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In-hospital mortality risk factors in community acquired pneumonia: evaluation of immunocompetent adult patients without comorbidities

Overview of attention for article published in Revista da Associação Médica Brasileira, April 2015
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Title
In-hospital mortality risk factors in community acquired pneumonia: evaluation of immunocompetent adult patients without comorbidities
Published in
Revista da Associação Médica Brasileira, April 2015
DOI 10.1590/1806-9282.61.02.144
Pubmed ID
Authors

Miguel Hernan Vicco, Franco Ferini, Luz Rodeles, Patricia Scholtus, Ana Karina Long, Héctor Mario Musacchio

Abstract

several scores were developed in order to improve the determination of community acquired pneumonia (CAP) severity and its management, mainly CURB-65 and SACP score. However, none of them were evaluated for risk assessment of in-hospital mortality, particularly in individuals who were non-immunosuppressed and/or without any comorbidity. In this regard, the present study was carried out. we performed a cross-sectional study in 272 immunocompetent patients without comorbidities and with a diagnosis of CAP. Performance of CURB- 65 and SCAP scores in predicting in-hospital mortality was evaluated. Also, variables related to death were assessed. Furthermore, in order to design a model of in-hospital mortality prediction, sampled individuals were randomly divided in two groups. The association of the variables with mortality was weighed and, by multiple binary regression, a model was constructed in one of the subgroups. Then, it was validated in the other subgroup. both scores yielded a fair strength of agreement, and CURB-65 showed a better performance in predicting in-hospital mortality. In our casuistry, age, white blood cell counts, serum urea and diastolic blood pressure were related to death. The model constructed with these variables showed a good performance in predicting in-hospital mortality; moreover, only one patient with fatal outcome was not correctly classified in the group where the model was constructed and in the group where it was validated. our findings suggest that a simple model that uses only 4 variables, which are easily accessible and interpretable, can identify seriously ill patients with CAP.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uganda 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 25%
Student > Postgraduate 4 14%
Student > Master 4 14%
Student > Bachelor 3 11%
Other 2 7%
Other 1 4%
Unknown 7 25%
Readers by discipline Count As %
Medicine and Dentistry 13 46%
Pharmacology, Toxicology and Pharmaceutical Science 4 14%
Nursing and Health Professions 2 7%
Social Sciences 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 7 25%