Cardiac magnetic resonance imaging-derived pathophysiology and prognosis of diabetes mellitus with acute myocardial infarction after revascularization: a prospective cohort study.

BACKGROUND: Little is known about the underlying factors contributing to unfavourable clinical outcomes in patients with diabetes mellitus (DM) complicated by new-onset acute myocardial infarction (AMI). The aim of this study was to investigate the impact of DM on the pathophysiologic features and prognosis of patients with new-onset AMI following successful revascularization by utilizing cardiac magnetic resonance (CMR). METHODS: Consecutive patients diagnosed with new-onset AMI between June 2022 and January 2024 were included. All patients underwent culprit vessel revascularization upon admission and CMR imaging 3-7 days later. The primary clinical endpoint of this study was the occurrence of major adverse cardiac and cerebrovascular events (MACCEs), for which the average follow-up was 10 months. RESULTS: A total of 72 patients were divided into a DM group (n = 23) and a non-DM group (n = 49). Multivariate logistic regression analysis revealed that DM was an independent risk factor for the occurrence of microvascular obstruction. Multivariate linear regression analysis found that DM was the influencing factor of global radial strain (B = -4.107, t = -2.328, p = 0.023), while fasting blood glucose influenced infarct segment myocardial radial strain (B = -0.622, t = -2.032, p = 0.046). DM independently contributed to the risk of MACCEs following successful revascularization in patients with AMI (p < 0.05). CONCLUSION: Comprehensive phenotypic characterization of myocardial injury and microcirculatory status could enable reliable identification of high-risk MACCEs in DM patients with new-onset AMI following successful revascularization.

Prevalence of cardiovascular events among transgender adults with obesity: A population-based analysis.

Introduction: Although obesity and its impact on cardiovascular (CV) events have been extensively studied in the cisgender population, little is known about its impact on CV events in transgender individuals. Our study aimed to establish the prevalence of obesity and CV events in transgender adults. Methods: We conducted a retrospective cohort comparative study utilizing the U.S. National Inpatient Sample 2020 database. We identified admissions of transgender patients with administrative codes. Later, these patients were divided into obesity and non-obesity cohorts. Multivariable regression analysis was then performed for in-hospital all-cause mortality, acute myocardial infarction, acute ischemic stroke, cardiac arrest, pulmonary embolism and, major adverse cardiovascular and cerebrovascular events (MACCE). Results: In 2020, 19,345 transgender patients were admitted; 16,390 (84.7 %) had no obesity, and 2,955 (15.3 %) had obesity. The median age was 31 years in the non-obesity cohort and 37 years in the obesity cohort. Transgender men comprised 54.5 % of the non-obesity cohort and 47.9 % of the obesity cohort. Common baseline conditions in the non-obesity and obesity cohorts, respectively, included hypertension (20.7 % vs. 43.5 %), diabetes (10.2 % vs. 32.5 %), chronic pulmonary disease (18.9 % vs. 27.7 %), and hyperlipidemia (11.5 % vs. 25 %). MACCE was observed in 2.3 % of the non-obesity cohort compared to 5.4 % in the obesity cohort, and cardiac arrest occurred in 0.2 % of the non-obesity cohort versus 1.2 % in the obesity cohort. A statistically significant association was found in MACCE [odds ratio (OR) 2.1, 95 % confidence interval (CI) 1.24-3.55, p = 0.006] and cardiac arrest [OR 3.92, 95 % CI 1.11-12.63, p = 0.022] among transgender patients with obesity. Conclusion: We observed increased odds of MACCE and cardiac arrest in transgender patients with obesity, possibly due to obesity and CV risk factors like hypertension, diabetes, and hyperlipidemia. Further large-scale comparative studies are needed to better understand obesity's impact on CV outcomes in the transgender population.

Clinical outcomes among patients with mitral valve regurgitation undergoing Impella-supported high-risk PCI.

