Given the rapidly growing burden of cardiovascular disease (CVD) in Asia, this study forecasts the CVD burden and associated risk factors in Asia from 2025 to 2050. Data from the Global Burden of Disease 2019 study was used to construct regression models predicting prevalence, mortality, and disability-adjusted life years (DALYs) attributed to CVD and risk factors in Asia in the coming decades. Between 2025 and 2050, crude cardiovascular mortality is expected to rise 91.2% despite a 23.0% decrease in the age-standardised cardiovascular mortality rate (ASMR). Ischaemic heart disease (115 deaths per 100,000 population) and stroke (63 deaths per 100,000 population) will remain leading drivers of ASMR in 2050. Central Asia will have the highest ASMR (676 deaths per 100,000 population), more than three-fold that of Asia overall (186 deaths per 100,000 population), while high-income Asia sub-regions will incur an ASMR of 22 deaths per 100,000 in 2050. High systolic blood pressure will contribute the highest ASMR throughout Asia (105 deaths per 100,000 population), except in Central Asia where high fasting plasma glucose will dominate (546 deaths per 100,000 population). This forecast forewarns an almost doubling in crude cardiovascular mortality by 2050 in Asia, with marked heterogeneity across sub-regions. Atherosclerotic diseases will continue to dominate, while high systolic blood pressure will be the leading risk factor. This was supported by the 10.13039/501100011744 NUHS Seed Fund (NUHSRO/2022/058/RO5+6/Seed-Mar/03), 10.13039/501100001349 National Medical Research Council Research Training Fellowship (MH 095:003/008-303), 10.13039/501100001352 National University of Singapore Yong Loo Lin School of Medicine's Junior Academic Fellowship Scheme, 10.13039/501100011744 NUHS Clinician Scientist Program (NCSP2.0/2024/NUHS/NCWS) and the CArdiovascular DiseasE National Collaborative 10.13039/100005721 Enterprise (CADENCE) National Clinical Translational Program (MOH-001277-01).
Recently, coronary angiography (CAG) and percutaneous coronary intervention (PCI) via the distal radial access (DRA), are gaining attention owing to fewer complications. Despite the advantages of the DRA, there is difficulty to initiate this new vascular approach. The data from 1000 patients who underwent CAG and PCI via the DRA by a single experienced radial operator were retrospectively analyzed. The primary outcome was the success rate of the DRA per 100 cases. Moreover, the predictors of the failed DRA were analyzed. Overall, 952 (95.2%) of the total 1,000 patients underwent a successful DRA. After experiencing 200 cases, the DRA success rate was well maintained at > 94%, and there was no difference in success rate per 100 cases (Ptrend = 0.216). The predictors of failure were female sex [odds ratio (OR) 1.84, 95% confidence interval (CI) 1.01–3.39, P = 0.049] and systolic blood pressure (SBP) of < 120 mmHg (OR 1.87, 95% CI 1.04–3.36, P = 0.036). For achieving a stable DRA with the success rate of > 94%, 200 procedures would be needed. Moreover, this new approach could fail in women and patients with low SBP.Trial registration: https://cris.nih.go.kr/cris/index/index.do (Unique identifier: KCT0005349).
12 February 2024 in JACC: Cardiovascular Interventions
Background: The role of intravascular ultrasound (IVUS)‐guided percutaneous coronary intervention (PCI) is still unclear in patients with acute myocardial infarction acute myocardial infarction. This study aimed to evaluate the long‐term impact of IVUS‐guided PCI in patients with acute myocardial infarction. Methods and Results: Among a total of 13 104 patients with acute myocardial infarction, enrolled in the Korea Acute Myocardial Infarction Registry‐National Institutes of Health, we selected patients who underwent PCI with second‐generation drug‐eluting stent implantation. The primary outcome was the risk of target lesion failure at 3 years. Among the study population, 1887 patients (21.0%) underwent IVUS‐guidance, and 7120 patients (79.0%) underwent angiography‐guidance for second‐generation drug‐eluting stent implantation. IVUS‐guided PCI was associated with a significantly lower risk of target lesion failure at 3 years (4.8% versus 8.0%; hazard ratio [HR], 0.59; 95% CI, 0.47 to 0.73; P <0.001) compared with angiography‐guided PCI. The difference was driven mainly by a lower risk of cardiac death and target vessel myocardial infarction. The results were consistent after confounder adjustment by multiple sensitivity analyses. Moreover, quartile analysis of volume of IVUS use showed that higher IVUS use was associated with a decreased risk of 3‐year target lesion failure (adjusted HR, 0.58; 95% CI, 0.45 to 0.75; P <0.001 for quartile 1 versus 4; P <0.001 for trend comparison across all quartiles). Conclusions: In patients with acute myocardial infarction who underwent PCI with second‐generation drug‐eluting stent implantation, the use of IVUS guidance was associated with a significant reduction in 3‐year target lesion failure, mainly driven by hard end points, such as cardiac death and target vessel myocardial infarction.
31 October 2024 in JACC: Cardiovascular Interventions
Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor. This study aimed to evaluate the efficacy of AI-QCA-assisted percutaneous coronary intervention (PCI) compared to optical coherence tomography (OCT)-guided PCI in terms of post-PCI results. This trial enrolled 400 patients with significant coronary artery disease undergoing PCI from 13 participating centers in South Korea. Patients were randomized in a 1:1 ratio to either AI-QCA-assisted or OCT-guided PCI. The primary endpoint was the post-PCI minimal stent area (MSA) assessed by OCT. The noninferiority of AI-QCA-assisted PCI to OCT-guided PCI regarding the post-PCI MSA was tested with a noninferiority margin of 0.8 mm2. A total of 395 patients (199 in the AI-QCA group and 196 in the OCT group) were included in the primary endpoint analysis. The post-PCI MSA was 6.3 ± 2.2 mm2 in the AI-QCA group and 6.2 ± 2.2 mm2 in the OCT group (difference, -0.16; 95% CI: -0.59 to 0.28; P for noninferiority < 0.001). Other OCT-defined endpoints, such as stent underexpansion (50.8% [101/199] vs 54.6% [107/196]; P = 0.48), dissection (15.6% [31/199] vs 12.8% [25/196]; P = 0.42), and untreated reference segment disease (15.1% [30/199] vs 13.3% [26/196]; P = 0.61), were not significantly different between groups, except for a higher incidence of stent malapposition in the AI-QCA group (13.6% [27/199] vs 5.6 [11/196]; P = 0.007). This study demonstrated the noninferiority of AI-QCA-assisted PCI to OCT-guided PCI in achieving MSA with comparable OCT-defined endpoints. (Fully Automated Quantitative Coronary Angiography Versus Optical Coherence Tomography Guidance for Coronary Stent Implantation [FLASH]; NCT05388357).