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. A primary search of electronic databases was performed using a combination of search terms related to the following areas of interest: "impact' AND 'COVID-19' AND 'maternal and child health services' AND 'low- and middle-income countries. A narrative synthesis approach was used to analyse and integrate the results. Results: Overall, 45 unique studies conducted across 28 low- and middle-income countries met the inclusion criteria for the review. The findings suggest the number of family planning visits, antenatal and postnatal care visits, consultations for sick children, paediatric emergency visits and child immunisation levels decreased compared to the pre-pandemic levels in the majority of included studies. An analytical framework including four main categories was developed based on the concepts that emerged from included studies: the anxiety of not knowing (1), overwhelmed healthcare systems (2), challenges perceived by healthcare professionals (3) and difficulties perceived by service users (4). Conclusion: The COVID-19 pandemic disrupted family planning services, antenatal and postnatal care coverage, and emergency and routine child services. Generalised conclusions are tentative due to the heterogeneity and inconsistent quality of the included studies. Future research is recommended to define the pandemic's impact on women and children worldwide and prepare healthcare systems for future resurgences of COVID-19 and potential challenges beyond. Systematic review registration: PROSPERO (CRD42021285178).

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. DESIGN: This was a cross-sectional study. PARTICIPANTS: In total, 222 menopausal healthcare workers (physicians, nurses/midwives, administrative staff, and cleaners) were enrolled from hospitals affiliated with the University Medical Center (UMC) in Kazakhstan. MAIN MEASURES: The outcome variable was assessed using the Menopausal Quality of Life Questionnaire (MENQOL), which evaluates MenQoL across four domains of menopausal symptoms: physical, psychological, vasomotor, and sexual. KEY RESULTS: The most frequently reported menopausal symptoms were physical ones, such as feeling tired or worn out (70.7%), followed by feeling a lack of energy (65.3%) and dry skin (64.1%). The postmenopause group had the highest mean MenQoL score in the vasomotor domain (mean 3.46 ± 1.84). There was a borderline statistical significance when comparing postmenopause and perimenopause groups in the physical domain. The pairwise comparison of mean sexual scores revealed that postmenopause women had the highest average score (3.3 ± 2.36) compared to both premenopause (mean 2.3 ± 1.82) and perimenopause (mean 2.22 ± 1.58) groups (p < 0.05). CONCLUSIONS: Menopausal status has influence on the MenQoL of healthcare workers. The study findings could have important implications for policymakers as they provide insight into the factors influencing the quality of life of menopausal healthcare employees. Creating a more menopause-friendly work environment may not only enhance the well-being of healthcare personnel but also improve their overall job satisfaction and performance.

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. Many studies utilize the threshold level of 1.5-2.0 ng/ml. However, the predictive power of only progesterone level failed to show high sensitivity and specificity. Contrary, progesterone level on the trigger day combined with the number of mature retrieved oocytes had the highest predictive power. High baseline progesterone level was associated with poor IVF outcomes. Research on progesterone and IVF success in patients with endometriosis is limited but indicates that endometriosis patients seem to benefit from higher progesterone concentrations (≥ 37.1 ng/ml) in IVF cycles. Currently, there is limited data for a definitive insight into the mportance of progesterone in the estimation of IVF success. Nonetheless, this summarized evidence could serve as up-to-date guidance for the role of progesterone in the prediction of IVF outcomes, both in patients with and without endometriosis.

"Who Else If Not Us": An Exploratory-Descriptive Qualitative Study of Kazakhstani Frontline Professionals' Experience and Perceptions During the Coronavirus Disease 2019 Pandemic.