BACKGROUND: Mitral valve regurgitation (MR) is associated with worse outcomes in patients undergoing percutaneous coronary intervention (PCI). We sought to evaluate outcomes of Impella-supported high-risk PCI (HRPCI) patients according to MR severity. METHODS: Patients from the PROTECT III study undergoing Impella-supported HRPCI were stratified into 4 groups according to MR severity: No or trace MR, mild MR, moderate MR, and severe MR. Immediate PCI-related complications, major adverse cardiovascular and cerebrovascular events (MACCE: all-cause death, myocardial infarction, stroke/transient ischemic attack, and repeat revascularization) at 90 days and death at 1-year were assessed. RESULTS: From March 2017 to March 2020, 631 patients who underwent Impella-supported HRPCI in the PROTECT III study had evaluable MR severity at baseline. Patients with severe MR had lower body mass indices, lower left ventricular ejection fractions (LVEFs), and were more frequently diagnosed with heart failure. The incidence of immediate PCI-related complications was similar between groups. Unadjusted 90-day MACCE and 1-year mortality rates were numerically higher in patients with severe MR compared to the other study groups yet without reaching statistical significance. In multivariable analyses, there was no significant association between the presence of severe MR for 90-day MACCE or 1-year mortality compared with other degrees of MR (adj. HR = 1.71, 95% CI [0.73, 3.98], p = 0.21; adj. HR = 1.79, 95% CI [0.86, 3.74], p = 0.12, respectively). CONCLUSIONS: Impella-supported HRPCI patients with moderate or severe MR exhibited a higher prevalence of heart failure, lower LVEF, and longer hospital stays. Patients with severe MR showed numerically higher unadjusted rates of 90-day MACCE and 1-year mortality compared to other groups, however these differences did not reach statistical significance even after adjustment for potential confounders. CLINICAL TRIAL INFORMATION: Trial Name: The Global cVAD Study (cVAD) ClinicalTrial.govIdentifier:NCT04136392 URL: https://clinicaltrials.gov/ct2/show/NCT04136392?term=cvad&draw=2&rank=2.

Impact of initial high sensitivity C-reactive protein on outcomes in nonvalvular atrial fibrillation: an observational study.

Aim: The index study aimed to investigate the clinical impact of initial high-sensitivity C-reactive protein (hs-CRP) on outcomes in nonvalvular atrial fibrillation (AF). Methods: Single-center, prospective, observational study recruiting all recently diagnosed treatment-naive AF patients. Hs-CRP was measured at baseline and patients were followed for 24 months. Results: A total of 126 patients with a mean age of 66.2 (±12.0) years were enrolled. The composite outcome of major adverse cardiac or cerebrovascular events (MACCE) occurred in 19 (17.7%) at 24 months. Raised initial hs-CRP emerged as an independent predictor of MACCE on regression analysis (OR: 1.569, 95% CI: 1.289-1.912; p < 0.001). Conclusion: Raised hs-CRP was an independent predictor of MACCE at 24 months. It allows for early identification of high-risk patients.

Atrial fibrillation (AF) is the most common cause of irregular heartbeat in adults. It has a significant association with clot formation in the heart and acute vessel closure throughout the vascular system particularly of the brain causing stroke. Stroke has a significant impact on quality of life and also is associated with an increased likelihood of death. Inflammation has been linked to the development and progression of AF. In this study, we evaluated the role of a simple inflammatory blood parameter ­ high sensitivity C-reactive protein (hs-CRP) with adverse outcomes in 126 AF patients at our center over a period of 2 years. We concluded that hs-CRP was an independent predictor of worse cardiovascular outcomes in AF patients and can help in the earlier identification of high-risk patients, for whom appropriate measures can be taken to prevent adverse events.

Multimodal Data Integration Enhance Longitudinal Prediction of New-Onset Systemic Arterial Hypertension Patients with Suspected Obstructive Sleep Apnea.

Background: It is crucial to accurately predict the disease progression of systemic arterial hypertension in order to determine the most effective therapeutic strategy. To achieve this, we have employed a multimodal data-integration approach to predict the longitudinal progression of new-onset systemic arterial hypertension patients with suspected obstructive sleep apnea (OSA) at the individual level. Methods: We developed and validated a predictive nomogram model that utilizes multimodal data, consisting of clinical features, laboratory tests, and sleep monitoring data. We assessed the probabilities of major adverse cardiac and cerebrovascular events (MACCEs) as scores for participants in longitudinal cohorts who have systemic arterial hypertension and suspected OSA. In this cohort study, MACCEs were considered as a composite of cardiac mortality, acute coronary syndrome and nonfatal stroke. The least absolute shrinkage and selection operator (LASSO) regression and multiple Cox regression analyses were performed to identify independent risk factors for MACCEs among these patients. Results: 448 patients were randomly assigned to the training cohort while 189 were assigned to the verification cohort. Four clinical variables were enrolled in the constructed nomogram: age, diabetes mellitus, triglyceride, and apnea-hypopnea index (AHI). This model accurately predicted 2-year and 3-year MACCEs, achieving an impressive area under the receiver operating characteristic (ROC) curve of 0.885 and 0.784 in the training cohort, respectively. In the verification cohort, the performance of the nomogram model had good discriminatory power, with an area under the ROC curve of 0.847 and 0.729 for 2-year and 3-year MACCEs, respectively. The correlation between predicted and actual observed MACCEs was high, provided by a calibration plot, for training and verification cohorts. Conclusions: Our study yielded risk stratification for systemic arterial hypertension patients with suspected OSA, which can be quantified through the integration of multimodal data, thus highlighting OSA as a spectrum of disease. This prediction nomogram could be instrumental in defining the disease state and long-term clinical outcomes.

