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vol.19 issue4Factores asociados a estancia prolongada en una población de pacientes con exacerbación de Enfermedad Pulmonar Obstructiva Crónica en un hospital de referencia del Nororiente Colombiano author indexsubject indexarticles search
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Revista americana de medicina respiratoria

On-line version ISSN 1852-236X

Abstract

SANTAMARIA ALZA, Yeison et al. Factors Associated with a Prolonged Hospital Length of Stay in a Population of Patients with Exacerbation of Chronic Obstructive Pulmonary Disease in a Reference Hospital in Northeastern Colombia. Rev. am. med. respir. [online]. 2019, vol.19, n.4, pp.321-328. ISSN 1852-236X.

A prolonged hospital length of stay during an episode of exacerbation of chronic obstructive pulmonary disease is a condition that increases the risk of suffering associated medical complications. Objective: The objective of this study was to determine the factors associated with a prolonged hospital length of stay in exacerbations of chronic obstructive pulmonary disease through a prediction model. Materials and Methods: In a cross-sectional study we gathered the data of the medical records of a hospital located in the Eastern region of Colombia, between years 2012 and 2014. We carried out a descriptive, bivariate and multivariate analysis. Results: A total of 212 patients were included in this study. 61.32% showed a prolonged hospital length of stay. We found a significant statistical association between the prolonged hospital stay and the independent variables of the bivariate analysis: dyspnea (OR [Odds Ratio]: 2.87 p = 0.04), fever (OR: 2; p = 0.02), inpatient oxygen (OR: 2.34, p = 0.003), inpatient anticholinergics (OR: 2.91, p = 0.002), inpatient antibiotic (OR: 2.25, p= 0.004), segs (OR: 1.02, p= 0.01) and lymphocytes (OR: 0.95, p = 0.003). The predictive model had a p value of 0.4950 in the analysis of goodness (Pearson Test) and a p value of 0.2689 in the goodness of fit test (Hosmer-Lemeshow Test), indicating an adequate fit. Also, the model showed an area under the curve of 0.6588. Conclusions: Our prediction model included the following variables: age, anticholinergics and segs, for their significant association. It has an adequate fit and a good pattern of prediction.

Keywords : COPD; Hospitalization/length of stay; Infection; Statistical model; Prevention.

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