Yu-Ting Huang

Yu-Ting Huang

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 November 2019 in Nutrients
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WSWEI-YU SU
WEI-YU SU
SCSzu-Chia Chen
Szu-Chia Chen
YHYu-Ting Huang
Yu-Ting Huang
JHJiun-Chi Huang
Jiun-Chi Huang
PWPei-Yu Wu
Pei-Yu Wu
Mei Yueh LeeMei Yueh Lee
Mei Yueh Lee
The triglyceride–glucose (TyG) index has been correlated with insulin resistance. We aim to investigate the role of the TyG index on cardiovascular (CV) events in type 2 diabetes mellitus and compare the roles of fasting glucose, hemoglobin A1c, and the TyG index in predicting CV events. This retrospective study enrolled 3524 patients with type 2 diabetes from the Kaohsiung Medical University Research Database in 2009 in this longitudinal study and followed them until 2015. The TyG index was calculated as log (fasting triglyceride level (mg/dL) × fasting glucose level (mg/dL)/2). CV events included myocardial infarction, unstable angina, stroke, hospitalization for coronary artery disease, peripheral artery disease, and CV-related death. The association between variables and CV events was assessed using a multivariable stepwise Cox proportional hazard analysis. Two hundred and fifteen CV events (6.1%) were recorded during a follow-up period of 5.93 years. The multivariable stepwise analysis showed that high fasting glucose (HR, 1.007; p < 0.001) and a high TyG index (HR, 1.521; p = 0.004) but not hemoglobin A1c or triglycerides were associated with a higher rate of CV events. Adding fasting glucose and the TyG index to the basic model improved the predictive ability of progression to a CV event (p < 0.001 and p = 0.018, respectively), over that of hemoglobin A1c (p = 0.084) and triglyceride (p = 0.221). Fasting glucose and the TyG index are useful parameters and stronger predictive factors than hemoglobin A1c and triglyceride for CV events and may offer an additional prognostic benefit in patients with type 2 diabetes.

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KHKai-Fang Hu
Kai-Fang Hu
SLszu-wei Lin
szu-wei Lin
Ying-Chu LinYing-Chu Lin
Ying-Chu Lin
Mei-Chi ChangMei-Chi Chang
Mei-Chi Chang
YHYu-Ting Huang
Yu-Ting Huang
YCYu-Hsiang Chou
Yu-Hsiang Chou
The aim of this study was to use a cone-beam computed tomography (CBCT) to assess changes in alveolar bone width around dental implants at native and reconstructed bone sites before and after implant surgery. A total of 99 implant sites from 54 patients with at least two CBCT scans before and after implant surgery during 2010–2019 were assessed in this study. Demographic data, dental treatments and CBCT scans were collected. Horizontal alveolar bone widths around implants at three levels (subcrestal width 1 mm (CW1), subcrestal width 4 mm (CW4), and subcrestal width 7 mm (CW7)) were measured. A p-value of < 0.05 indicated statistically significant differences. The initial bone widths (mean ± standard deviation (SD)) at CW1, CW4, and CW7 were 6.98 ± 2.24, 9.97 ± 2.64, and 11.33 ± 3.00 mm, respectively, and the postsurgery widths were 6.83 ± 2.02, 9.58 ± 2.55, and 11.19 ± 2.90 mm, respectively. The change in bone width was 0.15 ± 1.74 mm at CW1, 0.39 ± 1.12 mm at CW4 (p = 0.0008), and 0.14 ± 1.05 mm at CW7. A statistically significant change in bone width was observed at only the CW4 level. Compared with those at the native bone sites, the changes in bone width around implants at reconstructed sites did not differ significantly. A significant alveolar bone width resorption was found only at the middle third on CBCT scans. No significant changes in bone width around implants were detected between native and reconstructed bone sites.

