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Self-reported sleep quality and depression in post myocardial infarction patients attending cardiology outpatient clinics in Oman.

ABSTRACT: Objective:This study aimed to examine the sleep quality and prevalence of depression in post myocardial infarction patients attending cardiology outpatient clinics of selected hospitals in Oman. Methods:A descriptive cross-sectional design was used to collect data from patients (n = 180) who were at least 4 weeks post myocardial infarction diagnosis and receiving follow-up care in the outpatient clinic. The Arabic version of the Pittsburgh Sleep Quality Index and Patient Health Questionnaire-9 were used to assess sleep quality and depressive symptoms, respectively. Results:The sample mean age was 62.0 ± 11.3 years. Poor sleep quality affected 61.1% of the participants. The significant predictors of poor sleep quality were gender (P ≤ 0.05), body mass index (P ≤ 0.05), and self-reported regular exercise (P ≤ 0.01). The most impacted domains of sleep quality were sleep latency, sleep duration, and sleep disturbances. The prevalence of major depression was low (5%) and the rate of re-infarction was 27.2%. The prevalence of minimal to mild major depression with a potential of transitioning into major depression overtime was very high. Self-reported regular exercise (P ≤ 0.01) was the only significant predictor of depressive symptoms. Conclusion:The sleep quality of post myocardial infarction patients was poor and the prevalence of depression was low. There was no significant relationship between sleep quality or depression with re-infarction.

SUBMITTER: Almamari RSS

PROVIDER: S-EPMC6838964 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Self-reported sleep quality and depression in post myocardial infarction patients attending cardiology outpatient clinics in Oman.

Almamari Rashid Said Saif RSS Muliira Joshua Kanaabi JK Lazarus Eilean Rathinasamy ER

International journal of nursing sciences 20190621 4

<h4>Objective</h4>This study aimed to examine the sleep quality and prevalence of depression in post myocardial infarction patients attending cardiology outpatient clinics of selected hospitals in Oman.<h4>Methods</h4>A descriptive cross-sectional design was used to collect data from patients (<i>n</i> = 180) who were at least 4 weeks post myocardial infarction diagnosis and receiving follow-up care in the outpatient clinic. The Arabic version of the Pittsburgh Sleep Quality Index and Patient He ...[more]

PMID: 31728388

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Project description:BackgroundObservational studies suggest associations between extremes of sleep duration and myocardial infarction (MI), but the causal contribution of sleep to MI and its potential to mitigate genetic predisposition to coronary disease is unclear.ObjectivesThis study sought to investigate associations between sleep duration and incident MI, accounting for joint effects with other sleep traits and genetic risk of coronary artery disease, and to assess causality using Mendelian randomization (MR).MethodsIn 461,347 UK Biobank (UKB) participants free of relevant cardiovascular disease, the authors estimated multivariable adjusted hazard ratios (HR) for MI (5,128 incident cases) across habitual self-reported short (<6 h) and long (>9 h) sleep duration, and examined joint effects with sleep disturbance traits and a coronary artery disease genetic risk score. The authors conducted 2-sample MR for short (24 single nucleotide polymorphisms) and continuous (71 single nucleotide polymorphisms) sleep duration with MI (n = 43,676 cases/128,199 controls), and replicated results in UKB (n = 12,111/325,421).ResultsCompared with sleeping 6 to 9 h/night, short sleepers had a 20% higher multivariable-adjusted risk of incident MI (HR: 1.20; 95% confidence interval [CI]: 1.07 to 1.33), and long sleepers had a 34% higher risk (HR: 1.34; 95% CI: 1.13 to 1.58); associations were independent of other sleep traits. Healthy sleep duration mitigated MI risk even among individuals with high genetic liability (HR: 0.82; 95% CI: 0.68 to 0.998). MR was consistent with a causal effect of short sleep duration on MI in CARDIoGRAMplusC4D (Coronary ARtery DIsease Genome wide Replication and Meta-analysis plus Coronary Artery Disease Genetics Consortium) (HR: 1.19; 95% CI: 1.09 to 1.29) and UKB (HR: 1.21; 95% CI: 1.08 to 1.37).ConclusionsProspective observational and MR analyses support short sleep duration as a potentially causal risk factor for MI. Investigation of sleep extension to prevent MI may be warranted.

Project description:BackgroundAtrial fibrillation (AF) remain a prevalent undiagnosed condition frequently encountered in primary care.ObjectiveWe aimed to find the parameters that optimize the diagnostic accuracy of pulse palpation to detect AF. We also aimed to create a simple algorithm for selecting which individuals would benefit from pulse palpation and, if positive, receive an ECG to detect AF.MethodsNurses from four Cardiology outpatient clinics palpated 7,844 pulses according to a randomized list of arterial territories and durations of measure and immediately followed by a 12-lead ECG, which we used as the reference standard. We calculated the sensitivity and specificity of the palpation parameters. We also assessed whether diagnostic accuracy depended on the nurse's experience or on a list of clinical factors of the patients. With this information, we estimated the positive predictive values and false omission rates according to very few clinical factors readily available in primary care (age, sex, and diagnosis of heart failure) and used them to create the algorithm.ResultsThe parameters associated with the highest diagnostic accuracy were palpation of the radial artery and classifying as irregular those palpations in which the nurse was uncertain about pulse regularity or unable to palpate pulse (sensitivity = 79%; specificity = 86%). Specificity decreased with age. Neither the nurse's experience nor any investigated clinical factor influenced diagnostic accuracy. We provide the algorithm to select the ≥40 years old individuals that would benefit from a pulse palpation screening: a) do nothing in <60 years old individuals without heart failure; b) do ECG in ≥70 years old individuals with heart failure; c) do radial pulse palpation in the remaining individuals and do ECG if the pulse is irregular or you are uncertain about its regularity or unable to palpate it.ConclusionsOpportunistic screening for AF using optimal pulse palpation in candidate individuals according to a simple algorithm may have high effectiveness in detecting AF in primary care.

