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.
- Chronic inflammatory demyelinating polyneuropathy
- Diabetes mellitus
- Diabetic polyneuropathy