Clinical Experience with Fetal Sex Chromosome Aneuploidy Identified by Non-Invasive Prenatal Testing in 45773 Cases

Clinical Experience with Fetal Sex Chromosome Aneuploidy Identified by Non-Invasive Prenatal Testing in 45773 Cases | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Clinical Experience with Fetal Sex Chromosome Aneuploidy Identified by Non-Invasive Prenatal Testing in 45773 Cases Xinran Lu, Chaohong Wang, Yuxiu Sun, Junxiang Tang, Keting Tong, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-39576/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective: To investigate the positive predictive value (PPV) and clinical features of non-invasive prenatal testing (NIPT) as a screening method in detecting sex chromosome aneuploidy (SCA) within a high-risk population at the Maternity and Child Health Hospital of Anhui Province. Methods: From June 2015 to June 2019, 45773 women with singleton pregnancies volunteered to take an NIPT. Cell-free fetal DNA was extracted for high-throughput sequencing and amniocentesis karyotype analysis was performed in pregnant women. Results: 314 high-risk pregnant women underwent NIPT and 143 chose invasive prenatal diagnosis. Karyotype analysis was performed in amniotic fluid cells, wherein 7 cases of 45,X (PPV: 12.50%), 16 cases of 47,XXX (PPV: 55.17%), 25 cases of 47,XXY (PPV: 71.43%), and 10 cases of 47,XYY(PPV: 76.92%) were confirmed. The PPV of NIPT for SCA was 40.56%. The rate of SCA detected in women aged 40 years and older was 0.39%, which was significantly different from that detected in women aged <30, 30–34, and 35–39 years (P < 0.05). The detection rates of 47,XXX and 47,XXY were significantly correlated with maternal age (P < 0.05), but those of 45,X and 47,XYY showed no significant correlation with maternal age. Conclusion: NIPT can be applied for the detection of SCA, but the detection accuracy is low. Genetic counseling and further prenatal diagnosis should be provided. Molecular Genetics Non-invasive prenatal testing Sex chromosomal aneuploidy Chromosome karyotyping analysis Next-generation sequencing advanced maternal age Prenatal screening Prenatal diagnosis Background Birth defects are structural deformities or functional abnormalities due to congenital, genetic or environmental factors. There are a main cause of prenatal death and child disability in China, affecting children’s health and quality of life and placing a mental burden on families and society. Chromosomal abnormalities are one of the most serious birth defects [ 1 ] . Thus, prenatal testing has become critical in preventing birth defects. In 1997, Lo et al [ 1 ] . discovered cell-free DNA derived from the Y-chromosome in the maternal plasma of pregnant women carrying male fetuses. Nowadays, with the development of high-throughput sequencing technology, NIPT is now recommended as the most accurate screening test for fetal trisomy 21 (T21), trisomy 18 (T18) and trisomy 13 (T13) of pregnant women with high risk of serum biochemistry screening results in the second trimester in clinical practice [ 1 , 3 ] . Extensive studies have demonstrated the high sensitivity and specificity of NIPT in screening T21, T18 and T13, with sensitivities of 95.9%, 86.5%, and 77.5% and specificities of 99.9%, 99.8%, and 99.9%, respectively [ 4 ] . Research has suggested that the PPV of T21, T18, and T13 were 65–94%, 47–85%, and 12–62%, respectively [ 5 ] . SCAs refer to conditions caused by numerical abnormalities in X and Y chromosomes, including Turner syndrome (45,X), triple X syndrome (47,XXX), Klinefelter syndrome (47,XXY) and 47,XYY syndrome (47,XYY) [ 1 ] . In general, SCA are usually experienced with infertility, short or tall stature, behavioral problems, mental disorder and developmental delay in intelligence and sexual [ 1 , 12 ] . However, the phenotype of patients span a large range of associated symptoms that vary in severity depending on the timing of diagnosis and types of SCA [ 6 , 7 , 8 , 9 , 10 , 11 ] . The incidence of SCA is estimated to be 1 in every 500 live births and about 75–90% cases are undiagnosed during their lifetime [ 12 ] . Despite having a combined prevalence greater than T21, SCA testing have not been included in prenatal screening programs, due to the frequently mild phenotype and coupled with uncertainty over the benefits of early treatments [ 13 ] . However, none of the screening methods was specifically used for SCA, except where an ultrasound finding of cystic hygroma, fetal hydrops and enlarged nuchal translucency may raise suspicion of 45,X [ 13 ] . Before NIPT technology was launched, the detection of sex chromosome abnormalities was diagnosed only through culture of amniotic fluid cells of high-risk pregnant women or newborn screening. It may increase the risk of procedure-related miscarriage and maternal anxiety. In the pre-NIPT era, about less than 50% of expected SCA were diagnosed during pregnancy [ 13 , 14 , 15 ] . PPV was calculated as the cases for which NIPT and confirmatory diagnostic testing were concordant (true-positive), divided by the cases with positive NIPT screening (true-positive plus false-positive), multiplied by 100. PPV is important because it indicates the probability that a positive result represents a true positive and is an index to evaluate the screen’s value in clinical. We used PPV to evaluate the efficiency of NIPT for SCA detection in our study. Recently, many laboratories offering NIPT included sex chromosome testing, because of the low number of samples, only few studies have investigated the efficiency of NIPT in detecting SCA, which remains limited. To our knowledge, this study has enrolled the largest number of pregnant women to research the clinical application value of SCA detected by NIPT in domestic. With the implementation of the second-child policy in China in 2014, the rate of pregnancy in women aged ≥ 35 years has gradually increased [ 5 ] . At present, it is generally believed that advanced maternal age is an important risk factor in chromosomal abnormalities [ 16 ] . Studies have shown that the incidence of SCA may be related to the age of the father and mother and the mother's parity, but only few relevant studies and the conclusions are also quite different [ 17 ] . An understanding of the correlation between SCA incidence and age would provide a solid basis for the development of appropriate prenatal screening and diagnostic methods. This study aimed to evaluate the screening value of NIPT for SCA testing and compare the association of maternal age with fetal SCA. Results Maternal characteristics From June 1, 2015 to June 30, 2019, a total of 45773 maternal blood samples from singleton pregnancies were collected in Maternity and Child Health Hospital of Anhui Province. In our study, the gestational age of pregnancy at the time of amniocentesis ranged from 12 + 0 –26 + 6 and the maternal age ranged from 16–45 years, with the < 30 age group forming the majority (17449/45773, 38.12%). Among the 45773 cases of NIPT, there were 17421 cases of advanced maternal age (38.06%), 19820 cases with high or critical risk (43.30%), 503 cases of fetal structural abnormalities or soft markers by B-ultrasound (1.10%), 86 cases of increased NT (NT ≥ 3 mm) (0.19%) and 7943 cases of volunteering NIPT with applicable people or people with caution (17.35%). Table 1 Maternal characteristics of pregnant women who underwent NIPT Maternal age (years) Number Percent (%) < 30 17449 38.12 30–34 11403 24.91 35–39 14353 31.36 ≥ 40 2568 5.61 Advanced maternal age(≥35 years old) 16921 36.97 Gestational age at NIPT (weeks) 26 77 0.17 Clinical features Advanced maternal age (age ≥ 35 years) 17421 38.06 High or critical risk of serological screening 19820 43.30 Fetal structural abnormalities or soft markers by B-ultrasound 503 1.10 Increased NT 86 0.19 Voluntary demand 7943 17.35 Other a 0 0.00 a Patients with interventional surgery contraindications: placenta previa, reoperative infection. The screening value of SCA detection by NIPT The total cases of SCA abnormal results were 314, including 58 cases of true-positive, 85 cases of false-positive and 171 cases of unverified. 147 pregnancies received positive results for 45,X. Among them, 56 pregnancies underwent invasive prenatal testing (38.10%). 