نتایج جستجو برای: mortality prediction

تعداد نتایج: 534381  

2014
Tone Bull Enger Alois Philipp Vibeke Videm Matthias Lubnow Alexander Wahba Marcus Fischer Christof Schmid Thomas Bein Thomas Müller

INTRODUCTION Veno-venous extracorporeal membrane oxygenation (vvECMO) can be a life-saving therapy in patients with severe acute lung failure refractory to conventional therapy. Nevertheless, vvECMO is a procedure associated with high costs and resource utilization. The aim of this study was to assess published models for prediction of mortality following vvECMO and optimize an alternative mode...

Journal: :Hypertension 2009
Walter Palmas Thomas G Pickering Jeanne Teresi Joseph E Schwartz Andrew Moran Ruth S Weinstock Steven Shea

In a multiethnic cohort of older people with diabetes (n=1178), we assessed whether ambulatory blood pressure (BP) monitoring improves prediction of all-cause mortality and cardiovascular mortality when added to baseline covariates, including office BP and heart rate (HR). Secondary analyses assessed whether albuminuria may mediate the association of pulse pressure with mortality. The ambulator...

2017
Pierre-Jean Saulnier Elise Gand Stéphanie Ragot Lise Bankir Xavier Piguel Frédéric Fumeron Vincent Rigalleau Jean-Michel Halimi Richard Marechaud Ronan Roussel Samy Hadjadj

OBJECTIVE Sodium intake is associated with cardiovascular outcomes. However, no study has specifically reported an association between cardiovascular mortality and urinary sodium concentration (UNa). We examined the association of UNa with mortality in a cohort of type 2 diabetes (T2D) patients. METHODS Patients were followed for all-cause death and cardiovascular death. Baseline UNa was meas...

2017
Mikko Haapio Jaakko Helve Carola Grönhagen-Riska Patrik Finne

Introduction Mortality risk of patients with end-stage renal disease (ESRD) is highly elevated. Methods to estimate individual mortality risk are needed to provide individualized care and manage expanding ESRD populations. Many mortality prediction models exist but have shown deficiencies in model development (data comprehensiveness, validation) and in practicality. Therefore, our aim was to de...

Journal: :Critical Care 2003
Yaseen Arabi Nehad Al Shirawi Ziad Memish Srinivas Venkatesh Abdullah Al-Shimemeri

INTRODUCTION We conducted the present study to assess the validity of mortality prediction systems in patients admitted to the intensive care unit (ICU) with severe sepsis and septic shock. We included Acute Physiology and Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) II, Mortality Probability Model (MPM) II0 and MPM II24 in our evaluation. In addition, SAPS II and MPM...

Journal: :Emergency medicine journal : EMJ 2006
C-C Chen C-F Chong Y-L Liu K-C Chen T-L Wang

OBJECTIVE To determine the efficacy of the Mortality in Emergency Department Sepsis (MEDS) score in the stratification of patients who presented to the emergency department (ED) with severe sepsis. METHODS Adults who presented to the ED with severe sepsis were retrospectively recruited and divided into group A (MEDS score <12) and group B (MEDS score > or =12). Their outcomes were evaluated w...

2014
Michael B. Rothberg Penelope S. Pekow Aruna Priya Marya D. Zilberberg Raquel Belforti Daniel Skiest Tara Lagu Thomas L. Higgins Peter K. Lindenauer

BACKGROUND Mortality prediction models generally require clinical data or are derived from information coded at discharge, limiting adjustment for presenting severity of illness in observational studies using administrative data. OBJECTIVES To develop and validate a mortality prediction model using administrative data available in the first 2 hospital days. RESEARCH DESIGN After dividing th...

Journal: :Current Biology 2012
Hwei-yen Chen Alexei A. Maklakov

Aging affects nearly all organisms, but how aging evolves is still unclear. The central prediction of classic theory is that high extrinsic mortality leads to accelerated aging and shorter intrinsic life span. However, this prediction considers mortality as a random process, whereas mortality in nature is likely to be condition dependent. Therefore, the novel theory maintains that condition dep...

Journal: :Journal of the American Medical Informatics Association : JAMIA 2014
Eren Gultepe Jeffrey P. Green Hien Nguyen Jason Adams Timothy E. Albertson Ilias Tagkopoulos

OBJECTIVE To develop a decision support system to identify patients at high risk for hyperlactatemia based upon routinely measured vital signs and laboratory studies. MATERIALS AND METHODS Electronic health records of 741 adult patients at the University of California Davis Health System who met at least two systemic inflammatory response syndrome criteria were used to associate patients' vit...

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