A prediction model of simple echocardiographic variables to screen for potentially correctable shunts in adult patients with pulmonary arterial hypertension associated with atrial septal defects: a cross-sectional study

被引:0
|
作者
Mingqi Li
Yu Wang
Hezhi Li
Yigao Huang
Tao Huang
Caojin Zhang
Hongwen Fei
机构
[1] Guangdong Cardiovascular Institute,Department of Cardiology
[2] Guangdong Provincial People’s Hospital,undefined
[3] Guangdong Academy of Medical Sciences,undefined
[4] Shantou University Medical College,undefined
来源
The International Journal of Cardiovascular Imaging | 2021年 / 37卷
关键词
Pulmonary arterial hypertension; Atrial septal defect; Echocardiography; Pulmonary vascular resistance;
D O I
暂无
中图分类号
学科分类号
摘要
During the routine follow-up of adult patients with pulmonary arterial hypertension associated with atrial septal defects (ASD-PAH), the suitability of shunt closure depends on the invasive right heart catheterization (RHC). It is difficult to grasp the timing of RHC shunt closure for moderate-severe PAH. This retrospective cross-sectional study was designed to investigate which echocardiographic variables are related to pulmonary vascular resistance (PVR) in adult ASD-PAH patients and propose a method using echocardiographic variables to screen for patients where shunt closure is suitable. A total of 139 adult ASD-PAH patients with a PASP ≥ 60 mmHg measured by transthoracic echocardiogram (TTE) were included in this study. All RHCs were performed within a week after TTE. The Correctable shunt was defined as PVR ≤ 4.6 wood units (WU). Multivariate regressions were performed with echocardiographic variables. The nomogram of prediction model was constructed by the predictors of PVR ≤ 4.6 WU by multivariate logistic regression analysis. Multivariate linear regression revealed that TAPSE (tricuspid annular plane systolic excursion)/pulmonary artery systolic pressure (PASP) measured by TTE was negatively associated with PVR (β per SD: − 1.84, 95%CI − 2.62, − 1.06). Multivariate logistic regression showed that TAPSE/PASP and pulmonary valve (PV) peak velocity were positively associated with a potentially correctable shunt (PVR ≤ 4.6 WU) (OR per SD: 2.38, 95%CI 1.34, 4.25, and OR per SD: 2.67, 95%CI 1.26, 5.64, respectively). In receiver operating characteristic analysis, the TAPSE/PASP + PV peak velocity combined model achieved the best performance (AUC: 0.8584, sensitivity: 83.33%, specificity: 72.16%). Internal verification showed stable performance (AUC: 0.8591, sensitivity: 88.10%, specificity: 68.04%). The net benefit of this model was greater than other models when it came to a wide range probability threshold in decision curve analysis. TAPSE/PASP + PV the peak velocity model may have great value in predicting adult ASD-PAH patients with operability potential, which could help clinicians make the treatment decision for follow-up patients.
引用
收藏
页码:1551 / 1562
页数:11
相关论文
共 15 条
  • [1] A prediction model of simple echocardiographic variables to screen for potentially correctable shunts in adult patients with pulmonary arterial hypertension associated with atrial septal defects: a cross-sectional study
    Li, Mingqi
    Wang, Yu
    Li, Hezhi
    Huang, Yigao
    Huang, Tao
    Zhang, Caojin
    Fei, Hongwen
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2021, 37 (05) : 1551 - 1562
  • [2] A prediction model of echocardiographic variables to screen for potentially correctable shunts in adult atrial septal defect-pulmonary hypertension patients
    Li, He-Zhi
    Wen, Song
    Huang, Ze-Han
    Fei, Hong-Wen
    Zhang, Cao-Jin
    JOURNAL OF THE CHINESE MEDICAL ASSOCIATION, 2025, 88 (01) : 71 - 79
  • [3] Inaccuracy of doppler echocardiographic estimates of pulmonary artery pressures in adult atrial septal defect patients with pulmonary arterial hypertension
    Zhang Caojin
    Huang Tao
    Huang Xinsheng
    Huang Yigao
    Chen Jimei
    Chen Jiyan
    Wu Shulin
    Zhuang Jian
    CHINESE MEDICAL JOURNAL, 2014, 127 (19) : 3389 - 3395
  • [4] Anxiety and Depression in Patients With Pulmonary Arterial Hypertension in Northwest China: A Cross-Sectional Study
    Zhang, Juxia
    Yin, Yuhuan
    Wen, Yujie
    Shi, Fugui
    Wang, Jiancheng
    FRONTIERS IN PSYCHIATRY, 2022, 12
  • [5] Health-related quality of life of patients with pulmonary arterial hypertension associated with CHD: the multicentre cross-sectional ACHILLE study
    Amedro, Pascal
    Basquin, Adeline
    Gressin, Virginie
    Clerson, Pierre
    Jais, Xavier
    Thambo, Jean-Benoit
    Guerin, Patrice
    Cohen, Sarah
    Bonnet, Damien
    CARDIOLOGY IN THE YOUNG, 2016, 26 (07) : 1250 - 1259
  • [6] Decreased haptoglobin levels inversely correlated with pulmonary artery pressure in patients with pulmonary arterial hypertension: A cross-sectional study
    Nakamura, Hiroyuki
    Kato, Masaru
    Nakaya, Toshitaka
    Kono, Michihiro
    Tanimura, Shun
    Sato, Takahiro
    Fujieda, Yuichiro
    Oku, Kenji
    Ohira, Hiroshi
    Bohgaki, Toshiyuki
    Yasuda, Shinsuke
    Tsujino, Ichizo
    Nishimura, Masaharu
    Atsumi, Tatsuya
    MEDICINE, 2017, 96 (43)
  • [7] Prevalence and determinants of pulmonary hypertension in a group of Cameroonian patients without chronic lung disease: A cross-sectional echocardiographic study
    Jingi A.M.
    Noubiap J.J.
    Tankeu A.T.
    Mfeukeu-Kuate L.
    Nkoke C.
    Kamdem P.
    Menanga A.P.
    Kingue S.
    BMC Research Notes, 10 (1)
  • [8] Association of daily physical activity with psychosocial aspects and functional capacity in patients with pulmonary arterial hypertension: a cross-sectional study
    Nakazato, Layse
    Mendes, Felipe
    Paschoal, Ilma A.
    Oliveira, Daniela C.
    Moreira, Marcos M.
    Pereira, Monica C.
    PULMONARY CIRCULATION, 2021, 11 (01)
  • [9] Association of daily physical activity with psychosocial aspects and functional capacity in patients with pulmonary arterial hypertension: a cross-sectional study
    Nakazato, Layse
    Mendes, Felipe
    Paschoal, Ilma A.
    Oliveira, Daniela C.
    Moreira, Marcos M.
    Pereira, Monica C.
    PULMONARY CIRCULATION, 2021, 11 (02)
  • [10] Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study
    Miura, Kotaro
    Yagi, Ryuichiro
    Miyama, Hiroshi
    Kimura, Mai
    Kanazawa, Hideaki
    Hashimoto, Masahiro
    Kobayashi, Sayuki
    Nakahara, Shiro
    Ishikawa, Tetsuya
    Taguchi, Isao
    Sano, Motoaki
    Sato, Kazuki
    Fukuda, Keiichi
    Deo, Rahul C.
    MacRae, Calum A.
    Itabashi, Yuji
    Katsumata, Yoshinori
    Goto, Shinichi
    ECLINICALMEDICINE, 2023, 63