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  1. Article ; Online: Calprotectin as a biomarker in rheumatoid arthritis: the potential predictive value of response to treatment.

    Caproli, Alessia / Pina, Silvia Della / Vezzoli, Marika / Cavazzana, Ilaria / Airò, Paolo / Brugnoni, Duilio / Franceschini, Franco / Garrafa, Emirena / Piantoni, Silvia

    Bioanalysis

    2023  Volume 15, Issue 18, Page(s) 1111–1113

    MeSH term(s) Humans ; Leukocyte L1 Antigen Complex/therapeutic use ; Arthritis, Rheumatoid/diagnosis ; Arthritis, Rheumatoid/drug therapy ; Biomarkers ; Antirheumatic Agents/therapeutic use ; Treatment Outcome
    Chemical Substances Leukocyte L1 Antigen Complex ; Biomarkers ; Antirheumatic Agents
    Language English
    Publishing date 2023-08-16
    Publishing country England
    Document type Editorial
    ISSN 1757-6199
    ISSN (online) 1757-6199
    DOI 10.4155/bio-2023-0130
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Re "Calcification of Thoracic and Abdominal Aneurysms is Associated with Mortality and Morbidity". Abdominal Aortic Aneurysm Calcification: Are Biochemical Markers a Missing Piece of the Puzzle?

    Garrafa, Emirena / Bonardelli, Stefano

    European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery

    2018  Volume 55, Issue 6, Page(s) 900

    MeSH term(s) Aortic Aneurysm, Abdominal ; Aortic Aneurysm, Thoracic ; Biomarkers ; Calcinosis ; Humans
    Chemical Substances Biomarkers
    Language English
    Publishing date 2018-04-07
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 1225869-6
    ISSN 1532-2165 ; 1078-5884
    ISSN (online) 1532-2165
    ISSN 1078-5884
    DOI 10.1016/j.ejvs.2018.02.037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Less is more: an ecological and economic point of view on appropriate use of lab testing for COVID-19 patients.

    Signorini, Simona Giulia / Brugnoni, Duilio / Levaggi, Rosella / Garrafa, Emirena

    Bioanalysis

    2021  Volume 13, Issue 24, Page(s) 1781–1783

    MeSH term(s) Biomarkers/blood ; COVID-19/diagnosis ; COVID-19/therapy ; COVID-19/virology ; COVID-19 Testing/economics ; COVID-19 Testing/instrumentation ; COVID-19 Testing/methods ; Cost-Benefit Analysis ; Hazardous Waste/economics ; Hazardous Waste/prevention & control ; Humans ; Point-of-Care Testing/economics ; Point-of-Care Testing/organization & administration ; Practice Guidelines as Topic ; SARS-CoV-2/genetics ; SARS-CoV-2/immunology ; SARS-CoV-2/pathogenicity
    Chemical Substances Biomarkers ; Hazardous Waste
    Language English
    Publishing date 2021-08-06
    Publishing country England
    Document type Editorial
    ISSN 1757-6199
    ISSN (online) 1757-6199
    DOI 10.4155/bio-2021-0064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: When fear backfires: Emergency department accesses during the Covid-19 pandemic.

    Garrafa, Emirena / Levaggi, Rosella / Miniaci, Raffaele / Paolillo, Ciro

    Health policy (Amsterdam, Netherlands)

    2020  Volume 124, Issue 12, Page(s) 1333–1339

    Abstract: Introduction: The increase in access to Emergency Departments (ED) worldwide causes inefficiencies, but also signals its importance. The Coronavirus (Covid-19) outbreak allows to study the reactions of patients to the news about the spreading of the ... ...

