Novel approaches in diabetic nephropathy

Dit proefschrift laat zien dat het carnosinase-1 gen (CNDP1) voorspellend is voor het risico op eindstadium nierfalen bij patiënten met type 1 diabetes. In tegenstelling tot de bevindingen van cross-sectionele studies bij patiënten met type 2 diabetes, blijkt de homozygote variant voor het laagste aantal leucines (5L-5L) in het CNDP1 gen niet te beschermen tegen achteruitgang van nierfunctie bij patiënten met type 2 diabetes. Vrouwen met 5L-5L lijken een verhoogd risico op cardiovasculaire mortaliteit te hebben vergeleken met vrouwen met andere varianten. Deze bevinding kan van invloed zijn geweest op de resultaten van cross-sectionele studies. Prospectief onderzoek is noodzakelijk om een beter inzicht te krijgen in de rol van het CNDP1 gen bij diabetische nefropathie. De rol van ACE I/D SNP als genetische risicofactor voor het ontwikkelen van albuminurie bij patiënten met type 2 diabetes kunnen aantonen. Een recent beschreven SNP in het CCR2 (CCR2 V64I) is echter niet voorspellend gebleken voor het risico op het ontstaan van albuminurie. Analyse van eiwitten en collageenfragmenten in de urine (urine-proteomics) is een bruikbare diagnostische methode voor diabetische nefropathie in vroeg stadium. Hierdoor is het in de toekomst wellicht mogelijk om patiënten met diabetes en een verhoogd risico op nefropathie tijdig te behandelen. De laatste conclusie van dit proefschrift luidt dat er geen bewijs is voor het gebruik van benfotiamine (een vitamine B1 derivaat) bij patiënten met type 2 diabetes, omdat het niet leidt tot vermindering van albuminurie of andere markers van nierschade

On Healing HeARTs: A Saudi Woman Perspective on the Experience of Baby Loss, Art, and Compassion

The dissertation, “On Healing HeARTs: A Saudi Woman’s Perspective on the Experience of Baby Loss,” investigates how Shia Saudi bereaved mothers create meaning and make sense of their experience of baby loss. It explores the importance of art and compassion in the healing process. Using a multi-method design that includes art-based methods and autoethnography, I narrate my own experience of baby loss. The study relies on theories of sense-making and constructivism to interpret my findings. Looking at the experience from a unique cultural lens enables the readers and health providers to comprehend how certain cultural factors contribute to both the suffering and healing process. The study expands previous research and contributes to the body of knowledge of communication studies by exploring a fundamental component of the human condition: death. Four themes emerged from the research: continuing bonds, loss as an opportunity for growth, living a new normal, and identity reconstruction. I argue that art and compassion have the potential to help women in their healing process. The project contributes to family and health communication by advocating for the importance of compassion and expressive arts to facilitate the healing process, while addressing a taboo topic: the experience of baby death and loss. The study has the potential to advance women’s health and patient-centered communication by exploring the bereavement experiences of women from the East. The project aims to challenge and change the status quo of lacking compassion through highlighting the importance of empowerment, meaning-making, connection, identity reconstruction, and emotional expression for bereaved women to bring comfort and facilitate healing. The research was funded by fellowships from the University of Denver’s Communication Department in 2020 and 2021

Alpha Lipoic Acid for Symptomatic Peripheral Neuropathy in Patients with Diabetes: A Meta-Analysis of Randomized Controlled Trials

Objective. We performed a systematic review of the literature to evaluate the effects of alpha lipoic acid for symptomatic peripheral neuropathy in patients with diabetes mellitus. Research design and methods. The databases MEDLINE and EMBASE were searched using the key words “lipoic acid”, “thioctic acid”, “diabet∗”, and the MeSH-terms “thioctic acid” and “diabetes mellitus”. Randomised controlled trials using the TSS score as the outcome measure were selected and assessed for their methodological quality. Study selection and quality assessment were performed independently by three observers. Results. Overall, the pooled standardized mean difference estimated from all trials revealed a reduction in TSS scores of −2.26 (CI: −3.12 to −1.41; P = 0.00001) in favour of alpha lipoic acid administration. Subgroup analyses of oral administration (−1.78 CI: −2.45 to −1.10; P = 0.00001) and intravenous administration (−2.81 CI: −4.16 to −1.46; P = 0.0001) confirmed the robustness of the overall result. Conclusions. When given intravenously at a dosage of 600 mg/day over a period of 3 weeks, alpha lipoic acid leads to a significant and clinically relevant reduction in neuropathic pain (grade of recommendation A). It is unclear if the significant improvements seen after 3–5 weeks of oral administration at a dosage of >600 mg/day are clinically relevant

Comparison of Methods for Renal Risk Prediction in Patients with Type 2 Diabetes (ZODIAC-36)

BACKGROUND: Patients with diabetes are at high risk of death prior to reaching end-stage renal disease, but most models predicting the risk of kidney disease do not take this competing risk into account. We aimed to compare the performance of Cox regression and competing risk models for prediction of early- and late-stage renal complications in type 2 diabetes. METHODS: Patients with type 2 diabetes participating in the observational ZODIAC study were included. Prediction models for (micro)albuminuria and 50% increase in serum creatinine (SCr) were developed using Cox regression and competing risk analyses. Model performance was assessed by discrimination and calibration. RESULTS: During a total follow-up period of 10 years, 183 out of 640 patients (28.6%) with normoalbuminuria developed (micro)albuminuria, and 22 patients (3.4%) died without developing (micro)albuminuria (i.e. experienced the competing event). Seventy-nine out of 1,143 patients (6.9%) reached the renal end point of 50% increase in SCr, while 219 (19.2%) died without developing the renal end point. Performance of the Cox and competing risk models predicting (micro)albuminuria was similar and differences in predicted risks were small. However, the Cox model increasingly overestimated the risk of increase in SCr in presence of a substantial number of competing events, while the performance of the competing risk model was quite good. CONCLUSIONS: In this study, we demonstrated that, in case of substantial numbers of competing events, it is important to account for the competing risk of death in renal risk prediction in patients with type 2 diabetes

