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Article ; Online: Role of B-Type Natriuretic Peptide in the Early Detection of Preclinical Heart Failure　- Is B-Type Natriuretic Peptide the Best Tool to Find the "Invisible Enemy"?

Nogi, Kazutaka / Hikoso, Shungo

Circulation journal : official journal of the Japanese Circulation Society

2024 Volume 88, Issue 5, Page(s) 740–741

MeSH term(s)	Heart Failure/blood ; Heart Failure/diagnosis ; Humans ; Natriuretic Peptide, Brain/blood ; Early Diagnosis ; Biomarkers/blood
Chemical Substances	Natriuretic Peptide, Brain (114471-18-0) ; Biomarkers
Language	English
Publishing date	2024-03-26
Publishing country	Japan
Document type	Editorial ; Journal Article
ZDB-ID	2068090-9
ISSN	1347-4820 ; 1346-9843
ISSN (online)	1347-4820
ISSN	1346-9843
DOI	10.1253/circj.CJ-24-0187
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Article ; Online: Prognostic impact and predictors of persistent renal dysfunction in acute kidney injury after percutaneous coronary intervention for acute myocardial infarction.

Nakamura, Takuya / Watanabe, Makoto / Sugiura, Junichi / Kyodo, Atsushi / Nobuta, Saki / Nogi, Kazutaka / Nakada, Yasuki / Ishihara, Satomi / Hashimoto, Yukihiro / Nakagawa, Hitoshi / Ueda, Tomoya / Seno, Ayako / Nishida, Taku / Onoue, Kenji / Hikoso, Shungo

Scientific reports

2024 Volume 14, Issue 1, Page(s) 6299

Abstract: This study aimed to evaluate the prognostic impact and predictors of persistent renal dysfunction in acute kidney injury (AKI) after an emergency percutaneous coronary intervention (PCI) for acute myocardial infarction (AMI). A total of 877 patients who ... ...

Abstract	This study aimed to evaluate the prognostic impact and predictors of persistent renal dysfunction in acute kidney injury (AKI) after an emergency percutaneous coronary intervention (PCI) for acute myocardial infarction (AMI). A total of 877 patients who underwent emergency PCI for AMI were examined. AKI was defined as serum creatinine (SCr) ≥ 0.3 mg/dL or ≥ 50% from baseline within 48 h after PCI. Persistent AKI was defined as residual impairment of SCr ≥ 0.3 mg/dL or ≥ 50% from baseline 1 month after the procedure. The primary outcome was the composite endpoints of death, myocardial infarction, hospitalization for heart failure, stroke, and dialysis. AKI and persistent AKI were observed in 82 (9.4%) and 25 (2.9%) patients, respectively. Multivariate Cox proportional hazards analysis demonstrated that persistent AKI, but not transient AKI, was an independent predictor of primary outcome (hazard ratio, 4.99; 95% confidence interval, 2.30-10.8; P < 0.001). Age > 75 years, left ventricular ejection fraction < 40%, a high maximum creatinine phosphokinase MB level, and bleeding after PCI were independently associated with persistent AKI. Persistent AKI was independently associated with worse clinical outcomes in patients who underwent emergency PCI for AMI. Advanced age, poor cardiac function, large myocardial necrosis, and bleeding were predictors of persistent AKI.
MeSH term(s)	Humans ; Aged ; Prognosis ; Percutaneous Coronary Intervention/adverse effects ; Stroke Volume ; Contrast Media/adverse effects ; Risk Factors ; Ventricular Function, Left ; Myocardial Infarction/etiology ; Acute Kidney Injury ; Creatinine ; Retrospective Studies
Chemical Substances	Contrast Media ; Creatinine (AYI8EX34EU)
Language	English
Publishing date	2024-03-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-56929-y
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Article ; Online: Evaluation of the A

Kyodo, Atsushi / Nakada, Yasuki / Nogi, Maki / Nogi, Kazutaka / Ishihara, Satomi / Ueda, Tomoya / Tohyama, Takeshi / Enzan, Nobuyuki / Ide, Tomomi / Matsushima, Shouji / Tsutsui, Hiroyuki / Saito, Yoshihiko

Journal of the American Heart Association

2024 Volume 13, Issue 4, Page(s) e031104

Abstract: Background: Although a tool for sharing patient prognosis among all medical staff is desirable in heart failure (HF) cases, only a few simple HF prognostic scores are available. We previously presented the A: Methods and results: We examined the 2- ... ...

