We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App





SARS-CoV-2 Variants Could Help in Predicting COVID-19 Patient Outcomes

By HospiMedica International staff writers
Posted on 04 May 2021
Print article
Illustration
Illustration
Scientists who used genomic sequencing to track SARS-CoV-2 as it mutated have found that initial strains and subgroups of virus strains (called clades) were associated with higher mortality while newer variants were associated with lower hospitalizations and deaths.

These findings by a multidisciplinary team of scientists at Case Western Reserve University (Cleveland, OH) and Cleveland Clinic (Cleveland, OH) could also help guide future studies to analyze how the newer variants impact patient outcomes as the virus continues to evolve.

To better understand how the earlier mutations and clades altered clinical outcomes, the team of researchers analyzed the RNA sequences of data from 302 patients with COVID-19 during the first wave of the pandemic in Northeast Ohio. These clinical samples were obtained from Cleveland Clinic’s COVID-19 registry, a collection of data from nearly 50,000 patients who had been tested for the disease. By sequencing each specimen against the initial strain of the virus discovered in Wuhan, the research team identified 488 unique mutations, correlating with six virus strains (clades Wuhan, S, L, V, G, GH).

Results revealed that during the initial six weeks of the pandemic in Cleveland, the early virus strains were well established and contributed to higher incidents of death from the disease. However, within weeks these early virus strains were outpaced by more transmissible strains that were associated with lower hospitalizations and increased patient survival even when hospitalized. The greatest diversity of COVID-19 strains occurred in the first weeks before community strategies to limit viral spread were established. It is likely that state and federal responses may have prevented continued introduction of new variants from outside the community, and thereby decreased overall mortality.

“This study offers a detailed description of how the different COVID-19 clades evolved and competed once they were brought to Cleveland,” said Brian Rubin, chair of Cleveland Clinic’s Robert J. Tomsich Pathology and Laboratory Medicine Institute. “The linkage of viral clades to outcomes is quite important and highlights the importance of viral genome sequencing to gain a deeper understanding of new diseases.”

“These findings offer greater insight into how COVID-19 infections significantly outpaced the rates of COVID-19 hospitalizations and deaths as the pandemic progressed,” said Frank Esper, a pediatric infectious disease physician at Cleveland Clinic Children’s who led the research collaborative. “The research also helps to validate how viral clades can play an important role in predicting patient outcomes.”

Related Links:
Case Western Reserve University
Cleveland Clinic


Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Mattress Replacement System
Carilex DualPlus
New
Fetal and Maternal Monitor
F9 Series

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.