Evidence map›Paper›PMID 38966657›Full record

ArticleJournal of general and family medicine2024

SARS-CoV-2 PCR cycle threshold value at admission might not be a good predictor of in-hospital COVID-19-associated AKI.

Shiva Rahimipour Anaraki, Ali Mohammadian, Talieh Mostaghimi, Farzin Sadeghi, Roghayeh Akbari

Abstract read
In one paragraph

Article in Journal of general and family medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Shiva Rahimipour AnarakiFaculty of Medicine Iran University of Medical Sciences (IUMS) Tehran Iran.ORCID https://orcid.org/0000-0001-6353-7727
Ali MohammadianFaculty of Medicine Shahid Beheshti University of Medical sciences Tehran Iran.ORCID https://orcid.org/0000-0001-7586-4282
Talieh MostaghimiStudent Research Committee Babol University of Medical Sciences Babol Iran.
Farzin SadeghiCellular and Molecular Biology Research Center, Health Research Institute Babol University of Medical Sciences Babol Iran.ORCID https://orcid.org/0000-0001-8599-3643
Roghayeh AkbariInfectious Diseases and Tropical Medicine Research Center, Health Research Institute Babol University of Medical Sciences Babol Iran.ORCID https://orcid.org/0000-0002-3720-3077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) is a prevalent complication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and a predictor of disease severity and mortality; furthermore, a prompt diagnosis and treatment of this complication may enhance COVID-19 prognosis. Therefore, we aim to investigate potential risk factors for SARS-CoV-2-associated AKI, including SARS-CoV-2 PCR cycle threshold value (CT value), which correlation with AKI is conflicting. Methods: This case-control study included 110 hospitalized patients with SARS-CoV-2-associated AKI as cases and 110 random SARS-CoV-2 hospitalized patients as controls. Reverse transcription real-time PCR of admission nasopharyngeal swabs evaluated E gene cycle thresholds. Additional clinical and paraclinical information extracted from medical records. The patient's status at discharge, and 14 and 30 days after discharge. Therefore, after adjusting for age and gender, the correlation between variables was assessed. Results: SARS-CoV-2 AKI is significantly associated with age above 60, hypertension, diabetes mellitus, ischemic heart disease, and underlying kidney diseases. Abnormal admission hemoglobin or alkaline phosphatase, proteinuria or hematuria in urine sediment, and abnormal creatinine during hospitalization were the paraclinical features correlated to SARS-CoV-2 AKI. AKI group demonstrated greater in-hospital, 14- and 30-day mortality. Nevertheless, this study did not evidence a correlation between the admission CT value and mortality or AKI. Conclusion: Admission CT values provide limited information regarding the dynamic viral load and varying hospitalization time points; thus, they may not be reliable for predicting the prognosis and complications of COVID-19 in all populations. Further studies with serial CT measurements or symptom onset time adjustment are recommended.

Indexed as

acute kidney injurycoronavirus disease 2019viral load

Identifiers

PMID38966657
PMCPMC11221053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.