Seasonal Pattern of Acute Myocardial Infarction in the National Registry of Myocardial Infarction

ObjectivesThe purpose of this study was to determine whether the rate of hospital admission for acute myocardial infarction (AMI) varies seasonally in a large, prospective U.S. registry.BackgroundIdentification of specific patterns in the timing of the onset of AMI is of importance because it implies that there are triggers external to the atherosclerotic plaque. Using death certificate data, most investigators have noted a seasonal pattern to the death rate from AMI. However, it is unclear whether this observation is due to variation in the prevalence of AMI or to other factors that may alter the likelihood of a fatal outcome.MethodsWe examined the seasonal mean number of cases of AMI (adjusted for the length of days in each season) that were submitted to the National Registry of Myocardial Infarction (NRMI) by 138 high volume core hospitals over a 3-year period (December 21,1990 through December 20,1993) during which the number of hospitals participating in the Registry was stable. Data were analyzed using general linear modeling and analysis of variance.ResultsHigh volume core hospitals reported 83,541 cases of AMI to the Registry during the study period. Approximately 10% more such cases were entered into the Registry in winter or spring than in summer (p < 0.05). The same trends were seen in both northern and southern states, men and women, patients <70 versus ≥70 years of age and those with Q wave versus non-Q wave AMI.ConclusionsWe conclude that there is a seasonal pattern to the reporting rate of cases of AMI in the NRMI. This observation further supports the hypothesis that acute cardiovascular events may be triggered by events that are external to the atherosclerotic plaque

Gender differences in advanced heart failure: insights from the BEST study

OBJECTIVES: The goal of this study was to determine the influence of gender on baseline characteristics, response to treatment, and prognosis in patients with heart failure (HF) and impaired left ventricular ejection fraction (LVEF). BACKGROUND: Under-representation of women in HF clinical trials has limited our understanding of gender-related differences in patients with HF. METHODS: The impact of gender was assessed in the Beta-Blocker Evaluation of Survival Trial (BEST) which randomized 2,708 patients with New York Heart Association class III/IV and LVEF < or =0.35 to bucindolol versus placebo. Women (n = 593) were compared with men (n = 2,115). Mean follow-up period was two years. RESULTS: Significant differences in baseline clinical and laboratory characteristics were found. Women were younger, more likely to be black, had a higher prevalence of nonischemic etiology, higher right and left ventricular ejection fraction, higher heart rate, greater cardiothoracic ratio, higher prevalence of left bundle branch block, lower prevalence of atrial fibrillation, and lower plasma norepinephrine level. Ischemic etiology and measures of severity of HF were found to be predictors of prognosis in women and men. However, differences in the predictive values of various variables were noted; most notably, coronary artery disease and LVEF appear to be stronger predictors of prognosis in women. In the nonischemic patients, women had a significantly better survival rate compared with men. CONCLUSIONS: In HF patients with impaired LVEF, significant gender differences are present, and the prognostic predictive values of some variables vary in magnitude between women and men. The survival advantage of women is confined to patients with nonischemic etiology

Hormone replacement therapy is associated with improved survival in women with advanced heart failure

OBJECTIVES: We sought to determine whether hormone replacement therapy (HRT) is associated with an improved prognosis in women with advanced heart failure (HF) and systolic dysfunction. BACKGROUND: There are about two million postmenopausal women in the U.S. with HF. However, limited data are available to assess the effects of HRT on survival in this large group of patients. METHODS: A retrospective analysis of women age 50 years and over entered into the Beta-Blocker Evaluation of Survival Trial (BEST) was conducted using Cox regression analysis comparing survival in HRT users and non-users after correcting for baseline variables known to predict survival in women with HF and systolic dysfunction. RESULTS: In 493 women age 50 years and older, HRT was associated with a significant reduction in mortality-21% mortality in HRT users and 34% in non-users (p = 0.025). Multivariate analysis demonstrated a hazard ratio for mortality of 0.6 (95% confidence interval = 0.36 to 0.97) (p = 0.039) for HRT users. The benefits of HRT were noted only in women with a nonischemic etiology of HF (n = 237). CONCLUSIONS: Hormone replacement therapy is associated with a marked improvement in survival in postmenopausal women with advanced HF. A prospective, randomized trial of HRT should be performed in this large group of patients

A NEURAL NETWORK APPROACH TO PREDICTING OUTCOMES IN HEART FAILURE USING CARDIOPULMONARY EXERCISE TESTING

To determine the utility of an artificial neural network (ANN) in predicting cardiovascular (CV) death in patients with heart failure (HF). ANNs use weighted inputs in multiple layers of mathematical connections in order to predict outcomes from multiple risk markers. This approach has not been applied in the context of cardiopulmonary exercise testing (CPX) to predict risk in patients with HF. 2635 patients with HF underwent CPX and were followed for a mean of 29 ± 30 months. The sample was divided randomly into ANN training and testing sets to predict CV mortality. Peak VO2, VE/VCO2 slope, heart rate recovery, oxygen uptake efficiency slope, and end-tidal CO2 pressure were included in the model. The predictive accuracy of the ANN was compared to logistic regression (LR) and a Cox proportional hazards (PH) score. A multi-layer feed-forward ANN was used and was tested with a single hidden layer containing a varying number of hidden neurons. There were 291 CV deaths during the follow-up. An abnormal VE/VCO2 slope was the strongest predictor of CV mortality using conventional PH analysis (hazard ratio 3.04; 95% CI 2.2-4.2, p<0.001). After training, the ANN was more accurate in predicting CV mortality compared to LR and PH; ROC areas for the ANN, LR, and PH models were 0.72, 0.70, and 0.69, respectively. Age and BMI-adjusted odds ratios were 4.2, 2.6, and 2.9, for ANN, LR, and PH, respectively. An ANN model slightly improves upon conventional methods for estimating CV mortality risk using established CPX responses

