Level of nutrition competencies among healthcare professionals and medical students in Kazakhstan.

Background: Nutrition is a critical component of healthcare, with healthcare professionals playing a pivotal role in encouraging proper nutrition care among patients. Consequently, it is imperative for all healthcare professionals to have proficiency in nutrition relevant to the prevention and treatment of diseases. This study, to the best of the author's knowledge, is the first study to examine the current level of nutrition competencies among health professionals and medical students in Kazakhstan, as well as the factors influencing these competencies.

Epidemiological trends of idiopathic epilepsy in Central Asia: Insights from the global burden of disease study (1990-2021).

Background: Epilepsy is one of the major neurological disorders affecting millions of people worldwide, with significant variations in incidence and prevalence across different regions. This study focuses on the epidemiological trends of idiopathic epilepsy in Central Asia, a region characterized by a long process of healthcare system transformation and socioeconomic conditions after the collapse of the Soviet Union. Understanding these trends is crucial for developing effective public health strategies tailored to the unique needs of the population.

Genetic variants in the vitamin D pathway genes are predictors of the risk of diabetic kidney disease in Central Asian Kazakhstani cohort with type 2 diabetes.

Introduction: Diabetic kidney disease (DKD) is a common microvascular complication of type 2 diabetes mellitus (T2DM). Given vitamin D's roles in glucose metabolism and renal function, this study investigated associations between common variants in vitamin D pathway genes (, , ) and DKD risk.

Methods: This case-control study included 170 patients with DKD, 157 patients without DKD, and 118 normoglycemic healthy controls.

Mortality trends in Kazakhstan: insights from a million of deaths from 2014 to 2022.

Background: Kazakhstan's healthcare system and population health have changed significantly between 2014 and 2022, especially due to the COVID-19 pandemic. This study analyzes mortality trends during this period to better understand the health challenges and regional differences that have emerged, addressing a gap in comprehensive research.

Methods: We analyzed mortality data from Kazakhstan's Unified National Electronic Health System (2014-2022), calculating age-standardized mortality rates and years of life lost.

Cluster Analysis in Diabetes Research: A Systematic Review Enhanced by a Cross-Sectional Study.

Diabetes mellitus is a heterogeneous metabolic disorder that poses substantial challenges in the management of patients with diabetes. Emerging research underscores the potential of unsupervised cluster analysis as a promising methodological approach for unraveling the complex heterogeneity of diabetes mellitus. This systematic review evaluated the effectiveness of unsupervised cluster analysis in identifying diabetes phenotypes, elucidating the risks of diabetes-related complications, and distinguishing treatment responses.

Heart failure burden in Kazakhstan among adults: data from Unified National Electronic Healthcare System 2014-19.

Heart failure (HF) is a complex clinical syndrome with significant mortality risks, causing an increasing healthcare burden. Globally, 64.3 million prevalent cases were estimated in 2017.

A Multicentric Study on Adverse COVID-19 Outcomes Among Pregnant and Nonpregnant Women in Multidisciplinary Hospitals of Kazakhstan.

The study aimed at identification and analysis of adverse COVID-19 outcomes (admission to intensive care units due to COVID-19, acute respiratory distress syndrome, mechanical ventilation, and death) among hospitalized pregnant and nonpregnant women, which are critical for informed decision-making in obstetric diagnostics and healthcare. This was a retrospective observational study conducted on a series of inpatient pregnant women comparatively followed up with nonpregnant women hospitalized between 15 July 2020 to 20 January 2022 across multidisciplinary hospitals in three cities of Kazakhstan. Following group matching with propensity score for COVID-19 disease severity, residence status, and age, the study ultimately included 156 participants, of whom 50% were pregnant, from an initial sample of 314 female inpatients diagnosed with COVID-19.

Analysis of differential expression of matrix metalloproteinases and defensins in the nasopharyngeal milieu of mild and severe COVID-19 cases.

Introduction: A subset of COVID-19 disease patients suffers a severe form of the illness; however, underlying early pathophysiological mechanisms associated with the severe form of COVID-19 disease remain to be fully understood. Several studies showed the association of COVID-19 disease severity with the changes in the expression profile of various matrix metalloproteinases (MMPs) and defensins (DA). However, the link between the changes in the expression of MMPs and DA in the nasopharyngeal milieu during early phases of infection and disease severity remains poorly understood.

