Evidence map›Paper›PMID 38219260›Full record

Observational studyInternational urology and nephrology2024

Objectified kidney ultrasound echogenicity and size metrics as potential predictors for kidney function in children.

Shrea Goswami, Rosalia Misseri, Michelle C Starr, Daniel T Cater, Andrew L Schwaderer

Abstract readObservational Study
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In one paragraph

Observational study in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shrea GoswamiDepartment of Pediatrics, Division of Nephrology, Indiana University, Schwaderer Riley Children's Hospital, 705 Riley Drive, Indianapolis, IN, 46202, USA.
Rosalia MisseriDepartment of Urology, Division of Pediatric Urology, Indiana University, Indianapolis, IN, USA.
Michelle C StarrDepartment of Pediatrics, Division of Nephrology, Indiana University, Schwaderer Riley Children's Hospital, 705 Riley Drive, Indianapolis, IN, 46202, USA.
Daniel T CaterDepartment of Pediatrics, Division of Critical Care, Indiana University, Indianapolis, IN, USA.
Andrew L SchwadererDepartment of Pediatrics, Division of Nephrology, Indiana University, Schwaderer Riley Children's Hospital, 705 Riley Drive, Indianapolis, IN, 46202, USA. schwadea@iu.edu.ORCID http://orcid.org/0000-0003-0560-4666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney echogenicity is typically determined subjectively but may have a quantifiable relationship to kidney function. Similarly, kidney length has been shown to correlate with kidney function. This study sought to quantify echogenicity using readily available software. Secondarily, we aimed to evaluate the correlation between quantified echogenicity and kidney length to the estimated glomerular filtration rate (eGFR) in children with acute kidney injury (AKI) and chronic kidney disease (CKD).

methodsIn a single-center retrospective observational study, echogenicity index (EI) was determined using a ratio of right kidney to liver mean pixel density. The kidney length ratio (KLR) was determined by the actual to predicted lengths of both kidneys. Both variables were correlated to eGFR using correlation analyses and predictive capacity was determined with receiver operating characteristic curve (ROC) analysis.

resultsOf 94 subjects, 46% (43/94) had AKI, 28% (26/95) had CKD and 26% (25/95) were controls. The higher the EI the lower the eGFR (r = - 0.46, p < 0.0001). EI between 1.0 and 1.1 predicted an eGFR < 90 ml/min/1.73m

conclusionWe have developed an accessible methodology to quantify kidney echogenicity. Overall, there was an inverse correlation between EI and eGFR in pediatric CKD and AKI. However, these correlations did not persist within subgroups which could be due to small sample size and heterogeneity of etiologies. Overall, KLR had a weaker correlation to eGFR, compared to EI. Despite these correlations, both EI and KLR had "fair" to "good" performance as a biomarker for an eGFR < 60 ml/min/1.73m

Indexed as

Acute Kidney InjuryGlomerular Filtration RateKidneyRenal Insufficiency, ChronicUltrasonographyAdolescentChildChild, PreschoolFemaleHumansMaleOrgan SizePredictive Value of TestsRetrospective StudiesAcute kidney injuryChronic kidney diseaseCongenital anomalies of kidney and urinary tractEchogenicityKidney length

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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.