Evidence map›Paper›PMID 31725746›Full record

Observational studyPloS one2019

EPILAT-IRA Study: A contribution to the understanding of the epidemiology of acute kidney injury in Latin America.

Raúl Lombardi, Alejandro Ferreiro, Rolando Claure-Del Granado, Emmanuel A Burdmann, Guillermo Rosa-Diez, Luis Yu, Mauricio Younes-Ibrahim, Cristina Carlino, Jonathan S Chávez-Iñiguez, Mariana B Pereira and 7 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
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  3. Observational
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  9. Review
  10. Observational
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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

17 authors.

Raúl LombardiDept. of Nephrology, School of Medicine, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0002-2398-794X
Alejandro FerreiroDept. of Nephrology, School of Medicine, Universidad de la República, Montevideo, Uruguay.
Rolando Claure-Del GranadoDivision of Nephrology, Hospital Obrero #2 - C.N.S., Universidad Mayor de San Simon School of Medicine, Cochabamba, Bolivia.
Emmanuel A BurdmannLIM 12, Division of Nephrology, University of Sao Paulo Medical School, Sao Paulo, Brazil.
Guillermo Rosa-DiezDept. of Nehrology, Hospital Italiano, Buenos Aires, Argentina.
Luis YuLIM 12, Division of Nephrology, University of Sao Paulo Medical School, Sao Paulo, Brazil.
Mauricio Younes-IbrahimDept. of Internal Medicine, University of Rio de Janeiro, Rio de Janeiro, Brazil.
Cristina CarlinoHospital Provincial, Rosario, Santa Fe, Argentina.
Jonathan S Chávez-IñiguezHospital Civil de Guadalajara, Centro Universitario de Ciencias de la Salud, Jalisco, Mexico.
Mariana B PereiraNephrology Division, Hospital do Servidor Público Estadual, Universidade Nove de Julho, Sao Paulo, Brazil.
Carlos F VarelaDept. of Nehrology, Hospital Italiano, Buenos Aires, Argentina.
Welder ZamonerBotucatu School of Medicine, São Paulo State University-UNESP, Sao Paulo, Brazil.
Diego JaniquesClinica Renalle, Pontifícia Universidade Católica, Petrópolis, Rio de Janeiro, Brazil.
Soledad LecuederSanatorio Casa de Galicia, Montevideo, Uruguay.
Víctor Cerrón-MillánHospital Nacional Daniel Alcides Carrión, Dept. de Medicina, Servicio de Nefrología, Callao- Lima, Perú.
Alfonso Cueto-ManzanoMedical Research Unit of Renal Diseases, Hospital de Especialidades, CMNO, IMSS, Guadalajara, Mexico.
EPILAT-ITA Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEpidemiology of acute kidney injury (AKI) is highly dependent on patient characteristics, context and geography. Considering the limited information in Latin America and the Caribbean, we performed a study with the aim to contribute to improve its better understanding.

methodsObservational, prospective, longitudinal, multinational cohort study addressed to determine risk factors, clinical profile, process of care and outcomes of AKI in the region. Patients meeting KDIGO AKI definition were included over a 9-month period and designated community or hospital-acquired. De-identified clinical and lab data were entered in a specifically designed on-line platform. Co-variables potentially linked to AKI onset, in-hospital and 90-days mortality, were recorded and correlated using a multiple logistic regression model.

resultsFifty-seven physicians from 15 countries provided data on 905 patients, most with acceptable basic needs coverage. Median age 64 (50-74) yrs; most of them were male (61%) and mestizos (42%). Comorbidities were present in 77%. AKI was community-acquired in 62%. Dehydration, shock and nephrotoxic drugs were the commonest causes. During their process of care, 77% of patients were assessed by nephrologists. Kidney replacement therapy (KRT) was performed in 29% of cases. In-hospital mortality was 26.5% and independently associated to older age, chronic liver disease, hypotension, shock, cardiac disturbances, hospital-acquired sepsis, KRT and mechanical ventilation. At 90-days follow up partial or complete renal recovery was 81% and mortality 24%.

conclusionsAKI was mainly community-acquired, in patients with comorbidities and linked to fluid loss and nephrotoxic drugs. Mortality was high and long-term follow up poor. Notwithstanding, the study shows partially the situation in the participant countries rather than the actual epidemiology of AKI in Latin America and Caribbean, a pending and needed task.

Indexed as

Hospital MortalityRenal Replacement TherapyAcute Kidney InjuryAdolescentAdultAgedCaribbean RegionDisease-Free SurvivalHumansLatin AmericaMaleMiddle AgedProspective StudiesSurvival Rate

Identifiers

PMID31725746
PMCPMC6855418

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Registered trials

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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 OpenQuestion graph.