Clinical Cardiology最新文献

Background: Clinical trials support dronedarone use for atrial fibrillation (AF) following catheter ablation (CA); however, comparative data on health care resource utilization (HCRU) with other antiarrhythmic drugs are lacking.

Methods: Retrospective analysis of Merative MarketScan databases (January 01, 2012-March 31, 2020) comparatively assessed HCRU in US adults with AF who received dronedarone or sotalol post-CA. Patients with ≥ 12-months' pre-CA data were followed from post-CA index treatment to disenrollment, death, or study end. Sotalol-treated patients were propensity score-matched (1:1) with dronedarone-treated patients. Events/100 patient-years (PY) were analyzed by univariate generalized-linear model with Poisson distribution. Cumulative incidence was analyzed over 12 months by Kaplan-Meier methods. Subgroup analyses were conducted by sex and patients new to dronedarone or sotalol during 12 months pre-CA.

Results: Dronedarone and sotalol cohorts were successfully matched (n = 1600 each). Prevalence/100-PY for all-cause, cardiovascular (CV)-related, and atrial tachyarrhythmia (ATA)/AF-related HCRU was lower in dronedarone versus sotalol cohort (all p < 0.05). Cumulative incidence for all-cause, CV-related, ATA/AF-related hospitalizations, and pacemaker implantation was lower in dronedarone versus sotalol cohort (all p < 0.05). Incidence of all-cause and CV-related hospitalizations was lower in dronedarone versus sotalol cohorts in females (n = 460) and males (n = 1115) (all p < 0.05) after rematching. Incidence of ATA/AF-related hospitalization was lower in males versus females receiving dronedarone. For patients new to dronedarone or sotalol (n = 549), HCRU results were generally consistent with primary analyses.

Conclusion: Post-CA dronedarone, versus sotalol, lowered CV-related HCRU in all-comers with AF and in sex subgroups. Findings may contribute to clinical decision making post-CA in patients with AF.

Objective: To evaluate the clinical efficacy and safety of noninvasive positive pressure ventilation combined with pressure support ventilation (NPPV-PSV) in the treatment of chronic heart failure (CHF) through a meta-analysis.

Methods: A systematic search was conducted using PubMed, Embase, Web of Science, Cochrane Library, CNKI and Wanfang databases to find randomized controlled trials and cohort studies on NPPV-PSV treatment for CHF. The period of search was set from inception until 2024. Eligible studies were included in a systematic review and meta-analysis.

Results: A total of 8 studies with 568 patients were included in this meta-analysis. The meta-analysis revealed that compared with conventional treatment, NPPV-PSV treatment had significant advantages in several aspects: clinical efficacy rate (total effect Z = 5.10, OR = 3.12, 95% confidence interval (CI) [2.01, 4.83], p = 0.000), heart rate (HR) (total effect Z = 16.26, MD = -10.50, 95% CI [-11.76, -9.23], p = 0.000), respiratory rate (RR) (total effect Z = 16.50, MD = -6.44, 95% CI [-7.20, -5.67], p = 0.000) and oxygen saturation (total effect Z = 12.40, MD = 0.09, 95% CI [0.08, 0.11], p = 0.000).

Conclusion: Noninvasive positive pressure ventilation combined with PSV treatment significantly improves clinical symptoms, reduces HR and RR and increases oxygen saturation in patients with CHF, showing superior effects compared with conventional treatment.

Background: Parkinson disease (PD) and cardiovascular diseases (CVD) present significant health burdens, particularly among older adults. Patients with PD have an elevated risk of CVD-related mortality. Analyzing mortality trends in this population may help guide focused interventions.

Methods: Mortality data were extracted from the CDC WONDER database, using ICD-10 code G20 for PD and I00-I99 for CVD. Age-adjusted mortality rates (AAMR) per 100,000 were calculated and trends were examined across variables including gender, year, race, and urbanization, place of death, region, and state. Annual percentage change (APC) with 95% confidence intervals (CI) was computed using Joinpoint regression.

Results: A total of 138 151 CVD-related deaths were reported among individuals with PD. The AAMR decreased from 23.5 in 1999 to 12.7 in 2020, with a notable decline between 1999 and 2014 (APC: -5.13; 95% CI, -5.44 to -4.86), followed by a modest increase from 2014 to 2020 (APC: 1.37; 95% CI, 0.16-3.05). Males exhibited higher AAMRs compared to females (Male AAMR: 22.6 vs. Female AAMR: 10.4). Non-Hispanic (NH) Whites had the highest AAMR (16.1), followed by Hispanics (11.2), NH Asians (10.2), and NH Blacks (9.7). Nonmetropolitan areas showed a higher AAMR (16.3) compared to metropolitan areas (14.9). State-level analysis indicated Nebraska with the highest AAMR (21.4), while Georgia recorded the lowest (9.9).

