Evidence map›Paper›PMID 39819677›Full record

ArticleBMC nephrology2025

Risk factors for the mortality of hemodialysis patients with COVID-19 in northern Hunan province, China.

Zhangxiu He, Zhong Peng, Ning Gao, Shuzhu Zhong, Fengyi Yu, Zixu Tang, Zihao Liao, Song Zhao, Gloria Umwiza, Ming Chen and 1 more

Abstract read
In one paragraph

Article in BMC nephrology, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
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

11 authors.

Zhangxiu HeDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Zhong PengDepartment of Gastroenterolog, Yiyang Central Hospital, Yiyang, Hunan, China.
Ning GaoDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Shuzhu ZhongDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Fengyi YuDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Zixu TangDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Zihao LiaoDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Song ZhaoDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China.
Gloria UmwizaThe First Affiliated Hospital of Hengyang Medical School, University of South China, Hengyang, Hunan Province, 413000, PR China.
Ming ChenThe First Affiliated Hospital of Hengyang Medical School, University of South China, Hengyang, Hunan Province, 413000, PR China. chenmingyxs@163.com.
Wei LongDepartment of Nephrology, Yiyang Central Hospital, 118 Kangfubei Road, Yiyang, Hunan Province, 413000, PR China. 51668558@qq.com.

Funding

Hunan University of Traditional Chinese Medicine Joint Fund 2023XYLH085Innovation Project of Yiyang Science and Technology Bureau 2024YR21Scientific Research Project of Hunan Health Committee 202103051523, B202303109098, and D202303039177
6 · The paper itself

Abstract

purposeExploring the risk factors for mortality of hemodialysis patients undergoing COVID-19 and the changes in mortality before and after the opening of the epidemic in northern Hunan province, China.

methodsWe analyzed 230 hemodialysis patients with COVID-19 in the Yiyang Central Hospital from November 01, 2022 to February 28, 2023. Demographic data, laboratory data and public diseases were collected. Cox regression analysis was used to identify risk factors and independent predictors of mortality. The receiver operating characteristic (ROC) curve was used to determine the diagnostic value of risk factors in hemodialysis COVID-19 patients.

resultsThe average duration of the disease was 12.53 days. The mortality rate in our cohort was 28.70%. Independent predictors of mortality in our cohort were: age (hazard ratio [HR] 1.09; 95% confidence interval [CI], 1.05-1.14; P < 0.001), elevated procalcitonin (PCT) levels (HR 1.02; 95%CI, 1.01-1.03; P < 0.001), and higher white blood cell-neutrophil ratio (NWR) (HR 1.04; 95%CI, 1.04-1.07; P = 0.004). Areas under the ROC curve (AUC) for age, NWR, PCT, age*NWR were 0.70 (95%CI: 0.62-0.77), 0.82 (95%CI: 0.75-0.90), 0.64 (95%CI: 0.55-0.73), and 0.89 (0.85,0.94).

conclusionWe discovered that old age, high levels of NWR and PCT might be predictors of mortality, reported the causes and prognostic predictors of mortality in hemodialysis populations with COVID-19 from northern Hunan, China.

Indexed as

COVID-19Kidney Failure, ChronicRenal DialysisAdultAgedAge FactorsChinaFemaleHumansMaleMiddle AgedPandemicsProcalcitoninRisk FactorsROC CurveSARS-CoV-2ProcalcitoninCOVID-19HemodialysisMortalityPrognosis

Identifiers

PMID39819677
PMCPMC11736950

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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.