The Value of Glycemic Control Prior to Cancer Diagnosis on All-Cause Mortality among Patients with Type 2 Diabetes in Dutch Primary Care.

BACKGROUND: Poor glycemic control prior to cancer diagnosis for patients with preexisting type 2 diabetes (T2DM) may predict a worse cancer diagnosis. We investigated the association between pre-diagnosis glycemic control and all-cause mortality in patients with T2DM who develop cancer. METHODS: This prospective cohort study linked data from three sources covering 1989 to 2019: a T2DM benchmarking database, the Netherlands Cancer Registry, and the Personal Records Database. We included patients with T2DM and incident primary breast, colorectal, or prostate cancer (stage 0-III), with target glycemic control defined according to Dutch guidelines. Analysis involved estimating the association between glycemic control and all-cause mortality with Cox proportional hazard models, accounting for individual expected survival relative to the general population and relevant disease (e.g., diabetes duration and medications) and individual (e.g., age and gender) characteristics. RESULTS: Of the 71,648 linked cases, 620 had breast cancer, 774 had colorectal cancer, and 438 had prostate cancer, with follow-up data available for 6.4 (4.2-8.4), 5.6 (2.7-7.6), and 6.3 (4.5-8.2) years, respectively. Compared with patients with pre-diagnosis glycemic control at target, the HRs and 95% confidence intervals for mortality among those with pre-diagnosis glycemic control not at target were 1.40 (1.00-1.96) for breast cancer, 1.45 (1.12-1.88) for colorectal cancer, and 1.39 (0.98-1.98) for prostate cancer. CONCLUSIONS: Among patients with T2DM in Dutch primary care, poor glycemic control before diagnosis with breast and colorectal cancer can increase mortality compared with good control. IMPACT: Glycemic control prior to cancer diagnosis is of prognostic value.

Type 2 Diabetes Mellitus and Clinicopathological Tumor Characteristics in Women Diagnosed with Breast Cancer: A Systematic Review and Meta-Analysis.

Poor prognosis caused by type 2 diabetes mellitus (T2DM) in women with breast cancer is conferred, while the association between T2DM and breast tumor aggressiveness is still a matter of debate. This study aimed to clarify the differences in breast cancer characteristics, including stage, size, lymph node status, grade, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (Her2), between patients with and without pre-existing T2DM. PubMed, Embase, and Web of Science were searched for studies from 1 January 2010 to 2 July 2021. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were pooled by using a random effects model. T2DM was significantly associated with tumor stages III/IV versus cancers in situ and stages I/II (pooled ORs (pOR), 95% CI: 1.19; 1.04-1.36, p = 0.012), tumor size >20 versus ≤20 mm (pOR, 95% CI: 1.18; 1.04-1.35, p = 0.013), and lymph node invasion versus no involvement (pOR, 95% CI: 1.26; 1.05-1.51, p = 0.013). These findings suggest that women with T2DM are at a higher risk of late-stage tumors, large tumor sizes, and invasive lymph nodes at breast cancer diagnosis.

The Risk of Cutaneous Squamous Cell Carcinoma Among Patients with Type 2 Diabetes Receiving Hydrochlorothiazide: A Cohort Study.

