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Italian Chronic Cerebrospinal Venous Insufficiency National Epidemiological Observatory methodology and preliminary data

Sandro Mandolesi, Aldo d'Alessandro, Marco Matteo Ciccone, Annapaola Zito, Tarcisio Niglio, Ettore Manconi, Dimitri Mandolesi, Alessandro d’Alessandro, Aldo Bruno, Fedele Francesco
  • Sandro Mandolesi
    Department of Cardiovascular and Respiratory Sciences, La Sapienza University, Roma, Italy | s.mandolesi@email.it
  • Aldo d'Alessandro
    Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University, Chieti-Pescara, Italy
  • Marco Matteo Ciccone
    Cardiovascular Diseases Section, Department of Emergency and Organ Transplantation, University of Bari, Italy
  • Annapaola Zito
    Cardiovascular Diseases Section, Department of Emergency and Organ Transplantation, University of Bari, Italy
  • Tarcisio Niglio
    Higher Health Institute, Roma, Italy
  • Ettore Manconi
    Department of Cardiovascular and Neurological Sciences, University of Cagliari, Italy
  • Dimitri Mandolesi
    Occupational Medicine, La Sapienza University, Roma, Italy
  • Alessandro d’Alessandro
    Faculty of Medicine, University of Foggia, Italy
  • Aldo Bruno
    Department of Vascular Surgery, Clinica Gepos, Telese Terme (BN), Italy
  • Fedele Francesco
    Department of Cardiovascular and Respiratory Sciences, La Sapienza University, Roma, Italy

Abstract

The aim of our work is to describe the Memnet program’s use and potential and to show the data of Italian Chronic Cerebrospinal Venous Insufficiency (CCSVI)-National Epidemiological Observatory (NEO) activity in the first three years (http://www.osservatorioccsvi. org). From 2011 to 2014, all echo-color- Doppler (ECD) assessments were stored by Mem-net program into CCSVI-NEO web site (http://www.mem-net.it). Mem-net is a tool for multicenter data collection based on the International Society for Neurovascular Disease consensus and position statement, where we can insert patients (pts) history, neurological visits, ECD assessments, different examinations, therapies and surgical procedures. The website provides an epidemiological and statistical program for data analysis in real time. At present, 7 medical centers, affiliated to CCSVI-NEO, input their symptomatic and asymptomatic subjects with CCSVI. Data were storage using the Mem-net program. We analyzed data of only four centers on seven (Rome, Bari, Cagliari and Benevento). Total pts number with multiple sclerosis (MS) was 1109, mean age 46.0±13.4 [male 422 (38.05%); female 687 (61.95%)]. CCSVI positive pts were 937 (84.49%), CCSVI negative pts were 172 (15.51%). The CCSVI type 1 subjects were 530 (56.56%), CCSVI type 2 subjects were 20 (2.13%), CCSVI type 3 subjects were 387 (41.30%). We found 800 (85.38%) pts with criterion 1; 725 (77.37%) with criterion 2; 519 (55.39%) with criterion 3; 483 (51.55%) with criterion 4; 88 (9.39%) with criterion 5. The venous hemodynamic insufficiency severity score mean score was 3.8; the CCSVI mean score was 2.8; the MEM mean score was 34.7; the expanded disability status scale mean score was 4.5; the disease mean duration was 12.5±5.7 years. MS clinical types were divided as follows: relapsing-remitting pts were 449 (47.92%), Secondary progressive pts were 144 (15.37%), primary progressive pts were 72 (7.68%). The CCSVI-NEO database and Memnet software may be useful medical and researching tools for recording, storing, analyzing and studying ECD and vascular data. Preliminary data of NEO show an elevated prevalence of CCSVI in MS.

Keywords

chronic cerebrospinal venous insufficiency (CCSVI), CCSVI National Epidemiological Observatory, Mem-net, multiple sclerosis.

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Submitted: 2014-09-16 01:51:44
Published: 2015-02-13 15:33:35
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