Impact of proton pump inhibitor use on clinical outcomes in East Asian patients receiving clopidogrel following drug-eluting stent implantation.

BACKGROUND: Concomitant use of clopidogrel and proton pump inhibitor (PPI) is common, but PPI may reduce the antiplatelet effects of clopidogrel in patients undergoing percutaneous coronary intervention (PCI). We evaluated the impact of PPI use on clinical outcomes in post-PCI patients, by incorporating P2Y12 reaction unit (PRU) and CYP2C19 genotyping results. METHODS: From a multicenter registry of patients who underwent PCI with drug-eluting stent implantation and received clopidogrel-based dual antiplatelet therapy (DAPT), patients who were prescribed a PPI at the time of PCI (PPI users) were compared to those who were not (non-users). The primary outcome included all-cause death, myocardial infarction, stent thrombosis, or cerebrovascular accident at 12 months. Major bleeding (Bleeding Academic Research Consortium [BARC] types 3-5) and gastrointestinal (GI) bleeding (BARC types 3-5) were important secondary outcomes. The adjusted outcomes were compared using a 1:1 propensity-score (PS) matching and competing risk analysis. RESULTS: Of 13,160 patients, 2,235 (17.0%) were prescribed PPI, with an average age of 65.4 years. PPI users had higher on-treatment PRU levels than non-users. After PS matching, the primary outcome occurred in 51 patients who were PPI users (cumulative incidence, 4.7%) and 41 patients who were non-users (cumulative incidence, 3.7%; log-rank p = 0.27). In carriers of both CYP2C19 loss-of-function alleles, PPI use was linked to an increased risk of the primary outcome (hazard ratio, 3.22; 95% confidence interval, 1.18-8.78). The incidence of major bleeding and GI bleeding (BARC types 3-5) was comparable between PPI users and non-users in the PS-matched cohort. CONCLUSIONS: In post-PCI patients receiving clopidogrel-based DAPT, PPI use was not linked to an increased risk of adverse cardiac and cerebrovascular events, but there was a small but significant increase in on-treatment PRU. Future research using a more individualized approach would further elucidate these interactions and guide evidence-based clinical practices.

Prognostic Implication of Platelet Reactivity According to Left Ventricular Systolic Dysfunction Status in Patients Treated With Drug-Eluting Stent Implantation: Analysis of the PTRG-DES Consortium.

BACKGROUND: Coronary artery disease patients undergoing percutaneous coronary intervention (PCI) often exhibit reduced left ventricular ejection fraction (LVEF). However, the impact of LV dysfunction status in conjunction with platelet reactivity on clinical outcomes has not been previously investigated. METHODS: From the multicenter PTRG-DES (Platelet function and genoType-Related long-term prognosis in DES-treated patients) consortium, the patients were classified as preserved-EF (PEF: LVEF ≥ 50%) and reduced-EF (REF: LVEF< 5 0%) group by echocardiography. Platelet reactivity was measured using VerifyNow P2Y12 assay and high platelet reactivity (HPR) was defined as PRU ≥ 252. The major adverse cardiac and cerebrovascular events (MACCEs) were a composite of death, myocardial infarction, stent thrombosis and stroke at 5 years after PCI. Major bleeding was defined as Bleeding Academic Research Consortium bleeding types 3-5. RESULTS: A total of 13,160 patients from PTRG-DES, 9,319 (79.6%) patients with the results of both PRU and LVEF were analyzed. The incidence of MACCE and major bleeding was higher in REF group as compared with PEF group (MACCEs: hazard ratio [HR] 2.17, P < 0.001, 95% confidence interval [CI] 1.85-2.55; major bleeding: HR 1.78, P < 0.001, 95% CI 1.39-2.78). The highest rate of MACCEs was found in patients with REF and HPR, and the difference between the groups was statistically significant (HR 3.14 in REF(+)/HPR(+) vs. PEF(+)/HPR(-) group, P < 0.01, 95% CI 2.51-3.91). The frequency of major bleeding was not associated with the HPR in either group. CONCLUSION: LV dysfunction was associated with an increased incidence of MACCEs and major bleeding in patients who underwent PCI. The HPR status further exhibited significant increase of MACCEs in patients with LV dysfunction in a large, real-world registry. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04734028.

