» Articles » PMID: 20883616

Validity of British Thoracic Society Guidance (the CRB-65 Rule) for Predicting the Severity of Pneumonia in General Practice: Systematic Review and Meta-analysis

Overview
Journal Br J Gen Pract
Specialty Public Health
Date 2010 Oct 2
PMID 20883616
Citations 34
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The CRB-65 score is a clinical prediction rule that grades the severity of community-acquired pneumonia in terms of 30-day mortality.

Aim: The study sought to validate CRB-65 and assess its clinical value in community and hospital settings.

Design Of Study: Systematic review and meta-analysis of validation studies of CRB-65.

Method: Medline (1966 to June 2009), Embase (1988 to November 2008), British Nursing Index (BNI) and PsychINFO were searched, using a diagnostic accuracy search filter combined with subject-specific terms. The derived (index) rule was used as a predictive model and applied to all validation studies. Comparison was made between the observed and predicted number of deaths stratified by risk group (low, intermediate, and high) and setting of care (community or hospital). Pooled results are presented as risk ratios (RRs) in terms of over-prediction (RR>1) or under-prediction (RR<1) of 30-day mortality.

Results: Fourteen validation studies totalling 397 875 patients are included. CRB-65 performs well in hospitalised patients, particularly in those classified as intermediate (RR 0.91, 95% confidence interval [CI] = 0.71 to 1.17) or high risk (RR 1.01, 95% CI = 0.87 to 1.16). In community settings, CRB-65 over-predicts the probability of 30-day mortality across all strata of predicted risk, low (RR 9.41, 95% CI = 1.75 to 50.66), intermediate (RR 4.84, 95% CI = 2.61 to 8.69), and high (RR 1.58, 95% CI = 0.59 to 4.19).

Conclusion: CRB-65 performs well in stratifying severity of pneumonia and resultant 30-day mortality in hospital settings. In community settings, CRB-65 appears to over-predict the probability of 30-day mortality across all strata of predicted risk. Caution is needed when applying CRB-65 to patients in general practice.

Citing Articles

The SpO/FiO Ratio Combined with Prognostic Scores for Pneumonia and COVID-19 Increases Their Accuracy in Predicting Mortality of COVID-19 Patients.

Zinna G, Pipito L, Colomba C, Scichilone N, Licata A, Barbagallo M J Clin Med. 2024; 13(19).

PMID: 39407943 PMC: 11478206. DOI: 10.3390/jcm13195884.


Prognostic factors and prediction models for hospitalisation and all-cause mortality in adults presenting to primary care with a lower respiratory tract infection: a systematic review.

Rijk M, Platteel T, van den Berg T, Geersing G, Little P, Rutten F BMJ Open. 2024; 14(3):e075475.

PMID: 38521534 PMC: 10961536. DOI: 10.1136/bmjopen-2023-075475.


Management and documentation of pneumonia - a comparison of patients consulting primary care and emergency care.

Arntsberg L, Fernberg S, Berger A, Hedin K, Moberg A Scand J Prim Health Care. 2024; 42(2):338-346.

PMID: 38459974 PMC: 11003321. DOI: 10.1080/02813432.2024.2326469.


Prognostic accuracy of eight triage scores in suspected COVID-19 in an Emergency Department low-income setting: An observational cohort study.

Marincowitz C, Hasan M, Omer Y, Hodkinson P, McAlpine D, Goodacre S Afr J Emerg Med. 2024; 14(1):51-57.

PMID: 38317781 PMC: 10839866. DOI: 10.1016/j.afjem.2023.12.004.


Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review.

Cummerow J, Wienecke C, Engler N, Marahrens P, Gruening P, Steinhauser J J Med Internet Res. 2023; 25:e46929.

PMID: 38096024 PMC: 10755665. DOI: 10.2196/46929.


References
1.
. BTS Guidelines for the Management of Community Acquired Pneumonia in Adults. Thorax. 2001; 56 Suppl 4:IV1-64. PMC: 1765992. DOI: 10.1136/thorax.56.suppl_4.iv1. View

2.
Espana P, Capelastegui A, Gorordo I, Esteban C, Oribe M, Ortega M . Development and validation of a clinical prediction rule for severe community-acquired pneumonia. Am J Respir Crit Care Med. 2006; 174(11):1249-56. DOI: 10.1164/rccm.200602-177OC. View

3.
Schuetz P, Koller M, Christ-Crain M, Steyerberg E, Stolz D, Muller C . Predicting mortality with pneumonia severity scores: importance of model recalibration to local settings. Epidemiol Infect. 2008; 136(12):1628-37. PMC: 2870789. DOI: 10.1017/S0950268808000435. View

4.
Moons K, Royston P, Vergouwe Y, Grobbee D, Altman D . Prognosis and prognostic research: what, why, and how?. BMJ. 2009; 338:b375. DOI: 10.1136/bmj.b375. View

5.
Huang D, Weissfeld L, Kellum J, Yealy D, Kong L, Martino M . Risk prediction with procalcitonin and clinical rules in community-acquired pneumonia. Ann Emerg Med. 2008; 52(1):48-58.e2. PMC: 2775454. DOI: 10.1016/j.annemergmed.2008.01.003. View