Three-Year Cardiovascular Outcomes of Telmisartan in Patients With Hypertension: An Electronic Health Record-Based Cohort Study.

BACKGROUND: Telmisartan exhibits superior efficacy in controlling 24-h blood pressure (BP) compared with other angiotensin receptor blockers (ARBs). However, data on its cardiovascular effects in patients with hypertension are limited. This study aimed to evaluate the cardiovascular outcomes in patients taking telmisartan compared to those taking other ARBs. METHODS: This multicenter retrospective study used data from the Korea University Medical Center database, built from electronic health records. A total of 19,247 patients taking two or more antihypertensive medications were identified. Patients prescribed telmisartan (telmisartan users) were compared with those prescribed an ARB other than telmisartan (other ARB users). The primary outcome was major adverse cardiac events (MACE), a composite of cardiovascular death, myocardial infarction, stroke, and hospitalizations due to heart failure. The adjusted outcomes were compared using 1:1 propensity score (PS) matching. RESULTS: Overall, 3,437 (17.9%) patients were telmisartan users. These patients were more likely to be younger and male and less likely to have a history of chronic kidney disease, dialysis, or heart failure. In the PS-matched cohort, BP control was similar in both groups; however, telmisartan users exhibited significantly lower visit-to-visit BP variability. The adjusted 3-year MACE rate was similar between telmisartan users (4.6%) and other ARB users (4.7%, log-rank P = 0.75), with comparable safety profiles. CONCLUSIONS: In real-world practice, telmisartan showed cardiovascular outcomes similar to those of other ARBs in patients with hypertension taking two or more antihypertensive drugs.

Cardiovascular outcomes according to on-treatment systolic blood pressure in older hypertensive patients: a multicenter cohort using a common data model.

OBJECTIVE: In the growing population of older patients with hypertension, limited evidence supports an association between lowering systolic blood pressure (SBP) and decreased adverse events. We aimed to investigate cardiovascular outcomes according to on-treatment SBP in older hypertensive patients. METHODS: This multicenter, retrospective study used data from the Korea University Medical Center database built on electronic health records from 2017 to 2022. Patients initiated on at least two antihypertensive drugs in combination were followed for three years. The patients were grouped by average on-treatment SBP in 10-mmHg increments from <110 to 160 mmHg or more. The primary outcome was a composite of all-cause death, myocardial infarction, stroke, and hospitalization due to heart failure. RESULTS: A total of 6427 patients aged ≥75 years (mean age, 80 years) were identified. The incidence of the primary outcome was lowest in individuals with an SBP of 120-129 mmHg (14.0%, P  < 0.001), and the adjusted hazard ratio for the primary outcome showed a J-shaped relationship with on-treatment SBP. Achieving an SBP of 120-129 mmHg showed acceptable safety profiles, including electrolyte imbalance, acute kidney injury, new-onset atrial fibrillation, and new-onset dementia or Alzheimer's disease when compared to the group with SBP of 130-139 mmHg. CONCLUSIONS: An average on-treatment SBP of less than 130 mmHg was associated with improved outcomes in older hypertensive patients without raising safety concerns. These findings support the target SBP of 130 mmHg in older patients, if tolerated.

Safety and cardiovascular effectiveness of olmesartan in combination therapy for advanced hypertension: an electronic health record-based cohort study.

OBJECTIVE: Compared with placebo, olmesartan has been linked to numerical imbalances in cardiovascular mortality. There is a paucity of contemporary real-world evidence on this agent for different study populations. This study investigated the clinical outcomes of olmesartan and other antihypertensives in patients with advanced hypertension. METHODS: This multicenter retrospective study used data from the Korea University Medical Center database, built from electronic health records. Patients prescribed at least two antihypertensive medications as a combined therapy were followed-up for 3 years. The primary outcome was a composite of all-cause mortality, myocardial infarction (MI), stroke, and hospitalization for heart failure. Adjusted outcomes were compared using propensity score (PS) matching. RESULTS: Among 24 806 patients, 4050 (16.3%) were olmesartan users between January 2017 and December 2018. The average patient age was 64 years, 45% were women, and 41% had diabetes. Olmesartan users were younger and less likely to have diabetes mellitus or chronic kidney disease. In PS-matched cohort, the 3-year cumulative incidences of the primary outcome were similar between the two groups ( P  = 0.91). The cumulative incidence of MI at 3 years was 1.4% in olmesartan users (4.8 per 1000 person-years) and 1.5% in active comparators (5.2 per 1000 person-years; P  = 0.74). Olmesartan also showed similar safety profiles, including acute kidney injury and newly started dialysis. CONCLUSIONS: In real-world practice, olmesartan use in combination therapy resulted in similar cardiovascular outcomes when compared with those of active comparators, and our findings did not show any conclusive evidence that olmesartan is harmful in patients with hypertension.

