First-Ever COVID-19 Severity Test to Triage Patients Quickly and Accurately
|
By HospiMedica International staff writers Posted on 27 Nov 2020 |

Image: AbioSCOPE (Photo courtesy of Abionic SA)
A new test offers medical criteria of COVID-19 severity and likelihood of clinical deterioration within minutes of analyzing a blood sample, allowing healthcare practitioners to decide whether COVID-19 patients should be assigned to general wards, intensive care units (ICUs) or be discharged from the hospital.
Abionic SA (Lausanne, Switzerland) has developed the cSOFA score (Covid Sequential Organ Failure Assessment), the first-ever test that measures the likelihood of clinical deterioration in COVID-19 patients, enabling triage and assignment to the general ward or ICU upon admission and during the patients’ hospital stay. A low score allows medical decisions to be made on safely discharging patients from the hospital or moving them from the ICU to the general ward, freeing up much-needed ICU and hospital capacities.
The cSOFA score is a further development from the already widespread SOFA1 score. The two scores correlate very well, although the cSOFA score is obtained much more quickly, taking only five minutes. Due to its speed, it can serve as a monitoring parameter during hospital stays in order to identify deterioration in COVID-19 patients before the presence of clear clinical signs. Using the cSOFA score, healthcare practitioners can make an informed decision on where and how to treat patients.
In order to obtain the cSOFA score, a 30 ul drop of capillary blood is sufficient. The blood sampling can be done already upon admission by a receptionist; medical training is not necessary. Within five minutes, a score is determined that serves as a base for a decision on assigning COVID-19 patients to general wards, ICUs or allowing them to recover at home. As a result of this triage, capacities in hospitals are protected and patients receive appropriate care.
The score has obtained the authorization to sell in Europe (CE mark) and relies on PSP (pancreatic stone protein), a novel biomarker that has already been clinically validated and marketed by Abionic. PSP is characterized by its diagnostic accuracy in predicting sepsis and/or multiple organ dysfunction in various types of critically ill patients. Data from 150+ COVID-19 patients from the first European wave of SARS-CoV-2 infections showed a strong link between PSP concentration and the degradation of these patients.
“COVID-19 patients may have an adverse clinical course that is not predictive and may require emergency management with transfers to intermediate and intensive care,” said Dr. François Ventura from the University Hospital of Geneva (HUG). “The cSOFA is a great tool to help predict these possible clinical deteriorations and to guide patients through the healthcare system, which is certainly very useful in these times of healthcare system overload.”
“Measuring COVID-19 severity and likelihood of clinical deterioration protects hospitals around the globe from preventable overload and makes sure patients are treated according to their needs,” said Dr. Nicolas Durand, CEO of Abionic. “Our research also indicates that modifications to the cSOFA score may be used as severity measures for other illnesses, such as flu, sepsis and other inflammatory disorders.”
Related Links:
Abionic SA
Abionic SA (Lausanne, Switzerland) has developed the cSOFA score (Covid Sequential Organ Failure Assessment), the first-ever test that measures the likelihood of clinical deterioration in COVID-19 patients, enabling triage and assignment to the general ward or ICU upon admission and during the patients’ hospital stay. A low score allows medical decisions to be made on safely discharging patients from the hospital or moving them from the ICU to the general ward, freeing up much-needed ICU and hospital capacities.
The cSOFA score is a further development from the already widespread SOFA1 score. The two scores correlate very well, although the cSOFA score is obtained much more quickly, taking only five minutes. Due to its speed, it can serve as a monitoring parameter during hospital stays in order to identify deterioration in COVID-19 patients before the presence of clear clinical signs. Using the cSOFA score, healthcare practitioners can make an informed decision on where and how to treat patients.
In order to obtain the cSOFA score, a 30 ul drop of capillary blood is sufficient. The blood sampling can be done already upon admission by a receptionist; medical training is not necessary. Within five minutes, a score is determined that serves as a base for a decision on assigning COVID-19 patients to general wards, ICUs or allowing them to recover at home. As a result of this triage, capacities in hospitals are protected and patients receive appropriate care.
The score has obtained the authorization to sell in Europe (CE mark) and relies on PSP (pancreatic stone protein), a novel biomarker that has already been clinically validated and marketed by Abionic. PSP is characterized by its diagnostic accuracy in predicting sepsis and/or multiple organ dysfunction in various types of critically ill patients. Data from 150+ COVID-19 patients from the first European wave of SARS-CoV-2 infections showed a strong link between PSP concentration and the degradation of these patients.
