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Laurentius A. Pramono
"ABSTRAK
Latar Belakang. Prevalensi disfungsi tiroid lebih tinggi pada pasien diabetes dibandingkan populasi
umum. Hipotiroidisme memperburuk komplikasi, morbiditas, mortalitas, dan kualitas hidup pasien
diabetes melitus tipe 2 (DM tipe 2). Faktor risiko hipotiroidisme pada pasien DM tipe 2 selama ini masih
kontradiktif dan belum dikaji secara lengkap. Keberadaan sistem skor hipotiroidisme pada pasien DM
tipe 2 diperlukan untuk membantu diagnosis dan menapis pasien DM tipe 2 yang memerlukan
pemeriksaan laboratorium fungsi tiroid sebagai baku emas diagnosis hipotiroidisme.
Tujuan. Mengetahui prevalensi dan determinan hipotiroidisme pada pasien DM tipe 2.
Metode. Penelitian dengan desain potong lintang dilakukan di Poliklinik Divisi Metabolik Endokrin
(Poliklinik Diabetes) RSCM pada Juli sampai September 2015 dengan metode sampling konsekutif.
Subjek menjalani anamnesis, pemeriksaan fisis, dan pemeriksaan laboratorium (TSH dan fT4). Analisis
data dilakukan dengan program statistik SPSS Statistics 17.0 untuk analisis univariat, bivariat,
multivariat, dan Receiving Characteristics Operator (ROC) dan SPSS Statistics 20.0 untuk analisis
bootstrapping pada Kalibrasi Hosmer-Lemeshow.
Hasil. Sebanyak 303 subjek dianalisis untuk mendapatkan proporsi disfungsi tiroid dan 299 subjek
dianalisis untuk mendapatkan determinan hipotiroidisme. Sebanyak 23 subjek (7,59%) terdiagnosis
hipotiroidisme, terdiri dari 43,5% subjek hipotiroid klinis dan 56,5% subjek hipotiroid subklinis
berdasarkan Indeks Zulewski dan/atau Indeks Billewicz, dengan 16,7% hipotiroid klinis dan 83,3%
hipotiroid subklinis berdasarkan hasil pemeriksaan fT4. Determinan hipotiroidisme pada pasien DM
tipe 2 adalah riwayat penyakit tiroid di keluarga dengan OR sebesar 4,719 (95% Interval
Kepercayaan/IK 1,07-20,8, p = 0,04), keberadaan goiter dengan OR sebesar 20,679 (95% IK 3,49122,66, p = 0,001),
kontrol glikemik yang buruk dengan OR sebesar 3,460 (95%
IK 1,075-11,14, p = 0,037), dan adanya sindrom metabolik
OR sebesar 25,718 (95% IK 2,21-299,99, p = 0,01). Simpulan. Proporsi hipotiroidisme pada pasien DM tipe 2 adalah 7,59%. Determinan diagnosis dan komponen sistem skor hipotiroidisme pada pasien DM tipe 2 adalah riwayat penyakit tiroid di keluarga, keberadaan goiter, kontrol glikemik yang buruk, dan adanya sindrom metabolik. Sistem skor yang diberi nama Skor Hipotiroid RSCM ini diharapkan menjadi alat bantu diagnosis hipotiroidisme pada pasien
DM tipe 2.
ABSTRACT
Background. Prevalence of thyroid dysfunction is greater in diabetes patients compared to general
population. Hypothyroidism is worsening complications, morbidity, mortality, and quality of life in type
2 diabetes mellitus (T2DM) patients. Risk factors of hypothyroidism in T2DM patients are still
contradictive and not assessed completely. Presence of scoring system to estimate hypothyroidism in
T2DM patients are needed to help diagnosing and screening of T2DM patients who need to undergo
thyroid function test as a gold standard diagnostic for hypothyroidism.
Aim. To identify prevalence and estimators of hypothyroidism in T2DM patients.
Methods. A cross-sectional study was conducted in Metabolic Endocrine (Diabetes) Outpatient Clinic
Cipto Mangunkusumo Hospital from July-September 2015 with consecutive sampling method. All
subjects underwent interview, physical examination, and laboratory testing (TSH and fT4). Analysis
was done by using SPSS Statistics 17.0 for univariate, bivariate, multivariate, and ROC (Receiving
Operator Characteristics) analysis and SPSS Statistics 20.0 for bootstrapping analysis in HosmerLemeshow
Calibration. Results. 303 subjects included for proportion study of thyroid dysfunction and 299
subjects included for analysis of hypothyroidism determinants. 23 subjects (7,59%) are diagnosed as having
hypothyroidism, consisted of 43,5% clinical hypothyroidism and 56,5% subclinical hypothyroidism
based on clinical scoring index by Zulewski and Billewicz, and 16,7% subjects as having clinical
hypothyroidism and 83,3% subjects as having subclinical hypothyroidism based on fT4 examination.
