Evidence map›Paper›PMID 38630338›Full record

ArticleJournal of nephrology2024

Body fat predicts urinary tract infection in kidney transplant recipients: a prospective cohort study.

Thaysa Sobral Antonelli, Milena Dos Santos Mantovani, Nyara Coelho de Carvalho, Thomáz Eduardo Archangelo, Marcos Ferreira Minicucci, Sebastião Pires Ferreira Filho, Ricardo de Souza Cavalcante, Luis Gustavo Modelli de Andrade, Nara Aline Costa, Paulo Roberto Kawano and 3 more

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In one paragraph

Article in Journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Thaysa Sobral AntonelliMedical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Milena Dos Santos MantovaniMedical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Nyara Coelho de CarvalhoMedical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Thomáz Eduardo ArchangeloMedical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Marcos Ferreira MinicucciInternal Medicine Department, Medical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Sebastião Pires Ferreira FilhoDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, Medical School, São Paulo State University (Unesp), Av. Prof. Mário Rubens Guimarães Montenegro, s/n, UNESP, Campus de Botucatu, Botucatu, SP, CEP 18618-687, Brazil.
Ricardo de Souza CavalcanteDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, Medical School, São Paulo State University (Unesp), Av. Prof. Mário Rubens Guimarães Montenegro, s/n, UNESP, Campus de Botucatu, Botucatu, SP, CEP 18618-687, Brazil.
Luis Gustavo Modelli de AndradeInternal Medicine Department, Medical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Nara Aline CostaFaculty of Nutrition, Universidade Federal de Goiás (UFG), Goiânia, Brazil.
Paulo Roberto KawanoDivision of Urology, Department of Surgical Specialties and Anesthesia, Medical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Gabriel Berg de AlmeidaDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, Medical School, São Paulo State University (Unesp), Av. Prof. Mário Rubens Guimarães Montenegro, s/n, UNESP, Campus de Botucatu, Botucatu, SP, CEP 18618-687, Brazil.
Silvia Justina PapiniDepartment of Nursing, Medical School, São Paulo State University (Unesp), Botucatu, São Paulo, Brazil.
Ricardo Augusto Monteiro de Barros AlmeidaDepartment of Infectious Diseases, Dermatology, Imaging Diagnosis, and Radiotherapy, Medical School, São Paulo State University (Unesp), Av. Prof. Mário Rubens Guimarães Montenegro, s/n, UNESP, Campus de Botucatu, Botucatu, SP, CEP 18618-687, Brazil. almeidaramb@yahoo.com.br.ORCID 0000-0003-0567-6221
Universidade Estadual Paulista (Unesp) · BRUniversidade Federal de Goiás · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 42014Conselho Nacional de Desenvolvimento Científico e Tecnológico 51408Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/24745-3
6 · The paper itself

Abstract

backgroundThe association between obesity and infectious diseases is increasingly reported in the literature. There are scarce studies on the association between obesity and urinary tract infection after kidney transplantation (KTx). These studies defined obesity based on body mass index, and their results were conflicting. The present study aimed to evaluate this association using bioelectrical impedance analysis for body composition evaluation, and obesity definition.

methodsA single-center cohort study was conducted. Demographic, clinical, anthropometric, and laboratory data were collected at KTx admission, and bioelectrical impedance analysis was performed to measure the visceral fat area, waist circumference, and total fat mass. The occurrence of urinary tract infection (symptomatic bacteriuria and/or histological evidence of pyelonephritis) was evaluated within three months after KTx.

resultsSeventy-seven patients were included in the cohort, and 67 were included in the final analysis. Urinary tract infection was diagnosed in 23.9% of the transplanted patients. Waist circumference (HR: 1.053; 95% CI 1.005-1.104; p = 0.032), visceral fat area (HR: 1.015; 95% CI 1.003-1.027; p = 0.014), and total fat mass (HR: 1.075; 95% CI 1.008-1.146; p = 0.028) were associated with urinary tract infection occurrence after KTx, using Cox regression models. Patients with high waist circumference (above 102 cm for men and above 88 cm for women) had a 4.7 times higher risk of a urinary tract infection than those with normal waist circumference (HR: 4.726; 95% CI 1.267-17.630; p = 0.021). Kaplan-Meier curves showed that patients with high waist circumference, high visceral fat area, and high total fat mass had more urinary tract infections (Log-rank test p = 0.014, p = 0.020, and p = 0.018, respectively). Body mass index was not able to predict urinary tract infection in the study sample.

conclusionsWaist circumference, visceral fat area, and total fat mass, assessed by bioelectrical impedance analysis, were predictors of urinary tract infection risk within the first three months after KTx.

Indexed as

Electric ImpedanceKidney TransplantationUrinary Tract InfectionsWaist CircumferenceAdiposityAdultBody Mass IndexFemaleHumansIntra-Abdominal FatMaleMiddle AgedObesityProspective StudiesRisk FactorsBioelectrical impedanceBody fat distributionKidney transplantationObesityUrinary tract InfectionsWaist circumference

Identifiers

PMID38630338
OpenAlexW4394869272

What Socratic 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 Socratic graph.