Association between recently raised anticholinergic burden and risk of acute cardiovascular events: nationwide case-case-time-control study.

OBJECTIVE: To evaluate the association between recently raised anticholinergic burden and risk of acute cardiovascular events in older adults. DESIGN: Case-case-time-control study (ie, incorporating a case crossover design and a control crossover design consisting of future cases). SETTING: Taiwan's National Health Insurance Research Database. PARTICIPANTS: 317 446 adults aged ≥65 who were admitted to hospital because of an incident acute cardiovascular event between 2011 and 2018. Acute cardiovascular events included myocardial infarction, strokes, arrhythmias, conduction disorders, and cardiovascular death. MAIN OUTCOME MEASURES: The anticholinergic burden was measured for each participant by adding up the anticholinergic scores for individual drugs using the Anticholinergic Cognitive Burden Scale. Scores were classified into three levels (0 points, 1-2 points, and ≥3 points). For each participant, anticholinergic burden levels during hazard periods (day -1 to -30 before the cardiovascular event) were compared with randomly selected 30 day reference periods (ie, periods between days -61 and -180). Conditional logistic regression determined odds ratios with 95% confidence intervals to evaluate the association between acute cardiovascular events and recently raised anticholinergic burden. RESULTS: The crossover analyses included 248 579 current cases. Participants' average age on the index date was 78.4 years (standard deviation 0.01), and 53.4% were men. The most frequently prescribed drugs with anticholinergic activity were antihistamines (68.9%), gastrointestinal antispasmodics (40.9%), and diuretics (33.8%). Among patients with varying levels of anticholinergic burden in different periods, more patients carried higher levels of anticholinergic burden during hazard periods than during reference periods. For example, 17 603 current cases had 1-2 points of anticholinergic burden in the hazard period with 0 points in the reference period, while 8507 current cases had 0 points in the hazard period and 1-2 points in the reference period. In the comparison of 1-2 points versus 0 points of anticholinergic burden, the odds ratio was 1.86 (95% confidence interval 1.83 to 1.90) in the case crossover analysis and 1.35 (1.33 to 1.38) in the control crossover analysis, which yielded a case-case-time-control odds ratio of 1.38 (1.34 to 1.42). Similar results were found in the comparison of ≥3 versus 0 points (2.03, 1.98 to 2.09) and ≥3 versus 1-2 points (1.48, 1.44 to 1.52). The findings remained consistent throughout a series of sensitivity analyses (eg, cut-off points for anticholinergic burden categories were redefined and different scales were used to measure anticholinergic burden). CONCLUSIONS: An association was found between recently raised anticholinergic burden and increased risk of acute cardiovascular events. Furthermore, a greater increase in anticholinergic burden was associated with a higher risk of acute cardiovascular events.

Risk of Thrombosis Following the First Dose of ChAdOx1 nCoV-19 Vaccine in Patients Undergoing Maintenance Hemodialysis: A Self-Controlled Case Series Study.

Background: The ChAdOx1 nCoV-19 vaccine is associated with vaccine-induced thrombosis and thrombocytopenia (VITT). Patients with end-stage renal disease (ESRD) under hemodialysis are at elevated risk of heparin-induced thrombocytopenia, which shares similar mechanisms with VITT. We aimed to examine the risk of VITT after the first dose of ChAdOx1 nCoV-19 vaccine using a self-controlled case series analysis (SCCS) in the hemodialyzed ESRD population. Methods: Drawing from the largest multi-center electronic medical records database in Taiwan, we identified adult patients, with or without hemodialysis, between 1st December, 2020, and 31st December, 2021, who received a first dose of ChAdOx1 nCoV-19 vaccine and had an outcome of thrombocytopenia, venous thrombosis, or arterial thrombosis. We calculated the incident rate ratios (IRRs) of outcomes in different periods at risk, compared to periods not at risk. Results:  We identified 59 hemodialysis patients and 41 non-dialysis patients with an outcome. The SCCS analyses showed, for the hemodialysis group, a significantly increased risk of outcomes during the period 31 to 60 days post-exposure to ChAdOx1 nCoV-19 vaccine (IRR: 2.823; 95% CI: 1.423-5.600). However, in non-dialysis patients there was no increase in risks during any of the post-exposure risk periods. Conclusion: For ESRD patients under hemodialysis, the first dose of ChAdOx1 nCoV-19 vaccine was associated with a 2.8-fold increase in risk of thrombosis.

