The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.

Sepsis causes high mortality and morbidity. Static lactate concentration and early lactate clearance are cited to be a predictor for sepsis survival. This study examined the clinical utility of static lactate concentration and early lactate clearance within the first six hours of admission in Emerge...

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Main Authors: Tan, TL, Noor Asmidar A, Ong, WJ, Ahmad Fuad Fahmi MN, Chieng, ZL, Noor Akmal SI
Format: Article
Language:English
Published: Penerbit UKM 2014
Online Access:http://journalarticle.ukm.my/8284/
http://journalarticle.ukm.my/8284/
http://journalarticle.ukm.my/8284/1/06-MS0031_%28124-133%29.pdf
id ukm-8284
recordtype eprints
spelling ukm-82842016-12-14T06:46:47Z http://journalarticle.ukm.my/8284/ The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study. Tan, TL Noor Asmidar A, Ong, WJ Ahmad Fuad Fahmi MN, Chieng, ZL Noor Akmal SI, Sepsis causes high mortality and morbidity. Static lactate concentration and early lactate clearance are cited to be a predictor for sepsis survival. This study examined the clinical utility of static lactate concentration and early lactate clearance within the first six hours of admission in Emergency Department (ED) to predict 28-day mortality rate in sepsis patients. Patients who presented with sepsis, severe sepsis or septic shock and admitted to ED of Universiti Kebangsaan Malaysia Medical Centre were recruited. Blood lactate concentrations were measured upon admission (H0), at 1st hour (H1) and 6th hour (H6), respectively. Either standard treatment of sepsis or early goal directed therapy was initiated according to sepsis severity. A follow-up report was conducted at 28 days via telephone call, e-mail or case notes. Patients were later classified into survivor and non-survivor as final outcome. Static lactate concentration appeared to be significantly higher for non-survivor as compared to the survival group at H0, H1 and H6 (p<0.05). The lactate clearance trend reflects no relationship between early lactate clearance and 28-day mortality. Static lactate concentration showed a superior predictor for sepsis over early lactate clearance. Although early lactate clearance was unable to prove its ability to predict 28-day mortality, our findings suggest it can be a useful tool to gauge the resuscitation outcome. Penerbit UKM 2014-06-01 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8284/1/06-MS0031_%28124-133%29.pdf Tan, TL and Noor Asmidar A, and Ong, WJ and Ahmad Fuad Fahmi MN, and Chieng, ZL and Noor Akmal SI, (2014) The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study. Medicine & Health, 9 (2). pp. 124-133. ISSN 1823-2140 http://www.medicineandhealthukm.com
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description Sepsis causes high mortality and morbidity. Static lactate concentration and early lactate clearance are cited to be a predictor for sepsis survival. This study examined the clinical utility of static lactate concentration and early lactate clearance within the first six hours of admission in Emergency Department (ED) to predict 28-day mortality rate in sepsis patients. Patients who presented with sepsis, severe sepsis or septic shock and admitted to ED of Universiti Kebangsaan Malaysia Medical Centre were recruited. Blood lactate concentrations were measured upon admission (H0), at 1st hour (H1) and 6th hour (H6), respectively. Either standard treatment of sepsis or early goal directed therapy was initiated according to sepsis severity. A follow-up report was conducted at 28 days via telephone call, e-mail or case notes. Patients were later classified into survivor and non-survivor as final outcome. Static lactate concentration appeared to be significantly higher for non-survivor as compared to the survival group at H0, H1 and H6 (p<0.05). The lactate clearance trend reflects no relationship between early lactate clearance and 28-day mortality. Static lactate concentration showed a superior predictor for sepsis over early lactate clearance. Although early lactate clearance was unable to prove its ability to predict 28-day mortality, our findings suggest it can be a useful tool to gauge the resuscitation outcome.
format Article
author Tan, TL
Noor Asmidar A,
Ong, WJ
Ahmad Fuad Fahmi MN,
Chieng, ZL
Noor Akmal SI,
spellingShingle Tan, TL
Noor Asmidar A,
Ong, WJ
Ahmad Fuad Fahmi MN,
Chieng, ZL
Noor Akmal SI,
The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
author_facet Tan, TL
Noor Asmidar A,
Ong, WJ
Ahmad Fuad Fahmi MN,
Chieng, ZL
Noor Akmal SI,
author_sort Tan, TL
title The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
title_short The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
title_full The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
title_fullStr The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
title_full_unstemmed The 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
title_sort 28-day mortality prediction in sepsis patients using static lactate concentration and early lactate clearance: an observational study.
publisher Penerbit UKM
publishDate 2014
url http://journalarticle.ukm.my/8284/
http://journalarticle.ukm.my/8284/
http://journalarticle.ukm.my/8284/1/06-MS0031_%28124-133%29.pdf
first_indexed 2023-09-18T19:52:00Z
last_indexed 2023-09-18T19:52:00Z
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