Treating Pulmonary Arterial Hypertension With Sotatercept: A Meta-Analysis.

Pulmonary arterial hypertension (PAH) results from proliferative remodeling and narrowing of the pulmonary vasculature. Sotatercept is a first-in-class fusion protein that has recently garnered attention for showing improvements in patients with PAH. This meta-analysis of randomized controlled trials (RCTs) assesses the overall efficacy of Sotatercept in treating PAH. PubMed, Google Scholar, and Clinicaltrials.gov were searched using relevant keywords and MeSH terms. Studies were included if RCTs compared Sotatercept with placebo in patients with PAH. Our comprehensive literature search yielded 3,127 results, of which two RCTs with 429 patients were included in this meta-analysis. The patients were on background therapy for PAH. Results of the meta-analysis show that when compared with placebo, Sotatercept improved the six-minute walk distance (mean difference [MD] 34.99; 95% confidence interval [CI] 19.02-50.95; P < 0.0001), the World Health Organization (WHO) functional class (odds ratio [OR] 2.50; 95% CI 1.50-4.15; P = 0.0004), and pulmonary vascular resistance (PVR, MD -253.90; 95% CI -356.05 to -151.75; P < 0.00001). However, reduction in N-terminal pro-B-type natriuretic peptide (NT-proBNP, MD -1563.14; 95% CI -3271.93 to 145.65; P = 0.07) was not statistically significant in the Sotatercept group versus placebo. In conclusion, Sotatercept improves the six-minute walk distance, WHO functional class, and PVR in patients with PAH receiving background therapy. However, the effect on NT-proBNP levels was not statistically significant. More research is needed to assess the clinical relevance of these findings.

Rethinking HDL-C: An In-Depth Narrative Review of Its Role in Cardiovascular Health.

The interplay between HDL-C and LDL levels are closely intertwined with the cardiovascular system. High-Density Lipoprotein Cholesterol (HDL-C) is a well-known biomarker traditionally being interpreted as higher the HDL-C levels, minimal the risk of adverse cardiovascular disease (CVD) outcomes. However, recent research has unveiled a more complex relationship between HDL-C levels and cardiovascular outcomes, including genetic influences and potential risks associated with extremely high HDL-C levels. Intriguingly, extremely high HDL-C levels have been linked to unexpected cardiovascular risks. Up To date research suggests that individuals with genetically linked ultra-high HDL-C levels may depict an increased susceptibility to CVD, challenging the conventional realm that higher HDL-C is always beneficial. The mechanisms underlying this mystery are not fully understood but may involve HDL particle functionality and composition. In a nutshell, the relationship between HDL-C levels and cardiovascular outcomes is multifactorial. While low HDL-C remains a recognized risk factor for CVD, the genetic determinants of HDL-C levels add complexity to this association. Furthermore, extremely high HDL-C levels may not exhibit the expected protective benefits and may even pose unprecedented cardiovascular risks. A comprehensive understanding of these dynamics is essential for advancing our knowledge of CVD risk assessment and developing targeted therapeutic interventions. Further studies are needed to unravel the intricacies of HDL-C's role in cardiovascular health and disease.

Exploring alternative approaches to precision medicine through genomics and artificial intelligence - a systematic review.

The core idea behind precision medicine is to pinpoint the subpopulations that differ from one another in terms of disease risk, drug responsiveness, and treatment outcomes due to differences in biology and other traits. Biomarkers are found through genomic sequencing. Multi-dimensional clinical and biological data are created using these biomarkers. Better analytic methods are needed for these multidimensional data, which can be accomplished by using artificial intelligence (AI). An updated review of 80 latest original publications is presented on four main fronts-preventive medicine, medication development, treatment outcomes, and diagnostic medicine-All these studies effectively illustrated the significance of AI in precision medicine. Artificial intelligence (AI) has revolutionized precision medicine by swiftly analyzing vast amounts of data to provide tailored treatments and predictive diagnostics. Through machine learning algorithms and high-resolution imaging, AI assists in precise diagnoses and early disease detection. AI's ability to decode complex biological factors aids in identifying novel therapeutic targets, allowing personalized interventions and optimizing treatment outcomes. Furthermore, AI accelerates drug discovery by navigating chemical structures and predicting drug-target interactions, expediting the development of life-saving medications. With its unrivaled capacity to comprehend and interpret data, AI stands as an invaluable tool in the pursuit of enhanced patient care and improved health outcomes. It's evident that AI can open a new horizon for precision medicine by translating complex data into actionable information. To get better results in this regard and to fully exploit the great potential of AI, further research is required on this pressing subject.

