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New Diagnostic, Therapeutic and Organizational Strategies for Acute Coronary Syndromes Patients pp 61–68Cite as

Statistical Methods to Study the Representativeness of STEMI Archive

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Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

Direzione Generale Sanità, Regione Lombardia, funded in January 2009 the Strategic Program “Exploitation, integration and study of current and future health databases in Lombardia for Acute Myocardial Infarction.” The aim of this project was the integration and the statistical analysis of complex clinical and administrative databases. In this context the STEMI Archive was created in collaboration with Politecnico di Milano and several hospital structures. This archive contains clinical data about patients affected by acute myocardial infarction with ST elevation (STEMI) admitted in any hospital of Regione Lombardia. In this chapter we will discuss the representativeness of the sample of patients registered in the archive compared with the overall population of STEMI patients affected by acute myocardial infarction, extracted from the administrative database of the Regione Lombardia.

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References

  1. Ieva, F.: Designing and mining a multicenter observational clinical registry concerning patients with acute coronary syndromes. http://www1.mate.polimi.it/biblioteca/qddview.php?id=1443&L=i (2012, submitted online)

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  3. http://www.ahrq.gov, site of Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services

  4. Barbieri, P., Grieco, N., Ieva, F., Paganoni, A.M., Secchi, P.: Exploitation, integration and statistical analysis of public health database and STEMI archive in Lombardia Region. Complex data modeling and computationally intensive statistical methods – “Series Contribution to Statistics”, pp. 41–56. Springer (2010)

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  5. Decreto No 10446, 15/10/2009, Direzione Generale Sanità – Regione Lombardia (2009), Determinazioni in merito alla Rete per il trattamento dei pazienti con Infarto Miocardico con tratto ST elevato (STEMI)

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Author information

Authors and Affiliations

  1. MoxOff, Spin Off del Politecnico di Milano, P.za Leonardo da Vinci 32, Milan, 20133, Italy

    Giovanni Cassarini

  2. Dipartimento di Matematica, MOX, Politecnico di Milano, P.za Leonardo da Vinci 32, Milan, 20133, Italy

    Francesca Ieva

Authors
  1. Giovanni Cassarini
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  2. Francesca Ieva
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Corresponding author

Correspondence to Giovanni Cassarini .

Editor information

Editors and Affiliations

  1. Intensive Cardiac Care Unit, and Prehospital Emergency Care, Niguarda Hospital, Piazza Ospedale Maggiore 3, Milan, 20162, Italy

    Niccolò Grieco

  2. Department of Cardiology, AO San Carlo Borromeo, Via Pio II 3, Milan, 20153, Italy

    Maurizio Marzegalli

  3. , Mathematics, Politecnico di Milano, p.le Leonardo da Vinci 32, Milan, 20133, Italy

    Anna Maria Paganoni

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Cassarini, G., Ieva, F. (2013). Statistical Methods to Study the Representativeness of STEMI Archive. In: Grieco, N., Marzegalli, M., Paganoni, A. (eds) New Diagnostic, Therapeutic and Organizational Strategies for Acute Coronary Syndromes Patients. Contributions to Statistics. Springer, Milano. https://doi.org/10.1007/978-88-470-5379-3_4

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