Little is known about the experiences of frontline professionals in Kazakhstan. Although studies of frontline workers have been conducted worldwide, it is imperative that caution should be exercised when extrapolating findings from disparate societies and generalizing them to Central Asian countries. As such, the purpose of this study was to explore and describe the firsthand experiences, perceptions, and knowledge gained from the experience of Kazakh frontline physicians and nurses during the COVID-19 pandemic. An exploratory-descriptive qualitative (EDQ) study was conducted over the course of a year in COVID-19 hospitals in Kazakhstan, with physicians (n = 23) and nurses (n = 7). Each participant was interviewed three times between May 2021 and May 2022. Braun and Clarke's six-step method was used for the thematic analysis. Three overarching themes and subthemes were identified: (1) Longitudinal Journey ("Nobody knew, nobody understood, nobody was ready"; "It's just life"); (2) Facets of Professionalism ("In my lifetime this is something unique"; "Who else if not us"; "We survived the war and the enemy"); and (3) Facets of Resilience ("God's providence"; "A good word heals too"). In light of the lack of research that has previously been conducted in Kazakhstan, the results of this study offer important new insight into the experiences of medical professionals during the COVID-19 epidemic.

Diagnosis of Endometriosis Based on Comorbidities: A Machine Learning Approach.

Endometriosis is defined as the presence of estrogen-dependent endometrial-like tissue outside the uterine cavity. Despite extensive research, endometriosis is still an enigmatic disease and is challenging to diagnose and treat. A common clinical finding is the association of endometriosis with multiple diseases. We use a total of 627,566 clinically collected data from cases of endometriosis (0.82%) and controls (99.18%) to construct and evaluate predictive models. We develop a machine learning platform to construct diagnostic tools for endometriosis. The platform consists of logistic regression, decision tree, random forest, AdaBoost, and XGBoost for prediction, and uses Shapley Additive Explanation (SHAP) values to quantify the importance of features. In the model selection phase, the constructed XGBoost model performs better than other algorithms while achieving an area under the curve (AUC) of 0.725 on the test set during the evaluation phase, resulting in a specificity of 62.9% and a sensitivity of 68.6%. The model leads to a quite low positive predictive value of 1.5%, but a quite satisfactory negative predictive value of 99.58%. Moreover, the feature importance analysis points to age, infertility, uterine fibroids, anxiety, and allergic rhinitis as the top five most important features for predicting endometriosis. Although these results show the feasibility of using machine learning to improve the diagnosis of endometriosis, more research is required to improve the performance of predictive models for the diagnosis of endometriosis. This state of affairs is in part attributed to the complex nature of the condition and, at the same time, the administrative nature of our features. Should more informative features be used, we could possibly achieve a higher AUC for predicting endometriosis. As a result, we merely perceive the constructed predictive model as a tool to provide auxiliary information in clinical practice.

Association of Interferon Lambda 3 and 4 Gene SNPs and Their Expression with COVID-19 Disease Severity: A Cross-Sectional Study.

Introduction: Expression and certain SNPs of interferon lambda 3 and 4 (IFNL3 and 4) have been associated with variable outcomes in COVID-19 patients in different regions, suggesting population-specific differences in the disease outcome. This study examined the association of INFL3 and INFL4 SNPs (rs12979860 and rs368234815, respectively) and nasopharyngeal expression with COVID-19 disease severity in Pakistani patients. Methods: For this study, 117 retrospectively collected nasopharyngeal swab samples were used from individuals with mild and severe COVID-19 disease. qPCR assays were used to determine the viral loads and mRNA expression of IFNL3 and 4 through the Ct and delta Ct methods, respectively. Due to funding limitations, only one SNP each in INFL3 and INFL4 (found to be most significant through literature search) was analyzed using tetra-arm PCR and RFLP-PCR strategies, respectively. The Mann-Whitney U-test was applied to evaluate the statistical differences in the expression of IFNL3/4 genes in the mild and severe groups, while for SNPs, a Chi-square test was employed. A multivariate Cox regression test was performed to assess the relationship of different variables with COVID-19 severity. Results: Comparative analysis of SNPs between mild and severe groups showed only the difference in SNP of the IFNL4 gene to be statistically significant (p = 0.001). Similarly, nasopharyngeal expression of IFNL3 and IFNL4 genes, respectively, was found to be 3.48-fold less and 3.48-fold higher in the severe group as compared to the mild group. Multivariate analysis revealed SNP in the IFNL4 gene and age to have a significant association with COVID-19 severity. Conclusion: Despite the small sample size, IFNL4 gene SNP and patient age were associated with COVID-19 severity. Age, IFNL3/IFNL4 mRNA expression in the nasopharyngeal milieu, and the presence of SNP in the IFNL4 (rs368234815) gene in COVID-19 patients may be biomarkers for infection severity and help improve SARS-CoV-2 infection management.

