Evidence map›Paper›PMID 35369662›Full record

ArticleKidney3602021

Association of AKI-D with Urinary Findings and Baseline eGFR in Hospitalized COVID-19 Patients.

Dipal M Patel, Manali Phadke, Feng Dai, Michael Simonov, Neera K Dahl, Ravi Kodali

Open access · diamondAbstract read
In one paragraph

Article in Kidney360, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 2 institutions in 1 country.

Dipal M PatelDepartment of Internal Medicine, Section of Nephrology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-8502-839
Manali PhadkeYale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut.ORCID 0000-0003-2268-5963
Feng DaiYale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut.
Michael SimonovClinical and Translational Research Accelerator, Yale New Haven Health System, New Haven, Connecticut.
Neera K DahlDepartment of Internal Medicine, Section of Nephrology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-5809-9961
Ravi KodaliDepartment of Internal Medicine, Section of Nephrology, Yale School of Medicine, New Haven, Connecticut.
Yale University · USYale New Haven Health System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIDDK NIH HHS P30 DK079310
6 · The paper itself

Abstract

Background: AKI is common in patients hospitalized with coronavirus disease 2019 (COVID-19). Risk factors for AKI requiring dialysis (AKI-D) are not fully understood. We aimed to identify risk factors associated with AKI-D and AKI not requiring dialysis (AKI-ND). Methods: We reviewed electronic health records of 3186 patients aged ≥18 years old who were hospitalized with COVID-19 across six hospitals. Patient characteristics, urinalysis findings, and inflammatory markers were analyzed for association with in-hospital AKI status (AKI-D, AKI-ND, or no AKI), and we subsequently evaluated mortality. Results: After adjustment for multiple covariates, higher baseline eGFR was associated with 30% lower odds of AKI-D and 11% lower odds of AKI-ND (for AKI-D, OR, 0.70; 95% CI, 0.64 to 0.77; for AKI-ND, OR, 0.89; 95% CI, 0.85 to 0.92). Patients with obesity and those who were Latino had increased odds of AKI-D, whereas patients with congestive heart failure or diabetes with complications had increased odds of AKI-ND. Females had lower odds of in-hospital AKI (for AKI-D, OR, 0.28; 95% CI, 0.17 to 0.46; for AKI-ND, OR, 0.83; 95% CI, 0.70 to 0.99). After adjustment for covariates and baseline eGFR, 1-4+ protein on initial urinalysis was associated with a nine-fold increase in odds of AKI-D (OR, 9.00; 95% CI, 2.16 to 37.38) and more than two-fold higher odds of AKI-ND (OR, 2.28; 95% CI, 1.66 to 3.13). Findings of 1-3+ blood and trace glucose on initial urinalysis were also associated with increased odds of both AKI-D and AKI-ND. AKI-D and AKI-ND were associated with in-hospital death (for AKI-D, OR, 2.64; 95% CI, 1.13 to 6.17; for AKI-ND, OR, 2.44; 95% CI, 1.77 to 3.35). Conclusions: Active urine sediments, even after adjustment for baseline kidney function, and reduced baseline eGFR are significantly associated with increased odds of AKI-D and AKI-ND. In-hospital AKI was associated with in-hospital death. These findings may help prognosticate patients hospitalized with COVID-19.

Indexed as

Acute Kidney InjuryCOVID-19AdolescentAdultFemaleHospital MortalityHumansRenal DialysisRetrospective StudiesSARS-CoV-2acute kidney failureacute kidney injuryacute kidney injury and ICU nephrologyCOVID-19dialysishematuriaproteinuriarisk factors

Identifiers

PMID35369662
PMCPMC8676386
OpenAlexW3162279772

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.