A logistic equation to determine the validity of tramadol from related gene polymorphisms and psychological factors. (March 2014)
- Record Type:
- Journal Article
- Title:
- A logistic equation to determine the validity of tramadol from related gene polymorphisms and psychological factors. (March 2014)
- Main Title:
- A logistic equation to determine the validity of tramadol from related gene polymorphisms and psychological factors
- Authors:
- Zhao, Qin
Sun, Jianguo
Tao, Yifu
Wang, Shukui
Jiang, Chunzhi
Zhu, Yubing
Yu, Feng
Zhu, Junrong - Abstract:
- Aim: This study was performed to develop an algorithm using polymorphisms of CYP2D6, p-gp, OPRM1, COMT and psychological variables to predict tramadol response in Chinese patients recovering from upper limb fracture internal fixation surgery.Methods: A total of 250 Han Chinese patients recovering from fracture in the upper limb were enrolled. CYP2D6*10, p-gp G2677T, p-gp C3435T, OPRM1 A118G and COMT Val158Met were detected by the ligase detection reaction (LDR) method. The algorithm was developed with binary logistic regression in cohort 1 (200 patients) and assessed with Wilcoxon signed-rank test in cohort 2 (50 patients).Results: According to cohort 1, the predictive equation was calculated with the following logistic regression parameters: Logit (1) = 2.304–4.841 × (anxiety I) – 23.709 × (anxiety II) + 2.823 × ( p-gp 3435CT) + 5.737 × ( p-gp 3435 TT) – 1.586 × ( CYP2D6*10 CT) – 4.542 × ( CYP2D6*10 TT). The cutoff point for the prediction was defined as a probability value ≥0.5. The equation's positive predictive value is 90%. When applied to a new sample, the equation's positive predictive value is 86%. The Nagelkerke R 2 of the model is 0.819, the results of the Hosmer and Leme test show a value of 0.981. The nonparametric correlations between predicted and observed response showed significant correlation (coefficient = 0.879; p < 0.001).Conclusion: The algorithm we have developed might predict tramadol response in Chinese upper limb fracture patients. Original submittedAim: This study was performed to develop an algorithm using polymorphisms of CYP2D6, p-gp, OPRM1, COMT and psychological variables to predict tramadol response in Chinese patients recovering from upper limb fracture internal fixation surgery.Methods: A total of 250 Han Chinese patients recovering from fracture in the upper limb were enrolled. CYP2D6*10, p-gp G2677T, p-gp C3435T, OPRM1 A118G and COMT Val158Met were detected by the ligase detection reaction (LDR) method. The algorithm was developed with binary logistic regression in cohort 1 (200 patients) and assessed with Wilcoxon signed-rank test in cohort 2 (50 patients).Results: According to cohort 1, the predictive equation was calculated with the following logistic regression parameters: Logit (1) = 2.304–4.841 × (anxiety I) – 23.709 × (anxiety II) + 2.823 × ( p-gp 3435CT) + 5.737 × ( p-gp 3435 TT) – 1.586 × ( CYP2D6*10 CT) – 4.542 × ( CYP2D6*10 TT). The cutoff point for the prediction was defined as a probability value ≥0.5. The equation's positive predictive value is 90%. When applied to a new sample, the equation's positive predictive value is 86%. The Nagelkerke R 2 of the model is 0.819, the results of the Hosmer and Leme test show a value of 0.981. The nonparametric correlations between predicted and observed response showed significant correlation (coefficient = 0.879; p < 0.001).Conclusion: The algorithm we have developed might predict tramadol response in Chinese upper limb fracture patients. Original submitted 24 April 2013; Revision submitted 24 January 2014 … (more)
- Is Part Of:
- Pharmacogenomics. Volume 15:Number 4(2014)
- Journal:
- Pharmacogenomics
- Issue:
- Volume 15:Number 4(2014)
- Issue Display:
- Volume 15, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 15
- Issue:
- 4
- Issue Sort Value:
- 2014-0015-0004-0000
- Page Start:
- 487
- Page End:
- 495
- Publication Date:
- 2014-03
- Subjects:
- Chinese patients -- pain -- pharmacogenetics -- tramadol response -- upper limb fracture
Pharmacogenomics -- Periodicals
615.1 - Journal URLs:
- http://www.futuremedicine.com/loi/pgs ↗
http://www.futuremedicine.com/ ↗ - DOI:
- 10.2217/pgs.14.22 ↗
- Languages:
- English
- ISSNs:
- 1462-2416
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6446.249500
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