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Background: Previous studies have implicated inherited mutations in mitochondrial DNA (mtDNA) in sensorineural hearing loss (SNHL). However, the definitive association between mitochondrial 12S rRNA (MT-RNR1) variants and hearing loss in the population has not been well established, particularly in Asia. The objective of this retrospective cohort study was to assess the association between MT-RNR1 variants and the risk of SNHL in patients in Taiwan. Methods: The cohort included 306,068 participants from Taiwan between January 2003 and December 2020. Participants were classified based on genetic variants, particularly mitochondrial mutations (rs267606618, rs267606619, rs267606617). MT-RNR1 variant cases were matched 1:10 with non-mutant patients by age, gender, and visit year, excluding those with pre-existing hearing loss. The primary endpoint was SNHL, identified using specific ICD-TM codes with a 90% positive predictive value. Medication exposure history was determined via self-report or electronic medical records in the hospital. Cox proportional hazard regression models were used to assess the association between MT-RNR1 variants and hearing loss, adjusting for various covariates. Kaplan-Meier survival curves and log-rank tests compared hearing loss incidence between groups. Results: The mean age of the mtDNA variants group is 32.4 years, with a standard deviation of 19.2 years. The incidence density of hearing loss for the mutation group was 36.42 per 10,000 person-years (95% Confidence Interval [CI], 27.21–47.73), which was higher than the 23.77per 10,000 person-years (95% CI, 21.32–26.42) in the wild-type group (p = 0.0036). Additionally, diabetes mellitus was associated with an increased risk of developing SNHL in individuals with MT-RNR1 variants (adjusted hazard ratio = 1.76 [95% CI, 1.00-3.09], p < 0.05). Conclusion: This study highlights the increased risk of hearing loss in patients carrying MT-RNR1 variants, particularly those with diabetes mellitus. Future research that integrates genetic and clinical data is crucial for developing more precise interventions to monitor and treat hearing loss in this vulnerable population. [ABSTRACT FROM AUTHOR]

The Taiwan Adverse Drug Reaction Reporting System for Herbal Medicine (TADRRS-HM) has systematically documented suspected adverse events from adverse drug reaction (ADR) reports from 1998 (prior to its formal establishment in 2001) and evaluates safety profiles of herbal medicines. This article describes findings from 2079 ADR reports filed between 1998 and 2016: 941 reports involved single herbs and 87 involved folk herbals; 842 were generated from clinical trials, while 209 ADR reports involving foods, health foods, dietary supplement foods and herbal cuisine were grouped as Other. Severity assessments using the Modified Hartwig and Siegel scale classified 72.4% of ADRs as mild, 17.4% as moderate and 6.5% as severe. System Organ Class classification of the ADRs identified gastrointestinal system disorders as the most common (33.4%), followed by skin and subcutaneous tissue disorders (21.2%). The TADRRS-HM records indicate that herbal medicines may cause a wide range of ADRs. Aconiti Radix, Xiao-Qing-Long-Tang, and Datura suaveolens were the most commonly reported single herb, herbal formula, and folk herbal, respectively. The data indicate that herbal medicines may cause a wide range of ADRs. This system will confer long-term benefits for the development of Taiwan's herbal medicines adverse reaction database and facilitate epidemiological analysis. [ABSTRACT FROM AUTHOR]

The role of allopurinol usage in colorectal cancer (CRC) has no definite conclusion. The aim of this study was to explore the correlation between allopurinol usage and CRC risk in Taiwan. Using the National Health Insurance Database, we conducted a case‐control study of cases who were ≥20 years old and had newly diagnosed CRC for the period from 2000 to 2013. The controls were matched to cases by age, sex, index year, comorbidities, and socioeconomic status using propensity scores. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were measured by the conditional logistic regression model. We examined 4372 cases and 4372 matched controls. A statistically significant correlation was noted between allopurinol usage and CRC risk (OR, 0.79; 95%CI, 0.69‐0.90). We used the cumulative‐defined daily doses (cDDDs) in a further subgroup analysis, the ORs decreased from tertile 1 (T1; low dose, <12 cDDDs), T2 (medium dose, 12 to 88.5 cDDDs), to T3 (high dose, >88.5 cDDDs). These values were 0.85 (95%CI, 0.69‐1.06), 0.77 (95%CI, 0.62‐0.95), to 0.76 (95%CI, 0.61‐0.94). The results indicated a dose‐response relationship between allopurinol usage and CRC risk (P for trend <.001). We thus inferred that patients with medium and high doses of allopurinol (≥12 cDDDs) had a statistically significantly decreased CRC risk. [ABSTRACT FROM AUTHOR]

