Literature DB >> 29502330

Clinical impact of application of risk assessment models (Padua Prediction Score and Improve Bleeding Score) on venous thromboembolism, major hemorrhage and health expenditure associated with pharmacologic VTE prophylaxis: a "real life" prospective and retrospective observational study on patients hospitalized in a Single Internal Medicine Unit (the STIME study).

Luca Depietri1, Marco Marietta2, Stefania Scarlini1, Matteo Marcacci1, Elena Corradini1, Antonello Pietrangelo1, Paolo Ventura3.   

Abstract

International guidelines recommend the use of pharmacological prophylaxis in hospitalized medical patients at high risk of venous thromboembolism (VTE). The same international guidelines suggest the employment of standardized risk assessment models (RAMs) when evaluating the administration of pharmacological prophylaxis in acutely ill medical patients. The Padua Prediction Score and the Improve Bleeding Score have been indicated as the best available RAMs to predict thrombotic and haemorrhagic risk in hospitalized medical patients, but it is still unknown whether their combined use may lead to a significant reduction in thrombotic and haemorrhagic events. It is also unclear whether their extensive use can affect to some extent health expenditure associated with pharmacological VTE prophylaxis. The purpose of this single-centre, prospective and retrospective observational study is to investigate these unanswered questions. All patients admitted to our Internal Medicine Department between May 2015 and August 2015, i.e., before the introduction and extensive use of RAMs, were consecutively enrolled (retrospective group). Similarly, all patients admitted between November 2016 and February 2017-once RAMs clinical use became a consolidated practice-have also been consecutively recruited (prospective group). Consecutively, 203 patients were enrolled in the retrospective group and 210 patients were enrolled in the prospective group. Three events of major bleeding and one event of pulmonary embolism were observed in the prospective group; three events of major hemorrhage and two events of pulmonary embolism were observed in the retrospective group (p = not significant). A statistically significant decrease in pharmacological VTE prophylaxis among study groups was detected: 43.3% of prospective group patients and 56.7% of retrospective group patients received pharmacological prophylaxis (p = .028). Overall, 299 drug doses for VTE prophylaxis have been spared after RAMs introduction (p = .0001) and health expenditure decreased by 27.2% (i.e., 1.67 € saved for each single patient). In conclusion, the extensive use of RAMs in our population of hospitalized medical patients did not statistically affect VTE rate or incidence of major bleeding, but it resulted in a significant drop in health expenditure related with pharmacological prophylaxis. Awaiting new clinical trials, a broad use of RAMs may be a safe strategy for reducing health expenditure associated with VTE prophylaxis in hospitalized medical patients.

Entities:  

Keywords:  Health expenditure; Improve Bleeding Score; Padua Prediction Score; Risk assessment models; Venous thromboembolism prophylaxis

Mesh:

Substances:

Year:  2018        PMID: 29502330     DOI: 10.1007/s11739-018-1808-z

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  18 in total

1.  Meta-analysis: anticoagulant prophylaxis to prevent symptomatic venous thromboembolism in hospitalized medical patients.

Authors:  Francesco Dentali; James D Douketis; Monica Gianni; Wendy Lim; Mark A Crowther
Journal:  Ann Intern Med       Date:  2007-02-20       Impact factor: 25.391

2.  Prevention of VTE in nonsurgical patients: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

Authors:  Susan R Kahn; Wendy Lim; Andrew S Dunn; Mary Cushman; Francesco Dentali; Elie A Akl; Deborah J Cook; Alex A Balekian; Russell C Klein; Hoang Le; Sam Schulman; M Hassan Murad
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

3.  Interventional trials with anticoagulants in acutely ill medical patients: a methodological pitfall?

Authors:  Francesco Violi; Ludovica Perri; Lorenzo Loffredo
Journal:  Intern Emerg Med       Date:  2013-06-16       Impact factor: 3.397

4.  Prophylaxis of venous thromboembolism in elderly patients with multimorbidity.

Authors:  Maura Marcucci; Alfonso Iorio; Alessandro Nobili; Mauro Tettamanti; Luca Pasina; Codjo Djignefa Djade; Alessandra Marengoni; Francesco Salerno; Salvatore Corrao; Pier Mannuccio Mannucci
Journal:  Intern Emerg Med       Date:  2013-05-08       Impact factor: 3.397

5.  A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score.

Authors:  S Barbar; F Noventa; V Rossetto; A Ferrari; B Brandolin; M Perlati; E De Bon; D Tormene; A Pagnan; P Prandoni
Journal:  J Thromb Haemost       Date:  2010-11       Impact factor: 5.824

6.  Predictive and associative models to identify hospitalized medical patients at risk for VTE.

Authors:  Alex C Spyropoulos; Frederick A Anderson; Gordon FitzGerald; Herve Decousus; Mario Pini; Beng H Chong; Rainer B Zotz; Jean-François Bergmann; Victor Tapson; James B Froehlich; Manuel Monreal; Geno J Merli; Ricardo Pavanello; Alexander G G Turpie; Mashio Nakamura; Franco Piovella; Ajay K Kakkar; Frederick A Spencer
Journal:  Chest       Date:  2011-03-24       Impact factor: 9.410

7.  Venous thromboembolism prophylaxis in acutely ill hospitalized medical patients: findings from the International Medical Prevention Registry on Venous Thromboembolism.

