Iron deficiency and all-cause mortality after myocardial infarction.

BACKGROUND: Data on the clinical significance of iron deficiency (ID) in patients with myocardial infarction (MI) are conflicting. This may be related to the use of various ID criteria. We aimed to compare the association of different ID criteria with all-cause mortality after MI. METHODS: Consecutive patients hospitalized for their first MI at a large tertiary heart center were included. We evaluated the association of different iron metabolism parameters measured on the first day after hospital admission with all-cause mortality. RESULTS: From the 1,156 patients included (aged 64±12 years, 25 % women), 194 (16.8 %) patients died during the median follow-up of 3.4 years. After multivariate adjustment, iron level ≤13 µmol/L (HR 1.67, 95 % CI 1.19-2.34) and the combination of iron level ≤12.8 µmol/L and soluble transferrin receptor (sTfR) ≥3 mg/L (HR 2.56, 95 % CI 1.64-3.99) termed as PragueID criteria were associated with increased mortality risk and had additional predictive value to the GRACE score. Compared to the model including iron level, the addition of sTfR improved risk stratification (net reclassification improvement 0.61, 95 % CI 0.52-0.69) by reclassifying patients into a higher-risk group. No association between ferritin level and mortality was found. 51 % of patients had low iron levels, and 58 % fulfilled the PragueID criteria. CONCLUSION: Iron deficiency is common among patients with the first MI. The PragueID criteria based on iron and soluble transferrin receptor levels provide the best prediction of mortality and should be evaluated in future interventional studies for the identification of patients potentially benefiting from intravenous iron therapy.

Development and validation of a prognostic score integrating remote heart failure symptoms and clinical variables in mortality risk prediction after myocardial infarction. The PragueMi score.

AIMS: While heart failure (HF) symptoms are associated with adverse prognosis after myocardial infarction (MI), they are not routinely used for patients' stratification. The primary objective of this study was to develop and validate a score to predict mortality risk after MI, combining remotely recorded HF symptoms and clinical risk factors, and to compare it against the guideline-recommended GRACE score. METHODS: A cohort study design using prospectively collected data from consecutive patients hospitalized for MI at a large tertiary heart centre between June 2017 and September 2022 was used. RESULTS: Data from 1,135 patients (aged 64±12 years, 26.7% women), were split into derivation (70%) and validation cohort (30%). Components of the 23-item Kansas City Cardiomyopathy Questionnaire (KCCQ) questionnaire and clinical variables were used as possible predictors. The best model included the following variables - age, heart failure history, admission creatinine and heart rate, ejection fraction at hospital discharge, and HF symptoms 1 month after discharge including walking impairment, leg swelling, and change in HF symptoms. Based on these variables, the PragueMi score was developed. In the validation cohort, the PragueMi score showed superior discrimination to the GRACE score for 6 months (AUC 90.1, 95% CI 81.8-98.4 vs. 77.4, 95% CI 62.2-92.5, p=0.04) and 1-year risk prediction (AUC 89.7, 95% CI 83.5-96.0 vs. 76.2, 95% CI 64.7-87.7, p=0.004). CONCLUSION: The PragueMi score combining heart failure symptoms and clinical variables performs better than the currently recommended GRACE score.

The prognosis of patients after myocardial infarction is heterogeneous. Thus, risk stratification is needed to identify and intervene patients at increased risk. While heart failure (HF) symptoms are associated with adverse prognosis, they are not used for patients' stratification. We have developed and internally validated the PragueMi score, which integrates clinical risk factors at the time of hospitalization and HF symptoms determined remotely by a questionnaire 1 month after hospital discharge. PragueMi score was able to better stratify patients' risk as compared to the currently recommended GRACE score.

Cholesterol associated genetic risk score and acute coronary syndrome in Czech males.

BACKGROUND: Despite a general decline in mean levels across populations, LDL-cholesterol levels remain a major risk factor for acute coronary syndrome (ACS). The APOB, LDL-R, CILP, and SORT-1 genes have been shown to contain variants that have significant effects on plasma cholesterol levels. METHODS AND RESULTS: We examined polymorphisms within these genes in 1191 controls and 929 patients with ACS. Only rs646776 within SORT-1 was significantly associated with a risk of ACS (P < 0.05, AA vs. + G comparison; OR 1.21; 95% CI 1.01-1.45). With regard to genetic risk score (GRS), the presence of at least 7 alleles associated with elevated cholesterol levels was connected with increased risk (P < 0.01) of ACS (OR 1.26; 95% CI 1.06-1.52). Neither total mortality nor CVD mortality in ACS subjects (follow up-9.84 ± 3.82 years) was associated with the SNPs analysed or cholesterol-associated GRS. CONCLUSIONS: We conclude that, based on only a few potent SNPs known to affect plasma cholesterol, GRS has the potential to predict ACS risk, but not ACS associated mortality.

