A new method for predicting SIRS after percutaneous transhepatic gallbladder drainage.

ABSTRACT: The occurrence of systemic inflammatory response after percutaneous transhepatic gallbladder drainage brings great risks to patients and is one of the challenges faced by clinicians. Therefore, it is of great significance to find a suitable prediction method for clinicians to intervene early and reduce the transformation of serious complications. Easy-to-obtain and objectively measured clinical features were screened, and logistic regression was used to construct a prediction model. The predictive ability of the model was evaluated by using the receiver operating characteristic curve and the decision curve in the validation set and the training set, respectively. Nine clinical features (CRP, Fever, DBIL, Obstruction, Bile properties, PCT, Length, Width, and Volume factor) were used to cons

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10700562 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature