An Update to the Kaiser Permanente Inpatient Risk Adjustment Methodology Accurately Predicts In-Hospital Mortality: a Retrospective Cohort Study.
J Gen Intern Med
; 38(15): 3303-3312, 2023 Nov.
Article
em En
| MEDLINE
| ID: mdl-37296357
ABSTRACT
BACKGROUND:
Methods to accurately predict the risk of in-hospital mortality are important for applications including quality assessment of healthcare institutions and research.OBJECTIVE:
To update and validate the Kaiser Permanente inpatient risk adjustment methodology (KP method) to predict in-hospital mortality, using open-source tools to measure comorbidity and diagnosis groups, and removing troponin which is difficult to standardize across modern clinical assays.DESIGN:
Retrospective cohort study using electronic health record data from GEMINI. GEMINI is a research collaborative that collects administrative and clinical data from hospital information systems.PARTICIPANTS:
Adult general medicine inpatients at 28 hospitals in Ontario, Canada, between April 2010 and December 2022. MAINMEASURES:
The outcome was in-hospital mortality, modeled by diagnosis group using 56 logistic regressions. We compared models with and without troponin as an input to the laboratory-based acute physiology score. We fit and validated the updated method using internal-external cross-validation at 28 hospitals from April 2015 to December 2022. KEYRESULTS:
In 938,103 hospitalizations with 7.2% in-hospital mortality, the updated KP method accurately predicted the risk of mortality. The c-statistic at the median hospital was 0.866 (see Fig. 3) (25th-75th 0.848-0.876, range 0.816-0.927) and calibration was strong for nearly all patients at all hospitals. The 95th percentile absolute difference between predicted and observed probabilities was 0.038 at the median hospital (25th-75th 0.024-0.057, range 0.006-0.118). Model performance was very similar with and without troponin in a subset of 7 hospitals, and performance was similar with and without troponin for patients hospitalized for heart failure and acute myocardial infarction.CONCLUSIONS:
An update to the KP method accurately predicted in-hospital mortality for general medicine inpatients in 28 hospitals in Ontario, Canada. This updated method can be implemented in a wider range of settings using common open-source tools.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Risco Ajustado
/
Pacientes Internados
Tipo de estudo:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
/
Humans
País/Região como assunto:
America do norte
Idioma:
En
Revista:
J Gen Intern Med
Assunto da revista:
MEDICINA INTERNA
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Canadá