Medical therapies and invasive treatments for coronary artery disease by body mass: the "obesity paradox" in the Get With The Guidelines database

Previous studies of hospitalized patients have suggested an "obesity paradox" with lower short-term mortality as weight increases. We hypothesized that some of this difference might be related to more aggressive management. To evaluate the effect of body mass index (BMI) on treatments and outcomes in patients with coronary artery disease (CAD), the Get With The Guidelines database was investigated. From 409 United States hospitals, 130,139 hospitalizations for CAD were identified with documented height and weight. Patients were stratified by BMI, with 3,305 (2.5%) underweight (BMI <18.5 kg/m(2)), 34,697 (27%) of healthy weight (BMI 18.5 to 24.9 kg/m(2)), 47,883 (37%) overweight (BMI 25 to 29.9 kg/m(2)), 37,686 (29%) obese (BMI 30 to 39.9 kg/m(2)), and 6,568 (5%) extremely obese (BMI > or =40 kg/m(2)). As BMI increased, patients were significantly younger but more likely to be men and have hypertension, diabetes, and hyperlipidemia. Unadjusted in-hospital mortality was highest in the underweight group (10.4%) and significantly lower in the healthy-weight (5.4%), overweight (3.1%), obese (2.4%), and extremely obese (2.9%) patients. Higher BMI was associated with increased use of standard medical therapies such as aspirin, beta blockers, inhibitors of the renin-angiotensin system, and lipid-lowering therapy in the hospital and at discharge. In adjusted analyses, compared with the healthy-weight group, overweight and obese patients were more likely to undergo invasive procedures and had lower mortality (p <0.01 for all odds ratios). In conclusion, increasing BMI appears to be associated with better use of guideline-recommended medical treatment and invasive management of CAD, which may explain the observed lower rates of in-hospital mortality.     

Body mass index, prognosis and mode of death in chronic heart failure: results from the Valsartan Heart Failure Trial

AIMS: To assess the relationship between body mass index (BMI), mortality and mode of death in chronic heart failure (CHF) patients; to define the shape of the relationship between BMI and mortality. METHODS AND RESULTS: We performed a post-hoc analysis of 5010 patients from the Valsartan Heart Failure Trial. The end-points of the study were all-cause and cardiovascular mortality. Mortality rate was 27.2% in underweight patients (BMI<22 kg/m2), 21.7% in normal weight patients (BMI 22-24.9 kg/m2), 17.9% in overweight patients (BMI 25-29.9 kg/m2) and 16.5% in obese patients (BMI>30 kg/m2) (p<0.0001). The rates of non-cardiovascular death did not differ among groups. The risk of death due to progressive heart failure was 3.4-fold higher in the underweight than in the obese patients (p<0.0001). Normal weight, overweight and obese patients had lower risk of death as compared with underweight patients (p=0.019, HR 0.76, 95% CI 0.61-0.96; p=0.0005, HR 0.68, 95% CI 0.55-0.84; p=0.003, HR 0.67, 95% CI 0.52-0.88, respectively) independently of symptoms, ventricular function, beta-blocker use, C-reactive protein and brain natriuretic peptide levels. CONCLUSIONS: In CHF patients a higher BMI is associated with a better prognosis independently of other clinical variables. The relationship between mortality and BMI is monotonically decreasing.     

The effect of body mass index on patient outcomes in a medical ICU

STUDY OBJECTIVES: To examine the effect of patient body mass index (BMI) on outcome in intensive care. DESIGN: In a prospective study, the patients were classified into groups based on the calculated BMI, as follows: BMI < 19.0 (n = 350), > or = 19.0 and < 25.0 (n = 663), > or = 25.0 and < 29.9 (n = 585), > or = 30.0 and < 40.0 (n = 396), and > or = 40.0 (n = 154). Groups were compared by age, APACHE (acute physiology and chronic health evaluation) II score, mortality, ICU length of stay (LOS), hospital LOS, number receiving ventilation, and ventilator-days. Adverse events including nosocomial pneumonia, ventilator-days per patient, failed extubations, and line-related complications were recorded. SETTING: The study was conducted in a 9-bed medical ICU of a 650-bed tertiary care hospital. MEASUREMENTS: Height and weight were prospectively recorded for the first ICU admission during a hospital stay. RESULTS: Between January 1, 1997, and August 1, 2001, 2,148 of 2,806 patients admitted to the ICU had height and weight recorded. There were no differences in APACHE II score, mortality, ICU LOS, hospital LOS, number receiving ventilation, ventilator-days, average total cost, or average variable cost among the five groups. However, the severely obese patients were more frequently female and younger than those who were overweight and obese (p < 0.001). Adverse events were infrequent, but there were no differences between the obese/very obese compared with others. CONCLUSION: BMI has minimal effects on ICU outcome after patients are admitted to a critical care unit.     

