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Zhakhina G, Mussina K, Yerdessov S, Gusmanov A, Sakko Y, Kim V, Syssoyev D, Madikenova M, Assan A, Kuanshaliyeva Z, Turebekov D, Yergaliyev K, Bekishev B, Gaipov A. Analysis of chronic kidney disease epidemiology in Kazakhstan using nationwide data for 2014-2020 and forecasting future trends of prevalence and mortality for 2030. Ren Fail 2024; 46:2326312. [PMID: 38482586 PMCID: PMC10946271 DOI: 10.1080/0886022x.2024.2326312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/28/2024] [Indexed: 03/20/2024] Open
Abstract
According to the Global Burden of Disease (GBD) study, chronic kidney disease (CKD) was prevalent in 697.5 million individuals worldwide in 2017. By 2040, it is anticipated that CKD will rank as the fifth most common cause of death. This study aims to examine the epidemiology of CKD in Kazakhstan and to project future trends in CKD prevalence and mortality by 2030. The retrospective analysis was performed on a database acquired from the Unified National Electronic Health System for 703,122 patients with CKD between 2014 and 2020. During the observation period, 444,404 women and 258,718 men were registered with CKD, 459,900 (66%) were Kazakhs and 47% were older than 50. The incidence rate notably decreased: 6365 people per million population (PMP) in 2014 and 4040 people PMP in 2020. The prevalence changed from 10,346 to 38,287 people PMP, and the mortality rate increased dramatically from 279 PMP to 916 PMP. Kazakhstan's central regions, Turkestan and Kyzylorda were identified as the most burdensome ones. The ARIMA model projected 1,504,694 expected prevalent cases in 2030. The predicted mortality climbed from 17,068 cases in 2020 to 37,305 deaths in 2030. By 2030, the prevalence and mortality of CKD will significantly increase, according to the predicted model. A thorough action plan with effective risk factor management, enhanced screening among risk populations, and prompt treatment are required to lessen the burden of disease in Kazakhstan.
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Affiliation(s)
- Gulnur Zhakhina
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Kamilla Mussina
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Sauran Yerdessov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Arnur Gusmanov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Yesbolat Sakko
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Valdemir Kim
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Dmitriy Syssoyev
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Meruyert Madikenova
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Ainur Assan
- Department of Medicine, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
| | - Zhanat Kuanshaliyeva
- Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, Kazakhstan
| | - Duman Turebekov
- Department of Internal Medicine and Nephrology, Astana Medical University, Astana, Kazakhstan
| | - Kuanysh Yergaliyev
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
- Graduate School of Public Policy, Nazarbayev University, Astana, Kazakhstan
| | - Bolat Bekishev
- Department of Extracorporeal Hemocorrection, National Research Cardiac Surgery Center, Astana, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
- Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, Kazakhstan
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Mussina K, Kuanova B, Syssoyev D, Gaipov A, Poddighe D, Shaikhyzada K, Aimyshev T, Galiyeva D. Epidemiology of pediatric hematological malignancies in Kazakhstan: Data from Unified National Electronic Healthcare System 2014-2021. Eur J Pediatr 2024; 183:1683-1691. [PMID: 38214809 DOI: 10.1007/s00431-023-05412-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/20/2023] [Accepted: 12/23/2023] [Indexed: 01/13/2024]
Abstract
We aimed to describe incidence and all-cause mortality of hematological pediatric malignancies (leukemia and lymphomas) in Kazakhstan based on nationwide large-scale healthcare data from the Unified National Electronic Healthcare System (UNEHS) for the 2014-2021 year period. The cohort included data of patients less than 18 years old with the diagnosis of hematological malignancies registered in the UNEHS (inpatient and outpatient registries) for the year period 2014-2021. Descriptive statistics were conducted to indicate socio-demographic characteristics of the cohort. Incidence and all-cause mortality were calculated per 100,000 population. Cox proportional hazard regression analysis was performed to investigate the association between determinants with the all-cause mortality. The total cohort consisted of 3357 children with leukemia and 1474 children with lymphomas. The mean age at diagnosis of leukemia and lymphomas was 7.3 ± 4.7 and 9.9 ± 4.9 years, respectively. The incidence rate of hematological malignancies was 6.8 per 100,000 in 2021. Patients with ALL had a higher