Holmium laser enucleation of the prostate: efficacy, safety and preoperative management in patients presenting with anticoagulation therapy
Bibliographic record
Abstract
PURPOSE: We evaluated efficacy and safety profile of patients with anticoagulation therapy (AT) undergoing holmium laser enucleation of the prostate (HoLEP). METHODS: Within our prospective institutional database (11/2017 to 11/2019), we analyzed functional outcomes and 30-day complication rates of HoLEP patients according to Clavien-Dindo classification (CLD), stratified according to specific AT vs. no AT. Further analyses consisted of uni- and multivariate logistic regression models (LRM) predicting complications. RESULTS: Of 268 patients undergoing HoLEP, 104 (38.8%) received AT: 25.7% were treated with platelet aggregation inhibitors (PAI), 8.2% with new oral anticoagulants (NOAC) and 4.9% with AT-combinations or coumarins bridged with low molecular weight heparins (LMWH/combination). Patients receiving AT were significantly more comorbid (p < 0.01). Pre- and postoperative maximal flow rates, residual void urine and IPSS at 3 months after surgery were invariably improved after HoLEP for patients with/ without AT. Overall complication rate was 19.5% in patients with no AT vs. 26.1% vs. 27.3 vs. 46.2%, respectively, in patients with PAI, NOAC and LMWH/combination (p < 0.01). Major complications (CLD ≥ 3b) occurred in 6.1% of no AT patients vs. 4.3% vs. 4.5 vs. 0% in patients with PAI, NOAC and LMWH/combination, respectively (p < 0.01). In multivariate LRM, AT was not significantly associated with higher complication rates, whereas high ASA status (OR 2.2, p = 0.04), age (OR 1.04, p = 0.02) and bioptical or incidental prostate cancer (OR 2.5, p = 0.01) represented independent risk factors. CONCLUSION: Despite higher overall complication rates in AT patients, major complications were not more frequent in AT patients. HoLEP is safe and effective in anticoagulated patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".