Development and external validation of a model to predict complex treatment after RFA for Barrett's esophagus with early neoplasia

Background & Aims: Endoscopic eradication therapy for Barrett's esophagus (BE)-related neoplasia is safe and leads to complete eradication in the majority of patients. However, a subgroup will experience a more complex treatment course with a risk for failure or disease progression. Early identification of these patients may improve patient counseling and treatment outcomes. We aimed to develop a prognostic model for a complex treatment course. Methods: We collected data from a nationwide registry that captures outcomes for all patients undergoing endoscopic eradication therapy for early BE neoplasia. A complex treatment course was defined as neoplastic progression, treatment failure, or the need for endoscopic resection during the radiofrequency ablation treatment phase. We developed a prognostic model using logistic regression. We externally validated our model in an independent registry. Results: A total of 1386 patients were included, of whom 78 (6%) had a complex treatment course. Our model identified patients with a BE length of 9 cm or longer with a visible lesion containing high-grade dysplasia/cancer, and patients with less than 50% squamous conversion after radiofrequency ablation were identified as high risk for a complex treatment. This applied to 8% of the study population and included 93% of all treatment failures and 76% of all patients with advanced neoplastic progression. The model appeared robust in multiple sensitivity analyses and performed well in external validation (area under the curve, 0.84). Conclusions: We developed a prognostic model that identified patients with a BE length of 9 cm or longer and high-grade dysplasia/esophageal adenocarcinoma and those with poor squamous regeneration as high risk for a complex treatment course. The good performance in external validation suggests that it may be used in clinical management (Netherlands Trial Register: NL7039)

Multicentric validation of proteomic biomarkers in urine specific for diabetic nephropathy

Background: Urine proteome analysis is rapidly emerging as a tool for diagnosis and prognosis in disease states. For diagnosis of diabetic nephropathy (DN), urinary proteome analysis was successfully applied in a pilot study. The validity of the previously established proteomic biomarkers with respect to the diagnostic and prognostic potential was assessed on a separate set of patients recruited at three different European centers. In this case-control study of 148 Caucasian patients with diabetes mellitus type 2 and duration >= 5 years, cases of DN were defined as albuminuria >300 mg/d and diabetic retinopathy (n = 66). Controls were matched for gender and diabetes duration (n = 82). Methodology/Principal Findings: Proteome analysis was performed blinded using high-resolution capillary electrophoresis coupled with mass spectrometry (CE-MS). Data were evaluated employing the previously developed model for DN. Upon unblinding, the model for DN showed 93.8% sensitivity and 91.4% specificity, with an AUC of 0.948 (95% CI 0.898-0.978). Of 65 previously identified peptides, 60 were significantly different between cases and controls of this study. In <10% of cases and controls classification by proteome analysis not entirely resulted in the expected clinical outcome. Analysis of patient's subsequent clinical course revealed later progression to DN in some of the false positive classified DN control patients. Conclusions: These data provide the first independent confirmation that profiling of the urinary proteome by CE-MS can adequately identify subjects with DN, supporting the generalizability of this approach. The data further establish urinary collagen fragments as biomarkers for diabetes-induced renal damage that may serve as earlier and more specific biomarkers than the currently used urinary albumin

Serum Peroxiredoxin 4:A Marker of Oxidative Stress Associated with Mortality in Type 2 Diabetes (ZODIAC-28)

BACKGROUND: Oxidative stress plays an underlying pathophysiologic role in the development of diabetes complications. The aim of this study was to investigate peroxiredoxin 4 (Prx4), a proposed novel biomarker of oxidative stress, and its association with and capability as a biomarker in predicting (cardiovascular) mortality in type 2 diabetes mellitus. METHODS: Prx4 was assessed in baseline serum samples of 1161 type 2 diabetes patients. Cox proportional hazard models were used to evaluate the relationship between Prx4 and (cardiovascular) mortality. Risk prediction capabilities of Prx4 for (cardiovascular) mortality were assessed with Harrell's C statistic, the integrated discrimination improvement and net reclassification improvement. RESULTS: Mean age was 67 and the median diabetes duration was 4.0 years. After a median follow-up period of 5.8 years, 327 patients died; 137 cardiovascular deaths. Prx4 was associated with (cardiovascular) mortality. The Cox proportional hazard models added the variables: Prx4 (model 1); age and gender (model 2), and BMI, creatinine, smoking, diabetes duration, systolic blood pressure, cholesterol-HDL ratio, history of macrovascular complications, and albuminuria (model 3). Hazard ratios (HR) (95% CI) for cardiovascular mortality were 1.93 (1.57 - 2.38), 1.75 (1.39 - 2.20), and 1.63 (1.28 - 2.09) for models 1, 2 and 3, respectively. HR for all-cause mortality were 1.73 (1.50 - 1.99), 1.50 (1.29 - 1.75), and 1.44 (1.23 - 1.67) for models 1, 2 and 3, respectively. Addition of Prx4 to the traditional risk factors slightly improved risk prediction of (cardiovascular) mortality. CONCLUSIONS: Prx4 is independently associated with (cardiovascular) mortality in type 2 diabetes patients. After addition of Prx4 to the traditional risk factors, there was a slightly improvement in risk prediction of (cardiovascular) mortality in this patient group