Outcomes of Surgical Versus Transcatheter Aortic Valve Replacement in Obese Patients: A Systematic Review and Meta-Analysis

Transcatheter aortic valve implantation (TAVI) has been increasingly preferred over surgical aortic valve replacement (SAVR) for treating patients with severe aortic stenosis and intermediate to high surgical risk. Recent studies have indicated that obesity may confer protective benefits in cardiac surgery, known as the obesity paradox. We conducted a systematic review and meta-analysis to explore how obesity influences outcomes of TAVI versus SAVR. We searched and reviewed relevant studies comparing TAVI and SAVR in obese patients with aortic stenosis indexed in PubMed, Embase, and Scopus databases. Data from 5 studies with 16,161 patients (TAVI, n = 2951; SAVR, n = 13,210) were included. There was a lower incidence of postprocedural in-hospital mortality [risk ratio (RR), 0.64; 95% confidence interval (CI), 0.41-0.98; P = 0.04], acute kidney injury (RR, 0.53; 95% CI, 0.38-0.73; P = 0.0001), and shorter duration of in-hospital stay (mean difference: -3.35; 95% CI, -4.93 to -1.76; P = 0.0001) in TAVI versus SAVR. There was no significant difference in the risk of postoperative stroke (RR, 0.93; 95% CI, 0.29-3.02; P = 0.91), major bleeding (RR, 0.71; 95% CI, 0.47-1.07; P = 0.10), and myocardial infarction (RR, 0.64; 95% CI, 0.39-1.06; P = 0.08) between TAVI and SAVR. Higher incidences of PPM implantation (RR, 2.0; 95% CI, 1.38-2.90; P = 0.0003) and major vascular complications (RR, 1.51; 95% CI, 1.01-2.27; P = 0.05) were observed with TAVI. In obese patients, TAVI offers similar results as in the general population when compared with SAVR, except for increased vascular complications. An individualized approach can lead to optimal outcomes in this subpopulation.

Epicardial adipose tissue and muscle distribution affect outcomes in very old patients after transcatheter aortic valve replacement

Aims

To analyse the relevance of body composition and blood markers for long-term outcomes in very old patients after transcatheter aortic valve replacement (TAVR).

Methods and results

A total of 403 very old patients were characterized with regard to subcutaneous, visceral, and epicardial fat, psoas muscle area, plasma growth differentiation factor 15 (GDF-15), and leptin. Cohorts grouped by body mass index (BMI) were analysed for long-term outcomes. Patients underwent transapical and transfemoral TAVR (similar 30-day/1-year survival). Body mass index >35 kg/m2 showed increased 2- and 3-year mortality compared with BMI 25-34.9 kg/m2 but not compared with BMI <25 kg/m2. Fat areas correlated positively to BMI (epicardial: R 2 = 0.05, P < 0.01; visceral: R 2 = 0.20, P < 0.001; subcutaneous: R 2 = 0.13, P < 0.001). Increased epicardial or visceral but not subcutaneous fat area resulted in higher long-term mortality. Patients with high BMI (1781.3 mm2 ± 75.8, P < 0.05) and lean patients (1729.4 ± 52.8, P < 0.01) showed lower psoas muscle area compared with those with mildly elevated BMI (2055.2 ± 91.7). Reduced psoas muscle area and increased visceral fat and epicardial fat areas were independent predictors of long-term mortality. The levels of serum GDF-15 were the highest in BMI >40 kg/m2 (2793.5 pg/mL ± 123.2) vs. BMI <25 kg/m2 (2017.6 pg/mL ±130.8), BMI 25-30 kg/m2 (1881.8 pg/mL ±127.4), or BMI 30-35 kg/m2 (2054.2 pg/mL ±124.1, all P < 0.05). Increased GDF-15 level predicted mortality (2587 pg/mL, area under the receiver operating characteristic curve 0.94). Serum leptin level increased with BMI without predictive value for long-term mortality.

Conclusion

Morbidly visceral and epicardial fat accumulation, reduction in muscle area, and GDF-15 increase are strong predictors of adverse outcomes in very old patients post-TAVR.

Low body mass index and risk of mortality after mitral transcatheter edge-to-edge repair procedure: The "obesity paradox"

BACKGROUND

Most patients undergoing the mitral transcatheter edge-to-edge repair (TEER) technique are elderly comorbid patients. Low body mass index (BMI) < 23 kg/m2 has been identified in other elderly populations as a risk factor, but has not been studied sufficiently in mitral TEER.

AIMS

We aimed to study the impact of low BMI (23 kg/m2) on the outcome after mitral TEER.

METHODS

Patients undergoing first-time TEER for mitral regurgitation at a single tertiary center were included, with the exclusion of patients with preprocedural hemodynamic instability or missing BMI. The primary endpoint was all-cause mortality. Secondary endpoints were long-term major bleeding or admission with heart failure.

RESULTS

A total of 120 patients (mean age 76 ± 10 years, 76% men) were included in the study. Thirty-nine (31%) had low BMI. Patients with low BMI had a similar symptomatic benefit as patients with BMI ≥ 23 kg/m2 at 1 year regarding decrease in diuretics dose and decrease in New York Heart Association (NYHA) class (p > 0.05). In a multivariable Cox regression analysis, BMI as a continuous variable (hazard ratio [HR]: 0.93 [95% confidence interval, CI: 0.87-0.99], p = 0.03) and low BMI (HR: 1.99 [95% CI: 1.12-3.52], p = 0.02) were associated with the primary outcome. Low BMI was not significantly associated with major bleeding (subdistribution hazard ratio [SHR]: 2.39 [95% CI: 0.96-5.97], p = 0.06) or admission with heart failure (SHR: 1.06 [95% CI: 0.61-1.88], p = 0.83) during follow-up with univariable competing risk regression analysis.

CONCLUSION

Low BMI is a risk factor for mortality after mitral valve TEER, confirming the presence of an "obesity paradox" in this population and should receive attention in patient selection.

Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR

BACKGROUND

New-onset atrial fibrillation (NOAF) occurs in 5% to 15% of patients who undergo transfemoral transcatheter aortic valve replacement (TAVR). Cardiac imaging has been underutilized to predict NOAF following TAVR.

OBJECTIVES

The objective of this analysis was to compare and assess standard, manual echocardiographic and cardiac computed tomography (cCT) measurements as well as machine learning-derived cCT measurements of left atrial volume index and epicardial adipose tissue as risk factors for NOAF following TAVR.

METHODS

The study included 1,385 patients undergoing elective, transfemoral TAVR for severe, symptomatic aortic stenosis. Each patient had standard and machine learning-derived measurements of left atrial volume and epicardial adipose tissue from cardiac computed tomography. The outcome of interest was NOAF within 30 days following TAVR. We used a 2-step statistical model including random forest for variable importance ranking, followed by multivariable logistic regression for predictors of highest importance. Model discrimination was assessed by using the C-statistic to compare the performance of the models with and without imaging.

