Evidence map›Paper›PMID 36244984›Full record

ArticleRespiratory research2022

Diagnostic and prognostic value of ventilatory power in pulmonary hypertension.

Xin Li, Yi Zhang, Qi Jin, Zhihui Zhao, Qing Zhao, Lu Yan, Anqi Duan, Zhihua Huang, Meixi Hu, Changming Xiong and 2 more

Abstract read
In one paragraph

Article in Respiratory research, 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

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

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

12 authors.

Xin Li *Center for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Yi Zhang *Center for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Qi Jin *Center for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Zhihui ZhaoCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Qing ZhaoCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Lu YanCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Anqi DuanCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Zhihua HuangCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Meixi HuCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Changming XiongCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
Qin LuoCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China. luoqin2009@163.com.
Zhihong LiuCenter for Pulmonary Vascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Fuwai Hospital, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China. zhihongliufuwai@163.com.

Funding

Beijing Municipal Natural Science Foundation 7202168CAMS Innovation Fund for Medical Sciences (CIFMS) 2020-I2M-C&T-B-055CAMS Innovation Fund for Medical Sciences (CIFMS) 2021-I2M-C&T-B-032"Double First-Class" Discipline Construction Fund of Peking Union Medical College and Chinese Academy of Medical Sciences 2019E-XK04-02the Capital's Funds for Health Improvement and Research (CFH) 2020-2-4033the Capital's Funds for Health Improvement and Research (CFH) 2020-4-4035the Youth Fund of Zhongshan Hospital, Fudan University 2021-016
6 · The paper itself

Abstract

backgroundVentilatory power is a novel index which could reflect both ventilation efficiency and peripheral blood flow. However, its clinical value in pulmonary hypertension (PH) is rarely discussed. In the present study, we aimed to investigate the diagnostic and prognostic value of ventilatory power as well as its association with disease severity in PH.

methodsConsecutive patients with normal hemodynamics and patients diagnosed with PH between September, 2012 and December, 2020 in Fuwai hospital were enrolled. Receiver operating characteristic curves were constructed to determine diagnostic power of ventilatory power and tricuspid regurgitation velocity (TRV). Spearman correlation coefficients were used to evaluate bivariate correlation. Multivariable Cox analysis were used to evaluate the association between ventilatory power and clinical worsening.

resultsA total of 679 patients were included in the study, among whom 177 were patients with normal hemodynamics, and 502 were patients with PH. Among patients with PH, those experiencing clinical worsening had lower ventilatory power than those did not. The area under the curve of TRV plus ventilatory power was higher than TRV used alone when identifying overt and borderline PH. Ventilatory power was also correlated with well-validated variables that reflected severity of PH, such as NT-proBNP. Multivariable Cox analysis showed that ventilatory power could independently predict clinical worsening and could improve the predictive power of the current PH risk assessment tool.

conclusionVentilatory power could improve the predictive power of TRV in identifying overt PH and borderline PH. Moreover, it could reflect disease severity and independently predict clinical worsening.

Indexed as

Hypertension, PulmonaryEchocardiography, DopplerHemodynamicsHumansPrognosisROC CurvePrognosisPulmonary hypertensionSeverityVentilatory power

Identifiers

PMID36244984
PMCPMC9575278

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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.