    Abstract Introduction: The increase in access to Emergency Departments (ED) worldwide causes inefficiencies, but also signals its importance. The Coronavirus (Covid-19) outbreak allows to study the reactions of patients to the news about the spreading of the infection, which may have generated the fear that ED was no longer safe.
    Methods: We study access to ED of a large teaching hospital in Brescia - one of the most hit provinces in Italy by Covid-19 - during the pandemic (from the announcement of the first cases to the explosion of the pandemic, to months after end of the acute phase) to study how patients reacted to the news that ED could no longer be a safe place. We analyse triage code, mode of arrival to ED, and accesses related to chest and abdominal pain, to evaluate who was discouraged most.
    Results: Accesses have drastically reduced immediately after the news of the first contagion. During the lockdown accesses and admissions to hospital ward have decreased; this may mean that some patients may have suffered reduced health or increased mortality risks because of this decision. At the end of June accesses to ED and admissions to hospital ward are still lower than usual.
    Discussion: Fear of contagion and appeals not to use ED directly by Covid-19 patients may have discouraged access also for pressing health need.
    MeSH term(s) Abdominal Pain/epidemiology ; COVID-19/psychology ; Chest Pain/epidemiology ; Emergency Service, Hospital/statistics & numerical data ; Fear ; Female ; Hospitalization/statistics & numerical data ; Humans ; Italy/epidemiology ; Male ; Pandemics ; Triage/organization & administration
    Keywords covid19
    Language English
    Publishing date 2020-10-24
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 605805-x
    ISSN 1872-6054 ; 0168-8510
    ISSN (online) 1872-6054
    ISSN 0168-8510
    DOI 10.1016/j.healthpol.2020.10.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Mitochondrial Dysfunction in Peripheral Blood Mononuclear Cells as Novel Diagnostic Tools for Non-Alcoholic Fatty Liver Disease: Visualizing Relationships with Known and Potential Disease Biomarkers.

    Garrafa, Emirena / Segala, Agnese / Vezzoli, Marika / Bottani, Emanuela / Zanini, Barbara / Vetturi, Alice / Bracale, Renata / Ricci, Chiara / Valerio, Alessandra

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 14

    Abstract: Non-alcoholic fatty liver disease (NAFLD) is a health emergency worldwide due to its high prevalence and the lack of specific therapies. Noninvasive biomarkers supporting NAFLD diagnosis are urgently needed. Liver mitochondrial dysfunction is a central ... ...

    Abstract Non-alcoholic fatty liver disease (NAFLD) is a health emergency worldwide due to its high prevalence and the lack of specific therapies. Noninvasive biomarkers supporting NAFLD diagnosis are urgently needed. Liver mitochondrial dysfunction is a central NAFLD pathomechanism that changes throughout disease progression. Blood-cell bioenergetics reflecting mitochondrial organ dysfunction is emerging for its potential applications in diagnostics. We measured real-time mitochondrial respirometry in peripheral blood mononuclear cells (PBMCs), anthropometric parameters, routine blood analytes, and circulating cytokines from a cohort of NAFLD patients (N = 19) and non-NAFLD control subjects (N = 18). PBMC basal respiration, ATP-linked respiration, maximal respiration, and spare respiratory capacity were significantly reduced in NAFLD compared to non-NAFLD cases. Correlation plots were applied to visualize relationships between known or potential NAFLD-related biomarkers, while non-parametric methods were applied to identify which biomarkers are NAFLD predictors. Basal and ATP-linked mitochondrial respiration were negatively correlated with triglycerides and fasting insulin levels and HOMA index. Maximal and spare respiratory capacity were negatively correlated with IL-6 levels. All the mitochondrial respiratory parameters were positively correlated with HDL-cholesterol level and negatively correlated with fatty liver index. We propose including blood cell respirometry in panels of NAFLD diagnostic biomarkers to monitor disease progression and the response to current and novel therapies, including mitochondrial-targeted ones.
    Language English
    Publishing date 2023-07-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13142363
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Reply to: Anti-carbamylated protein antibodies are associated with early abatacept response in rheumatoid arthritis by Castellanos-Moreira et al.

    Piantoni, Silvia / Bazzani, Chiara / Garrafa, Emirena / Fredi, Micaela / Cavazzana, Ilaria / Franceschini, Franco

    Clinical and experimental rheumatology

    2021  Volume 39, Issue 5, Page(s) 1144

    MeSH term(s) Abatacept/therapeutic use ; Arthritis, Rheumatoid/diagnosis ; Arthritis, Rheumatoid/drug therapy ; Humans ; Rheumatoid Factor
    Chemical Substances Abatacept (7D0YB67S97) ; Rheumatoid Factor (9009-79-4)
    Language English
    Publishing date 2021-03-05
    Publishing country Italy
    Document type Letter ; Comment
    ZDB-ID 605886-3
    ISSN 1593-098X ; 0392-856X
    ISSN (online) 1593-098X
    ISSN 0392-856X
    DOI 10.55563/clinexprheumatol/bxyfgc
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: When fear backfires

