Reviews in cardiovascular medicine最新文献

Background: Heart failure (HF) is a primary public health issue associated with a high mortality rate. However, effective treatments still need to be developed. The optimal level of glycemic control in non-diabetic critically ill patients suffering from HF is uncertain. Therefore, this study examined the relationship between initial glucose levels and in-hospital mortality in critically ill non-diabetic patients with HF.

Methods: A total of 1159 critically ill patients with HF were selected from the Medical Information Mart for Intensive Care-III (MIMIC-III) data resource and included in this study. The association between initial glucose levels and hospital mortality in seriously ill non-diabetic patients with HF was analyzed using smooth curve fittings and multivariable Cox regression. Stratified analyses were performed for age, gender, hypertension, atrial fibrillation, CHD with no MI (coronary heart disease with no myocardial infarction), renal failure, chronic obstructive pulmonary disease (COPD), estimated glomerular filtration rate (eGFR), and blood glucose concentrations.

Results: The hospital mortality was identified as 14.9%. A multivariate Cox regression model, along with smooth curve fitting data, showed that the initial blood glucose demonstrated a U-shape relationship with hospitalized deaths in non-diabetic critically ill patients with HF. The turning point on the left side of the inflection point was HR 0.69, 95% CI 0.47-1.02, p = 0.068, and on the right side, HR 1.24, 95% CI 1.07-1.43, p = 0.003. Significant interactions existed for blood glucose concentrations (7-11 mmol/L) (p-value for interaction: 0.009). No other significant interactions were detected.

Conclusions: This study demonstrated a U-shape correlation between initial blood glucose and hospital mortality in critically ill non-diabetic patients with HF. The optimal level of initial blood glucose for non-diabetic critically ill patients with HF was around 7 mmol/L.

Ventricular pump function, which is determined by myocyte contractility, preload and afterload, and, additionally, also significantly influenced by heart rhythm, synchrony of intraventricular contraction and ventricular interdependence, explains the difficulties in establishing the contribution of myocardial contractile dysfunction to the development and progression of heart failure. Estimating myocardial contractility is one of the most difficult challenges because the most commonly used clinical measurements of cardiac performance cannot differentiate contractility changes from alterations in ventricular loading conditions. Under both physiological and pathological conditions, there is also a permanent complex interaction between myocardial contractility, ventricular anatomy and hemodynamic loading conditions. All this explains why no single parameter can alone reveal the real picture of ventricular dysfunction. Over time there has been increasing recognition that a load-independent contractility parameter cannot truly exist, because loading itself changes the myofilament force-generating capacity. Because the use of a single parameter is inadequate, it is necessary to perform multiparametric evaluations and also apply integrative approaches using parameter combinations which include details about ventricular loading conditions. This is particularly important for evaluating the highly afterload-sensitive right ventricular function. In this regard, the existence of certain reluctance particularly to the implementation of non-invasively obtainable parameter combinations in the routine clinical praxis should be reconsidered in the future. Among the non-invasive approaches used to evaluate ventricular function in connection with its current loading conditions, assessment of the relationship between ventricular contraction (e.g., myocardial displacement or deformation) and pressure overload, or the relationship between ejection volume (or ejection velocity) and pressure overload, as well as the relationship between ventricular dilation and pressure overload, were found useful for therapeutic decision-making. In the future, it will be unavoidable to take the load dependency of ventricular function much more into consideration. A solid basis for achieving this goal will be obtainable by intensifying the clinical research necessary to provide more evidence for the practical importance of this largely unsolved problem.

Background: The impact of cardiac arrest (CA) at admission on the prognosis of patients with acute myocardial infarction (AMI) complicated by cardiogenic shock (CS) remains a subject of debate.

Methods: We conducted a retrospective study at West China Hospital from 2018 to 2021, enrolling 247 patients with AMI complicated by CS (AMI-CS). Patients were categorized into CA and non-CA groups based on their admission status. Univariate and multivariate Cox regression analyses were performed, with 30-day and 1-year mortality as the primary endpoints. Kaplan-Meier plots were constructed, and concordance (C)-indices of the Global Registry of Acute Coronary Event (GRACE) score, Intra-aortic Balloon Pump in Cardiogenic Shock (IABP-SHOCK) II score, and IABP-SHOCK II score with CA were calculated.

Results: Among the enrolled patients, 39 experienced CA and received cardiopulmonary resuscitation at admission. The 30-day and 1-year mortality rates were 40.9% and 47.0%, respectively. Neither univariate nor multivariate Cox regression analyses identified CA as a significant risk factor for 30-day and 1-year mortality. In C-statistics, the GRACE score exhibited a moderate effect (C-indices were 0.69 and 0.67, respectively), while the IABP-SHOCK II score had a better predictive performance (C-indices were 0.79 and 0.76, respectively) for the 30-day and 1-year mortality. Furthermore, CA did not enhance the predictive value of the IABP-SHOCK II score for 30-day (p = 0.864) and 1-year mortality (p = 0.888).

Conclusions: Cardiac arrest at admission did not influence the survival of patients with AMI-CS. Active resuscitation should be prioritized for patients with AMI-CS, regardless of the presence of cardiac arrest.

Background: Mini-mental State Examination (MMSE) is widely accepted clinically for postoperative cognitive dysfunction (POCD) assessment. This study aims to investigate the post-operative cognitive changes among high-risk cardiothoracic patients and establish a standardised approach to post-surgery cognitive assessment.

Methods: This is a prospective cohort study, where cognitive assessments were done 1-day before surgery, at discharge, and during 6 weeks of follow-up. Sample size calculation, accounting for an estimated 20% dropout rate, determined a minimum of 170 subjects were required for the study. Reduction of MMSE score of more than 2.5 was considered as having POCD. Score differences between groups were analysed using T-test and analysis of variance (ANOVA), while consistency between tools was analysed using correlation and regression.

Results: A total of 188 patients completed the study, with a POCD prevalence of 20.2% and 6.9% at discharge and at the 6 week follow up, respectively. All cognitive tools show a significant difference between preoperative and postoperative scores. All tests show a significant moderate correlation with MMSE.

Conclusions: In conclusion, it is imperative to employ a battery of cognitive assessments to evaluate cognitive changes comprehensively.