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.

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.

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.

<b><i>Introduction:</i></b> We aimed to assess the validity and reproducibility of a wearable hydration device in a cohort of maintenance dialysis patients. <b><i>Methods:</i></b> 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. <b><i>Results:</i></b> 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 (<i>r</i> = 0.27 and <i>r</i> = 0.27, respectively), as well as weight loss during dialysis (<i>r</i> = 0.31), but not ultrafiltration volume (<i>r</i> = 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), [<i>t</i>(39) = 0.38, <i>p</i> = 0.71]. <b><i>Conclusion:</i></b> 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.

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