Aims: To investigate the independent effect on depression of painless diabetic polyneuropathy (DPN), painful DPN (PDPN), and general and diabetes-related comorbidities. Methods: In 181 patients the presence of DPN, PDPN, comorbidities, and depression was assessed using the Michigan Neuropathy Screening Instrument Questionnaire (MNSI-Q), the Michigan Diabetic Neuropathy Score (MDNS), Nerve Conduction Studies (NCS), the Douleur Neuropathique en 4 Questions (DN4), the Charlson Comorbidity Index, and the Beck Depression Inventory-II (BDI-II) Results: Forty-six patients met the criteria of confirmed painless DPN, and 25 of PDPN. BDI-II scores indicative of mild-moderate-severe depression were reached in 36 patients (19.7%). In a multiple logistic regression analysis (including age, sex, BMI, being unemployed, duration, HbA1c, insulin-treatment, systolic blood pressure, nephropathy, retinopathy, Charlson Comorbidity Index and PDPN), female sex (odds ratio 5.9, P=0.005) and PDPN (odds ratio 4.6, P=0.038) were the only independent predictors of depression. Multiple regression analysis, including DN4 and MDNS instead of PDPN, showed that DN4, in addition to female sex, was a significant predictor of depressive symptoms severity (P=0.005). Conclusions: PDPN is a greater determinant of depression than other diabetes-related complications and comorbidities. Painful symptoms enhance depression severity more than objective insensitivity.

D'Amato, C., Morganti, R., Greco, C., Di Gennaro, F., Cacciotti, L., Longo, S., et al. (2016). Diabetic peripheral neuropathic pain is a stronger predictor of depression than other diabetic complications and comorbidities. DIABETES & VASCULAR DISEASE RESEARCH, 13(6), 418-428 [10.1177/1479164116653240].

Diabetic peripheral neuropathic pain is a stronger predictor of depression than other diabetic complications and comorbidities

D'AMATO, CINZIA;Longo, S;MATALUNI, GIORGIA;LAURO, DAVIDE;MARFIA, GIROLAMA ALESSANDRA;SPALLONE, VINCENZA
2016-06-22

Abstract

Aims: To investigate the independent effect on depression of painless diabetic polyneuropathy (DPN), painful DPN (PDPN), and general and diabetes-related comorbidities. Methods: In 181 patients the presence of DPN, PDPN, comorbidities, and depression was assessed using the Michigan Neuropathy Screening Instrument Questionnaire (MNSI-Q), the Michigan Diabetic Neuropathy Score (MDNS), Nerve Conduction Studies (NCS), the Douleur Neuropathique en 4 Questions (DN4), the Charlson Comorbidity Index, and the Beck Depression Inventory-II (BDI-II) Results: Forty-six patients met the criteria of confirmed painless DPN, and 25 of PDPN. BDI-II scores indicative of mild-moderate-severe depression were reached in 36 patients (19.7%). In a multiple logistic regression analysis (including age, sex, BMI, being unemployed, duration, HbA1c, insulin-treatment, systolic blood pressure, nephropathy, retinopathy, Charlson Comorbidity Index and PDPN), female sex (odds ratio 5.9, P=0.005) and PDPN (odds ratio 4.6, P=0.038) were the only independent predictors of depression. Multiple regression analysis, including DN4 and MDNS instead of PDPN, showed that DN4, in addition to female sex, was a significant predictor of depressive symptoms severity (P=0.005). Conclusions: PDPN is a greater determinant of depression than other diabetes-related complications and comorbidities. Painful symptoms enhance depression severity more than objective insensitivity.
22-giu-2016
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/13 - ENDOCRINOLOGIA
Settore MED/26 - NEUROLOGIA
English
Con Impact Factor ISI
Charlson Comorbidity Index; Neuropathic pain; comorbidities; depression; diabetic neuropathy
D'Amato, C., Morganti, R., Greco, C., Di Gennaro, F., Cacciotti, L., Longo, S., et al. (2016). Diabetic peripheral neuropathic pain is a stronger predictor of depression than other diabetic complications and comorbidities. DIABETES & VASCULAR DISEASE RESEARCH, 13(6), 418-428 [10.1177/1479164116653240].
D'Amato, C; Morganti, R; Greco, C; Di Gennaro, F; Cacciotti, L; Longo, S; Mataluni, G; Lauro, D; Marfia, Ga; Spallone, V
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/154407
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