Comparison of the Comprehensive Complication Index and Clavien-Dindo systems in predicting perioperative outcomes following radical nephroureterectomy
Bibliographic record
Abstract
Background: Complications can occur following radical nephroureterectomy (RNU) in 20–40% of patients. The Comprehensive Complication Index (CCI) is an alternative grading system to the Clavien-Dindo (CD) grading system that aggregates all complications experienced by a patient on a continuous (as opposed to categorical) scale. We investigate whether the cumulative nature of CCI renders it superior to CD in predicting perioperative course after RNU. Methods: The records of 596 patents who underwent RNU at 7 academic medical centers from 2005 to 2015 were reviewed. Complications occurring within 30 days of RNU were annotated using both the CD and CCI classification systems. Logistic regression was used to determine associations between CD and CCI with perioperative covariates as well as measures of convalescence [hospital length of stay (LOS) and readmission]. Results: A total of 377 men and 219 women with a median age of 71, BMI of 27, and Charlson comorbidity score of 4 were included. Over half underwent a minimally invasive RNU. Median LOS following RNU was 6.0 days (range, 1–37 days) and readmission within 30-days occurred in 45 (8%) patients. Overall, 136 patients (23%) experienced a post-operative complication with 91 having a single complication and 45 with multiple (range, 2–6); 44 (7%) patients had Clavien III or greater complications, and the median CCI for those patients experiencing a complication was 20.9 (range, 8.7–100). Both the upper quartile of CCI (≥75th %) and major CD complications were associated with higher baseline Charlson score, ECOG ≥2, and CKD stage ≥ III (all P<0.05). However, only the upper quartile of CCI was associated with LOS (8.9 vs. 5.4 days, P<0.01) and hospital readmission (OR 3.2, 95% CI: 1.9–5.6, P=0.02) after RNU. Conclusions: The CD and CCI classification systems both are associated with similar baseline and perioperative characteristics for RNU patients. However, the cumulative nature of the CCI allows for superior prediction of postoperative course after RNU including LOS and readmission.
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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".