Literature DB >> 33619200

Impairment in activities of daily living and readmission in older patients with heart failure: a cohort study.

Tan Van Nguyen1,2, Huyen Thanh Dang1,3, Mason Jenner Burns4, Hiep Hh Dao4, Tu Ngoc Nguyen5.   

Abstract

OBJECTIVES: This study aims to investigate the prevalence of impairment of activities of daily living (ADLs) in older patients with heart failure (HF), and to examine the impact of ADL impairment on readmission after discharge. DESIGN AND SETTINGS: A prospective cohort study was conducted in patients aged ≥65 years with HF admitted to a tertiary hospital in Vietnam from August 2016 to June 2017. Difficulties with six ADLs were assessed by a questionnaire. Participants were classified into two categories (with and without ADL impairment). The associations of ADL impairment with 3-month readmission were examined using logistic regression models.
RESULTS: There were 180 participants (mean age 80.6±8.2, 50% female) and 26.1% were classified as having ADL impairment. The most common impaired activity was bathing (21.1%), followed by transferring (20.0%), toileting (12.2%), dressing (8.9%), eating (3.3%), and continence (2.8%). During 3-month follow-up, 32.8% of the participants were readmitted to hospitals (55.3% in participants with ADL impairment, 24.8% in those without ADL impairment, p<0.001). ADL impairment significantly increased the risk of 3-month readmission (adjusted OR 2.75, 95% CI 1.25 to 6.05, p=0.01).
CONCLUSIONS: In summary, ADL impairment was common in older hospitalised patients with HF and was associated with increased readmission. These findings suggest further studies on ADL assessment and intervention during transition care for older patients with HF after discharge to prevent readmission. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  geriatric medicine; heart failure; rehabilitation medicine

Year:  2021        PMID: 33619200      PMCID: PMC7903094          DOI: 10.1136/bmjopen-2020-044416

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the first study of activities of daily living impairment in older hospitalised patients with heart failure in Vietnam. This study adds to the evidence of this topic in Asian population. This study was conducted in elderly patients at only one hospital, which may not be representative for all older patients with HF in Vietnam. We focused on all-cause admission as it was difficult to obtain reasons for readmission from elderly patients via phone calls.

Introduction

Heart failure (HF) is a complex chronic syndrome and a leading cause of morbidity, mortality and hospitalisation in older people worldwide.1 The management of HF in older people is complex as it often coexists with cognitive impairment, polypharmacy, frailty and significant decrease in functional capacity. The decreased functional capacity, high rate of comorbidities and generally poor prognosis all contribute to the impairment of activities of daily living (ADLs) in 22%–44% of patients at the time of diagnosis of HF.1 In older patients with HF, the presence of ADL impairment was shown to be associated with increased risk of rehospitalisation.2–4 The prevalence of HF in Western countries has been known to be increasing for some time, and recent statistics from Southeast Asian countries have shown similar increasing trends.5 6 Prevalence of HF in older people was 10%–12% and accounted for 15% of all hospital admissions in Vietnam, which represents a huge economic burden.7 8 Although there have been advances in the treatment, HF still carries a poor prognosis with a 30-day readmission rate of 8% in Vietnam.7 However, there is limited evidence on ADL impairment in older hospitalised patients with HF in Vietnam. It is important to understand the prevalence of ADL impairment and its impact on outcomes in older patients with HF to help guide management of this complex disease to improve both quality of life and survivability. Therefore, this study aims to investigate the prevalence of ADL impairment in older hospitalised patients with HF in Vietnam, and to examine the impact of ADL impairment on readmission after discharge.

Methods

Participants

A prospective cohort study was conducted in patients aged 65 years or older with chronic HF admitted to Thong Nhat Hospital in Ho Chi Minh City (Cardiology Department and Interventional Cardiology Department) from August 2016 to June 2017. Patients who were 65 years or older and diagnosed with chronic HF were included. HF were defined based on clinical notes of HF diagnoses in patients’ medical records. Consecutive patients with HF admitted to the study wards during the study period were invited to participate in the study. Patients were excluded if they were dying, receiving intensive care, having newly diagnosed acute HF or were unable to provide consent. Oral informed consent was obtained from all participants. Patient and public involvement: patients or the public were not involved in the design, or conduct, or reporting or dissemination plans of our research.

