TY - JOUR
T1 - Diagnostic criteria of chronic inflammatory demyelinating polyneuropathy in diabetes mellitus
AU - Lotan, I.
AU - Hellman, M. A.
AU - Steiner, I.
N1 - Publisher Copyright:
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
PY - 2015/10/1
Y1 - 2015/10/1
N2 - Objective: The possibility of co-association between diabetes mellitus (DM) and chronic inflammatory demyelinating polyneuropathy (CIDP) has long been a focus of interest as well as of clinical significance. As CIDP is a potentially treatable condition, it is diagnosis in the context of DM is of great importance. However, diagnostic criteria to identify CIDP in patients with diabetes are not available. We propose a diagnostic tool that should help clinicians to decide what is the probability that a patient with diabetes might have CIDP. Methods: We list several clinical, electrophysiological, and laboratory parameters that, when combined, have the power of discriminating an immune-mediated neuropathy in patients with DM. By summing the points assigned to each of these parameters, we define four levels of probability for a patient with diabetes to have CIDP. To analyze the validity of the diagnostic toll, we applied it in three different patient populations: (i) Patients with diabetes with peripheral neuropathy, (ii) Patients with CIDP without DM, and (iii) Patients with diabetes with CIDP. Results: The scores of patients with diabetes without CIDP ranged from -7 to 2, while those of patients with DM-CIDP ranged from 2 to 20. The scores of non-diabetic patients with CIDP were similar to those of patients with DM-CIDP and ranged from 6 to 16. The mean score of patients with DM-CIDP was 9.083, while the score of patients with CIDP was 11.16 and that of patients with diabetic polyneuropathy was -3.59. Conclusions: These results show that this diagnostic tool is able to identify patients with diabetes with overlapping CIDP.
AB - Objective: The possibility of co-association between diabetes mellitus (DM) and chronic inflammatory demyelinating polyneuropathy (CIDP) has long been a focus of interest as well as of clinical significance. As CIDP is a potentially treatable condition, it is diagnosis in the context of DM is of great importance. However, diagnostic criteria to identify CIDP in patients with diabetes are not available. We propose a diagnostic tool that should help clinicians to decide what is the probability that a patient with diabetes might have CIDP. Methods: We list several clinical, electrophysiological, and laboratory parameters that, when combined, have the power of discriminating an immune-mediated neuropathy in patients with DM. By summing the points assigned to each of these parameters, we define four levels of probability for a patient with diabetes to have CIDP. To analyze the validity of the diagnostic toll, we applied it in three different patient populations: (i) Patients with diabetes with peripheral neuropathy, (ii) Patients with CIDP without DM, and (iii) Patients with diabetes with CIDP. Results: The scores of patients with diabetes without CIDP ranged from -7 to 2, while those of patients with DM-CIDP ranged from 2 to 20. The scores of non-diabetic patients with CIDP were similar to those of patients with DM-CIDP and ranged from 6 to 16. The mean score of patients with DM-CIDP was 9.083, while the score of patients with CIDP was 11.16 and that of patients with diabetic polyneuropathy was -3.59. Conclusions: These results show that this diagnostic tool is able to identify patients with diabetes with overlapping CIDP.
KW - Chronic inflammatory demyelinating polyneuropathy
KW - Diabetes mellitus
KW - Diabetic polyneuropathy
UR - http://www.scopus.com/inward/record.url?scp=84940769942&partnerID=8YFLogxK
U2 - 10.1111/ane.12394
DO - 10.1111/ane.12394
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C2 - 25819084
AN - SCOPUS:84940769942
SN - 0001-6314
VL - 132
SP - 278
EP - 283
JO - Acta Neurologica Scandinavica
JF - Acta Neurologica Scandinavica
IS - 4
ER -