Dataset Information

Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study.

ABSTRACT:

Background

There is concern that not all cases of chronic kidney disease (CKD) are known to general practitioners, leading to an underestimate of its true prevalence. We carried out this study to develop a model to predict the prevalence of CKD using a large English primary care dataset which includes previously undiagnosed cases of CKD.

Methods

Cross-sectional analysis of data from the Quality Improvement in CKD trial, a representative sample of 743 935 adults in England aged 18 and over. We created multivariable logistic regression models to identify important predictive factors.

Results

A prevalence of 6.76% was recorded in our sample, compared to a national prevalence of 4.3%. Increasing age, female gender and cardiovascular disease were associated with a significantly increased prevalence of CKD (p < 0.001 for all). Age had a complex association with CKD. Cardiovascular disease was a stronger predictive factor in younger than in older patients. For example, hypertension has an odds ratio of 2.02 amongst patients above average and an odds ratio of 3.91 amongst patients below average age.

Conclusion

In England many cases of CKD remain undiagnosed. It is possible to use the results of this study to identify areas with high levels of undiagnosed CKD and groups at particular risk of having CKD.

Trial registration

Current Controlled Trials ISRCTN: ISRCTN56023731. Note that this study reports the results of a cross-sectional analysis of data from this trial.

SUBMITTER: Kearns B

PROVIDER: S-EPMC3598334 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

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Publications

Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study.

Kearns Benjamin B Gallagher Hugh H de Lusignan Simon S

BMC nephrology 20130225

<h4>Background</h4>There is concern that not all cases of chronic kidney disease (CKD) are known to general practitioners, leading to an underestimate of its true prevalence. We carried out this study to develop a model to predict the prevalence of CKD using a large English primary care dataset which includes previously undiagnosed cases of CKD.<h4>Methods</h4>Cross-sectional analysis of data from the Quality Improvement in CKD trial, a representative sample of 743 935 adults in England aged 18 ...[more]

PMID: 23442335

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Project description:To date, there have been no large-scale national studies of the prevalence of chronic kidney disease in Kazakhstan. It includes the research based on the analysis of the estimated glomerular filtration rate (eGFR). The aim of this study was to investigate the population prevalence of CKD and associated risk factors in Kazakhstan. The cross-sectional study consisted of a nationally representative sample of n = 6 720 adults aged 18 to 69 from 14 regions and 3 major cities in Kazakhstan. The study covered the period from October 2021 to May 2022. The WHO STEPS questionnaire was used for the survey. For the diagnosis of CKD, creatinine levels in collected blood samples were measured to assess eGFR. Demographic characteristics were collected and studied. The total and adjusted prevalence of factors associated with the presence of CKD were calculated and analysed using logistic regression. 73.5% (n = 4940) of participants had normal eGFR, while 25.2% (n = 1695) had mild CKD (eGFR = 60-89 mL/min/1.7 m2). The overall prevalence of CKD with eGFR < 60 ml/min/1.7 m2 was 1.3% (n = 85), of which 0.2% (n = 15) had eGFR < 45 ml/min/1.7 m2. A mild degree of CKD was most often determined in residents of the East Kazakhstan region in 10.4%, and in 7.8-8.0% of cases. The majority of CKD patients was detected in the East Kazakhstan region and Almaty city, 15.3% and 10.6% of cases respectively. In mild and CKD with GFR < 60 ml/min/1.7 m2, the age of participants was 50-69 years in 61.5% and 78.8% of cases, respectively (p < 0.001). In addition to the association with the place of residence, a statistically significant relationship was found between the risk of developing CKD and underweight (OR 1.43, 95% CI (1.09-1.88), p < 0.001), as well as the presence of obesity (OR 1.24, 95% CI (0.99-1.53), p = 0.04). We observed the prevalence of CKD with eGFR < 60 ml/min/1.7 m2 at the level of 1.3%. However, a fairly large part of study participants had a mild CKD (25.2%). The results of this study can be used for the optimization of the doctors workload and the timely provision of care to patients with CKD.

Project description:IntroductionThe intricate relationship between obesity and chronic kidney disease (CKD) progression underscores a significant public health challenge. Obesity is strongly linked to the onset of several health conditions, including arterial hypertension (AHTN), metabolic syndrome, diabetes, dyslipidemia, and hyperuricemia. Understanding the connection between CKD and obesity is crucial for addressing their complex interplay in public health strategies.ObjectiveThis research aimed to determine the prevalence of CKD in a population with high obesity rates and evaluate the associated metabolic risk factors.Material and methodsIn this cross-sectional study conducted from January 2017 to December 2019 we included 3,901 participants of both sexes aged ≥20 years who were selected from primary healthcare medical units of the Mexican Social Security Institute (IMSS) in Michoacan, Mexico. We measured the participants' weight, height, systolic and diastolic blood pressure, glucose, creatinine, total cholesterol, triglycerides, HDL-c, LDL-c, and uric acid. We estimated the glomerular filtration rate using the Collaborative Chronic Kidney Disease Epidemiology (CKD-EPI) equation.ResultsAmong the population studied, 50.6% were women and 49.4% were men, with a mean age of 49 years (range: 23-90). The prevalence of CKD was 21.9%. Factors significantly associated with an increased risk of CKD included age ≥60 years (OR = 11.70, 95% CI [9.83-15.93]), overweight (OR = 4.19, 95% CI [2.88-6.11]), obesity (OR = 13.31, 95% CI [11.12-15.93]), abdominal obesity (OR = 9.25, 95% CI [7.13-11.99]), AHTN (OR = 20.63, 95% CI [17.02-25.02]), impaired fasting glucose (IFG) (OR = 2.73, 95% CI [2.31-3.23]), type 2 diabetes (T2D) (OR = 14.30, 95% CI [11.14-18.37]), total cholesterol (TC) ≥200 mg/dL (OR = 6.04, 95% CI [5.11-7.14]), triglycerides (TG) ≥150 mg/dL (OR = 5.63, 95% CI 4.76-6.66), HDL-c <40 mg/dL (OR = 4.458, 95% CI [3.74-5.31]), LDL-c ≥130 mg/dL (OR = 6.06, 95% CI [5.12-7.18]), and serum uric acid levels ≥6 mg/dL in women and ≥7 mg/dL in men (OR = 8.18, 95% CI [6.92-9.68]), (p < 0.0001). These factors independently contribute to the development of CKD.ConclusionsThis study underscores the intricate relationship between obesity and CKD, revealing a high prevalence of CKD. Obesity, including overweight, abdominal obesity, AHTN, IFG, T2D, dyslipidemia, and hyperuricemia emerged as significant metabolic risk factors for CKD. Early identification of these risk factors is crucial for effective intervention strategies. Public health policies should integrate both pharmacological and non-pharmacological approaches to address obesity-related conditions and prevent kidney damage directly.

Dataset Information

Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study.

Background

Methods

Results

Conclusion

Trial registration

Publications

Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study.

Similar Datasets

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