Abstract	Background: Although a tool for sharing patient prognosis among all medical staff is desirable in heart failure (HF) cases, only a few simple HF prognostic scores are available. We previously presented the A Methods and results: We examined the 2-year mortality in relation to the A Conclusions: The A
MeSH term(s)	Humans ; Aged ; Japan/epidemiology ; Natriuretic Peptide, Brain ; Heart Failure/diagnosis ; Prognosis ; Anemia/diagnosis ; Hemoglobins ; Peptide Fragments ; Biomarkers
Chemical Substances	Natriuretic Peptide, Brain (114471-18-0) ; Hemoglobins ; Peptide Fragments ; Biomarkers
Language	English
Publishing date	2024-02-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2653953-6
ISSN	2047-9980 ; 2047-9980
ISSN (online)	2047-9980
ISSN	2047-9980
DOI	10.1161/JAHA.123.031104
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Article ; Online: Derivation and validation of a clinical predictive model of NT-proBNP ≥125 pg/mL to detect pre-heart failure.

Nogi, Kazutaka / Yamamoto, Ryohei / Ueda, Tomoya / Nogi, Maki / Ishihara, Satomi / Nakada, Yasuki / Hashimoto, Yukihiro / Nakagawa, Hitoshi / Nishida, Taku / Seno, Ayako / Onoue, Kenji / Watanabe, Makoto / Takaya, Norihide / Masuda, Izuru / Saito, Yoshihiko

Journal of cardiology

2023 Volume 82, Issue 6, Page(s) 481–489

Abstract: Background: Several guidelines recommend the measurement of N-terminal pro-B-type natriuretic peptide (NT-proBNP) to diagnose heart failure (HF); however, no screening criteria for measuring NT-proBNP in asymptomatic patients exist. We develop/validate ... ...

Abstract	Background: Several guidelines recommend the measurement of N-terminal pro-B-type natriuretic peptide (NT-proBNP) to diagnose heart failure (HF); however, no screening criteria for measuring NT-proBNP in asymptomatic patients exist. We develop/validate a clinical prediction model for elevated NT-proBNP to support clinical outpatient decision-making. Methods: In this multicenter cohort study, we used a derivation cohort (24 facilities) from 2017 to 2021 and a validation cohort at one facility from 2020 to 2021. Patients were aged ≥65 years with at least one risk factor of HF. The primary endpoint was NT-proBNP ≥125 pg/mL. The final model was selected using backward stepwise logistic regression analysis. Diagnostic performance was evaluated for sensitivity and specificity, the area under the curve (AUC), and calibration. In total, 1645 patients (derivation cohort, n = 837; validation cohort, n = 808) were included, of whom 378 (23.0 %) had NT-proBNP ≥125 pg/mL. Body mass index, age, systolic blood pressure, estimated glomerular filtration rate, cardiothoracic ratio, and heart disease were used as predictors and aggregated into a BASE-CH score of 0-11 points. Results: Internal validation resulted in an AUC of 0.74 and an external validation AUC of 0.70. Conclusions: Based on available clinical and laboratory variables, we developed and validated a new risk score to predict NT-proBNP ≥125 pg/mL in patients at risk for HF or with pre-HF.
MeSH term(s)	Humans ; Natriuretic Peptide, Brain ; Cohort Studies ; Models, Statistical ; Prognosis ; Heart Failure/diagnosis ; Peptide Fragments ; Biomarkers
Chemical Substances	pro-brain natriuretic peptide (1-76) ; Natriuretic Peptide, Brain (114471-18-0) ; Peptide Fragments ; Biomarkers
Language	English
Publishing date	2023-05-28
Publishing country	Netherlands
Document type	Multicenter Study ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	639364-0
ISSN	1876-4738 ; 0386-2887 ; 0914-5087
ISSN (online)	1876-4738
ISSN	0386-2887 ; 0914-5087
DOI	10.1016/j.jjcc.2023.05.011
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Article ; Online: Clinical Course of Optical Coherence Tomography-Detected Lipid-Rich Coronary Plaque After Optimal Medical Therapy.

Sugiura, Junichi / Soeda, Tsunenari / Kyodo, Atsushi / Nakamura, Takuya / Okamura, Akihiko / Nogi, Kazutaka / Hashimoto, Yukihiro / Ueda, Tomoya / Watanabe, Makoto / Saito, Yoshihiko

Circulation reports

2021 Volume 4, Issue 1, Page(s) 29–37

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2021-12-03
Publishing country	Japan
Document type	Journal Article
ISSN	2434-0790
ISSN (online)	2434-0790
DOI	10.1253/circrep.CR-21-0147
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Article ; Online: Intermittent Hemodialysis for Managing Metabolic Acidosis During Resuscitation of Septic Shock: A Descriptive Study.

Nogi, Kazutaka / Shiraishi, Atsushi / Yamamoto, Ryohei / Sasano, Mikio / Matsumoto, Takashi / Karumai, Toshiyuki / Hayashi, Yoshiro

Critical care explorations

2019 Volume 1, Issue 12, Page(s) e0065

Abstract: Septic shock is often complicated by severe metabolic acidosis, for which renal replacement therapy may be considered. However, little is known about the use of intermittent hemodialysis to manage this condition. The aim of this study was to compare ... ...

Abstract	Septic shock is often complicated by severe metabolic acidosis, for which renal replacement therapy may be considered. However, little is known about the use of intermittent hemodialysis to manage this condition. The aim of this study was to compare physiologic and biochemical variables and vasopressor requirements before and after intermittent hemodialysis among patients who received intermittent hemodialysis to manage metabolic acidosis during resuscitation of septic shock. Design: This retrospective, cross-sectional study was conducted between April 2014 and September 2015. Settings: The ICU of a non-university-affiliated teaching hospital. Patients: Patients who were admitted to the ICU with septic shock and underwent intermittent hemodialysis to manage metabolic acidosis within 48 hours after the diagnosis of septic shock. Measurements and main results: The main outcomes were mean arterial pressure, minute ventilator volume, norepinephrine requirement, bicarbonate and pH before and after intermittent hemodialysis. Of 1,190 patients screened, 34 were included, and 33 accomplished a planned session of intermittent hemodialysis. After intermittent hemodialysis, an increased mean arterial pressure (+9.0 mm Hg; 95% CI, 6-13; Conclusions: In conclusion, intermittent hemodialysis appeared to be feasible and to stabilize hemodynamic and respiratory conditions in patients with septic shock complicated by metabolic acidosis during resuscitation.
Language	English
Publishing date	2019-12-10
Publishing country	United States
Document type	Journal Article
ISSN	2639-8028
ISSN (online)	2639-8028
DOI	10.1097/CCE.0000000000000065
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Article ; Online: Heart failure with preserved ejection fraction phenogroup classification using machine learning.

Kyodo, Atsushi / Kanaoka, Koshiro / Keshi, Ayaka / Nogi, Maki / Nogi, Kazutaka / Ishihara, Satomi / Kamon, Daisuke / Hashimoto, Yukihiro / Nakada, Yasuki / Ueda, Tomoya / Seno, Ayako / Nishida, Taku / Onoue, Kenji / Soeda, Tsuneari / Kawakami, Rika / Watanabe, Makoto / Nagai, Toshiyuki / Anzai, Toshihisa / Saito, Yoshihiko

ESC heart failure

2023 Volume 10, Issue 3, Page(s) 2019–2030

Abstract: Aims: Heart failure (HF) with preserved ejection fraction (HFpEF) is a complex syndrome with a poor prognosis. Phenotyping is required to identify subtype-dependent treatment strategies. Phenotypes of Japanese HFpEF patients are not fully elucidated, ... ...

