Evidence map›Paper›PMID 34233570›Full record

ArticleRenal failure2021

A validation study of UCSD-Mayo risk score in predicting hospital-acquired acute kidney injury in COVID-19 patients.

Zhengying Fang, Chenni Gao, Yikai Cai, Lin Lu, Haijin Yu, Hafiz Muhammad Jafar Hussain, Zijin Chen, Chuanlei Li, Wenjie Wei, Yuhan Huang and 21 more

Open access · goldAbstract readMulticenter StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 12 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

31 authors at 4 institutions in 1 country.

Zhengying FangDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Chenni GaoDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Yikai CaiDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Lin LuDepartment of Nephrology, North Huashan Hospital, Fudan University, Shanghai, PR China.
Haijin YuDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Hafiz Muhammad Jafar HussainDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Zijin ChenDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Chuanlei LiDepartment of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, PR China.
Wenjie WeiDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Yuhan HuangDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Xiang LiDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Shuwen YuDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Yinhong JiDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Qinjie WengDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Yan OuyangDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Xiaofan HuDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Jun TongDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Jian LiuDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Mingyu LiuWuhan Ninth Hospital, Wuhan, PR China.
Xiaoman XuRenal Department, Wuhan Ninth Hospital, Wuhan, PR China.
Yixin ZhaClinical Research Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, PR China.
Zhiyin YeDepartment of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, PR China.
Tingting JiangDepartment of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, PR China.
Jieshuang JiaDepartment of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, PR China.
Jialin LiuDepartment of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University, School of medicine, Shanghai, PR China.ORCID https://orcid.org/0000-0001-8763-7351
Yufang BiDepartment of Endocrinology and Metabolism disease, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Nan ChenDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Weiguo HuDepartment of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Huiming WangRenal Department of Renmin Hospital, Renmin Hospital of Wuhan University, Wuhan, PR China.
Jun LiuDepartment of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, PR China.ORCID https://orcid.org/0000-0003-4584-8200
Jingyuan XieDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, PR China.
Shanghai Jiao Tong University · CNSoochow University · CNFudan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute kidney injury (AKI) in coronavirus disease 2019 (COVID-19) patients is associated with poor prognosis. Early prediction and intervention of AKI are vital for improving clinical outcome of COVID-19 patients. As lack of tools for early AKI detection in COVID-19 patients, this study aimed to validate the USCD-Mayo risk score in predicting hospital-acquired AKI in an extended multi-center COVID-19 cohort.

methodsFive hundred seventy-two COVID-19 patients from Wuhan Tongji Hospital Guanggu Branch, Wuhan Leishenshan Hospital, and Wuhan No. Ninth Hospital was enrolled for this study. Patients who developed AKI or reached an outcome of recovery or death during the study period were included. Predictors were evaluated according to data extracted from medical records.

resultsOf all patients, a total of 44 (8%) developed AKI. The UCSD-Mayo risk score achieved excellent discrimination in predicting AKI with the C-statistic of 0.88 (95%CI: 0.84-0.91). Next, we determined the UCSD-Mayo risk score had good overall performance (Nagelkerke

conclusionsWe validated the performance of UCSD-Mayo risk score in predicting hospital-acquired AKI in COVID-19 patients was excellent except for patients from ICU or patients with mechanical ventilation.

Indexed as

Severity of Illness IndexAcute Kidney InjuryAdultAgedChinaCOVID-19FemaleHospital MortalityHumansMaleMiddle AgedPrognosisRegression AnalysisRetrospective StudiesRisk FactorsSARS-CoV-2acute kidney injuryCOVID-19proximal tubulerisk factors

Identifiers

PMID34233570
PMCPMC8274539
OpenAlexW3182187825

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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.