Evidence map›Paper›PMID 34998600›Full record

ArticleTransplantation proceedings

Risk of Severe Coronavirus Disease 2019 Infection in Kidney Transplant Recipients.

Pilar Galindo Sacristán, Elena Clavero García, Elisa Berta Pereira Pérez, Almudena Pérez Marfil, María José Torres Sánchez, José Manuel Osorio Moratalla, Carmen De Gracia Guindo, María Carmen Ruiz Fuentes, Antonio Osuna Ortega

Open access · greenAbstract read
In one paragraph

Article in Transplantation proceedings. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Pilar Galindo SacristánDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain. Electronic address: pgalindosacristan@gmail.com.
Elena Clavero GarcíaDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
Elisa Berta Pereira PérezDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
Almudena Pérez MarfilDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
María José Torres SánchezDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
José Manuel Osorio MoratallaDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
Carmen De Gracia GuindoDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
María Carmen Ruiz FuentesDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
Antonio Osuna OrtegaDepartment of Nephrology, Virgen de las Nieves Universitary Hospital, Granada, Spain.
Hospital Universitario Virgen de las Nieves · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite all efforts, the incidence of severe coronavirus disease 2019 (COVID-19) infection has been high in renal transplant recipients, as in other groups (eg, older adults, patients with comorbidities or immunosuppression). The detection of any possible predictor of gravity could improve the early approach in these patients. PATIENTS AND

methodsWe registered data from renal transplant recipients with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection in our area for a year (March 2020 to March 2021). We collected demographics, comorbidity, body mass index, lymphocyte count, and vitamin D levels before the diagnosis. We performed statistical analysis using SPSS Statistics version 20 (IBM Corp, Armonk, NY, United States).

resultsOf 63 patients, 57.1% required hospital admission and 14.3% required intensive care. The incidence of acute renal failure was 28.6%; 34.9% developed hyperinflammatory syndrome; 67% had lymphopenia, which was severe in 13.1%; and 11 patients died. There was significant correlation between lymphocyte count before and during the infection. For hospitalization, we found differences in age, pulmonary disease, and renal function. Related factors for admission to an intensive care unit were obesity, severe lymphopenia, altered renal function, and low level of vitamin D. Predictors for mortality were age, renal function, and minimum lymphocyte count.

conclusionIn kidney transplant recipients with COVID-19 infection, renal function determines hospitalization, and body mass index determines admission to an intensive care unit. Previous vitamin D levels are also significantly lower in patients requiring intensive care. The analysis of lymphocyte count previous to infection is correlated with the minimum level during the disease, which is a predictor of mortality, and could be a prognosis factor.

Indexed as

COVID-19Kidney TransplantationAgedComorbidityHumansIntensive Care UnitsRisk FactorsSARS-CoV-2Transplant Recipients

Identifiers

PMID34998600
PMCPMC8585609
OpenAlexW3213306579

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.