Cargando…
Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study
BACKGROUND: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan and has quickly spread across the world. The mortality rate in critically ill patients with COVID-19 is high. This study analyzed...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364396/ https://www.ncbi.nlm.nih.gov/pubmed/32677918 http://dx.doi.org/10.1186/s12879-020-05242-w |
_version_ | 1783559822842527744 |
---|---|
author | Wang, Dan Li, Ruifang Wang, Juan Jiang, Qunqun Gao, Chang Yang, Juan Ge, Lintong Hu, Qing |
author_facet | Wang, Dan Li, Ruifang Wang, Juan Jiang, Qunqun Gao, Chang Yang, Juan Ge, Lintong Hu, Qing |
author_sort | Wang, Dan |
collection | PubMed |
description | BACKGROUND: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan and has quickly spread across the world. The mortality rate in critically ill patients with COVID-19 is high. This study analyzed clinical and biochemical parameters between mild and severe patients, helping to identify severe or critical patients early. METHODS: In this single center, cross-sectional study, 143 patients were included and divided to mild/moderate and sever/critical groups. Correlation between the disease criticality and clinical features and peripheral blood biochemical markers was analyzed. Cut-off values for critically ill patients were speculated through the ROC curve. RESULTS: Significantly, disease severity was associated with age (r = 0.458, P < 0.001), comorbidities (r = 0.445, P < 0.001), white cell count (r = 0.229, P = 0.006), neutrophil count (r = 0.238, P = 0.004), lymphocyte count (r = − 0.295, P < 0.001), albumin (r = − 0.603, P < 0.001), high-density lipoprotein cholesterol (r = − 0.362, P < 0.001), serum potassium (r = − 0.237, P = 0.004), plasma glucose (r = 0.383, P < 0.001), total bilirubin (r = 0.340, P < 0.001), serum amyloid A (r = 0.58, P < 0.001), procalcitonin (r = 0.345, P < 0.001), C-reactive protein (r = 0.477, P < 0.001), lactate dehydrogenase (r = 0.548, P < 0.001), aspartate aminotransferase (r = 0.342, P < 0.001), alanine aminotransferase (r = 0.264, P = 0.001), erythrocyte sedimentation rate (r = 0.284, P = 0.001) and D-dimer (r = 0.477, P < 0.001) . CONCLUSIONS: With the following parameters such as age > 52 years, C-reactive protein > 64.79 mg/L, lactate dehydrogenase > 245 U/L, D-dimer > 0.96 μg/mL, serum amyloid A > 100.02 mg/L, or albumin < 36 g/L, the progress of COVID-19 to critical stage should be closely observed and possibly prevented. Lymphocyte count, serum potassium, high-density lipoprotein cholesterol and procalcitonin may also be a prognostic indicator. |
format | Online Article Text |
id | pubmed-7364396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73643962020-07-16 Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study Wang, Dan Li, Ruifang Wang, Juan Jiang, Qunqun Gao, Chang Yang, Juan Ge, Lintong Hu, Qing BMC Infect Dis Research Article BACKGROUND: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan and has quickly spread across the world. The mortality rate in critically ill patients with COVID-19 is high. This study analyzed clinical and biochemical parameters between mild and severe patients, helping to identify severe or critical patients early. METHODS: In this single center, cross-sectional study, 143 patients were included and divided to mild/moderate and sever/critical groups. Correlation between the disease criticality and clinical features and peripheral blood biochemical markers was analyzed. Cut-off values for critically ill patients were speculated through the ROC curve. RESULTS: Significantly, disease severity was associated with age (r = 0.458, P < 0.001), comorbidities (r = 0.445, P < 0.001), white cell count (r = 0.229, P = 0.006), neutrophil count (r = 0.238, P = 0.004), lymphocyte count (r = − 0.295, P < 0.001), albumin (r = − 0.603, P < 0.001), high-density lipoprotein cholesterol (r = − 0.362, P < 0.001), serum potassium (r = − 0.237, P = 0.004), plasma glucose (r = 0.383, P < 0.001), total bilirubin (r = 0.340, P < 0.001), serum amyloid A (r = 0.58, P < 0.001), procalcitonin (r = 0.345, P < 0.001), C-reactive protein (r = 0.477, P < 0.001), lactate dehydrogenase (r = 0.548, P < 0.001), aspartate aminotransferase (r = 0.342, P < 0.001), alanine aminotransferase (r = 0.264, P = 0.001), erythrocyte sedimentation rate (r = 0.284, P = 0.001) and D-dimer (r = 0.477, P < 0.001) . CONCLUSIONS: With the following parameters such as age > 52 years, C-reactive protein > 64.79 mg/L, lactate dehydrogenase > 245 U/L, D-dimer > 0.96 μg/mL, serum amyloid A > 100.02 mg/L, or albumin < 36 g/L, the progress of COVID-19 to critical stage should be closely observed and possibly prevented. Lymphocyte count, serum potassium, high-density lipoprotein cholesterol and procalcitonin may also be a prognostic indicator. BioMed Central 2020-07-16 /pmc/articles/PMC7364396/ /pubmed/32677918 http://dx.doi.org/10.1186/s12879-020-05242-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wang, Dan Li, Ruifang Wang, Juan Jiang, Qunqun Gao, Chang Yang, Juan Ge, Lintong Hu, Qing Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study |
title | Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study |
title_full | Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study |
title_fullStr | Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study |
title_full_unstemmed | Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study |
title_short | Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study |
title_sort | correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of covid-19 in wuhan, china: a descriptive study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364396/ https://www.ncbi.nlm.nih.gov/pubmed/32677918 http://dx.doi.org/10.1186/s12879-020-05242-w |
work_keys_str_mv | AT wangdan correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT liruifang correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT wangjuan correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT jiangqunqun correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT gaochang correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT yangjuan correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT gelintong correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy AT huqing correlationanalysisbetweendiseaseseverityandclinicalandbiochemicalcharacteristicsof143casesofcovid19inwuhanchinaadescriptivestudy |