Publications by authors named "David Houserman"

Context: Osteoporosis is a prevalent concern, particularly among aging populations, leading to increased risk of fractures, including those related to hip and knee arthroplasty procedures. Screening for osteoporosis, especially with dual X-ray absorptiometry (DXA) scans, is crucial for early detection and management.

Objectives: This study aimed to assess adherence to osteoporosis screening guidelines among patients aged 65 and older undergoing elective total hip arthroplasty (THA) or total knee arthroplasty (TKA) within a single health network.

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Article Synopsis
  • - The study evaluated the long-term effectiveness of a specific titanium femoral component used in uncemented total hip arthroplasty (THA) over a minimum follow-up of 25 years in 332 patients.
  • - Out of 396 THA procedures, the revision rate was 7.8%, with the main issues being infections, failures of bone integration, and other mechanical problems.
  • - The Kaplan-Meier survival rate was high, at 94.8% for any stem revision and 98.7% for issues related to aseptic loosening after 37 years, and the Harris hip score improved significantly, indicating better patient mobility and satisfaction.
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Background: Geriatric hip fractures are common injuries that are associated with high morbidity and mortality. Adequate pain control remains a challenge as the altered physiology in elderly patients makes use of traditional analgesics challenging. The use of regional anesthetics, specifically the fascia iliaca compartment block (FICB), in the perioperative period has been shown to decrease opioid use in this population.

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Article Synopsis
  • The study aimed to evaluate a prediction model using 3-view X-rays to assess knee pain patients for total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA), or no surgery.
  • A dataset of 8,301 X-ray images from 2,767 patients was analyzed, and a computer vision model was trained using transfer learning, with its performance evaluated on a separate test set.
  • The AI model showed high accuracy rates of 87.8% overall, with specific scores of 97% for TKA candidates, 96% for UKA, and 98% for no surgery, confirming its effectiveness in predicting surgical candidates.
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Luxatio erecta is a description for a specific and rare type of shoulder dislocation where the humeral head dislocates directly inferior. This rare form of glenohumeral dislocation accounts for only 0.5% of shoulder dislocations.

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