Association of Preprocedural SYNTAX Score With Outcomes in Impella-Assisted High-Risk Percutaneous Coronary Intervention.

Background: Patients with complex coronary artery disease, as defined by high SYNTAX scores, undergoing percutaneous coronary intervention (PCI) have poorer outcomes when compared with patients with lower SYNTAX I scores. This study aimed to assess if mechanical circulatory support using Impella mitigates the effect of the SYNTAX I score on outcomes after high-risk percutaneous coronary intervention (HRPCI). Methods: Using data from the PROTECT III study, patients undergoing Impella-assisted HRPCI between March 2017 and March 2020 were divided into 3 cohorts based on SYNTAX I score-low (≤22), intermediate (23-32), and high (≥33). Procedural and clinical outcomes out to 90 days were compared between groups. Multivariable regression analysis was used to assess the impact of SYNTAX I score on major adverse cardiovascular and cerebrovascular events (MACCE) at 90 days. Results: A total of 850 subjects with core laboratory-adjudicated SYNTAX I scores were identified (low: n = 310; intermediate: n = 256; high: n = 284). Patients with high SYNTAX I scores were older than those with low or intermediate SYNTAX I scores (72.7 vs 69.7 vs 70.1 years, respectively; P < .01). After adjustment for covariates, high SYNTAX I score remained a significant predictor of 90-day MACCE (hazard ratio [HR], 2.14; 95% CI, 1.42-3.69; P < .01 vs low), whereas intermediate SYNTAX I score was not (HR, 0.92; 95% CI, 0.47-1.77; P = .80 vs low). These findings persisted after adjustment for post-PCI SYNTAX I score. Conclusions: A high SYNTAX I score was associated with higher rates of 90-day MACCE in patients who underwent Impella-assisted HRPCI. Further research is needed to understand the patient and procedural factors driving this finding.

Prognostic value of serum immunoglobulin M levels in patients with acute coronary syndrome.

BACKGROUND AND AIMS: The immuno-inflammatory response is a crucial early step in the development of acute coronary syndrome (ACS). In this study, we investigated whether immunoglobulin M (IgM) in the body's initial immune response can predict the prognosis of patients with ACS. METHODS: This prospective cohort study enrolled 1556 ACS patients at Beijing Hospital between March 2017 and October 2020. All patients underwent coronary angiography (CAG). The serum IgM concentration and biochemical indicators were evaluated prior to CAG. The primary endpoint was the composite endpoint of major adverse cardiovascular and cerebrovascular events (MACCEs). Multivariate Cox proportional hazards models was used to explore the association between IgM levels and the endpoint. RESULTS: The average serum IgM levels of the population was 61.3 (42.6-88.4) mg/dL. During the median follow-up period of 55 months, 150 MACCEs occurred. Kaplan-Meier analysis showed that low serum IgM levels were associated with occurrence of MACCEs (log-rank p = 0.009). Univariate Cox proportional hazards models showed that low serum IgM (≤78.05 mg/dL) was associated with MACCEs (hazard ratio (HR) 1.648, 95 % confidence interval (CI): 1.129-2.406, p = 0.010). In patients with IgM ≤78.05 mg/dL, the HR for partially adjusted MACCEs events was 1.576 (95 % CI: 1.075-2.310) and 1.930 (95 % CI: 1.080-3.449) after adjusting for multiple covariates. The subgroup analysis showed that for patients in ≤24 BMI, never smoking and non-dyslipidemia subgroup, the lower serum IgM levels was significantly associated with the risk of MACCEs (pinteraction < 0.001, pinteraction = 0.037, pinteraction = 0.024, respectively). CONCLUSIONS: Low serum IgM levels was independently associated with MACCEs in ACS patients, especially for patients without obesity, smoking and dyslipidemia.

Impact of coronary collateralization on major adverse cardiovascular and cerebrovascular events after successful recanalization of chronic total occlusion.

