Lipid paradox in patients with acute myocardial infarction: Potential impact of malnutrition

Lipids in Clinical Nutrition and Health: Narrative Review and Dietary Recommendations

Lipids are essential components of human health, serving as critical structural elements of cell membranes, energy sources, and precursors for bioactive molecules. This narrative review aims to examine the multifaceted roles of lipids in clinical nutrition and health, focusing on their impact on chronic disease prevention, management, and the potential of lipid-based therapies. A narrative review was conducted utilizing Scopus, Google Scholar, and Web of Science databases. Key terms such as lipids, dietary fats, and cholesterol were used to identify and analyze relevant studies. A total of 145 articles meeting inclusion criteria were reviewed for their insights into lipid metabolism, dietary sources, and clinical implications. The analysis highlighted the metabolic significance of various lipid classes-saturated, monounsaturated, and polyunsaturated fatty acids-along with evidence-based recommendations for their dietary intake. Lipids were shown to play a pivotal role in managing chronic diseases such as cardiovascular disease, obesity, and metabolic syndrome. Emerging therapies, including omega-3 fatty acids and medium-chain triglycerides, demonstrated potential benefits in clinical practice. By synthesizing current knowledge, this narrative review provides healthcare professionals with an updated understanding of the roles of lipids in clinical nutrition. The findings emphasize the importance of tailored dietary interventions and lipid-based therapies in optimizing health and managing chronic diseases effectively. Additionally, this review successfully presents practical dietary recommendations to guide clinical practice.

Impact of co-presence of malnutrition-inflammation-atherosclerosis factors on prognosis in lower extremity artery disease patients after endovascular therapy

Malnutrition and inflammation are common problems of adverse outcomes in various diseases as atherosclerosis. Recently, the concept of malnutrition-inflammation-atherosclerosis (MIA) syndrome is known to a crucial prognostic factor in patients with end-stage renal disease. We investigated the prognostic impact of the co-presence of MIA factors in patients with lower-extremity artery disease (LEAD) after endovascular therapy (EVT). This retrospective study included 284 patients with LEAD who underwent EVT. MIA factors were defined in patients with: low geriatric nutritional risk index (< 92) as "malnourished"; greater high-sensitivity C-reactive protein levels (≥ 0.1 mg/dL) as "inflamed"; a history of coronary artery revascularization, lacunar or atherothrombotic brain infarction as "atherosclerotic". We examined the relationship between baseline characteristics and major adverse cardiovascular and cerebrovascular events (MACCE) including all-cause mortality. Sixty-two patients (22%) died and 72 patients (25%) had MACCE, including all-cause death. Forty-four (16%) patients had every 3 of MIA (3-MIA) factors. The mean follow-up period was 737 days. Multivariate Cox proportional hazards regression analysis models revealed that 3-MIA factors correlated significantly with all-cause death [hazard ratio (HR) 3.46, 95% confidence interval (CI) 1.89-6.34; p < 0.001] and MACCE (HR 2.91, 95% CI 1.62-5.22; p < 0.001), after adjusting for relevant factors. Kaplan-Meier analysis revealed that the rates of all-cause death (p < 0.001) and MACCE (p < 0.001) were significantly higher when the MIA factors overlapped and are observed in patients with chronic limb-threatening ischemia. Among patients with LEAD after EVT, the co-presence of MIA factors was an independent risk factor for all-cause death and MACCE.

The potential impact of inflammation on the lipid paradox in patients with acute myocardial infarction: a multicenter study

BACKGROUND

Low-density lipoprotein cholesterol (LDL-C) is a well-recognized risk factor for cardiovascular diseases. However, several clinical studies demonstrated an inverse association between LDL-C and mortality risk in patients with acute myocardial infarction (AMI), known as the lipid paradox. This study aims to investigate the potential impact of inflammation on the association between LDL-C levels and mortality risks.

METHODS

A total of 5244 patients with AMI from a large nationwide prospective cohort were included in our analysis. Patients were stratified according to LDL-C quartiles. The primary outcome was all-cause mortality, and the secondary endpoint was cardiac mortality. High-sensitive C-reactive protein (hsCRP) > 3 mg/L was defined as high inflammatory risk.

RESULTS

During a median follow-up of 2.07 years, 297 mortality events (5.5%) and 227 cardiac mortality events (4.2%) occurred. Patients in the lowest LDL-C quartile had the highest incidence of all-cause mortality (7.3%) and cardiac mortality (5.8%). A U-shaped association between LDL-C levels and mortality risk was observed after multivariable adjustment, which persisted only in patients with high hsCRP levels. In contrast, a linear association between LDL-C and mortality risk was shown in patients with low hsCRP levels.

