Dataset Information

Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019.

ABSTRACT:

Background

We aimed to explore descriptive epidemiology of T1 and T2 Diabetes Mellitus (DM) and to investigate demographic factors and comorbidities associated with all-cause mortality by aggregating and utilizing large-scale administrative healthcare data from the Unified National Electronic Health System (UNEHS) of Kazakhstan for 2014-2019 years period.

Methods

A total of 475,539 individuals were included in the analyses. The median years of follow-up for Type 1 DM patients accounted for 4.7 years and 4.5 years in Type 2 DM patients. We used Kaplan-Meier and log-rank test to calculate failure function and differences in survival by age, sex, ethnicity, and comorbidities with all-cause mortality for Type 1 and Type 2 DM. Cox proportional hazards regression analysis was used to obtain crude and adjusted hazard ratios.

Results

Prevalence of Type 1 and Type 2 DM increased 1.7 times from 2014 to 2019. Mortality of Type 1 and Type 2 DM also increased 4 times and 6 times from 2014 to 2019, respectively. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh in patients with Type 1 and Type 2 DM. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death.

Conclusion

The prevalence and mortality rate of Type 1 and Type 2 DM increased during the years 2014-2019 in Kazakhstan. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death.

SUBMITTER: Galiyeva D

PROVIDER: S-EPMC9650815 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019.

Galiyeva Dinara D Gusmanov Arnur A Sakko Yesbolat Y Issanov Alpamys A Atageldiyeva Kuralay K Kadyrzhanuly Kainar K Nurpeissova Aiymzhan A Rakhimzhanova Marzhan M Durmanova Aigul A Sarria-Santamera Antonio A Gaipov Abduzhappar A

BMC endocrine disorders 20221111 1

<h4>Background</h4>We aimed to explore descriptive epidemiology of T1 and T2 Diabetes Mellitus (DM) and to investigate demographic factors and comorbidities associated with all-cause mortality by aggregating and utilizing large-scale administrative healthcare data from the Unified National Electronic Health System (UNEHS) of Kazakhstan for 2014-2019 years period.<h4>Methods</h4>A total of 475,539 individuals were included in the analyses. The median years of follow-up for Type 1 DM patients acco ...[more]

PMID: 36368961

Similar Datasets

Project description:BackgroundEndometriosis is a condition affecting reproductive-age women and associated with dysmenorrhea, pelvic organs dysfunction, pelvic pain, and infertility. The real epidemiology of endometriosis remains underestimated. No data are available on prevalence of endometriosis in Kazakhstan. Therefore, the aim of this was to investigate the epidemiology, complications, surgical management approach, and outcomes of endometriosis in Kazakhstan by analyzing large-scale Kazakhstani healthcare data from the Unified Nationwide Electronic Health System (UNEHS).MethodsA population-based study among women with endometriosis treated in any healthcare setting of the Republic of Kazakhstan during the period of 2014-2019 was performed. The International Classification of Diseases (ICD) 10th edition was used to retrieve data on endometriosis ("N80" and "N97"). ICD 9th edition's procedural codes were utilized to retrieve information on surgical procedures performed to manage patients with endometriosis.ResultsIn total, 7,682 records of women diagnosed with endometriosis were analyzed from all Kazakhstani regions. The overall prevalence of endometriosis among Kazakhstani female population was 0.12%, with 50.1% of them suffering from endometriosis of the uterus, 34.5% with ovarian endometriosis, and 9.5% with endometriosis of pelvic peritoneum. The most affected group was reproductive-age women (25-44 years old). Endometriosis rates were higher among women of 35-39, 40-44, and 45-49 years old age groups - 0.4 per 1000 women of corresponding age. The most common procedures performed for surgical management were laparoscopic cystectomy and closed biopsy of the uterus, 16.4 and 13.5%, respectively.ConclusionAmong all registered cases of endometriosis, ovarian endometriosis is the most prevalent condition. However, the analysis of the UNEHS records on endometriosis reveals incomplete and inconsistent registration of the disease, which results in the underestimation of the disease's real burden. Clinical specialist and health authorities in Kazakhstan must work to ensure the endometriosis proper diagnosis end registration to improve the disease management and outcomes.

Project description:BackgroundCardiovascular 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.AimThe aim of this study is to present the burden of AMI in Kazakhstan and describe the outcome of hospitalized patients.MethodsThe 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.ResultsThe 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.ConclusionThis 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.

Project description:Background and Objectives: Nowadays, every tenth adult in the world suffers from diabetes mellitus (DM). Diabetic retinopathy (DR) is the most common microvascular complication of type 2 DM (T2DM) and a leading cause of acquired blindness in middle-aged individuals in many countries. Previous studies have identified associations of several gene polymorphisms with susceptibility to microvascular complications of DM in various worldwide populations. In our study, we aimed to test the hypothesis of the associations of single nucleotide polymorphisms (SNP) of the VEGF (-2549I/D), RAGE (-429T/C and -374T/A), TCF7L2 (rs7903146), and ITGA2 (BglII) genes with a predisposition to DR among T2DM patients in the Kazakhstan population. Materials and Methods: We conducted a case-control study comparing the genotype distribution and allele frequencies between groups of DR patients (N = 94), diabetic patients without DR (N = 94), and healthy controls (N = 51). Genotypes were identified using the PCR-RFLP method. Results: In all cases, the genotype distribution corresponded to the Hardy-Weinberg equilibrium. The groups of diabetic patients with and without DR did not significantly differ in the genotype distribution of the SNPs studied. Differences between both groups of diabetic patients and healthy controls in four out of five SNPs were also not significant. At the same time, both groups of diabetic patients differed significantly from healthy controls in genotype distribution (p = 0.042 and 0.005, respectively) and allele frequencies (p = 0.021 and 0.002, respectively) of the BglII polymorphism in the ITGA2 gene. After adjusting for multiple comparisons, the differences between the group of diabetic patients without DR and the control group remained significant (pBonf = 0.027 for genotypes and pBonf = 0.009 for alleles). The BglII- allele was associated with diabetes: OR = 1.81 [1.09-2.99] for DR patients, and OR = 2.24 [1.34-3.75] for diabetic patients without DR. The association was also observed in the subset of Kazakhs. Conclusions: This study shows that the BglII polymorphism in the ITGA2 gene can be associated with T2DM but not with DR. According to our data, the risk allele for diabetes is the wild BglII- allele, and not the minor BglII+, which is considered as risky for DR.

