Validation of the Saga Fall Injury Risk Model.

Background: Predicting fall injuries can mitigate the sequelae of falls and potentially utilize medical resources effectively. This study aimed to externally validate the accuracy of the Saga Fall Injury Risk Model (SFIRM), consisting of six factors including age, sex, emergency transport, medical referral letter, Bedriddenness Rank, and history of falls, assessed upon admission. Methods: This was a two-center, prospective, observational study. We included inpatients aged 20 years or older in two hospitals, an acute and a chronic care hospital, from October 2018 to September 2019. The predictive performance of the model was evaluated by calculating the area under the curve (AUC), 95% confidence interval (CI), and shrinkage coefficient of the entire study population. The minimum sample size of this study was 2,235 cases. Results: A total of 3,549 patients, with a median age of 78 years, were included in the analysis, and men accounted for 47.9% of all the patients. Among these, 35 (0.99%) had fall injuries. The performance of the SFIRM, as measured by the AUC, was 0.721 (95% CI: 0.662-0.781). The observed fall incidence closely aligned with the predicted incidence calculated using the SFIRM, with a shrinkage coefficient of 0.867. Conclusions: The external validation of the SFIRM in this two-center, prospective study showed good discrimination and calibration. This model can be easily applied upon admission and is valuable for fall injury prediction.

Potential Indicators of Intestinal Necrosis in Portal Venous Gas: A Case Report of an 82-Year-Old Woman on Long-Term Hemodialysis with Ascites and Pneumatosis Coli.

BACKGROUND Several factors have been reported as possible predictors of intestinal necrosis in patients with portal venous gas (PVG). We describe potential indicators of intestinal necrosis in PVG identified by contrasting 3 episodes of PVG in a patient on hemodialysis against previously verified factors. CASE REPORT An 82-year-old woman undergoing hemodialysis was admitted to our hospital thrice for acute abdominal pain. On first admission, she was alert, with a body temperature of 36.3°C, blood pressure (BP) of 125/53 mmHg, pulse rate of 60/min, respiratory rate of 18/min, and 100% oxygen saturation on room air. Computed tomography (CT) revealed PVG, intestinal distension, poor bowel wall enhancement, bubble-like pneumatosis in the intestinal wall, and minimal ascites. PVG caused by intestinal ischemia was diagnosed, and she recovered after bowel rest and hydration. Three months later, she had a second episode of abdominal pain. BP was 115/56 mmHg. CT revealed PVG and a slight accumulation of ascites, without pneumatosis in the intestinal wall. She again recovered after conservative measures. Ten months later, the patient experienced a third episode of abdominal pain, with BP of 107/52 mmHg. CT imaging indicated PVG, considerable ascites, and linear pneumatosis of the intestinal walls. Despite receiving conservative treatment, the patient died. CONCLUSIONS A large accumulation of ascites and linear pneumatosis in the intestinal walls could be potential indicators of intestinal necrosis in patients with PVG caused by intestinal ischemia. As previously reported, hypotension was further confirmed to be a reliable predictor of intestinal necrosis.

Correction: New predictive models for falls among inpatients using public ADL scale in Japan: A retrospective observational study of 7,858 patients in acute care setting.

[This corrects the article DOI: 10.1371/journal.pone.0236130.].

The Administration of Lemborexant at Admission is Not Associated with Inpatient Falls: A Multicenter Retrospective Observational Study.

Purpose: There has been no large-scale investigation into the association between the use of lemborexant, suvorexant, and ramelteon and falls in a large population. This study, serving as a pilot investigation, was aimed at examining the relationship between inpatient falls and various prescribed hypnotic medications at admission. Patients and Methods: This study was a sub-analysis of a multicenter retrospective observational study conducted over a period of 3 years. The target population comprised patients aged 20 years or above admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals. We extracted data on the types of hypnotic medications prescribed at admission, including lemborexant, suvorexant, ramelteon, benzodiazepines, Z-drugs, and other hypnotics; the occurrence of inpatient falls during the hospital stay; and patients' background information. To determine the outcome of inpatient falls, items with low collinearity were selected and included as covariates in a forced-entry binary logistic regression analysis. Results: Overall, 150,278 patients were included in the analysis, among whom 3,458 experienced falls. The median age of the entire cohort was 70 years, with men constituting 53.1%. Binary logistic regression analysis revealed that the prescription of lemborexant, suvorexant, and ramelteon at admission was not significantly associated with inpatient falls. Conclusion: The administration of lemborexant, suvorexant, and ramelteon at admission may not be associated with inpatient falls.

Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study.

Purpose: We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adjust the coefficients to improve the accuracy of SFRM2 and validate it. Patients and Methods: This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. Results: Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678-0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731-0.758). Conclusion: SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.