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  1. Article ; Online: El neoliberalismo en Argentina. Percepciones ciudadanas de una crónica fatalista

    Rebeca Rodríguez Minor / Christian Reich López

    El Trimestre Económico, Vol 88, Iss 350, Pp 483-

    2021  Volume 522

    Abstract: La impactante crisis económica que vivió Argentina en 2001 fue la dolorosa consecuencia de gobiernos ultraneoliberales, que se dedicaron a privatizar la nación y manipular el valor monetario interno en su juego paritario con el dólar estadunidense, lo ... ...

    Abstract La impactante crisis económica que vivió Argentina en 2001 fue la dolorosa consecuencia de gobiernos ultraneoliberales, que se dedicaron a privatizar la nación y manipular el valor monetario interno en su juego paritario con el dólar estadunidense, lo cual finalmente los llevó a un callejón sin salida. Hoy, 20 años después, vemos que la lección no fue aprendida. La historia se repite, con una economía volátil, una inflación rampante y una moneda por demás devaluada que llevaron al gobierno de ultraderecha de Mauricio Macri a tomar medidas correctivas impopulares, muy parecidas a las adoptadas en 2001 para evitar la fuga de capitales. Esta dualidad nos lleva a analizar el desempeño gubernamental y la percepción ciudadana a través de los años, con la intención de comprender mejor los resultados electorales, las preferencias poblacionales, sus perspectivas y reacciones políticas, de acuerdo con su experiencia en la historia económica de su país. Un estudio de este tipo nos permite visualizar y comprender de manera mucho más objetiva e integral la realidad que vive esta gran nación sudamericana. El análisis vincula la teoría con la práctica, de tal suerte que nos sea posible detectar tendencias y estrategias a futuro, de beneficio social y económico, principalmente ante el cambio político que representa el regreso de la izquierda al poder, después del fatídico resultado del gobierno de Macri.
    Keywords argentina ; percepción ciudadana ; neoliberalismo ; mauricio macri ; Economic history and conditions ; HC10-1085 ; Economics as a science ; HB71-74
    Language Spanish
    Publishing date 2021-01-01T00:00:00Z
    Publisher Fondo de Cultura Económica
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis

    Yeesuk Kim / Yuxi Tian / Jianxiao Yang / Vojtech Huser / Peng Jin / Christophe G. Lambert / Hojun Park / Seng Chan You / Rae Woong Park / Peter R. Rijnbeek / Mui Van Zandt / Christian Reich / Rohit Vashisht / Yonghui Wu / Jon Duke / George Hripcsak / David Madigan / Nigam H. Shah / Patrick B. Ryan /
    Martijn J. Schuemie / Marc A. Suchard

    Scientific Reports, Vol 10, Iss 1, Pp 1-

    2020  Volume 10

    Abstract: Abstract Alendronate and raloxifene are among the most popular anti-osteoporosis medications. However, there is a lack of head-to-head comparative effectiveness studies comparing the two treatments. We conducted a retrospective large-scale multicenter ... ...

    Abstract Abstract Alendronate and raloxifene are among the most popular anti-osteoporosis medications. However, there is a lack of head-to-head comparative effectiveness studies comparing the two treatments. We conducted a retrospective large-scale multicenter study encompassing over 300 million patients across nine databases encoded in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The primary outcome was the incidence of osteoporotic hip fracture, while secondary outcomes were vertebral fracture, atypical femoral fracture (AFF), osteonecrosis of the jaw (ONJ), and esophageal cancer. We used propensity score trimming and stratification based on an expansive propensity score model with all pre-treatment patient characteritistcs. We accounted for unmeasured confounding using negative control outcomes to estimate and adjust for residual systematic bias in each data source. We identified 283,586 alendronate patients and 40,463 raloxifene patients. There were 7.48 hip fracture, 8.18 vertebral fracture, 1.14 AFF, 0.21 esophageal cancer and 0.09 ONJ events per 1,000 person-years in the alendronate cohort and 6.62, 7.36, 0.69, 0.22 and 0.06 events per 1,000 person-years, respectively, in the raloxifene cohort. Alendronate and raloxifene have a similar hip fracture risk (hazard ratio [HR] 1.03, 95% confidence interval [CI] 0.94–1.13), but alendronate users are more likely to have vertebral fractures (HR 1.07, 95% CI 1.01–1.14). Alendronate has higher risk for AFF (HR 1.51, 95% CI 1.23–1.84) but similar risk for esophageal cancer (HR 0.95, 95% CI 0.53–1.70), and ONJ (HR 1.62, 95% CI 0.78–3.34). We demonstrated substantial control of measured confounding by propensity score adjustment, and minimal residual systematic bias through negative control experiments, lending credibility to our effect estimates. Raloxifene is as effective as alendronate and may remain an option in the prevention of osteoporotic fracture.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Prediction of Major Depressive Disorder Following Beta-Blocker Therapy in Patients with Cardiovascular Diseases

