Literature DB >> 35224712

Predictors of short-term COPD readmission.

Jose M Quintana1,2,3, Ane Anton-Ladislao4,5,6, Miren Orive7,5,6, Amaia Aramburu8,9, Milagros Iriberri10,9, Raquel Sánchez11, Alberto Jiménez-Puente12, Javier de-Miguel-Díez13,14, Cristobal Esteban8,5,9.   

Abstract

COPD readmissions have a great impact on patients' quality of life and mortality. Our goal was to identify factors related to 60-day readmission. We conducted a prospective observational cohort study with a nested case-control study, with 60 days of follow-up after the index admission. Patients readmitted were matched, by age, baseline forced expiratory volume in 1 s and month at admission, with patients admitted in the same period but not readmitted at 2 months. Data were collected on sociodemographic and clinical characteristics and health-related quality of life data at the index admission and events from discharge to readmission within 60 days. Conditional logistic (60-day readmission) and Cox (days to readmission) regression models were constructed. Both multivariable analyses identified the following as predictors: any admission in the preceding 2 months (OR: 2.366; HR: 1.918), hematocrit at ED arrival ≤ 35% (OR: 2.949; HR: 1.570), pre-existing cardiovascular disease (valvular disease or myocardial infarction) (OR: 1.878; HR: 1.490); NIMV at discharge (OR: 0.547; HR: 0.70); no appointment with a specialist after discharge (OR: 5.785; HR: 3.373) and patient-reported need for help at home (OR: 2.978; HR: 2.061). The AUC for the logistic model was 0.845 and the c-index for the Cox model was 0.707. EuroQol EQ-5D score before the admission was correlated with a lower risk of readmission (OR: 0.383; HR: 0.670). As conclusions, we have identified factors related to 60-day readmission and summarized the findings in easy-to-use scoring scales that could be incorporated into the daily clinical routine and may help establish preventive measures to reduce future readmissions.Registration: Clinical Trial Registration NCT03227211.
© 2022. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI).

Entities:  

Keywords:  Chronic obstructive; Clinical prediction rule; Cohort studies; Hospital readmission; Nested case–control study; Pulmonary disease

Mesh:

Year:  2022        PMID: 35224712     DOI: 10.1007/s11739-022-02948-4

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   5.472


  6 in total

1.  Feasibility, validity and test-retest reliability of scaling methods for health states: the visual analogue scale and the time trade-off.

Authors:  X Badia; S Monserrat; M Roset; M Herdman
Journal:  Qual Life Res       Date:  1999-06       Impact factor: 4.147

2.  Psychometric characteristics of the Spanish version of the Barthel Index.

Authors:  Nerea González; Amaia Bilbao; Maria Joao Forjaz; Alba Ayala; Miren Orive; Susana Garcia-Gutierrez; Carlota Las Hayas; Jose Maria Quintana
Journal:  Aging Clin Exp Res       Date:  2017-08-02       Impact factor: 3.636

3.  Outpatient follow-up visit and 30-day emergency department visit and readmission in patients hospitalized for chronic obstructive pulmonary disease.

Authors:  Gulshan Sharma; Yong-Fang Kuo; Jean L Freeman; Dong D Zhang; James S Goodwin
Journal:  Arch Intern Med       Date:  2010-10-11

4.  Is the CAT questionnaire sensitive to changes in health status in patients with severe COPD exacerbations?

Authors:  Alvar Agustí; Juan J Soler; Jesús Molina; María José Muñoz; Manuel García-Losa; Montserrat Roset; Paul W Jones; Xavier Badia
Journal:  COPD       Date:  2012-09-07       Impact factor: 2.409

Review 5.  Risk factors of hospitalization and readmission of patients with COPD exacerbation--systematic review.

Authors:  Katayoon Bahadori; J Mark FitzGerald
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2007

6.  Posthospital follow-up visits and 30-day readmission rates in chronic obstructive pulmonary disease.

Authors:  Salman S Fidahussein; Ivana T Croghan; Stephen S Cha; David L Klocke
Journal:  Risk Manag Healthc Policy       Date:  2014-05-28
  6 in total

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