Post-discharge use of antipsychotics in patients with hospital-acquired delirium and associated risk of mortality - A population-based nested case-control study.

OBJECTIVE: To evaluate post-discharge use of antipsychotics in patients with incident hospital-acquired delirium and the associated risk of mortality. METHODS: We conducted a nested case-control study for patients newly diagnosed with hospital-acquired delirium and subsequently discharged from hospital using Taiwan's National Health Insurance Database (NHID) from 2011 to 2018. RESULTS: The use of antipsychotics after discharge did not increase the risk of mortality (adjusted OR: 1·03; 95% CI: 0·98-1·09). CONCLUSIONS: The findings suggested that using antipsychotics after discharge in patients with hospital-acquired delirium may not increase the risk of mortality.

A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data.

Purpose: Development and evaluation of a drug-safety signal detection system integrating data-mining tools in longitudinal data is essential. This study aimed to construct a new triage system using longitudinal data for drug-safety signal detection, integrating data-mining tools, and evaluate adaptability of such system. Patients and Methods: Based on relevant guidelines and structural frameworks in Taiwan's pharmacovigilance system, we constructed a triage system integrating sequence symmetry analysis (SSA) and tree-based scan statistics (TreeScan) as data-mining tools for detecting safety signals. We conducted an exploratory analysis utilizing Taiwan's National Health Insurance Database and selecting two drug classes (sodium-glucose co-transporter-2 inhibitors (SGLT2i) and non-fluorinated quinolones (NFQ)) as chronic and episodic treatment respectively, as examples to test feasibility of the system. Results: Under the proposed system, either cohort-based or self-controlled mining with SSA and TreeScan was selected, based on whether the screened drug had an appropriate comparator. All detected alerts were further classified as known adverse drug reactions (ADRs), events related to other causes or potential signals from the triage algorithm, building on existing drug labels and clinical judgement. Exploratory analysis revealed greater numbers of signals for NFQ with a relatively low proportion of known ADRs; most were related to indication, patient characteristics or bias. No safety signals were found. By contrast, most SGLT2i signals were known ADRs or events related to patient characteristics. Four were potential signals warranting further investigation. Conclusion: The proposed system facilitated active and systematic screening to detect and classify potential safety signals. Countries with real-world longitudinal data could adopt it to streamline drug-safety surveillance.

Oral anticoagulant decreases stroke recurrence in patients with atrial fibrillation detected after stroke.

Background: Atrial fibrillation detected after stroke (AFDAS) has a lower risk of ischemic stroke recurrence than known atrial fibrillation (KAF). While the benefit of oral anticoagulants (OAC) for preventing ischemic stroke recurrence in KAF is well established, their role in patients with AFDAS is more controversial. This study aimed to evaluate the association between OAC use and the risk of recurrent ischemic stroke in patients with AFDAS in a real-world setting. Methods: This nationwide retrospective cohort study was conducted using the Taiwan National Health Insurance Research Database. Patients hospitalized with a first-ever ischemic stroke and AFDAS confirmed within 30 days after hospitalization were assigned to OAC and non-OAC cohorts. Inverse probability of treatment weighting was applied to balance the baseline characteristics of the cohorts. The primary outcome was ischemic stroke recurrence. Secondary outcomes were intracranial hemorrhage (ICH), death, and the composite outcome of "ischemic stroke recurrence, ICH, or death." Multivariate Cox proportional hazard models were used to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI). Results: A total of 4,508 hospitalized patients with stroke and AFDAS were identified. Based on OAC use, 2,856 and 1,652 patients were assigned to the OAC and non-OAC groups, respectively. During the follow-up period (median duration, 2.76 years), the OAC cohort exhibited a lower risk of ischemic stroke recurrence (aHR, 0.84; 95% CI, 0.70-0.99), death (aHR, 0.65; 95% CI, 0.58-0.73), and composite outcome (aHR, 0.70; 95% CI, 0.63-0.78) than did the non-OAC cohort. The risk of ICH (aHR, 0.96; 95% CI, 0.62-1.50) was not significantly different between the two cohorts. Conclusion: OAC use in patients with AFDAS was associated with reduced risk of ischemic stroke recurrence, without an increased risk of ICH. This supports current guidelines recommending OACs for secondary stroke prevention in patients with AF, regardless of the time of diagnosis.

Validation of Risk Scores for Predicting Atrial Fibrillation Detected After Stroke Based on an Electronic Medical Record Algorithm: A Registry-Claims-Electronic Medical Record Linked Data Study.

Background: Poststroke atrial fibrillation (AF) screening aids decisions regarding the optimal secondary prevention strategies in patients with acute ischemic stroke (AIS). We used an electronic medical record (EMR) algorithm to identify AF in a cohort of AIS patients, which were used to validate eight risk scores for predicting AF detected after stroke (AFDAS). Methods: We used linked data between a hospital stroke registry and a deidentified database including EMRs and administrative claims data. EMR algorithms were constructed to identify AF using diagnostic and medication codes as well as free clinical text. Based on the optimal EMR algorithm, the incidence rate of AFDAS was estimated. The predictive performance of 8 risk scores including AS5F, C2HEST, CHADS2, CHA2DS2-VASc, CHASE-LESS, HATCH, HAVOC, and Re-CHARGE-AF scores, were compared using the C-index, net reclassification improvement, integrated discrimination improvement, calibration curve, and decision curve analysis. Results: The algorithm that defines AF as any positive mention of AF-related keywords in electrocardiography or echocardiography reports, or presence of diagnostic codes of AF was used to identify AF. Among the 5,412 AIS patients without known AF at stroke admission, the incidence rate of AFDAS was 84.5 per 1,000 person-year. The CHASE-LESS and AS5F scores were well calibrated and showed comparable C-indices (0.741 versus 0.730, p = 0.223), which were significantly higher than the other risk scores. Conclusion: The CHASE-LESS and AS5F scores demonstrated adequate discrimination and calibration for predicting AFDAS. Both simple risk scores may help select patients for intensive AF monitoring.

Effect Modification by Indication to the Risks of Major Thromboembolic Adverse Events in Patients Receiving Intravitreal Anti-Vascular Endothelial Growth Factor Treatment: A Population-Based Retrospective Cohort Study.

BACKGROUND: The association between intravitreal anti-vascular endothelial growth factor (anti-VEGF) treatment and the risk of major thromboembolic adverse events (TAEs) remains under debate. This study aimed to examine associated risks of TAEs in patients receiving intravitreal anti-VEGF treatment, and effect modification by different indications. METHODS: This retrospective cohort study analyzed Taiwan's National Health Insurance Database during 2011-2017 to identify neovascular age-related macular degeneration (nAMD) or diabetic macular edema (DME) patients newly receiving intravitreal aflibercept or ranibizumab. We followed up patients for 2 years, or until the occurrence of TAEs, including ischemic heart disease, ischemic stroke, transient ischemic attack, deep vein thrombosis, and pulmonary embolism, death, or the end of the study period (i.e., 31 December 2018). We compared the risk of TAEs between patients with aflibercept and ranibizumab using Cox-proportional hazard models. We examined statistical interactions between the anti-VEGF treatment (i.e., ranibizumab and aflibercept) and indications (i.e., nAMD and DME) with regard to the outcome of TAEs. RESULTS: We included 12,215 nAMD and 7532 DME patients. Among nAMD patients, those receiving aflibercept had lower risk of TAEs (adjusted hazard ratio [HR] 0.85; 95% CI 0.77-0.94) compared with those receiving ranibizumab. However, among DME patients, those receiving aflibercept had no differences in the risk of TAEs (1.14; 0.97-1.35) compared with those receiving ranibizumab. Among patients treated with ranibizumab, the DME group had a higher risk of TAEs than the nAMD group (HR 1.15; 95% CI 1.03-1.28); similar results were observed in patients treated with aflibercept (HR 1.53; 95% CI 1.27-1.85). When DME patients were treated with aflibercept, the risk of TAEs was 31% higher than when nAMD patients were treated with ranibizumab (HR 1.31; 95% CI 1.09-1.56; p < 0.05). The p-value for statistical interaction between the anti-VEGF treatment and indications was 0.0033. CONCLUSIONS: Patients treated with aflibercept or ranibizumab for different indications may be associated with varying risk of TAEs. The findings provide evidence to support treatment selection, taking indications and TAE risk into consideration.

Positive Predictive Value of ICD-10 Codes for Cerebral Venous Sinus Thrombosis in Taiwan's National Health Insurance Claims Database.