Determinants for hypothyroidism in T2DM patients are family history of thyroid disease with OR 4,719
(95% Confident Interval/CI 1,07-20,8, p = 0,04), having goiter or difus struma with OR 20,679 (95%
CI 3,49-122,66, p = 0,001), poor glycemic control with OR 3,460 (95% CI 1,075-11,14, p = 0,037), and
metabolic syndrome with OR 25,718 (95% CI 2,21-299,99, p = 0,01). Conclusion. Proportion of hypothyroidism in T2DM patients is 7,59%. Determinants and components
of scoring system of hypothyroidism in T2DM patients consist of family history of thyroid disease,
having goiter or difus struma, poor glycemic control, and metabolic syndrome. Scoring system which is
called RSCM Hypothyroid Score is expected to be a tool for helping diagnosis of hypothyroidism in
T2DM patients.;Background. Prevalence of thyroid dysfunction is greater in diabetes patients compared to general
population. Hypothyroidism is worsening complications, morbidity, mortality, and quality of life in type
2 diabetes mellitus (T2DM) patients. Risk factors of hypothyroidism in T2DM patients are still
contradictive and not assessed completely. Presence of scoring system to estimate hypothyroidism in
T2DM patients are needed to help diagnosing and screening of T2DM patients who need to undergo
thyroid function test as a gold standard diagnostic for hypothyroidism.
Aim. To identify prevalence and estimators of hypothyroidism in T2DM patients.
Methods. A cross-sectional study was conducted in Metabolic Endocrine (Diabetes) Outpatient Clinic
Cipto Mangunkusumo Hospital from July-September 2015 with consecutive sampling method. All
subjects underwent interview, physical examination, and laboratory testing (TSH and fT4). Analysis
was done by using SPSS Statistics 17.0 for univariate, bivariate, multivariate, and ROC (Receiving
Operator Characteristics) analysis and SPSS Statistics 20.0 for bootstrapping analysis in HosmerLemeshow
Calibration.
Results.
303
subjects
included
for
proportion
study
of
thyroid
dysfunction
and
299
subjects
included
for
analysis of hypothyroidism determinants. 23 subjects (7,59%) are diagnosed as having
hypothyroidism, consisted of 43,5% clinical hypothyroidism and 56,5% subclinical hypothyroidism
based on clinical scoring index by Zulewski and Billewicz, and 16,7% subjects as having clinical
hypothyroidism and 83,3% subjects as having subclinical hypothyroidism based on fT4 examination.
Determinants for hypothyroidism in T2DM patients are family history of thyroid disease with OR 4,719
(95% Confident Interval/CI 1,07-20,8, p = 0,04), having goiter or difus struma with OR 20,679 (95%
CI 3,49-122,66, p = 0,001), poor glycemic control with OR 3,460 (95% CI 1,075-11,14, p = 0,037), and
metabolic syndrome with OR 25,718 (95% CI 2,21-299,99, p = 0,01).
Conclusion. Proportion of hypothyroidism in T2DM patients is 7,59%. Determinants and components
of scoring system of hypothyroidism in T2DM patients consist of family history of thyroid disease,
having goiter or difus struma, poor glycemic control, and metabolic syndrome. Scoring system which is
called RSCM Hypothyroid Score is expected to be a tool for helping diagnosis of hypothyroidism in
T2DM patients.
;Background. Prevalence of thyroid dysfunction is greater in diabetes patients compared to general
population. Hypothyroidism is worsening complications, morbidity, mortality, and quality of life in type
2 diabetes mellitus (T2DM) patients. Risk factors of hypothyroidism in T2DM patients are still
contradictive and not assessed completely. Presence of scoring system to estimate hypothyroidism in
T2DM patients are needed to help diagnosing and screening of T2DM patients who need to undergo
thyroid function test as a gold standard diagnostic for hypothyroidism.
Aim. To identify prevalence and estimators of hypothyroidism in T2DM patients.
Methods. A cross-sectional study was conducted in Metabolic Endocrine (Diabetes) Outpatient Clinic
Cipto Mangunkusumo Hospital from July-September 2015 with consecutive sampling method. All
subjects underwent interview, physical examination, and laboratory testing (TSH and fT4). Analysis
was done by using SPSS Statistics 17.0 for univariate, bivariate, multivariate, and ROC (Receiving
Operator Characteristics) analysis and SPSS Statistics 20.0 for bootstrapping analysis in HosmerLemeshow
Calibration.
Results.
303
subjects
included
for
proportion
study
of
thyroid
dysfunction
and
299
subjects
included
for
analysis of hypothyroidism determinants. 23 subjects (7,59%) are diagnosed as having
hypothyroidism, consisted of 43,5% clinical hypothyroidism and 56,5% subclinical hypothyroidism
based on clinical scoring index by Zulewski and Billewicz, and 16,7% subjects as having clinical
hypothyroidism and 83,3% subjects as having subclinical hypothyroidism based on fT4 examination.
Determinants for hypothyroidism in T2DM patients are family history of thyroid disease with OR 4,719
(95% Confident Interval/CI 1,07-20,8, p = 0,04), having goiter or difus struma with OR 20,679 (95%
CI 3,49-122,66, p = 0,001), poor glycemic control with OR 3,460 (95% CI 1,075-11,14, p = 0,037), and
metabolic syndrome with OR 25,718 (95% CI 2,21-299,99, p = 0,01).
