Acute complications of movement disorders surgery: Effects of age and comorbidities
Bibliographic record
Abstract
The most common indication for movement disorder surgery is Parkinson's disease (PD), and the incidence of PD increases with age. The analysis reported here was undertaken with the primary goal of examining whether there is a relationship between peri-operative complications and age. The Nationwide Inpatient Sample (Agency for Healthcare Research and Quality, Rockville, MD, USA) was queried for 10 years beginning in 1999 for patients undergoing deep brain stimulator insertion, pallidotomy, and thalamotomy for treatment of PD, essential tremor, and dystonia. Inpatient complications, including death, stroke (both ischemic and hemorrhagic), and other overall complications were examined. The relative risks associated with advanced age; primary diagnosis; treatment modality; the diagnoses of hypertension, diabetes, and nicotinism; and the cumulative number of comorbidities were examined. There were 5464 patients who met inclusion criteria, including 4145 patients treated for PD and 4961 patients treated with deep brain stimulation (DBS). Overall in-hospital mortality was 0.26%, with 0.15% related to surgical factors. There was a correlation between in-hospital mortality, increasing age, and number of medical comorbidities. After multivariate regression no factor remained predictive of mortality. Having more than 1 medical comorbidity or PD increased the risk of in-hospital complications. Patients with PD were more likely to suffer hemorrhage or stroke. Hypertension, diabetes, nicotinism, and modality of treatment were not associated with increased mortality, hemorrhage or stroke risk, or in-hospital mortality in univariate or multivariate analysis. Both age and medical comorbidity are correlated with in-hospital complications, but age appears to serve as a surrogate for comorbidity. Surgery for PD appears to carry an increased risk of hemorrhage or stroke and in-hospital complications.
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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".