Low serum total cholesterol is associated with marked increase in mortality in advanced heart failure

Evaluation of Naples Score for Long-Term Mortality in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

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.

Kidney Dysfunction, Hepatic Impairment, and Lipid Metabolism Abnormalities in Patients with Precapillary Pulmonary Hypertension

BACKGROUND

Pulmonary hypertension (PH) is a global health issue that has profound medical and research implications.

METHODS

This retrospective study examined changes in renal and liver function, as well as lipid metabolism, over a 12-month period in 49 adult patients with pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH). All cases were admitted, managed, and followed up with in the PH Center, County Emergency Clinical Hospital of Targu Mures, Romania.

RESULTS

Kidney dysfunction was observed in 12.24% of cases at baseline, decreasing to 8.16% at 12 months, and CTEPH patients were more affected. In particular, CTEPH patients exhibited an improvement in renal function, confirmed by an increase in their glomerular filtration rates. Hepatic impairment was present in 57.14% of subjects at baseline, declining to 42.86% at 12 months, with significant improvements noted in the PAH group. Lipid metabolic dysregulations were experienced by 22.45% of all patients at baseline, decreasing to 16.33% at 6 months, with a slow elevation to 24.49% at 12 months, but with no statistically significant differences. Pharmacological regimens were adjusted in accordance with the PH groups, a patient's functional and clinical response, and laboratory tests.

CONCLUSIONS

Our results demonstrate the multi-organ damage in PH and the importance of individualized treatment approaches.

The impact of synbiotic on serum sCD163/sTWEAK, paraoxonase 1, and lipoproteins in patients with chronic heart failure: a randomized, triple-blind, controlled trial

Cardiovascular disease is one of the leading causes of death worldwide. Evidence suggests that alterations in the gut microbiome could play a role in cardiovascular diseases, including heart failure. The purpose of this study was to evaluate the effect of synbiotics on serum paraoxonase 1(PON1), soluble CD163/soluble TNF-like weak inducer of apoptosis (sCD163/sTWEAK), and lipid profile, which are involved in heart failure in patients with chronic heart failure. In this triple-blind randomized clinical trial, 90 eligible patients were included in the study. They were randomly assigned to receive one capsule (500 mg) of synbiotics or a placebo daily for ten weeks. Serum PON1, sCD163/sTWEAK, and lipid profiles were measured at the beginning and end of the study. The data were analyzed by SPSS 24, and the p-value < 0.05 was considered statistically significant. Among 90 patients who met the inclusion criteria, 80 completed the study. The primary outcomes showed a small effect on sTWEAK, with an adjusted standard mean difference (SMD) of 0.2. However, no significant changes were observed in sCD163/sTWEAK (SMD: 0.16). Secondary outcomes indicated no changes in PON1, total cholesterol (TC), or LDL-C levels. However, there was an increase in HDL-C levels (adjusted SMD: 0.46, 95% CI: 0.02-0.91) and a decrease in TG and TC/HDL levels (adjusted SMD: - 0.5 and - 0.3, respectively) in the synbiotic group. A favorable effect of synbiotics on sTWEAK, HDL, TG, and TC/HDL of patients with heart failure was observed, but no statistically significant effect was found on sCD163/sTWEAK, PON1, LDL, and TC factors.

Lipoprotein Insulin Resistance Score and Mortality Risk Stratification in Heart Failure

BACKGROUND

Higher total serum cholesterol is associated with lower mortality in heart failure. Evaluating associations between lipoprotein subfractions and mortality among people with heart failure may provide insights into this observation.

METHODS

We prospectively enrolled a community cohort of people with heart failure from 2003 to 2012 and assessed vital status through 2021. Plasma collected at enrollment was used to measure lipoprotein subfractions via nuclear magnetic resonance spectroscopy. A composite score of 6 lipoprotein subfractions was generated using the lipoprotein insulin resistance index (LP-IR) algorithm. Using covariate-adjusted proportional hazards regression models, we evaluated associations between LP-IR score and all-cause mortality.

RESULTS

Among 1382 patients with heart failure (median follow-up 13.9 years), a one-standard-deviation (SD) increment in LP-IR score was associated with lower mortality (hazard ratio [HR] 0.93; 95% confidence interval [CI], 0.97-0.99). Among LP-IR parameters, mean high-density lipoprotein (HDL) particle size was significantly associated with lower mortality (HR per 1-SD decrement in mean HDL particle size = 0.83; 95% CI, 0.78-0.89), suggesting that the inverse association between LP-IR score and mortality may be driven by smaller mean HDL particle size.

CONCLUSIONS

LP-IR score was inversely associated with mortality among patients with heart failure and may be driven by smaller HDL particle size.

Iron deficiency in new onset heart failure: association with clinical factors and quality of life

AIMS

The prevalence of iron deficiency (ID) in newly diagnosed heart failure (HF) and the progression of ID in patients after initiation of HF therapy are unknown. We aimed to describe the natural trajectory of ID in patients with new onset HF during the first year after HF diagnosis, assessing associations between ID, clinical factors, and quality of life (QoL).

METHODS AND RESULTS

A prospective cohort of patients with new onset HF in hospitals or outpatient clinics at five major hospitals in Stockholm, Sweden, during 2015-2018 were analysed with clinical assessment, electrocardiogram, blood samples including iron levels, Minnesota living with heart failure questionnaire (MLHFQ), and echocardiogram at baseline and after 12 months. Of 547 patients with new-onset HF, 482 (88%) had complete iron data at baseline. Mean age was 70 years (interquartile range 61-77) and 311 (65%) were men; 55% of patients had ejection fraction (EF) ≤ 40%, 19% had EF 41-49%, and 26% had HF with preserved EF (HFpEF). At baseline, 163 patients (34%) had ID defined as ferritin <100 μg/L or ferritin 100-299 μg/L and transferrin saturation <20%. After 12 months of follow-up, 119 (32%) had ID of the 368 patients who had complete iron data both at baseline and after 12 months and did not receive intravenous (i.v.) iron during follow-up. During the first year after HF diagnosis, 19% had persistent ID, 13% developed ID, 11% resolved ID, and 57% never had ID, consequently 24% changed their classification. Anaemia at baseline was the strongest independent predictor of ID 1 year after diagnosis [odds ratio (OR) 3.91, 95% confidence interval (CI) 1.88-8.13, P < 0.001], followed by HF hospitalization (OR 2.21, 95% CI 1.24-3.95, P < 0.01), female sex (OR 2.04, 95% CI 1.25-3.32, P < 0.01), HFpEF (OR 1.96, 95% CI 1.13-3.39, P < 0.05), and diabetes mellitus (OR 1.92, 95% CI 1.06-3.48, P < 0.05). ID was associated with low QoL at baseline (MLHFQ score mean difference 7.4 points, 95% CI 3.1-11.7, P < 0.001), but not at follow-up.

CONCLUSIONS

About one third of patients with new onset HF had ID both at the time of HF diagnosis and after 1 year, though a quarter of the patients changed their ID status. Patients with anaemia, HF hospitalization, female gender, HFpEF, or diabetes mellitus at baseline were more likely to have ID after 1 year implying that these should be carefully screened for ID to find those in need of i.v. iron treatment.

Medical Decision-Making and Revascularization in Ischemic Cardiomyopathy

Ischemic cardiomyopathy (ICM) is the most common underlying etiology of heart failure in the United States and is a significant contributor to deaths due to cardiovascular disease worldwide. The diagnosis and management of ICM has advanced significantly over the past few decades, and the evidence for medical therapy in ICM is both compelling and robust. This contrasts with evidence for coronary revascularization, which is more controversial and favors surgical approaches. This review will examine landmark clinical trial results in detail as well as provide a comprehensive overview of the current epidemiology, diagnostic approaches, and management strategies of ICM.

The Simplified Thrombo-Inflammatory Score as a Novel Predictor of All-Cause Mortality in Patients with Heart Failure: A Retrospective Cohort Study

Background

The simplified thrombo-inflammatory score (sTIPS) has recently emerged as a novel prognostic score. Hence, we investigated the prognostic value of sTIPS for predicting long-term mortality in patients with heart failure (HF).

Methods

A total of 3741 patients were analyzed in this study. The sTIPS was calculated based on the white blood cell count (WBC) and the mean platelet volume to platelet count (MPV/PC) ratio at admission. The mean follow-up time was 22.75 months. Multivariable Cox regression analyses were used to investigate the associations between the sTIPS and all-cause mortality (ACM).