CONCLUSIONS

AMI patients with lower LDL-C levels had a higher risk of mortality. However, this association was only observed in those with high inflammatory risk. In contrast, the relationship between LDL-C and mortality risk was linear in patients with low inflammatory risk. This suggests the importance of considering inflammation when managing LDL-C levels in AMI patients.

Natriuretic peptides and C-reactive protein in in heart failure and malnutrition: a systematic review and meta-analysis

BACKGROUND

Heart failure (HF) and malnutrition exhibit overlapping risk factors, characterized by increased levels of natriuretic peptides and an inflammatory profile. The aim of this study was to compare the differences in plasma brain natriuretic peptide (BNP), N-terminal-pro B-type natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) in patients with HF and malnutrition versus normal nutrition.

METHODS

From inception until July 2023, the databases, PubMed, Scopus, Web of Science, and Cochrane Library were searched. To examine the association among malnutrition [controlling nutritional status (CONUT) score ≥2; Geriatric Nutritional Risk Index (GNRI) score <92] with BNP, NT-proBNP and CRP in patients with HF, a meta-analysis using a random-effects model was conducted (CRD42023445076).

RESULTS

A significant association of GNRI with increased levels of BNP were demonstrated [mean difference (MD): 204.99, 95% confidence interval (CI) (101.02, 308.96, I2 = 88%, P < 0.01)], albeit no statistically significant findings were shown using CONUT [MD: 158.51, 95% CI (-1.78 to 318.79, I2 = 92%, P = 0.05)]. GNRI [MD: 1885.14, 95% CI (1428.76-2341.52, I2 = 0%, P < 0.01)] and CONUT [MD: 1160.05, 95% CI (701.04-1619.07, I2 = 0%, P < 0.01)] were associated with significantly higher levels of NT-proBNP. Patients with normal GNRI scores had significantly lower levels of CRP [MD: 0.50, 95% CI (0.12-0.88, I2 = 87%, P = 0.01)] whereas significantly higher levels of CRP were observed in those with higher CONUT [MD: 0.40, 95% CI (0.08-0.72, I2 = 88%, P = 0.01)]. Employing meta-regression, age was deemed a potential moderator between CRP and GNRI.

CONCLUSIONS

Normal nutrition scores in patients with HF are linked to lower BNP, NT-proBNP, and CRP levels compared with malnourished counterparts. Despite the significant link between CRP and malnutrition, their relationship may be influenced in older groups considering the sensitivity of GNRI due to ageing factors.

Prognostic impact of malnutrition in patients with coronary artery disease: a systematic review and meta-analysis

CONTEXT

Conflicting predictions of malnutrition for the long-term prognosis of coronary artery disease (CAD) exist.

OBJECTIVE

This study aimed to investigate the relationship between malnutrition and long-term prognosis of patients with CAD.

DATA SOURCES

Four databases were searched for articles from February 11, 1936, to September 10, 2022.

DATA EXTRACTION

Cohort studies adjusting for multiple cardiovascular risk factors with data on CAD and malnutrition were included. Malnutrition was measured and defined by different nutritional evaluation tools. The hazard ratios (HRs) and confidence intervals (CIs) for all-cause mortality and major adverse cardiovascular events (MACEs) were synthesized. Subgroup analyses were performed based on study design, assessment tools, ethnicity/race, follow-up, sample size, and types of CAD. Meta-regression was used to compare whether the effect sizes of the 2 subgroups were statistically significant.

DATA ANALYSIS

A total of 30 cohort studies were included, totaling 81 361 participants with CAD. Nutritional evaluation tools, including the Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), Nutritional Risk Screening 2002, Mini-Nutritional Assessment, and Prognostic Nutritional Index, were used. Malnutrition increased all-cause mortality (HR = 1.72; 95% CI: 1.53, 1.93) and MACEs (HR = 1.47; 95% CI: 1.35, 1.60) in patients with CAD. Subgroup analysis revealed the results were consistent across study design, ethnicity/race, follow-up, sample size, and types of CAD. Subgroup analyses and meta-regression revealed that malnutrition was associated with a higher risk of all-cause mortality (HR = 2.26; 95% CI: 1.91, 2.68) and MACEs (HR = 2.28; 95% CI: 1.69, 3.08) in patients with stable CAD than those with other types of CAD. Meta-regression revealed that the GNRI (HR = 2.20; 95% CI: 1.65, 2.93) was more effective than CONUT (HR = 1.47; 95% CI: 1.21, 1.78) in predicting all-cause mortality.

CONCLUSION

Malnutrition independently increased all-cause mortality by 72% and MACEs by 47% in patients with CAD, especially with stable CAD. The GNRI is a more effective nutritional evaluation tool than CONUT in predicting all-cause mortality.

