Morbidity and Mortality After Benign Prostatic Hyperplasia Surgery: Data from the American College of Surgeons National Surgical Quality Improvement Program
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: With the aging population, it is becoming increasingly important to identify patients at risk for postsurgical complications who might be more suited for conservative treatment. We sought to identify predictors of morbidity after surgical treatment of benign prostatic hyperplasia (BPH) using a large national contemporary population-based cohort. METHODS: Relying on the American College of Surgeons National Surgical-Quality Improvement Program (ACS-NSQIP; 2006-2011) database, we evaluated outcomes after transurethral resection of the prostate (TURP), laser vaporization of the prostate (LVP), and laser enucleation of the prostate (LEP). Outcomes included blood-transfusion rates, length of stay, complications, reintervention rates, and perioperative mortality. Multivariable logistic-regression analysis evaluated the predictors of perioperative morbidity and mortality. RESULTS: Overall, 4794 (65.2%), 2439 (33.1%), and 126 (1.7%) patients underwent TURP, LVP, and LEP, respectively. No significant difference in overall complications (P=0.3) or perioperative mortality (P=0.5) between the three surgical groups was found. LVP was found to be associated with decreased blood transfusions (odds ratio [OR]=0.21; P=0.001), length of stay (OR=0.12; P<0.001) and reintervention rates (OR=0.63; P=0.02). LEP was found to be associated with decreased prolonged length of stay (OR=0.35; P=0.01). Men with advanced age at surgery and non-Caucasians were at increased risk of morbidity and mortality. In contrast, normal preoperative albumin and higher preoperative hematocrit (>30%) levels were the only predictors of lower overall complications and perioperative mortality. CONCLUSIONS: All three surgical modalities for BPH management were found to be safe. Advanced age and non-Caucasian race were independent predictors of adverse outcomes after BPH surgery. In patients with these attributes, conservative treatment might be a reasonable alternative. Also, preoperative hematocrit and albumin levels represent reliable predictors of adverse outcomes, suggesting that these markers should be evaluated before BPH surgery.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".