Composite Cardiovascular Events Research Articles

Machine learning model for cardiovascular disease prediction in patients with chronic kidney disease

IntroductionCardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to support clinical decision making and improve patient prognosis.MethodsElectronic medical records from patients with CKD at a single center from 2015 to 2020 were used to develop machine learning models for the prediction of CVD. Least absolute shrinkage and selection operator (LASSO) regression was used to select important features predicting the risk of developing CVD. Seven machine learning classification algorithms were used to build models, which were evaluated by receiver operating characteristic curves, accuracy, sensitivity, specificity, and F1-score, and Shapley Additive explanations was used to interpret the model results. CVD was defined as composite cardiovascular events including coronary heart disease (coronary artery disease, myocardial infarction, angina pectoris, and coronary artery revascularization), cerebrovascular disease (hemorrhagic stroke and ischemic stroke), deaths from all causes (cardiovascular deaths, non-cardiovascular deaths, unknown cause of death), congestive heart failure, and peripheral artery disease (aortic aneurysm, aortic or other peripheral arterial revascularization). A cardiovascular event was a composite outcome of multiple cardiovascular events, as determined by reviewing medical records.ResultsThis study included 8,894 patients with CKD, with a composite CVD event incidence of 25.9%; a total of 2,304 patients reached this outcome. LASSO regression identified eight important features for predicting the risk of CKD developing into CVD: age, history of hypertension, sex, antiplatelet drugs, high-density lipoprotein, sodium ions, 24-h urinary protein, and estimated glomerular filtration rate. The model developed using Extreme Gradient Boosting in the test set had an area under the curve of 0.89, outperforming the other models, indicating that it had the best CVD predictive performance.ConclusionThis study established a CVD risk prediction model for patients with CKD, based on routine clinical diagnostic and treatment data, with good predictive accuracy. This model is expected to provide a scientific basis for the management and treatment of patients with CKD.

Safety and Efficacy of Anti-Hypertensive Medications in Patients with Heart Failure with Preserved Ejection Fraction: A Systematic Review and Meta-analysis.

Hypertension (HTN) is a co-morbidity that is commonly associated with heart failure with preserved ejection fraction (HFpEF). However, it remains unclear whether treatment of hypertension in HFpEF patients is associated with improved cardiovascular outcomes. The purpose of this meta-analysis is to evaluate the association of anti-hypertensive medical therapy with cardiovascular outcomes in patients with HFpEF. We performed a database search for studies reporting on the association of anti-hypertensive medications with cardiovascular outcomes and safety endpoints in patients with HFpEF. The databases searched include OVID Medline, Web of Science, and Embase. The primary endpoint was all-cause mortality. Secondary endpoints include cardiovascular (CV) mortality, worsening heart failure (HF), CV hospitalization, composite major adverse cardiovascular events (MACE), hyperkalemia, worsening renal function, and hypotension. A total of 12 studies with 14062 HFpEF participants (7010 treated with medical therapy versus 7052 treated with placebo) met inclusion criteria. Use of anti-hypertensive medications was not associated with lower all-cause mortality, CV mortality or CV hospitalization compared to treatment with placebo (OR 1.02, 95% CI 0.77-1.35; p=0.9, OR 0.88, 95% CI 0.73-1.06; p=0.19, OR 0.99, 95% CI 0.87-1.12; p=0.83, OR 0.90, 95% CI 0.79-1.03; p=0.11). Anti-hypertensive medications were not associated with lower risk of subsequent acute myocardial infarction (AMI) (OR 0.53, 95% CI 0.07-3.73; p=0.5). Use of anti-hypertensive medications was associated with a statistically significant lower risk of MACE (OR 0.90, 95% CI 0.83-0.98; p=0.02). While treatment with anti-hypertensive medications was not associated with lower risk of all-cause mortality, their use may be associated with reduce risk of adverse cardiovascular outcomes in patients with HFpEF regardless of whether they have HTN. Additional high quality studies are required to clarify this association and determine the effect based on specific classes of medications.

