• Isr Med Assoc J · Oct 2020

    The Profile of COPD Patients with Prolonged Hospitalizations: A Retrospective Analysis of 200 Hospital Admissions.

    • Emil Abd El-Qader, Lilach Israeli-Shani, Gali Epstein Shochet, Zamir Dovrish, Daniel A King, David Dahan, Ori Wand, and David Shitrit.
    • Department of Internal Medicine D, Meir Medical Center, Kfar Saba, Israel.
    • Isr Med Assoc J. 2020 Oct 1; 22 (10): 618-622.

    BackgroundPatients with severe chronic obstructive pulmonary disease (COPD) experience frequent exacerbations and need to be hospitalized, resulting in an economic and social burden. Although data exist regarding reasons of frequent hospitalizations, there is no data available about the impact on the length of stay (LOS).ObjectivesTo characterize the causes of prolonged hospitalizations in COPD patients.MethodsA retrospective study was conducted of patients who were diagnosed and treated in the pulmonary department for severe COPD exacerbations. All patient demographic data and medical history were collected. Data regarding the disease severity were also collected (including Global Initiative for Obstructive Lung Disease [GOLD] criteria, pulmonologist follow-up, prior hospitalizations, and LOS).ResultsThe study comprised 200 patients, average age 69.5 ± 10.8 years, 61% males. Of these patients, 89 (45%) were hospitalized for up to 4 days, 111 (55%) for 5 days or more, and 34 (17%) for more than 7 days. Single patients had longer LOS compared with married patients (48% vs. 34%, P = 0.044). Multivariate analysis showed that the number of prior hospital admissions in the last year was a predictor of LOS (P = 0.038, odds ratio [OR] = 0.807, 95% confidence interval [95%CI] = 0.659-0.988), as well as the use of non-invasive respiratory support by bilevel positive airway pressure (BiPAP) during the hospitalization (P = 0.024, OR = 4.662, 95%CI = 1.229-17.681).ConclusionsFewer previous hospitalizations due to COPD exacerbations and the need for non-invasive respiratory support by BiPAP were found as predictors of longer LOS.

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