incidence rate than patients with AML (3.4 and 1.2 per 100,000 in 2021, respectively). The incidence rate of HL and NHL was relatively similar which varied from 0.6 to 2.6 per 100,000 in 2014-2021. All-cause mortality of pediatric hematological malignancies varied from 1.1 to 1.5 per 100,000 in 2014-2021, with the peak in 2016 (1.7 per 100,000). Younger age is significantly associated with increased risk of all-cause mortality in children with AML. CONCUSION Patients with ALL had a higher incidence rate than patients with AML. The incidence rate of HL and NHL was relatively similar. All-cause mortality rates for leukemia and lymphomas were quite stable during the study period. Younger age is significantly associated with increased all-cause mortality among AML patients. However, there is no significant association of age with all-cause mortality among ALL, HL and NHL. In order to obtain more reliable data and analysis on pediatric (hematological) malignancies, specific registries for childhood tumors (including detailed information on relapses, treatments, short and long-term side effects, and specific death causes) should be implemented. WHAT IS KNOWN • Leukemias and lymphomas together account for around 45% of all pediatric malignancies. • Lymphoma accounts for 12% of all childhood malignancies; non-Hodgkin's lymphomas (NHL) are more frequent than Hodgkin's lymphomas (HL). WHAT IS NEW • The incidence rate of ALL was higher than the incidence rate of AML throughout the whole study period, whereas all-cause mortality of ALL and AML was quite stable. • According to Cox PH analysis, younger age (0-5 years old) was associated with a higher risk of death among AML children compared to older children, and no significant association of age was observed with all-cause mortality among ALL and lymphomas.
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Affiliation(s)
- Kamilla Mussina
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan
| | - Bota Kuanova
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan
| | - Dmitriy Syssoyev
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan
- Clinical Academic Department of Internal Medicine, University Medical Center (UMC), Astana, Kazakhstan
| | - Dimitri Poddighe
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan
- Clinical Academic Department of Pediatrics, National Research Center for Maternal and Child Health, University Medical Center (UMC), Astana, Kazakhstan
| | - Kundyz Shaikhyzada
- Program of Pediatric Solid Oncology, Clinical Academic Department of Pediatrics, National Research Center for Maternal and Child Health, University Medical Center (UMC), Astana, Kazakhstan
| | - Temirgali Aimyshev
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan
| | - Dinara Galiyeva
- Department of Medicine, Nazarbayev University School of Medicine (NUSOM), Kerey and Zhanibek Khans Street 5/1, 010000, Astana, Kazakhstan.
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Sakko Y, Madikenova M, Kim A, Syssoyev D, Mussina K, Gusmanov A, Zhakhina G, Yerdessov S, Semenova Y, Crape BL, Sarria-Santamera A, Gaipov A. Epidemiology of tuberculosis in Kazakhstan: data from the Unified National Electronic Healthcare System 2014-2019. BMJ Open 2023; 13:e074208. [PMID: 37821138 PMCID: PMC10582847 DOI: 10.1136/bmjopen-2023-074208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/25/2023] [Indexed: 10/13/2023] Open
Abstract
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.
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Affiliation(s)
- Yesbolat Sakko
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | | | - Alexey Kim
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Dmitriy Syssoyev
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Kamilla Mussina
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Arnur Gusmanov
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Gulnur Zhakhina
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Sauran Yerdessov
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Yuliya Semenova
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
| | | | | | - Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University, Astana, Kazakhstan
- Clinical Academic Department of Internal Medicine, University Medical Center, Astana, Kazakhstan
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Mussina K, Kadyrov S, Kashkynbayev A, Yerdessov S, Zhakhina G, Sakko Y, Zollanvari A, Gaipov A. Prevalence of HIV in Kazakhstan 2010-2020 and Its Forecasting for the Next 10 Years. HIV AIDS (Auckl) 2023; 15:387-397. [PMID: 37426767 PMCID: PMC10329475 DOI: 10.2147/hiv.s413876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/09/2023] [Indexed: 07/11/2023] Open
Abstract
