Are Lipoprotein Levels and Ratios Able to Predict Mortality due to Sepsis?


Journal

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
ISSN: 1681-7168
Titre abrégé: J Coll Physicians Surg Pak
Pays: Pakistan
ID NLM: 9606447

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 28 09 2019
accepted: 27 01 2020
entrez: 15 3 2020
pubmed: 15 3 2020
medline: 9 2 2021
Statut: ppublish

Résumé

To compare lipoprotein levels, and non-HDL to high-density lipoprotein (HDL) ratios of survivors and nonsurvivors of sepsis, and to determine the predictivity levels of specified parameters in mortality. Descriptive study. Department of Internal Medicine, Kirikkale University, School of Medicine, Training and Research Hospital, Kirikkale, Turkey, from December 2017 to December 2018. The study subjects included 37 non-survivors and 32 survivors of sepsis with similar ages, comorbidities, and disease activities. The total lipoprotein levels, and non-HDL to HDL ratios of the participants were compared retrospectively. HDL and non-HDL to HDL ratios were found to be different between the two groups. The cut-off levels of these values were determined as 32 and 3.4, respectively. The cut-off levels found in the study suggest that the low HDL levels and high non-HDL to HDL ratios significantly increase the mortality risk for patients (OR=1.8 and 3.45, respectively). Non-HDL to HDL ratio may be used as a useful tool for predicting sepsis mortality. These values may also be included as a part of scoring systems. Further investigations are needed to clarify the role of lipoproteins in sepsis.

Identifiants

pubmed: 32169135
pii: 040579197
doi: 10.29271/jcpsp.2020.03.272
doi:

Substances chimiques

Lipoproteins, HDL 0
Lipoproteins, LDL 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

272-275

Auteurs

Irfan Karahan (I)

Department of Internal Medicine, Kirikkale University, School of Medicine, Training and Research Hospital, Kirikkale, Turkey.

Aydin Cifci (A)

Department of Internal Medicine, Kirikkale University, School of Medicine, Training and Research Hospital, Kirikkale, Turkey.

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Classifications MeSH