Self-rated health and risk of incident cardiovascular events among individuals with hypertension

Background: The relationship between self-rated health (SRH) and cardiovascular events in individuals with hypertension, but without diabetes mellitus, is understudied. Methods: We performed a post hoc analysis of data from SPRINT (Systolic Blood Pressure Intervention Trial). SRH was categorized into excellent, very good, good and fair/poor. Using multivariable Cox regression, we estimated hazard ratios and 95% confidence intervals (CIs) for the association of SRH with both all-cause mortality and a composite of cardiovascular events (the primary outcome), which was defined to include myocardial infarction (MI), other acute coronary syndromes, stroke, acute decompensated heart failure, and cardiovascular death. Results: We included 9319 SPRINT participants (aged 67.9 ± 9 years, 35.6% women) with a median follow-up of 3.8 years. Compared with SRH of excellent, the risk [hazard ratio (95% CI)] of the primary outcome associated with very good, good, and fair/poor SRH was 1.11(0.78–1.56), 1.45 (1.03–2.05), and 1.87(1.28–2.75), respectively. Similarly, compared with SRH of excellent, the risk of all-cause mortality [hazard ratio (95% CI)] associated with very good, good, and fair/poor SRH was 1.13 (0.73–1.76), 1.72 (1.12–2.64), and 2.11 (1.32–3.38), respectively. Less favorable SRH (LF-SRH) was also associated with a higher risk of each component of the primary outcome and serious adverse events (SAE). Conclusion: Among individuals with hypertension, SRH is independently associated with the risk of incident cardiovascular events, all-cause mortality, and SAE. Our study suggest that guidelines should consider the potential significance of including SRH in the clinical history of patients with hypertension.

Cardiovascular outcomes following hospitalisation for exacerbation of bronchiectasis: a territory-wide study.

Although bronchiectasis is reported to be associated with cardiovascular disease, evidence for an association with cardiovascular events (CVEs) is lacking. A territory-wide retrospective cohort study was conducted in Hong Kong involving all patients who had bronchiectasis diagnosed in public hospitals and clinics between 1 January 1993 and 31 December 2017 were included. Patients were allocated to be exacerbator or non-exacerbator group based on hospitalzied bronchiecsis history and CVEs over the next 5 years determined. Propensity score matching was used to balance baseline characteristics. 10 714 bronchiectasis patients (mean age 69.6±14.4 years, 38.9% men), including 1230 in exacerbator group and 9484 in non-exacerbator group, were analysed. At 5 years, 113 (9.2%) subjects in the exacerbator group and 87 (7.1%) in the non-exacerbator group developed composite CVEs. After adjustment for age, sex, smoking and risk factors for cardiovascular disease, bronchiectasis exacerbation was associated with increased risks for acute myocardial infarction (AMI), congestive heart failure (CHF) and CVE compared with those in the non-exacerbator group with adjusted HR of 1.602 (95% CI 1.006-2.552, p value=0.047), 1.371 (95% CI 1.016-1.851, p value=0.039) and 1.238 (95% CI 1.001-1.532, p=0.049) in the whole cohort. Findings were similar for the propensity score-matched cohort for AMI and CVE. Patients who were hospitalised for exacerbation of bronchiectasis were at significantly increased risk of AMI, CHF and CVE over a 5-year follow-up period.

Subclinical Hypothyroidism Predicted Adverse Cardiovascular Events in Patients with Ejection Fraction Preserved Heart Failure.

Subclinical hypothyroidism (SH) increases the risk of cardiovascular events, however the influence of SH on prognosis of ejection fraction preserved heart failure (HFpEF) is not fully understood. In this prospective observational study, patients with HFpEF were divided into euthyroidism group (n = 413) and SH group (n = 79). Patients were followed up for at least 30 months to examine the association between SH and cardiovascular events in patients with HFpEF. The primary end point was composite cardiovascular events (cardiovascular death and re-hospitalization). The patients underwent flow-mediated dilation (FMD) measurement by ultrasound in order to value endothelial function. The rate of composite cardiovascular events was higher in SH group than in euthyroidism group (54.49% and 26.36%, respectively; p < 0.001). The higher risk of cardiovascular events in SH group was primarily due to a higher risk of re-hospitalization compared to euthyroidism group (45.56% and 20.58%, respectively; p < 0.001). The rate of cardiovascular death was higher in SH group than in euthyroidism group (13.92% and 5.81%, respectively; p = 0.017). Cox proportional hazards regression showed that SH (hazard ratios [HR] 1.921, 95% confidence interval [CI] 1.139-3.240), level of TSH (HR 1.025, 95% CI 1.010-1.054), age (HR 1.017, 95% CI 1.002-1.034), LVEF (HR 0.975, 95% CI 0.953-0.996), atrial fibrillation (HR 1.581, 95% CI 1.083-2.307), eGFR (HR 0.987, 95% CI 0.978-0.997), and NYHA cardiac function (HR 2.342, 95% CI 1.649-3.326) were independent predictors of cardiovascular events in patients with HFpEF (all P < 0.05). Subclinical hypothyroidism was associated with increased cardiovascular events and death in patients with HFpEF.