Background HIV is a growing public health burden that threatens thousands of people in Kazakhstan. Countries around the world, including Kazakhstan, are facing significant problems in predicting HIV infection prevalence. It is crucial to understand the epidemiological trends of infectious diseases and to monitor the prevalence of HIV in a long-term perspective. Thus, in this study, we aimed to forecast the prevalence of HIV in Kazakhstan for 10 years from 2020 to 2030 by using mathematical modeling and time series analysis. Methods We use statistical Autoregressive Integrated Moving Average (ARIMA) models and a nonlinear epidemic Susceptible-Infected (SI) model to forecast the HIV infection prevalence rate in Kazakhstan. We estimated the parameters of the models using open data on the prevalence of HIV infection among women and men (aged 15-49 years) in Kazakhstan provided by the Kazakhstan Bureau of National Statistics. We also predict the effect of pre-exposure prophylaxis (PrEP) control measures on the prevalence rate. Results The ARIMA (1,2,0) model suggests that the prevalence of HIV infection in Kazakhstan will increase from 0.29 in 2021 to 0.47 by 2030. On the other hand, the SI model suggests that this parameter will increase to 0.60 by 2030 based on the same data. Both models were statistically significant by Akaike Information Criterion corrected (AICc) score and by the goodness of fit. HIV prevention under the PrEP strategy on the SI model showed a significant effect on the reduction of the HIV prevalence rate. Conclusion This study revealed that ARIMA (1,2,0) predicts a linear increasing trend, while SI forecasts a nonlinear increase with a higher prevalence of HIV. Therefore, it is recommended for healthcare providers and policymakers use this model to calculate the cost required for the regional allocation of healthcare resources. Moreover, this model can be used for planning effective healthcare treatments.
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Affiliation(s)
- Kamilla Mussina
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Shirali Kadyrov
- Department of Mathematics and Natural Sciences, Suleyman Demirel University, Kaskelen, Kazakhstan
| | | | - Sauran Yerdessov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Gulnur Zhakhina
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Yesbolat Sakko
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Amin Zollanvari
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
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Mussina K, Abbay A, Sakko Y, Syssoyev D, Gusmanov A, Abdrakhmanova A, Ashimkhanova A, Gaipov A. Dynamics of hospital admissions and all-cause mortality of HIV infected patients in Kazakhstan: data from unified nationwide electronic healthcare system 2014-2019. Front Public Health 2023; 11:1138604. [PMID: 37408741 PMCID: PMC10319052 DOI: 10.3389/fpubh.2023.1138604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 06/05/2023] [Indexed: 07/07/2023] Open
Abstract
Background and objectives Although global HIV pandemic has stabilized, it continues to rise in Eastern Europe and Central Asia due to exponential growth of newly acquired cases. Based on UNAIDS, there are currently 35,000 people living with HIV (PLWH) in Kazakhstan. This alarming HIV epidemiologic situation mandates urgent investigation of causes, routes of transmission and other characteristics in order to halt the epidemic. We aimed to analyze the data of all hospitalized patients for the period of 2014-2019 who tested positive for HIV from the Unified National Electronic Health System (UNEHS) of Kazakhstan. Methods This cohort study extracted data for all HIV positive patients during 2014-2019 from UNEHS of Kazakhstan to apply descriptive, Kaplan-Meier estimation, and Cox proportional hazards regression model. Crosscheck of the target population data was conducted with tuberculosis, viral hepatitis, alcohol abuse and intravenous drug user (IDU) cohorts in order to create a comprehensive database. All survival functions and factors associated with mortality were tested for significance. Results The cohort population (n = 2,213) mean age was 33.3 ± 13.3 years with 1,375 males (62.1%) and 838 females (37.9%). Incidence rate decreased from 2.05 in 2014 to 1.88 in 2019, however, prevalence and mortality continues to escalate every year, the mortality raised significantly from 0.39 in 2014 to 0.97 in 2019. People aged >50 years, males, retired people, patients from tuberculosis hospital profile had much lower survival probabilities than the corresponding groups. Adjusted Cox regression model death hazard showed strong association of HIV patients with tuberculosis coinfection (HR 1.4, 95% CI 1.1; 1.7, p < 0.001). Conclusion The results of this study demonstrate high rates of HIV mortality, strong association of HIV with TB coinfection, regional, age specific, gender, hospital profile and social status differences that significantly affect HIV prevalence. Since the prevalence of HIV is continuing to increase, more information is necessary for evaluation and implementation of prevention procedures.
