Appendicitis, Body Mass Index, and CT: Is CT More Valuable for Obese Patients than Thin Patients?

2011 ◽  
Vol 77 (4) ◽  
pp. 471-475 ◽  
Author(s):  
Courtney A. Coursey ◽  
Rendon C. Nelson ◽  
Ricardo D. Moreno ◽  
Mayur B. Patel ◽  
Craig A. Beam ◽  
...  

The purpose of our study is to determine whether body mass index (BMI = weight in kg/height in meters2) was related to the rate of negative appendectomy in patients who underwent preoperative CT. A surgical database search performed using the procedure code for appendectomy identified 925 patients at least 18 years of age who underwent urgent appendectomy between January 1998 and September 2007. BMI was computed for the 703 of these 925 patients for whom height and weight information was available. Patients were stratified based on body mass index (BMI 15-18.49 = underweight; 18.5-24.9 = normal weight; 25–29.9 = overweight; 30-39.9 = obese; > 40 = morbidly obese). Negative appendectomy rates were computed. Negative appendectomy rates for patients who did and did not undergo preoperative CT were 27 per cent and 50 per cent for underweight patients, 10 per cent and 15 per cent for normal weight patients, 12 per cent and 17 per cent for overweight patients, 7 per cent and 30 per cent for obese patients, and 10 per cent and 100 per cent for morbidly obese patients. The difference in negative appendectomy rates for overweight patients, obese patients, and morbidly obese patients who underwent preoperative CT as compared with patients in the same BMI category who did not undergo preoperative CT was statistically significant ( P ≤ 0.001). The negative appendectomy rates for overweight patients, obese patients, and morbidly obese patients who underwent preoperative CT were significantly lower than for patients in these same BMI categories who did not undergo preoperative CT.

2020 ◽  
Vol 32 (7) ◽  
pp. 648 ◽  
Author(s):  
Nicolás Ramírez ◽  
Rosa Inés Molina ◽  
Andrea Tissera ◽  
Eugenia Mercedes Luque ◽  
Pedro Javier Torres ◽  
...  

The aim of this study was to recategorise body mass index (BMI) in order to classify patients according to their risk of semen abnormalities. Patients (n=20563) presenting at an andrology laboratory were classified into five groups according to BMI: underweight (BMI <20kg m−2), normal weight (BMI 20–24.9kg m−2), overweight (BMI 25–29.9kg m−2), obese (BMI 30–39.9kg m−2) and morbidly obese (BMI >40kg m−2). Semen quality was evaluated to determine: (1) differences between groups using analysis of variance (ANOVA); (2) the chances of semen abnormalities (using generalised linear models, Chi-squared tests and odds ratios); (3) reference BMI values with andrological predictive power (multivariate conglomerate analyses and multivariate analysis of variance (MANOVA)); and (4) expected values of abnormalities for each new group resulting from BMI recategorisation. Morbidly obese and underweight patients exhibited the highest decrease in semen quality and had higher chances of semen abnormalities. The smallest number of sperm abnormalities was found at a BMI of 27kg m−2. Four reference values were identified, recategorising BMI into four groups according to their risk of semen abnormalities (from lowest to highest risk): Group1,BMI between 20 and 32kg m−2; Group2, BMI <20 and BMI >32–37kg m−2; Group3, BMI >37–42kg m−2; and Group4, BMI >42kg m−2. A BMI <20 or >32kg m−2 is negatively associated with semen quality; these negative associations on semen quality increase from a BMI >37kg m−2 and increase even further for BMI >42kg m−2. The BMI recategorisation in this study has andrological predictive power.


2016 ◽  
Vol 10 (1) ◽  
pp. 240-245 ◽  
Author(s):  
Aristotle D. Protopapas

Introduction: The Body Mass Index (BMI) quantifies nutritional status and classifies humans as underweight, of normal weight, overweight, mildly obese, moderately obese or morbidly obese. Obesity is the excessive accumulation of fat, defined as BMI higher than 30 kg/m2. Obesity is widely accepted to complicate anaesthesia and surgery, being a risk factor for mediastinitis after coronary artery bypass grafting (CABG). We sought the evidence on operative mortality of CABG between standard BMI groups. Materials and Methodology: A simple literature review of papers presenting the mortality of CABG by BMI group: Underweight (BMI ≤ 18.49 kg/m2), normal weight (BMI 18.5–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), mild obesity (BMI 30.0–34.9 kg/m2), moderate obesity (BMI 35.0–39.9 kg/m2), or morbid obesity (BMI ≥ 40.0 kg/m2). Results: We identified 18 relevant studies with 1,027,711 patients in total. Their variability in size of samples and choice of BMI groups precluded us from attempting inferential statistics. The overall cumulative mortality was 2.7%. Underweight patients had by far the highest mortality (6.6%). Overweight patients had the lowest group mortality (2.1%). The group mortality for morbidly obese patients was 3.44%. Discussion: Patients with extreme BMI’s undergoing CABG (underweight ones more than morbidly obese) suffer increased crude mortality. This simple observation indicates that under nutrition and morbid obesity need be further explored as risk factors for coronary surgery.


