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Salwito Sartafuta
"[ABSTRAK
Pendahuluan:
Antinuclear antibodies (ANA) adalah autoantibodi terhadap berbagai antigen
intranuklear seperti deoxyribonucleic acid (DNA), small nuclear
ribonucleoproteins (snRNPs) dan lain-lain. Hasil pemeriksaan ANA dilaporkan
dalam titer dan polanya. Pada saat ini sesuai anjuran manufacturer, interpretasi
titer ANA menggunakan kit Mosaic HEp-20-10/Liver (Monkey) dari Euroimmun
hanya berdasarkan pengenceran 1/100 dan 1/1000 dengan intensitas fluoresensi
strong, moderate atau weak, dan dilaporkan hasil titer 1/100, 1/320, 1/1000 atau
>1/1000. Pada penelitian ini dilakukan pemeriksaan ANA dengan pengenceran
1/100, 1/320 dan 1/1000. Interpretasi pembacaan dinilai dengan (3 pengenceran)
dan tanpa pengenceran 1/320 (2 pengenceran), kemudian dibandingkan
kesesuaian antara keduanya. Terdapat lebih dari 35 pola ANA-IFA yang telah
diidentifikasi, dengan sekitar 100 jenis kemungkinan autoantibodi. Pola tersebut
dapat dijadikan langkah awal identifikasi jenis autoantibodi. Tersedia tes dengan
kombinasi berbagai antigen yang dikenal sebagai profil ANA. Penelitian ini juga
dilakukan untuk mengetahui kesesuaian pola ANA-IFA dengan profil ANA.
Metodologi Penelitian:
Penelitian ini merupakan penelitian dengan desain potong lintang, dilakukan di
laboratorium imunologi RSCM selama Juni-Juli 2015. Subjek penelitian adalah
serum yang dikirim ke laboratorium RSCM untuk pemeriksaan ANA dengan
besar sampel 75 sampel. Data dilaporkan dalam bentuk deskriptif analitik. Data
dari interpretasi 2 pengenceran (1/100 dan 1/1000) dengan 3 pengenceran (1/100,
1/320 dan 1/1000) dinilai kesesuaiannya dengan menggunakan uji statistik Kappa.
Hasil Penelitian:
Pola ANA-IFA tersering yang ditemukan adalah spekel kasar (35,2%), spekel
halus (32,4%), nukleoli (13%), homogen (6,5%), sitoplasma granuler (6,5%),
sentriol (3,7%), sentromer (0,9%), nuclear dots (0,9%) dan negatif (0,9%).
Interpretasi yang sama antara 2 pengenceran dengan 3 pengenceran sebesar
80,6%. Pada perhitungan uji statistik kappa, didapatkan nilai kappa sebesar 0,67.
Kesesuaian pola ANA-IFA dengan profil ANA adalah sebesar 20,8%.
Kesimpulan:
Nilai kappa sebesar 0,67 menunjukkan kesesuaian pada tingkat good. Walaupun
demikian, kesalahan interpretasi titer ANA-IFA dengan menggunakan 2
pengenceran terjadi pada 19,4% kasus. Kesesuaian pola ANA-IFA dengan profil
ANA sebesar 20,8%.

ABSTRACT
Background:
Antinuclear antibodies (ANA) are autoantibodies which react with various
intranuclear antigens such as deoxyribonucleic acid (DNA), small nuclear
ribonucleoproteins (snRNPs) and others. Laboratory results of ANA were shown
as titer and pattern. Nowadays, manufacturer recommend ANA interpretation
using Mosaic HEp-20-10/Liver kit (Monkey) from Euroimmun with 1/100 and
1/1000 dilutions and strong, moderate or weak fluorescence intensity. The titer
should reported as 1/100, 1/320, 1/1000 or >1/1000. In this research, the dilution
used were 1/100, 1/320 and 1/1000. The data were interpreted from 3 dilutions
and 2 dilutions (without 1/320 dilution), the conformity from two interpretations
were compared. There are more than 35 ANA-IFA patterns identified, with about
100 autoantibodies possibility. Those patterns act as baseline identification of
autoantibodies. The test using few antigen combinations known as ANA profile.