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Affiliation(s)
- Kamilla Mussina
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Anara Abbay
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Yesbolat Sakko
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Dmitriy Syssoyev
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Arnur Gusmanov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Ainur Abdrakhmanova
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Aiymkul Ashimkhanova
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
- Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, Kazakhstan
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ZHAKHINA G, Gaipov A, Mussina K, Yerdessov S, Gusmanov A, Sakko Y, Syssoyev D, Kim V, Kuanshgaliyeva Z, Turebekov D. WCN23-1016 CURRENT EPIDEMIOLOGY AND FORECASTING THE TREND OF CHRONIC KIDNEY DISEASE IN KAZAKHSTAN. Kidney Int Rep 2023. [DOI: 10.1016/j.ekir.2023.02.402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023] Open
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Gusmanov A, Zhakhina G, Yerdessov S, Sakko Y, Mussina K, Alimbayev A, Syssoyev D, Sarria-Santamera A, Gaipov A. 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. Int J Med Inform 2023; 170:104950. [PMID: 36508752 DOI: 10.1016/j.ijmedinf.2022.104950] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/28/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022]
Abstract
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.
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Affiliation(s)
- Arnur Gusmanov
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Gulnur Zhakhina
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Sauran Yerdessov
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Yesbolat Sakko
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Kamilla Mussina
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Aidar Alimbayev
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Dmitriy Syssoyev
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Antonio Sarria-Santamera
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University School of Medicine, Kerey and Zhanibek Khans Street 5/1, Astana, Kazakhstan.
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Yerdessov S, Zhunussova A, Imanova A, Gusmanov A, Sakko Y, Zhakhina G, Mussina K, Syssoyev D, Alimbayev A, Abbay A, Sarria-Santamera A, Gaipov A. Epidemiological characteristics and climatic variability of viral meningitis in Kazakhstan, 2014-2019. Front Public Health 2023; 10:1041135. [PMID: 36684964 PMCID: PMC9845948 DOI: 10.3389/fpubh.2022.1041135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 12/02/2022] [Indexed: 01/05/2023] Open
Abstract
Background The 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. Methods Nationwide 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. Results During 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. Conclusion This 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.
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Affiliation(s)
- Sauran Yerdessov
- Department of Science and Education, CF “University Medical Center”, Astana, Kazakhstan,Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Assel Zhunussova
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Aliya Imanova
- Stroke Center, City Multidisciplinary Hospital No. 2, Astana, Kazakhstan
| | - Arnur Gusmanov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Yesbolat Sakko
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Gulnur Zhakhina
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Kamilla Mussina
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Dmitriy Syssoyev
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Aidar Alimbayev
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Anara Abbay
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | | | - Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan,Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, Kazakhstan,*Correspondence: Abduzhappar Gaipov ✉
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Yerdessov S, Abbay A, Makhammajanov Z, Zhuzzhasarova A, Gusmanov A, Sakko Y, Zhakhina G, Mussina K, Syssoyev D, Alimbayev A, Gaipov A. Epidemiological characteristics and seasonal variation of measles, pertussis, and influenza in Kazakhstan between 2010-2020 years. ELECTRON J GEN MED 2023. [DOI: 10.29333/ejgm/12621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
<b>Background: </b>Vaccine-preventable diseases such as pertussis, measles, and influenza remain among the most significant medical and socioeconomic issues in Kazakhstan, despite significant vaccination achievements. Thus, here we aimed to analyze the long-term dynamics and provide information on the current epidemiology of pertussis, measles, and influenza in Kazakhstan.<br />
<b>Methods: </b>A retrospective analysis of the long-term dynamics of infectious diseases was carried out using the data from the statistical collections for 2010-2020 and the Unified Payment System from 2014 to 2020.<br />
<b>Results: </b>During the 2010-2020 years, the long-term dynamics show an unequal distribution of pertussis, measles, and influenza-related morbidity. In comparison with earlier years, registration of infectious disease was the highest in 2019 and 2020. The incidence cases among registered infectious diseases in 2019 were: pertussis-147, measles-13,326, and in 2020: influenza-2,678. High incidence rates have been documented in Pavlodar, North Kazakhstan, Mangystau regions, and the cities of Shymkent and Nur-Sultan. The incidence varies depending on the seasonality: pertussis (summer-autumn), measles (winter-spring), and influenza (mostly in winter).<br />
<b>Conclusion: </b>The findings highlight the importance of focusing more on the characteristics of the epidemic process of vaccine-preventable diseases in order to assess the effectiveness of implemented measures and verify new routes in strengthening the epidemiological surveillance system.