Results

In the whole study population, multivariate Cox regression analysis showed that patients in both the sTIPS 2 and sTIPS 1 groups had significantly increased risk of ACM as compared with patients in the sTIPS 0 group (hazard ratio [HR]=1.706, 95% confidence interval [CI]: 1.405-2.072, P<0.001 and HR = 1.431, 95% CI 1.270-1.612, P<0.001). The same significant trend was observed in heart failure with preserved ejection fraction (HFpEF) patients (sTIPS1 vs sTIPS0: HR = 1.366, 95% CI 1.100-1.697, P = 0.005; sTIPS2 vs sTIPS0: HR = 1.995, 95% CI 1.460-2.725, P<0.001). However, only sTIPS 1 group had a significantly increased the risk of ACM compared to the sTIPS 0 group among patients with HFmrEF (sTIPS1 vs sTIPS0: HR = 1.648, 95% CI 1.238-2.194, P = 0.001) and HFrEF (sTIPS1 vs sTIPS0: HR = 1.322, 95% CI 1.021-1.712, P = 0.035).

Conclusion

sTIPS is useful in predicting risk for long-term mortality in patients with HF.

Blood Cholesterol and Triglycerides Associate with Right Ventricular Function in Pulmonary Hypertension

Background

Blood lipids are dysregulated in pulmonary hypertension (PH). Lower high-density lipoproteins cholesterol (HDL-C) and low-density lipoproteins cholesterol (LDL-C) are associated with disease severity and death in PH. Right ventricle (RV) dysfunction and failure are the major determinants of morbidity and mortality in PH. This study aims to test the hypothesis that dyslipidemia is associated with RV dysfunction in PH.

Methods

We enrolled healthy control subjects (n=12) and individuals with PH (n=30) (age: 18-65 years old). Clinical characteristics, echocardiogram, 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (PET) scan, blood lipids, including total cholesterol (TC), triglycerides (TG), lipoproteins (LDL-C and HDL-C), and N-terminal pro-B type Natriuretic Peptide (NT-proBNP) were determined.

Results

Individuals with PH had lower HDL-C [PH, 41±12; control, 56±16 mg/dL, p<0.01] and higher TG to HDL-C ratio [PH, 3.6±3.1; control, 2.2±2.2, p<0.01] as compared to controls. TC, TG, and LDL-C were similar between PH and controls. Lower TC and TG were associated with worse RV function measured by RV strain (R=-0.43, p=0.02 and R=-0.37, p=0.05 respectively), RV fractional area change (R=0.51, p<0.01 and R=0.48, p<0.01 respectively), RV end-systolic area (R=-0.63, p<0.001 and R=-0.48, p<0.01 respectively), RV end-diastolic area: R=-0.58, p<0.001 and R=-0.41, p=0.03 respectively), and RV glucose uptake by PET (R=-0.46, p=0.01 and R=-0.30, p=0.10 respectively). NT-proBNP was negatively correlated with TC (R=-0.61, p=0.01) and TG (R=-0.62, p<0.02) in PH.

Conclusion

These findings confirm dyslipidemia is associated with worse right ventricular function in PH.

Heart Failure Treatment in 2023: Is There a Place for Lipid Lowering Therapy?

PURPOSE OF REVIEW

An evidence for lipid lowering therapy in heart failure is briefly summarized in this review.

RECENT FINDINGS

Heart failure therapy is based on recent guidelines for diagnosis and treatment of acute and chronic heart failure. The question of the importance of hypolipidemic treatment in heart failure remains insufficiently answered. We still rely only on results of two randomized controlled trials that did not show significant benefit of statins on mortality in these patients. In contrast, some meta-analysis, prospective or retrospective cohorts, found some positive effects of this therapy. Recently, the role of inflammation and the possibility of its influence by hypolipidemics have been discussed. PCSK9 inhibitors, new lipid lowering drugs, are very effective in LDL-cholesterol lowering and atherosclerotic cardiovascular diseases prevention. The role of PCSK9 inhibitors in heart failure treatment is investigated. Based on current knowledge, hypolipidemics are not generally recommended in heart failure therapy, unless there is another indication for their use.

Effect of Gut Microbiota on Blood Cholesterol: A Review on Mechanisms

The gut microbiota serves as a pivotal mediator between diet and human health. Emerging evidence has shown that the gut microbiota may play an important role in cholesterol metabolism. In this review, we delve into five possible mechanisms by which the gut microbiota may influence cholesterol metabolism: (1) the gut microbiota changes the ratio of free bile acids to conjugated bile acids, with the former being eliminated into feces and the latter being reabsorbed back into the liver; (2) the gut microbiota can ferment dietary fiber to produce short-chain fatty acids (SCFAs) which are absorbed and reach the liver where SCFAs inhibit cholesterol synthesis; (3) the gut microbiota can regulate the expression of some genes related to cholesterol metabolism through their metabolites; (4) the gut microbiota can convert cholesterol to coprostanol, with the latter having a very low absorption rate; and (5) the gut microbiota could reduce blood cholesterol by inhibiting the production of lipopolysaccharides (LPS), which increases cholesterol synthesis and raises blood cholesterol. In addition, this review will explore the natural constituents in foods with potential roles in cholesterol regulation, mainly through their interactions with the gut microbiota. These include polysaccharides, polyphenolic entities, polyunsaturated fatty acids, phytosterols, and dicaffeoylquinic acid. These findings will provide a scientific foundation for targeting hypercholesterolemia and cardiovascular diseases through the modulation of the gut microbiota.

A comprehensive assessment of oral health, swallowing difficulty, and nutritional status in older nursing home residents

Declines in oral consumption and swallowing function are common reasons which may elevate the risk of malnutrition in the older adults. This study aimed to provide valuable information and contribute to the existing body of knowledge in this field as well as highlight the importance of a comprehensive assessment of oral health, swallowing function, and nutritional status in long-term care residents. This was a cross-sectional study. Thirty-nine participants were recruited from a nursing home. The comprehensive assessment was evaluated in participants, including oral health (Oral Health Assessment Tool (OHAT)), swallowing function (Functional Oral Intake Scale (FOIS) and Eating Assessment Tool (EAT)-10), and nutritional status (Mini Nutritional Assessment-Short Form (MNA-SF). The average age of participants was 80.4 ± 11.7 years, and 46% of these older adults were found to be at the risk of malnutrition. There was a negative correlation between the OHAT and MNA-SF scores. In addition, subjects with poor oral health (OHAT score = 5~8), oral consumption of a modified diet (FOIS score = 4~6), and reduced swallowing function (EAT-10 score ≥ 3) were more likely to be at risk of malnutrition. A comprehensive evaluation of oral health and swallowing function was closely connected with the nutritional status of older nursing home dwellers.

Serum Cholesterol and Impact of Age on Coronary Heart Disease Death in More Than 4 Million Veterans

Background The lipid hypothesis postulates that lower blood cholesterol is associated with reduced coronary heart disease (CHD) risk, which has been challenged by reports of a U-shaped relation between cholesterol and death in recent studies. We sought to examine whether the U-shaped relationship is true and to assess the impact of age on this association. Method and Results We conducted a prospective cohort study of 4 467 942 veterans aged >18 years, with baseline outpatient visits from 2002 to 2007 and follow-up to December 30, 2018, in the Veterans Health Administration electronic health record system. We observed a J-shaped relation between total cholesterol (TC) and CHD mortality after a comprehensive adjustment of confounding factors: flat for TC <180 mg/dL, and greater risk was present at higher cholesterol levels. Compared with veterans with TC between 180 and 199 mg/dL, the multiadjusted hazard ratios (HRs) for CHD death were 1.03 (95% CI, 1.02-1.04), 1.07 (95% CI, 1.06-1.09), 1.15 (95% CI, 1.13-1.18), 1.25 (95% CI, 1.22-1.28), and 1.45 (95% CI, 1.42-1.49) times greater among veterans with TC (mg/dL) of 200 to 219, 220 to 239, 140 to 259, 260 to 279 and ≥280, respectively. Similar J-shaped TC-CHD mortality patterns were observed among veterans with and without statin use at or before baseline. Conclusions The cholesterol paradox, for example, higher CHD death in patients with a low cholesterol level, was a reflection of reverse causality, especially among older participants. Our results support the lipid hypothesis that lower blood cholesterol is associated with reduced CHD. Furthermore, the hypothesis remained true when TC was low due to use of statins or other lipid-lowering medication.

Lipoprotein(a) and heart failure: a systematic review

The role of lipoprotein(a) [Lp(a)] as a possible causal risk factor for atherosclerotic artery disease and aortic valve stenosis has been well established. However, the information on the association between Lp(a) levels and heart failure (HF) is limited and controversial. The main objective of the present study was to assess the association between Lp(a) levels and HF. This systematic review was performed according to PRISMA guidelines. A literature search was performed to detect studies that evaluated the association between Lp(a) levels and HF. Eight studies, including 73,410 patients, were eligible for this research. Seven prospective or retrospective cohorts and one cross-sectional study were analyzed. Five studies analyzed populations without HF; another three included patients with HF or left ventricular dysfunction. The endpoints evaluated varied according to the study analyzed, including incident HF, HF hospitalizations, and decreased left ventricular ejection fraction. Lp(a) levels were also analyzed in different ways, including analysis of Lp(a) as a continuous or categorical variable (distinct cut-off points or percentiles). Globally, the studies included in this review found predominantly positive results. Data on some relevant subgroups, such as HF of ischemic or non-ischemic etiology or HF with or without left ventricular dysfunction, was poorly reported. This systematic review suggests that there would be a positive relationship between Lp(a) levels and HF. Given the complexity and heterogeneity of HF, new studies should be developed to clarify this topic.

