Comparative efficacy and choice of lipid-lowering drugs for cardiovascular and kidney outcomes in patients with chronic kidney disease: A systematic review and network meta-analysis.

BACKGROUND: The effect of exact classes of lipid-lowering drugs (LLDs) on preventing major adverse cardiovascular events (MACEs) and poor renal outcomes is not well characterized in the chronic kidney disease (CKD) population. METHODS: We performed a frequentist random-effects network meta-analysis of randomized controlled trials (RCTs) to evaluate the protective effect of the LLDs in non-dialysis CKD patients. The PubMed, Embase, Web of Science, and Cochrane Library databases were systematically searched for relevant trials published before March 31, 2024. The primary outcome was the incidence of MACEs. The secondary outcomes comprised all-cause mortality, end-stage kidney disease, changes in estimated glomerular filtration rate (eGFR) and proteinuria, and safety. RESULTS: Forty-nine eligible RCTs with 77,826 participants with non-dialysis CKD were included. With moderate confidence in the evidence, rosuvastatin and atorvastatin showed statistically significantly more efficacy in reducing the risk of MACE, with a pooled risk ratio of 0.55 (95% CI 0.33-0.91) for rosuvastatin and 0.67 (0.49-0.90) for atorvastatin, respectively, compared with the control group. For the change in the eGFR, atorvastatin (mean difference [MD], 1.40; 95% CI, 0.61 to 2.18), rosuvastatin (MD, 1.73; 95% CI, 0.63 to 2.83), and statin plus ezetimibe (MD, 2.35; 95% CI, 0.44 to 4.26) showed statistically significant increases in the mean eGFR. CONCLUSION: In patients with non-dialysis CKD, there is sufficient evidence to show that rosuvastatin and atorvastatin were statistically significantly more effective and preferable in reducing the risk of MACE and increasing the mean eGFR compared with the control group.

Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT.

RATIONALE AND OBJECTIVES: Coronary CT angiography (CCTA) is mandatory before transcatheter aortic valve replacement (TAVR). Our objective was to evaluate the efficacy of artificial intelligence (AI)-powered software in automatically analyzing cardiac parameters from pre-procedural CCTA to predict major adverse cardiovascular events (MACE) in TAVR patients. MATERIALS AND METHODS: Patients undergoing pre-TAVR CCTA were retrospectively included. AI software automatically extracted 34 morphologic and volumetric cardiac parameters characterizing the ventricles, atria, myocardium, and epicardial adipose tissue. Clinical information and outcomes were recorded from institutional database. Cox regression analysis identified predictors of MACE, including non-fatal myocardial infarction, heart failure hospitalization, unstable angina, and cardiac death. Model performance was evaluated with Harrell's C-index, and nested models were compared using the likelihood ratio test. Manual analysis of 170 patients assessed agreement with automated measurements. RESULTS: Among the 648 enrolled patients (77 ± 9.3 years, 58.9% men), 116 (17.9%) experienced MACE within a median follow-up of 24 months (interquartile range 10-40). After adjusting for clinical parameters, only left ventricle long axis shortening (LV-LAS) was an independent predictor of MACE (hazard ratio [HR], 1.05 [95% confidence interval, 1.05-1.11]; p = 0.04), with significantly improved C-index (0.620 vs. 0.633; p < 0.001). When adjusted for the Society of Thoracic Surgeons Predicted Risk of Mortality score, LV-LAS was also predictive of MACE (HR, 1.08 [95%CI, 1.03-1.13]; p = 0.002), while improving model performance (C-index: 0.557 vs. 0.598; p < 0.001). All parameters showed good or excellent agreement with manual measurements. CONCLUSION: Automated AI-based comprehensive cardiac assessment enables pre-TAVR MACE prediction, with LV-LAS outperforming all other parameters.

White blood cell counts can predict 4-year cardiovascular disease risk in patients with stable coronary heart disease: a prospective cohort study.

