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  <item rdf:about="https://ir.cnu.edu.tw/handle/310902800/34940">
    <title>Sodium-Glucose Transport Protein 2 Inhibitor Use for Type 2 Diabetes and the Incidence of Acute Kidney Injury in Taiwan</title>
    <link>https://ir.cnu.edu.tw/handle/310902800/34940</link>
    <description>title: Sodium-Glucose Transport Protein 2 Inhibitor Use for Type 2 Diabetes and the Incidence of Acute Kidney Injury in Taiwan abstract: IMPORTANCE The association between sodium-glucose transport protein 2 inhibitor (SGLT2i) use and the incidence of acute kidney injury (AKI) remains controversial. The benefits of SGLT2i use in patients to reduce AKI requiring dialysis (AKI-D) and concomitant diseases with AKI as well as improve AKI prognosis have not yet been established. OBJECTIVE To investigate the association between SGLT2i use and AKI incidence in patients with type 2 diabetes (T2D). DESIGN, SETTING, AND PARTICIPANTS This nationwide retrospective cohort study used the National Health Insurance Research Database in Taiwan. The study analyzed a propensity score-matched population of 104 462 patients with T2D treated with SGLT2is or dipeptidyl peptidase 4 inhibitors (DPP4is) between May 2016 and December 2018. All participants were followed up from the index date until the occurrence of outcomes of interest, death, or the end of the study, whichever was earliest. Analysis was conducted between October 15, 2021, and January 30, 2022. MAIN OUTCOMES AND MEASURES The primary outcome was the incidence of AKI and AKI-D during the study period. AKI was diagnosed using International Classification of Diseases diagnostic codes, and AKI-D was determined using the diagnostic codes and dialysis treatment during the same hospitalization. Conditional Cox proportional hazard models assessed the associations between SGLT2i use and the risks of AKI and AKI-D. The concomitant diseases with AKI and its 90-day prognosis, ie, the occurrence of advanced chronic kidney disease (CKD stage 4 and 5), end-stage kidney disease, or death, were considered when exploring the outcomes of SGLT2i use. RESULTS In a total of 104 462 patients, 46 065 (44.1%) were female patients, and the mean (SD) age was 58 (12) years. After a follow-up of approximately 2.50 years, 856 participants (0.8%) had AKI and 102 (&lt;0.1%) had AKI-D. SGLT2i users had a 0.66-fold risk for AKI (95% CI, 0.57-0.75; P &lt;.001) and 0.56-fold risk of AKI-D (95% CI, 0.37-0.84; P = .005) compared with DPP4i users. The numbers of patients with AKI with heart disease, sepsis, respiratory failure, and shock were 80 (22.73%), 83 (23.58%), 23 (6.53%), and 10 (2.84%), respectively. SGLT2i use was associated with lower risk of AKI with respiratory failure (hazard ratio [HR], 0.42; 95% CI, 0.26-0.69; P &lt;.001) and shock (HR, 0.48; 95% CI, 0.23-0.99; P = .048) but not AKI with heart disease (HR, 0.79; 95% CI, 0.58-1.07; P = .13) and sepsis (HR, 0.77; 95% CI, 0.58-1.03; P = .08). The 90-day AKI prognosis for the risk of advanced CKD indicated a 6.53%(23 of 352 patients) lower incidence in SGLT2i users than in DPP4i users (P = .045). CONCLUSIONS AND RELEVANCE The study findings suggest that patients with T2D who receive SGLT2i may have lower risk of AKI and AKI-D compared with those who receive DPP4i.
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  <item rdf:about="https://ir.cnu.edu.tw/handle/310902800/34697">
    <title>Association of SGLT2 inhibitors with lower incidence of death in type 2 diabetes mellitus and causes of death analysis</title>
    <link>https://ir.cnu.edu.tw/handle/310902800/34697</link>
    <description>title: Association of SGLT2 inhibitors with lower incidence of death in type 2 diabetes mellitus and causes of death analysis abstract: Sodium-glucose cotransporter 2 inhibitor (SGLT2i) potentially decrease all-cause and cardiovascular death, however, associations with non-cardiovascular death remain unclear. Therefore, we investigated SGLT2i associations with death and the cause of death. We used the Taiwanese National Health Institutes Research database linked to the National Register of Deaths (NRD). Incident type 2 diabetes mellitus (T2DM) patients and propensity score matched T2DM SGLT2i and Dipeptidyl peptidase 4 inhibitor (DPP4i) users were investigated. The index year was the SGLT2i or DPP4i prescription date from May 2016. Patients were followed-up until death or December 2018. Deaths verified by the NRD and grouped accordingly. Multiple Cox proportional hazards models were used. In total, 261,211 patients were included in the population; 47% of the patients were female and the average age was 62 years. The overall incidence of all-cause death was 8.67/1000 patient-years for SGLT2i and 12.41 for DPP4i users during follow-up. After adjusting for potential risk factors in the propensity score matched population, SGLT2i users were associated with lower risks of all-cause death, cardiovascular death, cancer death, and non-cancer, non-vascular death compared with DPP4i-users. For specific death causes, significantly lower death risks from heart disease, cerebrovascular disease, and accidents were associated with SGLT2i-use. SGLT2i benefits for T2DM patients were not different across subgroups. Compared with DPP4i-use, SGLT2i-use for T2DM was associated with lower disease and death risk.