BACKGROUND: Because of continuous hyperglycemia and hyperinsulinemia and the use of photosensitizing drug, hydrochlorothiazide (HCTZ), the risk of cutaneous squamous cell carcinoma (cSCC) might be increased among patients with diabetes. This study aimed to estimate the risk of cSCC among HCTZ users with type 2 diabetes, and to determine whether thiazide-like diuretics, another drug in the same class with HCTZ, would be safer. METHODS: We linked the benchmarking database in Dutch primary care, the Netherlands Cancer Registry, and the Dutch Personal Records Database (1998-2019). All 71,648 patients were included, except for those who had a history of skin cancer prior to cohort entry. We used Cox modeling to estimate the HRs and 95% confidence intervals for cSCC. The model was adjusted by cumulative exposure to each antihypertensive, age, sex, smoking, body mass index, blood pressure, serum creatinine, other confounding drug use at cohort entry, and cohort entry year. RESULTS: There were 1,409 cSCC events (23 among thiazide-like diuretics users), during a follow-up of 679,789 person-years. Compared with no HCTZ use, the adjusted HRs for HCTZ use were 1.18 (1.00-1.40) for ≤2 years, 1.57 (1.32-1.88) for 2 to 4 years, and 2.09 (1.73-2.52) for >4 years. The HR was 0.90 (0.79-1.03) for an additional year of thiazide-like diuretic use. CONCLUSIONS: In patients with diabetes, exposure to HCTZ for >2 years is associated with an increased risk of cSCC, whereas no increased risk associated with thiazide-like diuretics was observed. IMPACT: The potential increased risk of cSCC should be a consideration when prescribing HCTZ, with thiazide-like diuretics offering a safer alternative.

Glycemic Control for Colorectal Cancer Survivors Compared to Those without Cancer in the Dutch Primary Care for Type 2 Diabetes: A Prospective Cohort Study.

Cancer survivors with diabetes tend to have worse glycemic control after their cancer diagnosis, which may increase the risk of cardiovascular diseases. We aimed to investigate whether glycemic control differs between colorectal cancer (CRC) survivors and those without cancer, among patients with type 2 diabetes being treated in the Dutch primary care. The Zwolle Outpatient Diabetes project Integrating Available Care database was linked with the Dutch Cancer Registry (n = 71,648, 1998-2014). The cases were those with stage 0-III CRC, and the controls were those without cancer history. The primary and secondary outcomes were the probability of reaching the glycated hemoglobin (HbA1c) target and the mean of HbA1c during follow-up, respectively. Mixed linear modeling was applied, where the status of CRC was a time-varying variable. Among the 57,330 patients included, 705 developed CRC during follow-up. The mean probability of reaching the HbA1c target during follow-up was 73% versus 74% (p = 0.157) for CRC survivors versus those without cancer, respectively. The mean HbA1c was 51.1 versus 50.8 mmol/mol (p = 0.045) among CRC survivors versus those without cancer, respectively. We observed a clinically comparable glycemic control among the CRC survivors without cancer, indicating that glycemic control for CRC survivors can be delegated to primary care professionals.

Is Gliclazide Associated with a Lower Obesity-Related Cancer Risk Compared to Other Sulfonylureas? A Long-term Prospective Cohort Study.

BACKGROUND: Gliclazide has been suspected to be associated with a lower obesity-related cancer risk; however, current evidence is limited by important methodologic shortcomings. This study aimed to evaluate whether gliclazide is preferred over other sulfonylureas regarding obesity-related cancer risk. METHODS: In this prospective cohort study, an annual benchmarking database in Dutch primary care (Zwolle Outpatient Diabetes project Integrating Available CareZODIAC, 1998-2014) was linked to the Netherlands Cancer Registry and the Dutch Personal Record Database. Of the 71,648 patients with type 2 diabetes, we included 26,207 who used sulfonylureas and had no history of cancer or insulin use at baseline. Obesity-related cancer was defined using the latest definition of the World Cancer Research Fund. Cox regression analyses were used to estimate HRs, with both baseline sulfonylurea and cumulative exposure modeled and corrected for baseline covariates. RESULTS: During follow-up for 167,692 person-years, there were 1,111 obesity-related cancer events. For males, the adjusted HRs [95% confidence interval (CI)] for baseline sulfonylurea compared with gliclazide were as follows: glibenclamide, 1.10 (0.92-2.69); glimepiride, 1.13 (0.68-1.84); and tolbutamide, 0.93 (0.59-1.48). For females, these were as follows: glibenclamide, 1.49 (0.72-3.13); glimepiride, 0.96 (0.59-1.54); and tolbutamide, 0.84 (0.54-1.28). The adjusted HRs (95% CI) for one more year of cumulative exposure compared with gliclazide were as follows: glibenclamide, 0.90 (0.71-1.14); glimepiride, 0.96 (0.87-1.06); and tolbutamide, 1.00 (0.92-1.09). For females, these were as follows: glibenclamide, 0.93 (0.77-1.13); glimepiride, 0.99 (0.90-1.10); and tolbutamide, 1.04 (0.96-1.13). CONCLUSIONS: Obesity-related cancer risk was comparable between gliclazide and other sulfonylureas. IMPACT: Gliclazide is not preferred over other sulfonylureas regarding obesity-related cancer risk.

