46. Intraoperative Systolic Blood Pressure as a Significant Predictor of Postoperative Hematoma Following Facelift: Single Surgeon Experience of 118 Consecutive Facelifts
Bibliographic record
Abstract
PURPOSE: To evaluate the association of elevated or labile intraoperative systolic blood pressure on postoperative hematoma, using the senior author’s single surgeon experience of 118 consecutive facelifts. METHODS: A multivariate logistic regression was conducted using complete demographic, procedure-related, blood pressure-related, and outcomes-related data. One-way ANOVA and linear regression were used to assess for associations between a preoperative history of hypertension and elevated or labile intraoperative SBP. A Fisher’s Exact test was subsequently used to assess for specific intraoperative SBP measurement cut-offs significantly associated with postoperative hematoma. RESULTS: Multivariate logistic regression demonstrated no statistically significant patient- or procedure-related demographic predictors of postoperative hematoma. High preoperative SBP was not found to be a significant predictor of postoperative hematoma, although this approached statistical significance (p=0.05). In contrast, labile intraoperative SBP (maximum recorded intraopSBP - minimum recorded intraopSBP; p=0.026), as well as high immediate postoperative SBP (p=0.002), were both independent and statistically significant predictors of postoperative hematoma. Patients with a preoperative history of hypertension, and more specifically those with elevated SBP in the preoperative clinic, were more likely to demonstrate labile (p=0.007) or elevated (p=0.005) intraoperative SBP during surgery. Specifically, maximum recorded intraoperative SBP ≥155mmHg (p=0.045), as well as maximum intraoperative SBP fluctuations ≥80mmHg (p=0.036) were found to be significantly associated with hematoma. CONCLUSION: In contrast to hypertension that is aggressively treated and successfully controlled, hypertension that is difficult to control intraoperatively,may be a predictor of SBP that is difficult to control postoperatively, and thus a significant risk factor for postoperative hematoma following facelift.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".