Project description:Previous research has found that patients with acute cardiovascular conditions treated in teaching hospitals have lower 30-day mortality during dates of national cardiology meetings. We analyzed 30-day mortality among Medicare beneficiaries hospitalized with acute myocardial infarction (overall, ST-segment-elevation myocardial infarction, and non-ST-segment-elevation myocardial infarction) from January 1, 2007, to November 31, 2012, in major teaching hospitals during dates of a major annual interventional cardiology meeting (Transcatheter Cardiovascular Therapeutics) compared with identical nonmeeting days in the ±5 weeks. Treatment differences were assessed. We used a database of US physicians to compare interventional cardiologists who practiced and did not practice during meeting dates ("stayers" and "attendees," respectively) in terms of demographic characteristics and clinical and research productivity. Unadjusted and adjusted 30-day mortality rates were lower among patients admitted during meeting versus nonmeeting dates (unadjusted, 15.3% [482/3153] versus 16.7% [5208/31 556] [P=0.04]; adjusted, 15.4% versus 16.7%; difference -1.3% [95% confidence interval, -2.7% to -0.1%] [P=0.05]). Rates of interventional cardiologist involvement were similar between dates (59.5% versus 59.8% of hospitalizations; P=0.88), as were percutaneous coronary intervention rates (30.2% versus 29.1%; P=0.20). Mortality reductions were largest among patients with non-ST-segment-elevation myocardial infarction not receiving percutaneous coronary intervention (16.9% versus 19.5% adjusted 30-day mortality; P=0.008). Compared with stayers, attendees were of similar age and sex, but had greater publications (18.9 versus 6.3; P<0.001), probability of National Institutes of Health funding (5.3% versus 0.4%; P<0.001), and clinical trial leadership (10.3% versus 3.9%; P<0.001), and they performed more percutaneous coronary interventions annually (85.6 versus 63.3; P<0.001). Hospitalization with acute myocardial infarction during Transcatheter Cardiovascular Therapeutics meeting dates was associated with lower 30-day mortality, predominantly among patients with non-ST-segment-elevation myocardial infarction who were medically managed.

Project description:Background: Identifying individuals at heightened cardiovascular risk is a priority for reducing the global burden of cardiovascular disease. Aspirin is widely used to prevent cardiovascular events, though with variable results. Therefore, we hypothesized that aspirin exposure would reveal novel biological pathways relevant to the development of cardiovascular events. Methods: We administered aspirin, followed by peripheral blood RNA microarray profiling, in a discovery cohort of healthy volunteers (n = 50, HV1), followed by two validation cohorts of healthy volunteers (n = 53, HV2) or outpatient cardiology (OPC, n = 25) patients, in conjunction with platelet function testing with the platelet functions score (PFS, HV1 and HV2) or the VerifyNow Asprin (VN, OPC) test. Sets of coexpressed genes, or “Factors” were identified via Bayesian sparse factor analysis and associated with platelet function in HV1 and validated in HV2 and OPC. Validated factors were associated with death/MI in observational (n = 191) and case:control (n = 447) patient cohorts with available RNA data collected at the time of cardiac catheterization. Results: Factor analysis yielded 20 Factors, of which one, Factor 14, contained 60 genes and was associated with PFS in HV1 (r = -0.31, p-value = 0.03). Factor 14 was associated with platelet function with the same strength and direction in HV2 (r = -0.34, p-value = 0.02) and OPC (one-sided p-value for aspirin resistant vs. aspirin sensitive = 0.046), thus validating the association. Factor 14 was associated with death/MI in the two patient cohorts, odds ratio (OR) = 1.2, 95% CI [1.02-1.4], p-value = 0.01 and hazard ratio = 1.5, [1.2-1.9], p = 0.001, respectively, independent of known cardiovascular risk factors (combined OR = 1.2, CI = [1.02, 1.4], p = 0.03). Factor 14 and the expression of the Factor 14 transcript most highly correlative of PFS, ITGA2B, improved reclassification compared to traditional risk factors (category-free net reclassification index = 31% and 37%, p ≤ 0.0002 for both). Conclusions: By challenging humans subjects with aspirin, a medication used for cardiovascular risk reduction, we elucidated genes and pathways that may underlie platelet function and mechanisms responsible for cardiovascular death/MI. This accession represents the OPC cohort microarray data

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Self-reported sleep quality and depression in post myocardial infarction patients attending cardiology outpatient clinics in Oman.

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Self-reported sleep quality and depression in post myocardial infarction patients attending cardiology outpatient clinics in Oman.

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