2014 ◽  
Vol 34 (4) ◽  
pp. 399-408 ◽  
Author(s):  
Narayan Prasad ◽  
Archana Sinha ◽  
Amit Gupta ◽  
Raj Kumar Sharma ◽  
Dharmendra Bhadauria ◽  
...  

ObjectivesWe studied the effect of body mass index (BMI) at peritoneal dialysis (PD) initiation on patient and technique survival and on peritonitis during follow-up.MethodsWe followed 328 incident patients on PD (176 with diabetes; 242 men; mean age: 52.6 ± 12.6 years; mean BMI: 21.9 ± 3.8 kg/m2) for 20.0 ± 14.3 months. Patients were categorized into four BMI groups: obese, ≥25 kg/m2; overweight, 23 – 24.9 kg/m2; normal, 18.5 – 22.9 kg/m2(reference category); and underweight, <18.5 kg/m2. The outcomes of interest were compared between the groups.ResultsOf the 328 patients, 47 (14.3%) were underweight, 171 (52.1%) were normal weight, 53 (16.2%) were overweight, and 57 (17.4%) were obese at commencement of PD therapy. The crude hazard ratio (HR) for mortality ( p = 0.004) and the HR adjusted for age, subjective global assessment, comorbidities, albumin, diabetes, and residual glomerular filtration rate ( p = 0.02) were both significantly greater in the underweight group than in the normal-weight group. In comparison with the reference category, the HR for mortality was significantly greater for underweight PD patients with diabetes [2.7; 95% confidence interval (CI): 1.5 to 5.0; p = 0.002], but similar for all BMI categories of nondiabetic PD patients. Median patient survival was statistically inferior in underweight patients than in patients having a normal BMI. Median patient survival in underweight, normal, overweight, and obese patients was, respectively, 26 patient–months (95% CI: 20.9 to 31.0 patient–months), 50 patient–months (95% CI: 33.6 to 66.4 patient–months), 57.7 patient–months (95% CI: 33.2 to 82.2 patient–months), and 49 patient–months (95% CI: 18.4 to 79.6 patient–months; p = 0.015). Death-censored technique survival was statistically similar in all BMI categories. In comparison with the reference category, the odds ratio for peritonitis occurrence was 1.8 (95% CI: 0.9 to 3.4; p = 0.086) for underweight patients; 1.7 (95% CI: 0.9 to 3.2; p = 0.091) for overweight patients; and 3.4 (95% CI: 1.8 to 6.4; p < 0.001) for obese patients.ConclusionsIn our PD patients, mean BMI was within the normal range. The HR for mortality was significantly greater for underweight diabetic PD patients than for patients in the reference category. Death-censored technique survival was similar in all BMI categories. Obese patients had a greater risk of peritonitis.


2018 ◽  
Vol 12 (8) ◽  
pp. 207-216 ◽  
Author(s):  
Katie B. Tellor ◽  
Steffany N. Nguyen ◽  
Amanda C. Bultas ◽  
Anastasia L. Armbruster ◽  
Nicholas A. Greenwald ◽  
...  

Background: Despite well established empiric dose adjustments for drug and disease-state interactions, the impact of body mass index (BM) on warfarin remains unclear. The objective of this study is to evaluate warfarin requirements in hospitalized patients, stratified by BMI. Methods: This retrospective review included two cohorts of patients: cohort A (patients admitted with a therapeutic international normalized ratio (INR)) and cohort B (newly initiated on warfarin during hospitalization). Exclusion criteria included: age under 18 years, pregnancy, INR (goal 2.5–3.5), and warfarin thromboprophylaxis post orthopedic surgery. The primary outcome was mean total weekly dose (TWD) of warfarin based on weight classification: underweight (BMI <18 kg/m2), normal/overweight (BMI 18–29.9 kg/m2), obese (BMI 30–39.9 kg/m2), and morbidly obese (BMI ⩾ 40 kg/m2). Data were extracted from two community hospitals in reverse chronologic order during July 2015–June 2013 until both study institutions evaluated 100 patients per cohort in each BMI classification or until all patients had been evaluated within the prespecified timeframe. Results: A total of 585 patients were included in cohort A (26 underweight, 200 normal/overweight, 200 obese, 159 morbidly obese). There was a statistically significant difference in TWD as determined by one-way analysis of variance ( p < 0.05). A Tukey post hoc test revealed a statistically significantly higher TWD in morbidly obese (41.5 mg) compared with underweight (25.6 mg, p < 0.05), normal/overweight (28.8 mg, p < 0.05) and obese patients (32.4 mg, p < 0.05). In cohort B, 379 patients were evaluated (9 underweight, 166 normal/overweight, 152 obese, 52 morbidly obese). Overall, 191 patients had a therapeutic INR on discharge (88.9% underweight, 52.4% normal/overweight, 44.1% obese, 55.8% morbidly obese, p = 0.035). Of those, there was a statistically significant difference in TWD ( p = 0.021) with a higher TWD in the morbidly obese (41 mg) compared with underweight patients (24.4 mg, p = 0.017). Conclusions: Based on the results of this study, morbidly obese patients may require higher TWD to obtain and maintain a therapeutic INR.


2019 ◽  
Vol 40 (9) ◽  
pp. 991-996 ◽  
Author(s):  
Anouk P. Meijs ◽  
Mayke B.G. Koek ◽  
Margreet C. Vos ◽  
Suzanne E. Geerlings ◽  
H. Charles Vogely ◽  
...  

AbstractObjective:Obesity is considered a risk factor for surgical site infection (SSI). We quantified impact of body mass index (BMI) on the risk of SSI for a variety of surgical procedures.Methods:We included 2012–2017 data from the Dutch national surveillance network PREZIES on a selection of frequently performed surgical procedures across different specialties. Patients were stratified into 5 categories: underweight (BMI, <18.5 kg/m2), normal weight (BMI, 18.5–25), overweight (BMI, 25–30), obese (BMI, 30–40) and morbidly obese (BMI, ≥40). Multilevel log binomial regression analyses were performed to assess the effect of BMI category on the risk of superficial, deep (including organ-space) and total SSI.Results:Of the 387,919 included patients (ranging from 2,616 for laparoscopic appendectomy to 119,834 for total hip prosthesis), 3,676 (1%) were underweight, 116,778 (30%) had normal weight, 154,339 (40%) were overweight, 104,288 (27%) had obesity, and 8,838 (2%) were morbidly obese. A trend of increasing risk of SSI when BMI increased from normal to morbidly obese was observed for almost all surgery types. The increase was most profound in surgeries with clean wounds, with relative risks for morbidly obese patients ranging up to 7.8 (95% CI, 6.0–10.2) for deep SSI in total hip prosthesis. In chest and abdominal surgeries, the impact was larger for superficial SSI than for deep SSI.Conclusions:The results of our research provide evidence for the need of preventive programs targeting SSI in overweight and obese patients, as well as for the prevention of obesity in the general population.


2018 ◽  
Vol 35 (6) ◽  
pp. 554-561 ◽  
Author(s):  
Aditya A. Kotecha ◽  
Saraschandra Vallabhajosyula ◽  
Dinesh R. Apala ◽  
Erin Frazee ◽  
Vivek N. Iyer

