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The use of chest ultrasonography in suspected cases of COVID-19 in the emergency department.
Allegorico, Enrico; Buonerba, Carlo; Bosso, Giorgio; Pagano, Antonio; Porta, Giovanni; Serra, Claudia; Dolce, Pasquale; Minerva, Valentina; Vicario, Ferdinando Dello; Altruda, Concetta; Arbo, Paola; Russo, Teresa; Sio, Chiara De; Franco, Nicoletta; Ruffa, Gianluca; Mormile, Cinzia; Cannavacciuolo, Francesca; Mercurio, Valentina; Gervasio, Gelsomina; Costanzo, Giuseppe Di; Ragozzino, Alfonso; Scafuri, Luca; Facchini, Gaetano; Numis, Fabio.
  • Allegorico E; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Buonerba C; Department of Oncology & Hematology, Regional Reference Center for Rare Tumors, AOU Federico II of Naples, 80131 Naples, Italy.
  • Bosso G; Centro di Referenza Nazionale per l'Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055, Portici (Na), Italy.
  • Pagano A; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Porta G; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Serra C; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Dolce P; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Minerva V; Department of Public Health, Federico II University, 80131 Naples, Italy.
  • Vicario FD; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Altruda C; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Arbo P; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Russo T; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Sio C; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Franco N; Department of Medical & Surgical Sciences, Università della Campania "Luigi Vanvitelli", 80131 Naples, Italy.
  • Ruffa G; Internal Medicine, AOU Federico II of Naples, 80131 Naples, Italy.
  • Mormile C; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Cannavacciuolo F; Department of Emergency Medicine "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Mercurio V; A.O.R.N."San Giuseppe Moscati", Internal Medicine Department, 83100 Avellino, Italy.
  • Gervasio G; Department of Public Health, Federico II University, 80131 Naples, Italy.
  • Costanzo GD; Department of Diagnostic Imaging "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Ragozzino A; Department of Diagnostic Imaging "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Scafuri L; Department of Diagnostic Imaging "Santa Maria delle Grazie" Hospital, 80078 Pozzuoli, Italy.
  • Facchini G; Department of Clinical Medicine & Surgery, University Federico II of Naples, Via Pansini 5, 80131 Naples, Italy.
  • Numis F; Department of Hospital Medicine, Unit of Medical Oncology, ASL Napoli 2 Nord, "S.M. delle Grazie" Hospital, Pozzuoli (NA), Italy.
Future Sci OA ; 7(1): FSO635, 2020 Nov 30.
Article in English | MEDLINE | ID: covidwho-992952
ABSTRACT

AIM:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2virus-specific reverse transcriptase-polymerase chain reaction (RT-PCR) represents the diagnostic gold standard. We explored the value of chest ultrasonography to predict positivity to SARS-CoV-2 on RT-PCR in suspected COVID-19 cases. PATIENTS &

METHODS:

Consecutive patients with suspect COVID-19 were included if they had fever and/or history of cough and/or dyspnea. Lung ultrasound score (LUSS) was computed according to published methods.

RESULTS:

A total of 76 patients were included. A 3-variable model based on aspartate transaminase (AST) > upper limit of normal, LUSS >12 and body temperature >37.5°C yielded an overall accuracy of 91%.

CONCLUSION:

A simple LUSS-based model may represent a powerful tool for initial assessment in suspected cases of COVID-19.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Future Sci OA Year: 2020 Document Type: Article Affiliation country: Fsoa-2020-0127

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Future Sci OA Year: 2020 Document Type: Article Affiliation country: Fsoa-2020-0127