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Daxi, Taiwan

Tseng C.H.,China Medical University at Taichung | Muo C.H.,China Medical University at Taichung | Lin M.C.,hou University | Kao C.H.,China Medical University at Taichung
Medicine (United States) | Year: 2016

This study examines whether pelvic inflammatory disease (PID) facilitates the development of intracerebral hemorrhage (ICH). By using outpatient claims data from the National Health Insurance Research Database (NHIRD) of Taiwan, we included the data of 25,508 patients who were newly diagnosed with PID between 1999 and 2004, and also from the Taiwan NHIRD, we randomly selected 102,032 women without PID, who were frequency-matched by age and entryyear and with 4 times the number of the PID patients, as the control cohort. We measured ICH risks associated with PID and comorbidities, including hyperlipidemia, diabetes, hypertension, ischemic heart disease, and atrial fibrillation, by the end of 2011. In comparison with the controls, the ICH hazard was less in the PID group with an adjusted hazard ratio (aHR) of 0.67 (95% confidence interval [CI]:0.50-0.90), which was noted by calculation with the Cox proportional regression model. The ICH risk in the PID patients reduced progressively with the advance of age, with aHRs of 0.75 (95% CI:0.41-1.39) and 0.50 (95% CI:0.29-0.88), respectively, in the age<35-year and age 50-year groups. ICH risk lowered gradually with the progress of PID severity, from mild PID with an aHR of 0.72 (95% CI:0.53-0.98) to severe PID with that of 0.30 (95% CI:0.10-0.92). PID patients without any comorbidites had lower ICH risk (aHR1/40.63, 95% CI:0.42-0.94) than the controls without any comorbidites did. Our findings revealed that PID is associated with reduced ICH development, especially for older patients. © 2016 Wolters Kluwer Health, Inc. Source

Tang W.-H.,Kaohsiung Medical University | Wang C.-P.,I - Shou University | Chung F.-M.,I - Shou University | Huang L.L.H.,National Cheng Kung University | And 8 more authors.
PLoS ONE | Year: 2015

Total mortality and sudden cardiac death is highly prevalent in patients with chronic kidney disease (CKD). In CKD patients, the protein-bound uremic retention solute indoxyl sulfate (IS) is independently associated with cardiovascular disease. However, the underlying mechanisms of this association have yet to be elucidated. The relationship between IS and cardiac electrocardiographic parameters was investigated in a prospective observational study among early CKD patients. IS arrhythmogenic effect was evaluated by in vitro cardiomyocyte electrophysiological study and mathematical computer simulation. In a cohort of 100 early CKD patients, patients with corrected QT (QTc) prolongation had higher IS levels. Furthermore, serum IS level was independently associated with prolonged QTc interval. In vitro, the delay rectifier potassium current (IK) was found to be significantly decreased after the treatment of IS in a dose-dependent manner. The modulation of IS to the IK was through the regulation of the major potassium ion channel protein Kv 2.1 phosphorylation. In a computer simulation, the decrease of IK by IS could prolong the action potential duration (APD) and induce early afterdepolarization, which is known to be a trigger mechanism of lethal ventricular arrhythmias. In conclusion, serum IS level is independently associated with the prolonged QTc interval in early CKD patients. IS down-regulated IK channel protein phosphorylation and the IK current activity that in turn increased the cardiomyocyte APD and QTc interval in vitro and in the computer ORd model. These findings suggest that IS may play a role in the development of arrhythmogenesis in CKD patients. © 2015 Tang et al. Source

Yang C.-H.,National Kaohsiung University of Applied Sciences | Lin Y.-D.,National Kaohsiung University of Applied Sciences | Chiang Y.-C.,National Kaohsiung University of Applied Sciences | Chuang L.-Y.,hou University
PLoS ONE | Year: 2016

