Presidencia de la Nación

Alta de caso de COVID-19


Recomendaciones para la selección de la modalidad de seguimiento de casos sospechosos o confirmados de COVID-19

Actualizado al 24 de junio de 2020

En el marco de la pandemia de COVID-19 y con la finalidad de brindar atención de calidad, minimizar complicaciones vinculados a COVID-19, optimizar recursos asistenciales y disminuir la transmisión de SARS-CoV-2 se ha desarrollado el presente documento para contribuir a la evaluación del alta definitiva:

Se recomienda:

Criterio de retiro de aislamiento - Criterio de selección del paciente
Criterio de retiro de aislamiento - Criterio de selección del paciente

En el caso de imposibilidad de seguimiento en centros intermedios, para poder otorgar seguimiento domiciliario, se deberá cumplimentar con todos los criterios estipulados en el documento de aislamiento domiciliario.
Ver documento
El alta en este escenario se otorgará cuando cumpla los criterios según presentación clínica o de grupo especifico.

Algoritmo para alta de aislamiento de casos COVID-19
Algoritmo para alta de aislamiento de casos COVID-19

Fuente

  1. A cluster of the Corona Virus Disease 2019 caused by incubation period transmission in Wuxi, China., Gao Y, et al., J Infect (2020)
  2. Clinical and Virologic Characteristics of the First 12 Patients with Coronavirus Disease 2019 (COVID-19) in the United States, Midgley CM, Kujawski SA, Wong KK, Collins, JP, Epstein., Killerby ME et al., Nature Medicine (2020)
  3. Clinical Course and Outcomes of Patients with Severe Acute Respiratory Syndrome Coronavirus 2 Infection: a Preliminary Report of the First 28 Patients from the Korean Cohort Study on COVID-19, Kim ES, Chin BS, Kang CK, et al., J Korean Med Sci. 2020;35(13):e142
  4. Clinical course and risk factors for mortality of adult in patients with COVID-19 in Wuhan, China: a retrospective cohort study, Zhou F, Yu T, Du R, et al., Lancet (London, England) (2020)
  5. Duration of SARS-CoV-2 viral shedding during COVID-19 infection, Guo-Qing Qian, Xue-Qin Chen, Ding-Feng Lv, Ada Hoi Yan Ma, Li-Ping Wang, Nai-Bin Yang & Xiao-Min Chen, Infectious Diseases (2020)
  6. Dynamic profile of RT-PCR findings from 301 COVID-19 patients in Wuhan, China: a descriptive study, Ai Tang Xiao, et al., Journal of Clinical Virology (2020)
  7. Epidemiologic Features and Clinical Course of Patients Infected With SARS-CoV-2 in Singapore, Young BE, Ong SWX, Kalimuddin S, et al., Jama (2020)
  8. Factors associated with prolonged viral RNA shedding in patients with COVID-19, Xu K, Chen Y, Yuan J, et al., Clin Infect Dis (2020)
  9. Predicting infectious SARS-CoV-2 from diagnostic samples. Bullard J, Dust K, Funk D, Strong JE, Alexander D, Garnett L, et al. Clin Infect Dis (2020)
  10. Presymptomatic SARS-CoV-2 infections and transmission in a skilled nursing facility, Arons MM, Hatfield KM, Redd SC, Kimball A, James A, Jacobs JR, et al., N Engl J Med (2020)
  11. Profile of RT-PCR for SARS-CoV-2: a preliminary study from 56 COVID-19 patients, Xiao AT, Tong YX, Zhang S, Clin Infect Dis (2020)
  12. SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients, Zou L, Ruan F, Huang M, et al., The New England journal of medicine (2020) 382 (12):1177-1179.
  13. Temporal dynamics in viral shedding and transmissibility of COVID-19, Xi He, et al., Nat ure Medicine (2020)
  14. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study, To KK-W, Tsang OT-Y, Leung W-S, et al., The Lancet Infectious Diseases (2020)
  15. The role of close contacts tracking management in COVID-19 prevention: A cluster investigation in Jiaxing, China., Ge R, et al, J Infect (2020)
  16. Viral dynamics in mild and severe cases of COVID-19, Liu Y, Yan LM, Wan L, et al., The Lancet Infectious diseases (2020)
  17. Viral load of SARS-CoV-2 in clinical samples, Pan Y, Zhang D, Yang P, Poon LLM, Wang Q., Lancet Infect Dis. 2020;20(4):411–412.
  18. Virological assessment of hospitalized patients with COVID-2019, Wölfel R, Corman VM, Guggemos W, et al., Nature (2020)
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