Circulatory endostatin level and risk of cardiovascular events in patients with end-stage renal disease on hemodialysis.

Endostatin is released during extracellular matrix remodeling and is involved in the development of vascular pathology and cardiovascular (CV) disease. However, the role of circulating endostatin as a biomarker of vascular calcification and CV events in patients undergoing hemodialysis (HD) remains unclear. A total of 372 patients undergoing HD were prospectively recruited. Plasma endostatin levels were measured at baseline, and their associations with circulating mineral bone disease (MBD) biomarkers and abdominal aortic vascular calcification scores were analyzed. The primary endpoint was defined as a composite of CV and cardiac events. Plasma levels of patients in endostatin tertile 3 were significantly associated with low-density lipoprotein cholesterol levels and predialysis systolic blood pressure in multivariate analysis. However, endostatin levels did not correlate with circulating MBD biomarkers or vascular calcification scores. Patients in endostatin tertile 3 had a significantly higher cumulative event rate for the composite of CV events (p = 0.006). Endostatin tertile 3 was also associated with an increased cumulative rate of cardiac events (p = 0.04). In multivariate Cox regression analyses, endostatin tertile 3 was associated with a 4.37-fold risk for composite CV events and a 3.88-fold risk for cardiac events after adjusting for multiple variables. Higher circulating endostatin levels were independently associated with atherosclerotic risk factors but did not correlate with MBD markers or vascular calcification. Higher circulating endostatin levels were associated with a greater risk of composite CV events in patients undergoing HD, and endostatin is a biomarker that helps to determine the high risk of CV events.

Self-Apposing Stents in Coronary Chronic Total Occlusions: A Pilot Study

This pilot study assessed the 12-month angiographic and clinical outcomes of self-apposing (SA) stents in patients undergoing chronic total occlusion (CTO) percutaneous coronary intervention (PCI). Self-apposing (SA) stents may decrease incomplete strut apposition and stent strut coverage that are common after CTO PCI. We compared 20 patients who underwent CTO PCI using SA drug-eluting stents (DESs) with 20 matched control patients who underwent CTO PCI using balloon-expandable (BE)-DESs. All patients were followed up clinically for 12 months and had coronary angiography with optical coherence tomography at the end of the follow-up period. The primary end points were stent strut malapposition and strut coverage. The secondary end point was composite major adverse cardiovascular events (MACEs) at 12 months. Both groups had high prevalence of diabetes mellitus, and most of the treated lesions were complex, with 62% having a J-CTO score of ≥3. All CTO PCI techniques were allowed for recanalisation, and 75% of the procedures were guided by intravascular ultrasound. At 12 months, the SA-DES group had fewer malapposed struts (0% [interquartile range (IQR) 0%-0%] vs 4.5% [IQR 0%-20%]; p<0.001) and uncovered struts (0.08% [IQR 0%-1.6%] vs 8.2% [IQR 0%-16%]; p<0.001). However, they showed significantly higher rates of MACEs due to clinically-driven target lesion revascularisation (45% vs 15%; p=0.038). In this pilot study, compared with conventional BE-DESs, SA-DESs used in CTO PCI were associated with fewer malapposed and uncovered stent struts but also with significantly higher rates of in-stent restenosis and MACEs, mainly caused by clinically driven target lesion revascularisation.

