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  1. Article ; Online: Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis.

    Pieri, Massimo / Ciotti, Marco / Nuccetelli, Marzia / Perrone, Marco Alfonso / Caliò, Maria Teresa / Lia, Maria Stella / Minieri, Marilena / Bernardini, Sergio

    International immunopharmacology

    2021  Volume 95, Page(s) 107512

    Abstract: ... of disease progression and poor prognosis. Serum Amyloid A (SAA) is an acute-phase protein mainly produced by the liver ... to critical. Evaluation of biomarkers predicting severity is crucial to identify patients at high risk ... Coronavirus Disease 2019 (COVID-19) can present with different grades of severity from mild ...

    Abstract Coronavirus Disease 2019 (COVID-19) can present with different grades of severity from mild to critical. Evaluation of biomarkers predicting severity is crucial to identify patients at high risk of disease progression and poor prognosis. Serum Amyloid A (SAA) is an acute-phase protein mainly produced by the liver in response to pro-inflammatory cytokines. In this study, we investigated SAA levels at admission (T1) and after 15 days (T2) of hospitalization in two groups of patients: survivors and non-survivors. At T1, the non-survivors showed higher SAA level than survivors (74 mg/dL vs 48.75 mg/dL). At T2, the survivor group value decreased to 6.55 mg/dL, the non-survivor group still showed high levels (51.1 mg/dL). The SAA level in control group was 0.35 mg/dL. Furthermore, a cut-off value of 63 mg/dL able to discriminate survivors from non-survivors was established by ROC curve analysis at T1. At T2, the cut-off decreased to 30.9 mg/dL. A similar decreasing trend was observed for D-Dimer, hsCRP, IL-6 and procalcitonin levels. The results of this retrospective study suggest that SAA is a good marker of COVID-19 disease alone and/or in combination with other inflammatory biomarkers. Identification of reliable prognostic analytes is of great clinical relevance, as it would improve patient management besides being costs saving.
    MeSH term(s) Adult ; Aged ; Biomarkers/blood ; C-Reactive Protein/metabolism ; COVID-19/diagnosis ; Disease Progression ; Fibrin Fibrinogen Degradation Products/metabolism ; Humans ; Interleukin-6/blood ; Middle Aged ; Procalcitonin/blood ; Prognosis ; ROC Curve ; Retrospective Studies ; Serum Amyloid A Protein/analysis ; Serum Amyloid A Protein/metabolism ; Severity of Illness Index ; Survivors
    Chemical Substances Biomarkers ; Fibrin Fibrinogen Degradation Products ; IL6 protein, human ; Interleukin-6 ; Procalcitonin ; Serum Amyloid A Protein ; fibrin fragment D ; C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2021-03-02
    Publishing country Netherlands
    Document type Comparative Study ; Journal Article
    ZDB-ID 2043785-7
    ISSN 1878-1705 ; 1567-5769
    ISSN (online) 1878-1705
    ISSN 1567-5769
    DOI 10.1016/j.intimp.2021.107512
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Role of Serum Amyloid A as a Biomarker for Predicting the Severity and Prognosis of COVID-19.

    Abbas, Amal A / Alghamdi, Asma / Mezghani, Sonia / Ben Ayed, Mourad / Alamori, Ahmed M / Alghamdi, Ghazi A / Bajhmom, Wail / Wajeeh, Hanan / Almutairi, Salma S / Radwan, Wafaa M

    Journal of immunology research

    2022  Volume 2022, Page(s) 6336556

    Abstract: ... of serum amyloid A (SAA) on disease severity and survival outcomes of COVID-19 patients. Dynamic shifts ... Objective: To detect biomarkers that can be used to predict COVID-19 severity to identify patients ... and CRP was valuable in evaluating the disease progression and prognosis of COVID-19 patients ...

