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UnknownImplementation of Recommendations on the Use of Corticosteroids in Severe COVID-19.

Importance

Research diversity and representativeness are paramount in building trust, generating valid biomedical knowledge, and possibly in implementing clinical guidelines.

Objectives

To compare variations over time and across World Health Organization (WHO) geographic regions of co...
S-EPMC10751594 | biostudies-literature
UnknownRespiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study.

Background

Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and ri...
S-EPMC9469080 | biostudies-literature
UnknownTen months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort.

Background

There is potentially considerable variation in the nature and duration of the care provided to hospitalised patients during an infectious disease epidemic or pandemic. Improvements in care and clinician confidence may shorten the time spent as an inpatient, or the need for admissi...
S-EPMC8791638 | biostudies-literature
UnknownThe value of open-source clinical science in pandemic response: lessons from ISARIC.
Not available
S-EPMC8489876 | biostudies-literature
UnknownAt-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important t...
S-EPMC11252333 | biostudies-literature
UnknownCharacteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19.

Background

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.

Method...

S-EPMC10114094 | biostudies-literature
UnknownThrombotic 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.

Background

COVID-19 has been associated with a broad range of thromboembolic, ischemic, and hemorrhagic complications (coagulopathy complications). Most studies have focused on patients with severe disease from high-income countries (HICs).

Objectives

The main aims were to compare the...
S-EPMC10439444 | biostudies-literature
UnknownAssociation of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19.

Introduction

Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that A...
S-EPMC10219675 | biostudies-literature
UnknownISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19.
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 h...
S-EPMC9339000 | biostudies-literature
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