scholarly journals Anaesthetists’ drug dosing practices in class III obese surgical patients: A bi-national survey

2019 ◽  
Vol 47 (6) ◽  
pp. 516-521
Author(s):  
Zahid Hussain ◽  
Karl Gadd ◽  
Colin Curtain ◽  
Corinne Mirkazemi ◽  
Gregory M Peterson ◽  
...  

Class III obese (body mass index ≥ 40 kg/m2) patients, now regularly encountered clinically, have increased perioperative risks, including potentially from suboptimal drug dosing. However, current dosing guidelines are based on low-level evidence and may not be widely accepted. This study aimed to investigate anaesthetists’ dosing practices for class III obese surgical patients, explore if they had experienced an increased incidence of adverse events potentially related to drug dosing with these patients and assess which resources they consulted for dosing advice in this population. An electronic survey was emailed to 1000 randomly selected members of the Australian and New Zealand College of Anaesthetists. Data were summarised and the Pearson’s χ2 test was used to compare respondents’ genders, geographic locations and seniority designations with the greater Australian and New Zealand College of Anaesthetists’ membership. There were 230 completed responses (response rate 23%). A large proportion (46%–76%) of respondents indicated they dose class III obese patients in keeping with current recommendations; however, substantial heterogeneity in dosing practices was found. Lean body weight was the most frequently used regimen for dosing propofol, non-depolarising muscle relaxants, sugammadex and opioids, whereas total body weight was most frequently used for suxamethonium. Nearly 70% of respondents reported using at least one resource to assist their dosing practices in obesity. Importantly, increased incidences of adverse events in class III obese patients related to drug dosing were commonly experienced by respondents. Until higher-level evidence is available for dosing class III obese patients, anaesthetists should consider current recommendations and exercise increased attention to dosing. Further clinician education may assist in optimising dosing in this patient group.

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Alaa Sabry ◽  
Amir Basiony ◽  
Mohamed Kamal

Abstract Background and Aims Obesity is a potent risk factor for the development of kidney disease. The prevalence of abdominal obesity in Egyptians based upon the European cut-off points was 30.2% for men and 70.9% for women. To detect the best formula for estimation of glomerular filtration rates in morbidly obese individuals. Method: In this prospective study 82 morbidly obese patients were included, Age: 15 to 65 years, Morbidly obese patient (BMI > 40 Kg/m2), Creatinine clearance calculated from a 24-h urine was done, Estimated glomerular filtration rate (eGFR): It was assessed to be correlated with creatinine clearance and detect the most suitable formula for morbidly obese patients. Cockcroft-Gault formula:  Cockcroft-Gault formula (for total body weight): ockcroft-Gault formula (for adjusted body weight): Cockcroft-Gault formula (for lean body weight), MDRD-eGFR (Modification of Diet in Renal Disease equation) (Shahbaz & Gupta, 2019), CKD-epidemiology (CKD-EPI): (Levey, et al, 2009) Results Demogrphic criteria of the studdied patients Conclusion: The equations that had the nearest values to creatinine clearance were CG-TBW-GFR and CGAjBW- GFR, both of them had a moderate reliability with more agreement for the CG-TBW-GFR equation . The CG-TBW-GFR formula was the most reliable one to measure GFR, followed by the CG-AjBW-GFR formula, while the CG-IBW, CG-LBW, MDRD-GFR and CKD-EPI-GFR formulae were not reliable at all .


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Moreno Zanardo ◽  
Fabio Martino Doniselli ◽  
Anastassia Esseridou ◽  
Massimiliano Agrò ◽  
Nicol Antonina Rita Panarisi ◽  
...  

Abstract Objectives Iodinated contrast media (ICM) could be more appropriately dosed on patient lean body weight (LBW) than on total body weight (TBW). Methods After Ethics Committee approval, trial registration NCT03384979, patients aged ≥ 18 years scheduled for multiphasic abdominal CT were randomised for ICM dose to LBW group (0.63 gI/kg of LBW) or TBW group (0.44 gI/kg of TBW). Abdominal 64-row CT was performed using 120 kVp, 100–200 mAs, rotation time 0.5 s, pitch 1, Iopamidol (370 mgI/mL), and flow rate 3 mL/s. Levene, Mann–Whitney U, and χ2 tests were used. The primary endpoint was liver contrast enhancement (LCE). Results Of 335 enrolled patients, 17 were screening failures; 44 dropped out after randomisation; 274 patients were analysed (133 LBW group, 141 TBW group). The median age of LBW group (66 years) was slightly lower than that of TBW group (70 years). Although the median ICM-injected volume was comparable between groups, its variability was larger in the former (interquartile range 27 mL versus 21 mL, p = 0.01). The same was for unenhanced liver density (IQR 10 versus 7 HU) (p = 0.02). Median LCE was 40 (35–46) HU in the LBW group and 40 (35–44) HU in the TBW group, without significant difference for median (p = 0.41) and variability (p = 0.23). Suboptimal LCE (< 40 HU) was found in 64/133 (48%) patients in the LBW group and 69/141 (49%) in the TBW group, but no examination needed repeating. Conclusions The calculation of the ICM volume to be administered for abdominal CT based on the LBW does not imply a more consistent LCE.


