Exploration of the external and internal factors that affected learning effectiveness for the students: a questionnaire survey.

Learning effectiveness may be affected by internal and external factors, including personal attitude, motivations, learning skills, learning environment and peer pressure. This study sought to explore potential factors on students who majored in medical technology. The 106 students who completed their internship at Chang Gung Memorial Hospital were enrolled in this study. A written questionnaire was analyzed to explore the relationship between potential factors and learning effectiveness. The strength of relationship between the outcome and each factor was evaluated using Spearman correlation coefficients. A multiple linear regression model was constructed to assess how those factors affected learning effectiveness altogether. The results indicated that the learning effectiveness of the students mainly depended on three factors: the "extracurricular studies" and "willingness to cooperate" were positively associated with learning effectiveness. However, the "weakened motivation due to uncertainty" is negatively associated with learning effectiveness. We suggested that the educators can understand the uncertainty of students about the future. Additionally, the projects that require joint cooperation and discussion need to be given. The most important thing is that students should be able to integrate the learning content instead of rote.

Saliva protein biomarkers to detect oral squamous cell carcinoma in a high-risk population in Taiwan.

Most cases of oral squamous cell carcinoma (OSCC) develop from visible oral potentially malignant disorders (OPMDs). The latter exhibit heterogeneous subtypes with different transformation potentials, complicating the early detection of OSCC during routine visual oral cancer screenings. To develop clinically applicable biomarkers, we collected saliva samples from 96 healthy controls, 103 low-risk OPMDs, 130 high-risk OPMDs, and 131 OSCC subjects. These individuals were enrolled in Taiwan's Oral Cancer Screening Program. We identified 302 protein biomarkers reported in the literature and/or through in-house studies and prioritized 49 proteins for quantification in the saliva samples using multiple reaction monitoring-MS. Twenty-eight proteins were successfully quantified with high confidence. The quantification data from non-OSCC subjects (healthy controls + low-risk OPMDs) and OSCC subjects in the training set were subjected to classification and regression tree analyses, through which we generated a four-protein panel consisting of MMP1, KNG1, ANXA2, and HSPA5. A risk-score scheme was established, and the panel showed high sensitivity (87.5%) and specificity (80.5%) in the test set to distinguish OSCC samples from non-OSCC samples. The risk score >0.4 detected 84% (42/50) of the stage I OSCCs and a significant portion (42%) of the high-risk OPMDs. Moreover, among 88 high-risk OPMD patients with available follow-up results, 18 developed OSCC within 5 y; of them, 77.8% (14/18) had risk scores >0.4. Our four-protein panel may therefore offer a clinically effective tool for detecting OSCC and monitoring high-risk OPMDs through a readily available biofluid.

Association of Varicose Veins With Incident Venous Thromboembolism and Peripheral Artery Disease.

