1.Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors
Jong Hwan JEONG ; Manbong HEO ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Taehwa KIM ; Hye Ju YEO ; Jin Ho JANG ; Woo Hyun CHO ; Jung-Wan YOO ;
Tuberculosis and Respiratory Diseases 2025;88(2):361-368
Background:
The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.
Methods:
We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.
Results:
Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3–4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.
Conclusion
Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.
2.Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors
Jong Hwan JEONG ; Manbong HEO ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Taehwa KIM ; Hye Ju YEO ; Jin Ho JANG ; Woo Hyun CHO ; Jung-Wan YOO ;
Tuberculosis and Respiratory Diseases 2025;88(2):361-368
Background:
The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.
Methods:
We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.
Results:
Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3–4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.
Conclusion
Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.
3.Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors
Jong Hwan JEONG ; Manbong HEO ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Taehwa KIM ; Hye Ju YEO ; Jin Ho JANG ; Woo Hyun CHO ; Jung-Wan YOO ;
Tuberculosis and Respiratory Diseases 2025;88(2):361-368
Background:
The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.
Methods:
We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.
Results:
Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3–4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.
Conclusion
Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.
4.Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors
Jong Hwan JEONG ; Manbong HEO ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Taehwa KIM ; Hye Ju YEO ; Jin Ho JANG ; Woo Hyun CHO ; Jung-Wan YOO ;
Tuberculosis and Respiratory Diseases 2025;88(2):361-368
Background:
The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.
Methods:
We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.
Results:
Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3–4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.
Conclusion
Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.
5.Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors
Jong Hwan JEONG ; Manbong HEO ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Taehwa KIM ; Hye Ju YEO ; Jin Ho JANG ; Woo Hyun CHO ; Jung-Wan YOO ;
Tuberculosis and Respiratory Diseases 2025;88(2):361-368
Background:
The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.
Methods:
We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.
Results:
Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3–4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.
Conclusion
Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.
6.Central Anticholinergic Syndrome Induced by Atropine Eye Drops: A Case Report
Jung Sun HEO ; Je Jin LEE ; Sang Uk CHOI ; Nam Ju MOON ; Joon Hyung YEO
Journal of the Korean Ophthalmological Society 2024;65(11):745-748
Purpose:
We present a case of central anticholinergic syndrome following the administration of atropine eye drops.Case summary: A 60-year-old male presented with decreased visual acuity in his left eye and was diagnosed with intraocular lens dislocation. Preoperatively, Isopto atropine® eye drops (1 drop at 15-minutes intervals) were used for pupil dilation. Within an hour of the first instillation, the patient exhibited drowsiness, disorientation, agitation, and urinary retention. Laboratory tests and computed tomography of the brain were unremarkable. Considering the recent administration of atropine eye drops, a diagnosis of central anticholinergic syndrome was made. The surgery was postponed and the patient recovered fully after 3 hours of observation. He remained asymptomatic during an additional day of hospitalization.
Conclusions
A small dose of atropine eye drops even at a therapeutic dose can induce central anticholinergic syndrome. Therefore, ophthalmologists should be aware of this rare and severe complication.
7.Central Anticholinergic Syndrome Induced by Atropine Eye Drops: A Case Report
Jung Sun HEO ; Je Jin LEE ; Sang Uk CHOI ; Nam Ju MOON ; Joon Hyung YEO
Journal of the Korean Ophthalmological Society 2024;65(11):745-748
Purpose:
We present a case of central anticholinergic syndrome following the administration of atropine eye drops.Case summary: A 60-year-old male presented with decreased visual acuity in his left eye and was diagnosed with intraocular lens dislocation. Preoperatively, Isopto atropine® eye drops (1 drop at 15-minutes intervals) were used for pupil dilation. Within an hour of the first instillation, the patient exhibited drowsiness, disorientation, agitation, and urinary retention. Laboratory tests and computed tomography of the brain were unremarkable. Considering the recent administration of atropine eye drops, a diagnosis of central anticholinergic syndrome was made. The surgery was postponed and the patient recovered fully after 3 hours of observation. He remained asymptomatic during an additional day of hospitalization.
Conclusions
A small dose of atropine eye drops even at a therapeutic dose can induce central anticholinergic syndrome. Therefore, ophthalmologists should be aware of this rare and severe complication.
8.Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
Sang Won PARK ; Na Young YEO ; Seonguk KANG ; Taejun HA ; Tae-Hoon KIM ; DooHee LEE ; Dowon KIM ; Seheon CHOI ; Minkyu KIM ; DongHoon LEE ; DoHyeon KIM ; Woo Jin KIM ; Seung-Joon LEE ; Yeon-Jeong HEO ; Da Hye MOON ; Seon-Sook HAN ; Yoon KIM ; Hyun-Soo CHOI ; Dong Kyu OH ; Su Yeon LEE ; MiHyeon PARK ; Chae-Man LIM ; Jeongwon HEO ; On behalf of the Korean Sepsis Alliance (KSA) Investigators
Journal of Korean Medical Science 2024;39(5):e53-
Background:
Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be allocated efficiently. We constructed machine learning (ML) models to predict the mortality of patients with sepsis in a hospital emergency department.