The purpose of this study also to compare the conformity of ANA-IFA pattern and
ANA profile.
Methods:
This study is a cross-sectional research in immunology laboratory RSCM during
June-July 2015. The subjects were serum sample for ANA test. The sample was
75. Data were shown as analytical descriptive data. The conformity of
interpretation data from 3 dilutions and 2 dilutions were assessed using Kappa
statistical analysis.
Results:
The ANA-IFA pattern shown were coarse speckled (35,2%), fine speckled
(32,4%), nucleolar (13%), homogenous (6,5%), granular cytoplasm (6,5%),
centriole (3,7%), centromere (0,9%), nuclear dots (0,9%) and negative (0,9%).
The similar interpretation between 2 dilutions and 3 dilutions were 80,6%. Kappa
statistical analysis showed Kappa score 0,67. The conformity between ANA-IFA
pattern and ANA profile were 20,8%.
Conclusion:
Kappa score 0,67 showed the conformity in good level. Nevertheless, there are
mistakes of ANA-IFA interpretation using 2 dilutions in 19,4% cases. The
conformity of ANA-IFA pattern with ANA profile were 20,8%., Background:
Antinuclear antibodies (ANA) are autoantibodies which react with various
intranuclear antigens such as deoxyribonucleic acid (DNA), small nuclear
ribonucleoproteins (snRNPs) and others. Laboratory results of ANA were shown
as titer and pattern. Nowadays, manufacturer recommend ANA interpretation
using Mosaic HEp-20-10/Liver kit (Monkey) from Euroimmun with 1/100 and
1/1000 dilutions and strong, moderate or weak fluorescence intensity. The titer
should reported as 1/100, 1/320, 1/1000 or >1/1000. In this research, the dilution
used were 1/100, 1/320 and 1/1000. The data were interpreted from 3 dilutions
and 2 dilutions (without 1/320 dilution), the conformity from two interpretations
were compared. There are more than 35 ANA-IFA patterns identified, with about
100 autoantibodies possibility. Those patterns act as baseline identification of
autoantibodies. The test using few antigen combinations known as ANA profile.
The purpose of this study also to compare the conformity of ANA-IFA pattern and
ANA profile.
Methods:
This study is a cross-sectional research in immunology laboratory RSCM during
June-July 2015. The subjects were serum sample for ANA test. The sample was
75. Data were shown as analytical descriptive data. The conformity of
interpretation data from 3 dilutions and 2 dilutions were assessed using Kappa
statistical analysis.
Results:
The ANA-IFA pattern shown were coarse speckled (35,2%), fine speckled
(32,4%), nucleolar (13%), homogenous (6,5%), granular cytoplasm (6,5%),
centriole (3,7%), centromere (0,9%), nuclear dots (0,9%) and negative (0,9%).
The similar interpretation between 2 dilutions and 3 dilutions were 80,6%. Kappa
statistical analysis showed Kappa score 0,67. The conformity between ANA-IFA
pattern and ANA profile were 20,8%.
Conclusion:
Kappa score 0,67 showed the conformity in good level. Nevertheless, there are
mistakes of ANA-IFA interpretation using 2 dilutions in 19,4% cases. The
conformity of ANA-IFA pattern with ANA profile were 20,8%.]"
2015
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Banjarnahor, Reny Damayanti
"Diabetes melitus merupakan suatu kelompok penyakit metabolik dengan hiperglikemia sebagai karakteristik utama. Hiperglikemia terjadi karena kelainan sekresi insulin, kerja insulin, dan atau keduanya. Sekitar 50% penyandang diabetes di Indonesia belum terdiagnosis sehingga komplikasi akibat DM tidak dapat dihindari. Pengendalian terjadinya komplikasi dilakukan dengan kontrol glikemik secara teratur. Pemeriksaan kontrol glikemik antara lain dengan glukosa darah puasa, HbA1c, dan fruktosamin.
Penelitian ini bertujuan untuk melihat gambaran kadar fruktosamin dan HbA1c pada diabetes melitus tipe 2 tidak terkontrol, mengetahui perubahan kadar fruktosamin dan HbA1c setelah terapi 2 minggu dan 8 minggu, serta hubungan antara keduanya.
Penelitian ini menggunakan desain kohort prospektif pada 33 subyek yang terdiri dari 24 orang perempuan dan 9 orang laki-laki. Subyek penelitian diikuti selama 2 minggu dan 8 minggu sejak dilakukan perubahan terapi. Penelitian dimulai pada bulan Februari sampai April 2015. Subyek yang termasuk dalam penelitian adalah diabetes mellitus tipe 2 yang tidak terkontrol dengan HbA1c>7%.
Hasil penelitian diperoleh nilai median dan rentang fruktosamin pada minggu ke-0, minggu ke-2, dan minggu ke-8 berturut-turut 362 μmol/L (257-711), 327 μmol/L (234-616), dan 350 μmol/L (245-660). Kadar HbA1c memiliki nilai median dan rentang pada minggu ke-0, minggu ke-2, dan minggu ke-8 yaitu 9.3% (7.1-14.8), 8.8% (6.9-12.7), dan 8.4% (5.9-14.2). Terdapat penurunan bermakna kadar fruktosamin dan HbA1c dengan p<0.001. Adanya korelasi yang kuat dan arah korelasi yang positif antara fruktosamin dan HbA1c (minggu ke-0, r=0.86; minggu ke-2, r=0.82; minggu ke-8, r= 0.84).
Pada penelitian ini diperoleh penurunan yang bermakna kadar fruktosamin dan HbA1c pada 2 minggu dan 8 minggu setelah terapi dengan korelasi yang kuat ( r > 0.8) dan arah korelasi positif. Fruktosamin lebih baik digunakan untuk kontrol glikemik jangka menengah (2 minggu) sedangkan HbA1c lebih baik dipakai untuk kontrol glikemik jangka panjang (8 minggu).

Diabetes mellitus is a group of metabolic diseases with hyperglycemia as the main characteristics. Hyperglycemia occurs due to abnormalities in insulin secretion, insulin action, or both. Approximately 50% of people with diabetes in Indonesia have not been diagnosed, thus complications due to diabetes cannot be avoided. Taking control of diabetes mellitus can be done through glycemic control measurements on a regular basis. Fasting blood glucose, HbA1c, and fructosamine tests are lists of key features for glycemic control measurements.
The aims of this study was to overview the levels of fructosamine and HbA1c in uncontrolled type-2 diabetes mellitus, determine changes in fructosamine and HbA1c levels after two weeks and eight weeks of treatment, and analyze the relationship between the two.
This study used a prospective cohort design with 33 subjects consisted of 24 women and 9 men. Subjects were followed for two weeks and eight weeks after the initial therapy amendment. The study began in February and April 2015. The subjects included in the study were uncontrolled type-2 diabetes mellitus with HbA1c> 7%.
Fructosamine concentration, given as median and range values, at weeks 0, 2, and 8 were 362 μmol/L (257-711), 347 μmol/L (234-660), and 333 μmol/L (235-676), respectively. HbA1c levels (median and range) at weeks 0, 2, and 8 were 9.3% (7.1-14.8), 8.8% (6.9-12.7) and 8.4% (5.9-14.2). There was a significant reduction of fructosamine and HbA1c levels (p <0.001). A strong and positive correlation were found between fructosamine and HbA1c (week 0, r = 0.86; week 2, r = 0.82; week 8, r = 0.84).
From this study, it can be concluded that fructosamine and HbA1c levels were significantly reduced at weeks 2 and 8 after treatment, with a positive strong correlation (r> 0.8). Thus, fructosamine is preferable for medium-term (two weeks) glycemic control while the HbA1c is preferred for long-term (eight weeks) glycemic control.
