Evidence map›Paper›PMID 36151235›Full record

ArticleScientific reports2022

Urine creatinine concentration influences the prognostic value of proteinuria for MACE prediction from the findings of the KNOW-CKD study.

Yun Jung Oh, Han Ro, Wookyung Chung, Young Youl Hyun, Sue Kyung Park, Yong-Soo Kim, Soo Wan Kim, Yun Kyu Oh, Kook-Hwan Oh, Ji Yong Jung

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yun Jung OhDepartment of Internal Medicine, Graduate School of Medicine, Gachon University, Incheon, Republic of Korea.
Han RoDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea.ORCID 0000-0001-7170-0571
Wookyung ChungDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea.ORCID 0000-0001-7657-130X
Young Youl HyunDepartment of Internal Medicine, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, Republic of Korea.ORCID 0000-0002-4204-9908
Sue Kyung ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-5002-9707
Yong-Soo KimDepartment of Internal Medicine, Seoul St. Mary's Hospital, Seoul, Republic of Korea.ORCID 0000-0003-2152-1289
Soo Wan KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea.ORCID 0000-0002-4675-9448
Yun Kyu OhDepartment of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea.ORCID 0000-0001-8632-5743
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0001-9525-2179
Ji Yong JungDepartment of Internal Medicine, Graduate School of Medicine, Gachon University, Incheon, Republic of Korea. jyjung@gachon.ac.kr.ORCID 0000-0003-1271-8012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteinuria is typically quantified according to the spot urine protein-creatinine ratio (UPCR) and an association with cardiovascular events has not been thoroughly investigated in chronic kidney disease (CKD) patients. We investigated whether the severity of proteinuria assessed by spot UPCR is associated with an increased risk for cardiovascular outcomes in the CKD population, and whether the relationship is influenced by urine creatinine concentration. We analyzed 1746 patients enrolled as part of The KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD). Multivariable Cox proportional hazard analysis was performed to evaluate models with proteinuria as a predictor of renal events and extended major adverse cardiovascular events (eMACEs). Risk for renal events was significantly associated with proteinuria across all eGFR and UPCR categories. By contrast, risk for eMACEs increased significantly with UPCR in patients with eGFR ≥ 60 mL/min/1.73 m

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicCohort StudiesCreatinineGlomerular Filtration RateHumansPrognosisProteinuriaCreatinine

Identifiers

PMID36151235
PMCPMC9508084

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