Assessing Machine Learning for Diagnostic Classification of Hypertension Types Identified by Ambulatory Blood Pressure Monitoring

BackgroundInaccurate blood pressure classification results in inappropriate treatment. We tested if machine learning (ML), using routine clinical data, can serve as a reliable alternative to Ambulatory Blood Pressure Monitoring (ABPM) in classifying blood pressure status. MethodsThis study employed a multi-centre approach involving three derivation cohorts from Glasgow, Gdańsk, and Birmingham, and a fourth independent evaluation cohort. ML models were trained using office BP, ABPM, and clinical, laboratory, and demographic data, collected from patients referred for hypertension assessment. Seven ML algorithms were trained to classify patients into five groups: Normal/Target, Hypertension-Masked, Normal/Target-White-Coat, Hypertension-White-Coat, and Hypertension. The 10-year cardiovascular outcomes and 27-year all-cause mortality risks were calculated for the ML-derived groups using the Cox proportional hazards model. ResultsOverall XGBoost showed the highest AUROC of 0.85-0.88 across derivation cohorts, Glasgow (n=923; 43% females; age 50.7±16.3 years), Gdańsk (n=709; 46% females; age 54.4±13 years), and Birmingham (n=1,222; 56% females; age 55.7±14 years). But accuracy (0·57-0·72) and F1 scores (0·57-0·69) were low across the three patient cohorts. The evaluation cohort (n=6213, 51% females; age 51.2±10.8 years) indicated elevated 10-year risks of composite cardiovascular events in the Normal/Target-White-Coat and Hypertension-White-Coat groups, with heightened 27-year all-cause mortality observed in all groups except Hypertension-Masked, compared to the Normal/Target group. ConclusionsMachine learning has limited potential in accurate blood pressure classification when ABPM is unavailable. Larger studies including diverse patient groups and different resource settings are warranted.

Association of antiseizure medications and adverse cardiovascular events: A global health federated network analysis.

A diagnosis of epilepsy has been associated with adverse cardiovascular events (CEs), but the extent to which antiseizure medications (ASMs) may contribute to this is not well understood. The aim of this study was to compare the risk of adverse CEs associated with ASM in patients with epilepsy (PWE). A retrospective case-control cohort study was conducted using TriNetX, a global health federated network of anonymized patient records. Patients older than 18 years, with a diagnosis of epilepsy (International Classification of Diseases, 10th Revision code G40) and a medication code of carbamazepine, lamotrigine, or valproate were compared. Patients with cardiovascular disease prior to the diagnosis of epilepsy were excluded. Cohorts were 1:1 propensity score matched (PSM) according to age, sex, ethnicity, hypertension, heart failure, atherosclerotic heart disease, atrial and cardiac arrythmias, diabetes, disorders of lipoprotein metabolism, obesity, schizophrenia and bipolar disorder, medications, and epilepsy classification. The primary outcome was a composite of adverse CEs (ischemic stroke, acute ischemic heart disease, and heart failure) at 10 years. Cox regression analyses were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) following 1:1 PSM. Of 374 950 PWE included; three cohorts were established after PSM: (1) carbamazepine compared to lamotrigine, n = 4722, mean age 37.4 years; (2) valproate compared to lamotrigine, n = 5478, mean age 33.9 years; and (3) valproate compared to carbamazepine, n = 4544, mean age 37.0 years. Carbamazepine and valproate use were associated with significantly higher risk of composite cardiovascular outcome compared to lamotrigine (HR = 1.390, 95% CI = 1.160-1.665 and HR = 1.264, 95% CI = 1.050-1.521, respectively). Valproate was associated with a 10-year higher risk of all-cause death than carbamazepine (HR = 1.226, 95% CI = 1.017-1.478), but risk of other events was not significantly different. Carbamazepine and valproate were associated with increased CE risks compared to lamotrigine. Cardiovascular risk factor monitoring and careful follow-up should be considered for these patients.

Nonlinear association between proteinuria levels and the risk of cardiovascular disease events and all-cause mortality among chronic kidney disease patients

Background The association between proteinuria levels and cardiovascular disease (CVD) development and all-cause mortality in chronic kidney disease (CKD) patients remains controversial. Methods In this investigation, we conducted a retrospective analysis involving 1138 patients who were registered in the CKD-Research of Outcomes in Treatment and Epidemiology (ROUTE) study. The primary outcome of this study was the composite of cardiovascular events or all-cause death. Cox proportional hazards regression, smooth curve fitting, piecewise linear regression, and subgroup analyses were used. Results The mean age of the included individuals was 67.3 ± 13.6 years old. Adjusted hazard ratios (HRs) for UPCR in middle and high groups, compared to the low group, were 1.93 (95% CI: 1.28–2.91) and 4.12 (95% CI: 2.87–5.92), respectively, after multivariable adjustment. Further adjustments maintained significant associations; HRs for middle and high groups were 1.71 (95% CI: 1.12–2.61) and 3.07 (95% CI: 2.08–4.54). A nonlinear UPCR-primary outcome relationship was observed, with an inflection point at 3.93 g/gCr. Conclusion Among non-dialyzed patients with stage G2-G5 CKD, a nonlinear association between UPCR and the primary outcome was observed. A higher UPCR (when UPCR < 3.93 g/gCr) was an independent predictor of the primary outcome. Importantly, our study predates SGLT2 inhibitor use, showcasing outcomes achievable without these medications. Future research considerations will involve factors like SGLT-2 inhibitor utilization.