7 cases were found to be true-positive, with the PPV of 12.50%. The NIPT and karyotype analysis was fully concordant in 1 case with the increased NT of 7.0 mm, 6 cases were mosaic 45,X. Karyotype information was available for 29 out of 61 NIPT results for 47,XXX (47.54%). There were 16 cases of true-positive. The PPV of 47,XXX was 55.17%. For 35 out of 71 NIPT results of 47,XXY with prenatal diagnostic (49.30%), 25 cases were identified to be true-positive with the PPV of 71.43%. Of those 35 cases with positive NIPT screening results for sex chromosome abnormalities of 47,XYY, karyotype information was available in 13 cases (37.14%), 10 cases were confirmed as true-positive. The PPV of 47,XYY was 76.92% (see Table 2 ). Moreover, the proportion of sex chromosome trisomy and monosomy were highly different. Of those 167 cases with positive screening results for sex chromosome trisomy, 52 out of 80 NIPT results were confirmed to be true-positive detected by invasive prenatal testing (65.00%). For 56 out of 147 cases for sex chromosome monosomy with prenatal diagnosis, 7 cases were consistent with NIPT results (12.50%). Chi-square tests were carried out to examine the associations between sex chromosome trisomy and monosomy X. Statistical significance was observed between the two groups (χ 2 = 16.166, P = 0.000). The PPV of SCA detected by NIPT was 40.56% (58/143). The PPV of SCA in pregnant women with advanced age group (≥ 35 years) was 48.44% (31/64), in high or critical risk of serological screening group was 27.5% (11/40), in voluntary demand for NIPT group was 45.16% (14/31) and in increased NT group was the high up to 44.44% (4/9). To our knowledge, the incidence of SCA with high or critical risk of serological screening in pregnant women aged < 30 year age group was 51.16% (22/43), while in pregnant women aged 30–34 year age group was 48.65% (18/37). There were no statistical significance between two groups (P < 0.05). The incidence of SCA with increased NT in pregnant women aged < 30 year age group and 30–34 year age group were 9.30% (5/43), 8.11% (4/37) and no statistical significance were found. (P < 0.05). Table 2 Overall performance of NIPT for SCA detection SCA type Positive NIPT cases Amniocentesis cases True- positive cases False-positive cases PPV (%) 45,X 147 56 7 49 12.50 47,XXX 61 29 16 13 55.17 47,XXY 71 35 25 10 71.43 47,XYY 35 13 10 3 76.92 Relationship between SCA detection rate and maternal age The pregnant women were classified by age at due date as follows: <30, 30–34, 35–39, and ≥ 40 years, and the incidence of SCA was evaluated in each age group. There was an increasing trend with maternal age. However, the difference was statistically significant for the detection rate of SCA in different aged groups (χ 2 = 17.541, P 0.05 for 45,X and χ 2 = 1.076, P > 0.05 for 47,XYY). Meanwhile, the incidences of 47,XXX and 47,XXY were different in pregnant women among all age groups (χ 2 = 11.370, P < 0.05 for 47,XXX and χ 2 = 12.704, P < 0.05 for 47,XXY). (see Table 3 ). The incidence of 45,X in pregnant women aged 30–34 years was lower, which was no significantly different from that of the < 30 year age group. The incidence of 47,XXX in women aged ≥ 40 years was significantly different from that of the < 30 year, 30–34 year, 35–39 year age groups (P < 0.05). The incidence of 47,XXY in pregnant women aged ≥ 40 years was 0.19% (5/2568), which was significantly different from that of the < 30 year age group (P < 0.05). However, there was no statistically significant difference in the incidence of 47,XYY among different age groups. The incidence of SCA in pregnant women aged ≥ 40 years was significantly different from that of the 35–39 years age group (χ 2 = 5.773, P = 0.016). Among 62 advanced-age pregnant women with positive results for SCA detected by NIPT that underwent invasive prenatal diagnosis, 30 were identified as true-positive. The results showed that the positive coincidence rate between NIPT technique and amniotic fluid karyotyping analysis was 48.39%. Table 3 SCA screening in pregnant women of different age groups Age (years) Number 45,X a 47,XXX b 47,XXY c 47,XYY d < 30 17449 2 (0.01) 5 (0.03) 4 (0.03) 3 (0.02) 30–34 11403 0 3 (0.03) 7 (0.06) 3 (0.03) 35–39 14353 4 (0.03) 4 (0.03) 9 (0.06) 4 (0.03) ≥ 40 2568 1 (0.04) 4 (0.16) 5 (0.19) 0 Total 45773 7 (0.02) 16 (0.03) 25 (0.05) 10 (0.02) a The incidence of 45,X was not significantly associated with maternal age (χ 2 = 4.335, P > 0.05) b The incidence of 47,XXX was significantly associated with maternal age (χ 2 = 11.370, P < 0.05) c The incidence of 47,XXY was significantly associated with maternal age (χ 2 = 12.704, P 0.05) Discussion NIPT has been widely applied in clinical for screening T21, T18 and T13 in the last few years. But, it is still lacking large-scale studies on the efficiency of NIPT for SCA. The overall PPV of SCA detected by NIPT was 40.56%, which displayed a lower PPV compared with other studies. One possible reason was that the study included cases that were not confirmed but rather suspected because of the clinical findings, which could have an impact on the calculated PPV [ 1 , 18 , 19 , 20 ] . When classified into individual SCAs, the PPVs were 12.50% for 45,X, 55.17% for 47,XXX, 71.43% for 47,XXY, and 76.92% for 47,XYY, similar to previous studies [ 17 , 18 ] . We have also evaluate the different PPV of NIPT with different pregnancies characteristics. Advanced maternal age (≥ 35 years) is a high risk factor for SCA. Our study showed that NIPT performed better in predicting sex chromosome trisomies than monosomy X. This is potentially because the low guanosine-cytosine content of the X chromosome leads to highly variable amplification of the X chromosome, as well as the occurrence of age-related X chromosome loss in normal female white blood cells [ 5 ] . The PPV of SCA is lower than other common chromosome aneuploidy. The reason is that sex chromosome abnormalities are less prevalent [ 5 ] . With regard to the discordance between NIPT and invasive prenatal testing, the explanations are as follows. First, a study by Wang et al. reported that 8.6% positive results for SCA were due to maternal mosaicism [ 21 ] , with other studies supporting this opinion [ 1 , 2 , 18 ] . Previous studies have demonstrated that identification of maternal karyotype will decrease the rate of false-positive SCA and can offer an explanation for the false-positive results for SCA [ 2 , 4 , 22 , 23 ] . Another reason for the discordant results is confined placental mosaicism, which happens in approximately 1% of all pregnancies [ 2 ] . The origin of most cell-free fetal DNA in the maternal plasma is mostly from the apoptosis of placental cells from the cytotrophoblast [ 24 ] . The mosaicism degree reduces the effective cell-free fetal DNA concentration in maternal plasma, thus impacting the performance of NIPT in detecting fetal aneuploidies. In our study, there were 2 false-positive cases due to maternal mosaicism, with z-scores of 62.09 and 101.41 (normal range: -3 < z-score < 3). The results were confirmed by the maternal peripheral blood karyotyping. The clinical symptoms of SCA include impaired fertility, characteristic physical features and development abnormal in intelligence and sexual [ 13 ] . Recent studies demonstrated that early interventions such as postnatal hormone therapy, physical therapy and occupational therapy can have positive influences on the behavioral phenotype or neurodevelopmental outcomes if applied earlier to SCA patients [ 11 ] . Prenatal screening and diagnosis of SCA can provide the opportunity for early intervention, postnatal comprehensive management and improve the quality of life of the affected child [ 12 , 26 , 27 , 28 ] . Sex chromosome abnormalities are more common than the major trisomies at birth and the neonates are often phenotypically normal [ 30 ] . Conventional prenatal screening can not directly identified sex chromosome abnormalities and these can only be identified in postnatal karyotyping. And these would delay the best period of treatment of SCA patients. With the application of NIPT, SCA can be prenatally detected. Although it increases the number of invasive prenatal diagnosis, the benefit of detection for fetal SCA is outweigh the risk related to the invasive procedures. The application of NIPT are able to provide an alternate option for pregnant