Evidence map›Paper›PMID 37733176›Full record

ArticleInternal and emergency medicine2023

Estimated plasma volume status adds prognostic value to hemodynamic parameters in advanced heart failure.

Yihang Wu, Pengchao Tian, Lin Liang, Yuyi Chen, Jiayu Feng, Boping Huang, Liyan Huang, Xuemei Zhao, Jing Wang, Jingyuan Guan and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 6 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

13 authors at 1 institution in 1 country.

Yihang WuHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Pengchao TianHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Lin LiangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Yuyi ChenHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Jiayu FengHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Boping HuangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Liyan HuangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Xuemei ZhaoHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Jing WangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Jingyuan GuanHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Xinqing LiHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
Jian ZhangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China. fwzhangjian62@126.com.
Yuhui ZhangHeart Failure Center, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China. yuhuizhangjoy@163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CAMS Innovation Fund for Medical Science 2020-I2M-1-002National Natural Science Foundation of China 81873472the Key Projects in the National Science and Technology Pillar Program of the 12th Five-Year Plan Period 2011BAI11B08the Key Projects in the National Science and Technology Pillar Program of the 13th Five-Year Plan Period 2017YFC1308300
6 · The paper itself

Abstract

backgroundEstimated plasma volume status (ePVS) is a marker of intravascular congestion and has prognostic value in patients with heart failure (HF). The elevation of intracardiac filling pressures is defined as hemodynamic congestion and is also associated with poor prognosis. However, the relationship between intravascular congestion and hemodynamic congestion remains unclear. This study sought to explore the correlation between ePVS and hemodynamic parameters and determine the association between ePVS and clinical outcomes in patients with advanced HF.

methodsPatients with advanced HF underwent right heart catheterization (RHC) for hemodynamic profiles. The sum of right atrial pressure (RAP) and pulmonary arterial wedge pressure (PAWP) > 30 mmHg was considered to present with hemodynamic congestion. Blood tests were conducted within 24 h of RHC. We calculated ePVS using the Strauss-derived Duarte formula. The primary outcome was all-cause mortality.

resultsA total of 195 patients were divided into two groups based on the cut-off value of ePVS (4.08 dL/g) calculated from receiver operating characteristic analysis. Patients with ePVS > 4.08 dL/g were more likely to present with wet rales (21.2% vs. 9.9%, P = 0.032) and had a higher risk of death (HR 4.748, 95% CI 2.385-9.453), regardless of whether RAP + PAWP was normal or elevated (all P < 0.05). Hemodynamic parameters and ePVS were not correlated (all P > 0.05). High ePVS significantly improved the predictive value beyond the clinical plus hemodynamic prognostic model (area under the curve of 0.844, Delong test, P = 0.024).

conclusionePVS could additionally add prognostic value to hemodynamic parameters in advanced heart failure, although not correlated with hemodynamic parameters.

Indexed as

Heart FailurePlasma VolumeCardiac CatheterizationHemodynamicsHumansPrognosisCongestionEstimated plasma volume statusHeart failureIntracardiac filling pressuresPrognosis

Identifiers

PMID37733176
OpenAlexW4386910657

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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.