Unknown

Dataset Information

Validation of the Preoperative Score to Predict Postoperative Mortality (POSPOM) in Germany.


ABSTRACT:

Background

The Preoperative Score to Predict Postoperative Mortality (POSPOM) based on preoperatively available data was presented by Le Manach et al. in 2016. This prognostic model considers the kind of surgical procedure, patients' age and 15 defined comorbidities to predict the risk of postoperative in-hospital mortality. Objective of the present study was to validate POSPOM for the German healthcare coding system (G-POSPOM).

Methods and findings

All cases involving anaesthesia performed at the University Hospital Bonn between 2006 and 2017 were analysed retrospectively. Procedures codified according to the French Groupes Homogènes de Malades (GHM) were translated and adapted to the German Operationen- und Prozedurenschlüssel (OPS). Comorbidities were identified by the do

SUBMITTER: Layer YC 

PROVIDER: S-EPMC7840059 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature