Estimating the risk of bacteraemia in hospitalised patients with pneumococcal pneumonia

Objective: To construct a prediction model for bacteraemia in patients with pneumococcal community-acquired pneumonia (P-CAP) based on variables easily obtained at hospital admission. Methods: This prospective observational multicentre derivation-validation study was conducted in patients hospitalised with P-CAP between 2000 and 2020. All cases were diagnosed based on positive urinary antigen tests in the emergency department and had blood cultures taken on admission. A risk score to predict bacteraemia was developed. Results: We included 1783 patients with P-CAP (1195 in the derivation and 588 in the validation cohort). A third (33.3%) of the patients had bacteraemia. In the multivariate analysis, the following were identified as independent factors associated with bacteraemia: no influenza vaccination the last year, no pneumococcal vaccination in the last 5 years, blood urea nitrogen (BUN) >= 30 mg/dL, sodium <130 mmol/L, lymphocyte count <800/mu l, C-reactive protein >= 200 mg/L, respiratory failure, pleural effusion and no antibiotic treatment before admission. The score yielded good discrimination (AUC 0.732; 95% CI: 0.695-0.769) and calibration (Hosmer-Lemeshow p-value 0.801), with similar performance in the validation cohort (AUC 0.764; 95% CI:0.719-0.809). Conclusions: We found nine predictive factors easily obtained on hospital admission that could help achieve early identification of bacteraemia. The prediction model provides a useful tool to guide diagnostic decisions. (c) 2022 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Automated summary

This study aims to construct a prediction model for bacteraemia in patients with P-CAP based on variables easily obtained at hospital admission. Nine independent factors associated with bacteraemia were identified, and a risk score was developed. The score showed good discrimination and calibration, performing well in the validation cohort.