Background: The prevalence of cardiovascular disease has increased sharply in the Asian population, and evaluation of the risk of cardiovascular events with stable coronary heart disease remains challenging. The role of white blood cell (WBC) count in assisting clinical decision-making in this setting is still unclear. Objectives: This study sought to evaluate the prognostic meaning of WBC count among patients with stable coronary heart disease. Methods: This study included Asian participants (n = 1,933) from the prospective STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) trial, which involved 15,828 patients with stable coronary heart disease with 3-5 years of follow-up on optimal secondary preventive treatment. WBC count was measured at baseline. Associations between WBC count and cardiovascular outcomes were evaluated by Cox regression analyses with multivariable adjustments. Hematologic emergencies in patients may introduce potential bias. Results: In the lower WBC count quartiles, patients had lower-risk clinical profiles. Higher WBC counts were associated with greater event probabilities for cardiovascular death, major cardiovascular events, or all-cause death. In Cox regression models, WBC counts were an independent predictor of major adverse cardiovascular events (OR = 2.445, 95% CI 1.427-4.190, P = 0.001) for the primary outcomes. For the secondary outcomes, including the composite of all-cause death, cardiovascular death, myocardial infarction, stroke, and hospitalization for heart failure, WBC counts were significantly predictive of events with similar magnitude (OR = 1.716, 95% CI 1.169-2.521, P = 0.006). Conclusions: In patients with stable coronary heart disease, higher WBC counts were associated with a heightened risk for the primary or secondary outcomes. Registration: https://clinicaltrials.gov/; Unique identifier NCT00799903.

Influence of Metformin Discontinuation on Readmission Rate in Patients With Acute Heart Failure.

Background: The consequences of discontinuing metformin in patients with heart failure have not been determined. Knowing that acute exacerbation of chronic heart failure contributes to substantial increases in major adverse cardiovascular events (MACE), we proposed a retrospective study to examine whether discontinuing metformin in patients hospitalized with heart failure impacts mortality and readmission rates. Methods: We conducted a retrospective analysis of patients admitted with a diagnosis of acute heart failure to hospitals in the HCA Healthcare System from 2020 to 2022. Included patients had a prior diagnosis of diabetes mellitus, acute heart failure, and were taking metformin prior to admission. After applying our exclusion criteria, a total of 7740 patients remained. The primary outcomes were 30-, 60-, and 90-day readmission rates and secondary outcomes were mortality and length of stay. Results: Patients who were discharged without a prescription for metformin (NONDIS-MET) were 4.489 (95% CI 3.673-5.488, p < 0.0001) times more likely to have a MACE outcome in 30 days compared to patients who received a discharge order for metformin (DIS-MET). The findings were similar for 60-day and 90-day readmission rates, with NONDIS-MET patients 3.457 (95% CI 2.893-4.131, p < 0.0001) and 2.992 (95% CI 2.534-3.533 p < 0.0001) times more likely to have a MACE outcome than MET patients, respectively. However, when metformin was continued during the patients' hospital stay (CONT-MET) there was no significant association with MACE outcomes, readmission, or mortality rates. Conclusion: We found that diabetic patients admitted with acute heart failure exacerbations had a higher incidence of major adverse cardiac events and were more likely to be readmitted when they were not prescribed metformin after discharge. Our findings agree with prior work showing the cardioprotective effects of metformin; however, continuing metformin during hospital admission did not affect our patients adverse outcomes.

Finerenone's Impact on Major Adverse Cardiovascular Events in Chronic Kidney Disease and Type 2 Diabetes Mellitus: A Systematic Review.

Chronic kidney disease (CKD) impacts about 10% of adults globally and substantially elevates the risk of major adverse cardiovascular events (MACE), such as heart attacks, strokes, cardiovascular-related deaths, and hospital admissions due to heart failure. The interplay between CKD and cardiovascular disease (CVD) leads to poor health outcomes. Nevertheless, there is a scarcity of systematic reviews focusing on the effectiveness of finerenone, a new non-steroidal mineralocorticoid receptor antagonist (MRA), in lowering these risks. In this systematic review, we aim to evaluate the impact of finerenone on reducing MACE in individuals with CKD and type 2 diabetes mellitus (T2DM). CKD pathophysiology involves hyperglycemia, hypertension, and dyslipidemia, leading to glomerular hyperfiltration, inflammation, and fibrosis. Traditional treatments, including angiotensin-converting enzyme inhibitors (ACEi), angiotensin II receptor blockers (ARBs), and sodium-glucose cotransporter-2 inhibitors (SGLT2i), often fall short in preventing cardiovascular events. Steroidal MRAs like spironolactone and eplerenone, while effective in reducing proteinuria, are limited by hyperkalemia risks. Finerenone offers a more selective mechanism, reducing sodium retention, inflammation, and fibrosis, with a lower risk of hyperkalemia. We searched five electronic databases comprehensively, identifying studies consistently demonstrating that finerenone significantly reduces MACE and improves renal outcomes by reducing albuminuria and slowing the fall in estimated glomerular filtration rate (eGFR). However, limitations include study heterogeneity, short follow-up periods, and potential publication bias. In conclusion, finerenone shows promise as a therapeutic option for CKD and T2DM, reducing MACE and improving renal outcomes. Further research is needed to understand its long-term benefits and safety across diverse populations.

