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1.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-314403

ABSTRACT

Objectives: This study aimed to explore useful clinical indexes for management of severe/critically ill patients with COVID-19, Influenza A H7N9 and H1N1 pneumonia by comparing hematological and radiological characteristics between them. Methods Severe/critically ill patients with confirmed diagnosis of COVID-19, Influenza A H7N9 and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics of three groups were compared. The influenza A was divided into two groups with/without patient death. Results In this study, 16 cases of COVID-19, 10 cases of influenza A (H7N9), and 13 cases of influenza A (H1N1) who met severe/critically ill criteria were included. Compared with COVID-19, the Influenza A (H7N9 and H1N1) groups had relatively more chronic diseases (80% and 92.3% vs 25%, P༜0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs 5.50 ± 2.58, P༜0.05) and higher mortality rates (40% and 46.2% vs 0%, P༜0.05). The hematological finding indicated that Influenza A H7N9 and H1N1 patients had more significant lymphocytopenia (0.59 ± 0.31 × 109/L and 0.56 ± 0.35 × 109/L vs 0.97 ± 0.33 × 109/L, P < 0.05), elevated neutrophil to lymphocyte ratio (NLR;14.67 ± 6.10 and 14.64 ± 10.36 vs 6.29 ± 3.72, P < 0.05) compared to COVID-19. Especially in influenza A patients, NLR was significant different between the patients with or without death. Compared with the H7N9 group, ground glass opacity (GGO) on chest CT was more common in the COVID-19 group (P = 0.028), while pleural effusion was relatively rare (P = 0.001). Conclusion Compared to COVID-19, patients with Influenza A (H7N9 and H1N1) had more underlying chronic diseases and higher mortality rates. The NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID-19 and Influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.

2.
J Clin Lab Anal ; 35(12): e24100, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1508785

ABSTRACT

OBJECTIVES: This study aimed to explore clinical indexes for management of severe/critically ill patients with COVID-19, influenza A H7N9, and H1N1 pneumonia by comparing hematological and radiological characteristics. METHODS: Severe/critically ill patients with COVID-19, H7N9, and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics were compared. RESULTS: In this study, 16 cases of COVID-19, 10 cases of H7N9, and 13 cases of H1N1 who met severe/critically ill criteria were included. Compared with COVID-19, H7N9 and H1N1 groups had more chronic diseases (80% and 92.3% vs. 25%, p < 0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs. 5.50 ± 2.58, p < 0.05), higher mortality rates (40% and 46.2% vs. 0%, p < 0.05), significant lymphocytopenia (0.59 ± 0.31 × 109 /L and 0.56 ± 0.35 × 109 /L vs. 0.97 ± 0.33 × 109 /L, p < 0.05), and elevated neutrophil-to-lymphocyte ratio (NLR; 14.67 ± 6.10 and 14.64 ± 10.36 vs. 6.29 ± 3.72, p < 0.05). Compared with the H7N9 group, ground-glass opacity (GGO) on chest CT was common in the COVID-19 group (p = 0.028), while pleural effusion was rare (p = 0.001). CONCLUSIONS: The NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID-19 and influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.


Subject(s)
COVID-19/blood , COVID-19/diagnostic imaging , Influenza, Human/blood , Influenza, Human/diagnostic imaging , Aged , Aged, 80 and over , Blood Cell Count , COVID-19/etiology , Chronic Disease , Critical Illness , Female , Humans , Influenza A Virus, H1N1 Subtype , Influenza A Virus, H7N9 Subtype , Influenza, Human/etiology , Influenza, Human/virology , Male , Middle Aged , Pneumonia, Viral/blood , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/mortality , Pneumonia, Viral/virology , Retrospective Studies , Sex Factors
4.
Thromb Res ; 192: 3-8, 2020 08.
Article in English | MEDLINE | ID: covidwho-259326

ABSTRACT

OBJECTIVE: To investigate the clinical features of COVID-19 cases in Suzhou China. Biomarkers were screened out of hematological parameters for risk stratification. METHOD: Confirmed COVID-19 adult patients in Suzhou were included. The patient data was collected, and the results of laboratory examinations were compared between the mild/moderate and severe COVID-19 groups. A ROC was calculated to compare the diagnostic performance of candidate indexes, and dynamic levels of hematological indexes were compared between the two groups. RESULT: 75 patients were enrolled, with a mean age of 46.6 ±â€¯14 years, and 45 patients were male. All patients were classified into two groups: the mild/moderate group and the severe group. WBC, neutrophil to lymphocyte ratio (NLR), D-dimer, and fibrinogen levels of the severe group were significantly higher (P < 0.05) than the mild/moderate, and the lymphocyte was lower. The ROC test showed that the hematological parameters had a larger AUC than that of inflammatory factors. There was a significant difference in lymphocyte and fibrinogen levels between the two groups on day 1 (P < 0.05). However, NLR of the severe group was higher than the mild/moderate on days 1, 4 and 14 (P < 0.01), and so was D-dimer on days 1, 7 and 14 (P < 0.05). CONCLUSION: The common COVID-19 abnormal hematological indexes on admission included hyperfibrinogenemia, lymphopenia, the elevation of D-dimer, and leukopenia, which were significantly different between the mild/moderate and severe COVID-19 groups. Furthermore, the dynamic change of NLR and D-dimer level can distinguish severe COVID-19 cases from the mild/moderate.


Subject(s)
Betacoronavirus/pathogenicity , Clinical Laboratory Techniques , Coronavirus Infections/diagnosis , Fibrin Fibrinogen Degradation Products/analysis , Lymphocytes , Neutrophils , Pneumonia, Viral/diagnosis , Adult , Aged , Biomarkers/blood , COVID-19 , COVID-19 Testing , China , Coronavirus Infections/blood , Coronavirus Infections/therapy , Coronavirus Infections/virology , Female , Host-Pathogen Interactions , Humans , Lymphocyte Count , Male , Middle Aged , Pandemics , Pneumonia, Viral/blood , Pneumonia, Viral/therapy , Pneumonia, Viral/virology , Predictive Value of Tests , Prognosis , Reproducibility of Results , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Young Adult
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