The geriatric nutritional risk index (GNRI) is a simple and efficient tool to assess the nutritional status of patients with malignancies or after surgery. Because trauma patients constitute a specific population that generally acquires accidental and acute injury, this study aimed to identify the association between the GNRI at admission and mortality outcomes of older trauma patients in the intensive care unit (ICU). Methods: The study population included 700 older trauma patients admitted to the ICU between 1 January 2009 and 31 December 2019. The collected data included age, sex, body mass index (BMI), albumin level at admission, preexisting comorbidities, injury severity score (ISS), and in-hospital mortality. Multivariate logistic regression analysis was conducted to identify the independent effects of univariate predictive variables resulting in mortality in our study population. The study population was categorized into four nutritional risk groups: a major-risk group (GNRI < 82; n = 128), moderate-risk group (GNRI 82 to 98; n = 245). Results: There was no significant difference in sex predominance, age, and BMI between the mortality (n = 125) and survival (n = 575) groups. The GNRI was significantly lower in the mortality group than in the survival group (89.8 ± 12.9 vs. 94.2 ± 12.0, p < 0.001). Multivariate logistic regression analysis showed that the GNRI (odds ratio—OR, 0.97; 95% confidence interval (CI) 0.95–0.99; p = 0.001), preexisting end-stage renal disease (OR, 3.6; 95% CI, 1.70–7.67; p = 0.001), and ISS (OR, 1.1; 95% CI, 1.05–1.10; p < 0.001) were significant independent risk factors for mortality. Compared to the patients in group of GNRI > 98, those patients in group of GNRI < 82 presented a significantly higher mortality rate (26.6% vs. 13.1%; p < 0.001) and length of stay in hospital (26.5 days vs. 20.9 days; p = 0.016). Conclusions: This study demonstrated that GNRI is a significant independent risk factor and a promising simple screening tool to identify the subjects with malnutrition associated with higher risk for mortality in those ICU elderly trauma patients.

Background: Malnutrition is frequently underdiagnosed in geriatric patients and is considered to be a contributing factor for worse outcomes during hospitalization. In addition, elderly patients who undergo trauma are often malnourished at the time of incurring fractures. The geriatric nutritional risk index (GNRI), calculated based on the serum albumin level and the ratio of present body weight to ideal body weight, was proposed for the assessment of the nutritional status of elderly patients with various illnesses. This study aimed to investigate whether the GNRI has a prognostic value that links the nutritional status and mortality outcomes of elderly patients who have previously undergone trauma with femoral fractures. Methods: From January 1, 2009 to December 31, 2019, a total of 678 elderly patients with femoral fractures were categorized into four nutritional risk groups: a major-risk group (GNRI < 82; group 1, n = 127), moderate-risk group (GNRI 82–92; group 2, n = 179), low-risk group (GNRI 92–98; group 3, n = 123), and no-risk group (GNRI > 98; group 4, n = 249). To minimize the confounding effects of sex, age, preexisting comorbidities, and injury severity of patients on outcome measurements, propensity score-matched patient cohorts were created to assess the impact of patients being in different nutritional risk groups on the in-hospital mortality outcomes against the no-risk group. Results: The patients in groups 1–3 were significantly older and presented a significantly lower body mass index and lower serum albumin levels than those in group 4. Compared with patients in group 4 (3.6%), a significantly higher mortality rate was found in the patients in group 1 (17.3%, p < 0.001), but not in those in group 2 (6.7%) or group 3 (2.4%). The study of propensity score-matched patient cohorts provided similar results; group 1 patients had significantly higher odds of mortality than group 4 patients (odds ratio, 6.3; 95% confidence interval, 1.34–29.37; p = 0.009), but there were no significant differences in mortality risks among patients in groups 2 and 3 compared with those in group 4. Conclusions: This preliminary study suggested that the GNRI may be used as a screening tool to identify patients with malnutrition at a high risk of mortality among elderly patients with femoral fractures. A prospective study is needed to validate the suggestion.