    Abstract Objective: To detect biomarkers that can be used to predict COVID-19 severity to identify patients with high probability of disease progression and poor prognosis.
    Methods: Of the 102 patients with confirmed COVID-19 who were admitted to King Fahd General Hospital, Jeddah City, Saudi Arabia, from July 1, 2021 to August 5, 2021, 50 were included in this cross-sectional study to investigate the influence of serum amyloid A (SAA) on disease severity and survival outcomes of COVID-19 patients. Dynamic shifts in SAA, C-reactive protein (CRP), white blood cell (WBC), lymphocytes, neutrophils, biochemical markers, and disease progression were examined. At admission, and at three, five, and seven days after treatment, at least four data samples were collected from all patients, and they underwent clinical status assessments.
    Results: Critically ill patients showed higher SAA and CRP levels and WBC and neutrophil counts and significantly lower lymphocyte and eosinophil counts compared to the moderately/severely ill patients, especially with regard to disease progression. Similarly, nonsurvivors had higher SAA levels than survivors. The moderately/severely ill patients and the survivors had significantly higher dynamic changes in SAA compared to the critically ill patients and nonsurvivors, respectively, with differences clearly noticed on the fifth and seventh day of treatment. ROC curve analysis revealed that the combination of SAA and CRP was valuable in evaluating the disease progression and prognosis of COVID-19 patients at different time points; however, a combination of SAA and lymphocyte counts was more sensitive for disease severity prediction on admission. The most sensitive parameters for predicting survival on admission were the combination of SAA/WBC and SAA/neutrophil count.
    Conclusions: The study findings indicate that SAA can be used as a sensitive indicator to assess the degree of disease severity and survival outcomes of COVID-19 patients.
    MeSH term(s) Humans ; Serum Amyloid A Protein ; COVID-19/diagnosis ; Critical Illness ; Cross-Sectional Studies ; Prognosis ; Biomarkers ; C-Reactive Protein ; Disease Progression
    Chemical Substances Serum Amyloid A Protein ; Biomarkers ; C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2022-11-24
    Publishing country Egypt
    Document type Journal Article
    ZDB-ID 2817541-4
    ISSN 2314-7156 ; 2314-7156
    ISSN (online) 2314-7156
    ISSN 2314-7156
    DOI 10.1155/2022/6336556
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Prognostic value of serum amyloid A in COVID-19: A meta-analysis.

    Li, Yongkai / Xiaojing, He / Zhuanyun, Li / Li, Dandan / Yang, Jianzhong

    Medicine

    2022  Volume 101, Issue 7, Page(s) e28880

    Abstract: ... can be considered as a biomarker for predicting the severity and prognosis of COVID-19. SAA can be used ... to prove the relationship between serum amyloid A (SAA) and the severity and prognosis of patients with new ... for early warning of the poor prognosis of COVID-19 and for monitoring the recovery process, which has important ...

    Abstract Background: There is still a lack of large-scale clinical studies and evidence-based evidence to prove the relationship between serum amyloid A (SAA) and the severity and prognosis of patients with new coronavirus pneumonia (COVID-19).
    Methods: We searched PubMed, Cochrane Library, Excerpta Medica Database, and Web of Science for original articles from December 1, 2019 to December 19, 2020. Search criteria include free text search, explosive MESH/EMTREE terms, and all synonyms for SAA and COVID-19. There are no language restrictions on the searched documents. Statistical methods were performed using Stata 14.0 software, and RevMan 5.4 software provided by the Cochrane Collaboration for meta-analysis. The 10 included studies in the literature were classified according to the severity of the novel coronavirus treatment guidelines, with mild/moderate categorized as nonsevere and severe/critical as severe, and the data were meta-analyzed using multiple subgroup standard deviations combined. Severe and nonsevere were finally divided into 2 groups, and the combined data were meta-analyzed according to the standardized mean difference.
    Results: The results of the meta-analysis given by random effects showed that SAA levels were significantly higher in severe vs nonsevere (standardized mean difference 1.20 [95% confidence interval 0.91-1.48]), which was statistically significant (P < .001). The 3 literatures studied (random effect size 0.11 [95% confidence interval 0.05-0.19]; I2 = 56.68%) and were statistically significant, z = 5.46 P < .01, suggesting that the risk of death occurs at higher levels with increasing SAA values, with the risk of death in the severe group being 11% higher than in the nonsevere group.
    Conclusion: SAA can be considered as a biomarker for predicting the severity and prognosis of COVID-19. SAA can be used for early warning of the poor prognosis of COVID-19 and for monitoring the recovery process, which has important clinical value.
    MeSH term(s) COVID-19 ; Humans ; Prognosis ; Serum Amyloid A Protein
    Chemical Substances Serum Amyloid A Protein
    Language English
    Publishing date 2022-04-28
    Publishing country United States
    Document type Journal Article ; Meta-Analysis
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000028880
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Prognostic value of serum amyloid A in patients with COVID-19.