Sulfonylurea derivatives and cancer, friend or foe?

Type 2 diabetes mellitus (T2DM) is associated with a higher risk of cancer and cancer-related mortality. Increased blood glucose and insulin levels in T2DM patients may be, at least in part, responsible for this effect. Indeed, lowering glucose and/or insulin levels pharmacologically appears to reduce cancer risk and progression, as has been demonstrated for the biguanide metformin in observational studies. Studies investigating the influence of sulfonylurea derivatives (SUs) on cancer risk have provided conflicting results, partly due to comparisons with metformin. Furthermore, little attention has been paid to within-class differences in systemic and off-target effects of the SUs. The aim of this systematic review is to discuss the available preclinical and clinical evidence on how the different SUs influence cancer development and risk. Databases including PubMed, Cochrane, Database of Abstracts on Reviews and Effectiveness, and trial registries were systematically searched for available clinical and preclinical evidence on within-class differences of SUs and cancer risk. The overall preclinical and clinical evidence suggest that the influence of SUs on cancer risk in T2DM patients differs between the various SUs. Potential mechanisms include differing affinities for the sulfonylurea receptors and thus differential systemic insulin exposure and off-target anti-cancer effects mediated for example through potassium transporters and drug export pumps. Preclinical evidence supports potential anti-cancer effects of SUs, which are of interest for further studies and potentially repurposing of SUs. At this time, the evidence on differences in cancer risk between SUs is not strong enough to guide clinical decision making.

Serum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis.

Aims: Both hypo- and hyperkalaemia can have immediate deleterious physiological effects, and less is known about long-term risks. The objective was to determine the risks of all-cause mortality, cardiovascular mortality, and end-stage renal disease associated with potassium levels across the range of kidney function and evaluate for consistency across cohorts in a global consortium. Methods and results: We performed an individual-level data meta-analysis of 27 international cohorts [10 general population, 7 high cardiovascular risk, and 10 chronic kidney disease (CKD)] in the CKD Prognosis Consortium. We used Cox regression followed by random-effects meta-analysis to assess the relationship between baseline potassium and adverse outcomes, adjusted for demographic and clinical characteristics, overall and across strata of estimated glomerular filtration rate (eGFR) and albuminuria. We included 1 217 986 participants followed up for a mean of 6.9 years. The average age was 55 ± 16 years, average eGFR was 83 ± 23 mL/min/1.73 m2, and 17% had moderate- to-severe increased albuminuria levels. The mean baseline potassium was 4.2 ± 0.4 mmol/L. The risk of serum potassium of >5.5 mmol/L was related to lower eGFR and higher albuminuria. The risk relationship between potassium levels and adverse outcomes was U-shaped, with the lowest risk at serum potassium of 4-4.5 mmol/L. Compared with a reference of 4.2 mmol/L, the adjusted hazard ratio for all-cause mortality was 1.22 [95% confidence interval (CI) 1.15-1.29] at 5.5 mmol/L and 1.49 (95% CI 1.26-1.76) at 3.0 mmol/L. Risks were similar by eGFR, albuminuria, renin-angiotensin-aldosterone system inhibitor use, and across cohorts. Conclusions: Outpatient potassium levels both above and below the normal range are consistently associated with adverse outcomes, with similar risk relationships across eGFR and albuminuria.

