Sex differences on outcomes following left atrial appendage occlusion in atrial fibrillation: A systematic review and meta-analysis.

There is a lack of sufficient data on sex-related differences in outcomes of nonvalvular atrial fibrillation (AF) patients following left atrial appendage occlusion (LAAO). We conducted a meta-analysis to investigate the procedural complications and long-term outcomes after LAAO in women versus men. We screened Medline, EMBASE, Cochrane Center Register of Controlled Trials, and Clinical Trials.gov. The inclusion criteria were studies targeting the sex-related differences in outcomes in nonvalvular AF patients treated by LAAO. Procedural endpoints of interest included success rate, pericardial complications, major bleeding, and vascular complications during hospitalization. Long-term outcomes included all-cause mortality and ischemic stroke during follow-up. Studies that merely considered sex in the subgroup analysis were not included. Six observational studies with a total of 64,035 patients were identified. The procedural success rates did not differ between sexes (odds ratio [OR]: 0.98, 95% confidence interval [CI]: 0.89-1.09, p = 0.77), while women experienced more pericardial complications (OR: 1.78, 95% CI: 1.58-2.01, p < 0.00001), major bleedings (OR: 2.04, 95% CI: 1.75-2.39, p < 0.00001), and vascular complications (OR: 1.75, 95% CI: 1.41-2.17, p < 0.00001) than men. The sensitivity analysis performed by removing the largest study showed good stability. The long-term mortality and stroke rates did not differ between women and men in either the 1-year subgroup or the 2-year subgroup. In conclusion, despite comparable procedural success rates, women have a significantly higher incidence of pericardial complications, major bleeding, and vascular complications following LAAO. The long-term mortality and stroke rates do not differ between the sexes.

Blood Urea Nitrogen for Short-Term Prognosis in Patients with Cardiogenic Shock Complicating Acute Myocardial Infarction.

Purpose: Cardiogenic shock (CS) is the leading cause of death in patients with acute myocardial infarction (AMI). Our study aimed to evaluate the short-term prognostic value of admission blood urea nitrogen (BUN) in patients with CS complicating AMI. Materials and Methods: 218 consecutive patients with CS after AMI were enrolled. The primary endpoint was 30-day mortality. The association of admission BUN and 30-day mortality and major adverse cardiovascular event (MACE) was investigated by Cox regression. The integrated discrimination improvement (IDI) and net reclassification improvement (NRI) further examined the predictive value of BUN. Results: During a period of 30-day follow-up, 105 deaths occurred. Compared to survivors, nonsurvivors had significantly higher admission BUN (p < 0.001), creatinine (p < 0.001), BUN/creatinine (p = 0.03), and a lower glomerular filtration rate (p < 0.001). The area under the curve (AUC) of the 4 indices for predicting 30-day mortality was 0.781, 0.734, 0.588, and 0.773, respectively. When compared to traditional markers associated with CS, the AUC for predicting 30-day mortality of BUN, lactate, and left ventricular ejection fraction were 0.781, 0.776, and 0.701, respectively. The optimal cut-off value of BUN for predicting 30-day mortality was 8.95 mmol/L with Youden-Index analysis. Multivariate Cox analysis indicated BUN >8.95 mmol/L was an important independent predictor for 30-day mortality (HR 2.08, 95%CI 1.28-3.36, p = 0.003) and 30-day MACE (HR 1.85, 95%CI 1.29-2.66, p = 0.001). IDI (0.053, p = 0.005) and NRI (0.135, p = 0.010) showed an improvement in the accuracy for mortality prediction of the new model when BUN was included compared with the standard model of predictors in previous scores. Conclusion: An admission BUN >8.95 mmol/L was robustly associated with increased short-term mortality and MACE in patients with CS after AMI. The prognostic value of BUN was superior to other renal markers and comparable to traditional markers. This easily accessible index might be promising for early risk stratification in CS patients following AMI.

Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratification of STEMI patients using machine learning algorithms. METHODS: A total of 1355 STEMI patients who underwent percutaneous coronary intervention were enrolled in this study during 2015-2018. Unsupervised machine learning (consensus clustering) was applied to the present cohort to classify patients into different lipid expression phenogroups, without the guidance of clinical outcomes. Kaplan-Meier curves were implemented to show prognosis during a 904-day median follow-up (interquartile range: 587-1316). In the adjusted Cox model, the association of cluster membership with all adverse events including all-cause mortality, all-cause rehospitalization, and cardiac rehospitalization was evaluated. RESULTS: All patients were classified into three phenogroups, 1, 2, and 3. Patients in phenogroup 1 with the highest Lp(a) and the lowest HDL-C and apoA1 were recognized as the statin-modified cardiovascular risk group. Patients in phenogroup 2 had the highest HDL-C and apoA1 and the lowest TG, TC, LDL-C and apoB. Conversely, patients in phenogroup 3 had the highest TG, TC, LDL-C and apoB and the lowest Lp(a). Additionally, phenogroup 1 had the worst prognosis. Furthermore, a multivariate Cox analysis revealed that patients in phenogroup 1 were at significantly higher risk for all adverse outcomes. CONCLUSION: Machine learning-based cluster analysis indicated that STEMI patients with increased concentrations of Lp(a) and decreased concentrations of HDL-C and apoA1 are likely to have adverse clinical outcomes due to statin-modified cardiovascular risks. TRIAL REGISTRATION: ChiCTR1900028516 ( http://www.chictr.org.cn/index.aspx ).

Prognostic value of neutrophil-lymphocyte ratio in cardiogenic shock complicating acute myocardial infarction: A cohort study.

BACKGROUNDS: Cardiogenic shock (CS) is the most severe complication after acute myocardial infarction (AMI) with mortality above 50%. Inflammatory response is involved in the pathology of CS and AMI. In this study, we aimed to evaluate the prognostic value of admission neutrophil-lymphocyte ratio (NLR) in patients with CS complicating AMI. METHODS: Two hundred and seventeen consecutive patients with CS after AMI were divided into two groups according to the admission NLR cut-off value ≤7.3 and >7.3. The primary outcome was 30-day all-cause mortality and the secondary end-point was the composite events of major adverse cardiovascular events (MACE), including all-cause mortality, ventricular tachycardia/ventricular fibrillation, atrioventricular block, gastrointestinal haemorrhage and non-fatal stroke. Cox proportional hazard models were performed to analyse the association of NLR with the outcome. NLR cut-off value was determined by Youden index. RESULTS: Patients with NLR > 7.3 were older and presented with lower lymphocyte count, higher admission heart rate, B-type natriuretic peptide, leucocyte, neutrophil and creatinine (all P < .05). During a period of 30-day follow-up after admission, mortality in patients with NLR > 7.3 was significantly higher than in patients with NLR ≤ 7.3 (73.7% vs. 26.3%, P < .001). The incidence of MACE was also remarkably higher in patients with NLR > 7.3 (87.9% vs. 53.4%, P < .001). After multivariable adjustment, NLR > 7.3 remained an independent predictor for higher risk of 30-day mortality (HR 2.806; 95%CI 1.784, 4.415, P < .001) and MACE (HR 2.545; 95%CI 1.791, 3.617, P < .001). CONCLUSIONS: Admission NLR could be used as an important tool for short-term prognostic evaluation in patients with CS complicating AMI and higher NLR is an independent predictor for increased 30-day all-cause mortality and MACE.

Ventricular septal rupture after acute myocardial infarction in a patient with venous thromboembolism complicated by thrombocytopenia: A case report.

A woman that suffered burns previously presented with leg swelling and was diagnosed with venous thromboembolism. Heparin was given until she suddenly developed myocardial infarction. Ventricular septal rupture was detected and managed by transcatheter closure. She developed massive bleeding and extensive thrombosis that made treatment paradoxical and eventually died.

Ivabradine in patients with acute ST-elevation myocardial infarction: a meta-analysis of randomized controlled trials.

