Cardiology最新文献

Introduction: Thromboembolic events (TEs) associated with left ventricular (LV) thrombus (LVT) are of clinical concern; however, further investigation into their prevalence and risk predictors is warranted.

Methods: We retrospectively identified 256 patients diagnosed with LVT by echocardiography between 2010 and 2021. The primary outcome was the occurrence of TE, including stroke and arterial thromboembolism. Patients were divided into TE (+) and TE (-) groups for clinical comparison, with a focus on factors related to TE.

Results: The TE event rate was 9% over a median period of 4 ± 3 years. Notably, most TE occurred within 3 months and became scarce after 2 years of follow-up; based on this, LVT chronicity was defined as LVT persistency for ≥2 years. A prior TE history proved to be a positive predictor of TE (hazard ratio [HR]: 5.92, confidence interval [CI]: 1.45-24.18, p = 0.01), while LVT chronicity showed to be a negative predictor (HR: 0.04, CI: 0.01-0.15, p < 0.001). LVT chronicity accurately predicted TE (area under curve of 0.86 [95% CI: 0.80-0.93], cutoff value of 794 days [sensitivity: 69%, specificity: 91%]).

Conclusion: TE associated with LVT occurs in the early period of recognition, and a history of TE is an independent predictor for future TE. Once LVT becomes chronic (≥2 years), TE is rare.

Introduction: Heart failure (HF) may induce bowel hypoperfusion, leading to hypoxia of the villa of the bowel wall and the occurrence of Clostridioides difficile infection (CDI). However, the risk factors for the development of CDI in HF patients have yet to be fully illustrated, especially because of a lack of evidence from real-world data.

Methods: Clinical data and survival situations of HF patients with CDI admitted to ICU were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. For developing a model that can predict 28-day all-cause mortality in HF patients with CDI, the Recursive Feature Elimination with Cross-Validation (RFE-CV) method was used for feature selection. And nine machine learning (ML) algorithms, including logistic regression (LR), decision tree, Bayesian, adaptive boosting, random forest (RF), gradient boosting decision tree, XGBoost, light gradient boosting machine, and categorical boosting, were applied for model construction. After training and hyperparameter optimization of the models through grid search 5-fold cross-validation, the performance of models was evaluated by the area under curve (AUC), accuracy, sensitivity, specificity, precision, negative predictive value, and F1 score. Furthermore, the SHapley Additive exPlanations (SHAP) method was used to interpret the optimal model.

Results: A total of 526 HF patients with CDI were included in the study, of whom 99 cases (18.8%) experienced death within 28 days. Eighteen of the 57 variables were selected for the model construction algorithm for model construction. Among the ML models considered, the RF model emerged as the optimal model achieving the accuracy, F1-score, and AUC values of 0.821, 0.596, and 0.864, respectively. The net benefit of the model surpassed other models at 16%-22% threshold probabilities based on decision curve analysis. According to the importance of features in the RF model, red blood cell distribution width, blood urea nitrogen, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and white blood cell count were highlighted as the five most influential variables.

Conclusions: We developed ML models to predict 28-day all-cause mortality in HF patients associated with CDI in the ICU, which are more effective than the conventional LR model. The RF model has the best performance among all the ML models employed. It may be useful to help clinicians identify high-risk HF patients with CDI.

Introduction: People with HIV (PWH) have an increased risk of atherosclerotic cardiovascular disease (ASCVD) compared to non-PWH, but the reasons for this increased risk remain elusive. We investigated the change in ASCVD risk scores over 4 years to identify clinical factors associated with change in risk scores or high-risk scores.

Methods: We conducted a preliminary study using retrospective analysis of PWH, between 40 and 75 years old, seen at the Evelyn Jordan Center with at least two routine HIV visits. We collected clinical and demographic data and calculated the ASCVD risk scores using the Pooled Cohort Equation. Exploratory analyses examined change in risk score categories over time. Final adjusted analysis examined factors associated with change in continuous risk scores over time.

