Failure of ICD-9-CM codes to identify patients with comorbid chronic kidney disease in diabetes

被引:137
作者
Kern, EFO
Maney, M
Miller, DR
Tseng, CL
Tiwari, A
Rajan, M
Aron, D
Pogach, L
机构
[1] Case Western Reserve Univ, Louis Stokes Cleveland Dept Vet Affairs Med Ctr, Dept Med, Div Endocrinol, Cleveland, OH 44106 USA
[2] Dept Vet Affairs New Jersey Healthcare Syst REAP, Ctr Healthcare Knowledge Management, Newark, NJ USA
[3] Boston Univ, Sch Publ Hlth, Bedford VA Med Ctr Hlth Qual Outcomes & Econ Res, Boston, MA 02215 USA
[4] Univ Med & Dent New Jersey, Dept Prevent Med, New Jersey Med Sch, Newark, NJ 07103 USA
[5] Univ Med & Dent New Jersey, Dept Neurosci, New Jersey Med Sch, Newark, NJ 07103 USA
[6] Univ Med & Dent New Jersey, Dept Med, New Jersey Med Sch, Newark, NJ 07103 USA
[7] Case Western Reserve Univ, VA HSR&D Ctr Qual Improvement Res, Sch Med, Cleveland, OH USA
关键词
diabetes; chronic kidney disease; diabetic nephropathy; administrative records; ICD-9-CM codes;
D O I
10.1111/j.1475-6773.2005.00482.x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective. To determine prevalence of chronic kidney disease (CKD) in patients with diabetes, and accuracy of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to identify such patients. Data Sources/Study Setting. Secondary data from 1999 to 2000. We linked all inpatient and outpatient administrative and clinical records of U.S. veterans with diabetes dually enrolled in Medicare and the Veterans Administration (VA) health care systems. Study Design. We used a cross-sectional, observational design to determine the sensitivity and specificity of renal-related ICD-9-CM diagnosis codes in identifying individuals with chronic kidney disease. Data Collection/Extraction Methods. We estimated glomerular filtration rate (eGFR) from serum creatinine and defined CKD as Stage 3, 4, or 5 CKD by eGFR criterion according to the Kidney Disease Outcomes Quality Initiative guidelines. Renal-related ICD-9-CM codes were grouped by algorithm. Principal Findings. Prevalence of CKD was 31.6 percent in the veteran sample with diabetes. Depending on the detail of the algorithm, only 20.2 to 42.4 percent of individuals with CKD received a renal-related diagnosis code in either VA or Medicare records over 1 year. Specificity of renal codes for CKD ranged from 93.2 to 99.4 percent. Patients hospitalized in VA facilities were slightly more likely to be correctly coded for CKD than patients hospitalized in facilities reimbursed by Medicare (OR 5.4 versus 4.1, p=.0330) Conclusions. CKD is a common comorbidity for patients with diabetes in the VA system. Diagnosis codes in administrative records from Medicare and VA systems are insensitive, but specific markers for patients with CKD.
引用
收藏
页码:564 / 580
页数:17
相关论文
共 45 条
[1]  
*AHA, 2002, COD CLIN ICD 9 CM OF
[2]   Renal failure predisposes patients to adverse outcome after coronary artery bypass surgery [J].
Anderson, RJ ;
O'Brien, M ;
MaWhinney, S ;
VillaNueva, CB ;
Moritz, TE ;
Sethi, GK ;
Henderson, WG ;
Hammermeister, KE ;
Grover, FL ;
Shroyer, AL .
KIDNEY INTERNATIONAL, 1999, 55 (03) :1057-1062
[3]   Risk of end-stage renal disease in diabetes mellitus - A prospective cohort study of men screened for MRFIT [J].
Brancati, FL ;
Whelton, PK ;
Randall, BL ;
Neaton, JD ;
Stamler, J ;
Klag, MJ .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1997, 278 (23) :2069-2074
[4]   Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy [J].
Brenner, BM ;
Cooper, ME ;
de Zeeuw, D ;
Keane, WF ;
Mitch, WE ;
Parving, HH ;
Remuzzi, G ;
Snapinn, SM ;
Zhang, ZX ;
Shahinfar, S .
NEW ENGLAND JOURNAL OF MEDICINE, 2001, 345 (12) :861-869
[5]   Economic consequences of renal dysfunction among cardiopulmonary bypass surgery patients: A hospital-based perspective [J].
Callahan, M ;
Battleman, DS ;
Christos, P ;
Efimba, M ;
Whitelaw, G .
VALUE IN HEALTH, 2003, 6 (02) :137-143
[6]   Acute renal failure following cardiac surgery [J].
Conlon, PJ ;
Stafford-Smith, M ;
White, WD ;
Newman, MF ;
King, S ;
Winn, MP ;
Landolfo, K .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 1999, 14 (05) :1158-1162
[7]  
DALEY J, 1997, RISK ADJUSTMENT MEAS
[8]   K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification - Foreword [J].
Eknoyan, G ;
Levin, NW .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2002, 39 (02) :S14-S266
[9]   OVERCOMING POTENTIAL PITFALLS IN THE USE OF MEDICARE DATA FOR EPIDEMIOLOGIC RESEARCH [J].
FISHER, ES ;
BARON, JA ;
MALENKA, DJ ;
BARRETT, J ;
BUBOLZ, TA .
AMERICAN JOURNAL OF PUBLIC HEALTH, 1990, 80 (12) :1487-1490
[10]   THE ACCURACY OF MEDICARES HOSPITAL CLAIMS DATA - PROGRESS HAS BEEN MADE, BUT PROBLEMS REMAIN [J].
FISHER, ES ;
WHALEY, FS ;
KRUSHAT, WM ;
MALENKA, DJ ;
FLEMING, C ;
BARON, JA ;
HSIA, DC .
AMERICAN JOURNAL OF PUBLIC HEALTH, 1992, 82 (02) :243-248