    Suho Jin / Kristin Kostka / Jose D. Posada / Yeesuk Kim / Seung In Seo / Dong Yun Lee / Nigam H. Shah / Sungwon Roh / Young-Hyo Lim / Sun Geu Chae / Uram Jin / Sang Joon Son / Christian Reich / Peter R. Rijnbeek / Rae Woong Park / Seng Chan You

    Journal of Personalized Medicine, Vol 10, Iss 288, p

    2020  Volume 288

    Abstract: Incident depression has been reported to be associated with poor prognosis in patients with cardiovascular disease (CVD), which might be associated with beta-blocker therapy. Because early detection and intervention can alleviate the severity of ... ...

    Abstract Incident depression has been reported to be associated with poor prognosis in patients with cardiovascular disease (CVD), which might be associated with beta-blocker therapy. Because early detection and intervention can alleviate the severity of depression, we aimed to develop a machine learning (ML) model predicting the onset of major depressive disorder (MDD). A model based on L 1 regularized logistic regression was trained against the South Korean nationwide administrative claims database to identify risk factors for the incident MDD after beta-blocker therapy in patients with CVD. We identified 50,397 patients initiating beta-blockers for CVD, with 774 patients developing MDD within 365 days after initiating beta-blocker therapy. An area under the receiver operating characteristic curve (AUC) of 0.74 was achieved. A history of non-selective beta-blockers and factors related to anxiety disorder, sleeping problems, and other chronic diseases were the most strong predictors. AUCs of 0.62–0.71 were achieved in the external validation conducted on six independent electronic health records and claims databases in the USA and South Korea. In conclusion, an ML model that identifies patients at high-risk for incident MDD was developed. Application of ML to identify susceptible patients for adverse events of treatment may serve as an important approach for personalized medicine.
    Keywords adrenergic beta-antagonists ; depressive disorder ; machine learning ; cardiovascular diseases ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2020-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases

    Erica A. Voss / Azza Shoaibi / Lana Yin Hui Lai / Clair Blacketer / Thamir Alshammari / Rupa Makadia / Kevin Haynes / Anthony G. Sena / Gowtham Rao / Sebastiaan van Sandijk / Clement Fraboulet / Laurent Boyer / Tanguy Le Carrour / Scott Horban / Daniel R. Morales / Jordi Martínez Roldán / Juan Manuel Ramírez-Anguita / Miguel A. Mayer / Marcel de Wilde /
    Luis H. John / Talita Duarte-Salles / Elena Roel / Andrea Pistillo / Raivo Kolde / Filip Maljković / Spiros Denaxas / Vaclav Papez / Michael G. Kahn / Karthik Natarajan / Christian Reich / Alex Secora / Evan P. Minty / Nigam H. Shah / Jose D. Posada / Maria Teresa Garcia Morales / Diego Bosca / Honorio Cadenas Juanino / Antonio Diaz Holgado / Miguel Pedrera Jiménez / Pablo Serrano Balazote / Noelia García Barrio / Selçuk Şen / Ali Yağız Üresin / Baris Erdogan / Luc Belmans / Geert Byttebier / Manu L.N.G. Malbrain / Daniel J. Dedman / Zara Cuccu / Rohit Vashisht / Atul J. Butte / Ayan Patel / Lisa Dahm / Cora Han / Fan Bu / Faaizah Arshad / Anna Ostropolets / Fredrik Nyberg / George Hripcsak / Marc A. Suchard / Dani Prieto-Alhambra / Peter R. Rijnbeek / Martijn J. Schuemie / Patrick B. Ryan

    EClinicalMedicine, Vol 58, Iss , Pp 101932- (2023)

    a multinational retrospective cohort studyResearch in context

    2023  

    Abstract: Summary: Background: Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with COVID-19. Our aim was to characterise the incidence rates of ... ...

