2014
DOI: 10.21608/eajbsc.2014.16028
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Distribution of CKD and Hypertension in 13 Towns in Hail Region, KSA

Abstract: Article HistoryBackground: Identification of individuals with early chronic kidney disease (CKD) and impaired blood pressure at community base provides opportunities for successful interventions that decrease burden renal failure and hypertension. Therefore, the aim of present study was to screen for CKD and hypertension in 13 towns around Hail city. Methodology: Screening for CKD is performed involving 2800 Saudi volunteers with age ranges from 14 to 100 years. Participants fulfilled a questionnaire, underwen… Show more

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Cited by 5 publications
(4 citation statements)
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“… 17 in the Hail region among 2946 participants depicted a CKD prevalence rate of 9.4%. Another cross-sectional study in the Hail region (2012) reported a 7.8% CKD prevalence among 2800 participants, with a female population distribution of 56.2% 18 . Mousa and colleagues highlighted that over 20 000 people in Saudi Arabia are currently receiving dialysis, and 9810 kidney transplant recipients are under follow-up care.…”
Section: Discussionmentioning
confidence: 99%
“… 17 in the Hail region among 2946 participants depicted a CKD prevalence rate of 9.4%. Another cross-sectional study in the Hail region (2012) reported a 7.8% CKD prevalence among 2800 participants, with a female population distribution of 56.2% 18 . Mousa and colleagues highlighted that over 20 000 people in Saudi Arabia are currently receiving dialysis, and 9810 kidney transplant recipients are under follow-up care.…”
Section: Discussionmentioning
confidence: 99%
“…Most CHD patients were rural inhabitants. Studies from the area have shown that CKD and CHD risk factors such as hypertension, diabetes, and hypercholesterolemia are more frequent in Saudi rural areas than in urban [20][21][22].…”
Section: Discussionmentioning
confidence: 99%
“…However, there are no nationwide population-based registries that reflect the true burden of CKD and ESKD, and it is possible that true estimates exceed what is reflected in this current guideline. As a result, current estimates are primarily based on single-center observational studies or studies conducted almost or more than a decade ago [15][16][17][18].…”
Section: Epidemiologymentioning
confidence: 99%