Authors:  Victor F Tapson; Hervé Decousus; Mario Pini; Beng H Chong; James B Froehlich; Manuel Monreal; Alex C Spyropoulos; Geno J Merli; Rainer B Zotz; Jean-François Bergmann; Ricardo Pavanello; Alexander G G Turpie; Mashio Nakamura; Franco Piovella; Ajay K Kakkar; Frederick A Spencer; Gordon Fitzgerald; Frederick A Anderson
Journal:  Chest       Date:  2007-06-15       Impact factor: 9.410

8.  Electronic alerts to prevent venous thromboembolism among hospitalized patients.

Authors:  Nils Kucher; Sophia Koo; Rene Quiroz; Joshua M Cooper; Marilyn D Paterno; Boris Soukonnikov; Samuel Z Goldhaber
Journal:  N Engl J Med       Date:  2005-03-10       Impact factor: 91.245

9.  In-hospital symptomatic venous thromboembolism and antithrombotic prophylaxis in Internal Medicine. Findings from a multicenter, prospective study.

Authors:  Gualberto Gussoni; Mauro Campanini; Mauro Silingardi; Gianluigi Scannapieco; Antonino Mazzone; Giovanna Magni; Antonella Valerio; Ido Iori; Walter Ageno
Journal:  Thromb Haemost       Date:  2009-05       Impact factor: 5.249

10.  Combined assessment of thrombotic and haemorrhagic risk in acute medical patients.

Authors:  Micaela La Regina; Francesco Orlandini; Francesca Marchini; Alessia Marinaro; Rosanna Bonacci; Paola Bonanni; Francesca Corsini; Anna Maria Ceraudo; Edoarda Pacetti; Lucia Scuotri; Davide Costabile; Francesco Dentali
Journal:  Thromb Haemost       Date:  2015-09-24       Impact factor: 5.249

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  15 in total

1.  Prophylaxis of venous thromboembolism in Internal Medicine Units: the RAMs issue.

Authors:  Antonella Tufano; Giovanni Di Minno
Journal:  Intern Emerg Med       Date:  2018-03-14       Impact factor: 3.397

Review 2.  Application of pulmonary rehabilitation in patients with pulmonary embolism (Review).

Authors:  Aiping Yu; Weiping Ding; Wanmi Lin; Juan Cai; Weina Huang
Journal:  Exp Ther Med       Date:  2021-12-01       Impact factor: 2.447

3.  Prescription appropriateness of anticoagulant drugs for prophylaxis of venous thromboembolism in hospitalized multimorbid older patients.

Authors:  Raffaella Rossio; Sara Mandelli; Ilaria Ardoino; Alessandro Nobili; Flora Peyvandi; Pier Mannuccio Mannucci; Carlotta Franchi
Journal:  Intern Emerg Med       Date:  2022-10-14       Impact factor: 5.472

4.  Use of Venous Thromboembolism Prophylaxis in Hospitalized Patients: Knowledge and Practice Among Physicians in Nepal.

Authors:  Amit Bhandari; Amit Khanal; Pratikshya Thapa; Ashish Thapa; Kushal Bhattarai; Bibhusan Basnet
Journal:  J Community Hosp Intern Med Perspect       Date:  2022-09-09

5.  Automated versus Manual Data Extraction of the Padua Prediction Score for Venous Thromboembolism Risk in Hospitalized Older Adults.

Authors:  Juliessa M Pavon; Richard J Sloane; Carl F Pieper; Cathleen S Colón-Emeric; Harvey J Cohen; David Gallagher; Miriam C Morey; Midori McCarty; Thomas L Ortel; Susan N Hastings
Journal:  Appl Clin Inform       Date:  2018-09-26       Impact factor: 2.342

6.  Padua prediction score and IMPROVE score do predict in-hospital mortality in Internal Medicine patients.

Authors:  Guido Giuseppe Arpaia; Alessandro Caleffi; Giuseppe Marano; Micaela Laregina; Giulia Erba; Francesco Orlandini; Claudio Cimminiello; Patrizia Boracchi
Journal:  Intern Emerg Med       Date:  2020-01-02       Impact factor: 3.397

7.  Proximal and isolated distal deep vein thrombosis and Wells score accuracy in hospitalized patients.

Authors:  Michelangelo Sartori; Filippo Gabrielli; Elisabetta Favaretto; Massimo Filippini; Ludovica Migliaccio; Benilde Cosmi
Journal:  Intern Emerg Med       Date:  2019-03-12       Impact factor: 3.397

Review 8.  Clinical Experience, Pathophysiology, and Considerations in the Prophylaxis and Treatment of Hypercoagulopathy of COVID-19: A Review Study.

Authors:  Leili Pourafkari; Mohammad Mirza-Aghzadeh-Attari; Armin Zarrintan; Seyed Ali Mousavi-Aghdas
Journal:  Iran J Med Sci       Date:  2021-01

9.  A Prospective Observational Cohort of Clinical Outcomes in Medical Inpatients prescribed Pharmacological Thromboprophylaxis Using Different Clinical Risk Assessment Models(COMPT RAMs).

Authors:  Nibal Chamoun; Stephanie Matta; Sandrine Sarine Aderian; Rami Salibi; Pascale Salameh; Gaby Tayeh; Elie Haddad; Hady Ghanem
Journal:  Sci Rep       Date:  2019-12-04       Impact factor: 4.379

10.  Post-discharge thrombosis and bleeding in medical patients: A novel risk score derived from ubiquitous biomarkers.

Authors:  Scott C Woller; Scott M Stevens; Masarret Fazili; James F Lloyd; Emily L Wilson; Gregory L Snow; Joseph R Bledsoe; Benjamin D Horne
Journal:  Res Pract Thromb Haemost       Date:  2021-07-07
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