LIVIVO - Das Suchportal für Lebenswissenschaften

switch to English language
Erweiterte Suche

Ihre letzten Suchen

  1. AU="Ali Ait Hssain"
  2. AU="Nabil, Imrul Kayes"
  3. AU="Park, Hyerin"
  4. AU="Radojcic Badovinac, Andelka"
  5. AU="Havmøller, Rasmus W"
  6. AU=Chanda-Kapata Pascalina
  7. AU="Yumi Terakado"
  8. AU="Belal, Ahmed"
  9. AU="Prasher, Parteek"
  10. AU=Hasan Anamul
  11. AU="Janzic, Urska"
  12. AU="Moussavi-Baygi, Ruhollah"
  13. AU=Joffe Russell T
  14. AU="Szerencsés, Viktória"
  15. AU="Venkatesan, Vettriselvi"
  16. AU="Houzé, Sandrine"
  17. AU="Cox, Caitlin"
  18. AU="Sheng, Xin-Qing"
  19. AU="Marrink, Siewert J"
  20. AU="Boland, Fiona"
  21. AU="Semcesen, Liana N"
  22. AU="Beah, Peter Y"
  23. AU="Zakzuk, Josefina"
  24. AU="Buchner, Denise"
  25. AU="Xueting Feng"
  26. AU="Chen, Si-Rui"
  27. AU="Hoffmann, Sven"
  28. AU="Kang, Kyung Jun"
  29. AU="Brinks, Henriette L"

Suchergebnis

Treffer 1 - 10 von insgesamt 13

Suchoptionen

  1. Artikel ; Online: A CRISPR-based approach using dead Cas9-sgRNA to detect SARS-CoV-2

    Mustapha Aouida / Maryam Saifaldeen / Dana E. Al-Ansari / Sara Taleb / Ali Ait Hssain / Dindial Ramotar

    Frontiers in Molecular Biosciences, Vol

    2023  Band 10

    Abstract: Rapid, highly specific, and robust diagnostic kits to detect viruses and pathogens are needed to control disease spread and transmission globally. Of the many different methods proposed to diagnose COVID-19 infection, CRISPR-based detection of nucleic ... ...

    Abstract Rapid, highly specific, and robust diagnostic kits to detect viruses and pathogens are needed to control disease spread and transmission globally. Of the many different methods proposed to diagnose COVID-19 infection, CRISPR-based detection of nucleic acids tests are among the most prominent. Here, we describe a new way of using CRISPR/Cas systems as a rapid and highly specific tool to detect the SARS-CoV-2 virus using the in vitro dCas9-sgRNA-based technique. As a proof of concept, we used a synthetic DNA of the M gene, one of the SARS-CoV-2 virus genes, and demonstrated that we can specifically inactivate unique restriction enzyme sites on this gene using CRISPR/Cas multiplexing of dCas9-sgRNA-BbsI and dCas9-sgRNA-XbaI. These complexes recognize and bind to the target sequence spanning the BbsI and XbaI restriction enzyme sites, respectively, and protect the M gene from digestion by BbsI and/or XbaI. We further demonstrated that this approach can be used to detect the M gene when expressed in human cells and from individuals infected with SARS-CoV-2. We refer to this approach as dead Cas9 Protects Restriction Enzyme Sites, and believe that it has the potential to be applied as a diagnostic tool for many DNA/RNA pathogens.
    Schlagwörter SARS-CoV-2 ; M gene ; dead Cas9 ; restriction enzymes ; RT-RPA ; diagnostics ; Biology (General) ; QH301-705.5
    Thema/Rubrik (Code) 572
    Sprache Englisch
    Erscheinungsdatum 2023-06-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  2. Artikel ; Online: Pharmacokinetics, Pharmacodynamics, and Dosing Considerations of Novel β-Lactams and β-Lactam/β-Lactamase Inhibitors in Critically Ill Adult Patients

    Dana Bakdach / Reem Elajez / Abdul Rahman Bakdach / Ahmed Awaisu / Gennaro De Pascale / Ali Ait Hssain

    Journal of Clinical Medicine, Vol 11, Iss 6898, p

    Focus on Obesity, Augmented Renal Clearance, Renal Replacement Therapies, and Extracorporeal Membrane Oxygenation

    2022  Band 6898

    Abstract: Objective: Dose optimization of novel β-lactam antibiotics (NBLA) has become necessary given the increased prevalence of multidrug-resistant infections in intensive care units coupled with the limited number of available treatment options. Unfortunately, ...

    Abstract Objective: Dose optimization of novel β-lactam antibiotics (NBLA) has become necessary given the increased prevalence of multidrug-resistant infections in intensive care units coupled with the limited number of available treatment options. Unfortunately, recommended dose regimens of NBLA based on PK/PD indices are not well-defined for critically ill patients presenting with special situations (i.e., obesity, extracorporeal membrane oxygenation (ECMO), augmented renal clearance (ARC), and renal replacement therapies (RRT)). This review aimed to discuss and summarize the available literature on the PK/PD attained indices of NBLA among critically ill patients with special circumstances. Data Sources: PubMed, MEDLINE, Scopus, Google Scholar, and Embase databases were searched for studies published between January 2011 and May 2022. Study selection and data extraction: Articles relevant to NBLA (i.e., ceftolozane/tazobactam, ceftazidime/avibactam, cefiderocol, ceftobiprole, imipenem/relebactam, and meropenem/vaborbactam) were selected. The MeSH terms of “obesity”, “augmented renal clearance”, “renal replacement therapy”, “extracorporeal membrane oxygenation”, “pharmacokinetic”, “pharmacodynamic” “critically ill”, and “intensive care” were used for identification of articles. The search was limited to adult humans’ studies that were published in English. A narrative synthesis of included studies was then conducted accordingly. Data synthesis: Available evidence surrounding the use of NBLA among critically ill patients presenting with special situations was limited by the small sample size of the included studies coupled with high heterogeneity. The PK/PD target attainments of NBLA were reported to be minimally affected by obesity and/or ECMO, whereas the effect of renal functionality (in the form of either ARC or RRT) was more substantial. Conclusion: Critically ill patients presenting with special circumstances might be at risk of altered NBLA pharmacokinetics, particularly in the settings of ARC and RRT. More ...
    Schlagwörter novel beta-lactam antibiotics ; critical care ; augmented renal clearance ; extracorporeal membrane oxygenation ; renal replacement ; obesity ; Medicine ; R
    Thema/Rubrik (Code) 616
    Sprache Englisch
    Erscheinungsdatum 2022-11-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  3. Artikel ; Online: DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

    Martina Bradic / Sarah Taleb / Binitha Thomas / Omar Chidiac / Amal Robay / Nessiya Hassan / Joel Malek / Ali Ait Hssain / Charbel Abi Khalil

    Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-

    2022  Band 18

    Abstract: Abstract Background COVID-19 infections could be complicated by acute respiratory distress syndrome (ARDS), increasing mortality risk. We sought to assess the methylome of peripheral blood mononuclear cells in COVID-19 with ARDS. Methods We recruited 100 ...

    Abstract Abstract Background COVID-19 infections could be complicated by acute respiratory distress syndrome (ARDS), increasing mortality risk. We sought to assess the methylome of peripheral blood mononuclear cells in COVID-19 with ARDS. Methods We recruited 100 COVID-19 patients with ARDS under mechanical ventilation and 33 non-COVID-19 controls between April and July 2020. COVID-19 patients were followed at four time points for 60 days. DNA methylation and immune cell populations were measured at each time point. A multivariate cox proportional risk regression analysis was conducted to identify predictive signatures according to survival. Results The comparison of COVID-19 to controls at inclusion revealed the presence of a 14.4% difference in promoter-associated CpGs in genes that control immune-related pathways such as interferon-gamma and interferon-alpha responses. On day 60, 24% of patients died. The inter-comparison of baseline DNA methylation to the last recorded time point in both COVID-19 groups or the intra-comparison between inclusion and the end of follow-up in every group showed that most changes occurred as the disease progressed, mainly in the AIM gene, which is associated with an intensified immune response in those who recovered. The multivariate Cox proportional risk regression analysis showed that higher methylation of the “Apoptotic execution Pathway” genes (ROC1, ZNF789, and H1F0) at inclusion increases mortality risk by over twofold. Conclusion We observed an epigenetic signature of immune-related genes in COVID-19 patients with ARDS. Further, Hypermethylation of the apoptotic execution pathway genes predicts the outcome. Trial registration: IMRPOVIE study, NCT04473131.
    Schlagwörter COVID-19 ; ARDS ; DNA methylation ; Epigenetics ; Mortality ; Survival ; Medicine ; R
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2022-11-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  4. Artikel ; Online: Epigenetic age acceleration in surviving versus deceased COVID-19 patients with acute respiratory distress syndrome following hospitalization

    Yosra Bejaoui / Fathima Humaira Amanullah / Mohamad Saad / Sara Taleb / Martina Bradic / Andre Megarbane / Ali Ait Hssain / Charbel Abi Khalil / Nady El Hajj

    Clinical Epigenetics, Vol 15, Iss 1, Pp 1-

    2023  Band 11

    Abstract: Abstract Background Aging has been reported as a major risk factor for severe symptoms and higher mortality rates in COVID-19 patients. Molecular hallmarks such as epigenetic alterations and telomere attenuation reflect the biological process of aging. ... ...