OBJECTIVE: This study aims to determine the positive predictive value (PPV) of case definitions for cerebral venous sinus thrombosis (CVST) in Taiwan's National Health Insurance claims database based on the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) diagnostic codes. STUDY DESIGN AND SETTING: Inpatient records with ICD-10-CM codes of G08, I629, I636, or I676 were retrieved from the claims data of all hospital branches of Chang Gung Medical Foundation. Manual review of the medical records and images was performed in order to ascertain the diagnosis. The PPV of various case definitions for CVST was estimated. RESULTS: Of the 380 hospitalizations, 166 and 214 were determined to be true-positive and false-positive episodes of acute CVST, respectively. The PPV of the ICD-10-CM codes of G08, I629, I636, and I676 was 88.2%, 2.0%, 100.0%, and 91.3%, respectively. The PPV generally increased when acute CVST was defined as a primary diagnosis or as ICD-10-CM codes plus anticoagulant use. Miscoding in other conditions, tentative diagnosis, and remote episode of CVST were determined as the main reasons for false-positive diagnosis of acute CVST. CONCLUSION: This study determined the PPV of ICD-10-CM codes for identifying CVST, which may offer a reference for future claims-based research.

Cardiovascular and metabolic risk of antipsychotics in children and young adults: a multinational self-controlled case series study.

AIMS: The risk of antipsychotic-associated cardiovascular and metabolic events may differ among countries, and limited real-world evidence has been available comparing the corresponding risks among children and young adults. We, therefore, evaluated the risks of cardiovascular and metabolic events in children and young adults receiving antipsychotics. METHODS: We conducted a multinational self-controlled case series (SCCS) study and included patients aged 6-30 years old who had both exposure to antipsychotics and study outcomes from four nationwide databases of Taiwan (2004-2012), Korea (2010-2016), Hong Kong (2001-2014) and the UK (1997-2016) that covers a total of approximately 100 million individuals. We investigated three antipsychotics exposure windows (i.e., 90 days pre-exposure, 1-30 days, 30-90 days and 90 + days of exposure). The outcomes were cardiovascular events (stroke, ischaemic heart disease and acute myocardial infarction), or metabolic events (hypertension, type 2 diabetes mellitus and dyslipidaemia). RESULTS: We included a total of 48 515 individuals in the SCCS analysis. We found an increased risk of metabolic events only in the risk window with more than 90-day exposure, with a pooled IRR of 1.29 (95% CI 1.20-1.38). The pooled IRR was 0.98 (0.90-1.06) for 1-30 days and 0.88 (0.76-1.02) for 31-90 days. We found no association in any exposure window for cardiovascular events. The pooled IRR was 1.86 (0.74-4.64) for 1-30 days, 1.35 (0.74-2.47) for 31-90 days and 1.29 (0.98-1.70) for 90 + days. CONCLUSIONS: Long-term exposure to antipsychotics was associated with an increased risk of metabolic events but did not trigger cardiovascular events in children and young adults.

Differences in outcomes of hospitalizations for heart failure after SGLT2 inhibitor treatment: effect modification by atherosclerotic cardiovascular disease.

BACKGROUND: The treatment effects on hospitalization for heart failure (hHF) from sodium-glucose cotransporter 2 (SGLT2) inhibitors may vary among type 2 diabetes (T2D) patients depending on whether or not they have established atherosclerotic cardiovascular diseases (ASCVD). We aimed to examine differences in hHF outcomes after dapagliflozin or empagliflozin use between T2D patients with and without a history of established ASCVD. METHODS: We conducted a retrospective multi-institutional cohort study in Taiwan. We included T2D patients newly receiving dapagliflozin or empagliflozin during 2016-2019, and followed them up until December 31, 2020. We implemented 1:1 propensity score matching to create homogenous groups for comparisons. We generated Cox proportional hazard models to compare the risk of hHF between dapagliflozin and empagliflozin (reference group). We included interaction terms of SGLT2 inhibitor and ASCVD history in the regression models to examine effect modification by ASCVD. RESULTS: We included a total cohort of 9,586 dapagliflozin new users and 9,586 matched empagliflozin new users. The overall hHF risks were similar for dapagliflozin and empagliflozin (HR: 0.90, 95% CI 0.74-1.09). However, differential hHF risks between dapagliflozin and empagliflozin were observed only in the subgroup without ASCVD (HR: 0.67, 95% CI 0.49-0.90), while not in the subgroup with ASCVD (HR: 1.12, 95% 0.87-1.45), and the p-value for examining interaction was 0.0097. CONCLUSION: In this study, history of established ASCVD was associated with different hHF risks among SGLT2 inhibitors. For T2D patients without ASCVD, dapagliflozin may offer a more favorable hHF reduction effect, compared to empagliflozin, in clinical practice. Future prospective studies should be conducted to validate our findings.

