Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

Introduction: Repaglinide, a meglitinide analogue, has a rapid onset and short duration of action. It offers prandial glucose control while reducing hypoglycemia risk compared to sulfonylureas. We describe its use in our special cohorts of diabetic patients where repaglinide was prescribed to reduce hypoglycemia in vulnerable patients or to optimize glycemic control through pharmacotherapy intensification or deintensification. Cases: Cohort A comprised 12 elderly patients with multiple comorbidities (mean age: 70.3 years; mean DM duration: 18.3 years) characterized by high glucose variability and problematic hypoglycemia. In seven patients, low-dose gliclazide was replaced with repaglinide with reduction in hypoglycemic episodes. One patient on low-dose premixed insulin was successfully switched to preprandial repaglinide. Two patients on basal insulin were able to reduce their insulin requirements and stabilize their glucose levels. A younger patient with autonomic dysfunction had hypoglycemia while on insulin glulisine, while its omission led to severe hyperglycemia. Substituting glulisine with repaglinide resolved the glucose variability. Repaglinide effectively reduced hypoglycemic episodes while maintaining glycemic stability, with a mean hemoglobin A1c (HbA1c) reduction of 0.36% over 3–6 months. Cohort B consisted of six younger patients (mean age: 35.3 years) with focus on optimizing HbA1c and improving treatment adherence. Two patients on basal-bolus regimes success-fully transitioned off bolus insulin to repaglinide, significantly improving compliance. One patient on basal insulin was successfully transitioned to an all-oral regimen. Three patients on existing oral hypoglycemic agents were started on repaglinide to close the glycemic gap. Cohort B achieved a robust mean HbA1c reduction of 2.1% within 3–6 months. Conclusion Repaglinide remains an important armamentarium in personalized diabetes management. Its pharmacokinetics and flexible dosing allow intensification of glycemic control while minimizing the risk of hypoglycemia. It also offers a viable strategy for selected patients struggling with complex insulin regime.
Repaglinide

Introduction: Ectopic ACTH secretion (EAS) is a rare cause of Cushing’s syndrome, accounting for 5–15% of cases. Pulmonary neuroendocrine tumors are the most frequent cause. However, primary tumor localization remains a significant diagnostic challenge, delaying effective treatment. Case: A 59-year-old female with diabetes mellitus presented with refractory hypertension and hypokalemia. Initial laboratory findings revealed a baseline cortisol of 1,164 nmol/L and morning adrenocorticotropic hormone (ACTH) of 19.5 pmol/L (normal <10.2 pmol/L), with an overnight dexamethasone suppression test cortisol of 624 nmol/L. Pituitary magnetic resonance imaging (MRI) and computed tomography (CT) scans of the thorax, abdomen, and pelvis were initially unremarkable. A PET scan identified mild hypermetabolism in the left adrenal gland and gastrointestinal tract, though colonoscopy revealed only chronic colitis. An intravenous desmopressin stimulation test demonstrated a 181% rise in ACTH and a 35% rise in cortisol, pointing toward pituitary Cushing’s. However, repeat pituitary MRI remained normal. A high-dose dexamethasone suppression test showed approximately 34% cortisol suppression (cortisol 1,128 nmol/L to 745 nmol/L), suggesting ectopic Cushing’s syndrome. Bilateral inferior petrosal sinus sampling demonstrated a peak central-to-peripheral ACTH ratio of 1.8 on the right and 1.6 on the left, pointing toward ectopic Cushing’s. Localization with DOTATATE PET-CT identified a 7 × 9 × 8 mm nodule in the right middle lobe. A wedge resection was performed. Histopathology confirmed a typical carcinoid tumor with clear resection margins. Immunohistochemistry revealed tumor cells positive for CK AE1/ AE3, synaptophysin, chromogranin, and INSM-1, with weak positivity for ACTH. The latest 8 am cortisol was 117 nmol/L and ACTH 1.74 pmol/L, confirming biochemical cure. Hypokalemia resolved, with improvement in her metabolic profile. Conclusion This case highlights the diagnostic complexities of EAS, particularly when initial imaging is inconclusive and biochemical tests yield conflicting results. Timely, precise localization of the causative tumor is crucial for successful surgical intervention and to prevent severe complications of hypercortisolism, thereby improving patient outcomes.
ACTH Syndrome, Ectopic