RESULTS

Forty-seven (5.0%) of 935 patients without pre-existing atrial fibrillation (AF) experienced NOAF. Patients with pre-existing AF had the largest left atrial volume index at 76.3 ± 28.6 cm3/m2 followed by NOAF at 68.1 ± 26.6 cm3/m2 and then no AF at 57.0 ± 21.7 cm3/m2 (P < 0.001). Multivariable regression identified the following risk factors in association with NOAF: left atrial volume index ≥76 cm2 (OR: 2.538 [95% CI: 1.165-5.531]; P = 0.0191), body mass index <22 kg/m2 (OR: 4.064 [95% CI: 1.500-11.008]; P = 0.0058), EATv (OR: 1.007 [95% CI: 1.000-1.014]; P = 0.043), aortic annulus area ≥659 mm2 (OR: 6.621 [95% CI: 1.849-23.708]; P = 0.004), and sinotubular junction diameter ≥35 mm (OR: 3.891 [95% CI: 1.040-14.552]; P = 0.0435). The C-statistic of the model was 0.737, compared with 0.646 in a model that excluded imaging variables.

CONCLUSIONS

Underlying cardiac structural differences derived from cardiac imaging may be useful in predicting NOAF following transfemoral TAVR, independent of other clinical risk factors.

The Effect of Obesity on Short- and Long-Term Outcome after Surgical Treatment for Acute Type A Aortic Dissection

BACKGROUND

A paradox of lower morbidity and mortality in overweight or obese patients undergoing cardiac surgery has been described; however, knowledge about the influence of obesity in patients with acute Type A aortic dissection (AAD) is limited. This study aimed to evaluate the effect of obesity on short- and long-term outcomes after surgical treatment for AAD.

METHODS

Between 01/2004 and 12/2022, 912 patients with a BMI of 18.5 or greater were operated on for AAD. Patients were grouped according to their BMI (normal weight: BMI 18.5-24.9, n = 332; overweight: BMI 25-29.9, n = 367; obesity class I: BMI 30-34.9, n = 133; obesity class II+: BMI ≥ 35, n = 67), and the obtained clinical and surgical data were compared.

RESULTS

Obese patients were younger at the time of AAD (p = 0.001) and demonstrated higher rates of typical cardiovascular comorbidities (arterial hypertension, p = 0.005; diabetes mellitus, p < 0.001). The most important preoperative parameters, as well as the surgical approach, were similar between all four groups. The occurrence of renal failure requiring dialysis was higher in patients with BMI ≥ 35 (p = 0.010), but the in-hospital (p = 0.461) and long-term survival (p = 0.894) showed no significant differences.

CONCLUSIONS

There are no indications that the obesity paradox is applicable in the setting of AAD. Since obese patients are affected by AAD at a younger age, obesity might constitute a risk factor for AAD. However, obesity does not influence short- or long-term survival. Regardless of body weight, immediate surgical therapy remains the treatment of choice for AAD.

Effect of body mass index on mortality for diabetic patients with aortic stenosis

BACKGROUND

Several studies suggest an "obesity paradox," associating obesity with better cardiovascular outcomes in patients with type 2 diabetes mellitus (DM) or aortic stenosis (AS) compared to normal or underweight individuals. This study explores the impact of body mass index (BMI) on diabetic patients with AS.

METHODS

Between 2014 and 2019, patients with DM who underwent echocardiography were analyzed. Outcomes included all-cause mortality, cardiovascular, and non-cardiovascular death. Patients were categorized as underweight, normal weight, or obese based on BMI (<18.5, 18.5 to 27, and >27 kg/m2, respectively).

RESULTS

Among 74,835 DM patients, 734 had AS. Normal weight comprised 65.5% (n=481), underweight 4.1% (N=30), and 30.4% were obese. Over a 6-year follow-up, underweight patients had significantly higher all-cause mortality (HR 1.96, 95% CI 1.22 - 3.14, p = 0.005), while obese patients had significantly lower mortality (HR 0.79, 95% CI 0.68 - 0.91, p=0.001) compared to the normal group. Regarding etiologies, underweight patients had a higher risk of non-cardiovascular death (HR 2.47, 95% CI 1.44-4.25, p = 0.001), while obese patients had a lower risk of cardiovascular death (HR 0.66, 95% CI 0.50-0.86, p=0.003). Subgroup analysis showed a consistent trend without significant interaction.

CONCLUSIONS

BMI significantly impacts mortality in DM patients with AS. Being underweight is associated with worse non-cardiovascular death, while obesity is linked to improved cardiovascular death outcomes.

Relation of body mass index to long-term survival and cardiac remodelling for patients undergoing mitral valve replacement surgery

BACKGROUND AND AIMS

Studies have demonstrated that obesity is paradoxically associated with reduced mortality following cardiac surgery. However, these studies have treated various types of cardiac surgery as a single entity. With mitral valve (MV) surgeries being the fastest-growing cardiac surgical interventions in North America, the purpose of this study was to identify the impact of body mass index (BMI) on long-term survival and cardiac remodelling of patients undergoing MV replacement (MVR).

METHODS AND RESULTS

In this retrospective, single-center study, 1071 adult patients who underwent an MVR between 2004 and 2018 were stratified into five BMI groups (<20, 20-24.9, 25-29.9, 30-34.9, >35). Cox proportional hazard regression models were used to determine the association between BMI and all-cause mortality. Patients who were underweight had significantly higher all-cause mortality rates at the longest follow-up (median 8.2 years) than patients with normal weight (p = 0.01). Patients who were in the obese group had significantly higher readmission rates due to myocardial infarction (MI) at the longest follow-up (p = 0.017). Subgroup analysis revealed a significant increase in long-term all-cause mortality for female patients who were underweight. Significant changes in left atrial size, mitral valve peak and mean gradients were seen in all BMI groups.

CONCLUSIONS

For patients undergoing mitral valve replacement, BMI is unrelated to operative outcomes except for patients who are underweight.

Sarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI

Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA). The obtained parameters (area and density of skeletal muscles and intramuscular, visceral, and subcutaneous adipose tissue) were analyzed using Cox univariate and multivariable models for continuous and categorical variables to assess the relation of selected variables with all-cause mortality. 866 patients were included (median(interquartile range)): age 79.7 (74.9-83.3) years; BMI 28.9 (25.9-32.6) kg/m2. Survival analysis was performed on all automatically obtained parameters of muscle and fat density and area. Skeletal muscle index (SMI in cm2/m2), visceral (VAT in HU) and subcutaneous adipose tissue (SAT in HU) density predicted the all-cause mortality in patients after TAVI expressed as hazard ratio (HR) with 95% confidence interval (CI): SMI HR 0.986, 95% CI (0.975-0.996); VAT 1.015 (1.002-1.028) and SAT 1.014 (1.004-1.023), all p < 0.05. Automatic body composition assessment can estimate higher all-cause mortality risk in patients after TAVI, which may be useful in preoperative clinical reasoning and stratification of patients.

The impact of sex, body mass index and chronic kidney disease on outcomes following percutaneous coronary intervention

OBJECTIVE

This study sought to evaluate 1) the relationship between body mass index (BMI), chronic kidney disease (CKD) and bleeding complications in patients undergoing percutaneous coronary intervention (PCI); and 2) whether CKD modified the effect of BMI on major bleeding and major adverse cardiac and cerebrovascular events (MACCE).

BACKGROUND

The interaction of CKD, sex and BMI in patients undergoing PCI is unclear.

METHODS

Between 2010 and 2018, a total of 31,116 patients underwent PCI at six New York metropolitan area hospitals. Bleeding complications were classified by the Bleeding Academic Research Consortium (BARC). Major bleeding was defined as BARC≥3. MACCE was the composite of in-hospital death; myocardial infarction; cerebrovascular events and major bleeding complications. Interaction on multiplicative scales was assessed adjusting for other factors. A three-way multiplicative interaction between BMI, CKD and sex were considered and evaluated for both endpoints of primary interest (BARC≥3 and MACCE).

RESULTS

Patients with BARC≥3 bleeding were older (p < 0.0001) and more likely female (p < 0.0001). A 3-way interaction existed between sex, BMI, and CKD on BARC≥3 (p = 0.02). Specifically, the effect of CKD status on odds of BARC≥3 depended on BMI group among males, whereas BMI did modify the relationship between CKD and BARC≥3 among females; after stratification by sex, a significant interaction between BMI and CKD was present in females (p = 0.03) but not in males (p = 0.43). Among females without CKD, normal BMI patients had the greatest odds of BARC≥3 compared to obese or overweight females. Contrasted to females without CKD, among females with CKD there was no significant increased odds of BARC≥3 in normal BMI patients compared to obese or overweight females. However, overweight females with CKD had a significantly increased odds of BARC≥3 compared to obese females with CKD. Furthermore, obese females with CKD had significantly greater BARC≥3 odds compared to obese females without CKD. Similarly, overweight females with CKD had an increased odds of BARC≥3 compared to overweight females without CKD. No significant interactions were found for the odds of MACCE.

CONCLUSION

In patients undergoing PCI, there was evidence of a significant and complex 3-way interaction between BMI, CKD and sex for major bleeding events. The predicted probability of major bleeding was greater for females than for male patients, and for both sexes, greater among those with CKD, but BMI group influences these probabilities. Obese females with kidney disease had the lowest incidence of bleeding complications when compared with overweight or normal weight female patients undergoing PCI. This interaction was not seen in the male group or for MACCE. Furthermore, age, cardiogenic shock, STEMI and use of IABP/Impella were each independently associated with odds of major bleeding (among both males and females) and MACCE.

Low Transvalvular Flow Rate in Patients Undergoing Transcatheter Aortic Valve Implantation (TAVI) Is a Predictor of Mortality: The TFR-TAVI Study

BACKGROUND

Transvalvular flow rate (TFR) represents a better reflection of transvalvular flow than the stroke volume index (SVi), and has recently emerged as a useful prognostic tool in patients undergoing surgical aortic valve replacement. There is a paucity of data investigating the role of TFR and its relationship with other clinical or echocardiographic factors in patients undergoing transcatheter aortic valve implantation (TAVI).

METHOD

This was a retrospective single-centre study of 629 consecutive patients who underwent TAVI between March 2009 and September 2020. Pre-TAVI low TFR was defined as <200 c/s. The primary study end point was all-cause mortality.

RESULTS

Low TFR was observed in 41.8% (263/629) of included patients and was associated with increasing age, low body surface area, hypertension, diabetes, atrial fibrillation, left ventricular (LV) dysfunction, and significant mitral regurgitation. LV function status and severity of aortic valve disease were independent predictors of low TFR. Low TFR was significantly associated with long-term all-cause mortality even after adjustment for other risk factors (adjusted hazard ratio [aHR] 1.44; 95% confidence interval [CI] 1.02-2.03; p=0.038). When data were stratified according to SVi, low TFR was an independent predictor of long-term all-cause mortality in patients with normal SVi (aHR 1.98; 95% CI 1.06-3.69; p=0.032) but not in patients with low SVi (HR 1.23; 95% CI 0.71-2.11; p=0.46; p=0.016 for interaction).

CONCLUSIONS

Low TFR is common in patients undergoing TAVI and is an independent predictor of all-cause mortality, particularly in patients with normal SVi.

Independent association of aortic stenosis with many known cardiovascular risk factors and many inflammatory diseases

BACKGROUND

Aortic valve stenosis is associated with age, rheumatic fever and bicuspid aortic valve, but its association with other co-morbidities, such as inflammatory disease and race/ethnicity, is less known.

AIM

To investigate any association between aortic stenosis and many co-morbidities.

METHODS

We used the large Nationwide Inpatient Sample database to evaluate any association between aortic stenosis and risk factors. We performed univariate and multivariable analyses, adjusting for co-morbid conditions.

RESULTS

Data were extracted from the first available database that used the International Classification of Diseases, Tenth Revision codes specifically coding for aortic stenosis alone, spanning from 2016 to 2020 (n=112,982,565). A total of 2,322,649 patients had aortic stenosis; the remaining 110,659,916 served as controls. We found a strong and independent significant association between aortic stenosis and coronary artery disease (odds ratio [OR]: 2.11, 95% confidence interval [CI]: 2.09-2.13), smoking (OR: 1.08, 95% CI: 1.07-1.08), diabetes mellitus (OR: 1.15, 95% CI: 1.14-1.16), hypertension (OR: 1.41, 95% CI: 1.4-1.42), hyperlipidaemia (OR: 1.31, 95% CI: 1.3-1.32), renal disease (OR: 1.3, 95% CI: 1.29-1.31), chronic obstructive pulmonary disease (OR: 1.05, 95% CI: 1.04-1.05), obesity (OR: 1.3, 95% CI: 1.29-1.32), white race/ethnicity (OR: 1.47, 95% CI: 1.42-1.52), rheumatoid arthritis (OR: 1.13, 95% CI: 1.11-1.15), scleroderma (OR: 1.93, 95% CI: 1.79-2.09), systemic connective tissue disease (OR: 1.24, 95% CI: 1.2-1.27), polyarteritis nodosa (OR: 1.5, CI: 1.24-1.81) and Raynaud's syndrome (OR: 1.16, 95% CI: 1.09-1.24) (all P<0.001), in addition to known factors, such as age, male sex and bicuspid aortic valve.

CONCLUSION

Using a very large database, we found many new associations with aortic valve stenosis, including race/ethnicity, renal disease, several inflammatory diseases, chronic obstructive pulmonary disease and obesity, in addition to many other known cardiovascular risk factors.