Conclusion. Proportion of hypothyroidism in T2DM patients is 7,59%. Determinants and components
of scoring system of hypothyroidism in T2DM patients consist of family history of thyroid disease,
having goiter or difus struma, poor glycemic control, and metabolic syndrome. Scoring system which is
called RSCM Hypothyroid Score is expected to be a tool for helping diagnosis of hypothyroidism in
T2DM patients.
"
Fakultas Kedokteran Universitas Indonesia, 2015
SP-PDF
UI - Tugas Akhir  Universitas Indonesia Library
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Tumalun, Victor Larry Eduard
"Latar Belakang: Insidensi dan prevalensi diabetes melitus tipe 2 (DMT2) terus meningkat. Penurunan imunitas yang terjadi pada DMT2 dapat meningkatkan risiko infeksi. Kontrol gula darah yang baik bermanfaat dalam pengendalian infeksi dan pencegahan komplikasi makro dan mikrovaskuler tetapi penelitian yang melibatkan pasien DMT2 usia lanjut masih belum konklusif. Serial kasus ini dilakukan untuk melihat efektivitas kontrol gula darah terhadap kesintasan pasien DMT2 yang dirawat di rumah sakit, dan untuk implementasi tatalaksana nutrisi sesuai kebutuhan dan kondisi klinis pasien.
Metode: Pasien pada serial kasus ini berusia antara 47 ? 65 tahun. Penyulit infeksi pada keempat pasien ini yaitu gangren diabetikum, selulitis, dan sepsis dengan infeksi paru dan infeksi saluran kemih. Tatalaksana nutrisi pasien dilakukan sesuai dengan rekomendasi American Diabetes Association dan Therapeutic Lifestyle Changes disesuaikan dengan kondisi klinis dan toleransi pasien. Perhitungan kebutuhan nutrisi menggunakan rekomendasi untuk perawatan pasien sakit kritis bagi pasien yang dirawat di intensive care unit (ICU), dan menggunakan perhitungan dengan formula Harris-Benedict bagi yang dirawat di ruangan dengan faktor stres sesuai derajat hipermetabolisme pasien. Pasien dipantau selama 7 ? 11 hari. Edukasi diberikan kepada pasien dan keluarga selama perawatan dan saat akan pulang.
Hasil: Dalam pemantauan, tiga pasien menunjukkan perbaikan klinis, toleransi asupan, dan laboratorium, dan dapat dipulangkan, sedangkan satu pasien meninggal dunia.
Kesimpulan: Kontrol gula darah, asupan nutrisi yang adekuat, dan edukasi yang sesuai, dapat meningkatkan kesintasan pasien DMT2 dengan penyulit infeksi yang dirawat di rumah sakit.

Background: The incidence and prevalence of type 2 diabetes mellitus (T2DM) is increasing. Immune disfunction in T2DM patient may increase the risk of infection. The appropriate blood glucose control has a benefit in infection control and macro and microvascular complication prevention. The Studies of glycaemic control included older patients did not find convincing evidence. The aim of this case series is to assess the association between glycaemic control and clinical outcome of hospitalized T2DM patient with comorbid infection, and to provide appropriate nutrition therapy based on individual nutrition needs.
Method: Patients in this case series were between 47 - 65 years old. There of those patients were diagnosed T2DM with comorbid gangrenous diabeticum, cellulitis, and sepsis with lung infection and urinary tract infection. Two patients need intensive care in ICU, and another patients in the ward. Two patients received nutrition therapy as critically ill condition, and the rest as American Diabetic Association recommendation, with basal calorie requirement were calculated using Harris-Benedict formula and stress factor suitable for metabolic changes. Monitoring was done for 7 - 11 days. Education was done for the patient and family during hospitalization and discharge planning.
Results: Three patients showed the improvement of clinical conditions, intake tolerance, and laboratory results, whatever one patient was pass away.
Conclusion: Glycaemic control, adequate nutrition intake, and intensive education, may improve survival rate in hospitalized T2DM patient with infection as comorbid.
"
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2016
SP-Pdf
UI - Tugas Akhir  Universitas Indonesia Library
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Nizmawardini Yaman
"Sambiloto (Andrographis paniculata Nees.) secara empiris telah digunakan sebagai obat alternatif untuk berbagai penyakit termasuk diabetes mellitus. Penelitian ini dilakukan untuk menganalisis efek hipoglikemik kapsul sambiloto sebagai terapi tambahan pada penyandang diabetes melitus tipe 2. Double-blind randomized controlled trial cross-over desain pada 34 subyek dibagi menjadi dua kelompok. Kelompok pertama sambiloto mendapat 2 kali 2 kapsul sehari selama 14 hari, dan kelompok kedua mendapat plasebo selama 14 hari. Kedua kelompok tetap menggunakan metformin sebagai terapi standar kemudian dievaluasi kadar glukosa darah pasca terapi 14 hari. Pada pemberian kapsul sambiloto selama 14 hari tampak penurunan kadar glukosa darah puasa lebih besar dibandingkan plasebo, tetapi tidak bermakna. Kapsul sambiloto bermakna menurunkan kadar glukosa darah 2 jam setelah makan. Kesimpulan: Kapsul sambiloto dapat menurunkan kadar glukosa darah namun bermakna secara statistik hanya 2 jam setelah makan.