Association between oral contraceptives with lipid profile: results from Hoveyzeh cohort study (HCS)

BACKGROUND

Oral contraceptives (OCs) affect lipid metabolism, which can cause hyperlipidemia, a risk factor for cardiovascular diseases. The study was designed to evaluate the possible changes in lipid profile due to using OCs.

METHODS

A cross-sectional study was conducted from April 2016 to August 2018 among women from the baseline phase Hoveyzeh cohort study (HCS). Sociodemographic data, anthropometric measurements, physical activity, and biochemical blood tests were measured for every participant. Multiple logistic regression was used to adjust the potential confounders.

RESULTS

Among 2272 participants, 1549 women were OC users, and 723 women were non-user OCs. The mean lipid profile levels were higher in OC users than in non-user OCs. Odds of abnormal Total cholesterol (TC) in OC users were significantly higher than those of non-users OCs [OR = 1.29 (95% CI;1.05 to 1.58)]. Also, the Odds of abnormal low-density lipoprotein (LDL) in OC users was 12% higher than in non-user OCs. However, no significant relationship between abnormal LDL with Oral Contraceptive Pills (OCPs) was observed.

CONCLUSIONS

The mean lipid profile was higher in OC users compared to non-user OCs. This finding highlights the need for public health strategies to prevent and detect hyperlipidemia in user OCs.

Relationship between Cardiovascular Risk Factors and Composite Cardiovascular Outcomes in Patients Hospitalized with Takotsubo Syndrome: A Nationwide Analysis

The association of traditional cardiovascular disease (CVD) risk factors with outcomes of Takotsubo syndrome (TTS) is not well-defined. This study examined how modifiable CVD risk factors affect composite cardiovascular outcomes in TTS hospitalizations. TTS admissions were identified using ICD-10 codes and compared for demographics and comorbidities using the 2019 National Inpatient Sample. A multivariable regression examined the association of traditional CVD risk variables with adverse composite cardiovascular outcomes in TTS, controlling for confounders including sociodemographic or hospital-level characteristics and other relevant comorbidities. A total of 16,055 (38.1%) of the 41,855 adult TTS admissions had composite cardiovascular outcomes (TACCO). The TACCO cohort was 81.5% white, 77.3% female, and 72 years old. This group had higher rates of diabetes and peripheral vascular disease (PVD). The results showed that a higher prevalence of diabetes with chronic complications (OR = 1.18) and complicated hypertension (HTN) (OR = 1.1) predicted TACCO, whereas tobacco use disorder (OR = 0.84), hyperlipidemia (OR = 0.76), and uncomplicated HTN (OR = 0.65) (p < 0.001) showed a paradoxical effect with TACCO. TACCO had fewer routine discharges (35.3% vs. 63.4%), longer stays (6 vs. 3 days), and higher median hospital costs (78,309 USD vs. 44,966 USD). This population-based study found that complicated HTN and DM with chronic complications are strongly associated with adverse cardiovascular outcomes in TTS hospitalizations. But still, some risk factors, such as hyperlipidemia and uncomplicated HTN, have counterintuitive effects that require further evaluation. To prevent cardiac events in TTS patients, traditional CVD risk factors must be addressed.

Lower low density lipoprotein cholesterol associates to higher mortality in non-diabetic heart failure patients

Background

In patients with established heart failure (HF) low total cholesterol levels associate with worse prognosis. Evidence concerning the impact of Low-density lipoprotein cholesterol (LDL-c) in HF is scarce. We aimed to evaluate the prognostic impact of LDL-c in patients with HF, both with and without diabetes mellitus (DM).

Methods

We retrospectively analyzed outpatients with chronic HF with systolic dysfunction followed in our HF clinic from January/2012 to May/2018. LDL-c was calculated using the Friedewald's formula. Patients without a complete lipid profile were excluded. The endpoint under analysis was all-cause mortality. Patients were followed until January/2021. A Cox-regression analysis was used to study the prognostic impact of LDL-c. The LDL-c cut-off used was 100 mg/dL (mean value). Analysis was stratified according to the coexistence of DM. Multivariate models were built adjusting for age, sex, coronary artery disease, atherosclerotic non-coronary artery disease, arterial hypertension, smoking status, statin use, severity of systolic dysfunction, creatinine clearance and evidence-based therapy.

Results

We studied 522 chronic HF patients, mean age was 70 years, 66.5% males. Severe systolic dysfunction was present in 42.7%, 30.5% had coronary heart disease, 60.5% had arterial hypertension, 41.6% had DM. A total of 92.0% were treated with beta blocker, 87.5% with an ACEi/ARB and 29.1% with a MRA. During a median follow-up of 53 (interquartile range 33-73) months, 235 (45%) patients died. Patients with LDL-c ≤100 mg/dL presented increased multivariate-adjusted risk of all-cause mortality: HR = 1.58 (95% CI: 1.08-2.30), p = 0.02. When patients were stratified according to DM, LDL-c ≤100 mg/dL was independently associated with increased death risk - HR = 1.55 (95% CI:1.05-2.30), p = 0.03 in patients without DM; in patients with DM no association was detected - multivariate-adjusted HR = 1.18 (95% CI: 0.77-1.80), p = 0.44.

Conclusion

Non-DM HF patients with LDL-c>100 mg/dL have a 35% reduction in the mortality risk when compared with those with lower values. The "cholesterol paradox" in HF also applies to LDL-c in non-DM patients.

The prognostic role of the low and very low baseline LDL-C level in outcomes of patients with cardiac revascularization; comparative registry-based cohort design

BACKGROUND

Although low-density lipoprotein-cholesterol (LDL-C) level is considered one of the main prognostic factors in patients with coronary artery bypass grafting (CABG), the question about "the lower the better" is still unanswered. We aimed to evaluate and compare the outcomes of patients with CABG and low or very low baseline LDL-C, regardless of statin usage.

METHODS

In this registry-based cohort study, 10,218 patients with low/very low (70-100 and ≤ 70 mg/dL) baseline LDL-C who underwent isolated and the first-time CABG without known previous history of cardio-cerebrovascular events, were included and compared. The median follow-up was 73.33 (72.15-74.51) months. Primary outcomes were all-cause mortality and major adverse cardio-cerebrovascular events (MACCE) (consisted of all-cause mortality, acute coronary syndrome, stroke or transient ischemic attack, and the need for repeat revascularization [percutaneous coronary intervention or redo-CABG]). Cox regression analyses before and after the propensity score matching (PSM) model were applied to evaluate and compare outcomes.

RESULTS

The mean age of the study population was 66.17 ± 9.98 years old and 2506 (24.5%) were women. Diabetes mellitus and a history of cigarette smoking were significantly higher in the very low LDL group (P-value ≤ 0.001). In Cox regression analyses before applying PSM model, both all-cause mortality (14.2% vs. 11.9%, P-value = 0.004 and MACCE (26.0% vs. 23.6%, P-value = 0.006) were significantly higher in the very low LDL group compared to low LDL. However, these results were no longer significant after applying the PSM model (all-cause mortality HR: 1.115 [95% CI: 0.986-1.262], P = 0.083 and MACCE HR: 1.077 [95%CI: 0.984-1.177], P = 0.095). The sensitivity analysis to remove the statin effect demonstrated that very low LDL-C level was correlated to higher risk of all-cause mortality in both unmatched and PSM analyses.

CONCLUSION

Very low serum LDL-C levels (≤ 70 mg/dl) could increase long-term all-cause mortality and cardiovascular events in patients who have undergone isolated CABG.

Low Cholesterol Levels in Younger Heart Failure Patients May Predict Unfavorable Outcomes

Background and Objectives: Hypercholesterolemia is a main risk-factor leading to ischemic heart disease (IHD). However, among patients with heart failure, the use of lipid lowering drugs in the presence of low cholesterol might be dangerous. This 18-year longitudinal study of patients ≤51 years old investigated the relationship between baseline total cholesterol, low-density lipoprotein cholesterol (LDL-c) and triglyceride levels, and survival among patients with severe HF. Materials and Methods: The average NYHA score of 82 patients ≤51 years old with heart failure was 2.61. They were followed for a mean of 11.3 years (15 months-20 years). Total mortality was 22%. Patients were divided into three groups. Group 1 had plasma LDL-c levels ≤ 80 mg/dl, Group 2, 80-115 mg/dl and Group 3 > 115 mg/dl. Results: Patients with the highest baseline total cholesterol, triglyceride and LDL-c levels > 115 mg/dl had a better survival rate (83%) compared to those with LDL-c < 80 mg/dl (50% survival, p = 0.043). The association between higher LDL-c levels and lower mortality was most noticeable among patients with heart failure. Conclusion: Longitudinal follow-up found that low LDL-c levels may indicate poorer prognosis among patient with heart failure who are ≤51 years old, similar to elderly heart failure patients. Cholesterol lowering drugs in younger patients with heart failure may increase mortality.

