NHANES Chronic Kidney Disease Patient Demographics And Comorbidities

Patient-level data from 51,743 participants in the CDC NHANES database from 2001 to 2020, focusing on chronic kidney disease and dialysis. The dataset includes 1,509 CKD patients, with 173 having received dialysis, and a control group of 50,234 non-CKD patients. It was compiled and analyzed by figshare admin karger for a 2026 publication.

Use Cases

• Predict CKD status using demographic features like age, gender, race, and BMI.
• Analyze associations between comorbidities like congestive heart failure, diabetes, and hypertension with CKD using reported odds ratios.
• Evaluate the diagnostic accuracy of urinary albumin-to-creatinine ratio (UACR) cut-offs for CKD categorization.
• Compare clinical profiles, such as history of kidney stones and BMI, between CKD and non-CKD groups.
• Investigate racial and gender disparities in dialysis treatment rates within the CKD population.

Strengths

• 51,743 total patient records from a nationally representative survey.
• Reports specific odds ratios for key comorbidities like congestive heart failure (OR: 9.8) and diabetes (OR: 5.4).
• Covers a 20-year time span from 2001 to 2020.

Limitations

• The CKD patient group is relatively small (1,509) compared to the control group, which may limit statistical power for some subgroup analyses.
• Exclusion criteria removed participants over 85 years old, pregnant individuals, and those with a history of malignancy, limiting generalizability to these groups.
• Dataset scale is noted as 1.4 MB, suggesting aggregated summary data rather than raw individual-level records.

Provenance

Source

Centers for Disease Control and Prevention (CDC) National Health and Nutrition Examination Survey (NHANES).

Collection Method

Cross-sectional analysis of NHANES database participants, with exclusions applied and logistic regression performed.

Time Range

2001 to 2020

Freshness

Data covers up to 2020, with the analysis published in 2026.

Geography

United States