Effects of three frequencies of self-monitored blood glucose on HbA1c and quality of life in patients with type 2 diabetes with once daily insulin and stable control: a randomized trial.

OBJECTIVE: The optimal frequency of self-monitoring of blood glucose (SMBG) in patients with type 2 diabetes (T2DM) with stable glycemic control is unknown. This study investigated effects of 3 frequencies of SMBG on glycemic control and quality of life after 9 months in patients using one long-acting insulin injection a day. In an open-label, multi-center, primary-care, parallel (1:1:1) randomized trial in the Netherlands including patients with T2DM, HbA1c ≤ 58 mmol/mol (≤ 7.5%), stable glycemic control, treated with one insulin injection daily, three frequencies of 4-point glucose measurements (before meals and bedtime) were weekly (n = 22), every 2 weeks (n = 16) and monthly (n = 20) were compared. RESULTS: A total of 58 patients with T2DM were included by 38 general practitioners, which was lower then anticipated. There were no significant between group differences in HbA1c (mmol/mol); group C compared to A and B; - 2.7 (95% CI - 6.4, 1.0) and - 1.0 (95% CI - 4.9, 3.0) and quality of life. Baring in mind the lower than anticipated inclusion rate, there were no significant differences in HbA1c and quality of life between three different frequencies of SMBG in patients with stable glycemic control using one long-acting insulin injection. Trial registration NCT01460459, registered 10-2011, recruitment between 05-2011 and 12-2011.

Association between body mass index and obesity-related cancer risk in men and women with type 2 diabetes in primary care in the Netherlands: a cohort study (ZODIAC-56).

OBJECTIVE: To investigate the relationship between body mass index (BMI) and obesity-related cancers in men and women with type 2 diabetes (T2D). DESIGN: Observational cohort study. SETTING: Primary care. PARTICIPANTS: A total of 52 044 patients with T2D who participated in the ZODIAC (Zwolle Outpatient Diabetes project Integrating Available Care) study between 1998 and 2012 was included (49% women). A dataset of these patients was linked to available information of the Netherlands Cancer Registry to obtain data on cancer incidents. PRIMARY OUTCOME MEASURES: Analyses were performed for the total group of obesity-related cancers and for non-sex-specific and sex-specific obesity-related cancers (in men: advanced prostate cancer, in women: ovarian, endometrial and postmenopausal breast cancer). RESULTS: The median follow-up period in all analyses was 3.1 (1.7-5.0) years in men and 3.1 (1.7-5.1) in women. During follow-up, 689 men and 914 women were diagnosed with an obesity-related cancer. In men, BMI was associated with a higher risk of the total group of obesity-related cancers and non-sex-specific obesity-related cancers (HR (per 5 kg/m2 increase) 1.12 (95% CI 1.02 to 1.23) and HR 1.18 (95% CI 1.06 to 1.31)). No association was found with prostate cancer. In women, an association between BMI and all obesity-related cancers combined and sex-specific obesity-related cancers was present (HR 1.15 (95% CI 1.08 to 1.22) and HR 1.22 (95% CI 1.14 to 1.32)). No association with non-sex-specific cancers was found in women. CONCLUSIONS: BMI is associated with obesity-related cancers in men with T2D, except with advanced prostate cancer. The results of this study provide reason to reconsider the classification of advanced prostate cancer as an obesity-related cancer, at least in T2D. In women, BMI is associated with the total group of obesity-related cancers and with sex-specific obesity-related cancers.

Sex differences in obesity related cancer incidence in relation to type 2 diabetes diagnosis (ZODIAC-49).

