A novel electronic health record-based, machine-learning model to predict severe hypoglycemia leading to hospitalizations in older adults with diabetes: A territory-wide cohort and modeling study.

BACKGROUND: Older adults with diabetes are at high risk of severe hypoglycemia (SH). Many machine-learning (ML) models predict short-term hypoglycemia are not specific for older adults and show poor precision-recall. We aimed to develop a multidimensional, electronic health record (EHR)-based ML model to predict one-year risk of SH requiring hospitalization in older adults with diabetes. METHODS AND FINDINGS: We adopted a case-control design for a retrospective territory-wide cohort of 1,456,618 records from 364,863 unique older adults (age ≥65 years) with diabetes and at least 1 Hong Kong Hospital Authority attendance from 2013 to 2018. We used 258 predictors including demographics, admissions, diagnoses, medications, and routine laboratory tests in a one-year period to predict SH events requiring hospitalization in the following 12 months. The cohort was randomly split into training, testing, and internal validation sets in a 7:2:1 ratio. Six ML algorithms were evaluated including logistic-regression, random forest, gradient boost machine, deep neural network (DNN), XGBoost, and Rulefit. We tested our model in a temporal validation cohort in the Hong Kong Diabetes Register with predictors defined in 2018 and outcome events defined in 2019. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC) statistics, and positive predictive value (PPV). We identified 11,128 SH events requiring hospitalization during the observation periods. The XGBoost model yielded the best performance (AUROC = 0.978 [95% CI 0.972 to 0.984]; AUPRC = 0.670 [95% CI 0.652 to 0.688]; PPV = 0.721 [95% CI 0.703 to 0.739]). This was superior to an 11-variable conventional logistic-regression model comprised of age, sex, history of SH, hypertension, blood glucose, kidney function measurements, and use of oral glucose-lowering drugs (GLDs) (AUROC = 0.906; AUPRC = 0.085; PPV = 0.468). Top impactful predictors included non-use of lipid-regulating drugs, in-patient admission, urgent emergency triage, insulin use, and history of SH. External validation in the HKDR cohort yielded AUROC of 0.856 [95% CI 0.838 to 0.873]. Main limitations of this study included limited transportability of the model and lack of geographically independent validation. CONCLUSIONS: Our novel-ML model demonstrated good discrimination and high precision in predicting one-year risk of SH requiring hospitalization. This may be integrated into EHR decision support systems for preemptive intervention in older adults at highest risk.

Trends in all-cause and cause-specific mortality in older adults with and without diabetes: A territory-wide analysis in one million older adults in Hong Kong.

AIMS: Direct comparisons of population-level trends in all-cause and cause-specific mortalities among older adults with and without diabetes are lacking. METHODS: We performed a territory-wide analysis of 1,142,000 unique older adults aged ≥ 65 years (31.7 % with diabetes) with at least one attendance in the Hong Kong Hospital Authority in 2014-2018. We used Joinpoint regression to describe trends of age- and sex-standardised all-cause and cause-specific mortalities (cardiovascular disease [CVD], cancer, and non-CVD and non-cancer) in older adults with and without diabetes. RESULTS: All-cause mortality decreased in older adults with (average annual percent change [AAPC] = -1.6, 95 % confidence interval [-2.7, -0.4]) and without (AAPC = -3.1 [-4.2, -2.1]) diabetes. Largest declines were seen for CVD-cause mortalities for people with and without diabetes (AAPC = -5.5 [-6.8, -4.1] vs AAPC = -5.8 [-8.6, -2.9], respectively). Cancer-cause mortalities were similar in both groups with no change. Men with diabetes showed less favourable improvements. An increasing mortality trend was seen only in the 65-69 age-group regardless of diabetes status. CONCLUSIONS: Mortality continued to decline in older adults with and without diabetes, mainly driven by a decline in CVD deaths, with no narrowing of the mortality gap. Our findings call for continued actions to address excess mortalities especially in older men with diabetes and younger older adults.

