Urine Protein Levels Predict Future Development of Cerebral Infarction in Koreans
- 주제(키워드) Proteinuria , cerebral infarction , cohort study , stroke , cardiovascular
- 주제(기타) Medicine, General & Internal
- 설명문(일반) [Lee, Sang Min] Kyung Hee Univ, Sch Med, Dept Psychiat, Med Ctr, Seoul, South Korea; [Ha, Eunhee] Ewha Womans Univ, Coll Med, Dept Occupat & Environm Med, Seoul, South Korea; [Ryoo, Jae-Hong] Kyung Hee Univ, Dept Occupat & Environm Med, Sch Med, 23 Kyungheedae Ro, Seoul 02447, South Korea
- 등재 SCIE, SCOPUS, KCI등재
- OA유형 gold, Green Published
- 발행기관 YONSEI UNIV COLL MEDICINE
- 발행년도 2022
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000190762
- 본문언어 영어
- Published As https://doi.org/10.3349/ymj.2022.63.1.66
- PubMed https://pubmed.ncbi.nlm.nih.gov/34913285
초록/요약
Purpose: Proteinuria is a clinical sign of adverse cardiovascular outcomes, induding stroke. We aimed to assess the relationship between proteinuria and the occurrence of cerebral infarction. Materials and Methods: In total, 208854 Koreans who participated in the 2009 medical examination were followed up until 2013 using the database of the National Health Insurance Service. The results of urine dipstick tests were utilized to assess proteinuria as absent, 1+, 2+, or >= 3+. The International Classification of Diseases code 163 was used to document cerebral infarction. Results: Between 2009 and 2013, 2383 cases (1.14%) of cerebral infarction occurred during 912772.9 person-years of follow-up. I Iazard ratios for incident cerebral infarction increased with inceasing amounts of urine protein from 1.53 (1.23-1.90) in group 2 (1+), 1.67 (1.22-2.28) in group 3 (2+), and 2.66 (1.79-3.96) in group 4 (>= 3+), compared to the reference group with little to no detectable urine protein (p<0.001, respectively). Conclusion: An increase in urine protein levels was significantly related to the risk of developing cerebral infarction. Our results suggest that proteinuria might he a potential risk factor for cerebral infarction and that urine dipstick test analysis may be clinically useful for predicting stroke.
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