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Affiliation(s)
- Sauran Yerdessov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Anara Abbay
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | | | - Aygerim Zhuzzhasarova
- Department of Pediatric Infectious Diseases, Astana Medical University, Astana, KAZAKHSTAN
| | - Arnur Gusmanov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Yesbolat Sakko
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Gulnur Zhakhina
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Kamilla Mussina
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Dmitriy Syssoyev
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Aidar Alimbayev
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
| | - Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University School of Medicine, Astana, KAZAKHSTAN
- Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, KAZAKHSTAN
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10
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Midlenko A, Mussina K, Zhakhina G, Sakko Y, Rashidova G, Saktashev B, Adilbay D, Shatkovskaya O, Gaipov A. Prevalence, incidence, and mortality rates of breast cancer in Kazakhstan: data from the Unified National Electronic Health System, 2014-2019. Front Public Health 2023; 11:1132742. [PMID: 37143985 PMCID: PMC10153091 DOI: 10.3389/fpubh.2023.1132742] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/24/2023] [Indexed: 05/06/2023] Open
Abstract
Background Although there are numerous sources of epidemiologic information on breast cancer in Kazakhstan, none of them have specifically examined the burden of this disease. Therefore, this article aims to provide an overview of the breast cancer prevalence, incidence, mortality, and distribution and changes over time in Kazakhstan based on nationwide large-scale healthcare data from the National Registry in order to encourage more research on the impact of various diseases at the regional and national levels. Methods The study cohort included all adult women older than 25 years who were diagnosed with breast cancer in any clinical setting of the Republic of Kazakhstan during the period of 2014-2019. The data were extracted from the Unified Nationwide Electronic Health System (UNEHS) to get an overview of descriptive statistics, incidence, prevalence, and mortality rate calculations and the Cox proportional hazards regression model. All survival functions and factors associated with mortality were tested for significance. Results The cohort population (n = 55,465) comprised subjects with the age at the diagnosis of breast cancer from 25 to 97 years, with a mean of 55.7 ± 12.0 years. The majority of the study population belonged to the age group 45-59 years, which is 44.8% of the cohort. The all-cause mortality rate of the cohort is 16%. The prevalence rate increased from 30.4 per 10,000 population in 2014 to 50.6 in 2019. The incidence rate varied from 4.5 per 10,000 population in 2015 to 7.3 in 2016. Mortality rates were stable and high in the senile age patients (75-89 years old). Breast cancer mortality was positively associated with women who had been diagnosed with diabetes, HR 1.2 (95% CI, 1.1-2.3), whereas it was negatively associated with arterial hypertension, HR 0.4 (95% CI, 0.4-0.5). Conclusion Overall, Kazakhstan is experiencing an increase in the incidence of breast cancer cases, but the mortality rate has started to decline. The switch to population mammography screening could reduce the breast cancer mortality rate. These findings should be utilized to help Kazakhstan determine what cancer control priorities should be utilized, including the need to implement efficient and affordable screening and prevention programs.
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Affiliation(s)
- Anna Midlenko
- Department of Surgery, School of Medicine, Nazarbayev University, Astana, Kazakhstan
- Anna Midlenko
| | - Kamilla Mussina
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Gulnur Zhakhina
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Yesbolat Sakko
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Gyunel Rashidova
- School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan
| | - Bolat Saktashev
- Department of Mammology, Oncological Center of Tomotherapy “UMIT”, Astana, Kazakhstan
| | - Dauren Adilbay
- Department of Otolaryngology Head and Neck Surgery, Louisiana State University Health Sciences, Shreveport, LA, United States
| | - Oxana Shatkovskaya
- Department of Scientific and Strategic Activities, Kazakh Research Institute of Oncology and Radiology, Almaty, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan
- Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, Kazakhstan
- *Correspondence: Abduzhappar Gaipov
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11
