Frontiers in Cardiovascular Medicine最新文献

Background: Women with heart failure with reduced ejection fraction (HFrEF) often experience worse clinical outcomes compared to men, including higher rates of mortality, hospitalization, and congestion. However, the effects of sacubitril/valsartan on these outcomes, as well as on ventricular tachyarrhythmias, have not been well studied in women with HFrEF.

Methods: This study included consecutive series of patients treated with sacubitril/valsartan at University Hospital Mannheim from 2016 to 2020. Baseline and follow-up data were compared between women and men. The endpoints included all-cause mortality, ventricular tachyarrhythmias, all-cause hospitalization, and congestion.

Results: A total of 246 patients were analyzed, comprising 50 (20.3%) women and 196 (79.7%) men. The study population consisted of 34.3% ambulatory patients and 65.7% hospitalized patients admitted for acute decompensated or symptomatic HF. The sex distribution was as follows: among women, 48.6% were ambulatory and 51.4% were hospitalized, while among men, 30.6% were ambulatory and 69.4% were hospitalized. Ischemic cardiomyopathy (ICM) was less common as a cause of heart failure (HF) in women than in men (32% vs. 57.7%, p = 0.001). During the 12-month follow-up, left ventricular ejection fraction (LVEF) improved more significantly in women than in men, increasing from 29.0% (10.0-45.0) to 40.0% (15.0-59.0) in women (p = 0.009) compared to an increase from 28.0% (3.0-65.0) to 33.0% (13.0-60.0) in men. There were no significant differences in all-cause mortality at 12-month between women and men (4% vs. 6.7%; p = 0.742). The results indicated no significant differences between the sexes in the incidence of ventricular tachyarrhythmias [ventricular fibrillation [VF] and sustained ventricular tachycardia [VT]] (4.5% vs. 0.6%; p = 0.121) (2.3% vs. 3.9%; p = 1.00), hospitalizations (70.2% vs. 67.8%; p = 0.769), congestion at 12-month follow-up (11.4% vs. 10.1%; p = 0.762). Female sex was not identified as a predictor for the occurrence of ventricular tachyarrhythmias or mortality rate at 12 months [hazard ratio (HR), 0.586; 95%-confidence interval (CI) 0.17-2.016; p = 0.397] (HR, 1.898; 95%-CI 0.381-9.464; p = 0.434).

Conclusion: Women with HFrEF treated with sacubitril/valsartan showed a greater improvement in LVEF compared to men, though clinical outcomes were similar across sexes. Female sex was not a predictor of ventricular tachyarrhythmias or mortality at 12 months.

Background: To investigate the risk factors for readmission of elderly patients with coronary artery disease, and to construct and validate a predictive model for readmission risk of elderly patients with coronary artery disease within 3 years by applying machine learning method.

Methods: We selected 575 elderly patients with CHD admitted to the Affiliated Lu'an Hospital of Anhui Medical University from January 2020 to January 2023. Based on whether patients were readmitted within 3 years, they were divided into two groups: those readmitted within 3 years (215 patients) and those not readmitted within 3 years (360 patients). Lasso regression and multivariate logistic regression were used to compare the predictive value of these models. XGBoost, LR, RF, KNN and DT algorithms were used to build prediction models for readmission risk. ROC curves and calibration plots were used to evaluate the prediction performance of the model. For external validation, 143 patients who were admitted between February and June 2023 from a different associated hospital in Lu'an City were also used.

Results: The XGBoost model demonstrated the most accurate prediction performance out of the five machine learning techniques. Diabetes, Red blood cell distribution width (RDW), and Triglyceride glucose-body mass index (TyG-BMI), as determined by Lasso regression and multivariate logistic regression. Calibration plot analysis demonstrated that the XGBoost model maintained strong calibration performance across both training and testing datasets, with calibration curves closely aligning with the ideal curve. This alignment signifies a high level of concordance between predicted probabilities and observed event rates. Additionally, decision curve analysis highlighted that both decision trees and XGBoost models achieved higher net benefits within the majority of threshold ranges, emphasizing their significant potential in clinical decision-making processes. The XGBoost model's area under the ROC curve (AUC) reached 0.903, while the external validation dataset yielded an AUC of 0.891, further validating the model's predictive accuracy and its ability to generalize across different datasets.

Conclusion: TyG-BMI, RDW, and diabetes mellitus at the time of admission are the factors affecting readmission of elderly patients with coronary artery disease, and the model constructed based on the XGBoost algorithm for readmission risk prediction has good predictive efficacy, which can provide guidance for identifying high-risk patients and timely intervention strategies.

Despite improvements in clinical outcomes of acute myocardial infarction (AMI), mortality rates remain high, indicating the need for further understanding of the pathogenesis and developing more effective cardiac protection strategies. Extracellular vesicles (EVs) carry proteins and noncoding RNAs (ncRNAs) derived from different cardiac cell populations, mainly including cardiomyocytes, endothelial cells, endothelial progenitor cells, cardiac progenitor cells, cardiosphere-derived cells, immune cells, fibroblasts and cardiac telocytes have vital roles under both physiological and pathological process such as myocardial infarction (MI). The content of EVs can also indicate the status of their parental cells and serve as a biomarker for monitoring the risk of cardiac injury. Examining these vesicles can offer fresh perspectives on the development of MI and assist in creating innovative treatments. Additionally, mesenchymal stem cells (MSCs) (MSC-EVs) derived EVs have been shown to have significant potential in cardiac regeneration. In this review, we will discuss the current understanding of the role of EVs in cardiac communication, with a focus on the perspectives of EVs from various cardiac cells and MSCs for their potential uses as cardiac therapies after MI.

Objectives: Previous studies have examined the relationship between cardiovascular diseases (CVDs) and blood metal levels. However, fewer studies have investigated the role of the combinations of blood metals on CVDs. In the current study, our aim is to explore the roles of specific blood metals and further develop a model to differentiate between healthy participants and CVD patients using database from the National Health and Nutrition Examination Survey (NHANES).

Methods: Data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2020 were collected and utilized in the present study. Demographic characteristics and examination results were gathered and analyzed to compare CVD and non-CVD participants. Logistic regression and random forest analyses were employed to determine the odds ratios and the effects of various blood metals on CVDs.

Results: A total of 23,448 participants were included and analyzed. Participants were divided into CVD (n = 2,676, 11.41%) and Non-CVD (N = 20,772, 88.59%) groups. A significant difference in the increased odds ratio of CVDs and higher blood Lead levels was found in the logistic analysis [OR (95% CI) = 13.545 (8.470-21.662) P < 0.001]. Although this significance blunted in the adjusted model, blood lead levels could be identified as the most important score through the random forest model in distinguishing cardiovascular diseases. In addition, the odds ratio of CVDs in logistic regression was 1.029 (95% CI: 1.022-1.035) for participants with higher blood cadmium levels (p < 0.001). The odds ratio increased [OR (95% CI) = 1.041 (95% CI: 1.032-1.049) P < 0.001] after the necessary adjustments were made for the gender, age, BMI, race and education background. In addition, blood selenium seems to be a protective factor of CVDs as the odds ratios were 0.650 and 0.786 in the crude and adjusted models, respectively. Additionally, the AUC was 0.91 in the predivtive model made by using the data of clinical indices and blood metals.

Conclusions: In summary, blood metals may play an important role in the onset and progression of CVDs, and they can be used to develop a predictive model for CVDs, which might be beneficial for the identification and early diagnosis of CVDs.

Introduction: This study aims to characterize the cardiovascular risk profile in countries with low-to-moderate cardiovascular mortality risk (Italy, Portugal, France, and Spain) using the SCORE2 and SCORE2-OP models. It also examines regional variations and the involvement of healthcare professionals in performing risk assessments.

Methods: A retrospective observational study was conducted using data from 24,434 cardiovascular risk assessments performed between December 2022 and July 2023 through a digital application used by physicians. The assessments used the SCORE2 model for individuals aged 40-69 and the SCORE2-OP model for those aged 70 and older. Risk stratification into "low-to-moderate," "high," and "very high" categories was analyzed based on individual risk factors such as age, smoking habits, systolic blood pressure, and cholesterol levels.

Results: Approximately 50%-60% of individuals in these countries were classified as having "high" or "very high" cardiovascular risk. The highest proportions were observed in Portugal (62.44%) and Italy (64.05%), while lower proportions were found in Spain (46.65%) and France (52.74%). Regional analysis identified areas with the highest cardiovascular risk, such as Portalegre in Portugal and Apulia in Italy. Key risk factors included older age, smoking, high systolic blood pressure, and high non-HDL cholesterol. General practitioners were the primary healthcare professionals conducting these assessments.

