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The broad spectrum of COVID-like patients initially negative at RT-PCR testing: a cohort study.
Caramello, Valeria; Macciotta, Alessandra; Bar, Fabrizio; Mussa, Alessandro; De Leo, Anna Maria; De Salve, Alessandro Vincenzo; Nota, Fabio; Sacerdote, Carlotta; Ricceri, Fulvio; Boccuzzi, Adriana.
  • Caramello V; Emergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.
  • Macciotta A; Department of Clinical and Biological Science, University of Turin, Regione Gonzole 10, Orbassano (TO), Italy.
  • Bar F; Emergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.
  • Mussa A; Emergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.
  • De Leo AM; Emergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.
  • De Salve AV; Emergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.
  • Nota F; Emergency Department and High Dependency Unit, San Luigi Gonzaga University Hospital, Orbassano (TO), Italy.
  • Sacerdote C; Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy.
  • Ricceri F; Department of Clinical and Biological Science, University of Turin, Regione Gonzole 10, Orbassano (TO), Italy. fulvio.ricceri@unito.it.
  • Boccuzzi A; Epidemiology Unit, Regional Health Service ASL TO3, Grugliasco (TO), Italy. fulvio.ricceri@unito.it.
BMC Public Health ; 22(1): 45, 2022 01 07.
Article in English | MEDLINE | ID: covidwho-1613232
ABSTRACT

BACKGROUND:

Patients that arrive in the emergency department (ED) with COVID-19-like syndromes testing negative at the first RT-PCR represent a clinical challenge because of the lack of evidence about their management available in the literature. Our first aim was to quantify the proportion of patients testing negative at the first RT-PCR performed in our Emergency Department (ED) that were confirmed as having COVID-19 at the end of hospitalization by clinical judgment or by any subsequent microbiological testing. Secondly, we wanted to identify which variables that were available in the first assessment (ED variables) would have been useful in predicting patients, who at the end of the hospital stay were confirmed as having COVID-19 (false-negative at the first RT-PCR).

METHODS:

We retrospectively collected data of 115 negative patients from2020, March 1st to 2020, May 15th. Three experts revised patients' charts collecting information on the whole hospital stay and defining patients as COVID-19 or NOT-COVID-19. We compared ED variables in the two groups by univariate analysis and logistic regression.

RESULTS:

We classified 66 patients as COVID-19 and identified the other 49 as having a differential diagnosis (NOT-COVID), with a concordance between the three experts of 0.77 (95% confidence interval (95%CI) 0.66- 0.73). Only 15% of patients tested positive to a subsequent RT-PCR test, accounting for 25% of the clinically suspected. Having fever (odds ratio (OR) 3.32, (95%CI 0.97-12.31), p = 0.06), showing a typical pattern at the first lung ultrasound (OR 6.09, (95%CI 0.87-54.65), p = 0.08) or computed tomography scan (OR 4.18, (95%CI 1.11-17.86), p = 0.04) were associated with a higher probability of having COVID-19.

CONCLUSIONS:

In patients admitted to ED with COVID-19 symptoms and negative RT-PCR a comprehensive clinical evaluation integrated with lung ultrasound and computed tomography could help to detect COVID-19 patients with a false negative RT-PCR result.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-021-12409-w

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-021-12409-w