Epidemiology, microbiology, and outcomes of infective endocarditis in a tertiary center in Jordan.

BACKGROUND: Infective endocarditis (IE) is a relatively rare but serious and life-threatening disease with substantial mortality and morbidity despite progress in diagnostic and treatment techniques. The aim of this study is to investigate the epidemiology, clinical characteristics, microbiological profile, and outcomes of IE patients in a tertiary care facility in Jordan, the Jordan University Hospital (JUH). METHODS: This is a retrospective case series study which was conducted at JUH. A total of 23 patients with either definite or possible IE according to the Modified Duke Criteria were included in the study. Medical records were reviewed, and relevant information was collected. Descriptive data analysis was performed. RESULTS: Our study identified a total of 23 patients with infective endocarditis; 65.2% were males, with a mean age of 40.4 years. The majority of patients had an underlying cardiac disease (60.9%), with the most common being congenital heart diseases (17.4%). The most commonly affected valves were the left-side heart valves, with the mitral valve (52.2%) being the most common followed by the aortic valve (34.8%). The most common organism detected in blood culture was Streptococcus viridans (21.7%) followed by methicillin-resistant Staphylococcus aureus. The most common complications among the patients were heart failure and septic shock, and the mortality rate among the patients was 13%. CONCLUSION: In patients with endocarditis, Streptococcus viridans is the most common culture-positive bacteria at JUH. One third of our patients needed surgical intervention and the mortality rate was 13%.

Inter-Arm Blood Pressure Difference an Indicator of Coronary Artery Disease.

INTRODUCTION: Considering the scarcity of the literature on the association between inter-arms blood pressure difference (IABPD) and coronary artery disease (CAD). AIM: We performed this study to investigate the prevalence of IABPD within the Jordanian population and to assess if it has an association with CAD. METHODS: We sampled patients visiting the cardiology clinics at the Jordan University Hospital between October, 2019 and October 2021 into two groups. Participants were divided into two groups; patients with severe CAD and control group who had no evidence of CAD. RESULTS: We measured the blood pressure for a total of 520 patients. Of the included patients, 289 (55.6 %) had CAD while 231 (44.4%) were labeled as controls who were normal. A total of 221 (42.5%) participants had systolic IABPD above 10 mmHg, while 140 (26.9%) had a diastolic IABPD above 10 mmHg. Univariate analysis demonstrated that patients with CAD were significantly more likely to be older (p < 0.001), of the male gender (p < 0.001), hypertensive (p < 0.001), and having dyslipidemia (p < 0.001). Moreover, they had significantly higher IABPD differences in terms of both systolic and diastolic blood pressure (p < 0.001 and p = 0.022, respectively). Multivariate analysis showed that CAD was a positive predictor of abnormal systolic IABPD. CONCLUSION: In our study, elevated systolic IABPD was associated with a higher prevalence of severe CAD. Patients with abnormal IABPD might be subjected to more specialist investigation as IABPD consistently predicts coronary artery disease, peripheral arterial disease or other vasculopathy throughout the literature.

Pericardial fat and cardiovascular diseases: A systematic review and meta-analysis.