BACKGROUND: Elevated resting heart rate (HR) predicts poor outcomes in patients with coronary artery disease. Ivabradine has been recommended as a second-line anti-anginal agent in chronic coronary syndrome, while there are no clear indications for acute ST-elevation myocardial infarction (STEMI). RESULTS: We systematically searched PubMed, Medline, EMBASE, Clinical Trials.gov, and the Cochrane Central Register of Controlled Trials with search terms Ivabradine and Acute myocardial infarction. There are two study outcomes from this study: therapeutic and safety effects. Therapeutic effects include the efficacy of Ivabradine on HR, all-cause mortality, heart failure incidence, left ventricular function and remodeling. Safety effects include troponin levels and ischemic events (recurrent angina pectoris). A total of 6 RCTs was included and showed that Ivabradine was associated with greater resting HR reduction [MD - 5.40; 95%CI - 8.60, - 2.20], improvement of left ventricular ejection fraction [MD 2.98; 95%CI 0.44, 5.51], and left ventricular end systolic volume [MD - 3.81; 95%CI - 6.88, - 0.75]. However, Ivabradine had no impact on all-cause mortality [OR 0.76; 95%CI 0.35, 1.67], heart failure incidence [OR 0.61; 95%CI 0.21, 1.80], and recurrent angina pectoris [OR 0.71; 95%CI 0.50, 1.00]. CONCLUSIONS: Ivabradine is safe and effective for resting HR reduction in patients with STEMI; however, it has no significant influence on mortality. These results suggest that an elevated HR is only a marker of risk but not a modifiable determinant of outcomes in patients who have suffered an acute myocardial infarction.

The Association of Thyroid Hormones With Cardiogenic Shock and Prognosis in Patients with ST Segment Elevation Myocardial Infarction (STEMI) Treated with Primary PCI.

BACKGROUND: Cardiogenic shock (CS) is the leading cause of the death in patients with ST elevation myocardial infarction (STEMI). Thyroid dysfunction is related to prognosis of patients with myocardial infarction. Hence, the aim of this study is to explore the relationship between thyroid hormones (free triiodothyronine [FT3] and free thyroxine [FT4]) and CS. METHODS: A total of 1270 patients with STEMI treated with percutaneous coronary intervention (PCI) were consecutively enrolled in our study. Patients were classified into two groups according to with or without CS during hospitalization. Stepwise multivariate logistic analysis was conducted to investigate the association of thyroid hormones and CS. Restricted cubic spline method was employed to further explore the relationship between CS and thyroid hormones. RESULTS: Patients who developed CS (n=103) had lower FT3 and higher FT4 upon admission. The stepwise logistic analysis showed both FT3 (P=0.038) and FT4 (P=0.024) were independently related to CS. Restricted cubic splines indicated that lower FT3 (<2.25 pg/ml) or higher FT4 (>1.25 ng/dl) were correlated with higher prevalence of CS. Over 2.5 years' follow-up, patients (n=294) with low FT3 (<2.85 pg/ml) and high FT4 (>=0.88 ng/dl) had the highest all-cause mortality (18.2%), whereas patients (n=293) with high FT3 and low FT4 had the lowest all-cause mortality (3.8%) (P for trend <0.0001). CONCLUSIONS: Both FT3 and FT4 were independently associated with in-hospital CS development in patients with STEMI treated with PCI. Patients with lower range of FT3 and upper range of FT4 had the worst outcomes in long-term follow-up.

The safety of pericardiocentesis in patients under antithrombotic therapy: A single-center experience.

Objective: This study aimed to analyze the characteristics of patients with pericardial effusion requiring pericardiocentesis and to evaluate the safety of pericardiocentesis without discontinuation of anticoagulant or antiplatelet drugs. Methods: We performed a retrospective study of patients undergoing pericardiocentesis in our hospital between 2012 and 2022. Patients were categorized into the Antithrombotic Group if they had used any antiplatelet or anticoagulant drugs on the day of pericardiocentesis; otherwise they were categorized into the Non-antithrombotic Group. All procedures were performed by experienced cardiologists with echocardiographic guidance. Bleeding events were defined using the National Institutes of Health scale of adverse events. Results: A total of 501 consecutive patients were identified and 70 cases were under antithrombotic drugs (Antithrombotic Group). Patients in Antithrombotic Group were older, had more comorbidities, presented with lower platelet counts and prolonged activated partial thromboplastin time (all p < 0.05). Malignancy was the most common etiology for pericardial effusion in both groups (28.6% in Antithrombotic Group and 54.7% in Non-antithrombotic Group) and tuberculosis was the second etiology in the Non-antithrombotic Group (21.9%), while procedure-related effusion (17.1%) accounted for the second cause in the Antithrombotic Group. Two patients in the Antithrombotic Group had mild oozing at the puncture site that resolved without interventions (2.9 vs. 0%, p = 0.019), and no bleeding events higher than Grade 1 occurred in either group. Conclusion: Although antiplatelet or anticoagulant drugs may put patients undergoing pericardiocentesis at theoretically higher risk of bleeding, our study demonstrated that they are not associated with increased major bleeding complications.

