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Original Research

Pain point system scale (PPSS): a method for postoperative pain estimation in retrospective studies

, , , , , , , & show all
Pages 503-510 | Published online: 07 Nov 2012

Figures & data

Table 1 Scoring algorithm of pain point system scale based on administered drugs in the early postoperative period

Table 2 Demographic and baseline characteristics of the patient groups

Figure 1 The artificial neural network schema shows the factors affecting the decision for specific drug administration.

Notes: The first column shows all the factors (predictive covariates) that influence drug administration (input nodes). Output A nodes represent the three major analgesic categories according to the World Health Organization’s “analgesic ladder.” Output B represents the final decision (developed using MATLAB R2009B; The MathWorks, Inc, Natick, MA).
Abbreviations: NRS, numerical rating scale; VAS, visual analog scale; VRS, visual rating scale.
Figure 1 The artificial neural network schema shows the factors affecting the decision for specific drug administration.

Figure 2 Cattell scree plot for factor determination and evaluation of the proper scoring system.

Figure 2 Cattell scree plot for factor determination and evaluation of the proper scoring system.

Table 3 Comparison of the treatment efficacy after intravenous administration of analgesics across the three pain scales

Figure 3 The relationship between the visual analog scale and the proposed pain point system scale, showing linear and strong correlation.

Figure 3 The relationship between the visual analog scale and the proposed pain point system scale, showing linear and strong correlation.

Table 4 Multiple regression analysis for sex, age, body mass index, educational level, operation duration, and reduction in hemoglobin level

Table 5 Pearson’s and Spearman’s rho correlations in the three studied groups