    Abstract Abstract Background Aging has been reported as a major risk factor for severe symptoms and higher mortality rates in COVID-19 patients. Molecular hallmarks such as epigenetic alterations and telomere attenuation reflect the biological process of aging. Epigenetic clocks have been shown to be valuable tools for measuring biological age in various tissues and samples. As such, these epigenetic clocks can determine accelerated biological aging and time-to-mortality across various tissues. Previous reports have shown accelerated biological aging and telomere attrition acceleration following SARS-CoV-2 infection. However, the effect of accelerated epigenetic aging on outcome (death/recovery) in COVID-19 patients with acute respiratory distress syndrome (ARDS) has not been well investigated. Results In this study, we measured DNA methylation age and telomere attrition in 87 severe COVID-19 cases with ARDS under mechanical ventilation. Furthermore, we compared dynamic changes in epigenetic aging across multiple time points until recovery or death. Epigenetic age was measured using the Horvath, Hannum, DNAm skin and blood, GrimAge, and PhenoAge clocks, whereas telomere length was calculated using the surrogate marker DNAmTL. Our analysis revealed significant accelerated epigenetic aging but no telomere attrition acceleration in severe COVID-19 cases. In addition, we observed epigenetic age deceleration at inclusion versus end of follow-up in recovered but not in deceased COVID-19 cases using certain clocks. When comparing dynamic changes in epigenetic age acceleration (EAA), we detected higher EAA using both the Horvath and PhenoAge clocks in deceased versus recovered patients. The DNAmTL measurements revealed telomere attrition acceleration in deceased COVID-19 patients between inclusion and end of follow-up and a significant change in dynamic telomere attrition acceleration when comparing patients who recovered versus those who died. Conclusions EAA and telomere attrition acceleration were associated with treatment ...
    Schlagwörter COVID-19 ; Epigenetic clocks ; Epigenetic age acceleration ; SARS-CoV-2 ; Medicine ; R ; Genetics ; QH426-470
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2023-11-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  5. Artikel ; Online: Predictive Biomarkers of Intensive Care Unit and Mechanical Ventilation Duration in Critically-Ill Coronavirus Disease 2019 Patients

    Sara Taleb / Hadi M. Yassine / Fatiha M. Benslimane / Maria K. Smatti / Sven Schuchardt / Omar Albagha / Asmaa A. Al-Thani / Ali Ait Hssain / Ilhame Diboun / Mohamed A. Elrayess

    Frontiers in Medicine, Vol

    2021  Band 8

    Abstract: Introduction: Detection of early metabolic changes in critically-ill coronavirus disease 2019 (COVID-19) patients under invasive mechanical ventilation (IMV) at the intensive care unit (ICU) could predict recovery patterns and help in disease management ... ...

    Abstract Introduction: Detection of early metabolic changes in critically-ill coronavirus disease 2019 (COVID-19) patients under invasive mechanical ventilation (IMV) at the intensive care unit (ICU) could predict recovery patterns and help in disease management.Methods: Targeted metabolomics of serum samples from 39 COVID-19 patients under IMV in ICU was performed within 48 h of intubation and a week later. A generalized linear model (GLM) was used to identify, at both time points, metabolites and clinical traits that predict the length of stay (LOS) at ICU (short ≤ 14 days/long >14 days) as well as the duration under IMV. All models were initially trained on a set of randomly selected individuals and validated on the remaining individuals in the cohort. Further validation in recently published metabolomics data of COVID-19 severity was performed.Results: A model based on hypoxanthine and betaine measured at first time point was best at predicting whether a patient is likely to experience a short or long stay at ICU [area under curve (AUC) = 0.92]. A further model based on kynurenine, 3-methylhistidine, ornithine, p-cresol sulfate, and C24.0 sphingomyelin, measured 1 week later, accurately predicted the duration of IMV (Pearson correlation = 0.94). Both predictive models outperformed Acute Physiology and Chronic Health Evaluation II (APACHE II) scores and differentiated COVID-19 severity in published data.Conclusion: This study has identified specific metabolites that can predict in advance LOS and IMV, which could help in the management of COVID-19 cases at ICU.
    Schlagwörter COVID-19 ; metabolomics ; biomarkers ; ICU outcome ; ICU management ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2021-08-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  6. Artikel ; Online: Flow controlled ventilation in Acute Respiratory Distress Syndrome associated with COVID-19

    Stefan Roehrig / Ali Ait Hssain / Nabil Al Hamid Shallik / Ingi Mohamed A. Elsaid / Salma Faisal Mustafa / Osama A. M. Smain / Ashraf Abdulla Molokhia / Marcus D. Lance

    Trials, Vol 21, Iss 1, Pp 1-

    A structured summary of a study protocol for a randomised controlled trial

    2020  Band 2

    Abstract: Abstract Objectives This study aims to demonstrate the positive effects on oxygenation of flow-controlled ventilation compared to conventionally ventilated patients in patients suffering from Acute respiratory distress syndrome (ARDS) associated with ... ...

    Abstract Abstract Objectives This study aims to demonstrate the positive effects on oxygenation of flow-controlled ventilation compared to conventionally ventilated patients in patients suffering from Acute respiratory distress syndrome (ARDS) associated with COVID-19.We define ARDS according to the “Berlin” definition integrating the oxygenation index (P/F ratio), the level of Positive End Expiratory Pressure (PEEP), radiological and clinical findings. Trial design This is a prospective, randomized (1:1 ratio), parallel group feasibility study in adult patients with proven COVID-19 associated ARDS. Participants All adult patients admitted to the ICU of Hamad Medical Corporation facilities in Qatar because of COVID-19 infection who develop moderate to severe ARDS are eligible. The inclusion criteria are above 18 years of age, proven COVID-19 infection, respiratory failure necessitating intubation and mechanical ventilation, ARDS with a P/F ratio of at least 200mmHg or less and a minimum PEEP 5cmH2O, BMI less 30 kg/ m2. The following exclusion criteria: no written consent, chronic respiratory disease, acute or chronic cardiovascular disease, pregnancy or need for special therapy (prone position and/or Extracorporeal membrane oxygenation). Intervention and comparator After randomisation, the group A patients will be ventilated with the test-device for 48 hours. The settings will be started with the pre-existing-PEEP. The upper pressure will be determined to achieve a tidal volume of 6 ml/kg lean body mass, while the respiratory rate will be set to maintain an arterial pH above 7.2. In group B, the ventilator settings will be adjusted by the attending ICU team in accordance with lung-protective ventilation strategy. All other treatment will be unchanged and according to our local policies/guidelines. Main outcomes The primary end point is PaO2. As this is a dynamic parameter, we will record it every 6-8 hours and analyse it sequentially. Randomisation The study team screens the ventilated patients who fulfil the inclusion ...
    Schlagwörter COVID-19 ; randomised controlled trial ; protocol ; ARDS ; Flow Controlled Ventilation ; Mechanical ventilation ; Medicine (General) ; R5-920 ; covid19
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2020-09-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  7. Artikel ; Online: Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique

    Tawsifur Rahman / Fajer A. Al-Ishaq / Fatima S. Al-Mohannadi / Reem S. Mubarak / Maryam H. Al-Hitmi / Khandaker Reajul Islam / Amith Khandakar / Ali Ait Hssain / Somaya Al-Madeed / Susu M. Zughaier / Muhammad E. H. Chowdhury

    Diagnostics, Vol 11, Iss 1582, p

    2021  Band 1582

    Abstract: Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and prioritization of mortality ... ...

