Evidence map›Paper›PMID 37238917›Full record

ArticleBiomedicines2023

Acute Kidney Injury in Hospitalized Patients with COVID-19: Risk Factors and Serum Biomarkers.

Anastasia Shchepalina, Natalia Chebotareva, Larissa Akulkina, Mikhail Brovko, Viktoria Sholomova, Tatiana Androsova, Yulia Korotchaeva, Diana Kalmykova, Elena Tanaschuk, Marina Taranova and 3 more

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In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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

13 authors.

Anastasia ShchepalinaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.ORCID 0000-0002-1826-0519
Natalia ChebotarevaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Larissa AkulkinaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Mikhail BrovkoTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Viktoria SholomovaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.ORCID 0000-0002-8785-7968
Tatiana AndrosovaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Yulia KorotchaevaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Diana KalmykovaDepartment of Nursing, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Elena TanaschukTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Marina TaranovaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Marina LebedevaTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Vladimir BeketovTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.
Sergey MoiseevTareev Clinic of Internal Diseases, Department of Internal Diseases, Occupational Diseases and Reumatology, Sechenov First Moscow State Medical University, 119435 Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAKI is one of the COVID-19 complications with high prognostic significance. In our research, we studied the prognostic role of several biomarkers that could help us understand AKI pathogenesis in patients with COVID-19.

methodsWe evaluated the medical data of 500 patients hospitalized with COVID-19 in Tareev Clinic from 5 October 2020 to 1 March 2022. The diagnosis of COVID-19 was confirmed with positive RNA PCR in nasopharyngeal swabs and/or typical radiological findings on CT scans. Kidney function was assessed in accordance with KDIGO criteria. In the selected 89 patients, we evaluated serum levels of angiopoetin-1, KIM-1, MAC, and neutrophil elastase 2 and their prognostic significance.

resultsThe incidence of AKI in our study was 38%. The main risk factors for kidney injury were male sex, cardiovascular diseases, and chronic kidney disease. High serum angiopoetin-1 levels and a decrease in blood lymphocyte count and fibrinogen level also increased the risk of AKI.

conclusionsAKI is an independent risk factor for death in patients with COVID-19. We propose the prognostic model of AKI development, which includes the combination of serum levels of angiopoetin-1 and KIM-1 on admission. Our model can help to prevent AKI development in patients with coronavirus disease.

Indexed as

biomarkersCOVID-19renal function

Identifiers

PMID37238917
PMCPMC10215395

What Socratic holds

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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.