OBJECTIVE: Previous studies investigated the effect of pericardial fat on cardiovascular diseases. However, until now there was no systematic review and meta-analysis investigated this association, thus we conducted this article to assess the relationship between pericardial fat and cardiovascular diseases. METHODS: We searched PubMed, The Cochrane Library, Scopus, Google Scholar and Clinicaltrials.gov to select observational studies reported the relationship between pericardial fat and cardiovascular diseases including coronary artery disease (CAD), ventricular dysfunction, heart failure (HF), atrial fibrillation (AF), major adverse cardiac events (MACE), coronary artery calcifications (CAC), arrhythmias other than atrial fibrillation, and cardiovascular events prediction scores. Meta XL 5.3 was used for data analysis. RESULTS: A total of 83 articles that included 73,934 patients were included in our analysis. The results showed that pericardial fat was significantly associated with CAD (OR = 1.38; 95% CI: 1.28-1.50), ventricular dysfunction (OR = 1.53 per 1 mm3 ; 95% CI: 1.17-2.01), HF (OR = 1.32 per 1 mm3 ; 95% CI: 1.23-1.41), AF (OR = 1.16 per 1 mm3 ; 95% CI: 1.09-1.24), MACE (OR = 1.39 per 1 mm3 ; 95% CI: 1.22-1.57), and CAC (OR = 1.15 per 1 mm3 ; 95% CI: 1.05-1.27). On the other hand, there was no enough data about the relationship between pericardial fat with arrhythmias other than atrial fibrillation or cardiovascular risk scores. CONCLUSION: The analysis demonstrated that the relationship between pericardial fat volume and cardiovascular diseases was significant. Since pericardial fat is a good predictor of obesity, it suggests investigating its relationship and adds on effect to previously established risk factor to evaluate the possibility of incorporating it with cardiovascular risk scores.

Significance of Statin-Associated Muscle Symptoms and Its Impact on Patients Adherence and Outcomes.

ABSTRACT: Statin-associated muscle symptoms (SAMS) are one of the most common side effects of statins. This study aimed to explore the significance of SAMS among statin users by comparing statin users with a control group. To achieve our aims, a propensity score matching the retrospective cohort study was conducted in a single center tertiary hospital. The statin muscle symptoms were assessed using the Proposed Statin Myalgia Index Score, whereas the patient's adherence to medications was evaluated using the Morisky Medication Adherence Scale-8. We included 743 patients in our study; of them, 64.9% were on statin, whereas the rest were controls (35.1%). After propensity score matching, patients on statin had significantly higher rates of SAMS (5.0%) compared with control (1.6%) (AOR = 3.209; 95% CI: 1.020-10.091). However, there was no significant difference between statin users and controls in medications nonadherence ( P -value = 0.820). Our analysis among statins users revealed that moderate-intensity (2.671; 95% CI: 1.691-3.310) and high-intensity (3.552; 95% CI: 2.190-4.129) statin therapy was significantly associated with SAMS. In addition, autoimmune diseases were significantly associated with SAMS occurrence (AOR = 32.301; 95% CI: 1.785-584.374). Also, patients on PPIs had significantly less occurrence of SAMS (AOR = 0.145; 95% CI: 0.044-0.483), whereas patients on antiepileptic drugs had significantly higher SAMS occurrence (AOR = 72.337; 95% CI: 2.649-1975.201). Regarding MACE among statin users, there was no significant difference in the 1-year or 5-year MACE rate between statin users and controls. Our study suggests that SAMS are significant among statin users and must be addressed by health care providers to ensure that patients are still adherent to their medications and hence protected against cardiac events.

Prevalence, Epidemiological Characteristics, and Pharmacotherapy of Coronary Artery Disease among Patients with Atrial Fibrillation: Data from Jo-Fib Study.

Background and Objectives: Patients with AF are at increased risk for Coronary Artery Disease (CAD) owing to their shared etiologies and risk factors. This study aimed to assess the prevalence, cardiovascular risk factors, and used medications of CAD in AF patients. Materials and Methods: This retrospective, case-control study utilized data from the Jordanian Atrial Fibrillation (Jo-Fib) registry. Investigators collected clinical features, history of co-existing comorbidities, CHA2DS2-VASc, and HAS BLED scores for all AF patients aged >18 visiting 19 hospitals and 30 outpatient cardiology clinics. A multivariable binary logistic regression was used to asses for factors associated with higher odds of having CAD. Results: Out of 2000 patients with AF, 227 (11.35%) had CAD. Compared to the rest of the sample, those with CAD had significantly higher prevalence of hypertension (82.38%; p < 0.01), hypercholesterolemia (66.52%, p < 0.01), diabetes (56.83%, p < 0.01), and smoking (18.06%, p = 0.04). Patients with AF and CAD had higher use of anticoagulants/antiplatelet agents combination (p < 0.01) compared to the rest of the sample. Females had lower CAD risk than males (OR = 0.35, 95% CI: 0.24-0.50). AF Patients with dyslipidemia (OR = 2.5, 95% CI: 1.8-3.4), smoking (OR = 1.7, 95% CI: 1.1-2.6), higher CHA2DS2-VASc score (OR = 1.5, 95% CI: 1.4-1.7), and asymptomatic AF (OR = 1.9, 95% CI: 1.3-2.6) had higher risk for CAD. Conclusions: Owing to the increased prevalence of CAD in patients with AF, better control of cardiac risk factors is recommended for this special group. Future studies should investigate such interesting relationships to stratify CAD risk in AF patients. We believe that this study adds valuable information regarding the prevalence, epidemiological characteristics, and pharmacotherapy of CAD in patients with AF.

