A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study.

Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. yshindo@med.nagoya-u.ac.jp. Kyoto University Health Service, Kyoto, Japan. Department of Respiratory Medicine, Higashi Nagoya National Hospital, Nagoya, Japan. Department of Respiratory Medicine, Toyota Memorial Hospital, Toyota, Japan. Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan. Department of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan. Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Japan. Department of Respiratory Medicine, Matsunami General Hospital, Gifu, Japan. National Hospital Organization, Nagoya Medical Center, Nagoya, Japan.

BMC pulmonary medicine. 2022;(1):34
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Abstract

BACKGROUND Prediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pneumonia (HCAP) is limited. The objective of this study is to develop and validate a new prediction system for SAEs in inpatients with CAP. METHODS Logistic regression analysis was performed in 1334 inpatients of a prospective multicenter study to develop a multivariate model predicting SAEs (death, requirement of mechanical ventilation, and vasopressor support within 30 days after diagnosis). The developed ALL-COP-SCORE rule based on the multivariate model was validated in 643 inpatients in another prospective multicenter study. RESULTS The ALL-COP SCORE rule included albumin (< 2 g/dL, 2 points; 2-3 g/dL, 1 point), white blood cell (< 4000 cells/μL, 3 points), chronic lung disease (1 point), confusion (2 points), PaO2/FIO2 ratio (< 200 mmHg, 3 points; 200-300 mmHg, 1 point), potassium (≥ 5.0 mEq/L, 2 points), arterial pH (< 7.35, 2 points), systolic blood pressure (< 90 mmHg, 2 points), PaCO2 (> 45 mmHg, 2 points), HCO3- (< 20 mmol/L, 1 point), respiratory rate (≥ 30 breaths/min, 1 point), pleural effusion (1 point), and extent of chest radiographical infiltration in unilateral lung (> 2/3, 2 points; 1/2-2/3, 1 point). Patients with 4-5, 6-7, and ≥ 8 points had 17%, 35%, and 52% increase in the probability of SAEs, respectively, whereas the probability of SAEs was 3% in patients with ≤ 3 points. The ALL-COP SCORE rule exhibited a higher area under the receiver operating characteristic curve (0.85) compared with the other predictive models, and an ALL-COP SCORE threshold of ≥ 4 points exhibited 92% sensitivity and 60% specificity. CONCLUSIONS ALL-COP SCORE rule can be useful to predict SAEs and aid in decision-making on treatment intensity for all inpatients with CAP including those with HCAP. Higher-intensity treatment should be considered in patients with CAP and an ALL-COP SCORE threshold of ≥ 4 points. TRIAL REGISTRATION This study was registered with the University Medical Information Network in Japan, registration numbers UMIN000003306 and UMIN000009837.

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MeSH terms : Pneumonia ; Risk Assessment