A case of simvastatin-induced myopathy with SLCO1B1 genetic predisposition and co-ingestion of linagliptin and Stevia rebaudiana.

WHAT IS KNOWN AND OBJECTIVE: SLCO1B1 T521>C variant carriers are susceptible to simvastatin-induced myopathy. We report a patient who developed rhabdomyolysis possibly triggered by a drug-drug and/or herb-drug interaction. CASE DESCRIPTION: A 69-year-old man presented with myalgia and weakness progressing to severe rhabdomyolysis. He had been taking 40 mg simvastatin daily for 10 years and recently consumed supplements, including Stevia rebaudiana and linagliptin. Genotyping revealed he carried one copy of SLCO1B1 T521>C and two copies of ABCG2 C421>A. WHAT IS NEW AND CONCLUSION: Despite apparent long-term safe administration, co-ingestion of simvastatin and other CYP3A4 inhibitors may result in severe myopathy in those at increased genetic risk.

Mixed isopropanol-methanol intoxication following ingestion of alcohol-based hand rub solution
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Traditionally, ingestion of alcohol-based hand rub solution results in isopropanol poisoning, which has a low toxicity. We describe a case of combined methanol and isopropanol intoxication by ingestion of alcohol-based hand rub solution. Metabolic acidosis was absent in our patient, presumably because formic acid production is blocked by isopropanol, which inhibits alcohol dehydrogenase. Our case highlights the importance of considering methanol intoxication in patients who ingested alcohol-based hand rub solution, even when there is no metabolic acidosis, and timely removal of the toxic alcohols by dialysis in these patients would prevent permanent retinal damage.
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Pharmacokinetic properties of single-dose lamivudine/adefovir dipivoxil fixed-dose combination in healthy Chinese male volunteers.

BACKGROUND: Both lamivudine and adefovir dipivoxil are approved for the treatment of chronic hepatitis B (CHB) and have established safety profiles. A fixed-dose combination (FDC) formulation of lamivudine/adefovir dipivoxil for the treatment of CHB may provide dosing convenience and improve adherence. OBJECTIVE: This study compared the pharmacokinetic profiles of an FDC capsule containing lamivudine/adefovir dipivoxil 100/10 mg and conventional lamivudine 100-mg + adefovir dipivoxil 10-mg tablets to determine bioequivalence. METHODS: This randomized, open-label, single-dose, 2-period crossover study was conducted in healthy male Chinese subjects. The study included a screening visit, 2 treatment sessions, and a follow-up visit. Subjects who met the inclusion/exclusion criteria were assigned to receive, in randomized order, 1 FDC capsule or 1 tablet each of lamivudine and adefovir dipivoxil. After a 7- to 10-day washout period, alternate treatment was given to the subjects during the second treatment session. Blood samples were collected immediately before and after dosing for 48 hours for plasma drug concentration measurement. Data on adverse events (AEs) were collected from the start of dosing until the follow-up visit. Tolerability assessments included physical examinations with vital sign measurements and clinical laboratory evaluations throughout the study. RESULTS: Forty subjects were enrolled into the study (mean age, 22.4 years [range, 19-28 years]; weight, 63.8 kg [range, 54-78 kg]). The pharmacokinetic profiles of lamivudine and adefovir were similar between the FDC and reference formulations. The geometric mean ratios (GMRs) for lamivudine C(max) and AUC(0-last) were 1.02 (90% CI, 0.92-1.12) and 0.99 (90% CI, 0.95-1.04), respectively; adefovir, 0.94 (90% CI, 0.89-0.99) and 0.95 (90% CI, 0.91-1.00). A limited number of mild AEs were reported, with no clinically significant changes in vital signs or laboratory results. CONCLUSIONS: The FDC capsule was bioequivalent to the concurrent administration of lamivudine + adefovir dipivoxil tablets based on the 90% CIs of the GMRs for C(max), AUC(0-∞), AUC(0-last), and t12 (all were between 0.80 and 1.25). Both treatments were well-tolerated.