scholarly journals The Association of Body Mass Index with Surgical Time Is Mediated by Comorbidity in Patients Undergoing Total Hip Arthroplasty

2021 ◽  
Vol 10 (23) ◽  
pp. 5600
Author(s):  
Francesca Cannata ◽  
Alice Laudisio ◽  
Luca Ambrosio ◽  
Gianluca Vadalà ◽  
Fabrizio Russo ◽  
...  

Overweight represents a major issue in contemporary orthopaedic practice. A higher body mass index (BMI) is associated with an increase of perioperative complications following several orthopaedic procedures, in particular total hip arthroplasty (THA). However, the influence of overweight on THA surgical time is controversial. In this study, we investigated the association between BMI and surgical time analyzing the role of patients’ comorbidities. We conducted a retrospective study on 748 patients undergoing THA at our institutions between 2017 and 2018. Information regarding medical diseases was investigated and the burden of comorbidity was quantified using the Charlson score (CCI). Surgical time and blood loss were also recorded. Median surgical time was 76.5 min. Patients with surgical time above the median had both a higher BMI (28.3 vs. 27.1 kg/m2; p = 0.002); and CCI (1 vs. 0; p = 0.016). According to linear regression, surgical time was associated with BMI in the unadjusted model (p < 0.0001), after adjusting for age and sex (p < 0.0001), and in the multivariable model (p = 0.005). Furthermore, BMI was associated with increased surgical time only in patients with a Charlson score above the median, but not in others. Obesity is associated with increased surgical time during THA, especially in pluricomorbid patients, with a higher risk of perioperative complications.

2018 ◽  
Vol 25 (2) ◽  
pp. 63-70
Author(s):  
S. A. Ardashev ◽  
I. F. Akhtyamov ◽  
I. Sh. Gil’mutdinov ◽  
M. A.D Al’-Lami

The modern native and foreign literature data on the hip arthroplasty results in patients with overweight including the data on the choice of the material and method of surgical intervention, risk and rate of perioperative complications, rehabilitation results are analyzed.


Author(s):  
T. Bacon-Baguley ◽  
T. Mollan ◽  
P. Oleszkiewicz ◽  
D. Rispler

2012 ◽  
Vol 92 (11) ◽  
pp. 1386-1394 ◽  
Author(s):  
Emily J. Slaven

Background Recovery of function such as the ability to walk without an assistive device after total hip arthroplasty (THA) is not always automatic. Objective This study investigated whether predetermined variables could be used to identify patients who might have functional limitations at 6 months following THA. Design A prospective, observational cohort design was used. Method Demographics and baseline measures, including age, sex, and preoperative Lower Extremity Functional Scale (LEFS) score, were collected 1 to 3 weeks prior to surgery from 40 participants who were scheduled to undergo THA. Six weeks after surgery, a second LEFS score was recorded along with each participant's body mass index and the THA procedure performed; walking speed and balance also were assessed at this time using the 10-Meter Walk Test, the Timed “Up & Go” Test, and the Functional Reach Test. At 6 months following surgery, each participant's functional outcome was determined from the final LEFS score and the need for an assistive device. Classification and regression tree (CART) analyses and logistic regression were used to establish which of the variables could predict outcome at 6 months. Results Body mass index, sex, and age were identified by CART analysis as predictors to classify participants who did not reach successful outcome status. Logistic regression revealed that sex (female) was the only individual variable that predicted outcome at 6 months. Walking speed was the only performance variable identified as a predictor for outcome using CART analysis. Limitations Only a limited number of variables were observed due to the small sample size. Conclusion It is possible to identify those patients who are at risk for an unsuccessful outcome through the use of variables such as body mass index, age, and sex.


2021 ◽  
Vol 29 (2) ◽  
pp. 71-77
Author(s):  
Kareem J. Kebaish ◽  
Varun Puvanesarajah ◽  
Sandesh Rao ◽  
Bo Zhang ◽  
Taylor D. Ottesen ◽  
...  

2019 ◽  
Vol 43 (11) ◽  
pp. 2447-2455 ◽  
Author(s):  
Pierre Martz ◽  
Abderrahmane Bourredjem ◽  
Jean Francis Maillefert ◽  
Christine Binquet ◽  
Emmanuel Baulot ◽  
...  

Orthopedics ◽  
2016 ◽  
Vol 39 (3) ◽  
pp. e572-e577 ◽  
Author(s):  
Eddie S. Wu ◽  
Jeffrey J. Cherian ◽  
Julio J. Jauregui ◽  
Kristin Robinson ◽  
Steven F. Harwin ◽  
...  

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