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Perbandingan Nilai Hematokrit Sebelum dan Sesudah Terapi Tirosin Kinase Inhibitor pada Pasien Chronic Myeloid Leukemia Muhammad Ihza Lisan Shidqi; Yanti Sunaidi; Eleventi Oktarina Putri; Antoni Aldo Danendra Sawal
Jurnal Analis Kesehatan Kendari Vol. 8 No. 1 (2025): Jurnal Analis Kesehatan Kendari (JAKK) : Vol. 8 (1) Desember 2025)
Publisher : Program Study of Medical Laboratory Technology , Politeknik Bina Husada Kendari

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Abstract

Chronic Myeloid Leukemia (CML) is a hematologic malignancy characterized by the presence of the Philadelphia chromosome and the BCR-ABL1 fusion gene. Tyrosine kinase inhibitors (TKIs) have revolutionized CML management, improving patient survival and quality of life. However, evidence regarding the effect of TKI therapy on simple hematologic parameters, particularly hematocrit values, remains limited. This study aimed to analyze the differences in hematocrit levels before and after TKI therapy in patients with CML. A quantitative comparative design was conducted involving 53 CML patients (32 males, 21 females) aged 19–66 years. Hematocrit values were collected from medical records at two points: prior to therapy and after twelve months of TKI treatment. Data distribution was assessed using the Shapiro-Wilk test, and comparisons were performed using a paired sample t-test with a significance level of p < 0.05. The mean hematocrit value before therapy was 29.7%, increasing to 36.7% after therapy, with an average rise of 7.0%. Of the total patients, 42 (79.2%) showed an increase in hematocrit, while 11 (20.8%) demonstrated a decrease. Statistical analysis confirmed a significant difference between pre- and post-therapy values (p < 0.001). TKI therapy significantly improves hematocrit levels in CML patients, reflecting restored hematopoiesis and improved hematologic status. Hematocrit may serve as a practical and cost-effective parameter for monitoring therapy effectiveness, especially in healthcare settings with limited access to molecular testing.
Gambaran Indeks Aterogenik Plasma Pada Penderita Diabetes Melitus Sunaidi, Yanti; Sulfiani; Sefhia Purnama Dita; Muhammad Ihza Lisan Shidqi; Eleventi Oktarina Putri; Antoni Aldo Danendra Sawal
Jurnal Analis Kesehatan Kendari Vol. 8 No. 1 (2025): Jurnal Analis Kesehatan Kendari (JAKK) : Vol. 8 (1) Desember 2025)
Publisher : Program Study of Medical Laboratory Technology , Politeknik Bina Husada Kendari

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Abstract

Diabetes mellitus is a group of metabolic disorders characterized by elevated blood glucose levels due to abnormalities in insulin secretion or insulin resistance. This condition increases the risk of cardiovascular disease by triggering dyslipidemia, which is marked by elevated cholesterol, increased levels of low-density lipoprotein (LDL), increased triglycerides, and decreased high-density lipoprotein (HDL) in the blood. Dyslipidemia in diabetic patients is associated with a higher Atherogenic Index of Plasma (AIP), which plays a role in the development of atherosclerosis, a key factor in cardiovascular disease. The logarithmic ratio of triglycerides to HDL can be used to determine the AIP, which serves as a marker for assessing atherogenicity and the risk of cardiovascular disease. This study aimed to predict cardiovascular disease in patients with diabetes mellitus through the evaluation of AIP values. The research was descriptive, involving 32 subjects selected using purposive sampling, and conducted at Dr. Tadjuddin Chalid General Hospital, Makassar, South Sulawesi. Based on the results of 32 subjects: 0 subjects (0%) were categorized as having low cardiovascular risk AIP, with an average value of 0; 1 subject (3%) was in the moderate risk category, with an average AIP of 0.19; 31 subjects (97%) were in the high cardiovascular risk category, with an average AIP of 0.82. These findings indicate that most diabetic patients tend to have a high-risk cardiovascular disease, compared to moderate or low-risk categories.
Perbedaan Kadar Tumor Necrosis Factor Alpha pada Pekerja Finishing Gitar Berdasarkan Penggunaan Alat Pelindung Diri Dan Lama Bekerja Antoni Aldo Danendra Sawal; Eleventi Oktariani Putri; Muhammad Ihza Lisan Shidqi; Yanti Sunaidi
Jurnal Analis Kesehatan Kendari Vol. 8 No. 1 (2025): Jurnal Analis Kesehatan Kendari (JAKK) : Vol. 8 (1) Desember 2025)
Publisher : Program Study of Medical Laboratory Technology , Politeknik Bina Husada Kendari