Standardized Database of 12-Lead Electrocardiograms with a Common Standard for the Promotion of Cardiovascular Research: KURIAS-ECG.

OBJECTIVES: Electrocardiography (ECG)-based diagnosis by experts cannot maintain uniform quality because individual differences may occur. Previous public databases can be used for clinical studies, but there is no common standard that would allow databases to be combined. For this reason, it is difficult to conduct research that derives results by combining databases. Recent commercial ECG machines offer diagnoses similar to those of a physician. Therefore, the purpose of this study was to construct a standardized ECG database using computerized diagnoses. METHODS: The constructed database was standardized using Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and Observational Medical Outcomes Partnership-common data model (OMOP-CDM), and data were then categorized into 10 groups based on the Minnesota classification. In addition, to extract high-quality waveforms, poor-quality ECGs were removed, and database bias was minimized by extracting at least 2,000 cases for each group. To check database quality, the difference in baseline displacement according to whether poor ECGs were removed was analyzed, and the usefulness of the database was verified with seven classification models using waveforms. RESULTS: The standardized KURIAS-ECG database consists of high-quality ECGs from 13,862 patients, with about 20,000 data points, making it possible to obtain more than 2,000 for each Minnesota classification. An artificial intelligence classification model using the data extracted through SNOMED-CT showed an average accuracy of 88.03%. CONCLUSIONS: The KURIAS-ECG database contains standardized ECG data extracted from various machines. The proposed protocol should promote cardiovascular disease research using big data and artificial intelligence.

Peroxisome proliferator-activated receptor γ activation ameliorates liver fibrosis-differential action of transcription factor EB and autophagy on hepatocytes and stellate cells.

BACKGROUND: Peroxisome proliferator-activated receptor γ (PPARγ) activation suppresses HSC activation and liver fibrosis. Moreover, autophagy is implicated in hepatic lipid metabolism. Here, we determined whether PPARγ activation ameliorates HSC activation by downregulating transcription factor EB (TFEB)-mediated autophagy. METHODS AND RESULTS: Atg7 or Tfeb knockdown in human HSC line LX-2 cells downregulated the expression of fibrogenic markers including α smooth muscle actin, glial fibrillary acidic protein, and collagen type 1. Conversely, Atg7 or Tfeb overexpression upregulated fibrogenic marker expression. Rosiglitazone (RGZ)-mediated PPARγ activation and/or overexpression in LX-2 cells and primary HSCs decreased autophagy, as indicated by LC3B conversion, total and nuclear-TFEB contents, mRFP-LC3 and BODIPY 493/503 colocalization, and GFP-LC3 and LysoTracker colocalization. RGZ treatment decreased liver fat content, liver enzyme levels, and fibrogenic marker expression in high-fat high-cholesterol diet-fed mice. Electron microscopy showed that RGZ treatment restored the high-fat high-cholesterol diet-mediated lipid droplet decrease and autophagic vesicle induction in primary HSCs and liver tissues. However, TFEB overexpression in LX-2 cells offset the aforementioned effects of RGZ on autophagic flux, lipid droplets, and fibrogenic marker expression. CONCLUSIONS: Activation of PPARγ with RGZ ameliorated liver fibrosis and downregulation of TFEB and autophagy in HSCs may be important for the antifibrotic effects of PPARγ activation.

