COVID-19 booster vaccine willingness among patients with chronic kidney disease in Taizhou, China

COVID-19 booster vaccine willingness among patients with chronic kidney disease in Taizhou, China | 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 Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article COVID-19 booster vaccine willingness among patients with chronic kidney disease in Taizhou, China He-Dan Chen, Guang-Biao Xu, Yan Chen, Xiao-Qing Lin, Li Lv, Tao-Hsin Tung, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1825407/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract Purpose Investgate the willingness of CKD patients to receive a COVID-19 booster vaccine dose and analyze the related factors of COVID-19 booster vaccine willingness in such patients. Methods An online questionnaire investigation addressing participants’ willingness to receive a booster dose of COVID-19 vaccine was organized among patients with chronic kidney disease in Taizhou, China. Result A total of 350 valid copies were retrieved, among which 246 respondents (70.29%) were willing to receive a COVID-19 booster vaccine dose. Binary logistic regression analysis showed that high perceived vaccine safety and effectiveness, non-hemodialysis treatment, and one or two rounds of COVID-19 vaccine were related to COVID-19 booster vaccine willingness of CKD patients. Therefore, enhancing propaganda on safety and efficacy of COVID-19 vaccine for CKD patients, raising their awareness about vaccination, and increasing vaccination of the first and second rounds can help increase the COVID-19 booster vaccination rate. Chronic kidney disease COVID-19 vaccine booster vaccine dose vaccine hesitancy Introduction The coronavirus disease 2019 (COVID-19) pandemic has been going on for nearly two years and has caused a persistent global pandemic, which affects physiological, and social activities of almost every individual 1 , 2 . The pandemic continues although the vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been available for one year 3 . There have been outbreaks over the world, and the several re-outbreaks occurred in China 4 .More than 5 million people died from COVID-19. COVID-19 vaccination is still considered as the most important measure against COVID-19 infection 5 . Chronic kidney disease (CKD) patients are highly risky for COVID-19. In other words, CKD is an independent risk factor for severe COVID-19 infection and death 6 – 8 . The antibody titer generated after the first and second rounds is usually lower in CKD patients than in healthy people due to immune dysfunction and defects 9 , 10 . COVID-19 booster doses can help enhance the immunity against COVID-19 in CKD patients, which are more necessary for Delta variant 11 . So far, there are only few studies on COVID-19 booster vaccine willingness in CKD patients. We performed a survey on COVID-19 booster vaccine willingness in CKD patients, and its related factors were investigated. Our findings may shed new light on how to increase the COVID-19 booster vaccination rate in CKID patients and enhance immune protection for this population. Methods 1. Study design and subjects Using a cross-sectional design, this study was carried out in Zhejiang Province from July to August 2021. Patients diagnosed with various stages of chronic kidney disease (including those receiving hemodialysis and peritoneal dialysis) were invited to participate in a questionnaire in outpatient department, wards or dialysis rooms.The online questionnaire form was designed and distributed via Sojump (Changsha Lanxing Information&Technology, Co., LTD., Hunan Province, China). The quick response (QR) code was generated accordingly. Therefore, the respondents could fill in the questionnaire simply by scanning the QR code. The present study followed the principles in the Declaration of Helsinki. The protocol was approved by the Ethics Committee of Zhejiang Taizhou Hospital (approval No.: K20210520). All procedures were carried out according to the guiding principles of the institutional ethics committee. All participants were voluntary to engage in the survey, who were also anonymous. 2. Structured questionnaire The participants were invited to fill in the questionnaire, and the following information was collected: (1) demographics, such as age, gender, residence, educational background, and occupation; (2) COVID-19 booster vaccine willingness. The respondents were asked the following question: “Are you willing to receive a COVID-19 booster vaccine dose?” (Four options: Very willing to, moderately willing to, unwilling to, very unwilling to); (3) perception of COVID-19 vaccine, which included the following questions: “What do you think about safety of COVID-19 vaccine so far (five options: very safe, safe, moderate, unsafe, very unsafe), “What do you think about effectiveness of COVID-19 vaccine” (four options: very effective, effective, barely effective, not effective at all); “What do you think about the risk of COVID-19 infection ?” (five options: very high, high, moderately low, very low); “Have you followed the news about COVID-19 vaccine?”(two options: yes or no); (4) medical history and underlying diseases: “Do you have underlying chronic diseases?” (two options: yes or no), “Which treatment you are currently receiving?” (four options: peritoneal dialysis, hemodialysis, medication treatment, no treatment), “Is the disease properly controlled (two options: yes or no)”; (5) receiving any round of COVID-19 vaccine or not: The following question was asked: “Have you received the first and second rounds of COVID-19 vaccine?” (three options: Not receiving any shot, yes (having received the first round), yes (having received the second round)”. Nearly all problems were closed-ended, and the respondents were provided with multiple answer options. 3. Statistical analysis Descriptive statistical analysis of the demographics, COVID-19 booster vaccine willingness and perception of COVID-19 vaccine among CKD patients were performed using frequencies, frequency distribution, and mean ± standard deviation. The differences in demographics, cognition and disease situation between patients willing to receive COVID-19 booster vaccine doses and those unwilling to were analyzed by the chi-square test and independent-samples t-test. Binary logistic regression analysis was used to identify the related factors of COVID-19 booster vaccine willingness. The odds ratio (OR) and 95% confidence interval (CI) were calculated. The significant variables identified by the univariate analysis (P < 0.05) were further included as independent variables in the regression model. All data were analyzed using IBM® SPSS® Statistics V26.0 (SPSS Inc., Chicago, IL, USA). P < 0.05 indicated significant difference. Results A total of 512 questionnaires were received in this survey, of which 350 were valid, and the response rate was 68%. Due to the few samples to some questions, we combined the corresponding questions. A total of 350 valid copies were retrieved, among which 246 patients (70.29%) were willing to receive COVID-19 booster vaccine doses. The related factors of COVID-19 