Evidence map›Paper›PMID 39987898›Full record

ArticleThe Korean journal of internal medicine2025

Initial and peak serum levels of Krebs von den Lungen-6 for predicting the prognosis of patients with COVID-19.

Geonui Kim, Hyeonwoo Kwon, Sang Hyun Ra, Euijin Chang, Seongman Bae, Jiwon Jung, Min Jae Kim, Yong Pil Chong, Sang-Oh Lee, Sang-Ho Choi and 2 more

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Article in The Korean journal of internal medicine, 2025. 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

12 authors.

Geonui KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hyeonwoo KwonDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang Hyun RaDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Euijin ChangDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seongman BaeDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jiwon JungDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Min Jae KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Yong Pil ChongDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang-Oh LeeDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang-Ho ChoiDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Yang Soo KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sung-Han KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea RS-2023-00219002
6 · The paper itself

Abstract

BACKGROUND/

aimsKrebs von den Lungen-6 (KL-6) is associated with prognosis in patients with COVID-19. However, there is limited data on the correlation between the prognosis of COVID-19 and varying KL-6 levels at different time points. We investigated the optimal cutoff values of the initial and peak serum KL-6 levels to predict mortality and evaluated their correlation with mortality.

methodsThis retrospective cohort study collected data on serially collected serum KL-6 levels in patients hospitalized with COVID-19 between October 2020 and January 2022 at a single tertiary hospital in South Korea. The area under the receiver operating characteristic curve and Youden index were used to determine the cutoff points for the initial and peak KL-6 levels that best predicted 30-day mortality. The association between the initial and peak KL-6 values was assessed by univariate and multivariate logistic regression models.

resultsA total of 349 patients were included in this study. The mean initial and peak KL-6 levels were significantly higher in the non-survivor group than in the survivor group. The initial and peak KL-6 values that best predicted 30-day mortality were 491.85 U/mL and 660.05 U/mL, respectively. An initial KL-6 level greater than 491.85 U/mL and a peak KL-6 level greater than 660.05 U/mL were significantly associated with 30-day mortality.

conclusionThe initial and peak levels of KL-6 were significantly associated with 30-day mortality in hospitalized patients with COVID-19. These findings suggest that serially monitoring blood KL-6 levels could be a valuable prognostic indicator for COVID-19.

Indexed as

COVID-19Mucin-1AdultAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRepublic of KoreaRetrospective StudiesSARS-CoV-2BiomarkersMUC1 protein, humanMucin-1COVID-19KL-6 antigenPrognosis

Identifiers

PMID39987898
PMCPMC11938661

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.