Results: Our sample included 187 PWH; 166 were black/African American and 79 were female. We found no significant change in ASCVD risk score over time. The risk score was significantly higher in PWH with hepatitis C (7.34%; 95% CI: 2.59, 12.09; p = 0.003) and trended higher in those with dual hepatitis B/C and hepatitis B compared to those without hepatitis (p = 0.07).

Conclusion: We found that ASCVD risk did not change over a 4-year period among predominantly black young PWH, but infection with hepatitis C and dual hepatitis B/C were associated with higher ASCVD risk scores. Our findings illustrate the need for further longitudinal studies evaluating change in cardiovascular disease (CVD) risk and investigating viral hepatitis as an added potential contributor to increased CVD risk in high-risk, vulnerable populations.

Introduction: Automatic implantable cardioverter-defibrillators (AICDs) for the primary prevention of sudden cardiac death have become standard care for patients with systolic heart failure (sHF) and ejection fraction ≤35%. While the prevalence of sHF and rates of hospitalization are higher in men, one would expect equivalent rates of implantation in women.

Methods: We used the Healthcare Cost and Utilization Project's National Inpatient Sample (NIS) from 2009 to 2018 to identify patient visits with sHF and AICD implantation. The comorbidities and outcomes were compared based on gender.

Results: There were 15,247,854 inpatient admissions for sHF, of which 60.3% were males (95% CI: 60.1%-60.4%) and 39.8% females (95% CI: 39.7%-39.9%). Approximately 2% of patients (294,726) underwent the insertion of an AICD for primary prevention: 72.3% males (95% CI: 71.9%-72.7%) and 27.72% females (95% CI: 27.3%-28.1%). There was no significant difference in age (p = 0.29), length of stay (p = 0.09), and inpatient mortality (p = 0.18).

Conclusion: In this study, women accounted for approximately 40% of patients admitted with the diagnosis of sHF; however, they accounted for less than 30% of patients who underwent the insertion of an AICD. Further research is needed to better understand this gender disparity and identify reasons for the lower rates of AICD placement in women.

Introduction: To explore the cytological characteristics of tetralogy of Fallot (TOF), we collected samples and investigated the differences in the cytological classification between normal fetal hearts and fetal hearts with congenital defects. We then performed single-cell sequencing analysis to search for possible differential genes of disease markers.

Methods: Here, the right ventricles of a heart sample with TOF and a healthy human fetal heart sample were analyzed through single-cell sequencing. Data quality control filtering, comparison, quantification, and identification of recovered cells on the raw data were performed using Cell Ranger, thereby ultimately obtaining gene expression matrices for each cell. Subsequently, Seurat was used for cell filtration, standardization, cell subgroup classification, differential expression gene analysis of each subgroup, and marker gene screening.

Results: Bioinformatic analysis identified 9,979 and 15,224 cells from the healthy and diseased samples, respectively, with an average read depth of 25,000/cell. The cardiomyocyte cell populations, derived from the abnormal samples identified through the first-level graph-based analysis, were separated into six distinct cell clusters.

Conclusion: Our study provides some information on TOF in a fetus, which can offer a new reference for the early detection and treatment of TOF by comparing defective heart cells with normal heart cells.

Introduction: Muscular ventricular septal defect occluders (MVSDOs) have been attempted as an option in low-weight patients with patent ductus arteriosus (PDA). However, few studies have assessed the safety of transcatheter patent ductus arteriosus closure (TCPC) using MVSDO. Therefore, we compared the outcomes in low-weight patients who used MVSDO and mushroom-shaped occluder (MSO).

Methods: Medical records of children under 10 kg (n = 417) who underwent TCPC from 2015 to 2021 at a Chinese health center were reviewed. They were divided into MSO (n = 372) and MVSDO (n = 45) groups. A 1:1 propensity score matching (PSM) was done considering gender, height, weight, body surface area (BSA), PDA diameter, and BSA-corrected PDA diameter.

