Trajectories of Pain After Cardiac Surgery: Implications for Measurement, Reporting, and Individualized Treatment

Author:

Mori Makoto12,Brooks Cornell1ORCID,Dhruva Sanket S.34,Lu Yuan2,Spatz Erica S.52,Dey Pranammya1,Zhang Yawei6,Chaudhry Sarwat I.7,Geirsson Arnar1,Allore Heather G.89ORCID,Krumholz Harlan M.210ORCID

Affiliation:

1. Division of Cardiac Surgery, Yale School of Medicine, New Haven, CT (M.M., C.B., P.D., A.G.), Yale School of Medicine, New Haven, CT.

2. Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (M.M., Y.L., E.S.S., H.M.K.).

3. Department of Medicine, University of California San Francisco School of Medicine (S.S.D.).

4. San Francisco VA Medical Center, CA (S.S.D.).

5. Section of Cardiovascular Medicine, Department of Internal Medicine (E.S.S.), Yale School of Medicine, New Haven, CT.

6. Department of Environmental Health Sciences, Yale School of Public Health, Department of Surgery (Y.Z.), Yale School of Medicine, New Haven, CT.

7. Section of General Internal Medicine, Department of Medicine (S.I.C.), Yale School of Medicine, New Haven, CT.

8. Section of Geriatrics, Department of Internal Medicine (H.G.A.), Yale School of Medicine, New Haven, CT.

9. Department of Biostatistics (H.G.A.), Yale School of Public Health, New Haven, CT.

10. Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine and the Department of Health Policy and Management (H.M.K.), Yale School of Public Health, New Haven, CT.

Abstract

Background: Postoperative pain after cardiac surgery is a significant problem, but studies often report pain value as an average of the study cohort, obscuring clinically meaningful differences in pain trajectories. We sought to characterize heterogeneity in postoperative pain experiences. Methods: We enrolled patients undergoing a cardiac surgery at a tertiary care center between January 2019 and February 2020. Participants received an electronically-delivered questionnaire every 3 days for 30 days to assess incision site pain level. We evaluated the variability in pain trajectories over 30 days by the cohort-level mean with confidence band and latent classes identified by group-based trajectory model. Group-based trajectory model estimated the probability of belonging to a specific trajectory of pain. Results: Of 92 patients enrolled, 75 provided ≥3 questionnaire responses. The cohort-level mean showed a gradual and consistent decline in the mean pain level, but the confidence bands covered most of the pain score range. The individual-level trajectories varied substantially across patients. Group-based trajectory model identified 4 pain trajectories: persistently low (n=9, 12%), moderate declining (initially mid-level, followed by decline; n=26, 35%), high declining (initially high-level, followed by decline; n=33, 44%), and persistently high pain (n=7, 9%). Persistently high pain and high declining groups did not seem to be clearly distinguishable until approximately postoperative day 10. Patients in persistently low pain trajectory class had a numerically lower median age than the other 3 classes and were below the lower confidence band of the cohort-level approach. Patients in the persistently high pain trajectory class had a longer median length of hospital stay than the other 3 classes and were often higher than the upper confidence band of the cohort-level approach. Conclusions: We identified 4 trajectories of postoperative pain that were not evident from a cohort-level mean, which has been a common way of reporting pain level. This study provides key information about the patient experience and indicates the need to understand variation among sites and surgeons and to investigate determinants of different experience and interventions to mitigate persistently high pain.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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