booster vaccine willingness were further analyzed. It was found that the average age of patients willing to receive COVID-19 booster vaccine doses was 50.81 ± 14.01 years, which was significantly younger compared to 55.26 ± 13.01 years of those who were unwilling to (P < 0.05). There was also difference in COVID-19 booster vaccine willingness between patients with different educational backgrounds (P = 0.019). Compared with patients of junior middle school and below education (155, 66.24%), those of senior high school and above education were more willing to receive COVID-19 booster vaccine doses (91, 78.45%). Among patients receiving non-hemodialysis treatment, 171 patients (78.08%) were willing to receive COVID-19 booster vaccine doses. In contrast, among the patients receiving hemodialysis, only 75 patients (57.25%) were willing to receive COVID-19 booster vaccine doses, with significant difference (P < 0.001). A total of 93 patients had received the first or both the first and second rounds of COVID-19 vaccine, among which 85 patients (91.40%) were willing to receive COVID-19 booster vaccine doses. Among the patients who had not received any round, 62.65% (161/257) of them were willing to receive COVID-19 booster vaccine doses. There was significant difference in COVID-19 booster vaccine willingness between patients who had already received COVID-19 vaccine and those who had not received any round at all (P < 0.001). There were also significant differences in the perceived safety and effectiveness of COVID-19 vaccine and whether the patients continuously followed the news on COVID-19 vaccine between patients willing to receive COVID-19 booster vaccine doses and those unwilling to. However, the patients’ COVID-19 booster vaccine willingness was not significantly correlated with gender, residence, whether the disease was properly controlled, and whether there were comorbidities or not (Table 1 ). For further analysis, the willingness to receive COVID-19 booster vaccine doses was selected as a dependent variable, and the potential related factors, including age, educational background, treatment modality, having received the first and second rounds of COVID-19 vaccine or not, perceived safety and effectiveness of COVID-19 vaccine, and whether the patients continuously followed the news on COVID-19 vaccine were set as independent variables. These variables were introduced into the binary logistic regression model. The results showed that among the CKD patients, perceived safety and effectiveness of COVID-19 vaccine, having already received any round of COVID-19 vaccine or not, and treatment modality were significantly correlated with COVID-19 booster vaccine willingness. Higher perceived safety of the vaccine (OR 3.327, 95% CI 1.868–5.927), higher perceived effectiveness of the vaccine (OR 3.685, 95% CI 2.059–6.597), having received the first or both the first and second rounds of COVID-19 vaccine (OR 3.891, 95% CI 1.659–9.556), and receiving non-hemodialysis treatment (OR 1.986, 95% CI 1.093–3.608) were favorable factors of COVID-19 booster vaccine willingness for the patients (Table 2 ). Table 2 Related factors of COVID-19 booster vaccine willingness in CKD patients Significance Exp(B) 95% confidence interval of Exp(B) Lower limit Upper limit Continuously following the news on COVID-19 vaccine Yes vs. No 0.184 1.523 0.818 2.835 Age 0.923 0.999 0.978 1.020 Having received or not received COVID-19 vaccine Yes vs. No 0.002 3.897 1.643 9.241 Vaccines are effective Yes vs. No 0.026 2.001 1.085 3.690 The vaccines are safety Yes vs. No <0.001 3.283 1.764 6.111 Senior high school and above NO vs.Yes 0.108 0.598 0.319 1.120 Hemodialysis treatment NO vs.Yes 0.025 1.942 1.085 3.476 Discussion COVID-19 booster vaccine doses are essential to improve immunity against COVID-19 infection. It has been shown that the effective rate of COVID-19 vaccine against SARS-CoV-2 infection is 96% at four weeks after receiving a second shot, but decreases to 84% at six months after the vaccination 12 . COVID-19 booster vaccine doses can increase the antibody titer and have specificity to the Delta variant as well 13 . The immunity is significantly improved after the booster dose of the BNT162b2 messenger RNA vaccine in 7 to 9 months after the first and second rounds of COVID-19 vaccine 14 , 15 . Kamar et al. found that SARS-CoV-2 antibodies were detected in only 40% of the solid organ transplantation patients four weeks after the second round of COVID-19 vaccine. This percentage was increased to 68% after the third round of the vaccine 16 . We conducted a survey on COVID-19 booster vaccine willingness in CKD patients, and the results showed that up to 70.29% of the CKD patients were willing to receive COVID-19 booster vaccine doses. But according to other studies, 85.3% of the patients with chronic diseases received COVID-19 booster vaccine doses in Taizhou, China 17 . The booster vaccination rate reported in the present study was a bit lower. It was previously reported that 84.5% of Japanese medical students were willing to receive COVID-19 booster vaccine doses 18 . A survey among medical staffs in the US suggested that 63.6% of the respondents were willing to receive COVID-19 booster vaccine doses 19 . We also identified the related factors of COVID-19 booster vaccine willingness among CKD patients, namely, perceived safety and effectiveness of COVID-19 vaccine, having already received one or two rounds of COVID-19 vaccine, and the treatment modality. The patients’ perceived safety and effectiveness of COVID-19 vaccine were related to COVID-19 booster vaccine willingness. Another study indicated that compared with the willing patients, those who were unwilling to receive COVID-19 vaccine tended to have more negative views about safety and effectiveness of COVID-19 vaccine. They were more worried about the vaccination 20 – 22 . Therefore, enhancing perceived safety and effectiveness of COVID-19 vaccine is a prerequisite to increasing the COVID-19 vaccination rate. In our survey, only 93 out of 350 CKD patients (26.57%) had already received the first or both the first and second rounds of COVID-19 vaccine. This percentage was far lower than the local level in the same period (for more information, please check the statistics on COVID-19 vaccination in Taizhou or the whole China). In fact, the vaccination rate for other viruses and diseases is also lower in CKD patients than in the general population, including influenza, hepatitis A and B viruses, and Streptococcus pneumoniae 23 . It is noteworthy that 91.40% (85/93) of the CKD patients who had already received the first or both the first and second rounds of COVID-19 vaccine were willing to receive the booster doses. Meanwhile, 62.65% of the patients who had not received any round of COVID-19 vaccine were also willing to receive the booster doses. The above results indicated that enhancing the propaganda, raising perceived safety and effectiveness of COVID-19 vaccine, and eliminating the worries about COVID-19 vaccine will promote vaccination. It is even more necessary for hemodialysis patients to receive COVID19 booster vaccine doses 24 . But our survey reported the opposite results: the hemodialysis patients were less willing to receive COVID-19 booster vaccine doses. More specifically, the hemodialysis patients (56.98 ± 12.80) were older than non-hemodialysis patients (49.23 ± 13.67) in our survey. This result might be attributed to the lower perception of COVID-19 vaccine and poor awareness about vaccination. The present study also has some limitations. First of all, the respondents were inquired about their willingness to receive COVID-19 booster vaccine doses. However, willingness or unwillingness is not the same with actual behaviors. Secondly, only CKD patients at a specific hospital were surveyed. The findings in these patients cannot represent all CKD patients. Thirdly, the questionnaire survey was conducted via an online platform which is less accessible to the elderly and the less educated patients, and biases were inevitable. Conclusion It was found that 70.29% of the respondents with CKD surveyed were willing to receive COVID-19 booster vaccine doses. Higher perceived safety and effectiveness of the vaccine, receiving non-hemodialysis treatment, and having already received one or two rounds of COVID-19 vaccine were related to COVID-19 booster vaccine willingness. Enhancing propaganda on safety and efficacy of COVID-19 vaccine for CKD patients, raising their awareness about the vaccine, and increasing vaccination of the first and second rounds can help increase the booster vaccination rate. Declarations Ethic declarations The present study followed the principles in the Declaration of Helsinki. The protocol was approved by the Ethics Committee of Zhejiang Taizhou Hospital (approval No.: K20210520). All procedures were carried out according to the guiding principles of the institutional ethics committee. All participants were voluntary to engage in the survey, who were also anonymous. Availability of data The analyzed data sets generated during the present study are available from the corresponding author on reasonable request. Consent for publication Not applicable. Author contributions All authors edited and approved the final manuscript. J.S. Z. and T.H.T. conceived the study, J.S. Z. and T.H.T. designed the questionnaire. J.S. Z. collected the data. H.D.C. and G.B.X. was responsible for coding the analyses. H.D.C. analysed and interpreted the data and wrote the first draft of the paper. Y.C., X.Q.L and L.L searched, sorted, and interpreted the relevant literature. Competing interest No potential conflicts of interest were disclosed. Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We thank clinics and all health workers across Niger involved in the response against COVID-19 pandemics. Acknowledgements We thank all patients across Taizhou hospital of Zhejiang province involved in the response against the questionnaires. Author information H.D.C and G.B.X are Joint first authors, contributed equally to this article and share first authorship. References Cucinotta, D, Vanelli, M. WHO Declares COVID-19 a Pandemic. Acta bio-medica: Atenei Parmensis 2020;91(1):157–160. http://dx.doi.org/10.23750/abm.v91i1.9397 Murayama, H, Okubo, R, Tabuchi, T. Increase in Social Isolation during the COVID-19 Pandemic and Its Association with Mental Health: Findings from the JACSIS 2020 Study. International journal of environmental research and public health 2021;18(16). http://dx.doi.org/10.3390/ijerph18168238 Tsang, HF, Chan, LWC, Cho, WCS, et al. An update on COVID-19 pandemic: the epidemiology, pathogenesis, prevention and treatment strategies. Expert review of anti-infective therapy 2021;19(7):877–888. http://dx.doi.org/10.1080/14787210.2021.1863146 Keni, R, Alexander, A, Nayak, PG, et al. COVID-19: Emergence, Spread, Possible Treatments, and Global Burden. Frontiers in public health 2020;8:216. http://dx.doi.org/10.3389/fpubh.2020.00216 Salian, VS, Wright, JA, Vedell, PT, et al. COVID-19 Transmission, Current Treatment, and Future Therapeutic Strategies. Molecular pharmaceutics 2021;18(3):754–771. http://dx.doi.org/10.1021/acs.molpharmaceut.0c00608 Williamson, EJ, Walker, AJ, Bhaskaran, K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 2020;584(7821):430–436. http://dx.doi.org/10.1038/s41586-020-2521-4 Pakhchanian, H, Raiker, R, Mukherjee, A, et al. Outcomes of COVID-19 in CKD Patients: A Multicenter Electronic Medical Record Cohort Study. Clinical journal of the American Society of Nephrology: CJASN 2021;16(5):785–786. http://dx.doi.org/10.2215/cjn.13820820 Mohamed, NE, Benn, EKT, Astha, V, et al. Association between chronic kidney disease and COVID-19-related mortality in New York. World journal of urology 2021;39(8):2987–2993. http://dx.doi.org/10.1007/s00345-020-03567-4 Marlet, J, Gatault, P, Maakaroun, Z, et al. Antibody Responses after a Third Dose of COVID-19 Vaccine in Kidney Transplant Recipients and Patients Treated for Chronic Lymphocytic Leukemia. Vaccines 2021;9(10). http://dx.doi.org/10.3390/vaccines9101055 Ikizler, TA, Coates, PT, Rovin, BH, et al. Immune response to SARS-CoV-2 infection and vaccination in patients receiving kidney replacement therapy. Kidney Int 2021;99(6):1275–1279. http://dx.doi.org/10.1016/j.kint.2021.04.007 Harvey, WT, Carabelli, AM, Jackson, B, et al. SARS-CoV-2 variants, spike mutations and immune escape. Nature reviews Microbiology 2021;19(7):409–424. http://dx.doi.org/10.1038/s41579-021-00573-0 Thomas, SJ, Moreira, ED, Kitchin, N, et al. Six Month Safety and Efficacy of the BNT162b2 mRNA COVID-19 Vaccine. 2021:2021.2007.2028.21261159. http://dx.doi.org/10.1101/2021.07.28.21261159%J medRxiv Shekhar, R, Garg, I, Pal, S, et al. COVID-19 Vaccine Booster: To Boost or Not to Boost. Infectious disease reports 2021;13(4):924–929. http://dx.doi.org/10.3390/idr13040084 Falsey, AR, Frenck, RW, Jr., Walsh, EE, et al. SARS-CoV-2 Neutralization with BNT162b2 Vaccine Dose 3. The New England journal of medicine 2021;385(17):1627–1629. http://dx.doi.org/10.1056/NEJMc2113468 Hall, VG, Ferreira, VH, Ku, T, et al. Randomized Trial of a Third Dose of mRNA-1273 Vaccine in Transplant Recipients. The New England journal of medicine 2021;385(13):1244–1246. http://dx.doi.org/10.1056/NEJMc2111462 Kamar, N, Abravanel, F, Marion, O, et al. Three Doses of an mRNA Covid-19 Vaccine in Solid-Organ Transplant Recipients. The New England journal of medicine 2021;385(7):661–662. http://dx.doi.org/10.1056/NEJMc2108861 Tung, TH, Lin, XQ, Chen, Y, et al. Willingness to receive a booster dose of inactivated coronavirus disease 2019 vaccine in Taizhou, China. Expert review of vaccines 2021. http://dx.doi.org/10.1080/14760584.2022.2016401 Sugawara, N, Yasui-Furukori, N, Fukushima, A, et al. Attitudes of Medical Students toward COVID-19 Vaccination: Who Is Willing to Receive a Third Dose of the Vaccine? Vaccines 2021;9(11). http://dx.doi.org/10.3390/vaccines9111295 Pal, S, Shekhar, R, Kottewar, S, et al. COVID-19 Vaccine Hesitancy and Attitude toward Booster Doses among US Healthcare Workers. Vaccines 2021;9(11). http://dx.doi.org/10.3390/vaccines9111358 Lucia, VC, Kelekar, A, Afonso, NM. COVID-19 vaccine hesitancy among medical students. Journal of public health (Oxford, England) 2021;43(3):445–449. http://dx.doi.org/10.1093/pubmed/fdaa230 Luk, TT, Zhao, S, Wu, Y, et al. Prevalence and determinants of SARS-CoV-2 vaccine hesitancy in Hong Kong: A population-based survey. Vaccine 2021;39(27):3602–3607. http://dx.doi.org/10.1016/j.vaccine.2021.05.036 Okubo, R, Yoshioka, T, Ohfuji, S, et al. COVID-19 Vaccine Hesitancy and Its Associated Factors in Japan. Vaccines 2021;9(6). http://dx.doi.org/10.3390/vaccines9060662 Annunziata, K, Rak, A, Del Buono, H, et al. Vaccination rates among the general adult population and high-risk groups in the United States. PloS one 2012;7(11):e50553. http://dx.doi.org/10.1371/journal.pone.0050553 Garcia-Botella, A, Garcia-Lledo, A, Gomez-Pavon, J, et al. Booster or additional vaccination doses in patients vaccinated against COVID-19. Rev Esp Quimioter 2021. http://dx.doi.org/10.37201/req/149.2021 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board 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-1825407","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":132572003,"identity":"57d8d8ab-26a5-4282-9eb7-381cdd7915bf","order_by":0,"name":"He-Dan Chen","email":"","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Zhejiang University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"He-Dan","middleName":"","lastName":"Chen","suffix":""},{"id":132572004,"identity":"4efe603a-4e46-404d-99d9-6166d123e644","order_by":1,"name":"Guang-Biao Xu","email":"","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Wenzhou Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Guang-Biao","middleName":"","lastName":"Xu","suffix":""},{"id":132572005,"identity":"37f54084-cbcd-4196-9a87-98d09e2515f2","order_by":2,"name":"Yan Chen","email":"","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Wenzhou Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yan","middleName":"","lastName":"Chen","suffix":""},{"id":132572006,"identity":"34d410b0-467e-46d4-8715-972f97eeebc7","order_by":3,"name":"Xiao-Qing Lin","email":"","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Wenzhou Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xiao-Qing","middleName":"","lastName":"Lin","suffix":""},{"id":132572007,"identity":"703bb18a-ec44-413d-91f0-f89a85d37fc9","order_by":4,"name":"Li Lv","email":"","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Zhejiang University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Li","middleName":"","lastName":"Lv","suffix":""},{"id":132572008,"identity":"3508c82e-585c-4d5d-9882-ad6af2f3c6a5","order_by":5,"name":"Tao-Hsin Tung","email":"","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Wenzhou Medical University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tao-Hsin","middleName":"","lastName":"Tung","suffix":""},{"id":132572009,"identity":"e3214e47-2a16-4be3-a2f5-48c0e3474b1d","order_by":6,"name":"Jian-Sheng Zhu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxklEQVRIiWNgGAWjYDACCQYGA4YKKIeHeC1nSNXCwNhGihb52T0GhT/n2eTJt3cnPnjDYCen20BAC+OcMwbGvNvSihl7zm42nMOQbGx2gIAWZokcA2PGbYcTmyVyt0nzMBxI3EZICxtQi+HPOf8T2+Tfbv9NlBYeoBYD3oYDiT0SvNuYidIiIZFWYMxzLDlxBk/uZsk5BkT4RX5G8jbDHzV2ifPbz2788KbCTo6gFpB3DBBsA9zKkAHzA+LUjYJRMApGwYgFALkQPVO9wlx2AAAAAElFTkSuQmCC","orcid":"","institution":"Taizhou Hospital of Zhejiang Province, Zhejiang University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Jian-Sheng","middleName":"","lastName":"Zhu","suffix":""}],"badges":[],"createdAt":"2022-07-05 01:59:18","currentVersionCode":2,"declarations":"","doi":"10.21203/rs.3.rs-1825407/v2","doiUrl":"https://doi.org/10.21203/rs.3.rs-1825407/v2","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":28219102,"identity":"5f03c446-41ca-4429-99c4-25dabd643b1b","added_by":"auto","created_at":"2022-10-25 09:29:30","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":337282,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1825407/v2/b49c446f-bffe-4761-935d-40a8a21b5a8d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"COVID-19 booster vaccine willingness among patients with chronic kidney disease in Taizhou, China","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe coronavirus disease 2019 (COVID-19) pandemic has been going on for nearly two years and has caused a persistent global pandemic, which affects physiological, and social activities of almost every individual\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. The pandemic continues although the vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been available for one year\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. There have been outbreaks over the world, and the several re-outbreaks occurred in China\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e.More than 5\u0026nbsp;million people died from COVID-19. COVID-19 vaccination is still considered as the most important measure against COVID-19 infection\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eChronic kidney disease (CKD) patients are highly risky for COVID-19. In other words, CKD is an independent risk factor for severe COVID-19 infection and death\u003csup\u003e\u003cspan additionalcitationids=\"CR7\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. The antibody titer generated after the first and second rounds is usually lower in CKD patients than in healthy people due to immune dysfunction and defects\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e. COVID-19 booster doses can help enhance the immunity against COVID-19 in CKD patients, which are more necessary for Delta variant\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eSo far, there are only few studies on COVID-19 booster vaccine willingness in CKD patients. We performed a survey on COVID-19 booster vaccine willingness in CKD patients, and its related factors were investigated. Our findings may shed new light on how to increase the COVID-19 booster vaccination rate in CKID patients and enhance immune protection for this population.\u003c/p\u003e "},{"header":"Methods","content":"\u003cp\u003e1. Study design and subjects\u003c/p\u003e \u003cp\u003eUsing a cross-sectional design, this study was carried out in Zhejiang Province from July to August 2021. Patients diagnosed with various stages of chronic kidney disease (including those receiving hemodialysis and peritoneal dialysis) were invited to participate in a questionnaire in outpatient department, wards or dialysis rooms.The online questionnaire form was designed and distributed via Sojump (Changsha Lanxing Information\u0026amp;Technology, Co., LTD., Hunan Province, China). The quick response (QR) code was generated accordingly. Therefore, the respondents could fill in the questionnaire simply by scanning the QR code.\u003c/p\u003e \u003cp\u003e The present study followed the principles in the Declaration of Helsinki. The protocol was approved by the Ethics Committee of Zhejiang Taizhou Hospital (approval No.: K20210520). All procedures were carried out according to the guiding principles of the institutional ethics committee. All participants were voluntary to engage in the survey, who were also anonymous.