women to invasive prenatal testing for identification of fetal sex chromosome abnormalities. There are still some issues that require further consideration. Due to the low PPV of NIPT screening for SCA, this will increase unnecessary invasive prenatal diagnosis rate, especially for 45,X [ 2 ] . Some pregnant women will terminate pregnancy when their chromosomal abnormalities were accidentally discovered by SCA screening [ 31 , 32 , 33 ] , and this involves ethical issues regarding the mild phenotype of SCA and the potential increase in the rate of gender selection [ 2 ] . The differences in the incidence of SCA were statistical significant among the age groups and the incidence was significantly higher in the ≥ 40 years age group (P < 0.05). The lowest detection rate was 0.08% in women age < 30 years, which is considered as the ideal age for childbearing. Advanced-age pregnant women have an increased risk of bearing a fetus with an SCA. Therefore, genetic counseling combined with serum biochemical screening and ultrasound detection of abnormalities, should be fully carried out for advanced-age pregnant women. The incidences of 45,X and 47,XYY were significantly correlated with maternal age, whereas those of 47,XXX and 47,XXY did not show significant correlations [ 5 , 35 ] . Although there was no statistical significance between the incidence of 47,XYY and the maternal age, but it observed that the incidence of 47,XYY decreased with maternal age in the advanced aged group. To determine whether there is a correlation between the maternal age and the incidence of fetus 47,XXY, it still needs to expand the sample size to further research [ 16 ] . In summary, advanced-age pregnant women have a risk to have a fetal with sex chromosome trisomy, especially 47,XXX or 47,XXY [ 5 , 16 ] . There were some studies have showed that for 45,X syndrome, the maternal age coefficient is negative and imply a decreasing incidence in older mothers [ 16 ] , but our study did not find. Understanding the incidence rate of SCA have proved valuable in counseling couples who seek advice about the risk of fetal sex chromosome abnormalities with advanced maternal age and are considering the option of prenatal diagnosis and termination of pregnancy. In this study, we analysis the results of NIPT and prenatal diagnosis results as well as the association of maternal age with fetal SCA. There are some limitations in our study. First, false-negative samples remain unavailable because of the absence of neonatal karyotype information, and most children do not show symptoms in the neonatal period. Therefore, we do not have access to compute sensitivity and specificity. Second, our study did not include such as gravidity and parity history, paternal age, which might be associated with fetal sex chromosome abnormalities as relevant studies reported. Conclusions We herein reported a large-scale retrospective study investigating the application of NIPT as a screening technique for SCA detection in singleton pregnancies and the association of maternal age with fetal SCA. NIPT performed better in predicting sex chromosome trisomies than monosomy X. As noted above, false-positive cases do exist and are detected by NIPT. Hence, it is necessary to highlight the importance of pre-test and post-test counseling before a choice is made to terminate the pregnancy. The results of this study showed that the incidences of 47,XXX and 47,XXY were correlated with maternal age, but correlations were not observed with 45,X and 47,XYY. To further investigate and validate the clinical application of NIPT in screening SCA, large long-term studies will be required. Methods Subjects In this study, 45773 women with singleton pregnancies who underwent NIPT at the Maternity and Child Health Hospital of Anhui Province between June 1, 2015 and June 30, 2019 were enrolled. The maternal age, serum biochemical screening results, and ultrasonic findings were recorded. The NIPT indications were as follows: pregnant women aged ≥35 years who refused to undergo invasive prenatal diagnosis; high or critical risk identified by serum biochemical screening; ultrasonography abnormalities; applicable or careful use of pregnant women who volunteered to undergo NIPT. Each pregnant women accepted comprehensive and detailed prenatal genetic counseling before NIPT. Collection of personal information, specimen preparation, and testing were performed with the consent of the participating pregnant women and informed written consent was obtained from all participants who received NIPT. The study was approved by the Ethics Committee of the Anhui Medical University. If a pregnant woman has received a positive NIPT result, invasive prenatal testing (such as amniocentesis) would be recommended by a clinical geneticist or obstetrician. NIPT With the informed consent of the pregnant women, 10 mL of maternal peripheral blood was collected in a Cell-Free DNA BCTTM tube (EDTA). Plasma was separated from the maternal plasma by two rounds of centrifugation within 48 h. Whole blood was centrifuged at 1600 × g for 10 min at 4°C and the supernatant was then centrifuged at 16000 × g for 10 min. The maternal plasma was immediately stored at -80°C until DNA extraction. Extraction of cell-free fetal DNA, library construction, quality control, and pooling were performed in the laboratory of Maternity and Child Health Hospital of Anhui Province. DNA was extracted by the QIAamp Circulating Nucleic Acid Kit (Qiagen). The pooled library was sequenced using an Illumina CN500 with the Bambni Plus Test Data Analysis System for bioinformatic analysis of the sequencing data. The sequencing reads were filtered and aligned to the human reference genome (hg19) [5] . The z-score values were calculated for each chromosome and the results were interpreted with a cut-off value of ±3. Chromosome z-score values that were between -3.0 and 3.0 were classified as normal. Z-scores with an absolute value of greater than 3.0 were classified as chromosomal abnormalities. Karyotype analysis of amniotic fluid Pregnant women who received positive results for SCA detection by NIPT agreed to undergo invasive prenatal diagnosis, which is the gold standard for chromosome aneuploidy testing. Under ultrasound guidance, 20 mL of amniotic fluid was aseptically withdrawn from the pregnant women by amniocentesis. Inoculation, culture, G-banding, and karyotype scanning using a GSL-120 automatic karyotype scanner were performed. According to the principle outlined by “An International System for Human Cytogenetic Nomenclature, ISCN2013”, a total of 30 dividing phases were counted per sample, using an AI chromosome image analysis system (CytoVision, Switzerland). Five karyotypes were analyzed and double counts were obtained in the case of chimeras. Data and statistical analysis Statistical analysis was performed using SPSS version 23 (SPSS Inc., Chicago, IL, USA). A chi-square test was applied to compare the incidence of SCA among pregnant women in different age groups. A P value of <0.05 was considered as statistically significant. Abbreviations NIPT: non-invasive prenatal testing; SCA: sex chromosome aneuploidy; PPV: Positive Predictive Value; T13: trisomy 13; T18: trisomy 18; T21: trisomy 21; 45,X: Turner syndrome; 47,XXX: triple X syndrome; 47,XXY: Klinefelter syndrome; 47,XYY: 47,XYY syndrome Declarations Acknowledgements We are highly thankful to the patients who had provided their peripheral blood cell and amniotic fluid for this study. We are also grateful to the technical support of doctors and paramedic staff of Maternity and Child Health Hospital, Hefei, Anhui, PR China. Author’s contribution LU Xinran worked out the ideas of the article and drafted the manuscript. Wang Chaohong and SUN Yuxiu collected datas. TANG Junxiang analysed the data and interpretation. TONG Keting participated the laboratory workflow. Zhu Jiansheng oversaw the work and revised the manuscript. All authors have read and approved the final manuscript. Funding Not Applicable. Availability of data and materials The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. Ethics approval and consent to participate The study was approved by the Ethics Committee of the Anhui Medical University. Consent for publication Not Applicable Competing interests The authors have declared no conflict of interest. References Zhang B, Lu BY, Yu B,et al. Noninvasive prenatal screening for fetal common sex chromosome aneuploidies from maternal blood [J]. J Int Med Res. 2017452621–630. Xu Y, Chen L, Liu Y, Hao Y, Xu Z, Deng L, Xie J. Screening, prenatal diagnosis, and prenatal decision for sex chromosome aneuploidy. Expert Rev Mol Diagn. 