Epidemiology of tuberculosis in Kazakhstan: data from the Unified National Electronic Healthcare System 2014-2019.

OBJECTIVES: This study aims to estimate tuberculosis (TB) incidence, mortality rates and survival HRs in Kazakhstan, using large-scale administrative health data records during 2014-2019. DESIGN: A retrospective cohort study. SETTINGS: Data for patients with TB in Kazakhstan during 2014-2019, reported in the Unified National Electronic Healthcare System. PARTICIPANTS: Patients with TB in Kazakhstan (ICD-10 (The International Classification of Diseases, 10th revision) codes: A15-A19). OUTCOME MEASURES: Demographic factors, diagnoses and comorbidities were analysed using descriptive, bivariate and multivariable statistical analyses. TB incidence and mortality rates were calculated, and Cox regression and Kaplan-Meier survival analysis were performed to assess risk factors for survival rates. RESULTS: Of the 149 122 patients with TB, 91 437 (61%) were males, and 139 931 (94%) had respiratory TB. From 2014 to 2019, TB incidence declined from 227 to 15.2 per 100 000 individuals, while all-cause mortality increased from 8.4 to 15.2 per 100 000. Age-specific TB incidence was lowest for 0-10 years of age and highest for 20 years of age. Being older, man, urban residence versus rural, retired versus employed, having HIV and having diabetes versus no comorbidities were associated with lower survival rates. CONCLUSION: To date, this is the largest TB published study for Kazakhstan, characterising TB incidence and mortality trends by demographic factors, and risk factors for survival rates. The findings highlight the need for targeted interventions to address the growing burden of TB, particularly among older adults, men, urban residents and those with HIV and diabetes. The study underscores the importance of using administrative health data to inform policy and health system responses to TB in Kazakhstan.

Unveiling the Role of the Work Environment in the Quality of Life of Menopausal Physicians and Nurses.

BACKGROUND: There is a lack of scientific evidence regarding the specific challenges faced by menopausal medical professionals in different work settings. This study aims to investigate the relationship between work environment and the menopausal quality of life (QoL) in physicians and nurses. METHODS: This survey was conducted using the Menopausal Quality of Life Questionnaire (MENQOL) with a sample of 35 menopausal physicians and 95 nurses employed in health facilities in Astana and Kyzylorda cities, Kazakhstan. RESULTS: Physicians reported a higher frequency of menopausal symptoms compared to nurses. The difference was statistically significant (p < 0.05) for symptoms such as decreased productivity (60.00% vs. 38.20%), flatulence or gas pains (71.43% vs. 48.39%), weight gain (79.41% vs. 61.80%), changes in skin appearance (79.59% vs. 50.00%), and changes in sexual desire (58.82% vs. 33.70%). Physicians with managerial duties had a significantly higher occurrence of vasomotor symptoms compared to non-managerial physicians (mean 3.35 ± 2.14 vs. 1.69 ± 0.89) and also had a higher mean psychological score (mean 3.26 ± 1.28 vs. 2.29 ± 1.19). CONCLUSIONS: These findings reflect differences between the menopause effects related to work environment for doctors and nurses, and shed light on the specific challenges faced by them during menopause. In addition, it is important to consider socio-demographic and workplace-related factors in investigating their impact on the QoL.

A Novel Classification of Endometriosis Based on Clusters of Comorbidities.

