Evidence map›Paper›PMID 37934678›Full record

Observational studyRevista medica del Instituto Mexicano del Seguro Social2023

[Severe post-COVID-19 dialysis dependence and inpatient acute kidney injury].

Pamela Soto-Santillán, Fabiola Pazos-Pérez, Juan Carlos Anda-Garay, Rogelio Silva-Rueda, Juan Castillo-Cruz, Ivonne Analí Roy-García, Rodolfo Rivas-Ruiz, Edwin Palma-Díaz, Juan Carlos H Hernández-Rivera, Ramon Paniagua-Sierra

Open access · greenAbstract readEnglish AbstractObservational Study
In one paragraph

Observational study in Revista medica del Instituto Mexicano del Seguro Social, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 3 institutions in 1 country.

Pamela Soto-SantillánInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades, Servicio de Medicina Interna. Ciudad de México, México.ORCID 0000-0001-9489-1542
Fabiola Pazos-PérezInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades, Servicio de Nefrología. Ciudad de México, México.ORCID 0000-0001-6791-4147
Juan Carlos Anda-GarayInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades, Servicio de Medicina Interna. Ciudad de México, México.ORCID 0000-0003-0290-2078
Rogelio Silva-RuedaInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades, Servicio de Nefrología. Ciudad de México, México.ORCID 0009-0003-4888-2372
Juan Castillo-CruzInstituto Politécnico Nacional, Escuela Superior de Medicina, Departamento de Posgrado, Maestría en Ciencias de la Salud. Ciudad de México, México.ORCID 0000-0002-4943-4374
Ivonne Analí Roy-GarcíaInstituto Mexicano del Seguro Social, Centro de Adiestramiento en Investigación Clínica CAIC. Ciudad de México, México.ORCID 0000-0002-1859-3866
Rodolfo Rivas-RuizInstituto Mexicano del Seguro Social, Centro de Adiestramiento en Investigación Clínica CAIC. Ciudad de México, México.ORCID 0000-0002-5967-7222
Edwin Palma-DíazInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades, Servicio de Medicina Interna. Ciudad de México, México.ORCID 0000-0003-1715-3321
Juan Carlos H Hernández-RiveraInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Unidad de Investigación en Enfermedades Nefrológicas. Ciudad de México, México.ORCID 0000-0002-4038-5756
Ramon Paniagua-SierraInstituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Unidad de Investigación en Enfermedades Nefrológicas. Ciudad de México, México.ORCID 0000-0003-3577-9707
Mexican Social Security Institute · MXCentro Medico Nacional Siglo XXI · MXInstituto Politécnico Nacional · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 challenged our health system, within the broad clinical spectrum acute kidney injury was presented as a catastrophic event, acute kidney injury and the risk of dependency after dialysis constitute a clinical problem with high repercussions in the funcionality. Objective: To identify risk factors for dialysis dependence after acute kidney injury from COVID-19. Material and methods: A retrospective observational cohort study was carried out at the Hospital de Especialidades del Centro Médico Nacional Siglo XXI, of the Mexican Institute of Social Security, from March 2020 to March 2021. 317 patients were included, we performed descriptive statistics, we compared differences between the stages of acute kidney injury, finding a difference in obesity with a frequency of 2.2% in stage 1, 20.82% stage 2 and 14.51% stage 3, with p value = 0.018. Results: We found dialysis dependence one year after hospital-acquired acute kidney injury induced by COVID-19 in 58 patients (18.9%), we analyzed by KDIGO stage, in those patients who had AKI KDIGO 1 (2.83%) it depended on dialysis at one year, in the KDIGO stage 2 (3.78%), in the KDIGO stage 3 (11.67%). Conclusions: Our study allowed us to identify that the risk factors associated with dialysis dependence are: male gender, type 2 diabetes mellitus, obesity, cardiovascular disease.

Indexed as

Acute Kidney InjuryCOVID-19Diabetes Mellitus, Type 2Hospital MortalityHumansInpatientsMaleObesityRenal DialysisRetrospective StudiesRisk FactorsAcute Kidney InjuryCOVID-19DiálisisDialysisLesión Renal Aguda

Identifiers

PMID37934678
PMCPMC10730131
OpenAlexW4388500598

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.