1.Predicting Need for Skilled Nursing or Rehabilitation Facility after Outpatient Total Hip Arthroplasty
Elshaday BELAY ; Patrick KELLY ; Albert ANASTASIO ; Niall COCHRANE ; Mark WU ; Thorsten SEYLER
Hip & Pelvis 2022;34(4):227-235
Purpose:
Outpatient classified total hip arthroplasty (THA) is a safe option for a select group of patients. An analysis of a national database was conducted to understand the risk factors for unplanned discharge to a skilled nursing facility (SNF) or acute rehabilitation (rehab) after outpatient classified THA.
Materials and Methods:
A query of the National Surgical Quality Improvement Program (NSQIP) database for THA (Current Procedural Terminology [CPT] 27130) performed from 2015 to 2018 was conducted. Patient demographics, American Society of Anesthesiologists (ASA) classification, functional status, NSQIP morbidity probability, operative time, length of stay (LOS), 30-day reoperation rate, readmission rate, and associated complications were collected.
Results:
A total of 2,896 patients underwent outpatient classified THA. The mean age of patients was 61.2 years. The mean body mass index (BMI) was 29.6 kg/m 2 with median ASA 2. The results of univariate comparison of SNF/rehab versus home discharge showed that a significantly higher percentage of females (58.7% vs. 46.8%), age >70 years (49.3% vs. 20.9%), ASA ≥3 (58.0% vs. 25.8%), BMI >35 kg/m 2 (23.3% vs. 16.2%), and hypoalbuminemia (8.0% vs. 1.5%) (P<0.0001) were discharged to SNF/rehab. The results of multivariable logistic regression showed that female sex (odds ratio [OR] 1.47; P=0.03), age >70 years (OR 3.08; P=0.001), ASA≥3 (OR 2.56; P=0.001), and preoperative hypoalbuminemia (<3.5 g/dL) (OR 3.76; P=0.001) were independent risk factors for SNF/rehab discharge.
Conclusion
Risk factors associated with discharge to a SNF/rehab after outpatient classified THA were identified. Surgeons will be able to perform better risk stratification for patients who may require additional postoperative intervention.
2.Total Hip Arthroplasty in Morbidly Obese: Does a Strict Body Mass Index Cutoff Yield Meaningful Change?
Niall COCHRANE ; Sean RYAN ; Billy KIM ; Mark WU ; Jeffrey O’DONNELL ; Thorsten SEYLER
Hip & Pelvis 2022;34(3):161-171
Purpose:
The number of obese patients seeking total hip arthroplasty (THA) continues to expand despite body mass index (BMI) cutoffs. We sought to determine the outcomes of THA in the morbidly obese patient, and hypothesized they would have comparable outcomes to two cohorts of obese, and normal weight patients.
Materials and Methods:
THA performed on morbidly obese patients (BMI >40 kg/m2 ) at a single academic center from 2010 until 2020 were retrospectively reviewed. Eighty morbidly obese patients were identified, and matched in a 1:3:3 ratio to control cohorts with BMI 30-40 kg/m2 and BMI <30 kg/m2 . Acute postoperative outcomes and BMI change after surgery were evaluated for clinical significance with univariate and regression analyses. Cox proportional hazard ratio was calculated to evaluate prosthetic joint infection (PJI) and revision surgery through follow-up. Mean follow-up was 3.9 years.
Results:
In the acute postoperative period, morbidly obese patients trended towards increased hospital length of stay, facility discharge and 90-day hospital returns. At final follow-up, a higher percentage of morbidly obese patients had clinically significant (>5%) BMI loss; however, this was not significant. Cox hazard ratio with BMI <30 kg/m 2 as a reference demonstrated no significant difference in survival to PJI and all-cause revision in the morbidly obese cohort.
Conclusion
Morbidly obese patients (BMI >40 kg/m2 ) require increased resource expenditure in the acute postoperative period. However, they are not inferior to the control cohorts (BMI <30 kg/m2 , BMI 30-40 kg/m2 ) in terms of PJI or all-cause revisions at mid-term follow-up.
3.Utility of Radiographs, Computed Tomography, and Three Dimensional Computed Tomography Pelvis Reconstruction for Identification of Acetabular Defects in Residency Training.
Johannes F PLATE ; John S SHIELDS ; Maxwell K LANGFITT ; Michael P BOLOGNESI ; Jason E LANG ; Thorsten M SEYLER
Hip & Pelvis 2017;29(4):247-252
PURPOSE: The Paprosky classification system of acetabular defects is complex and its reliability has been questioned. The purpose of this study was to evaluate the effectiveness of different radiologic imaging modalities in classifying acetabular defects in revision total hip arthroplasty (THA) and their value of at different levels of training. MATERIALS AND METHODS: Bone defects in 8 revision THAs were classified by 2 fellowship-trained adult reconstruction surgeons. A timed presentation with representative images for each case (X-ray, two-dimensional computed tomography [CT] and three-dimensional [3D] reconstructions) was shown to 35 residents from the first postgraduate year of training year of training (PGY-1 to PGY-5), 2 adult reconstruction fellows and 2 attending orthopaedic surgeons. The Paprosky classification of bone defects was recorded. The influence of image modality and level of training on classification were analyzed using chi-square analysis (alpha=0.05). RESULTS: Overall correct classification was 30%. The level of training had no influence on correct classification (P=0.531). Using X-ray led to 37% correctly identified defects, CT scans to 33% and 3D reconstructions to 20% of correct answers (P < 0.001). There was no difference in correct classification based defect type (P < 0.001). Regardless of level of training or imaging, 64% of observers recognized type 1 defects, compared to only 16% correct recognition of type 3B defects. CONCLUSION: Using plain X-rays led to an increased number of correct classification, while regular CT scan and 3D CT reconstructions did not improve accuracy. The classification system of acetabular defects can be used for treatment decisions; however, advanced imaging may not improve its utilization.
Acetabulum*
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Adult
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Arthroplasty, Replacement, Hip
;
Classification
;
Humans
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Internship and Residency*
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Pelvis*
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Reoperation
;
Surgeons
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Tomography, X-Ray Computed