Controlling nutritional status score in the prediction of cardiovascular disease prevalence, all-cause and cardiovascular mortality in chronic obstructive pulmonary disease population: NHANES 1999-2018

BACKGROUND

Malnutrition is prevalent in chronic obstructive pulmonary disease (COPD) and associated with adverse outcomes, while COPD is intricately linked to cardiovascular disease (CVD), sharing common risk factors. The controlling nutritional status (CONUT) score, a promising tool for assessing malnutrition, warrants investigation into its predictive ability for cardiovascular disease prevalence and mortality in COPD patients.

METHODS

Based on the National Health and Nutrition Examination Survey (NHANES), this study analyzed 1501 adult COPD patients from 1999 to 2018. The endpoints were CVD prevalence, mortality related to CVD, and overall mortality. We evaluated the correlation of the CONUT score with each outcome using logistic regression and Cox regression models. The prognostic evaluation of patients was conducted using Kaplan-Meier curves in accordance with the CONUT score. We formed the receiver operating characteristic (ROC) curves for evaluating the CONUT score's discriminative capability.

RESULTS

The prevalence of malnutrition was 21.31% in COPD populations. Logistic analyses suggested a distinct connection between the CONUT score and CVD prevalence (OR:1.86, 95%CI:1.28-2.70) in individuals with COPD. The CONUT score demonstrated a significant correlation with a heightened risk of CVD mortality (HR: 1.86, 95%CI: 1.27-2.74) and overall mortality (HR: 1.50, 95%CI: 1.18-1.91). The prognostic outcomes might be effectively discriminated by the CONUT score, as seen by the Kaplan-Meier curves.

CONCLUSIONS

In summary, the CONUT score provides an uncomplicated and readily attainable marker for forecasting CVD prevalence, total mortality, and mortality from CVD among COPD patients.

Inaccurately Reported Statin Use Affects the Assessing of Lipid Profile Measures and Their Association with Coronary Artery Disease Risk

BACKGROUND

Lipid profiling is central for coronary artery disease (CAD) risk assessment. Nonadherence or unreported use of lipid-lowering drugs, particularly statins, can significantly complicate the association between lipid profile measures and CAD clinical outcomes. By combining medication history evaluation with statin analysis in plasma, we determined the effects of inaccurately reported statin use on lipid profile measures and their association with CAD risk.

METHODS

We compared medication history of statin use with statin concentration measurements, by liquid chromatography-tandem mass spectrometry, in 690 participants undergoing coronary angiography (63 ± 11 years of age). Nominal logistic regression was employed to model CAD diagnosis with statin measurements, phenotypic, and lipid profile characteristics.

RESULTS

Medication history of statin use was confirmed by statin assay for 81% of the patients. Surprisingly, statins were detected in 46% of patients without statin use records. Nonreported statin use was disproportionately higher among older participants. Stratifying samples by statin history resulted in underestimated LDL-lipid measures. Apolipoprotein B concentrations had a significant inverse CAD association, which became nonsignificant upon re-stratification using the statin assay data.

CONCLUSIONS

Our study uncovered prominent discrepancies between medication records and actual statin use measured by mass spectrometry. We showed that inaccurate statin use assessments may lead to overestimation and underestimation of LDL levels in statin user and nonuser categories, exaggerating the reverse epidemiology association between LDL levels and CAD diagnosis. Combining medication history and quantitative statin assay data can significantly improve the design, analysis, and interpretation of clinical and epidemiological studies.

Association of prognostic nutritional index with long-term mortality in patients receiving percutaneous coronary intervention for acute coronary syndrome: a meta-analysis

The predictive value of the prognostic nutritional index (PNI) for the long-term prognosis of patients with acute coronary syndrome (ACS) remains uncertain. Medline, Embase, Cochrane Library, and Google Scholar were searched from inception until January 2023 to study the relationship between all-cause mortality risk and PNI in patients receiving percutaneous coronary intervention for ACS (i.e., primary outcome). Thirteen observational studies were included in this meta-analysis. Analysis of seven studies using PNI as a categorical variable showed a pooled hazard ratio (HR) of all-cause mortality of 2.97 (95% CI 1.65 to 5.34, p = 0.0003, I2 = 89%, n = 11,245) for patients with a low PNI. The meta-analysis also showed a higher risk of major adverse cardiovascular events (MACEs) in patients with a low PNI (HR 2.04; 95% CI 1.59 to 2.61; p < 0.00001; I2 = 21%; n = 8534). Moreover, advanced age, diabetes mellitus, and high Global Registry of Acute Coronary Events risk scores were associated with a high risk of all-cause mortality, whereas a high body mass index was associated with a low risk of all-cause mortality. The results showed an association between a low PNI and an increased risk of long-term mortality in patients undergoing coronary interventions for ACS. Further randomized controlled trials are necessary to confirm these findings.