The association between body mass index and clinical outcomes in acute lung injury

BACKGROUND: The association between body mass index (BMI) and outcomes in critically ill patients is unclear. Our objective was to determine the association between BMI and outcomes in a population-based cohort of patients with acute lung injury (ALI). METHODS: In a prospective cohort study of all ICU patients in King County, Washington, with ALI in 1 year (1999 to 2000), 825 patients had a BMI recorded. Using multivariate analysis, patients in the abnormal BMI groups were compared to normal patients in the following areas: mortality, hospital length of stay (LOS), ICU LOS, duration of mechanical ventilation, and discharge disposition. RESULTS: There was no mortality difference in any of the abnormal BMI groups compared to normal-weight patients. Severely obese patients had longer hospital LOS than normal-weight patients (mean increase, 10.5 days; 95% confidence interval [CI], 4.8 to 16.2 days; p < 0.001); this was accentuated when analysis was restricted to survivors (mean increase, 14.3 days; 95% CI, 7.1 to 21.6 days; p < 0.001). ICU LOS and duration of mechanical ventilation were also longer in the severely obese group when analysis was restricted to survivors (mean increase, 5.6 days; 95% CI, 1.3 to 9.8 days; p = 0.01; and mean increase, 4.1 days; 95% CI, 0.4 to 7.7 days, respectively; p = 0.03). Severely obese patients were more likely to be discharged to a rehabilitation or skilled nursing facility than to home. CONCLUSIONS: BMI is not associated with mortality in patients with ALI, but severe obesity is associated with increased morbidity and resource utilization in the hospital and after discharge.     

Effect of body mass index on early outcomes in patients undergoing coronary artery bypass surgery

OBJECTIVES: This study sought to quantify the effect of body mass index (BMI) on early clinical outcomes following coronary artery bypass grafting (CABG). BACKGROUND: Obesity is considered a risk factor for postoperative morbidity and mortality after cardiac surgery, although existing evidence is contradictory. METHODS: A concurrent cohort study of consecutive patients undergoing CABG from April 1996 to September 2001 was carried out. Main outcomes were early death; perioperative myocardial infarction; infective, respiratory, renal, and neurological complications; transfusion; duration of ventilation, intensive care unit, and hospital stay. Multivariable analyses compared the risk of outcomes between five different BMI groups after adjusting for case-mix. RESULTS: Out of 4,372 patients, 3.0% were underweight (BMI <20 kg/m(2)), 26.7% had a normal weight (BMI >or=20 and <25 kg/m(2)), 49.7% were overweight (BMI >or=25 and <30 kg/m(2)), 17.1% obese (BMI >or=30 and <35 kg/m(2)) and 3.6% severely obese (BMI >or=35 kg/m(2)). Compared with the normal weight group, the overweight and obese groups included more women, diabetics, and hypertensives, but fewer patients with severe ischemic heart disease and poor ventricular function. Underweight patients were more likely than normal weight patients to die in hospital (odds ratio [OR] = 4.0, 95% CI 1.4 to 11.1), have a renal complication (OR = 1.9, 95% confidence interval [CI] 1.0 to 3.7), or stay in hospital longer (>7 days) (OR = 1.7, 95% CI 1.1 to 2.5). Overweight, obese, and severely obese patients were not at higher risk of adverse outcomes than normal weight patients, and were less likely than normal weight patients to require transfusion (ORs from 0.42 to 0.86). CONCLUSIONS: Underweight patients undergoing CABG have a higher risk of death or complications than normal weight patients. Obesity does not affect the risk of perioperative death and other adverse outcomes compared to normal weight, yet obese patients appear less likely to be selected for surgery than normal weight patients.     

Impact of body mass index on early outcome and late survival in patients undergoing coronary artery bypass grafting or valve surgery or both

The influence of body mass on outcome after cardiac surgery remains controversial. The aim of this study was to analyze the impact of body mass index (BMI) on early and late outcomes in a large series of patients who underwent cardiac surgery. We retrospectively analyzed 5,950 consecutive patients who underwent cardiac surgery between January 1998 and September 2006. Patients were divided into 4 groups defined by BMI (weight divided by square of height [kilograms divided by meters squared]): underweight (20 to 25 to 30 kg/m2): 22%, n=1,292. Analysis was further refined by performing subgroup analysis according to the surgical procedure (valve surgery, coronary artery bypass grafting, and combined valve/coronary artery bypass grafting). Main outcome measure was the association between BMI and hospital mortality, postoperative morbidities, and late survival. Hospital mortality was 3.4% (n=203). There was no association between BMI and hospital mortality in the entire patient population. Multivariate analysis revealed obesity as an independent predictor of hospital mortality in patients who underwent valve surgery (odds ratio [OR] 2.3, 95% confidence interval [CI] 1.2 to 4.5, p=0.018). Obesity was associated with an increased risk for sternal infection (OR 1.8, 95% CI 1.1 to 2.9, p=0.013), whereas underweight correlated with postoperative bleeding (OR 2.0, 95% CI 1.1 to 3.6, p=0.017). Underweight was an independent predictor for decreased long-term survival (OR 1.8, 95% CI 1.3 to 2.5, p<0.001). In conclusion, cardiac surgery can be performed safely in both underweight and obese patients but carries a higher postoperative rate of major complications.     

Influence of overweight on ICU mortality: a prospective study

STUDY OBJECTIVE: Overweight patients seem to have a poorer outcome and a higher risk of complications during their stay in the ICU. We conducted a prospective study in order to examine the relationship between body mass index (BMI) and mortality among these patients. DESIGN: Prospective clinical study. SETTING: A 24-bed medical ICU in a university-affiliated hospital. METHODS: All patients hospitalized in the ICU over a 1-year period were included except those dying or being discharged from the hospital within 24 h of admission. Overweight patients were defined as those having a BMI > 75th percentile of this selected ICU population. Other data collected were demographic and ICU-related data. The Mann-Whitney test was used to compare numeric data between groups (ie, obese and nonobese populations). Variables that were significantly associated with ICU mortality by univariate analysis were entered into a multiple logistic regression model, allowing the determination of independent predictors. RESULTS: Eight hundred thirteen patients were included in the study. The limit of the upper quartile of the BMI was 27. This value was used to separate obese (n = 215) and nonobese (n = 598) groups. Significant differences between obese and nonobese patients were observed in age, length of stay in the ICU, simplified acute physiology score (SAPS) II, and ICU mortality. The observed mortality of obese patients was significantly higher than that predicted by SAPS II (32% vs 18%, respectively; p = 0.001). No difference was observed in frequency of nosocomial infection or duration of mechanical ventilation for mortality in ICU patients. Using a multivariate analysis, the predictive factors of mortality were SAPS II (p < 0.0001) and BMI > 27 (p < 0.01). CONCLUSION: This is the first prospective study showing high BMI value as an independent prognostic factor of mortality for ICU patients. The prognostic scoring systems currently in use, which were designed to predict the mortality of ICU patients, do not include BMI or do not consider obesity. These may underestimate, therefore, the risk for the specific population of obese patients.     

Impact of body mass index for patients undergoing pancreaticoduodenectomy

AIM: To evaluate the impact of body mass index (BMI) on short and long term results after pancreaticoduodenectomies (PD).METHODS: A consecutive series of PDs performed at the Karolinska University Hospital from 2004 till 2010 were retrieved from our prospective database. The patients were divided by BMI into overweight/obese (O; BMI ≥ 25 kg/m²) and controls (C; BMI < 25 kg/m²). Demographics, peri-operative data, morbidity, mortality, pancreatic fistula (PF) rate, length of stay (LOS), hospital costs, histology, and survival were analyzed. An additional sub analysis of survival was performed in patients with a diagnosis of pancreatic ductal adenocarcinoma (PDAC) and divided in underweight, normal-weight, overweight and obese.RESULTS: A total of 367 PDs were included (O = 141/C = 226). No differences were found between O and C regarding demographics, peri-operative data, costs, morbidity or mortality. O was associated with higher intra-operative blood loss (1392 ± 115 mL vs 1121 ± 83 mL; P = 0.01), rate of PF (20% vs 9.5%; P = 0.006) and marginally longer LOS (18 ± 0.9 d vs 15 ± 1.1 d; P = 0.05). An increasing risk for PF was observed with increasing BMI. The 1, 3 and 5 years survival rate was similar in O and C in PDAC (68.7%, 26.4% and 8.8% vs 66.1%, 30.9% and 17.9% respectively; P = 0.9). When the survival was analyzed using 4 different categories of BMI (underweight, normal, overweight and obese), a trend was seen toward a difference in survival, with a worse prognosis for the underweight and obese patients compared to normal weight and overweight patients.CONCLUSION: Overweight increases the risk for intra-operative bleeding and PF, but do not otherwise alter short or long term outcome after PD for pancreatic cancer.     