Importance: Varicose veins are common but rarely associated with serious health risks. Deep venous thrombosis (DVT), pulmonary embolism (PE), and peripheral artery disease (PAD) are also vascular diseases but associated with serious systemic effects. Little is known about the association between varicose veins and the incidence of other vascular diseases including DVT, PE, and PAD. Objective: To investigate whether varicose veins are associated with an increased risk of DVT, PE, or PAD. Design, Setting, and Participants: A retrospective cohort study using claims data from Taiwan's National Health Insurance program. Patients aged 20 years and older with varicose veins were enrolled from January 1, 2001-December 31, 2013, and a control group of patients without varicose veins were matched by propensity score. Patients previously diagnosed with DVT, PE, or PAD were excluded. Follow-up ended December 31, 2014. Exposures: Presence of varicose veins. Main Outcomes and Measures: Incidence rates of DVT, PE, and PAD were assessed in people with and without varicose veins. Cox proportional hazards models were used to estimate relative hazards, with the control group as reference. Results: There were 212 984 patients in the varicose veins group (mean [SD] age, 54.5 [16.0] years; 69.3% women) and 212 984 in the control group (mean [SD] age, 54.3 [15.6] years; 70.3% women). The median follow-up duration was 7.5 years for DVT, 7.8 years for PE, and 7.3 years for PAD for patients with varicose veins, and for the control group, follow-up duration was 7.6 years for DVT, 7.7 years for PE, and 7.4 years for PAD. The varicose veins group had higher incidence rates than the control group for DVT (6.55 vs 1.23 per 1000 person-years [10 360 vs 1980 cases]; absolute risk difference [ARD], 5.32 [95% CI, 5.18-5.46]), for PE (0.48 for the varicose veins group vs 0.28 for the control group per 1000 person-years [793 vs 451 cases]; ARD, 0.20 [95% CI, 0.16-0.24]), and for PAD (10.73 for the varicose veins group vs 6.22 for the control group per 1000 person-years [16 615 vs 9709 cases]; ARD, 4.51 [95% CI, 4.31-4.71]). The hazard ratios for the varicose veins group compared with the control group were 5.30 (95% CI, 5.05-5.56) for DVT, 1.73 (95% CI, 1.54-1.94) for PE, and 1.72 (95% CI, 1.68-1.77) for PAD. Conclusions and Relevance: Among adults diagnosed with varicose veins, there was a significantly increased risk of incident DVT; the findings for PE and PAD are less clear due to the potential for confounding. Whether the association between varicose veins and DVT is causal or represents a common set of risk factors requires further research.

Evaluation of the use of the fourth version FloTrac system in cardiac output measurement before and after cardiopulmonary bypass.

The FloTrac system is a system for cardiac output (CO) measurement that is less invasive than the pulmonary artery catheter (PAC). The purposes of this study were to (1) compare the level of agreement and trending abilities of CO values measured using the fourth version of the FloTrac system (CCO-FloTrac) and PAC-originated continuous thermodilution (CCO-PAC) and (2) analyze the inadequate CO-discriminating ability of the FloTrac system before and after cardiopulmonary bypass (CPB). Fifty patients were included. After exclusion, 32 patients undergoing cardiac surgery with CPB were analyzed. All patients were monitored with a PAC and radial artery catheter connected to the FloTrac system. CO was assessed at 10 timing points during the surgery. In the Bland-Altman analysis, the percentage errors (bias, the limits of agreement) of the CCO-FloTrac were 61.82% (0.16, - 2.15 to 2.47 L min) and 51.80% (0.48, - 1.97 to 2.94 L min) before and after CPB, respectively, compared with CCO-PAC. The concordance rates in the four-quadrant plot were 64.10 and 62.16% and the angular concordance rates (angular mean bias, the radial limits of agreement) in the polar-plot analysis were 30.00% (17.62°, - 70.69° to 105.93°) and 38.63% (- 10.04°, - 96.73° to 76.30°) before and after CPB, respectively. The area under the receiver operating characteristic curve for CCO-FloTrac was 0.56, 0.52, 0.52, and 0.72 for all, ≥ ± 5, ≥ ± 10, and ≥ ± 15% CO changes (ΔCO) of CCO-PAC before CPB, respectively, and 0.59, 0.55, 0.49, and 0.46 for all, ≥ ± 5, ≥ ± 10, and ≥ ± 15% ΔCO of CCO-PAC after CPB, respectively. When CO < 4 L/min was considered inadequate, the Cohen κ coefficient was 0.355 and 0.373 before and after CPB, respectively. The accuracy, trending ability, and inadequate CO-discriminating ability of the fourth version of the FloTrac system in CO monitoring are not statistically acceptable in cardiac surgery.

Acupuncture Therapy and Incidence of Depression After Stroke.

