Literature DB >> 19961875

Validation and comparison of SCAP as a predictive score for identifying low-risk patients in community-acquired pneumonia.

Pedro P España1, Alberto Capelastegui, José M Quintana, Amaia Bilbao, Rosa Diez, Silvia Pascual, Cristóbal Esteban, Rafael Zalacaín, Rosario Menendez, Antoni Torres.   

Abstract

PURPOSES: (1) To validate the Severe Community Acquired Pneumonia (SCAP) score in predicting 30-day mortality. (2) To validate its ability to identifying patients at low risk of death. (3) To compare it against the Pneumonia Severity Index (PSI), and the British Thoracic Society's CURB-65 rules.
METHODS: The SCAP score was validated to predict 30-day mortality in an internal validation cohort of consecutive adult patients seen in one hospital. Consecutive inpatients from other three hospitals were used to externally validate the score and compare the SCAP with the PSI and CURB-65. The discriminatory power of these rules to predict 30-day mortality was tested by the Area under Curve (AUC), and their predictive accuracy with the sensitivity, specificity and predictive values.
RESULTS: The 30-day mortality rate increased directly with increasing SCAP score (class 0: 0.5%, to class 4: 66.5% risk) in the internal validation cohort, and from 1.3% to 29.2% in external cohort (P<0.001) with an AUC of 0.83 and 0.75, respectively (P=0.024). The SCAP score identified 62.4% (95% IC 58.8-66.0) low-risk patients, 52.5% (95% IC 48.8-56.2) the PSI and 46.2% (95% CI 42.5-49.9) the CURB-65 in the external cohort. Patients classified as low risk by the three rules had similar 30-day mortality (SCAP: 2.5%, PSI: 1.6% and CURB-65: 2.7%).
CONCLUSION: The SCAP is valid to predict 30-day mortality among low-risk patients and identifies a larger proportion of patients as low-risk than the other studied rules. Copyright 2009. Published by Elsevier Ltd.

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Year:  2009        PMID: 19961875     DOI: 10.1016/j.jinf.2009.11.013

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  9 in total

Review 1.  Elderly patients with community-acquired pneumonia: optimal treatment strategies.

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Journal:  Drugs Aging       Date:  2011-07-01       Impact factor: 3.923

Review 2.  Defining severe pneumonia.

Authors:  Samuel M Brown; Nathan C Dean
Journal:  Clin Chest Med       Date:  2011-07-12       Impact factor: 2.878

3.  Guidelines for diagnosis and management of community- and hospital-acquired pneumonia in adults: Joint ICS/NCCP(I) recommendations.

Authors:  Dheeraj Gupta; Ritesh Agarwal; Ashutosh Nath Aggarwal; Navneet Singh; Narayan Mishra; G C Khilnani; J K Samaria; S N Gaur; S K Jindal
Journal:  Lung India       Date:  2012-07

4.  Application and comparison of scoring indices to predict outcomes in patients with healthcare-associated pneumonia.

Authors:  Wen-Feng Fang; Kuang-Yao Yang; Chieh-Liang Wu; Chong-Jen Yu; Chang-Wen Chen; Chih-Yen Tu; Meng-Chih Lin
Journal:  Crit Care       Date:  2011-01-19       Impact factor: 9.097

Review 5.  Pneumonia severity scores in resource poor settings.

Authors:  Jamie Rylance; Peter Waitt
Journal:  Pneumonia (Nathan)       Date:  2014-12-01

6.  2018 recommendations for the management of community acquired pneumonia.

Authors:  Ricardo de Amorim Corrêa; Andre Nathan Costa; Fernando Lundgren; Lessandra Michelin; Mara Rúbia Figueiredo; Marcelo Holanda; Mauro Gomes; Paulo José Zimermann Teixeira; Ricardo Martins; Rodney Silva; Rodrigo Abensur Athanazio; Rosemeri Maurici da Silva; Mônica Corso Pereira
Journal:  J Bras Pneumol       Date:  2018 Sep-Oct       Impact factor: 2.624

7.  Retrospective epidemiological study for the characterization of community- acquired pneumonia and pneumococcal pneumonia in adults in a well-defined area of Badalona (Barcelona, Spain).

Authors:  Antoni Sicras-Mainar; Jordi Ibáñez-Nolla; Isabel Cifuentes; Pablo Guijarro; Ruth Navarro-Artieda; Lorenzo Aguilar
Journal:  BMC Infect Dis       Date:  2012-11-01       Impact factor: 3.090

Review 8.  Prediction of severe community-acquired pneumonia: a systematic review and meta-analysis.

Authors:  Christophe Marti; Nicolas Garin; Olivier Grosgurin; Antoine Poncet; Christophe Combescure; Sebastian Carballo; Arnaud Perrier
Journal:  Crit Care       Date:  2012-07-27       Impact factor: 9.097

9.  Development and Validation of Nomogram for Hospital Mortality in Immunocompromised Patients with Severe Pneumonia in Intensive Care Units: A Single-Center, Retrospective Cohort Study.

Authors:  Lei Yang; Dingxiu He; Dong Huang; Zhongwei Zhang; Zongan Liang
Journal:  Int J Gen Med       Date:  2022-01-10
  9 in total

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