Sample size calculation

Sample size was calculated for the first aim of this study (to identify the prevalence of ADL impairment in older patients with HF). The sample size was determined using a single population proportion formula: n = Z21- α/2 * [p*(1 - p)/d2], with n = the required sample size, Z1- α/2 = 1.96 (with α = 0.05 and 95% confidence interval), p = prevalence of ADL impairment in older patients with HF, and d = precision (assumed as 7%). We used the study conducted by Skalska et al in 2014 as reference.9 In this study, Skalska et al found that ADL impairment was present in 32.9% in patients aged 65 years or older with HF.9 Therefore, the sample size for this study was estimated to be at least 173 participants.

Data collection

Data was collected from patient interviews and medical records. Information obtained from medical records included: demographic characteristics, medical history, comorbidities, reasons for admission, blood pressure measurements, blood test results and echocardiography. All participants were followed up for 3 months after discharge. Participants were contacted via telephone calls (to the phone numbers provided) to obtain information about their readmission. Readmission was defined as any readmission during the 3-month period after discharge and was treated as a binary variable (yes/no). Details of reasons for readmission and date of readmission were not obtained.

ADL impairment definition

The ADLs include six activities that are fundamental for independent life at home: bathing, using the toilet, transferring, dressing, eating and continence.10 11 Participants were asked to identify whether they have any difficulty performing these activities on their own. The response options were binary (Yes/No). ADL impairment was defined as having difficulty in performing at least one of the above activities.

Covariates

Coronary heart disease, stroke, dyslipidaemia, peripheral vascular disease, diabetes mellitus and chronic obstructive pulmonary disease were identified based on documented information from participants’ medical records. Hypertension was defined as systolic blood pressure >140 mm Hg, diastolic blood pressure >90 mm Hg, or current use of antihypertensive medications. Estimated glomerular filtration rate (eGFR) was calculated from the serum creatinine level at baseline. Chronic kidney disease (CKD) was defined as an eGFR of less than 60 mL/min. Anaemia was defined as serum haemoglobin <12 g/dL in women or <13 g/dL in men. Resting left ventricular ejection fraction (EF) was documented from transthoracic echocardiograms performed during hospitalisation and preserved EF was defined as EF ≥50%.

Statistical analysis

Analysis of the data was performed using SPSS for Windows V.24.0 (IBM Corp.). Continuous variables are presented as means±SD, and categorical variables as frequencies and percentages. Comparisons between groups (participants with and without ADL impairment, male and female) were assessed using the χ2 test or Fisher’s exact test for categorical variables and Student’s t-test or Mann-Whitney test for continuous variables. To investigate the impact of ADL impairment on readmission, we first conducted univariate logistic regression of ADL impairment on 3-month readmission. We also performed univariate logistic regression of other factors that can be associated with 3-month readmission. The relationship between ADL impairment with readmission was then examined by multivariate logistic regression, adjusting to age, sex and those variables that had a p value <0.05 on univariate analyses. All variables were examined for interaction and multicollinearity. Results were presented as odds ratios (ORs) and 95% confidence intervals (CIs).

Results

There were 180 participants. Their mean age was 80.6±8.2, 50% were women, and 26.1% were classified as having ADL impairment. The most common comorbidity was hypertension (88.9%), followed by coronary heart disease (78.3%), anaemia (72.8%) and type 2 diabetes (30.6%). A history of hospitalisation in the past year was present in 66.1% of the participants. Overall, participants with ADL impairment were significantly older, had higher rate of hospitalisation in the past year, and higher prevalence of stroke (table 1).
Table 1

