Current Issue : April-June Volume : 2024 Issue Number : 2 Articles : 5 Articles
Background. Hypertrophic cardiomyopathy (HCM) has different complications such as cardiac arrhythmia and sudden cardiac death (SCD). Insertion of an implantable cardioverter defibrillator (ICD) is recommended for HCM patients who are at high risk of SCD and malignant arrhythmias, despite having their own potential complications. Hypothesis. We aimed to investigate the prevalence of different complications of ICD insertion and the impact of the potential influential baseline characteristics in a one-year follow-up period. Methods. This was a retrospective study with a total of 71 HCM patients with ICD insertion. We evaluated the prevalence of different complications of ICD implantation and the impact of baseline characteristics on the occurrence of ICD complications using multivariate regression analysis in three 4-month periods. Results. In a one-year follow-up, 13 patients (18.3%) experienced at least one of the complications including pneumothorax, lead failure, ICD infection, inappropriate shocks, perforation, and upper limb deep vein thrombosis (DVT) with no mortality. Inappropriate shocks were reported as the most common (11.3%) complication during this period, with a gradual increase in the second (4.2%) and third (5.6%) follow-up sessions. Among all of the baseline characteristics that were investigated in this study, a positive history of hypertension was the only risk factor with significant impact on the occurrence of complications (P = 0.01). Conclusion. We demonstrated the occurrence of complications during a one-year follow-up as 18.3% in HCM patients with ICD insertion. A positive history of hypertension was the only baseline characteristic affecting the occurrence of complications, and inappropriate shocks were the most common complication....
Background: Surgical site infections (SSIs) remain a challenging medical problem, especially in cardiac surgery patients. There is a lack of studies evaluating the rate of and outcomes of SSIs following cardiac surgeries in Saudi Arabia. Aims: This study aimed to determine the incidence of SSIs after adult cardiac surgeries that were done in Madinah Cardiac Center, Saudi Arabia. Further, to identify the outcomes and risk factors contributing to death among surgical site infection patients. Methods: This was a 6-year, single-center, retrospective cohort study that included 93 consecutive patients who underwent adult cardiac surgery between August 2016 and August 2022. All adult patients aged 18 years or older who had clinical evidence of postoperative surgical wound infection were included. Preoperative, operative, and postoperative data (early and late) were collected from medical records. Microbiological culture reports and clinical outcomes were also recorded. Results: The study revealed a 9.1% (93/1021) incidence rate of SSIs. Of the 93 patients with SSIs, 60 had superficial incisional infections and 33 had deep infections with incidence rates of 5.9% and 3.2%, respectively. In-hospital mortality due to SSI was recorded in 4 out of 93 patients with an incidence rate of 4.3%. There was a significant association between the in-hospital mortality and the type of SSIs (p = 0.014). All non-survivors had deep SSIs. The type of cardiac surgery also showed a significant association with the in-hospital mortality (p = 0.017). Furthermore, the median duration of antibiotic administration was significantly longer in the non-survivors than in the survivors (72.5 vs 17, respectively, p < 0.001). Conclusions: In conclusion, the incidence of surgical wound infections following cardiac surgery is not low (9.1%); of which 3.2% were deep infections. The in-hospital mortality rate after treatment of SSIs was fortunately low (4.3%), and all non-survivors had deep SSIs. The nonsurvivors showed a significantly longer duration of antibiotics administration than survivors. Combined CABG and valve procedures showed a higher mortality rate (75%) than the isolated procedures....
