| アブストラクト | Aim: There are different methods to identify chronic kidney disease (CKD) in Clinical Practice Research Datalink (CPRD)-Hospital Episode Statistics (HES). Methods: Using CPRD-HES, nonvalvular atrial fibrillation patients were classified according to CKD category. Results: Using glomerular filtration rate/estimated glomerular filtration rate tests only to identify patients with CKD resulted in 3.5% stage 2, 2.7% stage 3, 0.3% stage 4 and 0.03% stage 5. Using data from diagnostic codes to identify patients with CKD resulted in 1.4% stage 3, 0.4% stage 4 and 0.3% stage 5. Using test records and codes resulted in 3.5% stage 2, 4.0% stage 3, 0.6% stage 4 and 0.4% stage 5. Conclusion: To identify CKD status in CPRD-HES, a combination of test records and codes should be used. Using diagnostic codes only significantly underestimates CKD prevalence. |
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| ジャーナル名 | Journal of comparative effectiveness research |
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| Pubmed追加日 | 2020/3/10 |
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| 投稿者 | Ramagopalan, Sreeram; Leahy, Thomas P; Stamp, Elaine; Sammon, Cormac |
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| 組織名 | Centre for Observational Research & Data Sciences, Bristol-Myers Squibb,;Uxbridge, UK.;PHMR Ltd, Berkeley Works, London, UK. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/32148084/ |
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