TY - JOUR
T1 - Identification of incident CKD stage 3 in research studies
AU - Grams, Morgan E.
AU - Rebholz, Casey M.
AU - McMahon, Blaithin
AU - Whelton, Seamus
AU - Ballew, Shoshana H.
AU - Selvin, Elizabeth
AU - Wruck, Lisa
AU - Coresh, Josef
N1 - Funding Information:
Support: Dr Grams is supported by National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grant K08DK092287 . The ARIC Study is carried out as a collaborative study supported by National Heart, Lung and Blood Institute contracts ( HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C ) and NIDDK grant R01 DK076770 . Dr Grams had full access to all data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis.
PY - 2014/8
Y1 - 2014/8
N2 - Background In epidemiologic research, incident chronic kidney disease (CKD) commonly is determined by laboratory tests performed at planned study visits. Given the morbidity and mortality associated with CKD, persons with incident disease may be less likely to attend scheduled visits, affecting observed associations. The objective of this study was to quantify loss to follow-up by CKD status and determine whether supplementation with diagnostic code data improves capture of incident CKD. Study Design Prospective cohort study. Setting & Participants 11,560 participants in the Atherosclerosis Risk in Communities (ARIC) Study underwent continuous surveillance for hospitalizations and death from baseline visit (1996-1999) to follow-up visit (2011-2013). A subset of hospitalizations in Washington County, MD, was used in diagnostic code validation (n = 2,540). Predictor Baseline demographics and comorbid conditions. Outcomes Incident CKD stage 3 ascertained by follow-up visit (visit-based definition) or hospitalization surveillance (hospitalization-based definition). Measurements Visit-based definition: ≥25% decline from baseline estimated glomerular filtration rate to <60 mL/min/1.73 m2 at follow-up visit; hospitalization-based definition: hospitalization CKD diagnostic code. Results Of 11,560 participants, 5,951 attended the follow-up visit and 9,264 were hospitalized. Never-hospitalized participants were younger, more often female, and had fewer comorbid conditions; 73.5% attended the follow-up visit. Incident CKD stage 3 occurred in 1,172 participants by the visit-based definition (251 were never hospitalized) and 1,078 participants by the hospitalization-based definition (237 attended the follow-up study visit). Sensitivity of the hospitalization-based CKD definition was 35.5% (95% CI, 31.6%-39.7%); specificity was 95.7% (95% CI, 94.2%-96.8%). Sensitivity was higher with later time period, older participant age, and baseline prevalent diabetes and CKD. Limitations A subset of hospitalizations was used for validation; 15-year gap between study visits. Conclusions The sensitivity of diagnostic code-identified CKD is low and varies by certain factors; however, supplementing a visit-based definition with hospitalization information can increase disease identification during periods of follow-up without study visits.
AB - Background In epidemiologic research, incident chronic kidney disease (CKD) commonly is determined by laboratory tests performed at planned study visits. Given the morbidity and mortality associated with CKD, persons with incident disease may be less likely to attend scheduled visits, affecting observed associations. The objective of this study was to quantify loss to follow-up by CKD status and determine whether supplementation with diagnostic code data improves capture of incident CKD. Study Design Prospective cohort study. Setting & Participants 11,560 participants in the Atherosclerosis Risk in Communities (ARIC) Study underwent continuous surveillance for hospitalizations and death from baseline visit (1996-1999) to follow-up visit (2011-2013). A subset of hospitalizations in Washington County, MD, was used in diagnostic code validation (n = 2,540). Predictor Baseline demographics and comorbid conditions. Outcomes Incident CKD stage 3 ascertained by follow-up visit (visit-based definition) or hospitalization surveillance (hospitalization-based definition). Measurements Visit-based definition: ≥25% decline from baseline estimated glomerular filtration rate to <60 mL/min/1.73 m2 at follow-up visit; hospitalization-based definition: hospitalization CKD diagnostic code. Results Of 11,560 participants, 5,951 attended the follow-up visit and 9,264 were hospitalized. Never-hospitalized participants were younger, more often female, and had fewer comorbid conditions; 73.5% attended the follow-up visit. Incident CKD stage 3 occurred in 1,172 participants by the visit-based definition (251 were never hospitalized) and 1,078 participants by the hospitalization-based definition (237 attended the follow-up study visit). Sensitivity of the hospitalization-based CKD definition was 35.5% (95% CI, 31.6%-39.7%); specificity was 95.7% (95% CI, 94.2%-96.8%). Sensitivity was higher with later time period, older participant age, and baseline prevalent diabetes and CKD. Limitations A subset of hospitalizations was used for validation; 15-year gap between study visits. Conclusions The sensitivity of diagnostic code-identified CKD is low and varies by certain factors; however, supplementing a visit-based definition with hospitalization information can increase disease identification during periods of follow-up without study visits.
KW - CKD surveillance
KW - Chronic kidney disease (CKD)
KW - Index Words
KW - administrative data
KW - diagnostic codes
KW - identification
KW - incident
KW - loss to follow-up
KW - screening
KW - validation
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U2 - 10.1053/j.ajkd.2014.02.021
DO - 10.1053/j.ajkd.2014.02.021
M3 - Article
C2 - 24726628
AN - SCOPUS:84905115537
SN - 0272-6386
VL - 64
SP - 214
EP - 221
JO - American Journal of Kidney Diseases
JF - American Journal of Kidney Diseases
IS - 2
ER -