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Designing and Mining a Multicenter Observational Clinical Registry Concerning Patients with Acute Coronary Syndromes

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New Diagnostic, Therapeutic and Organizational Strategies for Acute Coronary Syndromes Patients

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

Abstract

In this work we describe design, aims, and contents of the ST-segment Elevation Myocardial Infarction (STEMI) Archive, which is a multicenter observational clinical registry planned within the Strategic Program “Exploitation, integration and study of current and future health databases in Lombardia for Acute Myocardial Infarction.” This is an observational clinical registry that collects clinical indicators, process indicators, and outcomes concerning STEMI patients admitted to any hospital of the regional district, one of the most advanced and intensive-care area in Italy. This registry is arranged to be automatically linked to the Public Health Database, the ongoing administrative datawarehouse of Regione Lombardia. Aims and perspectives of this innovative project are discussed, together with feasibility and statistical analyses which are to be performed on it, in order to monitor and evaluate the patterns of care of cardiovascular patients.

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References

  1. Grieco, N., Corrada, E., Sesana, G., Fontana, G., Lombardi, F., Ieva, F., Paganoni, A.M., Marzegalli, M.: Le reti dell’emergenza in cardiologia: l’esperienza lombarda. Giornale Italiano di Cardiologia, Supplemento “Crema Cardiologia 2008. Nuove Prospettive in Cardiologia,” 9, 56–62 (2008)

    Google Scholar 

  2. Ieva, F.: Modelli statistici per lo studio dei tempi di intervento nell’infarto miocardico acuto. Master thesis, Dipartimento di Matematica, Politecnico di Milano (2008). http://mox.polimi.it/it/progetti/pubblicazioni/tesi/ieva.pdf

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

    Google Scholar 

  4. Fellegi, I., Sunter, A.: A theory for record linkage. J. Am. Stat. Assoc. 64(328), 1183–1210 (1969)

    Article  Google Scholar 

  5. Antman, E.M., Hand, M., Amstrong, P.W., Bates, E.R., Green, L.A., et al.: Update of the ACC/AHA 2004 guidelines for the management of patients with ST elevation myocardial infarction. Circulation 117, 269–329 (2008)

    Article  Google Scholar 

  6. Krumholz, H.M., Anderson, J.L., Bachelder, B.L., Fesmire, F.M.: ACC/AHA 2008 performance measures for adults with ST-elevation and non-ST-elevation myocardial infarction. Circulation 118, 2596–2648 (2008)

    Article  Google Scholar 

  7. Masoudi, F.A., Bonow, R.O., Brindis, R.G., Cannon, C.P., et al.: ACC/AHA 2008 statement on performance measurement and reperfusion therapy: a report of the ACC/AHA task force on performance measures (work group to address the challenges of performance measurement and reperfusion therapy). Circulation 118, 2649–2661 (2008)

    Article  Google Scholar 

  8. Ting, H.H., Krumholtz, H.M., Bradley, E.H., Cone, D.C., Curtis, J.P., et al.: Implementation and integration of prehospital ECGs into system of care for acute coronary syndrome. Circulation 118, 1066–1079 (2008)

    Article  Google Scholar 

  9. Oltrona, L., Mafrici, A., Marzegalli, M., Fiorentini, C., Pirola, R., Vincenti, A.: a nome dei Partecipanti allo Studio GestIMA e della Sezione Regionale Lombarda dell’ANMCO e della SIC: la gestione della fase iperacuta dell’infarto miocardico con sopraslivellamento del tratto ST nella Regione Lombardia (GestIMA). Ital. Heart J. Suppl. 6, 489–497 (2005)

    Google Scholar 

  10. Inmon, W.H.: Building the data warehouse, 2nd edn. Wiley, New York, NY (1996)

    Google Scholar 

  11. Barendregt, J.J., Van Oortmarssen, J.G., Vos, T., et al.: A generic model for the assessment of disease epidemiology: the computational basis of DisMod II. Popul. Health Metr. 1, 4 (2003)

    Article  Google Scholar 

  12. Every, N.R., Frederick, P.D., Robinson, M., et al.: A comparison of the national registry of myocardial infarction with the cooperative cardiovascular project. J. Am. Coll. Cardiol. 33(7), 1887–1894 (1999)

    Article  Google Scholar 

  13. Hanratty, R., Estacio, R.O., Dickinson, L.M., et al.: Testing electronic algorithms to create disease registries in a safety net system. J. Health Care Poor Underserved 19(2), 452–465 (2008)

