35th Hemophilia Symposium: Hamburg 2004 by W. Schramm, H. Krebs (auth.), Professor Dr. med. Inge

By W. Schramm, H. Krebs (auth.), Professor Dr. med. Inge Scharrer, Professor Dr. med. Wolfgang Schramm (eds.)

This booklet includes the contribution to the thirty fifth Hemophilia Symposium, Hamburg 2004. the most themes are epidemiology, hazard of infections and inhibitors in hemophilia, power hemophilic synovitis and long term result of orthopedic remedy, laboratory diagnostics and pediatric hemostaseology. the quantity is rounded off via various unfastened papers and posters on hemophilia and hemorrhagic issues and inhibitors in hemophilia.

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Chorba TL, Holman RC, Clarke MJ, Evatt BL: Effects of HIV infection on age and cause of death for persons with hemophilia A in the United States. Am J Hematol. 2001 Apr;66(4):229–40 2. Darby SC, Kan SW, Spooner RJ, Giangrande PL, Lee CA, Makris M, Sabin CA, Watson HG, Wilde JT, Winter M; UK Haemophilia Centre Doctors’ Organisation: The impact of HIV on mortality rates in the complete UK haemophilia population. AIDS. 2004 Feb 20;18(3): 525–33 3. Quintana M, del Amo J, Barrasa A, Perez-Hoyos S, Ferreros I, Hernandez F, Villar A, Jimenez V, Bolumar F: Progression of HIV infection and mortality by hepatitis C infection in patients with haemophilia over 20 years.

In addition to the patients’ data the registry provides the address of each treatment center (actually 18) and the name of its responsible medical chief. The rights of the individual users vary according to their status and affiliation to the treatment center, the individual users have different rights. ), however, they will only have insight into the data of patients of other treatment centers without authorization for changes. e. name and surname and date of birth, are blocked for regular users, for security reasons these data can only be modified by selected administrators.

Once again mentionable is the low portion of only 2 reported deaths with no comment (13,6%), improving data quality clearly. Arranging data for greater periods of time one can see these changes obviously (see Fig. 2b, d, f). Clustered data for the years 1982 to 1994 and 1994 to 2004 gives us a statistical significant difference between these periods concerning all important causes of death as HIV (p < 0,001), liver disease (p < 0,025) and cancer (p < 0,001). a) c) HIV b) Liver disease Cancer Fig.

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