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  1. Article ; Online: Anticoagulation for hypercoagulability in severe critical COVID-19: A case series of fading and fatal cycles of microthrombosis.

    Ronderos Botero, Diana Maria / Omar, Alaa Mabrouk Salem / Nicu, Marin / Sklyar, Eduard / Bella, Jonathan N / Chilimuri, Sridhar

    Journal of cardiology cases

    2021  Volume 24, Issue 5, Page(s) 218–222

    Abstract: The pathophysiology of the COVID-19 involves a systemic hypercoagulable state and systemic micro-thrombosis which can cause fatal consequences. Despite that anticoagulation seems an intuitive therapeutic option, the US National Institute of Health has ... ...

    Abstract The pathophysiology of the COVID-19 involves a systemic hypercoagulable state and systemic micro-thrombosis which can cause fatal consequences. Despite that anticoagulation seems an intuitive therapeutic option, the US National Institute of Health has issued a warning against its use in critically ill patients. We present five cases of imaging-proven or clinically suspected hypercoagulability with hemodynamic compromise despite therapeutic anticoagulation. We describe the patients with thoughts on links between pathophysiology and the laboratory values, clinical course, and imaging studies in each case. All patients presented to the hospital with symptoms and chest imaging suggestive of COVID-19 pneumonia. All patients presented with severe hypoxia requiring mechanical ventilation, and received full anticoagulation for treatment of hypercoagulable state suggested by elevated D-dimer. All but one patient received alteplase for thrombolytic therapy of suspected massive pulmonary embolism (PE). On the basis of this case series, hypercoagulability in COVID-19 is a late manifestation of the disease that persists despite anticoagulation, is cyclic in nature based on D-dimer despite thrombolysis, and is fatal if it rebounds. The use of anticoagulation and thrombolysis in these patients seemed harmful or non-beneficial. Early intervention before D-dimer elevation and hemodynamic compromise may benefit in preventing thromboembolic burden. <
    Language English
    Publishing date 2021-09-20
    Publishing country Japan
    Document type Case Reports
    ISSN 1878-5409
    ISSN (online) 1878-5409
    DOI 10.1016/j.jccase.2021.08.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: A Case of Isolated Left Ventricular Non-Compaction Cardiomyopathy in a HIV Patient Presenting With Acute Heart Failure.

    Ayesha, Bibi / Ahmed, Rafeeq / Gomceli, Umut / Manrique, Carlos / Nicu, Marin / Chilimuri, Sridhar

    Cardiology research

    2019  Volume 10, Issue 4, Page(s) 236–240

    Abstract: The etiology of cardiomyopathy in a HIV patient is multifactorial. Identifying the etiology of cardiomyopathy in a HIV patient needs extensive evaluation. Common causes include ischemic cardiomyopathy, myocarditis due to viral infections and ... ...

    Abstract The etiology of cardiomyopathy in a HIV patient is multifactorial. Identifying the etiology of cardiomyopathy in a HIV patient needs extensive evaluation. Common causes include ischemic cardiomyopathy, myocarditis due to viral infections and opportunistic infections, cocaine abuse, alcoholic heart disease, drug toxicity or due to nutritional deficiencies. However, in a number of cases the etiology is unknown. We report a case of 36-year-old African American man with history of HIV who presented with acute heart failure due to left ventricular non-compaction (LVNC). Transthoracic and transesophageal echocardiogram showed significant left ventricular trabeculations and blood flow in deep recesses. Endomyocardial biopsy was suggestive of LVNC. He underwent left ventricular assist device implantation for destination therapy and subsequently cardiac transplantation. The diagnosis of LVNC is often made by echocardiogram. As LVNC could be a normal variant, a comprehensive diagnostic assessment including multimodality imaging, a systematic screening of first degree relatives, and a comprehensive clinical and genetic assessment by a multidisciplinary team may be needed to arrive at the diagnosis. Early diagnosis and timely intervention may reduce the risk of premature death in these young patients.
    Language English
    Publishing date 2019-07-31
    Publishing country Canada
    Document type Case Reports
    ZDB-ID 2598593-0
    ISSN 1923-2837 ; 1923-2829
    ISSN (online) 1923-2837
    ISSN 1923-2829
    DOI 10.14740/cr889
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: COVID-19 in the Healthy Patient Population: Demographic and Clinical Phenotypic Characterization and Predictors of In-Hospital Outcomes.

    Ronderos Botero, Diana Maria / Omar, Alaa Mabrouk Salem / Sun, Haozhe Keith / Mantri, Nikhitha / Fortuzi, Ked / Choi, Yongsub / Adrish, Muhammad / Nicu, Marin / Bella, Jonathan N / Chilimuri, Sridhar

    Arteriosclerosis, thrombosis, and vascular biology

    2020  Volume 40, Issue 11, Page(s) 2764–2775

    Abstract: Objective: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing ... ...

    Abstract Objective: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing successful treatment strategies. Approach and Results: In a retrospective study design, consecutive patients without baseline comorbidities hospitalized with confirmed COVID-19 were included. Patients were subdivided into ≤55 and >55 years of age. Predictors of in-hospital mortality or mechanical ventilation were analyzed in this patient population, as well as subgroups. Stable parameters in overall and subgroup models were used to construct a cluster model for phenotyping of patients. Of 1207 COVID-19-positive patients, 157 met the study criteria (80≤55 and 77>55 years of age). Most reliable predictors of outcomes overall and in subgroups were age, initial and follow-up d-dimer, and LDH (lactate dehydrogenase) levels. Their predictive cutoff values were used to construct a cluster model that produced 3 main clusters. Cluster 1 was a low-risk cluster and was characterized by younger patients who had low thrombotic and inflammatory features. Cluster 2 was intermediate risk that also consisted of younger population that had moderate level of thrombosis, higher inflammatory cells, and inflammatory markers. Cluster 3 was a high-risk cluster that had the most aggressive thrombotic and inflammatory feature.
    Conclusions: In healthy patient population, COVID-19 remains significantly associated with morbidity and mortality. While age remains the most important predictor of in-hospital outcomes, thromboinflammatory interactions are also associated with worse clinical outcomes regardless of age in healthy patients.
    MeSH term(s) Adult ; Age Factors ; Aged ; Betacoronavirus/pathogenicity ; Biomarkers/blood ; COVID-19 ; Clinical Decision Rules ; Coronavirus Infections/diagnosis ; Coronavirus Infections/mortality ; Coronavirus Infections/therapy ; Coronavirus Infections/virology ; Female ; Fibrin Fibrinogen Degradation Products/metabolism ; Health Status ; Hospital Mortality ; Host-Pathogen Interactions ; Humans ; Inflammation Mediators/blood ; L-Lactate Dehydrogenase/blood ; Male ; Middle Aged ; Pandemics ; Patient Admission ; Phenotype ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/mortality ; Pneumonia, Viral/therapy ; Pneumonia, Viral/virology ; Predictive Value of Tests ; Prognosis ; Respiration, Artificial ; Retrospective Studies ; Risk Assessment ; Risk Factors ; SARS-CoV-2 ; Thromboembolism/diagnosis ; Thromboembolism/mortality ; Thromboembolism/therapy ; Thromboembolism/virology
    Chemical Substances Biomarkers ; Fibrin Fibrinogen Degradation Products ; Inflammation Mediators ; fibrin fragment D ; L-Lactate Dehydrogenase (EC 1.1.1.27)
    Keywords covid19
    Language English
    Publishing date 2020-09-10
    Publishing country United States
    Document type Comparative Study ; Journal Article
    ZDB-ID 1221433-4
    ISSN 1524-4636 ; 1079-5642
    ISSN (online) 1524-4636
    ISSN 1079-5642
    DOI 10.1161/ATVBAHA.120.314845
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1705: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: COVID-19 in the Healthy Patient Population: Demographic and Clinical Phenotypic Characterization and Predictors of In-Hospital Outcomes

    Ronderos Botero, Diana Maria / Omar, Alaa Mabrouk Salem / Sun, Haozhe Keith / Mantri, Nikhitha / Fortuzi, Ked / Choi, Yongsub / Adrish, Muhammad / Nicu, Marin / Bella, Jonathan N / Chilimuri, Sridhar

    Arterioscler Thromb Vasc Biol

    Abstract: OBJECTIVE: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing ... ...