Impact of malnutrition on prognosis in patients with pulmonary arterial hypertension

Pulmonary arterial hypertension is a life-threatening disease that coexists with right heart failure. We evaluated the relationship between malnutrition and prognosis in patients with pulmonary arterial hypertension, as malnutrition is known as a prognosis determinant in chronic heart failure. We retrospectively reviewed data of patients with pulmonary arterial hypertension before treatment. The Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Controlling Nutritional Status scores on the day of diagnosis were calculated to assess the nutritional status. Clinical endpoints were defined as composite outcomes of all-cause death or lung transplantation. Eighty patients were enrolled (mean age, 50 years; 23 men). The mean pulmonary arterial pressure was 47 ± 19 mmHg, Geriatric Nutritional Risk Index was 99.9 ± 12.0, and Prognostic Nutritional Index was 46.3 ± 10.0. The median Controlling Nutritional Status score was 2 (1-4). During the median 5.5-year follow-up period, 28 composite events occurred. Kaplan-Meier analysis demonstrated significant differences in the incidence of clinical endpoints between groups divided by each median Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Controlling Nutritional Status score (p = 0.007, 0.039, and 0.010, respectively). In multivariate Cox regression analysis, clinical endpoints were significantly associated with Geriatric Nutritional Risk Index (hazard ratio: 0.953, 95% confidence interval: 0.918-0.990), Prognostic Nutritional Index (hazard ratio: 0.942, 95% confidence interval: 0.892-0.996), and Controlling Nutritional Status score (hazard ratio: 1.230, 95% confidence interval: 1.056-1.433) after adjustment for factors associated in univariate Cox regression analysis. Malnutrition at diagnosis is a useful prognostic predictor for patients with pulmonary arterial hypertension.

Serum lipidomics reveals phosphatidylethanolamine and phosphatidylcholine disorders in patients with myocardial infarction and post-myocardial infarction-heart failure

BACKGROUND

Myocardial infarction (MI) and post-MI-heart failure (pMIHF) are a major cause of death worldwide, however, the underlying mechanisms of pMIHF from MI are not well understood. This study sought to characterize early lipid biomarkers for the development of pMIHF disease.

METHODS

Serum samples from 18 MI and 24 pMIHF patients were collected from the Affiliated Hospital of Zunyi Medical University and analyzed using lipidomics with Ultra High Performance Liquid Chromatography and Q-Exactive High Resolution Mass Spectrometer. The serum samples were tested by the official partial least squares discriminant analysis (OPLS-DA) to find the differential expression of metabolites between the two groups. Furthermore, the metabolic biomarkers of pMIHF were screened using the subject operating characteristic (ROC) curve and correlation analysis.

RESULTS

The average age of the 18 MI and 24 pMIHF participants was 57.83 ± 9.28 and 64.38 ± 10.89 years, respectively. The B-type natriuretic peptide (BNP) level was 328.5 ± 299.842 and 3535.96 ± 3025 pg/mL, total cholesterol(TC) was 5.59 ± 1.51 and 4.69 ± 1.13 mmol/L, and blood urea nitrogen (BUN) was 5.24 ± 2.15 and 7.20 ± 3.49 mmol/L, respectively. In addition, 88 lipids, including 76 (86.36%) down-regulated lipids, were identified between the patients with MI and pMIHF. ROC analysis showed that phosphatidylethanolamine (PE) (12:1e_22:0) (area under the curve [AUC] = 0.9306) and phosphatidylcholine (PC) (22:4_14:1) (AUC = 0.8380) could be potential biomarkers for the development of pMIHF. Correlation analysis showed that PE (12:1e_22:0) was inversely correlated with BNP and BUN, but positively correlated with TC. In contrast, PC (22:4_14:1) was positively associated with both BNP and BUN, and was negatively associated with TC.

CONCLUSIONS

Several lipid biomarkers were identified that could potentially be used to predict and diagnose patients with pMIHF. PE (12:1e_22:0) and PC (22:4_14:1) could sufficiently differentiate between patients with MI and pMIHF.

Impact of Naples Prognostic Score on midterm all-cause mortality in patients with decompensated heart failure

Aim: This work was designed to investigate the relationship between cardiac outcomes and Naples Prognostic Score (NPS) among heart failure (HF) patients. Materials & methods: This retrospective observational study enrolled 298 consecutive individuals hospitalized for New York Heart Association class 3-4 HF. The primary outcome was all-cause mortality. Secondary outcomes were rehospitalization and in-hospital death. Results: The high NPS group had a statistically greater rate of all-cause mortality (p < 0.001). In Cox regression analysis, integrating NPS considerably improved the performance of the full model over the baseline model (adjusted hazard ratio = 2.28; p = 0.004). Based on time-dependent receiver operating characteristic curve analysis, the NPS model outperformed the baseline and CONUT score models in discriminatory power in predicting the probability of survival. Conclusion: NPS was associated with short- and midterm mortality as well as rehospitalization.

Association between energy intake patterns and outcome in US heart failure patients

BACKGROUND

The association between dietary energy patterns, calories, and the outcomes of heart failure (HF) is still unclear.

OBJECTIVES

To evaluate the proper energy intake patterns and daily calorie intake in patients with heart failure among US adults.

METHODS

The data were derived from the 2001-2014 National Health and Nutrition Examination Survey (NHANES). A calorie intake pattern variable was created using latent class analysis (LCA) based on the calorie ratio of three major nutrients. Cox proportional hazard regression models were used to evaluate the hazard ratios (HR) and 95% confidence intervals (CI) of the association between calorie intake and energy patterns. The primary endpoint was all-cause mortality.

RESULTS

Among 991 participants (mean age 67.3 ± 12.9 years; 55.7% men) who suffered from heart failure; the median calorie intake was 1,617 kcal/day [interquartile range (IQR): 1,222-2,154 kcal/day]. In the multivariable-adjusted model, moderate malnutrition was more frequent to death (HR: 2.15; 95% CI: 1.29-3.56). Low-carbohydrate pattern (LCP) and median-carbohydrate pattern (MCP) had lower risks of death compared to high-carbohydrate pattern (HCP) (LCP: HR: 0.76; 95% CI: 0.59-0.97; MCP: HR: 0.77; 95% CI: 0.60-0.98). No association between different amounts of calorie intake and all-cause mortality was found. There was an adjusted significant interaction between calorie intake and energy intake patterns (p = 0.019). There was a linear relationship between energy intake through HCP and all-cause mortality (p for non-linear = 0.557). A non-linear relationship between energy intake through MCP and all-cause mortality (p for non-linear = 0.008) was observed.

CONCLUSION

Both LCP and MCP, compared to HCP, were associated with better outcomes in the HF population. The relationship between energy intake and all-cause death may be influenced by energy intake patterns in HF patients.

Heart Failure and Diabetes Mellitus: Dangerous Liaisons

Patients with diabetes mellitus (DM) have a higher prevalence of heart failure (HF) than those without it. Approximately 40% of HF patients have DM, having poorer outcomes than those without DM. Myocardial ischemia caused by endothelial dysfunction, renal dysfunction, obesity, and impaired myocardial energetics is pathophysiology of DM-induced HF (DM-HF). Also, patients with HF show an increased risk for the onset of DM due to several mechanisms including insulin resistance. This review is focused on the epidemiology, pathogenic mechanism and treatment strategy of DM-HF.

Impact of Low Baseline Low-Density Lipoprotein Cholesterol on Long-Term Postdischarge Cardiovascular Outcomes in Patients With Acute Myocardial Infarction

Background

Real‐world data on low baseline low‐density lipoprotein cholesterol (LDL‐C) levels and long‐term postdischarge cardiovascular outcomes in patients with acute coronary syndrome are limited.

