Masaaki Higashiyama1, Shunsuke Komoto1, Yasuo Suzuki2, Mamoru Watanabe3, Toshifumi Hibi4, Soichiro Miura5, Ryota Hokari1. 1. Department of Internal Medicine, National Defense Medical College, Saitama, Japan. 2. Department of Internal Medicine, Sakura Medical Center, Toho University, Chiba, Japan. 3. Department of Gastroenterology and Hepatology, TMDU Advanced Research Institute, Tokyo Medical and Dental University, Tokyo, Japan. 4. Kitasato Institute Hospital Center for Advanced IBD Research and Treatment, Tokyo, Japan. 5. International University of Health and Welfare Graduate School, Tokyo, Japan.
Abstract
BACKGROUND AND AIM: Worldwide increasing aging societies have many elderlies with intractable diseases including ulcerative colitis (UC). Reportedly, each patients' frailty as well as chronological age is a clinical risk factor of elderly-onset UC (EOUC). Because malnutrition is one of the major manifestations of frailty, we aimed to investigate the effect of malnutrition on the prognosis of EOUC with geriatric nutritional risk index (GNRI), a prognostic tool for several diseases in the elderly to estimate malnutrition, and to evaluate clinical risks among EOUC patients in Japan, the world-leading aging society. METHODS: The EOUC patients (≥ 65 years at diagnosis, n = 2778) in the previous nationwide survey were classified by age and GNRI, and odds ratios (ORs) of hospitalization and UC-related surgery were determined to evaluate the effects of malnutrition on the EOUC patients as well as aging. RESULTS: The risks of hospitalization and surgery were elevated as age advanced. The value of GNRI, negatively correlated with disease activity (r = -0.53), could distinguish severe activity (cutoff ≤ 86.82, sensitivity = 0.79, and specificity = 0.77) and discriminate the EOUC patients suffering from surgery and hospitalization. In a multivariate analysis, GNRI ≤ 86.82 was a higher risk of hospitalization (OR: 4.0, 95% CI, 2.5-6.5) and surgery (OR: 2.7, 95% CI, 0.98-7.4) than cutoff age ≥ 75 years old (OR of hospitalization and surgery were 1.4 [95% CI, 0.99-2.0] and 2.3 [95% CI, 0.8-6.3], respectively). CONCLUSION: Malnutrition estimated by GNRI was significantly related with poor clinical courses of the EOUC patients, suggesting that evaluation of nutritional status at the onset might be useful for predicting risks of clinical courses.
BACKGROUND AND AIM: Worldwide increasing aging societies have many elderlies with intractable diseases including ulcerative colitis (UC). Reportedly, each patients' frailty as well as chronological age is a clinical risk factor of elderly-onset UC (EOUC). Because malnutrition is one of the major manifestations of frailty, we aimed to investigate the effect of malnutrition on the prognosis of EOUC with geriatric nutritional risk index (GNRI), a prognostic tool for several diseases in the elderly to estimate malnutrition, and to evaluate clinical risks among EOUC patients in Japan, the world-leading aging society. METHODS: The EOUC patients (≥ 65 years at diagnosis, n = 2778) in the previous nationwide survey were classified by age and GNRI, and odds ratios (ORs) of hospitalization and UC-related surgery were determined to evaluate the effects of malnutrition on the EOUC patients as well as aging. RESULTS: The risks of hospitalization and surgery were elevated as age advanced. The value of GNRI, negatively correlated with disease activity (r = -0.53), could distinguish severe activity (cutoff ≤ 86.82, sensitivity = 0.79, and specificity = 0.77) and discriminate the EOUC patients suffering from surgery and hospitalization. In a multivariate analysis, GNRI ≤ 86.82 was a higher risk of hospitalization (OR: 4.0, 95% CI, 2.5-6.5) and surgery (OR: 2.7, 95% CI, 0.98-7.4) than cutoff age ≥ 75 years old (OR of hospitalization and surgery were 1.4 [95% CI, 0.99-2.0] and 2.3 [95% CI, 0.8-6.3], respectively). CONCLUSION: Malnutrition estimated by GNRI was significantly related with poor clinical courses of the EOUC patients, suggesting that evaluation of nutritional status at the onset might be useful for predicting risks of clinical courses.