Frailty as a marker of adverse outcomes during cystectomy for urothelial cancer.
Bibliographic record
Abstract
374 Background: Frailty has been identified as a marker of physiologic reserve, and a more accurate predictor of adverse postoperative outcomes compared with age. Although many definitions of frailty exist, recently a clinical predictive rule, the “modified frailty index”(mFI), has been developed utilizing administrative data to predict adverse outcomes in the lung cancer population undergoing lobectomy. Our goal was to validate this clinical rule among patients with bladder cancer undergoing cystectomy. Methods: Patients undergoing cystectomy were identified from the National Surgical Quality Improvement Program (NSQIP) participant use files (2006-2011). The mFI was defined as in prior studies with 11 variables based on mapping the Canadian Study of Health and Aging Frailty Index to NSQIP comorbidities and activities of daily living (ADL)s. These 11 variables each received 1 point, and the sum was divided by 11 for a fraction between 0 and 1. Univariate χ2, independent sample t-test, and logistic regression analyses were performed where appropriate. Results: Of the 1,302 cystectomy patients identified, 30% had mFI of 0, 40% had mFI of 0.09, 21% had mFI of 0.18, and 9% had mFI ≥0.27. Overall, 56% of patients experienced a Clavien complication. Patients with mFI ≥0.27 were older ( 72 vs 64 yrs)and more likely to be smokers (54%) compared with mFI of 0 (30%, p<0.01). Mean operative times (342-349 minutes) were similar across mFI indices. Reoperation (5% vs 8.5%) and readmission (20.5% vs 25%) were higher when mFI =0 compared with mFI≥0.27 (P<0.01). Clavien 4 and above complications occurred in 9.1% (36/396), 10.1% (53/526), 12.9 % (35/270) and 13.6% (15/110) among patients with an mFI of 0, 0.09, 0.18, and ≥0.27, respectively (p=0.05). Similarly, the overall mortality rate increased from 2.5% in the lowest frailty index group to 5.4% in the highest. Conclusions: Among patients undergoing cystectomy, the modified frailty index can identify those patients at greater risk for severe complications, readmissions, and mortality. Given that bladder cancer is increasing in prevalence particularly among the elderly, pre-operative risk stratification is crucial to inform decision-making.
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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 | 0.001 | 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) | 0.001 | 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".