2019;19(6):537–42. Gil M, Quezada M, Revello R, et al. Analysis of cell-free DNA in maternal blood in screening for foetal aneuploidies: updated meta-analysis. Ultrasound Obstet Gynecol. 2017;50(3):302–14. Taylor-Phillips S, Freeman K, Geppert J, et al. 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Nicolaides KH, Musci TJ, Struble CA, Singelaki A, Gil MM. Assessment of fetal sex chromosome aneuploidy using directed cell-free DNA analysis. Fetal Diagn Ther. 2014;35:1–6. Mujezinovic F, Alfirevic Z. Procedure-related complications of amniocentesis and chorionic villus sampling. Obstet Gynecol. 2007;110:687–94. Alfirevic Z, Navaratnam K, Mujezinovic F. Amniocentesis and chorionic villus sampling for prenatal diagnosis. Cochrane Database Syst Rev. 2017;9(9). Tabor A, Alfirevic Z. Update on Procedure-related Risks for Prenatal Diagnosis Techniques. Fetal Diagn Ther. 2010;27:1–7. Driscoll DA, Gross S. Clinical practice. Prenatal screening for aneuploidy. N Engl J Med. 2009;360:2556e62. Forabosco A, Percesepe A, Santucci S. Incidence of non-age-dependent chromosomal abnormalities: a population-based study on 88965 amniocenteses. Eur J Hum Genet. 2009;17:897e903. 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Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-39576","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":766049,"identity":"bebd2339-1d8f-402a-821b-204e3051da1f","order_by":0,"name":"Xinran Lu","email":"","orcid":"https://orcid.org/0000-0001-5648-820X","institution":"Affiliated Maternity and Child Health Hospital of Anhui Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xinran","middleName":"","lastName":"Lu","suffix":""},{"id":766050,"identity":"02881e1c-c0d8-4eeb-9afd-3f4bc6b3c0c4","order_by":1,"name":"Chaohong Wang","email":"","orcid":"","institution":"Maternity and Child Health Hospital of Anhui Province","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Chaohong","middleName":"","lastName":"Wang","suffix":""},{"id":766051,"identity":"a32065cc-34ec-4276-90f2-b25920594eda","order_by":2,"name":"Yuxiu Sun","email":"","orcid":"","institution":"Maternity and Child Health Hospital of Anhui Province","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yuxiu","middleName":"","lastName":"Sun","suffix":""},{"id":766052,"identity":"2c9c3228-c076-4c87-9551-57a12fd67911","order_by":3,"name":"Junxiang Tang","email":"","orcid":"","institution":"Maternity and Child Health Hospital of Anhui Province","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Junxiang","middleName":"","lastName":"Tang","suffix":""},{"id":766053,"identity":"6d388539-9748-42d3-9522-c4eae1a36575","order_by":4,"name":"Keting Tong","email":"","orcid":"","institution":"Maternity and Child Health Hospital of Anhui Province","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Keting","middleName":"","lastName":"Tong","suffix":""},{"id":766054,"identity":"a3f20e0c-6995-466d-a04d-16632c11be70","order_by":5,"name":"Jiansheng Zhu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYBAC+/b2Awc/GPyv72dvIFKLAc+ZxMMSFcyMM3sOEKtFIsH4AM8ZZsYNNxKI1GIukZBwQLKNjZnh5uONNxhqbKIJarHseXjgQGEbDxvj7LRiC4ZjabkNBPUcB9siwcMsnWMmwdhwmAgtBxIMDvC2GUiwSZ4hUovBCaAWnjMJBjwSPERqkew5kwAM5AMJEjxAvyQQ4xd+9vbDHz8YHEiwP354440PNTZE+AXZkRIJpCiHaCFVxygYBaNgFIwMAAC72ERsnSTwTgAAAABJRU5ErkJggg==","orcid":"","institution":"","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Jiansheng","middleName":"","lastName":"Zhu","suffix":""}],"badges":[],"createdAt":"2020-07-01 13:11:40","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-39576/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-39576/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":13549558,"identity":"9742aa46-0d51-4dbc-acf1-625c67f5c28e","added_by":"auto","created_at":"2021-09-17 02:21:38","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":329060,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-39576/v1/220754ab-09fa-4b95-8fdb-1c749c537de9.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eClinical Experience with Fetal Sex Chromosome Aneuploidy Identified by Non-Invasive Prenatal Testing in 45773 Cases\u003c/p\u003e","fulltext":[{"header":"Background","content":" \u003cp\u003eBirth defects are structural deformities or functional abnormalities due to congenital, genetic or environmental factors. There are a main cause of prenatal death and child disability in China, affecting children\u0026rsquo;s health and quality of life and placing a mental burden on families and society. Chromosomal abnormalities are one of the most serious birth defects\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e. Thus, prenatal testing has become critical in preventing birth defects.\u003c/p\u003e \u003cp\u003eIn 1997, Lo et al\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e. discovered cell-free DNA derived from the Y-chromosome in the maternal plasma of pregnant women carrying male fetuses. Nowadays, with the development of high-throughput sequencing technology, NIPT is now recommended as the most accurate screening test for fetal trisomy 21 (T21), trisomy 18 (T18) and trisomy 13 (T13) of pregnant women with high risk of serum biochemistry screening results in the second trimester in clinical practice\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e. Extensive studies have demonstrated the high sensitivity and specificity of NIPT in screening T21, T18 and T13, with sensitivities of 95.9%, 86.5%, and 77.5% and specificities of 99.9%, 99.8%, and 99.9%, respectively\u003csup\u003e[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e. Research has suggested that the PPV of T21, T18, and T13 were 65\u0026ndash;94%, 47\u0026ndash;85%, and 12\u0026ndash;62%, respectively\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eSCAs refer to conditions caused by numerical abnormalities in X and Y chromosomes, including Turner syndrome (45,X), triple X syndrome (47,XXX), Klinefelter syndrome (47,XXY) and 47,XYY syndrome (47,XYY)\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e. In general, SCA are usually experienced with infertility, short or tall stature, behavioral problems, mental disorder and developmental delay in intelligence and sexual\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/sup\u003e. However, the phenotype of patients span a large range of associated symptoms that vary in severity depending on the timing of diagnosis and types of SCA\u003csup\u003e[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. The incidence of SCA is estimated to be 1 in every 500 live births and about 75\u0026ndash;90% cases are undiagnosed during their lifetime\u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/sup\u003e. Despite having a combined prevalence greater than T21, SCA testing have not been included in prenatal screening programs, due to the frequently mild phenotype and coupled with uncertainty over the benefits of early treatments\u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. However, none of the screening methods was specifically used for SCA, except where an ultrasound finding of cystic hygroma, fetal hydrops and enlarged nuchal translucency may raise suspicion of 45,X\u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. Before NIPT technology was launched, the detection of sex chromosome abnormalities was diagnosed only through culture of amniotic fluid cells of high-risk pregnant women or newborn screening. It may increase the risk of procedure-related miscarriage and maternal anxiety. In the pre-NIPT era, about less than 50% of expected SCA were diagnosed during pregnancy\u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003ePPV was calculated as the cases for which NIPT and confirmatory diagnostic testing were concordant (true-positive), divided by the cases with positive NIPT screening (true-positive plus false-positive), multiplied by 100. PPV is important because it indicates the probability that a positive result represents a true positive and is an index to evaluate the screen\u0026rsquo;s value in clinical. We used PPV to evaluate the efficiency of NIPT for SCA detection in our study. Recently, many laboratories offering NIPT included sex chromosome testing, because of the low number of samples, only few studies have investigated the efficiency of NIPT in detecting SCA, which remains limited. To our knowledge, this study has enrolled the largest number of pregnant women to research the clinical application value of SCA detected by NIPT in domestic.