Early procalcitonin dynamics in critically ill patients with sepsis in a tertiary ICU

QR Code

Early procalcitonin dynamics in critically ill patients with sepsis in a tertiary ICU

Introduction: In critically-ill patients, procalcitonin has been studied as an assessment of appropriateness of therapy, evaluation of sepsis severity and tailoring antibiotic prescription. Objectives: We evaluated serum PCT levels relative to patient characteristics, infectious status, and presenc...

Full description

Bibliographic Details
Main Authors:	Mat Nor, Mohd Basri, Md Ralib, Azrina, Abdullah, Nor Zamzila, Mohamed, Abdul Hadi
Format:	Proceeding Paper
Language:	English
Published:	2013
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/34701/ http://irep.iium.edu.my/34701/1/WFSICCM2013_basri_poster.pdf

Similar Items

Procalcitonin clearance for early prediction of survival in critically ill patients with severe sepsis
by: Mat Nor, Mohd Basri, et al.
Published: (2014)

Procalcitonin and Interleukin-6 for predicting culture negative and culture positive bacterial sepsis in critically ill patients with systemic inflammatory response syndrome
by: Mat Nor, Mohd Basri, et al.
Published: (2016)

Procalcitonin as a sepsis marker: experience of an intensive care setting in Malaysia
by: Mat Nor, Mohd Basri, et al.
Published: (2013)

Paraoxonase-1 activities and procalcitonin levels in sepsis and non-infectious systemic inflammatory response syndrome patients in a tertiary intensive care unit
by: Alias, Mohd Afzal, et al.
Published: (2017)

Estimates of glomerular filtration rate in the critically ill with sepsis
by: Md Ralib, Azrina, et al.
Published: (2017)

Point-of-care procalcitonin guidance to reduce antibiotic use in critically ill patients: a randomized controlled trial
by: Wan Muhd Shukeri, Wan Fadzlina, et al.
Published: (2018)

025 Estimates of glomerular filtration rate in the critically ill with sepsis
by: Azrina, M. Ralib, et al.
Published: (2017)

Augmented renal clearance in critically ill patients with sepsis: prevalence, risk factors and outcome
by: Abdul Rahim, Shahir Asraf, et al.
Published: (2017)

Serial measurement of plasma neutrophil gelatinase associated lipocalin in mortality prediction in critically ill patients with systemic inflammatory disease and sepsis
by: Md Ralib, Azrina, et al.
Published: (2016)

Sepsis mortality score using multi-marker approach for the prediction of mortality in septic critically ill patients
by: Wan Muhd Shukeri, Wan Fadzlina, et al.
Published: (2017)

Derivation of a multi-biomarker model and score as a predictor of 30-day mortality in critically ill sepsis patients: A prospective cohort study
by: Wan Shukeri, Wan Fadzlina, et al.
Published: (2017)

Early predictive value of procalcitonin to albumin ratio for intensive care unit mortality in severe sepsis patients
by: Manas, Siti Afifah Abd
Published: (2023)

Model-based insulin sensitivity for early diagnosis of sepsis in critical care
by: Wan Shukeri, Wan Fadzlina, et al.
Published: (2017)

The BLISS study: Beta-Lactam infusion in severe sepsis-randomised controlled trial of continuous versus intermittent beta-lactam infusion in critically ill patients with severe sepsis in a Malaysian ICU setting
by: Abdul Aziz, Mohd. Hafiz, et al.
Published: (2015)

Adequacy of empirical antibiotic for patient admitted to ICU with sepsis
by: Hashim, Halimatul Nadia M
Published: (2016)

Plasma cystatin C and estimates of glomerular filtration rate using cystatin C independently diagnosed acute kidney injury in critically ill patients with sepsis
by: Md Ralib, Azrina, et al.
Published: (2017)

STAR protocol for critically ill patients in Malaysia: ICU staff survey and human factor assessment
by: Abdul Razak, Athirah, et al.
Published: (2019)

Population pharmacokinetics of doripenem in critically ill patients with sepsis in a Malaysian intensive care unit
by: Abdul Aziz, Mohd. Hafiz, et al.
Published: (2016)

The diagnostic ability of procalcitonin and interleukin-6 to differentiate infectious from noninfectious systemic inflammatory response syndrome and to predict mortality
by: Mat Nor, Mohd Basri, et al.
Published: (2016)

Validating a lower urine output criteria in predicting death in critically ill patients
by: Md Ralib, Azrina, et al.
Published: (2017)

Blood glucose and sepsis score on sepsis patients requiring insulin therapy
by: Mohamad Suhaimi, Fatanah, et al.
Published: (2018)

Plasma neutrophil gelatinase-associated lipocalin best diagnosed acute kidney injury in patients with systemic inflammatory response syndrome and sepsis
by: Md Ralib, Azrina, et al.
Published: (2015)

Dynamic changes of plasma neutrophil gelatinase-associated lipocalin predicted mortality in critically ill patients with systemic inflammatory response syndrome
by: Md Ralib, Azrina, et al.
Published: (2017)

Development of glomerular filtration rate monitor based on creatinine kinetic modelling in critically ill patients
by: Md Ralib, Azrina, et al.
Published: (2018)

Implementation of a prototype glomerular filtration rate application to monitor creatinine kinetic dynamics in critically ill patients
by: Dzaharudin, Fatimah, et al.
Published: (2016)

Implementation of a Prototype Glomerular Filtration Rate Application To Monitor Creatinine Kinetic Dynamics in Critically Ill Patients
by: Fatimah, Dzaharudin, et al.
Published: (2017)

Sepsis mortality score for the prediction of mortality in septic patients
by: Wan Mohd Shukeri, Wan Fadzlina, et al.
Published: (2018)

Insulin Sensitivity and Sepsis Score: A Correlation between Model-based Metric and Sepsis Scoring System in Critically Ill Patients
by: Fatanah, M. Suhaimi, et al.
Published: (2017)

The impact of fluid balances in the first 48 hours on mortality in the critically ill patients
by: Md Ralib, Azrina, et al.
Published: (2016)

Plasma & subcutaneous tissue pharmacokinetics of piperacillin in a large cohort of critically ill patients with sepsis
by: Abdul Aziz, Mohd. Hafiz, et al.
Published: (2014)

Malaysian ICU nurses’ constructive response to critical ill patients transition/ experience: Qualitative analysis
by: Mohamed Ludin, Salizar, et al.
Published: (2013)

Prediction of Sepsis Progression in Critical Illness Using Artificial Neural Network
by: F. M., Suhaimi, et al.
Published: (2016)

Plasma neutrophil gelatinase associated lipocalin diagnosed acute kidney injury in patients with systemic inflammatory disease and sepsis
by: Md Ralib, Azrina, et al.
Published: (2017)

A study on incidence, predictors and management of hypophosphaemia in a Malaysian ICU
by: Mat Nor, Mohd Basri, et al.
Published: (2011)

Mortality prediction in critically ill patients using machine learning score
by: Dzaharudin, Fatimah, et al.
Published: (2020)

Mortality prediction in critically ill patients using machine learning score
by: Fatimah, Dzaharudin, et al.
Published: (2020)

Derivation of a new bioscore for predicting mortality in sepsis
by: Wan Shukeri, Wan Fadzlina, et al.
Published: (2019)

Clinical review: Early patient mobilization in the ICU
by: Hodgson, C., et al.
Published: (2013)

Derivation of a new bioscore for predicting mortality in sepsis
by: Wan Muhd Shukeri, Wan Fadzlina, et al.
Published: (2018)

Nutritional management of the critically ill obese patient
by: Mat Nor, Mohd Basri, et al.
Published: (2018)