Evidence map›Paper›PMID 33819591›Full record

Observational studyAnnals of vascular surgery2021

Acute Limb Ischemia in Hospitalized COVID-19 Patients.

Ahmet Can Topcu, Gozde Ozturk-Altunyurt, Dilara Akman, Ayse Batirel, Recep Demirhan

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Annals of vascular surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Acute Limb Ischemia in COVID-19: A Systematic Review.The International journal of angiology : official publication of the International College of Angiology, Inc · 2023
    Review
  5. Reply.Journal of vascular surgery. Venous and lymphatic disorders · 2023
    Article
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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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

5 authors at 1 institution in 1 country.

Ahmet Can TopcuDepartment of Cardiovascular Surgery, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey. Electronic address: ahmet.topcu@icloud.com.
Gozde Ozturk-AltunyurtDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey.
Dilara AkmanDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey.
Ayse BatirelDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey.
Recep DemirhanDepartment of Thoracic Surgery, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey.
Dr Lütfi Kırdar Kartal Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is a multisystemic disorder. Hematologic and cardiovascular involvement of COVID-19 causes thromboembolic events across multiple organs which mainly manifest as venous thromboembolism, and rarely, peripheral arterial thromboembolic events. In-situ thrombosis of a healthy, non-atherosclerotic native artery is rare, and COVID-19 has been reported to be a cause of this phenomenon. We aimed to report our institutional experience with COVID-19 patients who developed acute limb ischemia (ALI) during hospitalization or after discharge.

methodsThis was a single-center cross-sectional study. Records of all patients ≥18 years of age admitted to a tertiary center with a confirmed diagnosis of COVID-19 infection between September 1 and December 31, 2020 were retrospectively examined. Data regarding patient demographics, co-morbidities and outcomes were collected. Patients were followed-up during index hospitalization and for 30 days postdischarge. Acute limb ischemia was diagnosed by means of duplex ultrasound and computed tomography angiography in the presence of a clinical suspicion.

resultsA total of 681 consecutive patients (38.5% women) were hospitalized with a confirmed diagnosis of COVID-19 during the study period. Median age was 63 years (IQR, 52-74). In-hospital mortality occurred in 94 (13.8%) patients. Ninety (13.2%) patients required intensive care unit admission at some point of their hospital stay. Six (0.9%) patients (one woman) with a median age of 62 years experienced ALI (IQR, 59-64.3). All patients were receiving low molecular weight heparin when they developed ALI. The median of duration between COVID-19 diagnosis and ALI symptom onset was 13 days (IQR, 11.3-14). Three patients underwent emergent surgical thrombectomy combined with systemic anticoagulation, and 3 received systemic anticoagulation alone. Two patients with ALI did not survive to hospital discharge. Among survivors, 1 patient underwent bilateral major amputations, and another underwent a minor amputation within 1 month of hospital discharge. Symptoms of ALI completely resolved in 2 patients without sequelae.

conclusionsCOVID-19 is a multisystemic disorder with involvement of hematologic and cardiovascular systems. Despite widespread use of thromboprophylaxis, hospitalized patients with COVID-19 are at increased risk of ALI, and subsequent limb loss or even death.

Indexed as

HospitalizationAcute DiseaseAgedAmputation, SurgicalAnticoagulantsCOVID-19Cross-Sectional StudiesFemaleHospital MortalityHumansIschemiaLimb SalvageMaleMiddle AgedPatient DischargePeripheral Arterial DiseaseAnticoagulants

Identifiers

PMID33819591
PMCPMC8017914
OpenAlexW3150121840

What OpenQuestion holds

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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.