\u003c/p\u003e \u003cp\u003e2. Structured questionnaire\u003c/p\u003e \u003cp\u003eThe participants were invited to fill in the questionnaire, and the following information was collected: (1) demographics, such as age, gender, residence, educational background, and occupation; (2) COVID-19 booster vaccine willingness. The respondents were asked the following question: \u0026ldquo;Are you willing to receive a COVID-19 booster vaccine dose?\u0026rdquo; (Four options: Very willing to, moderately willing to, unwilling to, very unwilling to); (3) perception of COVID-19 vaccine, which included the following questions: \u0026ldquo;What do you think about safety of COVID-19 vaccine so far (five options: very safe, safe, moderate, unsafe, very unsafe), \u0026ldquo;What do you think about effectiveness of COVID-19 vaccine\u0026rdquo; (four options: very effective, effective, barely effective, not effective at all); \u0026ldquo;What do you think about the risk of COVID-19 infection ?\u0026rdquo; (five options: very high, high, moderately low, very low); \u0026ldquo;Have you followed the news about COVID-19 vaccine?\u0026rdquo;(two options: yes or no); (4) medical history and underlying diseases: \u0026ldquo;Do you have underlying chronic diseases?\u0026rdquo; (two options: yes or no), \u0026ldquo;Which treatment you are currently receiving?\u0026rdquo; (four options: peritoneal dialysis, hemodialysis, medication treatment, no treatment), \u0026ldquo;Is the disease properly controlled (two options: yes or no)\u0026rdquo;; (5) receiving any round of COVID-19 vaccine or not: The following question was asked: \u0026ldquo;Have you received the first and second rounds of COVID-19 vaccine?\u0026rdquo; (three options: Not receiving any shot, yes (having received the first round), yes (having received the second round)\u0026rdquo;. Nearly all problems were closed-ended, and the respondents were provided with multiple answer options.\u003c/p\u003e \u003cp\u003e3. Statistical analysis\u003c/p\u003e \u003cp\u003eDescriptive statistical analysis of the demographics, COVID-19 booster vaccine willingness and perception of COVID-19 vaccine among CKD patients were performed using frequencies, frequency distribution, and mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. The differences in demographics, cognition and disease situation between patients willing to receive COVID-19 booster vaccine doses and those unwilling to were analyzed by the chi-square test and independent-samples t-test. Binary logistic regression analysis was used to identify the related factors of COVID-19 booster vaccine willingness. The odds ratio (OR) and 95% confidence interval (CI) were calculated. The significant variables identified by the univariate analysis (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) were further included as independent variables in the regression model.\u003c/p\u003e \u003cp\u003eAll data were analyzed using IBM\u0026reg; SPSS\u0026reg; Statistics V26.0 (SPSS Inc., Chicago, IL, USA). P\u0026thinsp;\u0026lt;\u0026thinsp;0.05 indicated significant difference.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eA total of 512 questionnaires were received in this survey, of which 350 were valid, and the response rate was 68%. Due to the few samples to some questions, we combined the corresponding questions. A total of 350 valid copies were retrieved, among which 246 patients (70.29%) were willing to receive COVID-19 booster vaccine doses. The related factors of COVID-19 booster vaccine willingness were further analyzed. It was found that the average age of patients willing to receive COVID-19 booster vaccine doses was 50.81\u0026thinsp;\u0026plusmn;\u0026thinsp;14.01 years, which was significantly younger compared to 55.26\u0026thinsp;\u0026plusmn;\u0026thinsp;13.01 years of those who were unwilling to (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). There was also difference in COVID-19 booster vaccine willingness between patients with different educational backgrounds (P\u0026thinsp;=\u0026thinsp;0.019). Compared with patients of junior middle school and below education (155, 66.24%), those of senior high school and above education were more willing to receive COVID-19 booster vaccine doses (91, 78.45%). Among patients receiving non-hemodialysis treatment, 171 patients (78.08%) were willing to receive COVID-19 booster vaccine doses. In contrast, among the patients receiving hemodialysis, only 75 patients (57.25%) were willing to receive COVID-19 booster vaccine doses, with significant difference (P\u0026thinsp;\u0026lt;\u0026thinsp;0.001). A total of 93 patients had received the first or both the first and second rounds of COVID-19 vaccine, among which 85 patients (91.40%) were willing to receive COVID-19 booster vaccine doses. Among the patients who had not received any round, 62.65% (161/257) of them were willing to receive COVID-19 booster vaccine doses. There was significant difference in COVID-19 booster vaccine willingness between patients who had already received COVID-19 vaccine and those who had not received any round at all (P\u0026thinsp;\u0026lt;\u0026thinsp;0.001). There were also significant differences in the perceived safety and effectiveness of COVID-19 vaccine and whether the patients continuously followed the news on COVID-19 vaccine between patients willing to receive COVID-19 booster vaccine doses and those unwilling to. However, the patients\u0026rsquo; COVID-19 booster vaccine willingness was not significantly correlated with gender, residence, whether the disease was properly controlled, and whether there were comorbidities or not (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/jpeg;base64,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\"\u003e\u003c/p\u003e\n\u003cp\u003eFor further analysis, the willingness to receive COVID-19 booster vaccine doses was selected as a dependent variable, and the potential related factors, including age, educational background, treatment modality, having received the first and second rounds of COVID-19 vaccine or not, perceived safety and effectiveness of COVID-19 vaccine, and whether the patients continuously followed the news on COVID-19 vaccine were set as independent variables. These variables were introduced into the binary logistic regression model. The results showed that among the CKD patients, perceived safety and effectiveness of COVID-19 vaccine, having already received any round of COVID-19 vaccine or not, and treatment modality were significantly correlated with COVID-19 booster vaccine willingness. Higher perceived safety of the vaccine (OR 3.327, 95% CI 1.868\u0026ndash;5.927), higher perceived effectiveness of the vaccine (OR 3.685, 95% CI 2.059\u0026ndash;6.597), having received the first or both the first and second rounds of COVID-19 vaccine (OR 3.891, 95% CI 1.659\u0026ndash;9.556), and receiving non-hemodialysis treatment (OR 1.986, 95% CI 1.093\u0026ndash;3.608) were favorable factors of COVID-19 booster vaccine willingness for the patients (Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e).