Skip to content
naulon
Not checkedNot checked for notices yet.

Uji Validitas Neutrophil Gelatinase Associated Lipocalin sebagai Penanda Diagnosis Gangguan Ginjal Akut pada Sepsis

Hidayat, Ida Parwati, Rubin Surachno Gondodiputro and 1 more

Majalah Kedokteran Bandung · 2012

doi:10.15395/mkb.v44n2.131 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Acute kidney injury (AKI) is an abrupt decrease of renal function which marked by increase of serum creatinine ≥0.3 mg/dL or ≥1.5 times of previous level or decrease urine output <0.5 mL/hour in >6 hours. Sepsis is the most common cause of AKI with incidence rate is about 20–50% and mortality nearly 70%. Urine neutrophil gelatinaseassociated lipocalin (NGAL) level in AKI patients can increase quickly and earlier compared with serum creatinine and could be as a marker for AKI. The purpose of this study was to assess the validity of urine NGAL as diagnostic marker of AKI on sepsis patients. Subjects were 50 urine samples of sepsis patients from Emergency Department (ED), Intensive Care Unit (ICU) and Medical Intermediate Care (MIC) in Dr. Hasan Sadikin Hospital Bandung between February and May 2010 and were examined with enzyme linked immunosorbent assay (ELISA) method. Data analysis was performed by non parametric Mann-Whitney test, receiver operating characteristic (ROC) analysis and validity test.The results found that urine NGAL of AKI patients were significantly higher compared with non AKI patients (3,380 ng/mL vs 116 ng/mL, p<0.001). A cut-off point >107 ng/mL for urine NGAL had a sensitivity of 100%, specificity of 36%, positive predictive value (PPV) of 60.9%, negative predictive value (NPV) of 100% and accuracy of 68%. In conclusions, urinary NGAL level has good validity and could be used as a screening test for AKI on sepsis patients.

Abstract licence: CC BY-NC

References21

  1. 1.
  2. 3.

19 more references, whose wording the paper’s licence keeps private.

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.