"
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2015
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Yohanes Salim
"[ABSTRAK
Anemia defisiensi besi dan thalassemia β trait merupakan penyebab
tersering anemia mikrositik hipokrom di Indonesia. Kedua penyakit tersebut sulit
dibedakan hanya dengan pemeriksaan hematologi, oleh karena itu diperlukan
pemeriksaan tambahan seperti feritin dan analisis hemoglobin. Namun tidak semua
laboratorium dapat melakukan pemeriksaan ini. Banyak penelitian yang
membedakan kedua penyakit tersebut dengan indeks eritrosit. Namun indeks
eritrosit memiliki nilai diagnostik yang berbeda di setiap negara dan belum ada data
di Indonesia. Penelitian ini melakukan uji diagnostik Indeks Mentzer, RDW, Green-
King, Sirdah, dan mencari nilai cut-off baru yang memberikan nilai diagnostik lebih
baik.
Penelitian terdiri dari 98 subyek definitif anemia defisiensi besi dan 80
subyek thalassemia β trait. Nilai diagnostik Indeks Mentzer untuk anemia defisiensi
besi adalah sensitivitas 83.6%, spesifisitas 66.2%, NPP 75.2%, NPN 76.8%, RKP
2.4, RKN 0.2. Nilai diagnostik Indeks Mentzer untuk thalassemia β trait adalah
sensitivitas 66.2%, spesifisitas 83.6%, NPP 76.8%, NPN 75.2%, RKP 4.0, RKN
0.4. Nilai diagnostik Indeks RDW untuk anemia defisiensi besi adalah sensitivitas
91.8%, spesifisitas 75%, NPP 81.8%, NPN 88.2%, RKP 3.6, RKN 0.1. Nilai
diagnostik Indeks RDW untuk thalassemia β trait adalah sensitivitas 75%,
spesifisitas 91.8%, NPP 88.2%, NPN 81.8%, RKP 9.1, RKN 0.2. Nilai diagnostik
Indeks Green-King untuk anemia defisiensi besi adalah sensitivitas 96.9%,
spesifisitas 67.5%, NPP 78.5%, NPN 94.7%, RKP 2.9, RKN 0.04. Nilai diagnostik
Indeks Green-King untuk thalassemia β trait adalah sensitivitas 67.5%, spesifisitas
96.9%, NPP 94.7%, NPN 78.5%, RKP 22.0, RKN 0.3. Nilai diagnostik Indeks
Sirdah untuk anemia defisiensi besi adalah sensitivitas 92.8%, spesifisitas 58.7%,
NPP 73.3%, NPN 87.0%, RKP 2.2, RKN 0.1.Nilai diagnostik Indeks Sirdah untuk
thalassemia β trait adalah sensitivitas 58.7%, spesifisitas 92.8%, NPP 87.0%, NPN
73.3%, RKP 8.2, RKN 0.4. Nilai cut-off baru Indeks Mentzer adalah 13.44, RDWI
233.4, Green-King 75.06, dan Sirdah 32.52.
Keempat indeks eritrosit dapat diaplikasikan untuk orang Indonesia dengan
Indeks Green-King sebagai indeks yang terbaik.

ABSTRACT
Iron deficiency anemia and β trait thalassemia are the most common causes
of microcytic hypochromic anemia in Indonesia. Differentiation between them is
difficult when solely based on a hematology examination, so additional laboratory
tests are required such as ferritin and hemoglobin analysis. However, not all
laboratories can perform these tests. Many erythrocytes indices have been proposed
to determine whether a blood sample is more suggestive for iron deficiency anemia
or β trait thalassemia. Unfortunately these indices have different diagnostic value
in many countries and there is no data about diagnostic value in Indonesia. This
study performs diagnostic test Mentzer, RDW, Green-King, and Sirdah Index and
develops a new cut-off point that could make a better diagnostic value.
This study consists of 98 subjects of iron deficiency anemia and 80 subjects
of β trait thalassemia. Diagnostic values of Mentzer Index for iron deficiency
anemia were sensitivity 83.6%, specificity 66.2%, PPV 75.2%, NPV 76.8%, LR+
2.4, LR- 0.2. Diagnostic values of Mentzer Index for β trait thalassemia were
sensitivity 66.2%, specificity 83.6%, PPV 76.8%, NPV 75.2%, LR+ 4.0, LR- 0.4.
