Symptoms of posttraumatic stress disorder among hospitalized patients with cancer
Bibliographic record
Abstract
BACKGROUND: Patients with cancer experience many stressors placing them at risk for posttraumatic stress disorder (PTSD) symptoms, yet little is known about factors associated with PTSD symptoms in this population. This study explored relationships among patients' PTSD symptoms, physical and psychological symptom burden, and risk for hospital readmissions. METHODS: We prospectively enrolled patients with cancer admitted for an unplanned hospitalization from August 2015-April 2017. Upon admission, we assessed patients' PTSD symptoms (Primary Care PTSD Screen), as well as physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire 4 [PHQ-4]) symptoms. We examined associations between PTSD symptoms and patients' physical and psychological symptom burden using linear regression. We evaluated relationships between PTSD symptoms and unplanned hospital readmissions within 90-days using Cox regression. RESULTS: We enrolled 954 of 1,087 (87.8%) patients approached, and 127 (13.3%) screened positive for PTSD symptoms. The 90-day hospital readmission rate was 38.9%. Younger age, female sex, greater comorbidities, and genitourinary cancer type were associated with higher PTSD scores. Patients' PTSD symptoms were associated with physical symptoms (ESAS physical: B = 3.41; P < .001), the total symptom burden (ESAS total: B = 5.97; P < .001), depression (PHQ-4 depression: B = 0.67; P < .001), and anxiety symptoms (PHQ-4 anxiety: B = 0.71; P < .001). Patients' PTSD symptoms were associated with a lower risk of hospital readmissions (hazard ratio, 0.81; P = .001). CONCLUSIONS: A high proportion of hospitalized patients with cancer experience PTSD symptoms, which are associated with a greater physical and psychological symptom burden and a lower risk of hospital readmissions. Interventions to address patients' PTSD symptoms are needed and should account for their physical and psychological symptom burden. Cancer 2018. © 2018 American Cancer Society.
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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) | 0.002 | 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".