A Longitudinal Assessment of Metabolic Syndrome.

: Metabolic syndrome (MetS) is a combination of conditions including central obesity, high blood pressure, high glucose levels, and abnormal triglycerides and cholesterol, which together increase the chances of heart disease, diabetes, and even death. The rates of MetS are different around the world, with 20-30% in Europe and 21.8-23.

Impact of COVID-19 on Utilization of Healthcare Services Among People Living with HIV (PLHIV): A Systematic Review.

People living with HIV/AIDS have been impacted notably by the COVID-19 pandemic in diverse dimensions. Although some impacts of COVID-19 on PLHIV have been well documented, there is still insufficient research that captures the overall understanding of the implications of COVID-19 for the healthcare utilization among PLHIV. This review aims to evaluate the impact of COVID-19 on PLHIV, narrowing it down to women living with HIV/AIDS.

Predicting Intensive Care Unit Admission in COVID-19-Infected Pregnant Women Using Machine Learning.

: The rapid onset of COVID-19 placed immense strain on many already overstretched healthcare systems. The unique physiological changes in pregnancy, amplified by the complex effects of COVID-19 in pregnant women, rendered prioritization of infected expectant mothers more challenging. This work aims to use state-of-the-art machine learning techniques to predict whether a COVID-19-infected pregnant woman will be admitted to ICU (Intensive Care Unit).

The impact of PPARγ and ApoE gene polymorphisms on susceptibility to diabetic kidney disease in type 2 diabetes mellitus: a meta-analysis.

Background: Globally, diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease, imposing substantial social and economic costs. This meta-analysis was designed to provide valuable insights into gene-disease interactions by investigating the potential association between lipid metabolism gene polymorphisms and the risk of DKD.

Methods: An electronic literature search was conducted on MEDLINE Complete, Web of Science, Embase, and PubMed.

Association of Gene Variants with Adverse Perinatal Outcomes in COVID-19 Infected Pregnant Women in Kazakhstan.

SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptors located on membranes to enter host cells. Nevertheless, the gene primarily encodes for a zinc metalloproteinase, which is a part of the renin-angiotensin system (RAS). ACE2 downregulation results in the deregulation of RAS in favor of pro-fibrosis, pro-apoptosis, oxidative stress, pro-inflammation, aldosterone production and release, and blood vessel contraction axis.

Burden of Parkinson's disease in Central Asia from 1990 to 2021: findings from the Global Burden of Disease study.

Background: Central Asia is known to face various ecological challenges that constitutes major risk factors for Parkinson's disease (PD). This study examines the burden of PD in Central Asia, a region where data on neurological disorders is notably sparse.

Methods: Building on the latest Global Burden of Disease Study (GBD 2021), this study investigates the Years of Life Lost (YLLs), Years Lived with Disability (YLDs), and Disability-Adjusted Life Years (DALYs) associated with PD in Central Asia and its countries from 1990 to 2021.

Characterization of COVID-19 infected pregnant women with ICU admission and the risk of preterm: A cluster analysis.

Background: The unique physiological changes during pregnancy present challenges in understanding the full scope and effects of COVID-19 on pregnant women, adding complexity to their medical management. Given the significant changes in the immune, circulatory, respiratory, and hormonal systems during the progression of the pregnancy, and the specific factors with higher risk of COVID-19, like metabolic, vascular, and endothelial factors, typically also associated with maternal and neonatal unfavorable outcomes, the full understanding of how COVID-19 affects pregnant women is not clarified yet.

Methods: In this study, anonymous data from medical records of pregnant women with lab-confirmed COVID-19 in Astana, Kazakhstan from May 1, 2021, to July 14, 2021, were collected retrospectively.

Genome-wide Association Studies of Diabetic Kidney Disease in East Asians With Type 2 Diabetes: Achievements and Future Perspectives.

Diabetic kidney disease is a devastating diabetic complication, affecting up to half of people suffering from diabetes. The global burden of diabetic kidney disease is steadily increasing worldwide along with the growing prevalence of type 2 diabetes. The epidemic rise of type 2 diabetes is primarily observed in Asia, including the East Asian regions.