Associations between body mass index and all-cause mortality: A systematic review and meta-analysis

Fasting insulin and c-reactive protein confound the association between mortality and body mass index. An increase in fat mass may mediate the associations between hyperinsulinemia, hyperinflammation, and mortality. The objective of this study was to describe the "average" associations between body mass index and the risk of mortality and to explore how adjusting for fasting insulin and markers of inflammation might modify the association of BMI with mortality. MEDLINE and EMBASE were searched for studies published in 2020. Studies with adult participants where BMI and vital status was assessed were included. BMI was required to be categorized into groups or parametrized as non-first order polynomials or splines. All-cause mortality was regressed against mean BMI squared within seven broad clinical populations. Study was modeled as a random intercept. β coefficients and 95% confidence intervals are reported along with estimates of mortality risk by BMIs of 20, 30, and 40 kg/m2 . Bubble plots with regression lines are drawn, showing the associations between mortality and BMI. Splines results were summarized. There were 154 included studies with 6,685,979 participants. Only five (3.2%) studies adjusted for a marker of inflammation, and no studies adjusted for fasting insulin. There were significant associations between higher BMIs and lower mortality risk in cardiovascular (unadjusted β -0.829 [95% CI -1.313, -0.345] and adjusted β -0.746 [95% CI -1.471, -0.021]), Covid-19 (unadjusted β -0.333 [95% CI -0.650, -0.015]), critically ill (adjusted β -0.550 [95% CI -1.091, -0.010]), and surgical (unadjusted β -0.415 [95% CI -0.824, -0.006]) populations. The associations for general, cancer, and non-communicable disease populations were not significant. Heterogeneity was very large (I2  ≥ 97%). The role of obesity as a driver of excess mortality should be critically re-examined, in parallel with increased efforts to determine the harms of hyperinsulinemia and chronic inflammation.

Comparison of Body Mass Index (Four Categories) to In-Hospital Outcomes in Patients Who Underwent Transcatheter Aortic Valve Implantation

Although obesity is often associated with adverse outcomes in cardiovascular diseases, studies have demonstrated a beneficial effect on patients who underwent transcatheter aortic valve implantation (TAVI), coining the term "obesity paradox." We sought to determine if the obesity paradox is valid when patients are studied in body mass index (BMI) groups versus simplified classification of obese and nonobese. We examined the National Inpatient Sample database from 2016 to 2019 for all patients who underwent TAVI >18 years of age using the International Classification of Diseases, 10th edition procedure codes. Patients were grouped by BMI categories of underweight, overweight, obese, and morbidly obese. They were compared with normal-weight patients to assess the relative risk of in-hospital mortality, cardiogenic shock, ST-elevation myocardial infarction, bleeding complications requiring transfusions, and complete heart blocks requiring permanent pacemaker. A logistic regression model was constructed to account for potential confounders. Of the 221,000 patients who underwent TAVI, 42,315 patients with appropriate BMI designation were stratified into BMI groups. Compared to the normal-weight group, overweight, obese, and morbid-obese TAVI patients were associated with a lower risk of in-hospital mortality (relative risk [RR] 0.48, confidence interval [CI] 0.29 to 0.77, p <0.001), (RR 0.42, CI 0.28 to 0.63, p <0.001), (RR 0.49, CI 0.33 to 0.71, p <0.001 respectively), cardiogenic shock (RR 0.27, CI 0.20 to 0.38, p <0.001), (RR 0.21, CI 0.16 to 0.27, p <0.001), (RR 0.21, CI 0.16 to 0.26, p <0.001), and blood transfusions (RR 0.63, CI 0.50 to 0.79, p <0.001), (RR 0.47, CI 0.39 to 0.58, p <0.001), (RR 0.61, CI 0.51 to 0.74, p <0.001). This study indicated that obese patients were at a significantly lower risk of in-hospital mortality, cardiogenic shock, and bleeding complications requiring transfusions. In conclusion, our study supported the existence of the obesity paradox in TAVI patients.

Effect of BMI on patients undergoing transcatheter aortic valve implantation: A systematic review and meta-analysis

BACKGROUND

The relationship of body mass index (BMI) and an "obesity paradox" with cardiovascular risk prediction is controversial. This systematic review and meta-analysis aims to compare the associations of different BMI ranges on transcatheter aortic valve implantation (TAVI) outcomes.

METHODS

International databases, including PubMed, the Web of Science, and the Cochrane Library, were systematically searched for observational and randomized controlled trial studies investigating TAVI outcomes in any of the four BMI categories: underweight, normal weight, overweight, and obese with one of the predefined outcomes. Primary outcomes were in-hospital, 30-day, and long-term all-cause mortality. Random-effects meta-analysis was performed to calculate the odds ratio (OR) or standardized mean differences (SMD) with 95% confidence interval (CI) for each paired comparison between two of the BMI categories.

RESULTS

A total of 38 studies were included in our analysis, investigating 99,829 patients undergoing TAVI. There was a trend toward higher comorbidities such as hypertension, diabetes, and dyslipidemia in overweight patients and individuals with obesity. Compared with normal-weight, patients with obesity had a lower rate of 30-day mortality (OR 0.42, 95% CI 0.25-0.72, p < 0.01), paravalvular aortic regurgitation (OR 0.63, 95% CI 0.44-0.91, p = 0.01), 1-year mortality (OR 0.48, 95% CI 0.24-0.96, p = 0.04), and long-term mortality (OR 0.69, 95% CI 0.51-0.94, p = 0.02). However, acute kidney injury (OR 1.16, 95% CI 1.04-1.30, p = 0.01) and permanent pacemaker implantation (OR 1.25, 95% CI 1.05-1.50, p = 0.01) odds were higher in patients with obesity. Noteworthy, major vascular complications were significantly higher in underweight patients in comparison with normal weight cases (OR 1.62, 95% CI 1.07-2.46, p = 0.02). In terms of left ventricular ejection fraction (LVEF), patients with obesity had higher post-operative LVEF compared to normal-weight individuals (SMD 0.12, 95% CI 0.02-0.22, p = 0.02).

CONCLUSION

Our results suggest the presence of the "obesity paradox" in TAVI outcomes with higher BMI ranges being associated with lower short- and long-term mortality. BMI can be utilized for risk prediction of patients undergoing TAVI.

Survival benefit of overweight patients undergoing MitraClip® procedure in comparison to normal-weight patients

BACKGROUND

The number of MitraClip® implantations increased significantly in recent years. Data regarding the impact of weight class on survival are sparse.

HYPOTHESIS

We hypothesized that weight class influences survival of patients treated with MitraClip® implantation.

METHODS

We investigated in-hospital, 1-year, 3-year, and long-term survival of patients successfully treated with isolated MitraClip® implantation for mitral valve regurgitation (MR) (June 2010-March 2018). Patients were categorized by weight classes, and the impact of weight classes on survival was analyzed.