No Increased Risk of Major Adverse Cardiovascular Events following Nicotinamide Exposure.

IMPORTANCE: Nicotinamide metabolites have recently been implicated in increased risk of major cardiovascular events (MACE). Supportive data about clinical risk of MACE for nicotinamide users is lacking. OBJECTIVE: To determine whether nicotinamide use results in an increase of MACE. DESIGN SETTING PARTICIPANTS: Retrospective cohort study of two patient cohorts, Vanderbilt University Medical Center (VUMC) and Military Veteran Program (MVP). The risk of MACE in patients exposed to nicotinamide was compared to the risk of MACE in unexposed patients. In the VUMC cohort, 1228 patients were exposed to nicotinamide based on keyword entry for "nicotinamide" or "niacinamide" and hand-review of charts, while 253 were unexposed but had documented recommendation for use. In the MVP cohort, there were 1594 with exposure to nicotinamide propensity score matched to 2694 without exposure. EXPOSURES: The primary exposure for the VUMC cohort was a confirmed exposure to nicotinamide in chart review. The primary exposure for the MVP cohort was medication entry for "nicotinamide" or "niacinamide". MAIN OUTCOMES AND MEASURES: The primary outcome was development of MACE based on a validated phenotype. RESULTS: Between both cohorts, 6039 patients were included, of whom 5125 were male with a mean age of 63.2 years. Neither cohort had significant differences in mean age, sex, race and ethnicity between the nicotinamide exposed and unexposed groups. In the VUMC cohort, there was no significant association between nicotinamide exposure and the primary outcome of MACE (HR 0.76, 95% CI 0.46 - 1.25, p = 0.28). MACE prior to nicotinamide exposure was strongly associated with subsequent MACE (HR 9.01, 95% CI 5.90 - 13.70, p < 0.001). In the MVP cohort, we adjusted for MACE risk factors as potential confounding variables and saw no significant association between nicotinamide exposure and MACE (HR 1.00 95% CI 0.75 - 1.32), while history of prior MACE remained strongly associated with subsequent MACE (HR 9.50, 95% CI 6.38 - 14.1). CONCLUSIONS AND RELEVANCE: In this retrospective cohort study of 6039 adults from two different patient populations, we found no increased risk of MACE in patients with nicotinamide exposure.

ADVERSE EVENTS in PATIENTS with CARDIOVASCULAR DISEASE TAKING PROTON PUMP INHIBITORS.

INTRODUCTION: Proton pump inhibitors (PPIs) rank among the most frequently prescribed medications to treat acid-related diseases. Mounting concerns surround the potential for serious adverse events, including cardiovascular events, associated with their prolonged use/misuse. AREAS COVERED: This comprehensive review explores cardiovascular adverse events linked to PPI use among high-risk cardiovascular patients. A structured search was conducted on PubMed. EXPERT OPINION: Many patients with cardiovascular disease who require antiplatelet treatment will require long-term PPI treatment. Interpreting the published data is not straightforward. First, because there is no plausible mechanistic explanation for PPIs to induce cardiovascular events apart from the potential interaction with the metabolism of thienopyridines. Although several observational studies have shown an increased cardiovascular risk and mortality in patients taking long-term PPIs, most available clinical trials and meta-analyses of available studies do not. However, the absence of firm evidence of this link does not necessarily imply that this association does not exist, and other hypothesis must be explored. Anemia is a common event in patients who take antiplatelet therapy and PPIs, and it is a factor associated with cardiovascular events and death. Anemia in these patients is often attributed to erosive lesions of the small intestine, where PPI may play a key role by modifying the microbiota.

Assessing renal function as a predictor of adverse outcomes in diabetic patients undergoing percutaneous coronary intervention.