Endometriosis is a heterogeneous, complex, and still challenging disease, due to its epidemiological, etiological and pathogenic, diagnostic, therapeutic, and prognosis characteristics. The classification of endometriosis is contentious, and existing therapies show significant variability in their effectiveness. This study aims to capture and describe clusters of women with endometriosis based on their comorbidity. With data extracted from electronic records of primary care, this study performs a hierarchical clustering with the Ward method of women with endometriosis with a subsequent analysis of the distribution of comorbidities. Data were available for 4055 women with endometriosis, and six clusters of women were identified: cluster 1 (less comorbidity), cluster 2 (anxiety and musculoskeletal disorders), cluster 3 (type 1 allergy or immediate hypersensitivity); cluster 4 (multiple morbidities); cluster 5 (anemia and infertility); and cluster 6 (headache and migraine). Clustering aggregates similar units into similar clusters, partitioning dissimilar objects into other clusters at a progressively finer granularity-in this case, groups of women with similarities in their comorbidities. Clusters may provide a deeper insight into the multidimensionality of endometriosis and may represent diverse "endometriosis trajectories" which may be associated with specific molecular and biochemical mechanisms. Comorbidity-based clusters may be important to the scientific study of endometriosis, contributing to the clarification of its clinical complexity and variability. An awareness of those comorbidities may help elucidate the etiopathogenesis and facilitate the accurate earlier diagnosis and initiation of treatments targeted toward particular subgroups.

Incidence, mortality and disability-adjusted life years of acute myocardial infarction in Kazakhstan: data from unified national electronic healthcare system 2014-2019.

Background: Cardiovascular diseases contribute to premature mortality globally, resulting in substantial social and economic burdens. The Global Burden of Disease (GBD) Study reported that in 2019 alone, heart attack and strokes accounted for the deaths of 18.6 million individuals. Ischemic heart diseases, including acute myocardial infarction (AMI), accounted for 182 million disability-adjusted life years (DALYs) and it is leading cause of death worldwide. Aim: The aim of this study is to present the burden of AMI in Kazakhstan and describe the outcome of hospitalized patients. Methods: The data of 79,172 people admitted to hospital with ICD-10 diagnosis I21 between 2014 and 2019 was derived from the Unified National Electronic Health System and retrospectively analyzed. Results: The majority of the cohort (53,285, 67%) were men, with an average age of 63 (±12) years, predominantly of Kazakh (38,057, 48%) and Russian (24,583, 31%) ethnicities. Hypertension was the most common comorbidity (61,972, 78%). In males, a sharp increase in incidence is present after 40 years, while for females, the morbidity increases gradually after 55. Throughout the observation period, all-cause mortality rose from 101 to 210 people per million population (PMP). In 2019, AMI account for 169,862 DALYs in Kazakhstan, with a significant proportion (79%) attributed to years of life lost due to premature death (YLDs). Approximately half of disease burden due to AMI (80,794 DALYs) was in age group 55-69 years. Although incidence is higher for men, they have better survival rates than women. In terms of revascularization procedures, coronary artery bypass grafting yielded higher survival rates compared to percutaneous coronary intervention (86.3% and 80.9% respectively) during the 5-year follow-up. Conclusion: This research evaluated the burden and disability-adjusted life years of AMI in Kazakhstan, the largest Central Asian country. The results show that more effective disease management systems and preventive measures at earlier ages are needed.

Reproductive and Obstetric Outcomes after Fertility-Sparing Treatments for Cervical Cancer: Current Approach and Future Directions.

Cervical cancer is one of the leading causes of cancer-related death in women of reproductive age. The established fertility-sparing approaches for the management of early-stage cervical cancer for women who plan pregnancy are associated with a decline in fecundity and an increased risk of pregnancy complications. This article aims to offer an overview of fertility-sparing approaches and the management of potential subfertility and pregnancy complications after these treatments. An extensive search for the available data about infertility and cervical cancer, fertility-sparing techniques in patients with cervical cancer, fertility treatment, obstetrical complications, and pregnancy outcomes in cervical cancer patients was completed. Fertility-preserving procedures such as loop electrosurgical excision procedure (LEEP), cold-knife conization, and trachelectomy in women diagnosed with cervical cancer can be considered as safe and effective treatments that preserve reproductive potential. Current fertility-preserving procedures, based on the balance of the oncological characteristics of patients as well as their desire for reproduction, allow one to obtain acceptable reproductive and obstetric outcomes in women treated for cervical cancer. Nevertheless, careful monitoring of pregnancies obtained after fertility-preserving procedures is recommended, since this cohort of patients should be considered at higher risk compared with a healthy population.