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GCGuan-Yu Chen
Guan-Yu Chen
ZWZhi-Fu Wu
Zhi-Fu Wu
YLYi-Ting Lin
Yi-Ting Lin
KCKuang-I Cheng
Kuang-I Cheng
YHYu-Ting Huang
Yu-Ting Huang
Chung-Yi LiChung-Yi Li
Chung-Yi Li
In the population of individuals with a disability, mental illness patients can be uncooperative during dental treatment; thus, general anesthesia has been widely applied during dental procedures. This study aims to investigate the association between general anesthesia and the outcomes of root canal treatment in patients with disability. Teeth treatment records of patients with disability from Kaohsiung Medical University Hospital Research Database and electronic database from January 2005 to December 2018 were used in this retrospective cohort study. The authors conducted analysis comparing root canal treatment outcomes under general anesthesia and non-general anesthesia, indicated by endodontic re-treatment or post-treatment teeth extraction. Over the 9-year follow-up period, root canal treatment outcomes representing a cumulative survival rate of 87.68% and 74.51% in the general anesthesia group and non-general anesthesia group, respectively, were found. After adjustment for potential confounders, the teeth with general anesthesia showed a substantially and significantly reduced HR of root canal treatment failure at 0.24 (95% confidence interval, 0.12 to 0.49). Our study supported the notion that root canal treatment with general anesthesia may entail substantial reduction of treatment failure in patients with disability.

29 November 2023 in Journal of Clinical Medicine
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CCChia Wei Chang
Chia Wei Chang
YSYa-Wen Sung
Ya-Wen Sung
YHYu-Ting Huang
Yu-Ting Huang
YCYong-Chuan CHUNG
Yong-Chuan CHUNG
MLMei-Yueh Lee
Mei-Yueh Lee
Background: Ankle-brachial index (ABI) is a simple method for diagnosing peripheral artery disease (PAD) but has limited reliability in patients with diabetes mellitus (DM) because of medial artery calcification. Our study aims to investigate whether the toe brachial index (TBI) or the cardio-ankle vascular index (CAVI) has a better detection over the ABI for diagnosing PAD in diabetic kidney disease (DKD). Materials and Methods: A cohort of 368 patients (mean age 68.59 ± 13.14 years, 190 males and 178 females) with type 2 DM underwent ABI, TBI, and CAVI measurements at our outpatient clinic. Results: Of all enrolled patients, the TBI is significant in evaluating PAD, especially in patients whose chronic kidney disease (CKD) stage 3a with adjusted odds ratio (AOR) = 6.50, 95% confidence interval (CI) 1.63–25.97, p = 0.0080, stage 3b AOR = 7.47, 95% CI 1.52–36.81, p = 0.0135, and stage 4–5 AOR = 20.13, 95% CI 1.34–94.24, p = 0.0116. CAVI is also significant in CKD stage 1 with AOR = 0.16, 95% CI 0.03–0.77, p = 0.0223, stage 2 with AOR = 0.18, 95% CI 0.04–0.74, p = 0.0180, and stage 3a AOR = 0.31, 95% CI 0.10–0.93, p = 0.0375. Conclusion: TBI has a better yield of detection of PAD compared to ABI among Taiwanese patients with DKD. CAVI may play a role in the early stage of DKD.

6 August 2021 in Healthcare
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WHWei Hao Hsu
Wei Hao Hsu
CTChin-Wei Tseng
Chin-Wei Tseng
YHYu-Ting Huang
Yu-Ting Huang
CLChing-Chao Liang
Ching-Chao Liang
Mei Yueh LeeMei Yueh Lee
Mei Yueh Lee
SCSzu-Chia Chen
Szu-Chia Chen
Prediabetes should be viewed as an increased risk for diabetes and cardiovascular disease. In this study, we investigated its prevalence among the relatives and spouses of patients with type 2 diabetes or risk factors for prediabetes, insulin resistance, and β-cell function. A total of 175 individuals were included and stratified into three groups: controls, and relatives and spouses of type 2 diabetic patients. We compared clinical characteristics consisting of a homeostatic model assessment for insulin resistance (HOMA-IR) and beta cell function (HOMA-β), a quantitative insulin sensitivity check index (QUICKI), and triglyceride glucose (TyG) index. After a multivariable linear regression analysis, the relative group was independently correlated with high fasting glucose, a high TyG index, and low β-cell function; the relatives and spouses were independently associated with a low QUICKI. The relatives and spouses equally had a higher prevalence of prediabetes. These study also indicated that the relatives had multiple factors predicting the development of diabetes mellitus, and that the spouses may share a number of common environmental factors associated with low insulin sensitivity.

15 April 2021 in European Archives of Psychiatry and Clinical Neuroscience
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CHChun-Jen Huang
Chun-Jen Huang
TLTai-Ling Liu
Tai-Ling Liu
YHYu-Ting Huang
Yu-Ting Huang
HHHui-Min Hsieh
Hui-Min Hsieh
CCChih-Cheng Chang
Chih-Cheng Chang
SWShih-Feng Weng
Shih-Feng Weng