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| Name | Class |
|---|---|
| Humanitas Hospital, Italy | OTHER |
| IRCCS Azienda Ospedaliero-Universitaria di Bologna | OTHER |
| IRCCS National Neurological Institute "C. Mondino" Foundation | OTHER |
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The primary aim of the study is to develop a national registry of cerebrovascular diseases in order to define the subtypes of these diseases associated with a worse prognosis. Secondly, the study aims to find clinical, radiological, and biological markers capable tof predicting the outcome of cerebrovascular diseases and the onset of complications related to therapeutic procedures, and to calculate predictive prognostic scores composed of multiple variables.
Each participating center will collect clinical, radiological, and biological data from the medical records of the study participants. Patients included in the study will not undergo any additional medical procedures to those of normal clinical practice.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| All patients with new-onset cerebrovascular disease from January 1, 2016 to July 1, 2049 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Collection of clinical, radiological, and biological data from patients' medical records | Other | Collection of clinical, radiological, and biological data from patients' medical records |
| Measure | Description | Time Frame |
|---|---|---|
| Identification of subtypes of each cerebrovascular disease (ICD-9 430-438) associated with poor prognosis. | Identification and definition of the various subtypes of each cerebrovascular disease (International Classification of Diseases, 9th revision (ICD-9): ICD-9 430-438) associated with poor prognosis. | July 1, 2023 - July 1, 2053 |
| Measure | Description | Time Frame |
|---|---|---|
| Identification of clinical variables of each cerebrovascular disease correlated with its prognosis | Identification of the clinical variables of each cerebrovascular disease correlated with its prognosis | July 1, 2023 - July 1, 2053 |
| Identification of radiological variables of each cerebrovascular disease correlated with its prognosis |
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Inclusion Criteria:
Exclusion Criteria:
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All patients with cerebrovascular diseases occuring between January 1, 2016 and July 1, 2049 who consented to partecipate in the study
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Paolo Calabresi, Prof, MD | Contact | +390630154459 | paolo.calabresi@policlinicogemelli.it | |
| Irene Scala | Contact | +393519746393 | irene.scala01@icatt.it |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fondazione Policlinico Universitario A. Gemelli IRCCS | Rome | Lazio | 00168 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 2326846 | Result | Special report from the National Institute of Neurological Disorders and Stroke. Classification of cerebrovascular diseases III. Stroke. 1990 Apr;21(4):637-76. doi: 10.1161/01.str.21.4.637. No abstract available. | |
| 35016208 | Result | Timmis A, Vardas P, Townsend N, Torbica A, Katus H, De Smedt D, Gale CP, Maggioni AP, Petersen SE, Huculeci R, Kazakiewicz D, de Benito Rubio V, Ignatiuk B, Raisi-Estabragh Z, Pawlak A, Karagiannidis E, Treskes R, Gaita D, Beltrame JF, McConnachie A, Bardinet I, Graham I, Flather M, Elliott P, Mossialos EA, Weidinger F, Achenbach S; Atlas Writing Group, European Society of Cardiology. European Society of Cardiology: cardiovascular disease statistics 2021. Eur Heart J. 2022 Feb 22;43(8):716-799. doi: 10.1093/eurheartj/ehab892. |
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All the data collected in the registry will be available, upon reasonable request, for all the PIs and Sub-Is of the study of the various participating centers
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | May 11, 2023 | Jun 9, 2023 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D014652 | Vascular Diseases |
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| I.R.C.C.S. Fondazione Santa Lucia |
| OTHER |
| Ospedale Policlinico San Martino | OTHER |
| IRCCS San Camillo, Venezia, Italy | OTHER |
| Istituto Di Ricerche Farmacologiche Mario Negri | OTHER |
| Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta | OTHER |
| Ospedale Pediatrico Bambin Gesù | OTHER |
| Fondazione IRCCS Policlinico San Matteo di Pavia | OTHER |
| IRCCS Fondazione Stella Maris | OTHER |
| Istituto Neurologico Mediterraneo Neuromed S. R. L | OTHER |
| IRCCS San Raffaele Roma | OTHER |
| Fondazione Don Carlo Gnocchi ETS | OTHER |
| Ospedale San Raffaele | OTHER |
| IRCCS Centro Neurolesi Bonino Pulejo | OTHER |
| Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico | OTHER |
| Istituto Auxologico Italiano | OTHER |
| Istituti Clinici Scientifici Maugeri SpA | OTHER |
| Fondazione IRCCS San Gerardo dei Tintori | OTHER |
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Identification of the radiological variables of each cerebrovascular disease correlated with its prognosis |
| July 1, 2023 - July 1, 2053 |
| Identification of biomarkers of each cerebrovascular disease correlated with its prognosis | Identification of the biomarkers of each cerebrovascular disease correlated with its prognosis | July 1, 2023 - July 1, 2053 |