Clinical features and predictors of non-cardiac death in patients hospitalised for acute myocardial infarction: Insights from the Tokyo CCU network multicentre registry

BACKGROUND

Patients with acute myocardial infarction (AMI) commonly have multiple comorbidities, and some die in hospitals due to causes other than cardiac complications. However, limited information is available on noncardiac death in patients hospitalised for AMI. Therefore, the present study was performed to determine the incidence, annual trend, clinical characteristics, and predictors of in-hospital non-cardiac death in patients with AMI using the Tokyo Cardiovascular Care Unit (CCU) network registry.

METHODS

The registry included 38,589 consecutive patients with AMI who were admitted to the CCU between 2010 and 2019. The primary endpoint was in-hospital noncardiac death. Further, predictors of cardiac and non-cardiac death were identified.

RESULTS

The incidence of all-cause in-hospital mortality was 7.0% (n = 2700), and the proportion of mortality was 15.6% (n = 420) and 84.4% (n = 2280) for noncardiac and cardiac causes, respectively. The proportion of noncardiac deaths did not change annually over the last decade (p = 0.66). After adjusting for all variables, age, Killip classification grade, peak creatine kinase, hemoglobin, serum creatinine, and C-reactive protein were common predictors of cardiac and non-cardiac deaths. Indicators of malnutrition, such as lower body mass index (kg/m²) [odds 0.94, 95%CI (0.90-0.97), p < 0.001] and serum low-density lipoprotein cholesterol level (per 10 mg/dl) [odds 0.92, 95%CI (0.89-0.96), p < 0.001] were the specific predictors for non-cardiac deaths.

CONCLUSIONS

The incidence of in-hospital noncardiac death was significant in patients with AMI, accounting for 15.6% of all in-hospital mortalities. Thus, prevention and management of non-cardiac complications are vital to improve acute-phase outcomes, especially those with predictors of non-cardiac death.

Altered cardiovascular risk pattern of LDL cholesterol in older adults

PURPOSE OF REVIEW

Elevated serum low-density lipoprotein cholesterol (LDL-C) levels at middle-age constitute a strong risk factor for later cardiovascular events. In older populations, however, LDL-C levels are no longer predictive of cardiovascular mortality or may even seem protective. Whether the altered risk pattern of LDL-C in old age reflects a causal mechanism or is due to confounding and bias is subject to debate. In this review, we briefly discuss the possible explanations for the altered risk pattern of LDL-C observed in old age.

RECENT FINDINGS

Using examples from the recent literature we illustrate how LDL-C levels 'lose' their predictive value as a cardiovascular risk factor in old age. We review three potential explanations for the changed cardiovascular risk pattern of LDL-C in older populations: survivorship bias, reverse causation, and effect modification.

SUMMARY

The absent or protective effect of LDL-C on cardiovascular mortality in older populations found in observational studies might be explained by survivorship bias, reverse causation, and effect modification. However, this does not necessarily preclude the possibility that (specific) cholesterol-lowering treatment could decrease the risk of morbidity and mortality. Placebo-controlled trials may importantly add to our understanding of who may benefit from lipid-lowering therapy or statins at an older age.

The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study

Background

The optimal levels of low-density lipoprotein cholesterol (LDL-C) in patients with type 2 diabetes (T2D) are not currently clear. In this study, we determined the relationship between various mean LDL-C and all-cause or cardiovascular mortality risks in patients with T2D, stratifying by albumin level, age, sex, and antilipid medication use. We also evaluated the association of LDL-C standard deviation (LDL-C-SD) and all-cause and cardiovascular mortality by type of antilipid medication use.

Methods

A total of 46,675 T2D patients with a prescription for antidiabetic agents >6 months from outpatient visits (2003-2018) were linked to Taiwan's National Death Registry to identify all-cause and cardiovascular mortality. The Poisson assumption was used to estimate mortality rates, and the Cox proportional hazard regression model was used to assess the relative hazards of respective mortality in relation to mean LDL-C in patient cohorts by albumin level, age, sex, and antilipid use adjusting for medications, comorbidities, and laboratory results. We also determined the overall, and anti-lipid-specific mortality rates and relative hazards of all-cause and cardiovascular mortality associated with LDL-C-SD using the Poisson assumption and Cox proportional hazard regression model, respectively.

