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IDENTIFYING PREDICTORS OF RISK STRATIFICATION IN HOSPITALIZED HEART FAILURE PATIENTS
Topic: Heart failure
Type: Poster - doctors , Number in the programme: 49

Čížek J.1, Šebístková K.2, Mašek P.2, Neuberg M.2, Toušek P.1

1 III. Interní-kardiologická klinika, Fakultní nemocnice Královské Vinohrady, Prague, 2 Integrated Health Solutions, Medtronic, Prague


Aim: To identify predictors of early rehospitalization in patients with heart failure
Methodology: We analyzed data of 3125 patients, a total of 4137 consecutive hospitalizations, with a primary (N=1538; 37%) or secondary discharge diagnosis of heart failure according to the International Classification of Diseases ICD-10 (Dg. I500, I501, I509) for the period 1.1.2021-31.3.2023. We assessed rehospitalization for heart failure decompensation within 90 days as of June 30, 2023. Continuous variables were analysed using Student’s t-test or the Mann–Whitney U-test. Categorical variables were analysed using the χ2 test and Fisher’s exact test. Logistic regression was performed to evaluate the effects of selected predictors on rehospitalization. Predictors of rehospitalization in the univariate analysis with P-values

Results: 362 (i.e. 8.75%) of the 4137 hospitalizations were acute rehospitalizations. The significant risk factors (AUC 0.603, p<0.001) for early rehospitalization of heart failure were length of hospitalization (more than 5 days, sensitivity 76.2%, specificity 38.3%), age (more than 61 years, sensitivity 90.6%, specificity 13.2%), history of ischemic heart disease, cancer, chronic respiratory disease (including COPD and asthma), laboratory measurements NT-proBNP level (more than 5654ng/l, sensitivity 61.9%, specificity 47.7%)
CONCLUSION: Based on administrative data, we identified a combination of the above comorbidities, higher age, length of hospitalization and NT-proBNP levels as relevant risk factors for early rehospitalization for heart failure decompensation