The burden of hospitalization related to diabetes mellitus: A population-based study

Nutrition, Metabolism and Cardiovascular Diseases

Volumn 22, Issue 7, 2012, Pages 605-612

  De Berardis, G ^a   D'Ettorre, A ^a   Graziano, G ^a   Lucisano, G ^a   Pellegrini, F ^a,f   Cammarota, S ^b   Citarella, A ^b   Germinario, C A ^c   Lepore, V ^a   Menditto, E ^b   Nicolosi, A ^d   Vitullo, F ^a,e   Nicolucci, A ^a  

^a Santa Maria Imbaro   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^c UNIVERSITY OF BARI   (Italy)

^d Sicily Regional Epidemiological Observatory   (Italy)

^e Abruzzo Regional Health Care Agency (ASR Abruzzo)   (Italy)

^f CASA SOLLIEVO DELLA SOFFERENZA HOSPITAL   (Italy)

Author keywords

Administrative data; Diabetes; Epidemiology; Hospitalization; Prevalence

Indexed keywords

2,4 THIAZOLIDINEDIONE DERIVATIVE; ANTIDIABETIC AGENT; BENZAMIDE DERIVATIVE; INSULIN; MEGLITINIDE; METFORMIN;

ADOLESCENT; ADULT; AGED; ARTICLE; COST OF ILLNESS; DIABETES MELLITUS; FEMALE; HOSPITALIZATION; HUMAN; ITALY; MALE; MIDDLE AGED; PREVALENCE; RISK; TREATMENT OUTCOME;

ADOLESCENT; ADULT; AGED; BENZAMIDES; COST OF ILLNESS; DIABETES MELLITUS; FEMALE; HOSPITALIZATION; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; ITALY; MALE; METFORMIN; MIDDLE AGED; ODDS RATIO; PREVALENCE; THIAZOLIDINEDIONES; TREATMENT OUTCOME; YOUNG ADULT;

EID: 84862126213     PISSN: 09394753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.numecd.2010.10.016     Document Type: Article

References (31)

