Quality of Life in a mixed ethnic population after myocardial infarction

Webster, Reginald P.; Thompson, David R.; Larkin, Derek; Mayou, Richard; Martin, Colin R.

doi:10.5750/ejpch.v5i3.1298

Cited by 3 publications

(3 citation statements)

References 33 publications

(35 reference statements)

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“…Following MI, patients frequently report poor health related quality of life (HRQoL), which may not recover [ 5 ], and is independently associated with higher rates of death at 1 year [ 6 , 7 ]. Poor HRQoL is more commonly reported among women [ 8 , 9 ], older people with frailty [ 5 , 10 ], non-white ethnicity [ 11 ], and in those that experience bleeding complications relating to dual anti-platelet therapy [ 12 ]. Several previous studies have looked at individual chronic health conditions and their impact on health-related quality of life in MI survivors.…”

Section: Introductionmentioning

confidence: 99%

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

Munyombwe

Dondo

Aktaa

et al. 2021

BMC Med

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Background Multimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL. Methods In this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis. Results Of 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: −5.12 [95% CI −7.04 to −3.19] and −0.98 [−1.93 to −0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74). Conclusions Among MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors. Trial registration ClinicalTrials.gov NCT01808027 and NCT01819103

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Section: Introductionmentioning

confidence: 99%

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

Munyombwe

Dondo

Aktaa

et al. 2021

BMC Med

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“…M. Dempster and Donnelly (2000) reported there are increasing of correlations between the MacNew scales and relevant scales on the SF-36 in term of grouping items grouping when compared to the grouping of items suggested by Valenti, Lim, Heller, and Knapp (1996). As a result, the MacNew questionnaire is a reliable and valid method of assessing changes in Whereas in the Asian countries, the result showed majority of the population are men and older than 60 or elderly whereas women the most suffer that can be viewed by the score of HRQOL (Henriksson et al, 2014;Mollon & Bhattacharjee, 2017;Rančić et al, 2013;Tegn et al, 2018;Webster, Thompson, Larkin, Mayou, & Martin, 2017). Even though, on those studies reported that average total sample of the patients is under 55 age years old.…”

Section: Disease Specific Instrumentmentioning

confidence: 99%

“…In addition, most of them suffer with symptom of pain or discomfort while many comorbidities give more burden of patients such as diabetes mellitus and prior cardiac event or other cardiac disease. On some longitudinal studies, the HRQOL increased and mental domain or depression decreased (Le, Dorstyn, Mpfou, Prior, & Tully, 2018;Webster et al, 2017).…”

Section: Disease Specific Instrumentmentioning

confidence: 99%

Factors related to health-related quality of life in patients with acute coronary syndrome in west java, Indonesia

Imam¹

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This descriptive study aimed to examine the relationship between age, self-efficacy, functional status, pain, dyspnea, social support, and health-related quality of life in patients with acute coronary syndrome in west java, Indonesia. The participants were 186 patients who has acute coronary syndrome or history of acute coronary syndrome visited cardiovascular outpatient clinic in the main national public hospital type A in west java province, Indonesia. The instruments used for data collection were Demographic Questionnaire, General Self-efficacy Scale, Seattle Angina Questionnaire, Rose Questionnaire for Angina, Rose Dyspnea Questionnaire, ENRICH Social Support, and MacNew Health Related Quality of life. These instruments were tested for their content validity by a panel of experts. Internal consistency reliability for each questionnaire tested by Cronbach’s alpha were 0.67 for ESSI and 0.91 for MacNew health-related quality of life. Data were analyzed using descriptive statistic and Spearman-rank correlation. The study findings revealed that: 1. The mean score of health-related quality of life in patients with acute coronary syndrome was 4.98 (SD = 0.98). 2. Self-efficacy, functional status, pain, and social support were positively significant correlated to health-related quality of life in patients with acute coronary syndrome (r = 0.299, r=0.601, r=0.296, p<0.01) and (r=0.186, p<0.05) respectively. 3. Dyspnea was negatively significant correlated to health-related quality of life in patients with acute coronary syndrome (r = -0.438, p<0.01). 4. Age was not correlated to health-related quality of life in patients with acute coronary syndrome (r = 0.081, p = 0.270).

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Quality of life of patients with first-time AMI: a descriptive study

Bahall

Khan

2018

Health Qual Life Outcomes

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BackgroundOutcomes following acute myocardial infarction (AMI) may result in death, increased morbidity, and change in quality of life (QOL). This study explores health-related QOL of first-time patients following AMI.MethodsThis cross-sectional study used a sample of patients with first-time AMI experienced between April 2011 and March 2015 at a tertiary health institution. Recruited patients belonged to different post-AMI periods: 2–10 weeks, 5–22 months, and > 22 months to 4 years post AMI. Inclusion criteria were not confused and communicating freely. Exclusion criteria were non-contactable, refusing to participate, and deceased. One-on-one interviews were conducted using the validated and pre-tested Quality of Life after Myocardial Infarction (QLMI) questionnaire. QOL of patients after AMI was evaluated at each period. Descriptive, Mann–Whitney U, Kruskal–Wallis, and regression analyses were conducted using SPSS version 24.ResultsA total of 534 participant interviews (overall response rate 65.4%) were conducted. Interviewees were predominantly male (67%), aged 51–65 years (45%), Indo-Trinidadian (81.2%), NSTEMI (64.4%), and hypertensive (72.4%). Overall QOL improved over time and in all domains: Emotional, Physical, and Social. Lower QOL was found among women, patients with NSTEMI, and diabetics in all domains; in patients with hypertension and renal disease in the Physical and Social domains only; and in patients with ischaemic heart disease (IHD) in the Physical domain only. Self-reported stress and lack of exercise were associated with lower QOL while drinking alcohol and eating out were related to better QOL. Hypercholesterolemia, smoking, and ethnicity showed no association with QOL. Declining QOL in the Physical domain with age was also found. The leading components of QOL were self-confidence and social exclusion (early post AMI), lack of self-confidence (intermediate post AMI), and tearfulness (late post AMI).ConclusionsQOL in AMI survivors improves over time. Female gender, NSTEMI, diabetes, hypertension, renal disease, stress, and lack of exercise were associated with lower QOL while hypercholesterolemia, smoking, and ethnicity showed no association with QOL. Cardiac rehabilitation and psychological support may enhance earlier increased QOL among survivors, particularly among vulnerable groups.

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Quality of Life in a mixed ethnic population after myocardial infarction

Cited by 3 publications

References 33 publications

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

Factors related to health-related quality of life in patients with acute coronary syndrome in west java, Indonesia

Quality of life of patients with first-time AMI: a descriptive study

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