Aims: This study aims to investigate the effects of coronary collateral circulation (CCC) on the prognosis of chronic total occlusion (CTO) patients with or without metabolic syndrome (MetS). Methods: The study included 342 CTO patients who underwent successful percutaneous coronary intervention at the People's Hospital of Liaoning Province between 1 February 2021 and 30 September 2023. The Rentrop score was used to assess the status of CCC. The outcome was major adverse cardiovascular and cerebrovascular events (MACCEs), defined as a composite of all-cause mortality, cardiac death, non-fatal myocardial infarction (MI), target vessel revascularization (TVR), and non-fatal stroke. Univariate and multivariate logistic analyses were used to investigate the association of CCC, MetS, and MACCEs with odds ratios (ORs) and 95% confidence intervals (CIs). The effect of CCC was further investigated in different MetS, diabetes mellitus (DM), and Syntax score groups. Results: MACCEs were more common in patients with poor CCC compared to those with good CCC (38.74% vs. 16.56%). Statistical differences were found in MACCEs (OR = 3.33, 95% CI: 1.93-5.72), MI (OR = 3.11, 95% CI: 1.73-5.58), TVR (OR = 3.06, 95% CI: 1.70-5.53), and stent thrombosis (OR = 6.14, 95% CI: 2.76-13.65) between the good and poor CCC groups. Poor CCC patients with MetS had a higher incidence of MACCEs (OR = 4.21, 95% CI: 2.05-8.65), non-fatal MI (OR = 4.44, 95% CI: 2.01-9.83), TVR (OR = 3.28, 95% CI: 1.51-7.11), and stent thrombosis (OR = 10.80, 95% CI: 3.11-37.54). Similar findings were also observed in CTO patients with DM and a Syntax score ≥23. Conclusion: Poor CCC could increase the risk of MACCEs in CTO patients, particularly those with MetS, DM, and a Syntax score ≥23. Further prospective, multicenter studies are needed to validate our findings and to explore potential therapeutic interventions.

Cerebrovascular events and thrombolysis in pulmonary embolism-induced cardiac arrest: a case series and key challenges.

BACKGROUND AND PURPOSE: Cerebrovascular events during thrombolysis in cardiac arrest (CA) caused by pulmonary embolism (PE) is a life-threatening condition. However, the balance between cerebrovascular events and thrombolytic therapy in PE-induced CA remains a great challenge. METHODS: In this study, we reported three unique cases regarding main concerns surrounding cerebrovascular events in thrombolytic therapy in PE-induced CA. RESULTS: The patient in the case 1 treated with thrombolysis during CPR and finally discharged neurologically intact. The patient in the case 2 received delayed thrombolysis and died eventually. The patient in the case 3 was contraindicated to thrombolysis due to the complication of subarachioid hemorrahage and died within days. CONCLUSIONS: Our case series highlights three proposed approaches to consider before administering thrombolysis as a treatment option in PE-induced CA patients: (1) prolonging the resuscitation, (2) administering thrombolysis promptly, and (3) ruling out cerebrovascular events.

HR-MRI-based nomogram network calculator to predict stroke recurrence in high-risk non-disabling ischemic cerebrovascular events patients.

Background and objective: To investigate the use of high-resolution magnetic resonance imaging (HR-MRI) to identify the characteristics of culprit plaques in intracranial arteries, and to evaluate the predictive value of the characteristics of culprit plaques combined with the modified Essen score for the recurrence risk of high-risk non-disabling ischemic cerebrovascular events (HR-NICE) patients. Methods: A retrospective analysis was conducted on 180 patients with HR-NICE at the First Affiliated Hospital of Xinxiang Medical University, including 128 patients with no recurrence (non-recurrence group) and 52 patients with recurrence (recurrence group). A total of 65 patients with HR-NICE were collected from the Sixth Affiliated Hospital of Shanghai Jiaotong University as a validation group, and their modified Essen scores, high-resolution magnetic resonance vessel wall images, and clinical data were collected. The culprit plaques were analyzed using VesselExplorer2 software. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for recurrence, and a nomogram was constructed using R software to evaluate the discrimination of the model. The area under the curve (AUC) of the receiver operating characteristic curve (ROC) was used to evaluate the model performance. Calibration curves and Decision Curve Analysis (DCA) were used to evaluate the model efficacy. Results: Intra-plaque hemorrhage (OR = 3.592, 95% CI = 1.474-9.104, p = 0.006), homocysteine (OR = 1.098, 95% CI = 1.025-1.179, p = 0.007), and normalized wall index (OR = 1.114, 95% CI = 1.027-1.222, p = 0.015) were significantly higher in the recurrent stroke group than in the non-recurrent stroke group, and were independent risk factors for recurrent stroke. The performance of the nomogram model (AUC = 0.830, 95% CI: 0.769-0.891; PR-AUC = 0.628) was better than that of the modified Essen scoring model (AUC = 0.660, 95% CI: 0.583-0.738) and the independent risk factor combination model (AUC = 0.827, 95% CI: 0.765-0.889). The nomogram model still had good model performance in the validation group (AUC = 0.785, 95% CI: 0.671-0.899), with a well-fitting calibration curve and a DCA curve indicating good net benefit efficacy for patients. Conclusion: High-resolution vessel wall imaging combined with a modified Essen score can effectively assess the recurrence risk of HR-NICE patients, and the nomogram model can provide a reference for identifying high-risk populations with good clinical application prospects.

