Derivation and Validation of an In-Hospital Mortality Prediction Model Suitable for Profiling Hospital Performance in Heart Failure

作者：Lagu Tara^*; Pekow Penelope S; Stefan Mihaela S; Shieh Meng Shiou; Pack Quinn R; Kashef Mohammad Amin; Atreya Auras R; Valania Gregory; Slawsky Mara T; Lindenauer Peter K

来源：Journal of the American Heart Association, 2018, 7(4): e005256.

DOI：10.1161/JAHA.116.005256

• heart failure
• mortality
• quality of care

BackgroundComparing heart failure (HF) outcomes across hospitals requires adequate risk adjustment. We aimed to develop and validate a model that can be used to compare quality of HF care across hospitals.
Methods and ResultsWe included patients with HF aged 18years admitted to one of 433 hospitals that participated in the Premier Inc Data Warehouse. This model (Premier) contained patient demographics, comorbidities, and acute conditions present on admission, derived from administrative and billing records. In a separate data set derived from electronic health records, we validated the Premier model by comparing hospital risk-standardized mortality rates calculated with the Premier model to those calculated with a validated clinical model containing laboratory data (LAPS [Laboratory-Based Acute Physiology Score]). Among the 200832 admissions in the Premier Inc Data Warehouse, inpatient mortality was 4.0%. The model showed acceptable discrimination in the warehouse data (C statistic 0.75; 95% confidence interval, 0.74-0.76). In the validation data set, both the Premier model and the LAPS models showed acceptable discrimination (C statistic: Premier: 0.76 [95% confidence interval, 0.74-0.77]; LAPS: 0.78 [95% confidence interval, 0.76-0.80]). Risk-standardized mortality rates for both models ranged from 2% to 7%. A linear regression equationdescribing the association between Premier- and LAPS-specific mortality rates revealed a regression line with a slope of 0.71 (SE: 0.07). The correlation coefficient of the standardized mortality rates from the 2 models was 0.82.
ConclusionsCompared with a validated model derived from clinical data, an HF mortality model derived from administrative data showed highly correlated risk-standardized mortality rate estimates, suggesting it could be used to identify high- and low-performing hospitals for HF care.

• 出版日期2018-2-20