Post-traumatic stress among COVID-19 survivors: A descriptive study of hospitalized first-wave survivors
Bibliographic record
Abstract
Introduction: The coronavirus Severe Acute Respiratory Syndrome Coronavirus Type 1 induces a severe respiratory disease, coronavirus disease 2019 (COVID-19). After Severe Acute Respiratory Syndrome Coronavirus Type 1 and Middle East Respiratory Syndrome infection, increased post-traumatic stress disorder (PTSD) rates were described. Methods: This single-centred, prospective study aimed to evaluate the rates of PTSD in patients who were hospitalized for COVID-19. Inclusion criteria were COVID-19 patients hospitalized in the intensive care unit (ICU) or in a standard unit with at least 2 L/min oxygen. Six months post-hospitalization, subjects were assessed for PTSD using a validated screening tool, the Post-Traumatic Stress Checklist-5 (PCL-5). Results: A total of 40 patients were included. No demographic differences between the ICU and non-ICU groups were found. The mean PCL-5 score for the population was 8.85±10. The mean PCL-5 score was 6.7±8 in the ICU group and 10.5±11 in the non-ICU group (P=0.27). We screened one patient with a positive PCL-5 score and one with a possible PCL-5 cluster score. Nine patients had a PCL-5 score of up to 15. Seven patients reported no symptoms. Seven patients accepted a psychological follow-up: one for PTSD, three for possible PTSD and three for other psychological problems. Discussion: The PCL-5 tool can be used by lung physicians during consultations to identify patients for whom follow-up mental health assessment and treatment for PTSD are warranted. Conclusion: Lung physicians should be aware of the risk of PTSD in patients hospitalized for COVID-19 and ensure appropriate screening and follow-up care.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".