    Abstract Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and prioritization of mortality mitigation resources. The novelty of the work proposed in this paper is an early prediction model of high mortality risk for both COVID-19 and non-COVID-19 patients, which provides state-of-the-art performance, in an external validation cohort from a different population. Retrospective research was performed on two separate hospital datasets from two different countries for model development and validation. In the first dataset, COVID-19 and non-COVID-19 patients were admitted to the emergency department in Boston (24 March 2020 to 30 April 2020), and in the second dataset, 375 COVID-19 patients were admitted to Tongji Hospital in China (10 January 2020 to 18 February 2020). The key parameters to predict the risk of mortality for COVID-19 and non-COVID-19 patients were identified and a nomogram-based scoring technique was developed using the top-ranked five parameters. Age, Lymphocyte count, D-dimer, CRP, and Creatinine (ALDCC), information acquired at hospital admission, were identified by the logistic regression model as the primary predictors of hospital death. For the development cohort, and internal and external validation cohorts, the area under the curves (AUCs) were 0.987, 0.999, and 0.992, respectively. All the patients are categorized into three groups using ALDCC score and death probability: Low (probability < 5%), Moderate (5% < probability < 50%), and High (probability > 50%) risk groups. The prognostic model, nomogram, and ALDCC score will be able to assist in the early identification of both COVID-19 and non-COVID-19 patients with high mortality risk, helping physicians to improve patient management.
    Schlagwörter machine learning ; D-dimer ; biomarkers ; COVID-19 ; coagulopathy ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 310
    Sprache Englisch
    Erscheinungsdatum 2021-08-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  8. Artikel ; Online: Emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis, therapeutics and vaccines

    Queenie Fernandes / Varghese Philipose Inchakalody / Maysaloun Merhi / Sarra Mestiri / Nassiba Taib / Dina Moustafa Abo El-Ella / Takwa Bedhiafi / Afsheen Raza / Lobna Al-Zaidan / Mona O. Mohsen / Mariam Ali Yousuf Al-Nesf / Ali Ait Hssain / Hadi Mohamad Yassine / Martin F. Bachmann / Shahab Uddin / Said Dermime

    Annals of Medicine, Vol 54, Iss 1, Pp 524-

    2022  Band 540

    Abstract: The emergence of novel and evolving variants of SARS-CoV-2 has fostered the need for change in the form of newer and more adaptive diagnostic methods for the detection of SARS-CoV-2 infections. On the other hand, developing rapid and sensitive diagnostic ...

    Abstract The emergence of novel and evolving variants of SARS-CoV-2 has fostered the need for change in the form of newer and more adaptive diagnostic methods for the detection of SARS-CoV-2 infections. On the other hand, developing rapid and sensitive diagnostic technologies is now more challenging due to emerging variants and varying symptoms exhibited among the infected individuals. In addition to this, vaccines remain the major mainstay of prevention and protection against infection. Novel vaccines and drugs are constantly being developed to unleash an immune response for the robust targeting of SARS-CoV-2 and its associated variants. In this review, we provide an updated perspective on the current challenges posed by the emergence of novel SARS-CoV-2 mutants/variants and the evolution of diagnostic techniques to enable their detection. In addition, we also discuss the development, formulation, working mechanisms, advantages, and drawbacks of some of the most used vaccines/therapeutic drugs and their subsequent immunological impact.Key message The emergence of novel variants of the SARS-CoV-2 in the past couple of months, highlights one of the primary challenges in the diagnostics, treatment, as well as vaccine development against the virus. Advancements in SARS-CoV-2 detection include nucleic acid based, antigen and immuno- assay-based and antibody-based detection methodologies for efficient, robust, and quick testing; while advancements in COVID-19 preventive and therapeutic strategies include novel antiviral and immunomodulatory drugs and SARS-CoV-2 targeted vaccines. The varied COVID-19 vaccine platforms and the immune responses induced by each one of them as well as their ability to battle post-vaccination infections have all been discussed in this review.
    Schlagwörter covid-19 ; sars-cov-2 ; omicron ; coronaviruses ; diagnostic testing ; vaccine ; immunological responses ; viral epidemic ; Medicine ; R
    Thema/Rubrik (Code) 670
    Sprache Englisch
    Erscheinungsdatum 2022-12-01T00:00:00Z
    Verlag Taylor & Francis Group
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  9. Artikel ; Online: Prognostic tools and candidate drugs based on plasma proteomics of patients with severe COVID-19 complications

    Maryam A. Y. Al-Nesf / Houari B. Abdesselem / Ilham Bensmail / Shahd Ibrahim / Walaa A. H. Saeed / Sara S. I. Mohammed / Almurtada Razok / Hashim Alhussain / Reham M. A. Aly / Muna Al Maslamani / Khalid Ouararhni / Mohamad Y. Khatib / Ali Ait Hssain / Ali S. Omrani / Saad Al-Kaabi / Abdullatif Al Khal / Asmaa A. Al-Thani / Waseem Samsam / Abdulaziz Farooq /
    Jassim Al-Suwaidi / Mohammed Al-Maadheed / Heba H. Al-Siddiqi / Alexandra E. Butler / Julie V. Decock / Vidya Mohamed-Ali / Fares Al-Ejeh

    Nature Communications, Vol 13, Iss 1, Pp 1-

    2022  Band 14

    Abstract: Prognostic markers for patients with COVID-19 are of critical importance in determining the course of SARS-CoV-2 infection and patient handling. Here the authors determine and apply a prognostic proteomic panel for risk and drug prediction in the ... ...

