Angiology最新文献

Hypertension (HT) is a common chronic disease that often causes target-organ damage and severe complications, contributing to cardiovascular morbidity and mortality worldwide. Accumulating evidence suggests that inflammation plays a prominent role in the initiation and progression of HT. Multiple inflammatory biomarkers have been proposed to predict HT. Several new hematological parameters can reflect the inflammatory response and platelet activation. The major advantage of hematological parameters over conventional inflammatory markers is that they are relatively inexpensive and easily obtained from routine blood tests. Numerous studies have investigated several hematological parameters for their utility as predictive biomarkers for the diagnosis and prognosis of HT. Among them, the neutrophil to lymphocyte ratio (NLR), monocyte to high density lipoprotein cholesterol ratio (MHR), red cell distribution width (RDW), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV), platelet distribution width (PDW), and systemic immune-inflammation index (SII) have recently received attention. We searched PubMed and Embase databases (up to September 18, 2022) to assess the relationships between hematological parameters and HT. This review discusses the diagnostic and prognostic value of these hematological parameters in HT, providing an important basis for early screening, risk stratification, and optimal management of hypertensive patients.

Prognostic information is important for the management of acute coronary syndrome (ACS). Our aim was to evaluate Synergy between PCI with Taxus and Cardiac Surgery (SYNTAX) score-II (SSII) for predicting contrast induced nephropathy (CIN) and one-year major adverse cardiac events (MACE) in ACS patients. Coronary angiographic recordings of 1304 ACS patients were retrospectively examined. Predictive values of SYNTAX score (SS), SSII-percutaneous coronary intervention (SSII-PCI), SSII-coronary artery bypass graft (SSII-CABG) scores for CIN and MACE were assessed. Combination of CIN and MACE ratios constituted primary composite end-point. Patients with SSII-PCI scores >32.55 were compared with patients with lower scores. All of the three scoring systems predicted the composite primary end-point [SS: Area under the curve (AUC): .718, P < .001 (95% CI: .689-.747), SSII-PCI: AUC: .824, P < .001 (95% CI: .800-.849), SSII-CABG: AUC: .778, P < .001 (95% CI: .751-.805)]. Comparison of AUC of receiver operating characteristic curves showed that SSII-PCI score had better predictive value than that of SS and SSII-CABG scores. In multivariate analysis, the only predictor of the primary composite end-point was SSII-PCI score (odds ratio: 1.126, 95% CI: 1.107-1.146, P < .001). SSII-PCI score was a valuable tool for prediction of shock, CABG, myocardial infarction, stent thrombosis, development of CIN and one-year mortality.

The present study evaluated 10-year atherosclerotic cardiovascular disease (ASCVD) risk using ASCVD and Systematic Coronary Risk Evaluation (SCORE2) risk models in combination with aortic arch calcification (AAC) to identify those at high risk for significant coronary artery disease (CAD) in patients undergoing coronary angiography. Of the 402 patients enrolled, 48 had normal coronary angiograms and served as group 1. The 131 patients with CAD with stenosis of <70% as group 2 and 223 patients with CAD with stenosis of ≥70% as group 3. ASCVD and SCORE2 risk scores, and the presence of AAC differed significantly among these groups. For prediction of significant CAD, the area under the curve (AUC) of ASCVD and SCORE2 risk scores in receiver operating characteristic (ROC) curve analysis were statistically similar ([AUC: .647, P < .001] and [AUC: .654, P < .001], respectively). When AAC was added to ASCVD risk and SCORE2, it increased their predictive value for significant CAD in the ROC curve analysis (P = .003, and P = .019, respectively). In addition, significant net reclassification improvement (NRI) values were obtained by adding AAC to ASCVD and SCORE2 risk models ([NRI = .10, P = .04], and [NRI = .19, P = .04], respectively). These results suggest that the predictive value of ASCVD and SCORE2 increases when AAC is combined.

