scholarly journals Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China

Critical Care ◽  
2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Zhilin Zeng ◽  
Haijing Yu ◽  
Huilong Chen ◽  
Weipeng Qi ◽  
Liang Chen ◽  
...  
Keyword(s):  
Disease Severity ◽  
Longitudinal Changes ◽  
Inflammatory Parameters

scholarly journals Computed tomography-derived area and density of pectoralis muscle associated disease severity and longitudinal changes in chronic obstructive pulmonary disease: a case control study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
So Hyeon Bak ◽  
Sung Ok Kwon ◽  
Seon-Sook Han ◽  
Woo Jin Kim
Keyword(s):  
Computed Tomography ◽  
Chronic Obstructive Pulmonary Disease ◽  
Lung Function ◽  
Pulmonary Function ◽  
Pulmonary Disease ◽  
Disease Severity ◽  
Chronic Obstructive ◽  
Pectoralis Muscle ◽  
Obstructive Pulmonary Disease ◽  
Longitudinal Changes

Abstract Background Muscle wasting is associated with prognosis in patients with chronic obstructive pulmonary disease (COPD). The cross-sectional area of skeletal muscles on computed tomography (CT) could serve as a method to evaluate body composition. The present study aimed to determine the ability of CT-derived pectoralis muscle area (PMA) and pectoralis muscle density (PMD) to determine the severity of COPD and change in longitudinal pulmonary function in patients with COPD. Methods A total of 293 participants were enrolled in this study, a whom 222 had undergone at least two spirometry measurements within 3 years after baseline data acquisition. PMA and PMD were measured from a single axial slice of chest CT above the aortic arch at baseline. The emphysema index and bronchial wall thickness were quantitatively assessed in all scans. The generalized linear model was used to determine the correlation between PMA and PMD measurements and pulmonary function. Results PMA and PMD were significantly associated with baseline lung function and the severity of emphysema (P < 0.05). Patients with the lowest PMA and PMD exhibited significantly more severe airflow obstruction (β = − 0.06; 95% confidence interval: − 0.09 to − 0.03]. PMA was statistically associated with COPD assessment test (CAT) score (P = 0.033). However, PMD did not exhibit statistically significant correlation with either CAT scores or modified Medical Research Council scores (P > 0.05). Furthermore, neither PMA nor PMD were associated with changes in forced expiratory volume in 1 s over a 3-year periods. Conclusions CT-derived features of the pectoralis muscle may be helpful in predicting disease severity in patients with COPD, but are not necessarily associated with longitudinal changes in lung function.

Impact of Sarcopenia and Malnutrition on disease severity, nutritional variables and inflammatory parameters in COPD patients

2019 ◽  
Author(s):  
Francesca de Blasio ◽  
Davide Dassetto ◽  
Renza Ambrosanio ◽  
Luca Riberi ◽  
Anna Maria Rella ◽  
...  
Keyword(s):  
Disease Severity ◽  
Inflammatory Parameters ◽  
Copd Patients

scholarly journals Association between serum inflammatory parameters and the disease severity in COVID‐19 patients

2021 ◽  
Author(s):  
Rajab Mardani ◽  
Mehrnoush namavar ◽  
Elham ghorbi ◽  
Zabihollah Shoja ◽  
Fatemeh Zali ◽  
...  
Keyword(s):  
Disease Severity ◽  
Inflammatory Parameters

scholarly journals Analysis of inflammatory parameters and disease severity for 88 hospitalized COVID-19 patients in Wuhan, China

2020 ◽  
Vol 17 (13) ◽  
pp. 2052-2062 ◽  
Author(s):  
Xia Xu ◽  
Mu-Qing Yu ◽  
Qian Shen ◽  
Lian-Zhong Wang ◽  
Rong-Di Yan ◽  
...  
Keyword(s):  
Disease Severity ◽  
Inflammatory Parameters

scholarly journals Iron related biomarkers predict disease severity in a cohort of Portuguese adult patients during COVID-19 acute infection

2021 ◽  
Author(s):  
Ana C. Moreira ◽  
Maria Jose Teles ◽  
Tania Silva ◽  
Clara M. Bento ◽  
Ines Simoes Alves ◽  
...  
Keyword(s):  
Disease Severity ◽  
Iron Metabolism ◽  
Serum Iron ◽  
Demographic Data ◽  
Acute Infection ◽  
Northern Region ◽  
Monocyte Chemoattractant Protein 1 ◽  
Inflammatory Parameters ◽  
Clinical Pictures ◽  
Worse Prognosis