Leukocyte and its Subtypes as Predictors of Short-Term Outcome in Cardiogenic Shock Complicating Acute Myocardial Infarction: A Cohort Study.

BACKGROUND: Patients with cardiogenic shock (CS) complicating acute myocardial infarction (AMI) are at high risk of death. Inflammation is involved in both CS and AMI, and our present study aimed to investigate the changes of leukocyte and its subtypes as well as their prognostic value in patients with CS complicating AMI. METHODS: Data of 217 consecutive patients with CS complicating AMI were analyzed. The primary endpoint was 30-day all-cause mortality. The secondary endpoint was the composite events of major adverse cardiovascular events (MACE) including 30-day all-cause mortality, ventricular tachycardia/ventricular fibrillation, atrioventricular block, gastrointestinal hemorrhage and nonfatal stroke. The association of leukocyte and its subtypes with the endpoints was analyzed by Cox regression analysis. RESULTS: Leukocyte and its subtypes including neutrophil, eosinophil, lymphocyte, monocyte and basophil were all statistically significant between survivors and nonsurvivors (all P < 0.05). Among the leukocyte subtypes, eosinophil had the highest predictive value for 30-day all-cause mortality (AUC = 0.799) and the composite of leukocyte and its subtypes improved the predictive power (AUC = 0.834). The 30-day mortality and MACE K-M curves of leukocyte and its subtypes reveal a distinct trend based on the cut-off value determined by Youden Index (all log rank P < 0.001). After multivariable adjustment, high leukocyte (>11.6 × 109/L) (HR 1.815; 95%CI 1.134, 2.903; P = 0.013), low eosinophil (<0.3%) (HR 2.562; 95%CI 1.412, 4.648; P = 0.002) and low basophil (≤0.1%) (HR 1.694; 95%CI 1.106, 2.592; P = 0.015) were independently associated with increased risk of 30-day mortality. Similarly, high leukocyte (>11.6 × 109/L) (HR 1.894; 95%CI 1.285, 2.791; P = 0.001), low eosinophil (<0.3%) (HR 1.729; 95%CI 1.119, 2.670; P = 0.014) and low basophil (≤0.1%) (HR 1.560; 95%CI 1.101, 2.210; P = 0.012) were independently associated with increased risk of 30-day MACE. CONCLUSIONS: Leukocyte and its subtypes changed significantly in patients with CS complicating AMI. In addition to leukocyte, eosinophil and basophil also served as independent prognostic factors for 30-day outcomes. Moreover, as the composite of leukocyte and its subtypes increased the predictive power, thus leukocyte and its subtypes, especially eosinophil and basophil should be taken into consideration for the current risk stratification model.

The prognostic value of admission D-dimer level in patients with cardiogenic shock after acute myocardial infarction.

