Evaluation of Nutrition Risk in Patients Over 65 Years of Age With Nontraumatic Acute Abdominal Syndrome

Abstract

Background: The objective of this study is to investigate the power of CRP/Albumin ratio, NRS-2002, mNUTRIC scores to predict nutritional needs and mortality in patients over 65 years of age diagnosed with acute abdominal syndrome in the emergency department and then transferred to the surgical intensive care unit. Material and Method: CRP/Albumin ratio, APACHE II, SOFA, NRS-2002 and mNUTRIC scores were calculated. The analysis of the data was conducted in IBM SPSS Statistics Base 22.0 package program. Results: In the analytical evaluation made for nutritional needs, AUC value for mNUTRIC was found to be: 0,683, 95% CI 0,611-0,755, p < 0.001. It was found out that mortality of patients had a statistically significant and moderate correlation with mNUTRIC score (r = 0.537; p < 0.001). In the analytical evaluation made for mortality, mNUTRIC's AUC value (AUC: 0.808, 95% CI 0.736-0.880, p < 0.001) was found to be the highest. When the cutoff value determined to predict mortality was taken as 3.5 for mNUTRIC score, sensitivity was 75.9% and specificity was 69.4%. Conclusion: The evaluation of the risk of malnutrition through nutritional risk tools in intensive care patients over 65 years of age with acute abdominal syndrome can also predict nutritional needs in the early period besides mortality. Based on our data, the fact that mNUTRIC score cutoff value in older patients hospitalized in intensive care is 3.5 and higher may be a predictor for ICU mortality.

Modified NUTRIC Score as a Predictor of All-cause Mortality in Critically Ill Patients: A Systematic Review and Meta-analysis

“…3, Table 1 displays the features of every included study that is a part of the current meta-analysis. Bias in the outcome measurement was low in 24 studies, 3, [13][14][15][16][17][18][19][22][23][24][25][26][27][29][30][31][32][33][34]36,[39][40][41][42][43] moderate in five studies, 20,28,35,37,38 and high risk of bias in two studies (Fig. 2).…”

Artificial intelligence driven malnutrition diagnostic model for patients with acute abdomen based on GLIM criteria: a cross-sectional research protocol

“…The prevalence of malnutrition in patients with acute abdomen is 29.3% due to a decreased appetite for autonomous food and a high catabolic state caused by the disease 2 3. Furthermore, the elderly population (age >65) accounts for as high as 20% of patients with acute abdomen 4 5. Elderly patients with acute abdomen have a higher incidence of malnutrition due to multiple underlying diseases.…”

Impact of malnutrition on the clinical evolution of very elderly patients undergoing emergency surgery for abdominal pathology

“…Although the importance of nutritional status in surgical patients is widely known [10], few published studies have involved the participation of very elderly patients which have analysed the influence of nutritional status on their post-surgical clinical evolution; and most of these studies have not had the participation of a geriatrics team [11,12]. The aim of this study was analyse the prevalence and influence of nutritional status, using GLIM criteria, of very elderly patients undergoing emergency abdominal surgery, on postoperative complications as well as on mean length of hospital stay and mortality.…”