CHEST Journal ◽  
2015 ◽  
Vol 148 (4) ◽  
pp. 1010A ◽  
Author(s):  
Rachel Park ◽  
Scott Chelemer ◽  
Jason Varghese ◽  
Cheryl Leddy ◽  
Lewis Rose

2016 ◽  
Vol 7 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Sarah L. Clark ◽  
Megan R. Leloux ◽  
Ross A. Dierkhising ◽  
Gregory D. Cascino ◽  
Sara E. Hocker

AbstractBackground:Previous studies evaluated the disposition of IV phenytoin loading doses and found that obese patients had increased drug distribution into excess body weight, larger volumes of distribution, and longer half-lives when compared to their nonobese counterparts. We assess the safety and efficacy of fosphenytoin loading doses in patients with different body mass indices (BMIs).Methods:A retrospective chart review was conducted in 410 patients who received fosphenytoin. Patients were divided into 2 groups: BMI <30 (nonobese) and BMI ≥30 (obese). Patient demographics, fosphenytoin dose administered in mg/kg body weight, renal and liver function tests, fosphenytoin drug levels, and pre- and post-fosphenytoin administration vital signs were collected to assess for adverse events. Necessity of additional antiepileptic loading doses was used as a surrogate for clinical efficacy.Results:The median dose of fosphenytoin administered was 19 mg/kg (interquartile range 15–20). The most frequently encountered adverse event was hypotension, which occurred in 39% of the cohort. Using a Bonferroni adjustment for multiple comparisons, there were no differences in adverse events between the 2 groups. The need for additional antiepileptic loading doses was not different between the 2 groups (p = 0.07).Conclusions:The incidence of adverse events and the need for repeat loading antiepileptic medications was similar between the 2 groups. From our findings, the patients in our study did not receive empiric loading dose adjustments and the current method of loading fosphenytoin achieves similar outcomes, regardless of the patient's BMI.


Author(s):  
Ryan D Dunn ◽  
Ryan L Crass ◽  
Joseph Hong ◽  
Manjunath P Pai ◽  
Lynne C Krop

Abstract Purpose To compare methods of estimating vancomycin volume of distribution (V) in adults with class III obesity. Methods A retrospective, multicenter pharmacokinetic analysis of adults treated with vancomycin and monitored through measurement of peak and trough concentrations was performed. Individual pharmacokinetic parameter estimates were obtained via maximum a posteriori Bayesian analysis. The relationship between V and body weight was assessed using linear regression. Mean bias and root-mean-square error (RMSE) were calculated to assess the precision of multiple methods of estimating V. Results Of 241 patients included in the study sample, 159 (66.0%) had a BMI of 40.0–49.9 kg/m2, and 82 (34.0%) had a BMI of ≥50.0 kg/m2. The median (5th, 95th percentile) weight of patients was 136 (103, 204) kg, and baseline characteristics were similar between BMI groups. The mean ± S.D. V was lower in patients with a BMI of 40.0–49.9 kg/m2 than in those with a BMI of ≥50.0 kg/m2 (72.4 ± 19.6 L versus 79.3 ± 20.6 L, p = 0.009); however, body size poorly predicted V in regression analyses (R2 < 0.20). A fixed estimate of V (75 L) or use of 0.52 L/kg by total body weight yielded similar bias and error in this population. Conclusion Results of the largest analysis of vancomycin V in class III obesity to date indicated that use of a fixed V value (75 L) and use of a TBW-based estimate (0.52 L/kg) for estimation of vancomycin V in patients with a BMI of ≥40.0 kg/m2 have similar bias. Two postdistribution vancomycin concentrations are needed to accurately determine patient-specific pharmacokinetic parameters, estimate AUC, and improve the precision of vancomycin dosing in this patient population.


2020 ◽  
Vol 10 ◽  
pp. 100131
Author(s):  
Fernanda Corrêa Devito ◽  
Geni Cristina Fonseca Patricio ◽  
Patrícia Bonifácio Flôr ◽  
Thiago Henrique Annibale Vendramini ◽  
Andressa Rodrigues Amaral ◽  
...  

1963 ◽  
Vol 41 (1) ◽  
pp. 2225-2235
Author(s):  
A. DesMarais ◽  
P. A. Lachance

The well known reduction in growth rate of cold-acclimated rats has been shown to depend on a decreased gain in total body fat, without change in the gain in lean body weight. This has been observed in rats fed Lab Chow or a high-fat diet ad libitum. In those groups fed a high-carbohydrate diet ad libitum or calorie-restricted high-fat or high-carbohydrate diets, exposure to cold had no effect on the gain in neither total body weight nor lean body weight, which were already reduced by the diet; in those animals, the significant decrease in the gain in total body fat upon exposure to cold was compensated by a slight but unsignificant increase in the gain in lean body weight, so that differences in gain in total body weight were not significant.


2009 ◽  
Vol 28 (3) ◽  
pp. 139-145 ◽  
Author(s):  
Cameron S. Crandall ◽  
Stephanie Gardner ◽  
Darren A. Braude

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