    Garrafa, Emirena / Levaggi, Rosella / Miniaci, Raffaele / Paolillo, Ciro

    Health Policy ; ISSN 0168-8510

    Emergency department accesses during the Covid-19 pandemic

    2020  

    Keywords Health Policy ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.1016/j.healthpol.2020.10.006
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

    Garrafa, Emirena / Vezzoli, Marika / Ravanelli, Marco / Farina, Davide / Borghesi, Andrea / Calza, Stefano / Maroldi, Roberto

    eLife

    2021  Volume 10

    Abstract: An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and December ... ...

    Abstract An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and December 2020, including 2106 patients (first wave) and 676 patients (second wave) in the COVID-19 outbreak in Italy. The first-wave patients were divided into two groups with 1474 patients used to train the model, and 632 to validate it. The 676 patients in the second wave were used to test the model. Age, 17 blood analytes, and Brescia chest X-ray score were the variables processed using a random forests classification algorithm to build and validate the model. Receiver operating characteristic (ROC) analysis was used to assess the model performances. A web-based death-risk calculator was implemented and integrated within the Laboratory Information System of the hospital. The final score was constructed by age (the most powerful predictor), blood analytes (the strongest predictors were lactate dehydrogenase, D-dimer, neutrophil/lymphocyte ratio, C-reactive protein, lymphocyte %, ferritin std, and monocyte %), and Brescia chest X-ray score (https://bdbiomed.shinyapps.io/covid19score/). The areas under the ROC curve obtained for the three groups (training, validating, and testing) were 0.98, 0.83, and 0.78, respectively. The model predicts in-hospital mortality on the basis of data that can be obtained in a short time, directly at the ED on admission. It functions as a web-based calculator, providing a risk score which is easy to interpret. It can be used in the triage process to support the decision on patient allocation.
    MeSH term(s) Aged ; Aged, 80 and over ; Algorithms ; COVID-19/diagnostic imaging ; COVID-19/mortality ; Emergency Service, Hospital ; Female ; Hospital Mortality ; Hospitals ; Humans ; Italy/epidemiology ; Machine Learning ; Male ; Middle Aged ; ROC Curve ; Risk Factors ; SARS-CoV-2/isolation & purification ; X-Rays
    Language English
    Publishing date 2021-10-18
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2687154-3
    ISSN 2050-084X ; 2050-084X
    ISSN (online) 2050-084X
    ISSN 2050-084X
    DOI 10.7554/eLife.70640
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Early prediction of in-hospital death of COVID-19 patients

    Emirena Garrafa / Marika Vezzoli / Marco Ravanelli / Davide Farina / Andrea Borghesi / Stefano Calza / Roberto Maroldi

    eLife, Vol

    a machine-learning model based on age, blood analyses, and chest x-ray score

    2021  Volume 10

    Abstract: An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and December ... ...

    Abstract An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and December 2020, including 2106 patients (first wave) and 676 patients (second wave) in the COVID-19 outbreak in Italy. The first-wave patients were divided into two groups with 1474 patients used to train the model, and 632 to validate it. The 676 patients in the second wave were used to test the model. Age, 17 blood analytes, and Brescia chest X-ray score were the variables processed using a random forests classification algorithm to build and validate the model. Receiver operating characteristic (ROC) analysis was used to assess the model performances. A web-based death-risk calculator was implemented and integrated within the Laboratory Information System of the hospital. The final score was constructed by age (the most powerful predictor), blood analytes (the strongest predictors were lactate dehydrogenase, D-dimer, neutrophil/lymphocyte ratio, C-reactive protein, lymphocyte %, ferritin std, and monocyte %), and Brescia chest X-ray score (https://bdbiomed.shinyapps.io/covid19score/). The areas under the ROC curve obtained for the three groups (training, validating, and testing) were 0.98, 0.83, and 0.78, respectively. The model predicts in-hospital mortality on the basis of data that can be obtained in a short time, directly at the ED on admission. It functions as a web-based calculator, providing a risk score which is easy to interpret. It can be used in the triage process to support the decision on patient allocation.
    Keywords biomarker ; COVID-19 ; random forests ; VIM ; SMOTE ; PDP ; Medicine ; R ; Science ; Q ; Biology (General) ; QH301-705.5
    Subject code 310
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher eLife Sciences Publications Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Systemic Sclerosis-Specific Antibodies: Novel and Classical Biomarkers.