BACKGROUND: Cardiovascular diseases remain a leading cause of global mortality, particularly among diabetic patients undergoing percutaneous coronary intervention (PCI). Chronic kidney disease (CKD) poses an additional risk in this population. Yet, its specific impact on major adverse cardiovascular events (MACEs), mortality, and triple vessel disease (TVD) post-PCI remains a topic of debate, specifically in patients with type 2 diabetes mellitus (T2DM). OBJECTIVE: This study aimed to examine the impact of renal function on MACE, mortality, and TVD among diabetic patients undergoing PCI. METHODS: Diabetic patients undergoing PCI were analysed for renal function and outcomes. Participants were stratified by glomerular filtration rate (GFR). Logistic regression and receiver operating characteristic (ROC) analysis assessed associations and predictive capabilities. RESULTS: A total of 505 patients enrolled in the study. A significant difference was observed regarding age, creatinine levels, and number of culprit vessels between diabetics with and without CKD. Severe CKD was associated with higher odds of 1-month mortality (OR: 15.694, p value <.001), 1-month MACE (OR: 7.734, p value <.001), and TVD (OR: 3.740, p value <.001). Patients with severe CKD also had significantly higher odds of 6-months mortality (OR: 12.192, p value <.001) and 6-months MACE (OR: 3.848, p value: .001). Moreover, GFR showed significant predictive accuracy for mortality at one- and six-months follow-up (AUC: 0.77 and 0.71, respectively). CONCLUSIONS: Renal dysfunction, particularly severe CKD, significantly elevates risks of MACE, mortality, and TVD. Strategies to optimise renal function and tailor cardiovascular management could mitigate adverse outcomes in this high-risk population.

Association of hemoglobin glycation index with clinical outcomes in patients with coronary artery disease: a prospective cohort study.

BACKGROUND: To analyze the association between the hemoglobin glycation index (HGI) and the long-term prognosis of patients with coronary artery disease (CAD). METHODS: HGI represented the difference between laboratory measured Hemoglobin A1c (HbA1c) and predicted HbA1c based on a liner regression between Hb1Ac and fasting plasma glucose (FPG). A total of 10 598 patients who treated with percutaneous coronary intervention (PCI) were stratified into three groups (low HGI group: HGI<-0.506, medium HGI group: -0.506 ≤ HGI < 0.179, and high HGI group: HGI ≥ 0.179). The primary endpoints includes all-cause mortality (ACM) and cardiac mortality (CM). The secondary endpoints were major adverse cardiac events (MACEs) and major adverse cardiac and cerebrovascular events (MACCEs). RESULTS: A total of 321 ACMs, 243 CMs, 774 MACEs, and 854 MACCEs were recorded during a 60-month follow-up period. After adjusting for confounders using a multivariate Cox regression analysis, the patients in the low HGI group had a significantly increased risk of ACM (adjusted HR = 1.683, 95%CI:1.179-2.404, P = 0.004) and CM (HR = 1.604, 95%CI:1.064-2.417, P = 0.024) as compared with patients in the medium HGI group. Similarly, the patients in the high HGI group had an increased risk of MACEs (HR = 1.247, 95% CI: 1.023-1.521, P = 0.029) as compared with patients in the medium HGI group. For ACM, CM, and MACEs, a U-shaped relation were found among these three groups. However, we did not find significant differences in the incidence of MACCEs among these three groups. CONCLUSION: The present study indicates that HGI could be an independent predictor for the risk of mortality and MACEs in patients with CAD.

Progression of coronary artery calcium density and major adverse cardiovascular events.

BACKGROUND AND AIMS: We aimed to investigate the relationship between coronary artery calcium (CAC) density progression and major adverse cardiovascular events (MACE), and the prognostic value of CAC density progression. METHODS: Patients with serial CAC scans were enrolled in this study. CAC density was directly measured in calcified lesions. Change and rate of progression of CAC density were calculated. Cox proportional hazard regression was utilized to estimate hazard ratios (HRs) for time to MACE regarding CAC density. The incremental prognostic value and the reclassification ability of CAC density progression were evaluated using the C-index and continuous net reclassification index (NRI). RESULTS: 304 patients (57.86 ± 9.47 years, 69.4 % male) were included. There were 47 MACE over a follow-up period of 76.00 (56.00-95.00) months. After adjustment for risk factors and CAC volume, the change of CAC density was inversely associated with MACE (per 10HU: HR: 0.956, 95 % confidence interval: 0.920-0.992, p = 0.018). Adding the change of CAC density to risk factors and baseline CAC density improved the C-index (0.694 vs. 0.678, p = 0.026). Adding the change of CAC density improved reclassification of MACE compared with risk factors and baseline CAC density [NRI = 0.432 (0.016-0.789)]. CONCLUSIONS: CAC density progression is inversely associated with MACE. The addition of the change of CAC density improves prognostic value compared to baseline risk factors and CAC density and optimizes risk reclassification.

