Article Per Year (5 Year)
p-Index From 2020 - 2025
0.947
P-Index
This Author published in this journals
All Journal CogITo Smart Journal Jurnal Biomedika dan Kesehatan Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML) Sewagati Journal of Medicine and Health Technology
Indriastuti, Endah
Institut Teknologi Sepuluh Nopember
Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
CHRONIC MYELOGENEOUS LEUKEMIA TRANSFORMATION INTO ACUTE LYMPHOBLASTIC LEUKEMIA Endah Indriastuti; Arifoel Hajat
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 25, No 2 (2019)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v25i2.1395

Abstract

Introduction : Chronic myelogeneous leukemia (CML) is a myeloproliferative neoplasm that can progress into various conditions. Transformation of CML into acute lymphoblastic leukemia (ALL) is a rare case. Case :  A 22-year-old male with history of CML since 2014 and positive BCR-ABL p210 in 2017 came with complaint of weakness. Physical examination showed hepatosplenomegaly. CBC results Hb  7.1 g/dL, WBC 290,620/μL, platelet 434,000/μL. Blood smear evaluation (BSE) suggested CML blastic crisis dd AML-M5. Patient’s condition got worse. CBC result showed  WBC 96,770/μL and  platelet 7,000/μL in 2 weeks later. BSE was dominated by mononuclear cells with scanty blue cytoplasm, no granules, no auer rods, loose chromatine and indistinct nucleoli, suggesting lymphoblasts with a proportion of 60%. Bone marrow aspiration (BMA) and immunophenotyping was done to confirm BSE. The BMA result was dominated by lymphoblast, consistent with ALL. The immunophenotyping result was CD10+, CD34+(0,99%), CD79a+, HLA-DR+, and CD20+.  Molecular examination showed positive RUNX1 and NRAS while negative FLT3, NPM1 and del(5q). Discussion : BCR-ABL gene can be found both in CML and ALL. CML transformation into ALL had been reported to be related with deletion of a transcription gene. Diagnosis of ALL can be established by BMA and immunophenotyping. CD34+ expression of lymphoblast in ALL can be varied, but in this case was minimal. Conclusion : Patient with history of CML showed an ALL picture based on BSE, BMA and immunophenotyping suggesting CML transformation into ALL although CD34+ expression was minimal.
Immature Platelet Fraction as A Potential Marker To Differentiate Types of Acute Coronary Syndrome Endah Indriastuti; Yetti Hernaningsih; Yulia Nadar Indrasari; Andrianto Andrianto
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 27, No 1 (2020)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v27i1.1609

Abstract

Acute Coronary Syndrome (ACS) includes ST-Elevation Myocardial Infarction (STEMI), non-ST Elevation MyocardialInfarction (NSTEMI), and Unstable Angina (UA). Platelet plays an essential role in ACS pathogenesis. Immature PlateletFraction (IPF) and platelet indices can predict platelet activations. Platelet indices consist of platelet count, Mean PlateletVolume (MPV), Platelet Distribution Width (PDW), plateletcrit (Pct). This study aimed to analyze the differences of IPF andplatelet indices among ACS patients. This study was an observational analytical cross-sectional study conducted inDr. Soetomo Hospital during May-September 2019. The subjects consisted of 30-STEMI, 25-NSTEMI, and 24-UA patients.The EDTA-samples were measured for platelet indices and IPF using Sysmex XN-1000. The differences between IPF andplatelet indices among STEMI, NSTEMI, and UA patients were analyzed using Kruskal-Wallis and Mann-Whitney test. The IPFvalues were significantly higher in STEMI patients than NSTEMI and UA patients. The IPF values of NSTEMI patients werehigher than UA patients. The MPV, PDW, and P-LCR were significantly higher in STEMI and NSTEMI compared to UA. TheMPV, PDW, and P-LCR values of NSTEMI patients were significantly higher than UA patients. The significant differencesbetween STEMI and NSTEMI toward UA might be caused by the more severe thrombotic conditions in myocardial infarctionpatients than UA. The IPF values were significantly different among each type of ACS patients gave an opportunity using thisparameter to differentiate the ACS types. The MPV, PDW, and P-LCR were significantly higher in myocardial infarctionpatients than UA patients, which also allowed them to use those parameters to differentiate both conditions.
CD4-T Lymphocyte in Cervical Cancer Patients on Pre-and Post-Chemotherapy Endah Indriastuti; Endang Retnowati; Wita Saraswati
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 26 No. 1 (2019)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v26i1.1367

Abstract

Cervical cancer is a gynecology cancer with the highest incidence in the Dr.Soetomo Hospital, Surabaya. Neoadjuvant chemotherapy with cisplatin has been used to increase radiosensitivy of cancer cells before radiotherapy done in advanced stage cervical cancer patients. This research aimed to know the differences of CD4-T lymphocyte profile in stage IIIB patient before and after chemotheraphy administration. This research was done in February-September 2018. Seventeen patients out of 31 stage IIIB cervical cancer patients planned to receive neoadjuvan chemotherapy with cisplatin every 3 weeks for 3 series were checked for the CD4+ T lymphocyte count and percentage. The examinations were done before the first and after the third chemotherapy administration. Mean±SD of the CD4-T lymphocyte count before chemotherapy was 817±314 cells/μL and mean±SD of the CD4-T lymphocyte  percentage was 38.96±8.47%. While mean±SD of the CD4-T lymphocyte count after chemotherapy was 881±335 cells/μL and mean±SD of the CD4-T lymphocyte percentage was 39.01±8.50%. There was no significant  difference of CD4-T lymphocyte count between before and after chemotherapy (p=0.471). There was also no significant difference of CD4-T lymphocyte percentage between before and after chemotherapy (p=0.866). Both the CD4-T lymphocyte count and percentage tended to increase in postchemotherapy condition. The CD4-T lymphocyte count and percentage were not significantly different between before and after chemotherapy administration in stage IIIB cervical cancer patients. Both the CD4-T lymphocyte count and percentage tended to increase in postchemotherapy condition.
Pemanfaatan Algoritma Machine Learning dan Long-Short Term Memory untuk Prediksi Dini Diabetes Yuri Pamungkas; Meiliana Dwi Cahya; Endah Indriastuti
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.630.491-506

Abstract

Diabetes, a chronic condition, affects numerous populations. Poor insulin production from the pancreas combined with high blood sugar levels can result in the onset of diabetes. Diabetes can be caused by numerous factors. Observe and prevent these factors to reduce the high prevalence of diabetes. This study concentrates on medical record data for determining diabetes risk factors via statistical correlation analysis. These factors will be utilized as machine learning and LSTM input parameters for diabetes prediction. The factors analyzed include blood glucose levels, HbA1c levels, age, BMI, hypertension, heart disease, smoking habits, and gender. Based on the research results, we found that glucose levels (>137 mg/dL) and HbA1c levels (>6.5%) are the main benchmarks in diagnosing diabetes. It is also supported by the correlation value, which is relatively high (0.42 and 0.40, respectively) compared to other factors. Increasing age and BMI also increase the risk of developing diabetes. Comorbidities (such as hypertension or heart disease) and smoking habits can worsen the condition of people with diabetes. Meanwhile (based on gender), women are more at risk of developing diabetes than men because their body mass index increases during the monthly cycle. Apart from that, there is a tendency for blood sugar levels in women to increase in the last two weeks before menstruation. Based on the prediction results, the highest levels of accuracy, sensitivity, and F1 score were obtained (96.97%, 99.97%, and 98.37%) using the LSTM method. This performance shows that LSTM is relatively good for the diabetes prediction process based on existing factors/parameters.
Pelatihan Basic Life Support (BLS) pada Siswa SMA Negeri 1 Probolinggo Alief Siswanto, Putri; Indriani, Ratri Dwi; Syulthoni, Zain Budi; Indriastuti, Endah
Sewagati Vol 8 No 2 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i2.999

Abstract

Kejadian Henti Jantung Mendadak (HJM) semakin sering terjadi seiring dengan peningkatan prevalensi Penyakit Jantung Koroner (PJK) di Indonesia. Tersedianya penolong (bystander) dapat menaikkan angka keselamatan korban terutama pada kasus yang terjadi di luar rumah sakit. Terbatasnya sumber daya dalam memberikan pelatihan mengakibatkan masih sedikitnya jumlah penolong terlatih di masyarakat. Strategi yang dapat dilakukan yaitu dengan melibatkan siswa sekolah sehingga diharapkan mereka dapat melatih orang tua atau saudara di rumah serta teman sebaya sehingga di waktu yang bersamaan semakin banyak orang teredukasi. Tim Teknologi Kedokteran berkolaborasi dengan Tim Kedokteran ITS menyelenggarakan kegiatan PkM berupa Pelatihan Basic Life Support (BLS) yang diikuti oleh 30 siswa dan guru SMA Negeri 1 Probolinggo pada 6 Oktober 2023. Kegiatan diawali dengan pemberian materi lalu dilanjutkan dengan praktik BLS pada manekin. Peningkatan pengetahuan dan keterampilan secara signifikan didapatkan setelah pelatihan BLS. Semakin banyaknya jumlah penolong terlatih diharapkan dapat meningkatkan keluaran HJM.
Biomarker pada Kanker Payudara Indriastuti, Endah; Nur Fitriani, Fatimah; Djunaidi, Anwar
Jurnal Biomedika dan Kesehatan Vol 8 No 2 (2025)
Publisher : Fakultas Kedokteran Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18051/JBiomedKes.2025.v8.218-231

Abstract

Breast cancer is the leading cause of cancer-related death among women worldwide. A biomarker is a molecule in the body that signals an abnormal process or condition, such as cancer. Numerous studies have focused on biomarkers in breast cancer. Widely used biomarkers in clinical settings include estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2), Ki67, carcinoembryonic antigen (CEA), and cancer antigen (Ca) 15-3. Currently, circulating tumor cells (CTCs) and genome sequencing are being researched and are expected to play significant roles in managing breast cancer patients. These biomarkers can be detected in various sample types, enabling detection tailored to different purposes. They are vital for diagnosis, classification, and selecting effective treatment strategies, including personalized and targeted therapies, as well as predicting treatment response and monitoring for disease recurrence. Understanding of breast cancer biomarkers has improved considerably over time. This knowledge should be applied effectively to enhance diagnosis accuracy and personalize treatment. This narrative review aims to summarize previously used breast cancer biomarkers and provide updates on those currently being developed to improve patient care and outcomes.
Successful Management of High-Risk Pregnancy with TORCH Infection History and Chronic Hypertension Karimah, Rumman; Fadli, Sonny; Eljatin, Dwinka Syafira; Indriastuti, Endah; Sari, Desiana Widityaning; Ridhoi, Ahmad
Journal of Medicine and Health Technology Vol. 1 No. 2 (2024)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30466865.v1i2.1129

Abstract

A 41-year-old pregnant woman of Javanese ethnicity attended the outpatient clinic of a private hospital, presented with fifth pregnancy and no living children due to a history of ectopic pregnancy, two times IUFD, and one time neonatal death. The patient also had a history of chronic hypertension and asthma. The examination showed positive IgG Toxoplasma and CMV antibody levels. The patient's blood pressure also never touched the normal limit since the beginning of pregnancy. At the end of pregnancy, she had very high blood pressure and proteinuria. According to WHO Maternal Mortality Rate (MMR) is still very high, where two of the five highest causes are infection and hypertension in pregnancy. High risk pregnancies require special attention in monitoring during pregnancy and management. In a history of bad obstetrical history it is necessary to screen for infection which can be done by antibody serology testing. A positive IgG indicates immunity to the virus, if possible it is necessary to check IgG Avidity to determine whether therapy is still needed or can rely on the immune system that has been formed. Chronic hypertension (Systolic Blood Pressure (SBP) > 140 mmHg and / or Diastolic Blood Pressure (DBP) > 90 mmHg since < 20 Weeks Gestational Age (WGA) until 42 days after delivery). First-line Labetalol and Nifedipine or second-line Methyldopa and Hydrochlorothiazide should be considered depending on the condition and gestational age. If there are signs of preeclampsia, termination should be done if possible, along with antihypertensives and anticonvulsants such as MgSO4.
Co-Authors Andrianto Arifoel Hajat Djunaidi, Anwar Dwinka Syafira Eljatin Endang Retnowati Fadli, Sonny Indriani, Ratri Dwi Karimah, Rumman Meiliana Dwi Cahya Nur Fitriani, Fatimah Putri Alief Siswanto Ridhoi, Ahmad Sari, Desiana Widityaning Syulthoni, Zain Budi WITA SARASWATI, WITA Yetti Hernaningsih Yulia Nadar Indrasari Yuri Pamungkas