JGH Open (Nov 2022)

Simple algorithm to narrow down the candidates to receive echocardiography in patients with chronic liver disease for suspected pulmonary hypertension

  • Koji Yamashita,
  • Masayuki Kurosaki,
  • Hiroyuki Nakanishi,
  • Yuki Tanaka,
  • Shun Ishido,
  • Kento Inada,
  • Sakura Kirino,
  • Yuka Hayakawa,
  • Hiroaki Matsumoto,
  • Tsubasa Nobusawa,
  • Tatsuya Kakegawa,
  • Mayu Higuchi,
  • Kenta Takaura,
  • Shohei Tanaka,
  • Chiaki Maeyashiki,
  • Shun Kaneko,
  • Nobuharu Tamaki,
  • Yutaka Yasui,
  • Kaoru Tsuchiya,
  • Yuka Takahashi,
  • Ryoichi Miyazaki,
  • Takashi Ashikaga,
  • Nobuyuki Enomoto,
  • Namiki Izumi

DOI
https://doi.org/10.1002/jgh3.12821
Journal volume & issue
Vol. 6, no. 11
pp. 774 – 781

Abstract

Read online

Abstract Aims Portopulmonary hypertension (PoPH) is a subtype of pulmonary arterial hypertension related to portal hypertension. The definitive diagnosis of PoPH is made by invasive right heart catheterization. Alternatively, pulmonary arterial hypertension may be recognized noninvasively from the tricuspid regurgitant pressure gradient (TRPG), measured by echocardiography. In this study, we aimed to establish a simple algorithm to identify chronic liver disease patients with a high TRPG value in order to narrow down the candidates to receive echocardiography. Methods and Results TRPG was measured by echocardiography in 152 patients with chronic liver disease. Factors predictive of TRPG >30 mmHg were investigated. There were 28 (18%) cases with TRPG >30 mmHg. Independent factors associated with a high TRPG were the presence of shortness of breath, high serum brain natriuretic peptide (BNP), and low serum albumin. Child–Pugh class or the presence of ascites, varices, or encephalopathy was not associated with TRPG. There was a correlation between the serum BNP and TRPG, and the optimal cutoff value of BNP by the Youden index was 122 pg/mL, and by 100% sensitivity was 50 pg/mL. A combination of these factors identified patients with a high probability of TRPG >30 mmHg (n = 12, positive predictive value [PPV] of 83%), no probability (n = 80, PPV 0%), and intermediate probability (n = 60, PPV 25–34%). This algorithm has reduced the number of patients needing echocardiography by 53%. Conclusions A simple algorithm using the presence of shortness of breath, serum BNP, and albumin levels can narrow down the candidates to receive echocardiography.

Keywords