{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T12:01:09Z","timestamp":1753876869502,"version":"3.41.2"},"reference-count":31,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T00:00:00Z","timestamp":1660176000000},"content-version":"vor","delay-in-days":222,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Fournier\u2019s gangrene (FG) is a rare life-threatening form of necrotizing fasciitis. The risk factors for septic shock in patients with FG are unclear. This study aimed to identify potential risk factors and develop a prediction model for septic shock in patients with FG.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>This retrospective cohort study included patients who were treated for FG between May 2013 and May 2020 at the Sixth Affiliated Hospital, Sun Yat-sen University (Guangzhou, China). The patients were divided into a septic shock group and a non-septic shock group. An L1-penalized logistic regression model was used to detect the main effect of important factors and a penalized Quadratic Discriminant Analysis method was used to identify possible interaction effects between different factors. The selected main factors and interactions were used to obtain a logistic regression model based on the Bayesian information criterion.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>A total of 113 patients with FG were enrolled and allocated to the septic shock group (n\u2009=\u200924) or non-septic shock group (n\u2009=\u200989). The best model selected identified by backward logistic regression based on Bayesian information criterion selected temperature, platelets, total bilirubin (TBIL) level, and pneumatosis on pelvic computed tomography\/magnetic resonance images as the main linear effect and Na+\u2009\u00d7\u2009TBIL as the interaction effect. The area under the ROC curve of the probability of FG with septic shock by our model was 0.84 (95% confidence interval, 0.78\u20130.95). The Harrell's concordance index for the nomogram was 0.864 (95% confidence interval, 0.78\u20130.95).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>We have developed a prediction model for evaluation of the risk of septic shock in patients with FG that could assist clinicians in identifying critically ill patients with FG and prevent them from reaching a crisis state.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/gastro\/goac038","type":"journal-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T14:19:18Z","timestamp":1660227558000},"source":"Crossref","is-referenced-by-count":4,"title":["How likely is septic shock to develop in a patient with Fournier's gangrene? A risk prediction model based on a 7-year retrospective study"],"prefix":"10.1093","volume":"10","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Critical Care Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University , Guangzhou, Guangdong, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li-Chun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University , Guangzhou, Guangdong, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin-Yang","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, The Hong Kong Polytechnic University , Hong Kong SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Fei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University , Guangzhou, Guangdong, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong-Qing","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, The Hong Kong Polytechnic University , Hong Kong SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang-Zi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, The Hong Kong Polytechnic University , Hong Kong SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin-Yan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, The Hong Kong Polytechnic University , Hong Kong SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University , Guangzhou, Guangdong, P. R. 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