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.

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.

The Use of Coronary Imaging for Predicting Future Cardiovascular Events.

Background: Despite advancements in coronary artery disease (CAD) treatment with drug-eluting stent, its morbidity and mortality remain high. In context, intravascular imaging-guided percutaneous coronary intervention (PCI) is increasingly recommended for better clinical outcomes in patient with CAD. Near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS), as one of the intravascular imaging methods, is effective in detecting lipid-rich plaques, which is crucial for identifying high-risk or vulnerable plaques employing near-infrared light. High lipid core burden, as identified by NIRS-IVUS, correlates with an increased risk of adverse cardiac events and shows varying degrees of efficacy in plaque management and event prevention. Summary: This article addresses about how NIRS-IVUS can be used to predict event of CAD. The study highlights the crucial role of NIRS-IVUS in predicting future cardiovascular events. Findings indicate that the presence of high lipid core burden is related to increased risks of periprocedural myocardial infarction and reduced coronary flow during PCI. The study also outlines the predictive value of NIRS-IVUS in non-culprit lesions, where plaques with high lipid core burden significantly increase the occurrence of major adverse cardiac events as demonstrated in the PROSPECT II trial. In terms of therapeutic strategies, the study reviews the effectiveness of high-intensity lipid-lowering strategies in stabilizing vulnerable plaques, as evidenced in trials such as the YELLOW and PACMAN AMI trials. Key Messages: NIRS-IVUS emerges as a valuable diagnostic tool in treating CAD. It effectively identifies vulnerable plaques and aids in predicting and preventing future adverse cardiac events. However, to enhance its practicality and promote widespread adoption in clinical settings, further long-term outcome research of NIRS-IVUS-guided PCI is necessary. These efforts can potentially make NIRS-IVUS a more accessible and indispensable tool in cardiovascular disease management.

Assessing GPT-4's Performance in Delivering Medical Advice: Comparative Analysis With Human Experts.

Background: Accurate medical advice is paramount in ensuring optimal patient care, and misinformation can lead to misguided decisions with potentially detrimental health outcomes. The emergence of large language models (LLMs) such as OpenAI's GPT-4 has spurred interest in their potential health care applications, particularly in automated medical consultation. Yet, rigorous investigations comparing their performance to human experts remain sparse. Objective: This study aims to compare the medical accuracy of GPT-4 with human experts in providing medical advice using real-world user-generated queries, with a specific focus on cardiology. It also sought to analyze the performance of GPT-4 and human experts in specific question categories, including drug or medication information and preliminary diagnoses. Methods: We collected 251 pairs of cardiology-specific questions from general users and answers from human experts via an internet portal. GPT-4 was tasked with generating responses to the same questions. Three independent cardiologists (SL, JHK, and JJC) evaluated the answers provided by both human experts and GPT-4. Using a computer interface, each evaluator compared the pairs and determined which answer was superior, and they quantitatively measured the clarity and complexity of the questions as well as the accuracy and appropriateness of the responses, applying a 3-tiered grading scale (low, medium, and high). Furthermore, a linguistic analysis was conducted to compare the length and vocabulary diversity of the responses using word count and type-token ratio. Results: GPT-4 and human experts displayed comparable efficacy in medical accuracy ("GPT-4 is better" at 132/251, 52.6% vs "Human expert is better" at 119/251, 47.4%). In accuracy level categorization, humans had more high-accuracy responses than GPT-4 (50/237, 21.1% vs 30/238, 12.6%) but also a greater proportion of low-accuracy responses (11/237, 4.6% vs 1/238, 0.4%; P=.001). GPT-4 responses were generally longer and used a less diverse vocabulary than those of human experts, potentially enhancing their comprehensibility for general users (sentence count: mean 10.9, SD 4.2 vs mean 5.9, SD 3.7; P<.001; type-token ratio: mean 0.69, SD 0.07 vs mean 0.79, SD 0.09; P<.001). Nevertheless, human experts outperformed GPT-4 in specific question categories, notably those related to drug or medication information and preliminary diagnoses. These findings highlight the limitations of GPT-4 in providing advice based on clinical experience. Conclusions: GPT-4 has shown promising potential in automated medical consultation, with comparable medical accuracy to human experts. However, challenges remain particularly in the realm of nuanced clinical judgment. Future improvements in LLMs may require the integration of specific clinical reasoning pathways and regulatory oversight for safe use. Further research is needed to understand the full potential of LLMs across various medical specialties and conditions.