Background: Issuing of correct prescriptions is a foundation of patient safety. Medication errors represent one of the most important problems in health care, with 'look-alike and sound-alike' (LASA) being the lead error. Existing solutions to prevent LASA still have their limitations. Deep learning techniques have revolutionized identification classifiers in many fields. In search of better image-based solutions for blister package identification problem, this study using a baseline deep learning drug identification (DLDI) aims to understand how identification confusion of look-alike images by human occurs through the cognitive counterpart of deep learning solutions and thereof to suggest further solutions to approach them.Methods: We collected images of 250 types of blister-packaged drug from the Out-Patient Department (OPD) of a medical center for identification. The deep learning framework of You Only Look Once (YOLO) was adopted for implementation of the proposed deep learning. The commonly-used F1 score, defined by precision and recall for large numbers of identification tests, was used as the performance criterion. This study trained and compared the proposed models based on images of either the front-side or back-side of blister-packaged drugs.Results: Our results showed that the total training time for the front-side model and back-side model was 5 h 34 min and 7 h 42 min, respectively. The F1 score of the back-side model (95.99%) was better than that of the front-side model (93.72%).Conclusions: In conclusion, this study constructed a deep learning-based model for blister-packaged drug identification, with an accuracy greater than 90%. This model outperformed identification using conventional computer vision solutions, and could assist pharmacists in identifying drugs while preventing medication errors caused by look-alike blister packages. By integration into existing prescription systems in hospitals, the results of this study indicated that using this model, drugs dispensed could be verified in order to achieve automated prescription and dispensing. [ABSTRACT FROM AUTHOR]

The aim of this study was to assess a possible correlation between zolpidem use and acute pyelonephritis (APN) in women in Taiwan. Therefore, we performed a case-control study involving the Taiwan's National Health Insurance Research Database between 2000 and 2011. This study included 3151 female participants aged 20 to 84 years who experienced the first bout of APN (case group) and 6015 randomly selected female participants without APN (control group). Zolpidem use was defined as 'current,' 'early,' or 'late,' if the last remaining 1 tablet for zolpidem was detected within 7 days, between 8 and 14 days, or ≥15 days before the date of APN diagnosis, respectively. The multivariable unconditional logistic regression model was used to calculate the odds ratios (ORs) with 95% confidence intervals (CIs) to assess the correlation between zolpidem use and APN. After adjusting for confounders, the multivariable analysis yielded an adjusted APN OR of 2.2 for participants with current zolpidem use (95%CI 1.7-2.8) compared with participants who never used zolpidem. The adjusted ORs gradually decreased to 1.4 for participants with early zolpidem use (95%CI 0.8-2.5) and 1.1 for participants with late zolpidem use (95%CI 0.9-1.2), but without statistical significance. Only patients with current zolpidem use had a significantly increased relative risk of APN. Additional large confirmatory studies are needed to illustrate a causal relationship. Meanwhile, physicians and pharmacists should be more cautious about the risk of APN when prescribing and dispensing zolpidem in women. [ABSTRACT FROM AUTHOR]

The claim between hypertension and dementia needs more evidence due to limited data. We aim to examine the risk of dementia in patients with hypertension, and determine whether the use of antihypertensive medications (AHMs) could decrease the incidence of dementia diagnosed following the onset of hypertension. We employed the Taiwan National Health Insurance Research Database from 2000 to 2016 and performed a retrospective cohort study. We also carried out a case-control study to see if AHMs could reduce the incidence of newly diagnosed dementia in hypertensive patients. In the retrospective cohort study, we selected 587,762 participants with age and gender matched in experimental and control groups. The hypertension group had significantly higher adjusted hazard ratios (aHRs) of getting newly diagnosed dementia, including all-cause dementia, Alzheimer's disease, and vascular dementia (aHR, 2.86; 95 % confidence interval (CI), 2.74-2.99) than the control group. Three kinds of specific AHMs, namely, angiotensin II receptor blockers (aHR, 0.55; 95 % CI, 0.53-0.57), calcium channel blockers (aHR, 0.76; 95 % CI, 0.73-0.80), and diuretics (aHR,0.93; 95 % CI, 0.89-0.97) could significantly decrease the incidence of getting newly diagnosed dementia. Also, the application of traditional Chinese medicine (TCM) significantly associates with the lower aHRs of newly diagnosed dementia in hypertensive patients compared to patients without TCM (aHR, 0.90; 95 % CI, 0.81-1.00). Hypertension may be a significant risk factor for dementia. Both AHMs and TCM significantly associate with the lower incidence of newly diagnosed dementia in hypertensive patients., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Antihypertensive drugs have been linked to new-onset diabetes (NOD); however, data on the effect of these drugs on the development of NOD in hypertensive patients has not been well determined in a clinical setting. The aim was to investigate the association between antihypertensive drugs and NOD in Taiwan. We conducted a retrospective study of hypertensive Taiwanese patients receiving antihypertensive drugs treatment between January 2006 and December 2011. Clinical information and laboratory parameters were collected by reviewing the medical records. We estimated the odds ratios (ORs) of NOD associated with antihypertensive drug use; nondiabetic subjects served as the reference group. A total of 120 NOD cases were identified in 1001 hypertensive patients during the study period. The risk of NOD after adjusting sex, age, baseline characteristics, and lipid profiles was higher among users of thiazide diuretics (OR, 1.65; 95% confidence interval (CI), 1.12-2.45) and nondihydropyridine (non-DHP) calcium channel blockers (CCBs) (OR, 1.96; 95% CI, 1.01-3.75) than among nonusers. Other antihypertensive drug classes were not associated with risk of NOD. Our results show that patients with hypertension who take thiazide diuretics and non-DHP CCBs are at higher risk of developing NOD than those who take other classes of antihypertensive drugs in Taiwan.