نتایج جستجو برای: death prediction

تعداد نتایج: 522339  

Journal: :Circulation: Arrhythmia and Electrophysiology 2012

2016
Sumeet S. Chugh

Risk stratification of patients to identify those who will benefit most from the primary prevention implantable cardioverter-defibrillator (ICD) remains a challenge. For the last decade, measurement of the left ventricular ejection fraction (LVEF) as a clinical risk predictor is recognized to be inadequate. In fact, contemporary real world data indicate that of the patients identified using thi...

2018
Nina Japundžić-Žigon Olivera Šarenac Maja Lozić Marko Vasić Tatjana Tasić Dragana Bajić Vladimir Kanjuh David Murphy

Sudden death is a major health problem all over the world. The most common causes of sudden death are cardiac but there are also other causes such as neurological conditions (stroke, epileptic attacks and brain trauma), drugs, catecholamine toxicity, etc. A common feature of all these diverse pathologies underlying sudden death is the imbalance of the autonomic nervous system control of the car...

2017
Jun Hata Akiko Nagai Makoto Hirata Yoichiro Kamatani Akiko Tamakoshi Zentaro Yamagata Kaori Muto Koichi Matsuda Michiaki Kubo Yusuke Nakamura Yutaka Kiyohara Toshiharu Ninomiya Shigeru Saito Hideki Shimomura Sinichi Higashiue Kazuo Misumi Shiro Minami Masahiro Yasutake Hitoshi Takano Kazunori Shimada Hakuoh Konishi Nobukazu Miyamoto Satoshi Asai Mitsuhiko Moriyama Yasuo Takahashi Tomoaki Fujioka Wataru Obara Seijiro Mori Hideki Ito Satoshi Nagayama Yoshio Miki Akihide Masumoto Akira Yamada Yasuko Nishizawa Ken Kodama Yoshihisa Sugimoto Takashi Ashihara Yukihiro Koretsune Sachiko Ikeda Ryozo Yano

BACKGROUND Cardiovascular disease (CVD) is a leading cause of death in Japan. The present study aimed to develop new risk prediction models for long-term risks of all-cause and cardiovascular death in patients with chronic phase CVD. METHODS Among the subjects registered in the BioBank Japan database, 15,058 patients aged ≥40 years with chronic ischemic CVD (ischemic stroke or myocardial infa...

2015
Audrey Mauguen Bernard Rachet Simone Mathoulin-Pélissier Gill M Lawrence Sabine Siesling Gaëtan MacGrogan Alexandre Laurent Virginie Rondeau

BACKGROUND Cancer relapses may be useful to predict the risk of death. To take into account relapse information, the Landmark approach is popular. As an alternative, we propose the joint frailty model for a recurrent event and a terminal event to derive dynamic predictions of the risk of death. METHODS The proposed prediction settings can account for relapse history or not. In this work, pred...

Journal: :Pomeranian journal of life sciences 2015
Arkadiusz Kazimierczak Paweł Szumiłowicz Ireneusz Wiernicki Piotr Gutowski Rabih Samad Halina Kupicz Marcin Śledź Anita Rybicka

INTRODUCTION Prediction of early death in abdominal aortic aneurysm - open repair is widely described. There is no superiority of any risk stratification tool. Some of the risk calculators are quite accurate, but very complicated (e.g. P-POSSUM, V-POSSUM). Some are simpler but never used in vascular surgery (e.g. ECOG). Therefore, only leucocytosis itself appears to be an independent and highly...

ژورنال: :archives of trauma research 0
moslem shakeri department of neurosurgery, tabriz university of medical sciences, tabriz, ir iran; department of neurosurgery, tabriz university of medical sciences, tabriz, ir iran. tel: +98-4113340830, fax: +98-4113340830سازمان اصلی تایید شده: دانشگاه علوم پزشکی تبریز (tabriz university of medical sciences) atta mahdkhah department of neurosurgery, tabriz university of medical sciences, tabriz, ir iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی تبریز (tabriz university of medical sciences) farid panahi neurosciences reserch center, tabriz university of medical sciences, tabriz, ir iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی تبریز (tabriz university of medical sciences)

conclusions changes in s100b protein, especially the levels of this dimer 48 hours after trauma can be used as marker to predict brain death. alongside other known prognostic factors such as age, gcs and diameters of the pupils, however, this factor individually can not conclusive predict the patient's clinical course and incidence of brain death. however, it is suitable to use gcs, ct scan, cl...

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