Prevalence of adverse events in pronated intubated adult <scp>COVID</scp>‐19 patients: A systematic review with meta‐analysis
Bibliographic record
Abstract
AIM: To present the pooled estimated prevalence of adverse events in pronated intubated adult COVID-19 patients. DESIGN: A systematic review and meta-analysis. DATA SOURCES: This study used the Cochrane Library, CINAHL, Embase, LILACS, Livivo, PubMed, Scopus, and Web of Science databases as data sources. METHODS: The studies were meta-analysed using JAMOVI 1.6.15 software. A random-effects model was used to identify the global prevalence of adverse events, confidence intervals and the heterogeneity data. Risk of bias was assessed using the Joanna Briggs Institute tool, and the certainty of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation approach. RESULTS: Of the 7904 studies identified, 169 were included for full reading, and 10 were included in the review. The most prevalent adverse events were pressure injuries (59%), haemodynamic instability (23%), death (17%) and device loss or traction (9%). CONCLUSION: The most prevalent adverse events in mechanically ventilated pronated patients with COVID-19 are pressure injuries, presence of haemodynamic instability, death and device loss or traction. IMPLICATIONS FOR THE PATIENT CARE: The evidence identified in this review can help improve the quality and safety of patient care by helping to design care protocols to avoid the development of adverse events that can cause permanent sequelae in these patients. IMPACT: This systematic review addressed the adverse events related to prone position in intubated adult COVID-19 patients. We identified that the most prevalent adverse events in these patients were pressure injuries, haemodynamic instability, device loss or traction and death. The results of this review may influence the clinical practice of nurses who work in intensive care units and, consequently, the nursing care provided not only to COVID-19 patients but for all intubated patients due to other reasons in intensive care units. REPORTING METHOD: This systematic review adhered to the PRISMA reporting guideline. PATIENT OR PUBLIC CONTRIBUTION: As this is a systematic review, we analysed data from primary studies conducted by many researchers. Thus, there was no patient or public contribution in this review.
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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 | 0.013 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.038 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".