Evidence map›Paper›PMID 37648874›Full record

ArticleInternational urology and nephrology2024

Addition of bioimpedance-derived body cell mass improves performance of serum creatinine-based GFR estimation in a chronic kidney disease cohort.

Ranjit Singh, Majibullah Ansari, Namrata Rao, Abhilash Chandra, Shashwat Verma, Prabhaker Mishra, Ayush Lohiya

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Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Ranjit SinghDepartment of Nephrology, Dr Ram Manohar Lohia Institute of Medical Sciences, 4th floor, OPD Block Vibhuti Khand, Lucknow, Uttar Pradesh, 226010, India.
Majibullah AnsariDepartment of Nephrology, Dr Ram Manohar Lohia Institute of Medical Sciences, 4th floor, OPD Block Vibhuti Khand, Lucknow, Uttar Pradesh, 226010, India.
Namrata RaoDepartment of Nephrology, Dr Ram Manohar Lohia Institute of Medical Sciences, 4th floor, OPD Block Vibhuti Khand, Lucknow, Uttar Pradesh, 226010, India. snamratarao@yahoo.co.in.ORCID http://orcid.org/0000-0002-5733-4218
Abhilash ChandraDepartment of Nephrology, Dr Ram Manohar Lohia Institute of Medical Sciences, 4th floor, OPD Block Vibhuti Khand, Lucknow, Uttar Pradesh, 226010, India.
Shashwat VermaDepartment of Nuclear Medicine, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.
Prabhaker MishraDepartment of Biostatistics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Ayush LohiyaDepartment of Community Medicine, Kalyan Singh Super Specialty Cancer Institute, Lucknow, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSerum creatinine-based glomerular filtration rate (GFR) estimating equations are imprecise and systemic overestimate GFR in chronic kidney disease (CKD) populations with low muscle mass. Bioimpedance devices can measure body cell mass (BCM), a surrogate for muscle mass which has been included in a published GFR estimating equation. This BCM GFR equation is validated and compared with MDRD and CKD-EPI 2021 equations in an Indian CKD population.

methodsPatients with stable CKD stages 1-5 and voluntary kidney donors underwent measurement of serum creatinine, DTPA GFR and bioimpedance on the same day. BCM GFR was tested for consistency, agreement and performance with respect to DTPA GFR.

resultsA total of 125 study participants were enrolled, including 106 patients with CKD (Stage 1: 8; stage 2: 32, stage 3: 42, stage 4: 20 and stage 5: 4 patients) and 19 voluntary kidney donors, with 66% males, and a mean age of 43.3 (± 16.5) years. The median bias of BCM GFR was 5.45 ml/min/1.73 m2 [95% confidence interval (CI) 4.2-8.3], absolute precision was 10.16 ml/min/1.73 m

conclusionBCM-based GFR estimating equation performed better than MDRD and CKD-EPI equations in this Indian CKD population, and BCM GFR-based KDIGO staging was associated with lesser misclassification than the MDRD and CKD-EPI equations. TRIAL REGISTRATION (PROSPECTIVE): Clinical Trials Registry of India (CTRI/2019/11/021850).

Indexed as

Renal Insufficiency, ChronicAdultCreatinineFemaleGlomerular Filtration RateHumansMalePentetic AcidProspective StudiesCreatininePentetic AcidBody compositionChronic kidney diseaseGlomerular filtration rateRenal insufficiency

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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.