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  <item rdf:about="https://ir.cnu.edu.tw/handle/310902800/34692">
    <title>Development and validation of a web-based prediction tool on minor physical anomalies for schizophrenia</title>
    <link>https://ir.cnu.edu.tw/handle/310902800/34692</link>
    <description>title: Development and validation of a web-based prediction tool on minor physical anomalies for schizophrenia abstract: In support of the neurodevelopmental model of schizophrenia, minor physical anomalies (MPAs) have been suggested as biomarkers and potential pathophysiological significance for schizophrenia. However, an integrated, clinically useful tool that used qualitative and quantitative MPAs to visualize and predict schizophrenia risk while characterizing the degree of importance of MPA items was lacking. We recruited a training set and a validation set, including 463 schizophrenia patients and 281 healthy controls to conduct logistic regression and the least absolute shrinkage and selection operator (Lasso) regression to select the best parameters of MPAs and constructed nomograms. Two nomograms were built to show the weights of these predictors. In the logistic regression model, 11 out of a total of 68 parameters were identified as the best MPA items for distinguishing between patients with schizophrenia and controls, including hair whorls, epicanthus, adherent ear lobes, high palate, furrowed tongue, hyperconvex fingernails, a large gap between first and second toes, skull height, nasal width, mouth width, and palate width. The Lasso regression model included the same variables of the logistic regression model, except for nasal width, and further included two items (interpupillary distance and soft ears) to assess the risk of schizophrenia. The results of the validation dataset verified the efficacy of the nomograms with the area under the curve 0.84 and 0.85 in the logistic regression model and lasso regression model, respectively. This study provides an easy-to-use tool based on validated risk models of schizophrenia and reflects a divergence in development between schizophrenia patients and healthy controls (https://www.szprediction.net/).
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  <item rdf:about="https://ir.cnu.edu.tw/handle/310902800/34607">
    <title>The Association of Erythropoietin and Age-Related Macular Degeneration in Hemodialysis Patients: A Nationwide Population-Based Cohort Study</title>
    <link>https://ir.cnu.edu.tw/handle/310902800/34607</link>
    <description>title: The Association of Erythropoietin and Age-Related Macular Degeneration in Hemodialysis Patients: A Nationwide Population-Based Cohort Study abstract: This population-based retrospective cohort study investigated the effectiveness of erythropoietin (EPO) treatment in reducing the risk of age-related macular degeneration (AMD) in hemodialysis patients, using the National Health Insurance Research Data of Taiwan. From the database, we identified 147,318 end-stage renal disease (ESRD) patients on hemodialysis who had been diagnosed in 2000-2014 to establish the propensity-score-matched EPO user cohort and non-EPO user cohort with equal sample size of 15,992. By the end of 2016, the cumulative incidence of AMD in EPO users was about 3.29% lower than that in non-EPO users (Kaplan-Meier survival p &lt; 0.0001). The risk of AMD was 43% lower in EPO users than in non-EPO users, with an adjusted hazard ratio (aHR) of 0.57 (95% confidence interval (CI) = 0.51-0.64) estimated in the multivariate Cox model. A significant negative dose-response relationship was identified between the EPO dosage and the risk of AMD (p &lt; 0.0001). Another beneficial effect of EPO treatment was a reduced risk of both exudative AMD (aHR = 0.48, 95% CI = 0.40-0.61) and non-exudative AMD (aHR = 0.61, 95% CI = 0.53-0.69), also in similar dose-response relationships (p &lt; 0.0001). Our findings suggest that EPO treatment for hemodialysis patients could reduce AMD risk in a dose-response relationship.
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