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ACEi/ARB Use in CKD Stages 3–5 in the Military Health System

ACEi/ARB Use in CKD Stages 3–5 in the Military Health System

Angiotensin-converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) use among Military Health System (MHS) beneficiaries with chronic kidney disease (CKD) stages 3–5 has decreased slightly from 47.3% to 44.1% (age-standardized) between 2016 and 2023. ACEi and ARB use was higher among adults aged 60 years and older (crude); Asian American or Pacific Islander beneficiaries (age-standardized); and beneficiaries with CKD stage 4, hypertension, or diabetes (all age-standardized).

Data Source: MHS

To view ACEi/ARB use in CKD stages 3–5 in the MHS by risk categories, select from the drop-down menu below. Risk categories include Overall, Age Category, Sex, Race/Ethnicity, CKD Stage, Diabetes, and Hypertension.


ACEi/ARB Use in CKD G3-5, Overall

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Data include CKD stages 3–5. Estimates were standardized to the 2010 U.S. Census population for adults.

The Military Health System (MHS) provides comprehensive primary and specialty care for more than 9.6 million active-duty personnel and military retirees and their families worldwide. The MHS Data Repository (MDR) is the administrative claims database for all care received through MHS, including direct care received in military treatment facilities and purchased care received in civilian treatment facilities. The MDR does not capture health care delivery in combat zones or care received in the VHA system. All patients were in the TRICARE Prime managed care option. Data are from both the direct care (military facilities) and private care (private facilities through TRICARE coverage) systems.

De-identified patient data were obtained from the MHS data repository. Data contain both the estimated glomerular filtration rate (eGFR) definition of chronic kidney disease (CKD) and claims-based CKD defined by using ICD-9-CM and ICD-10-CM codes diagnosis codes with at least one inpatient or two outpatient CKD diagnoses. To be included in analyses, service members and their dependents had to have at least one inpatient or outpatient record during the fiscal year (October 1 to September 30). Data cells with 10 or fewer patients were suppressed.

Disclaimer: The views expressed are those of the authors and do not reflect the official policy of the Uniformed Services University, Departments of Army/Navy/Air Force, Department of War, Centers for Disease Control and Prevention, Department of Health and Human Services, or US government.

FieldData
Description of Measure

Trends in use of angiotensin-converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) among MHS beneficiaries with chronic kidney disease (CKD) stages 3-5 in the Military Health System (MHS).

Data Set

Source files from the MHS Data Repository (MDR).

ICD Coding: GENESIS Encounter (BDE 3.0, direct care), GENESIS Admission Table (BDE 3.0, direct care), CAPER (direct care outpatient claims), SIDR (direct care inpatient claims), TED-NI (private care outpatient claims), TED-I Header (private care inpatient claims).

Laboratories: CDR Chemistry, SIDR, CADRE Laboratory Enhanced, GENESIS Laboratory Results (BDE 3.0), TED-NI (private sector laboratory claims).

Demographics: VM6BEN (demographic information from the Defense Enrollment Eligibility Reporting System), GENESIS Person (BDE 3.0).

Medications: PDTS (Pharmacy Data Transaction Service).

BDE: Bulk Data extract, CADRE: Comprehensive Ancillary Data Record Extract, CAPER: Comprehensive
Ambulatory/Professional Encounter Record, CDR: Clinical Data Repository, GENESIS:  name of the MHS EHR, SIDR: Standard Inpatient Data Record, TED-I: TRICARE Encounter Data – Institutional, TED-NI: TRICARE Encounter Data – Non-Institutional.

Population

Beneficiaries aged ≥ 18 years enrolled in the TRICARE Prime or Plus managed care options.

Years Included

Fiscal years 2016–2023 (October 1, 2015–September 30, 2023).

Numerator

MHS beneficiaries in the denominator with filled ACEi or ARB prescription during each year.

Denominator

MHS beneficiaries aged ≥ 18 years with CKD stages 3–5 during the year.

Exclusions

Adults with a diagnosis of dialysis or transplant and females with an ICD-10 code for pregnancy during the year were excluded from the denominator.

Definition of CKD Stages 3–5

CKD stage 3 is an average eGFR = 30-59 ml/min/1.73 m².

CKD stage 4 is an average eGFR = 15-29 ml/min/1.73 m².

CKD stage 5 is an average eGFR < 15 ml/min/1.73 m².

Dialysis and Transplant

Beneficiaries with ≥1 inpatient or ≥2 outpatient encounters with ICD-10 codes for dialysis or transplant were excluded.

