Effect of Body Mass Index on Complications and Reoperations After Total Hip Arthroplasty

2016 ◽  
Vol 98 (3) ◽  
pp. 169-179 ◽  
Author(s):  
Eric R. Wagner ◽  
Atul F. Kamath ◽  
Kristin M. Fruth ◽  
William S. Harmsen ◽  
Daniel J. Berry
Keyword(s):  
Body Mass Index ◽  
Total Hip Arthroplasty ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Total Hip

Change in Body Mass Index in Patients Following Total Hip Arthroplasty.

2008 ◽  
Vol 21 (6) ◽  
pp. 1
Author(s):  
T. Bacon-Baguley ◽  
T. Mollan ◽  
P. Oleszkiewicz ◽  
D. Rispler
Keyword(s):  
Body Mass Index ◽  
Total Hip Arthroplasty ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Total Hip

scholarly journals Prediction of Functional Outcome at Six Months Following Total Hip Arthroplasty

2012 ◽  
Vol 92 (11) ◽  
pp. 1386-1394 ◽  
Author(s):  
Emily J. Slaven
Keyword(s):  
Body Mass Index ◽  
Logistic Regression ◽  
Total Hip Arthroplasty ◽  
Functional Outcome ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Walking Speed ◽  
Assistive Device ◽  
Total Hip ◽  
Cart Analysis

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.

scholarly journals Diabetes Status Affects Odds of Body Mass Index–dependent Adverse Outcomes After Total Hip Arthroplasty

2021 ◽  
Vol 29 (2) ◽  
pp. 71-77
Author(s):  
Kareem J. Kebaish ◽  
Varun Puvanesarajah ◽  
Sandesh Rao ◽  
Bo Zhang ◽  
Taylor D. Ottesen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Total Hip Arthroplasty ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Adverse Outcomes ◽  
Total Hip ◽  
Diabetes Status

Influence of body mass index on sagittal hip range of motion and gait speed recovery six months after total hip arthroplasty

2019 ◽  
Vol 43 (11) ◽  
pp. 2447-2455 ◽  
Author(s):  
Pierre Martz ◽  
Abderrahmane Bourredjem ◽  
Jean Francis Maillefert ◽  
Christine Binquet ◽  
Emmanuel Baulot ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Total Hip Arthroplasty ◽  
Range Of Motion ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Gait Speed ◽  
Total Hip ◽  
Hip Range Of Motion

Patient-Reported Outcomes Following Total Hip Arthroplasty Stratified by Body Mass Index

Orthopedics ◽  
2016 ◽  
Vol 39 (3) ◽  
pp. e572-e577 ◽  
Author(s):  
Eddie S. Wu ◽  
Jeffrey J. Cherian ◽  
Julio J. Jauregui ◽  
Kristin Robinson ◽  
Steven F. Harwin ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Total Hip Arthroplasty ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Patient Reported Outcomes ◽  
Total Hip ◽  
Patient Reported

A Novel Fluoroscopic Approach to Assessing Patient Positioning in Total Hip Arthroplasty: Accuracy and the Influence of Body Mass Index

2016 ◽  
Vol 26 (6) ◽  
pp. 550-553 ◽  
Author(s):  
Anton P. Lambers ◽  
Robert Jennings ◽  
Andrew T. Bucknill
Keyword(s):  
Body Mass Index ◽  
Total Hip Arthroplasty ◽  
Body Mass ◽  
Hip Arthroplasty ◽  
Image Intensifier ◽  
Patient Positioning ◽  
Lateral View ◽  
Consecutive Series ◽  
Positioning Error ◽  
Total Hip

Introduction Accurate prosthetic cup placement is important in total hip arthroplasty (THA) and can be influenced by patient positioning. This study aims to assess the accuracy of patient positioning prior to THA, describe a new technique of assessment, and evaluate the influence of body mass index (BMI) on positioning error. Methods A consecutive series of 37 patients undergoing unilateral THA were investigated. After patient positioning in lateral decubitus, a lateral fluoroscopic image through the table was taken. The C-arm of the image intensifier was manipulated in 2 planes (coronal, transverse) until a perfect lateral view of the pelvis was obtained, defined as when the native acetabulae were superimposed. Degrees of positioning error in the 2 planes were recorded, along with patient BMI. Results There were 6 patients (16%) positioned within 2° of true lateral in both planes. A further 21 patients (57%) had an error of 5° or more in at least 1 plane. Mean absolute positioning error was 3.0° (SD 2.2°; range 0°-9°) and 3.0° (SD 3.2°; range 0°-13°) in the transverse and coronal planes respectively. Pelvic adduction in the coronal plane was 4.5 fold more likely than abduction (49% vs. 11%). Correlation was shown between patient BMI and the combined error in the 2 planes (R = 0.48, p = 0.001). Discussion Fluoroscopic positioning assessment prior to THA demonstrates that significant malpositioning is common and more likely with increasing BMI. This technique may be particularly useful for patients with a BMI of >30 kg m-2.

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