Back

Characteristics and influence of type 2 diabetes in cirrhosis ascites with spontaneous bacterial peritonitis

Zhang, L.; Li, X.; Qi, Y.; Zhao, Y.; Wang, F.; Ma, H.; Qin, X.; Kong, X.; Qi, Z.; Zhang, X.

2020-09-28 endocrinology
10.1101/2020.09.25.20201798 medRxiv
Show abstract

ObjectiveTo investigate the characteristics and influence of type 2 diabetes in hepatocirrhosis ascites complicated with spontaneous bacterial peritonitis(SBP) to support clinical management of this condition. MethodsA retrospective study was conducted to collect patients with hepatocirrhosis ascites with hospitalization from January 1, 2016 to June 30, 2019. The patients were classified according to whether they had type 2 diabetes and SBP. Univariate and multivariate binary logistic regression analysis were performed on the data of the two groups. ResultsA total of 214 patients were enrolled in the study, including 121 males and 93 females; 21 diabetics and 193 non diabetics; 119 SBP patients and 95 control subjects. There were 18 cases of SBP in hepatocirrhosis ascites complicated with diabetes, accounting for 85.7%, which was significantly higher than that in the non-diabetic group. The times of ascites, age and hospitalization days of cirrhotic ascites complicated with diabetes were 2 (1-3) times, 74 (60-76) years old and 25 (15-36) days, respectively, which were significantly higher than those in the non-diabetic group, P < 0.05. Multivariate analysis showed that diabetes, the times of hepatocirrhosis ascites, hospitalization days and total bilirubin (TBIL) increased the independent risk factors of SBP in hepatocirrhosis ascites, with OR values of 5.126 (1.358-19.345), 1.949 (1.428-2.660), 1.028 (1.010-1.047), 1.006 (1.001-1.010), respectively (P < 0.05). Conclusionthe patients with hepatocirrhosis ascites complicated with diabetes showed older age, longer hospitalization time, more SBP and more ascites; diabetes mellitus, times of ascites, hospitalization days and TBIL increased the risk of SBP in hepatocirrhosis ascites.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.