Browsing by Autor "Stuart L. Goldstein"

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Assessment of a modified renal angina index for AKI prediction in critically ill adults
(Oxford University Press, 2021) Victor Ortiz-Soriano; Shaowli Kabir; Rolando Claure‐Del Granado; Arnold J. Stromberg; Robert D. Toto; Orson W. Moe; Stuart L. Goldstein; Javier A. Neyra
In critically ill adults, the adult mRAI score determined within the first day of ICU admission outperformed changes in SCr for the prediction of AKI Stage ≥2 at Days 2-7 of ICU stay. The mRAI is a feasible tool for AKI risk stratification in adult patients in the ICU.
Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases
(Elsevier BV, 2023) Zaid K. Yousif; Jejo Koola; Etienne Macedo; Jorge Cerdá; Stuart L. Goldstein; Rajasekara Chakravarthi; Andrew Lewington; David T. Selewski; Michael Zappitelli; Dinna N. Cruz
Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup
(Nature Portfolio, 2023) Kianoush Kashani; Linda Awdishu; Sean M. Bagshaw; Erin F. Barreto; Rolando Claure‐Del Granado; Barbara J. Evans; Lui G. Forni; Erina Ghosh; Stuart L. Goldstein; Sandra L. Kane‐Gill
Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the health of individuals in community, acute care and post-acute care settings. Although the recognition, prevention and management of AKI has advanced over the past decades, its incidence and related morbidity, mortality and health care burden remain overwhelming. The rapid growth of digital technologies has provided a new platform to improve patient care, and reports show demonstrable benefits in care processes and, in some instances, in patient outcomes. However, despite great progress, the potential benefits of using digital technology to manage AKI has not yet been fully explored or implemented in clinical practice. Digital health studies in AKI have shown variable evidence of benefits, and the digital divide means that access to digital technologies is not equitable. Upstream research and development costs, limited stakeholder participation and acceptance, and poor scalability of digital health solutions have hindered their widespread implementation and use. Here, we provide recommendations from the Acute Disease Quality Initiative consensus meeting, which involved experts in adult and paediatric nephrology, critical care, pharmacy and data science, at which the use of digital health for risk prediction, prevention, identification and management of AKI and its consequences was discussed.