    Abstract Summary: Background: Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with COVID-19. Our aim was to characterise the incidence rates of AESIs following SARS-CoV-2 infection in patients and compare these to historical rates in the general population. Methods: A multi-national cohort study with data from primary care, electronic health records, and insurance claims mapped to a common data model. This study's evidence was collected between Jan 1, 2017 and the conclusion of each database (which ranged from Jul 2020 to May 2022). The 16 pre-specified prevalent AESIs were: acute myocardial infarction, anaphylaxis, appendicitis, Bell's palsy, deep vein thrombosis, disseminated intravascular coagulation, encephalomyelitis, Guillain- Barré syndrome, haemorrhagic stroke, non-haemorrhagic stroke, immune thrombocytopenia, myocarditis/pericarditis, narcolepsy, pulmonary embolism, transverse myelitis, and thrombosis with thrombocytopenia. Age-sex standardised incidence rate ratios (SIR) were estimated to compare post-COVID-19 to pre-pandemic rates in each of the databases. Findings: Substantial heterogeneity by age was seen for AESI rates, with some clearly increasing with age but others following the opposite trend. Similarly, differences were also observed across databases for same health outcome and age-sex strata. All studied AESIs appeared consistently more common in the post-COVID-19 compared to the historical cohorts, with related meta-analytic SIRs ranging from 1.32 (1.05 to 1.66) for narcolepsy to 11.70 (10.10 to 13.70) for pulmonary embolism. Interpretation: Our findings suggest all AESIs are more common after COVID-19 than in the general population. Thromboembolic events were particularly common, and over 10-fold more so. More research is needed to contextualise post-COVID-19 complications in the longer term. Funding: None.
    Keywords COVID-19 ; Observational research ; OMOP CDM ; Adverse events of special interest ; Medicine (General) ; R5-920
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network.

    Qiong Wang / Jenna M Reps / Kristin Feeney Kostka / Patrick B Ryan / Yuhui Zou / Erica A Voss / Peter R Rijnbeek / RuiJun Chen / Gowtham A Rao / Henry Morgan Stewart / Andrew E Williams / Ross D Williams / Mui Van Zandt / Thomas Falconer / Margarita Fernandez-Chas / Rohit Vashisht / Stephen R Pfohl / Nigam H Shah / Suranga N Kasthurirathne /
    Seng Chan You / Qing Jiang / Christian Reich / Yi Zhou

    PLoS ONE, Vol 15, Iss 1, p e

    2020  Volume 0226718

    Abstract: Background and purpose Hemorrhagic transformation (HT) after cerebral infarction is a complex and multifactorial phenomenon in the acute stage of ischemic stroke, and often results in a poor prognosis. Thus, identifying risk factors and making an early ... ...

