Analysis of factors for disease progression in 61 patients with COVID-19 in Xiaogan, Hubei, China
- PMID: 33336768
- DOI: 10.26355/eurrev_202012_24045
Analysis of factors for disease progression in 61 patients with COVID-19 in Xiaogan, Hubei, China
Abstract
Objective: The aim of this study was to retrospectively analyze clinical characteristics and laboratory results of the novel coronavirus pneumonia (COVID-19) patients so as to identify factors related to disease progression.
Patients and methods: Sixty-one patients with COVID-19 were divided into two groups: an improvement/stabilization group (n = 53) and a progression group (n = 8). Clinical data were collected to analyze and compare the differences between the two groups.
Results: Of the sixty-one patients, thirty-one were male (50.8%), and thirty were female (49.2%), with a median age of 53 years. On admission, significant differences were observed between the two groups with respect to the levels of Creatine Kinase (CK), lymphocytes, D-dimer and creatinine, and prothrombin time (PT). Univariate logistic regression analysis showed that Platelet-to-lymphocyte ratio (PLR), lymphocytes, Mean platelet volume to lymphocyte ratio (MPVLR), CK, White Blood count to mean platelet volume ratio (WMR), Lymphocyte-to-monocyte ratio (LMR), and serum creatinine were important factors for disease progression. Multivariate logistic regression analysis showed that PLR was an independent factor for disease progression in COVID-19 patients. The receiver operating characteristic (ROC) curve revealed that the best predictor of disease progression was CK. Dynamic changes in the laboratory indicators of patients were tracked, and significant differences were found in the variation trends of white blood cell count, neutrophil count, and WMR, which gradually increased in the progression group, but gradually decreased in the improvement/stabilization group.
Conclusions: Risk factors for disease progression included PLR, lymphocytes, MPVLR, CK, WMR, LMR, and creatinine, among which, PLR is an independent risk factor for disease progression in COVID-19 patients.
Similar articles
-
Identification of risk factors for in-hospital death of COVID - 19 pneumonia -- lessions from the early outbreak.BMC Infect Dis. 2021 Jan 25;21(1):113. doi: 10.1186/s12879-021-05814-4. BMC Infect Dis. 2021. PMID: 33494706 Free PMC article.
-
Retrospective Study of Clinical Features of COVID-19 in Inpatients and Their Association with Disease Severity.Med Sci Monit. 2020 Dec 21;26:e927674. doi: 10.12659/MSM.927674. Med Sci Monit. 2020. PMID: 33342993 Free PMC article.
-
The value of clinical parameters in predicting the severity of COVID-19.J Med Virol. 2020 Oct;92(10):2188-2192. doi: 10.1002/jmv.26031. Epub 2020 Jun 2. J Med Virol. 2020. PMID: 32436996 Free PMC article.
-
Correlations of Clinical and Laboratory Characteristics of COVID-19: A Systematic Review and Meta-Analysis.Int J Environ Res Public Health. 2020 Jul 13;17(14):5026. doi: 10.3390/ijerph17145026. Int J Environ Res Public Health. 2020. PMID: 32668763 Free PMC article.
-
The laboratory findings and different COVID-19 severities: a systematic review and meta-analysis.Ann Clin Microbiol Antimicrob. 2021 Mar 16;20(1):17. doi: 10.1186/s12941-021-00420-3. Ann Clin Microbiol Antimicrob. 2021. PMID: 33726761 Free PMC article.
Cited by
-
Early Prediction of Disease Progression in Patients with Severe COVID-19 Using C-Reactive Protein to Albumin Ratio.Dis Markers. 2021 Dec 3;2021:6304189. doi: 10.1155/2021/6304189. eCollection 2021. Dis Markers. 2021. PMID: 34900028 Free PMC article.
-
C-Reactive Protein-to-Albumin Ratio and Clinical Outcomes in COVID-19 Patients: A Systematic Review and Meta-Analysis.Trop Med Infect Dis. 2022 Aug 16;7(8):186. doi: 10.3390/tropicalmed7080186. Trop Med Infect Dis. 2022. PMID: 36006278 Free PMC article. Review.
-
Clinical Characteristics and Risk Factors Associated with Severe Disease Progression among COVID-19 Patients In Wad Medani Isolation Centers: A Multicenter Retrospective Cross-Sectional Study.Health Sci Rep. 2022 Feb 28;5(2):e523. doi: 10.1002/hsr2.523. eCollection 2022 Mar. Health Sci Rep. 2022. Retraction in: Health Sci Rep. 2023 Aug 24;6(8):e1528. doi: 10.1002/hsr2.1528. PMID: 35284652 Free PMC article. Retracted.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Research Materials