Methods and Results

Of the 10 719 patients enrolled in the Korean registry of acute myocardial infarction between January 2004 and August 2014, we identified 5532 patients who were event free from death, recurrent myocardial infarction, or stroke during the in‐hospital period after successful percutaneous coronary intervention. The co–primary outcomes were 3‐point major adverse cardiovascular events (a composite of nonfatal stroke, nonfatal myocardial infarction, and cardiovascular death) and cardiovascular death at 5 years. Of 5532 patients with acute myocardial infarction (mean age, 62.1±12.8 years; 75.0% men), 446 cardiovascular deaths (8.1%) and 695 three‐point major adverse cardiovascular events (12.6%) occurred at 5 years. In the continuous analysis of LDL‐C, the risk of cardiovascular events increased steeply as LDL‐C levels decreased from 100 mg/dL. For categorical analysis of LDL‐C (<70, 70–99, and ≥100 mg/dL), as LDL‐C levels decreased, clinical outcomes worsened (237/3759 [6.3%] in LDL‐C ≥100 mg/dL versus 123/1291 [9.5%] in LDL‐C 70–99 mg/dL versus 86/482 [17.8%] in LDL‐C <70 mg/dL for cardiovascular death; P‐trend<0.001; and 417/3759 [11.1%] in LDL‐C ≥100 mg/dL versus 172/1291 [13.3%] in LDL‐C 70–99 mg/dL versus 106/482 [22.2%] in LDL‐C <70 mg/dL for 3‐point major adverse cardiovascular event; P‐trend<0.001). In a Cox time‐to‐event multivariable model with LDL‐C levels ≥100 mg/dL as the reference, the baseline LDL‐C level <70 mg/dL was independently associated with an increased incidence of cardiovascular death (adjusted hazard ratio, 1.68 [95% CI, 1.30–2.17]) and 3‐point major adverse cardiovascular event (adjusted hazard ratio, 1.37 [95% CI, 1.10–1.71]).

Conclusions

In this Korean acute myocardial infarction registry, the baseline LDL‐C level <70 mg/dL was significantly associated with an increased incidence of long‐term cardiovascular events after discharge. (COREA [Cardiovascular Risk and Identification of Potential High‐Risk Population]‐Acute Myocardial Infarction Registry; NCT02806102).

Registration

URL: https://www.clinicaltrials.gov/; Unique identifier: NCT02806102.

Utilizing longitudinal data in assessing all-cause mortality in patients hospitalized with heart failure

AIMS

Risk stratification in patients with a new onset or worsened heart failure (HF) is essential for clinical decision making. We have utilized a novel approach to enrich patient level prognostication using longitudinally gathered data to develop ML-based algorithms predicting all-cause 30, 90, 180, 360, and 720 day mortality.

METHODS AND RESULTS

In a cohort of 2449 HF patients hospitalized between 1 January 2011 and 31 December 2017, we utilized 422 parameters derived from 151 451 patient exams. They included clinical phenotyping, ECG, laboratory, echocardiography, catheterization data or percutaneous and surgical interventions reflecting the standard of care as captured in individual electronic records. The development of predictive models consisted of 101 iterations of repeated random subsampling splits into balanced training and validation sets. ML models yielded area under the receiver operating characteristic curve (AUC-ROC) performance ranging from 0.83 to 0.89 on the outcome-balanced validation set in predicting all-cause mortality at aforementioned time-limits. The 1 year mortality prediction model recorded an AUC of 0.85. We observed stable model performance across all HF phenotypes: HFpEF 0.83 AUC, HFmrEF 0.85 AUC, and HFrEF 0.86 AUC, respectively. Model performance improved when utilizing data from more hospital contacts compared with only data collected at baseline.

CONCLUSIONS

Our findings present a novel, patient-level, comprehensive ML-based algorithm for predicting all-cause mortality in new or worsened heart failure. Its robust performance across phenotypes throughout the longitudinal patient follow-up suggests its potential in point-of-care clinical risk stratification.

Nutrition Assessment and Dietary Interventions in Heart Failure: JACC Review Topic of the Week

Despite the high prevalence of nutrition disorders in patients with heart failure (HF), major HF guidelines lack specific nutrition recommendations. Because of the lack of standardized definitions and assessment tools to quantify nutritional status, nutrition disorders are often missed in patients with HF. Additionally, a wide range of dietary interventions and overall dietary patterns have been studied in this population. The resulting evidence of benefit is, however, conflicting, making it challenging to determine which strategies are the most beneficial. In this document, we review the available nutritional status assessment tools for patients with HF. In addition, we appraise the current evidence for dietary interventions in HF, including sodium restriction, obesity, malnutrition, dietary patterns, and specific macronutrient and micronutrient supplementation. Furthermore, we discuss the feasibility and challenges associated with the implementation of multimodal nutrition interventions and delineate potential solutions to facilitate addressing nutrition in patients with HF.

HDL Composition, Heart Failure, and Its Comorbidities

Although research on high-density lipoprotein (HDL) has historically focused on atherosclerotic coronary disease, there exists untapped potential of HDL biology for the treatment of heart failure. Anti-oxidant, anti-inflammatory, and endothelial protective properties of HDL could impact heart failure pathogenesis. HDL-associated proteins such as apolipoprotein A-I and M may have significant therapeutic effects on the myocardium, in part by modulating signal transduction pathways and sphingosine-1-phosphate biology. Furthermore, because heart failure is a complex syndrome characterized by multiple comorbidities, there are complex interactions between heart failure, its comorbidities, and lipoprotein homeostatic mechanisms. In this review, we will discuss the effects of heart failure and associated comorbidities on HDL, explore potential cardioprotective properties of HDL, and review novel HDL therapeutic targets in heart failure.

Low total cholesterol predicts early death in children with hemophagocytic lymphohistiocytosis

BACKGROUND

Hemophagocytic lymphohistiocytosis (HLH) is a rapidly progressive and potentially life-threatening disorder. Identifying risk factors and timely adjustment of the given treatment regimens is critical to reducing the early mortality in HLH patients. Hypocholesterolemia has been reported to be associated with poor prognosis in a variety of critical illnesses. However, serum cholesterol is rarely studied in HLH patients, and its prognostic value is unclear.

METHODS

We conducted a retrospective cohort study in National Clinical Research Center for Child Health and Disorders (Chongqing), identifying pediatric HLH patients (including genetically confirmed pHLH and not genetically confirmed pHLH) diagnosed with the HLH-2004 protocol and treated with immunochemotherapy between January 2008 and December 2020. The patients' blood lipid levels at initial diagnosis of HLH, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), were reviewed based on electronic medical records. Both Cox and logistic regression models were used to estimate the effects of blood lipid indicators on early death (within 30 days after diagnosis).

RESULTS

A total of 353 patients were enrolled in the study, with a median age at diagnosis of 45 months. The observed 30-day mortality rate was 19.05% (64/336, 17 were lost to follow-up) and Kaplan-Meier-estimated 3-year survival rate was 61.67% (95% CI, 56.27%-67.59%). DNA-targeted sequencing of HLH-related genes was performed in 173 (49.0%, 173/353) patients (not all patients with suspected pHLH underwent genetic testing), and 29 patients were diagnosed with genetically confirmed pHLH. Lipid panel was performed in 349 patients: 91.98% (321/349) had TG ≥ 1.80 mmol/L, 62.75%(219/349) had TG ≥ 3.00 mmol/L, 92.84% (324/349) had HDL-C ≤ 1.04 mmol/L, 58.74% (205/349) had LDL-C ≤ 1.30 mmol/L and 24.64% (86/349) had TC ≤ 3.11 mmol/L. TC ≤ 3.11 mmol/L and BUN ≥ 7.14 mmol/L were the independent risk factors for 30-day mortality [HR(95%CI): 2.85(1.46, 5.57) and 2.90(1.48, 5.68), respectively]. The presence of one of these risk factors increased the 30-day mortality rate by 6-fold [HR = 6.24, 95%CI: (3.18, 12.22)] and the presence of two risk factors by nearly 10-fold [HR = 9.98, 95%CI: (4.23, 23.56)] compared with the patients with no risk factors.

CONCLUSION

Severe derangement of lipoproteins is common in children with HLH, and decreased TC is an independent risk factor for early death. Hypocholesterolemia should be included as a biomarker during the diagnosis and management of HLH patients.

Alirocumab after acute coronary syndrome in patients with a history of heart failure

AIMS 

Patients with heart failure (HF) have not been shown to benefit from statins. In a post hoc analysis, we evaluated outcomes in ODYSSEY OUTCOMES in patients with vs. without a history of HF randomized to the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor alirocumab or placebo.

METHODS AND RESULTS 

Among 18 924 patients with recent acute coronary syndrome (ACS) receiving intensive or maximum-tolerated statin treatment, the primary outcome of major adverse cardiovascular events (MACE) was compared in patients with or without a history of HF. The pre-specified secondary outcome of hospitalization for HF was also analysed. Overall, 2815 (14.9%) patients had a history of HF. Alirocumab reduced low-density lipoprotein cholesterol and lipoprotein(a) similarly in patients with or without HF. Overall, alirocumab reduced MACE compared with placebo [hazard ratio (HR): 0.85; 95% confidence interval (CI): 0.78-0.93; P = 0.0001]. This effect was observed among patients without a history of HF (HR: 0.78; 95% CI: 0.70-0.86; P < 0.0001), but not in those with a history of HF (HR: 1.17; 95% CI: 0.97-1.40; P = 0.10) (Pinteraction = 0.0001). Alirocumab did not reduce hospitalization for HF, overall or in patients with or without prior HF.