Definition of Hypertension

Hypertension was defined as the presence of ≥1 inpatient or ≥2 outpatient encounters with ICD-10 codes for hypertension.

Definition of Diabetes

Type 1 and type 2 diabetes are determined using the Stanford algorithm (https://phekb.org/phenotype/1506), which uses one encounter with an ICD code for diabetes plus either the presence of prescribed hypoglycemic medications or the presence of abnormal chemistries (random outpatient glucose > 200 mg/dL or hemoglobin A1C ≥ 6.5%).

ICD-10 Codes for Dialysis and Transplant

Dialysis: I95.3, R88.0, T81.502A, T81.502D, T81.502S, T81.512A, T81.512D, T81.512S, T81.522A, T81.522D, T81.522S, T81.532A, T81.532D, T81.532S, T81.592A, T81.592D, T81.592S, T82.41XA, T82.41XD, T82.41XS, T82.42XA, T82.42XD, T82.42XS, T82.43XA, T82.43XD, T82.43XS, T82.49XA, T82.49XD, T82.49XS, T85.611A, T85.611D, T85.611S, T85.621A, T85.621D, T85.621S, T85.631A, T85.631D, T85.631S, T85.691A, T85.691D, T85.691S, T85.71XA, T85.71XD, T85.71XS, Y62.2, Y84.1, Z49.01, Z49.02, Z49.31, Z49.32, Z91.151, Z91.158, Z91.A5, Z99.2.

Transplant: T86.10, T86.11, T86.12, T86.13, Z48.22, Z94.0.

X stands for all codes within the main diagnosis.

ICD-10 Codes for Diabetes

E08.X, E09.X, E10.X, E11.X, E13.X, O24.X, P70.2, Z79.85, Z86.31.

X stands for all the codes within the main diagnosis.

ICD-10 Codes for Hypertension

E26.0X, E26.1, E26.89, E26.9, H35.031, H35.032, H35.033, H35.039, I10., I11.X, I12.X, I13.X, I15.X, I16.X, I67.4, I67.83, O10.X, O13.X, O16.X.

(X stands for all codes within the main diagnosis.

Estimated Glomerular Filtration Rate (eGFR)

Based on the CKD-EPI (2021) equation for calibrated creatinine: eGFR=142 x [min (serum creatinine in mg/dL) /κ, 1)] **α x [max (serum creatinine/κ, 1)] **-1.20 x 0.9938**age x (1.012 if female).
κ = 0.7 if female and 0.9 if male
α = -0.241 if female and -0.302 if male
** = raise to the power

Serum Creatinine

Laboratory measurements taken during outpatient encounters.

Serum Glucose

Laboratory measurements taken during outpatient encounters.

Hemoglobin A1C

Laboratory measurements taken during inpatient or outpatient encounters.

SGLT2i

Bexagliflozin, canagliflozin, dapagliflozin, empagliflozin.

GLP-1 RA

Dulaglutide, exenatide, liraglutide, lixisenatide, semaglutide, tirzepatide.

ACEi/ARB

ACEi: benazepril, captopril, enalapril, fosinopril, lisinopril, moexipril, perindopril, quinapril, ramipril, trandolapril.

ARB: azilsartan, candesartan, irbesartan, losartan, olmesartan, telmisartan, valsartan.

Hypoglycemic Medications

Insulin

Glucagon

GLP-1 RA (see above list)

Biguanides: metformin

Sulfonylureas: glimepiride, glipizide, glyburide

Thiazolidinediones: pioglitazone

Meglitinides: nateglinide, repaglinide

α-glucosidase inhibitor: acarbose, miglitol

DPP-4 inhibitors: alogliptin, linagliptin, saxagliptin, sitagliptin, steglujan, tradjenta

SGLT2i (see above list)

Age Standardization

Estimates were standardized to the 2010 U.S. Census population for adults: 18–39 years: 37.1%, 40–59 years: 38.1%, 60–69 years: 12.8%, and 70+ years: 12.0%.

Limitations of Indicator

The percentage of adults in the denominator with missing race declined from 18.4% to 6.2% from 2016 to 2023, while the percentage with unknown race declined from 15.0% to 4.2%.

Analytical Considerations

Published studies define CKD using different serum creatinine criteria, such as single measurements, averages, or persistence over 90 days; comparisons must be made cautiously.

Disclaimer

The contents of this publication are the sole responsibility of the authors and do not necessarily reflect the views, assertions, opinions, or policies of the Uniformed Services University of the Health Sciences, the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., the Departments of the Army, Navy, or Air Force, or the Department of Health and Human Services.


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