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Abstract Introduction: Acute kidney injury is a frequent complication in patients with COVID-19 and its occurrence is a potential indicator of multi-organ dysfunction and disease severity. Objective: Develop, through an expert consensus, evidence-based recommendations for the prevention, diagnosis, and management of acute kidney injury in patients with SARS CoV2 / COVID-19 infection. Materials and methods: Based on a rapid systematic review in Embase and Pubmed databases and documents from scientific societies, we made preliminary recommendations and consulted with an expert group through an online tool. Then we defined agreement after at least 70 % consensus approval. Quality evidence was evaluated according to the type of document included. The strength of the recommendations was graded as strong or weak. Results: Fifty clinical experts declared their conflict of interest; the consultation took place between May 2 and 29, 2020. The range of agreement ranged from 75.5 % to 100 %. Recommendations for prevention, diagnosis and management of acute kidney injury in patients with SARS CoV2 infection are presented. Conclusions: Although the good quality information available regarding acute kidney injury in patients with COVID-19 is scarce, the recommendations of clinical experts will guide clinical decision-making and strategies around patients with this complication, guaranteeing care focused on the people, with high quality standards, and the generation of safety, health and wellness policies for multidisciplinary care teams.
Subject(s)
Humans , Male , Female , COVID-19 , Patients , Colombia , Diagnosis , Acute Kidney InjuryABSTRACT
Resumen Antecedentes: la mortalidad en diálisis es uno de los principales indicadores de gestión clínica y se ve influenciada por diversos factores sociodemográficos y clínicos. Objetivos: calcular la mortalidad observada versus la esperada en las unidades de diálisis de la red de RTS en Colombia. Métodos: cohorte histórica de pacientes mayores de 18 años, prevalentes en diálisis entre el 1 de enero y el 31 de diciembre de 2012, de 51 unidades renales de la red Renal Therapy Services (RTS). Se calculó la razón estandarizada de mortalidad (REM) siguiendo la metodología propuesta por la Universidad de Michigan Centro de Costos y Epidemiologic Renal (UM-KECC); se implementó un modelo de supervivencia de riesgos proporcionales de Cox en dos etapas, la primera estimó los parámetros asociados con las variables explicativas y la segunda estandarizó los resultados. Resultados: se evaluaron 9798 pacientes, 4125 (42.1%) fueron mujeres, la media de edad fue de 59 años (DE=15.6). Se observaron 1253 eventos de muerte (12.7%). El modelo arrojó un valor de 1067 muertes esperadas, con un valor estimado de REM de 1.17 (IC95%: 1.11-1.24). La REM fue mayor para pacientes diabéticos 1.28 (IC95%:1.19-1.38) y mujeres (1.36 (IC95%: 1.25-1.48); y varió significativamente por zona del país (1.11 a 2.0). Conclusiones: encontramos diferencias importantes en la REM según sexo, presencia de diabetes y por zonas del país. Se requiere mediante nuevos estudios entender mejor la influencia de estas y otras variables sobre el fenómeno de mortalidad en diálisis en nuestro contexto. (Acta Med Colomb 2017; 42: 106-111).
Abstract Background: mortality in dialysis is one of the main indicators of clinical management and is influenced by various socio-demographic and clinical factors. Objectives: to calculate the observed versus expected mortality in the dialysis units of the RTS network in Colombia. Methods: a historical cohort of patients older than 18 years, prevalent on dialysis between January 1 and December 31, 2012, of 51 renal units of the Renal Therapy Services (RTS) network. The standardized mortality ratio (SMR) was calculated following the methodology proposed by the University of Michigan Center for Costs and Renal Epidemiology (UM-KECC); a Cox proportional hazards survival model was implemented in two stages, the first estimated the parameters associated with the explanatory variables and the second standardized the results. Results: 9798 patients were evaluated, 4125 (42.1%) were women. The mean age was 59 years (SD = 15.6). There were 1253 death events (12.7%). The model gave a value of 1067 expected deaths, with an estimated SMR value of 1.17 (95% CI: 1.11-1.24). SMR was greater for diabetic patients 1.28 (95% CI: 1.19-1.38) and women (1.36 (95% CI: 1.25-1.48)) and it varied significantly depending on the region of the country (1.11 to 2.0). Conclusions: important differences in SMR according to sex, presence of diabetes and by regions of the country were found. Further studies are required to better understand the influence of these and other variables on the mortality phenomenon in dialysis in our context. (Acta Med Colomb 2017; 42: 106-111).