    Article  Google Scholar 

  14. Manuel, D.G., Lim, J.J.Y., Tanuseputro, P., et al.: How many people have a myocardial infarction? Prevalence estimated using historical hospital data. BMC Public Health 7, 174–89 (2007)

    Article  Google Scholar 

  15. Wirehn, A.B.., Karlsson, H.M., Cartensen, J.M., et al.: Estimating disease prevalence using a population-based administrative healthcare database. Scand. J. Public Health 35, 424–431 (2007)

    Article  Google Scholar 

  16. 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,” Springer (2010)

    Google Scholar 

  17. Ieva, F., Paganoni, A.M.: Statistical analysis of an integrated database concerning patients with acute coronary syndromes. In: SCo2009, Sixth Conference – Proceedings, Maggioli editore, Milano (2009)

    Google Scholar 

  18. Glance, L.G., Osler, T.M., Mukamel, D.B., et al.: Impact of the present-on-admission indicator on hospital quality measurement experience with the agency for healthcare research and quality (AHRQ) inpatient quality indicators. Med. Care 46(2), 112–119 (2008)

    Article  Google Scholar 

  19. Hughes, J.S., Averill, R.F., Eisenhandler, J., et al.: Clinical risk groups (CRGs): a classification system for risk-adjusted capitation-based payment and health care management. Med. Care 42(1), 81–90 (2004)

    Article  Google Scholar 

  20. Sibley, L.M., Moineddin, R., Agham, M.M., et al.: Risk adjustment using administrative data-based and survey-derived methods for explaining physician utilization. Med. Care 48, 175–182 (2010)

    Article  Google Scholar 

  21. Goldstein, H.: Multilevel statistical models. Arnolds, London (2003)

    MATH  Google Scholar 

  22. Mc Cullagh, P., Nelder, J.A.: Generalized linear models. Chapman & Hall/CRC, New York, NY (2000)

    Google Scholar 

  23. Hastie, T.J., Tibshirani, R.J.: Generalized additive models. Chapman & Hall/CRC, New York, NY (1999)

    Google Scholar 

  24. Ieva, F., Paganoni, A.M.: Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI2 survey. Commun. Appl. Ind. Math. 1(1), 128–147 (2010)

    MathSciNet  Google Scholar 

  25. Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F.: A Bayesian random-effects model for survival probabilities after acute myocardial infarction. Chil. J. Stat. 3(1), 1–15 (2012)

    MathSciNet  Google Scholar 

  26. Aitkin, M.: A general maximum likelihood analysis of variance components in generalized linear models. Biometrics 55, 117–128 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  27. Grieco, N., Ieva, F., Paganoni, A.M.: Performance assessment using mixed effects models: A case study on coronary patient care. IMA. J. Manag. Math. 23(2), 117–131 (2012)

    Article  MATH  Google Scholar 

  28. Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F.: Process indicators and outcome measures in the treatment of acute myocardial infarction patients. In: Faltin, R., Kenett, F., Ruggeri, F. (eds) Statistical Methods in Healthcare, chap. 10, pp. 219–229. Wiley, Chichester (2012)

    Google Scholar 

  29. Hartigan, J.A., Wong, M.A.: A K-means clustering algorithm. Appl. Stat. 28, 100–108 (1979)

    Article  MATH  Google Scholar 

  30. Baraldo, S., Ieva, F., Paganoni, A.M., Vitelli, V.: Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients. Scand. J. Stat. (2013). doi:10.1111/j.1467-9469.2012.00818.x

    Google Scholar 

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Acknowledgments

This work is within the Strategic Program “Exploitation, integration and study of current and future health databases in Lombardia for Acute Myocardial Infarction” supported by “Ministero del Lavoro, della Salute e delle Politiche Sociali” and by “Direzione Generale Sanità—Regione Lombardia.” The authors wish to thank the Working Group for Cardiac Emergency in Milano, the Cardiology Society, and the 118 Dispatch Center.

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Authors and Affiliations

  1. Dipartimento di Matematica, MOX, Politecnico di Milano, Milan, Italy

    Francesca Ieva

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  1. Francesca Ieva
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Correspondence to Francesca Ieva .

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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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Ieva, F. (2013). Designing and Mining a Multicenter Observational Clinical Registry Concerning Patients with Acute Coronary Syndromes. 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_3

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