Objective Inflammation and immune cells are closely intertwined mechanisms that contribute to the progression of heart failure (HF). Nonetheless, there is a paucity of information regarding the distinct features of dysregulated immune cells and efficient diagnostic biomarkers linked with HF. This study aims to explore diagnostic biomarkers related to immune cells in HF to gain new insights into the underlying molecular mechanisms of HF and to provide novel perspectives for the detection and treatment of HF. Method The CIBERSORT method was employed to quantify 22 types of immune cells in HF and normal subjects from publicly available GEO databases (GSE3586, GSE42955, GSE57338, and GSE79962). Machine learning methods were utilized to screen for important cell types. Single-cell RNA sequencing (GSE145154) was further utilized to identify important cell types and hub genes. WGCNA was employed to screen for immune cell-related genes and ultimately diagnostic models were constructed and evaluated. To validate these predictive results, blood samples were collected from 40 normal controls and 40 HF patients for RT-qPCR analysis. Lastly, key cell clusters were divided into high and low biomarker expression groups to identify transcription factors that may affect biomarkers. Results The study found a noticeable difference in immune environment between HF and normal subjects. Macrophages were identified as key immune cells by machine learning. Single-cell analysis further showed that macrophages differed dramatically between HF and normal subjects. This study revealed the existence of five subsets of macrophages that have different differentiation states. Based on module genes most relevant to macrophages, macrophage differentiation-related genes (MDRGs), and DEGs in HF and normal subjects from GEO datasets, four genes (CD163, RNASE2, LYVE1, and VSIG4) were identified as valid diagnostic markers for HF. Ultimately, a diagnostic model containing two hub genes was constructed and then validated with a validation dataset and clinical samples. In addition, key transcription factors driving or maintaining the biomarkers expression programs were identified. Conclusion The analytical results and diagnostic model of this study can assist clinicians in identifying high-risk individuals, thereby aiding in guiding treatment decisions for patients with HF....
Background This meta-analysis was conducted to evaluate the efficacy of the treat-repair-treat (TRT) strategy in the treatment of severe pulmonary arterial hypertension with congenital heart disease (PAH-CHD). Methods PubMed, EMBASE, Cochrane and Web of Science online databases were searched by two independent investigators for studies that used the TRT strategy for PAH-CHD, and the retrieved studies were reviewed by a third investigator. The main outcomes were pulmonary artery pressure (PAP), pulmonary vascular resistance (PVR), 6-minute walk distance (6MWD), and transcutaneous oxygen saturation (SpO2). The changes were compared between followup and baseline. Stata version 14.0 was used for data analysis. A random-effects model was selected for meta-analysis. Subgroup analysis and meta-regression were used to find the source of heterogeneity. Results A total of 335 patients from 9 single-arm studies were included. Meta-analysis showed significant reductions in PAP and PVR and improvements in 6MWD and SpO2 (PAP: SMD -2.73 95% CI -2.97, − 2.50 p = < 0.001; PVR: SMD -1.27 95% CI -1.53, − 1.02 p = < 0.001; 6MWD: SMD 1.88 95% CI 1.49, 2.27 p = < 0.001; SpO2: SMD 3.72 95% CI 3.13, 4.32 p = < 0.001). Subgroup analysis showed that younger patients had better efficacy, and the change in SpO2 was an indication for patient selection. The combined mortality rate was 5% at follow-up. Conclusions In this meta-analysis, we demonstrated that the TRT strategy may have positive effects on haemodynamics and cardiac function in patients with severe PAH-CHD at short-term follow-up. Our analysis suggests that changes in age and SpO2 may be related to patient prognosis....
Background In this study, we evaluated the predictive utility of neutrophil percentage-to-albumin ratio (NPAR) for all-cause mortality in patients with chronic heart failure (CHF). Methods Patients diagnosed as CHF enrolled in this retrospective cohort study were from Beijing Chaoyang Hospital, capital medical university. Admission NPAR was calculated as neutrophil percentage divided by serum albumin. The endpoints of this study were defined as 90-day, 1-year and 2-year all-cause mortality. Multivariable Cox proportional hazard regression model was performed to confirm the association between NPAR and all-cause mortality. Receiver operating characteristics (ROC) curves were used to evaluate the ability for NPAR to predict all-cause mortality. Results The 90-day (P = 0.009), 1-year (P < 0.001) and 2-year (P < 0.001) all-cause mortality in 622 patients with CHF were increased as admission NPAR increased. Multivariable Cox regression analysis found the higher NPAR value was still independently associated with increased risk of 90-day (Group III versus Group I: HR, 95% CI: 2.21, 1.01–4.86, P trend = 0.038), 1-year (Group III versus Group I: HR, 95% CI:2.13, 1.30–3.49, P trend = 0.003), and 2-year all-cause mortality (Group III versus Group I: HR, 95% CI:2.06, 1.37–3.09, P trend = 0.001), after adjustments for several confounders. ROC curves revealed that NPAR had a better ability to predict all-cause mortality in patients with CHF, than either albumin or the neutrophil percentage alone. Conclusions NPAR was independently correlated with 90-day, 1-year, and 2-year all-cause mortality in patients with CHF....
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