Literature DB >> 18513225

Selecting an appropriate medication for treating neuropathic pain in patients with diabetes: a study using the U.K. and Germany Mediplus databases.

Mugdha Gore1, Alesia Sadosky, Douglas Leslie, Amy Heck Sheehan.   

Abstract

OBJECTIVE: To evaluate the appropriateness of prescribing select neuropathic pain medications to diabetes patients based on the potential for drug-drug interactions with medications diabetes patients were prescribed continuously for > or =3 months (chronic use).
METHODS: Medical records of patients with a diagnosis of diabetes or use of antidiabetic medications between January 1, 2002 and September 30, 2005 in the U.K. and Germany Mediplus databases were obtained. PATIENTS: Medication use profiles were evaluated between April 2004 and September 2005. The metabolic pathways associated with medications that were prescribed chronically to at least 10% of study patients were compared with the metabolic pathways of neuropathic pain medications to identify potential drug-drug interactions.
RESULTS: A total of 40,448 patients in the U.K. (63.6 +/- 16.6 years, 51% male) and 31,930 patients in Germany (68.9 +/- 12.7 years, 46% male) were identified. Frequently prescribed medications in the U.K. included aspirin (33.7%), metformin (32.7%), simvastatin (25.5%), atorvastatin (19.4%), atenolol (18.1%), and in Germany hydrochlorothiazide (35.8%), aspirin (25.2%), metformin (21.6%), metoprolol (20.3%), and simvastatin (18.3%). Several neuropathic pain medications have potential for drug-drug interactions with medications prescribed to diabetes patients. Examples include (neuropathic pain medications vs. diabetes medications): duloxetine, paroxetine, and methadone (CYP2D6 inhibitors) and oxycodone HCL, hydrocodone (CYP2D6 substrates) vs. metoprolol and bisoprolol (CYP2D6 substrates); and carbamazepine (CYP3A4 inducer) vs. simvastatin, and atorvastatin (CYP3A4 substrates). CONCLUSIONS/
INTERPRETATION: Our findings underscore the need for medical vigilance when selecting medications for treating neuropathic pain in diabetes patients.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18513225     DOI: 10.1111/j.1533-2500.2008.00211.x

Source DB:  PubMed          Journal:  Pain Pract        ISSN: 1530-7085            Impact factor:   3.183


  7 in total

1.  Clinical Approach to the Treatment of Painful Diabetic Neuropathy.

Authors:  Alexandra Hovaguimian; Christopher H Gibbons
Journal:  Ther Adv Endocrinol Metab       Date:  2011-02       Impact factor: 3.565

Review 2.  Drug interactions of clinical importance among the opioids, methadone and buprenorphine, and other frequently prescribed medications: a review.

Authors:  Elinore F McCance-Katz; Lynn E Sullivan; Srikanth Nallani
Journal:  Am J Addict       Date:  2010 Jan-Feb

3.  Cost effectiveness of a lidocaine 5% medicated plaster compared with pregabalin for the treatment of postherpetic neuralgia in the UK: a Markov model analysis.

Authors:  Mark Ritchie; Hiltrud Liedgens; Mark Nuijten
Journal:  Clin Drug Investig       Date:  2010       Impact factor: 2.859

4.  Association of patient-rated severity with other outcomes in patients with painful diabetic peripheral neuropathy.

Authors:  Gavin Taylor-Stokes; James Pike; Alesia Sadosky; Arthi Chandran; Thomas Toelle
Journal:  Diabetes Metab Syndr Obes       Date:  2011-12-05       Impact factor: 3.168

Review 5.  Toward a systematic approach to opioid rotation.

Authors:  Howard S Smith; John F Peppin
Journal:  J Pain Res       Date:  2014-10-17       Impact factor: 3.133

6.  Development and Validation of Liquid Chromatography Method for Determination of Glimepiride in Presence of (Vimto®) Soft Drinks in Rats: Application to Pharmacokinetics Studies.

Authors:  Mohammed Hamad; Areej Rahhal; Wael Abu Dayyih; Eyad Mallah; Alice Abu Dayyih; Zainab Zakaria; Tawfiq Arafat
Journal:  J Pharm Bioallied Sci       Date:  2019 Jan-Mar

7.  Screening and Identification of Key Genes, Pathways, and Drugs Associated with Neuropathic Pain in Dorsal Horn: Evidence from Bioinformatic Analysis.

Authors:  Xiao Yang; Lin Zhu; Bingcheng Zhao; Jingjuan Hu; Fan Deng; Shaohui Lei; Zhi-Wen Yao; Kexuan Liu
Journal:  J Pain Res       Date:  2021-06-16       Impact factor: 3.133

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.