Jianfei Pan1, Quanwei Zhu1, Xiao Wu1,2, Xiaoqian Zhang3, Jun Xu1, Linlin Pan1, Xiang Mao4. 1. Department of Emergency, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China. 2. Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China. 3. Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China. 4. Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
Abstract
PURPOSE: To explore the distribution of pathogenic bacteria in patients with intra-abdominal infection, to clarify the independent factors that affect the prognosis of patients with intra-abdominal infection and its evaluation value for prognosis. PATIENTS AND METHODS: The pathogens, underlying diseases, and related clinical data of patients with intra-abdominal infection from January 2012 to December 2019 in our hospital were retrospectively collected and the APACHE II score was calculated. The patients were divided into survival group and death group according to the prognosis, and the index between the two groups was compared. Spearman correlation analysis was used to evaluate the correlation between each index and prognosis, multivariate logistic regression analysis was used to screen the independent prognostic factors. RESULTS: Spearman correlation analysis showed that ALB level was negatively correlated with prognosis, age and APACHE II score were positively correlated with prognosis. Logistic regression analysis showed that age, ALB level, and APACHE II score were independent prognostic factors. The formula of age combined ALB level and APACHE II score was Y = X1-3.6X2 + 6.5X3 (X1 was the age, X2 was the ALB level and X3 was the APACHE II score), Y was positively correlated with poor prognosis, and the optimal cutoff value was Y = 40.96. CONCLUSION: Age, ALB level, and APACHE II score are independent factors that influencing the prognosis of patients with intra-abdominal infection, and the combination of age, ALB level, and APACHE II score can better assess the prognosis of patients with intra-abdominal infection.
PURPOSE: To explore the distribution of pathogenic bacteria in patients with intra-abdominal infection, to clarify the independent factors that affect the prognosis of patients with intra-abdominal infection and its evaluation value for prognosis. PATIENTS AND METHODS: The pathogens, underlying diseases, and related clinical data of patients with intra-abdominal infection from January 2012 to December 2019 in our hospital were retrospectively collected and the APACHE II score was calculated. The patients were divided into survival group and death group according to the prognosis, and the index between the two groups was compared. Spearman correlation analysis was used to evaluate the correlation between each index and prognosis, multivariate logistic regression analysis was used to screen the independent prognostic factors. RESULTS: Spearman correlation analysis showed that ALB level was negatively correlated with prognosis, age and APACHE II score were positively correlated with prognosis. Logistic regression analysis showed that age, ALB level, and APACHE II score were independent prognostic factors. The formula of age combined ALB level and APACHE II score was Y = X1-3.6X2 + 6.5X3 (X1 was the age, X2 was the ALB level and X3 was the APACHE II score), Y was positively correlated with poor prognosis, and the optimal cutoff value was Y = 40.96. CONCLUSION: Age, ALB level, and APACHE II score are independent factors that influencing the prognosis of patients with intra-abdominal infection, and the combination of age, ALB level, and APACHE II score can better assess the prognosis of patients with intra-abdominal infection.
Authors: Silvia Würstle; Alexander Hapfelmeier; Caroline Wöhrle; Karl Dichtl; Tobias Lahmer; Sebastian Rasch; Wolfgang Huber; Andreas Weber; Hana Algül; Christoph Spinner; Matthias Pichler; Roland M Schmid; Julia Mayerle; Jochen Schneider Journal: J Gastroenterol Hepatol Date: 2019-07-23 Impact factor: 4.029