8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Patterns, Trajectories, and Predictors of Functional Decline after Hospitalization for Acute Exacerbations in Men with Moderate to Severe Chronic Obstructive Pulmonary Disease: A Longitudinal Study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Hospitalization for acute exacerbations (AE) of chronic obstructive pulmonary disease (COPD) is common, but little is known about the impact of hospitalization on the development of disability. The purpose of this study was to determine the rate and time course of functional changes 3 months after hospital discharge for AE-COPD compared with baseline levels 2 weeks before admission, and to identify predictors of functional decline.

          Methods

          This was a prospective study including 103 patients (age mean, 71 years; standard deviation, 9.1 years) who were hospitalized with AE-COPD. Number of dependencies in Activities of Daily Living (ADLs) was measured at the preadmission baseline and at weeks 6 and 12 after discharge. Patterns of improvement, no change, and decline were defined over 3 consecutive intervals (baseline and weeks 6 and 12). Trajectories grouped patients with similar time courses of disability. Recovery was defined as returning to baseline function after functional decline. Univariate and multivariate multiple logistic regression was used to determine predictors of functional decline after week 12.

          Results

          Six trajectories of functional changes were found. From baseline to 12 weeks, 50% of patients continued to have the same function whereas 31% experienced functional decline after 6 weeks; 16.7% recovered over subsequent weeks. At week 12, as a consequence of all trajectories, 38% of patients showed functional declines compared with baseline function, 57% had not declined, and 6 improved. Length of stay (odds ratio [OR] = 1.12;95% [confidence interval] CI 1.03–1.22), dyspnea (OR = 1.85; 95% CI 1.05–3.26), and frailty (OR = 3.97; 95% CI 1.13–13.92) were independent predictors of functional decline after 12 weeks.

          Conclusions

          Hospitalization for AE-COPD is a risk factor for the progression of disability. More than one third of patients hospitalized for AE-COPD declined during the 12 weeks following discharge, with most of this decline occurring by week 6.

          Related collections

          Most cited references11

          • Record: found
          • Abstract: found
          • Article: not found

          The development of a comorbidity index with physical function as the outcome.

          Physical function is an important measure of success of many medical and surgical interventions. Ability to adjust for comorbid disease is essential in health services research and epidemiologic studies. Current indices have primarily been developed with mortality as the outcome, and are not sensitive enough when the outcome is physical function. The objective of this study was to develop a self-administered Functional Comorbidity Index with physical function as the outcome. The index was developed using two databases: a cross-sectional, simple random sample of 9,423 Canadian adults and a sample of 28,349 US adults seeking treatment for spine ailments. The primary outcome measure was the SF-36 physical function (PF) subscale. The Functional Comorbidity Index, an 18-item list of diagnoses, showed stronger association with physical function (model R(2) = 0.29) compared with the Charlson (model R(2) = 0.18), and Kaplan-Feinstein (model R(2) = 0.07) indices. The Functional Comorbidity Index correctly classified patients into high and low function, in 77% of cases. This new index contains diagnoses such as arthritis not found on indices used to predict mortality, and the FCI explained more variance in PF scores compared to indices designed to predict mortality.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The minimal detectable change cannot reliably replace the minimal important difference.

            We compared the minimal important difference (MID) with the minimal detectable change (MDC) generated by distribution-based methods. Studies of two quality-of-life instruments (Chronic Respiratory Questionnaire [CRQ] and Rhinoconjunctivitis Quality of Life Questionnaire [RQLQ]) and two physician-rated disease-activity indices (Pediatric Ulcerative Colitis Activity Index [PUCAI] and Pediatric Crohn's Disease Activity Index [PCDAI]) provided longitudinal data. The MID values were calculated from global ratings of change (small change for CRQ and RQLQ; moderate for PUCAI and PCDAI) using receiver-operating characteristic (ROC) curve and mean change. Results were compared with five distribution-based strategies. Of the methods used to calculate the MDC, the 95% limits of agreement and the reliable change index yielded the largest estimates. In the patient-rated psychometric instruments, 0.5 SD was always greater than 1 standard error of measurements (SEM), and both fell between the mean change and the ROC estimates, on two of four occasions. The reliable change index came closest to MID of moderate change. For patient-rated psychometric instruments, 0.5 SD and 1 SEM provide values closest to the anchor-based estimates of MID derived from small change, and the reliable change index for physician-rated clinimetric indices based on moderate change. Lack of consistency across measures suggests that distribution-based approaches should act only as temporary substitutes, pending availability of empirically established anchor-based MID values.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The assessment of frailty in older people in acute care.