\u0026nbsp;\u003c/p\u003e\u0026nbsp;\u003ctable border=\"1\" id=\"Tab2\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eRelated factors of COVID-19 booster vaccine willingness in CKD patients\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eSignificance\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eExp(B)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e95% confidence interval of Exp(B)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eLower limit\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eUpper limit\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"6\"\u003e\n \u003cp\u003eContinuously following the news on COVID-19 vaccine\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes vs. No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.184\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.523\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.818\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.835\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.923\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.978\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.020\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"6\"\u003e\n \u003cp\u003eHaving received or not received COVID-19 vaccine\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes vs. No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.897\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.643\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.241\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"6\"\u003e\n \u003cp\u003eVaccines are effective\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes vs. No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.085\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.690\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"6\"\u003e\n \u003cp\u003eThe vaccines are safety\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes vs. No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.283\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.764\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.111\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"6\"\u003e\n \u003cp\u003eSenior high school and above\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNO vs.Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.108\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.598\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.120\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"6\"\u003e\n \u003cp\u003eHemodialysis treatment\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNO vs.Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.942\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.085\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.476\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Discussion","content":"\u003cp\u003eCOVID-19 booster vaccine doses are essential to improve immunity against COVID-19 infection. It has been shown that the effective rate of COVID-19 vaccine against SARS-CoV-2 infection is 96% at four weeks after receiving a second shot, but decreases to 84% at six months after the vaccination \u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e. COVID-19 booster vaccine doses can increase the antibody titer and have specificity to the Delta variant as well\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. The immunity is significantly improved after the booster dose of the BNT162b2 messenger RNA vaccine in 7 to 9 months after the first and second rounds of COVID-19 vaccine\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. Kamar et al. found that SARS-CoV-2 antibodies were detected in only 40% of the solid organ transplantation patients four weeks after the second round of COVID-19 vaccine. This percentage was increased to 68% after the third round of the vaccine\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eWe conducted a survey on COVID-19 booster vaccine willingness in CKD patients, and the results showed that up to 70.29% of the CKD patients were willing to receive COVID-19 booster vaccine doses. But according to other studies, 85.3% of the patients with chronic diseases received COVID-19 booster vaccine doses in Taizhou, China\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e. The booster vaccination rate reported in the present study was a bit lower. It was previously reported that 84.5% of Japanese medical students were willing to receive COVID-19 booster vaccine doses\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e. A survey among medical staffs in the US suggested that 63.6% of the respondents were willing to receive COVID-19 booster vaccine doses\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eWe also identified the related factors of COVID-19 booster vaccine willingness among CKD patients, namely, perceived safety and effectiveness of COVID-19 vaccine, having already received one or two rounds of COVID-19 vaccine, and the treatment modality. The patients\u0026rsquo; perceived safety and effectiveness of COVID-19 vaccine were related to COVID-19 booster vaccine willingness. Another study indicated that compared with the willing patients, those who were unwilling to receive COVID-19 vaccine tended to have more negative views about safety and effectiveness of COVID-19 vaccine. They were more worried about the vaccination\u003csup\u003e\u003cspan additionalcitationids=\"CR21\" citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e. Therefore, enhancing perceived safety and effectiveness of COVID-19 vaccine is a prerequisite to increasing the COVID-19 vaccination rate.\u003c/p\u003e \u003cp\u003eIn our survey, only 93 out of 350 CKD patients (26.57%) had already received the first or both the first and second rounds of COVID-19 vaccine. This percentage was far lower than the local level in the same period (for more information, please check the statistics on COVID-19 vaccination in Taizhou or the whole China). In fact, the vaccination rate for other viruses and diseases is also lower in CKD patients than in the general population, including influenza, hepatitis A and B viruses, and Streptococcus pneumoniae\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e. It is noteworthy that 91.40% (85/93) of the CKD patients who had already received the first or both the first and second rounds of COVID-19 vaccine were willing to receive the booster doses. Meanwhile, 62.65% of the patients who had not received any round of COVID-19 vaccine were also willing to receive the booster doses. The above results indicated that enhancing the propaganda, raising perceived safety and effectiveness of COVID-19 vaccine, and eliminating the worries about COVID-19 vaccine will promote vaccination.\u003c/p\u003e \u003cp\u003eIt is even more necessary for hemodialysis patients to receive COVID19 booster vaccine doses\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e. But our survey reported the opposite results: the hemodialysis patients were less willing to receive COVID-19 booster vaccine doses. More specifically, the hemodialysis patients (56.98\u0026thinsp;\u0026plusmn;\u0026thinsp;12.80) were older than non-hemodialysis patients (49.23\u0026thinsp;\u0026plusmn;\u0026thinsp;13.67) in our survey. This result might be attributed to the lower perception of COVID-19 vaccine and poor awareness about vaccination.