Depressive Symptoms and Impaired Physical Function after Acute Lung Injury: A 2-Year Longitudinal Study
Bibliographic record
Abstract
RATIONALE: Survivors of acute lung injury (ALI) frequently have substantial depressive symptoms and physical impairment, but the longitudinal epidemiology of these conditions remains unclear. OBJECTIVES: To evaluate the 2-year incidence and duration of depressive symptoms and physical impairment after ALI, as well as risk factors for these conditions. METHODS: This prospective, longitudinal cohort study recruited patients from 13 intensive care units (ICUs) in four hospitals, with follow-up 3, 6, 12, and 24 months after ALI. The outcomes were Hospital Anxiety and Depression Scale depression score greater than or equal to 8 ("depressive symptoms") in patients without a history of depression before ALI, and two or more dependencies in instrumental activities of daily living ("impaired physical function") in patients without baseline impairment. MEASUREMENTS AND MAIN RESULTS: During 2-year follow-up of 186 ALI survivors, the cumulative incidences of depressive symptoms and impaired physical function were 40 and 66%, respectively, with greatest incidence by 3-month follow-up; modal durations were greater than 21 months for each outcome. Risk factors for incident depressive symptoms were education 12 years or less, baseline disability or unemployment, higher baseline medical comorbidity, and lower blood glucose in the ICU. Risk factors for incident impaired physical function were longer ICU stay and prior depressive symptoms. CONCLUSIONS: Incident depressive symptoms and impaired physical function are common and long-lasting during the first 2 years after ALI. Interventions targeting potentially modifiable risk factors (e.g., substantial depressive symptoms in early recovery) should be evaluated to improve ALI survivors' long-term outcomes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".