Background: Weight-based dosing strategy for norepinephrine in septic shock patients with extremes of body mass index has been lesser studied. Methods: This historical study of adult septic shock patients was conducted from January 1, 2010, to December 31, 2015, at all intensive care units (ICUs) in Mayo Clinic, Rochester. Patients with documented body mass index were classified into underweight (body mass index <18.5 kg/m2), normal weight (18.5-24.9 kg/m2), and morbidly obese (≥40 kg/m2) patients. Patients with repeat ICU admissions, ICU stay <1 day, and body mass index 25 to 39.9 kg/m2 were excluded. The primary outcome was in-hospital mortality, and secondary outcomes included cumulative norepinephrine exposure acute kidney injury, cardiac arrhythmias, and 1-year mortality. Two-tailed P < .05 was considered statistically significant. Results: From 2010 to 2015, 2016 patients met inclusion—145, 1406, and 466 patients, respectively, in underweight, normal weight, and morbidly obese cohorts. Underweight patients used the highest peak dose and absolute exposure was greatest for morbidly obese patients. In-hospital mortality decreased with increasing log10 body mass index: 41.4% (underweight), 28.4% (normal weight), and 24.7% (morbidly obese), respectively ( P < .001); however, this relationship was not noted at 1 year. Unadjusted log10 norepinephrine cumulative exposure (mg) was associated with higher in-hospital mortality, acute kidney injury, cardiac arrhythmias, and 1-year mortality. After adjustment for demographics, body mass index, comorbidity, and illness severity, log10 norepinephrine exposure was an independent predictor of in-hospital mortality (odds ratio 2.4 [95% confidence interval, 2.0-2.8]; P < .001) and 1-year mortality (odds ratio 1.7 [95% confidence interval, 1.5-2.0]; P < .001). In a propensity-matched analysis of 1140 patients, log10 norepinephrine was an independent predictor of in-hospital mortality (odds ratio 2.2 [95% confidence interval, 1.8-2.6]; P < .001). Conclusions: Morbidly obese patients had lower in-hospital mortality but had higher 1-year mortality compared to normal weight and underweight patients. Cumulative norepinephrine exposure was highest in morbidly obese patients. Total norepinephrine exposure was an independent mortality predictor in septic shock.


Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Olutoyosi Ogunkua ◽  
Abu Minhajuddin ◽  
Jason Pai ◽  
Girish Joshi ◽  
Charles Whitten ◽  
...  

Background: Higher transthoracic impedance may influence the success of defibrillation. We evaluated the relationship between body mass index (BMI) and post-defibrillation outcomes for in-hospital ventricular fibrillation or pulseless ventricular tachycardia (VF/VT). Methods: Within the Get With The Guidelines - Resuscitation multicenter observational registry, we identified adult patients who received biphasic waveform defibrillation for in-hospital VT/VF cardiac arrest between 2008 and2012. We evaluated the relationship between BMI and defibrillation outcomes using a generalized linear mixed regression to adjust for patient arrest characteristics and comorbidities while accounting for within hospital clustering. The primary outcome was successful termination of VF/VT. Secondary outcomes included termination of VF/VT to an organized rhythm with pulse, return of spontaneous circulation ≥ 20 minutes (ROSC), survival at 24 hours, and survival to discharge. Results: A total of 10,561 adult subjects with VF/VT from 268 hospitals were analyzed. BMI was not associated with termination of VT/VF following defibrillation. However, compared to normal BMI patients, underweight and morbidly obese patients were less likely to have termination of VT/VF with restoration of a pulse. Further, underweight patients were less likely to survive to 24 hours and discharge. In contrast, overweight and obese patients were more likely to survive to 24 hours and discharge (see Table). Summary: Successful termination of VF/VT was not associated with BMI. However, a non-linear relationship exists between BMI and termination of VF/VT to an organized rhythm with pulse, ROSC, survival at 24 h and survival at discharge.


Author(s):  
Hiroto Kitahara ◽  
Brooke Patel ◽  
Mackenzie McCrorey ◽  
Sarah Nisivaco ◽  
Husam H. Balkhy

Objective Morbid obesity (body mass index S 35 kg/m2)usually confers a higher perioperative risk in cardiac surgery. Robotic cardiac surgery may have many advantages for these high-risk patients. Methods We retrospectively reviewed patients undergoing robotic cardiac surgery from July 2013 to April 2017 at our institution. We compared the outcomes of morbidly obese patients versus nonobese patients. Results A total of 486 patients underwent robotic cardiac surgery (322 men, median age = 65 years). The robotic procedures were the following: totally endoscopic beating heart coronary artery bypass (n = 263), mitral valve surgery (n = 138), arrhythmia surgery (n = 33), adult congenital surgery (n = 16), pericardiectomy (n = 11), and others (n = 25). The cohorts were divided into the following: normal weight (body mass index < 25, n = 123), overweight (body mass index = 25 to < 30, n = 182), obesity (body mass index = 30 to < 35, n = 105), and morbid obesity (body mass index S 35, n = 76). Morbidly obese patients had a higher rate of hypertension, dyslipidemia, and diabetes mellitus compared with normal or overweight patients. There were no significant differences in morbidity, mean length of intensive care unit stay (2.10 ± 4.27 days), and hospital stay (4.48 ± 5.61 days) among the groups. In-hospital mortality was 1.4% (7/486) with nonsignificant difference. Conclusions Outcomes of robotic heart surgery in morbidly obese patients in our center were acceptable. Over a broad range of cardiac surgical procedures, morbid obesity was not associated with increased morbidity or mortality when these procedures were performed using a robotic approach. These findings can be beneficial in managing this challenging group of patients.


