Evidence map›Paper›PMID 39499351›Full record

ArticleClinical and experimental nephrology2025

Predictive values of four nutritional indices for adverse outcomes in patients with hypertension.

Hiroki Ejiri, Kenichi Tanaka, Hiroshi Kimura, Hirotaka Saito, Michio Shimabukuro, Koichi Asahi, Tsuyoshi Watanabe, Junichiro James Kazama

Abstract readComparative Study
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Article in Clinical and experimental nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hiroki EjiriDepartment of Nephrology and Hypertension, Fukushima Medical University, 1, Hikariga-Oka, Fukushima, 960-1295, Japan.
Kenichi TanakaDepartment of Nephrology and Hypertension, Fukushima Medical University, 1, Hikariga-Oka, Fukushima, 960-1295, Japan. kennichi@fmu.ac.jp.ORCID http://orcid.org/0000-0003-4655-9355
Hiroshi KimuraDepartment of Nephrology and Hypertension, Fukushima Medical University, 1, Hikariga-Oka, Fukushima, 960-1295, Japan.
Hirotaka SaitoDepartment of Nephrology and Hypertension, Fukushima Medical University, 1, Hikariga-Oka, Fukushima, 960-1295, Japan.
Michio ShimabukuroDivision of Advanced Community Based Care for Lifestyle Related Diseases, Fukushima Medical University, Fukushima, Japan.
Koichi AsahiDivision of Advanced Community Based Care for Lifestyle Related Diseases, Fukushima Medical University, Fukushima, Japan.
Tsuyoshi WatanabeDivision of Advanced Community Based Care for Lifestyle Related Diseases, Fukushima Medical University, Fukushima, Japan.
Junichiro James KazamaDepartment of Nephrology and Hypertension, Fukushima Medical University, 1, Hikariga-Oka, Fukushima, 960-1295, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition, evaluated by nutritional indices, is reportedly related to a poor prognosis in patients with hypertension. However, clinical evidence on which index is more suitable for predicting a kidney prognosis is limited, and it has not been evaluated in hypertension. The aim of the present study was to investigate and compare the predictive values of four nutritional indices: Geriatric Nutritional Risk Index (GNRI); Prognostic Nutrition Index (PNI); Triglycerides × Total cholesterol × Body weight Index (TCBI); and the controlling nutritional status (CONUT) score.

methodsA retrospective, cohort study of 1255 hypertensive patients under care in the Fukushima Cohort Study was conducted. The primary outcome was kidney events, defined as a combination of a 50% decline in eGFR from baseline and renal failure requiring dialysis therapy or kidney transplantation. Kaplan-Meier analyses and multivariate Cox regression analyses were conducted to examine associations between the four nutritional indices and kidney events. The area under the curve (AUC) values of the receiver-operating characteristic curves were also examined to compare the predictive values of these nutritional indices.

resultsLower GNRI, lower PNI, and higher CONUT score were significantly related to a higher risk of kidney events. GNRI (AUC = 0.729, 95% confidence interval 0.681-0.777) and PNI (AUC = 0.710, 95% confidence interval 0.665-0.756) had significantly higher AUCs for kidney events than the TCBI and CONUT score.

conclusionsGNRI and PNI showed greater predictive values for kidney events than other nutritional indices in patients with hypertension.

Indexed as

HypertensionMalnutritionNutritional StatusNutrition AssessmentRenal InsufficiencyAgedCholesterolFemaleGeriatric AssessmentGlomerular Filtration RateHumansJapanMaleMiddle AgedPredictive Value of TestsPrognosisCholesterolTriglyceridesGeriatric nutritional risk indexHypertensionKidneyMalnutritionPrognostic Nutrition Index

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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.