Background: CpG islands have been demonstrated to influence local chromatin structures and simplify the regulation of gene activity. However, the accurate and rapid determination of CpG islands for whole DNA sequences remains experimentally and computationally challenging. Methodology/Principal Findings: A novel procedure is proposed to detect CpG islands by combining clustering technology with the sliding-window method (PSO-based). Clustering technology is used to detect the locations of all possible CpG islands and process the data, thus effectively obviating the need for the extensive and unnecessary processing of DNA fragments, and thus improving the efficiency of sliding-window based particle swarm optimization (PSO) search. This proposed approach, named ClusterPSO, provides versatile and highly-sensitive detection of CpG islands in the human genome. In addition, the detection efficiency of ClusterPSO is compared with eight CpG island detection methods in the human genome. Comparison of the detection efficiency for the CpG islands in human genome, including sensitivity, specificity, accuracy, performance coefficient (PC), and correlation coefficient (CC), ClusterPSO revealed superior detection ability among all of the test methods. Moreover, the combination of clustering technology and PSO method can successfully overcome their respective drawbacks while maintaining their advantages. Thus, clustering technology could be hybridized with the optimization algorithm method to optimize CpG island detection. Conclusion/Significance: The prediction accuracy of ClusterPSO was quite high, indicating the combination of CpGcluster and PSO has several advantages over CpGcluster and PSO alone. In addition, ClusterPSO significantly reduced implementation time. © 2016 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Source

Li X.,hou University
ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings | Year: 2010

For avoiding the dependence of the validity of cl ustering on the space distribution of high dimensional sa mples of Fuzzy C2Means, a dynamic fuzzy clustering me thod based on artificial fish swarm algorithm was propo sed By introducing a fuzzy equivalence matrix to the sim ilar degree among samples, the high dimensional sample s were mapped to two dimensional planes. Then the Euc lidean distance of the samples was approximated to the f uzzy equivalence matrix gradually by using artificial fish warm algorithm to optimize the coordinate values. Final ly, the fuzzy clustering was obtained. The proposed meth od, not only avoided the dependence of the validity of clu stering on the space distribution of high dimensional sa mples, but also raised the clustering efficiency. Experime nt results show that it is an efficient clustering algorithm © 2010 IEEE. Source

Yang S.-Y.,Chi Mei Medical Center | Wu T.-H.,Chi Mei Medical Center | Wang M.-C.,Cancer Center | Chen F.-T.,Chi Mei Medical Center | Pan Y.-J.,hou University
Journal of Nursing and Healthcare Research | Year: 2015

Background: Poor quality of sleep is a common problem among female nurses due to the nature of nursing work. This situation may impact negatively on their physical and mental health and on their overall work performance. Purpose: This study was designed to explore the effect on the sleep quality of female nurses of sniffing essential lavender oil (lavender aromatherapy). Methods: This quasi‐experimental study was conducted at a regional hospital in southern Taiwan. A total of 100 qualified participants were randomly assigned to either the experimental group or the control group. The experimental group received lavender‐based aromatherapy for eight weeks (n = 48) and the control group received no intervention (n = 47). The main outcome indexes used the Pittsburgh Sleep Quality Index (PSQI) and heart rate variability (HRV). Results: After eight weeks of the Lavender‐Based Aromatherapy intervention, the differences between the PSQI pretest and posttest scores were statistically significant (p = .005) for the experimental group and not statistically significant (p = .052) for the control group. Furthermore, the control group registered significant pretest/posttest differences in terms of blood pressure, hear rate, heart rate variability (HRV), high frequency (HF), low frequency (LF), and LF/HF (p < .001). The lavender‐based aromatherapy intervention effectively improved the sleep quality of experimental‐group participants. The present study demonstrated that lavender inhalation may have a persistent and short‐term effect on HRV with an increase in parasympathetic modulation that results in improved sleep quality in female nurses. Conclusions / Implications for Practice: The present study supports the efficacy of lavender‐based aromatherapy, a safe and convenient intervention, in improving the sleep quality of nurses. Improving the sleep quality of professional nurses is a priority issue due to their variable shift‐work schedules and critical role in ensuring the delivery of effective, high‐quality public healthcare. © 2015, (publisher). All rights reserved. Source

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