1.Relationship between the Geriatric Nutrition Risk Index and the Prognosis of Severe Coronavirus Disease 2019 in Korea
Hye Ju YEO ; Daesup LEE ; Mose CHUN ; Jin Ho JANG ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Tae Hwa KIM ; Woo Hyun CHO
Tuberculosis and Respiratory Diseases 2025;88(2):369-379
Background:
Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored.
Methods:
This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted.
Results:
Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001).
Conclusion
Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.
2.Human Understanding is Expected of the Physician: Proposing a Model of Disease Development
Sang-Heum PARK ; Samel PARK ; Jin Young KIM ; Hyeon Ah LEE ; Sang Mi LEE ; Tae Hoon LEE ; Sang Byung BAE ; Sung Hae CHANG ; Si Hyong JANG ; Sung Wan CHUN ; Jong Ho MOON
Korean Journal of Medicine 2025;100(1):44-
3.Relationship between the Geriatric Nutrition Risk Index and the Prognosis of Severe Coronavirus Disease 2019 in Korea
Hye Ju YEO ; Daesup LEE ; Mose CHUN ; Jin Ho JANG ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Tae Hwa KIM ; Woo Hyun CHO
Tuberculosis and Respiratory Diseases 2025;88(2):369-379
Background:
Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored.
Methods:
This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted.
Results:
Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001).
Conclusion
Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.
4.Relationship between the Geriatric Nutrition Risk Index and the Prognosis of Severe Coronavirus Disease 2019 in Korea
Hye Ju YEO ; Daesup LEE ; Mose CHUN ; Jin Ho JANG ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Tae Hwa KIM ; Woo Hyun CHO
Tuberculosis and Respiratory Diseases 2025;88(2):369-379
Background:
Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored.
Methods:
This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted.
Results:
Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001).
Conclusion
Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.
5.Human Understanding is Expected of the Physician: Proposing a Model of Disease Development
Sang-Heum PARK ; Samel PARK ; Jin Young KIM ; Hyeon Ah LEE ; Sang Mi LEE ; Tae Hoon LEE ; Sang Byung BAE ; Sung Hae CHANG ; Si Hyong JANG ; Sung Wan CHUN ; Jong Ho MOON
Korean Journal of Medicine 2025;100(1):44-
6.Human Understanding is Expected of the Physician: Proposing a Model of Disease Development
Sang-Heum PARK ; Samel PARK ; Jin Young KIM ; Hyeon Ah LEE ; Sang Mi LEE ; Tae Hoon LEE ; Sang Byung BAE ; Sung Hae CHANG ; Si Hyong JANG ; Sung Wan CHUN ; Jong Ho MOON
Korean Journal of Medicine 2025;100(1):44-
7.Relationship between the Geriatric Nutrition Risk Index and the Prognosis of Severe Coronavirus Disease 2019 in Korea
Hye Ju YEO ; Daesup LEE ; Mose CHUN ; Jin Ho JANG ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Tae Hwa KIM ; Woo Hyun CHO
Tuberculosis and Respiratory Diseases 2025;88(2):369-379
Background:
Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored.
Methods:
This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted.
Results:
Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001).
Conclusion
Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.
8.Human Understanding is Expected of the Physician: Proposing a Model of Disease Development
Sang-Heum PARK ; Samel PARK ; Jin Young KIM ; Hyeon Ah LEE ; Sang Mi LEE ; Tae Hoon LEE ; Sang Byung BAE ; Sung Hae CHANG ; Si Hyong JANG ; Sung Wan CHUN ; Jong Ho MOON
Korean Journal of Medicine 2025;100(1):44-
9.Relationship between the Geriatric Nutrition Risk Index and the Prognosis of Severe Coronavirus Disease 2019 in Korea
Hye Ju YEO ; Daesup LEE ; Mose CHUN ; Jin Ho JANG ; Sunghoon PARK ; Su Hwan LEE ; Onyu PARK ; Tae Hwa KIM ; Woo Hyun CHO
Tuberculosis and Respiratory Diseases 2025;88(2):369-379
Background:
Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored.
Methods:
This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted.
Results:
Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001).
Conclusion
Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.
10.Human Understanding is Expected of the Physician: Proposing a Model of Disease Development
Sang-Heum PARK ; Samel PARK ; Jin Young KIM ; Hyeon Ah LEE ; Sang Mi LEE ; Tae Hoon LEE ; Sang Byung BAE ; Sung Hae CHANG ; Si Hyong JANG ; Sung Wan CHUN ; Jong Ho MOON
Korean Journal of Medicine 2024;99(2):84-95
In Harrison’s Principles of Internal Medicine, human understanding is emphasized as one of three necessary characteristics that a physician must have. Inflammation, which is caused by inflammatory inducers (inf-ids), is a fundamental feature of disease at the cellular and molecular levels. Inflammation protects the body, but excessive or prolonged inflammation can be damaging and can cause disease. Humans are repeatedly exposed to external and internal environmental factors that generate inf-ids throughout their lives. External environmental factors include microbial and non-microbial inf-ids, as well as stressors that inevitably arise during social interactions. Internal environmental factors include the adaptive physiological response that is present from birth. Inf-ids may also be produced by the four-step habit loop, which consists of a cue (e.g., stressor), emotions, routine act (adaptive response), and a reward. Immune cells in the circulatory system and in tissues may have positive and negative effects in inflammatory responses. However, low-grade inflammation may be difficult to detect. We propose a model of disease development that integrates external and internal environmental factors from the perspective of human understanding.

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