BNP and NT-proBNP as prognostic biomarkers for the prediction of adverse outcomes in HFpEF patients: A systematic review and meta-analysis.

Heart failure with preserved ejection fraction (HFpEF) presents a challenge in clinical practice due to its complexity and impact on morbidity and mortality. The aim of this systematic review and meta-analysis (SR/MA) was to evaluate the value of B-Type Natriuretic Peptide (BNP) and NT-proBNP in predicting overall adverse outcomes, cardiovascular events, and mortality, in patients with HFpEF. This SR/MA included observational studies and randomized controlled trials (RCTs) that reported the use of BNP and NT-proBNP as prognostic biomarkers for adverse outcomes in HFpEF patients. A comprehensive literature search was conducted using PubMed, EMBASE, and Google, without language restrictions, from inception until June 2024. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The quality and risk of bias of the included studies were assessed using the Newcastle-Ottawa Scale (NOS). Twenty-two studies involving 10,158 HFpEF patients were included. The analysis showed that BNP is a significant predictor of overall adverse events in HFpEF patients, with an overall HR of 1.34 (95% CI: 1.20-1.52). Similarly, BNP was a significant predictor of cardiovascular events and mortality in HFpEF patients with a HR of 1.36 (95% CI 1.12-1.64) and HR of 1.44 (95% CI: 1.04-1.84), respectively. When analyzing data for NT-proBNP predictive potential, 3 studies confirmed that NT-proBNP is a significant independent prognostic indicator for adverse events, with an overall HR of 1.80 (95% CI: 1.38-2.35). Comparable results were seen for mortality, with higher NT-proBNP levels associated with increased mortality risk and the MA showing a HR of 1.65 (95% CI: 1.55-1.76). This systematic review highlights the valuable prognostic role of BNP and NT-proBNP in predicting overall adverse outcome, cardiovascular events, and mortality in HFpEF patients. Our findings underscore the importance of further research to establish standardized thresholds and investigate BNP and NT-proBNP's potential in predicting morbidity and mortality.

The clinical value of serum long non-coding RNA human leukocyte antigen complex group 11/microRNA-532-3p in the diagnosis and prognosis of patients with acute myocardial infarction undergoing percutaneous coronary intervention.

BACKGROUND: Acute myocardial infarction (AMI) is a cardiovascular disease with the highest morbidity and mortality rate in the world. Several studies have suggested that abnormal regulation of non-coding RNAs (ncRNAs) may play a vital role in the occurrence and progress of AMI. OBJECTIVE: The purpose of this study was to investigate the clinical values of human leukocyte antigen complex group 11 (HCG11) or miR-532-3p in the diagnosis and prognosis of patients with AMI after percutaneous coronary intervention (PCI). METHODS: The clinical data of 100 AMI patients who underwent PCI were analyzed retrospectively. According to whether major adverse cardiovascular events (MACE) occurred after PCI, they were divided into MACE group (n = 38) and non-MACE group (n = 62). Basic clinical data and serum HCG11 and miR-532-3p levels were analyzed. Multivariate Cox regression analysis was performed to evaluate the risk factors for MACE, and the receiver operator characteristic (ROC) curve was constructed to assess the clinical predictive value of HCG11 and miR-532-3p for MACE. RESULTS: Compared with the control group, the serum HCG11 level and miR-532-3p in AMI patients were significantly increased or decreased, and the serum levels of HCG11 and miR-532-3p in the MACE group were significantly increased and decreased, compared with those in non-MACE group. Multivariate Cox regression showed that HCG11 and miR-532-3p were risk factors for MACE occurrence. ROC curve investigated that HCG11 combined with miR-532-3p has accurate predictive value for MACE. CONCLUSION: This study showed that serum HCG11 and miR-532-3p have certain predictive value for MACE after PCI in patients with AMI.

First manifestation of cardiovascular disease according to age and sex in a Mediterranean country.