Results

All-cause and cardiovascular mortality rates were the lowest in T2D patients with a mean LDL-C > 90-103.59 mg/dL in the normal albumin group (≥ 3.5 g/dL). Compared to T2D patients with a mean LDL-C > 90-103.59 mg/dL, those with a mean LDL-C ≤ 77 mg/dL had an elevated risk of all-cause mortality in both the normal and lower albumin groups. T2D patients with a mean LDL-C ≤ 90 and > 103.59-119 mg/dL had relatively higher risk of cardiovascular mortality in the normal albumin group, but in the lower albumin group (<3.5 g/dL), any level of mean LDL-C ≤ 119 mg/dL was not significantly associated with cardiovascular mortality. Increased risks of all-cause and cardiovascular mortality were observed in patients with a mean LDL-C ≤ 77 mg/dL in both sexes and in all age groups except in those aged <50 years, a lower mean LDL-C was not associated with cardiovascular mortality. Similarly, patients with an LDL-C-SD <10^th and > 90^th percentiles were associated with significant risks of all-cause and cardiovascular mortality. In statin users, but not fibrate users, lower and higher levels of mean LDL-C and LDL-C-SD were both associated with elevated risks of all-cause and cardiovascular mortality.

Conclusions

The optimal level of LDL-C was found to be >90-103.59 mg/dL in T2D patients. Lower and higher levels of mean LDL-C and LDL-C-SD were associated with all-cause and cardiovascular mortality, revealing U-shaped associations. Further studies are necessary to validate the relationship between optimal LDL-C levels and all-cause and cardiovascular mortality in patients with diabetes.

Clinical Outcomes Based on the Attainment of Low-Density Lipoprotein Cholesterol Targets in Patients with Acute Coronary Syndrome in Real-World Practice

Objective

A target of low-density lipoprotein cholesterol (LDL-C) <70 mg/dL or ≥50% reduction should be set. This study aimed to explore the information required to attain the optimal goal of lipid control for patients with ACS in real-world practice using big database analysis.

Methods

Patients with ACS were enrolled between January 2005 and December 2019, and their medical history was obtained from the Chang Gung Research database. According to the attainment of LDL-C levels, the study population was divided into groups with and without ≥50% reduced LDL-C levels. In the group that achieved ≥50% reduced LDL-C levels, the study population was subdivided into groups with and without achievement of LDL-C level < 70 mg/dL.

Results

This study enrolled 14,520 participants, out of whom only 3,367 patients (23.2%) achieved ≥50% reduced LDL-C levels. At the 3-year follow-up periods, higher incidences of cardiovascular (CV) mortality and all-cause mortality were absorbed in patients without ≥50% reduced LDL-C levels, especially in subgroups of hypertension and diabetes mellitus (DM). When comparing different percentages of reduced LDL-C levels, the significantly lowest hazard ratio (HR) of CV and all-cause mortality was noted at ≥50% reduced LDL-C levels (CV mortality; HR: 0.64; all-cause mortality; HR: 0.57).

Conclusion

In the ACS population, better clinical outcomes were yielded in patients with ≥50% reduced LDL-C levels, especially in the hypertension and DM populations. However, strict lipid control did not show better clinical outcomes in patients with ≥50% reduction and <70 mg/dL in LDL-C levels.

Low-density lipoprotein cholesterol in oldest old with acute myocardial infarction: Is lower the better?

BACKGROUND

the relationship between low-density lipoprotein cholesterol (LDL-C) and adverse outcomes among the older people remains controversial.

OBJECTIVE

to further clarify the association between admission LDL-C levels and cardiovascular mortality (CVM) among oldest old individuals (≥80 years) with acute myocardial infarction (AMI).

DESIGN

a prospective cohort study.

SETTING

two-centre.

SUBJECTS

a consecutive sample of 1,224 oldest old individuals with AMI admitted to Beijing FuWai and Shenzhen FuWai hospitals.

METHODS

all individuals were subdivided according to baseline LDL-C levels (<1.8, 1.8-2.6 and ≥ 2.6 mmol/l) and further stratified by high-sensitivity C-reactive protein (hsCRP) concentrations (<10 and ≥10 mg/l). The primary outcome was CVM. The time from admission to the occurrence of CVM or the last follow-up was analysed in Kaplan-Meier and Cox analyses.

RESULTS

the median age of the overall population was 82 years. During an average of 24.5 months' follow-up, 299 cardiovascular deaths occurred. Kaplan-Meier analysis showed that LDL-C < 1.8 mmol/l group had the highest CVM among oldest old individuals with AMI. Multivariate Cox regression analysis further revealed that compared with those with LDL-C levels <1.8 mmol/l, subjects with LDL-C levels ≥2.6 mmol/l (hazard ratio: 0.67, 95% confidence interval: 0.46-0.98) had significantly lower risk of CVM, especially in those with high hsCRP levels. Moreover, when categorising according to LDL-C and hsCRP together, data showed that individuals with low LDL-C and high hsCRP levels had the highest CVM.

CONCLUSIONS

LDL-C < 1.8 mmol/l was associated with a high CVM after AMI in oldest old individuals, especially when combined with high hsCRP levels, which may need to be confirmed by randomised controlled trials.

