Predictors of COVID-19 Infection : A Prevalence Study of Hospitalized Patients
Copyright © 2021 Huilan Tu et al..
AIM: To find the predictors of coronavirus disease 2019 (COVID-19) in hospitalized patients.
METHODS: A prevalence study compared the characteristics of COVID-19 patients with non-COVID-19 patients from January 19, 2020, to February 18, 2020, during the COVID-19 outbreak. Laboratory test results and pulmonary chest imaging of confirmed COVID-19 and non-COVID-19 patients were collected by retrieving medical records in our center.
RESULTS: 96 COVID-19 patients and 122 non-COVID-19 patients were enrolled in this study. COVID-19 patients were older (53 vs. 39; P < 0.001) and had higher body mass index (BMI) than non-COVID-19 group (24.21 ± 3.51 vs. 23.00 ± 3.27, P = 0.011); however, differences in gender were not observed between the two groups. Logistic regression analysis showed that exposure history (OR: 23.34, P < 0.001), rhinorrhea (odds radio (OR): 0.12, P = 0.006), alanine aminotransferase (ALT) (OR: 1.03, P = 0.049), lactate dehydrogenase (LDH) (OR: 1.01, P = 0.020), lymphocyte (OR: 0.27, P = 0.007), and bilateral involvement on chest CT imaging (OR: 23.01, P < 0.001) were independent risk factors for COVID-19. Moreover, bilateral involvement on chest CT imaging (AUC = 0.904, P < 0.001) had significantly higher AUC than others in predicting COVID-19.
CONCLUSIONS: Exposure history, elevated ALT and LDH, absence of rhinorrhea, lymphopenia, and bilateral involvement on chest CT imaging provide robust evidence for the diagnosis of COVID-19, especially in resource-limited conditions where nucleic acid detection is not readily available.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:2021 |
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| Enthalten in: |
The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale - 2021(2021) vom: 07., Seite 6213450 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Tu, Huilan [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 27.04.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1155/2021/6213450 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM332314138 |
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| 500 | |a Date Revised 27.04.2022 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2021 Huilan Tu et al. | ||
| 520 | |a AIM: To find the predictors of coronavirus disease 2019 (COVID-19) in hospitalized patients | ||
| 520 | |a METHODS: A prevalence study compared the characteristics of COVID-19 patients with non-COVID-19 patients from January 19, 2020, to February 18, 2020, during the COVID-19 outbreak. Laboratory test results and pulmonary chest imaging of confirmed COVID-19 and non-COVID-19 patients were collected by retrieving medical records in our center | ||
| 520 | |a RESULTS: 96 COVID-19 patients and 122 non-COVID-19 patients were enrolled in this study. COVID-19 patients were older (53 vs. 39; P < 0.001) and had higher body mass index (BMI) than non-COVID-19 group (24.21 ± 3.51 vs. 23.00 ± 3.27, P = 0.011); however, differences in gender were not observed between the two groups. Logistic regression analysis showed that exposure history (OR: 23.34, P < 0.001), rhinorrhea (odds radio (OR): 0.12, P = 0.006), alanine aminotransferase (ALT) (OR: 1.03, P = 0.049), lactate dehydrogenase (LDH) (OR: 1.01, P = 0.020), lymphocyte (OR: 0.27, P = 0.007), and bilateral involvement on chest CT imaging (OR: 23.01, P < 0.001) were independent risk factors for COVID-19. Moreover, bilateral involvement on chest CT imaging (AUC = 0.904, P < 0.001) had significantly higher AUC than others in predicting COVID-19 | ||
| 520 | |a CONCLUSIONS: Exposure history, elevated ALT and LDH, absence of rhinorrhea, lymphopenia, and bilateral involvement on chest CT imaging provide robust evidence for the diagnosis of COVID-19, especially in resource-limited conditions where nucleic acid detection is not readily available | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Zhao, Hong |e verfasserin |4 aut | |
| 700 | 1 | |a Su, Junwei |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Wenrui |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Kaijin |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Jianhua |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Xuan |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Meifang |e verfasserin |4 aut | |
| 700 | 1 | |a Sheng, Jifang |e verfasserin |4 aut | |
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