Lipid Paradox in Acute Myocardial Infarction—The Association With 30-Day In-Hospital Mortality:

Genetic Evidence for Causal Effects of Circulating Remnant Lipid Profile on Cerebral Hemorrhage and Ischemic Stroke: A Mendelian Randomization Study

BACKGROUND

Mendelian randomization was employed to investigate the impact of circulating lipids, specifically residual lipids, on the risk of susceptibility to cerebral hemorrhage and ischemic stroke.

METHODS

According to the previous studies, we chose 19 circulating lipids, comprising 6 regular lipids and 13 residual lipids, to investigate their potential causal relationship with intracranial hemorrhage and ischemic stroke. The effect estimates were computed utilizing the random-effects inverse-variance-weighted methodology.

RESULTS

The findings revealed negative correlations between high-density lipoprotein cholesterol (HDL-C) and cerebral hemorrhage and large artery stroke. HDL-C, apolipoprotein A1 (Apo A1), TG in very small VLDL, and TG in IDL were found to be negatively correlated with any ischemic stroke. apolipoprotein B (Apo B), triglycerides (TG), low-density lipoprotein cholestrol (LDL-C), L.VLDL-TG, TG in medium VLDL, and TG in small VLDL exhibited positive correlations with large artery stroke. TG in very large HDL and TG in IDL were positively correlated with cardioembolic stroke. No significant causal relationship was observed between circulating lipids, with the exception of HDL-C and cerebral hemorrhage. No causal relationship was identified between any circulating lipids and small vessel stroke. Furthermore, the causal relationships were only found between residual lipids and ischemic stroke.

CONCLUSIONS

This study provides evidence for the beneficial impact of Apo A1 and HDL-C in reducing the risk of ischemic stroke, as well as the protective effect of HDL-C against cerebral hemorrhage. It highlights the detrimental effects of Apo B, TG, and LDL-C in increasing the risk of ischemic stroke, particularly in cases of large artery stroke. Furthermore, the study underscores the heterogeneity and 2-sided effects of the causal relationship between triglyceride-rich lipoproteins and ischemic stroke, offering a promising avenue for the treatment of ischemic stroke.

Lipid-to-neutrophil ratios in predicting in-hospital outcomes in pulmonary thromboembolism

Introduction

Acute pulmonary thromboembolism (PTE) is one of the leading causes of death and severe disability. Considering the impact of inflammation and lipid profile on prevalence and prognosis of deep vein thrombosis and PTE, this study was conducted to assess the predictive value of lipid-to-neutrophil count ratios for the short-term survival of PTE patients.

Methods

This study is an analytical cross-sectional study. Data regarding the demographics, past medical history, vital signs, laboratory variables, and the outcomes of hospitalization were gathered from the Tabriz PTE registry. The receiver operating characteristics (ROC) curve and area under curve (AUC) were utilized for assessing the prognostic values. SPSS 26 was used for all of the statistical analysis.

Results

The population of this analytical cross-sectional study consists of 547 PTE patients of which 41 patients (7.5%) died during hospitalization. There was a significant difference between death and survived groups regarding cholesterol (146.00[60.50] vs. 165.50[59.75]; p-value<0.01), LDL (80.00[48.00] vs. 102.00[52.00]; p-value<0.01), HDL (31.00[19.00] vs. 35.00[14.00]; p-value=0.04). Cholesterol/neutrophil*1000 with a cut-off value of 22.014 (sensitivity: 56.7%; specificity: 61.3%), LDL/neutrophil*1000 with a cut-off value of 10.909 (sensitivity: 69.3%; specificity: 51.9%) and HDL/neutrophile *1000 with a cut-off value of 4.150 (sensitivity: 61.9%; specificity: 58.1%) can predict short-term survival in patients with acute PTE.

Conclusion

Based on our findings, patients with higher cholesterol/neutrophil, LDL/neutrophil, and HDL/neutrophil ratios have a better in-hospital prognosis and measurement of lipid-to-neutrophil ratio in the first 24 hours of hospitalization may be a valuable marker for determining the early prognosis of PTE. However, additional clinical studies are suggested for a more definitive conclusion.

The relationship between triglyceride/high-density lipoprotein cholesterol ratio and the severity of coronary artery disease in patients presenting with acute coronary syndrome

BACKGROUND

The SYNTAX score is a score that grades the severity and complexity of coronary lesions. In this study, we aimed to investigate the relationship between triglyceride/high-density lipoprotein cholesterol (triglyceride/HDL-C) ratio and SYNTAX scores in patients presenting with non-ST elevation myocardial infarction (NSTEMI).

METHODS

This prospective study included 258 patients who presented at our center with STEMI, and underwent coronary angiography (CAG). The triglyceride/HDL-C ratio was calculated, and the relationship of this ratio with the SYNTAX score was determined with univariate and multivariate linear regression analyses.

RESULTS

The patients were separated into two groups according to the triglyceride/HDL-C ratios as low (<3.88) and high (≥3.88). The SYNTAX scores of the group with a high triglyceride/HDL-C score were determined to be significantly high ( P  < 0.001). When the SYNTAX scores were separated into two groups as low (≤22) and high (>23), a statistically significant correlation was determined between a high SYNTAX score and a high triglyceride/HDL-C ratio ( P  < 0.001). Logistic regression analysis was performed for the SYNTAX score, and the BMI value [odds ratio (OR) = 0.91, 95% confidence interval (CI): 0.85-0.98] and the triglyceride/HDL-C ratio (OR = 6.86, 95% CI: 3.45-13.65) alone were determined to be independent determinants of the SYNTAX score.

CONCLUSION

The most important result obtained from this study was that the triglyceride/HDL-C ratio, which is an index that has recently started to be frequently used, was a marker of greater coronary anatomic complexity (SYNTAX score >22), independently of other parameters in patients who presented with NSTEMI and underwent CAG.

Association of triglyceride glucose index with stroke: from two large cohort studies and Mendelian randomization analysis

INTRODUCTION

The triglyceride glucose index (TyG) is associated with cardiovascular diseases; however, its association with stroke remains unclear. This study aimed to elucidate this relationship by examining two extensive cohort studies using two-sample Mendelian randomization (MR).

METHODS

Using data from the 1999-2018 National Health and Nutrition Examination Survey (NHANES) and the Medical Information Mart for Intensive Care (MIMIC)-IV, the correlation between TyG (continuous and quartile) and stroke was examined using multivariate Cox regression models and sensitivity analyses. Two-sample MR was employed to establish causality between TyG and stroke using the inverse variance weighting method. Genome-wide association study catalog queries were performed for single nucleotide polymorphism-mapped genes, and the STRING platform used to assess protein interactions. Functional annotation and enrichment analyses were also conducted.

RESULTS

From the NHANES and MIMIC-IV cohorts, we included 740 and 589 participants with stroke, respectively. After adjusting for covariates, TyG was linearly associated with the risk of stroke death (NHANES: hazard ratio [HR] 0.64, 95% CI: 0.41-0.99, P =0.047; Q3 vs. Q1, HR 0.62, 95% CI: 0.40-0.96, P =0.033; MIMIC-IV: HR 0.46, 95% CI: 0.27-0.80, P =0.006; Q3 vs. Q1, HR 0.32, 95% CI: 0.12-0.86; Q4 vs. Q1, HR 0.30, 95% CI: 0.10-0.89, P =0.030, P for trend=0.017). Two-sample MR analysis showed genetic prediction supported a causal association between a higher TyG and a reduced risk of stroke (odds ratio 0.711, 95% CI: 0.641-0.788, P =7.64e -11 ).

CONCLUSIONS

TyG was causally associated with a reduced risk of stroke. TyG is a critical factor for stroke risk management.

Lipidomic analyses reveal potential biomarkers for predicting death and heart failure after acute myocardial infarction

Background Acute myocardial infarction (AMI) and postmyocardial infarction heart failure (pMIHF) have high mortality rates worldwide. This study aimed to explore lipidomic profiles and identify potential biomarkers for the prediction of death and heart failure (HF) after AMI. Methods All serum samples were collected at Xuanwu Hospital, Capital Medical University, and their clinical characteristics and lipidomic profiles were analyzed in different groups. LC-MS/MS was used for lipidomic analyses, and underlying biomarkers were screened by receiver operating characteristic (ROC) curve analysis. Results Lipidomic analyses of the survival and nonsurvival groups revealed that the decrease of the content of SM (d18:1/22:0), PE (P-20:1/18:0), PC (18:2), LPE (18:2), PE (P-20:0/18:0), LPC (18:0) and PC (20:0/20:3) while increase of the content of PG (18:1/18:1) could increase the risk of death after AMI. In parallel, the lipidomic analysis of the HF and non-HF groups revealed that the decrease of the content of PC (20:3/20:4), LPC (20:3), LPC (18:0), LPC (18:2), LPC (20:0), LPC (18:3), LPE (16:1) and PC (18:2/20:3) could increase the risk of HF after AMI. Conclusion Several lipids could be potential biomarkers for the prediction of death and HF after AMI.

Triglyceride-glucose index and clinical outcomes in sepsis: A retrospective cohort study of MIMIC-IV

Although accumulating researches were done for investigating the relationship between triglyceride-glucose index (TyG index) and different diseases, none of the researches have been made in sepsis yet. In this study, we aimed to explore the relationship between TyG index and clinical outcomes in sepsis based on a large critical care public database. Sepsis patients in Medical Information Mart for Intensive Care IV (MIMIC-IV) Database were included. The exposure was TyG index, which was calculated by the equation: ln (TG (mg/dL) × FBG (mg/dL)/2). The outcomes were in-hospital mortality and 1-year mortality. The relationship between TyG index and outcomes was performed by Cox regression analysis. Smooth fitting curves were constructed by using generalized additive model. Kaplan-Meier analyses for cumulative hazard of 1-year mortality in different groups were done. 1103 sepsis patients were included with a median TyG index of 9.78. The mortalities of in-hospital and 1-year were 37.53% (n = 414) and 42.25% (n = 466), respectively. After adjusting confounders, there was a significantly negative relationship between TyG index and mortalities of in-hospital and 1-year. With the per unit increment in TyG index, the risk of in-hospital and 1-year mortality both decreased by 21% (HR = 0.79, 95% CI: 0.66-0.94, p = 0.0086 and HR = 0.79, 95% CI: 0.66-0.94, p = 0.0080, respectively). A negative relationship between TyG index and clinical outcomes in sepsis was found.

Development and validation of a predictive model for PACU hypotension in elderly patients undergoing sedated gastrointestinal endoscopy

BACKGROUND

Hypotension, characterized by abnormally low blood pressure, is a frequently observed adverse event in sedated gastrointestinal endoscopy procedures. Although the examination time is typically short, hypotension during and after gastroscopy procedures is frequently overlooked or remains undetected. This study aimed to construct a risk nomogram for post-anesthesia care unit (PACU) hypotension in elderly patients undergoing sedated gastrointestinal endoscopy.

METHODS

This study involved 2919 elderly patients who underwent sedated gastrointestinal endoscopy. A preoperative questionnaire was used to collect data on patient characteristics; intraoperative medication use and adverse events were also recorded. The primary objective of the study was to evaluate the risk of PACU hypotension in these patients. To achieve this, the least absolute shrinkage and selection operator (LASSO) regression analysis method was used to optimize variable selection, involving cyclic coordinate descent with tenfold cross-validation. Subsequently, multivariable logistic regression analysis was applied to build a predictive model using the selected predictors from the LASSO regression. A nomogram was visually developed based on these variables. To validate the model, a calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used. Additionally, external validation was conducted to further assess the model's performance.

RESULTS

The LASSO regression analysis identified predictors associated with an increased risk of adverse events during surgery: age, duration of preoperative water abstinence, intraoperative mean arterial pressure (MAP) <65 mmHg, decreased systolic blood pressure (SBP), and use of norepinephrine (NE). The constructed model based on these predictors demonstrated moderate predictive ability, with an area under the ROC curve of 0.710 in the training set and 0.778 in the validation set. The DCA indicated that the nomogram had clinical applicability when the risk threshold ranged between 20 and 82%, which was subsequently confirmed in the external validation with a range of 18-92%.

CONCLUSION

Incorporating factors such as age, duration of preoperative water abstinence, intraoperative MAP <65 mmHg, decreased SBP, and use of NE in the risk nomogram increased its usefulness for predicting PACU hypotension risk in elderly patient undergoing sedated gastrointestinal endoscopy.

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.

The Paradoxical Association of Lipids with Survival and Walking Ability of Hip Fractures in Geriatric Patients After Surgery: A 1-Year Follow-Up Study

Background

We aimed to explore the association between lipids and the survival and walking ability of hip fractures in geriatric patients after surgery.

Methods

Restricted cubic spline (RCS) was established to explore the nonlinear relationship between lipids and 1-year mortality of hip fractures, and the cut-off points were also determined by RCS. Then, the patients were divided into three groups: low, middle, and high levels of LDL-c. Then, the survival and walking ability of patients from different groups were compared, and the Cox regression and Logistics regression were used to identify the relationships between lipids and the survival and walking ability of hip fractures.

Results

The patients with middle levels of LDL-c had a significantly high survival probability than those with low or high levels of LDL-c (p < 0.001). The patients with low levels of LDL-c and with high levels of LDL-c may have a poor prognosis compared with patients with middle levels of LDL-c in 6-month mortality, 6-month free walking ability, 1-year mortality, and 1-year free walking ability (All p < 0.05).

Conclusion

Low and high levels of LDL-c may both relate to the poor survival and walking ability of hip fractures.

Association of triglyceride levels with adverse cardiovascular events in patients with ST-segment elevation myocardial infarction

Although there is an established association between elevated triglyceride (eTG, ≥175 mg/dl) levels and adverse cardiovascular events, some studies have suggested that eTG levels may be linked to neutral or even improved clinical outcomes, particularly among patients with acute myocardial infarction. However, these studies had certain limitations, including small sample sizes, heterogeneous study populations, and inadequate statistical adjustments. To address these limitations, we conducted an analysis of 5347 patients with ST-segment elevation myocardial infarction (STEMI) between March 2003 and December 2020, using a prospective registry-based cohort from two large, regional STEMI centers. We used a triglyceride level of 175 mg/dl as the cutoff point for eTG levels. Of the study participants, 24.5% (n = 1312) had eTG levels. These patients were more likely to be younger, male, and have a higher number of cardiovascular risk factors compared to those with low TG levels. Despite these unfavorable cardiovascular risk profiles, patients with eTG levels had lower unadjusted risks of 1-year major adverse cardiac events (MACE) -a composite of myocardial infarction, stroke, and death- than those with low TG levels (8.8% vs. 11%, p = 0.034). However, after adjusting for certain clinical factors and lipid profile, eTG levels were not associated with a lower 1-year MACE (aHR: 1.10 (0.71-1.70), p = 0.7). In conclusion, a quarter of STEMI patients had eTG levels and these patients had comparable long-term cardiovascular outcomes compared to those with low TG levels after controlling for clinical factors and lipid profile.

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.

Prediction models for major adverse cardiovascular events following ST-segment elevation myocardial infarction and subgroup-specific performance

Background

ST-segment elevation myocardial infarction (STEMI) patients are at a high residual risk of major adverse cardiovascular events (MACEs) after revascularization. Risk factors modify prognostic risk in distinct ways in different STEMI subpopulations. We developed a MACEs prediction model in patients with STEMI and examined its performance across subgroups.

Methods

Machine-learning models based on 63 clinical features were trained in patients with STEMI who underwent PCI. The best-performing model (the iPROMPT score) was further validated in an external cohort. Its predictive value and variable contribution were studied in the entire population and subgroups.

Results

Over 2.56 and 2.84 years, 5.0% and 8.33% of patients experienced MACEs in the derivation and external validation cohorts, respectively. The iPROMPT score predictors were ST-segment deviation, brain natriuretic peptide (BNP), low-density lipoprotein cholesterol (LDL-C), estimated glomerular filtration rate (eGFR), age, hemoglobin, and white blood cell (WBC) count. The iPROMPT score improved the predictive value of the existing risk score, with an increase in the area under the curve to 0.837 [95% confidence interval (CI): 0.784-0.889] in the derivation cohort and 0.730 (95% CI: 0.293-1.162) in the external validation cohort. Comparable performance was observed between subgroups. The ST-segment deviation was the most important predictor, followed by LDL-C in hypertensive patients, BNP in males, WBC count in females with diabetes mellitus, and eGFR in patients without diabetes mellitus. Hemoglobin was the top predictor in non-hypertensive patients.

Conclusion

The iPROMPT score predicts long-term MACEs following STEMI and provides insights into the pathophysiological mechanisms for subgroup differences.

Association between lipid levels and all-cause and cause-specific mortality in critically ill patients

Extremely low lipid levels are considered a sign of debilitation and illness. The association between lipid levels and the risk of mortality in critically ill patients has not been well investigated. This study was designed to evaluate the association between lipid levels and all-cause and cause-specific mortality in critically ill patients using a large collaborative research database known as the eICU database. In total, 27,316 individuals with low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC) and triglyceride (TG) measurements were analyzed. A J-shaped association was observed between LDL-C, HDL-C, and TC levels and all-cause and noncardiovascular mortality, with low concentrations associated with higher risk. LDL-C, HDL-C and TC levels in the first quintile were associated with higher all-cause and noncardiovascular mortality but not with cardiovascular mortality compared to the reference quintile. There was a marked synergistic effect between low LDL-C combined with low HDL-C on the risk of mortality. Individuals with LDL-C ≤ 96 mg/dL and HDL-C ≤ 27 mg/dL had an increased risk of all-cause mortality (OR 1.52, 95% CI: 1.26-1.82), cardiovascular mortality (OR 1.07, 95% CI: 1.37-1.76) and noncardiovascular mortality (OR 1.82, 95% CI: 1.37-2.43). The results of this observational cohort showed that low LDL-C, HDL-C and TC levels were independently associated with higher all-cause and noncardiovascular mortality in critically ill patients.

Phenotypic changes in low-density lipoprotein particles as markers of adverse clinical outcomes in COVID-19

BACKGROUND AND AIMS

Low-density lipoprotein (LDL) plasma concentration decline is a biomarker for acute inflammatory diseases, including coronavirus disease-2019 (COVID-19). Phenotypic changes in LDL during COVID-19 may be equally related to adverse clinical outcomes.

METHODS

Individuals hospitalized due to COVID-19 (n = 40) were enrolled. Blood samples were collected on days 0, 2, 4, 6, and 30 (D0, D2, D4, D6, and D30). Oxidized LDL (ox-LDL), and lipoprotein-associated phospholipase A2 (Lp-PLA2) activity were measured. In a consecutive series of cases (n = 13), LDL was isolated by gradient ultracentrifugation from D0 and D6 and was quantified by lipidomic analysis. Association between clinical outcomes and LDL phenotypic changes was investigated.

RESULTS

In the first 30 days, 42.5% of participants died due to Covid-19. The serum ox-LDL increased from D0 to D6 (p < 0.005) and decreased at D30. Moreover, individuals who had an ox-LDL increase from D0 to D6 to over the 90th percentile died. The plasma Lp-PLA2 activity also increased progressively from D0 to D30 (p < 0.005), and the change from D0 to D6 in Lp-PLA2 and ox-LDL were positively correlated (r = 0.65, p < 0.0001). An exploratory untargeted lipidomic analysis uncovered 308 individual lipids in isolated LDL particles. Paired-test analysis from D0 and D6 revealed higher concentrations of 32 lipid species during disease progression, mainly represented by lysophosphatidyl choline and phosphatidylinositol. In addition, 69 lipid species were exclusively modulated in the LDL particles from non-survivors as compared to survivors.

CONCLUSIONS

Phenotypic changes in LDL particles are associated with disease progression and adverse clinical outcomes in COVID-19 patients and could serve as a potential prognostic biomarker.

Evaluation of the Association between Low-Density Lipoprotein (LDL) and All-Cause Mortality in Geriatric Patients with Hip Fractures: A Prospective Cohort Study of 339 Patients

BACKGROUND

Many factors affect the prognosis of hip fractures in the elderly. Some studies have suggested a direct or indirect association among serum lipid levels, osteoporosis, and hip fracture risk. LDL levels were found to have a statistically significant nonlinear U-shaped relationship with hip fracture risk. However, the relationship between serum LDL levels and the prognosis of patients with hip fractures remains unclear. Therefore, in this study, we assessed the influence of serum LDL levels on patient mortality over a long-term follow-up period.

METHODS

Elderly patients with hip fractures were screened between January 2015 and September 2019, and their demographic and clinical characteristics were collected. Linear and nonlinear multivariate Cox regression models were used to identify the association between LDL levels and mortality. Analyses were performed using Empower Stats and R software.

RESULTS

Overall, 339 patients with a mean follow-up period of 34.17 months were included in this study. Ninety-nine patients (29.20%) died due to all-cause mortality. Linear multivariate Cox regression models showed that LDL levels were associated with mortality (HR = 0.69, 95%CI: 0.53, 0.91, p = 0.0085) after adjusting for confounding factors. However, the linear association was unstable, and nonlinearity was identified. An LDL concentration of 2.31 mmol/L was defined as the inflection point for prediction. A LDL level < 2.31 mmol/L was associated with mortality (HR = 0.42, 95%CI: 0.25, 0.69, p = 0.0006), whereas LDL > 2.31 mmol/L was not a risk factor for mortality (HR = 1.06, 95%CI: 0.70, 1.63, p = 0.7722).

CONCLUSIONS

The preoperative LDL level was nonlinearly associated with mortality in elderly patients with hip fractures, and the LDL level was a risk indicator of mortality. Furthermore, 2.31 mmol/L could be considered a predictor cut-off for risk.

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.

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.

Association of triglyceride glucose index with all-cause and cause-specific mortality among middle age and elderly US population

Aims

To investigate the association between the triglyceride glucose (TyG) index and all-cause and cause-specific mortality in middle age and elderly population.

Methods and results

A total of 9,254 participants with age ≥ 45 years were enrolled from the National Health and Nutrition Examination Survey cycle of 1999–2014. The TyG index was determined as ln [fasting triglycerides (mg/dL) x fasting glucose (mg/dL)/2]. Primary outcomes were all-cause mortality and cause-specific mortality (cardiovascular diseases and malignant neoplasms). The association between the levels of TyG and the risk of mortality was explored with Cox regression models. After a median follow-up of 7.6 years, 1,774 all-cause death occurred. Univariate analysis showed that the TyG was associated with all-cause mortality (hazard ratio [HR] 1.18, 95% confidence interval [CI] [1.11,1.26]; p < 0.001). Furthermore, multivariate-adjusted analysis found that the third TyG quartile (8.72 ~ 9.16) was associated with the lowest risk of all-cause mortality (HR 0.84, 95%CI [0.73, 0.98]; p < 0.05). Restricted cubic splines showed that the association between levels of TyG index and the risk of all-cause mortality was non-linear (p for nonlinearity < 0.001) and the inflection point was 9.18 using threshold effect analysis. The HR was 0.82 (95%CI [0.71,0.96]) below 9.18 while the HR was 1.32 (95%CI [1.12,1.55]) above 9.18.

Conclusion

TyG index was U-shaped associated with all-cause mortality and the TyG index associated with the lowest risk of all-cause mortality was 9.18.

Impact of myocardial reperfusion on human plasma lipidome

The primary aim of the study is to investigate the temporal changes in plasma lipidome before and after reperfusion in patients with ST-segment elevation myocardial infarction (STEMI) and their association with myocardial injury. We found that 56% of the identified lipid species were significantly altered (corrected p< 0.05) in the first 24 h following reperfusion in patients with STEMI. Three lipid species, namely, acylcarnitine 18:2, TG 51:0, and LPC 17:1 were associated with a change in troponin concentration (delta troponin) and in-hospital cardiovascular events. Of these, acylcarnitine 18:2, and LPC 17:1 and their respective whole class levels, were significantly higher (p < 0.05) in the STEMI population than the age/sex-matched control subjects. Overall, our analyses showed a large shift in plasma lipidome in patients that undergo myocardial reperfusion. The differences found for acylcarnitines and LPC species and their association with both cardiac markers and cardiac outcomes need further validation.

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Human plasma lipidome rapidly shifts during myocardial reperfusion injury

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Novel plasma lipids are associated with cardiovascular events

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Acylcarnitines and lysoPCs correlate with the extent of myocardial injury

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Acute MI results in elevated plasma AC 18:2 and LPC 17:1 compared to controls

Low serum cholesterol level as a risk factor for out-of-hospital cardiac arrest: a case-control study

OBJECTIVE

We aimed to identify the association between low serum total cholesterol levels and the risk of out-of-hospital cardiac arrest (OHCA).

METHODS

This case-control study was performed using datasets from the Cardiac Arrest Pursuit Trial with Unique Registration and Epidemiologic Surveillance (CAPTURES) project and the Korea National Health and Nutrition Examination Survey (KNHANES). Cases were defined as emergency medical service-treated adult patients who experienced OHCA with a presumed cardiac etiology from the CAPTURES project dataset. Four controls from the KNHANES dataset were matched to each case based on age, sex, and county. Multivariable conditional logistic regression analysis was conducted to evaluate the effect of total cholesterol levels on OHCA.

RESULTS

A total of 607 matched case-control pairs were analyzed. We classified total cholesterol levels into six categories (<148, 148-166.9, 167-189.9, 190-215.9, 216-237.9, and ≥238 mg/dL) according to the distribution of total cholesterol levels in the KNHANES dataset. Subjects with a total cholesterol level of 167-189.9 mg/dL (25th-49th percentile of the KNHANES dataset) were used as the reference group. In both the adjusted models and sensitivity analysis, a total cholesterol level of <148 mg/dL was significantly associated with OHCA (adjusted odds ratio [95% confidence interval], 6.53 [4.47-9.56]).

CONCLUSION

We identified an association between very-low total cholesterol levels and an increased risk of OHCA in a large, community-based population. Future prospective studies are needed to better understand how a low lipid profile is associated with OHCA.

Impact of initial very low-level low-density lipoprotein cholesterol on the prognosis of acute myocardial infarction patients

BACKGROUND

Cholesterol control with statins has been shown to have beneficial effects in coronary artery disease. However, the relationship between initial very low low-density lipoprotein (LDL) cholesterol levels and long-term clinical outcomes in patients with acute myocardial infarction (AMI) remains unclear.

METHODS

A total of 8741 (mean age: 64.6 ± 12.7 years, men) consecutive AMI patients treated with drug-eluting stents were entered into the Korea Acute Myocardial Infarction Registry from November 2011 to December 2015. Patients were divided into six groups according to whether they were taking statins (on-statin group) or not (statin naive group) and depending on their LDL cholesterol level at admission (<70, 70-99, 100-129, 130-159, >160 mg/dl). Clinical outcomes at 24 months in patients with AMI were examined.

RESULTS

The incidence of risk factors including hypertension, diabetes, coronary artery disease and heart failure was lower as LDL cholesterol increased, except in the on-statin group. Clinical outcomes, including total mortality at 24 months, showed better outcomes in those with high LDL cholesterol than those with low LDL cholesterol, except in the statin group. In the statin-naïve group, the higher the LDL cholesterol level, the higher the rate of 24-month survival. In a Cox regression model, initial low LDL cholesterol was an independent predictor of mortality at 24 months after adjusting for baseline confounding factors.

CONCLUSIONS

At admission, a very low LDL cholesterol level (<70 mg/dL) in statin-naïve AMI patients undergoing percutaneous coronary intervention was independently associated with higher mortality at 24 months.

Admission LDL-C and long-term mortality in patients with acute aortic dissection: a survival analysis in China

BACKGROUND

The level of blood lipid is closely related to prognosis in cardiovascular diseases. This study aims to analyze the effect of serum low-density lipoprotein cholesterol (LDL-C) levels on the long-term mortality in acute aortic dissection (AAD). A lower admission LDL-C level is associated with an increased risk of long-term mortality in AAD.

METHODS

We analyzed the data of 284 patients with AAD admitted to the First Affiliated Hospital of Shantou University Medical College from February 2016 to September 2019. Patients were followed up post-discharge. All patients were divided into either an LDL-C low-level group or an LDL-C high-level group according to the optimal cut-off point obtained by the receiver operating characteristic (ROC) curve. The endpoint outcome was long-term mortality in AAD. A survival analysis and Cox proportional hazards model were used.

RESULTS

According to the Youden index, the optimal cut-off point for LDL-C was 2.755 mmol/L. The Kaplan-Meier survival analysis curves showed that the long-term mortality of the LDL-C low-level group (<2.755 mmol/L) was significantly higher than that of the LDL-C high-level group (≥2.755 mmol/L) (log-rank χ2=13.912, P<0.001). After multivariate Cox regression analysis, LDL-C <2.755 mmol/L was still significantly associated with long-term mortality in AAD (HR=3.287, 95% CI: 1.637-6.600, P=0.001). In addition, cystatin C was also an independent risk factor for the long-term prognosis of AAD (HR=1.253, 95% CI: 1.057-1.486, P=0.009).

CONCLUSIONS

A lower admission LDL-C level may be associated with an increased risk of long-term mortality in AAD.

LDL cholesterol levels and in-hospital bleeding in patients on high-intensity antithrombotic therapy: findings from the CCC-ACS project

AIMS 

Emerging evidence has linked cholesterol metabolism with platelet responsiveness. We sought to examine the dose-response relationship between low-density lipoprotein cholesterol (LDL-C) and major in-hospital bleeds in acute coronary syndrome (ACS) patients.

METHODS AND RESULTS 

Among 42 378 ACS patients treated with percutaneous coronary intervention (PCI) enrolled in 240 hospitals in the Improving Care for Cardiovascular Disease in China-ACS project from 2014 to 2019, a total of 615 major bleeds, 218 ischaemic events, and 337 deaths were recorded. After controlling for baseline variables, a non-linear relationship was observed for major bleeds, with the higher risk at lower LDL-C levels. No dose-response relationship was identified for ischaemic events and mortality. A threshold value of LDL-C <70 mg/dL was associated with an increased risk for major bleeds (adjusted odds ratio: 1.49; 95% confidence interval: 1.21-1.84) in multivariable-adjusted logistic regression models and in propensity score-matched cohorts. The results were consistent in multiple sensitivity analyses. Among ticagrelor-treated patients, the LDL-C threshold for increased bleeding risk was observed at <88 mg/dL, whereas for clopidogrel-treated patients, the threshold was <54 mg/dL. Across a full spectrum of LDL-C levels, the treatment effect size associated with ticagrelor vs. clopidogrel on major bleeds favoured clopidogrel at lower LDL-C levels, but no difference at higher LDL-C levels.

CONCLUSIONS 

In a nationwide ACS registry, a non-linear association was identified between LDL-C levels and major in-hospital bleeds following PCI, with the higher risk at lower levels. As the potential for confounding may exist, further studies are warranted.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02306616.

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.

Association between low-density lipoprotein cholesterol level and mortality in patients with cardiogenic shock: a retrospective cohort study

AIMS

Inflammation plays a key role in the pathophysiology of cardiogenic shock (CS). Low-density lipoprotein cholesterol (LDL-C) is a biomarker of inflammation and is used to predict prognostic outcomes of several diseases. The primary purpose of this study was to evaluate if LDL-C can be used as a biomarker to predict the mortality of CS.

METHODS AND RESULTS

Records of critically ill patients with CS were identified from the Medical Information Mart for Intensive Care III database. A multivariate Cox regression model was employed to adjust for imbalances by incorporating parameters and potential confounders.A total of 551 critically ill patients with CS were enrolled for this analysis, including 207 with LDL-C <1.8 mmol/L and 344 with LDL-C ≥1.8 mmol/L. Results of multivariate Cox regression models found that higher concentration of LDL-C (LDL-C ≥1.8mmol/L) was associated with a reduced risk of in-hospital mortality (HR 0.66, 95% CI 0.50 to 0.87; p=0.003) and 28-day mortality (HR 0.61, 95% CI 0.46 to 0.80; p=0.002) LDL-C in patients with CS. Patients with LDL-C ≥1.8 mmol/L were independently associated with improved in-hospital survival (HR 0.32, 95% CI 0.20 to 0.52, p<0.001) and 28-day survival (HR 0.51, 95% CI 0.33 to 0.73, p=0.002) compared with patients with LDL-C <1.8 mmol/L. The impact of LDL-C on in-hospital mortality and 28-day mortality persisted in patients with acute coronary syndrome (ACS) and was not statistically significant in the non-ACS subgroup.

CONCLUSIONS

Our study observed that increased LDL-C level was related with improved survival in patients with CS, but not with improved outcomes in patients with uncomplicated ACS. The results need to be verified in randomised controlled trials.

Targeting the Cholesterol Paradigm in the Risk Reduction for Atherosclerotic Cardiovascular Disease: Does the Mechanism of Action of Pharmacotherapy Matter for Clinical Outcomes?

Hypercholesterolemia is a well-established risk factor for atherosclerotic cardiovascular disease (ASCVD). Low-density lipoprotein cholesterol (LDL-C) has been labeled as "bad" cholesterol and high-density lipoprotein cholesterol (HDL-C) as "good" cholesterol. The prevailing hypothesis is that lowering blood cholesterol levels, especially LDL-C, reduces vascular deposition and retention of cholesterol or apolipoprotein B (apoB)-containing lipoproteins which are atherogenic. We review herein the clinical trial data on different pharmacological approaches to lowering blood cholesterol and propose that the mechanism of action of cholesterol lowering, as well as the amplitude of cholesterol reduction, are critically important in leading to improved clinical outcomes in ASCVD. The effects of bile acid sequestrants, fibrates, niacin, cholesteryl ester transfer protein (CETP) inhibitors, apolipoprotein A-I and HDL mimetics, apoB regulators, acyl coenzyme A: cholesterol acyltransferase (ACAT) inhibitors, cholesterol absorption inhibitors, statins, and proprotein convertase subtilisin kexin 9 (PCSK9) inhibitors, among other strategies are reviewed. Clinical evidence supports that different classes of cholesterol lowering or lipoprotein regulating approaches yielded variable effects on ASCVD outcomes, especially in cardiovascular and all-cause mortality. Statins are the most widely used cholesterol lowering agents and have the best proven cardiovascular event and survival benefits. Manipulating cholesterol levels by specific targeting of apoproteins or lipoproteins has not yielded clinical benefit. Understanding why lowering LDL-C by different approaches varies in clinical outcomes of ASCVD, especially in survival benefit, may shed further light on our evolving understanding of how cholesterol and its carrier lipoproteins are involved in ASCVD and aid in developing effective pharmacological strategies to improve the clinical outcomes of ASCVD.

Association of Acidemia With Short-Term Mortality of Acute Myocardial Infarction: A Retrospective Study Base on MIMIC-III Database

Acute myocardial infarction (AMI) is a leading cause of death and not a few of these patients are combined with acidemia. This study aimed to detect the association of acidemia with short-term mortality of AMI patients. A total of 972 AMI patients were selected from the Medical Information Mart for Intensive Care (MIMIC) III database for analysis. Propensity-score matching (PSM) was used to reduce the imbalance. Kaplan-Meier survival analysis was used to compare the mortality, and Cox-proportional hazards model was used to detect related factors associated with mortality. After PSM, a total of 345 non-acidemia patients and 345 matched acidemia patients were included. The non-acidemia patients had a significantly lower 30-day mortality (20.0% vs. 28.7%) and lower 90-day mortality (24.9% vs. 31.9%) than the acidemia patients (P < 0.001 for all). The severe-acidemia patients (PH < 7.25) had the highest 30-day mortality (52.6%) and 90-day mortality (53.9%) than non-acidemia patients and mild-acidemia (7.25 ≤ PH < 7.35) patients (P < 0.001). In Cox-proportional hazards model, acidemia was associated with improved 30-day mortality (HR = 1.518; 95%CI = 1.110-2.076, P = 0.009) and 90-day mortality (HR = 1.378; 95%CI = 1.034 -1.837, P = 0.029). These results suggest that severe acidemia is associated with improved 30-day mortality and 90-day mortality of AMI patients.

The lipid paradox in neuroprogressive disorders: Causes and consequences

Chronic systemic inflammation is associated with an increased risk of cardiovascular disease in an environment of low low-density lipoprotein (LDL) and low total cholesterol and with the pathophysiology of neuroprogressive disorders. The causes and consequences of this lipid paradox are explored. Circulating activated neutrophils can release inflammatory molecules such as myeloperoxidase and the pro-inflammatory cytokines interleukin-1 beta, interleukin-6 and tumour necrosis factor-alpha. Since activated neutrophils are associated with atherosclerosis and cardiovascular disease and with major depressive disorder, bipolar disorder and schizophrenia, it seems reasonable to hypothesise that the inflammatory molecules released by them may act as mediators of the link between systemic inflammation and the development of atherosclerosis in neuroprogressive disorders. This hypothesis is tested by considering the association at a molecular level of systemic inflammation with increased LDL oxidation; increased small dense LDL levels; increased lipoprotein (a) concentration; secretory phospholipase A₂ activation; cytosolic phospholipase A₂ activation; increased platelet activation; decreased apolipoprotein A1 levels and function; decreased paroxonase-1 activity; hyperhomocysteinaemia; and metabolic endotoxaemia. These molecular mechanisms suggest potential therapeutic targets.

Omega-3 Fatty Acids and Coronary Artery Disease: More Questions Than Answers

Studies show that patients with elevated triglycerides and well-controlled LDL levels under statin therapy still have a significant residual risk of cardiovascular (CV) events. Despite many attempts to reduce triglycerides with different hypolipidemic drugs, no therapeutic option has given satisfactory results so far. The initial enthusiasm that omega-3 fatty acids can effectively reduce triglycerides and CV risk was replaced with skepticism when the first large clinical trials failed to show any benefit in primary or secondary prevention. However, the latest studies succeeded in showing a positive effect of omega-3 fatty acids on CV outcome in patients with hypertriglyceridemia. The largest benefit was reported in secondary but not primary prevention. Interestingly, the reduction in triglycerides in some of these studies was disproportionately low to the relatively high CV risk reduction, which could indicate some other effects of omega-3 fatty acids that go well beyond hypotriglyceridemic action. This includes blood pressure reduction, antithrombotic effect, improvement of inflammatory status, endothelial function, and insulin resistance. Investigations also reported a significant and positive influence of omega-3 fatty acids on the composition and stabilization of coronary atherosclerotic plaques in patients with and without previous CV events. In addition to insufficiently known mechanisms of action and conflicting results about the effectiveness of omega-3 fatty acids, the safety problems, which include increased prevalence of atrial fibrillation and hemorrhage, were also reported. The aim of this clinical review was to summarize the current knowledge regarding the use of omega-3 fatty acids in CV patients, particularly those with coronary artery disease, and to present an overview of key clinical trial data.

Prognostic implications of calculated Apo-lipoprotein B in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention: Outcome is tied to lower cut-points

Background

Debates still surround using lipoproteins including Apo‐B in risk assessment, management, and prognosis of patients with coronary artery disease. During an acute ST‐segment elevation myocardial infarction, Apo‐B might help to achieve incremental prognostic information.

Objective

We sought to determine the potential prognostic utility of calculated Apo‐B in a cohort of patients with STEMI undergoing primary PCI.

Methods

A retrospective cohort study was conducted enrolling 2,259 patients with a diagnosis of acute STEMI who underwent primary PCI. Apo‐B was obtained using a valid equation based on initial lipid measurements. High Apo‐B was defined as a level of 65 or higher. Primary endpoint of the study was major adverse cardiovascular events (MACE).

Results

Mean age of the participants was 59.54 years and 77.9% of them were male. After a Median follow up of 15 (6.2) months, high Apo‐B was associated with MACE and the OR (95% CI) was 3.02 (1.07–8.47), p = .036. Odds ratios for prediction of MACE pertaining to LVEF, and smoking were 0.97 (p = .044), and 1.07 (p = .033), respectively. However, High Apo‐B was not able to predict suboptimal TIMI flow. Accordingly, the Odds ratio was 0.56 (0.17–1.87), p = 0.349. The power of High LDL‐C and Non‐HDLC for prediction of MACE were assessed in distinct models. Attained odds ratios were [2.40 (0.90–6.36), p = .077] and [1.80 (0.75–4.35), p = 0.191], respectively.

Conclusion

Calculated Apo‐B appears to be a simple tool applicable for prediction of cardiovascular events in patients with STEMI superior to both Non‐HDLC and LDL‐C.

PCSK9 inhibition, LDL and lipopolysaccharides: a complex and "dangerous" relationship

Literature concerning the causative factors of atherosclerotic cardiovascular disease shows complex and sometimes contrasting evidence. Most guidelines suggest a strategy aimed at lowering circulating low density lipoproteins (LDL) and ApoB lipoprotein levels. The use of statins and of cholesteryl ester transfer protein inhibitors has led to a number of controversial outcomes, generating a certain degree of concern about the real efficacy and especially safety of these drugs. Literature data show that the use of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors results in a dramatic reduction of various markers of lipid metabolism (namely LDL); however, several critical scientific papers have questioned the value, the need and especially the safety of these innovative drugs. LDL are a protective factor against lipopolysaccharides and other microbial derivatives. Similarly, these gram-negative bacteria-derived compounds have been identified as probable culprits of cardiovascular atherogenesis; moreover, lipopolysaccharides increase hepatic synthesis of PCSK9, as defense mechanism. This enzyme modulates LDL receptors level in the liver, as well as in other organs, such as adrenal gland and reproductive organs. Hence, PCSK9 inhibition may influence glucocorticoid secretion and fertility. Lastly, the consequent reduction of circulating LDL may relevantly hindrance immune system and favor lipopolysaccharides diffusion.

Exploring the causal roles of circulating remnant lipid profile on cardiovascular and cerebrovascular diseases: Mendelian randomization study

Background

Causal evidence of circulating lipids especially the remnant cholesterol with cardiovascular and cerebrovascular disease (CVD) is lacking. This research aimed to explore the causal roles of extensive lipid traits especially the remnant lipids in CVD.

Methods

Two-sample Mendelian randomization (TSMR) analysis was performed based on large-scale meta-analysis datasets in European ancestry. The causal effect of 15 circulating lipid profiles including 6 conventional lipids and 9 remnant lipids on coronary heart disease (CHD) and ischemic stroke (IS), as well as the subtypes, was assessed.

Results

Apolipoprotein B (Apo B), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were still important risk factors for CHD and myocardial infarction (MI) but not for IS. Apo B is the strongest which increased the CHD and MI risk by 44% and 41%, respectively. The odds ratios (ORs) of total TG on CHD and MI were 1.25 (95% confidence interval [CI], 1.13–1.38) and 1.24 (95% CI, 1.11–1.38), respectively. A one standard deviation difference increased TG in medium very-low-density lipoproteins (M.VLDL.TG), TG in small VLDL (S.VLDL.TG), TG in very small VLDL (XS.VLDL.TG), TG in intermediate-density lipoproteins (IDL.TG), TG in very large HDL (XL.HDL.TG), and TG in small HDL (S.HDL.TG) particles also robustly increased the risk of CHD and MI by 9–28% and 9–27%, respectively. TG in very/extremely large VLDL (XXL.VLDL.TG and XL.VLDL.TG) were insignificant or even negatively associated with CHD (in multivariable TSMR), and negatively associated with IS as well.

Conclusion

The remnant lipids presented heterogeneity and two-sided effects for the risk of CHD and IS that may partially rely on the particle size. The findings suggested that the remnant lipids were required to be intervened according to specific components. This research confirms the importance of remnant lipids and provides causal evidence for potential targets for intervention.

Hypertriglyceridemia Is an Independent Risk Factor for Cardiovascular Diseases in Korean Adults Aged 30-49 Years: a Nationwide Population-Based Study

Objective

This study was conducted to estimate the incidence of cardiovascular disease (CVD) independently from low-density lipoprotein (LDL) cholesterol according to triglyceride (TG) levels in young adults.

Methods

Subjects aged 30–49 years with data from routine health check-ups provided by the National Health Insurance Service during 2009 were selected. The primary outcome was incident CVD, defined as a composite of ischemic heart disease and ischemic stroke during the follow-up period from 2009 to 2018.

Results

The mean age of study subjects (n=1,823,537) was 40.1±5.7 years, and the median follow-up period was 8.3 years. The quartiles of serum TG levels at the baseline were calculated: Q1, <74 mg/dL; Q2, 74–108 mg/dL; Q3, 109–166 mg/dL; and Q4: >166 mg/dL. The highest quartile of TG levels (Q4) had a significantly higher risk of the primary outcome than Q1 (hazard ratio [HR], 2.40 [95% confidence interval; CI, 2.33–2.47]). Q2 and Q3 also experienced the primary outcome more frequently than Q1 (HR, 1.37 [95% CI, 1.33–1.42] and HR, 1.80 [95% CI, 1.75–1.86], respectively). Even after adjustment for age, sex, obesity, alcohol drinking amount, smoking, LDL cholesterol, diabetes mellitus, hypertension, lipid-lowering medication use, and family history of CVD, there was a significant dose-response relationship between TG quartiles and the risk of the primary outcome (HR per quartile, 1.13 [95% CI, 1.12–1.14]).

Conclusion

In conclusion, in the Korean population aged 30–49 years, high TG levels independently increased future CVD risk in both men and women.

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.

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.

Sex differences in the relationship among alcohol, smoking, and Helicobacter pylori infection in asymptomatic individuals

OBJECTIVE

We aimed to investigate the relationship of Helicobacter pylori infection with alcohol and smoking.

METHODS

We conducted a cross-sectional study among participants who underwent health check-ups for H. pylori infection between January 2013 and March 2017. We subsequently investigated the relationship of H. pylori infection with alcohol and smoking.

RESULTS

A total of 7169 participants were enrolled in this study. The overall prevalence of H. pylori infection was 55.2%. Participants with H. pylori infection were more likely to be older than those without H. pylori infection. For male participants with H. pylori infection, multivariable logistic regression analysis indicated that both smoking (odds ratio (OR): 1.61; 95% confidence interval (CI): 1.41-1.83) and alcohol consumption (OR: 1.30; 95% CI: 1.10-1.52) were independently positively associated with H. pylori infection. For female participants, multivariable logistic regression analysis indicated that both smoking (OR: 0.03; 95% CI: 0.02-0.07) and alcohol consumption (OR: 0.20; 95% CI: 0.12-0.33) were inversely significantly associated with H. pylori infection after adjustment for age.

CONCLUSIONS

Smoking and alcohol consumption were risk factors for male participants but these were protective factors for female individuals with H. pylori infection.

The Lipid Paradox is present in ST-elevation but not in non-ST-elevation myocardial infarction patients: Insights from the Singapore Myocardial Infarction Registry

Lowering low-density lipoprotein (LDL-C) and triglyceride (TG) levels form the cornerstone approach of cardiovascular risk reduction, and a higher high-density lipoprotein (HDL-C) is thought to be protective. However, in acute myocardial infarction (AMI) patients, higher admission LDL-C and TG levels have been shown to be associated with better clinical outcomes - termed the 'lipid paradox'. We studied the relationship between lipid profile obtained within 72 hours of presentation, and all-cause mortality (during hospitalization, at 30-days and 12-months), and rehospitalization for heart failure and non-fatal AMI at 12-months in ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) patients treated by percutaneous coronary intervention (PCI). We included 11543 STEMI and 8470 NSTEMI patients who underwent PCI in the Singapore Myocardial Infarction Registry between 2008-2015. NSTEMI patients were older (60.3 years vs 57.7 years, p < 0.001) and more likely to be female (22.4% vs 15.0%, p < 0.001). In NSTEMI, a lower LDL-C was paradoxically associated with worse outcomes for death during hospitalization, within 30-days and within 12-months (all p < 0.001), but adjustment eliminated this paradox. In contrast, the paradox for LDL-C persisted for all primary outcomes after adjustment in STEMI. For NSTEMI patients, a lower HDL-C was associated with a higher risk of death during hospitalization but in STEMI patients a lower HDL-C was paradoxically associated with a lower risk of death during hospitalization. For this endpoint, the interaction term for HDL-C and type of MI was significant even after adjustment. An elevated TG level was not protective after adjustment. These observations may be due to differing characteristics and underlying pathophysiological mechanisms in NSTEMI and STEMI.

Association between hyperlipidemia and mortality after incident acute myocardial infarction or acute decompensated heart failure: a propensity score matched cohort study and a meta-analysis

OBJECTIVE

To examine the effect of HLP, defined as having a pre-existing or a new in-hospital diagnosis based on low density lipoprotein cholesterol (LDL-C) level ≥100 mg/dL during index hospitalisation or within the preceding 6 months, on all-cause mortality after hospitalisation for acute myocardial infarction (AMI) or acute decompensated heart failure (ADHF) and to determine whether HLP modifies mortality associations of other competing comorbidities. A systematic review and meta-analysis to place the current findings in the context of published literature.

DESIGN

Retrospective study, 1:1 propensity-score matching cohorts; a meta-analysis.

SETTING

Large academic centre, 1996-2015.

PARTICIPANTS

Hospitalised patients with AMI or ADHF.

MAIN OUTCOMES AND MEASURES

All-cause mortality and meta-analysis of relative risks (RR).

RESULTS

Unmatched cohorts: 13 680 patients with AMI (age (mean) 68.5 ± (SD) 13.7 years; 7894 (58%) with HLP) and 9717 patients with ADHF (age, 73.1±13.7 years; 3668 (38%) with HLP). In matched cohorts, the mortality was lower in AMI patients (n=4348 pairs) with HLP versus no HLP, 5.9 versus 8.6/100 person-years of follow-up, respectively (HR 0.76, 95% CI 0.72 to 0.80). A similar mortality reduction occurred in matched ADHF patients (n=2879 pairs) with or without HLP (12.4 vs 16.3 deaths/100 person-years; HR 0.80, 95% CI 0.75 to 0.86). HRs showed modest reductions when HLP occurred concurrently with other comorbidities. Meta-analyses of nine observational studies showed that HLP was associated with a lower mortality at ≥2 years after incident AMI or ADHF (AMI: RR 0.72, 95% CI 0.69 to 0.76; heart failure (HF): RR 0.67, 95% CI 0.55 to 0.81).

CONCLUSIONS

Among matched AMI and ADHF cohorts, concurrent HLP, compared with no HLP, was associated with a lower mortality and attenuation of mortality associations with other competing comorbidities. These findings were supported by a systematic review and meta-analysis.

Blood Microbiota Modification After Myocardial Infarction Depends Upon Low-Density Lipoprotein Cholesterol Levels

Background

The role of bacteria on the onset of cardiovascular disease has been suggested. Reciprocally, increased intestinal bacterial translocation and bloodstream infection are common comorbidities associated with heart failure and myocardial infarction (MI). In this context, the aim of this study was to analyze the blood microbiome in patients shortly after acute myocardial infarction.

Methods and Results

We carried out a case control study comparing 103 patients at high cardiovascular risk but free of coronary disease and 99 patients who had an MI. The blood microbiome was analyzed both quantitatively by 16S quantitative polymerase chain reaction and qualitatively by 16S targeted metagenomic sequencing specifically optimized for blood samples. A significant increase in blood bacterial 16S rDNA concentration was observed in patients admitted for MI. This increase in blood bacterial DNA concentration was independent of post‐MI left ventricular function and was more marked in patients with low‐density lipoprotein cholesterol ≥1 g/L. In addition, differences in the proportion of numerous bacterial taxa in blood were significantly modified with the onset of MI, thus defining a blood microbiota signature of MI. Among the bacterial taxa whose proportions are decreased in patients with MI, at least 6 are known to include species able to metabolize cholesterol.

Conclusions

These results could provide the basis for the identification of blood microbiome‐based biomarkers for the stratification of MI patients. Furthermore, these findings should provide insight into the mechanism underlying the negative correlation reported between low‐density lipoprotein cholesterol concentration and the prognosis at the acute onset of MI and mortality.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT02405468.

Usefulness of Calculation of Cardiovascular Risk Factors to Predict Outcomes in Patients With Acute Myocardial Infarction

Cardiovascular risk factors contribute differently to short-term prognosis of acute myocardial infarction (AMI); hypertension and diabetes increase adverse outcomes, whereas hyperlipidemia, smoking, and obesity seem to paradoxically decrease these in post-MI patients. We aimed to investigate whether a simple calculation of conventional risk factors, PARADOCS (Pressure of ARtery elevAtion, Diabetes, Obesity, Cholesterol, Smoking) score, would improve the ability to predict major adverse cardiac and cerebrovascular events (MACCEs) in post-MI patients. Between November 2011 and December 2015, 13,104 patients with diagnosis of AMI were analyzed in this study from Korean AMI Registry - National Institute of Health database. PARADOCS score was calculated as follows: (number of nonparadoxical risk factors - number of paradoxical risk factors) + 3 where nonparadoxical risk factors are hypertension and diabetes, and paradoxical risk factors are hyperlipidemia, smoking, and obesity. PARADOCS score was significantly greater in patients with 1-year MACCEs compared with those without MACCEs (3.43 ± 1.03 vs 2.88 ± 1.11, p <0.001). In Cox proportional hazards model, PARADOCS score was an independent predictor of 1-year MACCEs (hazards ratio 1.23, 95% confidence interval 1.16 to 1.30; p <0.001) after adjusting for confounding variables. In Kaplan-Meier survival curve, patients with greater PARADOCS score had worse clinical outcome. In conclusion, although it needs more validation, a simple calculation of risk factors, PARADOCS score, could provide useful prognostic information of MI patients to clinicians.

Prognostic value of lipid levels in short-term outcome after TAVI

BACKGROUND

A satisfactory risk score specific to transaortic valve implantation (TAVI) procedure is strongly needed for accurate assessment of postprocedural mortality and outcome. The purpose of this study was to investigate the association between certain clinical and laboratory parameters, particularly serum cholesterol levels, and major adverse cardiac events in patients who underwent TAVI.

METHOD

We retrospectively analyzed 119 patients who underwent TAVI at our institution between 2008 and 2016. The independent relationship between clinical and laboratory parameters and major adverse cardiac and cerebrovascular events (MACCE) was analyzed by regression analysis.

RESULTS

In all, 34 patients (28%) experienced MACCE during hospitalization and within 30 days of the procedure. Low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) levels were significantly lower in the MACCE(+) group compared with the MACCE(-) group (91.9 ± 38 vs. 110.8 ± 38.1 mg/dl, p = 0.01; 33.7 ± 7.3 vs. 38.1 ± 9.8 mg/dl, p = 0.02, respectively). In multivariate logistic regression analysis, age, white blood cell count (WBC), and lower levels of LDL-C and HDL-C were found to be independently correlated with MACCE in the study population. Receiver operating curve (ROC) analysis revealed that an LDL value higher than 71 mg/dl predicted MACCE with a sensitivity of 45.4% and a specificity of 91.8% (AUC: 0.814; p = 0.02).

CONCLUSION

This study suggests that lower serum LDL-C and HDL-C levels are independently associated with short-term MACCE in post-TAVI patients. Lower levels of LDL and HDL cholesterol may indicate a poor prognosis. Measurement of serum lipid levels might improve the preoperative risk assessment of potential TAVI candidates.

The Hypercholesterolemia Paradox in Percutaneous Coronary Intervention: An Analysis of a Multicenter PCI Registry

Objective The aim of this study was to assess the relationship between hypercholesterolemia (HC) and clinical events through a percutaneous coronary intervention (PCI) registry. HC is a well-known independent risk factor for long-term cardiovascular events after PCI. However, it has been reported to be associated with a lower risk of adverse events in patients with cancer or acute coronary syndrome. Methods We analyzed the relationship between HC and adverse events in patients treated with everolimus-eluting stents (EESs) through the Tokyo-MD PCI study (an all-comer, multicenter, observational registry). The propensity score method was applied to select two groups with similar baseline characteristics. Results The unadjusted population included 1,536 HC patients and 330 non-HC patients. Propensity score matching yielded 314 matched pairs. After baseline adjustment, the outcomes of HC patients were significantly better than those of the non-HC patients with respect to the primary endpoint, which was a combination of mortality from all causes, nonfatal myocardial infarction (MI), nonfatal neurological events, and major bleeding [hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.39-0.81; p=0.002], and the secondary endpoints, which included a combination of mortality from all causes, nonfatal MI, and nonfatal neurological events (HR 0.59, 95% CI 0.39-0.88; p=0.01), and major bleeding (HR 0.42, 95% CI 0.20-0.88; p=0.02). A subgroup analysis showed age as an interaction factor for the primary endpoint (interaction p=0.035). Conclusion HC was associated with better outcomes in patients who underwent EES implantation, even after baseline adjustment.

A Low Early High-density Lipoprotein Cholesterol Level Is an Independent Predictor of In-hospital Death in Patients with Acute Coronary Syndrome

Objective In patients with acute coronary syndrome (ACS), low high-density lipoprotein cholesterol (HDL-C) levels in samples collected after an overnight fast are diagnostic indicators and well-established predictors of adverse outcomes. However, the relationship between the HDL-C levels in samples collected just after arrival (early HDL-C) and in-hospital mortality remains unknown. The purposes of the present ACS study were to (1) evaluate the association between the early HDL-C levels of patients and in-hospital mortality and (2) compare the early HDL-C level with other well-known determinants associated with in-hospital mortality. Methods This retrospective study surveyed 638 consecutive ACS patients and then assessed the possible determinants of in-hospital mortality. All initial blood samples, including that for early HDL-C, were drawn within one hour of arrival. Results In the present study, the overall in-hospital mortality was 5.9%. A multivariable analysis showed that a low early HDL-C [odds ratio (OR) 2.53, 95% confidence interval (CI) 1.14-5.62], elevated troponin T (OR 4.40, 95% CI 1.26-15.29) and high Killip class (OR 15.41, 95% CI 7.29-32.59) were independent predictors of in-hospital mortality. A Kaplan-Meier survival analysis indicated that there the in-hospital outcome for the low early HDL-C group was significantly worse than that for the high early HDL-C group (age- and gender-adjusted hazard ratio 2.40, 95% CI 1.15-5.00, p=0.02). Conclusion ACS patients with low early HDL-C levels had higher in-hospital mortalities than those who did not have low early HDL-C levels. In addition to the already well-known determinants, low early HDL-C should also be considered as an independent predictor of in-hospital mortality in ACS patients who present to a cardiac care unit.

The triglyceride paradox in the mortality of coronary artery disease

Background

The role of triglyceride (TG) in secondary prevention of patients with coronary artery disease (CAD) was debated. In the present study, we assessed the association between admission TG levels and long-term mortality risk in CAD patients.

Methods

A retrospective analysis was conducted from a single registered database. 3061 consecutive patients with CAD confirmed by coronary angiography were enrolled and were grouped into 3 categories by the tertiles of admission serum TG levels. The primary end point in this study was all-cause mortality and the secondary end point was cardiovascular mortality.

Results

The mean follow-up time was 26.9 ± 13.6 months and death events occurred in 258 cases and cardiovascular death events occurred in 146 cases. Cumulative survival curves indicated that the risk of all-cause death decreased with increasing TG level (Tertile 1 vs. Tertile 2 vs. Tertile 3 = 10.3% vs. 8.6% vs. 6.3%, log rank test for overall p = 0.001). Cox regression analysis showed an independent correlation between TG level and risk of all-cause mortality [hazard ratio (HR) 0.71, 95% confidence interval (CI) 0.58–0.86] and cardiovascular mortality (HR 0.67, 95% CI 0.51–0.89) in total patients with CAD. Subgroup analysis found the similar results in patients with acute coronary syndrome and acute myocardial infarction.

Conclusions

This study found an inverse association between TG levels and mortality risk in CAD patients, which suggests that the “TG paradox” may exist in CAD patients.

Trial registration

ChiCTR, ChiCTR-OOC-17010433. Registered 17 February 2017 - Retrospectively registered.

A prediction model for hypoxemia during routine sedation for gastrointestinal endoscopy

OBJECTIVES

The current study was designed to assess the clinical predictors of hypoxemia and to develop a multivariable, predictive model for hypoxemia during routine gastrointestinal endoscopy.

METHODS

In total, 308 patients were enrolled in the analysis. Demographic data, concurrent chronic disease information, anesthetic dose and Modified Observer's Assessment of Alertness/Sedation (MOAA/S) scores were collected and analyzed statistically.

RESULTS

Multivariate logistic regression indicated that age (OR: 1.04; 95%CI 1.01-1.08), body mass index (BMI) (OR: 1.12; 95%CI: 1.02-1.21) and habitual snoring (OR: 3.71; 95%CI: 1.62-8.48) were independently associated with hypoxemia. A logistic regression function (LR model) was developed to predict hypoxemia considering the parameters of -7.73+0.04 age (years), +0.11 BMI, and +1.31 habitual snoring (yes or no). The area under the receiver operating characteristic (ROC) curve for the LR model was 0.76.

CONCLUSIONS

The LR model, consisting of age, BMI and habitual snoring, was a useful predictor of hypoxemia during routine sedation for gastrointestinal endoscopy.

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

BACKGROUND & AIMS

Aggressive lipid reduction is recommended for patients with AMI, but reverse epidemiology, the lipid paradox, has been reported in several clinical studies. The cause of lipid paradox remains uncertain, and nutrition is one possible explanation. In this single-center retrospective study, we investigated the relationships between baseline LDL concentrations and clinical outcomes in patients with AMI, stratified by different nutritional status.

METHODS

Totally 409 patients were enrolled for analysis. The Nutritional Risk Index (NRI) was used to estimate the risk of malnutrition. Subjects were grouped into tertiles according to their NRIs. Clinical outcomes were compared among patients with varying NRIs and LDL levels.

RESULTS

Patients in the lowest NRI tertile had increased incidences of in-hospital mortality, cardiogenic shock, decompensated heart failure, renal failure, and sepsis. This tertile was also associated with increased long-term mortality during the follow-up period of 832 ± 744 days. Mortality was increased among patients with baseline LDL concentrations ≤70 mg/dL in the lowest NRI tertile (log rank test, p = 0.0257), but not in the high or median tertiles. Moreover, baseline LDL level ≤70 mg/dL was an independent risk factor of all-cause mortality (adjusted hazard ratio = 1.73; 95% confidence interval, 1.01-2.94; p = 0.045) in the lowest NRI tertile.

CONCLUSIONS

Lipid paradox was observed in the high-risk of malnutrition population among patients with AMI. Aggressive lipid-lowering therapy is still recommended for patients with AMI and fair nutritional status. However, when treating patients at high risk of malnutrition, the improvement of nutritional status may be more beneficial than strict LDL control.

Lipid Paradox in Statin-Naïve Acute Ischemic Stroke But Not Hemorrhagic Stroke

Background: Low lipid level is associated with better cardiovascular outcome. However, lipid paradox indicating low lipid level having worse outcomes could be seen under acute injury in some diseases. The present study was designed to clarify the prognostic significance of acute-phase lipid levels within 1 day after admission for stroke on mortality in first-ever statin-naïve acute ischemic stroke (IS) and hemorrhagic stroke (HS). Methods: This observational study was conducted using the data collected from Stroke Registry In Chang-Gung Healthcare System (SRICHS) between 2009 and 2012. Patients with recurrent stroke, onset of symptoms >1 day, and history of the use of lipid-lowering agents prior to index stroke were excluded. Stroke was classified into IS and hypertension-related HS. The primary outcomes were 30-day and 1-year mortality identified by linkage to national death registry for date and cause of death. Receiver operating characteristic (ROC) curve analysis and multivariate Cox proportional hazard models were used to examine the association of lipid profiles on admission with mortality. Results: Among the 18,268 admitted stroke patients, 3,746 IS and 465 HS patients were eligible for analysis. In IS, total cholesterol (TC) <163.5 mg/dL, triglyceride (TG) <94.5 mg/dL, low-density lipoprotein (LDL) <100 mg/dL, non-high-density lipoprotein cholesterol (non-HDL-C) <130.5 mg/dL, and TC/HDL ratio <4.06 had significantly higher risk for 30-day/1-year mortality with hazard ratio (HR) of 2.05/1.37, 1.65/1.31, 1.68/1.38, 1.80/1.41, and 1.58/1.38, respectively, compared with high TC, TG, LDL, non-HDL-C, and TC/HDL ratio (p < 0.01 in all cases). In HS, lipid profiles were not associated with mortality, except HDL for 30-day mortality (p = 0.025) and high uric acid (UA) concentrations for 30-day and 1-year mortality (p = 0.002 and 0.012, respectively). High fasting glucose and high National Institute of Health Stroke Scale (NIHSS) score at admission were associated with higher 30-day and 1-year mortality in both IS and HS and low blood pressure only in IS (p < 0.05). Synergic effects on mortality were found when low lipids were incorporated with high fasting glucose, low blood pressure, and high NIHSS score in IS (p < 0.05). Conclusions: Lipid paradox showing low acute-phase lipid levels with high mortality could be seen in statin-naïve acute IS but not in HS. The mortality in IS was increased when low lipids were incorporated with high fasting glucose, low blood pressure, and high NIHSS score.

Potential Effectiveness of Chinese Patent Medicine Tongxinluo Capsule for Secondary Prevention After Acute Myocardial Infarction: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background: Chinese patent medicine Tongxinluo capsule (TXL) is commonly used for cardio-cerebrovascular diseases. Previous research had demonstrated that TXL exhibited great clinical effects on the treatment of acute myocardial infarction (AMI), however there is a lack of systematic review. The purpose of this study was to evaluate the potential effectiveness and safety of TXL for secondary prevention in patients with AMI. Method: We searched 6 databases to identify relevant randomized controlled trials (RCTs) from inceptions to December 30, 2017. Two review authors independently assessed the methodological quality and analyzed data by the RevMan 5.3 software. The publication bias was assessed through funnel plot and Begg's test. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used for evaluating the quality of evidence. Results: We included 19 RCTs in this review and performed a meta-analysis based on 16 studies. There were statistical differences of TXL treatment group in reducing primary cardiovascular events (cardiac death [RR = 0.27, 95%CI: 0.08~0.95, I2 = 0%], recurrent myocardial reinfarction [RR = 0.38, 95%CI: 0.20~0.74, I2 = 0%], arrhythmia [RR = 0.44, 95%CI: 0.30~0.66, I2 = 0%], recurrent angina pectoris [RR = 0.34, 95%CI: 0.17~0.69, I2 = 0%]). TXL could improve cardiac function (LVEF [MD = 4.10, 95%CI: 3.95~4.25, I2 = 0%]), regulate blood lipid TC [MD = -0.66, 95%CI: -0.94 ~ -0.37, I2 = 74%], TG [MD = -0.38, 95%CI: -0.62 ~ -0.14, I2 = 70%], LDL-C[-0.40, 95%CI: -0.65 ~ -0.16, I2 = 88%), decrease the level of hs-CRP (4-week: MD = -0.78, 95%CI: -0.97 ~ -0.60, I2 = 20%; Over 4-week: MD = -1.36, 95%CI: -1.55 ~ -1.17, I2 = 20%). However, TXL has little effects on revascularization [RR = 0.45, 95%CI: 0.13~1.56, I2 = 0%], recurrent heart failure (RR = 0.83, 95%CI: 0.27~2.57, I2 = 0%), and HDL-C (MD = 0.14, 95%CI: 0.00 ~0.29, I2 = 73%). Furthermore, TXL treatment group was more prone to suffer gastrointestinal discomfort. Conclusion: Chinese patent medicine TXL seemed beneficial for secondary prevention after AMI. This potential benefit needs to be further assessed through more rigorous RCTs. Systematic review registration number in the PROSPERO register: CRD42017068417.