Background: Cardiovascular (CV) diseases are the most common cause of death worldwide. This study aimed to investigate the incidence and type of first CV event in a broad cohort of Spaniards, focusing on age and sex differences. Methods: This was a retrospective study using the SIDIAP database. Subjects aged 30-89 years in 2010 were included. Individuals with prevalent CV disease or atrial fibrillation were excluded. Subjects were followed until the occurrence of a CV event, death, or the study end (December 2016). CV outcomes (coronary heart disease [CHD], cerebrovascular or peripheral artery disease and heart failure [HF]) during follow-up were analyzed. Clinical, anthropometrical, and laboratory data were retrieved from clinical records. Results: Overall, 3,769,563 at-risk individuals (51.2 ± 15.2 years) were followed for a median of 7 years. The cumulative incidence of a first CV event was 6.66% (men vs. women, 7.48% vs. 5.90%), with the highest incidence (25.97%) among individuals >75 years. HF (29%) and CHD (28.8%) were the most common first events overall; in men it was CHD (33.6%), while in women it was HF and cerebrovascular disease (37.4% and 27.4%). In younger age groups, CHD was more prevalent, with HF in older age groups. Baseline CV risks factors conferred more risk in younger ages and differed between men and women. Conclusions: The incidence and type of the first CV event in this Mediterranean region were significantly influenced by age and sex. This information is relevant for tailoring primary prevention strategies including the treatment of risk factors.

Body temperature, systemic inflammation and risk of adverse events in patients with acute coronary syndromes.

BACKGROUND: Inflammatory processes can trigger acute coronary syndromes (ACS) which may increase core body temperature (BT), a widely available low-cost marker of systemic inflammation. Herein, we aimed to delineate baseline characteristics of ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation ACS (NSTE-ACS) patients stratified by initial BT and to assess its predictive utility towards major adverse cardiovascular events (MACE) after the index ACS. METHODS: From 2012 until 2017, a total of 1044 ACS patients, 517 with STEMI and 527 with NSTE-ACS, were prospectively recruited at the University Hospital Zurich. BT was measured by digital tympanic thermometer along with high-sensitivity C-reactive protein (hs-CRP) and cardiac troponin-T (hs-cTnT) levels prior to coronary angiography. Patients were stratified according to initial BT and uni- and multivariable regression models were fit to assess associations of BT with future MACE risk. RESULTS: Among patients with STEMI, BT was not predictive of 1-year MACE, but a U-shaped relationship between BT and MACE risk was noted in those with NSTE-ACS (p = .029), translating into a 2.4-fold (HR, 2.44, 95% CI, 1.16-5.16) increased 1-year MACE risk in those with BT >36.8°C (reference: 36.6-36.8°C). Results remained robust in multivariable-adjusted analyses accounting for sex, age, diabetes, renal function and hs-cTnT. However, when introducing hs-CRP, the BT-MACE association did not prevail. CONCLUSIONS: In prospectively recruited patients with ACS, initial BT shows a U-shaped relationship with 1-year MACE risk among those with NSTE-ACS, but not in those with STEMI. BT is a broadly available low-cost marker to identify ACS patients with high inflammatory burden, at high risk for recurrent ischaemic events, and thus potentially suitable for an anti-inflammatory intervention. REGISTRATION: ClinicalTrials.gov Identifier: NCT01000701.

ABLE-SCORE, a simplified risk score for major adverse cardiovascular outcomes in left ventricular hypertrabeculation: a multicenter longitudinal cohort study.

BACKGROUND: Left ventricular hypertrabeculation (LVHT) is a heterogeneous entity with life-threatening complications and variable prognosis. However, there are limited prediction models available to identify individuals at high risk of adverse outcomes, and the current risk score in LVHT is comparatively complex for clinical practice. This study aimed to develop and validate a simplified risk score to predict major adverse cardiovascular events (MACE) in LVHT. METHODS: This multicenter longitudinal cohort study consecutively enrolled morphologically diagnosed LVHT patients between January 2009 and December 2020 at Fuwai Hospital (derivation cohort, n = 300; internal validation cohort, n = 129), and between January 2014 and December 2022 at two national-level medical centers (external validation cohort, n = 95). The derivation/internal validation cohorts and the external validation cohort were followed annually until December 2022 and December 2023, respectively. MACE was defined as a composite of all-cause mortality, heart transplantation/left ventricular assist device implantation, cardiac resynchronization therapy, malignant ventricular arrhythmia, and thromboembolism. A simplified risk score, the ABLE-SCORE, was developed based on independent risk factors in the multivariable Cox regression predictive model for MACE, and underwent both internal and external validations to confirm its discrimination, calibration, and clinical applicability. RESULTS: A total of 524 LVHT patients (43.5 ± 16.6 years, 65.8% male) were included in the study. The ABLE-SCORE was established using four easily accessible clinical variables: age at diagnosis, N-terminal pro-brain natriuretic peptide levels, left atrium enlargement, and left ventricular ejection fraction ≤ 40% measured by echocardiography. The risk score showed excellent performance in discrimination, with Harrell's C-index of 0.821 [95% confidence interval (CI), 0.772-0.869], 0.786 (95%CI, 0.703-0.869), and 0.750 (95%CI, 0.644-0.856) in the derivation, internal validation, and external validation cohort, respectively. Calibration plots of the three datasets suggested accurate agreement between the predicted and observed 5-year risk of MACE in LVHT. According to decision curve analysis, the ABLE-SCORE displayed greater net benefits than the existing risk score for LVHT, indicating its strength in clinical applicability. CONCLUSIONS: A simplified and efficient risk score for MACE was developed and validated using a large LVHT cohort, making it a reliable and convenient tool for the risk stratification and clinical management of patients with LVHT.

