scholarly journals Mortality in patients with diabetes mellitus and Addison’s disease: a nationwide, matched, observational cohort study

2017 ◽  
Vol 176 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Dimitrios Chantzichristos ◽  
Anders Persson ◽  
Björn Eliasson ◽  
Mervete Miftaraj ◽  
Stefan Franzén ◽  
...  

Objective Our hypothesis was that patients with diabetes mellitus obtain an additional risk of death if they develop Addison’s disease (AD). Design and methods Nationwide, matched, observational cohort study cross-referencing the Swedish National Diabetes Register with Inpatient, Cancer and Cause of Death Registers in patients with diabetes (type 1 and 2) and AD and matched controls with diabetes. Clinical characteristics at baseline, overall, and cause-specific mortality were assessed. The relative risk of death was assessed using a Cox proportional hazards regression model. Results Between January 1996 and December 2012, 226 patients with diabetes and AD were identified and matched with 1129 controls with diabetes. Median (interquartile range) follow-up was 5.9 (2.7–8.6) years. When patients with diabetes were diagnosed with AD, they had an increased frequency of diabetes complications, but both medical history of cancer and coronary heart disease did not differ compared with controls. Sixty-four of the 226 patients with diabetes and AD (28%) died, while 112 of the 1129 controls (10%) died. The estimated relative risk increase (hazard ratio) in overall mortality in the diabetes and AD group was 3.89 (95% confidence interval 2.84–5.32) compared with controls with diabetes. The most common cause of death was cardiovascular in both groups, but patients with diabetes and AD showed an increased death rate from diabetes complications, infectious diseases and unknown causes. Conclusions Patients with the rare combination of diabetes and AD showed a markedly increased mortality and died more frequently from infections and unknown causes than patients with diabetes alone. Improved strategy for the management of this combination of metabolic disorders is needed.

2020 ◽  
Vol 32 (1) ◽  
pp. 138-150 ◽  
Author(s):  
Simona Hapca ◽  
Moneeza K. Siddiqui ◽  
Ryan S.Y. Kwan ◽  
Michelle Lim ◽  
Shona Matthew ◽  
...  

BackgroundThere are few observational studies evaluating the risk of AKI in people with type 2 diabetes, and even fewer simultaneously investigating AKI and CKD in this population. This limits understanding of the interplay between AKI and CKD in people with type 2 diabetes compared with the nondiabetic population.MethodsIn this retrospective, cohort study of participants with or without type 2 diabetes, we used electronic healthcare records to evaluate rates of AKI and various statistical methods to determine their relationship to CKD status and further renal function decline.ResultsWe followed the cohort of 16,700 participants (9417 with type 2 diabetes and 7283 controls without diabetes) for a median of 8.2 years. Those with diabetes were more likely than controls to develop AKI (48.6% versus 17.2%, respectively) and have preexisting CKD or CKD that developed during follow-up (46.3% versus 17.2%, respectively). In the absence of CKD, the AKI rate among people with diabetes was nearly five times that of controls (121.5 versus 24.6 per 1000 person-years). Among participants with CKD, AKI rate in people with diabetes was more than twice that of controls (384.8 versus 180.0 per 1000 person-years after CKD diagnostic date, and 109.3 versus 47.4 per 1000 person-years before CKD onset in those developing CKD after recruitment). Decline in eGFR slope before AKI episodes was steeper in people with diabetes versus controls. After AKI episodes, decline in eGFR slope became steeper in people without diabetes, but not among those with diabetes and preexisting CKD.ConclusionsPatients with diabetes have significantly higher rates of AKI compared with patients without diabetes, and this remains true for individuals with preexisting CKD.


Rheumatology ◽  
2019 ◽  
Vol 59 (8) ◽  
pp. 1949-1956 ◽  
Author(s):  
Kathrine L Grøn ◽  
Bente Glintborg ◽  
Mette Nørgaard ◽  
Frank Mehnert ◽  
Mikkel Østergaard ◽  
...  

Abstract Objectives Most infections in patients with RA are treated in primary care with antibiotics. A small fraction require hospitalization. Only a few studies exist regarding the overall risk of infection (i.e. prescription of antibiotics or hospitalization due to infection) in patients initiating non-TNF-inhibitor therapy. In Danish RA patients initiating abatacept, rituximab and tocilizumab treatment in routine care, the aims were to compare adjusted incidence rates (IR) of infections and to estimate relative risk of infections across the drugs during 0–12 and 0–24 months. Methods This was an observational cohort study including all RA patients in the DANBIO registry starting a non-TNF-inhibitor from 2010 to 2017. Infections were defined as a prescription of antibiotics or hospitalization due to infection. Prescriptions, comorbidities and infections were captured through linkage to national registries. IRs of infections (age, gender adjusted) and rate ratios (as estimates of RR (relative risk)), adjusted for additional covariates) (Poisson regression) were calculated. Results We identified 3696 treatment episodes (abatacept 1115, rituximab 1017, tocilizumab 1564). At baseline, rituximab users were older and had more previous cancer. During 0–12 months, 1747 infections occurred. Age and gender-adjusted IRs per 100 person-years were as follows: abatacept: 76 (95% CI: 69, 84); rituximab: 87 (95% CI: 79, 96); tocilizumab: 77 (95% CI: 71, 84). Adjusted RRs were 0.94 (95% CI: 0.81, 1.08) for abatacept and 0.94 (95% CI: 0.81, 1.03) for tocilizumab compared with rituximab and 1.00 (95% CI: 0.88, 1.14) for abatacept compared with tocilizumab. RRs around 1 were observed after 24 months. Switchers and ever smokers had higher risk compared with biologic-naïve and never smokers, respectively. Conclusion Overall infections were common in non-TNF-inhibitor-treated RA patients, with a tendency towards rituximab having the highest risk, but CIs were wide in all analyses. Confounding by indication may at least partly explain any differences.


2018 ◽  
Vol 40 (4) ◽  
pp. 587-592 ◽  
Author(s):  
Stefano Raffaele Giannubilo ◽  
Angela Pasculli ◽  
Chiara Ballatori ◽  
Alessandra Biagini ◽  
Andrea Ciavattini

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