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Dive into the research topics where Roberto Morganti is active.

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Featured researches published by Roberto Morganti.


Diabetic Medicine | 2012

Validation of DN4 as a screening tool for neuropathic pain in painful diabetic polyneuropathy.

Vincenza Spallone; Roberto Morganti; C. D’Amato; Carla Greco; L. Cacciotti; G. A. Marfia

Diabet. Med. 29, 578–585 (2012)


Diabetic Medicine | 2009

Neuropad as a diagnostic tool for diabetic autonomic and sensorimotor neuropathy.

Vincenza Spallone; Roberto Morganti; M. Siampli; T. Fedele; C. D’Amato; L. Cacciotti; M. R. Maiello

Aims  The aim of the present study was to determine the diagnostic accuracy of the Neuropad sudomotor test for diabetic cardiovascular autonomic neuropathy (CAN) and diabetic polyneuropathy (DPN), the latter assessed using a multi‐level diagnostic approach.


European Journal of Pain | 2011

Clinical correlates of painful diabetic neuropathy and relationship of neuropathic pain with sensorimotor and autonomic nerve function

Vincenza Spallonel; Roberto Morganti; Cinzia D'Amato; Laura Cacciotti; Tiziana Fedele; Maria Maiello; Girolama A. Marfia

Background: This study investigated the clinical correlates of painful diabetic polyneuropathy (PDPN) and the relationship of neuropathic pain with sensorimotor and autonomic nerve function.


Diabetes and Vascular Disease Research | 2016

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

Cinzia D’Amato; Roberto Morganti; Carla Greco; Federica Di Gennaro; Laura Cacciotti; Susanna Longo; Giorgia Mataluni; Davide Lauro; Girolama A. Marfia; Vincenza Spallone

Aims: To investigate the independent effect on depression of painless diabetic polyneuropathy, painful diabetic polyneuropathy, and general and diabetes-related comorbidities. Methods: In 181 patients, the presence of painless diabetic polyneuropathy, painful diabetic polyneuropathy, comorbidities and depression was assessed using the Michigan Neuropathy Screening Instrument Questionnaire, the Michigan Diabetic Neuropathy Score, nerve conduction studies, the Douleur Neuropathique en 4 Questions, the Charlson Comorbidity Index and the Beck Depression Inventory-II. Results: In all, 46 patients met the criteria of confirmed painless diabetic polyneuropathy and 25 of painful diabetic polyneuropathy. Beck Depression Inventory-II scores indicative of mild–moderate–severe depression were reached in 36 patients (19.7%). In a multiple logistic regression analysis (including age, sex, body mass index, being unemployed, duration, haemoglobin A1c, insulin treatment, systolic blood pressure, nephropathy, retinopathy, Charlson Comorbidity Index and painful diabetic polyneuropathy), female sex (odds ratio: 5.9, p = 0.005) and painful diabetic polyneuropathy (odds ratio: 4.6, p = 0.038) were the only independent predictors of depression. Multiple regression analysis, including Douleur Neuropathique en 4 Questions and Michigan Diabetic Neuropathy Score instead of painful diabetic polyneuropathy, showed that Douleur Neuropathique en 4 Questions, in addition to female sex, was a significant predictor of depressive symptoms severity (p =0.005). Conclusion: Painful diabetic polyneuropathy is a greater determinant of depression than other diabetes-related complications and comorbidities. Painful symptoms enhance depression severity more than objective insensitivity.


Diabetic Medicine | 2017

Validation of the Composite Autonomic Symptom Score 31 (COMPASS 31) for the assessment of symptoms of autonomic neuropathy in people with diabetes.

Carla Greco; F Di Gennaro; C. C. D'Amato; Roberto Morganti; D. Corradini; A. Sun; Susanna Longo; Davide Lauro; G Pierangeli; P Cortelli; Vincenza Spallone

To validate the Composite Autonomic Symptom Score (COMPASS) 31, in its Italian version, for the diagnosis of diabetic cardiovascular autonomic neuropathy in a clinic‐based, single‐centre study.