    Abstract OBJECTIVE: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing successful treatment strategies. Approach and Results: In a retrospective study design, consecutive patients without baseline comorbidities hospitalized with confirmed COVID-19 were included. Patients were subdivided into ≤55 and >55 years of age. Predictors of in-hospital mortality or mechanical ventilation were analyzed in this patient population, as well as subgroups. Stable parameters in overall and subgroup models were used to construct a cluster model for phenotyping of patients. Of 1207 COVID-19-positive patients, 157 met the study criteria (80≤55 and 77>55 years of age). Most reliable predictors of outcomes overall and in subgroups were age, initial and follow-up d-dimer, and LDH (lactate dehydrogenase) levels. Their predictive cutoff values were used to construct a cluster model that produced 3 main clusters. Cluster 1 was a low-risk cluster and was characterized by younger patients who had low thrombotic and inflammatory features. Cluster 2 was intermediate risk that also consisted of younger population that had moderate level of thrombosis, higher inflammatory cells, and inflammatory markers. Cluster 3 was a high-risk cluster that had the most aggressive thrombotic and inflammatory feature. CONCLUSIONS: In healthy patient population, COVID-19 remains significantly associated with morbidity and mortality. While age remains the most important predictor of in-hospital outcomes, thromboinflammatory interactions are also associated with worse clinical outcomes regardless of age in healthy patients.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #751419
    Database COVID19

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  5. Article ; Online: COVID-19 in the Healthy Patient Population ; Demographic and Clinical Phenotypic Characterization and Predictors of In-Hospital Outcomes

    Ronderos Botero, Diana Maria / Omar, Alaa Mabrouk Salem / Sun, Haozhe Keith / Mantri, Nikhitha / Fortuzi, Ked / Choi, Yongsub / Adrish, Muhammad / Nicu, Marin / Bella, Jonathan N. / Chilimuri, Sridhar

    Arteriosclerosis, Thrombosis, and Vascular Biology

    2020  Volume 40, Issue 11, Page(s) 2764–2775

    Abstract: Objective: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing ... ...

    Abstract Objective: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing successful treatment strategies. Approach and Results: In a retrospective study design, consecutive patients without baseline comorbidities hospitalized with confirmed COVID-19 were included. Patients were subdivided into ≤55 and >55 years of age. Predictors of in-hospital mortality or mechanical ventilation were analyzed in this patient population, as well as subgroups. Stable parameters in overall and subgroup models were used to construct a cluster model for phenotyping of patients. Of 1207 COVID-19–positive patients, 157 met the study criteria (80≤55 and 77>55 years of age). Most reliable predictors of outcomes overall and in subgroups were age, initial and follow-up d -dimer, and LDH (lactate dehydrogenase) levels. Their predictive cutoff values were used to construct a cluster model that produced 3 main clusters. Cluster 1 was a low-risk cluster and was characterized by younger patients who had low thrombotic and inflammatory features. Cluster 2 was intermediate risk that also consisted of younger population that had moderate level of thrombosis, higher inflammatory cells, and inflammatory markers. Cluster 3 was a high-risk cluster that had the most aggressive thrombotic and inflammatory feature. Conclusions: In healthy patient population, COVID-19 remains significantly associated with morbidity and mortality. While age remains the most important predictor of in-hospital outcomes, thromboinflammatory interactions are also associated with worse clinical outcomes regardless of age in healthy patients.
    Keywords Cardiology and Cardiovascular Medicine ; covid19
    Language English
    Publisher Ovid Technologies (Wolters Kluwer Health)
    Publishing country us
    Document type Article ; Online
    ZDB-ID 1221433-4
    ISSN 1524-4636 ; 1079-5642
    ISSN (online) 1524-4636
    ISSN 1079-5642
    DOI 10.1161/atvbaha.120.314845
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1705: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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