Body mass index and hospital mortality in patients with acute coronary syndrome receiving care in a university hospital

The Prognostic Value of the Advanced Lung Cancer Inflammation Index for Major Cardiovascular and Cerebrovascular Events in Patients with Non-ST Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

Objectives: Our aim was to investigate whether admission advanced lung cancer inflammation index (ALI) values have a prognostic role on one-year major adverse cardiovascular and cerebrovascular events (MACCEs) in non-ST elevation myocardial infarction (NSTEMI) patients undergoing percutaneous coronary intervention (PCI). Methods: Our study consisted of 1173 consecutive patients aged 61.9 ± 12.5 years. The study population was divided into two groups according to the occurrence of MACCEs. BMI (body mass index), serum albumin levels and NLR (neutrophil to lymphocyte ratio) of patients were collected from hospital records, and ALI was calculated based on the following formula: BMI × serum albumin/NLR. We also calculated neutrophil to lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CAR) and uric acid to albumin ratio (UAR) and investigated the association of these inflammation-based biomarkers with one-year MACCEs. Results: During the 12-month follow-up period, 158 (13.5%) patients had MACCEs, 55 (4.7%) of whom had all-cause mortality, 96 (8.2%) had nonfatal MI and 7 (0.6%) had nonfatal stroke. Patients with MACCEs had significantly lower ALI (p < 0.001), and also ALI (area under the curve [AUC] = 0.658, p < 0.001) had better discriminatory power and predictive accuracy in determining one-year MACCEs compared to albumin (AUC = 0.594, p < 0.001), NLR (AUC = 0.631, p < 0.001), CAR (AUC = 0.595, p < 0.001) and UAR (AUC = 0.577, p = 0.001) in the ROC analysis. Individuals with an ALI value lower than 43.9 were at greater risk of developing MACCEs (p < 0.001) due to the Delong test. Conclusions: Determining the level of ALI may have the potential to improve risk prognostication in NSTEMI patients undergoing revascularization therapy.

Risk factors and inflammatory markers in acute coronary syndrome-ST elevation myocardial infarction (STEMI)

OBJECTIVES

The increasing prevalence of coronary artery disease [CAD] poses worrying statistics. Atherosclerosis of coronary vessels is the main culprit for the spectrum of CAD especially acute coronary syndrome. Atherosclerosis is regarded as a consequence of inflammatory changes in the coronaries. Our study aimed to assess the role of risk factors and inflammatory markers with acute ST-elevation myocardial infarction [STEMI].

METHODS

100 patients with ST-elevation Myocardial infarction [STEMI] and 100 age and sex matched controls were included in the study. A history of risk factors like smoking, hypertension, diabetes and hypertension was noted. A venous blood sample was obtained for analysis of inflammatory markers. The data thus obtained was statistically analyzed.

RESULTS

The cases had a significant number of risk factors such as smoking, hypertension, and diabetes mellitus, previous history of CAD, increased body mass index [BMI], and raised high sensitive C-reactive protein [hs-CRP]. Patients with anterior myocardial infarction were older and had hypertension and diabetes mellitus. Patients with inferior myocardial infarction had high BMI, raised erythrocyte sedimentation rate [ESR] and alcoholism. Smokers, patients with diabetes mellitus, high total cholesterol, Low-density lipoprotein [LDL] cholesterol, and hs-CRP were more prone to complications.

CONCLUSIONS

Patients with a greater number of risk factors and raised inflammatory markers were at high risk of STEMI and its complications. An approach to control the modifiable risk factors like obesity and lifestyle changes can reduce the disease burden.

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

Background

The protective effect of obesity in patients with acute coronary syndrome undergoing percutaneous coronary intervention or bypass surgery has been described as the obesity paradox in the literature.

Aims

In this comprehensive meta-analysis, we aimed to investigate the pooled effect of the obesity paradox on mortality in acute coronary syndrome patients.

Study Design

Systemic meta-analysis and metaregression.