Background: Shock is associated with the activation of the coagulation and fibrinolytic system, and D-dimer is the degradation product of cross-linked fibrin. However, the prognostic value of D-dimer in patients with cardiogenic shock (CS) after acute myocardial infarction (AMI) remains unclear. Methods: We retrospectively analyzed the data of consecutive patients with CS complicating AMI. The primary endpoint was 30-day mortality and the secondary endpoint was the major adverse cardiovascular events (MACEs) including 30-day all-cause mortality, ventricular tachycardia/ventricular fibrillation, atrioventricular block, gastrointestinal hemorrhage, and non-fatal stroke. Restricted cubic spline (RCS) analyses were performed to assess the association between admission D-dimer and outcomes. A multivariable Cox regression model was performed to identify independent risk factors. The risk predictive potency with D-dimer added to the traditional risk scores was evaluated by C-statistics and the net reclassification index. Results: Among 218 patients with CS complicating AMI, those who died during the 30-day follow-up presented with worse baseline characteristics and laboratory test results, including a higher level of D-dimer. According to the X-tile program result, the continuous plasma D-dimer level was divided into three gradients. The 30-day all-cause mortality in patients with low, medium, and high levels of D-dimer were 22.4, 53.3, and 86.2%, respectively (p < 0.001 for all). The 30-day incidence of MACEs was 46.3, 77.0, and 89.7%, respectively (p < 0.001). In the multivariable Cox regression model, the trilogy of D-dimer level was an independent risk predictor for 30-day mortality (median D-dimer cohort: HR 1.768, 95% CI 0.982-3.183, p = 0.057; high D-dimer cohort: HR 2.602, 95% CI 1.310-5.168, p = 0.006), a similar result was observed in secondary endpoint events (median D-dimer cohort: HR 2.012, 95% CI 1.329-3.044, p = 0.001; high D-dimer cohort: HR 2.543, 95% CI 1.452-4.453, p = 0.001). The RCS analyses suggested non-linear associations of D-dimer with 30-day mortality. The enrollment of D-dimer improved risk discrimination for all-cause death when combined with the traditional CardShock score (C-index: 0.741 vs. 0.756, p difference = 0.004) and the IABP-SHOCK II score (C-index: 0.732 vs. 0.754, p difference = 0.006), and the GRACE score (C-index: 0.679 vs. 0.715, p difference < 0.001). Similar results were acquired after logarithmic transformed D-dimer was included in the risk score. The improvements in reclassification which were calculated as additional net reclassification index were 7.5, 8.6, and 12.8%, respectively. Conclusion: Admission D-dimer level was independently associated with the short-term outcome in patients with CS complicating AMI and addition of D-dimer brought incremental risk prediction value to traditional risk prediction scores.

Incidence, Clinical Characteristics and Short-Term Prognosis in Patients With Cardiogenic Shock and Various Left Ventricular Ejection Fractions After Acute Myocardial Infarction.

The 2016 European Society of Cardiology Guidelines introduced a new term, mid-range left ventricular ejection fraction (mrEF) heart failure, however, the clinical characteristics and short-term outcomes in cardiogenic shock patients with mrEF after acute myocardial infarction remain unclear. This retrospective study analyzed the baseline characteristics, management, and outcomes according to the left ventricular ejection fraction (LVEF), reduced LVEF (rEF) ≤40%, mrEF 41% to 49%, and preserved LVEF (pEF) ≥50% in patients with acute myocardial infarction complicated by cardiogenic shock. The primary end point was 30-day all-cause mortality and the secondary end point was the composite events of major adverse cardiovascular events (MACEs). In 218 patients, 71 (32.6%) were patients with mrEF. Compared with those with pEF, patients with mrEF had some similar clinical characteristics to that of rEF. The 30-day all-cause mortality in patients with rEF, mrEF, and pEF were 72.7%, 56.3%, and 32.0%, respectively (p = 0.001). The 30-day MACE were 90.9%, 69.0%, and 60.2%, respectively (p = 0.001). After multivariable adjustment, patients with mrEF and rEF had comparable 30-day all-cause mortality (hazard ratio [HR] = 0.81, 95% confidence interval [CI] 0.50 to 1.33, p = 0.404), and pEF was associated with decreased risk of 30-day all-cause mortality compared with rEF (HR = 0.41, 95% CI 0.24 to 0.71, p = 0.001). In contrast, the risk of 30-day MACE in mrEF and pEF were lower than that of rEF (HR = 0.62, 95% CI 0.40 to 0.96, p = 0.031 and HR = 0.53, 95% CI 0.34 to 0.80, p = 0.003, respectively). In conclusion, 1/3 of patients with acute myocardial infarction complicated by cardiogenic shock were mrEF. The clinical characteristics and short-term mortality in patients with mrEF were inclined to that of rEF and the occurrence of early left ventricular systolic dysfunction is of prognostic significance.

