Evidence map›Paper›PMID 38357174›Full record

Observational studyAfrican health sciences2023

Clinical value of CVP+VIVC in predicting fluid resuscitation in patients with septic shock.

Haitao Zhang, Chang Liu, Aiping Cao, Qiong Hang

Abstract readObservational Study
In one paragraph

Observational study in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

4 authors.

Haitao ZhangDepartment of Critical Care Medicine, Xinrui Hospital, Xinwu District, Wuxi, China.
Chang LiuDepartment of Critical Care Medicine, Xinrui Hospital, Xinwu District, Wuxi, China.
Aiping CaoDepartment of Critical Care Medicine, Guangde People's Hospital, Xuancheng, China.
Qiong HangXinrui Hospital, Xinwu District, Wuxi City. 197 Zhixian Road, Hongshan Town, Xinwu District, Wuxi City, Jiangsu Province.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the clinical value of central venous pressure (CVP) + inferior vena cava respiratory variability (VIVC) in fluid resuscitation in spontaneously breathing patients with septic shock. Methods: In retrospective observational study, during October 2019 to December 2021, 145 patients with septic shock treated in our hospital were enrolled by the method of observational study. According to the change rate of cardiac output (ΔCO) ≥15% or ΔCO<15% after 30 minutes, they were assigned into volume-responsive and volume-unresponsive group depending early fluid resuscitation in sepsis. The clinical value of combination of CVP and VIVC in predicting fluid resuscitation in patients with septic shock was compared. Results: The CVP of the study group was higher at 12h and 24h after fluid resuscitation, and the VIVC level of the study group at 6h, 12h and 24h after fluid resuscitation was higher (P<0.05). Pearson correlation analysis indicated that CVP, and VIVC levels were noticeably correlated with fluid resuscitation in patients with septic shock (P<0.05). The area under curve (AUC) of receiver operating characteristic curve (ROC) of CVP for predicting fluid resuscitation in septic shock patients was 0.694 and the cut-off value was 0.932, the sensitivity was 46.9%, and the specificity was 87.5%. VIVC predicted fluid resuscitation in septic shock patients with an AUC of 0.776, which was a cut-off value of 0.688, a sensitivity of 50.0%, and a specificity of 90.0%. Combination of CVP and VIVC predicted fluid resuscitation in septic shock patients with an AUC of 0.948, which was a cut-off value of 1.420, a sensitivity of 90.6%, and a specificity of 87.5%. Conclusion: Combination of CVP and VIVC may have a good effect on the evaluation of volume responsiveness in patients with septic shock, which is better than single CVP and VIVC. Combination of CVP and VIVC can be adopted to predict fluid responsiveness volume responsiveness in septic shock patients, which is of great significance for guiding clinical fluid responsiveness therapy.

Indexed as

SepsisShock, SepticCardiac OutputCentral Venous PressureHumansROC CurveCVPfluid resuscitationSeptic shockVIVC

Identifiers

PMID38357174
PMCPMC10862638

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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.