Gender Difference of Blood Pressure Control Rate and Clinical Prognosis in Patients With Resistant Hypertension: Real-World Observation Study.

BACKGROUND: There are several differences in the clinical course of hypertension due to the biological and social differences between men and women. Resistant hypertension is an advanced disease state, and significant gender difference could be expected, but much has not been revealed yet. The purpose of this study was to compare gender differences on the current status of blood pressure (BP) control and clinical prognosis in patients with resistant hypertension. METHODS: This is a multicenter, retrospective cohort study using common data model databases of 3 tertiary hospitals in Korea. Total 4,926 patients with resistant hypertension were selected from January 2017 to December 2018. Occurrence of dialysis, heart failure (HF) hospitalization, myocardial infarction, stroke, dementia or all-cause mortality was followed up for 3 years. RESULTS: Male patients with resistant hypertension were younger but had a higher cardiovascular risk than female patients. Prevalence of left ventricular hypertrophy and proteinuria was higher in men than in women. On-treatment diastolic BP was lower in women than in men and target BP achievement rate was higher in women than in men. During 3 years, the incidence of dialysis and myocardial infarction was higher in men, and the incidence of stroke and dementia was higher in women. After adjustment, male sex was an independent risk factor for HF hospitalization, myocardial infarction, and all-cause death. CONCLUSION: In resistant hypertension, men were younger than women, but end-organ damage was more common and the risk of cardiovascular event was higher. More intensive cardiovascular prevention strategies may be required in male patients with resistant hypertension.

Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease.

Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients with CKD (stages 3−5) who underwent ECG between 2013 and 2015 were selected from the electronic health record database of the Korea University Anam Hospital. ECG abnormalities were defined using the Minnesota classification. The five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke were analyzed. The five-year incidences for MACCE were 27.7%, 20.8%, and 17.2% in patients with no, minor, and major ECG abnormality (p < 0.01). Kaplan−Meier curves also showed the highest incidence of MI, death, and MACCE in patients with major ECG abnormality. Multivariable Cox regression analysis revealed age, sex, diabetes, CKD stage, hsCRP, antipsychotic use, and major ECG abnormality as independent risk predictors for MACCE (adjusted HR of major ECG abnormality: 1.39, 95% CI: 1.09−1.76, p < 01). Among the detailed ECG diagnoses, sinus tachycardia, myocardial ischemia, atrial premature complex, and right axis deviation were proposed as important ECG diagnoses. The accuracy of cardiovascular risk stratification was improved when the ECG results were added to the conventional SCORE model (net reclassification index 0.07). ECG helps to predict future cerebrocardiovascular events in CKD patients. ECG diagnosis can be useful for cardiovascular risk evaluation in CKD patients when applied in addition to the conventional risk stratification model.

Development and Validation of 3-Year Atrial Fibrillation Prediction Models Using Electronic Health Record With or Without Standardized Electrocardiogram Diagnosis and a Performance Comparison Among Models.

Background Improved prediction of atrial fibrillation (AF) may allow for earlier interventions for stroke prevention, as well as mortality and morbidity from other AF-related complications. We developed a clinically feasible and accurate AF prediction model using electronic health records and computerized ECG interpretation. Methods and Results A total of 671 318 patients were screened from 3 tertiary hospitals. After careful exclusion of cases with missing values and a prior AF diagnosis, AF prediction models were developed from the derivation cohort of 25 584 patients without AF at baseline. In the internal/external validation cohort of 117 523 patients, the model using 6 clinical features and 5 ECG diagnoses showed the highest performance for 3-year new-onset AF prediction (C-statistic, 0.796 [95% CI, 0.785-0.806]). A more simplified model using age, sex, and 5 ECG diagnoses (atrioventricular block, fusion beats, marked sinus arrhythmia, supraventricular premature complex, and wide QRS complex) had comparable predictive power (C-statistic, 0.777 [95% CI, 0.766-0.788]). The simplified model showed a similar or better predictive performance than the previous models. In the subgroup analysis, the models performed relatively better in patients without risk factors. Specifically, the predictive power was lower in patients with heart failure or decreased renal function. Conclusions Although the 3-year AF prediction model using both clinical and ECG variables showed the highest performance, the simplified model using age, sex, and 5 ECG diagnoses also had a comparable prediction power with broad applicability for incident AF.