Impact of body mass index on in-hospital outcomes following percutaneous coronary intervention (report from the New York State Angioplasty Registry)

Although obesity traditionally has been considered a risk factor for coronary revascularization, recent data from registry studies have shown a possible protective effect of obesity on outcomes after percutaneous coronary intervention (PCI). Using data from the New York State Angioplasty database over a 4-year period, we analyzed 95,435 consecutive patients who underwent PCI. Classification of body mass index (BMI) was: underweight (<18.5 kg/m(2)), healthy weight (18.5 to 24.9 kg/m(2)), overweight (25 to 29.9 kg/m(2)), moderate obesity (class I) (30 to 34.9 kg/m(2)), severe obesity (class II) (35 to 39.9 kg/m(2)), and very severe obesity (class III) (>40 kg/m(2)). In-hospital postprocedural mortality and complications were compared among these groups. Compared with healthy weight patients, patient with class I or II obesity had lower in-hospital mortality and major adverse cardiac events (MACE) (combined death, myocardial infarction, and emergency surgery), whereas patients at the extremes of BMI (underweight and class III obese patients) had significantly higher mortality and MACE rates. Adjusted hazards ratios for in-hospital mortality according to BMI were: underweight (2.69), healthy weight (1.0), overweight (0.90), class I obese (0.74), class II obese (0.67), and class III obese (1.63). Patients at the extremes of BMI (<18.5 and >40 kg/m(2)) were at increased risk of MACEs, including mortality after PCI, whereas patients who were moderately to severely obese (BMIs 30 to 40 kg/m(2)) were at lower risk than healthy weight patients.     

Body mass index,cardiac surgery and clinical outcome. A single-center experience with 9125 patients

Background and AimThere is evidence for a J-shaped association between Body Mass Index (BMI) and all-cause mortality in general populations. In cardiac surgical patients, the effect of BMI on mortality and major adverse cardiac and cerebrovascular events (MACCE) is not completely clear.Methods and ResultsWe investigated the effect of BMI on MACCE (primary endpoint), as well as intensive care unit (ICU)-related outcomes and mid-term mortality in 9125 consecutive patients who were operated on at our institution between July 2009 and July 2012. Of the study cohort, 3.0% were underweight (BMI < 20 kg/m²), 28.0% had a normal BMI (20–24.99 kg/m²), 43.1% were overweight (BMI 25–29.99 kg/m²), 19.3% were obese (BMI 30–34.99 kg/m²), and 6.6% were severely obese (BMI ≥ 35 kg/m²). Compared with overweight patients (lowest incidence of MACCE), the multivariable-adjusted odds ratio of MACCE in severely obese patients was 1.39 (95% CI: 1.03–1.87). Underweight and severely obese patients had the longest risk-adjusted duration of mechanical ventilator support and ICU stay (P-values 0.004–0.001). The red blood cell concentrates requirement was highest in underweight patients (P < 0.001). Compared with normal and overweight patients, the multivariable-adjusted hazard ratio of 2-year mortality was higher in underweight patients (1.72 [95% CI: 1.26–2.36] and =2.07 [95% CI: 1.51–2.83], respectively), but did not differ significantly in severely obese patients.ConclusionData demonstrate that both severe obesity and underweight are independent risk factors for operative complications in cardiac surgical patients. With respect to mid-term survival, special attention should be paid to underweight patients scheduled for cardiac surgery.     