BACKGROUND AND PURPOSE: We investigated whether use of acupuncture within a 3-month poststroke period after hospital discharge is associated with reduced risk of depression. METHODS: This cohort study included 16 046 patients aged ≥18 years with an initial hospitalization for stroke during 2000 and 2012 in the claims database of a universal health insurance program. Patients who had received acupuncture therapies within 3 months of discharge were defined as acupuncture users (n=1714). All patients were followed up for incidence of depression until the end of 2013. We assessed the association between use of acupuncture and incidence of depression using Cox proportional hazards models in all subjects and in propensity score-matched samples consisting of 1714 pairs of users and nonusers. RESULTS: During the follow-up period, the incidence of depression per 1000 person-years was 11.1 and 9.7 in users and nonusers, respectively. Neither multivariable-adjusted Cox models (hazard ratio, 1.04; 95% confidence interval, 0.84-1.29) nor the propensity score-matching model (hazard ratio, 1.06; 95% confidence interval, 0.79-1.42) revealed an association between use of acupuncture and incidence of depression. CONCLUSIONS: In patients admitted to hospital for stroke, acupuncture therapy within 3 months after discharge was not associated with subsequent incidence of depression.

Recovery of pan-genotypic and genotype-specific amino acid alterations in chronic hepatitis C after viral clearance: transition at the crossroad of metabolism and immunity.

Recovery of amino acid (AA) metabolism and the associated clinical implications in chronic hepatitis C (CHC) patients with sustained virological response (SVR) following anti-hepatitis C virus (HCV) therapy remains elusive. A prospective cohort study was conducted on 222 CHC patients with SVR. Eighty-two age-matched male genotype 1 (G1) and G2 patients underwent paired serum metabolomics analyses with liquid chromatography-tandem mass spectrometry to examine AAs before and 24 weeks after anti-HCV therapy. Before anti-HCV therapy, G1 patients had a higher HCV RNA level than G2 patients. Twenty-four weeks post-therapy versus pre-therapy, repeated-measures ANOVA showed that the levels of alanine aminotransferase and most AAs decreased while those of lipids, glutamine and putrescine increased in CHC patients. The methionine sulfoxide/methionine ratio decreased, while the asymmetric dimethylarginine/arginine, glutamine/glutamate, citrulline/arginine, ornithine/arginine, kynurenine/tryptophan, tyrosine/phenylalanine and Fisher's ratios increased. Genotype-specific subgroup analyses showed that valine and serotonin/tyrosine increased in G1 and that kynurenine and tyrosine/phenylalanine increased and sarcosine decreased in G2 patients. Viral clearance in CHC patients pan-genotypically restored fuel utilization by decelerating the tricarboxylic acid cycle. Following improvement in liver function, the urea, nitric oxide, methionine, and polyamine cycles were accelerated. The cardiometabolic risk attenuated, but the augmented kynurenine pathway activity could increase the oncogenesis risk. The trends in neurotransmitter formation differed between G1 and G2 patients after SVR. Moreover, the HCV-suppressing effect of valine was evident in G1 patients; with the exception of prostate cancer, the oncogenesis risk increased, particularly in G2 patients, at least within 24 weeks post-anti-HCV therapy.

Sequential organ failure assessment score predicts mortality after coronary artery bypass grafting.

BACKGROUND: Mortality after coronary artery bypass grafting (CABG) is generally associated with underlying disease and surgical factors overlooked in preoperative prognostic models. Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE II) scores are widely used in intensive care units for outcome prediction. This study investigated the accuracy of these models in predicting mortality. METHODS: Between January 2010 and April 2013, 483 patients who underwent isolated CABG were enrolled. The clinical characteristics, outcomes, and prognostic model scores of the patients were collected. Discrimination was assessed using the area under the curve approach. RESULTS: Both SOFA and APACHE II scores were effective for predicting in-hospital mortality. Among the organ systems examined in the SOFA, the cardiac and renal systems were the strongest predictors of CABG mortality. Multivariate analysis identified only the SOFA score as being an independent risk factor for mortality. CONCLUSION: In summary, the SOFA score can be used to accurately identify mortality after isolated CABG.

Combination of Urinary Biomarkers Improves Early Detection of Acute Kidney Injury in Patients With Heart Failure.