| Identification of neurophysiological variables of each cerebrovascular disease correlated with its prognosis | Identification of the neurophysiological variables of each cerebrovascular disease correlated with its prognosis | July 1, 2023 - July 1, 2053 |
| Identification of prognostic scores for each cerebrovascular disease | Identification of prognostic scores for each cerebrovascular disease, based on the combination of clinical, radiological, neurophysiological and biomarker variables | July 1, 2023 - July 1, 2053 |
| Identification of clinical variables of each cerebrovascular disease helping in differential diagnosis | Identification of clinical variables of each cerebrovascular disease that help the clinician in early differential diagnosis | July 1, 2023 - July 1, 2053 |
| Identification of clinical variables of each cerebrovascular disease capable of predicting the development of complications | Identification of clinical variables of each cerebrovascular disease capable of predicting the development of spontaneous complications or complications related to therapeutic procedures | July 1, 2023 - July 1, 2053 |
| Identification of clinical variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies | Identification of clinical variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies | July 1, 2023 - July 1, 2053 |
| Identification of the clinical variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | Identification of the clinical variables of each cerebrovascular disease useful for the purpose of personalizing the rehabilitation treatment and able to predict the good functional outcome following the same rehabilitation treatments | July 1, 2023 - July 1, 2053 |
| Identification of neurophysiological variables of each cerebrovascular disease helping in differential diagnosis | Identification of neurophysiological variables and biomarkers of each cerebrovascular disease helping in differential diagnosis | July 1, 2023 - July 1, 2053 |
| Identification of radiological variables of each cerebrovascular disease helping in differential diagnosis | Identification of radiological variables of each cerebrovascular disease helping in differential diagnosis | July 1, 2023 - July 1, 2053 |
| Identification of neurophysiological variables of each cerebrovascular disease capable of predicting the development of complications | Identification of neurophysiological variables of each cerebrovascular disease capable of predicting the development of complications | July 1, 2023 - July 1, 2053 |
| Identification of radiological variables of each cerebrovascular disease capable of predicting the development of complications | Identification of radiological variables of each cerebrovascular disease capable of predicting the development of complications | July 1, 2023 - July 1, 2053 |
| Identification of biomarkers of each cerebrovascular disease helping in differential diagnosis | Identification of biomarkers of each cerebrovascular disease helping in differential diagnosis | July 1, 2023 - July 1, 2053 |
| Identification of biomarkers of each cerebrovascular disease capable of predicting the development of complications | dentification of biomarkers of each cerebrovascular disease capable of predicting the development of complications | July 1, 2023 - July 1, 2053 |
| Identification of biomarkers of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies | Identification of biomarkers of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies | July 1, 2023 - July 1, 2053 |
| Identification of radiological variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies | Identification of radiological variables of each cerebrovascular disease able to predict the success of pharmacological or procedural therapies | July 1, 2023 - July 1, 2053 |
| Identification of the radiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | Identification of the radiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | July 1, 2023 - July 1, 2053 |
| Identification of the neurophysiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | Identification of the neurophysiological variables of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | July 1, 2023 - July 1, 2053 |
| Identification of the biomarkers of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | Identification of the biomarkers of each cerebrovascular disease useful for the personalization of the rehabilitation treatment and able to predict its functional outcome | July 1, 2023 - July 1, 2053 |
| 34487721 | Result | GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021 Oct;20(10):795-820. doi: 10.1016/S1474-4422(21)00252-0. Epub 2021 Sep 3. |
| 21557809 | Result | Sacco S, Stracci F, Cerone D, Ricci S, Carolei A. Epidemiology of stroke in Italy. Int J Stroke. 2011 Jun;6(3):219-27. doi: 10.1111/j.1747-4949.2011.00594.x. |
| 28552158 | Result | Ozpinar A, Mendez G, Abla AA. Epidemiology, genetics, pathophysiology, and prognostic classifications of cerebral arteriovenous malformations. Handb Clin Neurol. 2017;143:5-13. doi: 10.1016/B978-0-444-63640-9.00001-1. |
| 31440838 | Result | Ferro JM, Aguiar de Sousa D. Cerebral Venous Thrombosis: an Update. Curr Neurol Neurosci Rep. 2019 Aug 23;19(10):74. doi: 10.1007/s11910-019-0988-x. |
| D002318 | Cardiovascular Diseases |