The association between body mass index and in-hospital outcome among patients with acute myocardial infarction—Insights from China Acute Myocardial Infarction (CAMI) registry

BackgroundThe relationship between body mass index (BMI) and in-hospital mortality risk among patients with acute myocardial infarction (AMI) remains controversial.Methods and ResultsWe included 35,964 patients diagnosed with AMI in China Acute Myocardial Infarction registry between January 2013 and December 2016. Patients were categorized into 4 groups according to BMI level: BMI <18.5, 18.5–24.9, 25–30, and ≥30 kg/m² for underweight, normal, overweight, and obese groups, respectively. Clinical data were extracted for each patient, and multivariable logistic regression analysis was used to examine the association between BMI level and in-hospital mortality. Compared with normal-weight patients, obese patients were younger, more often current smokers, and more likely to have hypertension, hyperlipidemia, and diabetes. Multivariable regression analysis results demonstrated that compared with normal group, underweight group had significantly higher in-hospital mortality (odds ratio [OR]: 1.34; 95% confidence interval [CI]: 1.06–1.69; p = 0.016), while overweight group (OR: 0.86; 95% CI: 0.77–0.97; p = 0.011) and obese group (OR: 0.65; 95% CI: 0.46–0.91; p = 0.013) had lower mortality. All subgroups showed a trend toward lower in-hospital mortality risk as BMI increased.ConclusionsOur study provided robust evidence supporting “obesity paradox” in a contemporary large-scale cohort of patients with AMI and demonstrated that increased BMI was independently associated with lower in-hospital mortality.     

Predictors of major postoperative cardiac complications in a surgical ICU.

INTRODUCTION: Cardiovascular complications are associated with increased mortality and morbidity during the postoperative period, resulting in longer hospital stay and higher treatment costs. OBJECTIVES: The aim of this study was to identify predictors of major postoperative cardiac complications. METHODS: 187 patients undergoing noncardiac surgery, admitted to a surgical intensive care unit (ICU) between November 2004 and April 2005. Variables recorded were age, gender, American Society of Anesthesiologists (ASA) physical status, type and magnitude of surgery, mortality, ICU and hospital length of stay (LOS), Simplified Acute Physiology Score II (SAPS II), cardiac troponin I (cTnI) at postoperative day 0, 1, 2 and 3, history of hypertension, hyperlipidemia, Revised Cardiac Risk Index (RCRI) score, major cardiac events (MCE): acute myocardial infarction (AMI), pulmonary edema (PE), ventricular fibrillation (VF) or primary cardiac arrest (PCA). Correlations between variables and MCE were made by univariate analysis by simple logistic regression with odds ratio (OR) and 95% confidence interval (95% CI). RESULTS: Total of 14 MCE: 9 AMI, 1 VF, 4 PE. Significant risk factors for MCE were high-risk surgery (OR 8.26, 95% CI 1.76-38.85, p = 0.008), RCRI > or = 2 (OR 4.0, 95% CI 1.22-13.16, p = 0.022), admission cTnI (OR 1.46, 95% CI 1.07-1.99, p = 0.018); day 1 cTnI (OR 1.75, 95% CI 1.27-2.41, p = 0.001); day 2 cTnI (OR 2.23, 95% CI 1.24-3.98, p = 0.007), SAPS II (OR 1.08, 95% CI 1.04-1.12, p < 0.001). Patients with MCE had longer ICU LOS (19.1 +/- 19.3 days against 3.4 +/- 4.9) (OR 1.15, 95% CI 1.08-1.22, p < 0.001) and higher ICU mortality (21.4% versus 4.6%) (OR 5.63, 95% CI 1.31-24.23, p = 0.02) in the ICU. CONCLUSIONS: High-risk surgery, RCRI > or = 2, cTnI levels and SAPS II were predictors of postoperative MCE. Patients with MCE had longer ICU stay and higher mortality rate.     

Body mass index and recovery of activities of daily living in older patients with femoral fracture: An analysis of a national inpatient database in Japan

ObjectiveTo evaluate the effects of body mass index (BMI) on recovery of activities of daily living (ADL) in older Asian patients with femoral fracture registered in a nationwide inpatient database in Japan.MethodsWe retrospectively analyzed data of patients aged ≥65 years with acute femoral fracture between April 2014 and November 2017 in the Diagnosis Procedure Combination database. Patients were classified into the following categories based on BMI (kg/m²): underweight (<18.5); normal weight (18.5–22.9); overweight (23–27.4); obese (≥27.5); and missing data. Demographic data included age, sex, type of fracture, comorbidities, and Barthel Index (BI). The primary outcome was BI at discharge and secondary outcomes were the overall complication rate and discharge to home.ResultsIn total, data for 13,348 patients were extracted from the database, of whom 80.3 % were female. At discharge, underweight patients had lower BI than overweight or obese patients. In multivariable analysis, underweight and missing BMI data were associated with lower BI at discharge (partial regression coefficients −2.324 and −5.763, respectively). In contrast, overweight and obese were correlated with higher BI (3.080 and 5.732, respectively). Underweight was independently associated with a higher overall complication rate (odds ratio 1.195) and a lower rate of discharge to home (odds ratio 0.865).ConclusionsUnderweight was associated with poorer performance in ADL, higher risk of complications, and lower rate of discharge to home in older Asian patients with femoral fracture. Overweight and obese had positive effects on ADL.     

