The incidence, risk factors, and prognosis of postoperative hyperbilirubinemia after cardiac surgery: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: The purpose of the present systematic review was to evaluate the incidence, risk factors, and outcome of hyperbilirubinemia after cardiac surgery. METHODS: The Population, Interventions, Comparators, Outcomes, and Study design (PICOS) framework was employed to develop the search strategy, and the findings are reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. PubMed, Embase, and the Cochrane Library were systematically searched for studies that provided data on the incidence, risk factors, and outcomes of hyperbilirubinemia in cardiac surgery patients from January 1960 to May 2020. Publication bias was graphically explored through funnel plots, and the Newcastle-Ottawa quality assessment scale (NOS) was used to evaluate the quality of the included studies. RESULTS: Ten studies with 6,100 patients were included in our systematic review. The pooled incidence of hyperbilirubinemia was 23% [95% confidence interval (CI), 0.13-0.32]. Preoperative factors, including right atrial pressure [mean difference (MD), 4.65; 95% CI, 4.43-4.88], total bilirubin (TB) concentration (MD, 0.72; 95% CI, 0.65-0.79), alkaline phosphatase (MD, 27.38; 95% CI, 12.94-41.82), and alanine aminotransferase (MD, 12.02; 95% CI, 10.73-13.31), and intraoperative factors, including cardiopulmonary bypass (CPB) time (MD, 1.57; 95% CI, 0.52-2.63), aortic cross-clamping (ACC) time (MD, 11.82; 95% CI, 9.50-14.14), and the amount of blood transfused (MD, 3.77; 95% CI, 0.68-6.85), were the most robust risk factors for hyperbilirubinemia after cardiac surgery. Additionally, postoperative hyperbilirubinemia was associated with increased in-hospital mortality [odds ratio (OR), 9.9; 95% CI, 5.00-19.60, P<0.0001]. DISCUSSION: Hyperbilirubinemia was common and was associated with increased in-hospital mortality. Preoperative high right atrial pressure, high TB concentration, prolonged CPB and ACC time, and a large amount of blood transfused were the commonly observed risk factors for postoperative hyperbilirubinemia in cardiac surgery patients. Addressing these risk factors may be helpful to lower the occurrence of postoperative hyperbilirubinemia.
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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 | 0.020 | 0.056 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.039 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".