Financial Benefits of Renal Dose-Adjusted Dipeptidyl Peptidase-4 Inhibitors for Patients with Type 2 Diabetes and Chronic Kidney Disease.

Background: Dipeptidyl peptidase-4 (DPP4) inhibitors are frequently prescribed for patients with type 2 diabetes; however, their cost can pose a significant barrier for those with impaired kidney function. This study aimed to estimate the economic benefits of substituting non-renal dose-adjusted (NRDA) DPP4 inhibitors with renal dose-adjusted (RDA) DPP4 inhibitors in patients with both impaired kidney function and type 2 diabetes. Methods: This retrospective cohort study was conducted from January 1, 2012 to December 31, 2018, using data obtained from common data models of five medical centers in Korea. Model 1 applied the prescription pattern of participants with preserved kidney function to those with impaired kidney function. In contrast, model 2 replaced all NRDA DPP4 inhibitors with RDA DPP4 inhibitors, adjusting the doses of RDA DPP4 inhibitors based on individual kidney function. The primary outcome was the cost difference between the two models. Results: In total, 67,964,996 prescription records were analyzed. NRDA DPP4 inhibitors were more frequently prescribed to patients with impaired kidney function than in those with preserved kidney function (25.7%, 51.3%, 64.3%, and 71.6% in patients with estimated glomerular filtration rates [eGFRs] of ≥60, <60, <45, and <30 mL/min/1.73 m2, respectively). When model 1 was applied, the cost savings per year were 7.6% for eGFR <60 mL/min/1.73 m2 and 30.4% for eGFR <30 mL/min/1.73 m2. According to model 2, 15.4% to 51.2% per year could be saved depending on kidney impairment severity. Conclusion: Adjusting the doses of RDA DPP4 inhibitors based on individual kidney function could alleviate the economic burden associated with medical expenses.

Inter hospital external validation of interpretable machine learning based triage score for the emergency department using common data model.

Emergency departments (ED) are complex, triage is a main task in the ED to prioritize patient with limited medical resources who need them most. Machine learning (ML) based ED triage tool, Score for Emergency Risk Prediction (SERP), was previously developed using an interpretable ML framework with single center. We aimed to develop SERP with 3 Korean multicenter cohorts based on common data model (CDM) without data sharing and compare performance with inter-hospital validation design. This retrospective cohort study included all adult emergency visit patients of 3 hospitals in Korea from 2016 to 2017. We adopted CDM for the standardized multicenter research. The outcome of interest was 2-day mortality after the patients' ED visit. We developed each hospital SERP using interpretable ML framework and validated inter-hospital wisely. We accessed the performance of each hospital's score based on some metrics considering data imbalance strategy. The study population for each hospital included 87,670, 83,363 and 54,423 ED visits from 2016 to 2017. The 2-day mortality rate were 0.51%, 0.56% and 0.65%. Validation results showed accurate for inter hospital validation which has at least AUROC of 0.899 (0.858-0.940). We developed multicenter based Interpretable ML model using CDM for 2-day mortality prediction and executed Inter-hospital external validation which showed enough high accuracy.

Prognostic Implication of Platelet Reactivity According to Procedural Complexity After PCI: Subanalysis of PTRG-DES Consortium.

