Literature DB >> 22288507

Somatic neuropathy is an independent predictor of all- and diabetes-related mortality in type 2 diabetic patients: a population-based 5-year follow-up study (KCIS No. 29).

W-C Hsu1, S Y-H Chiu, A M-F Yen, L-S Chen, C-Y Fann, C-S Liao, H-H Chen.   

Abstract

BACKGROUND AND
PURPOSE: To investigate the relationships of diabetic neuropathy to all-cause and diabetes-related mortality in patients with type 2 diabetes after controlling for significant correlates.
METHODS: We examined 326 patients diagnosed as diabetic polyneuropathy by nerve conduction study in Keelung city, Taiwan, in 2002 and followed them up to ascertain the cause and date of death until the end of 2006. The cause and date of death were recorded for the deceased patients. Information on significant correlates in association with diabetic polyneuropathy and all-cause and diabetes-related mortality was also collected.
RESULTS: With median follow-up time of 62.28 months, 44 patients with type 2 diabetes died. The cause of death related to diabetes accounted for 59% (n = 26) of the deceased. Univariate analysis shows that the presence of diabetic neuropathy confers higher risk for all-cause mortality (hazard ratio [HR] = 4.88) and mortality from diabetes (HR = 6.58). The significant finding still persisted after adjustment for age, gender, blood pressure, smoking, history of cardiovascular/cerebrovascular disease, duration of diabetes, waist circumference, fasting plasma glucose, total cholesterol, hemoglobin, and creatinine (adjusted HR = 4.44 for all-cause death and adjusted HR = 11.82 for diabetes-related mortality, respectively).
CONCLUSIONS: Diabetic polyneuropathy was an independent predictor for all-cause and diabetes-related mortality. The presence of neuropathy together with other significant prognostic factors is informative to predict all-cause death and death from diabetes-related disease for patients diagnosed as type 2 diabetes.
© 2012 The Author(s). European Journal of Neurology © 2012 EFNS.

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Year:  2012        PMID: 22288507     DOI: 10.1111/j.1468-1331.2011.03659.x

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  12 in total

Review 1.  Corneal confocal microscopy to assess diabetic neuropathy: an eye on the foot.

Authors:  Mitra Tavakoli; Ioannis N Petropoulos; Rayaz A Malik
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

Review 2.  Prediabetic neuropathy: does it exist?

Authors:  Nikolaos Papanas; Dan Ziegler
Journal:  Curr Diab Rep       Date:  2012-08       Impact factor: 4.810

3.  A systematic review and meta-analysis of the serum lipid profile in prediction of diabetic neuropathy.

Authors:  Zixin Cai; Yan Yang; Jingjing Zhang
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

4.  Performance analysis of noninvasive electrophysiological methods for the assessment of diabetic sensorimotor polyneuropathy in clinical research: a systematic review and meta-analysis with trial sequential analysis.

Authors:  Fahmida Haque; Mamun Bin Ibne Reaz; Sawal Hamid Md Ali; Norhana Arsad; Muhammad Enamul Hoque Chowdhury
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

Review 5.  What Is in the Field for Genetics and Epigenetics of Diabetic Neuropathy: The Role of MicroRNAs.

Authors:  V Spallone; C Ciccacci; A Latini; P Borgiani
Journal:  J Diabetes Res       Date:  2021-10-06       Impact factor: 4.011

6.  Identification and prediction of diabetic sensorimotor polyneuropathy using individual and simple combinations of nerve conduction study parameters.

Authors:  Alanna Weisman; Vera Bril; Mylan Ngo; Leif E Lovblom; Elise M Halpern; Andrej Orszag; Bruce A Perkins
Journal:  PLoS One       Date:  2013-03-22       Impact factor: 3.240

7.  Painful diabetic neuropathy in Japanese diabetic patients is common but underrecognized.

Authors:  Mayumi Tsuji; Tetsuyuki Yasuda; Hideaki Kaneto; Taka-Aki Matsuoka; Takahisa Hirose; Ryuzo Kawamori; Masako Iseki; Iichiro Shimomura; Masahiko Shibata
Journal:  Pain Res Treat       Date:  2013-11-26

8.  SUDOSCAN: A Simple, Rapid, and Objective Method with Potential for Screening for Diabetic Peripheral Neuropathy.

Authors:  Dinesh Selvarajah; Tom Cash; Jennifer Davies; Adithya Sankar; Ganesh Rao; Marni Grieg; Shillo Pallai; Rajiv Gandhi; Iain D Wilkinson; Solomon Tesfaye
Journal:  PLoS One       Date:  2015-10-12       Impact factor: 3.240

9.  The prevalence and risk factors of peripheral neuropathy among patients with type 2 diabetes mellitus; the case of Jordan.

Authors:  Nahla Khawaja; Jawad Abu-Shennar; Mohammed Saleh; Said S Dahbour; Yousef S Khader; Kamel M Ajlouni
Journal:  Diabetol Metab Syndr       Date:  2018-02-21       Impact factor: 3.320

10.  A Metabolic Insight Into the Neuroprotective Effect of Jin-Mai-Tong (JMT) Decoction on Diabetic Rats With Peripheral Neuropathy Using Untargeted Metabolomics Strategy.

Authors:  Qian Zhang; Wei Song; Xiaochun Liang; Jun Xie; Yue Shi; Xiaohu Shi; Bintao Qiu; Xiuting Chen
Journal:  Front Pharmacol       Date:  2020-03-05       Impact factor: 5.810

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