BACKGROUND: Growing evidence indicates a link between iron metabolism and COVID-19 clinical progression, supporting the use of iron and inflammatory parameters as relevant biomarkers to predict patients' outcomes. METHODS: We evaluated iron metabolism and immune response in 303 patients admitted to the main hospital of the northern region of Portugal with variable clinical pictures, from September to November 2020. Of these, 127 tested positive for SARS-CoV-2 and 176 tested negative. Iron-related laboratory parameters and cytokines were determined in blood samples collected soon after admission and, in a subgroup of patients, throughout hospitalization. Demographic data, comorbidities and clinical outcomes were recorded. Patients were assigned into 5 groups according to disease severity. RESULTS: Serum iron and transferrin levels at admission were lower in COVID-19-positive than in COVID-19-negative patients. Conversely, the levels of interleukin(IL)-6 and monocyte chemoattractant protein 1 (MCP1) were increased in COVID-19-positive patients. The lowest serum iron and transferrin levels at diagnosis were associated with the worst outcomes. Iron levels negatively correlated with IL-6 and higher levels of this cytokine were associated with a worse prognosis. Serum ferritin levels at diagnosis were higher in COVID-19-positive than in COVID-19-negative patients but did not correlate with disease severity. Longitudinal determinations of iron and ferritin made in a subgroup of patients (n=23) revealed highly variable results. CONCLUSIONS: Serum iron is the simplest laboratory test to be implemented as a predictor of disease progression in hospitalized acute COVID-19-positive patients. Variation of ferritin with time should be revisited in larger cohorts.

A Composite study of Coagulation Milieu in Covid-19: Experience from a Tertiary Care Centre from India

2021 ◽  
Vol 21 ◽  
Author(s):  
Gopal Krishana Bohra ◽  
Abhishek Purohit ◽  
Deepak Kumar ◽  
Mahendra Kumar Garg ◽  
Naresh Kumar Midha ◽  
...  
Keyword(s):  
Factor Viii ◽  
Disease Severity ◽  
Inflammatory Markers ◽  
Severe Disease ◽  
Advanced Age ◽  
P Value ◽  
Coagulation Parameters ◽  
Inflammatory Parameters ◽  
Hs Crp ◽  
D Dimer

Background:: The understanding of pathogenesis is necessary for the development of effective treatment for COVID-19. Various studies have postulated that there is a complex interplay of mediators of coagulation and inflammation responsible for the pathogenesis of COVID-19. We did this study on coagulation parameters and inflammatory markers and their effect on outcome in patients with COVID-19. Methods: This was a single centre observational cross-sectional study. Procoagulants [Prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer, lupus anticoagulant (LA), fibrinogen, factor-VIII (F-VIII)]; anticoagulants [protein-C (PC), protein-S (PS), antithrombin] and inflammatory markers [interleukin-6 (IL-6) and highly sensitive – C-reactive protein (hs-CRP)] were measured at the time of hospitalization and correlated with the severity of the disease. Results: A total of 230 patients were enrolled, of which 61.3%, 20.0%, and 18.7% had asymptomatic/ mild, moderate, or severe disease, respectively. COVID-19 disease severity was associated with rising trends with coagulation parameters (PT, APTT, D-Dimer; p value 0.01, <0.0001, <0.0001, respectively). Falling trends of anticoagulant (PC, Antithrombin; p value <0.0001, 0.003 respectively) and rising trends of procoagulant (fibrinogen, F-VIII; p value 0.004, <0.0001 respectively) were observed with increasing COVID-19 disease severity. Multivariate logistic regression analysis found that advanced age, D-Dimer, and hs-CRP (p value 0.035, 0.018, <0.0001 respectively) were independent predictors of mortality in COVID-19. Procoagulant parameters (D-dimer, APTT, Factor VIII) were positively correlated with anticoagulant parameters (PC and PS) and inflammatory parameters (hs-CRP). Conclusions: This study revealed increased levels of coagulation and inflammatory parameters, which correlated with the severity of COVID-19. Age, D-dimer, IL-6, hs-CRP, APTT, fibrinogen, and Factor VIII were significantly higher in patients with moderate and severe disease as compared to asymptomatic/mild disease. Advanced age, D dimer, and hs-CRP were significantly associated with poor outcomes.

scholarly journals Elevations in Liver Transaminases in COVID-19: (How) Are They Related?

2021 ◽  
Vol 8 ◽  
Author(s):  
Henrique Pott-Junior ◽  
Natália Queiroz Prado Bittencourt ◽  
Silvana F. G. Chacha ◽  
Rafael Luís Luporini ◽  
Marcia Regina Cominetti ◽  
...  
Keyword(s):  
Disease Severity ◽  
Severe Disease ◽  
Serum Levels ◽  
Cross Sectional Study ◽  
Liver Transaminase ◽  
Cross Sectional ◽  
Inflammatory Parameters ◽  
Liver Transaminases ◽  
Altered Liver ◽  
The Relationship

Liver involvement in COVID-19 is not yet well-understood, but elevations in liver transaminases have been described to occur in 14–53% of the cases and are more frequently seen in severe disease. This cross-sectional study explored the relationship between the elevations in liver transaminases and inflammatory parameters in 209 adults with COVID-19. Demographic and clinical data, serum levels of inflammatory cytokines and liver aminotransferases were analyzed. Three groups were formed according to the liver transaminase abnormalities: (I) Normal transaminases, (II) Borderline transaminases elevation, and (III) Mild to severe transaminases elevation. Altered liver transaminases were directly related to disease severity, showing association with the NEWS2 score at admission and greater need for ICU or death. Moreover, higher levels of IL-2 and CRP were associated with borderline transaminases elevations, whereas higher levels of IL-10 and Neutrophil to Lymphocyte ratio were associated with mild to severe transaminases elevation. These results reinforce the importance of liver transaminases in patients with COVID-19 as a complementary marker for disease severity and also point to them as a parameter reflecting the continuous dynamics between viral infection and the immune response.

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