Project description:BackgroundThe comprehensive epidemiology and impact of climate on viral meningitis (VM) in Kazakhstan are unknown. We aimed to study the incidence, in-hospital mortality and influence of climatic indicators on VM from 2014 to 2019.MethodsNationwide electronic healthcare records were used to explore this study. ICD-10 codes of VM, demographics, and hospital outcomes were evaluated using descriptive statistics and survival analysis.ResultsDuring the 2014-2019 period, 10,251 patients with VM were admitted to the hospital. 51.35% of them were children, 57.85% were males, and 85.9% were from the urban population. Enteroviral meningitis was the main cause of VM in children. The incidence rate was 13 and 18 cases per 100,000 population in 2014 and 2019, respectively. Case fatality rate was higher in 2015 (2.3%) and 2017 (2.0%). The regression model showed 1°C increment in the daily average temperature might be associated with a 1.05-fold (95% CI 1.047-1.051) increase in the daily rate of VM cases, 1hPa increment in the average air pressure and 1% increment in the daily average humidity might contribute to a decrease in the daily rate of VM cases with IRRs of 0.997 (95% CI 0.995-0.998) and 0.982 (95% CI 0.981-0.983), respectively. In-hospital mortality was 35% higher in males compared to females. Patients residing in rural locations had a 2-fold higher risk of in-hospital death, compared to city residents. Elderly patients had a 14-fold higher risk of in-hospital mortality, compared to younger patients.ConclusionThis is the first study in Kazakhstan investigating the epidemiology and impact of climate on VM using nationwide healthcare data. There was a tendency to decrease the incidence with outbreaks every 5 years, and mortality rates were higher for Russians and other ethnicities compared to Kazakhs, for males compared to females, for elder patients compared to younger patients, and for patients living in rural areas compared to city residents. The climatic parameters and the days of delay indicated a moderate interaction with the VM cases.

Project description:ImportanceDiabetes in children is a global epidemic that causes various medical conditions associated with an increased incidence of premature death.ObjectiveTo investigate the trends in diabetes incidence, mortality, and disability-adjusted life-years (DALYs) in children, with risk factors for diabetes-associated death, from 1990 to 2019.Design, setting, and participantsThis was a cross-sectional study that used data from the Global Burden of Diseases (GBD) 2019 in 204 countries and territories. Children with diabetes who were aged 0 to 14 years were included in the analysis. Data were analyzed from December 28, 2022, to January 10, 2023.ExposureChildhood diabetes from 1990 to 2019.Main outcome measuresIncidence, all-cause and cause-specific deaths, DALYs, and corresponding estimated annual percentage changes (EAPCs). These trends were stratified according to region, country, age, sex, and Sociodemographic Index (SDI).ResultsA total of 1 449 897 children (738 923 male [50.96%]) were included in the analysis. In 2019, there were 227 580 incident cases of childhood diabetes worldwide. Cases of childhood diabetes increased by 39.37% (95% uncertainty interval [UI], 30.99%-45.45%) from 1990 to 2019. Over 3 decades, diabetes-associated deaths decreased from 6719 (95% UI, 4823-8074) to 5390 (95% UI, 4450-6507). The global incidence rate increased from 9.31 (95% UI, 6.56-12.57) to 11.61 (95% UI, 7.98-15.98) per 100 000 population; however, the diabetes-associated death rate decreased from 0.38 (95% UI, 0.27-0.46) to 0.28 (95% UI, 0.23-0.33) per 100 000 population. Among the 5 SDI regions, the low SDI region had the highest childhood diabetes-associated mortality rate in 2019. Regionally, North Africa and the Middle East had the largest increase in incidence (EAPC, 2.06; 95% CI, 1.94-2.17). Among 204 countries, Finland had the highest national incidence of childhood diabetes in 2019 (31.60 per 100 000 population; 95% UI, 22.65-40.36), Bangladesh had the highest diabetes-associated mortality rate (1.16 per 100 000 population; 95% UI, 0.51-1.70), and the United Republic of Tanzania had the highest DALYs rate (100.16 per 100 000 population; 95% UI, 63.01-155.88). Globally, environmental/occupational risk, nonoptimal temperature, high temperature, and low temperature were key risk factors for childhood diabetes-associated mortality in 2019.Conclusions and relevanceChildhood diabetes is an increasing global health challenge with rising incidence. Results of this cross-sectional study suggest that despite the global decline in deaths and DALYs, the number of deaths and DALYs remains high among children with diabetes, especially in low SDI regions. Improved understanding of the epidemiology of diabetes in children may facilitate prevention and control.

Dataset Information

Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019.

Background

Methods

Results

Conclusion

Publications

Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets