Effect of the Obesity Paradox on Mortality in Patients with Acute Coronary Syndrome: A Comprehensive Meta-analysis of the Literature

Association of anthropometric and obesity indices with abnormal blood lipid levels in young and middle-aged adults

Introduction

Obesity is a known risk factor for dyslipidemia. We aimed to evaluate the association between nine obesity indices and various types of abnormal lipid levels in the young and middle-aged.

Methods

From July to November 2022, we distributed health survey questionnaires to the target population in the hospital and collected their biochemical and anthropometric data. Multivariate regression models and Receiver operating characteristic (ROC) curve analysis were used for data analyzing.

Results

We collected a total of 1174 complete samples. Among the five blood lipid indexes tested in this study, TG (triglyceride) is most closely related to various body measurements (P < 0.05). WC (Waist circumference) has the greatest risk for abnormal TG levels (OR, 2.61; P < 0.001) and high-density lipoprotein cholesterol (HDL-C) levels(OR, 1.96; P < 0.001).WHR has the greatest risk of abnormal low-density lipoprotein cholesterol (LDL-C) levels (OR, 1.35; P < 0.05) and non-high-density lipoprotein cholesterol levels(OR, 1.59; P < 0.001). ROC curve analyses revealed that all the tested variables gave the highest area under the curve (AUC) values for predicting high TG in comparison to other plasma lipid abnormalities. The AUC of WC, AVI and BMI were 0.81, 0.80 and 0.79 respectively.

Conclusion

Specific obesity-related anthropometric measurements, including WC, AVI, and WHR, show improved predictive accuracy in identifying abnormal lipid levels across diverse types. This study supports their effectiveness in early dyslipidemia screening among young and middle-aged individuals.

Bodyweight affects mortality in an L-shape pattern in patients undergoing coronary bypass grafting

BACKGROUND

The role of body composition as a risk factor for adverse outcomesduring coronary artery bypass surgery (CABG) has been controversial. The goal of this study was to evaluate the effect of body weight on mortality in patients undergoing CABG.

METHOD

Using a large NIS database and ICD-10 coding for different bodyweight categories, we evaluated the effect of cachexia, overweight, obesity, and morbid obesity on in-hospital mortality after CABG.  We evaluated the available database containing ICD10 coding from 2016- 2020.

RESULTS

We found that cachexia was the strongest independent predictor of in-hospital mortality whereas obesity had a protective effect. Over the 4-year sample size, patients with cachexia had nearly a 4-fold increase in mortality compared to patients with normal weight despite adjusting for age and comorbidities (4.06 CI 2.7-6.0, p < 0.001). Patients with overweight and Obesity had the lowest mortality (OR = 0.44 CI 0.29-0.66, OR = 0.58 CI 0.52-0.63, p, 001). However, the mortality benefit disappeared in patients with morbid obesity (OR 0.9, CI 0.84-1.03, p = 0.15) with a trend of higher mortality in patients with morbid obesity after multivariate adjustment.

CONCLUSION

Cachexia is a powerful predictor for in-hospital mortality in patients undergoing CABG. Overweight and obesity have protective effect which disappears with morbid obesity.

Association of combined body mass index and central obesity with cardiovascular disease in middle-aged and older adults: a population-based prospective cohort study

BACKGROUND

Cardiovascular diseases (CVDs) pose a significant threat to public health. Evidence indicates that the combination of central obesity and normal body mass index (BMI) is associated with an increased risk of cardiovascular disease and mortality. However, limited evidences exists in middle aged and elderly adults in China.

METHODS

This was a prospective cohort study that utilized a nationally representative sample of 6,494 adults aged 45 years and above. These individuals participated in the China Health and Retirement Longitudinal Study spanning from 2011 to 2018. Height, weight and waist circumference (WC) were measured, and BMI was calculated by height and weight. Other variables were obtained through self-reported questionnaires. Association analysis was conducted using Cox proportional hazard regression models.

RESULTS

A total of 10,186 participants were investigated, with 57,185 person-years of follow-up. During this period, 1,571 CVDs occurred, including 1,173 heart diseases and 527 strokes. After adjusting for various factors including age, gender, education, marital status, smoking status, alcohol intake, social activity, hypertension, dyslipidemia, diabetes, cancer, chronic lung diseases, liver disease, kidney disease, digestive disease, ENP(emotional, nervous, or psychiatric problems), memory related disease, arthritis or rheumatism, asthma, self-rated health and depression, the results revealed that compared to those with normal WC normal body mass index (BMI), individuals with central obesity normal BMI had a 27.9% higher risk of CVD incidence (95% confidence interval [CI]:1.074-1.524), and a 33.4% higher risk of heart disease incidence (95% CI:1.095-1.625), while no significant association was found with stroke. Additionally, those with normal WC high BMI showed a 24.6% higher risk of CVD incidence (95% CI:1.046-1.483), and a 29.1% higher risk of heart disease incidence (95% CI:1.045-1.594), again with no significant association with stroke. Finally, individuals with central obesity high BMI exhibited a 49.3% higher risk of CVD incidence (95% CI:1.273-1.751), a 61% higher risk of heart disease incidence (95% CI:1.342-1.931), and a 34.2% higher risk of stroke incidence (95% CI:1.008-1.786). Age- and sex- specific analyses further revealed varying trends in these associations.

CONCLUSIONS

We discovered that the combined association of body mass index(BMI) and central obesity with CVD incidence exhibited a significantly enhanced predictive value. Specifically, a high BMI with central obesity was notably linked to an increased risk of CVD incidence. Additionally, central obesity with a normal BMI or a normal WC coupled with a high BMI significantly augmented the risk of heart disease incidence, but not stroke. Notably, male and middle-aged adults demonstrated a greater propensity for heart disease incidence. Our study underscores the importance of maintaining an optimal BMI and preventing abdominal obesity in promoting cardiovascular health.

The Effect of Obesity on Repolarization and Other ECG Parameters

Background: Overweight and obesity are important risk factors in the development of cardiovascular diseases. New repolarization markers, such as the Tpeak-Tend interval and JTpeak intervals, have not yet been profoundly studied in obese patients. The study aims to analyze whether, in patients with obesity and overweight, repolarization markers, including the Tpeak-Tend interval, are prolonged and simultaneously check the frequency of other ECG pathologies in a 12-lead ECG in this group of patients. Methods: A study group consisted of 181 adults (90 females and 91 males) with overweight and first-class obesity. The participants completed a questionnaire, and the ECG was performed and analyzed. Results: When analyzing the classic markers, only QT dispersion was significantly higher in obese people. The Tpeak-Tend parameter (97.08 ms ± 23.38 vs. 89.74 ms ± 12.88, respectively), its dispersion, and JTpeak-JTend parameters were statistically significantly longer in the obese group than in the controls. There were also substantial differences in P-wave, QRS duration, and P-wave dispersion, which were the highest in obese people. Tpeak-Tend was positively correlated with body mass and waist circumference, while JTpeak was with BMI, hip circumference, and WHR. Tpeak/JT was positively correlated with WHR and BMI. In backward stepwise multiple regression analysis for JTpeak-WHR, type 2 diabetes and smoking had the highest statistical significance. Conclusions: Only selected repolarization markers are significantly prolonged in patients with class 1 obesity and, additionally, in this group, we identified more pathologies of P wave as well as prolonged QRS duration.

Obesity Paradox in Patients with Acute Coronary Syndrome: Is Malnutrition the Answer?

BACKGROUND

Obesity paradox has been reported in patients with cardiovascular disease, showing an inverse association between obesity as defined by BMI (in kg/m2) and prognosis. Nutritional status is associated with systemic inflammatory response and affects cardiovascular disease outcomes.

OBJECTIVES

This study sought to examine the influence of obesity and malnutrition on the prognosis of patients with acute coronary syndrome (ACS).

METHODS

This study included consecutive patients diagnosed with ACS and underwent coronary angiogram between January 2009 and February 2023. At baseline, patients were categorized according to their BMI as follows: underweight (<18), normal weight (18-24.9), overweight (25.0-29.9), and obese (>30.0). We assessed the nutritional status by Prognostic Nutritional Index (PNI). Malnutrition was defined as a PNI value of <38.

RESULTS

Of the 21,651 patients with ACS, 582 (2.7%) deaths from any cause were observed over 28.7 months. Compared with the patient's state of normal weight, overweight, and obesity were associated with decreased risk of all-cause mortality. Malnutrition was independently associated with poor survival (hazards ratio: 2.64; 95% CI: 2.24, 3.12; P < 0.001). In malnourished patients, overweight and obesity showed a 39% and 72% reduction in the incidence of all-cause mortality, respectively. However, in nourished patients, no significant reduction in the incidence of all-cause mortality was observed (all P > 0.05).

CONCLUSIONS

Obesity paradox appears to occur in patients with ACS. Malnutrition may be a significant independent risk factor for prognosis in patients with ACS. The obesity paradox is influenced by the status of malnutrition.

Association of Body Mass Index with Outcomes in Patients with Atrial Fibrillation: Analysis from the (JoFib) Registry

Background

Atrial fibrillation (AF) accounts for the majority of arrhythmias affecting adults. It is associated with an increased mortality and various complications. Obesity being a major risk factor of cardiovascular and metabolic diseases including AF has always been connected to the overall burden of AF, but its role in the development of AF complications remains unclear. Our study aims to evaluate the impact of obesity on the complications of AF in Jordanian patients to establish a proper prognosis since studies regarding this topic in the Middle East are scant.

Methods

This study analyzed data from the Jordanian AF study (JoFib), which enrolled Jordanians with AF. Clinical characteristics were compared among patients who developed complications and those who did not. A binary logistic regression analysis was conducted to identify factors associated with AF complications development.

Results

1857 patients were enrolled. There was no significant difference in BMI value between patients who developed complications and those who did not. Male sex, old age, hypertension, diabetes mellitus, and higher risk scores were associated with increased odds of developing complications. The oral anticoagulant use was found to be protective. Smoking had no significant effect on odds of complications.

Conclusion

The study concludes that increased BMI is not significantly associated with a reduced risk of developing AF complications. Further research with longer follow-up and larger sample sizes is needed to confirm these results.

A synergistic impact of body mass index and gamma gap on heart failure and mortality rate among older patients with coronary artery disease: a prospective study with 10-year follow-up

PURPOSE

This prospective study with 10-year follow-up aimed to analyze potential impact of body mass index (BMI) and gamma gap on heart failure and mortality rate in older patients with coronary artery disease (CAD).

METHODS

There were 987 consecutive older patients with CAD included and divided into four groups according to BMI and gamma gap levels.

RESULTS

Median age was 86 years. The highest proportion of heart failure (46.2%) and the highest mortality rate (84.4%) was observed in patients with low BMI and high gamma gap, whereas the lowest proportion of heart failure (18.9%) and the lowest mortality rate (62.9%) was observed in those with high BMI and low gamma gap. After full adjustment in multivariate Logistic regression analysis, heart failure was most common in patients with low BMI and high gamma gap compared with those with high BMI and low gamma gap (hazard ratio [HR]: 2.82, 95% confidence interval [CI]: 1.79-4.48, P < 0.05). Meanwhile, multivariate Cox regression analysis showed that mortality rate was the highest in those with low BMI and high gamma gap compared with patients with high BMI and low gamma gap (HR: 1.65, 95% CI: 1.32-2.07, P < 0.05).

CONCLUSION

The combination of low BMI and high gamma gap could further promote heart failure and increase mortality rate in older patients with CAD. Future studies should explore the underlying mechanisms linking low BMI, high gamma gap, and mortality rate, as well as the potential benefits of nutritional and immunological interventions to improve health prognosis in older patients with CAD.

Sex-related differences in the impact of nutritional status on in-hospital mortality in acute coronary syndrome: A retrospective cohort study

BACKGROUND AND AIMS

In patients with some cardiovascular disease conditions the result of Nutritional Risk Screening 2002 (NRS-2002) and body mass index (BMI) is related to the in-hospital mortality. The aim of this study was to assess the prognostic impact of BMI and NRS 2002 on in-hospital mortality among patients with acute myocardial infarction (AMI) in relation to sex.