              Develop a measure of frailty for older acute inpatients to be performed by non-geriatricians. The Reported Edmonton Frail Scale (REFS) was adapted from the Edmonton Frail Scale for use with Australian acute inpatients. With acute patients aged over 70 years admitted to an Australian teaching hospital, we validated REFS against the Geriatrician's Clinical Impression of Frailty (GCIF), measures of cognition, comorbidity and function, and assessed inter-rater reliability. REFS was moderately correlated with GCIF (n = 105, R = 0.61, P < 0.01), Mini-Mental State Examination impairment (n = 61, R = 0.49, P < 0.001), Charlson Comorbidity Index (n = 59, R = 0.51, P < 0.001) and Katz Daily Living Scale (n = 59, R = 0.51, P < 0.001). Inter-rater reliability of REFS administered by two researchers without medical training was excellent (kappa = 0.84, n = 31). In this cohort of older acute inpatients, REFS is a valid, reliable test of frailty, and may be a valuable research tool to assess the impact of frailty on prognosis and response to therapy.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 June 2016
                2016
                : 11
                : 6
                : e0157377
                Affiliations
                [1 ]Department of Physical Therapy, Universidad of Murcia, Murcia, Spain
                [2 ]Division of Pneumology, Hospital Morales Meseguer, Murcia, Spain
                [3 ]Department of Physical Therapy, EUSES University of Girona, Girona, Spain
                University of Athens, GREECE
                Author notes

                Competing Interests: The corresponding author, on behalf of all authors, hereby declares and states the absence of any eventual or potential competing interest (neither financial nor nonfinancial). Subsequently, there are no restrictions or sources of altering their adherence to PLOS ONE policies on sharing data or materials. On another note, none of the authors have served or currently serve on the editorial board of the journal; none of them have acted as an expert witness in relevant legal proceedings either, and none of the authors sit on a committee for any organization that may benefit from publication of the paper submitted.

                Conceived and designed the experiments: FMM RBM GGG EVN MGS JAGV. Performed the experiments: FMM RBM GGG. Analyzed the data: FMM RBM GGG. Contributed reagents/materials/analysis tools: FMM RBM GGG EVN MGS JAGV. Wrote the paper: FMM RBM GGG EVN. Designed the software used in analysis: FMM RBM GGG.

                Article
                PONE-D-16-10891
                10.1371/journal.pone.0157377
                4907520
                27300577
                7e490c2e-a5db-4fff-8f2e-e2a6f9b8493a
                © 2016 Medina-Mirapeix et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 March 2016
                : 28 May 2016
                Page count
                Figures: 1, Tables: 3, Pages: 11
                Funding
                Funded by: AstraZeneca España
                Funded by: Menarini
                Funded by: funder-id http://dx.doi.org/10.13039/100008648, Pfizer Foundation;
                The corresponding author hereby declares that the study was supported by AstraZeneca, Menarini and Pfizer. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Pulmonology
                Chronic Obstructive Pulmonary Disease
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Medicine and Health Sciences
                Pulmonology
                Dyspnea
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Hospitalizations
                People and Places
                Demography
                Death Rates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Social Sciences
                Sociology
                Education
                Educational Attainment
                Medicine and Health Sciences
                Pharmacology
                Drug Research and Development
                Medicine and Health Sciences
                Geriatrics
                Frailty
                Custom metadata
                Data may compromise the privacy of study participants and may not be shared publicly. Data are available upon request to the authors.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article