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Objectives: Little is known about the 1-year short-term mortality rate following hospital admissions with severe hypoglycemia. This study aimed to determine the factors associated with increased 1-year mortality rate following hospitalization in diabetes patients admitted with severe hypoglycemia to the Singapore General Hospital.Methods: Clinical, biochemical, and 1-year mortality data from diabetes patients who were admitted with severe hypoglycemia in the year 2014 were extracted from institutional medical records. Patients who passed away during the episode of admissions with severe hypoglycemia were excluded from the analysis. The clinical and biochemical factors between patients who survived and those who did not survive within 1 year following admission were compared using logistic regression analysis.Results: Three hundred and four patients (181 female and 123 male) were admitted with severe hypoglycemia in 2014, and the mean capillary blood glucose on admission was 2.3 ± 0.7 mmol/L. Sixty-three (20.7%) patients died within 1-year post-discharge from the hospital. Compared with patients who survived 1-year post-discharge from the hospital, non-survivors were older (69.3 ± 11.0 vs 75.5 ± 11.2 years, p < .001), had longer lengths of stay (LOS) (5.0 ± 7.4 vs 9.0 ± 12.8 days, p = .02), and had a higher Charlson Comorbidity Index (CCI) (4.1 ± 1.9 vs 5.9 ± 2.4, p < .001). Factors associated with increased 1-year mortality risk were age (odds ratio [OR] = 1.06; 95% confidence interval [CI] = 1.03-1.09, p < .01), LOS in hospital (OR = 1.01; 95% CI = 1.01-1.08, p < .01), and CCI (OR = 1.51; 95% CI = 1.31-1.75, p < .01), respectively.Conclusions: Older diabetes patients with more comorbidities and longer LOS were at increased risk of dying within a year of discharge after hospitalization with severe hypoglycemia. Admission with severe hypoglycemia has important prognostic implications. Healthcare professionals should address hypoglycemia and other health issues during the hospital admissions. [ABSTRACT FROM AUTHOR]

Background: The clinical management of type 2 diabetes mellitus (T2DM) presents a significant challenge due to the constantly evolving clinical practice guidelines and growing array of drug classes available. Evidence suggests that artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) have proven to be effective in assisting clinicians with informed decision-making. Despite the merits of AI-driven CDSSs, a significant research gap exists concerning the early-stage implementation and adoption of AI-enabled CDSSs in T2DM management., Objective: This study aimed to explore the perspectives of clinicians on the use and impact of the AI-enabled Prescription Advisory (APA) tool, developed using a multi-institution diabetes registry and implemented in specialist endocrinology clinics, and the challenges to its adoption and application., Methods: We conducted focus group discussions using a semistructured interview guide with purposively selected endocrinologists from a tertiary hospital. The focus group discussions were audio-recorded and transcribed verbatim. Data were thematically analyzed., Results: A total of 13 clinicians participated in 4 focus group discussions. Our findings suggest that the APA tool offered several useful features to assist clinicians in effectively managing T2DM. Specifically, clinicians viewed the AI-generated medication alterations as a good knowledge resource in supporting the clinician's decision-making on drug modifications at the point of care, particularly for patients with comorbidities. The complication risk prediction was seen as positively impacting patient care by facilitating early doctor-patient communication and initiating prompt clinical responses. However, the interpretability of the risk scores, concerns about overreliance and automation bias, and issues surrounding accountability and liability hindered the adoption of the APA tool in clinical practice., Conclusions: Although the APA tool holds great potential as a valuable resource for improving patient care, further efforts are required to address clinicians' concerns and improve the tool's acceptance and applicability in relevant contexts., (©Sungwon Yoon, Hendra Goh, Phong Ching Lee, Hong Chang Tan, Ming Ming Teh, Dawn Shao Ting Lim, Ann Kwee, Chandran Suresh, David Carmody, Du Soon Swee, Sarah Ying Tse Tan, Andy Jun-Wei Wong, Charlotte Hui-Min Choo, Zongwen Wee, Yong Mong Bee. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 13.06.2024.)

Objectives: Little is known about the 1-year short-term mortality rate following hospital admissions with severe hypoglycemia. This study aimed to determine the factors associated with increased 1-year mortality rate following hospitalization in diabetes patients admitted with severe hypoglycemia to the Singapore General Hospital., Methods: Clinical, biochemical, and 1-year mortality data from diabetes patients who were admitted with severe hypoglycemia in the year 2014 were extracted from institutional medical records. Patients who passed away during the episode of admissions with severe hypoglycemia were excluded from the analysis. The clinical and biochemical factors between patients who survived and those who did not survive within 1 year following admission were compared using logistic regression analysis., Results: Three hundred and four patients (181 female and 123 male) were admitted with severe hypoglycemia in 2014, and the mean capillary blood glucose on admission was 2.3 ± 0.7 mmol/L. Sixty-three (20.7%) patients died within 1-year post-discharge from the hospital. Compared with patients who survived 1-year post-discharge from the hospital, non-survivors were older (69.3 ± 11.0 vs 75.5 ± 11.2 years, p < .001), had longer lengths of stay (LOS) (5.0 ± 7.4 vs 9.0 ± 12.8 days, p = .02), and had a higher Charlson Comorbidity Index (CCI) (4.1 ± 1.9 vs 5.9 ± 2.4, p < .001). Factors associated with increased 1-year mortality risk were age (odds ratio [OR] = 1.06; 95% confidence interval [CI] = 1.03-1.09, p < .01), LOS in hospital (OR = 1.01; 95% CI = 1.01-1.08, p < .01), and CCI (OR = 1.51; 95% CI = 1.31-1.75, p < .01), respectively., Conclusions: Older diabetes patients with more comorbidities and longer LOS were at increased risk of dying within a year of discharge after hospitalization with severe hypoglycemia. Admission with severe hypoglycemia has important prognostic implications. Healthcare professionals should address hypoglycemia and other health issues during the hospital admissions.