RESULTS

Of 617 patients (aged 79.2 years; 47.3% females) treated with MitraClip® implantation (June 2010-March 2018), 12 patients were underweight (2.2%), 220 normal weight (40.1%), 237 overweight (43.2%), and 64 obesity class I (11.7%), 12 class II (2.2%), and 4 class III (0.7%). Preprocedural Logistic EuroScore (21.1 points [IQR 14.0-37.1]; 26.0 [18.5-38.5]; 26.0 [18.4-39.9]; 24.8 [16.8-33.8]; 33.0 [25.9-49.2]; 31.6 [13.1-47.6]; p = .291) was comparable between groups. Weight class had no impact on in-hospital death (0.0%; 4.1%; 1.5%; 0.0%; 7.7%; 0.0%; p = .189), 1-year survival (75.0%; 72.0%; 76.9%; 75.0%; 75.0%; 33.3%; p = .542), and 3-year survival (40.0%; 36.8%; 38.2%; 48.6%; 20.0%; 33.3%; p = .661). Compared to normal weight, underweight (hazard ratio [HR]: 1.35 [95% confidence interval [CI]: 0.65-2.79], p = .419), obesity-class I (HR: 0.93 [95% CI: 0.65-1.34], p = .705), class II (HR: 0.39 [95% CI: 0.12-1.24], p = .112), and class III (HR: 1.28 [95% CI: 0.32-5.21], p = .726) did not affect long-term survival. In contrast, overweight was associated with better survival (HR: 1.32 [95% CI: 1.04-1.68], p = .023).

CONCLUSION

Overweight affected the long-term survival of patients undergoing MitraClip® implantation beneficially compared to normal weight.

A Meta-Analysis on the Impact of High BMI in Patients Undergoing Transcatheter Aortic Valve Replacement

BACKGROUND

A paradoxical association of obesity with lower risk of transcatheter aortic valve replacement (TAVR) outcomes has been reported. We aimed to systematically review the literature and compare TAVR-related morbidity and mortality among individuals with overweight or obesity and their peers with normal body mass index (BMI).

METHODS

PubMed and Embase databases were systematically searched for studies reporting TAVR outcomes in different BMI groups. Separate meta-analyses were conducted for studies reporting hazard ratios (HR) and odds ratios/relative risks. Short- and mid-/long-term outcomes were examined.

RESULTS

26 studies with a total of 74,163 patients were included in our study. Overweight was associated with lower risk of short-term mortality (HR: 0.77; 95% CI: 0.60-0.98) and mid-/long-term mortality (HR: 0.79; 95% CI: 0.70-0.89). Obesity was associated with lower risk for mid-/long-term mortality (HR: 0.79; 95% CI: 0.73-0.86), but no difference was observed in short-term mortality, although a trend was noted (HR: 0.87l 95% CI: 0.74-1.01). Individuals with obesity demonstrated an association with higher odds of major vascular complications (OR: 1.33; 95% CI: 1.05-1.68). Both overweight (OR: 1.16; 95% CI: 1.03-1.30) and obesity (OR: 1.26; 95% CI: 1.06-1.50) were associated with higher likelihood for receiving permanent pacemakers after TAVR.

CONCLUSION

Individuals with overweight and obesity were associated with lower mortality risk compared to those with normal BMI but with higher likelihood of major vascular complications and permanent pacemaker implantation after TAVR.

The obesity paradox: association of obesity with improved survival in medically managed severe aortic stenosis

INTRODUCTION

The obesity paradox, where obesity is associated with improved survival, has been described in patients undergoing haemodialysis and in those with heart failure. It was also demonstrated in patients undergoing valve replacement for aortic stenosis (AS). We explored this phenomenon in medically managed severe AS.

METHODS

154 patients with medically managed severe AS (aortic valve area index [AVAi] < 0.6 cm2/m2; mean pressure gradient > 40 mmHg and peak velocity > 400 cm/s) and preserved left ventricular ejection fraction (> 50%) were categorised into the obese (body mass index [BMI] Asian cut-off ≥ 27.5 kg/m2) and non-obese groups. Their clinical and echocardiographic profiles were compared.

RESULTS

24 (15.6%) patients were obese. Obese patients were similar to non-obese patients in age (68.5 ± 11.6 years vs. 68.9 ± 13.1 years) but had higher prevalence of cardiovascular risk factors. Left atrial diameter (43.7 ± 6.7 mm vs. 38.5 ± 10.2 mm) was larger in obese patients, while left ventricular outflow tract diameter (19.5 ± 1.7 mm vs. 20.4 ± 2.1 mm) was smaller. Despite lower AVAi in obese patients (0.36 ± 0.10 cm2/m2 vs. 0.43 ± 0.11 cm2/m2), there was lower mortality (37.5% vs. 41.0%, log-rank 4.06, p = 0.045) on follow-up (8.0 ± 5.7 years). After adjusting for age and AVAi, higher BMI ≥ 27.5 kg/m2 remained protective for mortality (hazard ratio 0.38, 95% confidence interval 0.15 to 0.98, p = 0.046).

CONCLUSION

We demonstrated that obesity was associated with improved survival in severe AS despite lower AVAi and increased prevalence of cardiovascular risk factors.

Heart valve surgery and the obesity paradox: A systematic review

Obesity has been associated with increased incidence of comorbidities and shorter life expectancy, and it has generally been assumed that patients with obesity should have inferior outcomes after surgery. Previous literature has often demonstrated equivalent or even improved rates of mortality after cardiac surgery when compared to their lower-weight counterparts, coined the obesity paradox. Herein, we aim to review the literature investigating the impact of obesity on surgical valve interventions. PubMed and Embase were systematically searched for articles published from 1 January 2000 to 15 October 2021. A total of 1315 articles comparing differences in outcomes between patients of varying body mass index (BMI) undergoing valve interventions were reviewed and 25 were included in this study. Patients with higher BMI demonstrated equivalent or reduced rates of postoperative myocardial infarction, stroke, reoperation rates, acute kidney injury, dialysis and bleeding. Two studies identified increased rates of deep sternal wound infection in patients with higher BMI, although the majority of studies found no significant difference in deep sternal wound infection rates. The obesity paradox has described counterintuitive outcomes predominantly in coronary artery bypass grafting and transcatheter aortic valve replacement. Recent literature has identified similar trends in other heart valve interventions. While the obesity paradox has been well characterized, its causes are yet to be identified. Further study is essential in order to identify the causes of the obesity paradox so patients of all body sizes can receive optimal care.

Incidence and Predictors of Permanent Pacemaker Implantation after Transcatheter Aortic Valve Procedures: Data of The Netherlands Heart Registration (NHR)

Atrioventricular conduction disturbance leading to permanent pacemaker (PM) implantation is a frequent and relevant complication after transcatheter aortic valve implantation (TAVI). We aimed to evaluate the rate of post-TAVI permanent PM implantation over time and to identify the predictive factors for post-TAVI PM. The data were retrospectively collected by the Netherlands Heart Registration (NHR). In total, 7489 isolated TAVI patients between 2013 and 2019 were included in the final analysis. The primary endpoint was a permanent PM implantation within 30 days following TAVI. The incidence of the primary endpoint was 12%. Post-TAVI PM showed a stable rate over time. Using multivariable logistic regression analysis, age (OR 1.01, 95% CI 1.00–1.02), weight (OR 1.00, 95% CI 1.00–1.01), creatinine serum level (OR 1.15, 95% CI 1.01–1.31), transfemoral TAVI approach (OR 1.34, 95% CI 1.11–1.61), and TAVI post-dilatation (OR 1.58, 95% CI 1.33–1.89) were shown to be independent predictors of PM. Male sex (OR 0.80, 95% CI 0.68–0.93) and previous aortic valve surgery (OR 0.42, 95% CI 0.26–0.69) had a protective effect on post-TAVI PM. From a large national TAVI registry, some clinical and procedural factors have been identified as promoting or preventing post-TAVI PM. Further efforts are required to identify high-risk patients for post-TAVI PM and to reduce the incidence of this important issue.

