A back propagation neural network approach to estimate the glomerular filtration rate in an older population.


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
24 05 2023
Historique:
received: 19 12 2022
accepted: 08 05 2023
medline: 26 5 2023
pubmed: 25 5 2023
entrez: 24 5 2023
Statut: epublish

Résumé

The use of creatinine-based glomerular filtration rate (GFR)-estimating equations to evaluate kidney function in elderly individuals does not appear to offer any performance advantages. We therefore aimed to develop an accurate GFR-estimating tool for this age group. Adults aged ≥ 65 years who underwent GFR measurement by technetium-99 m-diethylene triamine pentaacetic acid ( The study included 1,222 older adults. The mean age of both the training cohort (n = 978) and the test cohort (n = 244) was 72 ± 6 years, with 544 (55.6%) and 129 (52.9%) males, respectively. The median bias of BPNN was 2.06 ml/min/1.73 m The novel BPNN tool is more accurate than the currently available creatinine-based GFR estimation equations in an older population and could be recommended for routine clinical use.

Sections du résumé

BACKGROUND
The use of creatinine-based glomerular filtration rate (GFR)-estimating equations to evaluate kidney function in elderly individuals does not appear to offer any performance advantages. We therefore aimed to develop an accurate GFR-estimating tool for this age group.
METHODS
Adults aged ≥ 65 years who underwent GFR measurement by technetium-99 m-diethylene triamine pentaacetic acid (
RESULTS
The study included 1,222 older adults. The mean age of both the training cohort (n = 978) and the test cohort (n = 244) was 72 ± 6 years, with 544 (55.6%) and 129 (52.9%) males, respectively. The median bias of BPNN was 2.06 ml/min/1.73 m
CONCLUSIONS
The novel BPNN tool is more accurate than the currently available creatinine-based GFR estimation equations in an older population and could be recommended for routine clinical use.

Identifiants

pubmed: 37226135
doi: 10.1186/s12877-023-04027-5
pii: 10.1186/s12877-023-04027-5
pmc: PMC10207816
doi:

Substances chimiques

Creatinine AYI8EX34EU
Pentetic Acid 7A314HQM0I

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

322

Informations de copyright

© 2023. The Author(s).

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Auteurs

Shimin Jiang (S)

Department of Nephrology, China-Japan Friendship Hospital, No. 2 East Yinghuayuan Street, Chaoyang District, Beijing, 100029, China.

Yetong Li (Y)

Department of Nephrology, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, 100045, China.

Yuanyuan Jiao (Y)

Graduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.

Danyang Zhang (D)

Graduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.

Ying Wang (Y)

Graduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.

Wenge Li (W)

Department of Nephrology, China-Japan Friendship Hospital, No. 2 East Yinghuayuan Street, Chaoyang District, Beijing, 100029, China. wenge_lee2002@126.com.

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