Conclusions: CVD-related mortality in PD patients has declined overall, though rates rose slightly from 2014 to 2020. Gender, racial, and geographic disparities highlight the need for targeted strategies to reduce cardiovascular risks in this population.

Background: Left ventricular assist devices (LVADs) are utilized as a therapeutic option for patients with end-stage heart failure. While LVAD implantation can enhance survival rates and quality of life, the procedure has its risks, and postoperative complications are common. This review aims to investigate whether there is an association between living in a rural area and the incidence of postoperative complications or hospital readmissions following LVAD implantation, compared to urban LVAD recipients.

Methods: A comprehensive literature review examined studies that compared postoperative outcomes between rural and urban LVAD recipients. Data on adverse events, hospitalizations, and mortality rates were extracted, focusing on the impact of geographic location on these outcomes.

Results: The review found that rural LVAD recipients may be at a higher risk for certain complications, including gastrointestinal bleeding, ventricular arrhythmias, LVAD complications, and stroke. Rural patients also exhibited higher instances of emergency department visits and hospital readmissions. Despite these challenges, survival rates and heart transplantation outcomes at 1 year were similar between rural and urban recipients. However, rural patients exhibited a higher driveline infection rate at 1 year.

Conclusion: The findings of this review suggest that rural residency may be associated with an increased risk of certain postoperative complications and hospital readmissions following LVAD implantation. These results highlight the need for healthcare strategies to address the challenges faced by rural LVAD recipients. Further research is necessary to understand the relationship between geographic location and LVAD outcomes and to develop interventions that can improve postoperative care for this vulnerable population.

Background: The efficiency of machine learning (ML) based predictive models in predicting in-hospital mortality for heart failure (HF) patients is a topic of debate. In this context, this study's objective is to conduct a meta-analysis to compare and assess existing prognostic models designed for predicting in-hospital mortality in HF patients.

Methods: A systematic search of databases was conducted, including PubMed, Embase, Web of Science, and Cochrane Library up to January 2023. To ensure comprehensiveness, we performed an additional search in June 2023. The Prediction Model Risk of Bias Assessment Tool was employed to assess the validity and reliability of ML models.

Results: Our analysis incorporated 28 studies involving a total of 106 predictive models based on 14 different ML techniques. In the training data set, these models showed a combined C-index of 0.781, sensitivity of 0.56, and specificity of 0.94. In the validation data set, the models exhibited a combined C-index of 0.758, sensitivity of 0.57, and specificity of 0.84. Logistic regression (LR) was the most frequently used ML algorithm. LR models in the training set had a combined C-index of 0.795, sensitivity of 0.63, and specificity of 0.85, and these measures for LR models in the validation set were 0.751, 0.66, and 0.79, respectively.

Conclusions: Our study indicates that although ML is increasingly being leveraged to predict in-hospital mortality for HF patients, the predictive performance remains suboptimal. Although these models have relatively high C-index and specificity, their ability to predict positive events is limited, as indicated by their low sensitivity.

Background: Hypertension, a leading global risk factor for mortality and disability, disproportionately affects racial and ethnic minorities. Our study investigates the association between the type of prior antihypertensive medication use and the likelihood of cardiovascular events (CVE) and assesses whether the patient's race influences this relationship.

Methods: A retrospective study of 14 836 hypertension cases aged ≥ 40 years was conducted using data from HCA Healthcare between 2017 and 2023. Logistic regression was employed to predict the likelihood of CVE and mortality at admission, adjusting for baseline comorbidities, with Race added as an effect modifier. Interaction analysis was performed among races based on antihypertensive medication types.

Results: African American patients on ACE inhibitors (ACE) or angiotensin receptor blockers (ARBs) were 1.7 times more likely to have cardiovascular events (CVE) compared to those on calcium channel blockers (CCBs) and 0.66 times as likely compared to diuretics. CCB users had a lower CVE risk than diuretic users. Among White patients, ACE/ARB users had a 1.18 times higher CVE risk than CCB users and 0.45 times lower compared to diuretics, while CCBs offered a 0.38 times lower risk than diuretics. Only ACE/ARB use showed significantly higher CVE odds for African Americans compared to White patients, with similar risks across racial groups for CCBs and diuretics.

Conclusion: Prior antihypertensive type significantly influenced CVE risk, with race as an effect modifier. CCB users had lower CVE odds than ACE/ARBs or diuretics, and ACE/ARBs showed reduced CVE likelihood compared to diuretics in both racial groups.

Should we rely on anticoagulation monitoring in ECMO patients or simply flip a coin? The increasing use of anti-factor Xa activity to monitor the effect of UFH appears appropriate, given its moderate correlation with the UFH infusion rates, and it may play a role in preventing thromboembolic events. However, to avoid bleeding complications, more sophisticated tools, and careful clinical decision-making remain essential.