“COVID-19 patients may have an adverse clinical course that is not predictive and may require emergency management with transfers to intermediate and intensive care,” said Dr. François Ventura from the University Hospital of Geneva (HUG). “The cSOFA is a great tool to help predict these possible clinical deteriorations and to guide patients through the healthcare system, which is certainly very useful in these times of healthcare system overload.”
“Measuring COVID-19 severity and likelihood of clinical deterioration protects hospitals around the globe from preventable overload and makes sure patients are treated according to their needs,” said Dr. Nicolas Durand, CEO of Abionic. “Our research also indicates that modifications to the cSOFA score may be used as severity measures for other illnesses, such as flu, sepsis and other inflammatory disorders.”
Related Links:
Abionic SA
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 channelCollaborative AI System Improves Medical Diagnostic Accuracy
Hospitals face a persistent trade-off when deploying artificial intelligence for diagnosis. Broad “generalist” models handle many tasks but often lack disease-specific precision. Narrow “specialist” models... Read more
AI-Powered Brain-Body Interface Supports Movement and Sensation Recovery
Neurological injuries such as stroke and spinal cord trauma frequently leave patients with profound motor and sensory deficits that limit independence. Rehabilitation may restore some movement, but recovery... Read moreCritical Care
view channel
Simple Triage Protocol Reduces Emergency Department Length of Stay
Emergency department (ED) overcrowding prolongs care, raises costs, and places added strain on clinical teams. Many hospitals cannot readily add beds, staff, or space, yet still need to move patients efficiently... Read more
ECG-Based AI Detects Left Ventricular Dysfunction and Heart Failure
Left ventricular dysfunction and heart failure with preserved ejection fraction are important cardiac conditions that require accurate detection to support clinical decision-making and care planning.... Read moreSurgical Techniques
view channel
Combined Phage and Microbiota Therapy May Reduce Recurrent Urinary Tract Infections
Recurrent urinary tract infections (rUTIs) are frequent relapses of urinary infections that persist despite standard therapy. They increase morbidity, expose patients to repeated antibiotic courses, and... Read more
New AR Technology Provides Real-Time Guidance During ACL Surgery
Precision during arthroscopic procedures is critical, yet intra-articular orientation can be challenging, and technical errors may compromise outcomes. In anterior cruciate ligament reconstruction, tunnel... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
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 moreMedical Imaging
view channel
‘Local Brain Age’ AI Mapping Tool Reveals Patterns of Cognitive Impairment
Dementia care is hindered by the lack of precise tools to detect and track early neurodegeneration. Conventional brain age measures often compress complex, region-specific changes into a single value,... Read more
Rapid AI System Detects and Classifies Brain Tumor Subtypes on MRI
Brain tumors are a major cause of cancer mortality worldwide, with roughly a quarter of a million deaths each year. Early detection and accurate subtype classification on magnetic resonance imaging are... Read moreHealth IT
view channel
Short Digital Training Program Improves Motor Function in Parkinson’s Disease
Parkinson's disease causes motor symptoms that interfere with movement and daily activities. Drug treatment is standard care, yet additional approaches are needed to target motor control.... Read moreNew Cloud Platform Streamlines Capsule Endoscopy Workflow and Reporting
Capsule endoscopy programs depend on coordinated acquisition, review, and reporting to support gastrointestinal services. Managing these activities across practices and health systems requires reliable... Read morePoint of Care
view channel
New Brain Ultrasound Platform Enables Bedside Postoperative Imaging
Transporting postoperative patients for CT or MRI can create operational burdens, delays, and disruptions in care. Bedside visualization may help reduce transport demands, lower radiation exposure, and... Read more
Handheld Ultrasound Expands Point-of-Care Imaging Access in Brazil
Rapid access to diagnostic imaging is essential across hospitals, emergency departments, clinics, and municipal health systems, but large markets still face uneven availability, particularly in rural regions.... Read moreBusiness
view channel
AI Software Combines Nodule Detection and Diagnosis for Lung Cancer Screening
Lung cancer remains the leading cause of cancer mortality, and screening programs rely on computed tomography to identify disease earlier when curative treatment is more likely. High patient volumes and... Read more








