PERBANDINGAN HASIL DIAGNOSIS LABORATORIUM IgM, IgG SARS-CoV-2 METODE ELISA DAN ICT

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PERBANDINGAN HASIL DIAGNOSIS LABORATORIUM IgM, IgG SARS-CoV-2 METODE ELISA DAN ICT

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ABSTRAK
Perbandingan Hasil Diagnosis Laboratorium IgM, IgG SARS-CoV-2 Metode
ELISA dan ICT
Peneliti : Nada Farida
Dosen Pembimbing : Dinna Rakhmina, Tini Elyn Herlina
Penggunaan alat tes COVID-19 bergantung kepada sensitivitas dan
spesifisitas untuk dapat mendeteksi dan memberikan diagnosis COVID-19 yang
akurat. Hingga saat ini terdapat banyak produksi tes serologi COVID-19 yang bukti
keakuratannya masih terus dipelajari melalui berbagai bukti penelitian. Penelitian
ini bertujuan untuk membandingkan sensitivitas dan spesifisitas metode ELISA,
ICT untuk deteksi IgM, IgG SARS-CoV-2. Metode penelitian yang digunakan
adalah literature review dengan panduan Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) statement. 10 studi dari total 176 studi
diperoleh melalui hasil pencarian menggunakan kata kunci yang dilakukan di
PubMed, Science Direct, dan Google Scholar di bulan Oktober - Desember 2020.
Masing-masing artikel jurnal disaring berdasarkan judul, abstrak, keseluruhan teks
dan dinilai kualitas menggunakan PICOS framework dan JBI Critical Appraisal
Tools. Hasil dianalisis secara deskriptif dan diperoleh perbandingan sensitivitas
hasil diagnosis laboratorium IgM, IgG SARS-CoV-2 metode ELISA sebesar
76,3%, 77,3% lebih tinggi daripada metode ICT sebesar 53,9%, 64,8%. Sebaliknya
spesifisitas metode ICT sebesar 96,2%, 98,1% lebih tinggi daripada metode ELISA
sebesar 94%, 97,1%. Dengan demikian, dapat diketahui faktor yang mempengaruhi
sensitivitas dan spesifisitas kedua metode, yaitu : karakteristik metode ELISA/ICT,
Days Post Onset Symptom, Antigen SARS-CoV-2, tingkat keparahan COVID-19,
nilai cut off , jenis antibodi yang digunakan dan spesifisitas antibodi.
Kata Kunci : Deteksi Antibodi COVID-19, Enzyme Linked Immunosorbent Assay,
Tes Imunokromatografi, Sensitivitas, Spesifisitas.ix
ABSTRACT
Comparison of IgM, IgG SARS-CoV-2 Laboratory Diagnosis Result Using
ELISA and ICT Method
Researcher : Nada Farida
Advisor : Dinna Rakhmina, Tini Elyn Herlina
The use of COVID-19 test kit depends on the sensitivity and specificity to
detect and provide an accurate COVID-19 diagnosis. Currently, there are many
serology tests detecting Antibody of SARS-CoV-2, that the evidence for its
accuracy is still being studied through various evidence research. This study aimed
to compare the sensitivity and specificity of the ELISA and ICT method for IgM,
IgG SARS-CoV-2 detection. The research method used was literature review with
Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA)
statement guideline. 10 out of 176 total studies were obtained from keyword
searches which are carried out in PubMed, Science Direct and Google Scholar
between October and December 2020. Articles were independently screened by
title, abstract and full-text using the PICOS framework and critically appraised
using JBI Critical Appraisal Tools. Findings were descriptively analyzed. As a
result, the sensitivity of IgM, IgG SARS-CoV-2 laboratory diagnosis result using
ELISA method was 76,3%, 77,3% higher than the ICT method 53,9%, 64,8%.
Conversely, the specificity of the ICT method was 96,2%, 98,1% higher than the
ELISA method 94%, 97,1%. Therefore, factor affecting the sensitivity and
specificity of both methods was : characterization of ELISA and ICT, Days post
onset symptom, SARS-CoV-2 antigen, COVID-19 severity, cut off value, the type
of antibody used and the specificity of the antibody.
Keyword : COVID-19 Antibody testing, Serological test, Enzyme Linked
Immunosorbent Assay, Immunochromatographic assay, Sensitivity,
Specificity.


Detail Information

Item Type
Penulis
Nada Farida - Personal Name
Dinna Rakhmina - Personal Name
Tini Elyn Herlina - Personal Name
Student ID
Dosen Pembimbing
Penguji
Kode Prodi PDDIKTI
Edisi
Departement
Kontributor
Bahasa
Indonesia
Penerbit Jurusan Analis Kesehatan : Banjarbaru.,
Edisi
Subyek
No Panggil
ANK.28/SKP-2021
Copyright
Doi

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