Evidence map›Paper›PMID 36247784›Full record

ArticleFrontiers in neurology2022

Increased variability of mean arterial pressure is associated with increased risk of short-term mortality in intensive care unit: A retrospective study.

Jia Yao, Dandan Liu, Weifeng Huang, Yuexin Fang, Yifan Yang, Yingchuan Li, Pengyuan Liu, Xiaoqing Pan

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

8 authors.

Jia YaoDepartment of Mathematics, Shanghai Normal University, Shanghai, China.
Dandan LiuDepartment of Mathematics, Shanghai Normal University, Shanghai, China.
Weifeng HuangDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai, China.
Yuexin FangDepartment of Mathematics, Shanghai Normal University, Shanghai, China.
Yifan YangDepartment of Mathematics, Shanghai Normal University, Shanghai, China.
Yingchuan LiDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai, China.
Pengyuan LiuDepartment of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Xiaoqing PanDepartment of Mathematics, Shanghai Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In intensive care unit (ICU), what thresholds of MAP variability are effective in distinguishing low- and high-risk patients for short-term mortality (in-hospital and 28-day) remains unclear. Methods: Fifteen thousand five hundred sixty adult subjects admitted to ICU at Beth Israel Deaconess Medical Center (Boston, USA) between 2001 and 2012 were included in this retrospective study from MIMIC-III database. MAP within the first 24 h after admission were collected. Quantiles of MAP variability from 10% to 90% with 10% increasement each were considered to divide study participants into two groups, either having coefficients of variation of MAP greater or less than the given threshold. The threshold of MAP variability was identified by maximizing the odds ratio associated with increased risk of short-term mortality (in-hospital and 28-day). Logistic regression and Cox regression models were further applied to evaluate the association between increased variability of MAP and short-term mortality (in-hospital and 28-day). Results: 90% quantile of MAP variability was determined as the threshold generating the largest odds ratio associated with the increased risk of short-term mortality. Increased MAP variability, especially over 90% of MAP variability, was associated with increased risk of in-hospital mortality (odds ratio: 2.351, 95% CI: 2.064-2.673), and 28-day mortality (hazard ratio: 2.064, 95% CI: 1.820-2.337). Conclusion: Increased MAP variability, especially over 90% of MAP variability, is associated with short-term mortality. Our proposed threshold of MAP variability may aid in the early identification of critically ill patients with a high risk of mortality.

Indexed as

coefficient of variationintensive care unit (ICU)mean arterial pressure (MAP)odds ratio (OR)short-term mortality

Identifiers

PMID36247784
PMCPMC9557059

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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.