Outcome of older patients requiring ventilatory support in intensive care: impact of nutritional status

OBJECTIVES: To determine predictors of mortality in the intensive care unit (ICU) and at 6 months after discharge; to assess the lifestyles of survivors 6 months after discharge. DESIGN: Prospective cohort study of patients screened upon admission and 6 months after discharge from the ICU. SETTING: The ICU of a university hospital. PARTICIPANTS: One hundred sixteen consecutive patients age 70 and older admitted to the ICU and treated by mechanical ventilation for at least 24 hours. MEASUREMENTS: A comprehensive medical, functional, nutritional, and social assessment was undertaken for each patient upon admission to the ICU. Functional status and residence were recorded for patients still living 6 months after discharge from the ICU. RESULTS: Mortality in the ICU and 6 months after discharge was 31% and 52%, respectively. The predictors of in-ICU mortality on multivariate analysis were a high omega score per day in the ICU and a high simplified acute physiologic score corrected for points related to age (SAPS IIc). The predictors of mortality at 6 months were a high omega score per day in the ICU, a high SAPS IIc, and a mid-arm circumference (MAC) under the 10th percentile for the older French population in good health. Six months after discharge from the ICU, 91% of the surviving patients had the same residential status and 89% had a similar or improved functional status compared with pre-admission status. CONCLUSIONS: Although severity of illness remains an important predictor of in-ICU mortality and mortality at 6 months after release from ICU, we found that impaired nutritional status upon admission was related to 6-month mortality. These results emphasize the need for a systematic nutritional assessment in older patients admitted to the ICU and treated by mechanical ventilation.     

Does “Obesity Paradox” Apply for Patients Undergoing Transcatheter Aortic Valve Replacement?

BackgroundData is controversial regarding the existence of an “obesity paradox” in patients undergoing Transcatheter Aortic Valve Replacement (TAVR). We sought to investigate the prognostic value of the body mass index (BMI) on outcomes following TAVR.MethodsThis is an observational, single-center study involving all patients who underwent TAVR from 2009 to 2019. BMI was calculated in all patients before TAVR. The cohort was subdivided into four groups: underweight (<20 kg/m²), normal weight (≥20 to <25 kg/m²), overweight (≥25 to <30 kg/m²) and obese (≥30 kg/m²). The main endpoint was all-cause 30-day and one-year mortality.ResultsA total of 412 patients (mean age 79.6 ± 7.8 years, mean STS score 5.3 ± 3.6) were included. Patients were grouped as follows: underweight (n = 35, 8.5%), normal weight (n = 121, 29.4%), overweight (n = 140, 34%) and obese (n = 116, 28.1%). Obese patients were younger, included more females and had lower STS score than the rest of the cohort whereas underweight patients were older, had higher STS score, more chronic kidney disease, more left ventricular dysfunction and more often underwent non-transfemoral TAVR. BMI predicted 30-day survival (AUC:0.692 [95%CI 0.522–0.862]; p = 0.030) with an optimal cut-off of 24.4 (sensitivity = 66.6%, specificity = 63.6%). On multivariate analysis, higher BMI trended toward lower 30-day mortality (HR = 0.87 [95%CI 0.75–1.01]; p = 0.071).Thirty-day mortality was higher in the underweight group (8.3%) in comparison with other BMI subgroups (normal weight 2.5%, overweight 1.4%, obese 0.9%; p = 0.045). However, no significant difference was found after adjustment of confounders (all p = NS). BMI did not predict one-year mortality. No significant difference in one-year survival was observed between the four BMI subgroups (log rank p = 0.925).ConclusionBMI could represent an interesting prognostic tool for short-term mortality in patients undergoing TAVR. BMI < 20 kg/m² was associated with higher 30-day mortality. Symptoms improved similarly in obese patients compared to lower BMI patients. For 30-day survivors, no evidence of the existence of an obesity paradox was observed in this cohort.     