Clinical Efficacy and Safety of Bempedoic Acid in High Cardiovascular Risk Patients: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Bempedoic acid (BA) is the new addition to lipid-lowering medications. This systematic review and meta-analysis of randomized controlled trials (RCTs) assess the clinical efficacy and safety of BA in high cardiovascular (CV) risk patients along with its effects on low-density lipoprotein cholesterol (LDL-C) and total cholesterol. PubMed, Google Scholar, Cochrane Central Register of Controlled Trials, Embase, and ClinicalTrials.gov were searched for RCTs comparing BA with placebo, reporting CV outcomes. Seven RCTs with a total of 17,816 patients were selected for the analysis. Results showed that BA significantly reduced the risk of MACE (RR 0.87, 95% CI 0.80-0.94; P = 0.007), nonfatal myocardial infarction (RR 0.73; 95% CI 0.62-0.85; P < 0.0001), hospitalization for unstable angina (RR 0.69; 95%CI 0.54-0.88; P = 0.003), coronary and noncoronary revascularization (RR 0.82; 95%CI 0.73-0.92; P = 0.0007) and (RR 0.41; 95%CI 0.18-0.96; P = 0.04), respectively. However, BA increased the risk of gout (RR 1.55; 95% CI 1.26-1.90; P < 0.0001), hyperuricemia (RR 1.94; 95% CI 1.73-2.18; P < 0.00001) and worsening renal function (RR 1.34; 95%CI 1.21-1.48; P < 0.00001). BA also reduced LDL-C (MD -22.38%; 95% CI -25.94 to - 18.82; P < 0.00001) and total cholesterol (MD -13.86%; 95% CI -15.82 to -11.91; P < 0.0000) compared with placebo. Bempedoic acid is an addition to the arsenal of lipid-lowering drugs used in patients that are statin intolerant or need additional lipid-lowering therapy.

Risk factors & perinatal outcomes of major depression during pregnancy: A population-based study during 2010-2020 in two major cities of Pakistan.

Introduction: Ever since the world came into being different factors and circumstances contributed in a deteriorating fashion to mental health, and depression is the commonest of mental disturbance and incapability. We aimed to identify the risk factors for perinatal outcomes of maternal depression. Methods: Data extracted was from two important cities of Pakistan i.e Islamabad and Karachi, and the numbers are 500,000 and 800,000 respectively. The timeline of the information was from 2010 to 2020 to signify a decade. Women with active pregnancy and depression were included. Chisquare analysis was run to predict which factors had a significant impact on depression. Odds ratio was separately run on the significant factors. Regression analysis was done to describe the relationships between independent variables and each other. Results: The most preferred procedure of delivery was cesarean section in Islamabad and more than 500,000 in Karachi. Low-income women in Karachi had a mean depression score of 12.4 while men with the same socioeconomic class had a score of 23.4. 15.7 females in Islamabad reported medications taken during pregnancy & 34.9 females from major depression group. Mean of 87.9 individuals from Islamabad reported living with husband from no serious depression during pregnancy. In Population of Islamabad, Previous pregnancies and birth weight in comparison with depression is significant having p value 0.00. Maternal age, fetal sex & gestational age are also significant indicators of whether a woman is depressed or not. Apgar scores & violence in relation to depression are significant in Karachi Population having p values of 0.049 and 0.028. Conclusion: Female health and neonatal care should be a serious concern, but unfortunately in spite of progression in the field of medicine the low income or third world countries don't have sufficient awareness and due to that Pakistan still reports high maternal and neonatal mortality rates.