Excess Risk of Dying From Infectious Causes in Those With Type 1 and Type 2 XXXX .

@entity1 @entity295 @entity6 @entity55 @entity4034 @entity281 @entity164 @entity204
OBJECTIVE: To investigate @entity281 -related mortality in individuals with @entity164 1 and @entity164 2 @entity6 . RESEARCH DESIGN AND METHODS: A total of 1,108,982 individuals with @entity6 who were registered with the Australian @entity6 register between 2000 and 2010 were linked to the National Death Index. Mortality outcomes were defined as @entity281 -relatedA-B @entity204 (ICD codes A99-B99), @entity55 (J12-J189), @entity295 (A40 and A41), and @entity4034 (M86). RESULTS: During a median follow-up of 6.7 years, there were 2,891, 2,158, 1,248, and 147 deaths from @entity281 -relatedA-B causes, @entity55 , @entity295 , or @entity4034 , respectively. Crude mortality rates from infectionsA-B were 0.147 and 0.431 per 1,000 @entity1 -years in @entity164 1 and @entity164 2 @entity6 , respectively. Standardized mortality ratios (SMRs) were higher in @entity164 1 and @entity164 2 @entity6 for all outcomes after adjustment for age and sex. For @entity281 -relatedA-B mortality, SMRs were 4.42 (95% CI 3.68-5.34) and 1.47 (1.42-1.53) for @entity164 1 and @entity164 2 @entity6 (P < 0.001), respectively. For @entity55 in @entity164 1 @entity6 , SMRs were approximately 5 and 6 in males and females, respectively, while the excess risk was    20% for @entity164 2 (both sexes). For @entity295 , SMRs were approximately 10 and 2 for @entity164 1 and @entity164 2 @entity6 , respectively, and similar by sex. For @entity4034 in @entity164 1 @entity6 , SMRs were 16 and 58 in males and females, respectively, and    3 for @entity164 2 @entity6 (both sexes). CONCLUSIONS: Although @entity204 owing to @entity281 is rare, we confirm that @entity1 with @entity6 have an increased mortality from a range of @entity281 , compared with the general population, and that the increased risk appears to be greater for @entity164 1 than @entity164 2 @entity6 .
