Survival, Quality of Life, and Functional Status Following Prolonged ICU Stay in Cardiac Surgical Patients: A Systematic Review
Bibliographic record
Abstract
OBJECTIVES: Compared with noncardiac critical illness, critically ill postoperative cardiac surgical patients have different underlying pathophysiologies, are exposed to different processes of care, and thus may experience different outcome trajectories. Our objective was to systematically review the outcomes of cardiac surgical patients requiring prolonged intensive care with respect to survival, residential status, functional recovery, and quality of life in both hospital and long-term follow-up. DATA SOURCES: MEDLINE, Embase, CINAHL, Web of Science, and Dissertations and Theses Global up to July 21, 2017. STUDY SELECTION: Studies were included if they assessed hospital or long-term survival and/or patient-centered outcomes in adult patients with prolonged ICU stays following major cardiac surgery. After screening 10,159 citations, 114 articles were reviewed in full; a final 34 articles met criteria for data extraction. DATA EXTRACTION: Two reviewers independently extracted data and assessed risk of bias using the National Institutes of Health Quality Assessment Tool for Observational Studies. Extracted data included the used definition of prolonged ICU stay, number and characteristics of prolonged ICU stay patients, and any comparator short stay group, length of follow-up, hospital and long-term survival, residential status, patient-centered outcome measure used, and relevant score. DATA SYNTHESIS: The definition of prolonged ICU stay varied from 2 days to greater than 14 days. Twenty-eight studies observed greater in-hospital mortality among all levels of prolonged ICU stay. Twenty-five studies observed greater long-term mortality among all levels of prolonged ICU stay. Multiple tools were used to assess patient-centered outcomes. Long-term health-related quality of life and function was equivalent or worse with prolonged ICU stay. CONCLUSIONS: We found consistent evidence that patients with increases in ICU length of stay beyond 48 hours have significantly increasing risk of hospital and long-term mortality. The significant heterogeneity in exposure and outcome definitions leave us unable to precisely quantify the risk of prolonged ICU stay on mortality and patient-centered 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 | 0.006 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".