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Thrombotic and hemorrhagic complications of COVID-19 in adults hospitalized in high-income countries compared with those in adults hospitalized in low- and middle-income countries in an international registry

Griffee, Matthew J. ; Bozza, Patricia T. ; Reyes, Luis Felipe ; [et al.]

Elsevier BV ; 2023

In: Research and Practice in Thrombosis and Haemostasis Vol. 7, No. 5 ( 2023-07), p. 102142-

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In: Research and Practice in Thrombosis and Haemostasis, Elsevier BV, Vol. 7, No. 5 ( 2023-07), p. 102142-

Type of Medium: Online Resource

ISSN: 2475-0379

URL: Article

DOI: 10.1016/j.rpth.2023.102142

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 2901840-7

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The value of open-source clinical science in pandemic response: lessons from ISARIC

Abbas, Ali ; Abdukahil, Sheryl Ann ; Abdulkadir, Nurul Najmee ; [et al.]

Elsevier BV ; 2021

In: The Lancet Infectious Diseases Vol. 21, No. 12 ( 2021-12), p. 1623-1624

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In: The Lancet Infectious Diseases, Elsevier BV, Vol. 21, No. 12 ( 2021-12), p. 1623-1624

Type of Medium: Online Resource

ISSN: 1473-3099

URL: Article

DOI: 10.1016/S1473-3099(21)00565-X

Language: English

Publisher: Elsevier BV

Publication Date: 2021

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ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

ISARIC Clinical Characterization Group ; Abbas, Ali ; Abdukahil, Sheryl Ann ; [et al.]

Springer Science and Business Media LLC ; 2022

In: Scientific Data Vol. 9, No. 1 ( 2022-07-30)

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In: Scientific Data, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2022-07-30)

Abstract: The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.

Type of Medium: Online Resource

ISSN: 2052-4463

URL: Article

DOI: 10.1038/s41597-022-01534-9

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2022

detail.hit.zdb_id: 2775191-0

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Neurological manifestations of COVID-19 in adults and children

Cho, Sung-Min ; White, Nicole ; Premraj, Lavienraj ; [et al.]

Oxford University Press (OUP) ; 2023

In: Brain Vol. 146, No. 4 ( 2023-04-19), p. 1648-1661

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In: Brain, Oxford University Press (OUP), Vol. 146, No. 4 ( 2023-04-19), p. 1648-1661

Abstract: Different neurological manifestations of coronavirus disease 2019 (COVID-19) in adults and children and their impact have not been well characterized. We aimed to determine the prevalence of neurological manifestations and in-hospital complications among hospitalized COVID-19 patients and ascertain differences between adults and children. We conducted a prospective multicentre observational study using the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) cohort across 1507 sites worldwide from 30 January 2020 to 25 May 2021. Analyses of neurological manifestations and neurological complications considered unadjusted prevalence estimates for predefined patient subgroups, and adjusted estimates as a function of patient age and time of hospitalization using generalized linear models. Overall, 161 239 patients (158 267 adults; 2972 children) hospitalized with COVID-19 and assessed for neurological manifestations and complications were included. In adults and children, the most frequent neurological manifestations at admission were fatigue (adults: 37.4%; children: 20.4%), altered consciousness (20.9%; 6.8%), myalgia (16.9%; 7.6%), dysgeusia (7.4%; 1.9%), anosmia (6.0%; 2.2%) and seizure (1.1%; 5.2%). In adults, the most frequent in-hospital neurological complications were stroke (1.5%), seizure (1%) and CNS infection (0.2%). Each occurred more frequently in intensive care unit (ICU) than in non-ICU patients. In children, seizure was the only neurological complication to occur more frequently in ICU versus non-ICU (7.1% versus 2.3%, P & lt; 0.001). Stroke prevalence increased with increasing age, while CNS infection and seizure steadily decreased with age. There was a dramatic decrease in stroke over time during the pandemic. Hypertension, chronic neurological disease and the use of extracorporeal membrane oxygenation were associated with increased risk of stroke. Altered consciousness was associated with CNS infection, seizure and stroke. All in-hospital neurological complications were associated with increased odds of death. The likelihood of death rose with increasing age, especially after 25 years of age. In conclusion, adults and children have different neurological manifestations and in-hospital complications associated with COVID-19. Stroke risk increased with increasing age, while CNS infection and seizure risk decreased with age.

Type of Medium: Online Resource

ISSN: 0006-8950 , 1460-2156

URL: Article

DOI: 10.1093/brain/awac332

RVK:

XA 10000

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2023

detail.hit.zdb_id: 1474117-9

SSG: 12

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Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Kartsonaki, Christiana ; Baillie, J Kenneth ; Barrio, Noelia García ; [et al.]

Oxford University Press (OUP) ; 2023

In: International Journal of Epidemiology Vol. 52, No. 2 ( 2023-04-19), p. 355-376

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In: International Journal of Epidemiology, Oxford University Press (OUP), Vol. 52, No. 2 ( 2023-04-19), p. 355-376

Abstract: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death.

Type of Medium: Online Resource

ISSN: 0300-5771 , 1464-3685

URL: Article

DOI: 10.1093/ije/dyad012

RVK:

XF 4100

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2023

detail.hit.zdb_id: 1494592-7

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