[Analysis of prognostic factors and construction of a logistic regression model for patients with drug-induced liver failure].
Zhong Nan Da Xue Xue Bao Yi Xue Ban
; 43(12): 1337-1344, 2018 Dec 28.
Article
in Zh
| MEDLINE
| ID: mdl-30643050
ABSTRACT
OBJECTIVE:
To explore the prognostic factors for patients with drug-induced liver failure (DILF) and construct a logistic regression model (LRM).â©Methods:
A retrospective analysis of clinical data was performed in 183 hospitalized patients, who were diagnosed with DILF in Xiangya Hospital, the Second Xiangya Hospital and the Third Xiangya Hospital, Central South University from January 2009 to January 2018. The patients were divided into an improved group (n=67) and an ineffective group (n=116) according to their prognosis. Univariate analysis was performed to screen for possible prognostic factors such as age, Tbil, SCr, PT and complications. According to the results of univariate analysis, the multivariate analysis was performed to determine the independent prognostic factors and construct a LRM. The LRM was compared with the model for end-stage liver disease (MELD), the predictive value of LRM and MELD was evaluated by receiver operating characteristic curve (ROC), the parameters such as area under the ROC (AUC) and total accuracy were compared between the 2 models and verified by another independent sample.â©Results:
According to univariate analysis, there was significant differences in age, clinical type, hepatic encephalopathy, hepatorenal syndrome, WBC count, the ratio of aspartic acid transaminase (AST) to glutamine transaminase (ALT) (AST/ALT), Tbil, SCr, PT and alpha-fetoprotein (AFP) between the 2 groups (all P<0.05). Multivariate analysis revealed that AFP, PT, AST/ALT, hepatic encephalopathy and hepatorenal syndrome were independent prognostic factors for DILF, which could be applied to constructing a LRM. The AUC of LRM and MELD was 0.917 (95% CI 0.876 to 0.959) and 0.709 (95% CI 0.633 to 0.786) respectively, the total accuracy rate of prediction for the LRM and the MELD was 86.7% and 68.3% respectively, there was significant difference in AUC and total accuracy rate between the LRM and the MELD (P<0.05). LRM was superior to MELD.â©Conclusion:
AFP, PT, AST/ALT, hepatic encephalopathy and hepatorenal syndrome were independent prognostic factors for DILF; the LRM can well predict the prognosis in the DILF patients, which is superior to the MELD.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Logistic Models
/
Liver Failure
Type of study:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Country/Region as subject:
Asia
Language:
Zh
Journal:
Zhong Nan Da Xue Xue Bao Yi Xue Ban
Journal subject:
MEDICINA
Year:
2018
Document type:
Article
Affiliation country:
China