Relation of geriatric nutritional risk index with clinical risks in elderly‐onset ulcerative colitis

Autor: Yasuo Suzuki, Toshifumi Hibi, Soichiro Miura, Ryota Hokari, Mamoru Watanabe, Shunsuke Komoto, Masaaki Higashiyama
Rok vydání: 2020
Předmět:
Zdroj: Journal of Gastroenterology and Hepatology. 36:163-170
ISSN: 1440-1746
0815-9319
DOI: 10.1111/jgh.15161
Popis: 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.
Databáze: OpenAIRE