\u003c/p\u003e \u003cp\u003eWith the implementation of the second-child policy in China in 2014, the rate of pregnancy in women aged\u0026thinsp;\u0026ge;\u0026thinsp;35\u0026nbsp;years has gradually increased\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/sup\u003e. At present, it is generally believed that advanced maternal age is an important risk factor in chromosomal abnormalities\u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e. Studies have shown that the incidence of SCA may be related to the age of the father and mother and the mother's parity, but only few relevant studies and the conclusions are also quite different\u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e. An understanding of the correlation between SCA incidence and age would provide a solid basis for the development of appropriate prenatal screening and diagnostic methods.\u003c/p\u003e \u003cp\u003eThis study aimed to evaluate the screening value of NIPT for SCA testing and compare the association of maternal age with fetal SCA.\u003c/p\u003e "},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eMaternal characteristics\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eFrom June 1, 2015 to June 30, 2019, a total of 45773 maternal blood samples from singleton pregnancies were collected in Maternity and Child Health Hospital of Anhui Province. In our study, the gestational age of pregnancy at the time of amniocentesis ranged from 12\u003csup\u003e+\u0026thinsp;0\u003c/sup\u003e\u0026ndash;26\u003csup\u003e+\u0026thinsp;6\u003c/sup\u003e and the maternal age ranged from 16\u0026ndash;45 years, with the \u0026lt;\u0026thinsp;30 age group forming the majority (17449/45773, 38.12%). Among the 45773 cases of NIPT, there were 17421 cases of advanced maternal age (38.06%), 19820 cases with high or critical risk (43.30%), 503 cases of fetal structural abnormalities or soft markers by B-ultrasound (1.10%), 86 cases of increased NT (NT\u0026thinsp;\u0026ge;\u0026thinsp;3\u0026nbsp;mm) (0.19%) and 7943 cases of volunteering NIPT with applicable people or people with caution (17.35%).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMaternal characteristics of pregnant women who underwent NIPT\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaternal age (years)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePercent (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17449\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e38.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e30\u0026ndash;34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e11403\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24.91\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e35\u0026ndash;39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14353\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e31.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2568\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5.61\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdvanced maternal age(\u0026ge;35\u0026nbsp;years old)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e16921\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e36.97\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGestational age at NIPT (weeks)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;12\u003csup\u003e+\u0026thinsp;0\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e12\u0026ndash;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4853\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e16\u0026ndash;19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e33066\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e72.24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e20\u0026ndash;23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6740\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14.72\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e24\u0026ndash;26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1037\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e77\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClinical features\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdvanced maternal age (age\u0026thinsp;\u0026ge;\u0026thinsp;35\u0026nbsp;years)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17421\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e38.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh or critical risk of serological screening\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19820\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e43.30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFetal structural abnormalities or soft markers by B-ultrasound\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e503\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIncreased NT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVoluntary demand\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e7943\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003csup\u003ea\u003c/sup\u003e Patients with interventional surgery contraindications: placenta previa, reoperative infection.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e\u003cstrong\u003eThe screening value of SCA detection by NIPT\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eThe total cases of SCA abnormal results were 314, including 58 cases of true-positive, 85 cases of false-positive and 171 cases of unverified. 147 pregnancies received positive results for 45,X. Among them, 56 pregnancies underwent invasive prenatal testing (38.10%). 7 cases were found to be true-positive, with the PPV of 12.50%. The NIPT and karyotype analysis was fully concordant in 1 case with the increased NT of 7.0\u0026nbsp;mm, 6 cases were mosaic 45,X. Karyotype information was available for 29 out of 61 NIPT results for 47,XXX (47.54%). There were 16 cases of true-positive. The PPV of 47,XXX was 55.17%. For 35 out of 71 NIPT results of 47,XXY with prenatal diagnostic (49.30%), 25 cases were identified to be true-positive with the PPV of 71.43%. Of those 35 cases with positive NIPT screening results for sex chromosome abnormalities of 47,XYY, karyotype information was available in 13 cases (37.14%), 10 cases were confirmed as true-positive. The PPV of 47,XYY was 76.92% (see Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Moreover, the proportion of sex chromosome trisomy and monosomy were highly different. Of those 167 cases with positive screening results for sex chromosome trisomy, 52 out of 80 NIPT results were confirmed to be true-positive detected by invasive prenatal testing (65.00%). For 56 out of 147 cases for sex chromosome monosomy with prenatal diagnosis, 7 cases were consistent with NIPT results (12.50%). Chi-square tests were carried out to examine the associations between sex chromosome trisomy and monosomy X. Statistical significance was observed between the two groups (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;16.166, P\u0026thinsp;=\u0026thinsp;0.000).