Author: Fei, Fei; Smith, John A.; Cao, Liyun
Title: Clinical laboratory characteristics in patients with suspected COVIDâ€19: One singleâ€institution experience Cord-id: 48rcv58j Document date: 2020_10_5
ID: 48rcv58j
Snippet: OBJECTIVES: Since December 2019, the outbreak of coronavirus disease 2019 (COVIDâ€19) has become a worldwide pandemic. The aim of the study is to investigate the demographic, clinical, and laboratory characteristics in suspected COVIDâ€19 patients in our institution. METHODS: In this retrospective study, we investigated suspected COVIDâ€19 patients admitted to the University of Alabama at Birmingham with a request for an interleukinâ€6 sendâ€out test, from March 28 to June 27, 2020. Patient
Document: OBJECTIVES: Since December 2019, the outbreak of coronavirus disease 2019 (COVIDâ€19) has become a worldwide pandemic. The aim of the study is to investigate the demographic, clinical, and laboratory characteristics in suspected COVIDâ€19 patients in our institution. METHODS: In this retrospective study, we investigated suspected COVIDâ€19 patients admitted to the University of Alabama at Birmingham with a request for an interleukinâ€6 sendâ€out test, from March 28 to June 27, 2020. Patients' demographic, clinical, and laboratory characteristics were collected by chart review. RESULTS: Fifty patients suspected with COVIDâ€19 were included in our study, of whom 24 patients were positive with severe acute respiratory syndrome coronavirusâ€2 infection and 26 were negative. During the observation period, 30 patients were discharged, 17 died during hospitalization, and three remained in hospital. Compared to nonâ€COVIDâ€19 patients, COVIDâ€19 patients had older age, more comorbidities, and elevated levels of inflammation markers such as erythrocyte sedimentation rate (ESR), Câ€reactive protein (CRP), serum ferritin, and lactate dehydrogenase (LDH). However, there was no significant difference in laboratory data between survivors and nonsurvivors in COVIDâ€19 patients in our study. CONCLUSION: This study indicated that potential risk factors of older age, multiple comorbidities, and high levels of ESR, CRP, serum ferritin, and LDH could help the clinician to identify potential COVIDâ€19 patients. However, this data needs to be further validated in a larger population.
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