Abstract	Aims: Heart failure (HF) with preserved ejection fraction (HFpEF) is a complex syndrome with a poor prognosis. Phenotyping is required to identify subtype-dependent treatment strategies. Phenotypes of Japanese HFpEF patients are not fully elucidated, whose obesity is much less than Western patients. This study aimed to reveal model-based phenomapping using unsupervised machine learning (ML) for HFpEF in Japanese patients. Methods and results: We studied 365 patients with HFpEF (left ventricular ejection fraction >50%) as a derivation cohort from the Nara Registry and Analyses for Heart Failure (NARA-HF), which registered patients with hospitalization by acute decompensated HF. We used unsupervised ML with a variational Bayesian-Gaussian mixture model (VBGMM) with common clinical variables. We also performed hierarchical clustering on the derivation cohort. We adopted 230 patients in the Japanese Heart Failure Syndrome with Preserved Ejection Fraction Registry as the validation cohort for VBGMM. The primary endpoint was defined as all-cause death and HF readmission within 5 years. Supervised ML was performed on the composite cohort of derivation and validation. The optimal number of clusters was three because of the probable distribution of VBGMM and the minimum Bayesian information criterion, and we stratified HFpEF into three phenogroups. Phenogroup 1 (n = 125) was older (mean age 78.9 ± 9.1 years) and predominantly male (57.6%), with the worst kidney function (mean estimated glomerular filtration rate 28.5 ± 9.7 mL/min/1.73 m Conclusions: ML could successfully stratify Japanese HFpEF patients into three phenogroups (atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups).
MeSH term(s)	Humans ; Male ; Female ; Heart Failure ; Stroke Volume ; Ventricular Function, Left ; Atrial Fibrillation/epidemiology ; Hypertrophy, Left Ventricular ; Bayes Theorem ; Reproducibility of Results ; Machine Learning ; Atherosclerosis
Language	English
Publishing date	2023-04-12
Publishing country	England
Document type	Journal Article
ZDB-ID	2814355-3
ISSN	2055-5822 ; 2055-5822
ISSN (online)	2055-5822
ISSN	2055-5822
DOI	10.1002/ehf2.14368
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Article ; Online: Prevention of Contrast-Induced Nephropathy After Emergency Percutaneous Coronary Intervention With a Single Bolus Administration of High-Concentrate Sodium Bicarbonate　- Rationale and Design of a Single-Arm Study Compared With Historical Controls.

Nakamura, Takuya / Watanabe, Makoto / Nogi, Kazutaka / Kosugi, Takaaki / Hashimoto, Yukihiro / Ueda, Tomoya / Doi, Naofumi / Kawata, Hiroyuki / Horii, Manabu / Ishigami, Kenichi / Nakajima, Tamio / Watabe, Hiroaki / Abe, Daisuke / Kuwahara, Koichiro / Okumura, Yasuo / Ozu, Naoki / Suzuki, Shota / Kasama, Shu / Saito, Yoshihiko

Circulation reports

2023 Volume 5, Issue 4, Page(s) 152–156

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2023-03-09
Publishing country	Japan
Document type	Journal Article
ISSN	2434-0790
ISSN (online)	2434-0790
DOI	10.1253/circrep.CR-22-0105
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Article ; Online: Derivation and validation of a machine learning-based risk prediction model in patients with acute heart failure.

Misumi, Kayo / Matsue, Yuya / Nogi, Kazutaka / Fujimoto, Yudai / Kagiyama, Nobuyuki / Kasai, Takatoshi / Kitai, Takeshi / Oishi, Shogo / Akiyama, Eiichi / Suzuki, Satoshi / Yamamoto, Masayoshi / Kida, Keisuke / Okumura, Takahiro / Nogi, Maki / Ishihara, Satomi / Ueda, Tomoya / Kawakami, Rika / Saito, Yoshihiko / Minamino, Tohru

Journal of cardiology

2023 Volume 81, Issue 6, Page(s) 531–536

Abstract: Background: Risk stratification is important in patients with acute heart failure (AHF), and a simple risk score that accurately predicts mortality is needed. The aim of this study is to develop a user-friendly risk-prediction model using a machine- ... ...

