CDC Surveillance System: Percentage of Patients by Race/Ethnicity

Prevalence and Incidence

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Prevalence of CKD in the General Population

Prevalence of CKD in the Health Care System Population

Incidence of CKD in the Health Care System Population

Prevalence of CKD Towards Tracking Healthy People 2030 Goals

Awareness

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Person Awareness of CKD

Provider Awareness of CKD

CKD with ICD-9-CM Codes Among U.S. Veterans with CKD Stages 3-5

CKD Awareness Towards Tracking HP2020 Goals

Increase the Proportion of Adults with Chronic Kidney Disease Who Know They Have It

Burden of Risk Factors

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Diabetes in the General Population

Diabetes in the Health Care System Population

U.S. Adults with a Diagnosis of Diabetes

Hypertension in the General Population

Hypertension in the Health Care System Population

U.S. Adults with a Diagnosis of Hypertension

Obesity in the General Population

CVD in the General Population

Smoking in the General Population

Age in the Health Care System Population

Age of U.S. Adults

Race/Ethnicity in the Health Care System Population

U.S. Adults by Race/Ethnicity

Food Insecurity in CKD

Health Consequences

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Mortality in CKD in the Health Care System Population

Mortality Rates by eGFR Category/stage

Physical and Mental Functioning in CKD

Risk Factors for Progression of CKD

Progression

One-year Progression of CKD in U.S. Veterans

Risk Factors for CKD Complications Towards Tracking HP2020 Goals

Quality of Care

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Laboratory Testing for CKD in the Health Care System

Nephrology Care Prior to ESRD

Use of Medications in CKD

Blood Pressure Treatment and Control in CKD

Trends in Hypertension Diagnosis, Treatment, and Control Among Us Veterans

Health Care System Capacity

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Indicator Details: Percentage of Patients by Race/Ethnicity

Data Sources

Stratification and Year Choices:

Source

CMS-Medicare
NATIONAL VA
Clinformatics Commercial
Clinformatics Medicare Advantage
CMS-Medicaid

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Percentage of Patients by Year and Race/Ethnicity Clinformatics Medicare Advantage
Race/Ethnicity	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
White	66.1% (CI 65.9-66.2)	65.9% (CI 65.8-66.1)	65.4% (CI 65.3-65.5)	68.0% (CI 67.9-68.1)	68.2% (CI 68.2-68.3)	67.6% (CI 67.6-67.7)	66.4% (CI 66.4-66.5)	65.8% (CI 65.7-65.9)	64.5% (CI 64.5-64.6)	63.9% (CI 63.8-63.9)	62.5% (CI 62.5-62.6)	60.3% (CI 60.2-60.3)	56.4% (CI 56.4-56.4)	53.2% (CI 53.1-53.2)	49.6% (CI 49.5-49.6)
Black	7.7% (CI 7.6-7.8)	9.2% (CI 9.1-9.3)	9.9% (CI 9.8-9.9)	9.2% (CI 9.1-9.2)	8.7% (CI 8.6-8.7)	8.6% (CI 8.6-8.7)	8.9% (CI 8.9-9.0)	9.0% (CI 8.9-9.0)	8.2% (CI 8.1-8.2)	8.5% (CI 8.5-8.6)	10.0% (CI 9.9-10.0)	9.8% (CI 9.7-9.8)	8.8% (CI 8.8-8.9)	8.2% (CI 8.1-8.2)	7.6% (CI 7.5-7.6)
Hispanic	14.8% (CI 14.7-14.9)	13.3% (CI 13.2-13.4)	13.1% (CI 13.1-13.2)	11.2% (CI 11.1-11.2)	9.9% (CI 9.9-10.0)	9.7% (CI 9.7-9.8)	10.1% (CI 10.1-10.2)	10.2% (CI 10.2-10.3)	11.4% (CI 11.4-11.5)	11.1% (CI 11.1-11.2)	11.2% (CI 11.1-11.2)	11.3% (CI 11.3-11.3)	9.9% (CI 9.8-9.9)	9.1% (CI 9.0-9.1)	8.3% (CI 8.3-8.3)
Asian	4.0% (CI 3.9-4.1)	3.7% (CI 3.6-3.7)	3.7% (CI 3.6-3.7)	3.4% (CI 3.4-3.4)	3.1% (CI 3.1-3.2)	3.1% (CI 3.1-3.2)	4.2% (CI 4.2-4.3)	4.3% (CI 4.2-4.3)	4.3% (CI 4.3-4.4)	4.4% (CI 4.3-4.4)	4.1% (CI 4.1-4.1)	3.9% (CI 3.9-3.9)	3.4% (CI 3.4-3.4)	3.1% (CI 3.1-3.1)	2.9% (CI 2.9-2.9)
Unknown	7.4% (CI 7.3-7.5)	7.9% (CI 7.8-7.9)	7.9% (CI 7.8-8.0)	8.2% (CI 8.2-8.3)	10.0% (CI 10.0-10.1)	10.8% (CI 10.8-10.9)	10.3% (CI 10.2-10.3)	10.7% (CI 10.7-10.8)	11.5% (CI 11.5-11.6)	12.1% (CI 12.1-12.1)	12.2% (CI 12.2-12.3)	14.8% (CI 14.8-14.9)	21.5% (CI 21.5-21.5)	26.5% (CI 26.4-26.5)	31.7% (CI 31.6-31.7)

