Factors influencing the length of hospital stays of the AFLP patients and the establishment of prediction model
10.13303/j.cjbt.issn.1004-549x.2024.04.010
- VernacularTitle:妊娠期急性脂肪肝患者住院时间影响因素分析及预测模型建立
- Author:
Guihua DENG
1
;
Yachun SUN
1
;
Leiping WANG
1
;
Xinyan LONG
1
;
Shunling YUAN
1
;
Xiaopeng YUAN
2
;
Qingbao MENG
1
Author Information
1. Department of Blood Transfusion, ShenZhen People’s Hospital, Shenzhen 518020, China
2. Department of Laboratory Medicine, ShenZhen People’s Hospital, Shenzhen 518020, China
- Publication Type:Journal Article
- Keywords:
acute fatty liver of pregnancy(AFLP);
hospital stays;
influencing factor;
predictive model
- From:
Chinese Journal of Blood Transfusion
2024;37(4):431-438
- CountryChina
- Language:Chinese
-
Abstract:
【Objective】 To investigate the factors influencing the length of hospital stays of the acute fatty liver of pregnancy (AFLP) patients, so as to establish the prediction model. 【Methods】 A total of 49 patients diagnosed as AFLP)in ShenZhen People’s Hospital between January 2008 and January 2023 were retrospectively analyzed. According to the median length of hospital stays, the patients were divided into two groups: Group A(n=21)and Group B(n=28). Preoperative general laboratory data, clinical features and postpartum adverse outcomes in both groups were analyzed. Multivariate binary logistic regression was used to analyze the independent factors affecting the length of hospital stays for AFLP, and a prediction model for hospitalization time was established. 【Results】 Comparison between Group B and Group A were as follows: hospital stays(d)(15.5 vs 8), preoperative icterus(%)[16(57.1%)vs 3(14.3%)], thrombin time(TT)(s)(24.2 vs 21.3), prothrombin time(PT)(s)(16.8 vs 15.3), activated partial thromboplastin time(APTT)(s)(52.3 vs 40.7), total bilirubin(TBIL)(μmol/L)(77.2 vs 45.2), indirect bilirubin(IBIL)(μmol/L)(21.2 vs 10), creatinine(Cre)(μmol/L)[(171.97±53.34) vs (131.81±45.06]), TT extension(%)[24(85.7%)vs 11(52.4%)], APTT extension(%)[27(96.4%)vs 7(33.3%)], IBIL elevation(%)[19(67.9%)vs 4(19%)], Cre concentration rise(%)[21(75%)vs 8(38%)], number of postpartum plasma exchange sessions(%)[23(82.1%)vs 5(23.8%)], postpregnancy co-infection phenomenon(%)[21(75%)vs 4(19%)], with Group B significantly higher than Group A. The preoperative platelet count(×109/L)(128 vs 221)and the concentration of fibrinogen(g/L)[0.9 vs 1.6] in Group B were significantly lower than those in Group A. Univariate logistic regression analysis showed that preoperative icterus, postpregnancy co-infection phenomenon, number of postpartum plasma exchange sessions, preoperative TT extension, preoperative APTT extension, Cre concentration rise were influencing factors for the hospital stays of AFLP patients. According to the minimum result of Akaike information criterion, the multivariate binary logistic regression analysis (step-wise selection) showed that the number of postpartum plasma exchange sessions, icterus, preoperative APTT extension were the independent risk factor influencing the hospital stays of AFLP patients, and the logistic regression prediction model was established by incorporating the above three factors. Regularization techniques were further employed in linear regression to address and assess overfitting issues. Additionally, the confidence interval for the estimated effect sizes in each model have been acquired by bootstrapping techniques. 【Conclusion】 Preoperative icterus, preoperative APTT extension(APTT>43s)and the number of postpartum plasma exchange sessions were the independent risk factor influencing the hospital stays of AFLP patients and the logistic regression prediction model with high predictive effectiveness was established successfully.