Associations of Clusters of Cardiovascular Risk Factors with Insulin Resistance and Β-Cell Functioning in a Working-Age Diabetic-Free Population in Kazakhstan.

Cardiovascular risk factors aggregate in determined individuals. Patients with Type 2 diabetes mellitus (T2DM) have higher cardiovascular This study aimed to investigate insulinresistance (IR) and ß-cell function using the homeostasis model assessment (HOMA) indexes in a general Kazakh population and determine the effect he effect that cardiovascular factors may have on those indexes. We conducted a cross-sectional study among employees of the Khoja Akhmet Yassawi International Kazakh-Turkish University (Turkistan, Kazakhstan) aged between 27 and 69 years. Sociodemographic variables, anthropometric measurements (body mass, height, waist circumference, hip circumference), and blood pressure were obtained. Fasting blood samples were collected to measure insulin, glucose, total cholesterol (TC), triglycerides (TG), and high- (HDL) andlow-density lipoprotein (LDL) levels. Oral glucose tolerance tests were performed. Hierarchical and K-means cluster analyses were obtained. The final sample was composed of 427 participants. Spearmen correlation analysis showed that cardiovascular parameters were statistically associated with HOMA-ß (p < 0.001) and not with HOMA IR. Participants were aggregated into the three clusters where the cluster with a higher age and cardiovascular risk revealed deficient ß-cell functioning, but not IR (p < 0.000 and p = 0.982). Common and easy to obtain biochemical and anthropometric measurements capturing relevant cardiovascular risk factors have been demonstrated to be associated with significant deficiency in insulin secretion. Although further longitudinal studies of the incidence of T2DM are needed, this study highlights that cardiovascular profiling has a significant role not just for risk stratification of patients for cardiovascular prevention but also for targeted vigilant glucose monitoring.

The Effect of Coronavirus Outbreak on the Utilization of Coronary Revascularization Procedures: An Interrupted Time Series Analysis.

The coronavirus disease 19 (COVID-19) pandemic represented a great challenge for health systems, which had to quickly readapt and dedicate most of their resources to managing this crisis. The postponement of programmed interventions such as coronary revascularization procedures represented a critical issue in the first wave of the COVID-19 pandemic, especially in the hardest-hit countries such as Spain. However, the precise consequences of the delay of coronary revascularizations are not clearly determined. In the present work, interrupted time series (ITS) analysis was used to evaluate the utilization rates and assessment of the risk profiles of patients receiving two main coronary revascularization procedures (percutaneous coronary intervention-PCI and coronary artery bypass graft-CABG) and compared them in the periods before and after March 2020 using the Spanish National Hospital Discharge Database (SNHDD). Our results show that the abrupt reorganization of hospital care that represented the first wave of COVID-19 in March 2020 in Spain led to a reduction in cases, which was accompanied by an increase in the risk profile of CABG patients, but not PCI. On the other hand, the risk profile of both coronary revascularization procedures began before the pandemic, showing a significant temporal trend toward an increase in the risk profile. Future works should be directed to study and validate our results, evaluating other databases, regions, or countries.

Reproductive and Obstetric Outcomes after UAE, HIFU, and TFA of Uterine Fibroids: Systematic Review and Meta-Analysis.

Novel treatment options for uterine fibroids, such as uterine artery embolization (UAE), ultrasound-guided and magnetic resonance-guided high-intensity focused ultrasound (USgHIFU and MRgHIFU), and transcervical radiofrequency ablation (TFA) methods, are widely used in clinical practice. This systematic review and meta-analysis (CRD42022297312) aims to assess and compare reproductive and obstetric outcomes in women who underwent these minimally invasive approaches for uterine fibroids. The search was performed in PubMed, Google Scholar, ScienceDirect, Cochrane Library, Scopus, Web of Science and Embase. Risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) and Cochrane guidelines. The articles were selected to meet the following eligibility criteria: (1) research article, (2) human subject research, and (3) the study of pregnancy outcomes after the treatment of uterine fibroids by either one of three methods-UAE, HIFU, and TFA. The analysis of 25 eligible original articles shows a similar rate of live births for UAE, USgHIFU, MRgHIFU, and TFA (70.8%, 73.5%, 70%, and 75%, respectively). The number of pregnancies varied considerably among these studies, as well as the mean age of pregnant women. However, the results of pregnancy outcomes for TFA are insufficient to draw firm conclusions, since only 24 women became pregnant in these studies, resulting in three live births. The miscarriage rate was highest in the UAE group (19.2%). USgHIFU was associated with a higher rate of placental abnormalities compared to UAE (2.8% vs. 1.6%). The pooled estimate of pregnancies was 17.31% to 44.52% after UAE, 18.69% to 78.53% after HIFU, and 2.09% to 7.63% after TFA. The available evidence confirmed that these minimally invasive uterine-sparing treatment options for uterine fibroids are a good approach for patients wishing to preserve their fertility, with comparable reproductive and obstetric outcomes among the different techniques.

