[HTML][HTML] Venous thromboembolism and the utility of the Padua Prediction Score in patients with sepsis admitted to internal medicine departments

M Vardi, NO Ghanem-Zoubi, R Zidan, V Yurin… - Journal of Thrombosis …, 2013 - Elsevier
Background Sepsis is prevalent in internal medicine (IM) departments. Elderly patients with
sepsis and chronic medical conditions are at an increased risk for venous thromboemolism …

A novel heart rate variability based risk prediction model for septic patients presenting to the emergency department

N Liu, SM Prabhakar, SL Chong, WK Lye, ZX Koh… - Medicine, 2018 - journals.lww.com
A quick, objective, non-invasive means of identifying high-risk septic patients in the
emergency department (ED) can improve hospital outcomes through early, appropriate …

Hemoglobin levels and blood transfusion in patients with sepsis in Internal Medicine Departments

GF Muady, H Bitterman, A Laor, M Vardi, V Urin… - BMC infectious …, 2016 - Springer
Background Acute reduction in hemoglobin levels is frequently seen during sepsis. Previous
studies have focused on the management of anemia in patients with septic shock admitted …

Assessing prognosis with modified early warning score, rapid emergency medicine score and worthing physiological scoring system in patients admitted to intensive …

RGY Gök, A Gök, M Bulut - International emergency nursing, 2019 - Elsevier
Introduction In this study our purpose is to examine the effectiveness and reliability of MEWS
(Modified Early Warning Score), REMS (Rapid Emergency Medicine Score) and WPS …

Evaluation of the modified MEDS, MEWS score and Charlson comorbidity index in patients with community acquired sepsis in the emergency department

E Çıldır, M Bulut, H Akalın, E Kocabaş… - Internal and emergency …, 2013 - Springer
Sepsis is one of the most important causes of morbidity and mortality in patients presenting
to the emergency department. SIRS criteria that define sepsis are not specific and do not …

Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics

CY Cheng, CT Kung, FC Chen, IM Chiu… - Frontiers in …, 2022 - frontiersin.org
Purpose To build machine learning models for predicting the risk of in-hospital death in
patients with sepsis within 48 h, using only dynamic changes in the patient's vital signs …

System and method for automatic detection of a plurality of SP02 time series pattern types

LA Lynn - US Patent 8,862,196, 2014 - Google Patents
The disclosed embodiments relate to a patient monitor for evaluating a patient. The patient
monitor may comprise a sensor that is adapted to detect a sound associated with breathing …

Internal validation and comparison of the prognostic performance of models based on six emergency scoring systems to predict in-hospital mortality in the emergency …

Z Rahmatinejad, F Tohidinezhad… - BMC Emergency …, 2021 - Springer
Background Medical scoring systems are potentially useful to make optimal use of available
resources. A variety of models have been developed for illness measurement and …

Lstm for septic shock: Adding unreliable labels to reliable predictions

Y Zhang, C Lin, M Chi, J Ivy, M Capan… - … Conference on Big …, 2017 - ieeexplore.ieee.org
Sepsis is a leading cause of death over the world and septic shock, the most severe
complication of sepsis, reaches a mortality rate as high as 50%. Early diagnosis and …

[HTML][HTML] Comparison of various severity assessment scoring systems in patients with sepsis in a tertiary care teaching hospital

K Badrinath, M Shekhar, M Sreelakshmi… - Indian journal of …, 2018 - ncbi.nlm.nih.gov
Background: Sepsis is a complex condition defined by the systemic response to infection.
Severity assessment scoring systems are used to aid the physician in deciding whether …