Practices and outcomes of rotational atherectomy in China: The Rota China registry.

BACKGROUND: Rotational atherectomy (RA) remains an integral tool for the treatment of severe coronary calcified lesions despite emergence of newer techniques. We aimed to evaluate the contemporary clinical practices and outcomes of RA in China. METHODS: The Rota China Registry (NCT03806621) was an investigator-initiated, prospective, multicenter registry based on China Rota Elite Group. Consecutive patients treated with RA were recruited. A pre-designed, standardized protocol was recommended for the RA procedure. The primary safety endpoint was major adverse cardiovascular events (MACE: composite of cardiac death, myocardial infarction, or ischemia-driven target lesion revascularization) at 30 days. The primary efficacy endpoint was procedural success. RESULTS: Between July 2018 and December 2020, 980 patients were enrolled at 19 sites in China. Mean patient age was 68.4 years, and 61.4% were men. Radial access was used in 79.1% patients, and 32.7% procedures were guided by intravascular imaging. A total of 22.6% procedures used more than 1 burr, and the maximal burr size was ≥1.75 mm in 24.4% cases, with burr upsizing in 19.3% cases, achieving a final burr-to-artery ratio of 0.52. Procedural success was achieved in 91.1% of patients, and the rate of 30-day and 1-year MACE was 4.9% and 8.2%, respectively. Multivariable analysis identified the total lesion length (HR 1.014, 95% CI: 1.002-1.027; p = 0.021) as predictor of 30-day MACE, and renal insufficiency (HR 1.916, 95% CI: 1.073-3.420; p = 0.028) as predictor of 1-year MACE. CONCLUSIONS: In this contemporary prospective registry in China, the use of RA was effective in achieving high procedural success rate with good short- and long-term outcomes in patients with severely calcified lesions.

Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms.

We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET) and 17,649 ECG-single-photon emission computed tomography (SPECT) data pairs, the ML model is trained with a swarm intelligence approach and support vector regression (SVR). The model achieves a receiver-operator curve (ROC) area under the curve (AUC) of 0.83, with a sensitivity and specificity of 0.75. An ECG-MFR value below 2 is significantly associated with MACE, with hazard ratios (HRs) of 3.85 and 3.70 in the discovery and validation phases, respectively. The model's C-statistic is 0.76, with a net reclassification improvement (NRI) of 0.35. Validated in an independent cohort, the ML model using ECG data offers superior MACE prediction compared to baseline clinical models, highlighting its potential for risk stratification in patients with coronary artery disease (CAD) using the accessible 12-lead ECG.

Serum mature and furin-cleaved proprotein convertase subtilisin/kexin type 9 levels and their association with cardiovascular events in statin-treated patients with cardiovascular disease.

BACKGROUND AND AIMS: Previous studies have not found a consistent association between circulating proprotein convertase subtilisin/kexin type 9 (PCSK9) levels and the risk of cardiovascular events partly due to measurement methods that cannot distinguish between uncleaved and furin-cleaved forms of PCSK9. METHODS: This is a prespecified sub-study of the REAL-CAD study which is a prospective, multicenter, randomized trial to compare high- versus low-dose statin in patients with stable coronary artery disease (CAD). The primary endpoint was major adverse cerebrovascular and cardiovascular events (MACCE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal ischemic stroke, or unstable angina requiring emergency hospitalization. In this case-cohort study, serum mature (uncleaved) and furin-cleaved PCSK9 levels obtained at 6 months after randomization were measured among 426 participants who developed MACCE (cases) and 1,478 randomly selected participants (sub-cohort). RESULTS: From 1,478 patients in sub-cohort, the Cox proportional hazards models with a pseudolikelihood method for case-cohort design revealed that the risk of the primary endpoint in patients with the highest quartile of mature PCSK9 levels was similar to that in the lowest quartile (hazard ration [HR] 0.809; 95% confidence intervals [CI], 0.541-1.209). Similarly, the HR for the highest to lowest quartiles of furin-cleaved PCSK9 was 0.948 [95% CI, 0.645-1.392] (P = 0.784). Compared to the lowest quartile, neither serum mature nor furin-cleaved PCSK9 levels predicted MACCE. CONCLUSIONS: In a large-scale secondary prevention cohort, serum mature and furin-cleaved PCSK9 levels did not provide useful information for predicting future cardiovascular events in statin-treated patients with stable CAD.