\u003c/p\u003e \u003cp\u003eThe PPV of SCA detected by NIPT was 40.56% (58/143). The PPV of SCA in pregnant women with advanced age group (\u0026ge;\u0026thinsp;35\u0026nbsp;years) was 48.44% (31/64), in high or critical risk of serological screening group was 27.5% (11/40), in voluntary demand for NIPT group was 45.16% (14/31) and in increased NT group was the high up to 44.44% (4/9). To our knowledge, the incidence of SCA with high or critical risk of serological screening in pregnant women aged\u0026thinsp;\u0026lt;\u0026thinsp;30\u0026nbsp;year age group was 51.16% (22/43), while in pregnant women aged 30\u0026ndash;34\u0026nbsp;year age group was 48.65% (18/37). There were no statistical significance between two groups (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The incidence of SCA with increased NT in pregnant women aged\u0026thinsp;\u0026lt;\u0026thinsp;30\u0026nbsp;year age group and 30\u0026ndash;34\u0026nbsp;year age group were 9.30% (5/43), 8.11% (4/37) and no statistical significance were found. (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eOverall performance of NIPT for SCA detection\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSCA type\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePositive NIPT cases\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAmniocentesis cases\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eTrue- positive cases\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eFalse-positive cases\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003ePPV (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e45,X\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e147\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12.50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e47,XXX\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e55.17\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e47,XXY\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e71.43\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e47,XYY\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e76.92\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e\u003cstrong\u003eRelationship between SCA detection rate and maternal age\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eThe pregnant women were classified by age at due date as follows: \u0026lt;30, 30\u0026ndash;34, 35\u0026ndash;39, and \u0026ge;\u0026thinsp;40 years, and the incidence of SCA was evaluated in each age group. There was an increasing trend with maternal age. However, the difference was statistically significant for the detection rate of SCA in different aged groups (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;17.541, P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The incidences of 45,X and 47,XYY did not differ in pregnant women among all age groups (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;4.335, P\u0026thinsp;\u0026gt;\u0026thinsp;0.05 for 45,X and χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;1.076, P\u0026thinsp;\u0026gt;\u0026thinsp;0.05 for 47,XYY). Meanwhile, the incidences of 47,XXX and 47,XXY were different in pregnant women among all age groups (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;11.370, P\u0026thinsp;\u0026lt;\u0026thinsp;0.05 for 47,XXX and χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;12.704, P\u0026thinsp;\u0026lt;\u0026thinsp;0.05 for 47,XXY). (see Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The incidence of 45,X in pregnant women aged 30\u0026ndash;34\u0026nbsp;years was lower, which was no significantly different from that of the \u0026lt;\u0026thinsp;30\u0026nbsp;year age group. The incidence of 47,XXX in women aged\u0026thinsp;\u0026ge;\u0026thinsp;40\u0026nbsp;years was significantly different from that of the \u0026lt;\u0026thinsp;30 year, 30\u0026ndash;34 year, 35\u0026ndash;39\u0026nbsp;year age groups (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The incidence of 47,XXY in pregnant women aged\u0026thinsp;\u0026ge;\u0026thinsp;40\u0026nbsp;years was 0.19% (5/2568), which was significantly different from that of the \u0026lt;\u0026thinsp;30\u0026nbsp;year age group (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). However, there was no statistically significant difference in the incidence of 47,XYY among different age groups. The incidence of SCA in pregnant women aged\u0026thinsp;\u0026ge;\u0026thinsp;40\u0026nbsp;years was significantly different from that of the 35\u0026ndash;39\u0026nbsp;years age group (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;5.773, P\u0026thinsp;=\u0026thinsp;0.016). Among 62 advanced-age pregnant women with positive results for SCA detected by NIPT that underwent invasive prenatal diagnosis, 30 were identified as true-positive. The results showed that the positive coincidence rate between NIPT technique and amniotic fluid karyotyping analysis was 48.39%.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSCA screening in pregnant women of different age groups\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge (years)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e45,X\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e47,XXX\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e47,XXY\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e47,XYY\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17449\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (0.01)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e5 (0.03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4 (0.03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3 (0.02)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e30\u0026ndash;34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e11403\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3 (0.03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e7 (0.06)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3 (0.03)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e35\u0026ndash;39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e14353\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4 (0.03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4 (0.03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e9 (0.06)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4 (0.03)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2568\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (0.04)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4 (0.16)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5 (0.19)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e45773\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7 (0.02)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e16 (0.03)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e25 (0.05)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10 (0.02)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003csup\u003ea\u003c/sup\u003e The incidence of 45,X was not significantly associated with maternal age (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;4.335, P\u0026thinsp;\u0026gt;\u0026thinsp;0.05)\u003c/p\u003e \u003cp\u003e \u003csup\u003eb\u003c/sup\u003e The incidence of 47,XXX was significantly associated with maternal age (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;11.370, P\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e \u003cp\u003e \u003csup\u003ec\u003c/sup\u003e The incidence of 47,XXY was significantly associated with maternal age (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;12.704, P\u0026thinsp;\u0026lt;\u0026thinsp;0.05)\u003c/p\u003e \u003cp\u003e \u003csup\u003ed\u003c/sup\u003e The incidence of 47,XYY was not significantly associated with maternal age (χ\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;1.076, P\u0026thinsp;\u0026gt;\u0026thinsp;0.05)\u003c/p\u003e "},{"header":"Discussion","content":" \u003cp\u003eNIPT has been widely applied in clinical for screening T21, T18 and T13 in the last few years. But, it is still lacking large-scale studies on the efficiency of NIPT for SCA. The overall PPV of SCA detected by NIPT was 40.56%, which displayed a lower PPV compared with other studies. One possible reason was that the study included cases that were not confirmed but rather suspected because of the clinical findings, which could have an impact on the calculated PPV\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e. When classified into individual SCAs, the PPVs were 12.50% for 45,X, 55.17% for 47,XXX, 71.43% for 47,XXY, and 76.92% for 47,XYY, similar to previous studies\u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e. We have also evaluate the different PPV of NIPT with different pregnancies characteristics. Advanced maternal age (\u0026ge;\u0026thinsp;35\u0026nbsp;years) is a high risk factor for SCA. Our study showed that NIPT performed better in predicting sex chromosome trisomies than monosomy X. This is potentially because the low guanosine-cytosine content of the X chromosome leads to highly variable amplification of the X chromosome, as well as the occurrence of age-related X chromosome loss in normal female white blood cells\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/sup\u003e. The PPV of SCA is lower than other common