Perioperative adverse events following surgery for primary bone tumors of the spine and en bloc resection for metastases
Bibliographic record
Abstract
OBJECTIVE: Surgical treatment of primary bone tumors of the spine and en bloc resection for isolated metastases are complex and challenging. Operative care is fraught with complications, though the true incidence and predictors of adverse events (AEs), length of stay (LOS), and mortality in this population remain poorly understood. The primary objective of this study was to describe the incidence and predictors of perioperative AEs in these patients. Secondary objectives included the determination of the incidence and predictors of admission to the intensive care unit (ICU), unanticipated reoperation during the same admission, hospital LOS, and mortality. METHODS: In this retrospective analysis of prospectively collected data, the authors included consecutive patients at a single quaternary care referral center (January 1, 2009, to September 30, 2018) who underwent either surgery for a primary bone tumor of the spine or an en bloc resection for an isolated spinal metastasis. Information on perioperative AEs, demographic data, primary tumor histology, neurological status, surgical variables, pathological margins, Enneking appropriateness, LOS, ICU stay, reoperation during the same admission period, and in-hospital mortality was collected prospectively in the institutional database. The modified frailty score was extracted retrospectively. RESULTS: One hundred thirteen patients met the inclusion criteria: 98 with primary bone tumors and 15 with isolated metastases. The cohort was 59% male, and the mean age was 49 years (SD 19 years). Overall, 79% of the patients experienced at least 1 AE. The median number of AEs per patient was 2 (IQR 0-4 AEs), and the median LOS was 16 days (IQR 9-32 days). No in-hospital deaths occurred in the cohort. Thirty-two patients (28%) required an ICU stay and 19% underwent an unanticipated second surgery during their admission. A longer surgical duration was associated with a higher likelihood of AEs (OR 1.21/hour, 95% CI 1.06-1.37, p = 0.005), longer ICU stay (OR 1.35/hour, 95% CI 1 1.20-1.52, p < 0.001), and reoperation (OR 1.001/hour, 95% CI 1.0003-1.003, p = 0.012). Longer hospital LOS was independently predicted by older age, female sex, upper cervical and sacral location of the tumor, surgical duration, preoperative neurological deficit, presence of AEs, and higher modified frailty index score. CONCLUSIONS: Surgeries for primary bone tumors and en bloc resection for metastatic tumors are associated with a high incidence of perioperative AEs. Surgical duration predicts complications, reoperation, LOS, and ICU stay.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".