Evidence map›Paper›PMID 35167969›Full record

Observational studyInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Reduced ADAMTS13 Activity in Correlation with Pathophysiology, Severity, and Outcome of COVID-19: A Retrospective Observational Study.

Wael Hafez, Mohamad Azzam Ziade, Arun Arya, Husam Saleh, Sara Ali, Srinivasa Raghu Rao, Osman Fdl Alla, Mohamed Ali, Mouhamad Al Zouhbi, Ahmed Abdelrahman

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Carriers ofViruses · 2022
    Article
  6. Impact of Concomitant Thrombotic Thrombocytopenic Purpura on COVID-19 Mortality and Morbidity: A Nationwide Inpatient Sample Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Wael HafezNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates; Medical Research Division, Department of Internal Medicine, The National Research Centre, 33 El Buhouth St, Ad Doqi, Dokki, Cairo Governorate 12622, Egypt. Electronic address: waeelhafez@yahoo.com.
Mohamad Azzam ZiadeNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Arun AryaNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Husam SalehNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Sara AliNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Srinivasa Raghu RaoNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Osman Fdl AllaNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Mohamed AliNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Mouhamad Al ZouhbiNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates.
Ahmed AbdelrahmanNMC Royal Hospital, 16th Street, Khalifa City, Abu Dhabi, United Arab Emirates; Internal Medicine Department, Zagazig School of medicine, Zagazig, Egypt.
Shaikh Khalifa Medical City · AEZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow ADAMTS13 activity has been suggested to be an interplaying factor in the pathogenesis of COVID-19, considering that it is a thromboinflammatory disease with high risk of microthrombosis.

objectivesThe study aimed to explore the correlation between ADAMTS13 activity and the pathophysiological pathway of COVID-19.

methodsWe carried out a retrospective observational study of 87 patients with COVID-19 in NMC Royal Hospital, Abu Dhabi, UAE. ADAMTS13 activity was measured and compared with patients' characteristics and clinical outcomes.

resultsLow ADAMTS13 activity was associated with pneumonia (p = 0.007), severity of COVID-19 (p <0.001), and mechanical ventilation rates (p = 0.018). Death was more frequently observed among patients (5 patients) with low ADAMTS13 activity compared with normal activity (1 patient), as well as inflammatory markers. Decreased ADAMTS13 activity increased with the risk of pneumonia, severity of COVID-19, need for mechanical ventilation, and use of anticoagulants ([OR = 4.75, 95% CI 1.54-18.02, p = 0.011], [OR = 6.50, 95% CI 2.57-17.74; p <0.001], [OR = 4.10, 95% CI 1.29-15.82; p = 0.024], [OR = 8.00, 95% CI 3.13-22.16; p <0.001], respectively). The low ADAMTS13 activity group had a slightly longer time to viral clearance than the normal ADAMTS13 activity group, but it was not statistically significant (20 days, 95% CI 16-27 days vs 17 days, 95% CI 13-22 days; p = 0.08; Log rank = 3.1).

conclusionsLow ADAMTS13 activity has been linked to pneumonia, COVID-19 severity, use of anticoagulants, and need for mechanical ventilation but not to mortality. We propose rADAMTS13 as a novel treatment for severe COVID-19.

Indexed as

COVID-19ThrombosisAnticoagulantsHumansRespiration, ArtificialRetrospective StudiesSARS-CoV-2AnticoagulantsADAMTS13AnticoagulationCOVID-19Cytokine stormPneumoniaSARS-CoV-2Thrombosis

Identifiers

PMID35167969
PMCPMC8839807
OpenAlexW4211044454

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.