BACKGROUND: Diabetes and obesity seem to be partly overlapping risk factors for the development of obesity-related cancer (mainly breast, prostate and colorectal cancer) in patients with type 2 diabetes (T2DM). In the general population, women have a lower risk for obesity-related cancer compared to men. Previous studies involving cardiovascular disease have shown that T2DM eliminates a female advantage of lower CVD risk in the general population compared to men. It is unclear whether the same could be true for obesity-related cancer. This study aimed to this investigate obesity-related cancer incidence in women and men known with T2DM as compared to the Dutch general population. METHODS: This study included 69,583 patients with T2DM selected from a prospective primary care cohort, which was linked to the Dutch National Cancer Registry to obtain cancer specific data. Obesity-related cancers included liver, kidney, colorectal, gallbladder, pancreas, ovarian, endometrial, advanced prostate cancer, post-menopausal breast cancer and oesophageal adenocarcinoma. Primary outcome was sex-stratified, age and year of cancer diagnosis adjusted standardized incidence ratios (SIRs) for three time periods: 5 years before, the year after diagnosis and the next 4 years after T2DM diagnosis. The Dutch general population was used as reference group. RESULTS: Women with T2DM were at an increased risk for obesity-related cancer compared to women in the general population already 5 years before diabetes diagnosis (SIR 1.77; 95%CI: 1.63-1.91). In both men and women, there was a peak in obesity-related cancer incidence following diabetes diagnosis (SIR: 1.38; 95%CI 1.11-1.64 and SIR: 2.21; 95%CI 1.94-2.30, respectively). From the second to the fifth year after diabetes diagnosis the obesity-related cancer incidence was higher in women compared to women in the general population (SIR: 2.12; 95%CI 1.94-2.30). CONCLUSIONS: Women with T2DM seem to have a substantially higher obesity-related cancer risk. As opposed to men, in women this risk was already increased years before diabetes diagnosis. These results could imply that a relative advantage of women in the general population with regard to cancer risk is lost in women with T2DM.

Sex differences in survival of patients with type 2 diabetes in primary care (ZODIAC-50).

OBJECTIVE: To investigate sex differences in survival of primary care treated patients with type 2 diabetes (T2D) in the Netherlands. SETTING: Primary care. PARTICIPANTS: A total of 1815 patients who participated in a prospective observational cohort study (Zwolle Outpatient Diabetes Project Integrating Available Care (ZODIAC)) were included of which 56% was female. Inclusion took place in 1998, 1999 and 2001. Vital status was assessed in 2013. MAIN OUTCOME MEASURE: Relative survival of men and women with T2D. The relative survival rate was expressed as the ratio of observed survival of patients divided by the survival of the general population in the Netherlands with comparable age. RESULTS: After 14 years, 888 (49%) patients had died. The relative survival rate was 0.88 (0.81-0.94) for men and 0.82 (0.76-0.87) for women with T2D after 14 years (p value for difference between sexes=0.169). In patients without a history of cardiovascular diseases (CVD), the relative survival was 0.99 (0.94-1.05) in men and 0.92 (0.87-0.97) in women (p value for difference between sexes=0.046). CONCLUSIONS: The survival of men and women with T2D was 12% and 18% lower, respectively, after 14 years of follow-up compared with men and women in the general population. This corresponds to a decrease in median survival of 2.2 and 3.5 years in men and women, respectively. Only for patients with T2D without a history of CVD, a significantly lower relative survival in women compared with men with T2D was found.

Within-class differences in cancer risk for sulfonylurea treatments in patients with type 2 diabetes (ZODIAC-55) - a study protocol.

