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Background Multimorbidity, defined as having two or more chronic diseases, has a major impact on public health and Sustainable Development Goals (SDG). This study aims to assess the prevalence of medication adherence and associated factors among patients with multimorbidity. Methods A questionnaire-based, cross-sectional survey was conducted by a trained interviewer across patients with multimorbidity attending outpatient clinics in two tertiary referral hospitals in the United Arab Emirates (UAE). Demographic and social variables and the outcome (self-reported adherence to long-term medication) were measured using the General Medication Adherence Scale (GMAS). Multiple logistic regression was used to assess medication adherence and associated factors. Results From a total of 630 participants included in this study, the estimated prevalence of high medication adherence is 78.57% (±1.63478) with a 95% confidence interval (CI) [75.19, 81.61]. The odds of high medication adherence increased with age. The odds of high medication adherence for patients aged 66 years and older than those aged 19–35 years is adjusted odds ratio (AOR) = 3.880, with a 95% CI [1.124, 13.390]. Patients with income more than 50,000 had the odds, AOR = 5.169 with a 95% CI [1.282, 20.843], compared to those earning less than 10,000 Dirhams (AED). Patients aged 36–65 with health insurance coverage had higher medication adherence than groups on the other end. The number of current medications is significantly (p-value = 0.027) associated with high medication adherence with the odds of high medication adherence, AOR = 4.529 with a 95% CI [1.184, 17.326], the highest for those currently taking four medications. Conclusion This study highlights younger population having multimorbidity in the context of an increasing life expectancy and suboptimal therapeutic outcomes. Furthermore, the study highlights multimorbidity is associated with low medication adherence and out-of-pocket payment, and non-availability of insurance is a major hindrance to medication adherence.

Elevated blood pressure (BP) is a growing burden worldwide, leading to over 10 million deaths each year. May Measurement Month (MMM) is a global initiative aimed at raising awareness of high BP and to act as a temporary solution to the lack of screening programmes worldwide. United Arab Emirates has a young population, but cardiovascular disease (CVD) is the commonest cause of death (40%). Myocardial infarction and stroke occurs at least a decade earlier than in western countries. Previous screening in our young population showed that 85% of the population had at least one CVD risk factor and about 62% of them were unaware of it. An opportunistic cross-sectional survey of volunteers aged ≥18 was carried out in May 2017. Blood pressure measurement, the definition of hypertension and statistical analysis followed the standard MMM protocol. Screening was held in 23 sites such as mosques, sports, and men’s/ladies’ clubs, airports, parks, shopping malls, work places as well as their residences, and in the public areas of hospitals or outpatient clinics. A total of 6193 individuals were screened during MMM17. The mean age was 39.2 ± 13.1 years. After multiple imputation, 1867 (30.2%) had hypertension. Of individuals not receiving anti-hypertensive medication, 813 (15.8%) were hypertensive. Of 1054 individuals receiving anti-hypertensive medication, 427 (40.6%) had uncontrolled BP. MMM17 was a useful screening model as it makes BP measurement easily accessible. Eight hundred and thirteen (16%) possibly new hypertensives were uncovered and 427(40.6%) of those on treatment for hypertension were found to be uncontrolled. These results suggest that opportunistic screening can identify significant numbers with raised BP.

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Objective To evaluate the association of a prolonged corrected QT (QTc) interval in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its association with in-patient mortality. Methods A cohort of 745 patients were recruited from a single center between 1 March 2020 and 31 May 2020. We analyzed the factors associated with a prolonged QTc and mortality. Results A prolonged QTc interval >450 ms was found in 27% of patients admitted with SARS-CoV-2 infection. These patients were predominantly older, on a ventilator, and had hypertension, diabetes mellitus, or ischemic heart disease. They also had high troponin and D-dimer concentrations. A prolonged QTc interval had a significant association with the requirement of ventilator support and was associated with an increased odds of mortality. Patients who died were older than 55 years, and had high troponin, D-dimer, creatinine, procalcitonin, and ferritin concentrations, a high white blood cell count, and abnormal potassium concentrations (hypo- or hyperkalemia). Conclusions A prolonged QTc interval is common in patients with SARS-CoV-2 infection and it is associated with worse outcomes. Older individuals and those with comorbidities should have an electrocardiogram performed, which is noninvasive and easily available, on admission to hospital to identify high-risk patients.

Background: The diagnosis of Non-ST Elevated Myocardial Infarction (NSTEMI) is dependent on elevation of high sensitivity troponin (Hs-troponin). The current cutoff point for Hs-troponin is highly sensitive but not specific for obstructive coronary artery disease (CAD). This study aims to determine the best cutoff point for diagnosing CAD in patients presented with NSTEMI. Methods: Our study included all patients admitted as NSTEMI that underwent coronary angiography (CAG). They were grouped into two groups: A and B. Group A has obstructive CAD of 70% or more stenosis and group B with non-obstructive CAD. Patients were assessed for their demographics, clinical history, laboratory and imaging results. Using SPSS version 22, the pooled cohort of patients were analyzed at significant level < 0.05 and the data were tested for significant correlations between two predetermined groups. Results: Group A comprised 87.6% of the patients and both groups had a median age of 53 years. In Group A, 91% were males, 54% diabetics, 54% hypertensives, and median Hs-troponin was 145 ng/L. While in group B, 88% were males, 39% diabetics, 60% hypertensives, and median Hs-troponin was 54 ng/L. There was significant correlation between the two groups in the percentage of diabetes and median troponin level (p < 0.05). A ROC curve has identified a level of 127 ng/dL as the best cutoff of Hs-troponin in detecting obstructive CAD (p = 0.03). Interestingly, 60% of patients in group B had alternative diagnoses. Conclusion: Hs-troponin is sensitive but less specific for obstructive CAD. However, increasing its cutoff value will improve its specificity.

This case is of a 76-year-old man with a known history of hypertension, type 2 diabetes mellitus, and ischemic heart disease, who presented to our department with chest pain and palpitations. His electrocardiogram showed a ventricular tachycardia (VT), but fortunately our patient was hemodynamically stable. A trial of adenosine was given to convert the patient’s heart back to sinus rhythm, but was unsuccessful and the rhythm remained as VT. Soon after, the patient suddenly became hemodynamically unstable as his blood pressure acutely declined; thus, the decision to perform a direct current cardioversion was taken. Bearing in mind that the patient was still awake, he was given 10 mg of intravenous etomidate as a pre-procedural sedative. During the time it took to prepare for the procedure, the patient’s rhythm reverted from VT to a regular sinus rhythm, raising his blood pressure back to normal and achieving hemodynamic stablility, negating the need of any electrical or chemical cardioversion. Our patient was then handed over to the cardiology team for an emergency percutaneous coronary intervention procedure and an implantable cardioverter-defibrillator procedure, both of which were successful. Etomidate was used in this case for the purpose of sedation, and as luck would have it, it seems that it had also incidentally reverted the arrhythmia back to normal.

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