Discussion: The study highlights a significant proportion of individuals with "high" or "very high" cardiovascular risk in countries with low-to-moderate mortality risk. These findings underscore the need for targeted cardiovascular disease prevention strategies and the crucial role of general practitioners in managing cardiovascular risk.

Background: Deceleration capacity (DC) and acceleration capacity (AC) are used to characterize autonomic regulation. The purpose of this study was to evaluate the autonomic nervous function in patients with vasovagal syncope (VVS) and to evaluate the diagnostic value of DC and AC for VVS.

Methods: A total of 94 consecutive patients with VVS [51.0 (38.0-60.0) years; 48 males] and 76 healthy subjects [53.0 (44.3-62.8) years; 46 males] were recruited as controls. The study compared DC, AC, and heart rate variability (HRV) in 24-h ECG, echocardiogram, and biochemical examinations between the two groups.

Results: DC was significantly higher (9.3 ± 2.1 vs. 7.4 ± 1.4 ms, p < .001) and AC was lower (-9.3 ± 2.1 vs. -7.3 ± 1.3 ms, p < .001) in the syncope group compared to the control group. HRV indicators were higher in the syncope group. In multivariable analyses, DC [odds ratio = 1.746 (95% CI, 1.389-2.195); p < .001], AC [odds ratio = 0.553 (95% CI, 0.435-0.702); p < .001] were independently associated with syncope. Mean HR was associated with syncope only in patients <60 years of age. Receiver operating characteristics (ROC) curves showed areas under curve (AUC) of DC/AC for predicting syncope are 0.755/0.765 with sensitivity of 56.4%/60.6% and specificity of 93.4%/88.2%.

Conclusion: Patients with VVS exhibit higher DC and lower AC. Both DC and AC are independently correlated with syncope. A DC value >9.0 ms and an AC value -9.0 ms could potentially be valuable indicators for monitoring cardiac autonomic nervous dysfunction.

Background: Aetiological diagnosis and targeted antibiotic therapy are essential to improve the prognosis of patients with infective endocarditis. Molecular tests on blood have been reported to be effective in identifying the causative organism and are recommended when blood cultures are negative. The role of molecular tests on the surgically excised valve is still unclear and needs further investigation.

Materials and methods: In this prospective, observational, single center study, we enrolled 100 consecutive patients with native or prosthetic valve endocarditis who underwent cardiac surgery between April 2020 and June 2023. Results of preoperative blood cultures, valve culture, 16s ribosomal RNA and histopathologic analysis of surgical samples were collected in a dedicated database.

Results: The mean age of the study population was 60 ± 12.5 years, with a majority of men (73%). Previous cardiac surgery was reported in 31% of patients. Blood culture, valve culture, and 16srRNA were positive in 83%, 47%, and 76% of cases, respectively. The sensitivity of both valve culture and 16srRNA decreased significantly with prolonged preoperative antibiotic therapy. Of note, 16srRNA was the only positive result in 7% of cases, allowing aetiological diagnosis. In 33% of patients, the valve culture test was negative while the molecular test was positive. In these cases, histopathological analysis showed acute inflammation in most cases. In 10%, the molecular test helped in resolving discrepancies between the results of blood and valve cultures.

Conclusions: The molecular test showed significantly higher diagnostic sensitivity than valve culture and maintained this efficacy even after 28 days of preoperative antibiotic therapy. In addition to identifying the pathogen in 7% of cases with negative culture results, the molecular test demonstrated utility in other crucial situations. When valve cultures were negative, combining molecular testing and histopathological analysis they allowed the identification of patients who could benefit from prolonged antibiotic therapy. In addition, molecular testing guided the choice of antibiotic treatment when there was a discrepancy between blood culture and valve culture results. Based on these findings, molecular testing should be considered in all patients with infective endocarditis undergoing cardiac surgery. Clinical Trial Registration: ClinicalTrials.gov, identifier (NCT05791357).

Background: Surgical treatment of functional single ventricle combined with atrioventricular valve regurgitation remains a clinical challenge. The outcomes of atrioventricular valve repair in patients with single ventricle are limited.

Methods: A retrospective study was conducted of all 28 patients with functional single ventricle treated with single-ventricle palliation who underwent atrioventricular valve operation at the First Hospital of Tsinghua University between April 2007 and October 2022.