Comparative Risk of Arterial Thromboembolic Events Between Aflibercept and Ranibizumab in Patients with Maculopathy: A Population-Based Retrospective Cohort Study.

BACKGROUND: The increasing numbers of elderly patients and rising incidence of maculopathy raise concerns over arterial thromboembolic events (ATEs) with the use of intravitreal anti-vascular endothelial growth factor (VEGF) medications. OBJECTIVES: This study aimed to compare the risk of ATEs between aflibercept and ranibizumab for maculopathy. METHODS: We conducted a retrospective population-based cohort study analyzing Taiwan's National Health Insurance Database during 2011-2017 to identify patients with maculopathy receiving intravitreal aflibercept or ranibizumab. The primary outcome was any hospitalization or emergency room visit because of ATEs, including ischemic heart disease (IHD), ischemic stroke (IS), and transient ischemic attack (TIA). The secondary outcome was mortality within 30 days after occurrence of ATE. We employed propensity score methods to generate more homogeneous groups for comparison. RESULTS: We included 5791 aflibercept users and 14,534 ranibizumab users in this study. Compared with the ranibizumab group, the aflibercept group was associated with a lower risk of ATE (hazard ratio [HR] 0.85; 95% confidence interval [CI] 0.80-0.91), with HRs of 0.86 for IHD (95% CI 0.80-0.93), 0.87 for IS (95% CI 0.76-1.00), and 0.57 for TIA (95% CI 0.46-0.71). The risk of 30-day mortality after ATE (HR 1.39; 95% CI 0.80-2.43) and the risk of all-cause mortality (HR 1.02; 95% CI 0.89-1.17) in the aflibercept group was similar to that in the ranibizumab group. CONCLUSION: The use of aflibercept in patients with maculopathy was associated with a lower risk of ATE than was the use of ranibizumab. There was no difference in mortality risk between the two groups. Our study could provide strong grounds for future prospective studies to confirm the findings.

Risk of Heart Failure in Rheumatoid Arthritis Patients Treated with Tumor Necrosis Factor-α Inhibitors.

This is a retrospective cohort study by analyzing a multi-institutional electronic medical records database covering 1.3 million individuals (6% of Taiwan's population) to compare the risk of heart failure (HF) in patients with rheumatoid arthritis (RA) treated with tumor necrosis factor-α (TNF-α) inhibitors or conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs). We included patients with RA aged 20 years and older who had treatment failure with at least 2 different csDMARD regimens and newly switched to another csDMARD regimen or TNFis from 2009 to 2019. We followed patients from initiation of the new therapies to the occurrence of hospitalization for heart failure (hHF), death, to the last clinical visit or December 31, 2020. We performed multivariable Cox proportional hazard models to compare TNF-α inhibitors and csDMARD groups for the risk of hHF, with adjustment for patients' characteristics. A total of 1,278 TNF-α inhibitors and 1,932 csDMARDs treated patients were identified, with 78% being women and having an average age of 55 (SD 13.28) years. The incidence rates of hHF for the TNF-α inhibitors and csDMARD groups were 3.66 and 4.72 per 1,000 person-years, respectively (adjusted hazard ratio (aHR) 0.59; 95% confidence interval (CI) 0.35-0.97), and the results remained consistent in patients both with an HF history (aHR 0.66; 95% CI 0.03-14.46) and without (aHR 0.49; 95% CI, 0.27-0.89). The findings suggest that those who switched to TNF-α inhibitors had a reduced risk of hHF, compared with those who switched to another csDMARD regimen.

Comparative cardiometabolic risk of antipsychotics in children, adolescents and young adults.