Risk Factors and Outcomes in Critically Ill Patients with Hematological Malignancies Complicated by Hospital-Acquired Infections.

Background and objectives: Patients admitted to the intensive care unit (ICU) have an increased risk of hospital-acquired infection (HAI). A diagnosis of cancer alone increases the risk of sepsis three-five-fold, which further increases the risk of nosocomial infection, subsequently deteriorates results, and leads to high mortality. In this study, we aimed to assess the mortality rate among hematologic oncologic patients with suspected infection who were subsequently admitted to the ICU and the predictive factors that are associated with high ICU mortality. Materials and Methods: This retrospective cohort study was conducted in the hematological oncology critical care unit of a tertiary care hospital between November 2017 and February 2021. We analyzed anonymized medical records of hospitalized hematologic oncologic patients who were suspected or proven to have infection in the hematology-oncology department and were subsequently transferred to the ICU. Results: Both shorter hospitalization and shorter ICU stay length were observed in survivors [9.2 (7.7-10.4)] vs. non-survivors [10 (9.1-12.9), p = 0.004]. Sepsis had the highest hazard ratio (7.38) among all other factors, as patients with sepsis had higher mortality rates (98% among ICU non-survivors and 57% among ICU survivors) than those who had febrile neutropenia. Conclusions: The overall ICU mortality in patients with hematologic malignancies was 66%. Sepsis had the highest hazard ratio among all other predictive factors, as patients with sepsis had higher mortality rates than those who had febrile neutropenia. Chronic hepatitis (HBV and HCV) was significantly associated with higher ICU mortality.

Association of CYP24A1 Gene rs6127099 (A > T) Polymorphism with Lower Risk to COVID-19 Infection in Kazakhstan.

In December 2019, SARS-CoV-2 was identified in Wuhan, China. Infection by SARS-CoV-2 causes coronavirus disease 2019 (COVID-19), which is characterized by fever, cough, dyspnea, anosmia, and myalgia in many cases. There are discussions about the association of vitamin D levels with COVID-19 severity. However, views are conflicting. The aim of the study was to examine associations of vitamin D metabolism pathway gene polymorphisms with symptomless COVID-19 susceptibility in Kazakhstan. The case-control study examined the association between asymptomatic COVID-19 and vitamin D metabolism pathway gene polymorphisms in 185 participants, who previously reported not having COVID-19, were PCR negative at the moment of data collection, and were not vaccinated. A dominant mutation in rs6127099 (CYP24A1) was found to be protective of asymptomatic COVID-19. Additionally, the G allele of rs731236 TaqI (VDR), dominant mutation in rs10877012 (CYP27B1), recessive rs1544410 BsmI (VDR), and rs7041 (GC) are worth consideration since they were statistically significant in bivariate analysis, although their independent effect was not found in the adjusted multivariate logistic regression model.

Review of the research databases on population-based Registries of Unified electronic Healthcare system of Kazakhstan (UNEHS): Possibilities and limitations for epidemiological research and Real-World Evidence.