Participant characteristics

CharacteristicsAll (N=180)Participants with ADL impairment (N=47)Participants without ADL impairment (N=133)P value
Age, years80.6±8.283.2±9.279.7±7.70.01
Female90 (50)25 (53.1)65 (48.8)0.61
Reasons for this admission:
 Shortness of breath140 (77.8)38 (80.9)102 (76.7)0.56
 Fatigue22 (12.2)4 (8.5)18 (13.5)0.45
 Chest pain14 (7.8)4 (8.5)10 (7.5)0.76
 Other4 (2.2)1 (2.1)3 (2.3)1.0
NYHA classification:
 II27 (15.0)1 (2.1)26 (19.5)<0.001
 III139 (77.2)37 (78.7)102 (76.7)
 IV14 (7.8)9 (19.1)5 (3.8)
EF %41.9±10.240.64±10.442.3±10.10.35
Preserved EF (EF ≥50%)40 (22.2)11 (23.4)29 (21.8)0.82
Duration of hospitalisation, days16.3±42.710.7±5.812.8±7.40.06
History of hospitalisation in the past year119 (66.1)43 (91.5)76 (57.1)<0.001
Comorbidities:
 Hypertension160 (88.9)38 (80.9)122 (91.7)0.04
 Coronary heart disease141 (78.3)40 (85.1)101 (75.9)0.19
 Anaemia131 (72.8)35 (74.5)96 (72.2)0.76
 Diabetes55 (30.6)13 (27.7)42 (31.6)0.61
 Chronic kidney disease37 (20.6)13 (27.7)24 (18.0)0.16
 Dyslipidaemia36 (20)5 (10.6)31 (23.3)0.07
 Stroke28 (15.6)17 (36.2)11 (8.3)<0.001
 COPD15 (8.3)6 (12.8)9 (6.8)0.20
 Peripheral vascular disease15 (8.3)3 (6.4)12 (9.0)0.57
Total number of comorbidities4.51±1.144.83±1.154.39±1.120.02

Continuous data are presented as mean±SD; categorical data are shown as n (%)

ADL, activities of daily living; COPD, chronic obstructive pulmonary disease; EF, ejection fraction; NYHA, New York Heart Association.

Participant characteristics Continuous data are presented as mean±SD; categorical data are shown as n (%) ADL, activities of daily living; COPD, chronic obstructive pulmonary disease; EF, ejection fraction; NYHA, New York Heart Association. The prevalence of impairment in each domains of ADLs among 180 participants is presented in figure 1. The activity that was most commonly impaired was bathing (21.1%), followed by transferring (20.0%), toileting (12.2%), dressing (8.9%), eating (3.3%) and continence (2.8%). There was no significant difference between men and women.
Figure 1

Prevalence of impairment in activities of daily living among older patients with HF.

Prevalence of impairment in activities of daily living among older patients with HF. During the 3-month follow-up, 32.8% (59/180) of the participants were readmitted to hospitals (55.3% in participants with ADL impairment, 24.8% in those without ADL impairment, p<0.001). On univariate logistic regression, ADL impairment was significantly associated with increased likelihood of readmission (unadjusted OR 3.75, 95% CI 1.87 to 7.53). This association was examined further in multivariate logistic regression, adjusted to age, sex and the variables that had significant relationship with readmission on univariate analyses (table 2). After adjusting to age, sex, history of hospitalisation in the past year, total number of comorbidities, anaemia and CKD, the impact of ADL impairment on 3-month readmission was still significant (adjusted OR 2.75, 95% CI 1.25 to 6.05, p=0.01).
Table 2