Background: Complex percutaneous coronary intervention (C-PCI) and high platelet reactivity (HPR) have been proposed as representative risk factors for the high ischemic phenotype. Uncertainty remains regarding the relative prognostic importance of these factors. Objectives: This study aimed to investigate the prognostic implication of HPR according to procedural complexity. Methods: Patients treated with drug-eluting stent implantation (PTRG-PFT cohort; N = 11,714) were classified according to procedural complexity. HPR criteria were determined using VerifyNow (≥252 P2Y12 reaction units). The major adverse cardiac and cerebrovascular events (MACCE) (the composite of all-cause death, myocardial infarction, definite stent thrombosis, or stroke) and major bleeding were assessed for up to 3 years. Results: C-PCI was performed in 3,152 patients (26.9%). C-PCI significantly increased the risk of MACCE (HRadjusted: 1.21; 95% CI: 1.01-1.44; P = 0.035), driven by a higher rate of all-cause death (HRadjusted: 1.45; 95% CI: 1.15-1.83; P = 0.002), although it did not increase the risk of major bleeding. Irrespective of procedural complexity, the HPR phenotype was significantly associated with MACCE (Pinteraction = 0.731) and all-cause mortality (Pinteraction = 0.978), in which the prognostic implication appeared prominent within 1 year. The HPR phenotype did not show a significant interaction with any type of C-PCI. In addition, the number of complexity features per procedure did not proportionally increase the risk of MACCE. Conclusions: C-PCI was significantly associated with 3-year risk of MACCE and all-cause death. The HPR phenotype appears to have a similar prognostic implication irrespective of the type and extent of procedural complexity. (Platelet Function and Genotype-Related Long-Term Prognosis in DES-Treated Patients [PTRG-DES]; NCT04734028).

Prediction of In-Hospital Mortality for Ischemic Cardiogenic Shock Requiring Venoarterial Extracorporeal Membrane Oxygenation.

BACKGROUND: Clinical outcome of ischemic cardiogenic shock (CS) requiring extracorporeal membrane oxygenation is highly variable, necessitating appropriate assessment of prognosis. However, a systemic predictive model estimating the mortality of refractory ischemic CS is lacking. The PRECISE (Prediction of In-Hospital Mortality for Patients With Refractory Ischemic Cardiogenic Shock Requiring Veno-Arterial Extracorporeal Membrane Oxygenation Support) score was developed to predict the prognosis of refractory ischemic CS due to acute myocardial infarction. METHODS AND RESULTS: Data were obtained from the multicenter CS registry RESCUE (Retrospective and Prospective Observational Study to Investigate Clinical Outcomes and Efficacy of Left Ventricular Assist Device for Korean Patients With Cardiogenic Shock) that consists of 322 patients with acute myocardial infarction complicated by refractory ischemic CS requiring extracorporeal membrane oxygenation support. Fifteen parameters were selected to assess in-hospital mortality. The developed model was validated internally and externally using an independent external cohort (n=138). Among 322 patients, 138 (42.9%) survived postdischarge. Fifteen predictors were included for model development: age, diastolic blood pressure, hypertension, chronic kidney disease, peak lactic acid, serum creatinine, lowest left ventricular ejection fraction, vasoactive inotropic score, shock to extracorporeal membrane oxygenation insertion time, extracorporeal cardiopulmonary resuscitation, use of intra-aortic balloon pump, continuous renal replacement therapy, mechanical ventilator, successful coronary revascularization, and staged percutaneous coronary intervention. The PRECISE score yielded a high area under the receiver-operating characteristic curve (0.894 [95% CI, 0.860-0.927]). External validation and calibration resulted in competent sensitivity (area under the receiver-operating characteristic curve, 0.895 [95% CI, 0.853-0.930]). CONCLUSIONS: The PRECISE score demonstrated high predictive performance and directly translates into the expected in-hospital mortality rate. The PRECISE score may be used to support clinical decision-making in ischemic CS (www.theprecisescore.com). REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02985008.

High platelet reactivity strongly predicts early stent thrombosis in patients with drug-eluting stent implantation.