Remote Heart Failure Symptoms Assessment After Myocardial Infarction Identifies Patients at Risk for Death.

BACKGROUND: Heart failure is a common complication after myocardial infarction (MI) and is associated with increased mortality. Whether remote heart failure symptoms assessment after MI can improve risk stratification is unknown. The authors evaluated the association of the 23-item Kansas City Cardiomyopathy Questionnaire (KCCQ) with all-cause mortality after MI. METHODS AND RESULTS: Prospectively collected data from consecutive patients hospitalized for MI at a large tertiary heart center between June 2017 and September 2022 were used. Patients remotely completed the KCCQ 1 month after discharge. A total of 1135 (aged 64±12 years, 26.7% women) of 1721 eligible patients completed the KCCQ. Ranges of KCCQ scores revealed that 30 (2.6%), 114 (10.0%), 274 (24.1%), and 717 (63.2%) had scores <25, 25 to 49, 50 to 74, and ≥75, respectively. During a mean follow-up of 46 months (interquartile range, 29-61), 146 (12.9%) died. In a fully adjusted analysis, KCCQ scores <50 were independently associated with mortality (hazard ratio [HR], 6.05 for KCCQ <25, HR, 2.66 for KCCQ 25-49 versus KCCQ ≥50; both P<0.001). Adding the 30-day KCCQ to clinical risk factors improved risk stratification: change in area under the curve of 2.6 (95% CI, 0.3-5.0), Brier score of -0.6 (95% CI, -1.0 to -0.2), and net reclassification improvement of 0.71 (95% CI, 0.45-1.04). KCCQ items most strongly associated with mortality were walking impairment, leg swelling, and change in symptoms. CONCLUSIONS: Remote evaluation of heart failure symptoms using the KCCQ among patients recently discharged for MI identifies patients at risk for mortality. Whether closer follow-up and targeted therapy can reduce mortality in high-risk patients warrants further study.

Attenuation of Hypocretin/Orexin Signaling Is Associated With Increased Mortality After Myocardial Infarction.

Background The hypocretin/orexin system has been shown to play a role in heart failure. Whether it also influences myocardial infarction (MI) outcomes is unknown. We evaluated the effect of the rs7767652 minor allele T associated with decreased transcription of the hypocretin/orexin receptor-2 and circulating orexin A concentrations on mortality risk after MI. Methods and Results Data from a single-center, prospectively designed registry of consecutive patients hospitalized for MI at a large tertiary cardiology center were analyzed. Patients without previous history of MI or heart failure were included. A random population sample was used to compare allele frequencies in the general population. Out of 1009 patients (aged 64±12 years, 74.6% men) after MI, 6.1% were homozygotes (TT) and 39.4% heterozygotes (CT) for minor allele. Allele frequencies in the MI group did not differ from 1953 subjects from general population (χ2 P=0.62). At index hospitalization, MI size was the same, but ventricular fibrillation and the need for cardiopulmonary resuscitation were more prevalent in the TT allele variant. Among patients with ejection fraction ≤40% at discharge, the TT variant was associated with a lower increase in left ventricular ejection fraction during follow-up (P=0.03). During the 27-month follow-up, there was a statistically significant association of the TT variant with increased mortality risk (hazard ratio [HR], 2.83; P=0.001). Higher circulating orexin A was associated with a lower mortality risk (HR, 0.41; P<0.05). Conclusions Attenuation of hypocretin/orexin signaling is associated with increased mortality risk after MI. This effect may be partially explained by the increased arrhythmic risk and the effect on the left ventricular systolic function recovery.

Heart failure-related quality-of-life impairment after myocardial infarction.

AIMS: Recent advances in therapy led to a significant decrease in mortality and morbidity after myocardial infarction (MI). However, little is known about quality of life (QoL) after MI. We examined heart failure (HF)-related quality-of-life (QoL) impairment, its trajectories, and determinants after MI. METHODS: Data from a single-center prospectively designed registry of consecutive patients hospitalized for MI at a large tertiary cardiology center were utilized. At 1 month and 1 year after hospital discharge, patients completed the Kansas City Cardiomyopathy Questionnaire (KCCQ). RESULTS: In total, 850 patients (aged 65 ± 12 years, 27% female) hospitalized between June 2017 and October 2020 completed KCCQ at 1 month after discharge. Of these, 38.7% showed HF-related QoL impairment (KCCQ ≤ 75). In addition to characteristics of MI (MI size, diuretics need, heart rate), comorbidities as renal dysfunction and anemia were associated with QoL impairment. Of the 673 eligible, 500 patients (74.3%) completed KCCQ at 1 year after MI. On average, QoL improved by 5.9 ± 16.8 points during the first year after MI (p < 0.001); but, in 18% of patients QoL worsened. Diabetes control and hemoglobin level at the time of hospitalization were associated with QoL worsening. CONCLUSION: Two out of 5 patients after MI present with HF-related QoL impairment. In addition to guideline-directed MI management, careful attention to key non-cardiac comorbidities as chronic kidney disease, anemia and diabetes may lead to further augmentation of the benefit of modern therapies in terms of QoL.