\u003c/p\u003e \u003cp\u003eThe present study also has some limitations. First of all, the respondents were inquired about their willingness to receive COVID-19 booster vaccine doses. However, willingness or unwillingness is not the same with actual behaviors. Secondly, only CKD patients at a specific hospital were surveyed. The findings in these patients cannot represent all CKD patients. Thirdly, the questionnaire survey was conducted via an online platform which is less accessible to the elderly and the less educated patients, and biases were inevitable.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIt was found that 70.29% of the respondents with CKD surveyed were willing to receive COVID-19 booster vaccine doses. Higher perceived safety and effectiveness of the vaccine, receiving non-hemodialysis treatment, and having already received one or two rounds of COVID-19 vaccine were related to COVID-19 booster vaccine willingness. Enhancing propaganda on safety and efficacy of COVID-19 vaccine for CKD patients, raising their awareness about the vaccine, and increasing vaccination of the first and second rounds can help increase the booster vaccination rate.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthic declarations\u003c/p\u003e\n\u003cp\u003eThe present study followed the principles in the Declaration of Helsinki. The protocol was approved by the Ethics Committee of Zhejiang Taizhou Hospital (approval No.: K20210520). All procedures were carried out according to the guiding principles of the institutional ethics committee. All participants were voluntary to engage in the survey, who were also anonymous.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAvailability of data\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe analyzed data sets generated during the present study are available from the corresponding author on reasonable request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eConsent for publication\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003eAuthor contributions\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll authors edited and approved the final manuscript. J.S. Z. and T.H.T. conceived the study, J.S. Z. and T.H.T. designed the questionnaire. J.S. Z. collected the data. H.D.C. and G.B.X. was responsible for coding the analyses. H.D.C. analysed and interpreted the data and wrote the first draft of the paper. Y.C., X.Q.L and L.L searched, sorted, and interpreted the relevant literature.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCompeting interest\u003c/p\u003e\n\u003cp\u003eNo potential conflicts of interest were disclosed.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We thank clinics and all health workers across Niger involved in the response against COVID-19 pandemics.\u003c/p\u003e\n\u003cp\u003eAcknowledgements\u003c/p\u003e\n\u003cp\u003eWe thank all patients across Taizhou hospital of Zhejiang province involved in the response against the questionnaires.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAuthor information\u003c/p\u003e\n\u003cp\u003eH.D.C and G.B.X are Joint first authors, contributed equally to this article and share first authorship.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eCucinotta, D, Vanelli, M. WHO Declares COVID-19 a Pandemic. Acta bio-medica: Atenei Parmensis 2020;91(1):157\u0026ndash;160.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.23750/abm.v91i1.9397\u003c/span\u003e\u003cspan address=\"10.23750/abm.v91i1.9397\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMurayama, H, Okubo, R, Tabuchi, T. Increase in Social Isolation during the COVID-19 Pandemic and Its Association with Mental Health: Findings from the JACSIS 2020 Study. International journal of environmental research and public health 2021;18(16).\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3390/ijerph18168238\u003c/span\u003e\u003cspan address=\"10.3390/ijerph18168238\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTsang, HF, Chan, LWC, Cho, WCS, et al. An update on COVID-19 pandemic: the epidemiology, pathogenesis, prevention and treatment strategies. Expert review of anti-infective therapy 2021;19(7):877\u0026ndash;888.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1080/14787210.2021.1863146\u003c/span\u003e\u003cspan address=\"10.1080/14787210.2021.1863146\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKeni, R, Alexander, A, Nayak, PG, et al. COVID-19: Emergence, Spread, Possible Treatments, and Global Burden. Frontiers in public health 2020;8:216.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3389/fpubh.2020.00216\u003c/span\u003e\u003cspan address=\"10.3389/fpubh.2020.00216\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSalian, VS, Wright, JA, Vedell, PT, et al. COVID-19 Transmission, Current Treatment, and Future Therapeutic Strategies. Molecular pharmaceutics 2021;18(3):754\u0026ndash;771.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1021/acs.molpharmaceut.0c00608\u003c/span\u003e\u003cspan address=\"10.1021/acs.molpharmaceut.0c00608\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWilliamson, EJ, Walker, AJ, Bhaskaran, K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 2020;584(7821):430\u0026ndash;436.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1038/s41586-020-2521-4\u003c/span\u003e\u003cspan address=\"10.1038/s41586-020-2521-4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePakhchanian, H, Raiker, R, Mukherjee, A, et al. Outcomes of COVID-19 in CKD Patients: A Multicenter Electronic Medical Record Cohort Study. Clinical journal of the American Society of Nephrology: CJASN 2021;16(5):785\u0026ndash;786.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.2215/cjn.13820820\u003c/span\u003e\u003cspan address=\"10.2215/cjn.13820820\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMohamed, NE, Benn, EKT, Astha, V, et al. Association between chronic kidney disease and COVID-19-related mortality in New York. World journal of urology 2021;39(8):2987\u0026ndash;2993.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1007/s00345-020-03567-4\u003c/span\u003e\u003cspan address=\"10.1007/s00345-020-03567-4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMarlet, J, Gatault, P, Maakaroun, Z, et al. Antibody Responses after a Third Dose of COVID-19 Vaccine in Kidney Transplant Recipients and Patients Treated for Chronic Lymphocytic Leukemia. Vaccines 2021;9(10).\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3390/vaccines9101055\u003c/span\u003e\u003cspan address=\"10.3390/vaccines9101055\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIkizler, TA, Coates, PT, Rovin, BH, et al. Immune response to SARS-CoV-2 infection and vaccination in patients receiving kidney replacement therapy. Kidney Int 2021;99(6):1275\u0026ndash;1279.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1016/j.kint.2021.04.007\u003c/span\u003e\u003cspan address=\"10.1016/j.kint.2021.04.007\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHarvey, WT, Carabelli, AM, Jackson, B, et al. SARS-CoV-2 variants, spike mutations and immune escape. Nature reviews Microbiology 2021;19(7):409\u0026ndash;424.