BACKGROUND: Acute kidney injury (AKI) is associated with morality and repeated hospitalization, and is frequently encountered in patients with acute decompensated heart failure (ADHF). However, few effective tools exist for early AKI identification and risk stratification. METHODS AND RESULTS: This was a prospective observational study conducted in the coronary care unit (CCU) of a tertiary care university hospital. Patients with a diagnosis of ADHF and who were using diuretics were enrolled.Samples collected between December 2013 and February 2015 were tested for serum cystatin C (Cys-C), urinary neutrophil gelatinase-associated lipocalin, and kidney injury molecule-1 (KIM-1). Demographic, clinical, and laboratory data were evaluated. A total of 103 adult patients with a mean age of 68 years were investigated. AKI was diagnosed in 49 patients (47.6%). For predicting intrinsic AKI on the first day of CCU admission, a combination of Cys-C and urine KIM-1 yielded an excellent area under the receiver operating characteristic curve of 0.828, a sensitivity of 71.0%, and specificity of 43.0%, for an overall accuracy of 78%. CONCLUSIONS: In this study, we found that combinations of the biomarker (Cys-C and KIM-1) were an effective clinical model for predicting AKI in patients with ADHF. The biomarker was also useful for differentiating subclinical AKI in patients with ADHF.

Predicting Acute Kidney Injury Following Mitral Valve Repair.

BACKGROUND: Acute kidney injury (AKI) after cardiac surgery is associated with short-term and long-term adverse outcomes. Novel biomarkers have been identified for the early detection of AKI; however, examining these in every patient who undergoes cardiac surgery is prohibitively expensive. Society of Thoracic Surgeons (STS) and Age, Creatinine, and Ejection Fraction (ACEF) scores have been proven to predict mortality in bypass surgery. The aim of this study was to determine whether these scores can be used to predict AKI after mitral valve repair. MATERIALS AND METHODS: Between January 2010 and December 2013, 196 patients who underwent mitral valve repair were enrolled. The clinical characteristics, outcomes, and scores of prognostic models were collected. The primary outcome was postoperative AKI, defined using the Kidney Disease Improving Global Outcome 2012 clinical practice guidelines for AKI. RESULTS: A total of 76 patients (38.7%) developed postoperative AKI. The STS renal failure (AUROC: 0.797, P < .001) and ACEF scores (AUROC: 0.758, P < .001) are both satisfactory tools for predicting all AKI. The STS renal failure score exhibited superior accuracy compared with the ACEF score in predicting AKI stage 2 and 3. The overall accuracy of both scores was similar for all AKI and AKI stage 2 and 3 when the cut-off points of the STS renal failure and ACEF scores were 2.2 and 1.1, respectively. CONCLUSION: In conclusion, the STS renal failure score can be used to accurately predict stage 2 and 3 AKI after mitral valve repair. The ACEF score is a simple tool with satisfactory power in screening patients at risk of all AKI stages. Additional studies can aim to determine the clinical implications of combining preoperative risk stratification and novel biomarkers.

Predicting HLA genotypes using unphased and flanking single-nucleotide polymorphisms in Han Chinese population.

BACKGROUND: Genetic variation associated with human leukocyte antigen (HLA) genes has immunological functions and is associated with autoimmune diseases. To date, large-scale studies involving classical HLA genes have been limited by time-consuming and expensive HLA-typing technologies. To reduce these costs, single-nucleotide polymorphisms (SNPs) have been used to predict HLA-allele types. Although HLA allelic distributions differ among populations, most prediction model of HLA genes are based on Caucasian samples, with few reported studies involving non-Caucasians. RESULTS: Our sample consisted of 437 Han Chinese with Affymetrix 5.0 and Illumina 550 K SNPs, of whom 214 also had data on Affymetrix 6.0 SNPs. All individuals had HLA typings at a 4-digit resolution. Using these data, we have built prediction model of HLA genes that are specific for a Han Chinese population. To optimize our prediction model of HLA genes, we analyzed a number of critical parameters, including flanking-region size, genotyping platform, and imputation. Predictive accuracies generally increased both with sample size and SNP density. CONCLUSIONS: SNP data from the HapMap Project are about five times more dense than commercially available genotype chip data. Using chips to genotype our samples, however, only reduced the accuracy of our HLA predictions by only ~3%, while saving a great deal of time and expense. We demonstrated that classical HLA alleles can be predicted from SNP genotype data with a high level of accuracy (80.37% (HLA-B) ~95.79% (HLA-DQB1)) in a Han Chinese population. This finding offers new opportunities for researchers in obtaining HLA genotypes via prediction using their already existing chip datasets. Since the genetic variation structure (e.g. SNP, HLA, Linkage disequilibrium) is different between Han Chinese and Caucasians, and has strong impact in building prediction models for HLA genes, our findings emphasize the importance of building ethnic-specific models when analyzing human populations.