Clinical effectiveness and safety of amlodipine/losartan-based single-pill combination therapy in patients with hypertension: Findings from real-world, multicenter observational databases.

Various single-pill combinations (SPCs) have been introduced to improve drug compliance and clinical efficacy. However, there is a lack of real-world evidence regarding the effectiveness of these SPCs for hypertension. This study evaluated the real-world clinical efficacy and safety of amlodipine/losartan-based SPC therapies in patients with hypertension in a real-world setting. A total of 15 538 patients treated with amlodipine/losartan-based SPCs [amlodipine + losartan (AL), amlodipine + losartan + rosuvastatin (ALR), and amlodipine + losartan + chlorthalidone (ALC)] were selected from the database of three tertiary hospitals in Korea. The efficacy endpoints were target blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) achievement rates. Safety was evaluated based on laboratory parameters. Drug adherence was defined as the proportion of medication days covered (PDC). The target BP attainment rate was above 90% and was similar among the three groups. Although many patients in the AL and ALC groups took statins, the target LDL-C attainment rate was significantly higher in the ALR group than in the AL and ALC groups. Safety endpoints were not significantly different among the groups, except serum uric acid level and incidence rate of new-onset hyperuricemia, which were significantly lower in the AL and ALR groups than in the ALC group. The PDC was > 90% in all groups. In the real-world hypertensive patients, amlodipine/losartan-based SPC therapy demonstrated good target BP achievement rates. Especially, rosuvastatin-combination SPC showed better target LDL-C goal achievement rate compared to the other SPCs. All three amlodipine/losartan-based SPC had excellent drug adherence.

Impact of antibiotic usage on extended-spectrum ß-lactamase producing Escherichia coli prevalence.

An increase in antibiotic usage is considered to contribute to the emergence of antimicrobial resistance. Although experts are counting on the antimicrobial stewardship programs to reduce antibiotic usage, their effect remains uncertain. In this study, we aimed to evaluate the impact of antibiotic usage and forecast the prevalence of hospital-acquired extended spectrum ß-lactamase (ESBL)-producing Escherichia coli (E. coli) using time-series analysis. Antimicrobial culture information of E. coli was obtained using a text processing technique that helped extract free-text electronic health records from standardized data. The antimicrobial use density (AUD) of antibiotics of interest was used to estimate the quarterly antibiotic usage. Transfer function model was applied to forecast relationship between antibiotic usage and ESBL-producing E. coli. Of the 1938 hospital-acquired isolates, 831 isolates (42.9%) were ESBL-producing E. coli. Both the proportion of ESBL-producing E. coli and AUD increased over time. The transfer model predicted that ciprofloxacin AUD is related to the proportion of ESBL-producing E. coli two quarters later. In conclusion, excessive use of antibiotics was shown to affect the prevalence of resistant organisms in the future. Therefore, the control of antibiotics with antimicrobial stewardship programs should be considered to restrict antimicrobial resistance.

A Word Pair Dataset for Semantic Similarity and Relatedness in Korean Medical Vocabulary: Reference Development and Validation.