Results: All 45 children in the MVSDO group (mean weight: 5.92 ± 1.32 kg) achieved successful immediate occlusion. One case in the MVSDO group experienced device migration within 24 h requiring unplanned surgery. MVSDO significantly ameliorated pulmonary artery hypertension. After PSM, each group comprised 41 children. The MVSDO group had a smaller effect on platelet counts (MVSDO vs. MSO = 259.85 ± 114.82 vs. 356.12 ± 134.37, p < 0.001), a reduced incidence of thrombocytopenia (MVSDO vs. MSO = 2/41 vs. 7/41, p = 0.001), and a higher rate of residual shunting (MVSDO vs. MSO = 16/41 vs. 5/41, p = 0.005), compared with the MSO group. Thrombocytopenia resolved during hospitalization and micro-shunts disappeared by 6 months. No pulmonary artery or descending aortic secondary stenosis was observed in 1-year follow-up.

Conclusions: MVSDO used in low-weight children is feasible, with high success and satisfactory postoperative and short-term follow-up outcomes, including lower thrombocytopenia incidence, compared to MSO. Further long-term studies with larger samples are recommended.

Introduction: Heart failure with improved ejection fraction (HFimpEF) is a recently defined subtype of HF, characterized by an increase in ejection fraction (EF) after a prior diagnosis of reduced EF. There are limited data on the characteristics and outcome of this patient subset. The study aimed to investigate the clinical profile and prognosis of this patient group.

Methods: HFimpEF patients from a large echocardiography database with comprehensive clinical and outcome data were evaluated for clinical characteristics and outcomes including mortality and cardiovascular hospitalizations. HFimpEF was defined as prior HF diagnosis with EF ≤40% followed by an EF increase of ≥10% to >40%.

Results: The study included 2,883 patients with an EF ≤40%. 27% (777) fulfilled criteria of HFimpEF. Non-ischemic cardiomyopathy, female sex, and smaller left ventricular dimensions were associated with EF improvement. Median follow-up duration was 1,346 days. Patients with HFimpEF had a significantly improved prognosis compared to those without EF improvement. Patients with a significant improvement in the EF (≥50%) experienced a 30% lower mortality rate (HR: 0.70, 95% CI: 0.57-0.86, p < 0.001) and a decreased risk of cardiovascular hospitalizations.

Conclusions: HFimpEF is a distinct clinical entity observed in 27% of patients with initially reduced EF and conveys a better prognosis. However, even with improvement, EF in most patients does not fully recover, and clinical events can still occur.

Introduction: There has been remarkable progress in both diagnosis and treatment of patients with congenital heart disease (CHD), with an increasing number of survivors. Whether patients with CHD are more likely to develop cancer is still a controversial issue. This study aimed to quantitatively estimate the association between patients with CHD and the risk of developing cancer through meta-analysis.

Methods: Web of Science, PubMed, and Embase databases were searched from inception to September 2023 to identify potentially relevant case-control studies and cohort studies that reported risk estimates and confidence intervals (CIs). RevMan software was used to analyze the pooled effect size and test for heterogeneity. The random effect and fixed effect models were applied to the study period. Egger's test was performed to examine publication bias.

Results: We analyzed six studies, consisting of 2 case-control studies and 4 cohort studies comprising 276,124 participants. The overall pooled hazard risk for cancer in patients with CHD was 1.71 (95% CI: 1.28-2.28; p < 0.01), with significant heterogeneity (I2 = 97%, p < 0.01). The quantitative analysis of studies indicates that patients with CHD have an increased risk of developing cancer, even after adjusting for chromosomal disorders.

Conclusion: Our study highlights the importance of controlling modifiable factors in cancer prevention and emphasizes the need for health education for patients with CHD in primary care. Given the limited number of studies included in this analysis, further research is needed to accurately quantify the cancer risk of exposed versus unexposed CHD.