The impact of sodium-glucose co-transporter-2 inhibitors on dementia and cardiovascular events in diabetic patients with atrial fibrillation.

The effectiveness of sodium-glucose co-transporter-2 inhibitors (SGLT2i) on incident dementia in patients with diabetes and atrial fibrillation (AF) remains unknown. This study aimed to investigate the association between SGLT2i and the risk of incident dementia in diabetic patients with AF, and to explore the interactions with oral anticoagulants or dipeptidyl peptidase-4 inhibitors (DPP4i). We conducted a cohort study using Taiwan's National Health Insurance Research Database. Patients with diabetes and AFwithout a prior history of established cardiovascular diseases, were identified. Using propensity score matching, 810 patients receiving SGLT2i were matched with 1620 patients not receiving SGLT2i. The primary outcome was incident dementia, and secondary outcomes included composite cardiovascular events and mortality. After up to 5years of follow-up, SGLT2i use was associated with a significantly lower risk of incident dementia (hazard: 0.71, 95% confidence interval: 0.51-0.98), particularly vascular dementia (HR: 0.44, 95% CI: 0.24-0.82). SGLT2i was related to reduced risks of AF-related hospitalisation (HR: 0.72, 95% CI: 0.56-0.93), stroke (HR: 0.75, 95% CI: 0.60-0.94), and all-cause death (HR: 0.33, 95% CI: 0.24-0.44). The protective effects were consistent irrespective of the concurrent use of non-vitamin K antagonist oral anticoagulants (NOACs) or DPP4i. In diabetic patients with AF, SGLT2i was associated with reduced risks of incident dementia, AF-related hospitalisation, stroke, and all-cause death. The protective effects were independent of either concurrent use of NOACs or DPP4i.

Real-World Risk of Recurrent Cardiovascular Events in Atherosclerotic Cardiovascular Disease Patients with LDL-C Above Guideline-Recommended Threshold: A Retrospective Observational Study.

The 2021 Canadian Cardiovascular Society (CCS) guidelines recommend intensive low-density lipoprotein cholesterol (LDL-C) reduction for patients with atherosclerotic cardiovascular disease (ASCVD). For patients above LDL-C threshold on maximally tolerated statins, adding ezetimibe and/or a proprotein convertase subtilisin/kexin type9 inhibitor (PCSK9i) is recommended. This population-based, real-world study examined cardiovascular (CV) events in patients with ASCVD who are on statins and above current guideline threshold LDL-C levels. Using administrative health data in Alberta, Canada, we identified patients with myocardial infarction (MI), ischemic stroke (IS), or peripheral artery disease with LDL-C > 1.8mmol/L on statins between April 1, 2010 and March 31, 2016. Exploratory subgroups included very high-risk patients with ASCVD shown to derive the most benefit from PCSK9i intensification as identified by the CCS guidelines, including those with acute coronary syndrome (ACS) or recent MI. Frequencies and rates of individual and composite CV events (primary outcome: MI, IS, hospitalization for unstable angina, coronary revascularization, cardiovascular death; secondary outcome: MI, IS, CV death) were calculated over follow-up. The study included 32,984 patients with a mean (standard deviation) follow-up of 40.8 (21.0) months. Overall, 17.7% and 15.6% experienced a primary and secondary outcome, respectively, with rates of 5.58 and 4.83 per 100 patient-years, respectively. CV death and MI were the most common events. Subgroups with recurrent MI and comorbid diabetes exhibited higher CV event rates (23.6% and 22.2% had a primary outcome, respectively). Rates of CV events were notably high in patients with ACS or recent MI (49.4% and 54.0% had a primary outcome, respectively). This real-world study confirms that statin-treated high-risk patients with ASCVD and above-threshold LDL-C levels have substantial incidence of recurrent CV events. These findings reinforce the opportunity for lipid-lowering therapy intensification in high-risk patients to levels below guideline-recommended threshold in order to reduce CV risk.

