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Development and validation of a predictive model for American Society of Anesthesiologists Physical Status.

Seshadri C MudumbaiSuzann PershingThomas BoweRobin N KamalErika D SearsAndrea K FinlayDan EisenbergMary T HawnYingjie WengAmber W TrickeyEdward R MarianoAlex H S Harris
Published in: BMC health services research (2019)
Of the 566,797 elective procedures in the final analytic dataset, 8.9% were ASA-PS 1, 48.9% were ASA-PS 2, 39.1% were ASA-PS 3, and 3.2% were ASA-PS 4. The accuracy of the 21-variable model to predict ASA-PS was C = 0.77 +/- 0.0025. The model-derived ASA-PS had stronger association with key indicators of preoperative status including comorbidities and higher BMI (concurrent validity) compared to observed ASA-PS, but less strong associations with postoperative complications (predictive validity). The online ASA-PS calculator may be accessed at https://s-spire-clintools.shinyapps.io/ASA_PS_Estimator/ CONCLUSIONS: Model-derived ASA-PS better tracked key indicators of preoperative status compared to observed ASA-PS. The ability to have an electronically derived measure of ASA-PS can potentially be useful in research, quality measurement, and clinical applications.
Keyphrases
  • patients undergoing
  • healthcare
  • squamous cell carcinoma
  • physical activity
  • body mass index
  • radiation therapy
  • weight loss
  • quality improvement