African American Ethnicity as a Risk Factor for Respiratory Complications Following Adenotonsillectomy
Bibliographic record
Abstract
OBJECTIVE: To evaluate whether African American ethnicity is a risk factor for major respiratory complications following adenotonsillectomy (T&A). DESIGN: Retrospective cohort study. SETTING: A Canadian tertiary care center. PATIENTS Children aged 0 to 18 years who underwent T&A at our institution from 2002 to 2006 with planned or unplanned postoperative admissions. MAIN OUTCOME MEASURES: We evaluated the association between ethnicity and our main outcome measure, major perioperative respiratory complications of T&A. Parental report of ethnicity was available for 23% of our cohort. At our institution, African American children undergo a routine preoperative sickle cell test (TestSC). Data on TestSC were included for all children. We established that having a TestSC was an accurate proxy for African American ethnicity (sensitivity, 96%; specificity, 93%; positive predictive value, 77%; negative predictive value, 99%). RESULTS: Seventy-four of 594 children experienced major respiratory complications (12.5%). Compared with children who did not have major respiratory complications, those who did had a TestSC (P = .01), were 2 years or younger (P < .001) and had lower weight-for-age z scores (P = .04), moderate to severe obstructive sleep apnea (P = .003), and comorbidities (P < .001). When controlling for these variables in a multivariate analysis, children of African American ethnicity (TestSC used as a proxy) were at higher risk of having major perioperative respiratory complications (adjusted odds ratio, 1.82 [95% CI 1.05-3.14]) (P = .003). CONCLUSIONS: Children of African American ethnicity (TestSC used as a proxy) are nearly twice as likely to experience major respiratory complications related to T&A. Ethnicity may be an additional independent risk factor for clinicians to consider when planning for T&A.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".