医学部

kawai hideki

  (河合 秀樹)

Profile Information

Affiliation
School of Medicine Faculty of Medicine, Fujita Health University
Degree
博士(医学)

J-GLOBAL ID
201501019845271134
researchmap Member ID
7000012712

Research Areas

 1

Education

 1

Papers

 67
  • Eirin Sakaguchi, Hiroyuki Naruse, Yuya Ishihara, Hidekazu Hattori, Akira Yamada, Hideki Kawai, Takashi Muramatsu, Fumihiko Kitagawa, Hiroshi Takahashi, Junnichi Ishii, Masayoshi Sarai, Masanobu Yanase, Yukio Ozaki, Kuniaki Saito, Hideo Izawa
    Heliyon, 10(13) e32452, Jul 15, 2024  
    The CHA2DS2 -VASc score is a vital clinical tool for evaluating thromboembolic risk in patients with atrial fibrillation (AF). This study investigated the efficacy of the CHA2DS2 -VASc score in a cohort of 737 heterogeneous patients (mean age: 63 years) receiving care in cardiac intensive care units (CICUs), with a creatinine-based estimated glomerular filtration rate (eGFR) of ≥60 mL/min/1.73 m2 upon admission and discharge. Incident chronic kidney disease (CKD) was defined as the emergence of a new-onset eGFR<60 mL/min/1.73 m2, accompanied by a decline of >5 mL/min/1.73 m2 compared to that at discharge. The primary endpoint was the incidence of CKD, and the secondary endpoints included all-cause mortality, cardiovascular events, and progression to end-stage kidney disease. In this cohort, 210 (28 %) patients developed CKD. Multivariate analyses revealed that CHA2DS2 -VASc score was a significant independent predictor of incident CKD, regardless of the presence of AF. Integration of CHA2DS2 -VASc scores with eGFR enhanced the predictive accuracy of incident CKD, as evidenced by the improved C-index, net reclassification improvement, and integrated discrimination improvement values (all p < 0.05). Over the 12-month follow-up period, a composite endpoint was observed in 61 patients (8.3 %), with elevated CHA2DS2 -VASc scores being independently associated with this endpoint. In conclusion, CHA2DS2-VASc scores have emerged as robust predictors of both CKD incidence and adverse outcomes. Their inclusion substantially refined the 12-month risk stratification of patients with preserved renal function hospitalized in the CICUs.
  • Hideki Kawai, Sadako Motoyama, Masayoshi Sarai, Yoshihiro Sato, Takahiro Matsuyama, Ryota Matsumoto, Hiroshi Takahashi, Akio Katagata, Yumi Kataoka, Yoshihiro Ida, Takashi Muramatsu, Yoshiharu Ohno, Yukio Ozaki, Hiroshi Toyama, Jagat Narula, Hideo Izawa
    European radiology, 34(4) 2647-2657, Apr, 2024  
    OBJECTIVES: Evaluation of in-stent restenosis (ISR), especially for small stents, remains challenging during computed tomography (CT) angiography. We used deep learning reconstruction to quantify stent strut thickness and lumen vessel diameter at the stent and compared it with values obtained using conventional reconstruction strategies. METHODS: We examined 166 stents in 85 consecutive patients who underwent CT and invasive coronary angiography (ICA) within 3 months of each other from 2019-2021 after percutaneous coronary intervention with coronary stent placement. The presence of ISR was defined as percent diameter stenosis ≥ 50% on ICA. We compared a super-resolution deep learning reconstruction, Precise IQ Engine (PIQE), and a model-based iterative reconstruction, Forward projected model-based Iterative Reconstruction SoluTion (FIRST). All images were reconstructed using PIQE and FIRST and assessed by two blinded cardiovascular radiographers. RESULTS: PIQE had a larger full width at half maximum of the lumen and smaller strut than FIRST. The image quality score in PIQE was higher than that in FIRST (4.2 ± 1.1 versus 2.7 ± 1.2, p < 0.05). In addition, the specificity and accuracy of ISR detection were better in PIQE than in FIRST (p < 0.05 for both), with particularly pronounced differences for stent diameters < 3.0 mm. CONCLUSION: PIQE provides superior image quality and diagnostic accuracy for ISR, even with stents measuring < 3.0 mm in diameter. CLINICAL RELEVANCE STATEMENT: With improvements in the diagnostic accuracy of in-stent stenosis, CT angiography could become a gatekeeper for ICA in post-stenting cases, obviating ICA in many patients after recent stenting with infrequent ISR and allowing non-invasive ISR detection in the late phase. KEY POINTS: • Despite CT technology advancements, evaluating in-stent stenosis severity, especially in small-diameter stents, remains challenging. • Compared with conventional methods, the Precise IQ Engine uses deep learning to improve spatial resolution. • Improved diagnostic accuracy of CT angiography helps avoid invasive coronary angiography after coronary artery stenting.
  • Daijo Inaguma, Yoshitaka Tatematsu, Naoki Okamoto, Soshiro Ogata, Hideki Kawai, Eiichi Watanabe, Yukio Yuzawa, Midori Hasegawa, Naotake Tsuboi
    BMJ open, 14(1) e076962, Jan 24, 2024  