Role of Fenofibrate Use in Dyslipidemia and Related Comorbidities in the Asian Population: A Narrative Review.

Hypertriglyceridemia and decreased high-density lipoprotein cholesterol (HDL-C) persist despite statin therapy, contributing to residual atherosclerotic cardiovascular disease (ASCVD) risk. Asian subjects are metabolically more susceptible to hypertriglyceridemia than other ethnicities. Fenofibrate regulates hypertriglyceridemia, raises HDL-C levels, and is a recommended treatment for dyslipidemia. However, data on fenofibrate use across different Asian regions are limited. This narrative review summarizes the efficacy and safety data of fenofibrate in Asian subjects with dyslipidemia and related comorbidities (diabetes, metabolic syndrome, diabetic retinopathy, and diabetic nephropathy). Long-term fenofibrate use resulted in fewer cardiovascular (CV) events and reduced the composite of heart failure hospitalizations or CV mortality in type 2 diabetes mellitus. Fenofibrate plays a significant role in improving irisin resistance and microalbuminuria, inhibiting inflammatory responses, and reducing retinopathy incidence. Fenofibrate plus statin combination significantly reduced composite CV events risk in patients with metabolic syndrome and demonstrated decreased triglyceride and increased HDL-C levels with an acceptable safety profile in those with high CV or ASCVD risk. Nevertheless, care is necessary with fenofibrate use due to possible hepatic and renal toxicities in vulnerable individuals. Long-term trials and real-world studies are needed to confirm the clinical benefits of fenofibrate in the heterogeneous Asian population with dyslipidemia.

Association of Cancer and Its Interaction with Conventional Risk Factors on Cardiovascular Disease Risk

Introduction: We sought to examine the association of cancer history with the incidence of individual cardiovascular disease events and to clarify whether the history of cancer modifies the relationship between conventional cardiovascular risk factors and incident cardiovascular disease. Methods: This retrospective cohort study used the JMDC Claims Database, including 3,531,683 individuals. The primary endpoint was the composite cardiovascular disease outcome, which included myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Results: During a follow-up, 144,162 composite endpoints were recorded. Individuals with a history of cancer had a higher risk of developing composite cardiovascular disease events (hazard ratio [HR] 1.26, 95% confidence interval [CI] 1.22–1.29). The HRs for myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation were 1.11 (95% CI 0.98–1.27), 1.15 (95% CI 1.10–1.20), 1.11 (95% CI 1.05–1.18), 1.39 (95% CI 1.34–1.44), and 1.22 (95% CI 1.13–1.32), respectively. Individuals who required chemotherapy for cancer had a higher risk of developing cardiovascular disease. Although conventional risk factors (e.g., overweight/obesity, hypertension, and diabetes) were associated with incident composite cardiovascular disease even in individuals with a history of cancer, the total population-attributable fractions of conventional risk factors were less in individuals with a history of cancer. Conclusion: Individuals with a history of cancer (particularly those requiring chemotherapy) have a higher risk of cardiovascular disease. Traditional risk factors are important in the development of cardiovascular disease in individuals with and without a history of cancer. In individuals with a history of cancer, however, the total population-attributable fractions of conventional risk factors decreased.

Impact of residual coronary lesions on outcomes of myocardial infarction patients with multi-vessel disease

