Factors Associated With the Development of Heart Failure Following Acute Coronary Syndrome: A Systematic Review and Meta-Analysis.

Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome.

Machine Learning Algorithm-Based Prediction of Diabetes Among Female Population Using PIMA Dataset.

: Diabetes is a metabolic disorder characterized by increased blood sugar levels. Early detection of diabetes could help individuals to manage and delay the progression of this disorder effectively. Machine learning (ML) methods are important in forecasting the progression and diagnosis of different medical problems with better accuracy.

Formulation development and evaluation, in silico PBPK modeling and in vivo pharmacodynamic studies of clozapine matrix type transdermal patches.

Clozapine is a potent serotonin receptor antagonist and commonly used for the treatment of Schizophrenia. The study aimed to develop and optimize the transdermal matrix patch of clozapine. A 3-level, 3-factor Central Composite Design was applied to examine and validate the impact of various formulation variables, Eudragit, PEG, and oleic acid on in vitro drug release, flux, and tensile strength (TS).

CustOmized versus standard fundal-height measuREments for the detection of small-for-gestational age fetuses in low-risk women (CORE study): A randomized controlled trial.

Objective: To compare the proportion of small-for-gestational age (SGA) infants detected by routine care versus a growth assessment protocol using customized fundal-height charts in low-risk pregnancies of a developing country.

Methods: An open label randomized controlled trial was conducted at the Fatima Memorial Hospital (NUR International University, Pakistan). Low-risk pregnant women were randomly allocated to routine care (Mcdonald's rule for fundal height measurements followed by referral for scan with discrepancy of 3 cm from gestational age and a contingency third trimester scan) or the growth assessment protocol (GAP) developed by the Perinatal Institute (UK), which consists of the use of gestation-related optimal weight (GROW) customized charts, alongside management protocols for suspected SGA fetuses, audit tools and training.

Effect of Increased Level of Lipoprotein(a) on Cardiovascular Outcomes in Patients With Ischemic Heart Disease: A Systematic Review and Meta-Analysis.

Lipoprotein(a) (Lp(a)) has emerged as a significant cardiovascular risk factor, particularly in patients with ischemic heart disease (IHD). This systematic review and meta-analysis aimed to synthesize evidence on the impact of Lp(a) levels on cardiovascular outcomes in IHD patients. A comprehensive literature search was conducted across multiple databases, covering publications from January 2016 to October 2024.