Notes:

* Indicates that the result for this cell was suppressed because of imprecision due to a sample size that was too small or the standard error of the result being too large (>30% of the estimate).
95% confidence intervals, when available, are shown in parentheses.

Patients aged 65 years or older enrolled in Clinformatics Medicare Advantage are primarily white, about a third of patients are of any other race/ethnicity.

Chart Explanation: The chart shows the distribution of race/ethnicity by year, by age, and by year and gender. The y-axis (vertical line) shows the percentage of patients. The x-axis (horizontal line) shows the race/ethnicity groups by either year, age groups, or year and gender.

The Clinformatics Medicare Advantage dataset provides paid medical and prescription claims and enrollment information for participants in Medicare Advantage plans of a large U.S. managed care health insurance company.

CKD is defined using ICD-9-CM or ICD-10-CM diagnosis codes, and ESRD is based on International Classification of Diseases (ICD) diagnosis, Current Procedural Terminology (CPT) procedure, and Diagnosis Related Group (DRG) codes in Clinformatics Medicare Advantage.

Field	Data
Description of Measure	Percentage of Clinformatics Medicare Advantage by mutually exclusive race/ethnicity categories.
Data Source	Clinformatics Medicare Advantage from the Clinformatics Commercial™ data mart database (OptumInsight, Eden Prairie, MN)
Type of Data Source	Administrative
Data Set	Medicare Advantage Clinformatics enrollees aged 65 or older
Health Care System Data	Yes
Regional or National	Regional
Demographic Group	Patients aged 65 years or older enrolled in Clinformatics Medicare Advantage nsurance
Numerator	Patients in denominator by race/ethnicity
Denominator	Patients aged 65 years or older with a full year of enrollment in a given calendar year
Primary Data Source Indicator	Race/ethnicity categories provided in Clinformatics Medicare Advantage
Primary Indicator Method of Measurement	Enrollment file
Secondary (1) Variable	Age in years at the end of the current calendar year
Period Currently Available	2016
Limitations of Indicator	The use of an ICD-9-CM or ICD-10-CM diagnosis code as a measure of prevalence, will underestimate the level of chronic kidney disease in the general population.
Analytical Considerations	In published literature, CKD is diagnosed by ICD-9-CM or ICD-10-CM codes in alternate ways (one outpatient, two or more outpatients or one inpatient claim). Care must be taken in comparisons.
ICD-9-CM Codes for CKD	016.0, 095.4, 189.0,189.9, 223.0, 236.91, 250.4, 271.4, 274.1, 283.11, 403, 404, 440.1, 442.1, 477.3, 572.4, 581-588, 591, 642.1, 646.2, 753.12-753.19, 753.2, 794.4
ICD-10-CM Codes for CKD	A18.11, A52.75, B52.0, C64.x, C68.9, D30.0x, D41.0x-D41.2x, D59.3, E08.2x, E09.2x, E10.2x, E10.65, E11.2x, E11.65, E13.2x, E74.8, I12.xx, I13.0, I13.1x, I13.2, K76.7, M10.3x, M32.14, M32.15, N01.x-N08.x, N13.1, N13.1x-N13.39, N14.x,N15.0, N15.8, N15.9, N16, N17.x, N18.1-N18.5, N18.8, N18.9, N19, N25.xx, N26.1, N26.9, O10.4xx, O12.xx, O26.83x, O90.89, Q61.02, Q61.1x-Q61.8, Q26.0-Q26.39, R94.4

Suggested Citation:

Centers for Disease Control and Prevention. Chronic Kidney Disease Surveillance System—United States.
website. http://www.cdc.gov/ckd