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The investigators have recently reported a relationship between pain induced by peripheral venous cannulation and postoperative pain. The purpose of this study is to validate this method of postoperative pain prediction in a larger cohort subjected to different types of surgery.
- The investigators will study all adult (>18 years old) patients going through surgery at the site during a defined period of time. Before induction of anesthesia participants will be asked to assess (in VAS units) the pain intensity associated with peripheral venous cannulation. The maximum level of postoperative pain intensity will be recorded in the post-anesthesia care unit.
- After the endpoint of the study, the patient records will be reviewed, and de-identified relevant data be recorded and analyzed in the Statistical Package for the Social Sciences (SPSS) software.
- Sample size assessment: In a previous study patients scoring ≥ 2.0 on venous cannulation assessed their median pain postoperatively at 5.8 VAS units compared with 2.9 in those scoring < 2.0 - corresponding to a difference in maximum postoperative pain intensity of almost three VAS units. To statistically confirm, with unpaired non-parametric tests, 80 % power (β), and 95% probability (1- α), half of that difference (1.5 VAS units) in pain intensity level between patients scoring above or below 2.0 VAS units, respectively, would require 55 patients in each group subjected to the same kind of surgery. With 4 groups of cases and controls 440 patients would need to be included. As the study is strictly observational, 600 patients will be included to make up for possible missing data.
- Statistics: The Mann-Whitney U- test will be used to compare differences in postoperative pain intensity levels, and the Pearson Chi-square test to compare proportions of patients with moderate or severe postoperative pain, in patients differing in pain scores (above or below 2.0 VAS units) on venous cannulation. Logistic regression analysis will be used to adjust for gender and age and to evaluate the predictive ability of proposed method.
Observational Model: Cohort, Time Perspective: Prospective
Hallands Hospital Halmstad
Not yet recruiting
Published on BioPortfolio: 2016-12-05T17:23:21-0500
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