The Worldwide Prevalence of Internet Addiction among Medical Students: A Systematic Review and Meta-Analysis.

Background: The internet helps us obtain necessary information, facilitates social communication, and provides access to entertainment content. The internet can also lead to the behavioral addictive condition termed internet addiction (IA) if used excessively. As active internet users, medical students are susceptible to IA, which is known to lead to depression and improper medical care delivery, poor academic performance, worse sleep quality, and undesirable financial issues.

Understanding the impact of endometriosis on women's life: an integrative review of systematic reviews.

Background: Endometriosis is a challenging chronic condition with a significant impact on women's well-being. This systematic review of systematic reviews aims to assess the evidence investigating the intricate interplay between endometriosis and quality of life (QoL).

Methods: A systematic review was performed for English-language studies up to January 2022 to identify systematic reviews with and without meta-analysis analyzing quantitative or qualitative data The following databases were searched: Scopus, PubMed, Embase, Web of Science and Cochrane Central Register of Controlled Trials.

Estimating the Real Impact of the COVID-19 Pandemic in Kazakhstan: Factors Associated with Detection of the "True Infections".

The COVID-19 pandemic is ongoing worldwide, and various case and death numbers are being reported to track its spread. However, the number of actual cases is uncertain due to under-reporting. Using mortality data as a more reliable indicator, this study in Kazakhstan evaluated the extent of under-reporting and under-detection of COVID-19 cases from March 2020 to September 2022 using back-casting and capture-recapture methods.

The effect of older population on public health spending: Evidence from Spain.

Background: The gradual ageing of the population, and its effect on public spending, constitutes an urgent challenge for advanced economies. Through this study, we analyse the effect of older people, and their health and individual characteristics, on public health spending.

Methods: Using logistic regression methods, we have analysed the use of different health services and health technologies by older people in Spain, controlled for several health, socioeconomic, and other individual factors.

Differential analysis of histopathological and genetic markers of cancer aggressiveness, and survival difference in EBV-positive and EBV-negative prostate carcinoma.

Several studies have shown an association between prostate carcinoma (PCa) and Epstein-Barr virus (EBV); however, none of the studies so far have identified the histopathological and genetic markers of cancer aggressiveness associated with EBV in PCa tissues. In this study, we used previously characterized EBV-PCR-positive (n = 39) and EBV-negative (n = 60) PCa tissues to perform an IHC-based assessment of key histopathological and molecular markers of PCa aggressiveness (EMT markers, AR expression, perineural invasion, and lymphocytic infiltration characterization). Additionally, we investigated the differential expression of key oncogenes, EMT-associated genes, and PCa-specific oncomiRs, in EBV-positive and -negative tissues, using the qPCR array.

Impact of the COVID-19 pandemic on access to and delivery of maternal and child healthcare services in low-and middle-income countries: a systematic review of the literature.

Background: The COVID-19 pandemic has had a multifaceted impact on maternal and child services and adversely influenced pregnancy outcomes. This systematic review aims to determine the impact of the COVID-19 pandemic on access to and delivery of maternal and child healthcare services in low- and middle-income countries.

Methods: The review was reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Predictive Role of Progesterone Levels for IVF Outcome in Different Phases of Controlled Ovarian Stimulation for Patients With and Without Endometriosis: Expert View.

The study aimed to review the role of basal, trigger, and aspiration day progesterone levels (PLs) as predictors of in vitro fertilization (IVF) success for patients with and without endometriosis. A non-systematic review was conducted by searching papers published in English during the period of 1990-2023 in MEDLINE and PubMed, Embase, The Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register), and Web of Science. The most widely used IVF predictor success was the trigger day progesterone serum level.

Menopausal Status Impact on the Quality of Life in Kazakhstani Healthcare Workers: A Cross-sectional Study.

Background: Menopausal quality of life (MenQoL) is a common concern that primary healthcare workers often encounter. Menopause has a significant impact on women's health, but studies examining its effect on the MenQoL of menopausal healthcare employees have produced conflicting results.

Objective: The aim of this study was to compare the quality of life related to menopausal status (pre-, peri-, or postmenopausal) in healthcare workers from various clinical settings in Kazakhstan.