Effect of aliskiren on post-discharge outcomes among diabetic and non-diabetic patients hospitalized for heart failure: insights from the ASTRONAUT trial

Aims The objective of the Aliskiren Trial on Acute Heart Failure Outcomes (ASTRONAUT) was to determine whether aliskiren, a direct renin inhibitor, would improve post-discharge outcomes in patients with hospitalization for heart failure (HHF) with reduced ejection fraction. Pre-specified subgroup analyses suggested potential heterogeneity in post-discharge outcomes with aliskiren in patients with and without baseline diabetes mellitus (DM). Methods and results ASTRONAUT included 953 patients without DM (aliskiren 489; placebo 464) and 662 patients with DM (aliskiren 319; placebo 343) (as reported by study investigators). Study endpoints included the first occurrence of cardiovascular death or HHF within 6 and 12 months, all-cause death within 6 and 12 months, and change from baseline in N-terminal pro-B-type natriuretic peptide (NT-proBNP) at 1, 6, and 12 months. Data regarding risk of hyperkalaemia, renal impairment, and hypotension, and changes in additional serum biomarkers were collected. The effect of aliskiren on cardiovascular death or HHF within 6 months (primary endpoint) did not significantly differ by baseline DM status (P = 0.08 for interaction), but reached statistical significance at 12 months (non-DM: HR: 0.80, 95% CI: 0.64-0.99; DM: HR: 1.16, 95% CI: 0.91-1.47; P = 0.03 for interaction). Risk of 12-month all-cause death with aliskiren significantly differed by the presence of baseline DM (non-DM: HR: 0.69, 95% CI: 0.50-0.94; DM: HR: 1.64, 95% CI: 1.15-2.33; P < 0.01 for interaction). Among non-diabetics, aliskiren significantly reduced NT-proBNP through 6 months and plasma troponin I and aldosterone through 12 months, as compared to placebo. Among diabetic patients, aliskiren reduced plasma troponin I and aldosterone relative to placebo through 1 month only. There was a trend towards differing risk of post-baseline potassium ≥6 mmol/L with aliskiren by underlying DM status (non-DM: HR: 1.17, 95% CI: 0.71-1.93; DM: HR: 2.39, 95% CI: 1.30-4.42; P = 0.07 for interaction). Conclusion This pre-specified subgroup analysis from the ASTRONAUT trial generates the hypothesis that the addition of aliskiren to standard HHF therapy in non-diabetic patients is generally well-tolerated and improves post-discharge outcomes and biomarker profiles. In contrast, diabetic patients receiving aliskiren appear to have worse post-discharge outcomes. Future prospective investigations are needed to confirm potential benefits of renin inhibition in a large cohort of HHF patients without D

Unintended pregnancy prevention and care education: are we adequately preparing entry-to-practice nursing and midwifery students?

Achieving universal health coverage (UHC) demands an optimised workforce where nurses and midwives are able to provide the best quality care in accordance with their full scope of practice (World Health Organization 2020; Bender et al. 2016). However, political, legislative, and educational barriers prevent nurses and midwives from working to their full scope in the area of unintended pregnancy prevention and care (UPPC) (Mainey et al. 2020). One important contributing factor is the inadequate coverage of the subject in nursing and midwifery curricula (Mainey et al. 2020). With unintended pregnancy and abortion affecting one-quarter of Australian women(Taft et al. 2018; Scheil et al. 2017), nursing and midwifery educators must seriously consider matching the scope of practice of graduating students to health needs of this population

Unintended pregnancy prevention and care education: Are we adequately preparing entry-to-practice nursing and midwifery students?

Mainey, LJ ORCiD: 0000-0003-1438-8061Achieving universal health coverage (UHC) demands an optimised workforce where nurses and midwives are able to provide the best quality care in accordance with their full scope of practice (World Health Organization 2020; Bender et al. 2016). However, political, legi slat ive , and educational barriers prevent nurses and m id wiv es from working to their full scope in the area of unintended pregnancy prevention and care (UPPC) ( Mainey et al. 2020). One important contributing factor is the inadequate coverage of the subject in nursing and midwifery curricula (Mainey et al. 2020). With un i ntend ed pregnancy and abortion affecting one-quarter of Australian wom en (Taft et al. 2018; Sch ei! et al. 2017), nursing and midwifery educators must seriously consider matching the scope of practice of graduating students to health needs of this population