Levels and diagnostic value of model-based insulin sensitivity in sepsis: a preliminary study

QR Code

Levels and diagnostic value of model-based insulin sensitivity in sepsis: a preliminary study

Background and Aims: Currently, there is a lack of real‑time metric with high sensitivity and specificity to diagnose sepsis. Insulin sensitivity (SI) may be determined in real‑time using mathematical glucose‑insulin models; however, its effectiveness as a diagnostic test of sepsis is unknown. Our a...

Full description

Bibliographic Details
Main Authors:	Wan Fadzlina, Muhd Shukeri, Mohd Basri, Mat Nor, Ummu Kulthum, Jamaludin, Fatanah, M. Suhaimi, Normy Norfiza, A. Razak, Azrina, Md Ralib
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2018
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/21404/ http://umpir.ump.edu.my/id/eprint/21404/1/Levels%20and%20Diagnostic%20Value%20of%20Model%E2%80%91based%20Insulin%20Sensitivity.pdf

Similar Items

Levels and diagnostic value of model-based insulin sensitivity in sepsis: a preliminary study
by: Wan Muhd Shukeri, Wan Fadzlina, et al.
Published: (2018)

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

Model-based insulin sensitivity as a new biomarker of sepsis diagnosis in the intensive care unit
by: Wan Fadzlina, Wan Muhd Shukeri, et al.
Published: (2021)

Insulin sensitivity and blood glucose level of sepsis patients in the intensive care unit
by: M. Suhaimi, Fatanah, et al.
Published: (2019)

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

Insulin Sensitivity as a Model-Based Marker for Sepsis Diagnosis
by: Fatanah, M. Suhaimi, et al.
Published: (2015)

Modeling of insulin sensitivity for Sepsis-AKI and Sepsis Non-AKI
by: Farhah, M., et al.
Published: (2022)

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)

Estimation of plasma insulin and endogenous insulin secretion in critically ill patients using intensive control insulin-nutrition-glucose model
by: Jamaludin, Ummu Kulthum, et al.
Published: (2017)

Estimation of Plasma Insulin and Endogenous Insulin Secretion in Critically Ill Patients Using ICING Model
by: Ummu Kulthum, Jamaludin, et al.
Published: (2017)

Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
by: Normy Norfiza, A. Razak, et al.
Published: (2016)

Feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with Malaysian critically-ill patient
by: Abdul Razak, Normy Norfiza, et al.
Published: (2016)

Estimation of plasma insulin and endogenous insulin secretion in critically ill patients using ICING model
by: Jamaludin, Ummu Kulthum, et al.
Published: (2016)

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

Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
by: Ummu Kulthum, Jamaludin, et al.
Published: (2016)

Feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with Malaysian critically-ill patient
by: Abdul Razak, Normy Norfiza, et al.
Published: (2016)

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

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)

Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
by: Abdul Razak, Athirah, et al.
Published: (2018)

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

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

The diagnostic and predictive value of plasma Cystatin C in acute kidney injury secondary to sepsis in the Intensive Care Unit
by: Ab. Rashid, Iqbalmunauwir, et al.
Published: (2018)

Performance of Glycemic Control Protocol and Virtual Trial
by: Fatanah, M. Suhaimi, et al.
Published: (2017)

Probabilistic glycemic control decision support in icu: proof of concept using Bayesian network
by: Abu-Samah, Asma, et al.
Published: (2019)

Determination of favorable blood glucose target range for stochastic TARgeted (STAR) glycemic control in Malaysia
by: Abu-Samah, Asma, et al.
Published: (2019)

Determination of favorable blood glucose target range for stochastic TARgeted (STAR) glycemic control in Malaysia
by: Abu-Samah, Asma, et al.
Published: (2019)

Probabilistic glycemic control decision support in ICU : proof of concept using bayesian network
by: Abu-Samah, A., et al.
Published: (2019)

The effects of insulin infusion protocol on the glycemic level of the intensive care patients
by: Jihan, Zukhi, et al.
Published: (2020)

Mathematical modeling of glucose-insulin system behavior in Hospital Tengku Ampuan Afzan intensive care unit patients
by: Jamaludin, Ummu K., et al.
Published: (2016)

Model-based insulin-nutrition administration for glycemic control in Malaysian critical care: First pilot trial
by: Abu-Samah, Asma, et al.
Published: (2018)

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)

Efficacy and Safety of SPRINT and STAR Protocol on Malaysian Critically-ill Patients
by: Nurhamim, Ahamad, et al.
Published: (2017)

Developing and validating a new comprehensive glucose-insulin pharmacokinetics and pharmacodynamics model
by: Ummu Kulthum, Jamaludin
Published: (2013)

Virtual Trial And Monte Carlo Analysis Of Model-Based Glycaemic Control Protocol With Reduced Nursing Effort
by: Athirah, Razak, et al.
Published: (2015)

Performance of stochastic targeted blood glucose control protocol by virtual trials in the Malaysian intensive care unit
by: Jamaludin, Ummu Kulthum, et al.
Published: (2018)

Study on the enhancement of Malaysian ICU centre and introduction of STAR performance
by: Che Zafirah, Rosly, et al.
Published: (2021)

Decision support for parenteral nutrition supplementation in ICU using model-based glycemic control protocol
by: Abu-Samah, Asma, et al.
Published: (2018)

Performance of stochastic targeted blood glucose control protocol by virtual trials in the Malaysian intensive care unit
by: Ummu Kulthum, Jamaludin, et al.
Published: (2018)

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

Virtual trial of glycaemic control performance and nursing workload assessment in diabetic critically ill patients
by: Athirah, Abdul Razak, et al.
Published: (2018)