Dataset Information

Incidence and risk factors for cancer in people with type 1 diabetes, stratified by stages of diabetic kidney disease: a nationwide Finnish cohort study.

ABSTRACT:

Background

Individuals with type 1 diabetes (T1D) have been reported to have increased overall risk of cancer. In addition, individuals with a kidney transplant/transplantation (KT) have markedly increased cancer risk due to chronic use of immunosuppressive agents. However, it has not been elucidated whether the observed excess cancer risk is related to KT or whether diabetic kidney disease (DKD) per se is a risk factor for cancer in individuals with T1D.

Methods

The study included 5035 individuals from the Finnish Diabetic Nephropathy Study (FinnDiane) and 14,061 control individuals without diabetes. We assessed the standardized incidence ratios (SIRs) for cancers in individuals with T1D compared to controls according to DKD status. Cox regression analyses were used to identify potential risk factors for cancer in individuals with type 1 diabetes.

Findings

The SIR for overall cancer for all participants was 1.14 (1.05-1.24), for participants without KT 0.92 (0.83-1.01) and for participants with KT 4.78 (4.02-5.64). Participants without KT had in fact a reduced risk of prostate cancer with a SIR of 0.54 (0.37-0.76), cancer of urinary organs 0.41 (0.21-0.73) and respiratory and intrathoracic organs, 0.62 (0.38-0.97). Participants with KT had on the contrary an increased risk of non-melanoma skin cancer, SIR 14.50 (10.99-18.86), cancer in the lymphoid and hematopoietic tissue 5.38 (2.99-8.96), mouth or pharynx 5.13 (2.08-10.66), melanoma 5.12 [2.38-9.72]) and respiratory and intrathoracic organs 2.77 (1.21-5.49). The risk of thyroid cancer was increased both in participants without KT, SIR 2.14 (1.39-3.16) and with KT 5.30 (1.68-12.78).

Interpretation

The excess overall cancer risk in individuals with type 1 diabetes is only seen in KT recipients and in thyroid cancer. The individuals without KT seem to have a decreased risk of some forms of cancer.

Funding

Folkhälsan Research Foundation, Academy of Finland [316664], Wilhelm and Else Stockmann Foundation, Liv och Hälsa Society, Novo Nordisk Foundation [NNF OC0013659], Finnish Foundation for Cardiovascular Research, Finnish Diabetes Research Foundation, Medical Society of Finland, Sigrid Jusélius Foundation, and Helsinki University Hospital Research Funds [TYH2018207 and TYH 2020305].

SUBMITTER: Feodoroff M

PROVIDER: S-EPMC10964474 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature

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Publications

Incidence and risk factors for cancer in people with type 1 diabetes, stratified by stages of diabetic kidney disease: a nationwide Finnish cohort study.

Feodoroff Maija M Harjutsalo Valma V Mäkimattila Sari S Groop Per-Henrik PH

The Lancet regional health. Europe 20240316

<h4>Background</h4>Individuals with type 1 diabetes (T1D) have been reported to have increased overall risk of cancer. In addition, individuals with a kidney transplant/transplantation (KT) have markedly increased cancer risk due to chronic use of immunosuppressive agents. However, it has not been elucidated whether the observed excess cancer risk is related to KT or whether diabetic kidney disease (DKD) per se is a risk factor for cancer in individuals with T1D.<h4>Methods</h4>The study include ...[more]

PMID: 38533378

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Project description:IntroductionDiabetic ketoacidosis is an acute complication of diabetes mellitus that is characterised by hyperglycemia, acidosis, and ketonuria. Diabetes is the most challenging public health problem in the twenty-first century for both developed and developing countries.ObjectiveTo assess the incidence of Diabetic ketoacidosis and its determinants among adult people with diabetes at an Ethiopian Hospital.MethodAn institution-based retrospective cohort study was conducted among 390 adult people with diabetes attending services at Wolida Comprehensive Specialized Hospital. The consecutive sampling method was used to select study participant charts. Data were collected using a checklist prepared from different literature. The data were entered into EPI data version 4.6.0.5 and exported to STATA version 14.0 for further analysis. The Wiebull model was the best fitted model that was selected using the log-likelihood ratio method and the Akakian information criterion. Hazard ratios with their 95% confidence interval and p-value were computed.ResultFrom the total 405 charts reviewed, 390 adult charts were included for analysis. A total of 121 DKA occurred from 5471 person-months of observation. The overall incidence rate of diabetic ketoacidosis was found to be 2.2 per 100 person-months (95% CI: 1.8- 2.6). Being urban dweller (AHR: 0.59, 95% CI: 0.36-0.99), having no family history of DM (AHR: 0.55, 95%CI: 0.31-0.97), presence of infection (AHR: 2.60, 95%CI = 1.06-6.39), having of any comorbidities (AHR: 4.31, 95% CI: 1.70-10.90), and having poor glycemic control (AHR: 7.45, 95% CI: 3.84-14.47) were significant determinants.Conclusion and recommendationsThe overall incidence of diabetic ketoacidosis in study area was relatively high. Poor glycemic control, the presence of infection, and comorbidity were determinants of diabetic ketoacidosis. There is a need to have close follow-up of people with diabetes who have comorbidity, infection, and poor glycemic control.

Project description:BackgroundChronic kidney disease (CKD) is a common comorbidity in people with diabetes mellitus, and a key risk factor for further life-threatening conditions such as cardiovascular disease. The early prediction of progression of CKD therefore is an important clinical goal, but remains difficult due to the multifaceted nature of the condition. We validated a set of established protein biomarkers for the prediction of trajectories of estimated glomerular filtration rate (eGFR) in people with moderately advanced chronic kidney disease and diabetes mellitus. Our aim was to discern which biomarkers associate with baseline eGFR or are important for the prediction of the future eGFR trajectory.MethodsWe used Bayesian linear mixed models with weakly informative and shrinkage priors for clinical predictors (n = 12) and protein biomarkers (n = 19) to model eGFR trajectories in a retrospective cohort study of people with diabetes mellitus (n = 838) from the nationwide German Chronic Kidney Disease study. We used baseline eGFR to update the models' predictions, thereby assessing the importance of the predictors and improving predictive accuracy computed using repeated cross-validation.ResultsThe model combining clinical and protein predictors had higher predictive performance than a clinical only model, with an [Formula: see text] of 0.44 (95% credible interval 0.37-0.50) before, and 0.59 (95% credible interval 0.51-0.65) after updating by baseline eGFR, respectively. Only few predictors were sufficient to obtain comparable performance to the main model, with markers such as Tumor Necrosis Factor Receptor 1 and Receptor for Advanced Glycation Endproducts being associated with baseline eGFR, while Kidney Injury Molecule 1 and urine albumin-creatinine-ratio were predictive for future eGFR decline.ConclusionsProtein biomarkers only modestly improve predictive accuracy compared to clinical predictors alone. The different protein markers serve different roles for the prediction of longitudinal eGFR trajectories potentially reflecting their role in the disease pathway.

Dataset Information

Incidence and risk factors for cancer in people with type 1 diabetes, stratified by stages of diabetic kidney disease: a nationwide Finnish cohort study.

Background

Methods

Findings

Interpretation

Funding

Publications

Incidence and risk factors for cancer in people with type 1 diabetes, stratified by stages of diabetic kidney disease: a nationwide Finnish cohort study.

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