Nindia Sugih Arto
Universitas Sumatera Utara & Adam Malik Hospital

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Evaluation of aPTT and PT Results: A Comparison Between Point-of-Care Testing and Optical Fully Automatic Methods Herna Wahyuni; Dewi Indah Sari Siregar; Ranti Permatasari; Nindia Sugih Arto; Malayana Rahmita Nasution; Jelita Siregar
Indonesian Journal of Global Health Research Vol. 8 No. 1 (2026): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i1.378

Abstract

A coagulometer is a tool used to check coagulation parameters, such as prothrombin time (PT) and activated partial thromboplastin time (aPTT), for which there are currently various detection methods. Examining PT and aPTT coagulation function requires a fast turnaround time and immediate results because the stability of coagulation factors is less than four hours, so a fast and precise examination is needed. Point-of-care testing (POCT) is a good alternative. This study aimed to determine the difference in aPTT and PT values between POCT and optical fully automatic. This comparison will be useful when selecting coagulometer devices. Methods: This study used a cross-sectional study with a non-probabilistic sample of 100 citrate samples. Each sample was tested for aPTT and PT using POCT and optical fully automatic testing. The results of each examination were analyzed using the Mann–Whitney, Bland-Altman Plot, and correlation statistical tests. In this study, precision tests were also carried out on both methods. methods. There was a significant difference (p < 0.001) in the comparative test results for the aPTT and PT values obtained using the POCT method compared to the optical fully automatic method. The average difference between the two methods was 6.6 seconds for the aPTT parameter and 4.98 for the PT parameter. Fourteen samples were found to have different interpretation values for the aPTT parameter, and 28 samples for the PT parameter. There is a significant difference between the POCT method and the optical fully automatic method. The precision test on the POCT method produced good results.
Comparison of High Fluorescence Cell in Pediatric Patients with Acute Lymphoblastic Leukemia (ALL) and Infection Raden Sindhi Triagustin Kusuma Menthari; Malayana Rahmita Nasution; Ricke Loesnihari; Nindia Sugih Arto; Ranti Permatasari; Dewi Indah Sari Siregar`
Indonesian Journal of Global Health Research Vol. 8 No. 1 (2026): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i1.431

Abstract

High Fluorescence Cell (HFC) is a cell with high nucleoplasmic and nucleic acid content, enabling it to emit a high fluorescent signal. Mind Ray Series BC 760 automated hematology analyzer uses a technology called Sheath Fluid (SF) Cube to detect these cells using the fluorescence staining method. An increase in HFC may be associated with atypical or pleomorphic lymphocytes caused by viral infection rather than immature or monomorphic lymphocytes caused by malignancy. Objective: The objective of this study is to determine the difference in high fluorescence cell in pediatric patients with Acute Lymphoblastic Leukemia (ALL) and infection at Adam Malik Hospital. Methods: This study is an observational analytical study with a prospective cohort design. The study sample was 35 people with a diagnosis of ALL of 15 people and infection of 20 people. This study was conducted on patients who came to the pediatric clinic and were hospitalized with a diagnosis of ALL and infection at Adam Malik Hospital who met the inclusion criteria and agreed to participate in this study. A high fluorescence cell blood test was performed.  criteria. A complete blood test of 2 ml of blood in an EDTA vacutainer was gently homogenized. Analysis with a full blood count (FBC) test was performed using an automated hematology analyzer (Mindray BC 760) to obtain the number of lymphocytes and high fluorescence cells. Descriptive statistical analysis was used for demographic data. Statistical analysis used the Mann Whitney statistical test. The research data were analyzed statistically with the help of SPSS and the difference was considered significant if p value <0.05. Results: From the study sample of 35 people, 24 boys (68.6%) and 11 girls (31.4%), with the mean age of 6 years old. The diagnosis of ALL was 15 people (42.9%) while patients with infection were 20 people (57.1%). The median absolute HFC  in ALL was 0.2 x 109/L, and the median in infection was 0.15 x 109/L. Conclusion: There was no significant difference between HFC in patients with ALL and infection (p=0.211).
Relationship Between HbA1c Levels and Atherogenic Index of Plasma in Diabetic Nephropathy Patients Adithya Nurliza Sitepu; Zulfikar Lubis; Muhammad Aron Pase; Nindia Sugih Arto; Ricke Loesnihari; Almaycano Ginting
Indonesian Journal of Global Health Research Vol. 8 No. 1 (2026): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i1.577

Abstract

Diabetic nephropathy is the leading cause of kidney failure worldwide. Its incidence is comparable to that of cardiovascular disease (CVD), with macrovascular complications remaining the main cause of death among diabetic patients. The Atherogenic Index of Plasma (AIP) is an independent marker and predictor of CVD. AIP indicates risk even when other atherogenic risk factors are normal, categorized as low risk (AIP < 0.11), intermediate risk (AIP 0.11–0.21), and high risk (AIP > 0.21). This study aims to explore the relationship between Glycated Hemoglobin (HbA1c) levels and AIP in patients with diabetic nephropathy to identify the risk of CVD complications. It used a prospective analytical design with a cross-sectional approach, conducted at Adam Malik Hospital, Medan, from February to May 2025. Forty-three outpatients with diabetic nephropathy who met the inclusion criteria were selected using a consecutive sampling technique. Patients were assessed for HbA1c, triglycerides, HDL, and urinary albumin-to-creatinine ratios. AIP was calculated by taking the logarithm of (triglycerides/HDL). Data analysis involved Pearson and Spearman correlation tests. A significant positive correlation was found between HbA1c and AIP (r = 0.670, p = 0.000), as well as between HbA1c and triglycerides (r = 0.398, p = 0.008). A significant negative correlation was observed between HbA1c and HDL (r = -0.648, p = 0.000). However, there was no significant correlation between HbA1c and ACR, nor between ACR and AIP (p > 0.05). In conclusion, higher HbA1c levels are associated with increased AIP levels, which elevate the risk of CVD, characterized by rising triglycerides and decreasing HDL.