BACKGROUND: Patients with type 2 diabetes (T2D) are at increased risk for developing cancer. As approximately 8% of the world's population is living with T2D, even a slight increase in cancer risk could result in an enormous impact on the number of persons developing cancer. In addition, several glucose lowering drug classes for treating patients with T2D have been associated with a difference in risk of cancer overall, and especially for obesity related cancers. In what way and to what degree cancer risk is modified by the use of different sulfonylureas (SU) is unclear. The primary aim of this study will be to evaluate within-class SU differences in obesity related cancer risk. Secondary aims will be to investigate within-class SU differences in risk for all cancers combined and site-specific cancers separately (i.e. breast, colorectal, prostate, bladder and lung cancer) and to account for duration-response relationships between individual SU use and cancer risk. METHODS: Patients will be selected from a Dutch primary care cohort of patients with T2D linked with the Dutch Cancer Registration (ZODIAC-NCR). Within this cohort study annually collected clinical data (e.g. blood pressure, weight, HbA1c) and nationwide data on cancer incidence are available. Time-dependent cox proportional hazard analyses will be performed to evaluate SU cancer risk, adjusted for potential confounders. DISCUSSION: This study will be the first prospective cohort study investigating within-class SU differences in cancer risk and could contribute to improved decision making regarding the individual drugs within the class of SUs, and possibly improve quality of life and result in an increased cost-effectiveness of healthcare in patients with T2D. TRIAL REGISTRATION: Nederlands Trialregister ( NTR6166 ), 6 Jan 2017.

Addition of sulphonylurea to metformin does not relevantly change body weight: a prospective observational cohort study (ZODIAC-39).

AIM: To investigate changes in body weight trajectories after the addition of individual sulphonylureas (SUs) to metformin in patients with type 2 diabetes. MATERIALS AND METHODS: We conducted a retrospective observational cohort study, in a primary care setting in the Netherlands. Patients aged ≥18 years with type 2 diabetes who were included in the ZODIAC cohort between 1998 and 2012 and who received metformin monotherapy at inclusion (n = 29 195), and had used metformin as monotherapy for at least 1 year before receiving dual therapy through the addition of an SU for at least 1 year were eligible for inclusion. The primary outcome was within-drug yearly change in body weight after receiving add-on therapy with individual SUs during 5 years of follow-up. The secondary outcome was within-drug yearly change in glycated haemoglobin (HbA1c). Annual changes in weight and HbA1c were estimated with linear mixed models, adjusted for age, gender and diabetes duration. RESULTS: A total of 2958 patients were included. No significant weight changes were observed within and between any of the individual SUs after treatment intensification (p = 0.24). In addition, no significant difference in weight between the add-on therapy combinations was observed (p = 0.26). The average HbA1c the year before intensification was 7.2% (55 mmol/mol) and dropped below 7.0% (53 mmol/mol) the year after. CONCLUSIONS: In patients with type 2 diabetes treated in primary care, strict glycaemic control can be maintained with SUs used as add-on therapy to metformin, without the offset of relevant weight changes.

Within-Sulfonylurea-Class Evaluation of Time to Intensification with Insulin (ZODIAC-43).

BACKGROUND: Previous studies have shown that many within-class differences exist between sulfonylureas (SUs), however, whether differences exist regarding the time it takes between initiating an SU and the need to intensify treatment with insulin is unclear. The aim of this study was investigate the relationships between the three frequently used sulphonylureas, prescribed as dual therapy next to metformin, and the time needed to treatment intensification with either insulin or oral triple therapy in patients with type 2 diabetes mellitus. METHODS: Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) is a prospective observational cohort study set in primary care in the Netherlands. Annually collected data on diabetes medication and clinical variables within ZODIAC are used to evaluate the primary outcome, time to insulin and secondary outcome, time to either insulin or triple oral therapy. For statistical analysis a time-dependent cox proportional hazard model was used. RESULTS: 3507 patients were included in the analysis, with a mean age of 61 (SD 11.4) and a median HbA1c of 6.8% [IQR 6.4-7.4] (50.8 mmol/mol [IQR 46.4-57.4]).The hazard ratio (HR) for the primary endpoint was 1.10 (95% CI 0.78-1.54) for metformin/glimepiride and 0.93 (95% CI 0.67-1.30) for metformin/tolbutamide with metformin/gliclazide as reference group. The HR for the secondary outcome was 1.04 (95% CI 0.78-1.40) and 0.85 (95% CI 0.64-1.13), respectively. CONCLUSION: In this large Dutch primary care cohort, new users of neither gliclazide, glimepiride nor tolbutamide as dual therapy with metformin, resulted in differences in the time needed for further treatment intensification.

