Rui Ding, Ming He, Hong Cen, Zheng Chen, Yonghui Su
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A risk assessment model for predicting the risk of AL was established on the basis of the regression coefficients of each identified independent risk factor.</p><p><strong>Results: </strong>Anastomotic leakage occurred in 20 patients (7.2%, 20/276). Multivariate analysis identified the following variables as independent risk or protective factors of AL: perioperative ileus ( P < 0.001, odds ratio [OR] = 14.699), tumor size ≥5 cm ( P = 0.025, OR = 3.925), distance between tumor and anal verge <7.5 cm ( P = 0.045, OR = 3.512), obesity ( P = 0.032, OR = 7.256), and diverting stoma ( P = 0.008, OR = 0.143). A risk assessment model was constructed and patients were allocated to high-, medium-, and low-risk groups on the basis of risk model scores of 5-7, 2-4, and 0-1, respectively. The incidences of AL in these three groups were 61.5%, 11.9%, and 2.0%, respectively ( P < 0.001).</p><p><strong>Conclusions: </strong>Our risk assessment model accurately and effectively identified patients at high risk of AL and could be useful in aiding decision-making aimed at minimizing adverse outcomes associated with leakage.</p>","PeriodicalId":13505,"journal":{"name":"Indian journal of cancer","volume":" ","pages":"244-252"},"PeriodicalIF":0.9000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical risk factors and Risk assessment model for Anastomotic leakage after Rectal cancer resection.\",\"authors\":\"Rui Ding, Ming He, Hong Cen, Zheng Chen, Yonghui Su\",\"doi\":\"10.4103/ijc.ijc_903_21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Anastomotic leakage (AL) is the most serious complication after rectal cancer surgery. Risk factors associated with AL have been documented in previous studies; however, the consensus is still lacking. In this retrospective study, we aimed to identify risk factors for AL after rectal cancer resection and to create an accurate and effective tool for predicting the risk of this complication.</p><p><strong>Methods: </strong>The study cohort comprised of 276 patients with rectal cancer who had undergone anterior resection between 2015 and 2020. Twenty-four selected variables were assessed by univariate and multivariate logistic regression analyses to identify independent risk factors of AL. A risk assessment model for predicting the risk of AL was established on the basis of the regression coefficients of each identified independent risk factor.</p><p><strong>Results: </strong>Anastomotic leakage occurred in 20 patients (7.2%, 20/276). Multivariate analysis identified the following variables as independent risk or protective factors of AL: perioperative ileus ( P < 0.001, odds ratio [OR] = 14.699), tumor size ≥5 cm ( P = 0.025, OR = 3.925), distance between tumor and anal verge <7.5 cm ( P = 0.045, OR = 3.512), obesity ( P = 0.032, OR = 7.256), and diverting stoma ( P = 0.008, OR = 0.143). A risk assessment model was constructed and patients were allocated to high-, medium-, and low-risk groups on the basis of risk model scores of 5-7, 2-4, and 0-1, respectively. The incidences of AL in these three groups were 61.5%, 11.9%, and 2.0%, respectively ( P < 0.001).</p><p><strong>Conclusions: </strong>Our risk assessment model accurately and effectively identified patients at high risk of AL and could be useful in aiding decision-making aimed at minimizing adverse outcomes associated with leakage.</p>\",\"PeriodicalId\":13505,\"journal\":{\"name\":\"Indian journal of cancer\",\"volume\":\" \",\"pages\":\"244-252\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian journal of cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4103/ijc.ijc_903_21\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/3/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian journal of cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/ijc.ijc_903_21","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/3/13 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:吻合口漏(AL)是直肠癌手术后最严重的并发症:吻合口漏(AL)是直肠癌手术后最严重的并发症。以往的研究已记录了与 AL 相关的风险因素,但仍缺乏共识。在这项回顾性研究中,我们旨在确定直肠癌切除术后发生 AL 的风险因素,并创建一个准确有效的工具来预测这种并发症的风险:研究队列由 2015 年至 2020 年间接受前切除术的 276 名直肠癌患者组成。通过单变量和多变量逻辑回归分析评估了24个选定变量,以确定AL的独立风险因素。根据各独立风险因素的回归系数,建立了预测AL风险的风险评估模型:结果:20 名患者(7.2%,20/276)出现吻合口漏。多变量分析确定以下变量为 AL 的独立风险或保护因素:围术期回肠梗阻(P < 0.001,比值比 [OR] = 14.699)、肿瘤大小≥5 厘米(P = 0.025,OR = 3.925)、肿瘤与肛缘之间的距离:我们的风险评估模型能准确有效地识别AL高风险患者,有助于辅助决策,最大限度地减少与漏尿相关的不良后果。
Clinical risk factors and Risk assessment model for Anastomotic leakage after Rectal cancer resection.
Background: Anastomotic leakage (AL) is the most serious complication after rectal cancer surgery. Risk factors associated with AL have been documented in previous studies; however, the consensus is still lacking. In this retrospective study, we aimed to identify risk factors for AL after rectal cancer resection and to create an accurate and effective tool for predicting the risk of this complication.
Methods: The study cohort comprised of 276 patients with rectal cancer who had undergone anterior resection between 2015 and 2020. Twenty-four selected variables were assessed by univariate and multivariate logistic regression analyses to identify independent risk factors of AL. A risk assessment model for predicting the risk of AL was established on the basis of the regression coefficients of each identified independent risk factor.
Results: Anastomotic leakage occurred in 20 patients (7.2%, 20/276). Multivariate analysis identified the following variables as independent risk or protective factors of AL: perioperative ileus ( P < 0.001, odds ratio [OR] = 14.699), tumor size ≥5 cm ( P = 0.025, OR = 3.925), distance between tumor and anal verge <7.5 cm ( P = 0.045, OR = 3.512), obesity ( P = 0.032, OR = 7.256), and diverting stoma ( P = 0.008, OR = 0.143). A risk assessment model was constructed and patients were allocated to high-, medium-, and low-risk groups on the basis of risk model scores of 5-7, 2-4, and 0-1, respectively. The incidences of AL in these three groups were 61.5%, 11.9%, and 2.0%, respectively ( P < 0.001).
Conclusions: Our risk assessment model accurately and effectively identified patients at high risk of AL and could be useful in aiding decision-making aimed at minimizing adverse outcomes associated with leakage.
期刊介绍:
Indian Journal of Cancer (ISSN 0019-509X), the show window of the progress of ontological sciences in India, was established in 1963. Indian Journal of Cancer is the first and only periodical serving the needs of all the specialties of oncology in India.