Understanding different cardiometabolic safety profiles of antipsychotics helps avoid unintended outcomes among young patients. We conducted a population-based study to compare cardiometabolic risk among different antipsychotics in children, adolescents and young adults. From Taiwan's National Health Insurance Database, 2001-2013, we identified two patient cohorts aged 5-18 (children and adolescents) and 19-30 (young adults), diagnosed with psychiatric disorders and newly receiving antipsychotics, including haloperidol and sulpiride, and second generation antipsychotics (SGA, including olanzapine, quetiapine, risperidone, amisulpride, aripiprazole, paliperidone, and ziprasidone). Risperidone users were considered the reference group. We analyzed electronic medical records from seven hospitals in Taiwan and confirmed findings with validation analyses of identical design. Primary outcomes were composite cardiometabolic events, including type 2 diabetes mellitus, hypertension, dyslipidemia, and major adverse cardiovascular events. Multivariable Cox proportional hazards regression models compared cardiometabolic risk among antipsychotics. Among 29,030 patients aged 5-18 and 50,359 patients aged 19-30 years, we found 1200 cardiometabolic event cases during the total follow-up time of 37,420 person-years with an incidence of 32.1 per 1000 person-years. Compared to risperidone, olanzapine was associated with a significantly higher risk of cardiometabolic events in young adults (adjusted hazard ratio, 1.57; 95% CIs 1.13-2.18) but not in children and adolescents (1.85; 0.79-4.32). Specifically, we found young adult patients receiving haloperidol (1.52; 1.06-2.20) or olanzapine (1.75; 1.18-2.61) had higher risk of hypertension compared with risperidone users. Results from validation analyses concurred with main analyses. Antipsychotics' various risk profiles for cardiometabolic events merit consideration when selecting appropriate regimes. Due to cardiometabolic risk, we suggest clinicians may consider to select alternative antipsychotics to olanzapine in children, adolescents and young adults.

Workload of pharmacists and the performance of pharmacy services.

OBJECTIVE: To evaluate the influence of pharmacists' dispensing workload (PDW) on pharmacy services as measured by prescription suggestion rate (PSR) and dispensing error rate (DER). METHOD: This was an observational study in northern and southern Taiwan's two largest medical centers, from 2012 to 2018. We calculated monthly PDW as number of prescriptions divided by number of pharmacist working days. We used monthly PSR and DER as outcome indicators for pharmacists' review and dispensing services, respectively. We used Poisson regression model with generalized estimation equation methods to evaluate the influence of PDW on PSR and DER. RESULTS: The monthly mean of 463,587 (SD 32,898) prescriptions yielded mean PDW, PSR and DER of 52 (SD 3) prescriptions per pharmacist working days, 30 (SD 7) and 8 (SD 2) per 10,000 prescriptions monthly, respectively. There was significant negative impact of PDW on PSR (adjusted rate ratio, aRR: 0.9786; 95%CI: 0.9744-0.9829) and DER (aRR: 0.9567; 95%CI: 0.9477-0.9658). Stratified analyses by time periods (2012-2015 and 2016-2018) revealed the impact of PDW on PSR to be similar in both periods; but with positive association between PDW and DER in the more recent one (aRR: 1.0086, 95%CI: 1.0003-1.0169). CONCLUSIONS: Reduced pharmacist workload was associated with re-allocation of pharmacy time to provide prescription suggestions and, more recently, decrease dispensing errors. Continuous efforts to maintain appropriate workload for pharmacists are recommended to ensure prescription quality.

Favorable pleiotropic effects of sodium glucose cotransporter 2 inhibitors: head-to-head comparisons with dipeptidyl peptidase-4 inhibitors in type 2 diabetes patients.

