Determining coronavirus disease 2019 (COVID-19) community incidence threshold for preoperative testing.

Zhou, Judy; Wituik, Christopher; Al-Salem, Mohammed; Aljarbou, Alanoud; Dekker, Jonah; Karimi, Saba; Mertz, Dominik

Zhou, Judy; Wituik, Christopher; Al-Salem, Mohammed; Aljarbou, Alanoud; Dekker, Jonah; Karimi, Saba; Mertz, Dominik.

Zhou J; Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Wituik C; St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
Al-Salem M; Hamilton Health Sciences, Hamilton, Ontario, Canada.
Aljarbou A; Hamilton Health Sciences, Hamilton, Ontario, Canada.
Dekker J; Department of Pediatrics, College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Karimi S; Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Mertz D; Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.

Infect Control Hosp Epidemiol ; : 1-3, 2022 Aug 15.

Article in English | MEDLINE | ID: covidwho-2106249

ABSTRACT

ABSTRACT

Preprocedural testing for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) is frequently used to reduce perioperative morbidity and mortality during the pandemic. Such testing is resource intensive, and the relative benefits depend on local epidemiology. We propose a threshold of 20 per 100,000 unlinked cases to activate such testing to optimize the yield and positive predictive value.

Fulltext

XML

PubMed Links

Search on Google

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2022 Document Type: Article Affiliation country: Ice.2022.206

Similar

MEDLINE

LILACS

LIS

Fulltext

XML

PubMed Links

Search on Google