ABSTRACT
Older adults living in nursing homes are the most vulnerable group of the COVID-19 pandemic. There are many difficulties in isolating residents and limiting the spread in this setting. We have developed a simple algorithm with a traffic light format for resident classification and sectorization within nursing homes, based on basic diagnostic tests, surveillance of symptoms onset, and close contact monitoring. We have implemented the algorithm in several centers with good data on adherence. Suggestions for implementation and evaluation are discussed.
Subject(s)
Algorithms , COVID-19/prevention & control , Nursing Homes , Humans , Patient Isolation/organization & administration , SARS-CoV-2ABSTRACT
BACKGROUND: Delayed leukoencephalopathy (DL) is a rare entity associated with cerebral hypoxia and heroin consumption. We describe the clinical course of three cases of DL due to non-heroin drug use. MATERIAL AND METHODS: We describe the cases of three DL patients admitted to our hospital in 2012. DISCUSSION: These cases contribute to the aetiological spectrum of DL since multifactorial causes could account for the clinical symptoms. LEARNING POINTS: Substances toxic to the CNS can damage the CNS directly (direct toxicity) or by depressing the respiratory centre (cerebral hypoxia).As clinical manifestations can appear after a time lag, we recommend a period of initial monitoring.Histological and radiological findings can contribute to better understanding of the pathophysiological mechanisms and causes involved.
