PERBEDAAN KADAR SERUM AMYLOID A PADA SEPSIS DENGAN OUTCOME KEMATIAN DAN TANPA KEMATIAN

• Main Authors: , RAMA ALGI OCTAVIANTO, , dr. Rizka Humardewayanti Asdie, Sp.PD-KPTI
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2014
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/128184/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=68519
• Institution: Universitas Gadjah Mada

Sepsis is one of the top ten causes of death in United States of America (USA). Sepsis is a systemic inflammation response or systemic inflammatory response syndromes (SIRS) of clinical response to infections. Due to these infections, acute phase responses occurred. These responses involve changes in concentrations of several protein plasma as C-reactive protein (CRP), procalcitonis (PCT), and A amyloid serum (AAS). A amyloid serum is an apolipoprotein which has potency to become septic marker and produced by liver during acute phase response, along with CRP and PCT, have begun to be established as septic prognosis factor. There has not been a particular research concerning AAS level in septic patients with death outcome in Sardjito Central hospital Yogyakarta so far. The objective of this study is to determine the difference of AAS level in sepsis with death outcome in Sardjito Central Hospital Yogyakarta. This study was an observational study with cross sectional design to determine difference of AAS level in septis with death outcome in Sardjito Central Hospital Yogyakarta. The subject of the study was patients aged >18 years old, admitted to Sardjito Central Hospital, and fulfilled the criteria of sepsis. Sample was divided into two groups, they are group of mortality and group of survival for 28 days of care. To measure differences between AAS level (numeric data) and death outcome (category data) in sepsis, unpaired t-test was conducted for normal data range and data transformation was established when data range found to be not normal. If the new variable resulted from data transformation has normal distribution, unpaired t test was used, otherwise Mann-Whitney test was used.