Day-to-day experience in resolution of pain after surgery
Autor: | Carol A. Aschenbrenner, Regina Curry, Timothy T. Houle, James C. Eisenach, Scott A. Miller, Jason E. Lang, Lynnette Harris, Jessica L. Booth |
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Rok vydání: | 2017 |
Předmět: |
Adult
Male medicine.medical_specialty Time Factors Activities of daily living Joint arthroplasty medicine.medical_treatment Article Cohort Studies 03 medical and health sciences 0302 clinical medicine Pregnancy 030202 anesthesiology Surveys and Questionnaires Activities of Daily Living medicine Humans Arthroplasty Replacement Knee Aged Pain Measurement Pain Postoperative Pain experience Cesarean Section business.industry Bayes Theorem Time resolution Recovery of Function Middle Aged medicine.disease Arthroplasty Surgery Treatment Outcome Anesthesiology and Pain Medicine Neurology Female Neurology (clinical) Day to day business 030217 neurology & neurosurgery Cohort study |
Zdroj: | Pain. 158:2147-2154 |
ISSN: | 1872-6623 0304-3959 |
DOI: | 10.1097/j.pain.0000000000001015 |
Popis: | We know little about the individual pain experience of patients recovering from surgery in the first weeks after hospital discharge. Here, we examine individual differences in the day-to-day experience after 2 major surgeries: lower limb total major joint arthroplasty (TJA) and cesarean delivery (CD). Fifty-five TJA patients and 157 CD patients were recruited to complete questionnaires and record their daily pain experiences after surgery. After hospital discharge, patients recorded their pain intensity once daily for 60 days (CD) or twice daily for 2 weeks, once daily for 2 weeks, weekly for 8 weeks, and monthly for 3 months (TJA). Pain scores were modeled using growth curve and Bayesian change-point models. Individual differences in the model fits were examined for evidence of day-to-day differences in pain. A log time model was the simplest model that fit the data, but examination of the residuals revealed high autocorrelation representing misspecification. A change-point model fit the data better and revealed that the form of recovery fundamentally changed between days 10 and 21 after surgery. These data add meaningfully to our understanding of recovery from pain after surgery by extending the period of frequent observations a few days after surgery to a 2-month period. These high time resolution data suggest that there is a typical experience of pain resolution after surgery, but that meaningful subpopulations of experience may exist. They also indicate that a transition occurs within 1 month after surgery from 1 pattern of change in pain over time to another. |
Databáze: | OpenAIRE |
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