INTRODUCTION: We aimed to understand the awareness and attitudes of elderly Southeast Asians towards telehealth services during the coronavirus disease 2019 (COVID-19) pandemic in this study. METHODS: In this qualitative study, 78 individuals from Singapore (51.3% female, mean age 73.0 ± 7.6 years) were interviewed via telephone between 13 May 2020 and 9 June 2020 during Singapore's first COVID-19 'circuit breaker'. Participants were asked to describe their understanding of telehealth, their experience of and willingness to utilise these services, and the barriers and facilitators underlying their decision. Transcripts were analysed using thematic analysis, guided by the United Theory of Acceptance Use of Technology framework. RESULTS: Of the 78 participants, 24 (30.8%) were able to describe the range of telehealth services available and 15 (19.2%) had previously utilised these services. Conversely, 14 (17.9%) participants thought that telehealth comprised solely home medication delivery and 50 (51.3%) participants did not know about telehealth. Despite the advantages offered by telehealth services, participants preferred in-person consultations due to a perceived lack of human interaction and accuracy of diagnoses, poor digital literacy and a lack of access to telehealth-capable devices. CONCLUSION Our results showed poor overall awareness of the range of telehealth services available among elderly Asian individuals, with many harbouring erroneous views regarding their use. These data suggest that public health education campaigns are needed to improve awareness of and correct negative perceptions towards telehealth services in elderly Asians.
Humans ; COVID-19/epidemiology* ; Female ; Telemedicine ; Aged ; Male ; Singapore/epidemiology* ; Qualitative Research ; Health Knowledge, Attitudes, Practice ; SARS-CoV-2 ; Aged, 80 and over ; Middle Aged ; Pandemics ; Awareness ; Asian People ; Southeast Asian People

Background/Aims: The performance of machine learning (ML) in predicting the outcomes of patients with hepatocellular carcinoma (HCC) remains uncertain. We aimed to develop risk scores using conventional methods and ML to categorize early-stage HCC patients into distinct prognostic groups. Methods: The study retrospectively enrolled 1,411 consecutive treatment-naïve patients with the Barcelona Clinic Liver Cancer (BCLC) stage 0 to A HCC from 2012 to 2021. The patients were randomly divided into a training cohort (n=988) and validation cohort (n=423). Two risk scores (CATS-IF and CATS-INF) were developed to predict overall survival (OS) in the training cohort using the conventional methods (Cox proportional hazards model) and ML-based methods (LASSO Cox regression), respectively. They were then validated and compared in the validation cohort. Results: In the training cohort, factors for the CATS-IF score were selected by the conventional method, including age, curative treatment, single large HCC, serum creatinine and alpha-fetoprotein levels, fibrosis-4 score, lymphocyte-tomonocyte ratio, and albumin-bilirubin grade. The CATS-INF score, determined by ML-based methods, included the above factors and two additional ones (aspartate aminotransferase and prognostic nutritional index). In the validation cohort, both CATS-IF score and CATS-INF score outperformed other modern prognostic scores in predicting OS, with the CATSINF score having the lowest Akaike information criterion value. A calibration plot exhibited good correlation between predicted and observed outcomes for both scores. Conclusions Both the conventional Cox-based CATS-IF score and ML-based CATS-INF score effectively stratified patients with early-stage HCC into distinct prognostic groups, with the CATS-INF score showing slightly superior performance.

AIM To study the chemical constituents from the leaves of Cyanocarya paliurus(Batalin)Iljinskaja and their α-glucosidase inhibitory activities.METHODS The 95%ethanol extract from the leaves of C.paliurus was isolated and purified by macroporous resin,silica gel,Sephadex LH-20,polyamide,C18 reversed-phase silica gel and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their α-glucosidase inhibitory activities were evaluated by PNPG.RESULTS Fifteen compounds were isolated and identified as cyclopaloside C(1),cyclopaloside A(2),juglanosides E(3),vaccinin A(4),ent-murin A(5),kaempferol 3-O-α-L-rhamnopyranoside(6),kaempferol-3-O-β-D-glucopyranoside(7),kaempferol-3-O-β-D-glucuronide methyl ester(8),kaempferol-3-O-β-D-glucuronide ethyl ester(9),kaempferol-3-O-β-D-glucuronide butyl ester(10),quercetin-3-O-α-L-rhamnopyranoside(11)quercetin-3-O-β-D-glucopyranoside(12),quercetin-3-O-β-D-galactopyranoside(13),quercetin-3-O-β-D-glucuronide butyl ester(14),dihydrokaempferol(15).The IC50 value of total extracts ihibited α-glucosidase was(1.83±0.04)μg/mL,and the IC50 values of compounds 1,4-5 were(29.48±1.86),(0.50±0.07),(0.71±0.07)μmol/L,respectively.CONCLUSION Compound 1 is a new tetrahydronaphthalene glycoside.Compounds 4-5,8-10 and 14 are isolated from the leaves of C.paliurus for the first time.Compounds 4-5 are relatively rare flavonoid lignans with potential inhibitory activities against α-glucosidase.

