HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

Serious COVID-19 Patients Requiring Brain Imaging Face Higher Risk of Death, Finds Study

By HospiMedica International staff writers
Posted on 24 Dec 2020
Print article
Illustration
Illustration
Hospitalized COVID-19 patients with neurological problems serious enough to warrant brain imaging have a higher risk of dying, according to a new study.

These findings by researchers at Montefiore Health System (New York City, NY, USA) and Albert Einstein College of Medicine (New York City, NY, USA) have the potential to identify and focus treatment efforts on individuals most at risk and could decrease COVID-19 deaths.

The study looked at data from 4,711 COVID-19 patients who were admitted to Montefiore during the six-week period between March 1, 2020 and April 16, 2020. Of those patients, 581 (12%) had neurological problems serious enough to warrant brain imaging. These individuals were compared with 1,743 non-neurological COVID-19 patients of similar age and disease severity who were admitted during the same period. Among people who underwent brain imaging, 55 were diagnosed with stroke and 258 people exhibited confusion or altered thinking ability. Individuals with stroke were twice as likely to die (49% mortality) compared with their matched controls (24% mortality) - a statistically significant difference. People with confusion had a 40% mortality rate compared with 33% for their matched controls - also statistically significant. More than half the stroke patients in the study did not have hypertension or other underlying risk factors for stroke.

“This study is the first to show that the presence of neurological symptoms, particularly stroke and confused or altered thinking, may indicate a more serious course of illness, even when pulmonary problems aren’t severe,” said David Altschul, M.D., chief of the division of neurovascular surgery at Einstein and Montefiore, and associate professor in the Leo M. Davidoff Department of Neurological Surgery and of radiology at Einstein. “Hospitals can use this knowledge to prioritize treatment and, hopefully, save more lives during this pandemic.”

Related Links:
Montefiore Health System
Albert Einstein College of Medicine


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
12-Channel ECG
CM1200B
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Ultrasound System
Voluson Signature 18

Print article

Channels

Critical Care

view channel
Image: The new risk assessment tool determines patient-specific risks of developing unfavorable outcomes with heart failure (Photo courtesy of 123RF)

Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients

Heart failure is a serious condition where the heart cannot pump sufficient blood to meet the body's needs, leading to symptoms like fatigue, weakness, and swelling in the legs and feet, and it can ultimately... Read more

Surgical Techniques

view channel
Image: The Nami S miniaturized ultrasonic scalpel enables faster and safer RAS (Photo courtesy of Nami Surgical)

Miniaturized Ultrasonic Scalpel Enables Faster and Safer Robotic-Assisted Surgery

Robot-assisted surgery (RAS) has gained significant popularity in recent years and is now extensively used across various surgical fields such as urology, gynecology, and cardiology. These surgeries, performed... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... 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 Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more