Paradox of trimethylamine-N-oxide, the impact of malnutrition on microbiota-derived metabolites and septic patients

Background

Trimethylamine N-oxide (TMAO) is a microbiota-derived metabolite, which is linked to vascular inflammation and atherosclerosis in cardiovascular (CV) diseases. But its effect in infectious diseases remains unclear. We conducted a single-center prospective study to investigate association of TMAO with in-hospital mortality in septic patients admitted to an intensive care unit (ICU).

Methods

Totally 95 septic, mechanically ventilated patients were enrolled. Blood samples were obtained within 24 h after ICU admission, and plasma TMAO concentrations were determined. Septic patients were grouped into tertiles according to TMAO concentration. The primary outcome was in-hospital death, which further classified as CV and non-CV death. Besides, we also compared the TMAO concentrations of septic patients with 129 non-septic patients who were admitted for elective coronary angiography (CAG).

Results

Septic patients had significantly lower plasma TMAO levels than did subjects admitted for CAG (1.0 vs. 3.0 μmol/L, p < 0.001). Septic patients in the lowest TMAO tertile (< 0.4 μmol/L) had poorer nutrition status and were given longer antibiotic courses before ICU admission. Circulating TMAO levels correlated positively with daily energy intake, the albumin and prealbumin concentration. Compared with those in the highest TMAO tertile, septic patients in the lowest TMAO tertile were at greater risk of non-CV death (hazard ratio 2.51, 95% confidence interval 1.21–5.24, p = 0.014). However, TMAO concentration was no longer an independent predictor for non-CV death after adjustment for disease severity and nutritional status.

Conclusion

Plasma TMAO concentration was inversely associated with non-CV death among extremely ill septic patients, which could be characterized as TMAO paradox. For septic patients, the impact of malnutrition reflected by circulating TMAO levels was greater than its pro-inflammatory nature.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-021-00581-5.

Prognostic impact of malnutrition in elderly patients with acute myocardial infarction

We aimed to investigate the prevalence and the prognostic impact of malnutrition using the geriatric nutritional risk index (GNRI) in elderly patients with acute myocardial infarction (AMI). We investigated 130 consecutive patients aged ≥ 75 years who were discharged following successful primary coronary intervention between March 2009 and December 2016. The mean age of the patients was 81.5 ± 5.0 years, and 55.4% of them were male. At discharge, the patients' nutritional statuses were evaluated using the GNRI, which were calculated as follows: 14.89 × serum albumin (g/dL) + 41.7 × body mass index/22. The patients were divided into two groups, a low GNRI group (GNRI < 92) with nutrition-related risk and a high GNRI group (GNRI ≥ 92) without nutrition-related risk. The mean GNRI score of all patients was 95.2 ± 11.0, and 46 patients (35.4%) had a low GNRI score. During the mean follow-up of 1030 ± 850 days, the all-cause mortality was significantly higher in the low GNRI group than in the high GNRI group (32.6% vs. 13.1%, p < 0.001), while the event rates of AMI recurrence and hospitalization due to heart failure did not differ significantly between the two groups. Multivariate Cox proportional analysis revealed that low GNRI was a modest but independent predictor of mortality (hazard ratio, 0.94; 95% confidence interval 0.90-0.98; p = 0.01). Among elderly patients with AMI, malnutrition assessed using the GNRI was often encountered and was an independent predictor of long-term mortality.

Revisiting the lipid paradox in ST-elevation myocardial infarction in the Chinese population: findings from the CCC-ACS project

AIMS

Previous observations revealed a negative association between low-density lipoprotein cholesterol (LDL-C) and clinical outcomes following myocardial infarction, i.e., the lower level the higher mortality, which was referred to as lipid paradox. We sought to re-evaluate this association in ST-elevation myocardial infarction (STEMI) in contemporary practice.

METHODS AND RESULTS

We examined the association between admission LDL-C and in-hospital mortality among 44 563 STEMI patients enrolled from 2014 to 2019 in a nationwide registry in China. A total of 43 covariates, which were temporally classified into the following three domains were used for adjustment: (i) pre-admission characteristics; (ii) percutaneous coronary intervention (PCI)-related variables; and (iii) other in-hospital medications. In-hospital mortality was 2.01% (897/44 563). When no covariate adjustment was performed, an inversely 'J-shaped' curve was observed between admission LDL-C levels and in-hospital mortality by restricted cubic spline in logistic regression, with a threshold value of <75 mg/dL that associated with increased risk for in-hospital mortality. However, a gradual attenuation for this association was noted when step-wise adjustments were performed, with the threshold values for LDL-C decreasing from 75 mg/dL to 70 mg/dL after accounting for pre-admission characteristics, further to 65 mg/dL after accounting for PCI-related variables, and finally to no statistical association after further adjustment for other in-hospital medications.