Diabetes Care | 2014

A Novel Association Between Nondipping and Painful Diabetic Polyneuropathy

Cinzia D’Amato; Roberto Morganti; Federica Di Gennaro; Carla Greco; Girolama A. Marfia; Vincenza Spallone

OBJECTIVE We hypothesized the meaningful coexistence of neuropathic pain and nondipping in painful diabetic polyneuropathy (PDPN). RESEARCH DESIGN AND METHODS In 113 patients with PDPN, with painless diabetic polyneuropathy (DPN+) and without DPN (DPN−), neuropathic pain, sleep, risk for obstructive sleep apnea (OSA), autonomic function, and blood pressure (BP) circadian pattern were assessed using the Douleur Neuropathique en 4 Questions (DN4), the Medical Outcomes Study Sleep Scale, the Berlin Questionnaire, cardiovascular reflex tests, and ambulatory BP monitoring. RESULTS Patients with PDPN showed higher nighttime systolic BP (130.4 ± 15.6 mmHg) than both DPN− (119.9 ± 10.6 mmHg; P < 0.0001) and DPN+ patients (124.2 ± 12.3 mmHg; P < 0.05), and lower day–night difference (∆) in systolic BP (5.5 ± 6.5 vs. 8.6 ± 7.7%; P < 0.05) and diastolic BP than DPN− patients. In a stepwise regression analysis, orthostatic hypotension, high risk for OSA, and PDPN (DN4 interview) were independent determinants of ∆ in systolic BP (r = 0.46; P = 0.0001), ∆ in diastolic BP, and nighttime systolic BP. CONCLUSIONS PDPN is associated with higher nocturnal systolic BP and impaired BP circadian pattern independent of pain-related comorbidities, suggesting a condition of high cardiovascular risk.


Pain | 2018

A cross-sectional study investigating frequency and features of definitely diagnosed diabetic painful polyneuropathy

A. Truini; Vincenza Spallone; Roberto Morganti; Stefano Tamburin; Giampietro Zanette; Angelo Schenone; Chiara De Michelis; V. Tugnoli; Valentina Simioni; Fiore Manganelli; Raffaele Dubbioso; Giuseppe Lauria; Raffaella Lombardi; Stefano Jann; Luisa De Toni Franceschini; Solomon Tesfaye; Marco Fiorelli; Alessandra Spagnoli; G. Cruccu

Abstract This cross-sectional multicentre study aimed at investigating frequency and features of painful diabetic polyneuropathy. We consecutively enrolled 816 patients attending hospital diabetic outpatient clinics. We first definitely diagnosed diabetic polyneuropathy and pure small-fibre polyneuropathy using clinical examination, nerve conduction study, and skin biopsy or quantitative sensory testing. Adhering to widely agreed criteria, we then identified neuropathic pain and diagnosed painful polyneuropathy using a combined approach of clinical examination and diagnostic tests. Of the 816 patients, 36% had a diabetic polyneuropathy associated with male sex, age, and diabetes severity; 2.5% of patients had a pure small-fibre polyneuropathy, unrelated to demographic variables and diabetes severity. Of the 816 patients, 115 (13%) suffered from a painful polyneuropathy, with female sex as the only risk factor for suffering from painful polyneuropathy. In this large study, providing a definite diagnosis of diabetic polyneuropathy and pure small-fibre polyneuropathy, we show the frequency of painful polyneuropathy and demonstrate that this difficult-to-treat complication is more common in women than in men.


Acta Diabetologica | 2013

TCF7L2 gene polymorphisms and type 2 diabetes: association with diabetic retinopathy and cardiovascular autonomic neuropathy

Cinzia Ciccacci; Davide Di Fusco; Laura Cacciotti; Roberto Morganti; Cinzia D’Amato; Giuseppe Novelli; Federica Sangiuolo; Vincenza Spallone; Paola Borgiani


Acta Diabetologica | 2013

MicroRNA genetic variations: association with type 2 diabetes.

Cinzia Ciccacci; Davide Di Fusco; Laura Cacciotti; Roberto Morganti; Cinzia D’Amato; Carla Greco; Sara Rufini; Giuseppe Novelli; Federica Sangiuolo; Vincenza Spallone; Paola Borgiani


Acta Diabetologica | 2014

Common polymorphisms in MIR146a, MIR128a and MIR27a genes contribute to neuropathy susceptibility in type 2 diabetes

Cinzia Ciccacci; Roberto Morganti; Davide Di Fusco; Cinzia D’Amato; Laura Cacciotti; Carla Greco; Sara Rufini; Giuseppe Novelli; Federica Sangiuolo; Girolama A. Marfia; Paola Borgiani; Vincenza Spallone

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Vincenza Spallone

University of Rome Tor Vergata

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Carla Greco

University of Rome Tor Vergata

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Cinzia D’Amato

University of Rome Tor Vergata

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Girolama A. Marfia

University of Rome Tor Vergata

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Laura Cacciotti

University of Rome Tor Vergata

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Cinzia Ciccacci

University of Rome Tor Vergata

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Davide Di Fusco

University of Rome Tor Vergata

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Federica Di Gennaro

University of Rome Tor Vergata

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Federica Sangiuolo

University of Rome Tor Vergata

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Giuseppe Novelli

University of Rome Tor Vergata

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