Trajectories and determinants of left ventricular ejection fraction after the first myocardial infarction in the current era of primary coronary interventions.

Background: Left ventricular ejection fraction (EF) is an independent predictor of adverse outcomes after myocardial infarction (MI). However, current data on trajectories and determinants of EF are scarce. The present study aimed to describe the epidemiology of EF after MI. Methods: Data from a single-center prospectively-designed registry of consecutive patients hospitalized at a large tertiary cardiology center were utilized. Results: Out of 1,593 patients in the registry, 1,065 were hospitalized for MI type I (65.4% STEMI) and had no previous history of heart failure or MI. At discharge, EF < 40% was present in 238 (22.3%), EF 40-50% in 326 (30.6%) and EF > 50% in 501 (47.0%). Patients with EF < 40% were often those who suffered subacute and anterior STEMI, had higher heart rate at admission and higher maximal troponin level, and had more often HF signs requiring intravenous diuretics. Among subjects with EF < 40%, the follow-up EF was available in 166 (80% of eligible). Systolic function recovered to EF > 50% in 39 (23.1%), slightly improved to EF 40-50% in 44 (26.0%) and remained below 40% in 86 (50.9%). Systolic function improvement to EF > 40% was predicted by lower severity of coronary atherosclerosis, lower leukocyte count, and the absence of atrial fibrillation. Conclusions: Despite recent improvements in in-hospital MI care, one in five patients has systolic dysfunction at hospital discharge. Out of these, EF improves in 51%, and full recovery is observed in 23%. The severity of coronary atherosclerosis, inflammatory response to MI, and atrial fibrillation may affect EF recovery.

Genetic variants within telomere-associated genes, leukocyte telomere length and the risk of acute coronary syndrome in Czech women.

The association between leukocyte telomere length (LTL) and cardiovascular disease (CVD) has been published in many reports, although almost exclusively in men. In our study we analysed the association between LTL and five selected variants within three candidate genes (TERC rs12696304; TERF2IP rs3784929 and rs8053257; UCP2 rs659366 and rs622064), which are not only involved in telomere-length maintenance but also potentially associated with higher risk of acute coronary syndrome (ACS) in Czech women (505 cases and 642 controls). We detected significantly shorter LTL in women with ACS (P<0.001), but the difference disappeared after multiple adjustments. We did not find any significant associations between analysed variants and LTL, except for rs622064 within the UCP2 gene, in which case AA homozygotes had a higher LTL (P<0.04). Genotype frequencies of the analysed SNPs did not differ between controls and women with ACS. Variants within UCP2 (rs622064; CC vs. A allele carriers OR=1.61; 95% CI: 1.21-2.15, P<0.002) and within TERF2IP (rs8053257; A allele carriers vs. GG, OR=1.78; 95% CI: 1.07-3.18, P<0.03) were associated with increased risk of type 2 diabetes mellitus (T2DM). Analysed polymorphisms were not major determinants of telomere length or ACS risk in Czech females.

Which index best correlates with body fat mass: BAI, BMI, waist or WHR?

OBJECTIVES: The body mass index (BMI) has been the most commonly applied clinical measure to characterise body composition in individuals. However, the BMI has been criticised as being an inaccurate measure of body fatness. Recently, a new index reflecting body composition, the Body Adiposity Index (BAI) was proposed. The BAI was calculated using the equation BAI=((hip circumference)/ ((height)1.5) - 18). AIM: The aim of this study was to compare estimates of body fat content, i.e., body adiposity index (BAI), BMI, waist-hip ratio (WHR) and waist and hip circumferences, with respect to their ability to predict the percentage of body fat (PBF). RESULTS: To select an optimal surrogate for adiposity, we examined the correlation between body adiposity percentage as measured by BIA and several variables, including BAI, BMI and WHR. Correlations ranged from a high of 0.78 for BMI, 0.67 for BAI and 0.66 for waist circumference to a low value of 0.39 for the WHR index. The correlation between PBF and BAI (R=0.67, R2=0.45, p<0.001) and the correlation between PBF and BMI (R=0.78, R2=0.60, p<0.001) were of similar magnitude. CONCLUSION: Based on our results and those of other studies, we can say that the BAI index is not a universally valid index that could be used in the place of the BMI index in a Caucasian population; indeed, it would not accurately reflect body fat mass and thus could lead to an increased risk of obesity. Further, WHR index is not a suitable for an estimation of body fat.