CONCLUSIONS

In a nationwide registry in China, our findings do not support the lipid paradox in terms of in-hospital mortality in STEMI patients in contemporary practice. Previous findings in this scenario are possibly due to inadequate control for confounders.

The Association between Nutritional Status and In-Hospital Mortality among Patients with Heart Failure-A Result of the Retrospective Nutritional Status Heart Study 2 (NSHS2)

BACKGROUND

A nutritional status is related to the prognosis and length of hospitalisation of patients with heart failure (HF). This study aims to assess the effect of nutritional status on in-hospital mortality in patients with heart failure.

METHODS

We conducted a retrospective study and analysis of medical records of 1056 patients admitted to the cardiology department of the University Clinical Hospital in Wroclaw (Poland).

RESULTS

A total of 1056 individuals were included in the analysis. A total of 5.5% of patients died during an in-hospital stay. It was found that in the sample group, 25% of patients who died had a BMI (body mass index) within the normal range, 6% were underweight, 47% were overweight, and 22% were obese. Our results show that non-survivors have a significantly higher nutrition risk screening (NRS) ≥3 (21% vs. 3%; p < 0.001); NYHA (New York Heart Association) grade 4 (70% vs. 24%; p < 0.001). The risk of death was lower in obese patients (HR = 0.51; p = 0.028) and those with LDL (low-density lipoprotein) levels from 116 to <190 mg/dL (HR = 0.10; p = 0.009, compared to those with LDL <55 mg/dL). The risk of death was higher in those with NRS (nutritional risk score) score ≥3 (HR = 2.31; p = 0.014), HFmrEF fraction (HR = 4.69; p < 0.001), and LDL levels > 190 mg/dL (HR = 3.20; p = 0.038).

CONCLUSION

The malnutrition status correlates with an increased risk of death during hospitalisation. Higher TC (total cholesterol) level were related to a lower risk of death, which may indicate the "lipid paradox". Higher BMI results were related to a lower risk of death, which may indicate the "obesity paradox".

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.

Admission Low-Density Lipoprotein Cholesterol Stratified by Circulating CD14++CD16+ Monocytes and Risk for Recurrent Cardiovascular Events Following ST Elevation Myocardial Infarction: Lipid Paradox Revised

Lower level of low-density lipoprotein cholesterol (LDL-C) is paradoxically associated with increased mortality in ST elevation myocardial infarction (STEMI) patients. The underlying mechanism remains unclear. In a cohort of 220 de novo STEMI patients receiving timely primary percutaneous coronary intervention, admission LDL-C was negatively associated with circulating CD14++CD16+ monocyte counts. Moreover, admission LDL-C < 85 mg/dL was associated with increased risk for major adverse cardiovascular events (MACE) during a median follow-up of 2.7 years. After categorizing the patients according to the cutoff values of 85 mg/dL for LDL-C and the median for CD14++CD16+ monocytes, low LDL-C-associated MACE risk was only observed in those with high CD14++CD16+ monocyte counts (low LDL-C/high CD14++CD16+ monocytes vs. low LDL-C/low CD14++CD16+ monocytes: hazard ratio 5.38, 95% confidence interval 1.52 to 19.06, P = 0.009). This work provided the proof-of-principle evidence indicating a role of CD14++CD16+ monocytes in risk stratification of STEMI patients presenting with low LDL-C level. Graphical abstract.

Impact of high triglyceride/high-density lipoprotein cholesterol ratio (insulin resistance) in ST-segment elevation myocardial infarction

The ratio of triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) has been proposed as an easily obtainable atherogenic marker and high TG/HDL-C ratio is associated with insulin resistance. This study investigated the associated between a high TG/HDL-C ratio and cardiovascular mortality in patients with ST-segment elevation myocardial infarction (STEMI), with or without diabetes mellitus (DM).Between January 2005 and December 2014, 1661 patients with STEMI underwent primary percutaneous coronary intervention in our hospital. Of these, 289 were classified into group 1 (with both DM and a high TG/HDL-C ratio), 295 into group 2 (with DM, but without a high TG/HDL-C ratio), 501 into group 3 (without DM, but a high TG/HDL-C ratio), and 576 into group 4 (without DM or a high TG/HDL-C ratio).Older age, longer chest pain to reperfusion time, poor hemodynamic condition, and higher prevalence of multiple vessel coronary artery disease were noted in those with DM. Poor outcomes including higher 30-day and 1-year cardiovascular mortality and all-cause mortality rates were noted in those with DM but without a high TG/HDL-C ratio. Patients with DM but without a high TG/HDL-C ratio had a Hazard ratio of 3.637 for cardiovascular mortality relative to those without DM, but without a high TG/HDL-C ratio.Even though a high TG/HDL-C ratio is associated with insulin resistance, patients with or without DM, but with a high TG/HDL-C ratio had better 30-day and 1-year outcomes.

