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Published byPierce Cummings Modified over 6 years ago
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Hospital variability in length of stay after coronary artery bypass surgery: results from the Society of Thoracic Surgeon’s National Cardiac Database Eric D Peterson, MD, MPH, Laura P Coombs, PhD, T.Bruce Ferguson, MD, A.Laurie Shroyer, PhD, Elizabeth R DeLong, PhD, Fred L Grover, MD, Fred H Edwards, MD The Annals of Thoracic Surgery Volume 74, Issue 2, Pages (August 2002) DOI: /S (02)
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Fig 1 Frequency distribution on postoperative length of stay (PLOS) (by day) for patients undergoing isolated coronary artery bypass graft surgery. Filled bars represent the percentage of overall accounted for by survivors; open bars represent nonsurvivors. The Annals of Thoracic Surgery , DOI: ( /S (02) )
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Fig 2 Calibration curves for early discharge and prolonged stay models. (A) Actual versus predicted percentage of patients discharged early (ie, within 5 days) across 10 risk groups in our validation sample (n = 98,804 patients). (B) Actual versus predicted percentage of patients with prolonged stay (postoperative length of stay >14 days) across 10 risk groups in our validation sample. Diagonal lines in each represent perfect agreement. The Annals of Thoracic Surgery , DOI: ( /S (02) )
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Fig 3 Association between a center’s influence on patients’ likelihood for prolonged hospital stay and a center’s influence on patients’ likelihood for procedural mortality (based on hierarchical analysis). Spearman correlation coefficient for association = 0.35. The Annals of Thoracic Surgery , DOI: ( /S (02) )
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Fig 4 Association between a center’s influence on patients’ likelihood for early discharge and a center’s influence on patients’ likelihood for procedural mortality (based on hierarchical analysis). Spearman correlation coefficient for association = −0.15. The Annals of Thoracic Surgery , DOI: ( /S (02) )
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