Author: Nazerian, Peiman; Morello, Fulvio; Prota, Alessio; Betti, Laura; Lupia, Enrico; Apruzzese, Luc; Oddi, Matteo; Grosso, Federico; Grifoni, Stefano; Pivetta, Emanuele
Title: Diagnostic accuracy of physician’s gestalt in suspected COVIDâ€19: Prospective bicentric study Cord-id: zglimqrs Document date: 2021_3_15
ID: zglimqrs
Snippet: OBJECTIVES: Physicians’ gestalt is central in the diagnostic pipeline of suspected COVIDâ€19, due to the absence of a single tool allowing conclusive rule in or rule out. The aim of this study was to estimate the diagnostic test characteristics of physician's gestalt for COVIDâ€19 in the emergency department (ED), based on clinical findings or on a combination of clinical findings and bedside imaging results. METHODS: From April 1 to April 30, 2020, patients with suspected COVIDâ€19 were pr
Document: OBJECTIVES: Physicians’ gestalt is central in the diagnostic pipeline of suspected COVIDâ€19, due to the absence of a single tool allowing conclusive rule in or rule out. The aim of this study was to estimate the diagnostic test characteristics of physician's gestalt for COVIDâ€19 in the emergency department (ED), based on clinical findings or on a combination of clinical findings and bedside imaging results. METHODS: From April 1 to April 30, 2020, patients with suspected COVIDâ€19 were prospectively enrolled in two EDs. Physicians prospectively dichotomized patients in COVIDâ€19 likely or unlikely twice: after medical evaluation of clinical features (clinical gestalt [CG]) and after evaluation of clinical features and results of lung ultrasound or chest xâ€ray (clinical and bedside imaging–integrated gestalt [CBIIG]). The final diagnosis was adjudicated after independent review of 30â€day followâ€up data. RESULTS: Among 838 ED enrolled patients, 193 (23%) were finally diagnosed with COVIDâ€19. The area under the curve (AUC), sensitivity, and specificity of CG and CBIIG for COVIDâ€19 were 80.8% and 91.6% (p < 0.01), 82.9% and 91.4% (p = 0.01), and 78.6% and 91.8% (p < 0.01), respectively. CBIIG had similar AUC and sensitivity to reverse transcription–polymerase chain reaction (RTâ€PCR) for SARSâ€CoVâ€2 on the first nasopharyngeal swab per se (93.5%, p = 0.24; and 87%, p = 0.17, respectively). CBIIG plus RTâ€PCR had a sensitivity of 98.4% for COVIDâ€19 (p < 0.01 vs. RTâ€PCR alone) compared to 95.9% for CG plus RTâ€PCR (p = 0.05). CONCLUSIONS: In suspected COVIDâ€19, CG and CBIIG have fair diagnostic accuracy, in line with physicians’ gestalt for other acute conditions. Negative RTâ€PCR plus low probability based on CBIIG can rule out COVIDâ€19 with a relatively low number of falseâ€negative cases.
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