BACKGROUND: Sodium glucose cotransporter 2 (SGLT2) inhibitors have shown greater reductions of cardiovascular event risks than dipeptidyl peptidase-4 (DPP4) inhibitors, whereby possible mechanisms may involve the better pleiotropic effects of SGLT2 inhibitors. However, no published data are currently available to directly compare glycemic and pleiotropic effects in real-world type 2 diabetes patients initiating SGLT2 inhibitors or DPP4 inhibitors. METHOD: We conducted a retrospective cohort study by analyzing the Chang Gung Research Database, the largest multi-institutional electronic medical records database in Taiwan. We included patients newly receiving SGLT2 inhibitor or DPP4 inhibitor intensification therapy for type 2 diabetes from 2016 to 2017. We matched SGLT2 inhibitor users to DPP4 inhibitor users (1:4) by propensity scores to ensure comparable characteristics between the groups. We primarily evaluated 1-year post-treatment changes of hemoglobin A1c (HbA1c) after SGLT2 inhibitor or DPP4 inhibitor initiation, using two-tailed independent t-test. We also evaluated post-treatment changes in body weight, systolic blood pressure (SBP), alanine aminotransferase (ALT) and estimated glomerular filtration rate (eGFR) values, associated with SGLT2 inhibitors and DPP4 inhibitors. RESULTS: We identified a cohort of 2028 SGLT2 inhibitors and 8112 matched DPP4 inhibitors new users. SGLT2 inhibitors and DPP4 inhibitors showed similar HbA1c reductions (- 1.0 vs. - 1.1%; P = 0.076), but patients receiving SGLT2 inhibitors had greater improvements in body weight (- 1.5 vs. - 1.0 kg; P = 0.008), SBP (- 2.5 vs. - 0.7 mmHg; P < 0.001) and ALT values (- 4.1 vs. - 0.0 U/l; P < 0.001) and smaller declines in eGFR values (- 2.0 vs. - 3.5 ml/min/1.73 m2; P < 0.001) when compared to DPP4 inhibitors. CONCLUSION: SGLT2 inhibitors had glucose-lowering effects comparable to those of DPP4 inhibitors but more favorable pleiotropic effects on body weight, ALT and eGFR changes, potentially improving type 2 diabetes patients' cardio-metabolic disease risks.

Effects of sodium-glucose co-transporter-2 inhibitors on serum alanine aminotransferase levels in people with type 2 diabetes: A multi-institutional cohort study.

Clinical trials have indicated that sodium-glucose co-transporter-2 (SGLT2) inhibitors have a favourable effect on serum alanine aminotransferase (ALT) levels in people with type 2 diabetes (T2D), but supporting evidence from real-world studies is lacking. We identified patients with T2D who initiated SGLT2 inhibitors during the period 2016 to 2017 from Chang Gung Research Database, which covers 1.3 million individuals from seven hospitals (6% of the Taiwan population). We classified patients by baseline ALT level and evaluated changes in ALT values from baseline to 1 year after initiation of SGLT2 inhibitors. We identified 11 690 new users of SGLT2 inhibitors with a mean (SD) age of 59.3 (11.8) years. The mean (SD) glycated haemoglobin and ALT levels were 8.9 (1.7)% and 34.7 (28.9) U/L at baseline, respectively. The mean change in ALT levels was -5.0 U/L (95% confidence interval [CI] -6.4, -3.5) 1 year after initiation of SGLT2 inhibitors. In patients with ALT levels ≤1× the upper limit of normal (ULN), the change in ALT levels was 1.6 U/L (95% CI -0.1, 3.4), while in those with ALT levels >1× ULN, the change in ALT levels was -26.5 U/L (95% CI -28.6, -24.3). The higher the baseline ALT level, the greater the decline after SGLT2 inhibitor treatment. Our findings suggest the initiation of SGLT2 inhibitors for T2D management could improve serum ALT levels in clinical practice, particularly in patients with especially high ALT levels.

Taiwan's National Health Insurance Research Database: past and future.

Taiwan's National Health Insurance Research Database (NHIRD) exemplifies a population-level data source for generating real-world evidence to support clinical decisions and health care policy-making. Like with all claims databases, there have been some validity concerns of studies using the NHIRD, such as the accuracy of diagnosis codes and issues around unmeasured confounders. Endeavors to validate diagnosed codes or to develop methodologic approaches to address unmeasured confounders have largely increased the reliability of NHIRD studies. Recently, Taiwan's Ministry of Health and Welfare (MOHW) established a Health and Welfare Data Center (HWDC), a data repository site that centralizes the NHIRD and about 70 other health-related databases for data management and analyses. To strengthen the protection of data privacy, investigators are required to conduct on-site analysis at an HWDC through remote connection to MOHW servers. Although the tight regulation of this on-site analysis has led to inconvenience for analysts and has increased time and costs required for research, the HWDC has created opportunities for enriched dimensions of study by linking across the NHIRD and other databases. In the near future, researchers will have greater opportunity to distill knowledge from the NHIRD linked to hospital-based electronic medical records databases containing unstructured patient-level information by using artificial intelligence techniques, including machine learning and natural language processes. We believe that NHIRD with multiple data sources could represent a powerful research engine with enriched dimensions and could serve as a guiding light for real-world evidence-based medicine in Taiwan.