    Abstract Background and purpose Hemorrhagic transformation (HT) after cerebral infarction is a complex and multifactorial phenomenon in the acute stage of ischemic stroke, and often results in a poor prognosis. Thus, identifying risk factors and making an early prediction of HT in acute cerebral infarction contributes not only to the selections of therapeutic regimen but also, more importantly, to the improvement of prognosis of acute cerebral infarction. The purpose of this study was to develop and validate a model to predict a patient's risk of HT within 30 days of initial ischemic stroke. Methods We utilized a retrospective multicenter observational cohort study design to develop a Lasso Logistic Regression prediction model with a large, US Electronic Health Record dataset which structured to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). To examine clinical transportability, the model was externally validated across 10 additional real-world healthcare datasets include EHR records for patients from America, Europe and Asia. Results In the database the model was developed, the target population cohort contained 621,178 patients with ischemic stroke, of which 5,624 patients had HT within 30 days following initial ischemic stroke. 612 risk predictors, including the distance a patient travels in an ambulance to get to care for a HT, were identified. An area under the receiver operating characteristic curve (AUC) of 0.75 was achieved in the internal validation of the risk model. External validation was performed across 10 databases totaling 5,515,508 patients with ischemic stroke, of which 86,401 patients had HT within 30 days following initial ischemic stroke. The mean external AUC was 0.71 and ranged between 0.60-0.78. Conclusions A HT prognostic predict model was developed with Lasso Logistic Regression based on routinely collected EMR data. This model can identify patients who have a higher risk of HT than the population average with an AUC of 0.78. It shows the OMOP CDM is an ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Seasonal variation of the effect of extremely diluted agitated gibberellic acid (10-30) on wheat stalk growth ââ‚“ a multi researcher study

    Waltraud Scherer-Pongratz / Jürgen Hofäcker / Harald Lothaller / Andrea Pfleger / Karin Thieves / Anna Maria Hartmann / Thomas Reischl / Wolfgang Matzer / Christian Reich / Peter Christian Endler

    International Journal of High Dilution Research, Vol 10, Iss 36, Pp 263-

    2011  Volume 264

    Abstract: Control experiments were performed at different seasons of the year as a follow-up to pilot experiments [1] where a homeopathic high dilution of gibberellic acid had influenced growth in a wheat bio assay (7 days). Grains of winter wheat (Triticum ... ...

    Abstract Control experiments were performed at different seasons of the year as a follow-up to pilot experiments [1] where a homeopathic high dilution of gibberellic acid had influenced growth in a wheat bio assay (7 days). Grains of winter wheat (Triticum aestivum, Capo variety) were observed under the influence of extremely diluted gibberellic acid (10-30) prepared by stepwise dilution and agitation according to a protocol derived from homeopathy (ââ‚Å“G30xââ‚Â). Analogously prepared water was used for control (ââ‚Å“W30xââ‚Â). Following up on 5 pilot experiments (4 in autumn 2007, 1 in spring 2008), 10 experiments were performed (5 in autumn 2008 or 2009 and 5 in winter 2009 or 2010) with a total of 9 experiments in autumn season (5 researchers, about 9,000 grains), and 6 in winter/spring (4 researchers, about 6,000 grains). Germination rates after 7 days were slightly higher for the autumn experiments (96.1%) than for the winter/spring experiments (94.8%) (p > 0,05), with a non significant trend of more seedlings having germinated in the verum group in the autumn experiments (p > 0,05). All of the 9 autumn experiments (i.e. pilot as well as repetition experiments) showed less stalk growth in the verum group (statistically significant with p < 0.01 in 4, with p < 0.05 in 3 cases, trend in 2 cases). Mean stalk lengths (mm) were 46.97 + 20.50 for the verum group and 50.66 + 19.77 for control (mean + S.D.) at grain level (N = 4,440 per group) and + 3.87 and + 3.38 (+ S.D.) respectively at dish level (217 cohorts of 20 or 25 grains per treatment group). In other words, verum stalk length (92.72%) was 7.28% smaller than control stalk length (100%). The effect size (D means : S.D.), calculated on the basis of dishes, was high (d = 1.02). In contrast, no reliable effect was found in experiments performed in winter/spring (less stalk growth in the verum group in one case, no difference in 2 cases, and more growth in 3 cases). Overall verum stalk length (103.64%) was slightly greater than control stalk length (100%). The effect size, however, was small (d = 0.45). The new data are in line with the 2007 findings, i.e. confirm that gibberellic acid 30x does influence stalk growth.
    Keywords Medicine (General) ; R5-920 ; Medicine ; R ; DOAJ:Medicine (General) ; DOAJ:Health Sciences
    Subject code 590
    Language English
    Publishing date 2011-09-01T00:00:00Z
    Publisher Universidade Estadual Paulista
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Heterogeneity and temporal variation in the management of COVID-19