INTRODUCTION: A 'learning healthcare system', based on electronic health records and other routinely collected healthcare data, would allow Real World Data (RWD) to be continuously fed into the system, ensuring that with every new patient treated, we know more overall about the practice of medicine. A judicious use of RWD would complement the traditional evidence from clinical research, for the benefit of all stakeholders involved in healthcare. Lack of data on disease epidemiology in Kazakhstan resonates with lower life expectancy and poorer health indicators compared to countries with analogous income per capita. Usage of primary data collection methods to fill these gaps require additional financial and human resources. Usage of big data, which is routinely collected though healthcare information systems, is considered as a competitive alternative in described circumstances. OBJECTIVE: Development of the Unified National Electronic Healthcare System (UNEHS) in Kazakhstan allowed the creation of research databases to investigate epidemiology of numerous diseases. UNEHS research databases endorse extensive research activities due to a prospective follow-up, coverage of the whole Kazakhstani population and relatively lower expenses to conduct epidemiological studies. This review paper aims to introduce the content and descriptive data on research databases on population-based registries of UNEHS and to discuss opportunities and limitations of its usage. RESULTS AND DISCUSSION: UNEHS databases include medical data on 36.4% of an adult population of Kazakhstan. Research databases presented in this paper contain critical variables that can be utilized for investigation of disease epidemiology, effectiveness of provided medical procedures and infectious disease epidemiology. A few examples accompany a detailed elaboration on the possibilities of research database utilization in epidemiological research. CONCLUSION: Considering numerous advantages, the UNEHS research databases are expected to greatly contribute to healthcare in Kazakhstan by providing critical data on disease epidemiology. To warrant long-term usage and high research output several concerns and limitations should be addressed as well.

Analysis of differential gene expression of pro-inflammatory cytokines in the nasopharyngeal milieu of mild & severe COVID-19 cases.

INTRODUCTION: A subset of individuals with COVID-19 can suffer from a severe form of the disease requiring breathing support for respiratory failure and even death due to disease complications. COVID-19 disease severity can be attributed to numerous factors, where several studies have associated changes in the expression of serum pro-inflammatory cytokines with disease severity. However, very few studies have associated the changes in expression of pro-inflammatory changes in the nasopharyngeal milieu with disease severity. Therefore, in the current study, we performed differential gene expression analysis of various pro-inflammatory cytokines in the nasopharyngeal milieu of mild & severe COVID-19 cases. MATERIAL AND METHOD: For this retrospective, cross-sectional study, a total of 118 nasopharyngeal swab samples, previously collected from mild and severe (based on the WHO criteria) COVID-19 patients were used. A real-time qPCR was performed to determine the viral loads and also evaluate the mRNA expression of eight cytokines (IL-1, IL-2, IL-4, IL-6, IL-10, IFN-γ, TGF-ß1, and TNF-α). Subsequently, an unpaired T-test was applied to compare the statistical difference in mean expression of viral loads and each cytokine between the mild and severe groups, while the Pearson correlation test was applied to establish a correlation between disease severity, viral load, and cytokines expression. Similarly, a multivariable logistic regression analysis was performed to assess the relationship between different variables from the data and disease severity. RESULTS: Out of 118 samples, 71 were mild, while 47 were severe. The mean viral load between the mild and severe groups was comparable (mild group: 27.07± 5.22; severe group: 26.37 ±7.89). The mRNA expression of cytokines IL-2, IL-6, IFN- γ, and TNF-α was significantly different in the two groups (p<0.05), where the Log2 normalized expression of IL-2, IL-6, IFN- γ, and TNF-α was found to be 2.2-, 16-, 2.3-, and 1.73-fold less in the severe group as compared to the mild group. Furthermore, we also observed a significant positive correlation between all the cytokines in the severe group. The multivariate analysis showed a significant relationship between age, IL-6, and disease severity. CONCLUSION: This decreased expression of certain cytokines (IL-2, IL-6, TNF-α, and IFN-γ) in the nasopharyngeal milieu may be considered early biomarkers for disease severity in COVID-19 patients.

Women's Health and Gynecology: Old Challenges and New Insights.

The complexity of women's health goes far beyond medical and surgical knowledge and the achievements of the clinical specialty of Obstetrics and Gynecology, spanning not just the research dimensions of molecular biology, genetics, epidemiology, or health services but also being influenced by gender, social, and psychological relevant factors [...].