Clinical and Echocardiographic Parameters Predicting 1- and 2-Year Mortality After Transcatheter Aortic Valve Implantation

Background: Transcatheter aortic valve implantation (TAVI) has become a standard treatment option for patients with symptomatic aortic stenosis. Elderly high-risk patients treated with TAVI have a high residual mortality due to preexisting comorbidities. Knowledge of factors predicting futility after TAVI is sparse and clinical tools to aid the preoperative evaluation are lacking. The aim of this study was to evaluate if echocardiographic measures, including speckle-tracking analysis, in addition to clinical parameters, could aid in the prediction of mortality beyond 30 days after TAVI. Methods: This prospective observational cohort study included 227 patients treated with TAVI at the University Hospital of North Norway, Tromsø and Oslo University Hospital, Rikshospitalet from February 2010 to June 2013. All the patients underwent preoperative echocardiographic evaluation with retrospective speckle-tracking analysis. Primary endpoints were 1- and 2-year mortality beyond 30 days after TAVI. Results: All-cause 1- and 2-year mortality beyond 30 days after TAVI was 12.1 and 19.5%, respectively. Predictors of 1-year mortality beyond 30 days were body mass index [hazard ratio (HR): 0.88, 95% CI: 0.80-0.98, p = 0.018], previous myocardial infarction (HR: 2.69, 95% CI: 1.14-6.32, p = 0.023), and systolic pulmonary artery pressure ≥ 60 mm Hg (HR: 5.93, 95% CI: 1.67-21.1, p = 0.006). Moderate-to-severe mitral regurgitation (HR: 2.93, 95% CI: 1.53-5.63, p = 0.001), estimated glomerular filtration rate (HR: 0.98, 95% CI: 0.96-0.99, p = 0.002), and chronic obstructive pulmonary disease (HR: 1.9, 95% CI: 1.01-3.58, p = 0.046) were predictors of 2-year mortality. Conclusion: Both the clinical and echocardiographic parameters should be considered when evaluating high-risk patients for TAVI, as both are predictive of 1-and 2-year mortality. Our results support the importance of individual risk assessment using a multidisciplinary, multimodal, and individual approach.

Impact of High Body Mass Index on Vascular and Bleeding Complications After Transcatheter Aortic Valve Implantation

Increased body mass index (BMI) is an established cardiovascular risk factor. The impact of high BMI on vascular and bleeding complications in patients undergoing transcatheter aortic valve implantation (TAVI) is not clarified. RISPEVA, a multicenter prospective database of patients undergoing TAVI stratified by BMI was used for this analysis. Patients were classified as normal or high BMI (obese and overweight) according to the World Health Organization criteria. A comparison of 30-day vascular and bleeding outcomes between groups was performed using propensity scores methods. A total of 3776 matched subjects for their baseline characteristics were included. Compared with normal BMI, high BMI patients had significantly 30-day greater risk of the composite of vascular or bleeding complications (11.1% vs 8.8%, OR: 1.28, 95% CI [1.02 to 1.61]; p = 0.03). Complications rates were higher in both obese (11.3%) and overweight (10.5%), as compared with normal weight patients (8.8%). By a landmark event analysis, the effect of high versus normal BMI on these complications appeared more pronounced within 7 days after the TAVI procedure. A significant linear association between increased BMI and vascular complications was observed at this time frame (p = 0.03). In conclusion, compared with normal BMI, both obese and overweight patients undergoing TAVI, experience increased rates of 30-day vascular and bleeding complications. These findings indicate that high BMI is an independent risk predictor of vascular and bleeding complications after TAVI.

Aortic angle distribution and predictors of horizontal aorta in patients undergoing transcatheter aortic valve replacement

BACKGROUND

Horizontal aorta (HA) is an anatomical feature that can pose significant technical challenges for the successful positioning of the bioprosthetic valve during transcatheter aortic valve replacement (TAVR). Physiological range of aortic angle (AA) is unknown; hence there is no cutoff AA for classifying HA. Moreover, patient characteristics predicting HA are under-investigated.

METHODS

This was a retrospective analysis of prospective collected data from 16 heart valve centers in Europe. The study utilized a common dataset with a priori agreed-upon definitions and variables. Eligible patients underwent TAVR between 2014 and 2020 and had multidetector computed tomographic imaging data available for determining the AA. The analysis described the distribution of AA and potential predictors of HA. Inter-center variability was also explored.

RESULTS

For 4022 patients analyzed, the mean AA ± standard deviation was 49.4° ± 9.4° (median 49°, inter-quartile range [IQR] 12°, range 18-90°). There was no significant difference in mean AA between men and women (49.4° ± 9.1° vs. 49.6° ± 9.3°, respectively; p = 0.53); therefore, 49.4° was accepted as the cutoff value for HA in subsequent analyses. Covariates significantly associated with HA included age (odds ratio [OR]: 1.02, 95% confidence interval [CI]: 1.01-1.04, p < 0.001), body mass index (OR: 1.06, 95% CI: 1.05-1.08, p < 0.01), previous cardiac surgery (OR: 0.58, 95% CI: 0.45-0.75, p < 0.001), and porcelain aorta (OR: 0.66, 95% CI: 0.52-0.85, p = 0.001). Some inter-center variability was observed.

CONCLUSIONS

We defined 49.4° as the mean AA, and also associated predictors of HA in a large case series of patients with severe aortic stenosis candidates for TAVR.

Isolated severe blunt traumatic brain injury: effect of obesity on outcomes

OBJECTIVE

Obesity has been widely reported to confer significant morbidity and mortality in both medical and surgical patients. However, contemporary data indicate that obesity may confer protection after both critical illness and certain types of major surgery. The authors hypothesized that this "obesity paradox" may apply to patients with isolated severe blunt traumatic brain injuries (TBIs).

METHODS

The Trauma Quality Improvement Program (TQIP) database was queried for patients with isolated severe blunt TBI (head Abbreviated Injury Scale [AIS] score 3-5, all other body areas AIS < 3). Patient data were divided based on WHO classification levels for BMI: underweight (< 18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), obesity class 1 (30.0-34.9 kg/m2), obesity class 2 (35.0-39.9 kg/m2), and obesity class 3 (≥ 40.0 kg/m2). The role of BMI in patient outcomes was assessed using regression models.