CONCLUSION

Alirocumab reduced MACE in patients without a history of HF but not in patients with a history of HF. Alirocumab did not reduce hospitalizations for HF in either group. Patients with a history of HF are a high-risk group that does not appear to benefit from PCSK9 inhibition after ACS.

KEY QUESTION

Patients with heart failure (HF) have not been shown to benefit from statins. In a post hoc analysis of the ODYSSEY OUTCOMES trial in patients with recent acute coronary syndrome (ACS), we evaluated major adverse cardiovascular events (MACE) in patients with or without a history of HF assigned to treatment with the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor alirocumab or placebo.

KEY FINDING

Alirocumab reduced low-density lipoprotein cholesterol similarly in patients with or without HF. However, alirocumab reduced MACE among patients without a history of HF, but not in those with a history of HF.

TAKE HOME MESSAGE

The current hypothesis-generating analysis does not provide a basis to recommend PCSK9 inhibitors to patients with recent ACS and a history of HF. A prospective placebo-controlled evaluation of PCSK9 inhibition in this setting is warranted.

Lower LDL-cholesterol levels associated with increased inflammatory burden in patients with acute ST-segment elevation myocardial infarction

OBJECTIVE

Association of low-density lipoprotein cholesterol and highly sensitive C-reactive protein in ST-elevation myocardial infarction patients was assessed in this study.

METHODS

591 consecutive patients who were hospitalized with a diagnosis of ST-elevation myocardial infarction were enrolled and assigned into tertiles according to their serum low-density lipoprotein cholesterol levels. Differences in highly sensitive C-reactive protein among low-density lipoprotein cholesterol tertiles and correlations between highly sensitive C-reactive protein and low-density lipoprotein cholesterol were assessed.

RESULTS

Highly sensitive C-reactive protein levels differed significantly among the groups (p<0.001) and found to be highest in the low-density lipoprotein cholesterol tertile 1 and lowest in the low-density lipoprotein cholesterol tertile 3 (post-hoc p-values: tertile 1 vs. 2 <0.001; tertile 1 vs. 3 <0.001; tertile 2 vs. 3=0.019). There was a negative correlation between hs-CRP and both low-density lipoprotein cholesterol (r=-0.332, p<0.001) and total cholesterol (r=-0.326, p<0.001). There was also a negative correlation between highly sensitive C-reactive protein and high-density lipoprotein cholesterol, though the strength of this relationship was weak (r=-0.103, p=0.014).

CONCLUSION

Lower low-density lipoprotein cholesterol levels are associated with higher inflammatory burden in patients with acute STEMI. Further studies are required to elucidate the significance of low-density lipoprotein cholesterol levels in ST-elevation myocardial infarction settings.

A Review of the Role of Statins in Heart Failure Treatment

BACKGROUND

Heart failure is a common medical problem in the world, which has a high prevalence in both developed and developing countries. Today, among the medications used for the heart failure treatment, there are many medications with a positive cardiac contraction effect (positive inotropic such as digital glycosides, adrenergic receptor stimulants, and phosphodiesterase inhibitors), a large number of cardiac diluents (such as Angiotensin-Converting Enzyme (ACE) inhibitor group), and a few other types of drugs whose final effects are still under review. Statins are valuable drugs that are broadly prescribed in hyperlipidemia and cardiovascular patients due to their multiple properties, such as cholesterol reduction, endothelial function improvement, antioxidative, anti-inflammatory, neovascularization, and immunomodulatory activities.

METHODS

There is evidence that the therapeutic role of statins in HF, due to myocardial hypertrophy, show reduction in cardiomyocyte loss in the apoptosis process, oxidative stress, inflammation, and also the return of neurohormonal imbalance. However, the fact that these drugs have no sideeffects has not been confirmed in all studies, as statins prevent the production of particular beneficial and protective factors, such as coenzyme Q10 (CoQ10), while inhibiting the production of specific proteins involved in pathologic mechanisms.

RESULTS

Recently, it has been hypothesized that, despite the positive effects reported, high doses of statins in patients with long-term heart failure lead to progress in heart failure by inhibiting CoQ10 synthesis and intensifying hypertrophy.

CONCLUSION

Thus, it can be stated that the advantage of using statins depends on factors, such as stroke fraction, and the existence of other standard indications such as atherosclerotic diseases or high Low-Density Lipoprotein-C (LDL-C).

Identification of serum predictors of n-acetyl-l-cysteine and isoproterenol induced remodelling in cardiac hypertrophy

Cardiac hypertrophy (CH), leading to cardiac failure is due to chronic metabolic alterations occurring during cellular stress. Besides the already known relationship between oxidative stress and CH, there are implications of reductive stress leading to CH. This study attempted to develop reductive stress-based CH rat model using n-acetyl-L-cysteine (NAC), a glutathione agonist that was compared with typical isoproterenol (ISO) induced CH model. The main objective was to identify serum metabolites that can serve as potent predictors for seven routine clinical and diagnostic parameters in CH: 3-hydroxybutyrate (3-HB), lactic acid (LA), urea, and ECG-CH parameters (QRS complex, R-amplitude, R-R interval, heart rate) that were hypothesized to underlie metabolic remodelling in this study. CH was assessed using electrocardiography, hypertrophic index and histopathological analysis (H&E stain) in both ventricles after 2 weeks. Gas chromatography mass spectroscopy analysis (GC-MS) identified unique metabolite finger-prints. Correlation and pattern analysis revealed strong relationships between specific metabolites and parameters (Pearson's score > 0.7) of this study. Multiple regression analysis (MRA) for the strongly related metabolites (independent variables) with each of the seven parameters (dependent variables) identified significant predictors for the latter namely fructose, valine, butanoic acid in NAC and cholesterol, erythrose, isoleucine in ISO models, with proline and succinic acid as common for both models. Metabolite set enrichment analysis (MSEA) of those significant predictors (p < 0.05) mapped butyrate metabolism as highly influential pathway in NAC, with arginine-proline metabolism and branched chain amino acid (BCAA) degradation as common pathways in both models, thus providing new insights towards initial metabolic remodeling in the pathogenesis of CH.

Stage A Heart Failure: Modern Strategies for an Effective Prevention

Stage A heart failure (HF) patients do not show HF symptoms or any structural heart disease but are at risk of HF development. Cardiovascular risk factors (hypertension, diabetes, metabolic syndrome, sedentary lifestyle, poor diet, and exposure to cardiotoxic agents) characterize subjects affected by stage A HF. It is essential to identify these subjects early and ensure that, despite being asymptomatic, they grasp the importance of undertaking correct lifestyle and therapeutic interventions. A careful stratification of asymptomatic subject's risk profile is needed to adopt proper preventive strategies and to set individualized therapeutic targets that avoid progression to advanced stages of HF.

The Association Between Hyperlipidemia and In-Hospital Outcomes in Takotsubo Cardiomyopathy

PURPOSE

Hyperlipidemia (HLD) is one of the most common cardiovascular risk factors and is prevalent in patients with takotsubo cardiomyopathy (TCM), but the association between HLD and TCM patients' outcomes is unclear. We investigated the impact of HLD on the in-hospital outcomes of TCM patients.

PATIENTS AND METHODS

Our retrospective cohort study used the latest available data from the National Inpatient Sample (2016-2017). Using the ICD-10 code, we identified 3139 patients with a primary diagnosis of TCM, 1530 of whom had HLD. We compared in-hospital outcomes between HLD and non-HLD groups before and after propensity score matching.

RESULTS

In the unmatched cohort, the HLD group had lower incidences of cardiac arrest, cardiogenic shock, and acute respiratory failure (ARF); shorter length of stay (LOS); and lower total charges (All p<0.05). In-hospital mortality (p=0.102) and ventricular arrhythmia (p=0.235) rates did not differ. After propensity score matching, the HLD group had lower rates of in-hospital mortality (1.1% vs 2.4%, p=0.027), ARF (9.1% vs 12.1%, p = 0.022) and cardiogenic shock (3.4% vs 5.6%, p=0.012), shorter LOS (3.20 ± 3.27 days vs 3.57 ± 3.14 days, p=0.005), and lower total charges (p=0.013). The matched groups did not differ significantly regarding cardiac arrest (p=0.141), ventricular arrhythmia (p=0.662) or acute kidney injury (AKI) (p = 0.167).

CONCLUSION

Counterintuitively, HLD was associated with better in-hospital outcomes in both the unmatched and propensity-matched cohorts of hospitalized TCM patients. Further studies are needed to investigate the mechanisms that may contribute to the association in TCM patients with HLD.