    Cheng, Li / Yang, Jian-Zhong / Bai, Wen-Hui / Li, Zhuan-Yun / Sun, Li-Fang / Yan, Juan-Juan / Zhou, Chen-Liang / Tang, Bao-Peng

    Infection

    2020  Volume 48, Issue 5, Page(s) 715–722

    Abstract: ... Conclusion: SAA can be used as a predictor of the prognosis in patients with COVID-19. ... Objective: To investigate the prognostic value of serum amyloid A (SAA) in the patients ... to analyze the prognosis of patients with COVID-19 by SAA.: Results: The difference of comparison of SAA ...

    Abstract Objective: To investigate the prognostic value of serum amyloid A (SAA) in the patients with Corona Virus Disease 2019 (COVID-19).
    Methods: The medical data of 89 COVID-19 patients admitted to Renmin Hospital of Wuhan University from January 3, 2020 to February 26, 2020 were collected. Eighty-nine cases were divided into survival group (53 cases) and non-survival group (36 cases) according to the results of 28-day follow-up. The SAA levels of all patients were recorded and compared on 1 day after admission (before treatment) and 3 days, 5 days, and 7 days after treatment. The ROC curve was drawn to analyze the prognosis of patients with COVID-19 by SAA.
    Results: The difference of comparison of SAA between survival group and non-survival group before treatment was not statistically significant, Z
    Conclusion: SAA can be used as a predictor of the prognosis in patients with COVID-19.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Betacoronavirus/pathogenicity ; Biomarkers/blood ; C-Reactive Protein/metabolism ; COVID-19 ; China ; Coronavirus Infections/blood ; Coronavirus Infections/diagnosis ; Coronavirus Infections/mortality ; Coronavirus Infections/physiopathology ; Cough/blood ; Cough/diagnosis ; Cough/mortality ; Cough/physiopathology ; Female ; Fever/blood ; Fever/diagnosis ; Fever/mortality ; Fever/physiopathology ; Hemoglobins/metabolism ; Humans ; Leukocyte Count ; Male ; Middle Aged ; Pandemics ; Pharyngitis/blood ; Pharyngitis/diagnosis ; Pharyngitis/mortality ; Pharyngitis/physiopathology ; Pneumonia, Viral/blood ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/mortality ; Pneumonia, Viral/physiopathology ; Prognosis ; ROC Curve ; Retrospective Studies ; SARS-CoV-2 ; Serum Amyloid A Protein/metabolism ; Severity of Illness Index ; Survival Analysis
    Chemical Substances Biomarkers ; Hemoglobins ; Serum Amyloid A Protein ; C-Reactive Protein (9007-41-4)
    Keywords covid19
    Language English
    Publishing date 2020-07-30
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 185104-4
    ISSN 1439-0973 ; 0300-8126 ; 0173-2129
    ISSN (online) 1439-0973
    ISSN 0300-8126 ; 0173-2129
    DOI 10.1007/s15010-020-01468-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Interferon-γ-induced protein 10 (IP-10) and serum amyloid A (SAA) are excellent biomarkers for the prediction of COVID-19 progression and severity.

    Haroun, Riham Abdel-Hamid / Osman, Waleed H / Eessa, Asmaa M

    Life sciences

    2021  Volume 269, Page(s) 119019

    Abstract: ... mortality of COVID-19-infected patients. The current study aimed to measure the levels of serum IP-10 and ... in discrimination between moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID ... infection and predicting the severity and prognosis of COVID-19 disease. ...