Serum 25-hydroxyvitamin D levels in relation to lung function and exhaled nitric oxide in children.

OBJECTIVE: To investigate the relationship of vitamin D status with lung function and fraction of exhaled nitric oxide (FeNO) in a population sample of children. STUDY DESIGN: A total of 1315 children aged 5-18 years were evaluated using serum 25-hydroxyvitamin D [25(OH)D] levels, spirometry, a single-breath online FeNO measurement, and questionnaires. RESULTS: After adjusting for confounders, the mean forced vital capacity was 53.4 mL (SE, 26.5 mL; P = .045), and the mean forced expiratory volume in 1 second was 48.2 mL (SE, 23.6 mL; P = .042) lower for children with insufficient serum 25(OH)D levels (20-29.9 ng/mL) compared with those with sufficient 25(OH)D levels (≥30 ng/mL). The mean difference between children with deficient (<20 ng/mL) and sufficient levels of serum 25(OH)D was 81.9 mL (SE, 26.7 mL; P = .002) for forced vital capacity and 55.2 mL (SE, 23.7 mL; P = .020) for forced expiratory volume in 1 second. There was no significant association between serum 25(OH)D levels and FeNO after adjusting for confounders. CONCLUSIONS: Our results demonstrate a significant relationship between insufficient serum vitamin D levels and worse lung function in children in the community with a suggested dose-response effect. Our findings also suggest that vitamin D status is not a significant determinant of FeNO in children in the general population.

Combined Plasma DHA-Containing Phosphatidylcholine PCaa C38:6 and Tetradecanoyl-Carnitine as an Early Biomarker for Assessing the Mortality Risk among Sarcopenic Patients.

The coming of the hyper-aged society in Taiwan prompts us to investigate the relationship between the metabolic status of sarcopenic patients and their most adverse outcome-death. We studied the association between any plasma metabolites and the risk for mortality among older Taiwanese sarcopenic patients. We applied a targeted metabolomic approach to study the plasma metabolites of adults aged ≥65 years, and identified the metabolic signature predictive of the mortality of sarcopenic patients who died within a 5.5-year follow-up period. Thirty-five sarcopenic patients who died within the follow-up period (Dead cohort) had shown a specific plasma metabolic signature, as compared with 54 patients who were alive (Alive cohort). Only 10 of 116 non-sarcopenic individuals died during the same period. After multivariable adjustment, we found that sex, hypertension, tetradecanoyl-carnitine (C14-carnitine), and docosahexaenoic acid (DHA)-containing phosphatidylcholine diacyl (PCaa) C38:6 and C40:6 were important risk factors for the mortality of sarcopenic patients. Low PCaa C38:6 levels and high C14-carnitine levels correlated with an increased mortality risk; this was even the same for those patients with hypertension (HTN). Our findings suggest that plasma PCaa C38:6 and acylcarnitine C14-carnitine, when combined, can be a better early biomarker for evaluating the mortality risk of sarcopenia patients.

Association between diminished miRNA expression and the disease status of AML patients: Comparing to healthy control.

