Makoto Takei

Dr. Makoto Takei

Department of Cardiology, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 April 2015 in International Journal of Cardiology
Verified
Journal Article
Closed access
PDF file
MKMai Kimura
Mai Kimura
MKMasaharu Kataoka
Masaharu Kataoka
TKTakashi Kawakami
Takashi Kawakami
TITaku Inohara
Taku Inohara
MTMakoto Takei
Makoto Takei
KFKeiichi Fukuda
Keiichi Fukuda

1 August 2019 in Journal of Cardiac Failure
Verified
Journal Article
Closed access
MTMakoto Takei
Makoto Takei
SKShun Kohsaka
Shun Kohsaka
YSYasuyuki Shiraishi
Yasuyuki Shiraishi
AGAyumi Goda
Ayumi Goda
Yuji NagatomoYuji Nagatomo
Yuji Nagatomo
TYTsutomu Yoshikawa
Tsutomu Yoshikawa

23 October 2020 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
YSYasuyuki Shiraishi
Yasuyuki Shiraishi
SKShun Kohsaka
Shun Kohsaka
TATakayuki Abe
Takayuki Abe
TNToshiyuki Nagai
Toshiyuki Nagai
AGAyumi Goda
Ayumi Goda
TYTsutomu Yoshikawa
Tsutomu Yoshikawa
Early and rapid risk stratification of patients with acute heart failure (AHF) is crucial for appropriate patient triage and outcome improvements. We aimed to develop an easy-to-use, in-hospital mortality risk prediction tool based on data collected from AHF patients at their initial presentation. Consecutive patients’ data pertaining to 2006–2017 were extracted from the West Tokyo Heart Failure (WET-HF) and National Cerebral and Cardiovascular Center Acute Decompensated Heart Failure (NaDEF) registries (n = 4351). Risk model development involved stepwise logistic regression analysis and prospective validation using data pertaining to 2014–2015 in the Registry Focused on Very Early Presentation and Treatment in Emergency Department of Acute Heart Failure Syndrome (REALITY-AHF) (n = 1682). The final model included data describing six in-hospital mortality risk predictors, namely, age, systolic blood pressure, blood urea nitrogen, serum sodium, albumin, and natriuretic peptide (SOB-ASAP score), available at the time of initial triage. The model showed excellent discrimination (c-statistic = 0.82) and good agreement between predicted and observed mortality rates. The model enabled the stratification of the mortality rates across sixths (from 14.5% to <1%). When assigned a point for each associated factor, the integer score’s discrimination was similar (c-statistic = 0.82) with good calibration across the patients with various risk profiles. The models’ performance was retained in the independent validation dataset. Promptly determining in-hospital mortality risks is achievable in the first few hours of presentation; they correlate strongly with mortality among AHF patients, potentially facilitating clinical decision-making.

25 September 2021 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
SHSatoshi Higuchi
Satoshi Higuchi
TKTakashi Kohno
Takashi Kohno
SKShun Kohsaka
Shun Kohsaka
YSYasuyuki Shiraishi
Yasuyuki Shiraishi
MTMakoto Takei
Makoto Takei
TYTsutomu Yoshikawa
Tsutomu Yoshikawa
The administration of beta-blockers is challenging and their efficacy is unclear in heart failure (HF) patients with chronic obstructive pulmonary disease (COPD). This study aimed to investigate the association of beta-blockers with mortality in such patients. This multicenter observational cohort study included hospitalized HF patients with a left ventricular ejection fraction <50% and evaluated them retrospectively. COPD was diagnosed based on medical records and/or the clinical judgment of each investigator. The study endpoints were two-year all-cause, cardiac, and non-cardiac mortality. This study included 83 patients with COPD and 1760 patients without. Two-year all-cause, cardiac, and non-cardiac mortality were observed in 315 (17%), 149 (8%), and 166 (9%) patients, respectively. Beta-blockers were associated with lower all-cause mortality regardless of COPD (COPD: hazard ratio [HR] 0.39, 95% CI 0.16–0.98, p = 0.044; non-COPD: HR 0.62, 95% CI 0.46–0.83, p = 0.001). This association in HF patients with COPD persisted after multivariate analysis and inverse probability weighting and was due to lower non-cardiac mortality (HR 0.40, 95% CI 0.14–1.18. p = 0.098), not cardiac mortality (HR 0.37, 95% CI 0.07–2.01, p = 0.248). Beta-blockers were associated with lower all-cause mortality in HF patients with COPD due to lower non-cardiac mortality. This may reflect selection biases in beta-blocker prescription.

