Hematological predictors and clinical outcomes in cardiac surgery
Abstract
PURPOSE: The present study was to investigate if five values that are part of the hemogram analysis routinely checked before heart surgeries can be used as a high-quality, quick, low-cost, and easy-to-use outcome predictor.
METHODS: This investigation was a retrospective, observational, cross-sectional study. Univariate and multivariate logistic regression was used to identify independent predictors for combined adverse events. We enrolled 1500 consecutive patients who underwent elective, on-pump, open-heart surgery from 2011 to 2014. Preoperative hemogram evaluation, red cell distribution width (RDW), mean platelet volume (MPV), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) were recorded. We classified combined adverse events (CAE) as (1) myocardial infarction, (2) cardiac reoperation, (3) prolonged mechanical ventilation, (4) prolonged hospital stay, (5) rehospitalization, or (6) mortality.
RESULTS: It was found that several parameters obtained as part of the hemogram, namely RDW, MPV, PLR, and NLR, can predict, individually or in combinations, the outcomes in open-heart surgery patients. It was found that the prediction success of NLR (4.8 fold) was higher compared to RDW (1.8 fold) and MPV (1.5 fold). When the prediction success of the combined parameters was investigated, the NLR-RDW (4.7 fold) pair was found higher in the prediction of CAE occurrence. The predictive success of the triple combination of NLR-MPV-RDW (5.5 fold) was higher…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 1,500 participants or records.
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