Although transcatheter aortic valve replacement (TAVR) is safe and effective, mortality and bleeding events post procedure are important. The present study investigated the changes in hematologic parameters to evaluate whether they predict mortality or major bleeding. We enrolled 248 consecutive patients (44.8% male; mean age 79.0 ± 6.4 years) undergoing TAVR. In addition to demographic and clinical examination, blood parameters were recorded before TAVR, at discharge, 1 month and 1 year. Hemoglobin levels before TAVR 12.1 ± 1.8 g/dL, 10.8 ± 1.7 g/dL at discharge, 11.7 ± 1.7 g/dL at first month, 11.8 ± 1.4 g/dL at first year (Hemoglobin values compared with pre-TAVR, P < .001, P = .019, P = .047, respectively). Mean platelet volume (MPV) before TAVR 8.72 ± 1.71 fL, 8.16 ± 1.46 fL at discharge, 8.09 ± 1.44 fL at first month, 7.94 ± 1.18 fL at first year (MPV values compared with pre-TAVR, P < .001, P < .001, P < .001, respectively). Other hematologic parameters were also evaluated. Hemoglobin, platelet count, MPV, and red cell distribution width before the procedure, at discharge, and at the first year did not predict mortality and major bleeding in receiver operating characteristic analysis. After multivariate Cox regression analysis, hematologic parameters were not independent predictors of in-hospital mortality, major bleeding, and death at 1 year after TAVR.

The present study aimed to explore the association between the neutrophil-to-lymphocyte ratio (NLR) and prognosis of critically ill chronic heart failure patients. The records of 5298 patients who met the inclusion criteria were extracted from the Medical Information Mart for Intensive Care IV database. The primary outcome was 30-days all-cause mortality and the secondary outcome was 90-days all-cause mortality. Multivariable logistic regression analysis was performed to examine the relationship between NLR and 30-days mortality. Subgroup analysis was carried out to identify whether the association between NLR and 30-days mortality differed across various subgroups. For 30-days mortality, after adjusting for multiple confounders, the odds ratio (OR) (95% confidence interval [CI]) for the second (NLR 4.0-8.4) and the third (NLR ≥8.4) tertiles were 1.52 (1.13-2.03) and 2.53 (1.92-3.34), respectively, compared with the first tertile (NLR <4.0). As for 90-days mortality, the OR for the second (NLR 4.0-8.4) was 1.34 (1.07-1.67) and 2.23 (1.81-2.76) for the third (NLR ≥8.4) tertiles compared with the reference (NLR<4.0). The interactions between the sepsis subgroup and 30-days mortality were significant. Our study concluded that the NLR was an independent predictor of 30- and 90-days mortality for critically ill patients with chronic heart failure.

The Naples score (NS), which is a composite of cardiovascular adverse event predictors including neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, albumin, and total cholesterol, has emerged as a prognostic risk score in cancer patients. We aimed to investigate the predictive value of NS for long-term mortality in ST-segment elevation myocardial infarction patients (STEMI). A total of 1889 STEMI patients were enrolled in this study. The median duration of the study was 43 months (IQR: 32-78). Patients were divided into 2 groups according to NS as group 1 and group 2. We created 3 models as a baseline model, model 1 (baseline + NS in continuous), and model 2 (baseline + NS as categorical). Group 2 patients had higher long-term mortality rates than group 1 patients. The NS was independently associated with long-term mortality and adding NS to a baseline model improved the model performance for prediction and discrimination of long-term mortality. Decision curve analysis demonstrated that model 1 had a better net benefit probability for detecting mortality compared with the baseline model. NS had the highest contributive significant effect in the prediction model. An easily accessible and calculable NS might be used for risk stratification of long-term mortality in STEMI patients undergoing primary percutaneous coronary intervention.

We assessed the association between troponin levels and all-cause mortality in individuals with chest pain who presented to the Charleston Area Medical Center Emergency Department (CAMC). We identified adult patients with chest pain as defined in the International Classification of Diseases 10 (R07) family group from the CAMC data warehouse between June 6, 2020, and June 6, 2021. These cases required a visit to the emergency room. We created 3 different cohorts to assess the endpoints of all-cause mortality at 30 days and 6 months. Patients were divided into the following 3 categories: negative troponin level, defined as high sensitivity troponin I (HSTNI) assay ≤15 pg/mL for women and ≤20 pg/mL for men; weakly positive, 21-88 pg/mL for men and 16-88 pg/mL for women; and strongly positive, >88 pg/mL for men and women. A propensity score matching analysis was also conducted using the negative group as a control; the weakly and strongly positive groups were compared to the control across differing cardiology covariates. This study introduces novel cutoffs for high-sensitivity troponin I (Beckman Coulter assay, Beckman Coulter, Inc., Chaska Campus, 1000 Lake Hazeltine Drive, Chaska, Minnesota 55318).