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. 2023 Jan-Dec:20:14799731231211852.
doi: 10.1177/14799731231211852.

Characterising hospitalisation risk for chronic obstructive pulmonary disease exacerbations: Bedside and outpatient clinic assessments of easily measured variables

Joshua Heerema  1 , Sarah Hug  2   3 , Natasha Bear  4 , Kylie Hill  2
Affiliations

Characterising hospitalisation risk for chronic obstructive pulmonary disease exacerbations: Bedside and outpatient clinic assessments of easily measured variables

Joshua Heerema et al. Chron Respir Dis. 2023 Jan-Dec.

Abstract

Objective: To identify the characteristics of people with chronic obstructive pulmonary disease (COPD) who require hospitalisation for exacerbations.

Methods: People with COPD were recruited either during hospitalisation or from out-patient respiratory medicine clinics. Hospital admissions were tracked throughout the 5-months recruitment period. For participants who were admitted, hospital readmissions were tracked for at least 30 days following discharge. Participants were grouped as either needing; (i) no hospital admission during the study period (no admission; ø-A), (ii) one or more hospital admissions during the study period but no readmission within 30 days of discharge (no rapid readmission; ø-RR) or (iii) one or more hospital admissions with a readmission within 30 days of discharge (rapid readmission; RR).

Results: Compared with the ø-A group (n=211), factors that independently increased the risk of ø-RR (n=146) and/or RR (n=57) group membership were being aged >60 years, identifying as an Indigenous person (relative risk ratio, 95% confidence interval 7.8 [1.8 to 34.0]) and the use of a support person or community service for activities of daily living (1.5 [1.0 to 2.4]. A body mass index ≥25 kg/m2 was protective.

Conclusions: Variables recorded at the bedside or in clinic provided information on hospitalisation risk.

Keywords: Chronic obstructive pulmonary disease; exacerbation; hospitalisation; risk.

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Conflict of interest statement

Declaration of conflicting interestsJoshua Heerema, Sarah Hug, and Kylie Hill have no competing interests to declare. Natasha Bear was paid to undertake the statistical analyses presented in this manuscript.

Figures

Figure 1.
Figure 1.
Flow of participants into the study.
See this image and copyright information in PMC

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