Background: Foreign body ingestion is a scenario occasionally encountered in the emergency room. Pediatric and psychiatric patients are the two most common populations suffering from accidental or in some cases intentional ingestion of foreign bodies. Commonly, majority of cases require no specific treatment and the swallowed objects pass through the digestive tract spontaneously without causing any significant complications. Less than 1% of the cases complicates with gastrointestinal tract perforation, which are often caused by sharp objects, which warrants surgical intervention. The average time from foreign body ingestion to development of perforation was noted at 10.4 days in previous reports. These cases often present in rapidly progressing peritonitis and are subsequently managed by emergent laparotomy. In this case report, we describe an accidental chopstick ingestion of a patient who initially was misdiagnosed and remained asymptomatic for nine months, then presented with acute abdomen. Case presentation: A 27-year-old man accidentally ingested a wooden chopstick and sought consult at a clinic. Negative abdominal plain film misled the physician to believe ingested chopstick was digested into fragments and passed out unnoticed. The patient presented acute abdomen caused by duodenal perforation nine months later and was subsequently treated with emergency laparotomy with primary duodenorrhaphy. Conclusions: Negative plain films are not sufficient to conclude a conservative treatment in foreign body ingestion. Computed tomography scan or endoscopic examinations should be done to rule out retained foreign body within gastrointestinal tract.

Background: Identification of malnutrition is especially important in severely injured patients, in whom hypermetabolism and protein catabolism following traumatic injury worsen their nutritional condition. The geriatric nutritional risk index (GNRI), based on serum albumin level and the current body weight/ideal body weight ratio, is useful for identifying patients with malnutrition in many clinical conditions. This study aimed to explore the association between admission GNRI and mortality outcomes of adult patients with polytrauma. Methods: From 1 January 2009 to 31 December 2019, a total of 348 adult patients with polytrauma, registered in the trauma database of a level I trauma center, were recognized and categorized into groups of death (n = 71) or survival (n = 277) and into four nutritional risk groups: a high-risk group (GNRI < 82, n = 87), a moderate-risk group (GNRI 82 to 98, n = 58). Univariate and multivariate logistic regression analyses were used to identify the independent risk factors for mortality. The mortality outcomes of patients at various nutritional risks were compared to those of patients in the no-risk group. Results: The comparison between the death group (n = 71) and the survival group (n = 277) revealed that there was no significant difference in gender predominance, age, pre-existing comorbidities, injury mechanism, systolic blood pressure, and respiratory rate upon arrival at the emergency room. A significantly lower GNRI and Glasgow Coma Scale score but higher injury severity score (ISS) was observed in the death group than in the survival group. Multivariate logistic regression analysis revealed that Glasgow Coma Scale (GCS), odds ratio (OR), 0.88; 95% confidence interval (CI), 0.83–0.95; p < 0.001), ISS (OR, 1.07; 95% CI, 1.04–1.11; p < 0.001), and GNRI (OR, 0.94; 95% CI, 0.91–0.97; p < 0.001) were significant independent risk factors for mortality in these patients. The mortality rates for the high-risk, moderate-risk, low-risk, and no-risk groups were 34.5%, 20.1%, 8.5%, and 12.1%, respectively. Unlike patients in the moderate-risk and low-risk groups, patients in the high-risk group had a significantly higher death rate than that of those in the no-risk group. Conclusions: This study revealed that the GNRI may serve as a simple, promising screening tool to identify the high risk of malnutrition for mortality in adult patients with polytrauma.

Background: Existing prognostic scoring systems for intensive care unit (ICU) trauma patients require extensive data collection. The Geriatric Trauma Outcome Score (GTOS), which is based on age, injury severity, and transfusion need, has been validated for predicting mortality in elderly patients with trauma; however, its utility in the general ICU trauma population remains unexplored. Methods: This retrospective study included 2952 adult ICU trauma patients admitted between 2016 and 2021. The GTOS was calculated as follows: age + (Injury Severity Score × 2.5) + 22 (if transfused within 24 h). The area under the receiver operating characteristic curve (AUROC) was used to assess GTOS’s ability to predict mortality. The optimal GTOS cutoff was determined using Youden’s index. Mortality rates were compared between the high and low GTOS groups, including a propensity score-matched analysis adjusted for baseline characteristics. Results: This study included 2952 ICU trauma patients, with an overall mortality rate of 11.0% (n = 325). GTOS demonstrated good predictive accuracy for mortality (AUROC 0.80). The optimal cutoff was 121.8 (sensitivity, 0.791; specificity, 0.685). Despite adjustments, patients with GTOS ≥ 121.8 had significantly higher mortality (17.4% vs. 6.2%, p < 0.001) and longer hospital stays (20.3 vs. 15.3 days, p < 0.001) compared to GTOS < 121.8. Conclusions: GTOS showed a reasonable ability to predict mortality in ICU trauma patients across all ages, although not as accurately as more complex ICU-specific models. With its simplicity, the GTOS may serve as a rapid screening tool for risk stratification in acute ICU trauma settings when combined with other data.