RESULTS

In total, 103,280 patients were identified with isolated severe blunt TBI. Data were excluded for patients aged < 20 or > 89 years or with BMI < 10 or > 55 kg/m2 and for patients who were transferred from another treatment center or who showed no signs of life upon presentation, leaving data from 38,446 patients for analysis. Obesity was not found to confer a survival advantage on univariate analysis. On multivariate analysis, underweight patients as well as obesity class 1 and 3 patients had a higher rate of mortality (OR 1.86, 95% CI 1.48-2.34; OR 1.18, 95% CI 1.01-1.37; and OR 1.41, 95% CI 1.03-1.93, respectively). Increased obesity class was associated with an increased risk of respiratory complications (obesity class 1: OR 1.19, 95% CI 1.03-1.37; obesity class 2: OR 1.30, 95% CI 1.05-1.62; obesity class 3: OR 1.55, 95% CI 1.18-2.05) and thromboembolic complications (overweight: OR 1.43, 95% CI 1.16-1.76; obesity class 1: OR 1.45, 95% CI 1.11-1.88; obesity class 2: OR 1.55, 95% CI 1.05-2.29) despite a decreased risk of overall complications (obesity class 2: OR 0.82, 95% CI 0.73-0.92; obesity class 3: OR 0.83, 95% CI 0.72-0.97). Underweight patients had a significantly increased risk of overall complications (OR 1.39, 95% CI 1.24-1.57).

CONCLUSIONS

Although there was an obesity-associated decrease in overall complications, the study data did not demonstrate a paradoxical protective effect of obesity on mortality after isolated severe blunt TBI. Obese patients with isolated severe blunt TBI are at increased risk of respiratory and venous thromboembolic complications. However, underweight patients appear to be at highest risk after severe blunt TBI, with significantly increased risks of morbidity and mortality.

Clinical Outcomes of Subcutaneous and Visceral Adipose Tissue Characteristics Assessed in Patients Underwent Transcatheter Aortic Valve Replacement

BACKGROUND

Adipose tissue (AT) characteristics are considered to be a marker for predicting clinical outcomes. This study aimed to investigate the prognostic value of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) computed tomography (CT) assessment in patients who underwent transcatheter aortic valve replacement (TAVR).

METHODS

We used the Japanese multicentre registry data of 1372 patients (age: 84.5 ± 5.0 years, women: 70.6%) who underwent TAVR. The SAT and VAT were assessed according to the preprocedural CT area and density. Baseline characteristics and clinical outcomes were compared based on the differences in AT characteristics. The independent associations with all-cause mortality after TAVR were evaluated according to the CT area and density of AT.

RESULTS

Low-volume area of SAT and VAT was associated with worse clinical outcomes compared with high-volume area of SAT and VAT in patients who underwent TAVR (log-rank test P = 0.016 and P = 0.014). High CT density of SAT and VAT was associated with increasing mortality in comparison with low CT density of SAT and VAT (log-rank test P < 0.001 and P = 0.007). The Cox regression multivariate analysis demonstrated the independent association of increased all-cause mortality in the high SAT and VAT density (hazard ratio [HR]: 1.41, 95% confidence interval [CI]: 1.06-1.88, P = 0.019, and HR: 1.34, 95% CI: 1.03-1.76, P = 0.031, respectively), but not in the low SAT and VAT area (HR: 0.85, 95% CI: 0.74-1.29, P = 0.85, and HR: 0.78, 95% CI: 0.60-1.03, P = 0.085, respectively).

CONCLUSIONS

CT-derived AT characteristics, particularly the qualitative assessments, were useful for predicting the prognosis in patients after TAVR.

The effect of body mass index on outcomes following severe blunt chest trauma

INTRODUCTION

Obesity has been described as a significant risk factor for adverse outcomes in hospitalized patients. However, recent literature reports an "obesity paradox", suggesting that obesity may have a protective effect in a subset of surgical and critically ill patients. The present study assesses the effect of body mass index (BMI) on outcomes following severe isolated blunt chest trauma.

METHODS

This was a TQIP database study including patients with severe isolated blunt chest injury (chest AIS 3-5, extrathoracic AIS <3). Patients were excluded for age <20 or >89, death on arrival, facility transfer, or BMI <10 or >55. Patients were divided into five groups according to BMI: underweight (BMI <18.5), normal weight (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9) and obesity class 3 (≥40.0). Logistic regression models were constructed to evaluate the effect of BMI on outcomes.

RESULTS

28,820 patients met criteria for inclusion in the analysis. After multivariable analysis, underweight patients as well as obesity class 2 and 3 patients had a significantly higher mortality (OR 1.86 [95% CI, 1.12-3.10], OR 1.48 [95% CI, 1.02-2.16], and OR 1.60 [95% CI, 1.03-2.50]), respectively. Underweight patients had significantly higher risk of overall complications as compared to normal weight patients (OR 1.58 [95% CI, 1.34-1.88]). Obesity class 2 and 3 were independently associated with increased respiratory complications (OR 1.60 [95% CI, 1.27-2.01] and OR 1.58 [95% CI, 1.20-2.09], respectively) and all classes of overweight and obese patients were associated with increased risk of VTE complications (OR 1.68 [95% CI, 1.23-2.27], OR 1.98 [95% CI, 1.42-2.77], OR 2.32 [95% CI, 1.55-3.48], OR 2.02 [95% CI, 1.23-3.33], respectively for overweight and obesity class 1, 2, 3).

CONCLUSIONS

The obesity paradox does not extend to severe blunt chest trauma. Underweight and obesity class 2 and 3 patients have worse mortality than normal weight patients. Obesity was independently associated with an increased risk of pulmonary and VTE complications.

Clinical risk model for predicting 1-year mortality after transcatheter aortic valve replacement

Objectives

Estimating 1‐year life expectancy is an essential factor when evaluating appropriate indicators for transcatheter aortic valve replacement (TAVR).

Background

It is clinically useful in developing a reliable risk model for predicting 1‐year mortality after TAVR.

Methods

We evaluated 2,588 patients who underwent TAVR using data from the Optimized CathEter vAlvular iNtervention (OCEAN) Japanese multicenter registry from October 2013 to May 2017. The 1‐year clinical follow‐up was achieved by 99.5% of the entire population (n = 2,575). Patients were randomly divided into two cohorts: the derivation cohort (n = 1,931, 75% of the study population) and the validation cohort (n = 644). Considerable clinical variables including individual patient's comorbidities and frailty markers were used for predicting 1‐year mortality following TAVR.

Results

In the derivation cohort, a multivariate logistic regression analysis demonstrated that sex, body mass index, Clinical Frailty Scale, atrial fibrillation, peripheral artery disease, prior cardiac surgery, serum albumin, renal function as estimated glomerular filtration rate, and presence of pulmonary disease were independent predictors of 1‐year mortality after TAVR. Using these variables, a risk prediction model was constructed to estimate the 1‐year risk of mortality after TAVR. In the validation cohort, the risk prediction model revealed high discrimination ability and acceptable calibration with area under the curve of 0.763 (95% confidence interval, 0.728–0.795, p < .001) in the receiver operating characteristics curve analysis and a Hosmer–Lemeshow χ² statistic of 5.96 (p = .65).

Conclusions

This risk prediction model for 1‐year mortality may be a reliable tool for risk stratification and identification of adequate candidates in patients undergoing TAVR.

