Redefining Multimorbidity in Older Surgical Patients

Author:

Ramadan Omar I12,Rosenbaum Paul R23,Reiter Joseph G4,Jain Siddharth24,Hill Alexander S4,Hashemi Sean1,Kelz Rachel R12,Fleisher Lee A256,Silber Jeffrey H2478

Affiliation:

1. From the Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (Ramadan, Kelz)

2. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA (Ramadan, Rosenbaum, Jain, Kelz, Fleisher, Silber)

3. Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA (Rosenbaum)

4. Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA (Reiter, Jain, Hill, Silber)

5. Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (Fleisher)

6. Center for Perioperative Outcomes Research and Transformation, University of Pennsylvania, Philadelphia, PA (Fleisher)

7. Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (Silber)

8. Department of Health Care Management, The Wharton School, University of Pennsylvania, Philadelphia, PA (Silber).

Abstract

BACKGROUND: Multimorbidity in surgery is common and associated with worse postoperative outcomes. However, conventional multimorbidity definitions (≥2 comorbidities) label the vast majority of older patients as multimorbid, limiting clinical usefulness. We sought to develop and validate better surgical specialty-specific multimorbidity definitions based on distinct comorbidity combinations. STUDY DESIGN: We used Medicare claims for patients aged 66 to 90 years undergoing inpatient general, orthopaedic, or vascular surgery. Using 2016 to 2017 data, we identified all comorbidity combinations associated with at least 2-fold (general/orthopaedic) or 1.5-fold (vascular) greater risk of 30-day mortality compared with the overall population undergoing the same procedure; we called these combinations qualifying comorbidity sets. We applied them to 2018 to 2019 data (general = 230,410 patients, orthopaedic = 778,131 patients, vascular = 146,570 patients) to obtain 30-day mortality estimates. For further validation, we tested whether multimorbidity status was associated with differential outcomes for patients at better-resourced (based on nursing skill-mix, surgical volume, teaching status) hospitals vs all other hospitals using multivariate matching. RESULTS: Compared with conventional multimorbidity definitions, the new definitions labeled far fewer patients as multimorbid: general = 85.0% (conventional) vs 55.9% (new) (p < 0.0001); orthopaedic = 66.6% vs 40.2% (p < 0.0001); and vascular = 96.2% vs 52.7% (p < 0.0001). Thirty-day mortality was higher by the new definitions: general = 3.96% (conventional) vs 5.64% (new) (p < 0.0001); orthopaedic = 0.13% vs 1.68% (p < 0.0001); and vascular = 4.43% vs 7.00% (p < 0.0001). Better-resourced hospitals offered significantly larger mortality benefits than all other hospitals for multimorbid vs nonmultimorbid general and orthopaedic, but not vascular, patients (general surgery difference-in-difference = ˗0.94% [˗1.36%, ˗0.52%], p < 0.0001; orthopaedic = ˗0.20% [˗0.34%, ˗0.05%], p = 0.0087; and vascular = ˗0.12% [˗0.69%, 0.45%], p = 0.6795). CONCLUSIONS: Our new multimorbidity definitions identified far more specific, higher-risk pools of patients than conventional definitions, potentially aiding clinical decision-making.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

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