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All Journal Nexus Kedokteran Klinik Nexus Biomedika Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML)
Dian Ariningrum
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Biochemistry, Genetics & Molecular Biology Health Professions Medicine & Pharmacology Neuroscience

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Effects of Delayed Urinalysis on Urine Leukocytes Counts Sheila Savitri; Dian Ariningrum; Bhisma Murti
Nexus Biomedika Vol 5, No 2 (2016): Nexus Biomedika
Publisher : Nexus Biomedika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.864 KB)

Abstract

Introduction: Urinalysis is an effective and comprehensive urine examination method. Delayed urine examination may affect the urinalysis results, which in turn may have consequences on a patients diagnosis and treatment. This study focuses on the effects of delayed urinalysis on the urine leukocyte counts in patients with urinary tract infection. Methods: This study used a cross sectional design. The research took place at the Clinical Pathology Laboratory of RSUD Dr. Moewardi Hospital in Surakarta, in November 2015. The consecutive sampling method was used to collect 30 urine samples as for analysis. The dependent variable of this study was the urine leukocyte count at 0, 120 and 180 minutes, while the independent variable was the gap time of urinalysis. Urine sample collected from the respondents was divided into three different containers with the same amount of urine and the container was marked (0, 120, 180). The urinalysis was performed according to the order of the mark on each container. This study used Sysmex UX 2000 to count the amount of urine leukocyte. The data, then, were analyzed by the Friedman test. Result: The result showed that there was no significant difference in urine leukocytes counts in delayed urinalysis, shown by the statistical calculations using the Friedman test which obtained a p value of 0.122. Urine samples were collected from 17 female respondents (57%) and 13 male respondents (43%). The age of the respondents ranged from 1 to 78 years old. The average pH of the urine samples was 6.2 with an average specific gravity of 1.012. Conclusions: There is no significant difference in urine leukocyte counts in delayed urinalysis up to 180 minute. Keywords: Delayed Urinalysis, Urine Leukocytes, Sysmex UX 2000
The Correlation between Glycemic Control (HbA1c) and Nephropathy Diabetic among Type 2 Diabetes Mellitus Patients in Dr. Moewardi General Hospital Surakarta Emma Ayu Lirani; Dian Ariningrum; Yulia Sari
Nexus Kedokteran Klinik Vol 5, No 1 (2016): Nexus Kedokteran Klinik
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Background: Nephropathy diabetic is the one of the most serious long-term complications of diabetes mellitus which could lead to end stage renal disease. One of the factors that influences nephropathy diabetic is glycemic control that can be monitored trough HbA1c level. The uncontrolled HbA1c level can causes an increasing of end glycation product which could lead to glomerular injury in type 2 diabetic patients. This study aimed to determine whether there is correlation between glycemic control (HbA1c) and nephropathy diabetic among type 2 diabetic patients in Dr.Moewardi General Hospital Surakarta. Methods: This study is an observational analytic with case control approach. Subjects in this study are type 2 diabetes mellitus patients with nephropathy diabetic and without nephropathy diabetic in Dr. Moewardi General Hospital Surakarta. Data of HbA1c level of subjects in this study were collected from medical records. Sampling was done by purposive sampling with 40 patients as the case and 40 patients as the control. The data were analyzed using chi square test and logistic regression. Result: There is no significant correlation between control glycemic (HbA1c) with nephropathy diabetic with p-value = 0.528 (OR =1.378; CI 95% 0.509-3.727). Multivariate analysis shows that hypertension is the most influenced risk factor (OR = 4.255; CI 95% 1.538-11.437; p = 0.004) followed by duration of diabetes (OR = 3.432; CI 95% 1.254-9.397; p = 0.016, meanwhile dyslipidemia has no significant correlation with nephropathy diabetic (OR = 0.925; CI 95% 0.259-3.303; p = 0.904). Conclution: There is no significant correlation between control glycemic (HbA1c) with nephropathy diabetic in diabetes mellitus type 2 in General Hospital Moewardi Surakarta. Keywords: Glycemic Control (HbA1c), Nephropathy Diabetic, Diabetes Mellitus Type 2
Serum Soluble Endoglin (sEng) as A Predictor of Preeclampsia Severity Mustiqa Febriniata; Dian Ariningrum; Sienny Linawaty
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 32 No. 1 (2025)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v32i1.2403

Abstract

 Preeclampsia is new-onset hypertension in pregnancy after 20 weeks of gestation. It is characterized by proteinuria or organ damage. Laboratory tests with high sensitivity and specificity in predicting severe preeclampsia are currently lacking due to the pathogenesis of preeclampsia which is still unclear. SEng (Soluble Endoglin), a glycoprotein expressed by syncytiotrophoblasts, is released into the maternal circulation in preeclampsia, acting as an anti-angiogenic through its binding to TGF-beta which then inhibits the vasodilation pathway. This angiogenic imbalance subsequently results in endothelial dysfunction and multiorgan damage. We investigated serum sEng as a predictor of severe preeclampsia by analyzing the risk factors of preeclampsia. An observational analytic study using a cross sectional design was conducted on pregnant women diagnosed with preeclampsia based on POGI (Perkumpulan Obstetri dan Ginekologi Indonesia) treated in Dr. Moewardi Hospital from June to July 2024. Serum samples of sEng were collected and examined using the sandwich ELISA method and then cut-off was determined. The multivariate multiple logistic regression with the backward stepwise method analysis obtained that sEng level with a cut-off point of 23.38 ng/mL could be used as an independent biomarker to predict severe preeclampsia, while other risk factors of preeclampsia including maternal age, obesity, parity, history of preeclampsia, and gestational age could not predict the severity of preeclampsia (p <0.05). Further study is needed with a larger sample size involving multiple centers to generalize the outcomes and top analyze other preeclampsia risk factors.
Co-Authors Bhisma Murti Emma Ayu Lirani Mustiqa Febriniata Sheila Savitri Sienny Linawaty Yulia Sari