Sambiloto (Andrographis paniculata Nees.) is empirically used as an alternative medicine for various diseases including diabetes mellitus, but the scientific evident for treatment in humans is still limited. This study analyze the effects of hypoglycemic sambiloto capsules as additional therapy in patients with type 2 diabetes mellitus. Double-blind randomized controlled trial, cross-over design in 34 subjects who were divided into two groups. The first groups sambiloto received 2 capsules 2 times daily for 14 days, and the second groups received placebo for 14 days. Both groups kept taking metformin as standard therapy with an the evaluation of blood glucose levels on day 14. The results showed that administration of sambiloto capsules for 14 days, the blood glucose levels is greater compared to placebo but not significantly. Sambiloto capsules significantly reduced blood glucose 2 hours after eating. Conclusions: sambiloto capsules shown to reduced blood glucose levels, but statistically significant only in 2 hours after eating."
Depok: Fakultas Farmasi Universitas Indonesia, 2012
T31426
UI - Tesis Open  Universitas Indonesia Library
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Tarigan, Tri Juli Edi
"Latar belakang: Hipomagnesemia berhubungan dengan kejadian pre-diabetes, konversi ke diabetes tipe 2 dan juga komplikasi kronik diabetes, termasuk albuminuria. Hasil studi hubungan antara kadar magnesium dengan kejadian albuminuria pada diabetes melitus tipe 2 masih kontroversial. Untuk itu perlu dilakukan penelitian hubungan tersebut.
Metode: Potong lintang dengan consecutive sampling pada pasien DM tipe 2 yang sudah terdiagnosis nefropati diabetes. Dilakukan anamnesis faktor risiko, pemeriksaan fisik, kadar magnesium, albumine creatinine ratio dan A1C.
Hasil: Tiga puluh delapan subjek ikut dalam penelitian yang sebagian besar berusia lebih 50 tahun dan memiliki kontrol glikemik yang buruk (81,6%). Pada subjek penelitian yang memiliki kadar Mg <1,7 mg/dl 80% mengalami albuminuria, sementara subjek yang memiliki kadar Mg ≥ 1,7 mg/dl didapat 63,6% subjek penelitian yang mengalami albuminuria. Pada penelitian ini didapatkan koefisien korelasi sebesar 0,006 yang menunjukkan hubungan yang lemah antara kadar magnesium dalam darah dengan albuminuria.
Kesimpulan: Secara statistik tidak ditemukan korelasi antara kadar magnesium dengan albuminuria.

Background: Hypomagnesemia associated with occurance of prediabetes, convertion to type 2 diabetes and also chronic complication of diabetes, including albuminuria. Studies that look for correlation magnesium concentration with albuminuria in type 2 diabetes still controvensial that?s why we need to do this research.
Method: Cross sectional study done in type 2 diabetes who have been diagnosed with nephropathy. Correlation Pearson test used to prove correlation between magnesium level with albuminuria.
Result: Thirty eight subjects follow this study, majority of them age more than 50 years old, mostly having bad glycemic control (81,6%).There are 80 % subject with hypomagnesemia (Mg <1,7 mg/dl) suffered from albuminuria while subject with normomagnesia (Mg ≥ 1.7 mg/dl) only 63.6% suffered from albuminuria. This study result in no correlation between magnesium level in type 2 diabetes.
Conclusion: No correlation between serum magnesium concentration with albuminuria.
"
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2014
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Okta Festi Amanda
"Penyakit ginjal kronik (PGK) merupakan salah satu komplikasi serius yang sering terjadi pada pasien diabetes melitus tipe 2. Dibutuhkan sebuah penanda yang dapat mendeteksi PGK sejak awal untuk mencegah progresifitasnya. Penelitian ini bertujuan untuk menganalisis hubungan antara kadar malondialdehida (MDA) serum dengan estimasi laju filtrasi glomerulus (eLFG). MDA merupakan penanda stres oksidatif yang diprediksi berperan dalam tahap awal kerusakan ginjal.
Desain penelitian ini adalah potong lintang. Populasi yang digunakan adalah pasien DM tipe 2 rawat jalan di Puskesmas Pasar Minggu. Sampel yang dianalisis sejumlah 50 orang (14 laki-laki, dan 36 perempuan, rentang usia 39-74 tahun), diambil dengan tenik total sampling. Kadar MDA diukur secara spektrofotometri berdasarkan reaksi antara MDA dengan asam tiobarbiturat, dengan nilai koefisien korelasi (r) dari metode tersebut 0,9996 dan koefisien variasi (%KV) intra dan antar pengukuran berkisar 2,75-13,33%.
Nilai eLFG diukur berdasarkan metode kinetik Jaffe, dengan koefisien korelasi (r) 0,9994 dan %KV intra dan antar pengukuran berkisar 2,91 – 9,52%. Kadar MDA pasien DM tipe 2 diperoleh 0,82 ± 0,26 nmol/ml, dan nilai eLFG diperoleh 78,30 ± 26,77 (Cockroft-Gault); 76,08 ± 24,17 (MDRD study); dan 79,25 ± 21,04 (CKD-EPI). Terdapat hubungan yang bermakna antara kadar MDA dengan nilai eLFG berdasarkan persamaan Cockroft-Gault (p =0,039, r = -0,293), tetapi tidak terlihat hubungan yang bermakna dengan nilai eLFG berdasarkan persamaan MDRD study dan CKD-EPI (p = 0,051 dan p = 0,053; r = -0,277 dan r = -0,275).