Inflammation biomarkers and mortality prediction in patients with type 2 diabetes (ZODIAC-27).

BACKGROUND: C-reactive protein (CRP), procalcitonin (PCT) and pro-adrenomedullin (MR-proADM) are inflammation markers associated with long-term mortality risk. We compared the associations and predictive capacities of CRP, PCT and MR-proADM with cardiovascular and all-cause mortality in patients with type 2 diabetes. METHODS: This study included primary care treated patients with type 2 diabetes participating in the ZODIAC cohort study. A total of 1005 out of 1688 patients (60%) had complete baseline variables. Baseline CRP, PCT and MR-proADM were assessed in relation to cardiovascular and all-cause mortality with Cox proportional hazard analyses. Hazard Ratios (HR) were adjusted for age, gender, BMI, smoking, systolic blood pressure, cholesterol-HDL ratio, duration of diabetes, HbA1c, history of cardiovascular diseases, albumin-creatinine ratio and creatinine. Risk prediction capabilities were assessed with Harrell's C statistics and proportion of explained variance (R(2)). RESULTS: After a median follow-up of 11 years, 472 (47%) of 1005 patients had died. The likelihood ratio test showed that CRP and MR-proADM significantly improved prediction in cardiovascular mortality [HRs 1.20 (95%CI 1.09-1.33) and 1.56 (95%CI 1.06-2.30)] and in all-cause mortality [HRs 1.10 (95%CI: 1.03-1.18) and 1.31 (95%CI 1.02-1.69)]. Harrell's C values and R(2) measures showed slightly improved discrimination for cardiovascular mortality in patients without macrovascular disease (C: 0.80 to 0.81; R(2): 0.50 to 0.52) and MR-proADM (C: 0.80 to 0.82; R(2): 0.50 to 0.52). CONCLUSIONS: CRP and MR-proADM, but not PCT, were independently associated with cardiovascular and all-cause mortality. In patients without macrovascular diseases, CRP and MR-proADM slightly improved discrimination, in absolute sense, of patients at risk for cardiovascular mortality.

High-sensitive troponin T is associated with all-cause and cardiovascular mortality in stable outpatients with type 2 diabetes (ZODIAC-37).

BACKGROUND: We aimed to investigate whether high-sensitive cardiac troponin T (hs-cTnT) is associated with all-cause and cardiovascular mortality in stable type 2 diabetes (T2D) outpatients treated in primary care. METHODS: Cardiac troponin T was measured with a high-sensitive assay at baseline in patients with T2D participating in the observational ZODIAC study. Cox proportional hazards models were used to investigate the relationship between hs-cTnT and mortality with adjustment for selected confounders. Risk prediction capabilities of hs-cTnT were assessed with Harrell C statistics. RESULTS: Complete baseline data were available for 1,133 patients. During median follow-up of 11 (7-14) years, 513 (45%) patients died, of which 218 (42%) died of cardiovascular causes. Of the patients with undetectable hs-cTnT levels (<3 ng/L), only 23% died, compared with 58% with low detectable levels (3-14 ng/L) and 84% with raised levels (≥14 ng/L). Natural log hs-cTnT was significantly associated with all-cause mortality (hazard ratio 1.30, 95% CI 1.19-1.42) and cardiovascular mortality (hazard ratio 1.33, 95% CI 1.15-1.53), independent of potential confounders. The Harrell C statistic for the crude model of hs-cTnT was 0.72 (95% CI 0.70-0.75) for all-cause mortality and 0.74 (95% CI 0.71-0.77) for cardiovascular mortality. CONCLUSIONS: Higher levels of hs-cTnT are associated with mortality in stable outpatients with T2D. The high crude Harrell C values and the excellent prognosis of patients with undetectable levels illustrate the strength of hs-cTnT as a potential marker for mortality.