Evidence map›Paper›PMID 35606394›Full record

ArticleScientific reports2022

The role of kidney dysfunction in COVID-19 and the influence of age.

Edoardo La Porta, Paola Baiardi, Lorenzo Fassina, Alessandro Faragli, Simone Perna, Federico Tovagliari, Ilaria Tallone, Giuseppina Talamo, Giovanni Secondo, Giovanni Mazzarello and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

16 authors at 8 institutions in 3 countries.

Edoardo La PortaDivision of Nephrology, Dialysis and Transplantation, Scientific Institute for Research and Health Care, IRCCS Istituto Giannina Gaslini, via Gerolamo Gaslini 5, 16147, Genoa, Italy. edoardo01laporta@gmail.com.ORCID 0000-0003-2368-1139
Paola BaiardiScientific Direction, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Lorenzo FassinaDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Alessandro FaragliDepartment of Cardiology, Charité-University Medicine Berlin, Campus Virchow Klinikum, Berlin, Germany.
Simone PernaDepartment of Biology, Sakhir Campus, College of Science, University of Bahrain, Sakhir, Bahrain.
Federico TovagliariGeneral Medicine Department, Ospedale Evangelico, Genoa, Italy.
Ilaria TalloneNephrology Department, Ospedale San Paolo, Savona, Italy.
Giuseppina TalamoEmergency Department, Ospedale Evangelico, Genoa, Italy.
Giovanni SecondoGeneral Medicine Department, Ospedale Evangelico, Genoa, Italy.
Giovanni MazzarelloInfectious Disease Clinic Genoa University, Ospedale San Martino, Genoa, Italy.
Vittoria EspositoNephrology and Dialysis Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Matteo PasiniDepartment of Cardionephrology, Istituto Clinico Ligure Di Alta Specialità (ICLAS), GVM Care and Research, Rapallo, GE, Italy.
Francesca LupoDepartment of Cardionephrology, Istituto Clinico Ligure Di Alta Specialità (ICLAS), GVM Care and Research, Rapallo, GE, Italy.
Giacomo DeferrariDepartment of Internal Medicine (DiMi), University of Genoa, Genoa, Italy.
Matteo Bassetti *Infectious Disease Clinic Genoa University, Ospedale San Martino, Genoa, Italy.
Ciro Esposito *Nephrology and Dialysis Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Istituti Clinici Scientifici Maugeri · ITOspedale Policlinico San Martino · ITUniversity of Pavia · ITCharité - Universitätsmedizin Berlin · DEIstituto Giannina Gaslini · ITOspedale San Paolo · ITUniversity of Bahrain · BHUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is strongly influenced by age and comorbidities. Acute kidney injury (AKI) is a frequent finding in COVID-19 patients and seems to be associated to mortality and severity. On the other hand, the role of kidney dysfunction in COVID-19 is still debated. We performed a retrospective study in a cohort of 174 hospitalized COVID-19 patients in Italy from March 3rd to May 21st 2020, to investigate the role of kidney dysfunction on COVID-19 severity and mortality. Moreover, we examined in depth the relationship between kidney function, age, and progression of COVID-19, also using different equations to estimate the glomerular filtration rate (GFR). We performed logistic regressions, while a predictive analysis was made through a machine learning approach. AKI and death occurred respectively in 10.2% and 19.5%, in our population. The major risk factors for mortality in our cohort were age [adjusted HR, 6.2; 95% confidence interval (CI) 1.8-21.4] and AKI [3.36 (1.44-7.87)], while, in these relationships, GFR at baseline mitigated the role of age. The occurrence of AKI was influenced by baseline kidney function, D-dimer, procalcitonin and hypertension. Our predictive analysis for AKI and mortality reached an accuracy of ≥ 94% and ≥ 91%, respectively. Our study scales down the role of kidney function impairment on hospital admission , especially in elderly patients. BIS-1 formula demonstrated a worse performance to predict the outcomes in COVID-19 patients when compared with MDRD and CKD-EPI.

Indexed as

Acute Kidney InjuryCOVID-19AgedGlomerular Filtration RateHumansKidneyRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID35606394
PMCPMC9125966
OpenAlexW4281389498

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.