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Chronic Kidney Disease and Progression

Analysis of chronic kidney disease epidemiology in Kazakhstan using nationwide data for 2014–2020 and forecasting future trends of prevalence and mortality for 2030

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Article: 2326312 | Received 14 Dec 2023, Accepted 28 Feb 2024, Published online: 14 Mar 2024

Figures & data

Table 1. Socio-demographic and medical characteristics of CKD patients between 2014 and 2020.

Figure 1. Prevalence, incidence, and all-cause mortality of CKD patients in Kazakhstan in 2014–2020 by years: (a) absolute numbers; (b) rates per million population.

Figure 1. Prevalence, incidence, and all-cause mortality of CKD patients in Kazakhstan in 2014–2020 by years: (a) absolute numbers; (b) rates per million population.

Figure 2. Age- and sex-specific incidence rate of CKD: (a) per 1,000,000 population for the years 2014–2020; (b) age pyramid.

Figure 2. Age- and sex-specific incidence rate of CKD: (a) per 1,000,000 population for the years 2014–2020; (b) age pyramid.

Figure 3. Crude mortality rate among CKD patients in Kazakhstan per 1000 patient-years in 2014–2020.

Figure 3. Crude mortality rate among CKD patients in Kazakhstan per 1000 patient-years in 2014–2020.

Figure 4. Prevalence (a) and mortality (b) of CKD patients in Kazakhstan by administrative units in 2020.

Figure 4. Prevalence (a) and mortality (b) of CKD patients in Kazakhstan by administrative units in 2020.

Figure 5. Kaplan–Meier’s survival curves of CKD patients due to all-cause mortality by gender.

Figure 5. Kaplan–Meier’s survival curves of CKD patients due to all-cause mortality by gender.

Table 2. Association between socio-demographic and medical parameters and all-cause mortality rates of patients with CKD in 2014–2020.

Figure 6. ARIMA models for forecasting the prevalence (a) and mortality (b) of patients with CKD in Kazakhstan from 2014–2020 to 2030 years.

Figure 6. ARIMA models for forecasting the prevalence (a) and mortality (b) of patients with CKD in Kazakhstan from 2014–2020 to 2030 years.
Supplemental material

Supplemental Material

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Data availability statement

The data that support the findings of this study are available from the Republican Center for Electronic Health of the Ministry of Health of the Republic of Kazakhstan but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the corresponding author, Gaipov A., upon reasonable request and with permission of the Ministry of Health of the Republic of Kazakhstan.