In-hospital outcomes in COVID-19 patients with non-alcoholic fatty liver disease by severity of obesity: Insights from national inpatient sample 2020.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) increases the risk of cardiovascular diseases independently of other risk factors. However, data on its effect on cardiovascular outcomes in coronavirus disease 2019 (COVID-19) hospitalizations with varied obesity levels is scarce. Clinical management and patient care depend on understanding COVID-19 admission results in NAFLD patients with varying obesity levels. AIM: To study the in-hospital outcomes in COVID-19 patients with NAFLD by severity of obesity. METHODS: COVID-19 hospitalizations with NAFLD were identified using International Classification of Disease -10 CM codes in the 2020 National Inpatient Sample database. Overweight and Obesity Classes I, II, and III (body mass index 30-40) were compared. Major adverse cardiac and cerebrovascular events (MACCE) (all-cause mortality, acute myocardial infarction, cardiac arrest, and stroke) were compared between groups. Multivariable regression analyses adjusted for sociodemographic, hospitalization features, and comorbidities. RESULTS: Our analysis comprised 13260 hospitalizations, 7.3% of which were overweight, 24.3% Class I, 24.1% Class II, and 44.3% Class III. Class III obesity includes younger patients, blacks, females, diabetics, and hypertensive patients. On multivariable logistic analysis, Class III obese patients had higher risks of MACCE, inpatient mortality, and respiratory failure than Class I obese patients. Class II obesity showed increased risks of MACCE, inpatient mortality, and respiratory failure than Class I, but not significantly. All obesity classes had non-significant risks of MACCE, inpatient mortality, and respiratory failure compared to the overweight group. CONCLUSION: Class III obese NAFLD COVID-19 patients had a greater risk of adverse outcomes than class I. Using the overweight group as the reference, unfavorable outcomes were not significantly different. Morbid obesity had a greater risk of MACCE regardless of the referent group (overweight or Class I obese) compared to overweight NAFLD patients admitted with COVID-19.

Clinical outcomes and associated factors in patients who underwent percutaneous coronary intervention: a multicenter study in Ethiopia.

AIMS: This study aimed to evaluate the clinical outcomes and associated factors in patients who underwent percutaneous coronary intervention (PCI). METHODS: This five-year retrospective cross-sectional study analyzed data from 241 patients who underwent urgent and primary PCI. Outcome measures included in-hospital mortality, major adverse cardiac and cerebrovascular events (MACCEs), postprocedural complications, and survival rates. Data were analysed using the Statistical Package for Social Sciences version 25. Cox proportional hazard regression models were used to assess predictors of in-hospital mortality. Kaplan-Meier analysis and the log-rank test were used to assess the overall survival rates and median survival time and to compare the survival probability curves for independent predictors. Hazard ratios (HRs) and 95% confidence intervals (CIs) were presented. RESULTS: One hundred forty-two patients underwent elective PCI with drug-eluting stent implantation (75.1%) as the reperfusion method. The in-hospital mortality and non-fatal MACCE rates were 3.7% and 24.1%, respectively. The predictors of in-hospital mortality were female sex (AHR = 8.39, 95% CI: 1.20-58.68, p = 0.03), preprocedural obesity (AHR = 6.54, 95% CI: 1.10-40.60, p = 0.04), previous myocardial infarction (AHR = 9.68, 95% CI: 1.66-56.31, p = 0.01), chronic heart failure (AHR = 9.21, 95% CI: 1.38-61.78, p = 0.02), and a previous history of stroke (AHR = 18.99, 95% CI: 1.59-227.58, p = 0.02). Notably, this study reported a high one-year survival rate. CONCLUSION: Urgent and primary PCIs are critical interventions for patients with MI in Ethiopia, showing promising outcomes such as low in-hospital mortality and a high one-year survival rate. These findings underscore the importance of optimising access to PCI and related treatments to improve patient outcomes.