Testing lipid markers as predictors of all-cause morbidity, cardiac disease, and mortality risk in captive western lowland gorillas (Gorilla gorilla gorilla)

Great apes and humans develop many of the same health conditions, including cardiac disease as a leading cause of death. In humans, lipid markers are strong predictors of morbidity and mortality risk. To determine if they similarly predict risk in gorillas, we measured five serum lipid markers and calculated three lipoprotein ratios from zoo-housed western lowland gorillas (aged 6-52 years, n = 61 , subset with routine immobilizations only: n = 47 ): total cholesterol (TC), triglycerides (TGs), high-density lipoprotein (HDL), low-density lipoprotein (LDL), apolipoprotein A1 (apoA1), TC / HDL , LDL / HDL , and TG / HDL . We examined each in relation to age and sex, then analyzed whether they predicted all-cause morbidity, cardiac disease, and mortality using generalized linear models (GLMs). Older age was significantly associated with higher TG, TC / HDL , LDL / HDL , and TG / HDL , and lower HDL and apoA1. With all ages combined, compared to females, males had significantly lower TG, TC / HDL , LDL / HDL , and TG / HDL , and higher HDL. Using GLMs, age, sex, and lower LDL / HDL were significant predictors of all-cause morbidity; this is consistent with research demonstrating lower LDL in humans with arthritis, which was the second most prevalent condition in this sample. In contrast to humans, lipid markers were not better predictors of cardiac disease and mortality risk in gorillas, with cardiac disease best predicted by age and sex alone, and mortality risk only by age. Similar results were observed when multimodel inference was used as an alternative analysis strategy, suggesting it can be used in place of or in addition to traditional methods for predicting risk.

Developing and validating models to predict sudden death and pump failure death in patients with heart failure and preserved ejection fraction

BACKGROUND

Sudden death (SD) and pump failure death (PFD) are leading modes of death in heart failure and preserved ejection fraction (HFpEF). Risk stratification for mode-specific death may aid in patient enrichment for new device trials in HFpEF.

METHODS

Models were derived in 4116 patients in the Irbesartan in Heart Failure with Preserved Ejection Fraction trial (I-Preserve), using competing risks regression analysis. A series of models were built in a stepwise manner, and were validated in the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM)-Preserved and Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trials.

RESULTS

The clinical model for SD included older age, men, lower LVEF, higher heart rate, history of diabetes or myocardial infarction, and HF hospitalization within previous 6 months, all of which were associated with a higher SD risk. The clinical model predicting PFD included older age, men, lower LVEF or diastolic blood pressure, higher heart rate, and history of diabetes or atrial fibrillation, all for a higher PFD risk, and dyslipidaemia for a lower risk of PFD. In each model, the observed and predicted incidences were similar in each risk subgroup, suggesting good calibration. Model discrimination was good for SD and excellent for PFD with Harrell's C of 0.71 (95% CI 0.68-0.75) and 0.78 (95% CI 0.75-0.82), respectively. Both models were robust in external validation. Adding ECG and biochemical parameters, model performance improved little in the derivation cohort but decreased in validation. Including NT-proBNP substantially increased discrimination of the SD model, and simplified the PFD model with marginal increase in discrimination.

CONCLUSIONS

The clinical models can predict risks for SD and PFD separately with good discrimination and calibration in HFpEF and are robust in external validation. Adding NT-proBNP further improved model performance. These models may help to identify high-risk individuals for device intervention in future trials.

CLINICAL TRIAL REGISTRATION

I-Preserve: ClinicalTrials.gov NCT00095238; TOPCAT: ClinicalTrials.gov NCT00094302; CHARM-Preserved: ClinicalTrials.gov NCT00634712.

Novel plasma biomarkers improve discrimination of metabolic health independent of weight

We sought to determine if novel plasma biomarkers improve traditionally defined metabolic health (MH) in predicting risk of cardiovascular disease (CVD) events irrespective of weight. Poor MH was defined in CATHGEN biorepository participants (n > 9300), a follow-up cohort (> 5600 days) comprising participants undergoing evaluation for possible ischemic heart disease. Lipoprotein subparticles, lipoprotein-insulin resistance (LP-IR), and GlycA were measured using NMR spectroscopy (n = 8385), while acylcarnitines and amino acids were measured using flow-injection, tandem mass spectrometry (n = 3592). Multivariable Cox proportional hazards models determined association of poor MH and plasma biomarkers with time-to-all-cause mortality or incident myocardial infarction. Low-density lipoprotein particle size and high-density lipoprotein, small and medium particle size (HMSP), GlycA, LP-IR, short-chain dicarboxylacylcarnitines (SCDA), and branched-chain amino acid plasma biomarkers were independently associated with CVD events after adjustment for traditionally defined MH in the overall cohort (p = 3.3 × 10-4-3.6 × 10-123), as well as within most of the individual BMI categories (p = 8.1 × 10-3-1.4 × 10-49). LP-IR, GlycA, HMSP, and SCDA improved metrics of model fit analyses beyond that of traditionally defined MH. We found that LP-IR, GlycA, HMSP, and SCDA improve traditionally defined MH models in prediction of adverse CVD events irrespective of BMI.

Mevalonate pathway, selenoproteins, redox balance, immune system, Covid-19: Reasoning about connections

It has been proposed that a degraded immune system is (one of) the condition(s) that predispose certain subjects to fatal consequences from infection by SARS-CoV-2. It is unknown whether therapeutic regimens to which these patients may have been subjected to in the months/years preceding the infection could be immunocompromising. Statins are among the most widely prescribed cholesterol-lowering drugs. As competitive inhibitors of HMG-CoA-reductase, the key enzyme of the "mevalonate pathway" through which essential compounds, not only cholesterol, are synthesized, statins decrease the levels of cholesterol, and thus LDLs, as an innate defense mechanism, with controversial results in decreasing mortality from cardiovascular disease. Moreover, statins have pleiotropic, mostly deleterious effects on many cell types, including immune cells. In the attempt to decipher the enigma of SARS-CoV-2 infectivology, the hypothesis should be tested whether the population of subjects who succumbed to Covid-19 may have developed a compromised immunity at sub-clinical levels and have become more susceptible to fatal consequences from SARS-Cov-2 infection due to statin therapy.

The other side of the medallion in heart failure: Reverse metabolic syndrome

BACKGROUND AND AIMS

Lower levels of cardiovascular risk factors are associated with an increase in mortality in H.F. To explain this paradox, the term reverse metabolic syndrome (RMetS) has recently been proposed. We suggest defining these patients with lower levels of three risk factors can be combined under the heading "RMetS." We aimed to investigate the effect of MetS and RMetS on hemodynamic parameters and prognosis in patients with H.F. and reduced ejection fraction (HFrEF).

METHODS AND RESULTS

We included 304 patients who were performed right heart catheterization and followed up for a median of 16 (0-48) months. We first grouped patients according to the presence of MetS or not, then we added the RMetS category and stratified patients into three groups as MetS, RMetS, and metabolic healthy. Compared with not MetS group, Pulmonary arterial pressures and VO₂ were higher in MetS group. In the second step, LVEF, CI, VO₂I, O₂ delivery, and LVSWI were lowest in RMetS, pulmonary artery pressures were higher in MetS group. In multivariate Cox regression analysis, being in RMetS group was associated with 2.4 times and 1.8 times increased risk for composite end point (CEP) and all-cause mortality, respectively. In Kaplan Meier analysis, RMetS had the highest all-cause mortality and CEP.

CONCLUSIONS

We determined that RMetS patients had the worst prognosis with unfavorable hemodynamic profile. Hence, a better understanding of the pathophysiology of RMetS may help refine the treatment targets of CV risk factors, may yield new interventions targeting catabolic syndrome.

Nomogram based on blood lipoprotein for estimation of mortality in patients with hepatitis B virus-related acute-on-chronic liver failure

BACKGROUND

Acute-on-chronic liver failure (ACLF) is a clinic syndrome with substantial high short-term mortality. It is very important to stratify patients according to prognosis to decide management strategy. This study aimed to formulate and validate a nomogram model based on blood lipoprotein for prediction of 3-month mortality in patients with hepatitis B virus (HBV)-related ACLF.

METHODS

Data on 393 consecutive patients who were diagnosed as HBV-related ACLF at the Third Affiliated Hospital of Sun Yat-sen University between June 1, 2013, and February 1, 2015, were prospectively collected. Of these, 260 patients who were collected in an earlier period formed the training cohort for the development of nomogram, while 133 patients who were collected thereafter formed the validation cohort for confirming the performance of nomogram.

RESULTS

Multivariate analysis showed that low density lipoprotein cholesterol (LDL-C), age, prothrombin time, and creatinine were independently associated with 3-month mortality of patients with HBV-related ACLF. Kaplan-Meier survival analysis revealed that the high LDL-C (LDL-C ≥ 1.0 mmol/L, cut-off value) was significantly associated with elevated overall survival (P < 0.001). All independent factors for survival were selected into the nomogram. The calibration plot for the probability of survival showed good agreement between prediction by nomogram and actual observation.

