Epidemiological trends of mechanically ventilated acute respiratory distress syndrome in the twenty-first century: a nationwide, population-based retrospective study
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Bibliographic record
Abstract
PURPOSE: Acute respiratory distress syndrome (ARDS) is a prevalent respiratory condition associated with significant mortality. Current literature on ARDS epidemiology reports a wide range of incidence (7.2-78.9/100,000 population/year), hospital mortality (32-51%), and associated costs ($8476-$547,974). We have analyzed epidemiological trends of mechanically ventilated ARDS (MV-ARDS) in Spain from 2000 to 2022 using the Minimum Basic Data Set (MBDS), focusing on MV-ARDS incidence, associated mortality, and economic impact. METHODS: We conducted a nationwide, population-based retrospective study of all hospitalizations for MV-ARDS in Spanish hospitals-from January 1, 2000 to December 31, 2022-using MBDS records, with an estimated coverage of 99.5%. The study reports MV-ARDS incidence per 100,000 population/year, hospital mortality rate, and mean cost per patient. We also considered the effect of COVID-19 on MV-ARDS epidemiology. RESULTS: We analyzed 93,192 records of patients with a new diagnosis of MV-ARDS during the study period. MV-ARDS incidence ranged from 2.96 to 20.14/100,000 population-years, peaking in 2021. Mortality ranged between 38.0 and 55.0%, showing a declining trend, while the cost per patient increased, stabilizing ~€30,000-€40,000 after reaching a peak of €42,812 in 2011. During the COVID-19 pandemic, hospital stay lengthened (p < 0.001), while hospital mortality decreased (p < 0.001). There was an increased proportion of patients with obesity and diabetes mellitus, with fungal or viral etiologies. CONCLUSION: This is the largest epidemiological study on ARDS in Europe. MV-ARDS incidence has stabilized in recent years, with mortality showing a declining trend. ARDS-related costs have increased nearly fourfold. MBDS data could enhance ARDS understanding and guide future studies.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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