11 December 2022 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
YMYusuke Miura
Yusuke Miura
SHSatoshi Higuchi
Satoshi Higuchi
TKTakashi Kohno
Takashi Kohno
YSYasuyuki Shiraishi
Yasuyuki Shiraishi
MKMitsunobu Kitamura
Mitsunobu Kitamura
TYTsutomu Yoshikawa
Tsutomu Yoshikawa
Dyskalemia (hypokalemia and hyperkalemia) is a common comorbidity of heart failure (HF). Although dyskalemia is associated with poor prognosis, different prognostic impacts of hypo- and hyperkalemia remain vastly unclear. This study investigated the association of dyskalemia with prognosis in HF patients, especially the mode of death and left ventricular ejection fraction (LVEF). The multicenter study included 3398 patients hospitalized for HF. Patients were divided into three groups based on serum potassium levels at discharge: hypokalemia (<3.5 mEq/L; n = 115 (3.4%)), normokalemia (3.5–5.0 mEq/L; n = 2960 (87.1%)), and hyperkalemia (≥5.0 mEq/L; n = 323 (9.5%)). Two-year all-cause, cardiac, and non-cardiac mortality was evaluated. Association of serum potassium with two-year mortality demonstrated a U-shaped curve, with a worse prognosis for patients with hypokalemia. All-cause mortality at two-years did not differ among the three groups. Hypokalemia was associated with 2-year cardiac death (adjusted hazard ratio (HR), 2.60; 95% confidence interval (CI), 1.20–5.64) in HF with reduced ejection fraction (HFrEF; LVEF < 40%), but not in non-HFrEF. Regardless of LVEF, hyperkalemia was not independently associated with any mortality. Hypokalemia was independently associated with cardiac death, particularly in HFrEF patients. Such an association was not observed in hyperkalemia regardless of LVEF.

29 October 2021 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
MYMidori Yukino-Iwashita
Midori Yukino-Iwashita
Yuji NagatomoYuji Nagatomo
Yuji Nagatomo
AGAyumi Goda
Ayumi Goda
TKTakashi Kohno
Takashi Kohno
MTMakoto Takei
Makoto Takei
TYTsutomu Yoshikawa
Tsutomu Yoshikawa
The real-world evidence has been sparse on the impact of non-invasive positive pressure ventilation (NPPV) on the outcomes in acute decompensated heart failure (ADHF) patients. We aim to explore this issue in the prospective multicenter WET-HF registry. Among 3927 patients (77 (67–84) years, male 60%), the NPPV was used in 775 patients (19.7%). The association of NPPV use with in-hospital outcome and length of hospital stay (LOS) was examined by two methods, propensity score (PS) matching and multivariable analysis with adjustment for PS. In these analyses the NPPV group exhibited a lower endotracheal intubation (ETI) rate and a comparable in-hospital mortality, but longer LOS compared to the non-NPPV group. In the stratified analysis, the NPPV group exhibited a significantly lower ETI rate in patients with ischemic etiology, systolic blood pressure (sBP) > 140 mmHg and the Controlling Nutritional Status (CONUT) score ≤ 3, indicating better nutritional status. On the contrary, NPPV use was associated with longer LOS in patients with non-ischemic etiology, sBP < 100 mmHg and CONUT score > 3. In conclusion, NPPV use was associated with a lower incidence of ETI. Particularly, patients with ischemic etiology, high sBP, and better nutritional status might benefit from NPPV use.