Univariate analysis of potential predictor factors for 3-month readmission

FactorsUnadjusted OR (95% CI)P value
ADL impairment3.75 (1.87 to 7.53)<0.001
Bathing impairment3.90 (1.85 to 8.22)<0.001
Transferring impairment2.17 (1.03 to 4.58)0.04
Toileting impairment1.85 (0.75 to 4.58)0.18
Dressing impairment1.26 (0.43 to 3.64)0.67
Eating impairment1.03 (0.18 to 5.77)0.98
Incontinence1.38 (0.22 to 8.49)0.73
Age1.04 (1.00 to 1.08)0.06
Female1.05 (0.56 to 1.96)0.87
Total number of comorbidities1.68 (1.25 to 2.26)0.001
History of hospitalisation in the past year3.07 (1.45 to 6.50)0.003
Anaemia2.74 (1.23 to 6.13)0.01
Hypertension3.05 (0.86 to 10.86)0.09
Coronary heart disease1.31 (0.60 to 2.87)0.49
Diabetes1.26 (0.65 to 2.46)0.50
Chronic kidney disease3.63 (1.72 to 7.67)0.001
Stroke1.68 (0.74 to 3.82)0.22
Dyslipidaemia0.91 (0.41 to 2.01)0.81
Peripheral vascular disease1.03 (0.34 to 3.16)0.96
Chronic obstructive pulmonary disease1.03 (0.34 to 3.16)0.96

ADL, activities of daily living.

Univariate analysis of potential predictor factors for 3-month readmission ADL, activities of daily living. Among the ADL domains, only bathing impairment and transferring impairment were significantly associated with 3-month readmission on univariate analyses (figure 2). After adjusting to age, sex, history of hospitalisation in the past year, total number of comorbidities, anaemia and CKD, only bathing impairment remained significantly associated with increased risk of 3-month readmission (adjusted OR 2.71, 95% CI 1.18 to 6.25, p=0.02).
Figure 2

Unadjusted ORs (95% CI) of ADL items on 3-month readmission.

Unadjusted ORs (95% CI) of ADL items on 3-month readmission.

Discussion

In this study in 180 older patients with HF, we found that more than 26% of the participants had ADL impairment and it increased the likelihood of 3-month readmission to hospitals by approximately three times. Our findings are compatible with some previous studies in other countries. In a study conducted by Skalska et al in Poland in 4795 older patients hospitalised with HF (mean age 73.8±6.5), 32.9% of the participants had ADL impairment.9 In another study in 581 patients aged 75 years or older and hospitalised due to HF in Spain, 50% of the participants had ADL impairment.12 In studies in community settings, the prevalence of ADL impairment in older patients with HF was lower, from 11% to 17% in studies from the USA.13 14 We also found that among the ADL domains, bathing and transferring were the most common impaired activities, and only bathing impairment was independently associated with significantly higher risk of readmission. The significance of bathing disability over other essential ADL domains was consistent with previous findings, in which ADLs impairment tend to proceed in a hierarchical pattern.9 15 16 Although bathing disability is generally not preceded by any other impairments, it serves as one of the crucial stages within the disability cascade, predisposing the patients to reduced function across other essential ADL domains and increasing requirement for prolonged care services.15 17 The development of bathing function is multifactorial, attributable to both endogenous and environmental risk factors. As HF is known to alter the functionality of contractile units in skeletal muscle, it is common for patients with this chronic condition to suffer from muscle weakness, thus impairing their physical activity level and ability to maintain balance.18 Such limitations were significant predisposing factors and were found to increase the risk of persistent bathing and transferring disability.19 20 In addition, the likelihood of bathing impairment is further exacerbated by prolonged hospitalisation,20 which often happened in patients with HF. In fact, in this study, two-thirds of the participants had a history of hospitalisation in the past 12 months. Older hospitalised patients are usually at increased risk of functional impairment due to immobility and the impacts of malnutrition, comorbidities and polypharmacy. As current practice focuses on disease-based models of care, more attention should be given to other aspects of health in older patients such as functional activities. A thorough posthospitalisation care plan coupled with an exercise regime could be a viable strategy to circumvent the burden of bathing and other ADL disability in patients with HF. Environmental modification and intervention such as installation of bath aids (including shower seat, grab bars, etc.) could be considered to help improving ADL functions in older patients.21 This study has several limitations. It was conducted on elderly patients at only one hospital, which may not be representative for all older patients with HF in Vietnam. In addition, compliance to medications for HF treatment, which may have an impact on readmission rate, was not evaluated in the participants during the follow-up time. Readmission information was obtained by conducting phone calls to participants and details of reasons for readmission could not fully achieved from the elderly participants. However, to our best knowledge, this is the first study examining the prevalence of ADL impairment and its negative impact on readmission in older hospitalised patients with HF in Vietnam. The evidence from this study suggests that routine assessment of ADLs should be performed in older hospitalised patients with HF. Further studies are needed to evaluate the effectiveness of interventions in improving ADL functions in older patients with HF to prevent adverse outcomes in this population.