The obesity paradox: body mass index and outcomes in patients with heart failure

BACKGROUND: In the general population, obesity is associated with increased risk of adverse outcomes. However, studies of patients with chronic disease suggest that overweight and obese patients may paradoxically have better outcomes than lean patients. We sought to examine the association of body mass index (BMI) and outcomes in stable outpatients with heart failure (HF). METHODS: We analyzed data from 7767 patients with stable HF enrolled in the Digitalis Investigation Group trial. Patients were categorized using baseline BMI (calculated as weight in kilograms divided by the square of height in meters) as underweight (BMI <18.5), healthy weight (BMI, 18.5-24.9, overweight (BMI, 25.0-29.9), and obese (BMI > or =30.0). Risks associated with BMI groups were evaluated using multivariable Cox proportional hazards models over a mean follow-up of 37 months. RESULTS: Crude all-cause mortality rates decreased in a near linear fashion across successively higher BMI groups, from 45.0% in the underweight group to 28.4% in the obese group (P for trend <.001). After multivariable adjustment, overweight and obese patients were at lower risk for death (hazard ratio [HR], 0.88; 95% confidence interval [CI], 0.80-0.96, and HR, 0.81; 95% CI, 0.72-0.92, respectively), compared with patients at a healthy weight (referent). In contrast, underweight patients with stable HF were at increased risk for death (HR 1.21; 95% CI, 0.95-1.53). CONCLUSIONS: In a cohort of outpatients with established HF, higher BMIs were associated with lower mortality risks; overweight and obese patients had lower risk of death compared with those at a healthy weight. Understanding the mechanisms and impact of the "obesity paradox" in patients with HF is necessary before recommendations are made concerning weight and weight control in this population.     

Impact of body mass index on outcome in patients after coronary artery bypass grafting with and without valve surgery.

BACKGROUND: Among other preoperative parameters, extremely low or extremely high body mass index (BMI) has been discussed as a substantial risk factor for postoperative complications after cardiac surgery. However, the exact relationship between BMI and postoperative risk has not yet been defined. METHODS: We retrospectively investigated consecutive patients (n=22666) who underwent coronary artery bypass grafting with or without concomitant valve surgery between 1990 and 2001 in our institution. A number of preoperative and intraoperative variables and BMI (as a quadratic term) were used in a logistic regression model as covariates. Further, the patients were divided into 20 groups each with an increase in BMI of 1kg/m(2)(BMI as a categorical variable). The calculations of odds ratios (ORs) for re-intubation, infection, re-exploration, prolonged stay (>1 day) on the intensive care unit (ICU) and 30-day mortality were adjusted for age, gender and type of surgery. RESULTS: In the multivariate analysis only age (OR between 1.01 and 1.038, P<0.01), additional aortic valve (OR between 1.335 and 2.977, P<0.01) or mitral valve surgery (OR between 2.123 and 3.301, P<0.01) showed significant impact on all five end-points. Patients with BMI between 25 and 35kg/m(2)were not at elevated risk for any of the investigated end-points, except for infection. Patients with BMI between 21 and 27kg/m(2)were not at elevated risk for infection. The ORs for postoperative complications were significantly higher in underweight patients compared with obese or severely obese patients, except those for infection. Further, the underweight patients presented significantly more comorbidity. CONCLUSION: Patients with low BMI are at higher risk after cardiac surgery than obese or severely obese patients. We hypothesize that a preoperative focus on avoiding and/or reversing cachexia may be more efficacious than reducing obesity in reducing the overall risk associated with heart surgery.     

The relationship of body mass index to outcomes after percutaneous coronary intervention