The Association between Nutritional Status and In-Hospital Mortality among Patients with Acute Coronary Syndrome-A Result of the Retrospective Nutritional Status Heart Study (NSHS)

BACKGROUND

Nutritional status is related to the prognosis and the length of hospitalization of individuals with myocardial infarction. This study aimed to assess the effects of nutritional status on in-hospital mortality in patients with acute coronary syndrome.

METHODS

We performed a retrospective study of 1623 medical records of patients admitted to the cardiology department of the University Clinical Hospital in Wroclaw (Poland) between 2017 and 2019.

RESULTS

It was found that, of those who died in the sample, 50% had a BMI within the normal range, 29% were in the overweight range and 18% were in the obese range. Patients who died had significantly more frequent occurrences of the following: Nutrition Risk Screening (NRS) ≥ 3 (20% vs. 6%; p < 0.001); heart failure (53% vs. 25%; p < 0.001); or a history of stroke (22% vs. 9%; p < 0.001), arterial hypertension (66% vs. 19%; p < 0001) or diabetes (41% vs. 19%; p < 0.001). Statistically significant differences were found when considering the type of infarction, diabetes or people with low-density lipoprotein greater than or equal to 70 mg/dL.

CONCLUSIONS

This study shows that malnutrition correlates with an increased risk of death during hospitalization.

Determinants of carotid intima-media thickness in asymptomatic elders: a population-based cross-sectional study in rural China

Objective: To examine the mean carotid intima-media thickness (CIMT) and potentially relevant determinants of increased CIMT in elders. Method: Stroke-free and cardiovascular disease-free residents aged ≥65 years were recruited in a low-income population in China. B-mode ultrasonography was performed to measure CIMT. Results: A total of 1039 individuals (47.9% men) were recruited. The mean CIMT value was 0.60 (SD: 0.09) mm. The mean CIMT was 24.07 (SEM: 6.52) µm greater in men than in women (P < 0.001) and 28.29 (SEM: 7.47) µm greater in patients with hypertension than in those without hypertension (P < 0.001). Moreover, the mean CIMT increased by 1.53 (SEM: 0.49) µm for each 1-year increase in age (P = 0.002). However, the mean CIMT decreased by 5.55 (SEM: 2.40) μm and 6.45 (SEM: 2.62) μm for every 1-mmol/L increase in triglyceride concentration and the high-density lipoprotein cholesterol: low-density lipoprotein cholesterol ratio, respectively (P < 0.05). However, high triglyceride level was negatively associated with mean CIMT only among individuals without metabolic syndrome (P = 0.036). Discussion: These findings suggest that there is an urgent need to delay atherosclerosis progression and reduce the stroke burden by managing hypertension, especially for men. Moreover, to decrease the stroke burden in rural China, caution is advised regarding lipid-lowering treatment in elderly patients without metabolic syndrome.

GLP-1 analog liraglutide-induced cardiac dysfunction due to energetic starvation in heart failure with non-diabetic dilated cardiomyopathy

Background

Glucagon-like peptide-1 (GLP-1) reduces cardiovascular events in diabetic patients; however, its counter-protective effects have also been suggested in patients with heart failure and the clear explanation for its mechanisms have not yet been offered.

Methods

The effects of GLP-1 analog on cardiac function and energy metabolism, especially glycemic and lipid metabolisms were elucidated using non-diabetic J2N-k hamsters which showed spontaneous dilated cardiomyopathy. J2N-k hamsters were treated with PBS (HF group), low-dose (HF-L group) or high-dose liraglutide (HF-H group).

Results

In failing heart, GLP-1 analog exerted further deteriorated cardiac function (e.g. positive and negative dP/dt; p = 0.01 and p = 0.002, respectively) with overt fibrosis and cardiac enlargement (heart/body weight, 5.7 ± 0.2 in HF group versus 7.6 ± 0.2 in HF-H group; p = 0.02). The protein expression of cardiac muscles indicated the energy starvation status. Indirect calorimetry showed that failing hearts consumed higher energy and carbohydrate than normal hearts; moreover, this tendency was augmented by GLP-1 analog administration. Upon 10% glucose solution loading with GLP-1 analog administration (HF-H-G group) as complementary experiments, the cardiac function and fibrosis significantly ameliorated, whereas carbohydrate utilization augmented further and lipid utilization reduced more. The prognosis of HF-H-G group also significantly improved (p = 0.025).

Conclusions

Glucagon-like peptide-1 analog caused the relative but desperate shortage of glycemic energy source for the failing cardiac muscles and it may restrict ATP synthesis, resulting in cardiac function deterioration. Therefore, appropriate energy supply and amount of carbohydrate intake should be carefully considered when administrating incretin-related drugs to patients with heart failure.