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This study found that neutrophil-to-lymphocyte, systemic immune-inflammation, and monocyte-to-lymphocyte ratios significantly correlate with endometriosis severity and demonstrate diagnostic performance for the condition, whereas their association with pelvic pain severity is limited.
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This cross-sectional study evaluated the diagnostic performance of hematological inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) in women with histopathologically confirmed endometriosis. The researchers analyzed preoperative blood counts alongside intraoperative rASRM staging and preoperative Numeric Rating Scale assessments for pelvic pain to determine correlations with disease severity. Results indicated that NLR, SII, and MLR significantly correlated with endometriosis severity and demonstrated good diagnostic performance, whereas PLR showed only borderline or non-significant associations. Although NLR and SII weakly correlated with pelvic pain severity, none of the biomarkers proved effective for diagnosing pain levels, limiting their utility as comprehensive indicators. This paper is centrally about endometriosis — specifically investigating the association between routine blood-based inflammatory markers and disease severity stages.
Abstract
Endometriosis is a chronic inflammatory disease frequently associated with pelvic pain and infertility. Since systemic inflammation may reflect disease activity, hematological inflammatory biomarkers obtained from routine blood tests have been proposed as non-invasive indicators of endometriosis severity. The aim of this study was to evaluate the association of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) with endometriosis severity and pelvic pain severity, as well as to assess their diagnostic performance. A cross-sectional study was conducted at Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia, among women with histopathologically confirmed endometriosis. Endometriosis severity was classified intraoperatively according to the revised American Society for Reproductive Medicine (rASRM) staging system. Pelvic pain severity was assessed preoperatively using the Numeric Rating Scale (NRS). Hematological inflammatory biomarkers were calculated from preoperative complete blood count results. The associations and diagnostic performance of the biomarkers in relation to endometriosis severity and pelvic pain severity were evaluated using correlation analysis and receiver operating characteristic (ROC) curve analysis. Our data indicated that NLR (r=0.460; p<0.001), SII (r=0.439; p=0.001), and MLR (r=0.391; p=0.003) had significant positive correlations with endometriosis severity, whereas PLR demonstrated a borderline correlation (r=0.261; p=0.050). ROC analysis showed good diagnostic performance for NLR (AUC=0.784; p=0.005), SII (AUC=0.777; p=0.006), and MLR (AUC=0.783; p=0.005), while PLR was not statistically significant (AUC=0.679; p=0.078). NLR (r=0.295; p=0.026) and SII (r=0.275; p=0.038) showed weak but significant positive correlations with pelvic pain severity, whereas PLR and MLR had no significant association. None of the biomarkers demonstrated significant diagnostic performance for pelvic pain severity. NLR, SII, and MLR may serve as accessible and inexpensive adjunctive indicators of endometriosis severity, particularly in resource-limited settings; however, their utility for assessing pelvic pain severity appears limited.
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Diagnostic performance of hematological inflammatory biomarkers for assessing endometriosis severity and pelvic pain severity
DOI:
https://doi.org/10.52225/narra.v6i3.3130Keywords:
Endometriosis, endometriosis severity, pelvic pain, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratioAbstract
Endometriosis is a chronic inflammatory disease frequently associated with pelvic pain and infertility. Since systemic inflammation may reflect disease activity, hematological inflammatory biomarkers obtained from routine blood tests have been proposed as non-invasive indicators of endometriosis severity. The aim of this study was to evaluate the association of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) with endometriosis severity and pelvic pain severity, as well as to assess their diagnostic performance. A cross-sectional study was conducted at Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia, among women with histopathologically confirmed endometriosis. Endometriosis severity was classified intraoperatively according to the revised American Society for Reproductive Medicine (rASRM) staging system. Pelvic pain severity was assessed preoperatively using the Numeric Rating Scale (NRS). Hematological inflammatory biomarkers were calculated from preoperative complete blood count results. The associations and diagnostic performance of the biomarkers in relation to endometriosis severity and pelvic pain severity were evaluated using correlation analysis and receiver operating characteristic (ROC) curve analysis. Our data indicated that NLR (r=0.460; p<0.001), SII (r=0.439; p=0.001), and MLR (r=0.391; p=0.003) had significant positive correlations with endometriosis severity, whereas PLR demonstrated a borderline correlation (r=0.261; p=0.050). ROC analysis showed good diagnostic performance for NLR (AUC=0.784; p=0.005), SII (AUC=0.777; p=0.006), and MLR (AUC=0.783; p=0.005), while PLR was not statistically significant (AUC=0.679; p=0.078). NLR (r=0.295; p=0.026) and SII (r=0.275; p=0.038) showed weak but significant positive correlations with pelvic pain severity, whereas PLR and MLR had no significant association. None of the biomarkers demonstrated significant diagnostic performance for pelvic pain severity. NLR, SII, and MLR may serve as accessible and inexpensive adjunctive indicators of endometriosis severity, particularly in resource-limited settings; however, their utility for assessing pelvic pain severity appears limited.
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Copyright (c) 2026 Mala Hayati, Rusnaidi Rusnaidi, Ima Indirayani, Hasanuddin Hasanuddin, Dewi K. Rusly, Muhammad Yani
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