10 research outputs found
The management of acute venous thromboembolism in clinical practice. Results from the European PREFER in VTE Registry
Venous thromboembolism (VTE) is a significant cause of morbidity and mortality in Europe. Data from real-world registries are necessary, as clinical trials do not represent the full spectrum of VTE patients seen in clinical practice. We aimed to document the epidemiology, management and outcomes of VTE using data from a large, observational database. PREFER in VTE was an international, non-interventional disease registry conducted between January 2013 and July 2015 in primary and secondary care across seven European countries. Consecutive patients with acute VTE were documented and followed up over 12 months. PREFER in VTE included 3,455 patients with a mean age of 60.8 ± 17.0 years. Overall, 53.0 % were male. The majority of patients were assessed in the hospital setting as inpatients or outpatients (78.5 %). The diagnosis was deep-vein thrombosis (DVT) in 59.5 % and pulmonary embolism (PE) in 40.5 %. The most common comorbidities were the various types of cardiovascular disease (excluding hypertension; 45.5 %), hypertension (42.3 %) and dyslipidaemia (21.1 %). Following the index VTE, a large proportion of patients received initial therapy with heparin (73.2 %), almost half received a vitamin K antagonist (48.7 %) and nearly a quarter received a DOAC (24.5 %). Almost a quarter of all presentations were for recurrent VTE, with >80 % of previous episodes having occurred more than 12 months prior to baseline. In conclusion, PREFER in VTE has provided contemporary insights into VTE patients and their real-world management, including their baseline characteristics, risk factors, disease history, symptoms and signs, initial therapy and outcomes
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Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS
Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Patients and Methods: We conducted a descriptive retrospective database study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11th June 2020 and are iteratively updated via GitHub. We identified three nonmutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19, and 113,627 hospitalized with COVID-19 requiring intensive services. Results: We aggregated over 22,000 unique characteristics describing patients with COVID-19. All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts and are readily available online. Globally, we observed similarities in the USA and Europe: More women diagnosed than men but more men hospitalized than women, most diagnosed cases between 25 and 60 years of age versus most hospitalized cases between 60 and 80 years of age. South Korea differed with more women than men hospitalized. Common comorbidities included type 2 diabetes, hypertension, chronic kidney disease and heart disease. Common presenting symptoms were dyspnea, cough and fever. Symptom data availability was more common in hospitalized cohorts than diagnosed. Conclusion: We constructed a global, multi-centre view to describe trends in COVID-19 progression, management and evolution over time. By characterising baseline variability in patients and geography, our work provides critical context that may otherwise be misconstrued as data quality issues. This is important as we perform studies on adverse events of special interest in COVID-19 vaccine surveillance. © 2022 Kostka et al.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]
Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS
Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD.
Patients and Methods: We conducted a descriptive retrospective database study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11th June 2020 and are iteratively updated via GitHub. We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19, and 113,627 hospitalized with COVID-19 requiring intensive services.
Results: We aggregated over 22,000 unique characteristics describing patients with COVID-19. All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts and are readily available online. Globally, we observed similarities in the USA and Europe: more women diagnosed than men but more men hospitalized than women, most diagnosed cases between 25 and 60 years of age versus most hospitalized cases between 60 and 80 years of age. South Korea differed with more women than men hospitalized. Common comorbidities included type 2 diabetes, hypertension, chronic kidney disease and heart disease. Common presenting symptoms were dyspnea, cough and fever. Symptom data availability was more common in hospitalized cohorts than diagnosed.
Conclusion: We constructed a global, multi-centre view to describe trends in COVID-19 progression, management and evolution over time. By characterising baseline variability in patients and geography, our work provides critical context that may otherwise be misconstrued as data quality issues. This is important as we perform studies on adverse events of special interest in COVID-19 vaccine surveillance.</p
The management of patients with venous thromboembolism in Italy: insights from the PREFER in VTE registry
Venous thromboembolism (VTE) is the third most common cardiovascular disease. Real-life data on the clinical presentation, risk factors, diagnosis, and treatment of VTE in Italy and Europe are required to optimize the management of this disease. The PREFER in VTE registry, a prospective non-interventional real-life study, was designed to assess clinical characteristics and management of patients with VTE, use of health care resources, and on-treatment patient quality of life. Eligible consecutive patients with objectively diagnosed VTE were enrolled in the registry and followed up for 12 months. Between January and December 2013, 816 Italian and 1027 patients from 6 European countries other than Italy (European patients) were enrolled in the registry, and followed up until December 2014. Italian patients were the oldest (mean age 65.7 years) among the European patients. The Italian patients with a history of cancer were 24.6 % of whom 63.2 % had an active cancer (18.2 and 57.0 %, respectively, in Europe). Parenteral heparin was given, as initial treatment, in 73.8 % of Italian patients (66.4 % in Europe); VKA in combination with other treatments in 45.8 % (34.7 % in Europe); and VKA as the only anticoagulant treatment in 24.4 % (17.2 % in Europe). Of the Italian patients, 43.2 and 90.6 % of patients were hospitalized for deep vein thrombosis and pulmonary embolism, respectively; 65.4 % were admitted to the hospital through the emergency department. Following a real world approach, PREFER in VTE shows that the Italian patients, among and compared to the European patients, are the oldest, have a history of cancer more commonly, receive an initial treatment with heparin more commonly, and are more commonly hospitalized, particularly if affected by PE
Measurement of the reaction gamma* p --> phi p in deep inelastic e+ p scattering at HERA
The production of mesons in the reaction (), for GeV and for
virtual photon-proton centre of mass energies () in the range 42-134 GeV,
has been studied with the ZEUS detector at HERA. When compared to lower energy
data at similar , the results show that the \gamma^*p \rightarrow \phid
p cross section rises strongly with . This behaviour is similar to that
previously found for the cross section. This
strong dependence cannot be explained by production through soft pomeron
exchange. It is, however, consistent with perturbative QCD expectations, where
it reflects the rise of the gluon momentum density in the proton at small .
The ratio of , which has previously been
determined by ZEUS to be 0.065 0.013 (stat.) in photoproduction at a mean
of 70 GeV, is measured to be 0.18 0.05 (stat.) 0.03 (syst.) at
a mean of 12.3 GeV and mean of 100 GeV and is thus
approaching at large the value of 2/9 predicted from the quark charges of
the vector mesons and a flavour independent production mechanism.Comment: 22 pages, including 4 figures. Includes some minor editorial change
Exclusive rho0 production in deep inelastic electron - proton scattering at HERA
The exclusive production of mesons in deep inelastic electron-proton
scattering has been studied using the ZEUS detector. Cross sections have been
measured in the range GeV for centre of mass
(c.m.) energies from 40 to 130 GeV. The cross section
exhibits a dependence and both
longitudinally and transversely polarised 's are observed. The
cross section rises strongly with increasing c.m.
energy, when compared with NMC data at lower energy, which cannot be explained
by production through soft pomeron exchange. The data are compared with
perturbative QCD calculations where the rise in the cross section reflects the
increase in the gluon density at low . the gluon density at low .Comment: 22 pages, latex, 4 figures appende