chromosome aneuploidy. The reason is that sex chromosome abnormalities are less prevalent\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/sup\u003e. With regard to the discordance between NIPT and invasive prenatal testing, the explanations are as follows. First, a study by Wang et al. reported that 8.6% positive results for SCA were due to maternal mosaicism\u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e, with other studies supporting this opinion\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e. Previous studies have demonstrated that identification of maternal karyotype will decrease the rate of false-positive SCA and can offer an explanation for the false-positive results for SCA\u003csup\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]\u003c/sup\u003e. Another reason for the discordant results is confined placental mosaicism, which happens in approximately 1% of all pregnancies\u003csup\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e. The origin of most cell-free fetal DNA in the maternal plasma is mostly from the apoptosis of placental cells from the cytotrophoblast\u003csup\u003e[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]\u003c/sup\u003e. The mosaicism degree reduces the effective cell-free fetal DNA concentration in maternal plasma, thus impacting the performance of NIPT in detecting fetal aneuploidies. In our study, there were 2 false-positive cases due to maternal mosaicism, with z-scores of 62.09 and 101.41 (normal range: -3\u0026thinsp;\u0026lt;\u0026thinsp;z-score\u0026thinsp;\u0026lt;\u0026thinsp;3). The results were confirmed by the maternal peripheral blood karyotyping.\u003c/p\u003e \u003cp\u003eThe clinical symptoms of SCA include impaired fertility, characteristic physical features and development abnormal in intelligence and sexual\u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. Recent studies demonstrated that early interventions such as postnatal hormone therapy, physical therapy and occupational therapy can have positive influences on the behavioral phenotype or neurodevelopmental outcomes if applied earlier to SCA patients\u003csup\u003e[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. Prenatal screening and diagnosis of SCA can provide the opportunity for early intervention, postnatal comprehensive management and improve the quality of life of the affected child\u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]\u003c/sup\u003e. Sex chromosome abnormalities are more common than the major trisomies at birth and the neonates are often phenotypically normal\u003csup\u003e[\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]\u003c/sup\u003e. Conventional prenatal screening can not directly identified sex chromosome abnormalities and these can only be identified in postnatal karyotyping. And these would delay the best period of treatment of SCA patients. With the application of NIPT, SCA can be prenatally detected. Although it increases the number of invasive prenatal diagnosis, the benefit of detection for fetal SCA is outweigh the risk related to the invasive procedures. The application of NIPT are able to provide an alternate option for pregnant women to invasive prenatal testing for identification of fetal sex chromosome abnormalities. There are still some issues that require further consideration. Due to the low PPV of NIPT screening for SCA, this will increase unnecessary invasive prenatal diagnosis rate, especially for 45,X\u003csup\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e. Some pregnant women will terminate pregnancy when their chromosomal abnormalities were accidentally discovered by SCA screening\u003csup\u003e[\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]\u003c/sup\u003e, and this involves ethical issues regarding the mild phenotype of SCA and the potential increase in the rate of gender selection\u003csup\u003e[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe differences in the incidence of SCA were statistical significant among the age groups and the incidence was significantly higher in the \u0026ge;\u0026thinsp;40\u0026nbsp;years age group (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The lowest detection rate was 0.08% in women age\u0026thinsp;\u0026lt;\u0026thinsp;30 years, which is considered as the ideal age for childbearing. Advanced-age pregnant women have an increased risk of bearing a fetus with an SCA. Therefore, genetic counseling combined with serum biochemical screening and ultrasound detection of abnormalities, should be fully carried out for advanced-age pregnant women. The incidences of 45,X and 47,XYY were significantly correlated with maternal age, whereas those of 47,XXX and 47,XXY did not show significant correlations\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]\u003c/sup\u003e. Although there was no statistical significance between the incidence of 47,XYY and the maternal age, but it observed that the incidence of 47,XYY decreased with maternal age in the advanced aged group. To determine whether there is a correlation between the maternal age and the incidence of fetus 47,XXY, it still needs to expand the sample size to further research\u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e. In summary, advanced-age pregnant women have a risk to have a fetal with sex chromosome trisomy, especially 47,XXX or 47,XXY\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e. There were some studies have showed that for 45,X syndrome, the maternal age coefficient is negative and imply a decreasing incidence in older mothers\u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e, but our study did not find. Understanding the incidence rate of SCA have proved valuable in counseling couples who seek advice about the risk of fetal sex chromosome abnormalities with advanced maternal age and are considering the option of prenatal diagnosis and termination of pregnancy.\u003c/p\u003e \u003cp\u003eIn this study, we analysis the results of NIPT and prenatal diagnosis results as well as the association of maternal age with fetal SCA. There are some limitations in our study. First, false-negative samples remain unavailable because of the absence of neonatal karyotype information, and most children do not show symptoms in the neonatal period. Therefore, we do not have access to compute sensitivity and specificity. Second, our study did not include such as gravidity and parity history, paternal age, which might be associated with fetal sex chromosome abnormalities as relevant studies reported.\u003c/p\u003e "},{"header":"Conclusions","content":" \u003cp\u003eWe herein reported a large-scale retrospective study investigating the application of NIPT as a screening technique for SCA detection in singleton pregnancies and the association of maternal age with fetal SCA. NIPT performed better in predicting sex chromosome trisomies than monosomy X. As noted above, false-positive cases do exist and are detected by NIPT. Hence, it is necessary to highlight the importance of pre-test and post-test counseling before a choice is made to terminate the pregnancy. The results of this study showed that the incidences of 47,XXX and 47,XXY were correlated with maternal age, but correlations were not observed with 45,X and 47,XYY. To further investigate and validate the clinical application of NIPT in screening SCA, large long-term studies will be required.\u003c/p\u003e "},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eSubjects\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, 45773 women with singleton pregnancies who underwent NIPT at the Maternity and Child Health Hospital of Anhui Province between June 1, 2015 and June 30, 2019 were enrolled. The maternal age, serum biochemical screening results, and ultrasonic findings were recorded. The NIPT indications were as follows: pregnant women aged \u0026ge;35 years who refused to undergo invasive prenatal diagnosis; high or critical risk identified by serum biochemical screening; ultrasonography abnormalities; applicable or careful use of pregnant women who volunteered to undergo NIPT. Each pregnant women accepted comprehensive and detailed prenatal genetic counseling before NIPT. Collection of personal information, specimen preparation, and testing were performed with the consent of the participating pregnant women and informed written consent was obtained from all participants who received NIPT. The study was approved by the Ethics Committee of the Anhui Medical University. If a pregnant woman has received a positive NIPT result, invasive prenatal testing (such as amniocentesis) would be recommended by a clinical geneticist or obstetrician.