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Predictors of maximal postoperative pain at rest in adult patients undergoing elective surgery – A multicenter observational study.
- Source :
-
Nursing & Health Sciences . Sep2021, Vol. 23 Issue 3, p754-762. 9p. - Publication Year :
- 2021
-
Abstract
- The aim of this prospective cohort study was to assess the maximum intensity of postoperative pain at rest in 620 adults after an elective surgery as well as to determine demographic and clinical predictors of pain. The Hospital Anxiety and Depression Scale was used to evaluate the preoperative mental condition of the patient. Preoperative and postoperative pain were assessed at rest based on the Numeric Rating Scale (range: 0–10). The total median maximum intensity of pain was 3 (interquartile range: 1–5). The linear regression model for the maximum intensity of postoperative pain was statistically significant and very well fitted – the coefficient of determination was 62%. Preoperative anxiety, pain, cancer, a medical history of thyroid (vs abdominal) surgery, and an operation resulting in major (vs moderate) tissue injury have a positive impact on the maximum intensity of postoperative pain. Eye surgery and lower limb operations gave lower scores than abdominal surgery. The early identification of these predictors in patients at risk for postoperative pain will help in preparing an individual pain management plan. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ELECTIVE surgery
*RESEARCH
*STATISTICS
*KRUSKAL-Wallis Test
*RELATIVE medical risk
*PAIN measurement
*SCIENTIFIC observation
*ANALYSIS of variance
*CONFIDENCE intervals
*MULTIVARIATE analysis
*CLINICAL prediction rules
*MEDICAL cooperation
*QUANTITATIVE research
*MANN Whitney U Test
*REGRESSION analysis
*COMPARATIVE studies
*INTRACLASS correlation
*MENTAL depression
*DEMOGRAPHY
*DATA analysis
*ANXIETY
*DATA analysis software
*POSTOPERATIVE pain
*LONGITUDINAL method
Subjects
Details
- Language :
- English
- ISSN :
- 14410745
- Volume :
- 23
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Nursing & Health Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 152377816
- Full Text :
- https://doi.org/10.1111/nhs.12853