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1038/s41579-021-00573-0\u003c/span\u003e\u003cspan address=\"10.1038/s41579-021-00573-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eThomas, SJ, Moreira, ED, Kitchin, N, et al. Six Month Safety and Efficacy of the BNT162b2 mRNA COVID-19 Vaccine. 2021:2021.2007.2028.21261159.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1101/2021.07.28.21261159%J medRxiv\u003c/span\u003e\u003cspan address=\"10.1101/2021.07.28.21261159%J medRxiv\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShekhar, R, Garg, I, Pal, S, et al. COVID-19 Vaccine Booster: To Boost or Not to Boost. Infectious disease reports 2021;13(4):924\u0026ndash;929.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3390/idr13040084\u003c/span\u003e\u003cspan address=\"10.3390/idr13040084\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFalsey, AR, Frenck, RW, Jr., Walsh, EE, et al. SARS-CoV-2 Neutralization with BNT162b2 Vaccine Dose 3. The New England journal of medicine 2021;385(17):1627\u0026ndash;1629.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1056/NEJMc2113468\u003c/span\u003e\u003cspan address=\"10.1056/NEJMc2113468\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHall, VG, Ferreira, VH, Ku, T, et al. Randomized Trial of a Third Dose of mRNA-1273 Vaccine in Transplant Recipients. The New England journal of medicine 2021;385(13):1244\u0026ndash;1246.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1056/NEJMc2111462\u003c/span\u003e\u003cspan address=\"10.1056/NEJMc2111462\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKamar, N, Abravanel, F, Marion, O, et al. Three Doses of an mRNA Covid-19 Vaccine in Solid-Organ Transplant Recipients. The New England journal of medicine 2021;385(7):661\u0026ndash;662.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1056/NEJMc2108861\u003c/span\u003e\u003cspan address=\"10.1056/NEJMc2108861\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTung, TH, Lin, XQ, Chen, Y, et al. Willingness to receive a booster dose of inactivated coronavirus disease 2019 vaccine in Taizhou, China. Expert review of vaccines 2021.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1080/14760584.2022.2016401\u003c/span\u003e\u003cspan address=\"10.1080/14760584.2022.2016401\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSugawara, N, Yasui-Furukori, N, Fukushima, A, et al. Attitudes of Medical Students toward COVID-19 Vaccination: Who Is Willing to Receive a Third Dose of the Vaccine? Vaccines 2021;9(11).\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3390/vaccines9111295\u003c/span\u003e\u003cspan address=\"10.3390/vaccines9111295\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePal, S, Shekhar, R, Kottewar, S, et al. COVID-19 Vaccine Hesitancy and Attitude toward Booster Doses among US Healthcare Workers. Vaccines 2021;9(11).\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3390/vaccines9111358\u003c/span\u003e\u003cspan address=\"10.3390/vaccines9111358\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLucia, VC, Kelekar, A, Afonso, NM. COVID-19 vaccine hesitancy among medical students. Journal of public health (Oxford, England) 2021;43(3):445\u0026ndash;449.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1093/pubmed/fdaa230\u003c/span\u003e\u003cspan address=\"10.1093/pubmed/fdaa230\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLuk, TT, Zhao, S, Wu, Y, et al. Prevalence and determinants of SARS-CoV-2 vaccine hesitancy in Hong Kong: A population-based survey. Vaccine 2021;39(27):3602\u0026ndash;3607.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1016/j.vaccine.2021.05.036\u003c/span\u003e\u003cspan address=\"10.1016/j.vaccine.2021.05.036\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOkubo, R, Yoshioka, T, Ohfuji, S, et al. COVID-19 Vaccine Hesitancy and Its Associated Factors in Japan. Vaccines 2021;9(6).\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.3390/vaccines9060662\u003c/span\u003e\u003cspan address=\"10.3390/vaccines9060662\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAnnunziata, K, Rak, A, Del Buono, H, et al. Vaccination rates among the general adult population and high-risk groups in the United States. PloS one 2012;7(11):e50553.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.1371/journal.pone.0050553\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0050553\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGarcia-Botella, A, Garcia-Lledo, A, Gomez-Pavon, J, et al. Booster or additional vaccination doses in patients vaccinated against COVID-19. Rev Esp Quimioter 2021.\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://dx.doi.org/10.37201/req/149.2021\u003c/span\u003e\u003cspan address=\"10.37201/req/149.2021\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\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":"Chronic kidney disease, COVID-19 vaccine, booster vaccine dose, vaccine hesitancy","lastPublishedDoi":"10.21203/rs.3.rs-1825407/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1825407/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eInvestgate the willingness of CKD patients to receive a COVID-19 booster vaccine dose and analyze the related factors of COVID-19 booster vaccine willingness in such patients.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eAn online questionnaire investigation addressing participants\u0026rsquo; willingness to receive a booster dose of COVID-19 vaccine was organized among patients with chronic kidney disease in Taizhou, China.\u003c/p\u003e\u003ch2\u003eResult\u003c/h2\u003e \u003cp\u003eA total of 350 valid copies were retrieved, among which 246 respondents (70.29%) were willing to receive a COVID-19 booster vaccine dose. Binary logistic regression analysis showed that high perceived vaccine safety and effectiveness, non-hemodialysis treatment, and one or two rounds of COVID-19 vaccine were related to COVID-19 booster vaccine willingness of CKD patients. Therefore, enhancing propaganda on safety and efficacy of COVID-19 vaccine for CKD patients, raising their awareness about vaccination, and increasing vaccination of the first and second rounds can help increase the COVID-19 booster vaccination rate.\u003c/p\u003e","manuscriptTitle":"COVID-19 booster vaccine willingness among patients with chronic kidney disease in Taizhou, China","msid":"","msnumber":"","nonDraftVersions":[{"code":2,"date":"2022-08-30 15:32:46","doi":"10.21203/rs.3.rs-1825407/v2","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}},{"code":1,"date":"2022-07-15 17:19:25","doi":"10.21203/rs.3.rs-1825407/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":"57f03efc-0568-4d86-92f7-3bc64920333a","owner":[],"postedDate":"August 30th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2022-10-25T09:29:13+00:00","versionOfRecord":[],"versionCreatedAt":"2022-08-30 15:32:46","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v2","identity":"rs-1825407","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1825407","identity":"rs-1825407","version":["v2"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}