Evidence map›Paper›PMID 33844109›Full record

ArticleClinical and experimental nephrology2021

Nutritional status and risk of contrast-associated acute kidney injury in elderly patients undergoing percutaneous coronary intervention.

Xiaoqi Wei, Hanchuan Chen, Zhebin You, Jie Yang, Haoming He, Chen He, Weiping Zheng, Kaiyang Lin, Feng Jiang

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  7. Article
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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

9 authors at 1 institution in 1 country.

Xiaoqi Wei *Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China.
Hanchuan Chen *Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China.
Zhebin YouDepartment of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China.
Jie YangDepartment of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China.
Haoming HeDepartment of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China.
Chen HeDepartment of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China.
Weiping ZhengDepartment of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China.
Kaiyang LinDepartment of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China. lky7411@sina.com.
Feng JiangDepartment of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China. jiangfengconut@126.com.ORCID http://orcid.org/0000-0001-8086-958X
Fujian Medical University · CN

Funding

Fujian provincial health technology project 2019-ZQN-10General project of Science and Technology(Fujian Province) 2018J01247high-level hospital foster grants from Fujian Provincial Hospital 2020HSJJ05the Joint Funds for the innovation of science and technology(Fujian province) 2018Y9097young and middle-aged personnel training project of Fujian provincial health commission 2018-ZQN-10
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the connection between malnutrition evaluated by the Controlling Nutritional Status (CONUT) score and the risk of contrast-associated acute kidney injury (CA-AKI) in elderly patients who underwent percutaneous coronary intervention (PCI).

methodsA total of 1308 patients aged over 75 years undergoing PCI was included. Based on the CONUT score, patients were assigned to normal (0-1), mild malnutrition (2-4), moderate-severe malnutrition group (≥ 5). The primary outcome was CA-AKI (an absolute increase in ≥ 0.3 mg/dL or ≥ 50% relative serum creatinine increase 48 h after contrast medium exposure).

resultsOverall, the incidence of CA-AKI in normal, mild, moderate-severe malnutrition group was 10.8%, 11.0%, and 27.2%, respectively (p < 0.01). Compared with moderate-severe malnutrition group, the normal group and the mild malnutrition group showed significant lower risk of CA-AKI in models adjusting for risk factors for CA-AKI and variables in univariate analysis (odds ratio [OR] = 0.48, 95% confidence interval [CI]: 0.26-0.89, p = 0.02; OR = 0.46, 95%CI: 0.26-0.82, p = 0.009, respectively). Furthermore, the relationship were consistent across the subgroups classified by risk factors for CA-AKI except anemia. The risk of CA-AKI related with CONUT score was stronger in patients with anemia. (overall interaction p by CONUT score = 0.012).

conclusionModerate-severe malnutrition is associated with higher risk of CA-AKI in elderly patients undergoing PCI.

Indexed as

Nutritional StatusAcute Kidney InjuryAgedAged, 80 and overContrast MediaFemaleHumansIncidenceMaleMalnutritionPatient AcuityPercutaneous Coronary InterventionRetrospective StudiesRisk FactorsContrast MediaContrast-associated acute kidney injuryControlling Nutritional Status (CONUT) scoreElderlyMalnutritionPercutaneous coronary intervention

Identifiers

PMID33844109
PMCPMC8357678
OpenAlexW3154963082

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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.