The Chang Gung Research Database-A multi-institutional electronic medical records database for real-world epidemiological studies in Taiwan.

PURPOSE: The Chang Gung Research Database (CGRD), the largest multi-institutional electronic medical records (EMR) collection in Taiwan, provides good access for researchers to efficiently use the standardized patient-level data. This study evaluates the capacity and representativeness of the CGRD to promote secondary use of EMR data for clinical research with more accurate estimates. METHODS: The National Health Insurance Research Database (NHIRD) which covers over 99.9% of the Taiwanese population served as the comparator in this study. We compare the data components of the CGRD with the NHIRD, including records for health care facilities, patients, diagnoses, drugs, and procedures. Using the chi-square test, we compared the distributions of age categories and sex of patients, and the rates of their health conditions between NHIRD and CGRD based on the year 2015. RESULTS: The CGRD contains more clinical information such as pathological and laboratory results than the NHIRD. The CGRD includes 6.1% of outpatients and 10.2% of hospitalized patients from the NHIRD. We found the CGRD includes more elderly outpatients (23.5% vs 12.5%) and pediatric inpatients (19.7% vs 14.4%) compared with the NHIRD. We found patients' sex distributions were similar between CGRD and NHIRD, but coverage rates of severe conditions, such as cancer, were higher than other health conditions in CGRD. CONCLUSIONS: The CGRD could serve as the basis for accurate estimates in medical studies. However, researchers should pay special attention to selection biases since patients' characteristics from CGRD differ from those of the national database.

Risks of newly onset hemorrhagic stroke in patients with neovascular age-related macular degeneration.

PURPOSE: Age-related macular degeneration (AMD) is an eye disease causing blindness in the elderly. It shares many common possible pathogenic mechanisms with cardiovascular diseases. Many studies have discussed the association between AMD and stroke, but the results were inconsistent. Our aim was to determine the associations between neovascular AMD and the risk of stroke in the Taiwanese population. METHODS: This is a retrospective cohort study. We used claims data from National Health Insurance Research Database. Patients aged more than 45 years without stroke, myocardial infarction, or any AMD were selected from 2001 to 2008 and followed until 2010. The index date was defined as the date of nAMD diagnosis (ICD-9 code, 362.52). The comparison group was patients without an nAMD diagnosis with age- and sex-matched to nAMD subjects at a ratio of up to 10 to 1. Kaplan-Meier survival analysis and Cox regression analysis were used. The incidence of stroke events (ICD-9 codes, 430-434) and their subtypes (hemorrhagic and ischemic) were primary outcomes. Secondary outcomes included acute myocardial infarction (AMI), composite AMI/stroke, and all-cause mortality. RESULTS: Patients with nAMD had a higher risk of developing stroke, with an adjusted HR of 1.30 (95% CI, 1.01-1.68). A higher risk for hemorrhagic stroke (HR, 1.70, 95% CI, 1.03-2.83) was also found. No significant differences were observed in ischemic stroke, the composite of AMI/stroke, and all-cause mortality. CONCLUSIONS: Patients with nAMD had a significantly higher risk of developing stroke, which was driven mainly by the increased risk of developing the hemorrhagic subtype.

Sequence symmetry analysis in pharmacovigilance and pharmacoepidemiologic studies.

Sequence symmetry analysis (SSA) is a method for detecting adverse drug events by utilizing computerized claims data. The method has been increasingly used to investigate safety concerns of medications and as a pharmacovigilance tool to identify unsuspected side effects. Validation studies have indicated that SSA has moderate sensitivity and high specificity and has robust performance. In this review we present the conceptual framework of SSA and discuss advantages and potential pitfalls of the method in practice. SSA is based on analyzing the sequences of medications; if one medication (drug B) is more often initiated after another medication (drug A) than before, it may be an indication of an adverse effect of drug A. The main advantage of the method is that it requires a minimal dataset and is computationally efficient. By design, SSA controls time-constant confounders. However, the validity of SSA may be affected by time-varying confounders, as well as by time trends in the occurrence of exposure or outcome events. Trend effects may be adjusted by modeling the expected sequence ratio in the absence of a true association. There is a potential for false positive or negative results and careful consideration should be given to potential sources of bias when interpreting the results of SSA studies.