Evidence map›Paper›PMID 36324018›Full record

ArticleActa diabetologica2023

Prognostic nutritional index as a risk factor for diabetic kidney disease and mortality in patients with type 2 diabetes mellitus.

Junlin Zhang, Yao Chen, Liang Zou, Rong Gong

Open access · bronzeAbstract read
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Article in Acta diabetologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
9.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 86 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Junlin Zhang *Department of Nephrology, The Third People's Hospital of Chengdu, Southwest Jiaotong University, No. 37, Qinglong Street, Chengdu, 610014, Sichuan Province, China.
Yao Chen *Department of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China.
Liang ZouDepartment of Nephrology, The Third People's Hospital of Chengdu, Southwest Jiaotong University, No. 37, Qinglong Street, Chengdu, 610014, Sichuan Province, China.
Rong GongDepartment of Nephrology, The Third People's Hospital of Chengdu, Southwest Jiaotong University, No. 37, Qinglong Street, Chengdu, 610014, Sichuan Province, China. gongr2006@sina.com.ORCID http://orcid.org/0000-0002-9268-2429
Third People's Hospital of Chengdu · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMicroinflammation and malnutrition are common in individuals with type 2 diabetes mellitus (T2DM). We aimed to validate whether prognostic nutritional index (PNI) may increase the risk of diabetic kidney disease (DKD) and all-cause mortality in T2DM patients.

methodsThis retrospective cohort study was based on the National Health and Nutrition Examination Survey (NHANES) and National Death Index (NDI) 2013-2018 database. A total of 14,349 eligible subjects were included, and 2720 of them were with T2DM. PNI was assessed by the 5 × lymphocyte count (10

resultsFor 14,349 participants represented 224.7 million noninstitutionalized residents of the United State, the average PNI was 53.72 ± 0.12, and the prevalence of T2DM was 14.89%. T2DM patients had a lower level of PNI and dietary protein intake, a higher risk of mortality, kidney injury, anemia, arterial hypertension and hyperuricemia, compared with non-T2DM subjects. DKD occurred in 35.06% of diabetic participants and a higher PNI was independently related with a lower risk of DKD (OR 0.64, 95% CI 0.459-0.892, p = 0.01) in T2DM after multivariate adjustment. During a median follow-up of 46 person-months (29-66 months), a total of 233 T2DM individuals died from all causes (mortality rate = 8.17%). Subjects with T2DM who had a higher PNI showed a lower risk of all-cause mortality (HR 0.60, 95% CI 0.37-0.97, p = 0.036).

conclusionsPNI, as a marker of immunonutrition, correlated with the incidence of DKD, and was an independent predictor for all-cause mortality in participants with T2DM. Thus, PNI may conduce to the risk stratification and timely intervention of T2DM patients.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesDietary ProteinsHumansNutritional StatusNutrition AssessmentNutrition SurveysPrognosisRetrospective StudiesRisk FactorsDietary ProteinsAll-cause mortalityDiabetic kidney diseaseImmunonutritionPrognostic nutritional indexType 2 diabetes

Identifiers

PMID36324018
PMCPMC9629877
OpenAlexW4308158468

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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.