Evidence map›Paper›PMID 33190816›Full record

ArticleJournal of vascular surgery. Venous and lymphatic disorders2021

Clinical and laboratory characteristics of patients with novel coronavirus disease-2019 infection and deep venous thrombosis.

Raghu L Motaganahalli, Rajat Kapoor, Lava R Timsina, Ashley R Gutwein, Michael D Ingram, Subha Raman, Scott D Roberts, Omar Rahman, David Rollins, Michael C Dalsing

Open access · bronzeAbstract read
In one paragraph

Article in Journal of vascular surgery. Venous and lymphatic disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.4field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  12. Health care disparities during the COVID-19 pandemic.Seminars in vascular surgery · 2021
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  15. Predicting the Risk of Deep Venous Thrombosis in Elderly Patients: A Comparative Analysis of Seven Machine Learning Models.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 3 institutions in 1 country.

Raghu L MotaganahalliDivision of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind. Electronic address: rmotagan@iupui.edu.
Rajat KapoorDivision of Pulmonary & Critical Care, Department of Medicine, Indiana University School of Medicine, Indianapolis, Ind.
Lava R TimsinaDepartment of Surgery, Center for Outcomes Research in Surgery, Indianapolis, Ind.
Ashley R GutweinDivision of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind.
Michael D IngramDivision of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind.
Subha RamanDivision of Cardiology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Ind.
Scott D RobertsDivision of Pulmonary & Critical Care, Department of Medicine, Indiana University School of Medicine, Indianapolis, Ind.
Omar RahmanDivision of Pulmonary & Critical Care, Department of Medicine, Indiana University School of Medicine, Indianapolis, Ind.
David RollinsDivision of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind.
Michael C DalsingDivision of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind.
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicineCenter for Outcomes Research in Liver Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEarly reports suggest that patients with novel coronavirus disease-2019 (COVID-19) infection carry a significant risk of altered coagulation with an increased risk for venous thromboembolic events. This report investigates the relationship of significant COVID-19 infection and deep venous thrombosis (DVT) as reflected in the patient clinical and laboratory characteristics.

methodsWe reviewed the demographics, clinical presentation, laboratory and radiologic evaluations, results of venous duplex imaging and mortality of COVID-19-positive patients (18-89 years) admitted to the Indiana University Academic Health Center. Using oxygen saturation, radiologic findings, and need for advanced respiratory therapies, patients were classified into mild, moderate, or severe categories of COVID-19 infection. A descriptive analysis was performed using univariate and bivariate Fisher's exact and Wilcoxon rank-sum tests to examine the distribution of patient characteristics and compare the DVT outcomes. A multivariable logistic regression model was used to estimate the adjusted odds ratio of experiencing DVT and a receiver operating curve analysis to identify the optimal cutoff for d-dimer to predict DVT in this COVID-19 cohort. Time to the diagnosis of DVT from admission was analyzed using log-rank test and Kaplan-Meier plots.

resultsOur study included 71 unique COVID-19-positive patients (mean age, 61 years) categorized as having 3% mild, 14% moderate, and 83% severe infection and evaluated with 107 venous duplex studies. DVT was identified in 47.8% of patients (37% of examinations) at an average of 5.9 days after admission. Patients with DVT were predominantly male (67%; P = .032) with proximal venous involvement (29% upper and 39% in the lower extremities with 55% of the latter demonstrating bilateral involvement). Patients with DVT had a significantly higher mean d-dimer of 5447 ± 7032 ng/mL (P = .0101), and alkaline phosphatase of 110 IU/L (P = .0095) than those without DVT. On multivariable analysis, elevated d-dimer (P = .038) and alkaline phosphatase (P = .021) were associated with risk for DVT, whereas age, sex, elevated C-reactive protein, and ferritin levels were not. A receiver operating curve analysis suggests an optimal d-dimer value of 2450 ng/mL cutoff with 70% sensitivity, 59.5% specificity, and 61% positive predictive value, and 68.8% negative predictive value.

conclusionsThis study suggests that males with severe COVID-19 infection requiring hospitalization are at highest risk for developing DVT. Elevated d-dimers and alkaline phosphatase along with our multivariable model can alert the clinician to the increased risk of DVT requiring early evaluation and aggressive treatment.

Indexed as

COVID-19ExtremitiesUltrasonography, Doppler, DuplexVenous ThrombosisAlkaline PhosphataseAnticoagulantsBiomarkersBlood CoagulationEarly DiagnosisFemaleFibrin Fibrinogen Degradation ProductsHumansIndianaMaleMiddle AgedPredictive Value of TestsAlkaline PhosphataseAnticoagulantsBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DAnticoagulationCOVID-19d-dimerDeep venous thrombosisHypercoagulable stateVenous disease

Identifiers

PMID33190816
PMCPMC7581378
OpenAlexW3093907310

What OpenQuestion 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 OpenQuestion graph.