Chronic kidney disease (CKD) is one of serious complication that most common in type 2 diabetes mellitus patients. It is important to find a marker that can detect it earlier to prevent its progression. The aim of this study was to analyze the correlation between malondialdehyde (MDA) concentration and estimated glomerular filtration rate (eGFR). MDA is an oxidative stress marker which was predicted allies in early stage of kidney damage.
The design of this study is cross sectional. The population was type 2 DM outpatients at Pasar Minggu Local Government Clinic. Total sampling method was used in sample selection. Samples being analyzed were as much as 50 patients (14 males, 36 females, age ranges : 39-74 years). MDA was measured by spectrophotometric based on its reaction with thiobarbituric acid. The coefficient correlation (r) of this method was 0.9996 and the coefficient of variation (%CV) within and between run were 2.75 - 13.33%.
eGFR was measured based on kinetic Jaffe method. Its coefficient correlation (r) was 0.9994 and %CV within and between run were 2.91-9.52%. MDA concentration in type 2 DM patients in this research was 0.82 ± 0.26 nmol/mL and the eGFR values were 78.30 ± 26.77 (Cockroft-Gault); 76.08 ± 24.17 (MDRD study); and 79.25 ± 21.04 (CKD-EPI). There was a significant correlation between MDA concentration and eGFR based on Cockroft-Gault formula (p =0.039, r = -0.293), but there were no significant correlation between MDA concentration and eGFR based on MDRD study and CKD-EPI (p = 0.051 and p = 0.053; r = -0.277 and r = -0.275).
"
Depok: Fakultas Farmasi Universitas Indonesia, 2013
S46473
UI - Skripsi Membership  Universitas Indonesia Library
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Anip Manfaatun
"Hingga saat ini, penanda biologis yang menggambarkan gangguan fungsi ginjal akibat diabetes melitus (DM) belum dapat mendeteksi adanya kerusakan sejak dini. Studi ini bertujuan untuk mengetahui hubungan antara 8-iso-Prostaglandin F2α dengan laju filtrasi glomerulus yang diestimasi (eLFG) sebagai penanda gangguan fungsi ginjal yang terjadi pada pasien DM tipe 2. Sebagai salah satu senyawa penanda terjadinya stres oksidatif, 8-iso-Prostaglandin F2α diduga berkaitan dengan gangguan fungsi ginjal sebagai salah satu komplikasi diabetes. Kadar 8-iso-Prostaglandin F2α diukur dari urin dan nilai eLFG dihitung dari kreatinin serum. Sampel urin dan serum diambil dari 36 pasien DM tipe 2 dengan teknik total sampling.
Metode spektrofotometri digunakan untuk mengukur kadar kreatinin serum, sedangkan untuk pengukuran kadar 8-iso-Prostaglandin F2α digunakan metode enzyme immunoassay. Data lain yang diperlukan diperoleh melalui kuesioner. Hasil yang diperoleh menunjukkan bahwa peningkatan kadar 8-iso-ProstaglandinF2α berbanding terbalik dengan penurunan nilai eLFG pasien DM tipe 2. Namun, hubungan tersebut tidak bermakna secara statistik. Faktor usia dan kadar glukosa darah merupakan faktor yang paling mempengaruhi nilai eLFG pada pasien DM tipe 2.

Until now, biological marker that describes renal dysfunction due to diabetes mellitus (DM) have not been able to detect any damage early. This study aimed to determine the relationship between 8-iso-Prostaglandin F2α with estimated Glomerular Filtration Rate (eGFR) as a marker of renal dysfunction at type 2 diabetes mellitus. As one of the markers of oxidative stress, 8-iso-ProstaglandinF2α assumed to be associated with renal dysfunction as a complication of diabetes mellitus. The levels of 8-iso-Prostaglandin F2α measured from urine, and eGFR calculated from serum creatinine. Urine and serum samples taken from 36 type 2 DM patients, using total sampling method.
Spectrophotometric used to measure levels of serum creatinine and the levels of 8-iso-Prostaglandin F2α was measured by enzyme immunoassay. Other necessary data obtained through questionnaires. The results showed that increasing level of 8-iso-ProstaglandinF2α was inversely proportional to the decline in eGFR of type 2 DM patients. However, these correlation was not significant statistically. Age and blood glucose were the factors that could effect the value of eGFR in type 2 DM patients.
"
Depok: Fakultas Farmasi Universitas Indonesia, 2013
S47200
UI - Skripsi Membership  Universitas Indonesia Library
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"[Penyakit ginjal kronik (PGK) adalah salah satu komplikasi yang biasanya terjadi pada pasien diabetes melitus tipe 2. Pendeteksian PGK dilakukan dengan menghitung nilai estimasi laju filtrasi glomerulus (eLFG) maupun urine albumin creatinine ratio (UACR). Salah satu biomarker yang sedang diteliti adalah senyawa 8-iso-Prostaglandin F2α. Tujuan dari penelitian ini adalah menganalisis kadar 8-iso-Prostaglandin F2α dan hubungannya dengan eLFG. Sampel yang dianalisis adalah pasien diabetes melitus tipe 2 wanita di Puskesmas Pasar Minggu yang dikumpulkan oleh peneliti sebelumnya tahum lalu secara total sampling. Nilai eLFG diperoleh berdasarkan nilai kreatinin serum yang dihitung dengan rumus Cockroft-Gault, MDRD study, serta CKD-EPI, sedangkan kadar 8-iso-Prostaglandin F2α diukur dengan menggunakan metode ELISA (Enzyme Linked Immunosorbent Assay). Kadar 8-iso-Prostaglandin F2α diperoleh 7069,38 ± 7611,13 pg/mg kreatinin dan nilai eLFG diperoleh 93,15 ± 37,65 (Cockroft-Gault); 89,47 ± 34,30 (MDRD study); dan 87,05 ± 24,69 (CKD-EPI). Hubungan antara kadar 8-iso-Prostaglandin F2α dengan nilai eLFG (92 pasien) berdasarkan persamaan Cockroft-Gault (r = 0,396; p = < 0,001), MDRD (r = 0,375; p = < 0,001) dan CKD-EPI (r = 0,342; p = 0,001). Sehingga diketahui terdapat hubungan yang bermakna antara kadar 8-iso-Prostaglandin F2α dengan nilai eLFG dengan α = 0,05.;Chronic Kidney Desease (CKD) is one of complication that most common in type 2 diabetes mellitus patients. The detection of CKD is be done by calculating estimated glomerular filtration rate (eGFR) and urine albumin creatinine ratio (UACR). One of the biomarkes being studied is 8-iso-Prostaglandin F2α. The aim of this study was to analyze concentration of 8-iso-Prostaglandin F2α and its correlation with estimated glomerular filtration rate (eGFR). Samples analyzed were type 2 diabetes mellitus woman patients at Pasar Minggu Local Government Clinic that collected by previous researcher last year in total sampling . eGFR was obtained based on the measurement of serum creatinine, 8-iso-Prostaglandin F2α was measured by ELISA (Enzyme Linked Immunosorbent Assay) method. Concentration of 8-iso-Prostaglandin F2α was 7069,38 ± 7611,13 pg/mg creatinine and the eGFR values 93,15 ± 37,65 (Cockroft-Gault); 89,47 ± 34,30 (MDRD study); and 87,05 ± 24,69 (CKD-EPI). The correlation between 8-iso-Prostaglandin F2α concentration and eGFR (92 samples) is based on Cockroft-Gault (r = 0,396; p = < 0,001), MDRD (r = 0,375; p = < 0,001) and CKD-EPI (r = 0,342; p = 0,001). So there was a significant correlation between 8-iso-Prostaglandin F2α concentration and eGFR., Chronic Kidney Desease (CKD) is one of complication that most common in type 2 diabetes mellitus patients. The detection of CKD is be done by calculating estimated glomerular filtration rate (eGFR) and urine albumin creatinine ratio (UACR). One of the biomarkes being studied is 8-iso-Prostaglandin F2α. The aim of this study was to analyze concentration of 8-iso-Prostaglandin F2α and its correlation with estimated glomerular filtration rate (eGFR). Samples analyzed were type 2 diabetes mellitus woman patients at Pasar Minggu Local Government Clinic that collected by previous researcher last year in total sampling . eGFR was obtained based on the measurement of serum creatinine, 8-iso-Prostaglandin F2α was measured by ELISA (Enzyme Linked Immunosorbent Assay) method. Concentration of 8-iso-Prostaglandin F2α was 7069,38 ± 7611,13 pg/mg creatinine and the eGFR values 93,15 ± 37,65 (Cockroft-Gault); 89,47 ± 34,30 (MDRD study); and 87,05 ± 24,69 (CKD-EPI). The correlation between 8-iso-Prostaglandin F2α concentration and eGFR (92 samples) is based on Cockroft-Gault (r = 0,396; p = < 0,001), MDRD (r = 0,375; p = < 0,001) and CKD-EPI (r = 0,342; p = 0,001). So there was a significant correlation between 8-iso-Prostaglandin F2α concentration and eGFR.]"
Fakultas Farmasi Universitas Indonesia, 2015
S59479
UI - Skripsi Membership  Universitas Indonesia Library
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Agil Bredly Musa
"Hingga saat ini, belum ada penanda biologis yang menggambarkan kondisi penyakit ginjal kronik (PGK) akibat diabetes melitus (DM) sejak dini. Studi ini bertujuan untuk mengetahui hubungan antara rasio albumin kreatinin urin (Urine Albumin Creatinine Ratio, UACR) dengan laju filtrasi glomerulus yang diestimasi (estimated Glomerular Filtration Rate, eGFR) sebagai penanda gangguan fungsi ginjal pada pasien DM tipe 2 RSUPN Dr. Cipto Mangunkusumo. Sampel urin dan serum diambil dari 18 subjek sehat dan 10 pasien DM tipe 2. Metode spektrofotometri digunakan untuk mengukur kadar albumin urin, kreatinin urin dan kreatinin serum. Data lain diperoleh dari kuesioner.
Hasilnya, nilai eGFR pasien DM (68,85 ± 15,36 (Cockroft); 73,94 ± 16,30 (CKD-EPI)) lebih rendah dibandingkan dengan subjek sehat (90,51 ± 15,69, p < 0,01 (Cockcroft); 91,13 ± 21,21, p < 0,05 (CKD-EPI)), sedangkan nilai UACR pasien DM (314,99 ± 494,92) lebih tinggi dibandingkan dengan subjek sehat (0,48 ± 0,75, p < 0,01). Namun, tidak ditemukan hubungan yang bermakna antara UACR dengan eGFR pasien DM.

Until now, no biological marker that describes the condition of chronic kidney disease (CKD) due to diabetes mellitus (DM) from the outset. This study aimed to determine the relationship between urine albumin creatinine ratio (UACR) with estimated Glomerular Filtration Rate (eGFR) as a marker of renal dysfunction at type 2 diabetes mellitus patients at RSUPN Dr. Cipto Mangunkusumo. Urine and serum samples taken from 18 healthy subjects and 10 type 2 diabetic patients. Spectrophotometric methods used to measure levels of urinary albumin, urinary creatinine and serum creatinine. Other data obtained from questionnaires.
Results, eGFR values were lower in DM patients (68.85 ± 15.36 (Cockroft); 73.94 ± 16.30 (CKD-EPI)) compared with healthy subjects (90.51 ± 15.69, p < 0.01 (Cockcroft); 91,13 ± 21,21, p < 0,05 (CKD-EPI)), while the value of UACR in DM patients (314.99 ± 494.92) was higher than healthy subjects (0.48 ± 0.75, p < 0.01). However, there was no significant correlation between UACR with eGFR of DM patients.
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Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2012
S42858
UI - Skripsi Open  Universitas Indonesia Library
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Yati Darmiati
"Diabetes Melitus tipe 2 merupakan sekumpulan gangguan metabolik dengan karakteristik hiperglikemia. Komplikasi klinis akibat DM berkolerasi dengan status glikemik, sehingga diperlukan upaya pengontrolan status glikemik pasien DM, baik jangka pendek, jangka menengah maupun jangka panjang untuk mencegah atau mengurangi komplikasi progresif akibat penyakit tersebut. Parameter laboratorium untuk pemantauan status glikemik meliputi kadar glukosa darah harian, HbA1c, dan albumin glikat (AG).
Penelitian ini bertujuan untuk mendapatkan gambaran kadar HbA1c dan kadar AG pada pasien DM tipe 2 tidak terkontrol, mendapatkan korelasi antara kadar HbA1c dan kadar AG, juga melihat penurunan kadar HbA1c dan AG sesudah terapi 1 dan 3 bulan. Penelitian dilakukan dengan desain studi diagnostik, yang melibatkan 32 subyek penelitian yang diikuti selama 3 bulan mulai bulan Februari hingga Mei 2014. Diagnosis DM tipe 2 ditegakkan oleh dokter Spesialis Penyakit Dalam dan diagnosis DM tipe 2 tidak terkontrol didapatkan dari hasil pemeriksaan HbA1c > 7 %.
Hasil penelitian mendapatkan rerata (SD) kadar glukosa darah puasa bulan ke-0, ke-1, dan ke-3 berturut-turut sebesar 170,5(51,6) mg/dL; 162,7(54,6) mg/dL, dan 147,3(45,9) mg/dL. Median (rentang) kadar glukosa darah 2 jam postprandial l(G2PP) bulan ke-0 dan ke-1 sebesar 220 mg/dL (90-544) mg/dL dan 191,5 mg/dL (114-468) mg/dL; rerata(SD) kadar G2PP bulan ke-3 sebesar 201(65,98) mg/dL. Korelasi antara kadar HbA1c dan kadar AG adalah : pada bulan ke-0, r=0,79, p<0,001, bulan ke-1 r=0,74, p<0,001 dan bulan ke-3 r=0,78, p<0,001.
Penurunan kadar HbA1c dari baseline (delta-1) dan pada bulan ke-3 (delta-3) adalah median (rentang) delta-1 sebesar 0,43% (0,35-0,74)%, p<0,001 dan median (rentang) delta-3 sebesar 0,89% (0,64-2,30)%, p<0,001. Penurunan kadar AG bulan ke-1 dari baseline (delta-1) dan pada bulan ke-3 (delta-3): median (rentang) delta-1 sebesar 0,94% (0,48-1,64)%, p<0,001, dan median (rentang) delta-3 sebesar 1,79% (0,33-1,40)%, p<0,001.
Kami menyimpulkan bahwa terdapat korelasi positif bermakna antara kadar HbA1c dan kadar AG pada bulan ke-0, ke-1, dan ke-3, dengan kekuatan korelasi kuat (r = 0.7-0.8), selain itu terdapat penurunan kadar HbA1c dan AG yang bermakna sesudah terapi 1 dan 3 bulan.