Stent thrombosis (ST) is a fatal complication after percutaneous coronary intervention (PCI). The association between P2Y12 reaction unit (PRU) level and stent thrombosis occurrence remains unclear. Based on the multicenter, observational PTRG-DES (Platelet function and genoType-Related long-term proGnosis in DES-treated patients) registry of patients with drug-eluting stents (DES) implantation, a total of 11,714 patients with PRU values were analyzed. We sought to identify the predictors of early stent thrombosis (EST) and compared the primary outcome, a composite of cardiac death, myocardial infarction, and revascularization, between EST and non-EST groups. EST, defined as definite ST within 1 month after index PCI, occurred in 51 patients. PRU values were significantly higher in the EST group (263.5 ± 70.8 vs. 217.5 ± 78.7, p < 0.001). In multivariable analysis, PRU ≥ 252 (OR, 5.10; 95% CI 1.58-16.46; p = 0.006) and aspirin reaction unit ≥ 414 (OR 4.85; 95% CI 1.07-21.97; p = 0.040) were independent predictors of EST. The cumulative incidence of primary composite outcome at one year was significantly higher in the EST group (38.2% vs. 3.9%, Log-rank p < 0.001). In patients treated with clopidogrel after successful DES implantation, EST was associated with higher platelet reactivities, and a greater risk of cardiovascular events.Trial Registration: clinicaltrials.gov Identifier: NCT04734028.

Different association of atherogenic index of plasma with the risk of high platelet reactivity according to the presentation of acute myocardial infarction.

This study evaluated the association of atherogenic index of plasma (AIP) with platelet reactivity and clinical outcomes according to acute myocardial infarction (AMI). The composite of 3-year adverse outcomes of all-cause death, myocardial infarction, and cerebrovascular accident was evaluated in 10,735 patients after successful percutaneous coronary intervention with drug-eluting stents. AIP was defined as the base 10 logarithm of the ratio of triglyceride to high-density lipoprotein cholesterol concentration. High platelet reactivity (HPR) was defined as ≥ 252 P2Y12 reactivity unit. An increase of AIP (per-0.1 unit) was related to the decreased risk of HPR [odds ratio (OR) 0.97, 95% confidence interval (CI) 0.96-0.99; P = 0.001] in non-AMI patients, not in AMI patients (OR 0.98, 95% CI 0.96-1.01; P = 0.138). The HPR was associated with the increased risk of composite outcomes in both non-AMI and AMI patients (all-P < 0.05). AIP levels were not independently associated with the risk of composite outcomes in both patients with non-AMI and AMI. In conclusion, an inverse association between AIP and the risk of HPR was observed in patients with non-AMI. This suggests that the association between plasma atherogenicity and platelet reactivity may play a substantial role in the development of AMI.Trial registration: NCT04734028.

Comparison of Statin With Ezetimibe Combination Therapy Versus Statin Monotherapy for Primary Prevention in Middle-Aged Adults.

BACKGROUND AND OBJECTIVES: Lipid lowering therapy is essential to reduce the risk of major cardiovascular events; however, limited evidence exists regarding the use of statin with ezetimibe as primary prevention strategy for middle-aged adults. We aimed to investigate the impact of single pill combination therapy on clinical outcomes in relatively healthy middle-aged patients when compared with statin monotherapy. METHODS: Using the Korean National Health Insurance Service database, a propensity score match analysis was performed for baseline characteristics of 92,156 patients categorized into combination therapy (n=46,078) and statin monotherapy (n=46,078) groups. Primary outcome was composite outcomes, including death, coronary artery disease, and ischemic stroke. And secondary outcome was all-cause death. The mean follow-up duration was 2.9±0.3 years. RESULTS: The 3-year composite outcomes of all-cause death, coronary artery disease, and ischemic stroke demonstrated no significant difference between the 2 groups (10.3% vs. 10.1%; hazard ratio (HR), 1.022; 95% confidence interval [CI], 0.980-1.064; p=0.309). Meanwhile, the 3-year all-cause death rate was lower in the combination therapy group than in the statin monotherapy group (0.2% vs. 0.4%; p<0.001), with a significant HR of 0.595 (95% CI, 0.460-0.769; p<0.001). Single pill combination therapy exhibited consistently lower mortality rates across various subgroups. CONCLUSIONS: Compared to the statin monotherapy, the combination therapy for primary prevention showed no difference in composite outcomes but may reduce mortality risk in relatively healthy middle-aged patients. However, since the study was observational, further randomized clinical trials are needed to confirm these findings.