Abstract	Background: Risk stratification is important in patients with acute heart failure (AHF), and a simple risk score that accurately predicts mortality is needed. The aim of this study is to develop a user-friendly risk-prediction model using a machine-learning method. Methods: A machine-learning-based risk model using least absolute shrinkage and selection operator (LASSO) regression was developed by identifying predictors of in-hospital mortality in the derivation cohort (REALITY-AHF), and its performance was externally validated in the validation cohort (NARA-HF) and compared with two pre-existing risk models: the Get With The Guidelines risk score incorporating brain natriuretic peptide and hypochloremia (GWTG-BNP-Cl-RS) and the acute decompensated heart failure national registry risk (ADHERE). Results: In-hospital deaths in the derivation and validation cohorts were 76 (5.1 %) and 61 (4.9 %), respectively. The risk score comprised four variables (systolic blood pressure, blood urea nitrogen, serum chloride, and C-reactive protein) and was developed according to the results of the LASSO regression weighting the coefficient for selected variables using a logistic regression model (4 V-RS). Even though 4 V-RS comprised fewer variables, in the validation cohort, it showed a higher area under the receiver operating characteristic curve (AUC) than the ADHERE risk model (AUC, 0.783 vs. 0.740; p = 0.059) and a significant improvement in net reclassification (0.359; 95 % CI, 0.10-0.67; p = 0.006). 4 V-RS performed similarly to GWTG-BNP-Cl-RS in terms of discrimination (AUC, 0.783 vs. 0.759; p = 0.426) and net reclassification (0.176; 95 % CI, -0.08-0.43; p = 0.178). Conclusions: The 4 V-RS model comprising only four readily available data points at the time of admission performed similarly to the more complex pre-existing risk model in patients with AHF.
MeSH term(s)	Humans ; Risk Assessment/methods ; Heart Failure ; Risk Factors ; Hospitalization ; Machine Learning ; Natriuretic Peptide, Brain
Chemical Substances	Natriuretic Peptide, Brain (114471-18-0)
Language	English
Publishing date	2023-02-28
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	639364-0
ISSN	1876-4738 ; 0386-2887 ; 0914-5087
ISSN (online)	1876-4738
ISSN	0386-2887 ; 0914-5087
DOI	10.1016/j.jjcc.2023.02.006
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Article ; Online: New Classification for the Combined Assessment of the Fractional Excretion of Urea Nitrogen and Estimated Plasma Volume Status in Acute Heart Failure.

Nogi, Kazutaka / Ueda, Tomoya / Nakamura, Takuya / Nogi, Maki / Ishihara, Satomi / Nakada, Yasuki / Hashimoto, Yukihiro / Nakagawa, Hitoshi / Nishida, Taku / Seno, Ayako / Onoue, Kenji / Watanabe, Makoto / Saito, Yoshihiko

Journal of the American Heart Association

2022 Volume 12, Issue 1, Page(s) e025596

Abstract: Background The fractional excretion of urea nitrogen (FEUN) has been used as a renal blood flow index related to cardiac output, and the estimated plasma volume status (ePVS) as a body fluid volume index. However, the usefulness of their combination in ... ...

Abstract	Background The fractional excretion of urea nitrogen (FEUN) has been used as a renal blood flow index related to cardiac output, and the estimated plasma volume status (ePVS) as a body fluid volume index. However, the usefulness of their combination in acute decompensated heart failure (HF) management is unclear. We investigated the effect of 4 hemodynamic categories according to the high and low FEUN and ePVS values at discharge on the long-term prognosis of patients with acute decompensated HF. Methods and Results Between April 2011 and December 2018, we retrospectively identified 466 patients with acute decompensated HF with FEUN and ePVS values at discharge. Primary end point was postdischarge all-cause death. Secondary end points were (1) the composite of all-cause death and HF readmission, and (2) HF readmission in a time-to-event analysis. The patients were divided into 4 groups according to the high/low FEUN (≥35%, <35%) and ePVS (>5.5%, ≤5.5%) values at discharge: high-FEUN/low-ePVS, high-FEUN/high-ePVS, low-FEUN/low-ePVS, and low-FEUN/high-ePVS groups. During a median follow-up period of 28.1 months, there were 173 all-cause deaths (37.1%), 83 cardiovascular deaths (17.8%), and 121 HF readmissions (26.0%). The Kaplan-Meier curve analysis showed that the high-FEUN/low-ePVS group had a better prognosis than the other groups (log-rank test,
MeSH term(s)	Humans ; Plasma Volume/physiology ; Retrospective Studies ; Aftercare ; Patient Discharge ; Heart Failure ; Prognosis ; Urea ; Body Fluids ; Nitrogen
Chemical Substances	Urea (8W8T17847W) ; Nitrogen (N762921K75)
Language	English
Publishing date	2022-12-30
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2653953-6
ISSN	2047-9980 ; 2047-9980
ISSN (online)	2047-9980
ISSN	2047-9980
DOI	10.1161/JAHA.122.025596
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