BACKGROUND: The fact that medical terms require special expertise and are becoming increasingly complex makes it difficult to employ natural language processing techniques in medical informatics. Several human-validated reference standards for medical terms have been developed to evaluate word embedding models using the semantic similarity and relatedness of medical word pairs. However, there are very few reference standards in non-English languages. In addition, because the existing reference standards were developed a long time ago, there is a need to develop an updated standard to represent recent findings in medical sciences. OBJECTIVE: We propose a new Korean word pair reference set to verify embedding models. METHODS: From January 2010 to December 2020, 518 medical textbooks, 72,844 health information news, and 15,698 medical research articles were collected, and the top 10,000 medical terms were selected to develop medical word pairs. Attending physicians (n=16) participated in the verification of the developed set with 607 word pairs. RESULTS: The proportion of word pairs answered by all participants was 90.8% (551/607) for the similarity task and 86.5% (525/605) for the relatedness task. The similarity and relatedness of the word pair showed a high correlation (ρ=0.70, P<.001). The intraclass correlation coefficients to assess the interrater agreements of the word pair sets were 0.47 on the similarity task and 0.53 on the relatedness task. The final reference standard was 604 word pairs for the similarity task and 599 word pairs for relatedness, excluding word pairs with answers corresponding to outliers and word pairs that were answered by less than 50% of all the respondents. When FastText models were applied to the final reference standard word pair sets, the embedding models learning medical documents had a higher correlation between the calculated cosine similarity scores compared to human-judged similarity and relatedness scores (namu, ρ=0.12 vs with medical text for the similarity task, ρ=0.47; namu, ρ=0.02 vs with medical text for the relatedness task, ρ=0.30). CONCLUSIONS: Korean medical word pair reference standard sets for semantic similarity and relatedness were developed based on medical documents from the past 10 years. It is expected that our word pair reference sets will be actively utilized in the development of medical and multilingual natural language processing technology in the future.

Cardiovascular and Bleeding Risks Associated With Nonsteroidal Anti-Inflammatory Drugs After Myocardial Infarction.

BACKGROUND: Limited data are available regarding the risk for adverse clinical events with concomitant nonsteroidal anti-inflammatory drug (NSAID) treatment after myocardial infarction (MI). OBJECTIVES: The aim of this study was to investigate the risk for cardiovascular and bleeding events according to groups of antithrombotic medications and subtypes of NSAIDs in patients with MI. METHODS: This was a nationwide cohort study to enroll a study population from the Health Insurance Review and Assessment Service database in Korea between 2009 and 2013. Patients were divided into groups on the basis of the prescribed antithrombotic medications. The primary and secondary outcomes were thromboembolic cardiovascular and clinically relevant bleeding events. The risk for adverse clinical events was assessed by ongoing NSAID treatment and subtypes of NSAIDs. RESULTS: In total, 108,232 patients (mean age 64.2 ± 12.8 years, 72.1% men, mean follow-up duration 2.3 ± 1.8 years) with first diagnosed MI were enrolled. Concomitant NSAID treatment significantly increased the risk for cardiovascular events (hazard ratio [HR]: 6.96; 95% confidence interval [CI]: 6.24 to 6.77; p < 0.001) and bleeding events (HR: 4.08; 95% CI: 3.51 to 4.73; p < 0.001) compared with no NSAID treatment. Among NSAID subtypes, the risk for cardiovascular and bleeding events was lowest with the use of celecoxib (HR: 4.65; 95% CI: 3.17 to 6.82; p < 0.001, and 3.44; 95% CI: 2.20 to 5.39; p < 0.001, respectively) and meloxicam (HR: 3.03; 95% CI: 1.68 to 5.47; p < 0.001, and 2.80; 95% CI: 1.40 to 5.60; p < 0.001, respectively). CONCLUSIONS: Concomitant NSAID treatment significantly increased the risk for cardiovascular and bleeding events after MI. Although NSAID treatment should be avoided after MI, celecoxib and meloxicam could be considered as alternative options in cases in which NSAID use is unavoidable.

Induced pluripotent stem cells for modeling of pediatric neurological disorders.

The pathophysiological mechanisms underlying childhood neurological disorders have remained obscure due to a lack of suitable disease models reflecting human pathogenesis. Using induced pluripotent stem cell (iPSC) technology, various neurological disorders can now be extensively modeled. Specifically, iPSC technology has aided the study and treatment of early-onset pediatric neurodegenerative diseases such as Rett syndrome, Down syndrome, Angelman syndrome. Prader-Willi syndrome, Friedreich's ataxia, spinal muscular atrophy (SMA), fragile X syndrome, X-linked adrenoleukodystrophy (ALD), and SCN1A gene-related epilepsies. In this paper, we provide an overview of various gene delivery systems for generating iPSCs, the current state of modeling early-onset neurological disorders and the ultimate application of these in vitro models in cell therapy through the correction of disease-specific mutations.