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Abstract

Debu kayu dan zat kimia dari pengecatan gitar selama proses finishing yang masuk ke saluran pernapasan dapat mengaktifkan sistem imun seluler dan saat terjadinya inflamasi menyebabkan pelepasan sitokin pro-inflamasi yaitu Tumor Necrosis Factor Alpha (TNF-α). TNF-α merupakan sitokin pro-inflamasi yang memiliki efek agregasi dan stimulasi neutrofil. TNF-α disekresikan oleh makrofag, yang berperan dalam metabolisme, termasuk diferensiasi, apoptosis, proliferasi sel, koagulasi, dan metabolisme lipid. Penelitian ini merupakan penelitian observasional, dengan rancangan penelitian potong lintang di desa gitar Sukoharjo. Sampel penelitian sebanyak 30 subjek, diambil menggunakan teknik non-probability sampling dengan metode purposive sampling. Pemeriksaan TNF-α dilakukan dengan metode Enzyme-Linked Immunosorbent Assay (ELISA). Hasil penelitian menunjukkan bahwa nilai rata-rata TNF-α pada pekerja finishing gitar yang memakai APD dengan masa kerja 1-3 tahun adalah 66,66 pg/ml, sedangkan pada pekerja yang memakai APD dengan masa kerja >3 tahun adalah 70,71 pg/ml. Nilai rata-rata pada pekerja yang tidak memakai APD dengan masa kerja 1-3 tahun adalah 71,64 pg/ml, sedangkan pada pekerja yang tidak memakai APD selama >3 tahun adalah 86,10 pg/ml. Kesimpulan dari penelitian ini adalah terdapat perbedaan kadar TNF-α berdasarkan penggunaan APD yang bekerja selama 1-3 tahun maupun >3 tahun.
Analisis Retrospektif Hasil Pemeriksaan Tiroid (TSH dan FT4) dengan Metode ELFA di RSUD Dr. Doris Sylvanus Palangka Raya Eleventi Oktarina Putri; Antoni Aldo Danendra Sawal; Muhammad Ihza Lisan Shidqi; Yanti Sunaidi
Jurnal Analis Kesehatan Kendari Vol. 8 No. 1 (2025): Jurnal Analis Kesehatan Kendari (JAKK) : Vol. 8 (1) Desember 2025)
Publisher : Program Study of Medical Laboratory Technology , Politeknik Bina Husada Kendari

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Abstract

Thyroid disorders are among the most prevalent endocrine conditions globally, demanding precise diagnostic methodologies for effective management. Epidemiological data on thyroid disorders in Kalimantan is still limited. This study aims to re-analyze retrospective data on .thyroid stimulating hormone (TSH) and free thyroxine (FT4) levels measured using the Enzyme Linked Fluorescent Assay (ELFA) method in 2017 at RSUD Dr. Doris Sylvanus Palangka Raya, evaluate them with the latest guidelines, and validate the ELFA method. Data from 87 patients with suspected thyroid dysfunction were subjected to descriptive statistics, Chi-square tests, Spearman's correlation, and Receiver Operating Characteristic (ROC) curve analysis. Patients were predominantly female (n=67, 77%). Hormone distribution showed a tendency towards hyperthyroidism, with 48.3% (n=42) of patients having low TSH and 27.6% (n=24) having high FT4. Statistical analysis showed no significant association between gender and TSH (χ² = 1.277, df = 2, p = 0.528) or FT4 (χ² = 3.240, df = 2, p = 0.198) levels. However, a very strong and significant physiological relationship was found between TSH and FT4 levels, both categorically (χ² = 24.576, df = 4, p < 0.001) and correlationally (r = -0.503, p < 0.001). ROC analysis proved that the ELFA method has very good diagnostic accuracy with an Area Under Curve (AUC) of 0.915 (95% CI: 0.835–0.995, p < 0.001). The profile of thyroid disorders in this region is dominated by a hyperthyroidism pattern, and historical data from the ELFA method has been proven to remain valid and clinically relevant for epidemiological studies. These findings affirm that data generated by ELFA technology in 2017 remains robust and clinically valid when interpreted through the lens of modern guidelines. The study underscores the value of simultaneous TSH-FT4 testing and supports the sustained utility of older, yet reliable, immunoassay technologies, particularly in resource-limited settings, contributing to longitudinal epidemiological understanding of thyroid disorders in the region.