Rare Acute Kidney Injury Secondary to Hypothyroidism-Induced Rhabdomyolysis

Ying Cai,Lin Tang 연세대학교의과대학 2013 Yonsei medical journal Vol.54 No.1

Purpose: Acute kidney injury (AKI) caused by hypothyroidism-induced rhabdomyolysis is a rare and potentially life-threatening syndrome. The aim of this study was to investigate the clinical characteristics of such patients. Materials and Methods: We retrospectively analyzed five patients treated at the Second Affiliated Hospital of Chongqing Medical University with AKI secondary to hypothyroidism-induced rhabdomyolysis from January 2006 to December 2010. Results: Of the five cases reviewed (4 males, age range of 37 to 62 years), adult primary hypothyroidism was caused by amiodarone (1 case), chronic autoimmune thyroiditis (1 case), and by uncertain etiologies (3 cases). All patients presented with facial and lower extremity edema. Three patients presented with weakness, while two presented with blunted facies and oliguria. Only one patient reported experiencing myalgia and proximal muscle weakness, in addition to fatigue and chills. Creatine kinase, lactate dehydrogenase, and renal function normalized after thyroid hormone replacement, except in two patients who improved through blood purification. Conclusion: Hypothyroidism should be considered in patients presenting with renal impairment associated with rhabdomyolysis. Moreover, further investigation into the etiology of the hypothyroidism is warranted.

Reexamination of Estimating Beta Coecient as a Risk Measure in CAPM

Phuoc, Le Tan,Kim, Kee S.,Su, Yingcai Korea Distribution Science Association 2018 The Journal of Asian Finance, Economics and Busine Vol.5 No.1

This research examines the alternative ways of estimating the coefficient of non-diversifiable risk, namely beta coefficient, in Capital Asset Pricing Model (CAPM) introduced by Sharpe (1964) that is an essential element of assessing the value of diverse assets. The non-parametric methods used in this research are the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator). The Jackknife, the resampling technique, is also employed to validate the results. According to finance literature and common practices, these coecients have often been estimated using Ordinary Least Square (LS) regression method and monthly return data set. The empirical results of this research pointed out that the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) performed much better than Ordinary Least Square (LS) in terms of eciency for large-cap stocks trading actively in the United States markets. Interestingly, the empirical results also showed that daily return data would give more accurate estimation than monthly return data in both Ordinary Least Square (LS) and robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) regressions.

Reexamination of Estimating Beta Coefficient as a Risk Measure in CAPM

Le Tan Phuoc,Kee S. Kim,Yingcai Su 한국유통과학회 2018 The Journal of Asian Finance, Economics and Busine Vol.5 No.1

This research examines the alternative ways of estimating the coefficient of non-diversifiable risk, namely beta coefficient, in Capital Asset Pricing Model (CAPM) introduced by Sharpe (1964) that is an essential element of assessing the value of diverse assets. The nonparametric methods used in this research are the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MMestimator). The Jackknife, the resampling technique, is also employed to validate the results. According to finance literature and common practices, these coecients have often been estimated using Ordinary Least Square (LS) regression method and monthly return data set. The empirical results of this research pointed out that the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) performed much better than Ordinary Least Square (LS) in terms of eciency for large-cap stocks trading actively in the United States markets. Interestingly, the empirical results also showed that daily return data would give more accurate estimation than monthly return data in both Ordinary Least Square (LS) and robust Least Trimmed Square (LTS) and Maximum likelihood type of Mestimator (MM-estimator) regressions.

Determination Method for Topology Configuration of Hybrid Cascaded H-Bridge Rectifiers

Yuan Zhuang,Cong Wang,Chang Wang,Hong Cheng,Yingcai Gong,Hao Wang 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.5

To reduce system complexity and implementation costs, fully-controlled H-bridge (FHB) modules and diode H-bridge PFC (DHB) modules are cascaded to form a hybrid cascaded H-bridge rectifier (HCHR). In this paper, the advantages of such a HCHR over other cascaded rectifiers are analyzed depending on the numbers of FHB modules and DHB modules. Therefore, to assign proper numbers to these two kinds of modules for the HCHR, a configuration determination method is investigated under balanced and imbalanced loads. Three principles are also presented to guide the configuration determination for the HCHR. In addition, the constraints for selecting the step-up ratio and filter inductance are derived based on a phasor diagram analysis. The proposed configuration determination method is validated by simulations under three different conditions in the PSIM environment. Finally, experiments are carried out on a scaled-down prototype where the configuration can be easily adjusted. The feasibility of the proposed theory is then verified by experimental results.

Determination Method for Topology Configuration of Hybrid Cascaded H-Bridge Rectifiers

Zhuang, Yuan,Wang, Cong,Wang, Chang,Cheng, Hong,Gong, Yingcai,Wang, Hao The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.5

To reduce system complexity and implementation costs, fully-controlled H-bridge (FHB) modules and diode H-bridge PFC (DHB) modules are cascaded to form a hybrid cascaded H-bridge rectifier (HCHR). In this paper, the advantages of such a HCHR over other cascaded rectifiers are analyzed depending on the numbers of FHB modules and DHB modules. Therefore, to assign proper numbers to these two kinds of modules for the HCHR, a configuration determination method is investigated under balanced and imbalanced loads. Three principles are also presented to guide the configuration determination for the HCHR. In addition, the constraints for selecting the step-up ratio and filter inductance are derived based on a phasor diagram analysis. The proposed configuration determination method is validated by simulations under three different conditions in the PSIM environment. Finally, experiments are carried out on a scaled-down prototype where the configuration can be easily adjusted. The feasibility of the proposed theory is then verified by experimental results.

An Integrated Nomogram Combining Clinical Factors and Microtubule-Associated Protein 1 Light Chain 3B Expression to Predict Postoperative Prognosis in Patients with Intrahepatic Cholangiocarcinoma

Liang Chen,Hongyuan Fu,Tongyu Lu,Jianye Cai,Wei Liu,Jia Yao,Jinliang Liang,Hui Zhao,Jiebin Zhang,Jun Zheng,Yingcai Zhang,Yang Yang 대한암학회 2020 Cancer Research and Treatment Vol.52 No.2

Purpose Microtubule-associated protein 1 light chain 3B (LC3B) serves as a key component of autophagy, which is associated with the progression of carcinoma. Yet, it is still unclear whether LC3B is also an independent risk factor for intrahepatic cholangiocarcinoma (ICC). We aim to explore the predictive value of LC3B on prognosis of ICC, and to establish a novel and available nomogram to predict relapse-free survival (RFS) and overall survival (OS) for these patients after curative-intent hepatectomy. Materials and Methods From August 2004 to March 2017, 105 ICC patients were eligibly enrolled in the Third Affiliated Hospital of Sun Yat-sen University. Preoperative clinical information of enrolled patients was collected. Expression LC3B in the ICC specimen was detected by immunohistochemistry. Results The 5-year RFS and OS in this cohort were 15.7% and 29.6%, respectively. On multivariate Cox regression analysis, independent risk factors for 5-year OS were cancer antigen 125, microvascular invasion, LC3B expression and lymph node metastasis. Except for the above 4 factors, neutrophil/lymphocyte ratio and tumor differentiation were independent factors for 5-year RFS. The area under the curve of nomograms for OS and RFS were 0.820 and 0.747, respectively. Conclusion The nomograms based on LC3B can be considered as effective models to predict postoperative survival for ICC patients.