    Albert Prats-Uribe / Anthony G. Sena / Lana Yin Hui Lai / Waheed-Ul-Rahman Ahmed / Heba Alghoul / Osaid Alser / Thamir M Alshammari / Carlos Areia / William Carter / Paula Casajust / Dalia Dawoud / Asieh Golozar / Jitendra Jonnagaddala / Paras Mehta / Gong Menchung / Daniel R Morales / Fredrik Nyberg / Jose D Posada / Martina Recalde /
    Elena Roel / Karishma Shah / Nigam Shah / Lisa M Schilling / Vignesh Subbian / David Vizcaya / Andrew Williams / Lin Zhang / Ying Zhang / Hong Zhu / Li Liu / Peter Rijnbeek / George Hripcsak / Jennifer C.E Lane / Edward Burn / Christian Reich / Marc A Suchard / Talita Duarte-Salles / Kristin Kostka / Patrick B Ryan / Daniel Prieto-Alhambra

    a multinational drug utilization study including 71,921 hospitalized patients from China, South Korea, Spain, and the United States of America

    2020  

    Abstract: Objectives: A plethora of medicines have been repurposed or used as adjunctive therapies for COVID-19. We characterized the utilization of medicines as prescribed in routine practice amongst patients hospitalized for COVID-19 in South Korea, China, Spain, ...

    Abstract Objectives: A plethora of medicines have been repurposed or used as adjunctive therapies for COVID-19. We characterized the utilization of medicines as prescribed in routine practice amongst patients hospitalized for COVID-19 in South Korea, China, Spain, and the USA. Design: International network cohort Setting: Hospital electronic health records from Columbia University Irving Medical Centre (NYC, USA), Stanford (CA, USA), Tufts (MA, USA), Premier (USA), Optum EHR (USA), department of veterans affairs (USA), NFHCRD (Honghu, China) and HM Hospitals (Spain); and nationwide claims from HIRA (South Korea) Participants: patients hospitalized for COVID-19 from January to June 2020 Main outcome measures: Prescription/dispensation of any medicine on or 30 days after hospital admission date Analyses: Number and percentage of users overall and over time Results: 71,921 people were included: 304 from China, 2,089 from Spain, 7,599 from South Korea, and 61,929 from the USA. A total of 3,455 medicines were identified. Common repurposed medicines included hydroxychloroquine (<2% in NFHCRD to 85.4% in HM), azithromycin (4.9% in NFHCRD to 56.5% in HM), lopinavir/ritonavir (<3% in all US but 34.9% in HIRA and 56.5% in HM), and umifenovir (0% in all except 78.3% in NFHCRD). Adjunctive medicines were used with great variability, with the ten most used treatments being (in descending order): bemiparin, enoxaparin, heparin, ceftriaxone, aspirin, vitamin D, famotidine, vitamin C, dexamethasone, and metformin. Hydroxychloroquine and azithromycin increased rapidly in use in March-April but declined steeply in May-June. Conclusions: Multiple medicines were used in the first months of COVID-19 pandemic, with substantial geographic and temporal variation. Hydroxychloroquine, azithromycin, lopinavir-ritonavir, and umifenovir (in China only) were the most prescribed repurposed medicines. Antithrombotics, antibiotics, H2 receptor antagonists and corticosteroids were often used as adjunctive treatments. Research is needed on the comparative risk and benefit of these treatments in the management of COVID-19.
    Keywords COVID-19 ; Electronic health records ; Hydroxychloroquine ; Lopinavir/Ritonavir ; Umifenovir ; Azithromycin ; covid19
    Subject code 950
    Publishing date 2020-09-25
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Risk of depression, suicidal ideation, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis

    Jennifer C.E Lane / James Weaver / Kristin Kostka / Talita Duarte-Salles / Maria Tereza F Abrahao / Heba Alghoul / Osaid Alser / Thamir M Alshammari / Carlos Areia / Juan M. Banda / Patricia Biedermann / Edward Burn / Paula Casajust / Kristina Fišter / Jill Hardin / Laura Hester / George Hripcsak / Benjamin Skov Kaas-Hansen / Sajan Khosla /
    Spyros Kolovos / Kristine E. Lynch / Rupa Makadia / Paras P. Mehta / Daniel R Morales / Henry Morgan-Stewart / Mees Mosseveld / Danielle Newby / Fredrik Nyberg / Anna Ostropolets / Rae Woong Park / Albert Prats-Uribe / Gowtham A. Rao / Christian Reich / Peter Rijnbeek / Anthony G. Sena / Azza Shoaibi / Matthew Spotnitz / Vignesh Subbian / Marc A Suchard / David Vizcaya / Haini Wen / Marcel de Wilde / Junqing Xie / Seng Chan You / Lin Zhang / Simon Lovestone / Patrick B Ryan / Daniel Prieto-Alhambra

    a multi-national network cohort study

    2020  

    Abstract: Objectives Concern has been raised in the rheumatological community regarding recent regulatory warnings that hydroxychloroquine used in the COVID-19 pandemic could cause acute psychiatric events. We aimed to study whether there is risk of incident ... ...

    Abstract Objectives Concern has been raised in the rheumatological community regarding recent regulatory warnings that hydroxychloroquine used in the COVID-19 pandemic could cause acute psychiatric events. We aimed to study whether there is risk of incident depression, suicidal ideation, or psychosis associated with hydroxychloroquine as used for rheumatoid arthritis (RA). Methods New user cohort study using claims and electronic medical records from 10 sources and 3 countries (Germany, UK and US). RA patients aged 18+ and initiating hydroxychloroquine were compared to those initiating sulfasalazine (active comparator) and followed up in the short (30-day) and long term (on treatment). Study outcomes included depression, suicide/suicidal ideation, and hospitalization for psychosis. Propensity score stratification and calibration using negative control outcomes were used to address confounding. Cox models were fitted to estimate database-specific calibrated hazard ratios (HR), with estimates pooled where I2<40%. Results 918,144 and 290,383 users of hydroxychloroquine and sulfasalazine, respectively, were included. No consistent risk of psychiatric events was observed with short-term hydroxychloroquine (compared to sulfasalazine) use, with meta-analytic HRs of 0.96 [0.79-1.16] for depression, 0.94 [0.49-1.77] for suicide/suicidal ideation, and 1.03 [0.66-1.60] for psychosis. No consistent long-term risk was seen, with meta-analytic HRs 0.94 [0.71-1.26] for depression, 0.77 [0.56-1.07] for suicide/suicidal ideation, and 0.99 [0.72-1.35] for psychosis. Conclusions Hydroxychloroquine as used to treat RA does not appear to increase the risk of depression, suicide/suicidal ideation, or psychosis compared to sulfasalazine. No effects were seen in the short or long term. Use at higher dose or for different indications needs further investigation.
    Keywords COVID-19 ; Hydroxychloroquine ; Safety ; Rheumatoid Arthritis ; Psychosis ; Depression ; Sulfasalazine ; Risk ; covid19
    Subject code 310
    Publishing date 2020-08-07
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Clinical characteristics, symptoms, management and health outcomes in 8,598 pregnant women diagnosed with COVID-19 compared to 27,510 with seasonal influenza in France, Spain and the US

    Lana Yin Hui Lai / Asieh Golozar / Anthony Sena / Andrea V. Margulis / Nuria Haro / Paula Casajust / Neus Valveny / Albert Prats-Uribe / Evan P. Minty / Waheed-Ul-Rahman Ahmed / Thamir M Alshammari / Daniel R. Morales / Heba Alghoul / Osaid Alser / Dalia Dawoud / Lin Zhang / Jose D. Posada / Nigam H. Shah / Clair Blacketer /
    Carlos Areia / Vignesh Subbian / Fredrik Nyberg / Jennifer C E Lane / Marc A Suchard / Mengchun Gong / Martina Recalde / Jitendra Jonnagaddala / Karishma Shah / Elena Roel / David Vizcaya / Stephen Fortin / Ru-fong Joanne Cheng / Christian Reich / George Hripcsak / Peter Rijnbeek / Patrick Ryan / Kristin Kostka / Talita Duarte-Salles / Daniel Prieto-Alhambra

    a network cohort analysis

    2020  

    Abstract: OBJECTIVES To describe comorbidities, symptoms at presentation, medication use, and 30-day outcomes after a diagnosis of COVID-19 in pregnant women, in comparison to pregnant women with influenza. DESIGN Multinational network cohort SETTING A total of 6 ... ...