Type 2 diabetes mellitus (T2DM) is a group of metabolic disorders with hyperglycemic characteristic. Clinical complications of DM correlate with glycemic state, therefore it is necessary to make an effort to control DM glycemic state, in short-, medium-, and long-term to prevent or minimize progressive complications due to the disease. Laboratory parameters to monitor glycemic state include daily blood glucose, HbA1c, and glycated albumin (GA).
This study aimed to obtain HbA1c and GA levels in uncontrolled type 2 DM patients, the correlations between HbA1c and GA levels, and also the decrease in HbA1c and GA levels after 1 month and 3 months treatment. This was a diagnostic study involving 32 subjects that were followed for 3 months from February to May 2014. Type 2 DM was diagnosed by the internist in the Department of Internal Medicine and the uncontrolled type 2 DM was confirmed by HbA1c measurement of > 7%.
The results showed that mean (SD) fasting blood glucose levels at baseline, 1 month and 3 months were 170.5 (51.6) mg/dL; 162.7 (54.6) mg/dL, and 147.3(45.9) mg/dL, respectively. Median (range) 2 hours postprandial blood glucose levels at baseline and 1 month respectively, were 220 mg/dL (90-544) mg/dL and 191.5 mg/dL, respectively, and mean (SD) at 3 months was 201,7 (65,98) mg/dL. Correlations between HbA1c and GA levels : at baseline r =0.79, p<0.001, at 1 month r=0.74, p<0.001 and at 3 months r=0.78, p<0.001.
Decreases of HbA1c level from baseline, at 1 month (delta-1) and at 3 months (delta-3) : median (range) delta-1was 0.43% (0.35-0.74)%, p<0.001 and median (range) delta-3 was 0.89% (0.64-2.30)%, p<0.001. Decreases of GA level from baseline, at 1 month (delta-1) and at 3 months (delta-3) : median (range) delta-1 was 0.94%(0.48-1.64)%, p<0.001, and median (range) delta-3 was 1.79%(0.33-1.40)%, p<0.001.
We concluded that there were significant positive correlations between HbA1c and GA levels at baseline,1 month and 3 months, with strong correlations (r=0.7-0.8). In addition, there were also significant decreases in HbA1c and GA levels from baseline at 1 month and 3 months therapy.
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Jakarta: Fakultas Kedokteran Universitas Indonesia, 2014
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Ruth Rasalhaque
"Diabetes Melitus tipe 2 merupakan penyebab kematian ke-2 pada kelompok usia 45-54 tahun di daerah perkotaan, sedangkan di pedesaan menduduki peringkat ke-6. Angka kejadiannya berhubungan dengan adanya resistensi insulin akibat berbagai macam faktor. Pola paling umum dijumpai adalah dislipidemia terutama hipertrigliseridemia dan pengurangan kadar HDL. Penelitian ini dirancang untuk melihat gambaran kadar trigliserida pada pasien DM tipe 2 yang berobat ke Poli IPD RSCM pada tahun 2010. Didapatkan bahwa dari 108 subyek, 55 orang berusia ≥55 tahun, 68 orang berjenis kelamin perempuan, 71 orang tidak merokok, dan 84 orang dengan kadar trigliserida normal. Dari hasil analisis didapat hubungan tidak bermakna antara kadar trigliserida dengan usia (Mann-Whitney, p = 0.104), jenis kelamin (Chi-square, p = 0.062), perilaku merokok (Chi-square, p = 0,973), kadar gula darah puasa (Mann-Whitney, p = 0.973), dan kadar gula darah dua jam post prandial. (Mann-Whitney, p = 0.539). Rerata TG berdasarkan analisis data adalah 140,5 (49-1144) mg/dL. Nilai rerata kadar glukosa darah puasa (GDP) 186,5 (114-559) mg/dL. Analisis data menunjukkan sebaran tidak normal dengan rerata kadar gula darah dua jam post prandial (GD2PP) sebesar 291 (178-582) mg/dL.

Type 2 diabetic melitus is the second death cause on urban residencies age ranged 45-54 year old, while it is the 6th leading death cause on rural area, based on RISKEDA 2007. High rate of prevalencies is because insulin resistancies as results of multifactorial. Most common patern is dislipidemia especially hypertriglyceride and low level of HDL. This researh is designed to picture triglyceride level on type 2 diabetic melitus patients in RSCM on year 2010. Known that from 108 subjects, 55 are aged ≥55 year old, 68 are women, 71 don’t smoke and 84 with normal level of triglyceride. From analitic processes, known that triglyceride level is not associated with age (Mann-hitney, p = 0.104), sex (Chi-square, p = 0.062), smoking habbit (Chi-square, p = 0,973), fasting blood glucose (Mann-Whitney, p = 0.973), and 2 hours post-prandial blood glucose (Mann-Whitney, p = 0.539). Mean rate of triglyceride level is 140,5 (49-1144) mg/dL. Mean rate fasting blood glucose is 186,5 (114-559) mg/dL. Data analysis doesn’t show normal distribution on mean rate of level 2 hours post prandial blood glucose 291 (178-582) mg/dL."
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2011
S-Pdf
UI - Skripsi Membership  Universitas Indonesia Library
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