Methods

We searched PubMed, Google Scholar, and the Cochrane Library for eligible studies that compared the mortality rates between body mass index cut-off points in acute coronary syndrome patients. This meta-analysis comprised 54 studies with 534,903 patients. Random- and fixed-effect models were used to calculate pooled effects sizes in the presence of moderately high and low heterogeneity between studies, respectively. A metaregression analysis was used to detect possible causes of heterogeneity. A dose-response meta-analysis was also conducted to detect the association between mortality risk and body mass index.

Results

Overweight patients had lower mortality risk for 30-day (RR =0.69; 0.62-0.76, p < 0.01) and long-term (RR =0.73; 0.70-0.77, p < 0.01) mortality than normal-weight patients. The 30-day mortality risk was higher in low-weight patients than in normal-weight patients (RR =1.74; 1.39-2.18, p < 0.01). Meta-regression could not explain the possible causes of between-study heterogeneity. Patients with body mass index <21.5 kg/m² and >40 kg/m² had a higher risk of mortality, which was lowest at approximately 30 kg/m².

Conclusion

Low-weight and overweight acute coronary syndrome patients had higher mortality risk than normal-weight patients. A U-shaped nonlinear association was detected between body mass index and mortality risk.

Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study

Objectives

Hospitalized patients with severe obesity require adapted hospital management. The aim of this study was to evaluate a machine learning model to predict in-hospital mortality among this population.

Methods

Data of unselected consecutive emergency department admissions of hospitalized patients with severe obesity (BMI ≥ 40 kg/m2) was analyzed. Data was retrieved from five hospitals from the Mount Sinai health system, New York. The study time frame was between January 2011 and December 2019. Data was used to train a gradient-boosting machine learning model to identify in-hospital mortality. The model was trained and evaluated based on the data from four hospitals and externally validated on held-out data from the fifth hospital.

Results

A total of 14,078 hospital admissions of inpatients with severe obesity were included. The in-hospital mortality rate was 297/14,078 (2.1%). In univariate analysis, albumin (area under the curve [AUC] = 0.77), blood urea nitrogen (AUC = 0.76), acuity level (AUC = 0.73), lactate (AUC = 0.72), and chief complaint (AUC = 0.72) were the best single predictors. For Youden's index, the model had a sensitivity of 0.77 (95% CI: 0.67-0.86) with a false positive rate of 1:9.

Conclusion

A machine learning model trained on clinical measures provides proof of concept performance in predicting mortality in patients with severe obesity. This implies that such models may help to adopt specific decision support tools for this population.

Obesity as a mortality risk factor in the medical ward: a case control study

BACKGROUND

Research regarding the association between severe obesity and in-hospital mortality is inconsistent. We evaluated the impact of body mass index (BMI) levels on mortality in the medical wards. The analysis was performed separately before and during the COVID-19 pandemic.

METHODS

We retrospectively retrieved data of adult patients admitted to the medical wards at the Mount Sinai Health System in New York City. The study was conducted between January 1, 2011, to March 23, 2021. Patients were divided into two sub-cohorts: pre-COVID-19 and during-COVID-19. Patients were then clustered into groups based on BMI ranges. A multivariate logistic regression analysis compared the mortality rate among the BMI groups, before and during the pandemic.

RESULTS

Overall, 179,288 patients were admitted to the medical wards and had a recorded BMI measurement. 149,098 were admitted before the COVID-19 pandemic and 30,190 during the pandemic. Pre-pandemic, multivariate analysis showed a "J curve" between BMI and mortality. Severe obesity (BMI > 40) had an aOR of 0.8 (95% CI:0.7-1.0, p = 0.018) compared to the normal BMI group. In contrast, during the pandemic, the analysis showed a "U curve" between BMI and mortality. Severe obesity had an aOR of 1.7 (95% CI:1.3-2.4, p < 0.001) compared to the normal BMI group.

