Short-term effects of different doses of dexamethasone on fetal biophysical activities and Doppler flow velocity parameters: a randomized controlled trial substudy

开始日期2024-10-15

申办/合作机构

Navamindradhiraj University

[+1]

TCTR20240816009 / Active, not recruiting临床4期IIT

A Randomized Controlled Trials comparing of Deliberate Practice and Conventional Lecture for Enhancing Competency in Life-threatening Trauma Procedures Among Medical Students

开始日期2024-08-15

申办/合作机构

Navamindradhiraj University

NCT06165068 / Recruiting临床3期IIT

Effects of Antiplatelet and Antioxidant Agents on Drusen Progression: A Pilot, Prospective Cohort Study

The aim of this clinical trial is to evaluate the effect of low doses of antiplatelet medications (aspirin 81 mg/day or clopidogrel 75 mg/day) with or without a combination of antioxidants (N-acetylcysteine 600 mg/day) in a dry AMD patient with large drusen.
Participants will divided in to three groups.
Participants who were already taking low dose antiplatelet medications.
Participants who take the antiplatelet drug mentioned above in addition to the antioxidant prescribed by the investigator
Participants does not use any medications.

开始日期2023-12-01

申办/合作机构

Navamindradhiraj University

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0 项与 Navamindradhiraj University 相关的专利（医药）

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787

项与 Navamindradhiraj University 相关的文献（医药）

2025-01-01·Archives of academic emergency medicine

The Best ECG Lead for Predicting the Risk of Drug-Induced Torsade De Pointes Using Corrected QT Interval: A Comparative Prognostic Study.

Article

作者: Othong, Rittirak ; Raicharoen, Tharathorn ; Vassasunthorn, Suphaphorn

IntroductionTorsade de pointes (TdP) is a deadly complication from drug-induced QT prolongation. Each of the 12 lead of an electrocardiogram (ECG) has a different length of QT interval, and thus might have a different performance in TdP prediction. This study aimed to determine the best ECG lead or set of leads in this regard.MethodsThis is a comparative prognostic accuracy study using a two-gate data gathering design. The population in this study was from two sources, a case group (Patients who had drug-induced TdP, which were identified through a systematic Medline search) and a control group (those who overdosed on QT-prolonging drugs, which included patients who were under the consultation of Medical Toxicology Services). The areas under the receiver operating characteristic curve (AUROC) of heart rate-corrected QT (QTc) in each single ECG lead and of a mean/median QTc from a set of ECG leads (17 index test) in predicting the risk of TdP were calculated and compared with each other, trying to find the best lead for this propose. QTc Interval measurements were done by four investigators (Interrater reliabilities 0.95).ResultsFinally, we included 136 and 148 ECGs from TdP cases and controls, respectively. V3 lead had the highest frequency of longest QTc interval, among the leads. The lead having the longest QTc yielded the greatest AUROC in predicting TdP regardless of QT correction formulas (QTcFRA=0.9915, QTcRTH=0.9893, QTcBZT=0.9904). The mean QTc of 3 leads (lead II, plus any two of leads V2-V4), and a median QTc of 6 leads (I, II, aVF, V2, V4, V6) provided similar overall performance for TdP prediction (regardless of the type of QTc formula).ConclusionThe longest QTc provided the greatest AUROC in predicting drug-induced TdP, however, the longest QTc is not located in a fixed individual lead in any patient. A less time-consuming method with comparable performance to that of the longest QTc was to use a mean QTc from 3 leads (lead II, plus any two of leads V2-V4). The potential clinical impact of this finding needs to be verified in a prospective cohort study.

2024-12-31·Renal Failure

Comparison of citrate dialysate in pre- and post-dilution online hemodiafiltration: effect on clot formation and adequacy of dialysis in hemodialysis patients

Article

作者: Jitraree, Arisara ; Nakornchai, Pasu ; Laykhram, Thanachit ; Trakarnvanich, Thananda ; Homjan, Monpinya Charttong

BACKGROUNDCitrate dialysate (CD) has been successfully used in conventional hemodialysis and continuous renal replacement therapy; however, no study has compared pre- and post-dilution online hemodiafiltration (oL-HDF). Therefore, we aimed to investigate the efficacy of citrate anticoagulation for oL-HDF and the metabolic changes and quality of life of patients on hemodialysis treated using both modes.METHODEight dialysis patients were treated with CD containing 0.8 mmol of citric acid for 4 weeks in each phase. Visual clotting scores were investigated as the primary endpoints. Adequacy of dialysis, laboratory parameters, and quality of life were measured as secondary objectives.RESULTSThe mean clotting scores in the pre-dilution mode were significantly lower than those in the post-dilution mode and in all phases except the heparin-free phase (p < 0.001 in the baseline phase, p = 0.001 in phase 1, and p = 0.023 in phase 2). The values of Kt/V in both modalities were comparable except during the baseline phase, in which the values of pre-dilution were significantly greater than post-dilution (2.36 ± 0.52/week vs. 1.87 ± 0.33/week;95% CI -0.81 to -0.19, p = 0.002). The patient's quality of life regarding their physical activity level was significantly higher in the post-dilution mode than in the pre-dilution mode at baseline and in phase 1 (p = 0.014 and 0.004 at baseline and in phase 1, respectively). Metabolic changes did not differ between the two modes.CONCLUSIONCitrate dialysate decreased or prevented anticoagulation in both pre- and post-dilution modes of oL-HDF without significant side effects and had comparable adequacy of dialysis.

2024-12-01·Annals of Diagnostic Pathology

Comparing customized ChatGPT and pathology residents in histopathologic description and diagnosis of common diseases

Article

作者: Laohawetwanit, Thiyaphat ; Thinpanja, Warut ; Benjakul, Nontawat ; Damrongkiet, Khampee ; Apornvirat, Sompon

This study aimed to evaluate and analyze the performance of a customized Chat Generative Pre-Trained Transformer (ChatGPT), known as GPT, against pathology residents in providing microscopic descriptions and diagnosing diseases from histopathological images. A dataset of representative photomicrographs from 70 diseases across 14 organ systems was analyzed by a customized version of ChatGPT-4 (GPT-4) and pathology residents. Two pathologists independently evaluated the microscopic descriptions and diagnoses using a predefined scoring system (0-4 for microscopic descriptions and 0-2 for pathological diagnoses), with higher scores indicating greater accuracy. Microscopic descriptions that received perfect scores, which included all relevant keywords and findings, were then presented to the standard version of ChatGPT to assess its diagnostic capabilities based on these descriptions. GPT-4 showed consistency in microscopic description and diagnosis scores across five rounds, accomplishing median scores of 50 % and 48.6 %, respectively. However, its performance was still inferior to junior and senior pathology residents (73.9 % and 93.9 % description scores and 63.9 % and 87.9 % diagnosis scores, respectively). When analyzing classic ChatGPT's understanding of microscopic descriptions provided by residents, it correctly diagnosed 35 (87.5 %) of cases from junior residents and 44 (68.8 %) from senior residents, given that the initial descriptions consisted of keywords and relevant findings. While GPT-4 can accurately interpret some histopathological images, its overall performance is currently inferior to that of pathology residents. However, ChatGPT's ability to accurately interpret and diagnose diseases from the descriptions provided by residents suggests that this technology could serve as a valuable support tool in pathology diagnostics.

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