CONCLUSION

This study highlighted that reduction of serum LDL-C level was an independent risk factor for the survival in patients with HBV-related ACLF, and the nomogram based on serum LDL-C was an accurate and practical model for predicting the 3-month mortality in patients with this disease.

Allostatic Load Indices With Cholesterol and Triglycerides Predict Disease and Mortality Risk in Zoo-Housed Western Lowland Gorillas (Gorilla gorilla gorilla)

Allostatic load, or the physiological dysregulation accumulated due to senescence and stress, is an established predictor of human morbidity and mortality and has been proposed as a tool for monitoring health and welfare in captive wildlife. It is estimated by combining biomarkers from multiple somatic systems into allostatic load indices (ALIs), providing a score representing overall physiological dysregulation. Such ALIs have been shown to predict disease and mortality risk in western lowland gorillas. In these prior analyses, we were unable to include lipid markers, a potential limitation as they are key biomarkers in human models. Recently, we were able to assay serum cholesterol and triglycerides and add them to our previous ALI. We then re-examined associations with health outcomes using binomial generalized linear models. We constructed ALIs using 2 pooling strategies and 2 methods. By itself, a 1-unit increase in allostatic load was associated with higher odds of all-cause morbidity and mortality, but results were mixed for cardiac disease. However, the best fit models for all-cause morbidity and cardiac disease included only age and sex. Allostatic load was retained alongside age in the best fit models for mortality, with a 1-unit increase associated with 23% to 45% higher odds of death. Compared with previous results, ALIs containing cholesterol and triglycerides better predict disease risk in zoo-housed western lowland gorillas, as evidenced by larger effect sizes for some models and better goodness of fit for all ALIs. Based on these results, we address methodology for future allostatic load research on wildlife.

Epidemiology of Heart Disease of Uncertain Etiology: A Population Study and Review of the Problem

Background and objectives: Previous epidemiological studies have identified a group of heart diseases (here called heart diseases of uncertain etiology-HDUE) whose characteristics were rather different from cases classified as coronary heart disease (CHD), but frequently confused with them. This analysis had the purpose of adding further evidence on this issue based on a large population study. Materials and Methods: Forty-five Italian population samples for a total of 25,272 men and 21,895 women, free from cardiovascular diseases, were examined with measurement of some risk factors. During follow-up, CHD deaths were those manifested as myocardial infarction, other acute ischemic attacks, and sudden death of probable coronary origin, after reasonable exclusion of other causes. Cases of HDUE were those manifested only as heart failure, chronic arrhythmia, and blocks in the absence of typical coronary syndromes. Cox proportional hazards models were computed separately for CHD and HDUE, with 11 risk factors as possible predictors. Results: During an average of 7.4 years (extremes 1-16) there were 223 CHD and 150 HDUE fatal events. Male sex, age, smoking habits, systolic blood pressure, serum cholesterol, and plasma glucose were significantly and directly related to CHD events, while high density lipoprotein (HDL) cholesterol was so in an inverse way. The same risk factors were predictive of HDUE events except serum cholesterol and HDL cholesterol. Multivariable hazards ratio of serum cholesterol (delta = 1 mmol/L) was higher in the CHD model (1.24, 95% CI 1.11-1.39) than in the HDUE model (1.03, 0.5% C.I. 0.89-1.19) and the difference between the respective coefficients was statistically significant (p = 0.0444). Age at death was not different between the two end-points. Conclusions: CHD and HDUE are probably two different morbid conditions, only the first one is likely bound to gross atherosclerotic lesions of coronary arteries and linked to blood lipid levels. We reviewed the problem in epidemiological investigations and addressed inflammation as a potential cofactor to differentiate between CHD and HDUE.

The cholesterol paradox may be attenuated in heart failure patients with diabetes

BACKGROUND

In heart failure (HF) patients, a lower total cholesterol (TC) appears to portend an ominous prognosis. We studied if the prognostic impact of TC was different according to diabetes mellitus (DM) status in a chronic HF population.

METHODS

Patients with systolic HF under optimized and stable evidence-based therapy were prospectively recruited from our HF clinic. We excluded patients on renal replacement therapy and those hospitalized in the previous 2 months. A venous blood sample was collected. Patients were followed for up to 5 years and all-cause mortality was the endpoint under analysis. The prognostic impact of TC was analyzed using a Cox-regression analysis. Analysis was stratified according to coexistence of DM.

RESULTS

We studied 262 chronic HF patients, 182 males, mean age 69 years, 98 (37.4%) diabetic and 62.2% with severe left ventricular systolic dysfunction. Median B-type natriuretic peptide: 237.8 pg/mL; median TC: 169 mg/dL. During follow-up 121 (46.2%) patients died. Patients with TC>200 mg/dL had better survival than those with lower TC; however, this protective effect was mostly observed in non-diabetic HF patients. In non-diabetics the multivariate adjusted 5-year mortality hazard ratio (HR) was 0.36 (95% CI: 0.16-0.79) for those with TC>200 mg/dL. In diabetic HF patients, there was a non-significant survival benefit of TC>200 mg/dL; HR 0.51 (95% CI: 0.20-1.30).

CONCLUSIONS

Non-diabetic chronic HF patients with TC>200 mg/dL have a 64% lower risk of 5-year death. In diabetics, there is a non-significant 49% protective effect of elevated TC. The cholesterol paradox may be attenuated in diabetic HF patients.

Impact of Obesity on Ventricular Assist Device Outcomes

BACKGROUND

Obesity remains a relative contraindication for heart transplantation, and hence, obese patients with advanced heart failure receive ventricular assist devices (VADs) either as a destination or "bridge to weight loss" strategy. However, impact of obesity on clinical outcomes after VAD implantation is largely unknown. We sought to determine the clinical outcomes of obese patients with body mass index (BMI) ≥ 35 kg/m²) following contemporary VAD implantation.

METHODS

The Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) registry was queried for patients who underwent VAD implantation. Patients were categorized into BMI groups based on World Health Organization classification.

RESULTS

Of 17,095 patients, 2620 (15%) had a BMI ≥ 35 kg/m². Obese patients were likely to be young, non-white, females with dilated cardiomyopathy and undergo device implantation as destination. Survival was similar amongst BMI groups (P = .058). Obese patients had significantly higher risk for infection (hazard ratio [HR]: 1.215; P = .001), device malfunction or thrombosis (HR: 1.323; P ≤ .001), cardiac arrhythmia (HR: 1.188; P = .001) and hospital readmissions (HR: 1.073; P = .022), but lower risk of bleeding (HR: 0.906; P = .018). Significant weight loss (≥10%) during VAD support was achieved only by a small proportion (18.6%) of patients with BMI ≥ 35 kg/m². Significant weight loss rates observed in obese patients with VAD implantation as destination and bridge to transplant strategy were comparable. Obese patients with significant weight loss were more likely to undergo cardiac transplantation. Weight loss worsened bleeding risk without altering risk for infection, cardiac arrhythmia, and device complications.

CONCLUSIONS

Obesity alone should not be considered a contraindication for VAD therapy in contemporary era. Given durability of heart transplantation, strategies should be developed to promote weight loss, which occurs infrequently in obese patients. Impact of weight loss on clinical outcome of obese patients warrants further investigation.

Malnutrition diagnosed by controlling nutrition status is a negative predictor of life prognosis in aortic arch aneurysm patients treated with thoracic endovascular aneurysm repair

Objectives

Controlling Nutritional Status (CONUT) is a useful screening tool for malnutrition in patients with various diseases; however, how CONUT-diagnosed malnutrition affects patients with aortic arch aneurysm is unknown. This study aimed to reveal the utility of CONUT for detecting the patients with high-risk aortic arch aneurysm with malnutrition.

Methods

Sixty patients treated for aortic arch aneurysms with elective thoracic endovascular aneurysm repair from 2009 to 2015 were retrospectively analyzed at a single institution. Preoperative nutrition status was evaluated by CONUT, and a CONUT score ≥ 3 was defined as malnutrition. The influence of malnutrition on the patients’ overall survival, aneurysm-related death-free rates, and prevalence of re-interventions were also analyzed.

Results

Twenty-three patients were diagnosed with malnutrition. Overall survival was significantly lower in the malnutrition group ( P = 0.0036). The multivariate Cox proportional hazard analysis revealed that age ( P  < 0.0001) and malnutrition ( P  = 0.0457) were negative predictors of overall survival. Conversely, the two groups did not differ significantly in aneurysm-related death-free rates ( P  = 0.7879) and the prevalence of re-interventions ( P  = 0.7879).

Conclusions

Malnutrition diagnosed by CONUT as well as age is a negative predictor of survival prognosis in patients with aortic arch aneurysm.