Conclusion

In summary, in this study, we found that ADL impairment was common in older hospitalised patients with HF and was associated with increased readmission. These findings suggest further studies on ADL assessment and intervention during transition care for older patients with HF after discharge.
  21 in total

Review 1.  2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Monica M Colvin; Mark H Drazner; Gerasimos S Filippatos; Gregg C Fonarow; Michael M Givertz; Steven M Hollenberg; JoAnn Lindenfeld; Frederick A Masoudi; Patrick E McBride; Pamela N Peterson; Lynne Warner Stevenson; Cheryl Westlake
Journal:  J Card Fail       Date:  2017-04-28       Impact factor: 5.712

2.  Bathing disability and the risk of long-term admission to a nursing home.

Authors:  Thomas M Gill; Heather G Allore; Ling Han
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2006-08       Impact factor: 6.053

Review 3.  Heart Failure in Older Adults.

Authors:  Hoda Butrous; Scott L Hummel
Journal:  Can J Cardiol       Date:  2016-05-10       Impact factor: 5.223

4.  The epidemiology of bathing disability in older persons.

Authors:  Thomas M Gill; Zhenchao Guo; Heather G Allore
Journal:  J Am Geriatr Soc       Date:  2006-10       Impact factor: 5.562

5.  Bathing disability in community-living older persons: common, consequential, and complex.

Authors:  Aanand D Naik; John Concato; Thomas M Gill
Journal:  J Am Geriatr Soc       Date:  2004-11       Impact factor: 5.562

6.  Degree of disability and patterns of caregiving among older Americans with congestive heart failure.

Authors:  Tanya Ruff Gure; Mohammed U Kabeto; Caroline S Blaum; Kenneth M Langa
Journal:  J Gen Intern Med       Date:  2007-11-21       Impact factor: 5.128

7.  Bath aids and the subsequent development of bathing disability in community-living older persons.

Authors:  Thomas M Gill; Ling Han; Heather G Allore
Journal:  J Am Geriatr Soc       Date:  2007-10-03       Impact factor: 5.562

8.  Predisposing factors and precipitants for bathing disability in older persons.

Authors:  Thomas M Gill; Ling Han; Heather G Allore
Journal:  J Am Geriatr Soc       Date:  2007-04       Impact factor: 5.562

Review 9.  Heart failure across Asia: Same healthcare burden but differences in organization of care.

Authors:  Eugenio B Reyes; Jong-Won Ha; Isman Firdaus; Azmee Mohd Ghazi; Arintaya Phrommintikul; David Sim; Quynh Nga Vu; Chung Wah Siu; Wei-Hsian Yin; Martin R Cowie
Journal:  Int J Cardiol       Date:  2016-08-01       Impact factor: 4.164

10.  Mechanisms underlying skeletal muscle weakness in human heart failure: alterations in single fiber myosin protein content and function.

Authors:  Mark S Miller; Peter Vanburen; Martin M Lewinter; Stewart H Lecker; Donald E Selby; Bradley M Palmer; David W Maughan; Philip A Ades; Michael J Toth
Journal:  Circ Heart Fail       Date:  2009-09-24       Impact factor: 8.790

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  1 in total

1.  The Prevalence of Activities of Daily Living Impairment in Patients With Heart Failure: A Systematic Review and Meta-Analysis.

Authors:  Jing Lu; Meng Wang; Yue Zhang; Lifen Mao; Xiaoxiao Chen; Rulan Yin; Xiaoqing Shi
Journal:  Front Cardiovasc Med       Date:  2022-07-14
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