Evidence map›Paper›PMID 34095304›Full record

ArticleBioMed research international2021

Prognostic Value of Blood Urea Nitrogen/Creatinine Ratio for Septic Shock: An Analysis of the MIMIC-III Clinical Database.

Didi Han, Luming Zhang, Shuai Zheng, Fengshuo Xu, Chengzhuo Li, Rui Yang, Wen Ma, Haiyan Yin, Jun Lyu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 2 institutions in 1 country.

Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province 510630, China.ORCID https://orcid.org/0000-0002-6975-2783
Luming ZhangIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.ORCID https://orcid.org/0000-0002-4084-7762
Shuai ZhengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province 510630, China.ORCID https://orcid.org/0000-0002-6428-2372
Fengshuo XuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province 510630, China.ORCID https://orcid.org/0000-0001-6658-7340
Chengzhuo LiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province 510630, China.ORCID https://orcid.org/0000-0002-1622-2850
Rui YangDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province 510630, China.ORCID https://orcid.org/0000-0002-9679-7338
Wen MaSchool of Public Health, Xi'an Jiaotong University Health Science Center, Shaanxi Province 710061, China.ORCID https://orcid.org/0000-0001-5872-7868
Haiyan YinIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.ORCID https://orcid.org/0000-0002-9680-4219
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province 510630, China.ORCID https://orcid.org/0000-0002-2237-8771
First Affiliated Hospital of Jinan University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has previously been done into the risk factors for mortality in septic shock patients. However, there has been no epidemiological study investigating the effect of the blood urea nitrogen/creatinine ratio (BCR) on the prognosis of critically ill septic shock patients. This study is aimed at determining the relationship between BCR and all-cause mortality in adult septic shock patients.

methodsData were extracted from the MIMIC-III database. The clinical endpoints were 28-, 90-, and 365-day all-cause mortality rates in critically ill septic shock patients. Cox proportional hazards models and subgroup analyses were used to analyze the relationship between BCR quartiles and all-cause mortality in septic shock patients. Receiver operator characteristic (ROC) curves and areas under the ROC curves (AUCs) were calculated to evaluate how accurately BCR predicts the mortality of septic shock patients.

resultsAmong the 2484 septic shock patients extracted from the database, 619, 563, 677, and 625 fell into the first (<14.4 mg/dL), second (≥14.4 mg/dL and <20.0 mg/dL), third (≥20.0 mg/dL and <27.3 mg/dL), and fourth (≥27.3 mg/dL) quartiles of BCR, respectively. Male and white patients accounted for 53.8% (1336 patients) and 74.8% (1857 patients) of the population, respectively. The mean age of the population was 67.7 ± 15.8 years. An inverse M-shaped relationship between BCR and mortality in septic shock patients was identified, with a value of ≥27.3 mg/dL providing the highest risk (HR = 1.596, 95% CI: 1.396-1.824,

conclusionAn inverse M-shaped curve was determined between BCR and the mortality of septic shock patients. BCR was identified as a readily available and independent prognostic biomarker for septic shock patients, and higher BCRs were associated with increased mortality in these patients.

Indexed as

Blood Urea NitrogenAgedAged, 80 and overArea Under CurveChinaCreatinineDatabases, FactualFemaleHumansMaleMiddle AgedOrgan Dysfunction ScoresPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsCreatinine

Identifiers

PMID34095304
PMCPMC8164535
OpenAlexW3165788873

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.