{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T10:37:27Z","timestamp":1792406247356,"version":"4.4.0"},"reference-count":31,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T00:00:00Z","timestamp":1628208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      The objective of this study was to explore the risk factors of ovarian hyperstimulation syndrome (OHSS) in patients with polycystic ovary syndrome (PCOS) undergoing\n                      <jats:italic>in vitro<\/jats:italic>\n                      fertilization\/intracytoplasmic sperm injection (IVF\/ICSI) and to establish a nomogram model evaluate the probability of OHSS in PCOS patients.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We retrospectively analyzed clinical data from 4,351 patients with PCOS receiving IVF\/ICSI in our reproductive medical center. The clinical cases were randomly divided into a modeling group (3,231 cases) and a verification group (1,120 cases) according to a ratio of about 3:1. The independent risk factors correlation with the occurrence of OHSS was identified by logistic regression analysis. Based on the selected independent risk factors and correlated regression coefficients, we established a nomogram model to predict the probability of OHSS in PCOS patients, and the predictive accuracy of the model was measured using the area under the receiver operating curve (AUC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Univariate and multivariate logistic regression analyses showed that FSH (OR, 0.901; 95% CI, 0.847\u20130.958; P&amp;lt;0.001), AMH (OR, 1.259; 95% CI, 1.206\u20131.315; P&amp;lt;0.001), E2 value on the day of hCG injection (OR, 1.122; 95% CI, 1.021\u20131.253; P&amp;lt;0.001), total dosage of Gn used (OR, 1.010; 95% CI, 1.002\u20131.016; P=0.041), and follicle number on the day of hCG injection (OR, 0.134; 95% CI, 1.020\u20131.261; P=0.020) are the independent risk factors for OHSS in PCOS patients. The AUC of the modeling group is 0.827 (95% CI, 0.795\u20130.859), and the AUC of the verification group is 0.757 (95% CI, 0.733\u20130.782).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The newly established nomogram model has proven to be a novel tool that can effectively, easily, and intuitively predict the probability of OHSS in the patients with PCOS, by which the clinician can set up a better clinical management strategies for conducting a precise personal therapy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2021.619059","type":"journal-article","created":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T03:17:33Z","timestamp":1628219853000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Nomogram Model to Predict the Probability of Ovarian Hyperstimulation Syndrome in the 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