COKE LIVe: recurrent vasculitis secondary to cocaine contaminated with levamisole.

Levamisole-induced vasculitis (LIV) is becoming an increasingly common entity secondary to both rising cocaine use in the UK and high levels of adulteration of cocaine with various contaminants. We report the first documented case of LIV secondary to adulterated cocaine in Ireland, which presented as a 6-year history of recurrent vasculitis of unknown aetiology. Classically, LIV is diagnosed by a combination of positive ANCA serology and agranulocytosis however, given the frequency of cocaine use, we urge acute physicians to consider the diagnosis in cases of typical retiform (angulated) purpura in association with a history of cocaine use.

Pilot Study of a Wearable Hydration Monitor in Haemodialysis Patients: Haemodialysis Outcomes & Patient Empowerment Study 02.

Introduction: We aimed to assess the validity and reproducibility of a wearable hydration device in a cohort of maintenance dialysis patients. Methods: We conducted a prospective, single-arm observational study on 20 haemodialysis patients between January and June 2021 in a single centre. A prototype wearable infrared spectroscopy device, termed the Sixty device, was worn on the forearm during dialysis sessions and nocturnally. Bioimpedance measurements were performed 4 times using the body composition monitor (BCM) over 3 weeks. Measurements from the Sixty device were compared with the BCM overhydration index (litres) pre- and post-dialysis and with standard haemodialysis parameters. Results: 12 out of 20 patients had useable data. Mean age was 52 ± 12.4 years. The overall accuracy for predicting pre-dialysis categories of fluid status using Sixty device was 0.55 [K = 0.00; 95% CI: -0.39-0.42]. The accuracy for the prediction of post-dialysis categories of volume status was low [accuracy = 0.34, K = 0.08; 95% CI: -0.13-0.3]. Sixty outputs at the start and end of dialysis were weakly correlated with pre- and post-dialysis weights (r = 0.27 and r = 0.27, respectively), as well as weight loss during dialysis (r = 0.31), but not ultrafiltration volume (r = 0.12). There was no difference between the change in Sixty readings overnight and the change in Sixty readings during dialysis (mean difference 0.09 ± 1.5 kg), [t(39) = 0.38, p = 0.71]. Conclusion: A prototype wearable infrared spectroscopy device was unable to accurately assess changes in fluid status during or between dialysis sessions. In the future, hardware development and advances in photonics may enable the tracking of interdialytic fluid status.

Learning Methodological Lessons from Exemplar Studies in Nephrology: PEXIVAS and Sample Size Calculation.

Sample size calculations are fundamental to the power of a study. Estimates of the necessary sample size to achieve a given treatment effect size can be performed pre-trial based on available literature.Sample size calculations take into account the chosen effect size i.e. the minimal effect of the treatment which would be considered clinically relevant. Smaller effect sizes require a sufficiently large sample size or higher event rate to detect differences between groups. Larger effect sizes are sometimes chosen for study in order to justify the risks of adverse events and expense of certain treatments.Lower than expected event rates, mediated by censoring and competing risks, period effects, and inclusion of patients at lower risk of the outcome, can impact the power of the study.Time-to-event study designs adjust for censoring and competing risks.If a lower than expected event rate is highlighted during an interim analysis, strategies include increasing the sample size, either by changing the inclusion or exclusion criteria, increasing the number of study centers or increasing the study duration.

Artificial intelligence and digital health for volume maintenance in hemodialysis patients.

Chronic fluid overload is associated with morbidity and mortality in hemodialysis patients. Optimizing the diagnosis and treatment of fluid overload remains a priority for the nephrology community. Although current methods of assessing fluid status, such as bioimpedance and lung ultrasound, have prognostic and diagnostic value, no single system or technique can be used to maintain euvolemia. The difficulty in maintaining and assessing fluid status led to a publication by the Kidney Health Initiative in 2019 aimed at fostering innovation in fluid management therapies. This review article focuses on the current limitations in our assessment of extracellular volume, and the novel technology and methods that can create a new paradigm for fluid management. The cardiology community has published research on multiparametric wearable devices that can create individualized predictions for heart failure events. In the future, similar wearable technology may be capable of tracking fluid changes during the interdialytic period and enabling behavioral change. Machine learning methods have shown promise in the prediction of volume-related adverse events. Similar methods can be leveraged to create accurate, automated predictions of dry weight that can potentially be used to guide ultrafiltration targets and interdialytic weight gain goals.

Protocol of a pilot-scale, single-arm, observational study to assess the utility and acceptability of a wearable hydration monitor in haemodialysis patients.

BACKGROUND: Fluid overload has a high prevalence in haemodialysis patients and is an important risk factor for excess mortality and hospitalisations. Despite the risks associated with chronic fluid overload, it is clinically difficult to assess and maintain fluid status adequately. Current methods of fluid status assessment are either imprecise or time intensive. In particular, to date, no method exists to accurately assess fluid status during the interdialytic interval. OBJECTIVES: This pilot study aimed to evaluate whether a prototype wearable hydration monitor can accurately and reproducibly detect fluid overload in the haemodialysis population when compared to haemodialysis and bioimpedance data. METHODS: A prospective, open-label, single-arm observational trial of 20 patients commenced in January 2021 in a single haemodialysis centre in Ireland, with a wearable hydration monitor, the Sixty device. The Sixty device uses diffuse reflectance spectroscopy to measure fluid levels at the level of the subdermis and uses machine learning to develop an algorithm that can determine fluid status. The Sixty device was worn at every dialysis session and nocturnally over a three-week observational period. Haemodialysis parameters including interdialytic weight gain, ultrafiltration volume, blood pressure, and relative blood volume were collected from each session, and bioimpedance measurements using the Fresenius body composition monitor were performed on 4 occasions as a comparator. The primary objective of this trial was to determine the accuracy and reproducibility of the Sixty device compared to bioimpedance measurements. CONCLUSION: If the accuracy of the wearable hydration monitor is validated, further studies will be conducted to integrate the device output into a multi-parameter machine learning algorithm that can provide patients with actionable insights to manage fluid overload in the interdialytic period. TRIAL REGISTRATION: www.clinicaltrials.gov NCT04623281 . Registered November 10th, 2020.

Granulomatous interstitial nephritis secondary to adalimumab therapy.

Tumour necrosis factor α (TNF-α) inhibitors are frequently used for the treatment of immune-mediated diseases. Conversely, cytokine therapy has the potential to paradoxically induce autoimmunity. A number of case reports have emerged concerning sarcoid-like granulomatosis secondary to TNF-α therapy, an adverse effect that typically affects the pulmonary and cutaneous systems. Granulomatous interstitial nephritis (GIN) is a relatively unknown, relatively under-reported consequence of adalimumab therapy that can have important clinical implications. To our knowledge, this is the first case report of GIN secondary to anti-TNF-α therapy necessitating a prolonged period of dialysis and the first report demonstrating the successful use of secukinumab as an alternative immunomodulatory agent.