    Cavazzana, Ilaria / Vojinovic, Tamara / Airo', Paolo / Fredi, Micaela / Ceribelli, Angela / Pedretti, Eleonora / Lazzaroni, Maria Grazia / Garrafa, Emirena / Franceschini, Franco

    Clinical reviews in allergy & immunology

    2022  Volume 64, Issue 3, Page(s) 412–430

    Abstract: Disease-specific autoantibodies are considered the most important biomarkers for systemic sclerosis (SSc), due to their ability to stratify patients with different severity and prognosis. Anti-nuclear antibodies (ANA), occurring in subjects with isolated ...

    Abstract Disease-specific autoantibodies are considered the most important biomarkers for systemic sclerosis (SSc), due to their ability to stratify patients with different severity and prognosis. Anti-nuclear antibodies (ANA), occurring in subjects with isolated Raynuad's phenomenon, are considered the strongest independent predictors of definite SSc and digital microvascular damage, as observed by nailfold videocapillaroscopy. ANA are present in more than 90% of SSc, but ANA negativity does not exclude SSc diagnosis: a little rate of SSc ANA negative exists and shows a distinct subtype of disease, with less vasculopathy, but more frequent lower gastrointestinal involvement and severe disease course. Anti-centromere, anti-Th/To, and anti-Topoisomerase I antibodies could be considered as classical biomarkers, covering about 60% of SSc and defining patients with well-described cardio-pulmonary complications. In particular, anti-Topoisomerase I represent a risk factor for development of diffuse cutaneous involvement and digital ulcers in the first 3 years of disease, as well as severe interstitial lung disease (ILD). Anti-RNA polymerase III is a biomarker with new clinical implications: very rapid skin thickness progression, gastric antral vascular ectasia, the occurrence of synchronous cancers, and possible association with silicone breast implants rupture. Moreover, novel SSc specific autoantibodies have been globally described in about 10% of "seronegative" SSc patients: anti-elF2B, anti-RuvBL1/2 complex, anti-U11/U12 RNP, and anti-BICD2 depict specific SSc subtypes with severe organ complications. Many autoantibodies could be considered markers of overlap syndromes, including SSc. Anti-Ku are found in 2-7% of SSc, strictly defining the PM/SSc overlap. They are associated with synovitis, joint contractures, myositis, and negatively associated with vascular manifestation of disease. Anti-U3RNP are associated with a well-defined clinical phenotype: Afro-Caribbean male patients, younger at diagnosis, and higher risk of pulmonary hypertension and gastrointestinal involvement. Anti-PM/Scl define SSc patients with high frequency of ILD, calcinosis, dermatomyositis skin changes, and severe myositis. The accurate detection of autoantibodies SSc specific and associated with overlap syndromes is crucial for patients' stratification. ANA should be correctly identified using indirect immunofluorescent assay and a standardized way of patterns' interpretation. The gold-standard technique for autoantibodies' identification in SSc is still considered immunoprecipitation, for its high sensitivity and specificity, but other assays have been widely used in routine practice. The identification of SSc autoantibodies with high diagnostic specificity and high predictive value is mandatory for early diagnosis, a specific follow-up and the possible definition of the best therapy for every SSc subsets. In addition, the validation of novel autoantibodies is mandatory in wider cohorts in order to restrict the gap of so-called seronegative SSc patients.
    MeSH term(s) Male ; Humans ; Scleroderma, Systemic/diagnosis ; Autoantibodies ; Antibodies, Antinuclear ; Autoimmune Diseases/complications ; Biomarkers ; Lung Diseases, Interstitial/complications ; Myositis/complications
    Chemical Substances Autoantibodies ; Antibodies, Antinuclear ; Biomarkers
    Language English
    Publishing date 2022-06-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1239045-8
    ISSN 1559-0267 ; 1080-0549
    ISSN (online) 1559-0267
    ISSN 1080-0549
    DOI 10.1007/s12016-022-08946-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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