    Abstract Aims: Early diagnosis and appropriate treatment are essential in reducing the morbidity and mortality of COVID-19-infected patients. The current study aimed to measure the levels of serum IP-10 and SAA in positive COVID-19 Egyptian patients to explore their clinical values and significance in discrimination between moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID-19 disease.
    Main methods: A total of 150 COVID-19 patients and 50 controls were enrolled into our study. Beside the routine lab work of positive COVID-19 patients; IP-10 and SAA were measured using ELISA kit.
    Key findings: Our results revealed that the levels of D-dimer (2.64 ± 3.34), ferritin (494.11 ± 260.96), SAA (171.89 ± 51.96), IP-10 (405.0 ± 85.27), WBCs count (14.38 ± 6.06) and neutrophils count (79.26 ± 5.57) were highly significantly increased in severe to critically severe patients when compared with mild to moderate patients; while lymphocytes count (14.21 ± 5.13) was highly significantly decreased when compared to moderate patients. ROC curve analysis results showed that AUC from high to low was IP-10 ˃ SAA ˃ Ferritin ˃ D-dimer ˃ CRP.
    Significance: From these results we can conclude that both IP-10 and SAA could be excellent biomarkers in discrimination between moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID-19 disease.
    MeSH term(s) Adult ; Biomarkers/blood ; COVID-19/blood ; COVID-19/diagnosis ; COVID-19/physiopathology ; COVID-19 Testing ; Chemokine CXCL10/blood ; Disease Progression ; Female ; Ferritins/blood ; Fibrin Fibrinogen Degradation Products/analysis ; Humans ; Male ; Middle Aged ; Prognosis ; Serum Amyloid A Protein/analysis ; Severity of Illness Index
    Chemical Substances Biomarkers ; Chemokine CXCL10 ; Fibrin Fibrinogen Degradation Products ; Serum Amyloid A Protein ; fibrin fragment D ; Ferritins (9007-73-2)
    Language English
    Publishing date 2021-01-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 3378-9
    ISSN 1879-0631 ; 0024-3205
    ISSN (online) 1879-0631
    ISSN 0024-3205
    DOI 10.1016/j.lfs.2021.119019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Interferon-γ-induced protein 10 (IP-10) and serum amyloid A (SAA) are excellent biomarkers for the prediction of COVID-19 progression and severity

    Haroun, Riham Abdel-Hamid / Osman, Waleed H / Eessa, Asmaa M

    Life sciences. 2021 Mar. 15, v. 269

    2021  

    Abstract: ... of COVID-19-infected patients. The current study aimed to measure the levels of serum IP-10 and SAA ... between moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID-19 ... moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID-19 disease. ...

    Abstract Early diagnosis and appropriate treatment are essential in reducing the morbidity and mortality of COVID-19-infected patients. The current study aimed to measure the levels of serum IP-10 and SAA in positive COVID-19 Egyptian patients to explore their clinical values and significance in discrimination between moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID-19 disease.A total of 150 COVID-19 patients and 50 controls were enrolled into our study. Beside the routine lab work of positive COVID-19 patients; IP-10 and SAA were measured using ELISA kit.Our results revealed that the levels of D-dimer (2.64 ± 3.34), ferritin (494.11 ± 260.96), SAA (171.89 ± 51.96), IP-10 (405.0 ± 85.27), WBCs count (14.38 ± 6.06) and neutrophils count (79.26 ± 5.57) were highly significantly increased in severe to critically severe patients when compared with mild to moderate patients; while lymphocytes count (14.21 ± 5.13) was highly significantly decreased when compared to moderate patients. ROC curve analysis results showed that AUC from high to low was IP-10 ˃ SAA ˃ Ferritin ˃ D-dimer ˃ CRP.From these results we can conclude that both IP-10 and SAA could be excellent biomarkers in discrimination between moderate and severe COVID-19 infection and predicting the severity and prognosis of COVID-19 disease.
    Keywords COVID-19 infection ; amyloid ; biomarkers ; blood serum ; early diagnosis ; ferritin ; morbidity ; mortality ; neutrophils ; prediction ; prognosis
    Language English
    Dates of publication 2021-0315
    Publishing place Elsevier Inc.
    Document type Article
    Note NAL-light
    ZDB-ID 3378-9
    ISSN 1879-0631 ; 0024-3205
    ISSN (online) 1879-0631
    ISSN 0024-3205
    DOI 10.1016/j.lfs.2021.119019
    Database NAL-Catalogue (AGRICOLA)

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