Evidence map›Paper›PMID 33335586›Full record

ArticleExperimental and therapeutic medicine2021

Prognostic nutritional index predicts acute kidney injury and mortality of patients in the coronary care unit.

Yugang Hu, Quan Cao, Hao Wang, Yuanting Yang, Ye Xiong, Xiaoning Li, Qing Zhou

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yugang HuDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei 430061, P.R. China.
Quan CaoDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei 430061, P.R. China.
Hao WangDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei 430061, P.R. China.
Yuanting YangDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei 430061, P.R. China.
Ye XiongDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei 430061, P.R. China.
Xiaoning LiDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China.
Qing ZhouDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei 430061, P.R. China.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study aimed to investigate whether prognostic nutritional index (PNI) is an independent predictor of acute kidney injury (AKI) and mortality of patients in the coronary care unit (CCU). In the present two-stage observational study of patients in the CCU, 6,444 patients from the Medical Information Mart for Intensive Care (MIMIC) III database were first enrolled (test cohort), after which 412 patients from Zhongnan Hospital of Wuhan University were recruited in the validation cohort. AKI was defined based on the Kidney Disease Improving Global Outcomes AKI criteria. The primary endpoint was the incidence of AKI stratified by severity, while the second endpoint included in-hospital mortality and 2-year mortality. In the test cohort, 4,457 (69.2%) patients developed AKI during hospitalization. Following multivariable adjustment, the highest quartile of the PNI value was associated with a 1.8-fold increased risk of AKI compared with the lowest quartile. For the prediction of AKI, the area under the receiver operating characteristic curve outperformed the acute physiology score III score and clinical model in patients with or without preexisting chronic kidney disease, and this was further validated in the hospital cohort used in the present study. A total of 2,219 patients suffered mortality during the 2-year follow-up, and PNI was indicated to independently predict the risk of in-hospital mortality and 2-year mortality in the test cohort and in the validation cohort. Decision curve analysis indicated that the PNI values were clinically useful; Therefore, the current study demonstrated that the PNI value is an independent predictor of AKI and mortality in patients within the CCU.

Indexed as

acute kidney injurycoronary care unitMedical Information Mart for Intensive Caremortalityprognostic nutritional index

Identifiers

PMID33335586
PMCPMC7739862
OpenAlexW3108213242

What OpenQuestion holds

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Registered trials

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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.