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Usefulness of KL-6 for Predicting Clinical Outcomes in Hospitalized COVID-19 Patients
by
Mina Hur
, Jong Ho Lee
, Mikyoung Park
, Chae Hoon Lee
, Hanah Kim
, Minjeong Nam
in
Age
/ Analysis
/ biomarker
/ Biomarkers
/ Care and treatment
/ Chi-square test
/ Child, Preschool
/ clinical outcome
/ Clinical outcomes
/ Comorbidity
/ Coronaviruses
/ COVID-19
/ COVID-19 - therapy
/ Diagnosis
/ Disease
/ Enzymes
/ Extracorporeal membrane oxygenation
/ Hospital patients
/ Hospitalization
/ Humans
/ Japan
/ Japan - epidemiology
/ KL-6
/ KL-6; prediction; clinical outcome; COVID-19; biomarker
/ Laboratories
/ Lung Diseases, Interstitial
/ Medical prognosis
/ Medicine (General)
/ Mortality
/ Patients
/ Population
/ prediction
/ R5-920
/ ROC Curve
/ Sepsis
/ Severe acute respiratory syndrome coronavirus 2
/ Software
/ Statistical analysis
/ Survival analysis
/ Tumor necrosis factor
/ Tumor necrosis factor-TNF
/ Ventilators
2022
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Usefulness of KL-6 for Predicting Clinical Outcomes in Hospitalized COVID-19 Patients
by
Mina Hur
, Jong Ho Lee
, Mikyoung Park
, Chae Hoon Lee
, Hanah Kim
, Minjeong Nam
in
Age
/ Analysis
/ biomarker
/ Biomarkers
/ Care and treatment
/ Chi-square test
/ Child, Preschool
/ clinical outcome
/ Clinical outcomes
/ Comorbidity
/ Coronaviruses
/ COVID-19
/ COVID-19 - therapy
/ Diagnosis
/ Disease
/ Enzymes
/ Extracorporeal membrane oxygenation
/ Hospital patients
/ Hospitalization
/ Humans
/ Japan
/ Japan - epidemiology
/ KL-6
/ KL-6; prediction; clinical outcome; COVID-19; biomarker
/ Laboratories
/ Lung Diseases, Interstitial
/ Medical prognosis
/ Medicine (General)
/ Mortality
/ Patients
/ Population
/ prediction
/ R5-920
/ ROC Curve
/ Sepsis
/ Severe acute respiratory syndrome coronavirus 2
/ Software
/ Statistical analysis
/ Survival analysis
/ Tumor necrosis factor
/ Tumor necrosis factor-TNF
/ Ventilators
2022
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Do you wish to request the book?
Usefulness of KL-6 for Predicting Clinical Outcomes in Hospitalized COVID-19 Patients
by
Mina Hur
, Jong Ho Lee
, Mikyoung Park
, Chae Hoon Lee
, Hanah Kim
, Minjeong Nam
in
Age
/ Analysis
/ biomarker
/ Biomarkers
/ Care and treatment
/ Chi-square test
/ Child, Preschool
/ clinical outcome
/ Clinical outcomes
/ Comorbidity
/ Coronaviruses
/ COVID-19
/ COVID-19 - therapy
/ Diagnosis
/ Disease
/ Enzymes
/ Extracorporeal membrane oxygenation
/ Hospital patients
/ Hospitalization
/ Humans
/ Japan
/ Japan - epidemiology
/ KL-6
/ KL-6; prediction; clinical outcome; COVID-19; biomarker
/ Laboratories
/ Lung Diseases, Interstitial
/ Medical prognosis
/ Medicine (General)
/ Mortality
/ Patients
/ Population
/ prediction
/ R5-920
/ ROC Curve
/ Sepsis
/ Severe acute respiratory syndrome coronavirus 2
/ Software
/ Statistical analysis
/ Survival analysis
/ Tumor necrosis factor
/ Tumor necrosis factor-TNF
/ Ventilators
2022
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Usefulness of KL-6 for Predicting Clinical Outcomes in Hospitalized COVID-19 Patients
Journal Article
Usefulness of KL-6 for Predicting Clinical Outcomes in Hospitalized COVID-19 Patients
2022
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Overview
Background: Krebs von den Lungen 6 (KL-6) is a novel biomarker for interstitial lung disease, and it reflects acute lung injury. We explored the usefulness of KL-6 to predict clinical outcomes in hospitalized coronavirus disease 2019 (COVID-19) patients. Methods: In a total of 48 hospitalized COVID-19 patients, KL-6 levels were measured using the HISCL KL-6 assay (Sysmex, Kobe, Japan) with the HISCL 5000 automated analyzer (Sysmex). Clinical outcomes (intensive care unit [ICU] admission, ventilator use, extracorporeal membrane oxygenation [ECMO] use, and 30-day mortality) were analyzed according to KL-6 percentiles. Age, initial KL-6 level, Charlson comorbidity index (CCI), and critical disease were compared using the receiver operating characteristic (ROC) curve and Kaplan-Meier methods for clinical outcomes. Results: KL-6 quartiles were associated with ICU admission, ventilator use, and ECMO use (all p < 0.05), except 30-day mortality (p = 0.187). On ROC curve analysis, initial KL-6 level predicted ICU admission, ventilator use, and ECMO use significantly better than age, CCI, and critical disease (all p < 0.05); age, initial KL-6 level, CCI, and critical disease predicted 30-day mortality comparably. On Kaplan–Meier survival analysis, hazard ratios (95% confidence interval) were 4.8 (1.2–19.3) for age, 4.7 (1.1–21.6) for initial KL-6 level, 3.9 (0.9–16.2) for CCI, and 2.1 (0.5–10.3) for critical disease. Conclusions: This study demonstrated that KL-6 could be a useful biomarker to predict clinical outcomes in hospitalized COVID-19 patients. KL-6 may contribute to identifying COVID-19 patients requiring critical care, including ICU admission and ventilator and/or ECMO use.
Publisher
MDPI AG,MDPI
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