CONCLUSIONS

Medical ward patients with severe obesity have a lower risk for mortality compared to patients with normal BMI. However, this does not apply during COVID-19, where obesity was a leading risk factor for mortality in the medical wards. It is important for the internal medicine physician to understand the intricacies of the association between obesity and medical ward mortality.

Influence of Overweight and Obesity on Morbidity and Mortality among Hospitalized Patients in Sri Lanka: A Single-Center Analysis

BACKGROUND

Current evidence regarding the association between overweight and obesity and in-hospital morbidity and mortality is inconsistent and South Asian populations are underrepresented.

METHODS

Data relevant to anthropometry, hospital outcomes, complications, and medical diagnoses of all acute medical admissions to the National Hospital of Sri Lanka were collected over a period of 3 months. Analysis was performed with WHO international (ICs) and Asian obesity cut-offs (ACs).

RESULTS

Sample size was 2,128 (median age: 57 years [IQR: 42, 67], males: 49.7%). High prevalence of overweight (23.5%), generalized obesity (10.4%), central obesity (28.5%), and underweight (15.4%) was observed (ICs). Patients with either generalized or central obesity had significantly higher in-hospital mortality (4.8% versus 2.5%, p = 0.031) and acute kidney injury (AKI) (3.9% versus 1.2%) (p = 0.001) compared to normal weight. With ACs, overweight and obesity prevalence increased, without any significant increment in morbidity and mortality, but median length of hospital stay was significantly reduced in patients with generalized obesity compared to normal (3 [IQR: 2, 5] versus 4 [IQR: 2, 6], p = 0.014). Infections (44.4%) and cardiovascular diseases (CVDs) (25.9%) were the most common causes of admission. Overweight and generalized obesity or central obesity were associated with increased prevalence of acute CVDs and CVD risk factors and lower prevalence of acute infections, whilst underweight showed an inverse association.

CONCLUSION

A double burden of malnutrition and diseases were noted among hospital admissions, with obesity being a risk factor for in-hospital all-cause mortality and AKI. Overweight and obesity were associated with increased CVDs and reduced infections. Larger prospective studies are required to characterize these associations among South Asians.

Comorbidity burden and revascularization benefit in elderly patients with acute coronary syndrome

INTRODUCTION AND OBJECTIVES

To evaluate the interaction between comorbidity burden and the benefits of in-hospital revascularization in elderly patients with non-ST-segment elevation acute coronary syndrome (NSTEACS).

METHODS

This retrospective study included 7211 patients aged ≥ 70 years from 11 Spanish NSTEACS registries. Six comorbidities were evaluated: diabetes, peripheral artery disease, cerebrovascular disease, chronic pulmonary disease, renal failure, and anemia. A propensity score was estimated to enable an adjusted comparison of in-hospital revascularization and conservative management. The end point was 1-year all-cause mortality.

RESULTS

In total, 1090 patients (15%) died. The in-hospital revascularization rate was 60%. Revascularization was associated with lower 1-year mortality; the strength of the association was unchanged by the addition of comorbidities to the model (HR, 0.61; 95%CI, 0.53-0.69; P=.0001). However, the effects of revascularization were attenuated in patients with renal failure, peripheral artery disease, and chronic pulmonary disease (P for interaction=.004, .007, and .03, respectively) but were not modified by diabetes, anemia, and previous stroke (P=.74, .51, and .28, respectively). Revascularization benefits gradually decreased as the number of comorbidities increased (from a HR of 0.48 [95%CI, 0.39-0.61] with 0 comorbidities to 0.83 [95%CI, 0.62-1.12] with ≥ 5 comorbidities; omnibus P=.016). The results were similar for the propensity score model. The same findings were obtained when invasive management was considered the exposure variable.

CONCLUSIONS

In-hospital revascularization improves 1-year mortality regardless of comorbidities in elderly patients with NSTEACS. However, the revascularization benefit is progressively reduced with an increased comorbidity burden. Renal failure, peripheral artery disease, and chronic lung disease were the comorbidities with the most detrimental effects on revascularization benefits.

