2019, Number 5
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Rev Invest Clin 2019; 71 (5)
A Multivariate Prognostic Score for Predicting Mortality of Acquired Immunodeficiency Syndrome Patients with Hypoxemic Respiratory Failure and Pneumocystis jiroveci Pneumonia
Hernández-Cárdenas CM, Mendoza-Copa G, Hong-Zhu P, Gómez-García IA, Lugo-Goytia G
Language: English
References: 39
Page: 311-320
PDF size: 213.54 Kb.
ABSTRACT
Background: Severe hypoxemic respiratory failure (SHRF) due to
Pneumocystis jiroveci pneumonia (PJP) in AIDS patients represents
the main cause of admission and mortality in respiratory intensive care units (RICUs) in low- and middle-income countries.
Objective: The objective of this study was to develop a predictive scoring system to estimate the risk of mortality in HIV/
AIDS patients with PJP and SHRF.
Methods: We analyzed data of patients admitted to the RICU between January 2013 and
January 2018 with a diagnosis of HIV infection and PJP. Multivariate logistic regression and Kaplan–Meier method were used in
data analysis. The RICU and inhospital mortality were 25% and 26%, respectively. Multivariate analysis identified four independent
predictors: body mass index, albumin, time to ICU admission, and days of vasopressor support. A predictive scoring system
was derived and validated internally. The discrimination was 0.869 (95% confidence interval: 0.821-0.917) and calibration intercept
(α) and slope (β) were 0.03 and 0.99, respectively. The sensitivity was 47.2%, specificity was 84.6%, positive predictive
value was 89.2%, and negative predictive value was 82.6%.
Conclusions: This scoring system is a potentially useful tool to
assist clinicians, in low- and medium-income countries, in estimating the RICU and inhospital mortality risk in patients with HIV/
AIDS and SHRF caused by PJP.
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