Increasing incidence and mortality of infective endocarditis: a population-based study through a record-linkage system

BMC Infectious Diseases

Research Article

Dora Buonfrate¹  Giampietro Pellizzer¹  Ugo Fedeli²  Elena Schievano²  Paolo Spolaore² 

[1] Infectious Diseases Unit, Vicenza Hospital, Italy;SER - Epidemiological Department, Veneto Region, Italy;

关键词: Infective Endocarditis;    Rheumatic Heart Disease;    Index Admission;    Microbiological Data;    Veneto Region;   

DOI  :  10.1186/1471-2334-11-48

 received in 2010-08-30, accepted in 2011-02-23,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundFew population-based studies provide epidemiological data on infective endocarditis (IE). Aim of the study is to analyze incidence and outcomes of IE in the Veneto Region (North-Eastern Italy).MethodsResidents with a first hospitalization for IE in 2000-2008 were extracted from discharge data and linked to mortality records to estimate 365-days survival. Etiology was retrieved in subsets of this cohort by discharge codes and by linkage to a microbiological database. Risk factors for mortality were assessed through logistic regression.Results1,863 subjects were hospitalized for IE, with a corresponding crude rate of 4.4 per 100,000 person-years, increasing from 4.1 in 2000-2002 to 4.9 in 2006-2008 (p = 0.003). Median age was 68 years; 39% of subjects were hospitalized in the three preceding months. 23% of patients underwent a cardiac valve procedure in the index admission or in the following year. Inhospital mortality was 14% (19% including hospital transfers); 90-days and 365-days mortality rose through the study years. Mortality increased with age and the Charlson comorbidity index, in subjects with previous hospitalizations for heart failure, and (in the subcohort with microbiological data) in IE due to Staphylococci (40% of IE).ConclusionsThe study demonstrates an increasing incidence and mortality for IE over the last decade. Analyses of electronic archives provide a region-wide picture of IE, overcoming referral biases affecting single clinic or multicentric studies, and therefore represent a first fundamental step to detect critical issues related to IE.

【 授权许可】

CC BY   
© Fedeli et al; licensee BioMed Central Ltd. 2011