BACKGROUND: Changes in ABO blood type caused by a gradual decrease in antigen expression have been found in patients with acute myeloid leukemia (AML). Studies have indicated that alteration of ABO gene methylation accounts for 50% of acquired weak ABO antigen expression in patients with leukemia. However, the molecular mechanisms contributing to the remaining 50% of cases are unknown. We hypothesize that deregulation of miRNA is correlated with weak ABO antigen expression in patients with AML. METHODS: Blood samples of 19 patients with AML and 12 healthy controls were collected, in which the blood type was not changed in these AML patients. Flow cytometric analysis was applied to measure the ABO antigen expression titer among AML patients and controls. A total of 18 leukemia-related miRNAs were analyzed via quantitative real-time polymerase chain reactions. RESULTS: We found that miRNA profiles were correlated with the AML patients, especially in those who had constant or weakened ABO antigen expressions. Compared with healthy controls, the miR-16 and miR-451 expression were significantly lower in either AML cases with weak ABO antigen expressions (p = 0.003, p = 0.028, respectively) or AML cases with constant ABO antigen expressions (p = 0.043, p = 0.040, respectively). Although not statistically significant, decreasing trends in the miR-451 and miR-16 expressions in the AML patients with weakened ABO were observed compared to those with constant ABO antigens. The weak ABO antigen expression might correlate with miRNAs, especially miR-16 and miR-451. CONCLUSION: This study indicated that decreasing in miR-16 and miR-451 was associated with AML and AML with weakened ABO expression. In the future, we will continue to include more cases and exclude the others factor influencing ABO antigen expression, promoter methylation and oxidative stress, to replicate the results of this study and investigate the underlying mechanism of decreasing miR-16 and miR-451 in AML patients with varied ABO antigen expression levels.

Distribution and clinical features of lymphomas involving skin in Taiwan.

A wide variety of primary and secondary lymphoma types involves the skin. However, reports with comparisons between both groups are limited in Taiwan. We retrospectively enrolled all cutaneous lymphomas and evaluated their clinicopathologic features. There were 221 cases of lymphoma: 182 (82.3%) primary and 39 (17.7%) secondary. Mycosis fungoides was the most common primary T-cell lymphoma, 92 (41.7%) cases, followed by CD30-positive T-cell lymphoproliferative disorders including lymphomatoid papulosis (n = 33, 14.9%) and cutaneous anaplastic large cell lymphoma (n = 12, 5.4%). The most frequent primary B-cell lymphomas were marginal zone lymphoma (n = 8, 3.6%) and diffuse large B-cell lymphoma (DLBCL), leg type (n = 8, 3.6%). DLBCL including variants was the most common secondary lymphoma involving skin. Most primary lymphomas presented at low-stage (T-cell, 86%; B-cell, 75%), whereas the majority of secondary lymphomas presented at high-stage (T-cell, 94%; B-cell, 100%). Patients with secondary lymphomas had an older mean age, more frequent B symptoms, lower serum albumin and hemoglobin, and a higher frequency of atypical lymphocytes in blood than those with primary lymphomas. In primary lymphomas, older age, lymphoma types, decreased lymphocyte counts and atypical lymphocytes in blood were poorer prognostic factors. In secondary lymphoma patients, lymphoma types, high serum lactate dehydrogenase and low hemoglobin levels predicted poorer survival. We found that the distribution of primary cutaneous lymphomas in Taiwan mirrors that of other Asian countries but shows some differences as compared with Western countries. Primary cutaneous lymphomas have a better prognosis than secondary lymphomas. Histologic classification of lymphomas highly correlated with disease presentation and prognosis.

Early determinants of four-year clinical outcomes in bipolar disorder with psychosis.