    INTRODUCTION: Coronary artery and heart valve calcification is a risk factor for cardiovascular death in haemodialysis patients, so calcification prevention should be started as early as possible. Treatment with concomitant calcimimetics and low-dose vitamin D receptor activators (VDRAs) is available, but not enough evidence has been obtained on the efficacy of this regimen, particularly in patients with short dialysis duration. Therefore, this study will evaluate the efficacy and safety of early intervention with upacicalcet, a calcimimetic used to prevent coronary artery calcification in this patient population. METHODS AND ANALYSIS: This multicentre, open-label, randomised, parallel-group controlled study will compare an early intervention group, which received upacicalcet and a low-dose VDRA, with a conventional therapy group, which received a VDRA. The primary endpoint is a change in log coronary artery calcium volume score from baseline to 52 weeks. The main inclusion criteria are as follows: (1) age 18 years or older; (2) dialysis is planned or dialysis duration is less than 60 months; (3) intact parathyroid hormone (PTH) >240 pg/mL or whole PTH level>140 pg/mL; (4) serum-corrected calcium≥8.4 mg/dL and (5) Agatston score >30. The main exclusion criteria are as follows: (1) history of parathyroid intervention or fracture in the past 12 weeks; (2) history of myocardial infarction, stroke or leg amputation in the past 12 weeks; (3) history of coronary angioplasty and (4) heart failure of New York Heart Association class III or worse. ETHICS AND DISSEMINATION: The study will comply with the Declaration of Helsinki and the Japanese Clinical Trials Act. The study protocol has been approved by the Fujita Health University Certified Review Board (file no. CR22-052). Written informed consent will be obtained from all participants. Study results will be presented in academic meetings and peer-reviewed academic journals. TRIAL REGISTRATION NUMBER: jRCTs041220126.
  • Eirin Sakaguchi, Hiroyuki Naruse, Yuya Ishihara, Hidekazu Hattori, Akira Yamada, Hideki Kawai, Takashi Muramatsu, Yoshiki Tsuboi, Ryosuke Fujii, Koji Suzuki, Junnichi Ishii, Kuniaki Saito, Masayoshi Sarai, Masanobu Yanase, Yukio Ozaki, Hideo Izawa
    Scientific reports, 14(1) 75-75, Jan 2, 2024  
    The renal angina index (RAI) is a validated scoring tool for predicting acute kidney injury (AKI). We investigated the efficacy of the RAI in 2436 heterogeneous patients (mean age, 70 years) treated in cardiac intensive care units (CICUs). The RAI was calculated from creatinine and patient condition scores. AKI was diagnosed by the Kidney Disease: Improving Global Outcome criteria. The primary and secondary endpoints were the development of severe AKI and all-cause mortality, respectively. Four hundred thirty-three patients developed AKI, 87 of them severe. In multivariate analyses, the RAI was a significant independent predictor of severe AKI. During the 12-month follow-up period, 210 patients suffered all-cause death. Elevated RAI was independently associated with all-cause mortality, as was NT-proBNP (p < 0.001). The RAI is a potent predictor not only of severe AKI but also of adverse outcomes and substantially improved the 12-month risk stratification of patients hospitalized in CICUs.
  • Shinji Jinno, Akira Yamada, Kunihiko Sugimoto, Jonathan Chan, Chihiro Nakashima, Yusuke Funato, Naoki Hoshino, Meiko Hoshino, Kayoko Takada, Yoshihiro Sato, Hideki Kawai, Masayoshi Sarai, Hiroyasu Ito, Hideo Izawa
    Echocardiography (Mount Kisco, N.Y.), 40(11) 1251-1258, Nov, 2023  
    INTRODUCTION: Coronary computed tomography angiography (CCTA) is known to have a high negative predictive value (NPV) in identifying coronary artery disease (CAD). This study aimed to examine whether resting echocardiographic parameters could exclude significant CAD on CCTA. METHODS: We recruited 142 patients who had undergone both CCTA and echocardiography within a 3-month window. Based on the CCTA findings, patients were divided into two groups: Group A (non-significant CAD, defined as all coronary segments having <50% stenosis) and Group B (significant CAD). Resting echocardiographic parameters were compared between the two groups to identify predictors of non-significant CAD on CCTA. RESULTS: A total 92 patients (mean age, 68 ± 13 years; males, 62%) were eligible for this study; 50 in Group A and 42 in Group B. Among the various echo parameters, left atrial volume index (LAVI) and left ventricular (LV) global longitudinal strain (GLS) were significantly lower in Group A (23.5 ± 7.6 vs. 33.6 ± 7.4 mL/m2 , p < .001; -20.2 ± 1.8% vs. -16.8 ± 2.0%, p < .001, respectively). Analysis of the receiver operating characteristic curve revealed that the cutoff value to exclude significant CAD on CCTA was 29.0 mL/m2 for LAVI (NPV 80.8%) and -18.1% for GLS (NPV 80.7%). The NPV increased to 95.0% when these parameters were combined (LAVI < 29.0 mL/m2 and GLS < -18.1%). CONCLUSION: The combination of resting LAVI and GLS was clinically useful in excluding significant CAD via CCTA.

Misc.

 52

Presentations

 58

Research Projects

 5