Symptoms of Acute Posttraumatic Stress Disorder After Intensive Care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Admission to intensive care is often a sudden and unexpected event precipitated by a life-threatening condition, 2 determinants thought to influence the development of posttraumatic stress disorder. OBJECTIVES: To identify the frequency of acute symptoms of posttraumatic stress disorder and to describe factors predictive of these symptoms in patients 1 month after discharge from intensive care. METHODS: In this prospective cohort study, all patients meeting the inclusion criteria during the study period were invited to participate. Participants completed the Impact of Event Scale-Revised, and demographic and clinical data were accessed from an intensive care unit database. RESULTS: During a 9-month period, 114 of 137 patients who met the inclusion criteria consented to participate in the study, and 100 (88%) completed it. The mean total score on the Impact of Event Scale-Revised was 17.8 (SD, 13.4; possible range, 0-88). A total of 13 participants (13%) scored higher than the cutoff score for clinical posttraumatic stress disorder. Neither sex nor length of stay was predictive of acute symptoms of post-traumatic stress disorder. In multivariate analysis, the only independent predictor of symptoms was age. Patients younger than 65 years were 5.6 times (95% confidence interval, 1.17-26.89) more likely than those 65 years and older to report symptoms. CONCLUSION: The rate of symptoms of posttraumatic stress disorder 1 month after discharge from intensive care was relatively low. Consistent with findings of previous research, being younger than 65 years was the only independent predictor of symptoms.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it