Objective To investigate the effects and mechanisms of TAR DNA-binding protein 43(TDP-43)on oxygen-glucose deprivation(OGD)-induced apoptosis in mouse atrial myocytes(HL-1 cells).Methods The in vitro cultured mouse atrial myocytes(HL-1 cells)were divided into:(1)control group and groups with different OGD treatment times(2,4,8,16 h),and cell viability was detected by CCK-8 assay,and TDP-43 protein expression level was detected by Western blotting,which was used to determine the time point of OGD induction for the subsequent study;(2)control and OGD groups,flow cytometry was used to detect apoptosis,JC-1 staining to detect mitochondrial membrane potential,chemiluminescence to detect adenosine triphosphate(ATP)relative content,microplate method to detect malondialdehyde(MDA)content,and WST-1 method to detect superoxide dismutase(SOD)content.Mouse atrial myocytes(HL-1 cells)transfected with lentivirus were divided into:(1)negative control lentiviral intervention group(NC-shRNA),TDP-43 knockdown lentiviral intervention group(TDP-43-shRNA1,TDP-43-shRNA2,TDP-43-shRNA3),and Western blotting was used to detect the TDP-43 protein expression level,and the group with the highest lentiviral knockdown efficiency was selected as the TDP-43-shRNA for subsequent experiments;(2)NC-shRNA group,TDP-43-shRNA group,OGD+NC-shRNA group,OGD+TDP-43-shRNA group,under normoxic and OGD conditions,flow cytometry was used to detect the apoptosis rate,MitoTracker staining to detect mitochondrial morphology,JC-1 staining to detect mitochondrial membrane potential,chemiluminescence to detect the relative content of ATP,flow cytometry to detect the fluorescence intensity of reactive oxygen species(ROS),microplate to detect the content of MDA,and WST-1 to detect the content of SOD.Results CCK-8 method showed that,with the prolongation of OGD time,the viability of mouse atrial myocytes(HL-1 cells)gradually decreased;Western blotting assay showed that the expression level of TDP-43 protein gradually increased,and both of them showed a strong time-dependence.Compared with control group,mouse atrial myocytes(HL-1 cells)viability was the lowest(P<0.05)and TDP-43 protein expression was the highest(P<0.05)at 16 h of OGD,accordingly,OGD 16 h was chosen as the induction time point for subsequent experiments.Compared with control group,the apoptosis rate,the fluorescence intensity ratio of mitochondrial membrane potential and the content of MDA increased,the relative content of ATP and SOD decreased in OGD group,and the differences were all statistically significant(P<0.05).Western blotting detection showed that compared with NC-shRNA group,the TDP-43-shRNA2 group had the most obvious reduction in TDP-43 protein expression level(P<0.05)and the highest knockdown efficiency,so the TDP-43-shRNA2 group was selected for subsequent experiments.The results of flow cytometry showed that under normoxic conditions,there was no significant change in the apoptosis rate in TDP-43-shRNA group compared with NC-shRNA group(P>0.05);and under OGD conditions,the apoptosis rate in OGD+TDP-43-shRNA group reduced when compared with OGD+NC-shRNA group(P<0.05).MitoTracker staining results showed that the mitochondrial morphology of TDP-43-shRNA group was intact without significant changes compared with NC-shRNA group;the mitochondria of OGD+NC-shRNA group increased in number,most of which were fragmented and scattered in distribution;compared with OGD+NC-shRNA group,the mitochondrial morphology of OGD+TDP-43-shRNA group was restored.Under normoxic conditions,there were no significant changes in mitochondrial membrane potential,relative ATP content,ROS fluorescence intensity,MDA content,and SOD content in TDP-43-shRNA group compared with NC-shRNA group(P>0.05);however,under OGD conditions,the ratio of fluorescence intensity of mitochondrial membrane potential of cells the fluorescence intensity of ROS,and the content of MDA decreased,and the relative content of ATP and the content of SOD increased in OGD+TDP-43-shRNA group compared with that of OGD+NC-shRNA group,and all of these differences was statistically significant(P<0.05).Conclusion TDP-43 exacerbates OGD-induced mitochondrial dysfunction by regulating cardiomyocyte apoptosis;therefore,knockdown of TDP-43 expression is expected to be a potential therapeutic strategy for ischemic cardiomyopathy.

Objective: To evaluate the recognition of acute respiratory infection (ARI) by a pretrained model based on electronic medical records (EMRs). Methods: 38 581 EMRs were obtained from Chongqing University Three Gorges Hospital in December 2021. Bidirectional encoder representation from transformers (BERT) pretrained model was used to identify ARI in EMRs. The results of medical professionals were considered as the gold standard to calculate the sensitivity, specificity, Kappa value, and area under the curve of the receiver operating characteristic (AUC). Results: There were 3 817 EMRs in the test set, with 1 200 ARIs. A total of 1 205 cases were determined as ARI by the model, with a sensitivity of 92.67% (1 112/1 200) and a specificity of 96.45% (2 524/2 617). The model identified ARI with similar accuracy in males and females (AUCs 0.95 and 0.94, respectively), and was more accurate in identifying ARI cases in those aged less than 18 than in adults 18-59 and adults 60 and older (AUCs 0.94, 0.89 and 0.94, respectively). The current model had a better identification of ARIs in outpatient patients than that in hospitalized patients, with AUCs of 0.74 and 0.95, respectively. Conclusion: The use of the BERT pretrained model based on EMRs has a good performance in the recognition of ARI cases, especially for the outpatients and juveniles. It shows a great potential to be applied to the monitoring of ARI cases in medical institutions.
Adult ; Male ; Female ; Humans ; Electronic Health Records ; Respiratory Tract Infections/diagnosis* ; Outpatients

Endoscopy ; Humans ; Retrospective Studies ; Trachea ; Tracheal Stenosis/surgery* ; Tracheostomy/adverse effects*