Serum Soluble Corin and Long-Term Clinical Outcomes After Acute Ischemic Stroke.

BACKGROUND: Corin plays important roles in the regulation of blood volume and pressure and cardiac function by activating natriuretic peptide pathway, exerting multiple cardioprotective effects. But the impacts of soluble corin on clinical outcomes after ischemic stroke are unclear. We aimed to investigate the associations between serum soluble corin and long-term clinical outcomes after acute ischemic stroke. METHODS AND RESULTS: We measured the concentrations of serum soluble corin in 3162 participants (2010 men and 1152 women) from the China Antihypertensive Trial in Acute Ischemic Stroke. The clinical outcomes were recurrent stroke, cardiovascular events, all-cause mortality, and unfavorable functional outcome within 24 months after stroke. Risk reclassification for study clinical outcomes of models with soluble corin were evaluated. Serum soluble corin was inversely associated with recurrent stroke, cardiovascular events, and unfavorable functional outcome after ischemic stroke. After adjusting for multiple covariates, each additional SD of log-corin was associated with a 21% (95% CI, 11-30), 16% (95% CI, 6-26), and 12% (95% CI, 3-21) decreased risk for recurrent stroke, cardiovascular events, and unfavorable functional outcome, respectively. Furthermore, the addition of soluble corin to the basic model with conventional risk factors significantly improved risk discrimination for recurrent stroke, cardiovascular events, and the composite outcome of all-cause mortality and cardiovascular events, as shown by C-statistics (all P<0.05). CONCLUSIONS: Serum soluble corin was associated with decreased risks of long-term clinical outcomes, and may be a promising prognostic biomarker for risk stratification in patients with acute ischemic stroke.

Prognosis impact of multiple novel lymphocyte-based inflammatory indices in patients with initially diagnosed coronary artery disease.

BACKGROUND: This study aimed to evaluate six novel lymphocyte-based inflammatory markers (neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, platelet-lymphocyte ratio [PLR], systemic immune inflammation index [SII], systemic inflammatory response index, and systemic immune inflammation response index [SIIRI]) in patients with newly diagnosed coronary artery disease [CAD]. METHODS: A total of 959 patients newly diagnosed with CAD and underwent diagnostic coronary angiography were enrolled in this study and followed for major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. The best cutoff value was used to compare the six indicators. Cox risk regression analysis evaluated the relationship between novel lymphocyte-based inflammatory markers and MACEs in newly diagnosed CAD patients. RESULTS: During a mean follow-up period of 33.3 ± 9.9 months, 229 (23.9%) MACEs were identified. Multivariate Cox regression analysis showed that only SIIRI (hazard ratio [HR]: 5.853; 95% confidence interval [CI]: 4.092-8.371; p < .001) and PLR (HR: 1.725; 95% CI: 1.214-2.452; p = .002) were independent predictors of MACEs. Nevertheless, following the adjustment for covariates, only the SIIRI was found to be a significant predictor MACEs and its corresponding specific endpoint occurrences. The predictive ability of the model was improved when six different inflammatory markers were added to the basic model established by traditional risk factors, namely, the C-index increased, and the SIIRI increased most significantly (AUC: 0.778; 95% CI: 0.743-0.812; p < .001). However, among the six novel inflammatory markers, only SIIRI had improved net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI: 0.187; 95% CI: 0.115-0.259, p < .001. IDI: 0.135; 95% CI: 0.111-0.159, p < .001), which was superior to the basic model established by traditional risk factors. CONCLUSIONS: SIIRI is independent predictor of MACEs in newly diagnosed CAD patients. SIIRI was superior to other measures in predicting MACEs. The combination of SIIRI and traditional risk factors can more accurately predict MACEs.