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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 :
- Complementary Index
- Journal :
- Nursing & Health Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 152377816
- Full Text :
- https://doi.org/10.1111/nhs.12853