Incidence and preoperative predictors for major complications following radical nephroureterectomy
Bibliographic record
Abstract
BACKGROUND: Radical nephroureterectomy (RNU) is the referent standard for managing bulky, invasive, or high grade upper-tract urothelial carcinoma (UTUC). The UTUC patient population, however, generally harbor medical comorbidities thereby placing them at risk of surgical complications. This study reviews a large international cohort of RNU patients to define the risk of major complications and preoperative factors associated with their occurrence. METHODS: Patients undergoing RNU at 14 academic medical centers between 2002 and 2015 were retrospectively reviewed. Preoperative clinical, demographic, operative, and comorbidity indices were recorded. The modified Clavien-Dindo index was used to grade complications occurring within 30 days of surgery. The association between preoperative variables and major complications occurring after RNU was determined by multivariable logistic regression. RESULTS: were included. Over three-quarters of the cohort was white, 50.1% had baseline chronic kidney disease (CKD) ≥ stage III, 22.4% had a Charlson comorbidity index (CCI) score >5, and 17.1% had an Eastern Cooperative Oncology Group (ECOG) performance status ≥2. Overall, 413 (32.6%) experienced a complication including 103 (8.1%) with a major event. Specific distribution of major complications included 49 Clavien III, 44 Clavien IV, and 10 Clavien V. On univariate analysis, patient age (P=0.006), hypertension (P=0.002), diabetes mellitus (P=0.023), CKD stage (P<0.001), American Society of Anesthesiologists (ASA) score (P=0.022), ECOG (P<0.001), and CCI (P<0.001) all were associated with major complications. On multivariate analysis, ECOG ≥2 (OR 2.38, 95% CI, 1.46-3.90), P=0.001), CCI >5 (OR 3.45, 95% CI, 1.41-8.33, P=0.007), and CKD stage ≥3 (OR 3.64, P=0.008) were independently associated with major complications. CONCLUSIONS: Major complications following RNU occurred in almost 10% of patients. Impaired preoperative performance status and baseline CKD are preoperative variables associated with these major post-surgical adverse event. These easily measurable indices warrant consideration and discussion prior to proceeding with RNU.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".