OBJECTIVES: To evaluate the effect of body mass index (BMI) on in-hospital outcomes in patients undergoing percutaneous coronary intervention (PCI) at a tertiary care hospital center in Ontario, Canada. BACKGROUND: Obesity is present in a large population of patients undergoing revascularization with PCI. METHODS: Retrospective analysis of 4,631 patients aged 62.0 +/- 12 years, stratified by BMI into five groups: nonobese (<25 kg/m2); overweight (25-29.9 kg/m2); class I obese (30-34.9 kg/m2); class II obese (35-39.9 kg/m2); and class III obese (> or =40 kg/m2). RESULTS: A BMI >25 kg/m2 was present in 79% of patients, and 35% were obese (BMI > or =30 kg/m2). Obese patients, particularly the class III obese, were significantly younger and had higher prevalence of diabetes, hypertension, and dyslipidemia (P < 0.0001). After adjustment for several covariates, lower BMI was independently associated with higher risk of major bleeding requiring transfusion (adjusted odds ratio [OR]= 1.40, 95% confidence interval [CI] 1.04-1.88, P = 0.025), and femoral hematoma (adjusted OR = 1.14, 95% CI 1.05-1.25, P = 0.003) in lean (<20 kg/m2) and normal BMI (20-24.9 kg/m2) patients. Obesity was not associated with death, myocardial infarction, repeat PCI, coronary artery bypass grafting, or major adverse cardiac event. CONCLUSIONS: Obesity is not associated with increased risk of adverse postprocedural in-hospital outcomes. These findings, however, do not discount the need for sustained efforts in secondary prevention of obesity and its consequences.     

Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders

BACKGROUND: Federal and state agencies are considering ICU performance assessment and public reporting; however, an accurate method for measuring performance must be selected. In this study, we determine whether a substantial variation in ICU mortality performance still exists in modern ICUs, and compare the predictive accuracy, reliability, and data burden of existing ICU risk-adjustment models. METHODS: A retrospective chart review of 11,300 ICU patients from 35 California hospitals from 2001 to 2004 was performed. We calculated standardized mortality ratios (SMRs) for each hospital using the mortality probability model III (MPM(0) III), the simplified acute physiology score (SAPS) II, and the acute physiology and chronic health evaluation (APACHE) IV risk-adjustment models. We compared discrimination, calibration, data reliability, and abstraction time for the models. RESULTS: Regardless of the model used, there was a large variation in SMRs among the ICUs studied. The discrimination and calibration were adequate for all risk-adjustment models. APACHE IV had the best discrimination (area under the receiver operating characteristic curve [AUC], 0.892) compared to MPM(0) III (AUC, 0.809), and SAPS II (AUC, 0.873; p < 0.001). The models differed substantially in data abstraction times, as follows: MPM(0)III, 11.1 min (95% confidence interval [CI], 8.7 to 13.4); SAPS II, 19.6 min (95% CI, 17.0 to 22.2); and APACHE IV, 37.3 min (95% CI, 28.0 to 46.6). CONCLUSIONS: We found substantial variation in the ICU risk-adjusted mortality rates that persisted regardless of the risk-adjustment model. With unlimited resources, the APACHE IV model offers the best predictive accuracy. If constrained by cost and manual data collection, the MPM(0) III model offers a viable alternative without a substantial loss in accuracy.     

Safety and efficacy of direct oral anticoagulants across body mass index groups in patients with venous thromboembolism: a retrospective cohort design

Current literature on the safety and efficacy of direct oral anticoagulants (DOACs) in patients of extreme weights are limited, however, they are still being prescribed in these populations. The objective of this study is to describe the safety and efficacy of DOAC therapy in patients of extreme weights for the treatment of venous thromboembolism (VTE) using body mass index (BMI) groups. A multi-site, retrospective cohort design at four hospitals was performed. Patients who experienced an initial VTE between November 2012 and August 2017 and placed on a DOAC were included. Patients were defined as: extremely obese (EO) if BMI?≥?40 kg/m², obese if BMI 30–39.9 kg/m², normal/overweight if BMI 18.5–29.9 kg/m², and underweight if BMI?<?18.5 kg/m². The primary efficacy outcome of recurrent VTE and primary safety outcome of major bleeding (MB) within 12 months were compared between weights. Univariate statistical tests and multivariate logistic regression analyses were performed. Rates of recurrent VTE showed no significant differences (p?=?0.58) across groups; 7.8% (11/142) EO, 4.7% (18/383) obese, 5.2% (27/517) normal/overweight, and 5.9% (1/17) underweight. Proportions of MB were overall significantly different (p?=?0.026); 6.3% (9/142) EO, 10.4% (40/383) obese, 10.1% (52/517) normal/overweight, and 29.4% (5/17) underweight. EO and obese patients had similar odds of MB compared to normal/overweight (OR 0.61, 95% CI [0.29, 1.26] and OR 1.04, 95% CI [0.67, 1.61]). Underweight patients showed larger odds of MB compared to normal/overweight (OR 3.73, 95% CI [1.26, 11.0]). This study found that recurrence of VTE was not associated with BMI. However, the proportions of major bleeding were statistically different among the BMI categories.