2003 ◽  
Vol 98 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Gregory Slepchenko ◽  
Nicolas Simon ◽  
Bernard Goubaux ◽  
Jean-Claude Levron ◽  
Jean-Pierre Le Moing ◽  
...  

Background Because obesity might affect pharmacokinetic parameters, the authors evaluated the accuracy of target-controlled sufentanil infusion in morbidly obese patients using a pharmacokinetic model usually applied to a normal-weight population. Methods Target-controlled propofol and sufentanil coinfusions were administered to 11 morbidly obese patients (body mass index: 45.0 +/- 6.5 kg/m2 ) undergoing laparoscopic gastroplasty. The target plasma propofol concentration was 3 micro g/ml. The effect-site sufentanil target concentration was initially 0.4 ng/ml but was modified during surgery as a function of blood pressure and heart rate. Plasma sufentanil concentrations were measured from the onset of infusion until 24 h after its termination. The predicted sufentanil target concentrations were calculated by STANPUMP software. Intrasubject data analyzed included calculation of performance error, median performance error, median absolute performance error, divergence, and wobble. Pharmacokinetic analysis was performed using a nonlinear mixed effect model. Results Applied sufentanil target concentrations ranged from 0.3 to 0.65 ng/ml. The mean +/- SD plasma sufentanil concentration measured during spontaneous ventilation was 0.13 +/- 0.03 ng/ml. Median performance error (range) was -13% (-42 to 36%). Median absolute performance error was 26% (8-44%) during infusion and 17% (12-59%) for the 24 h after its completion. The pharmacokinetic sets used slightly overpredicted the concentrations, with a median divergence of -3.4% (-10.2 to 3.1%) during infusion. For body mass index greater than 40, the overestimation of plasma sufentanil concentrations was greater. A two-compartment model with proportional error for interindividual variability best fitted the data. The residual variability was modeled as an additive (0.016 ng/ml) or proportional error (23%). Clearance, central volume of distribution, intercompartmental clearance, and peripheral volume of distribution (coefficient of variation) were 1.27 l/min (23%), 37.1 l (20%), 0.87 l/min (44%), and 92.7 l (22%), respectively. Conclusion The pharmacokinetic parameter set derived from a normal-weight population accurately predicted plasma sufentanil concentrations in morbidly obese patients.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
K Giesinger ◽  
JM Giesinger ◽  
DF Hamilton ◽  
J Rechsteiner ◽  
A Ladurner

Abstract Background Total knee arthroplasty is known to successfully alleviate pain and improve function in endstage knee osteoarthritis. However, there is some controversy with regard to the influence of obesity on clinical benefits after TKA. The aim of this study was to investigate the impact of body mass index (BMI) on improvement in pain, function and general health status following total knee arthroplasty (TKA). Methods A single-centre retrospective analysis of primary TKAs performed between 2006 and 2016 was performed. Data were collected preoperatively and 12-month postoperatively using WOMAC score and EQ-5D. Longitudinal score change was compared across the BMI categories identified by the World Health Organization. Results Data from 1565 patients [mean age 69.1, 62.2% women] were accessed. Weight distribution was: 21.2% BMI < 25.0 kg/m2, 36.9% BMI 25.0–29.9 kg/m2, 27.0% BMI 30.0–34.9 kg/m2, 10.2% BMI 35.0–39.9 kg/m2, and 4.6% BMI ≥ 40.0 kg/m2. All outcome measures improved between preoperative and 12-month follow-up (p < 0.001). In pairwise comparisons against normal weight patients, patients with class I-II obesity showed larger improvement on the WOMAC function and total score. For WOMAC pain improvements were larger for all three obesity classes. Conclusions Post-operative improvement in joint-specific outcomes was larger in obese patients compared to normal weight patients. These findings suggest that obese patients may have the greatest benefits from TKA with regard to function and pain relief one year post-op. Well balanced treatment decisions should fully account for both: Higher benefits in terms of pain relief and function as well as increased potential risks and complications. Trial registration This trial has been registered with the ethics committee of Eastern Switzerland (EKOS; Project-ID: EKOS 2020–00,879)


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