Keisuke Tsumura

Dr. Keisuke Tsumura

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

View All Publications
18 February 2023 in Biomedicines
Verified
Journal Article
Open access
PDF file
MNMakoto Nomiyama
Makoto Nomiyama
TNTakuya Nakagawa
Takuya Nakagawa
FYFumio Yamasaki
Fumio Yamasaki
NHNami Hisamoto
Nami Hisamoto
NYNatsumi Yamashita
Natsumi Yamashita
KTKeisuke Tsumura
Keisuke Tsumura
This study classifies fetal inflammatory response syndrome (FIRS) based on the presence or absence of maternal-fetal inflammation in the placenta and clarifies the association of FIRS with neonatal morbidities. Women (330) who delivered at gestational ages of 22w0d-33w6d were enrolled and grouped into four based on FIRS and maternal/fetal inflammatory response (MIR/FIR) statuses: Group A: without FIRS and MIR/FIR (reference group); Group B: MIR/FIR alone; Group C: FIRS and MIR/FIR; and Group D: FIRS without MIR/FIR. The associations between bronchopulmonary dysplasia (BPD), adverse neonatal outcomes, extremely low gestational age and Groups B, C, and D were investigated after adjustment for potential confounders. Among patients with FIRS, 29% were in Group D. The risk of BPD was increased in Groups C (adjusted odds ratio (aOR): 3.36; 95% confidence interval (CI): 1.14–9.89) and D (aOR: 4.17; 95% CI: 1.03–16.9), as was the risk of adverse neonatal outcomes (Group C: aOR: 7.17; 95% CI: 2.56–20.1; Group D: aOR: 6.84; 95% CI: 1.85–25.2). The risk of extremely low gestational age was increased in Group D (aOR: 3.85; 95% CI: 1.56–9.52). Therefore, FIRS without MIR/FIR is not rare and may be associated with neonatal morbidities more than FIRS and MIR/FIR.

21 March 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
YMYasunari Miyagi
Yasunari Miyagi
KTKatsuhiko Tada
Katsuhiko Tada
IYIchiro Yasuhi
Ichiro Yasuhi
KTKeisuke Tsumura
Keisuke Tsumura
YMYuka Maegawa
Yuka Maegawa
OGon behalf of the Collaborative Research in National Hospital Organization Network Pediatric and Perinatal Group
on behalf of the Collaborative Research in National Hospital Organization Network Pediatric and Perinatal Group
(1) Background: Although the diagnostic criteria for massive hemorrhage with organ dysfunction, such as disseminated intravascular coagulation associated with delivery, have been empirically established based on clinical findings, strict logic has yet to be used to establish numerical criteria. (2) Methods: A dataset of 107 deliveries with >2000 mL of blood loss, among 13,368 deliveries, was obtained from nine national perinatal centers in Japan between 2020 and 2023. Twenty-three patients had fibrinogen levels <170 mg/dL, which is the initiation of coagulation system failure, according to our previous reports. Three of these patients had hematuria. We used six machine learning methods to identify the borderline criteria dividing the fibrinogen/fibrin/fibrinogen degradation product (FDP) planes, using 15 coagulation fibrinolytic factors. (3) Results: The boundaries of hematuria development on a two-dimensional plane of fibrinogen and FDP were obtained. A positive FDP–fibrinogen/3–60 (mg/dL) value indicates hematuria; otherwise, the case is nonhematuria, as demonstrated by the support vector machine method that seemed the most appropriate. (4) Conclusions: Using artificial intelligence, the borderline criterion was obtained, which divides the fibrinogen/FDP plane for patients with hematuria that could be considered organ dysfunction in massive hemorrhage during delivery; this method appears to be useful.

27 February 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
YMYasunari Miyagi
Yasunari Miyagi
KTKatsuhiko Tada
Katsuhiko Tada
IYIchiro Yasuhi
Ichiro Yasuhi
KTKeisuke Tsumura
Keisuke Tsumura
YMYuka Maegawa
Yuka Maegawa
KKKosuke Kawakami
Kosuke Kawakami
(1) Background: Although diagnostic criteria for massive hemorrhage with organ dysfunction such as disseminated intravascular coagulation associated with delivery have been empirically established based on clinical findings, strict logic has yet to be used to establish numerical criteria. (2) Methods: A dataset of 107 deliveries with ≥2,000 g of blood loss, among 13,368 deliveries from nine national perinatal centers in Japan between 2020 and 2023 was obtained. Twenty-three patients had fibrinogen levels <170 mg/dl, which is the initiation of coagulation system failure per our previous reports. Three of these patients had hematuria. We used six machine learning methods to identify the borderline criteria dividing the fibrinogen/fibrin/fibrinogen degradation product (FDP) planes, using 15 coagulation fibrinolytic factors. (3) Results: The boundaries of hematuria development on a two-dimensional plane of fibrinogen and FDP were obtained. If the FDP–fibrinogen/3–60 (mg/dl) value is positive, this indicates hematuria; otherwise, the case is non-hematuria, as demonstrated by the support vector machine method that seemed the most appropriate. (4) Conclusions: The borderline criterion dividing the fibrinogen/FDP plane for patients with hematuria that could be considered organ dysfunction in massive hemorrhage during delivery was obtained using artificial intelligence, and this method seemed to be useful.