    Abstract Prognostic markers for patients with COVID-19 are of critical importance in determining the course of SARS-CoV-2 infection and patient handling. Here the authors determine and apply a prognostic proteomic panel for risk and drug prediction in the management of SARS-CoV-2 infected patients.
    Schlagwörter Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

  10. Artikel ; Online: The first consecutive 5000 patients with Coronavirus Disease 2019 from Qatar; a nation-wide cohort study

    Ali S. Omrani / Muna A. Almaslamani / Joanne Daghfal / Rand A. Alattar / Mohamed Elgara / Shahd H. Shaar / Tawheeda B. H. Ibrahim / Ahmed Zaqout / Dana Bakdach / Abdelrauof M. Akkari / Anas Baiou / Bassem Alhariri / Reem Elajez / Ahmed A. M. Husain / Mohamed N. Badawi / Fatma Ben Abid / Sulieman H. Abu Jarir / Shiema Abdalla / Anvar Kaleeckal /
    Kris Choda / Venkateswara R. Chinta / Mohamed A. Sherbash / Khalil Al-Ismail / Mohammed Abukhattab / Ali Ait Hssain / Peter V. Coyle / Roberto Bertollini / Michael P. Frenneaux / Abdullatif Alkhal / Hanan M. Al-Kuwari

    BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-

    2020  Band 11

    Abstract: Abstract Background There are limited data on Coronavirus Disease 2019 (COVID-19) outcomes at a national level, and none after 60 days of follow up. The aim of this study was to describe national, 60-day all-cause mortality associated with COVID-19, and ... ...

    Abstract Abstract Background There are limited data on Coronavirus Disease 2019 (COVID-19) outcomes at a national level, and none after 60 days of follow up. The aim of this study was to describe national, 60-day all-cause mortality associated with COVID-19, and to identify risk factors associated with admission to an intensive care unit (ICU). Methods This was a retrospective cohort study including the first consecutive 5000 patients with COVID-19 in Qatar who completed 60 days of follow up by June 17, 2020. The primary outcome was all-cause mortality at 60 days after COVID-19 diagnosis. In addition, we explored risk factors for admission to ICU. Results Included patients were diagnosed with COVID-19 between February 28 and April 17, 2020. The majority (4436, 88.7%) were males and the median age was 35 years [interquartile range (IQR) 28–43]. By 60 days after COVID-19 diagnosis, 14 patients (0.28%) had died, 10 (0.2%) were still in hospital, and two (0.04%) were still in ICU. Fatal COVID-19 cases had a median age of 59.5 years (IQR 55.8–68), and were mostly males (13, 92.9%). All included pregnant women (26, 0.5%), children (131, 2.6%), and healthcare workers (135, 2.7%) were alive and not hospitalized at the end of follow up. A total of 1424 patients (28.5%) required hospitalization, out of which 108 (7.6%) were admitted to ICU. Most frequent co-morbidities in hospitalized adults were diabetes (23.2%), and hypertension (20.7%). Multivariable logistic regression showed that older age [adjusted odds ratio (aOR) 1.041, 95% confidence interval (CI) 1.022–1.061 per year increase; P < 0.001], male sex (aOR 4.375, 95% CI 1.964–9.744; P < 0.001), diabetes (aOR 1.698, 95% CI 1.050–2.746; P 0.031), chronic kidney disease (aOR 3.590, 95% CI 1.596–8.079, P 0.002), and higher BMI (aOR 1.067, 95% CI 1.027–1.108 per unit increase; P 0.001), were all independently associated with increased risk of ICU admission. Conclusions In a relatively younger national cohort with a low co-morbidity burden, COVID-19 was associated with low all-cause mortality. Independent risk factors for ICU admission included older age, male sex, higher BMI, and co-existing diabetes or chronic kidney disease.
    Schlagwörter Coronavirus ; COVID-19 ; SARS-CoV-2 ; Mortality ; Qatar ; Infectious and parasitic diseases ; RC109-216 ; covid19
    Thema/Rubrik (Code) 610 ; 616
    Sprache Englisch
    Erscheinungsdatum 2020-10-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Zusatzmaterialien

    Kategorien

Zum Seitenanfang