4.7 Article

Corneal confocal microscopy for identification of diabetic sensorimotor polyneuropathy: a pooled multinational consortium study

期刊

DIABETOLOGIA
卷 61, 期 8, 页码 1856-1861

出版社

SPRINGER
DOI: 10.1007/s00125-018-4653-8

关键词

Corneal confocal microscopy; Corneal nerves; Diabetic neuropathy; Diabetic sensorimotor polyneuropathy; Small nerve fibre morphology

资金

  1. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) of the NIH [1DP3DK104386-01]
  2. JDRF (Brisbane)
  3. JDRF (Calgary)
  4. JDRF (Manchester)
  5. JDRF (Toronto)
  6. Michigan Diabetes Research and Training Center grant [Michigan P30DK020572]
  7. Diabetes Canada
  8. NIH [5RO1-NS46259-03, R01DK077903-01A1 NINDS]
  9. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [P30DK092926, DP3DK104386, R01DK077903, P30DK020572] Funding Source: NIH RePORTER
  10. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS046259] Funding Source: NIH RePORTER

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Aims/hypothesis Small cohort studies raise the hypothesis that corneal nerve abnormalities (including corneal nerve fibre length [CNFL]) are valid non-invasive imaging endpoints for diabetic sensorimotor polyneuropathy (DSP). We aimed to establish concurrent validity and diagnostic thresholds in a large cohort of participants with and without DSP. Methods Nine hundred and ninety-eight participants from five centres (516 with type 1 diabetes and 482 with type 2 diabetes) underwent CNFL quantification and clinical and electrophysiological examination. AUC and diagnostic thresholds were derived and validated in randomly selected samples using receiver operating characteristic analysis. Sensitivity analyses included latent class models to address the issue of imperfect reference standard. Results Type 1 and type 2 diabetes subcohorts had mean age of 42 +/- 19 and 62 +/- 10 years, diabetes duration 21 +/- 15 and 12 +/- 9 years and DSP prevalence of 31% and 53%, respectively. Derivation AUC for CNFL was 0.77 in type 1 diabetes (p < 0.001) and 0.68 in type 2 diabetes (p < 0.001) and was approximately reproduced in validation sets. The optimal threshold for automated CNFL was 12.5 mm/mm(2) in type 1 diabetes and 12.3 mm/mm(2) in type 2 diabetes. In the total cohort, a lower threshold value below 8.6 mm/mm(2) to rule in DSP and an upper value of 15.3 mm/mm(2) to rule out DSP were associated with 88% specificity and 88% sensitivity. Conclusions/interpretation We established the diagnostic validity and common diagnostic thresholds for CNFL in type 1 and type 2 diabetes. Further research must determine to what extent CNFL can be deployed in clinical practice and in clinical trials assessing the efficacy of disease-modifying therapies for DSP.

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