OBJECTIVE: Bipolar disorder with psychosis is common in inpatient settings and is associated with diverse outcomes after hospital discharge, which can range from a return to premorbid functioning with no recurrence, to a chronic or recurring illness. Less is known, however, about factors that can predict a better or worse clinical outcome. The present study sought to assess four-year clinical outcomes and their predictors in patients hospitalized for bipolar I disorder with psychosis. METHODS: Participants from the Suffolk County Mental Health Project (SCMHP) with a baseline diagnosis of bipolar I disorder with psychotic features (N=126) were reassessed using face-to-face interviews at six months, two years, and four years following their first hospitalization. At each time point, clinical status, role functioning, and treatment were assessed by highly trained interviewers using standardized instruments. RESULTS: The majority of participants (73.2%) returned to their premorbid level of role functioning by the four-year follow-up and the median percentage of time ill during the interval was less than 20%. Nevertheless, almost half of the sample (46.9%) was rehospitalized at least once. Psychotic symptoms at baseline (particularly Schneiderian symptoms), depressive phenomenology, childhood psychopathology, and younger age at first hospitalization predicted worse outcome, whereas mood-incongruent psychotic features and age of mood disorder onset did not. CONCLUSIONS: The four-year outcomes of a first-admission cohort with bipolar I disorder with psychosis were generally favorable. Poorer premorbid functioning, Schneiderian delusions, greater depressive symptoms, and a younger age of first hospitalization portend a worse course.

On the use of multifactor dimensionality reduction (MDR) and classification and regression tree (CART) to identify haplotype-haplotype interactions in genetic studies.

Haplotype-based approaches may have greater power than single-locus analyses when the SNPs are in strong linkage disequilibrium with the risk locus. To overcome potential complexities owing to large numbers of haplotypes in genetic studies, we evaluated two data mining approaches, multifactor dimensionality reduction (MDR) and classification and regression tree (CART), with the concept of haplotypes considering their haplotype uncertainty to detect haplotype-haplotype (HH) interactions. In evaluation of performance for detecting HH interactions, MDR had higher power than CART, but MDR gave a slightly higher type I error. Additionally, we performed an HH interaction analysis with a publicly available dataset of Parkinson's disease and confirmed previous findings that the RET proto-oncogene is associated with the disease. In this study, we showed that using HH interaction analysis is possible to assist researchers in gaining more insight into identifying genetic risk factors for complex diseases.

Long-Term Outcome of Leptospirosis Infection with Acute Kidney Injury.

Acute kidney injury (AKI) is associated with long-term mortality and morbidity outcomes. Severe leptospirosis usually results in AKI and multiple organ failure, but is associated with favorable short-term outcomes, if treatment is initiated early. However, information on long-term outcomes after leptospirosis-associated AKI is limited. The effects of leptospirosis on resulting chronic kidney disease (CKD), as well as mortality, were evaluated in this study. We studied 2145 patients with leptospirosis from the National Health Insurance Research Database over an 8-year follow-up period. Patient demographics and characteristics were analyzed for AKI and dialysis. The risk factors for renal outcomes were analyzed using multivariate logistic regression. In total, 443 (20.6%) patients had AKI. Among them, 77 (3.6%) patients received replacement therapy (AKI-RRT group). Long-term mortality was higher in the AKI-RRT group than in the AKI group and non-AKI group, based on a multivariate logistic regression model. Similarly, the incidence rate of CKD was highest in the AKI-RRT group, followed by the AKI and non-AKI groups. Leptospirosis, complicated with AKI, may play a critical role in the long-term outcomes, resulting in CKD. The severity of AKI determines the incidence of CKD. Additional prospective investigations for the early detection of AKI in leptospirosis are warranted.

Phenome-wide analysis of Taiwan Biobank reveals novel glycemia-related loci and genetic risks for diabetes.

To explore the complex genetic architecture of common diseases and traits, we conducted comprehensive PheWAS of ten diseases and 34 quantitative traits in the community-based Taiwan Biobank (TWB). We identified 995 significantly associated loci with 135 novel loci specific to Taiwanese population. Further analyses highlighted the genetic pleiotropy of loci related to complex disease and associated quantitative traits. Extensive analysis on glycaemic phenotypes (T2D, fasting glucose and HbA1c) was performed and identified 115 significant loci with four novel genetic variants (HACL1, RAD21, ASH1L and GAK). Transcriptomics data also strengthen the relevancy of the findings to metabolic disorders, thus contributing to better understanding of pathogenesis. In addition, genetic risk scores are constructed and validated for absolute risks prediction of T2D in Taiwanese population. In conclusion, our data-driven approach without a priori hypothesis is useful for novel gene discovery and validation on top of disease risk prediction for unique non-European population.