Diagnostic values of RDW Index for iron deficiency anemia were sensitivity
91.8%, specificity 75%, PPV 81.8%, NPV 88.2%, LR+ 3.6, LR- 0.1. Diagnostic
values of RDW Index for β trait thalassemia were sensitivity 75%, specificity
91.8%, PPV 88.2%, NPV 81.8%, LR+ 9.1, LR- 0.2. Diagnostic values of Green-
King Index for iron deficiency anemia were sensitivity 96.9%, specificity 67.5%,
PPV 78.5%, NPV 94.7%, LR+ 2.9, LR- 0.04. Diagnostic values of Green-King
Index for β trait thalassemia were sensitivity 67.5%, specificity 96.9%, PPV 94.7%,
NPV 78.5%, LR+ 22.0, LR- 0.3. Diagnostic values of Sirdah Index for iron
deficiency anemia were sensitivity 92.8%, specificity 58.7%, PPV 73.3%, NPV
87.0%, LR+ 2.2, LR- 0.1. Diagnostic values Sirdah Index for β trait thalassemia
were sensitivity 58.7%, specificity 92.8%, PPV 87.0%, NPV 73.3%, LR+ 8.2, LR-
0.4. The new cut-off point of Mentzer, RDW, Green-King, and Sirdah Index was
13.44, 233.4, 75.06, and 32.52 respectively.
All indices can be applied for Indonesian people, among which Green-King
Index had the best diagnostic value, Iron deficiency anemia and β trait thalassemia are the most common causes
of microcytic hypochromic anemia in Indonesia. Differentiation between them is
difficult when solely based on a hematology examination, so additional laboratory
tests are required such as ferritin and hemoglobin analysis. However, not all
laboratories can perform these tests. Many erythrocytes indices have been proposed
to determine whether a blood sample is more suggestive for iron deficiency anemia
or β trait thalassemia. Unfortunately these indices have different diagnostic value
in many countries and there is no data about diagnostic value in Indonesia. This
study performs diagnostic test Mentzer, RDW, Green-King, and Sirdah Index and
develops a new cut-off point that could make a better diagnostic value.
This study consists of 98 subjects of iron deficiency anemia and 80 subjects
of β trait thalassemia. Diagnostic values of Mentzer Index for iron deficiency
anemia were sensitivity 83.6%, specificity 66.2%, PPV 75.2%, NPV 76.8%, LR+
2.4, LR- 0.2. Diagnostic values of Mentzer Index for β trait thalassemia were
sensitivity 66.2%, specificity 83.6%, PPV 76.8%, NPV 75.2%, LR+ 4.0, LR- 0.4.
Diagnostic values of RDW Index for iron deficiency anemia were sensitivity
91.8%, specificity 75%, PPV 81.8%, NPV 88.2%, LR+ 3.6, LR- 0.1. Diagnostic
values of RDW Index for β trait thalassemia were sensitivity 75%, specificity
91.8%, PPV 88.2%, NPV 81.8%, LR+ 9.1, LR- 0.2. Diagnostic values of Green-
King Index for iron deficiency anemia were sensitivity 96.9%, specificity 67.5%,
PPV 78.5%, NPV 94.7%, LR+ 2.9, LR- 0.04. Diagnostic values of Green-King
Index for β trait thalassemia were sensitivity 67.5%, specificity 96.9%, PPV 94.7%,
NPV 78.5%, LR+ 22.0, LR- 0.3. Diagnostic values of Sirdah Index for iron
deficiency anemia were sensitivity 92.8%, specificity 58.7%, PPV 73.3%, NPV
87.0%, LR+ 2.2, LR- 0.1. Diagnostic values Sirdah Index for β trait thalassemia
were sensitivity 58.7%, specificity 92.8%, PPV 87.0%, NPV 73.3%, LR+ 8.2, LR-
0.4. The new cut-off point of Mentzer, RDW, Green-King, and Sirdah Index was
13.44, 233.4, 75.06, and 32.52 respectively.
All indices can be applied for Indonesian people, among which Green-King
Index had the best diagnostic value]"
2015
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library