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Gaipov A, Makhammajanov Z, Dauyey Z, Markhametova Z, Mussina K, Nogaibayeva A, Kozina L, Auganova D, Tarlykov P, Bukasov R, Utegulov Z, Turebekov D, Soler MJ, Ortiz A, Kanbay M. Urinary Protein Profiling for Potential Biomarkers of Chronic Kidney Disease: A Pilot Study. Diagnostics (Basel) 2022; 12:diagnostics12112583. [PMID: 36359427 PMCID: PMC9689510 DOI: 10.3390/diagnostics12112583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
Proteinuria is a risk factor for chronic kidney disease (CKD) progression and associated complications. However, there is insufficient information on individual protein components in urine and the severity of CKD. We aimed to investigate urinary proteomics and its association with proteinuria and kidney function in early-stage CKD and in healthy individuals. A 24 h urine sample of 42 individuals (21-CKD and 21-healthy individuals) was used for mass spectrometry-based proteomics analysis. An exponentially modified protein abundance index (emPAI) was calculated for each protein. Data were analyzed by Mascot software using the SwissProt database and bioinformatics tools. Overall, 298 unique proteins were identified in the cohort; of them, 250 proteins belong to the control group with median (IQR) emPAI 39.1 (19−53) and 142 proteins belong to the CKD group with median (IQR) emPAI 67.8 (49−117). The level of 24 h proteinuria positively correlated with emPAI (r = 0.390, p = 0.011). The emPAI of some urinary proteomics had close positive (ALBU, ZA2G, IGKC) and negative (OSTP, CD59, UROM, KNG1, RNAS1, CD44, AMBP) correlations (r < 0.419, p < 0.001) with 24 h proteinuria levels. Additionally, a few proteins (VTDB, AACT, A1AG2, VTNC, and CD44) significantly correlated with kidney function. In this proteomics study, several urinary proteins correlated with proteinuria and kidney function. Pathway analysis identified subpathways potentially related to early proteinuric CKD, allowing the design of prospective studies that explore their response to therapy and their relationship to long-term outcomes.
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Affiliation(s)
- Abduzhappar Gaipov
- Department of Medicine, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan
- Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana 010000, Kazakhstan
- Correspondence:
| | - Zhalaliddin Makhammajanov
- Department of Biomedical Sciences, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan
| | - Zhanna Dauyey
- Department of Medicine, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan
| | - Zhannur Markhametova
- Department of Medicine, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan
| | - Kamilla Mussina
- Department of Medicine, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan
| | | | - Larissa Kozina
- Department of Laboratory Diagnostics, National Scientific Medical Center, Astana 010000, Kazakhstan
| | - Dana Auganova
- Department of Proteomics and Mass Spectrometry, National Center for Biotechnology, Astana 010000, Kazakhstan
| | - Pavel Tarlykov
- Department of Proteomics and Mass Spectrometry, National Center for Biotechnology, Astana 010000, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, SSH, Nazarbayev University, Astana 010000, Kazakhstan
| | - Zhandos Utegulov
- Department of Physics, SSH, Nazarbayev University, Astana 010000, Kazakhstan
| | - Duman Turebekov
- Department of Internal Medicine, Astana Medical University, Astana 010000, Kazakhstan
| | - Maria Jose Soler
- Department of Nephrology, Vall d’Hebron University Hospital, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
- Nephrology and Kidney Transplant Research Group, Vall d’Hebron Research Institute (VHIR), 08035 Barcelona, Spain
| | - Alberto Ortiz
- Department of Medicine, Universidad Autonoma de Madrid and IIS-Fundacion Jimenez Diaz, 28040 Madrid, Spain
| | - Mehmet Kanbay
- Division of Nephrology, Department of Medicine, Koc University, 34450 Istanbul, Turkey
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12
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Pokorney S, Garonzik S, Chertow G, Washam J, Mussina K, Bansal N, Gadegbeku C, Garcia D, Lopes R, Mahaffey K, Middleton J, Thadhani R, Thomas K, Winkelmayer W, Granger C. Pharmacokinetics of apixaban in patients with end stage renal disease on hemodialysis and atrial fibrillation: results from the RENAL-AF trial. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background/Introduction
Apixaban use is increasing for stroke prevention in patients with atrial fibrillation (AF) and end stage renal disease (ESRD) on hemodialysis. There is uncertainty as to the optimal dose in this population in part related to the limited available pharmacokinetic (PK) data.
Purpose
We comprehensively evaluated the PK of apixaban collected over 1 month of apixaban dosing in 63 patients with AF and ESRD on hemodialysis.
