The Journal of international medical research · 2020
Constructing a risk prediction model for anastomotic leakage after esophageal cancer resection.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sun Zhong-Wen, Du Hui, Li Jia-Rui, Qin Hui-Ying
Аннотация
OBJECTIVE: The purpose of this study was to investigate a newly constructed risk prediction model for anastomotic leakage after esophageal cancer resection.
METHODS: A retrospective survey of 205 patients who underwent esophageal cancer resection was conducted using a self-designed questionnaire. The influencing factors were explored by single factor analysis, and a logistic regression analysis was performed to construct the prediction equation. A receiver operating characteristic curve was used to evaluate the model.
RESULTS: The incidence of anastomotic leakage after esophageal cancer resection was 11.73%. There were five independent risk factors entered into the regression equation. The risk prediction equation was Z = 0.108 × age + 2.011 × preoperative chemotherapy history + 3.007 ×incision redness/exudation + 2.632 × pleural effusion + 1.934 × increased white blood cell count − 12.304. According to the receiver operating characteristic curve test, the area under the curve was 0.946, the sensitivity was 0.833, the specificity was 0.912, and the Youden index was 0.745.
CONCLUSION: The risk model of anastomotic leakage after esophageal cancer resection had a good predictive effect that was of significance for guiding clinical observation and early-screening.
METHODS: A retrospective survey of 205 patients who underwent esophageal cancer resection was conducted using a self-designed questionnaire. The influencing factors were explored by single factor analysis, and a logistic regression analysis was performed to construct the prediction equation. A receiver operating characteristic curve was used to evaluate the model.
RESULTS: The incidence of anastomotic leakage after esophageal cancer resection was 11.73%. There were five independent risk factors entered into the regression equation. The risk prediction equation was Z = 0.108 × age + 2.011 × preoperative chemotherapy history + 3.007 ×incision redness/exudation + 2.632 × pleural effusion + 1.934 × increased white blood cell count − 12.304. According to the receiver operating characteristic curve test, the area under the curve was 0.946, the sensitivity was 0.833, the specificity was 0.912, and the Youden index was 0.745.
CONCLUSION: The risk model of anastomotic leakage after esophageal cancer resection had a good predictive effect that was of significance for guiding clinical observation and early-screening.