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNIPT\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWith the informed consent of the pregnant women, 10 mL of maternal peripheral blood was collected in a Cell-Free DNA BCTTM tube (EDTA). Plasma was separated from the maternal plasma by two rounds of centrifugation within 48 h. Whole blood was centrifuged at 1600 \u0026times; g for 10 min at 4\u0026deg;C and the supernatant was then centrifuged at 16000 \u0026times; g for 10 min. The maternal plasma was immediately stored at -80\u0026deg;C until DNA extraction. Extraction of cell-free fetal DNA, library construction, quality control, and pooling were performed in the laboratory of Maternity and Child Health Hospital of Anhui Province. DNA was extracted by the QIAamp Circulating Nucleic Acid Kit (Qiagen). The pooled library was sequenced using an Illumina CN500 with the Bambni Plus Test Data Analysis System for bioinformatic analysis of the sequencing data. The sequencing reads were filtered and aligned to the human reference genome (hg19)\u003csup\u003e[5]\u003c/sup\u003e. The z-score values were calculated for each chromosome and the results were interpreted with a cut-off value of \u0026plusmn;3. Chromosome z-score values that were between -3.0 and 3.0 were classified as normal. Z-scores with an absolute value of greater than 3.0 were classified as chromosomal abnormalities.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eKaryotype analysis of amniotic fluid\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePregnant women who received positive results for SCA detection by NIPT agreed to undergo invasive prenatal diagnosis, which is the gold standard for chromosome aneuploidy testing. Under ultrasound guidance, 20 mL of amniotic fluid was aseptically withdrawn from the pregnant women by amniocentesis. Inoculation, culture, G-banding, and karyotype scanning using a GSL-120 automatic karyotype scanner were performed. According to the principle outlined by \u0026ldquo;An International System for Human Cytogenetic Nomenclature, ISCN2013\u0026rdquo;, a total of 30 dividing phases were counted per sample, using an AI chromosome image analysis system (CytoVision, Switzerland). Five karyotypes were analyzed and double counts were obtained in the case of chimeras.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData and statistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStatistical analysis was performed using SPSS version 23 (SPSS Inc., Chicago, IL, USA). A chi-square test was applied to compare the incidence of SCA among pregnant women in different age groups. A P value of \u0026lt;0.05 was considered as statistically significant.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eNIPT: non-invasive prenatal testing; SCA: sex chromosome aneuploidy; PPV: Positive Predictive Value; T13: trisomy 13; T18: trisomy 18; T21: trisomy 21; 45,X: Turner syndrome; 47,XXX: triple X syndrome; 47,XXY: Klinefelter syndrome; 47,XYY: 47,XYY syndrome\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe are highly thankful to the patients who had provided their peripheral blood cell and amniotic fluid for this study. We are also grateful to the technical support of doctors and paramedic staff of Maternity and Child Health Hospital, Hefei, Anhui, PR China.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u0026rsquo;s contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eLU Xinran worked out the ideas of the article and drafted the manuscript. Wang Chaohong and SUN Yuxiu collected datas. TANG Junxiang analysed the data and interpretation. TONG Keting participated the laboratory workflow. Zhu Jiansheng oversaw the work and revised the manuscript. All authors have read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot Applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the Ethics Committee of the Anhui Medical University.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot Applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have declared no conflict of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e \u003cspan\u003eZhang B, Lu BY, Yu B,et al. 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Fetal Diagn Ther. 2014;35:1\u0026ndash;6.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eMujezinovic F, Alfirevic Z. Procedure-related complications of amniocentesis and chorionic villus sampling. Obstet Gynecol. 2007;110:687\u0026ndash;94.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eAlfirevic Z, Navaratnam K, Mujezinovic F. Amniocentesis and chorionic villus sampling for prenatal diagnosis. Cochrane Database Syst Rev. 2017;9(9).\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eTabor A, Alfirevic Z. Update on Procedure-related Risks for Prenatal Diagnosis Techniques. Fetal Diagn Ther. 2010;27:1\u0026ndash;7.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eDriscoll DA, Gross S. Clinical practice. Prenatal screening for aneuploidy. N Engl J Med. 2009;360:2556e62.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eForabosco A, Percesepe A, Santucci S. Incidence of non-age-dependent chromosomal abnormalities: a population-based study on 88965 amniocenteses. Eur J Hum Genet. 2009;17:897e903.\u003c/span\u003e \u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Non-invasive prenatal testing, Sex chromosomal aneuploidy, Chromosome karyotyping analysis, Next-generation sequencing, advanced maternal age, Prenatal screening, Prenatal diagnosis","lastPublishedDoi":"10.21203/rs.3.rs-39576/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-39576/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eObjective:\u003c/strong\u003e To investigate the positive predictive value (PPV) and clinical features of non-invasive prenatal testing (NIPT) as a screening method in detecting sex chromosome aneuploidy (SCA) within a high-risk population at the Maternity and Child Health Hospital of Anhui Province.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e From June 2015 to June 2019, 45773 women with singleton pregnancies volunteered to take an NIPT. Cell-free fetal DNA was extracted for high-throughput sequencing and amniocentesis karyotype analysis was performed in pregnant women. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e 314 high-risk pregnant women underwent NIPT and 143 chose invasive prenatal diagnosis. Karyotype analysis was performed in amniotic fluid cells, wherein 7 cases of 45,X (PPV: 12.50%), 16 cases of 47,XXX (PPV: 55.17%), 25 cases of 47,XXY (PPV: 71.43%), and 10 cases of 47,XYY(PPV: 76.92%) were confirmed. The PPV of NIPT for SCA was 40.56%. The rate of SCA detected in women aged 40 years and older was 0.39%, which was significantly different from that detected in women aged \u0026lt;30, 30–34, and 35–39 years (P \u0026lt; 0.05). The detection rates of 47,XXX and 47,XXY were significantly correlated with maternal age (P \u0026lt; 0.05), but those of 45,X and 47,XYY showed no significant correlation with maternal age.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e NIPT can be applied for the detection of SCA, but the detection accuracy is low. Genetic counseling and further prenatal diagnosis should be provided.\u003c/p\u003e","manuscriptTitle":"Clinical Experience with Fetal Sex Chromosome Aneuploidy Identified by Non-Invasive Prenatal Testing in 45773 Cases","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-07-08 09:42:47","doi":"10.21203/rs.3.rs-39576/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"eafe32cb-b5a0-4601-aa91-8feec0e7803a","owner":[],"postedDate":"July 8th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":145738,"name":"Molecular Genetics"}],"tags":[],"updatedAt":"2020-07-20T16:08:26+00:00","versionOfRecord":[],"versionCreatedAt":"2020-07-08 09:42:47","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-39576","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-39576","identity":"rs-39576","version":["v1"]},"buildId":"zQwnuV7TCBrMSSSToR1PI","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}