نتایج جستجو برای: death prediction
تعداد نتایج: 522339 فیلتر نتایج به سال:
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...
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...
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...
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...
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...
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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