D-Dimer Test Can Still Help Rule Out Pulmonary Embolisms in Hospitalized COVID-19 Patients
|
By HospiMedica International staff writers Posted on 27 Oct 2021 |

The D-dimer test can still be helpful in ruling out pulmonary embolisms in hospitalized COVID-19 patients, according to a new study.
Researchers at the University of South Florida Health Morsani College of Medicine (USF Health; Tampa, FL, USA) conducted a single-center, diagnostic study to investigate how well D-dimer testing performed at excluding pulmonary embolism in patients hospitalized with COVID-19. They found that the screening blood test originally validated in seriously ill patients without COVID-19 is still clinically useful for ruling out pulmonary embolism in patients hospitalized with the coronavirus.
Pulmonary embolisms occur when blood clots that form in another part of the body (often the leg), travel through the bloodstream, and lodge in the blood vessels of the lung, decreasing blood flow and causing low oxygen levels. Research indicates COVID-19 patients are three to 10 times more likely to develop pulmonary embolisms than other hospitalized patients, even when they are not as seriously ill or immobilized. Scientists are still investigating why, but it appears the COVID-19 virus may create a cellular environment that promotes clotting by making the inside of blood vessels uneven, irritated, and prone to microtears.
Doctors who suspect pulmonary embolisms routinely rely on widely available D-dimer screening to rule out the potentially life-threatening blood clotting disorder – most commonly in surgical patients immobilized for long periods and patients admitted to intensive care units. D-dimer is a simple blood test that measures protein fragments of blood clots floating in the bloodstream. D-dimer levels, normally undetectable or detectable at very low levels, rise sharply when the body is breaking down the clots. A negative D-dimer test (one that rules out pulmonary embolism) can help patients avoid more expensive, invasive diagnostic tests, like a computed tomography pulmonary angiogram, or CTPA.
The USF Health researchers wondered if the increased risk for blood clotting in COVID-19 patients, and uncertainty of diverse D-dimer values found in earlier smaller studies, reduced the existing screening tool’s ability to correctly rule out pulmonary embolism in COVID patients. The conventional thinking was that D-dimer levels would almost always be high in COVID-19 patients, therefore the test as originally validated (in non-COVID patients) would not be accurate at differentiating COVID patients without clots.
The restrospective study looked at the records of 1,541 patients hospitalized with COVID-19 at Tampa General Hospital from Jan. 1, 2020, to Feb. 5, 2021. They compared plasma D-dimer concentrations with CTPA, the criterion for diagnosing pulmonary embolism, in 287 of those patients. All COVID-19 patients with CTPA evidence of pulmonary embolism had D-dimer levels of 0.05 μg/mL or greater, as did the majority (91.2%) of patients without CTPA evidence of pulmonary embolism. (Concentrations of 0.05 μg/mL and higher are considered positive for pulmonary embolism, while anything below that D-dimer level is negative). The researchers also analyzed whether changing the cutoff levels defining positive or negative D-dimer test results specifically for the COVID patient population might improve the test’s performance.
Within the limitations of this single-center study, setting higher D-dimer thresholds was associated with improved specificity – but at “the cost of an increased false-negative rate that could be associated with an unacceptable patient safety risk,” the study authors wrote. A false-negative result means that the test does not detect a pulmonary embolism when the serious blood clotting problem is very likely present. While clinicians must maintain heightened suspicion for pulmonary embolisms when evaluating symptoms in COVID-19 patients, the overall USF Health study results indicate that the currently available D-dimer test adequately screens for the likelihood of pulmonary embolism in hospitalized COVID patients.
“Our study found that clinicians can feel confident interpreting the D-dimer levels the same in COVID patients as they do in every other patient; we don’t need a special (different) value for COVID patients,” said principal investigator Asa Oxner, MD, associate professor and vice chair of USF Health Internal Medicine. “So, in hospitalized COVID patients, we can appropriately rule out a pulmonary embolism if d-dimer levels are low.”
“The mechanisms of developing pulmonary embolisms may differ for COVID patients, but the resulting physiology is the same for all patients. The little fragments of (undissolved) blood clots are still detectable with D-dimer,” said Oxner.
Related Links:
USF Health
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 channelAI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read more
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read moreCritical Care
view channel
Eye Imaging AI Identifies Elevated Cardiovascular Risk
Many adults at risk for atherosclerotic cardiovascular disease are not identified until they undergo formal primary care assessment. Delayed risk recognition can postpone initiation of statins and lifestyle... Read more
Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... Read moreSurgical Techniques
view channel
Fiber-Form Bone Graft Expands Intraoperative Options for Spinal Fusion
Spinal and orthopedic fusion procedures often require bone graft materials that handle predictably and support bone formation. Surgeons face added complexity in difficult anatomy and challenging fusion environments.... Read more
Ultrasound‑Aided Catheter Treatment Cuts Early Collapse in Pulmonary Embolism
Acute pulmonary embolism can cause rapid hemodynamic deterioration and early death in hospitalized and emergency patients. Systemic thrombolysis can dissolve clots but is limited by a high risk of major... 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
Voice-Driven AI System Enables Structured GI Procedure Documentation
Documentation during gastrointestinal (GI) procedures often competes with real-time clinical decision-making and imposes a significant cognitive burden on physicians. Manual data entry and post-procedure... Read more
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel








