Hasil Pencarian  ::  Simpan CSV :: Kembali

Hasil Pencarian

Ditemukan 2 dokumen yang sesuai dengan query
cover
Eric Daniel Tenda
"ABSTRAK
Tujuan : Untuk menilai dan mengetahui pengaruh pemberian kombinasi asam
amino rantai cabang (AARC) dengan L-ornitin L-aspartat (LOLA) larut malam
terhadap status nutrisi dan ensefalopati hepatikum derajat rendah pada pasien
sirosis hati.
Metode : Populasi terjangkau penelitian adalah pasien poliklinik hati rumah sakit
Cipto Mangunkusumo periode Juni 2011 – Juni 2012 yang kemudian dilakukan
evaluasi critical flicker frequency (CFF). Semua pasien yang masuk dalam
populasi penelitian adalah subjek penelitian yang memenuhi kriteria inklusi
penelitian. Subjek penelitian kemudian diberikan edukasi diet sesuai dengan
konsensus ESPEN. Subjek penelitian dibagi dalam 2 kelompok sesuai hasil
randomisasi, yaitu kelompok makanan selingan siang hari (MSSH) dan kelompok
makanan selingan malam hari (MSMH). Evaluasi terhadap anamnesis,
pemeriksaan fisik, laboratorium dan CFF dilakukan 1 bulan setelah intervensi.
Analisis statistik yang digunakan dalam penelitian uji acak tersamar tunggal ini
adalah uji t independen.
Hasil : Tiga puluh dua pasien yang sesuai dengan kriteria inklusi dibagi dalam 2
kelompok intervensi. Kelompok A, MSSH (07.30 dan 12.30) dan kelompok B,
MSMH (07.30 dan 22.30), masing-masing kelompok memiliki 16 subjek
penelitian. Setelah 1 bulan intervensi didapatkan hasil rerata lingkar lengan atas
(LLA) kelompok MSMH (26.1±6.0 cm) (p = 0.001) dibandingkan kelompok
MSSH (25.5±4.0 cm). Pada hasil CFF, didapatkan kelompok MSMH (39.5±3.9
Hz) (p = 0.001) dibandingkan kelompok MSSH (38.4±4.2 Hz). Tidak didapatkan
perbaikan kadar prealbumin dan derajat SGA setelah 1 bulan intervensi pada dua
kelompok. Hal ini dipikirkan karena perbedaan karakteristik dasar dan jumlah
sampel yang relatif kecil.
Simpulan : Proses randomisasi tidak berhasil menyamakan karakteristik dasar
pada kedua kelompok. Terdapat peningkatan bermakna pada lingkar lengan atas,
berat badan dan CFF setelah 1 bulan pemberian kombinasi AARC dan LOLA
sebagai makanan selingan malam hari pada pasien sirosis hati.

ABSTRACT
Aim : To determine the effect of L-ornithine L-aspartate (LOLA) and branch
chain amino acids (BCAA) as a combination supplementation on nutritional status
and minimal hepatic encephalopathy improvement in liver cirrhosis patient.
Methods : Liver cirrhosis patient in walk-in clinic of Cipto Mangunkusumo
Hospital in June 2011 – June 2012 were evaluated by critical flicker frequency
(CFF) test. Encephalopathy is defined when CFF < 38 Hz. All subjects who
fulfilled the inclusion criteria received education for an adequate diet based on the
ESPEN Guidelines. They were divided into two groups based on randomization.
One group was given the combination supplement as day snacks, while the other
group as late evening snacks. The evaluation based on anamnesis, physical
finding, laboratory result and CFF test after 1 month of interventions. Statistical
analysis conducted for this single blind randomized clinical trial was independent
t-test.
Results : Thirty two patients who fit the inclusion criteria were divided into two
groups, group A : day snacks (7.30 am and 12.30 pm) and group B : late evening
snacks groups (07.30 am and 10.30 pm), each groups has 16 subjects. Statistical
analysis obtained the statistically significant (p = 0.001) of increasing of the mean
mid arm circumference in group B (26.1±6.0 cm) compared to group A (25.5±4.0
cm). Statistically significant (p = 0.001) were also revealed in mean CFF value in
group B (39.5±3.9 Hz) compared to group A (38.4±4.2 Hz). However, the mean
prealbumin level and SGA score after 1 month intervention in both groups was
not met statistically significant, caused by the small subjects.
Conclusion : The randomization process was not able to make a good comparison
in both groups. There is a significant increasing level of mid arm circumference,
body weight and CFF after 1 month combination of LOLA and BCAA as late
evening snacks for liver cirrhosis patient."
Fakultas Kedokteran Universitas Indonesia, 2012
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
cover
Eric Daniel Tenda
"Latar Belakang: Seiring berjalannya pandemi COVID-19, diperlukan tes diagnostik yang lebih baik, cepat, andal, mudah dan tersedia secara luas. Foto rontgen dada digunakan sebagai pemeriksaan awal untuk menegakkan diagnosis kerja. Kecanggihan Artificial Intelligence (AI) diketahui dapat meningkatkan presisi diagnosis Pneumonia pada foto rontgen dada. Salah satu program AI yang sedang marak digunakan adalah CAD4COVID-Xray. Tujuan: Penelitian ini bertujuan untuk mengetahui dan melihat perbedaan performa skoring AI dibanding skoring Brixia pada foto rontgen dada untuk mendiagnosis dan menentukan derajat keparahan pneumonia COVID-19. Metode: Penelitian ini menggunakan desain potong-lintang pada 300 pasien terduga dan terkonfirmasi pneumonia COVID-19. Rontgen dada dinilai secara kuantitatif menggunakan program CAD4COVID dan semi-kuantitatif menggunakan sistem skoring Brixia. Analisa performa diagnostik dinilai menggunakan estimasi AUC dan perbandingannya, serta perbandingan nilai sensitivitas, spesifisitas, nilai prediksi positif, nilai prediksi negatif dan akurasi. Hasil: AI probability score (AUC 0,542, IK95% 0,471-0,613), AI ALA score (AUC 0,442, IK95% 0,375-0,510) dan overall CXR score (AUC 0,461, IK95% 0,393-0,528) tidak memiliki kemampuan diskriminasi hasil RT-PCR SARS CoV-2 pada subjek terduga COVID-19. AI probability score (AUC = 0,888, IK95% 0,820- 0,956), AI ALA score (AUC = 0,875, IK95% 0,789-0,953) dan overall CXR score (AUC = 0,878, IK95% 0,808-0,948) memiliki kemampuan diskriminasi sangat baik untuk menentukan derajat keparahan penyakit subjek terkonfirmasi COVID-19. AI probability score (Sn 87,2%, Acc 85,6%) dan AI ALA score (Sn 82,6%, Acc 80,4%) lebih sensitif dan akurat dibandingkan overall CXR score (Sn 75,6%, Acc 78,4%) untuk mendiskriminasi derajat keparahan penyakit pneumonia COVID-19. Simpulan: AI probability score, AI ALA score dan overall CXR score tidak memiliki kemampuan membedakan hasil RT-PCR SARS CoV-2 pada subjek terduga COVID-19. AI probability score, AI ALA score dan overall CXR score memiliki kemampuan yang sangat baik untuk membedakan derajat keparahan penyakit subjek terkonfirmasi COVID-19. AI probability score dan AI ALA score lebih sensitif dan akurat dibandingkan overall CXR score untuk membedakan derajat keparahan penyakit pneumonia COVID-19.

Background: As the COVID-19 pandemic progresses, a better, faster, reliable, easy and widely available diagnostic tests are needed. Chest X-rays are currently used as an initial examination to confirm a working diagnosis. Advancement of Artificial Intelligence (AI) is known to increase diagnosis precision of pneumonia on chest X-rays. One of the AI programs that is widely being used during the COVID-19 pandemic is CAD4COVID-Xray. Objective: This study aims to determine and compare the performance of AI scoring system using colour heat-map compared to Brixia scoring system on chest X-rays to diagnose and determine the severity of COVID-19 pneumonia. Methods: This study is a cross-sectional study, involving 300 suspected and confirmed COVID-19 pneumonia patients. Chest X-rays were assessed quantitatively using the CAD4COVID program and semi-quantitatively using the Brixia scoring system. Performance analysis is assessed using AUC estimation and its comparison, as well as comparisons of sensitivity, specificity, positive predictive value, negative predictive value and accuracy. Results: AI probability score (AUC 0.542, 95% IK 0.471-0.613), AI ALA score (AUC 0.442, 95% IK 0.375-0.510) and overall CXR score (AUC 0.461, 95% CI 0.393-0.528) did not have the ability to discriminate RT-PCR results of subjects with suspicion of COVID-19. AI probability score (AUC = 0.888, 95% CI 0.820- 0.956), AI ALA score (AUC = 0.875, 95% IK 0.789-0.953) and overall CXR score (AUC = 0.878, 95% CI 0.808-0.948) had excellent strength of agreement to determine disease severity in subjects with confirmed COVID-19. AI probability score (Sn 87.2%, Acc 85.6%) and AI ALA score (Sn 82.6%, Acc 80.4%) are more sensitive and accurate than overall CXR score (Sn 75.6%, Acc 78 ,4%) to determine the severity of COVID-19 pneumonia. Conclusions: AI probability score, AI ALA score and overall CXR score did not have the ability to discriminate RT-PCR results of subjects with suspicion of COVID-19. AI probability score, AI ALA score and overall CXR score had excellent strength of agreement to determine disease severity in subjects with confirmed COVID-19. AI probability score and AI ALA score are more sensitive and accurate than overall CXR score to determine the severity of COVID-19 pneumonia."
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2023
T-pdf
UI - Tesis Membership  Universitas Indonesia Library