METHODS AND RESULTS

The study was based on a retrospective analysis of 945 medical records of AMI patients admitted to the Cardiology Department between 2017 and 2019. Patients with a score NRS2002 ≥ 3 are considered to be nutritionally at risk. The WHO BMI criteria were used. The endpoint was in-hospital mortality. Logistic regression was used to analyse the impact of quantitative variables on dichotomous outcome. Odds ratios (OR) with 95% confidence intervals were reported. Female patients were significantly older than male patients (73.24 ± 11.81 vs 67 ± 11.81). In an unadjusted model, the risk of malnutrition was a significant predictor of the odds of in-hospital mortality only in female patients (OR = 7.51, p = 0.001). In a multivariate model adjusted by all variables, heart failure (HF) (OR = 8.408, p = 0.003) and the risk of malnutrition (OR = 6.555, p = 0.007) were independent predictors of the odds of in-hospital mortality in female patients. The only significant independent predictor of the odds of in-hospital mortality in male patients was HF (OR = 3.789 p = 0.006).

CONCLUSIONS

Only in the case of female patients with AMI, the risk of malnutrition was independently associated with the odds of in-hospital mortality. There was no effect of BMI on in-hospital mortality in both sexes.

Cardiovascular protective effect of sodium-glucose cotransporter 2 inhibitors on patients with acute coronary syndrome and type 2 diabetes mellitus: a retrospective study

BACKGROUND

Acute coronary syndrome (ACS) remains the leading cause of death and disability worldwide, especially when combined with type 2 diabetes mellitus (T2DM). Many multicenter randomized controlled trials have established the cardiovascular benefits of Sodium-Glucose cotransporter 2 inhibitors (SGLT-2i) in patients with T2DM at high cardiovascular risk. However, these studies did not include patients in the early stages of acute coronary events. This study investigated the cardiovascular protective effects of SGLT-2i in patients with ACS and T2DM.

METHODS

A total of 232 hospitalized patients with ACS and T2DM were enrolled and divided into two groups based on their hypoglycemic drug treatment: the SGLT-2i and the non-SGLT-2i groups. Kaplan-Meier analysis and Cox regression were used to compare adverse cardiovascular outcomes in both groups.

RESULTS

There were no significant differences in the hospital clinical outcomes between the SGLT-2i and non-SGLT-2i groups. The adverse cardiovascular outcomes did not significantly differ between both groups (hazard ratio (HR) 0.66, 95% confidence interval (CI) 0.35-1.25, P = 0.195). Moreover, the rehospitalization rates for ACS or heart failure (HF) were not significantly different between both groups (adjusted HR 0.56, 95%CI 0.28-1.10, P = 0.093). When analyzed separately, there was no significant difference in rehospitalizations for ACS (HR 0.87, 95% CI 0.40-1.87, P = 0.713). However, the SGLT-2i group showed lower rates of rehospitalizations for HF (adjusted HR 0.20, 95% CI 0.04-0.96, P = 0.045). Additionally, there was no significant difference in cardiovascular mortality between both groups (HR 1.75, 95% CI 0.28-10.97, P = 0.543). Notably, the SGLT-2i group exhibited a higher angina symptom control rate than the non-SGLT-2i group (adjusted odd ration (OR) 0.45, 95%CI 0.21-0.93, P = 0.031).

CONCLUSION

In recently diagnosed patients with ACS, who have T2DM, early initiation of SGLT-2i was associated with a lower risk of rehospitalization for HF and a higher rate of angina symptom control.

Depression Following Acute Coronary Syndrome: A Review

Depression is common among patients with acute coronary syndrome (ACS). Although multiple studies have confirmed that depression is an independent risk factor for poor outcomes in ACS, general awareness of this issue is still limited. Ongoing research has described detailed aspects of depression in ACS, with various mechanistic hypotheses put forward to explain the complexity of this comorbidity. Several investigations have explored management strategies in this subgroup of patients, including screening for depression, antidepressant treatment, and cardiac rehabilitation. However, evidence of long-term improvement in clinical outcomes is still scarce, and a more comprehensive understanding of the underlying mechanisms that link depression with ACS is required to further improve disease management.