Is Lipoprotein (a) a Risk Factor for Coronary Artery Ectasia?

BACKGROUND: The pathophysiology of coronary artery ectasia (CAE) is under investigated and not well understood. Atherosclerosis is considered as the main etiologic factor for CAE in adults where more than 50% of CAE patients have atherosclerosis. Recently, lipoprotein (a) (Lp(a)) has emerged as a powerful risk factor for atherosclerosis and coronary artery disease (CAD). Serum levels of Lp(a) in patients with CAE have not been investigated. We assumed that Lp(a) may play a role in the pathogenesis of CAE. Principally, our study aims to identify whether Lp(a) is an independent risk factor for CAE. METHODS: Our study is a prospective pilot study. Study population was collected prospectively from pool of patients referred for elective cardiac catheterization at Jordan University Hospital (JUH) in the period extending from February 17, 2018 to June 31, 2018. Patients were referred for elective coronary angiography after being interviewed and physically examined by a cardiologist (HA). Patients with known history of CAD or who are already on anti-lipidemic drugs either documented in the medical records or by interviewing patients for history of revascularization were excluded from the study. RESULTS: Regarding the primary outcome, there was no significant difference in Lp(a) concentrations between normal and ectasia groups in the general sample (median: 17.5mg/dL vs. 20.4 mg/dL, P value = 0.38). CONCLUSIONS: Our study concludes that there is no detected relationship between elevated Lp(a) levels and developing CAE. CAE was more common in patients with low high-density lipoprotein (HDL) level (compared with patients with normal coronaries), higher total cholesterol level (compared with patients with non-obstructive stenosis) and higher hemoglobin A1c (HbA1c).

Assessment of segmental left ventricular thickening in diabetic type II obese patients with normal myocardial perfusion scan.

OBJECTIVE: The aim of this study is to investigate whether gated single photo emission tomography (gSPET) can be used to detect subclinical left ventricular systolic dysfunction (LVSD) in obese diabetic type II patients. SUBJECTS AND METHODS: We retrospectively reviewed gSPET images of 190 patients with diabetes mellitus type II (DM II) (137 females and 53 males) with normal myocardial perfusion and normal ejection fraction (EF). Standardized twenty segment polar maps of thickening and motion were generated. Correlation between body mass index (BMI) and thickening for each segment was performed. RESULTS: Statistically significant results were reported in female patients including: negative correlation between BMI and EF (-0.19, P=0.03). End diastolic volume (EDV) also significantly increased with increasing BMI (0.25, P<0.01). There was also statistically significant negative correlation between septal thickening and BMI segment 15 (-0.19, P=0.02), segment 16 (-0.22, P=0.01), segment 18 (-0.20, P=0.01), segment 19 (-0.25, P=0.003), segment 20 (-0.2, P=0.02)]. No statistical significant correlation was found between thickening and BMI in male patients. CONCLUSION: This is the first time where thickening as measured by gSPET has been used to demonstrate subclinical LVSD in DM II obese patients. The relationship between gender and obesity on cardiovascular function and structure needs further investigations.