Psychiatric Morbidity in Survivors of the Acute Respiratory Distress Syndrome: A Systematic Review
Bibliographic record
Abstract
Objective: Acute lung injury (ALI), including its more severe subcategory, acute respiratory distress syndrome (ARDS), is a critical illness associated with considerable morbidity and mortality. Our objective was to summarize data on the prevalence of depressive, posttraumatic stress disorder (PTSD), and other anxiety syndromes amongst survivors of ALI/ARDS, potential risk factors for these syndromes, and their relationships to quality of life. Methods: We conducted a systematic literature review using Medline, EMBASE, Cochrane Library, CINAHL, and PsycINFO. Eligible studies reported data on psychiatric morbidity at least once after intensive care treatment of ALI/ARDS. Results: Ten observational studies met inclusion criteria (total n = 331). Using questionnaires, the point prevalence of “clinically significant” symptoms of depression ranged from 17% to 43% (4 studies); PTSD, 21% to 35% (4 studies); and nonspecific anxiety, 23% to 48% (3 studies). Studies varied in terms of instruments used, thresholds for clinical significance, baseline psychiatric history exclusions, and timing of assessments (range = 1 month to 8 years). Psychiatrist-diagnosed PTSD prevalence at hospital discharge, 5 years, and 8 years were 44%, 25%, and 24%, respectively. Three studies prospectively assessed risk factors for post-ALI/ARDS PTSD and depressive symptoms; significant predictors included longer durations of mechanical ventilation, intensive care unit stay, and sedation. All four studies that examined relationships between psychiatric symptoms and quality of life found significant negative associations. Conclusions: The prevalence of psychiatric morbidity in patients surviving ARDS seems high. Future research should incorporate more in-depth diagnostic and risk factor assessments for prevention and monitoring purposes. ALI = acute lung injury; ARDS = acute respiratory distress syndrome; BAI = Beck Anxiety Inventory; BDI = Beck Depression Inventory; CES-D = Center for Epidemiologic Studies Depression scale; GABA = γ-aminobutyric acid; ICU = intensive care unit; IES = Impact of Events Scale; LOS = length of stay; MADRS = Montgomery-Asberg Depression Rating Scale; MDD = major depressive disorder; PTSD = posttraumatic stress disorder; PTSS-10 = Posttraumatic Symptom Scale-10; QOL = quality of life; SCID = Structured Clinical Interview for DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition); SCL90r = Symptom Checklist 90r; SF-36 = Medical Outcomes Study Short Form-36; SIP = Sickness Impact Profile; STAS-S = Spielberger State-Trait Anxiety Scale-State.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".