Results 241 to 250 of about 393,461 (309)

Heart Transplantation in a Patient With Liddle Syndrome. [PDF]

JACC Case Rep
Gohri J, Bakhle R, Calhoun AE, Sajja A, Bhatt KN.   +4 more
europepmc   +1 more source

Mitochondrial Transplantation as a Therapeutic Strategy for Inherited Mitochondrial Diseases

Advanced Science, EarlyView.
Mitochondrial transplantation (MTx) offers a promising therapeutic avenue for mitochondrial diseases. This review comprehensively evaluates MTx, differentiating its feasibility for mtDNA‐ and nDNA‐based disorders. It examines its potential for genetic correction, alongside inherent limitations, technical challenges, and crucial ethical considerations ...
Parmeshar Singh, Amir Tahavvori, Cyrus E. Kuschner, Blanca B. Espin, Jacob Kazmi, Sofhia V. Ramos, Tai Yin, Kei Hayashida, Kanako Ito‐Hagiwara, Yusuke Endo, Keitaro Yoshioka, Jun Hagiwara, Avijot Sohi, Alisha Oropallo, Ghania Haddad, Timmy Li, Lance B. Becker, Junhwan Kim   +17 more
wiley   +1 more source

NHS blood and transplant donor echocardiography standard to improve organ utilisation in heart transplantation. [PDF]

J Intensive Care Soc
Akhtar W, Peck M, Miller A, Billyard T, Goedvolk C, Ryan M, Soliman Aboumarie H, Gil FR, Berman M, Rubino A.   +9 more
europepmc   +1 more source

Heart-lung transplantation

The Journal of Thoracic and Cardiovascular Surgery, 1985
openaire   +2 more sources

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Nationwide Real‐World Modeling of Surgical Outcomes in Elderly Patients: Incorporating Geriatric‐Specific Risk Factors Into Prediction of Mortality and Morbidity

Annals of Gastroenterological Surgery, EarlyView.
A reliable and effective risk prediction model for mortality and morbidity in elderly patients undergoing gastroenterological surgeries was developed and validated. Geriatric‐specific risk factors, including the newly added variables in the NCD registry, along with age, were identified as significant contributors to the model. ABSTRACT Aim As the aging
Naoya Sato, Hiraku Kumamaru, Mitsukazu Gotoh, Yoshihiro Kakeji, Yuko Kitagawa, Yasuyuki Seto, Hiromi Rakugi, Masahiro Akishita, Kazue Nakajima, Arata Takahashi, Hiroaki Miyata, Shigeru Marubashi   +11 more
wiley   +1 more source

Differences in mortality by donor sex and age in heart transplantation: An individual patient data meta-analysis. [PDF]

JHLT Open
Sugianto RI, Zhang X, Döhler B, Dahhou M, Süsal C, Vinson A, Grinspan L, von der Born J, Tran H, Foster BJ, Melk A.   +10 more
europepmc   +1 more source

The organ transplanted patient - immunological concepts and immunosuppression [PDF]

, 1991
Husberg, BS, Klintmalm, GBG, Starzl, TE
core  

The National Clinical Database Risk Calculator and the 5‐Item Modified Frailty Index Predict the Development of Postoperative Delirium After Surgery for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda, Akira Shimizu, Koji Kubota, Tsuyoshi Notake, Hiroki Sakai, Kentaro Yoshikawa, Tomohiko Ikehara, Hikaru Hayashi, Koya Yasukawa, Yuji Soejima   +9 more
wiley   +1 more source