Evidence map›Paper›PMID 35144572›Full record

Observational studyBMC nephrology2022

SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution.

Erica C Bjornstad, Gary Cutter, Pramod Guru, Shina Menon, Isabella Aldana, Scott House, Nancy M Tofil, Catherine A St Hill, Yasir Tarabichi, Valerie M Banner-Goodspeed and 17 more

Open access · goldAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

27 authors at 11 institutions in 1 country.

Erica C BjornstadDepartment of Pediatrics, Division of Nephrology, University of Alabama at Birmingham, 1600 7th Avenue South, Lowder Suite 516, Birmingham, AL, 35233, USA. ebjornstad@uabmc.edu.
Gary CutterDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Pramod GuruMayo Clinic, Jacksonville, FL, USA.
Shina MenonSeattle Children's Hospital, Seattle, WA, USA.
Isabella AldanaDepartment of Pediatrics, Division of Nephrology, University of Alabama at Birmingham, 1600 7th Avenue South, Lowder Suite 516, Birmingham, AL, 35233, USA.
Scott HouseDepartment of Pediatrics, Division of Nephrology, University of Alabama at Birmingham, 1600 7th Avenue South, Lowder Suite 516, Birmingham, AL, 35233, USA.
Nancy M TofilDepartment of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA.
Catherine A St HillAllina Health (Abbott Northwestern Hospital, United Hospital, Mercy Hospital), Minneapolis, MN, USA.
Yasir TarabichiMetroHealth Medical Center, Cleveland, OH, USA.
Valerie M Banner-GoodspeedBeth Israel Deaconess Medical Center, Boston, MA, USA.
Amy B ChristieAtrium Health Navicent, GA, Macon, USA.
Surapaneni Krishna MohanPanimalar Medical College Hospital & Research Institute, Chennai, Tamil Nadu, India.
Devang SanghaviMayo Clinic, Jacksonville, FL, USA.
Jarrod M MosierUniversity of Arizona College of Medicine-Tucson, Tucson, AZ, USA.
Girish VadgaonkarBSES MG Hospital, Mumbai, India.
Allan J WalkeyBoston University School of Medicine, Boston, MA, USA.
Rahul KashyapMayo Clinic, Rochester, MN, USA.
Vishakha K KumarSociety of Critical Care Medicine, Mount Prospect, IL, USA.
Vikas BansalMayo Clinic, Rochester, MN, USA.
Karen BomanSociety of Critical Care Medicine, Mount Prospect, IL, USA.
Mayank SharmaMayo Clinic, Rochester, MN, USA.
Marija BogojevicMayo Clinic, Rochester, MN, USA.
Neha DeoMayo Clinic, Rochester, MN, USA.
Lynn RetfordSociety of Critical Care Medicine, Mount Prospect, IL, USA.
Ognjen GajicMayo Clinic, Rochester, MN, USA.
Katja M GistUniversity of Colorado Anschutz Medical Campus, Aurora, CO, USA.
SCCM Discovery VIRUS Investigators Group
University of Alabama at Birmingham · USMayo Clinic in Arizona · USSociety of Critical Care Medicine · USBeth Israel Deaconess Medical Center · USNavicent Health · USWinnMed · USAbbott Northwestern Hospital · USUniversity of Arizona · USMetroHealth · USSeattle Children's Hospital · USUniversity of Alabama at Birmingham Hospital · US

Funding

Prolonged mechanical ventilation: patterns of post-acute care and patient outcomesK23HL153482 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAW, ANICA C · 2020 to 2024
$891k
NHLBI NIH HHS K23 HL153482
6 · The paper itself

Abstract

backgroundHospitalized patients with SARS-CoV2 develop acute kidney injury (AKI) frequently, yet gaps remain in understanding why adults seem to have higher rates compared to children. Our objectives were to evaluate the epidemiology of SARS-CoV2-related AKI across the age spectrum and determine if known risk factors such as illness severity contribute to its pattern.

methodsSecondary analysis of ongoing prospective international cohort registry. AKI was defined by KDIGO-creatinine only criteria. Log-linear, logistic and generalized estimating equations assessed odds ratios (OR), risk differences (RD), and 95% confidence intervals (CIs) for AKI and mortality adjusting for sex, pre-existing comorbidities, race/ethnicity, illness severity, and clustering within centers. Sensitivity analyses assessed different baseline creatinine estimators.

resultsOverall, among 6874 hospitalized patients, 39.6% (n = 2719) developed AKI. There was a bimodal distribution of AKI by age with peaks in older age (≥60 years) and middle childhood (5-15 years), which persisted despite controlling for illness severity, pre-existing comorbidities, or different baseline creatinine estimators. For example, the adjusted OR of developing AKI among hospitalized patients with SARS-CoV2 was 2.74 (95% CI 1.66-4.56) for 10-15-year-olds compared to 30-35-year-olds and similarly was 2.31 (95% CI 1.71-3.12) for 70-75-year-olds, while adjusted OR dropped to 1.39 (95% CI 0.97-2.00) for 40-45-year-olds compared to 30-35-year-olds.

conclusionsSARS-CoV2-related AKI is common with a bimodal age distribution that is not fully explained by known risk factors or confounders. As the pandemic turns to disproportionately impacting younger individuals, this deserves further investigation as the presence of AKI and SARS-CoV2 infection increases hospital mortality risk.

Indexed as

SARS-CoV-2Acute Kidney InjuryAdolescentAdultAgedAged, 80 and overAge DistributionAge FactorsChildChild, PreschoolComorbidityConfidence IntervalsCOVID-19CreatinineGlobal HealthHospital MortalityCreatinineAge-spectrumAKICOVID-19Hospitalization

Identifiers

PMID35144572
PMCPMC8831033
OpenAlexW4211188664

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.