Literature DB >> 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.

Maggie McNally1, James Curtain, Kirsty K O'Brien, Borislav D Dimitrov, Tom Fahey.   

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.

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Year:  2010        PMID: 20883616      PMCID: PMC2944951          DOI: 10.3399/bjgp10X532422

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  37 in total

1.  A prediction rule for elderly primary-care patients with lower respiratory tract infections.

Authors:  J Bont; E Hak; A W Hoes; M Schipper; F G Schellevis; T J M Verheij
Journal:  Eur Respir J       Date:  2007-01-10       Impact factor: 16.671

2.  Predicting death in elderly patients with community-acquired pneumonia: a prospective validation study reevaluating the CRB-65 severity assessment tool.

Authors:  Jettie Bont; Eelko Hak; Arno W Hoes; John T Macfarlane; Theo J M Verheij
Journal:  Arch Intern Med       Date:  2008-07-14

3.  Systolic blood pressure is superior to other haemodynamic predictors of outcome in community acquired pneumonia.

Authors:  J D Chalmers; A Singanayagam; A T Hill
Journal:  Thorax       Date:  2008-05-20       Impact factor: 9.139

4.  Evidence-informed evidence-making.

Authors:  Kalipso Chalkidou; Tom Walley; Anthony Culyer; Peter Littlejohns; Andrew Hoy
Journal:  J Health Serv Res Policy       Date:  2008-07

5.  Prospective comparison of prediction rules of mortality risk for CAP in a developing country.

Authors:  F F Zuberi; J A Khan
Journal:  Int J Tuberc Lung Dis       Date:  2008-04       Impact factor: 2.373

6.  Outcome of community-acquired pneumonia: influence of age, residence status and antimicrobial treatment.

Authors:  H Kothe; T Bauer; R Marre; N Suttorp; T Welte; K Dalhoff
Journal:  Eur Respir J       Date:  2008-02-20       Impact factor: 16.671

7.  Procalcitonin predicts patients at low risk of death from community-acquired pneumonia across all CRB-65 classes.

Authors:  S Krüger; S Ewig; R Marre; J Papassotiriou; K Richter; H von Baum; N Suttorp; T Welte
Journal:  Eur Respir J       Date:  2007-10-24       Impact factor: 16.671

8.  Risk prediction with procalcitonin and clinical rules in community-acquired pneumonia.

Authors:  David T Huang; Lisa A Weissfeld; John A Kellum; Donald M Yealy; Lan Kong; Michael Martino; Derek C Angus
Journal:  Ann Emerg Med       Date:  2008-03-17       Impact factor: 5.721

9.  Identifying severe community-acquired pneumonia in the emergency department: a simple clinical prediction tool.

Authors:  Kirsty L Buising; Karin A Thursky; James F Black; Lachlan MacGregor; Alan C Street; Marcus P Kennedy; Graham V Brown
Journal:  Emerg Med Australas       Date:  2007-10       Impact factor: 2.151

10.  Sepsis severity predicts outcome in community-acquired pneumococcal pneumonia.

Authors:  B Schaaf; J Kruse; J Rupp; R R Reinert; D Droemann; P Zabel; S Ewig; K Dalhoff
Journal:  Eur Respir J       Date:  2007-05-30       Impact factor: 16.671

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  21 in total

1.  Severity assessment for lower respiratory tract infections: potential use and validity of the CRB-65 in primary care.

Authors:  Nick A Francis; Jochen W Cals; Christopher C Butler; Kerenza Hood; Theo Verheij; Paul Little; Herman Goossens; Samuel Coenen
Journal:  Prim Care Respir J       Date:  2012-03

2.  Lower respiratory tract infection in the community: prognosis predictably difficult to predict.

Authors:  Paul A Marsden; Mark Woodhead
Journal:  Prim Care Respir J       Date:  2012-03

3.  Hospital admission decision for patients with community-acquired pneumonia.

Authors:  Stefano Aliberti; Paola Faverio; Francesco Blasi
Journal:  Curr Infect Dis Rep       Date:  2013-04       Impact factor: 3.725

4.  Blood culture use in the emergency department in patients hospitalized for community-acquired pneumonia.

Authors:  Anil N Makam; Andrew D Auerbach; Michael A Steinman
Journal:  JAMA Intern Med       Date:  2014-05       Impact factor: 21.873

5.  Clinical gestalt to diagnose pneumonia, sinusitis, and pharyngitis: a meta-analysis.

Authors:  Ariella P Dale; Christian Marchello; Mark H Ebell
Journal:  Br J Gen Pract       Date:  2019-06-17       Impact factor: 5.386

6.  Diagnosing community-acquired pneumonia via a smartphone-based algorithm: a prospective cohort study in primary and acute-care consultations.

Authors:  Paul Porter; Joanna Brisbane; Udantha Abeyratne; Natasha Bear; Javan Wood; Vesa Peltonen; Phillip Della; Claire Smith; Scott Claxton
Journal:  Br J Gen Pract       Date:  2021-03-26       Impact factor: 5.386

7.  Predictors of Adverse Outcomes in Uncomplicated Lower Respiratory Tract Infections.

Authors:  Michael Moore; Beth Stuart; Mark Lown; Ann Van den Bruel; Sue Smith; Kyle Knox; Matthew J Thompson; Paul Little
Journal:  Ann Fam Med       Date:  2019-05       Impact factor: 5.166

Review 8.  Meta-analysis of Calibration, Discrimination, and Stratum-Specific Likelihood Ratios for the CRB-65 Score.

Authors:  Mark H Ebell; Mary E Walsh; Tom Fahey; Maggie Kearney; Christian Marchello
Journal:  J Gen Intern Med       Date:  2019-04-16       Impact factor: 5.128

Review 9.  [Risk scores for community acquired pneumonia in elderly and geriatric patients].

Authors:  M A Pflug; T Wesemann; H J Heppner; U Thiem
Journal:  Z Gerontol Geriatr       Date:  2015-05-09       Impact factor: 1.281

10.  Validation of the CORB75 (confusion, oxygen saturation, respiratory rate, blood pressure, and age ≥ 75 years) as a simpler pneumonia severity rule.

Authors:  O Ochoa-Gondar; A Vila-Corcoles; T Rodriguez-Blanco; I Hospital; E Salsench; X Ansa; N Saun
Journal:  Infection       Date:  2013-11-29       Impact factor: 3.553

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