    Abstract OBJECTIVES To describe comorbidities, symptoms at presentation, medication use, and 30-day outcomes after a diagnosis of COVID-19 in pregnant women, in comparison to pregnant women with influenza. DESIGN Multinational network cohort SETTING A total of 6 databases consisting of electronic medical records and claims data from France, Spain, and the United States. PARTICIPANTS Pregnant women with ≥ 1 year in contributing databases, diagnosed and/or tested positive, or hospitalized with COVID-19. The influenza cohort was derived from the 2017-2018 influenza season. OUTCOMES Baseline patient characteristics, comorbidities and presenting symptoms; 30-day inpatient drug utilization, maternal complications and pregnancy-related outcomes following diagnosis/hospitalization. RESULTS 8,598 women diagnosed (2,031 hospitalized) with COVID-19 were included. Hospitalized women had, compared to those diagnosed, a higher prevalence sof pre-existing comorbidities including renal impairment (2.2% diagnosed vs 5.1% hospitalized) and anemia (15.5% diagnosed vs 21.3% hospitalized). The ten most common inpatient treatments were systemic corticosteroids (29.6%), enoxaparin (24.0%), immunoglobulins (21.4%), famotidine (20.9%), azithromycin (18.1%), heparin (15.8%), ceftriaxone (7.9%), aspirin (7.0%), hydroxychloroquine (5.4%) and amoxicillin (3.5%). Compared to 27,510 women with influenza, dyspnea and anosmia were more prevalent in those with COVID-19. Women with COVID-19 had higher frequency of cesarean-section (4.4% vs 3.1%), preterm delivery (0.9% vs 0.5%), and poorer maternal outcomes: pneumonia (12.0% vs 2.7%), ARDS (4.0% vs 0.3%) and sepsis (2.1% vs 0.7%). COVID-19 fatality was negligible (N<5 in each database respectively). CONCLUSIONS Comorbidities that were more prevalent with COVID-19 hospitalization (compared to COVID-19 diagnosed) in pregnancy included renal impairment and anemia. Multiple medications were used to treat pregnant women hospitalized with COVID-19, some with little evidence of benefit. Anosmia and dyspnea were indicative symptoms of COVID-19 in pregnancy compared to influenza, and may aid differential diagnosis. Despite low fatality, pregnancy and maternal outcomes were worse in COVID-19 than influenza.
    Keywords COVID-19 ; Pregnancy ; Comorbidities ; Influenza ; Medication ; Electronic health records ; covid19
    Subject code 150 ; 610
    Publishing date 2020-10-14
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Seasonal Variation of the Effect of Extremely Diluted Agitated Gibberellic Acid (10e-30) on Wheat Stalk Growth

    Peter Christian Endler / Wolfgang Matzer / Christian Reich / Thomas Reischl / Anna Maria Hartmann / Karin Thieves / Andrea Pfleger / Jürgen Hofäcker / Harald Lothaller / Waltraud Scherer-Pongratz

    The Scientific World Journal, Vol 11, Pp 1667-

    A Multiresearcher Study

    2011  Volume 1678

    Abstract: The influence of a homeopathic high dilution of gibberellic acid on wheat growth was studied at different seasons of the year. Seedlings were allowed to develop under standardized conditions for 7 days; plants were harvested and stalk lengths were ... ...

    Abstract The influence of a homeopathic high dilution of gibberellic acid on wheat growth was studied at different seasons of the year. Seedlings were allowed to develop under standardized conditions for 7 days; plants were harvested and stalk lengths were measured. The data obtained confirm previous findings, that ultrahigh diluted potentized gibberellic acid affects stalk growth. Furthermore, the outcome of the study suggests that experiments utilizing the bioassay presented should best be performed in autumn season. In winter and spring, respectively, no reliable effects were found.
    Keywords Technology ; T ; Medicine ; R ; Science ; Q
    Language English
    Publishing date 2011-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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