1. Wild S., Roglic G., Green A., Sicree R., King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004, 27:1047-1053.
2. Shaw J.E., Sicree R.A., Zimmet P.Z. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 2010, 87:4-14.
3. IDF diabetes atlas 2009, [Internet] Available from, International Diabetes Federation, [Accessed 5.11.09]. http://atlas.idf-bxl.org/.
4. Gnavi R., Karaghiosoff L., Costa G., Merletti F., Bruno G. Socio-economic differences in the prevalence of diabetes in Italy: the population-based Turin study. Nutr Metab Cardiovasc Dis 2008, 18:678-682. 10.1016/j.numecd.2007.11.004.
5. Zimmet P., Alberti K.G., Shaw J. Global and societal implications of the diabetes epidemic. Nature 2001, 414:782-787.
6. Zimmet P. Globalization, coca-colonization and the chronic disease epidemic: can the doomsday scenario be averted?. J Intern Med 2000, 247:301-310.
7. Zhang P., Zhang X., Brown J., Vistisen D., Sicree R., Shaw J., et al. Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Res Clin Pract 2010, 87:293-301.
8. Engelgau M.M., Geiss L.S., Saaddine J.B., Boyle J.P., Benjamin S.M., Gregg E.W., et al. The evolving diabetes burden in the United States. Ann Intern Med 2004, 140:945-950.
9. American Diabetes Association Standards of medical care in diabetes-2010. Diabetes Care 2010, 33(Suppl. 1):S11-61.
10. Ma J., Yang W., Fang N., Zhu W., Wei M. The association between intensive glycemic control and vascular complications in type 2 diabetes mellitus: a meta-analysis. Nutr Metab Cardiovasc Dis 2009, 19:596-603. 10.1016/j.numecd.2009.07.004.
11. Mannucci E., Monami M., Lamanna C., Gori F., Marchionni N. Prevention of cardiovascular disease through glycemic control in type 2 diabetes: a meta-analysis of randomized clinical trials. Nutr Metab Cardiovasc Dis 2009, 19:604-612. 10.1016/j.numecd.2009.03.021.
12. Rossi M.C., Nicolucci A., Arcangeli A., Cimino A., De Bigontina G., Giorda C., et al. Baseline quality-of-care data from a quality-improvement program implemented by a network of diabetes outpatient clinics. Diabetes Care 2008, 31:2166-2168. Associazione Medici Diabetologi Annals Study Group.
13. De Berardis G., Pellegrini F., Franciosi M., Belfiglio M., Di Nardo B., Greenfield S., et al. Quality of diabetes care predicts the development of cardiovascular events: results of the QuED study. Nutr Metab Cardiovasc Dis 2008, 18:57-65. QuED (Quality of Care and Outcomes in Type 2 Diabetes) Study Group. 10.1016/j.numecd.2006.04.009.
14. Schneeweiss S., Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol 2005, 58:323-337. 10.1016/j.jclinepi.2004.10.012.
15. Ayanian J.Z. Using administrative data to assess health care outcomes. Eur Heart J 1999, 20:1689-1691.
16. ATC index with DDDs 2003, WHO Collaborating Centre for Drug Statistics Methodology, WHO Collaborating Centre for Drug Statistic Methodology, Norway, Oslo.
17. International classification of diseases, 9th revision (clinical modification) 1998, Public Health Service, US Department of Health and Human Services, Washington.
18. Lepore V., D'Ettorre A., Valerio M., Corrado D., De Camillis P., Romero M., et al. From pharmacoepidemiology to the epidemiology of delivered care. Ital J Clin Pharm 2002, 16:102-107.
19. Winkler W.E. Comparative analysis of record linkage decision rules. Proceedings of the section on survey research methods 1992, 829-834. American Statistical Association.
20. D'Ettorre A. ReClust: technical report 2010, [Internet] Available from, [Accessed 17.05.10]. http://easi.negrisud.it/software/reclust/index.html.
21. Monte S., Macchia A., Pellegrini F., Romero M., Lepore V., D'Ettorre A., et al. Antithrombotic treatment is strongly underused despite reducing overall mortality among high-risk elderly patients hospitalized with atrial fibrillation. Eur Heart J 2006, 27:2217-2223.
22. Macchia A., Monte S., Romero M., D'Ettorre A., Tognoni G. The prognostic influence of chronic obstructive pulmonary disease in patients hospitalised for chronic heart failure. Eur J Heart Fail 2007, 9:942-948.
23. Maio V., Yuen E., Rabinowitz C., Louis D., Jimbo M., Donatini A., et al. Using pharmacy data to identify those with chronic conditions in Emilia Romagna, Italy. J Health Serv Res Policy 2005, 10:232-238.
24. Støvring H., Andersen M., Beck-Nielsen H., Green A., Vach W. Rising prevalence of diabetes: evidence from a Danish pharmaco-epidemiological database. Lancet 2003, 362:537-538.
25. Yanovitzky I., Zanutto E., Hornik R. Estimating causal effects of public health education campaigns using propensity score methodology. Eval Program Plann 2005, 28:209-220.
26. Parsons L.S. Reducing bias in a propensity score matched pair sample using greedy matching techniques. Proceedings of the twenty-sixth annual SAS users group International conference 2004, SAS Institute, Cary, NC.
27. Austin P.C., Grootendorst P., Anderson G.M. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med 2007, 26:734-753.
28. Bruno G., Merletti F., Bargero G., Melis D., Masi I., Ianni A., et al. Changes over time in the prevalence and quality of care of type 2 diabetes in Italy: the Casale Monferrato surveys, 1988 and 2000. Nutr Metab Cardiovasc Dis 2008, 18:39-45. 10.1016/j.numecd.2006.08.007.
29. Mann D.M., Woodward M., Ye F., Krousel-Wood M., Muntner P. Trends in medication use among US adults with diabetes mellitus: glycemic control at the expense of controlling cardiovascular risk factors. Arch Intern Med 2009, 169:1718-1720.
30. Donnan P.T., Leese G.P., Morris A.D. Hospitalizations for people with type 1 and type 2 diabetes compared with the nondiabetic population of Tayside, Scotland: a retrospective cohort study of resource use. Diabetes Care 2000, 23:1774-1779. Diabetes Audit and Research in Tayside, Scotland/Medicine Monitoring Unit Collaboration.
31. Smith N.L., Maynard C. The burden of diabetes-associated cardiovascular hospitalizations in Veterans administration (VA) and non-VA medical facilities. Diabetes Care 2004, 27(Suppl. 2):B27-32.