Methods:
This study prospectively collected nationwide data from an ongoing multicenter cohort of patients with sepsis identified in the emergency department. Patients were enrolled from 19 hospitals between September 2019 and December 2020. For acquired data from 3,657 survivors and 1,455 deaths, six ML models (logistic regression, support vector machine, random forest, extreme gradient boosting [XGBoost], light gradient boosting machine, and categorical boosting [CatBoost]) were constructed using fivefold cross-validation to predict mortality. Through these models, 44 clinical variables measured on the day of admission were compared with six sequential organ failure assessment (SOFA) components (PaO 2 /FIO 2 [PF], platelets (PLT), bilirubin, cardiovascular, Glasgow Coma Scale score, and creatinine).The confidence interval (CI) was obtained by performing 10,000 repeated measurements via random sampling of the test dataset. All results were explained and interpreted using Shapley’s additive explanations (SHAP).
Results:
Of the 5,112 participants, CatBoost exhibited the highest area under the curve (AUC) of 0.800 (95% CI, 0.756–0.840) using clinical variables. Using the SOFA components for the same patient, XGBoost exhibited the highest AUC of 0.678 (95% CI, 0.626–0.730). As interpreted by SHAP, albumin, lactate, blood urea nitrogen, and international normalization ratio were determined to significantly affect the results. Additionally, PF and PLTs in the SOFA component significantly influenced the prediction results.
Conclusion
Newly established ML-based models achieved good prediction of mortality in patients with sepsis. Using several clinical variables acquired at the baseline can provide more accurate results for early predictions than using SOFA components. Additionally, the impact of each variable was identified.
9.Association between Age-Adjusted Endothelial Activation and Stress Index and Intensive Care Unit Mortality in Patients with Severe COVID-19
Jong Hwan JEONG ; Manbong HEO ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Taehwa KIM ; Hye Ju YEO ; Jin Ho JANG ; Woo Hyun CHO ; Jung-Wan YOO ;
Tuberculosis and Respiratory Diseases 2024;87(4):524-531
Background:
Endothelial activation and stress index (EASIX) reflects endothelial dysfunction or damage. Because endothelial dysfunction is one of the key mechanisms, a few studies have shown the clinical usefulness of original and age-adjusted EASIX (age-EASIX) in patients with coronavirus disease 2019 (COVID-19). We aimed to evaluate the clinical utility of age-EASIX in predicting intensive care unit (ICU) mortality in critically ill patients with COVID-19 in South Korea.
Methods:
Secondary analysis was performed using clinical data retrospectively collected from 22 nationwide hospitals in South Korea between January 1, 2020, and August 31, 2021. Patients were at least 19 years old and admitted to the ICU for severe COVID-19, demanding at least high-flow nasal cannula oxygen therapy. EASIX [lactate dehydrogenase (U/L)×creatinine (mg/dL)/platelet count (109 cells/L)] and age-EASIX (EASIX×age) were calculated and log2-transformed.
Results:
The mean age of 908 critically ill patients with COVID-19 was 67.4 years with 59.7% male sex. The mean log2 age-EASIX was 7.38±1.45. Non-survivors (n=222, 24.4%) in the ICU had a significantly higher log2 age-EASIX than of survivors (8.2±1.52 vs. 7.1±1.32, p<0.001). log2 age-EASIX was significantly associated with ICU mortality (odds ratio, 1.541; 95% confidence interval, 1.322 to 1.796; p<0.001) and had a better area under the receiver operating characteristic curve than of the sequential organ failure assessment (SOFA) score in predicting ICU mortality (0.730 vs. 0.660, p=0.001).
Conclusion
Age-EASIX is significantly associated with ICU mortality and has better discriminatory ability than the SOFA score in predicting ICU mortality.
10.Central Anticholinergic Syndrome Induced by Atropine Eye Drops: A Case Report
Jung Sun HEO ; Je Jin LEE ; Sang Uk CHOI ; Nam Ju MOON ; Joon Hyung YEO
Journal of the Korean Ophthalmological Society 2024;65(11):745-748
Purpose:
We present a case of central anticholinergic syndrome following the administration of atropine eye drops.Case summary: A 60-year-old male presented with decreased visual acuity in his left eye and was diagnosed with intraocular lens dislocation. Preoperatively, Isopto atropine® eye drops (1 drop at 15-minutes intervals) were used for pupil dilation. Within an hour of the first instillation, the patient exhibited drowsiness, disorientation, agitation, and urinary retention. Laboratory tests and computed tomography of the brain were unremarkable. Considering the recent administration of atropine eye drops, a diagnosis of central anticholinergic syndrome was made. The surgery was postponed and the patient recovered fully after 3 hours of observation. He remained asymptomatic during an additional day of hospitalization.
Conclusions
A small dose of atropine eye drops even at a therapeutic dose can induce central anticholinergic syndrome. Therefore, ophthalmologists should be aware of this rare and severe complication.

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