Antithrombotic Therapy in Patients With Infective Endocarditis: A Systematic Review and Meta-Analysis.

Background: Antithrombotic therapy (ATT) in patients with infective endocarditis (IE) is challenging. Objectives: The authors evaluated the impact of anticoagulant and antiplatelet therapy on clinical endpoints in IE patients. Methods: We performed a systematic review and meta-analysis comparing IE patients with prior and/or ongoing use of ATT vs those without any ATT during IE course. Primary outcome was reported in-hospital cerebrovascular events. Secondary outcomes were in-hospital mortality, intracranial hemorrhage (ICH), systemic thromboembolism (ST), and mortality within 6 months. Results: Twelve studies, with a total of 12,151 patients, were included. The primary endpoint was not different comparing 10,115 IE patients with or without prior anticoagulation (OR: 1.10; 95% CI: 0.56-2.17; P = 0.77) or comparing 838 IE patients with or without prior antiplatelet (OR: 0.90; 95% CI: 0.61-1.33; P = 0.61). In-hospital mortality was lower in IE patients with prior anticoagulation compared to those without (OR: 0.74; 95% CI: 0.57-0.96; P = 0.03). There was no difference in reported ICH rates between patients with or without prior anticoagulation (OR: 0.54; 95% CI: 0.27-1.09; P = 0.09) or between patients with or without prior antiplatelet (OR: 0.35; 95% CI: 0.11-1.10; P = 0.07). The rate of ST was lower in IE patients with prior antiplatelet therapy compared to those without (OR: 0.53; 95% CI: 0.38-0.72; P < 0.01). Conclusions: ATT in IE patients was not associated with higher frequency of cerebrovascular events or ICH. Moreover, we found that the use of anticoagulation was associated with decreased in-hospital mortality and the use of antiplatelets was associated with decreased ST. Due to the limitations of this study, these results should be interpreted cautiously showing the necessity of a randomized setup.

Impact of maximum phonation time on postoperative dysphagia and prognosis after cardiac surgery.

Objective: The incidence of postoperative complications, including dysphagia, increases as the population undergoing cardiovascular surgery ages. This study aimed to explore the potential of maximum phonation time (MPT) as a simple tool for predicting postextubation dysphagia (PED) and major adverse cardiac and cerebrovascular events (MACCEs). Methods: This retrospective study included 442 patients who underwent elective cardiac surgery at a university hospital. MPT was measured before surgery, and patients were stratified into 2 groups based on normal and abnormal MPTs. Postoperative complications, including PED and MACCEs, were also investigated. Swallowing status was assessed using the Food Intake Level Scale. Results: MPT predicted PED with prevalence of 11.0% and 18.0% in the normal and abnormal MPT groups, respectively (P = .01). During the follow-up period, MACCEs developed in 17.0% of patients. Frailty, European System for Cardiac Operative Risk Evaluation II score, PED, and MPT were markedly associated with MACCEs (adjusted hazard ratios: 2.25, 1.08, 1.96, and 0.96, respectively). Mediation analysis revealed that MPT positively influenced PED and MACCEs, whereas PED positively influenced MACCEs. The trend in restricted cubic spline analysis indicated that the hazard ratio for MACCEs increased sharply when MPT was <10 seconds. Conclusions: These findings underscore the potential of MPT as a valuable tool in the preoperative assessment and management of patients undergoing cardiac surgery. By incorporating MPT into routine preoperative evaluations, clinicians can identify patients at a higher risk of PED and MACCEs, allowing for targeted interventions and closer postoperative monitoring. This may improve patient outcomes and reduce the health care costs associated with these complications.

Patients with Atrial Fibrillation are Unlikely to Benefit from Aspirin Monotherapy.

Background: Aspirin (ASA), the mainstay antiplatelet treatment in patients with cardiovascular disease (CVD), has been received by a considerable number of AF patients. This study sought to examine the association between ASA monotherapy and the risk of major adverse cardiac and cerebrovascular events (MACCE) in patients with atrial fibrillation (AF). Methods: A total of 850 patients with AF were identified from a community-based Kailuan study. All patients were assigned to two groups according to their medicine history: an aspirin therapy group (ASA group) (n = 174), and a non-aspirin therapy group (non-ASA group) (n = 676). The clinical endpoints are MACCE, including myocardial infarction (MI), ischemic stroke (IS), and hemorrhagic stroke (HS). Incidence curves for MACCE were plotted using the Kaplan-Meier method, and the Log rank test was used to assess the differences in incidence rates. The hazard ratios (HR) and 95% confidence intervals (CI) for MACCE were analyzed using Cox proportional-hazards analysis regression models. Results: During the 7.2-year follow-up, 30 MACCE occurred in the ASA group, and 101 in the non-ASA group, with a cumulative incidence of 19.88% vs 17.27%, P = 0.511; 3 cases of MI occurred in the ASA group, and 18 cases in the non-ASA group, with a cumulative incidence of 1.78% vs 2.90%, P = 0.305. Twenty-seven cases of IS occurred in the ASA group, and 84 cases in the non-ASA group, with a cumulative incidence of 1.78% vs 2.90%, P = 0.305. Eight cases of HS occurred in the ASA group, and 13 cases in the non-ASA group, with a cumulative incidence of 5.01% vs 2.34%, P = 0.045. Multivariate regression analysis showed that ASA therapy was not associated with MACCE (HR: 1.130, 95% CI: 0.747-1.710, P = 0.562). In addition, ASA therapy was not associated with IS (HR: 1.309, 95% CI: 0.843-2.034, P = 0.231). However, ASA therapy was significantly associated with HS (HR: 2.563, 95% CI: 1.024-6.418, P = 0.044). Conclusion: ASA monotherapy is not associated with a lower risk of ischemic events, while significantly associated with a higher risk of bleeding events. Patients with AF are unlikely to benefit from aspirin monotherapy.

Risk factors for cardiovascular and cerebrovascular events in patients with uremia and hypertension during maintenance hemodialysis.

OBJECTIVES: This study aimed to investigate risk factors for major adverse cardiovascular and cerebrovascular events (MACCEs) in patients with uremia and hypertension during maintenance hemodialysis (MHD). METHODS: Clinical data of patients with uremia and refractory hypertension admitted to Changzhou Fourth People's Hospital (Changzhou Tumor Hospital) from February 2018 to February 2022 were retrospectively collected and analyzed. All patients were treated with MHD and categorized into an MACCE group and a non-MACCE group according to whether MACCEs occurred during the treatment cycle. Univariate analysis and multivariate logistic regression analysis were applied to identify the risk factors for MACCEs in the patients during the treatment period. RESULTS: (1) A total of 156 patients were included in this study, among whom 75 patients were in the MACCE group and 81 in the non-MACCE group, with an MACCE incidence of 48.08%. (2) Diabetes, body mass growth rate, triglyceride (TG), N-terminal pro-brain natriuretic peptide (NT-proBNP), as well as the standard deviation (SD) and coefficient of variability (CV) for both systolic (SBP) and diastolic blood pressure (DBP) showed significant differences between the two groups, with P<0.05. (3) Diabetes, body mass growth rate ≥5.54%, TG≥1.40 mmol/L, NT-proBNP≥5.82 ng/L, SBP-SD≥13.52, SBP-CV≥8.63, DBP-SD≥8.14, and DBP-CV≥8.82 were found to be risk factors for MACCEs in the patients. CONCLUSIONS: The incidence of MACCEs in patients with uremia and hypertension during MHD was associated with diabetes, body mass growth rate, TG, NT-proBNP, SBP-SD, SBP-CV, DBP-SD, and DBP-CV.Early screening for high-risk patients and positive intervention measures should be given to reduce the risk of MACCEs to enhance the safety of dialysis procedures.

Rising Trends in Metabolically Healthy Obesity in Cancer Patients and Its Impact on Cardiovascular Events: Insights from a Contemporary Nationwide Analysis in the USA (2016-2020).