Methods
Patients with AF and ESRD on hemodialysis were randomized to warfarin versus apixaban within the RENAL-AF trial with 5 mg BID dosing, except for 2.5 mg BID in those age ≥80 years or weight ≤60 kg. The 5 mg BID dose could be reduced to 2.5mg BID for minor bleeding. Day 1 PK data was collected on all patients pre- and post-hemodialysis. Day 3 and 1 month pre- and post-hemodialysis PK samples were collected in 49 patients. The timing of apixaban dosing and hemodialysis relative to PK samples was recorded. Dosing history, hemodialysis, and PK samples were chronologically integrated with patient specific data such as body size, age, race and gender. This dataset was combined with the ARISTOTLE dataset, and the published PK model from ARISTOTLE describing exposures in the AF population was updated to incorporate an additional clearance term for hemodialysis. The model estimated apixaban exposures (AUC) in RENAL-AF were compared to ARISTOLTE AUC values.
Results
There were 285 PK concentrations collected among 63 patients in the RENAL-AF trial. Patients had median age 69 years with 41% women (N=26) and a median weight of 84 kg (49, 157). The median AUCs for patients with ESRD on hemodialysis were 5,452 and 2,990 for patients treated with 5mg BID and 2.5mg BID doses, respectively. The median AUCs for patients treated with 5mg BID from ARISTOTLE increased from 2,802 for patients with class 1 CKD to 5,863 for class 4 CKD, while they increased from 2,392 for class 1 CKD to 2,881 for class 4 CKD in patients treated with 2.5mg BID. The median AUC for patients with ESRD on hemodialysis were within 50% of the exposure of patients from ARISTOTLE for all classes of CKD for the 2.5mg BID dose and for classes 2, 3A, 3B, and 4 CKD for the 5mg BID dose (Figure).
Conclusions
The steady state apixaban exposure data in patients with AF and ESRD on hemodialysis were modestly higher but consistent with the results of non-ESRD patients from ARISTOTLE, using 5 mg BID unless patients had age ≥80 years or weight ≤60 kg. Additional clinical outcomes data on the use of apixaban in patients with AF and ESRD on hemodialysis are needed.
Funding Acknowledgement
Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): Investigator sponsored grant from Bristol-Myers Squibb and Pfizer
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Affiliation(s)
- S Pokorney
- Duke University, Durham, United States of America
| | - S Garonzik
- Bristol Myers Squibb, Princeton, United States of America
| | - G.M Chertow
- Stanford University, Palo Alto, United States of America
| | - J.B Washam
- Duke University, Durham, United States of America
| | - K Mussina
- Frenova Renal Research, Waltham, United States of America
| | - N Bansal
- University of Washington, Seattle, United States of America
| | - C Gadegbeku
- Temple University School of Medicine, Philadelphia, United States of America
| | - D Garcia
- University of Washington, Seattle, United States of America
| | - R.D Lopes
- Duke University, Durham, United States of America
| | - K.W Mahaffey
- Stanford University, Palo Alto, United States of America
| | - J Middleton
- Duke University, Durham, United States of America
| | - R Thadhani
- Cedars-Sinai Medical Center, Los Angeles, United States of America
| | - K.L Thomas
- Duke University, Durham, United States of America
| | - W Winkelmayer
- Baylor College of Medicine, Houston, United States of America
| | - C.B Granger
- Duke University, Durham, United States of America
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13
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Abstract
Nicotinic acetylcholine receptors (nAChRs) have gained much attention in the scientific community since they play a significant role in multiple physiological and pathophysiological processes. Multiple approaches to study the receptors exist, with characterization of the receptors' functionality at a single cellular level using cell culturing being one of them. Derived from an adrenal medulla tumor, PC12 cells express nicotinic receptor subunits and form functional nicotinic receptors. Thus, the cells offer a convenient environment to address questions related to the functionality of the receptors. The review summarizes the findings on nicotinic receptors' expression and functions which were conducted using PC12 cells. Specific focus is given to α3-containing receptors as well as α7 receptor. Critical evaluation of findings is provided alongside insights into what can still be learned about nAChRs, using PC12 cells.
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Affiliation(s)
- Kamilla Mussina
- Biology Department, School of Sciences and Humanities, Nazarbayev University, NurSultan, Republic of Kazakhstan
| | - Dana Toktarkhanova
- Biology Department, School of Sciences and Humanities, Nazarbayev University, NurSultan, Republic of Kazakhstan
| | - Olena Filchakova
- Biology Department, School of Sciences and Humanities, Nazarbayev University, NurSultan, Republic of Kazakhstan.
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