Results: In our cohort, the female/male ratio was 7:21, with an average age of 8.7 ± 6.0 (0.75-26) years. Half of patients (50%) were right-ventricle type for single-ventricle morphology. 18 patients (64.3%) were with a common atrioventricular valve. Twenty-three patients (82.1%) were combined with heterotaxy syndrome. Pre-operatively, twenty-four patients (85.7%) were diagnosed with severe atrioventricular valve regurgitation. AVV was repaired at the Glenn (n = 16, 57.1%), Glenn-Fontan (n = 2, 7.1%) and Fontan (n = 10, 35.7%) stage, respectively. Valve plastic techniques included valve annulus/commissure constriction (n = 24), clefts repair (9 cases), edge-to-edge suturing (13 cases) and common atrioventricular valve separation (4 cases). The early mortality was 3.6% (1/28). All survival patients were observed with improved regurgitation situations. Twenty-two patients (78.5%) were observed with no more than mild regurgitation postoperatively. The mean follow-up time was 5.4 ± 2.9 years (range, 3.08-11.83 years), with late mortality of 11.1% (3/27). All these three cases were observed with a severe regurgitation by echocardiogram in the last follow-up. Besides, reoperation rate of this cohort was 3.6% (1/28).

Conclusions: AVV repair could significantly improve AVV function in SV patients combined with severe AVVR, with satisfactory mid-term results. Part of the cohort showed poor prognosis due to repeated AVVR. Regular follow-up by echocardiogram is critically important for these patients.

Cardiac resynchronization therapy (CRT) offers significant benefits in symptom alleviation, reduction of rehospitalization rates, and overall survival of patients with heart failure (HF) with reduced ejection fraction (rEF). However, despite its proven efficacy, precisely identifying suitable CRT candidates remains a challenge, with a notable proportion of patients experiencing non-response. Accordingly, many attempts have been made to enhance patient selection, and to identify the best imaging parameters to predict the response and survival after CRT implantation. This review article provides a comprehensive overview on the role of multi-modality cardiac imaging in selecting, optimizing, and predicting CRT response and outcomes in HFrEF patients, beginning with an exploration of dyssynchrony types and their impact on HF progression, and an emphasis on the utility of echocardiography in assessing cardiac dyssynchrony. Subsequently, the role of advanced techniques such as speckle tracking and three-dimensional echocardiography, as well as the visual assessment of apical rocking (ApRock) and septal flash (SF) are highlighted. Finally, cardiac magnetic resonance (CMR) scar data, and novel modalities like four-dimensional flow CMR, together with single-photon emission computed tomography offer additional insights, emerging as valuable predictors of CRT response, and potentially refining the identification of suitable CRT candidates.

Objective: The left atrial stiffness index (LASI) holds significance in the atrioventricular coupling function and heart failure progression. To assess left atrial function and evaluate the relationship between LASI and exercise capacity in hypertension-related heart failure with preserved ejection fraction (HT-HFpEF).

Methods: The study involved 62 healthy subjects and 163 patients with HT (112 patients in simple HT group and 51 patients in HT-HFpEF group). Each patient performed exercise stress test and standard ultrasonic images were evaluated. A comprehensive evaluation of atrioventricular function, along with investigation into the correlation between these functional parameters and exercise capacity. And further to investigate the feasibility of predicting exercise intolerance using three-dimensional derived left atrial strain index (LASI) (E/e'/LASr and E/e'/LASr-c).

Results: Compared to healthy subjects, HT group demonstrated the elevation in left atrial volume accompanied by decrease in strain value (P < 0.05). In HT-HFpEF group, further significant reductions were observed in both longitudinal (LASr) and circumferential strain (LASr-c, LASct-c) (P < 0.05). Univariate regression demonstrated that both E/e'/LASr and E/e'/LASr-c were significantly correlated with metabolic equivalents (METs) (r = -0.462, P < 0.001; r = -0.381, P < 0.001). The E/e'/LASr demonstrates comparable diagnostic efficacy to exercise-E/e' in assessing exercise intolerance in HT-HFpEF patients (AUC: 0.836 vs. 0.867, P = 0.239).

Conclusion: Progressive LA remodeling contributes to decreased atrioventricular compliance in HT and HT-HFpEF patients.E/e'/LASr serves as an independent indicator of exercise intolerance in patients with HT-HFpEF.