Multiple Algorithms System Of All Scores in Embolism (MOSE)
MOSE
MOSE
Sponsor study identifier
observational
15,208
1 country
2
Study Start
October 2016
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
April 2017
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
October 2017
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
The aim of this study is to overcome the current limits of the scoring systems used to predict both the thrombotic (VTE) and hemorrhagic (BLD) risk for the patient. The main problem of these scoring systems is due to the high rigidity related to the score assigned at each risk item. The presence of an item assigns the full score for that item, without the possibility to moderate that item's score. The final class of risk, for the patient, is the sum of the scores of the selected items. The approach used for the assessment is based on the presence or absence of certain items that will be summed. Starting from scoring system currently used for VTE (PADUA, CAPRINI, KHORANA) and also for BLD (IMPROVE), we will integrate all common items in a single scoring system managed by risk management algorithms that can identify the different classes of risk.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
October 2017
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
September 20, 2016
Actual (reported)September 22, 2016
Actual (reported)October 2016
Date type not reportedThis date has not been verified as actual or estimated.
April 2017
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
October 2017
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
VTE evaluation
After calculating the MOSE risk score, results will be crossed with patients who actually had a VTE event, and then the results will be compared with the scores systems used in the study (PADUA, CAPRINI, KHORANA)
6 months
BLD evaluation
6 months
The identified population will be assessed on VTE risk according to the risk score PADUA, CAPRINI, KHORANA, and IMPROVE for BLD risk.
The study is retrospective and provides analysis of an outpatient population of general practitioner for a total of 15208 patients
University Magna Graecia of Catanzaro
Catanzaro, 88100, Italy
University Federico II of Naples
Naples, 80100, Italy
Geerts WH, Pineo GF, Heit JA, Bergqvist D, Lassen MR, Colwell CW, Ray JG. Prevention of venous thromboembolism: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy. Chest. 2004 Sep;126(3 Suppl):338S-400S. doi: 10.1378/chest.126.3_suppl.338S.
Geerts WH, Bergqvist D, Pineo GF, Heit JA, Samama CM, Lassen MR, Colwell CW. Prevention of venous thromboembolism: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition). Chest. 2008 Jun;133(6 Suppl):381S-453S. doi: 10.1378/chest.08-0656.
Stefano de Franciscis, M.D.
University Magna Graecia of Catanzaro
Raffaele Serra, M.D., PhD.
University Magna Graecia of Catanzaro
Matteo Di Minno, M.D., PhD
Federico II University
First Submitted
September 20, 2016
First Posted
September 22, 2016
Study Start
October 2016
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
April 2017
Construction and External Validation of a Predictive Clinico-biological Score of the Risk of Venous Thrombosis in Women Under Combined Oral Contraceptives
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Barbar S, Noventa F, Rossetto V, Ferrari A, Brandolin B, Perlati M, De Bon E, Tormene D, Pagnan A, Prandoni P. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010 Nov;8(11):2450-7. doi: 10.1111/j.1538-7836.2010.04044.x.
Obi AT, Pannucci CJ, Nackashi A, Abdullah N, Alvarez R, Bahl V, Wakefield TW, Henke PK. Validation of the Caprini Venous Thromboembolism Risk Assessment Model in Critically Ill Surgical Patients. JAMA Surg. 2015 Oct;150(10):941-8. doi: 10.1001/jamasurg.2015.1841.
Khorana AA, Kuderer NM, Culakova E, Lyman GH, Francis CW. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. 2008 May 15;111(10):4902-7. doi: 10.1182/blood-2007-10-116327. Epub 2008 Jan 23.
de Franciscis S, Fregola S, Gallo A, Argiro G, Barbetta A, Buffone G, Calio FG, De Caridi G, Amato B, Serra R. PredyCLU: a prediction system for chronic leg ulcers based on fuzzy logic; part I - exploring the venous side. Int Wound J. 2016 Dec;13(6):1349-1353. doi: 10.1111/iwj.12529. Epub 2015 Nov 6.
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
October 2017
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
November 28, 2016
Record last verified: 2016-11
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