Body mass index and mortality after acute coronary syndromes: a systematic review and meta-analysis

OBJECTIVE

The association between body mass index (BMI) and mortality after acute coronary syndromes (ACS) is controversial. The objective of this analysis is to summarize the available evidence of this association and perform meta-analysis using adjusted estimates.

METHODS AND RESULTS

Systematic review from MEDLINE and EMBASE through May 2015 was performed. Studies were considered eligible if they described the association between BMI and all-cause mortality after ACS, and those reporting adjusted estimates were included in the meta-analysis. We included 35 articles with 316,455 participants, with overall poor to moderate quality. No study reported that overweight, type-I or type-II obesity was related to an increased risk of mortality compared to normal weight. Pooled adjusted estimates from 18 studies (137,975 participants) showed lower adjusted mortality both overweight (RR: 0.83; 95% CI: 0.75-0.91; p < .001; I² 51%) and obese (RR: 0.79; 95% CI: 0.71-0.88; p < .001; I² 33%) categories when compared to normal weight. Heterogeneity was not explained in pre-specified subgroups analysis.

CONCLUSIONS

Increased BMI was associated with increased adjusted survival after ACS when compared to normal BMI. Unexplained heterogeneity and suboptimal quality of studies limit the strength of the results. This seemingly paradoxical finding needs to be confirmed with further research.

“Obesity paradox” in coronary artery disease

Obesity used to be among the more neglected public health problems, but has unfolded as a growing medical and socioeconomic burden of epidemic proportions. Morbid obesity is linked to traditional cardiovascular risk factors like, hypertension, hyperlipidemia and diabetes, and suspected to incur increased morbidity and mortality in the Western and even third world populations. This patient cohort is also at greater risk to develop coronary artery disease. Recent population-based registries revealed that 43% and 24% of all cases of coronary revascularization were carried out in overweight and obese patients, respectively. However, despite evidence of a positive correlation between obesity and increased cardiovascular morbidity, some authors have described a better clinical outcome in overweight and obese patients, a phenomenon they coined “obesity paradoxon”. Thus, there is an ongoing debate in light of conflicting data and the possibility of confounding bias causing misconception and challenging the “obesity paradox”. In this review article we present the current evidence and throughly discuss the validity of the “obesity paradoxon” in a variety of clinical settings.

The obesity paradox in acute coronary syndrome: a meta-analysis

In the general population, the lowest mortality risk is considered to be for the body mass index (BMI) range of 20-24.9 kg/m(2). In chronic diseases (chronic kidney disease, chronic heart failure or chronic obstructive pulmonary disease) the best survival is observed in overweight or obese patients. Recently above-mentioned phenomenon, called obesity paradox, has been described in patients with coronary artery disease. Our aim was to analyze the relationship between BMI and total mortality in patients after acute coronary syndrome (ACS) in the context of obesity paradox. We searched scientific databases for studies describing relation in body mass index with mortality in patients with ACS. The study selection process was performed according to PRISMA statement. Crude mortality rates, odds ratio or risk ratio for all-cause mortality were extracted from articles and included into meta-analysis. 26 studies and 218,532 patients with ACS were included into meta-analysis. The highest risk of mortality was found in Low BMI patients--RR 1.47 (95 % CI 1.24-1.74). Overweight, obese and severely obese patients had lower mortality compared with those with normal BMI-RR 0.70 (95 % CI 0.64-0.76), RR 0.60, (95 % CI 0.53-0.68) and RR 0.70 (95 % CI 0.58-0.86), respectively. The obesity paradox in patients with ACS has been confirmed. Although it seems to be clear and quite obvious, outcomes should be interpreted with caution. It is remarkable that obese patients had more often diabetes mellitus and/or hypertension, but they were younger and had less bleeding complications, which could have influence on their survival.