Blood Test for Combined Measurements of WBCs and Biomarkers Can Predict COVID-19 Severity
|
By HospiMedica International staff writers Posted on 04 Oct 2021 |

Combined measurements of characteristics of white blood cells called granulocytes and well-known biomarkers in the blood of COVID-19 patients can predict the severity of the disease, according to a new study.
The study by researchers at the Karolinska Institutet (Stockholm, Sweden) aimed at providing a comprehensive overview of the immune response to SARS-CoV-2 in hospitalized patients with moderate or severe COVID-19. The findings which showed that COVID-19 disease severity seems to be affected by granulocytes, which are part of the innate immune system, could eventually contribute to more tailored treatments for COVID-19 patients.
Granulocytes are a family of white blood cells that include neutrophils, eosinophils and basophils. They are part of the so-called innate immune system, which is the body’s first line of defence against pathogens. There are many studies on how SARS-CoV-2 affects various components of the immune system, but there is still a lack of knowledge about the role of granulocytes in COVID-19.
In the latest study, the researchers investigated the characteristics of granulocytes in the blood during the early phase of SARS-CoV-2 infection in a total of 26 hospitalized patients with COVID-19. They also performed follow-up analyses four months after hospital discharge and compared these with analyses of healthy uninfected individuals. The study found that combined measurements of granulocyte characteristics and widely used biomarkers in the blood called C-reactive protein (CRP) and creatinine, could predict key clinical features such as respiratory function and multi-organ failure.
“Our study shows significantly altered characteristics of all granulocyte subsets in COVID-19 patients and this can be linked to the severity of the disease,” said lead author Magda Lourda, who is a researcher at the Department of Medicine, Huddinge, at Karolinska Institutet. “The finding needs to be taken with caution considering the limited size of our study cohort, but our hope is that these combined measurements can be used to predict the severity of the disease, resulting in more tailored treatments for COVID-19 patients.”
Related Links:
Karolinska Institutet
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
FDA-Cleared AI System Detects Sepsis Earlier and Reduces Mortality
Sepsis remains one of the deadliest complications for hospitalized patients, in part because its early signs overlap with other conditions. Each hour of delayed recognition measurably decreases survival,... Read moreFacial Image Analysis Tracks Biological Aging, Predicts Cancer Outcomes
Biological aging is the progressive loss of physiological function that may diverge from chronological age. In cancer care, clinicians need simple tools that reflect dynamic changes in patient resilience... Read moreCritical Care
view channel
AI Model Predicts 10-Year Stroke Risk from Standard ECG
Stroke remains a major cause of death and long-term disability worldwide. Clinicians need scalable tools to identify people who face sustained risk years before an event occurs. Existing clinical scores... Read more
Implantable Cytokine Device Enables Localized Immunotherapy for Ovarian Cancer
High-grade serous ovarian carcinoma, the most lethal form of ovarian cancer, often disseminates throughout the peritoneal cavity and resists standard therapies. Systemic interleukin-2 (IL-2) can activate... Read moreSurgical Techniques
view channel
Stretchable Bioelectronic Implant Lowers Blood Pressure in Preclinical Study
Hypertension, or high blood pressure, drives major cardiovascular morbidity and affects nearly half of adults in the United States. About one in ten patients develop drug‑resistant hypertension that persists... Read more
FDA-Cleared Nerve Stimulator Advances Intraoperative Peripheral Nerve Assessment
The Evala Nerve Stimulator from Epineuron (Mississauga, ON, Canada) is a handheld, intraoperative electrical stimulation system designed to provide surgeons with a rapid and accurate method for nerve identification... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
EHR-Integrated Screening Workflow Detects Cognitive Impairment at Admission
Cognitive impairment involves difficulties with thinking, learning, memory, and decision-making, and is more common in older adults. In U.S. hospitals, more than 40% of admitted older adults have dementia,... Read more
AI System Detects and Quantifies Chronic Subdural Hematoma
Viz.ai (San Francisco, CA, USA) announced a strategic commercialization collaboration with Johnson & Johnson (New Brunswick, NJ, USA) to expand access in the United States to the Viz Subdural solution... Read more
Continuous Monitoring Platform Detects Infection Risk Across Care Transitions
Patients leaving skilled nursing facilities often lose continuous physiologic monitoring, increasing the risk of undetected infection and delayed intervention. Nursing home residents are seven times more... Read more
Automated System Classifies and Tracks Cardiogenic Shock Across Hospital Settings
Cardiogenic shock remains a difficult, time-sensitive emergency, with delayed identification driving poor outcomes and persistently high mortality. Many cases go undocumented even at advanced stages, hindering... Read morePoint of Care
view channel
Point-of-Care Viscoelastic Testing System Supports Obstetric Bleeding Management
HemoSonics (Durham, NC, USA) announced on May 5, 2026 that the company's Quantra Hemostasis System for Obstetric Procedures won Silver in the 2026 Edison Awards in the Women’s Health and Reproductive Innovations... Read moreBusiness
view channel
Olympus Partnership Aims to Expand Access to Robot-Assisted Endoscopic Therapy
Olympus has signed an exclusive global distribution agreement with EndoRobotics Co., Ltd., under which robot-assisted technologies developed by EndoRobotics will be distributed worldwide as part of the... Read more