Impact of obesity on adverse in-hospital outcomes in patients undergoing percutaneous mitral valve edge-to-edge repair using MitraClip® procedure - Results from the German nationwide inpatient sample

BACKGROUND AND AIM

The number of percutaneous edge-to-edge mitral regurgitation (MR) valve repairs with MitraClip® implantations increased exponentially in recent years. Studies have suggested an obesity survival paradox in patients with cardiovascular diseases. We investigated the influence of obesity on adverse in-hospital outcomes in patients with MitraClip® implantation.

METHODS AND RESULTS

We analyzed data on characteristics of patients and in-hospital outcomes for all percutaneous mitral valve repairs using the edge-to-edge MitraClip®-technique in Germany 2011-2015 stratified for obesity vs. normal-weight/over-weight. The nationwide inpatient sample comprised 13,563 inpatients undergoing MitraClip® implantations. Among them, 1017 (7.5%) patients were coded with obesity. Obese patients were younger (75 vs.77 years,P < 0.001), more often female (45.4% vs.39.5%,P < 0.001), had more often heart failure (87.1% vs.79.2%,P < 0.001) and renal insufficiency (67.0% vs.56.4%,P < 0.001). Obese and non-obese patients were comparable regarding major adverse cardiac and cerebrovascular events (MACCE) and in-hospital death. The combined endpoint of cardio-pulmonary resuscitation (CPR), mechanical ventilation and death was more often reached in non-obese than in obese patients with a trend towards significance (20.6%vs.18.2%,P = 0.066). Obesity was an independent predictor of reduced events regarding the combined endpoint of CPR, mechanical ventilation and death (OR 0.75, 95%CI 0.64-0.89,P < 0.001), but not for reduced in-hospital mortality (P = 0.355) or reduced MACCE rate (P = 0.108). Obesity class III was associated with an elevated risk for pulmonary embolism (OR 5.66, 95%CI 1.35-23.77,P = 0.018).

CONCLUSIONS

We observed an obesity paradox regarding the combined endpoint of CPR, mechanical ventilation and in-hospital death in patients undergoing MitraClip® implantation, but our results failed to confirm an impact of obesity on in-hospital survival or MACCE.

Additive Value of High-Density Lipoprotein Cholesterol and C-Reactive Protein Level Assessment for Prediction of 2-year Mortality After Transcatheter Aortic Valve Implantation

Available prediction models are inaccurate in elderly who underwent transcatheter aortic valve implantation (TAVI). The aim of present study was to analyze the separate and combined prognostic values of baseline HDL-C and C-reactive protein (CRP) levels in patients treated successfully with TAVI who had complete 2-year follow-up. We analyzed 334 patients treated with TAVI from 01/2010 to 07/2017 who had measurements of HDL-C and CRP on admission or during qualification for the procedure. Baseline HDL-C ≤46 mg/dl (areas under the curve [AUC] = 0.657) and CRP ≥0.20 mg/dl (AUC = 0.634) were predictive of 2-year mortality. After stratification with both cutoffs, patients with low HDL-C and concomitant high CRP most often had LVEF ≤50% and were high risk as per EuroSCORE II. Those with isolated CRP elevation had the lowest frequency of LVEF ≤50%, but more sarcopenia (based on psoas muscle area). After adjustment in the multivariate analysis for other identified predictors including EuroSCORE II and statin therapy, isolated HDL-C ≤46 mg/dl (identified in 40 patients) and isolated CRP ≥0.20 mg/dl (n = 109) were both independent predictors of 2-year mortality (hazard ratio [HR] = 2.92 and HR = 2.42, respectively) compared with patients with both markers within established cutoffs (n = 105) who had the lowest 2-year mortality (9.5%). Patients with both markers exceeding cutoffs (n = 80) had the highest risk (HR = 4.53) with 2-year mortality of 42.5%. High CRP was associated with increased mortality within the first year of follow-up, whereas low HDL-C increased mortality in the second year. The combination of both markers with EuroSCORE II enhanced mortality prediction (AUC = 0.697). In conclusion, low baseline HDL-C and high CRP jointly contribute to the prediction of increased all-cause mortality after TAVI.

Sex difference in the prognostic role of body composition parameters in Taiwanese patients undergoing transcatheter aortic valve implantation

Background

Evidence on association between body composition and outcomes of transcatheter aortic valve implantation (TAVI) is limited for Asian patients. This study investigated the prognostic role of body composition parameters in Taiwanese patients undergoing TAVI.

Materials and methods

Data of consecutive patients undergoing TAVI for severe aortic stenosis between May 1, 2010 and August 31, 2019 were prospectively collected in this observational study. The association between body composition parameters (body mass index [BMI], body surface area [BSA], lean body mass [LBM], and LBM index) and cumulative mortality was analyzed using Cox proportional hazard regression model.

Results

A total of 221 patients (mean age 81.4 years), including 125 (56.6%) males, were included with median follow-up duration of 23.8 months. In males, multivariate analysis revealed that higher BMI (P = 0.035), BMI ≥ 20 kg/m² (P = 0.026), and higher LBM index (P = 0.023) significantly predicted lower overall all-cause cumulative mortality. In females, none of the body composition parameters was significantly associated with all-cause cumulative mortality. Paradoxical association between BMI and estimated all-cause cumulative mortality was only significant among male patients.

Conclusion

In Taiwanese TAVI patients, the prognostic effects of BMI and LBM index on cumulative mortality were only observed in males, not in females. Sex differences must be considered when stratifying risk among patients undergoing TAVI.

[The «obesity paradox» and its degree of proof]

The article gives a critical assessment of the so-called obesity paradox. Methodological errors that occur in the organization of studies that studied the obesity paradox and the formation of comparison groups are highlighted. There are also examples of the disappearance of the obesity paradox when taking into account additional risk factors. The organization of prospective studies or more careful consideration of all currently known risk factors for cardiovascular diseases (CVD) will significantly improve the results of the study of the effect of overweight and obesity on mortality in patients with CVD. Thus, despite the biological possibility of the existence of a positive effect of adipose tissue in CVD, the presence of a large number of errors identified in the analysis of the work of researchers obesity paradox require to reconsider the existence of this phenomenon, it should be taken into account the possibility that the obesity paradox may be a consequence of improper design studies to investigate this phenomenon.

Perioperative Care of the Obese Cardiac Surgical Patient

Morbid obesity is associated with impairment of cardiovascular, pulmonary, gastrointestinal, and renal physiology with significant perioperative consequences and has been linked with higher morbidity and mortality after cardiac surgery. Cardiac surgery patients have a higher incidence of difficult airway and difficult laryngoscopy than general surgery patients do, and obesity is associated with difficult mask ventilation and direct laryngoscopy. Positioning injuries occur more frequently because obese patients are at greater risk of pressure injury, such as rhabdomyolysis and compartment syndrome. Despite the association between obesity and several chronic disease states, the effects of obesity on perioperative outcomes are conflicting. Studies examining outcomes of overweight and obese patients in cardiac surgery have reported varying results. An "obesity paradox" has been described, in which the mortality for overweight and obese patients is lower compared with patients of normal weight. This review describes the physiologic abnormalities and clinical implications of obesity in cardiac surgery and summarizes recommendations for anesthesiologists to optimize perioperative care of the obese cardiac surgical patient.