[PDF][PDF] Role of procalcitonin and c-reactive protein as predictors of sepsis and in managing sepsis in postoperative patients: a systematic review
J Hassan, S Khan, R Zahra, A Razaq, A Zain, L Razaq… - Cureus, 2022 - cureus.com
Systemic inflammatory response syndrome (SIRS) and sepsis are inflammatory responses
to infection or trauma, causing symptoms and adverse outcomes such as organ shutdown …
to infection or trauma, causing symptoms and adverse outcomes such as organ shutdown …
[HTML][HTML] Comparison of qSOFA score, SOFA score, and SIRS criteria for the prediction of infection and mortality among surgical intermediate and intensive care …
C Koch, F Edinger, T Fischer, F Brenck… - World Journal of …, 2020 - Springer
Background It is crucial to rapidly identify sepsis so that adequate treatment may be initiated.
Accordingly, the Sequential Organ Failure Assessment (SOFA) and the quick SOFA (qSOFA) …
Accordingly, the Sequential Organ Failure Assessment (SOFA) and the quick SOFA (qSOFA) …
[PDF][PDF] Relationships between RDW, NLR, CAR, and APACHE II scores in the context of predicting the prognosis and mortality in ICU patients.
M Deniz, P Ozgun, E Ozdemir - European Review for Medical & …, 2022 - europeanreview.org
OBJECTIVE: Intensive care units (ICU) are tasked with critical care and treatment with a view
to improving prognosis. The Acute Physiology and Chronic Health Evaluation II (APACHE II) …
to improving prognosis. The Acute Physiology and Chronic Health Evaluation II (APACHE II) …
Critically ill patients with coronavirus disease 2019 in a designated ICU: clinical features and predictors for mortality
ZH Wang, C Shu, X Ran, CH Xie… - Risk Management and …, 2020 - Taylor & Francis
Background Coronavirus disease 2019 (COVID-19) is a worldwide pandemic outbreak with
a high mortality. Prognostic factors of critically ill patients with COVID-19 have not been fully …
a high mortality. Prognostic factors of critically ill patients with COVID-19 have not been fully …
Plasma MIA, CRP, and albumin predict cognitive decline in Parkinson's disease
Objective Using a multi‐cohort, discovery‐replication‐validation design, we sought new
plasma biomarkers that predict which individuals with Parkinson's disease (PD) will …
plasma biomarkers that predict which individuals with Parkinson's disease (PD) will …
Lactate/albumin ratio is more effective than lactate or albumin alone in predicting clinical outcomes in intensive care patients with sepsis
E Cakir, IO Turan - Scandinavian journal of clinical and laboratory …, 2021 - Taylor & Francis
This study aimed to compare the value of lactate, albumin, and lactate/albumin ratio for the
prediction of mortality in sepsis patients. Patients admitted to the intensive care unit (ICU) …
prediction of mortality in sepsis patients. Patients admitted to the intensive care unit (ICU) …
[HTML][HTML] Lactate dehydrogenase/albumin ratio as a prognostic factor in severe acute respiratory distress syndrome cases associated with COVID-19
H Sipahioglu, S Onuk - Medicine, 2022 - journals.lww.com
Background: Patients with severe acute respiratory distress syndrome (ARDS) have high
mortality rates; therefore, new biomarkers are necessary to predict the prognosis in the early …
mortality rates; therefore, new biomarkers are necessary to predict the prognosis in the early …
[HTML][HTML] Association between lactate/albumin ratio and all-cause mortality in patients with acute respiratory failure: A retrospective analysis
Y Lu, H Guo, X Chen, Q Zhang - Plos one, 2021 - journals.plos.org
Previous studies have shown that lactate/albumin ratio (LAR) can be used as a prognostic
biomarker to independently predict the mortality of sepsis and severe heart failure. However …
biomarker to independently predict the mortality of sepsis and severe heart failure. However …
[HTML][HTML] Mortality prediction in cerebral hemorrhage patients using machine learning algorithms in intensive care units
X Nie, Y Cai, J Liu, X Liu, J Zhao, Z Yang… - Frontiers in …, 2021 - frontiersin.org
Objectives: This study aims to investigate whether the machine learning algorithms could
provide an optimal early mortality prediction method compared with other scoring systems …
provide an optimal early mortality prediction method compared with other scoring systems …
The value of prehospital early warning scores to predict in-hospital clinical deterioration: a multicenter, observational base-ambulance study
F Martín-Rodríguez, A Sanz-García… - Prehospital …, 2021 - Taylor & Francis
Objectives Early warning scores are clinical tools capable of identifying prehospital patients
with high risk of deterioration. We sought here to contrast the validity of seven early warning …
with high risk of deterioration. We sought here to contrast the validity of seven early warning …