The Association between Thyroid-Stimulating Hormone and Long-Term Outcomes in Patients with ST Segment Elevation Myocardial Infarction Treated by Primary Percutaneous Coronary Intervention.

OBJECTIVE: Thyroid hormones are closely related to the cardiovascular system. Our study aimed to explore the impact of admission thyroid-stimulating hormone (TSH) levels on long-term outcomes in patients with acute ST segment elevation myocardial infarction (STEMI) by detailed stratifications of TSH. METHODS: Consecutive STEMI patients admitted to our hospital were divided into four groups: Group 1 (TSH <0.35 mIU/L), Group 2 (TSH 0.35-1.0 mIU/L), Group 3 (TSH 1.0-3.5 mIU/L), and Group 4 (TSH >3.5 mIU/L). The primary endpoint was all-cause mortality during follow-up, and the median follow-up was 2.5 years. Cox proportional hazard regression models were performed to identify the prognostic value of TSH. RESULTS: A total of 1186 patients were included. Group 4 was presented with higher systolic and diastolic blood pressure (all P < 0.001), and Group 1 had more patients complicated by heart failure (Killip class >I, P = 0.014). During follow-up, 138 deaths occurred. Patients in Group 4 had the worst long-term outcomes (P < 0.001). The cumulative survival in Group 4 was remarkably lower (Log rank P < 0.001), whereas the other three groups were comparable (Log rank P = 0.365). Through Cox regression analysis, only TSH >3.5 mIU/L was identified as an independent risk factor for long-term mortality after STEMI. CONCLUSION: Only TSH elevation beyond the normal range was associated with worse long-term prognosis in STEMI patients, while high-normal TSH or reduced TSH did not alter long-term prognosis of STEMI patients. TSH >3.5 mIU/L was an independent risk factor for long-term mortality in STEMI.

Associations of Lipoprotein(a) With Coronary Atherosclerotic Burden and All-Cause Mortality in Patients With ST-Segment Elevation Myocardial Infarction Treated With Primary Percutaneous Coronary Intervention.

Background: The coronary atherosclerotic burden in patients with ST-segment elevation myocardial infarction (STEMI) has been identified as the main predictor of prognosis. However, the association of lipoprotein(a) [Lp(a)], a well-established proatherogenic factor, with atherosclerotic burden in patients with STEMI is unclear. Methods: In total, 1,359 patients who underwent percutaneous coronary intervention (PCI) for STEMI were included in analyses. Three prespecified models with adjustment for demographic parameters and risk factors were evaluated. Generalized additive models and restricted cubic spline analyses were used to assess the relationships of Lp(a) with Gensini scores and the no-reflow phenomenon. Kaplan-Meier curves were generated to explore the predictive value of Lp(a) for long-term all-cause mortality. Furthermore, mRNA expression levels of LPA in different groups were compared using the GEO database. Results: Patients in the highest tertile according to Lp(a) levels had an increased incidence of heart failure during hospitalization. Furthermore, patients with high levels of Lp(a) (>19.1 mg/dL) had sharply increased risks for a higher Gensini score (P for trend = 0.03) and no-reflow (P for trend = 0.002) after adjustment for demographic parameters and risk factors. During a median follow-up of 930 days, 132 deaths (9.95%) were registered. Patients with high levels of Lp(a) (>19.1 mg/dL) had the worst long-term prognosis (P for trend < 0.0001). In a subgroup analysis, patients with higher Lp(a) still had the highest all-cause mortality. Additionally, the mRNA expression levels of LPA in patients with STEMI with lower cardiac function were higher than those in other groups (P = 0.003). A higher coronary atherosclerotic burden was correlated with higher LPA expression (P = 0.01). Conclusion: This study provides the first evidence that Lp(a) (at both the protein and mRNA levels) is independently associated with coronary atherosclerotic lesions and prognosis in patients with STEMI treated with PCI. Clinical Trial Registration: http://www.chictr.org.cn/index.aspx, identifier: ChiCTR1900028516.