BackgroundThe residual burden of coronary artery disease (CAD) after percutaneous coronary intervention (PCI) drew a growing interest. The residual SYNTAX Score (rSS) was a strong prognostic factor of adverse events and all-cause mortality in patients who underwent PCI. In addition, the SYNTAX Revascularization Index (SRI), a derivative of rSS, was used to figure out the treated proportion of CAD and could be used as a prognostic utility in PCI for patients with multi-vessel disease (MVD).PurposeWe aimed at the assessment of the use of rSS and the SRI as predictors of in-hospital outcomes and up to two-year cumulative follow-up outcomes in patients with MVD who had PCI for the treatment of ST-Elevation Myocardial Infarction (STEMI) or Non-STEMI (NSTEMI).MethodsWe recruited 149 patients who had either STEMI or NSTEMI while having MVD and received treatment with PCI. We divided them into tertiles based on their rSS and SRI values. We calculated baseline SYNTAX Score (bSS) and rSS using the latest version of the calculator on the internet, and we used both scores to calculate SRI. The study end-points were In-hospital composite Major Adverse Cardiovascular Events (MACE) and its components, in-hospital death, and follow-up cumulative MACE up to 2 years.ResultsNeither rSS nor SRI were significant predictors of in-hospital adverse events, while female sex, hypertension, and left ventricular ejection fraction were independent predictors of in-hospital MACE. At the two-year follow-up, Kaplan-Meyer analysis showed a significantly increased incidence of MACE within the third rSS tertile (rSS > 12) compared to other tertiles (log rank p = 0.03). At the same time, there was no significant difference between the three SRI tertiles. Unlike SRI, rSS was a significant predictor of cumulative MACE on univariate Cox regression (HR = 1.037, p < 0.001). On multivariate Cox regression, rSS was a significant independent predictor of two-year cumulative MACE (HR = 1.038, p = 0.0025) along with female sex, hypertension, and left ventricular ejection fraction. We also noted that all patients with complete revascularization survived well throughout the entire follow-up period.ConclusionsNeither rSS nor SRI could be good predictors of in-hospital MACE, while the rSS was a good predictor of MACE at two-year follow-up. Patients with rSS values > 12 had a significantly higher incidence of cumulative MACE after 2 years. The best prognosis was achieved with complete revascularization.

Cardiovascular Safety of Amphetamine/Dextroamphetamine versus Methylphenidate in Older Adults.

Background: Recent epidemiological data has shown a sharp increase in stimulant use among older adults, which is notable as older adults may be especially vulnerable to their cardiovascular effects. Results of recent studies have shown an increase in cardiovascular events among older adults using stimulants; however, little data exists comparing cardiovascular safety of these agents head-to-head. Objective: To determine if the incidence of serious cardiovascular events, including myocardial infarction (MI), stroke/transient ischemic attack (TIA), or arrhythmia, are different in patients taking amphetamine/dextroamphetamine compared with patients taking methylphenidate. Methods: Retrospective chart review of veterans 50years and older at the Veterans Affairs North Texas Health Care System (VANTHCS) who were first prescribed a stimulant between 2015 and 2021. The primary outcome was the difference in composite cardiovascular events between amphetamine/dextroamphetamine and methylphenidate. Secondary outcomes were the composite cardiovascular endpoints compared individually (MI, stroke/TIA, or arrhythmia). Hazard ratios were calculated based off of a time-to-event analysis displayed using a Kaplan-Meier curve for primary and secondary outcomes. Results: 466 veterans were screened for inclusion, 30 were excluded, and 436 were included. There was no difference found in composite cardiovascular events between the 241 veterans in the amphetamine/dextroamphetamine group and the 195 veterans in the methylphenidate group with 12 (5%) vs 8 (4.1%) events respectively (P = .6635). There was also no difference in time-to-event analysis (P = .4966). Conclusion: In elderly veterans, there was no difference found in incidence of major cardiovascular events with the use of amphetamine/dextroamphetamine compared with methylphenidate.

Influence of Socioeconomic Status on the Presence of Obstructive Coronary Artery Disease and Cardiovascular Outcomes in Patients Undergoing Invasive Coronary Angiography.

This retrospective study investigated the impact of socioeconomic status (SES) on patients at high risk of cardiovascular disease, focusing on obstructive coronary artery disease (CAD) presence and long-term cardiovascular outcomes in individuals undergoing invasive coronary angiography (ICA). Analyzing data from 9530 patients categorized by health insurance type (medical aid beneficiaries (MABs) as the low SES group; national health insurance beneficiaries (NHIBs) as the high SES group), this research explores the relationship between SES and outcomes. Despite a higher prevalence of cardiovascular risk factors, the MAB group exhibited similar rates of obstructive CAD compared to the NHIB group. However, over a median 3.5-year follow-up, the MAB group experienced a higher incidence of composite cardiovascular events, including cardiac death, acute myocardial infarction, coronary revascularization, and ischemic stroke, compared with the NHIB group (20.2% vs. 16.2%, p < 0.001). Multivariable Cox regression analysis, adjusting for potential confounders, revealed independently worse clinical outcomes for the MAB group (adjusted odds ratio 1.28; 95% confidence interval 1.07-1.54; p = 0.006). Despite comparable CAD rates, this study underscores the fact that individuals with low SES encounter an elevated risk of composite cardiovascular events, emphasizing the association between socioeconomic disadvantage and heightened susceptibility to cardiovascular disease, even among those already at high risk.

Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients.

Objective: To develop a risk score model for the occurrence of composite cardiovascular events (CVE) in patients with stable angina pectoris (SA) combined with coronary heart disease (CHD) by comparing the modeling effects of various machine learning (ML) algorithms. Methods: In this prospective study, 690 patients with SA combined with CHD attending the Department of Integrative Cardiology, China-Japan Friendship Hospital, from October 2020 to October 2021 were included. The data set was randomly divided into a training group and a testing group in a 7:3 ratio in the per-protocol set (PPS). Model variables were screened using the least absolute shrinkage selection operator (LASSO) regression, univariate analysis, and multifactor logistic regression. Then, nine ML algorithms are integrated to build the model and compare the model effects. Individualized risk assessment was performed using the SHapley Additive exPlanation (SHAP) and nomograms, respectively. The model discrimination was evaluated by receiver operating characteristic curve (ROC), the calibration ability of the model was evaluated by calibration plot, and the clinical applicability of the model was evaluated by decision curve analysis (DCA). This study was approved by the Clinical Research Ethics Committee of China-Japan Friendship Hospital (2020-114-K73). Results: 690 patients were eligible to finish the complete follow-up in the PPS. After LASSO screening and multifactorial logistic regression analysis, physical activity level, taking antiplatelets, Traditional Chinese medicine treatment, Gensini score, Seattle Angina Questionnaire (SAQ)-exercise capacity score, and SAQ-anginal stability score were found to be predictors of the occurrence of CVE. The above predictors are modeled, and a comprehensive comparison of the modeling effectiveness of multiple ML algorithms is performed. The results show that the Light Gradient Boosting Machine (LightGBM) model is the best model, with an area under the curve (AUC) of 0.95 (95% CI = 0.91-1.00) for the test set, Accuracy: 0.90, Sensitivity: 0.87, and Specificity: 0.96. Interpretation of the model using SHAP highlighted the Gensini score as the most important predictor. Based on the multifactorial logistic regression modeling, a nomogram, and online calculators have been developed for clinical applications. Conclusion: We developed the LightGBM optimization model and the multifactor logistic regression model, respectively. The model is interpreted using SHAP and nomogram. This provides an option for early prediction of CVE in patients with SA combined with CHD.

Heightened long-term cardiovascular risks after exacerbation of chronic obstructive pulmonary disease

ObjectiveTo examine the risk of adverse cardiovascular (CV) events following an exacerbation of chronic obstructive pulmonary disease (COPD).MethodsThis retrospective cohort study identified patients with COPD using administrative data from Alberta,...

Daylight Saving Time Practice and the Rate of Adverse Cardiovascular Events in the United States: A Probabilistic Assessment in a Large Nationwide Study

We investigated the association of daylight saving time (DST) transitions with the rates of adverse cardiovascular events in a large, US-based nationwide study. The study cohort included 36,116,951 unique individuals from deidentified administrative claims data of the OptumLabs Data Warehouse. There were 74,722 total adverse cardiovascular events during DST transition and the control weeks (2 weeks before and after) in spring and autumn of 2015-2019. We used Bayesian hierarchical Poisson regression models to estimate event rate ratios representing the ratio of composite adverse cardiovascular event rates between DST transition and control weeks. There was an average increase of 3% (95% uncertainty interval, −3% to −10%) and 4% (95% uncertainty interval, −2% to −12%) in adverse cardiovascular event rates during Monday and Friday of the spring DST transition, respectively. The probability of this being associated with a moderate-to-large increase in the event rates (estimate event rate ratio, >1.10) was estimated to be less than 6% for Monday and Friday, and less than 1% for the remaining days. During autumn DST transition, the probability of any decrease in adverse cardiovascular event rates was estimated to be less than 46% and a moderate-to-large decrease in the event rates to be less than 4% across all days. Results were similar when adjusted by age. In conclusion, spring DST transition had a suggestive association with a minor increase in adverse cardiovascular event rates but with a very low estimated probability to be of clinical importance. Our findings suggest that DST transitions are unlikely to meaningfully impact the rate of cardiovascular events.