Cementless Short-Stem Total Hip Arthroplasty in Patients Aged 75 Years and Older: A Retrospective Single-Surgeon Study
Bibliographic record
Abstract
Introduction Cementless short-stem total hip arthroplasty (THA) has gained popularity due to its bone-preserving potential and favorable biomechanical properties. However, its use in elderly patients remains controversial due to concerns about bone quality and implant stability. This study aimed to evaluate the safety and short- to mid-term outcomes of cementless short-stem THA in patients aged 75 years and older. Methods In this retrospective single-surgeon cohort study, 121 cementless short-stem THAs were performed in 117 patients (60% female, n=70; 40% male, n=47) between 2016 and 2024. All patients were aged ≥75 years (range, 75-90 years; mean, 78.7 years). Procedures were conducted via an anterolateral approach in the supine position. Patient comorbidities were classified according to the American Society of Anesthesiologists (ASA) physical status classification system as ASA I (21.5%, n=26), ASA II (62.8%, n=76), and ASA III (15.7%, n=19), with a mean body mass index (BMI) of 28.5 kg/m². The mean operative time was 57 minutes, and the average hospital stay was 7.6 days. Patients were followed for a mean of 29.5 months (range, 2-110 months). Results At final follow-up, four complications (3.3%) were observed: three revision surgeries and one dislocation. The implant survival rate was 98%. No cases of aseptic loosening were recorded. Overall, the complication and revision rates were low and comparable to outcomes reported in younger patient cohorts. Conclusion Cementless short-stem THA appears to be a safe and effective option for patients aged 75 years and older, demonstrating excellent short- to mid-term outcomes with low complication and revision rates. These findings support the use of cementless short-stem implants in the elderly population with appropriate surgical technique and perioperative management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".