Prognostic impact of mean heart rate by Holter monitoring on long-term outcome in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

BACKGROUND: Previous studies have shown elevated admission heart rate (HR) was associated with worse outcome in patients with myocardial infarction (MI). However, the prognostic value of mean heart rate (MHR) with Holter monitoring remains unclear. OBJECTIVES: Our present study aims to evaluate the impact of MHR by Holter monitoring on long-term mortality in patients with ST-segment elevation myocardial infarction (STEMI). METHODS: 1013 STEMI patients were divided into four groups according to the quartiles of MHR by Holter monitoring, Q1 (< 66 bpm), Q2 66-72 bpm), Q3 (73-78 bpm), and Q4 (> 78 bpm). The endpoint was long-term all-cause mortality. The predictive value of admission HR, discharge HR, and MHR was compared with receiver operating characteristic (ROC) curves. RESULTS: Patients in Q4 were more likely to present with anterior MI, high Killip class, relatively lower admission blood pressure, significantly increased troponin I, B-type natriuretic peptide, and decreased left ventricular ejection fraction. During a median of 28.3 months follow up period, 91 patients (8.9%) died. The mortality in Q4 was significantly higher than in the other three groups (P < 0.001). After multivariate adjustment, Q4 was associated with a 1.0-fold increased risk of long-term all-cause mortality (HR = 2.096, 95% CI 1.190-3.691, P = 0.010). ROC analysis shows MHR with Holter (AUC = 0.672) was superior to admission HR (AUC = 0.556) or discharge HR (AUC = 0.578). CONCLUSIONS: MHR based on Holter monitoring provided important prognostic value and MHR > 78 bpm was independently associated with increased risk of long-term all-cause mortality in patients with STEMI, and its predictive validity was superior to admission or discharge HR.

Aberrantly Methylated-Differentially Expressed Genes Identify Novel Atherosclerosis Risk Subtypes.

Increasing evidence has indicated that modulation of epigenetic mechanisms, especially methylation and long-non-coding RNA (lncRNA) regulation, plays a pivotal role in the process of atherosclerosis; however, few studies focused on revealing the epigenetic-related subgroups during atherosclerotic progression using unsupervised clustering analysis. Hence, we aimed to identify the epigenetics-related differentially expressed genes associated with atherosclerosis subtypes and characterize their clinical utility in atherosclerosis. Eighty samples with expression data (GSE40231) and 49 samples with methylation data (GSE46394) from a large artery plaque were downloaded from the GEO database, and aberrantly methylated-differentially expressed (AMDE) genes were identified based on the relationship between methylation and expression. Furthermore, we conducted weighted correlation network analysis (WGCNA) and co-expression analysis to identify the core AMDE genes strongly involved in atherosclerosis. K-means clustering was used to characterize two subtypes of atherosclerosis in GSE40231, and then 29 samples were recognized as validation dataset (GSE28829). In a blood sample cohort (GSE90074), chi-square test and logistic analysis were performed to explore the clinical implication of the K-means clusters. Furthermore, significance analysis of microarrays and prediction analysis of microarrays (PAM) were applied to identify the signature AMDE genes. Moreover, the classification performance of signature AMDE gene-based classifier from PAM was validated in another blood sample cohort (GSE34822). A total of 1,569 AMDE mRNAs and eight AMDE long non-coding RNAs (lncRNAs) were identified by differential analysis. Through the WGCNA and co-expression analysis, 32 AMDE mRNAs and seven AMDE lncRNAs were identified as the core genes involved in atherosclerosis development. Functional analysis revealed that AMDE genes were strongly related to inflammation and axon guidance. In the clinical analysis, the atherosclerotic subtypes were associated with the severity of coronary artery disease and risk of adverse events. Eight genes, including PARP15, SERGEF, PDGFD, MRPL45, UBR1, STAU1, WIZ, and LSM4, were selected as the signature AMDE genes that most significantly differentiated between atherosclerotic subtypes. Ultimately, the area under the curve of signature AMDE gene-based classifier for atherosclerotic subtypes was 0.858 and 0.812 in GSE90074 and GSE34822, respectively. This study identified the AMDE genes (lncRNAs and mRNAs) that could be implemented in clinical clustering to recognize high-risk atherosclerotic patients.