Title |
In-hospital mortality risk factors in community acquired pneumonia: evaluation of immunocompetent adult patients without comorbidities
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Published in |
Revista da Associação Médica Brasileira, April 2015
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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. |
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Geographical breakdown
Country | Count | As % |
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Demographic breakdown
Readers by professional status | Count | As % |
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Student > Postgraduate | 4 | 13% |
Student > Master | 4 | 13% |
Student > Bachelor | 3 | 9% |
Other | 2 | 6% |
Other | 2 | 6% |
Unknown | 8 | 25% |
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Pharmacology, Toxicology and Pharmaceutical Science | 4 | 13% |
Business, Management and Accounting | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 9 | 28% |