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Analisis Hubungan Kepatuhan Suplementasi Tablet Besi Dengan Karakteristik Ibu Melahirkan Bayi Berat Badan Lahir Rendah di RSUD Wonosari Yogyakarta Tetie Herlina; Wiwi Kustio Prillia; Danang Prasetyaning Amukti; Ifa Aris Suminingtyas; Nurul Kusumawardani
Lumbung Farmasi: Jurnal Ilmu Kefarmasian Vol 7, No 1 (2026): Januari
Publisher : UNIVERSITAS MUHAMMADIYAH MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/lf.v7i1.34945

Abstract

Low birth weight (LBW) is a leading cause of neonatal mortality, especially in developing countries. Previous studies have not comprehensively assessed the role of maternal adherence to iron tablet consumption, gestational age, maternal age, and anemia status. This study aims to analyze the relationship between adherence to iron tablet consumption and the characteristics of mothers who gave birth LBW at Wonosari Regional Hospital, Yogyakarta. This is a retrospective analytical study with a cross-sectional design on 47 pregnant women who gave birth  LBW between October 2024 and March 2025. Data collection involved the use of an adherence questionnaire to assess adherence to iron supplementation, as well as secondary data obtained from patient medical records. Statistical analysis was performed using the chi-square test to determine the relationship between variables. The results showed no statistically significant association between adherence to iron supplementation (p=0.74), maternal age (p=0.34), or anemia status (p=0.36) with LBW. However, there was a strong and statistically significant association between gestational age and LBW (p < 0.001), which showed that preterm birth is a major risk factor for LBW. In conclusion, gestational age was significantly associated with LBW, while adherence to iron supplementation, maternal age, and anemia status were not. Preventing preterm birth should be a primary focus in strategies aimed at reducing the incidence of LBW.
KRT23 SEBAGAI BIOMARKER PROGNOSTIK PADA ADENOKARSINOMA REKTAL: ANALISIS BIOINFORMATIKA BERBASIS UALCAN: KRT23 sebagai Biomarker Prognostik pada Adenokarsinoma Rektal: Analisis Bioinformatika Berbasis UALCAN Danang Prasetyaning Amukti; Mitha Dwi Puspitasari; Ari Widhiarso; Bayu Bakti Angga Santoso; Ria Indah Pratami
Jurnal Ilmiah JOPHUS : Journal Of Pharmacy UMUS Vol. 7 No. 2 (2026): Februari
Publisher : Program Studi Farmasi, Universitas Muhadi Setiabudi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46772/jophus.v7i2.1836

Abstract

 Introduction: Colorectal cancer, including READ, is one of the leading causes of cancer death worldwide. Recent studies have shown the involvement of the KRT23 gene, a member of the type I keratin family, in various malignant processes, including tumor cell proliferation, migration, and invasion. Although KRT23 expression has been studied in several types of cancer, its role in rectal cancer remains poorly understood. This study aimed to evaluate the relationship between KRT23 expression and patients' clinical characteristics and their survival. Methods: KRT23 expression data in rectal cancer patients were obtained from the UALCAN platform, which included subgroups based on race, sex, and weight status. Analysis was performed to evaluate the relationship between KRT23 expression levels and patients' clinical characteristics and their effects on survival using Kaplan-Meier curves and log-rank statistical analysis. Results: KRT23 expression was significantly increased in rectal cancer tissues compared to normal tissues. Survival analysis showed that race significantly affected the relationship between KRT23 expression and patient prognosis (p < 0.0001), especially in the Caucasian and African-American racial groups. In contrast, there was no significant difference based on gender (p = 0.97) and weight status (p = 0.64). Conclusion: High KRT23 expression is associated with better prognosis in certain racial subgroups, making it a potential candidate prognostic biomarker for rectal cancer. However, further studies with larger sample sizes are needed to strengthen these findings and understand the underlying biological mechanisms.