Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally important and challenging task because of its asymptomatic and episodic nature. In this paper, state-of-the-art ECG data-based machine learning models and signal processing techniques applied for auto diagnosis of AF are reviewed. Moreover, key biomarkers of AF on ECG and the common methods and equipment used for the collection of ECG data are discussed. Besides that, the modern wearable and implantable ECG sensing technologies used for gathering AF data are presented briefly. In the end, key challenges associated with the development of auto diagnosis solutions of AF are also highlighted. This is the first review paper of its kind that comprehensively presents a discussion on all these aspects related to AF auto-diagnosis in one place. It is observed that there is a dire need for low energy and low cost but accurate auto diagnosis solutions for the proactive management of AF.

Background: Randomized controlled trials and real-world studies suggest that combination therapy with sodium–glucose transport protein 2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) is associated with improvement in fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), systolic blood pressure (SBP), body mass index (BMI), and total cholesterol levels. However, a systematic review of available real-world evidence may facilitate clinical decision-making in the real-world scenario. This meta-analysis assessed the safety and effectiveness of combinations of SGLT2is + GLP-1RAs with a focus on their cardioprotective effects along with glucose-lowering ability in patients with type 2 diabetes mellitus (T2DM) in a real-world setting. Methods: Electronic searches were performed in the PubMed/MEDLINE, PROQuest, Scopus, CINAHL, and Google Scholar databases. Qualitative analyses and meta-analyses were performed using the Joanna Briggs Institute SUMARI software package and Review Manager v5.4, respectively. Results: The initial database search yielded 1445 articles; of these, 13 were included in this study. The analyses indicated that SGLT2is + GLP-1RAs combinations were associated with significantly lower all-cause mortality when compared with individual therapies (odds ratio [95% confidence interval [CI] 0.49 [0.41, 0.60]; p < 0.00001). Significant reductions in BMI (− 1.71 [− 2.74, − 0.67]; p = 0.001), SBP (− 6.35 [− 10.17, − 2.53]; p = 0.001), HbA1c levels (− 1.48 [− 1.75, − 1.21]; p < 0.00001), and FPG (− 2.27 [− 2.78, − 1.76]; p < 0.00001) were associated with the simultaneous administration of the combination. Changes in total cholesterol levels and differences between simultaneous and sequential combination therapies for this outcome were not significant. Conclusion: This systematic review and meta-analysis based on real-world data suggests that the combination of SGLT2is + GLP-1RAs is associated with lower all-cause mortality and favorable improvements in cardiovascular, renal, and glycemic measurements. The findings drive a call-to–action to incorporate this combination early and simultaneously in managing T2DM patients and achieve potential cardiovascular benefits and renal protection. Graphical

Plasma lipid disorders are key risk factors for the development of atherosclerotic cardiovascular disease (ASCVD) and are prevalent in the Middle East, with rates increasing in recent decades. Despite this, no region-specific guidelines for managing plasma lipids exist and there is a lack of use of guidelines developed in other regions. A multidisciplinary panel of regional experts was convened to develop consensus clinical recommendations for the management of plasma lipids in the Middle East. The panel considered existing international guidelines and regional clinical experience to develop recommendations. The panel's recommendations include plasma lipid screening, ASCVD risk calculation and treatment considerations. The panel recommend that plasma lipid levels should be measured in all at-risk patients and at regular intervals in all adults from the age of 20years. A scoring system should be used to calculate ASCVD risk that includes known lipid and non-lipid risk factors. Primary treatment targets include low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol. Lifestyle modifications should be first-line treatment for all patients; the first-line pharmacological treatment targeting plasma lipids in patients at moderate-to-high risk of ASCVD is statin therapy, with a number of adjunctive or second-line agents available. Guidance is also provided on the management of underlying conditions and special populations; of particular pertinence in the region are familial hypercholesterolaemia, diabetes and metabolic dyslipidaemia. These consensus clinical recommendations provide practicing clinicians with comprehensive, region-specific guidance to improve the detection and management of plasma lipid disorders in patients in the Middle East.

The upsurge of type 2 diabetes mellitus is a major public health concern in the Middle East and North Africa (MENA) and Africa (AFR) region, with cardiorenal complications (CRCs) being the predominant cause of premature morbidity and mortality. High prevalence of cardiometabolic risk factors, lack of awareness among patients and physicians, deficient infrastructure, and economic constraints lead to a cascade of CRCs at a significantly earlier age in MENA and AFR. In this review, we present consensus recommendations by experts in MENA and AFR, highlighting region‐specific challenges and potential solutions for management of CRCs. Health professionals who understand sociocultural barriers can significantly increase patient awareness and encourage health‐seeking behavior through simple educational tools. Increasing physician knowledge on early identification of CRCs and personalized treatment based on risk stratification, alongside optimum glycemic control, can mitigate therapeutic inertia. Early diagnosis of high‐risk people with regular and systematic monitoring of cardiorenal parameters, development of region‐specific care pathways for timely referral to specialists, followed by guideline‐recommended care with novel antidiabetics are imperative. Adherence to guideline‐recommended care can catalyze utilization of sodium glucose cotransporter 2 inhibitors and glucagon‐like peptide 1 receptor agonists with demonstrated cardiorenal benefits—thus paving the way for overcoming care gaps in a cost‐effective manner. Leveraging digital technology like electronic medical records can help generate real‐world data and provide insights on voids in adoption of newer antidiabetic medications. A patient‐centric approach, collaborative care among physicians from different specialties, alongside involvement of policy makers are key for improving patient outcomes and quality of care in MENA and AFR.

Background Planar and single-photon emission computed tomography (SPECT) nuclear imaging techniques with bone seeking radiotracers have been increasingly adopted for diagnosis of ATTR cardiac amyloidosis. However, inherent limitations of these techniques due to lack of anatomical landmarks have been recognized, with consequent high numbers of equivocal or false positive cases. SPECT/computed tomography (CT) fusion imaging offers a significant advantage to overcome these limitations by substantially reducing inaccurate interpretations. The authors present the results of a 3-year imaging quality improvement project that focused on reducing the high number of equivocal studies that were noted in the first two years of the amyloidosis program, comparing SPECT only to SPECT/CT fusion technique. Methods A retrospective, systematic analysis of 176 patient records was performed to test the premise that SPECT/CT fusion imaging has the potential to reduce equivocal and false positive results. Results Of a total of 176 patients, 35 equivocal (19.8%), 32 (18.18%) strongly suggestive, and 109 (61.93%) not suggestive cases were identified. Recognizing that this was not consistent with the international data, the authors set out on a comprehensive quality assessment project to reduce the number of equivocal and false positive cases. In patients who initially underwent SPECT only (Group A; n = 78), the addition of SPECT/CT fusion resulted in the net reclassification of 73% of cases: 100% of equivocal cases (n = 35) were reclassified to not suggestive (n = 34) or strongly suggestive (n = 1). 73% of strongly suggestive cases (n = 30) were reclassified to not suggestive (n = 22) while 8 strongly suggestive cases were confirmed as true positives. 13 not suggestive cases remained negative after SPECT/CT fusion. In cases where SPECT/CT fusion was utilized from the beginning (Group B; n = 98), there were no reclassification of any of the cases when these cases were reprocessed as a control group. Conclusion Addition of SPECT/CT imaging reduces the false positive or equivocal studies and increases the diagnostic accuracy of the test. All false positive and equivocal studies were eliminated using the fusion technique. Utilizing the fusion imaging technique increases the spatial resolution, with the ability to localize myocardial uptake and accurately differentiate from blood pool, which is a major source of error.