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All Journal Journal of Agromedicine and Medical Sciences Termometer: Jurnal Ilmiah Ilmu Kesehatan Dan Kedokteran
Yonas Hadisubroto
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Dentistry Health Professions Public Health

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Difference in The Incidence Severe Preeclampsia and Eclampsia between Maternal Age 20-34 Years and >34 Years in dr. Soebandi Hospital Jember Muhammad Fakhri Ali; Yonas Hadisubroto; Jauhar Firdaus
Journal of Agromedicine and Medical Sciences Vol 3 No 2 (2017)
Publisher : Faculty of Medicine, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ams.v3i2.5065

Abstract

Maternal Mortality Rate (MMR) in Indonesia is still high. The maternal mortality rate continues to rise due to hypertension, one of which is caused by pre-eclampsia and eclampsia. Many factors cause preeclampsia, including advanced maternal age. The purpose of this study was to determine the effect of advanced maternal age during pregnancy with severe preeclampsia and eclampsia in RSD dr. Soebandi Jember. This study used cross sectional approach using 264 samples were divided into two groups, there are pregnant women aged 20-34 years and >34 years. The results of data analysis using Chi Square for severe preeclampsia and obtained p = 0.015 and OR = 2.494, which means there is a significant difference in comparison severe preeclampsia between gestational age of 20-34 years and >34 years. At the age of 20-34 years from 216 samples found 28 people suffering from severe preeclampsia (12.9%). Whereas at the age of mother> 34 years of 48 people found 13 people (27.1%) suffered severe preeclampsia Results of data analysis obtained eclampsia using Fisher and p = 0.554, which means there are no significant differences in comparison eclampsia between gestational age of 20-34 years and >34 years. At the age of 20-34 years from 216 samples found 3 people suffering from eclampsia (1.38%). While at mother age> 34 years from 48 people found 1 person (2.08%) suffered eclampsia.
The Difference of Asphyxia Neonatorum Incident between Very Preterm Labor That Is Followed or Not by Premature Rupture of Membranes at RSD dr. Soebandi of Jember Nely Masruroh; Yonas Hadisubroto; Rena Normasari
Journal of Agromedicine and Medical Sciences Vol 4 No 3 (2018)
Publisher : Faculty of Medicine, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ams.v4i3.6394

Abstract

Asphyxia neonatorum is an infant's inability to breathe spontaneously and regularly soon after birth. Risk factors of neonatal asphyxia are preterm labor and premature rupture of membranes. In the poor and developing countries there are many occurrences of asphyxia at gestation less than 32 weeks (very preterm). The aim of this study is to describe the incidence of asphyxia neonatorum in very preterm labor followed by premature rupture of membranes, describes the incidence of asphyxia neonatorum in very preterm labor that is not followed by premature rupture of membranes, and the difference of asphyxia neonatorum incident between very preterm labor that is followed or not by premature rupture of membranes. The type of this research was retrospective analytical observational with cross sectional approach and total sampling technique. The population was a single preterm delivery mother with spontaneous presentation of heads born in RSD dr. Soebandi from January 2015 - January 2017. From 465 mothers, 65 mothers meet the inclusion criteria. Data is processed and presented in the form of frequency distribution table then analyzed using Chi-Square test. The results showed that mothers with very preterm followed by premature rupture of membranes did not have asphyxia (22 mothers or 33.8%) and mothers with very preterm that is not followed by premature rupture of membranes did not have asphyxia (18 mothers or 27.2%). Based on Chi-Square statistical test results obtained p-value (0.298)> α (0.05) and it can be concluded that is statistically at 95% confidence level there is no significant difference in the incident of asphyxia neonatorum between very preterm labor that is followed or not by premature rupture of membranes in RSD dr. Soebandi Kabupaten Jember.Keywords: Asphyxia neonatorum, preterm labor, premature rupture of membranes
Pendekatan Biomarker untuk Deteksi Dini Preeklamsia: Tinjauan Literatur Terbaru Risqiyani, Siti Zulaikha; Samsu Hidayat; Yonas Hadisubroto
Termometer: Jurnal Ilmiah Ilmu Kesehatan dan Kedokteran Vol. 4 No. 1 (2026): Januari : Termometer: Jurnal Ilmiah Ilmu Kesehatan dan Kedokteran
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/termometer.v4i1.5715

Abstract

Preeclampsia (PE) remains one of the leading causes of maternal and perinatal morbidity and mortality worldwide, making early detection a critical priority in modern obstetric practice. Although the pathophysiological mechanisms of PE, such as placental dysfunction, angiogenic imbalance, systemic inflammation, and immune dysregulation are increasingly understood, clinical diagnosis still relies on elevated blood pressure and proteinuria, which typically appear in the later stages of the disease. This diagnostic delay underscores the urgent need for biomarkers capable of identifying pathological changes long before clinical symptoms develop. This literature review aims to analyze the most recent scientific evidence (2020–2025) regarding potential biomarkers for the early detection of PE and to evaluate their strengths, limitations, and potential applications in clinical practice. Literature searches were conducted using PubMed, Google Scholar, and open-access journal repositories. The findings indicate that the sFlt-1/PlGF ratio is the most established biomarker, demonstrating high sensitivity and specificity. Omics approaches, including metabolomics and proteomics, present significant potential for first-trimester screening, although broader population validation is required. Inflammatory, genetic, epigenetic, and cardiovascular biomarkers further enrich the understanding of the biological complexity underlying PE. The integration of multiple biomarkers using machine learning algorithms has shown improved predictive accuracy; however, challenges remain regarding model generalizability and the need for large, diverse datasets. Overall, current evidence suggests that multiparameter biomarker combinations represent the most promising strategy to enhance early detection of PE at the population level.
Co-Authors Jauhar Firdaus Muhammad Fakhri Ali Nely Masruroh Rena Normasari Risqiyani, Siti Zulaikha Samsu Hidayat