Prognostic Factors Predicting Bleeding After Discharge Requiring Readmission After Thulium Laser Enucleation of the Prostate (ThuLEP)
Bibliographic record
Abstract
ObjectivesPostoperative haematuria is a feared complication following prostate enucleation, and it may occur even weeks after discharge. We evaluated the risk of bleeding after discharge and its predictive factors in patients who underwent Thulium laser enucleation of the prostate (ThuLEP).MethodsBetween January 2015 and December 2018, patients with surgical indication for benign prostatic hyperplasia underwent ThuLEP in 4 urology departments. All procedures were performed by experienced urologists. Postoperative haematuria was defined as macroscopic haematuria occurring 7 days after discharge. Readmission rate due to macroscopic haematuria was assessed. Logistic regression models tested for predictors of postoperative bleeding requiring readmission.ResultsOverall, 748 patients were included, and 52 (6.9%) of them were readmitted after discharge because of macroscopic haematuria. No cases of deep venous thrombosis or pulmonary embolism were diagnosed. Mean length of stay for surgical treatment was 2.1 days, and mean hospitalization for readmission was 5.6 days. None of the readmitted patients required reintervention, while 46.1% of them required blood transfusions. Diabetes mellitus (P < 0.05), a long bridge of oral anticoagulant drugs with low molecular weight heparin (LMWH) (P < 0.05) and history of constipation (P < 0.05) were significant predictors of readmission after discharge due to macroscopic haematuria.ConclusionsPatients with a clinical history of diabetes mellitus or constipation and patients who undergo a long bridge of oral anticoagulant therapy with LMWH are at higher risk of bleeding requiring readmission after ThuLEP.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".