Background: Obesity or overweight raises the risk of developing 13 types of cancer, representing 40% of all cancers diagnosed in the United States annually. Given the ongoing debate surrounding the impact of metabolically healthy obesity (MHO) on cardiovascular outcomes, it is crucial to comprehend the incidence of Major Adverse Cardiovascular and Cerebrovascular Events (MACCEs) and the influence of MHO on these outcomes in cancer patients. Methods: Data of hospitalized cancer patients with and without obesity were analyzed from the National Inpatient Sample 2016-2020. Metabolically healthy patients were identified by excluding diabetes, hypertension, and hyperlipidemia using Elixhauser comorbidity software, v.2022.1. After that, we performed a multivariable regression analysis for in-hospital MACCEs and other individual outcomes. Results: We identified 3,111,824 cancer-related hospitalizations between 2016 and 2020. The MHO cohort had 199,580 patients (6.4%), whereas the MHnO (metabolically healthy non-obese) cohort had 2,912,244 patients (93.6%). The MHO cohort had a higher proportion of females, Blacks, and Hispanics. Outcomes including in-hospital MACCEs (7.9% vs. 9.5%; p < 0.001), all-cause mortality (6.1% vs. 7.5%; p < 0.001), and acute myocardial infarction (AMI) (1.5% vs. 1.6%; p < 0.001) were lower in the MHO cohort compared to the MHnO cohort. Upon adjusting for the baseline characteristics, the MHO group had lower odds of in-hospital MACCEs [adjusted odds ratio (AOR) = 0.93, 95% CI (0.90-0.97), p < 0.001], all-cause mortality [AOR = 0.91, 95% CI (0.87-0.94); p < 0.001], and acute ischemic stroke (AIS) [AOR = 0.76, 95% CI (0.69-0.84); p < 0.001], whereas there were higher odds of acute myocardial infarction (AMI) [AOR = 1.08, 95% CI (1.01-1.16); p < 0.001] and cardiac arrest (CA) [AOR = 1.26, 95% CI (1.01-1.57); p = 0.045] in the MHO cohort compared to the MHnO cohort. Conclusions: Hospitalized cancer patients with MHO exhibited a lower prevalence of in-hospital MACCEs than those with MHnO. Additional prospective studies and randomized clinical trials are imperative to validate these findings, particularly in stratifying MHO across various cancer types and their corresponding risks of in-hospital MACCEs.

Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque.

Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality. Given the multifaceted impact of this disease, there has been increasing interest in harnessing artificial intelligence (AI) and radiomics as complementary tools for the quantitative analysis of medical imaging data. This integrated approach holds promise not only in refining medical imaging data analysis but also in optimizing the utilization of radiologists' expertise. By automating time consuming tasks, AI allows radiologists to focus on more pertinent responsibilities. Simultaneously, the capacity of AI in radiomics to extract nuanced patterns from raw data enhances the exploration of carotid atherosclerosis, advancing efforts in terms of (1) early detection and diagnosis, (2) risk stratification and predictive modeling, (3) improving workflow efficiency, and (4) contributing to advancements in research. This review provides an overview of general concepts related to radiomics and AI, along with their application in the field of carotid vulnerable plaque. It also offers insights into various research studies conducted on this topic across different imaging techniques.

Aldosterone is Associated With New-onset Cerebrovascular Events in Patients With Hypertension and White Matter Lesions: A Cohort Study.

OBJECTIVE: White matter lesions (WMLs) increase the risk of stroke, stroke recurrence, and death. Higher plasma aldosterone concentration (PAC) increases the risk of stroke, acute myocardial infarction, and hypertension. The objective is to evaluate the relationship between PAC and cerebrovascular events in patients with hypertension and WMLs. METHODS: We conducted a retrospective cohort study that included 1041 participants hospitalized. The outcome was new-onset cerebrovascular events including intracerebral hemorrhage and stroke. A Cox regression model was used to evaluate the relationship between baseline PAC and the risk of cerebrovascular events. RESULTS: The mean age of participants was 60.9 ± 10.2 years and 565 (53.4%) were males. The median follow-up duration was 42 months (interquartile range: 25-67), and 92 patients experienced new-onset cerebrovascular events. In a multivariate-adjusted model, with PAC as a continuous variable, higher PAC increased the risk of cerebrovascular events; patient risk increased per 1 (hazard ratio [HR: 1.03], 95% confidence interval [CI]: 1.01-1.06, P < .01), per 5 (HR: 1.17, 95% CI: 1.06-1.31, P < .01), and per 10 ng/dL (HR: 1.41, 95%: 1.14-1.75, P < .01) increase in PAC. When PAC was expressed as a categorical variable (quartile: Q1-Q4), patients in Q4 (HR: 2.12, 95% CI: 1.18-3.79, P < .05) exhibited an increased risk of cerebrovascular events compared to Q1. Restrictive spline regression showed a linear association between PAC and the risk of new-onset cerebrovascular events after adjusting for all possible variables. CONCLUSIONS: Our study identified a linear association between PAC and the risk of new-onset cerebrovascular events in patients with hypertension and WMLs.