3 October 2025 in Journal of Obstetrics and Gynaecology Research
Verified
Journal Article
Closed access
YOYuko Oshima
Yuko Oshima
MNMakoto Nomiyama
Makoto Nomiyama
KTKeisuke Tsumura
Keisuke Tsumura
STSatoko Tsuda
Satoko Tsuda
TOTakeshi Ono
Takeshi Ono
MYMasatoshi Yokoyama
Masatoshi Yokoyama

Verified
Journal Article
Open access
PDF file
KTKatsuhiko Tada
Katsuhiko Tada
YMYasunari Miyagi
Yasunari Miyagi
IYIchiro Yasuhi
Ichiro Yasuhi
KTKeisuke Tsumura
Keisuke Tsumura
IEIkuko Emoto
Ikuko Emoto
KKKosuke Kawakami
Kosuke Kawakami
Background/Objectives: We define severe postpartum hemorrhage (PPH) with macroscopic hematuria as clinical disseminated intravascular coagulation (DIC), a life-threatening condition. We also report a methodology using machine learning, a subtype of artificial intelligence, for developing the boundary criterion for predicting hematuria on the fibrinogen–fibrin/fibrinogen degradation product (FDP) plane. A positive FDP–fibrinogen/3–60 (mg/dL) value indicates hematuria; otherwise, non-hematuria is observed. We aimed to validate this criterion using severe placental abruption (PA), and to examine the activation of the coagulation–fibrinolytic system in clinical DIC. Methods: Of 17,285 deliveries across nine perinatal centers in Japan between 2020 and 2024, 13 had severe PA without hematuria, 18 had severe PPH without hematuria, and 3 had severe PPH with hematuria, i.e., clinical DIC. We calculated the values of the criterion formula for 13 cases of severe PA to validate the boundary criterion and compared the laboratory tests for coagulation–fibrinolytic activation among the three groups. Results: The calculated values using the criterion for the 13 PA without hematuria ranged from −108.91 to −5.87 and all were negative. In cases of clinical DIC, fibrinogen levels (median, 62 mg/dL) were lower (p < 0.05), while levels of FDP (96 mg/dL), the thrombin–antithrombin complex (120 ng/mL), and the plasmin-α2–plasmin inhibitor complex (28.4 μg/mL) were significantly higher than in the other two groups. Conclusions: This study demonstrated the validity of the boundary criterion for predicting hematuria using severe PA. The coagulation–fibrinolytic test results suggested that PPH cases with hematuria were assumed to have clinical DIC, indicating that this criterion may be considered for diagnosing DIC during delivery. However, further additional patient data are needed to confirm the usefulness of this criterion because of the very low number of hematuria cases.

25 April 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
KTKatsuhiko Tada
Katsuhiko Tada
YMYasunari Miyagi
Yasunari Miyagi
IYIchiro Yasuhi
Ichiro Yasuhi
KTKeisuke Tsumura
Keisuke Tsumura
IEIkuko Emoto
Ikuko Emoto
KKKosuke Kawakami
Kosuke Kawakami
Background/Objectives: We have defined severe postpartum hemorrhage (PPH) complicated with hematuria as clinical disseminated intravascular coagulation (DIC) and reported a methodology, using artificial intelligence, for developing the boundary criterion for predicting hematuria on the fibrinogen–fibrin/fibrinogen degradation products (FDP) plane: a positive FDP–fibrinogen/3–60 (mg/dL) value indicates hematuria, otherwise, non-hematuria. We aimed to validate this criterion using severe placental abruption (PA), as the criterion was developed using PPH except for PA, and to examine the coagulation–fibrinolytic system activation in clinical DIC. Methods: Of 17,285 deliveries assessed, 13 had severe PA without hematuria, 18 severe PPH without hematuria, and three severe PPH with hematuria, i.e., clinical DIC. Cases were obtained from nine national perinatal centers in Japan between August 2020 and June 2024. We calculated the values for 13 severe PA cases using the criterion and compared the laboratory tests for coagulation–fibrinolytic activation including thrombin–antithrombin complex (TAT) and plasmin-α2–plasmin inhibitor complex (PIC) among the three groups. Results: The calculated values using the criterion for the 13 PA without hematuria were all negative. In clinical DIC cases, fibrinogen (median, 62 mg/dL) was lower, and FDP (median, 96 mg/dL), TAT (median, 120 ng/mL ), and PIC (median, 28.4 μg/mL) were significantly higher than in the other two groups. Conclusions: The criterion accurately diagnosed all PA without clinical hematuria as non-hematuria. The coagulation–fibrinolysis test results demonstrated the validity of considering cases with hematuria as clinical DIC. The criterion appears useful for diagnosing clinical DIC during delivery.