1. Additional file 1 of Prediction of major postoperative events after non-cardiac surgery for people with kidney failure: derivation and internal validation of risk models
- Author
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Harrison, Tyrone G., Hemmelgarn, Brenda R., James, Matthew T., Sawhney, Simon, Manns, Braden J., Tonelli, Marcello, Ruzycki, Shannon M, Zarnke, Kelly B., Wilson, Todd A., McCaughey, Deirdre, and Ronksley, Paul E.
- Abstract
Additional file 1: Supplementary Table 1. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) Checklist for Prediction model development. Supplementary Table 2. Algorithms of ICD-9 and 10 codes used to define components of our composite outcome. Supplementary Table 3. Candidate Predictor definition along with source of data and ICD-9/10 algorithms if applicable. Supplementary Table 4. Surgical Categories by Canadian Classification of Health Intervention (CCI) codes. Supplementary Table 5. Estimated Sample Size Calculations using ‘pmsampsize’ in Stata software v17.0 and as suggested by Riley et al (2020). Supplementary Table 6. Top causes of death for those that died within 30 days of surgery, with associated ICD-10 codes. Supplementary Table 7. Performance of models evaluated in cohort with only first surgery per participant. Supplementary Table 8. Event and non-eventReclassification Tables between models, stratified by clinically important probability categories. Supplementary Figure 1. Decision Curve Analysis to estimate the net benefit of use of perioperative risk prediction models in ambulatory or inpatient elective surgery (sensitivity analysis).
- Published
- 2023
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