Rachmawati Muhiddin
Department of Clinical Pathology, Faculty of Medicine, Hasanuddin University/Dr. Wahidin Sudirohusodo Hospital, Makassar

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IL-6 Levels Analysis Controlled in Type 2 Diabetes Mellitus Patients and Uncontrolled Moonika Todingan; Rachmawati Muhiddin; Liong Boy Kurniawan
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 29 No. 2 (2023)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i2.1972

Abstract

Interleukin   6 (IL-6) is one of the pro-inflammatory cytokines responsible for inducing tissue-specific and/or systemic inflammation, which is a major contributor to the induction of inflammation of pancreatic islet cells.  Inflammation of pancreatic cells causes impaired insulin secretion and Type 2 Diabetes Mellitus (T2DM). This study aims to determine the levels of IL-6 in T2DM patients with different levels of severity. A cross-sectional study of 46 subjects was performed with 21 in the controlled T2DM group and 25 in the uncontrolled T2DM group. Interleukin-6 levels were measured using the ELISA method. The statistical tests used were the Mann-Whitney test and the Spearman test. The test results were significant if the p-value <0.05. The level of IL-6 in uncontrolled T2DM was higher (64.00±77.65 pg/mL) than in controlled T2DM (31.25±11.04 pg/mL).  Although the levels in both groups were different, the value was not statistically significant (p=0.120). There was no significant correlation found between HbA1c and IL-6 (p=0.125, r =0.230). Several experimental studies have shown that IL-6 inhibits glucose-stimulated insulin secretion from pancreatic islets in experimental animals. However, some of them revealed that acute exposure to IL-6 did not appear to affect pancreatic islet cell function, which is still controversial today. This study found a tendency of increased IL-6 in high-severity T2DM compared to low-severity T2DM although not statistically significant. Further studies with more clinically homogeneous samples are still needed.
Analysis of Erythrocyte Indices and Reticulocyte Hemoglobin Equivalent in Iron Deficiency Anemia on Treatment Agnes Theresia Motulo; Rachmawati Muhiddin; Nadirah Rasyid Ridha; Mansyur Arif; Agus Alim Abdullah
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 29 No. 2 (2023)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i2.1991

Abstract

Assessment of treatment response is needed in the management of iron deficiency anemia (IDA). This study aims to analyze erythrocyte indices (MCH, MCV, MCHC) and Ret-He as indicators of IDA diagnosis and treatment response. A prospective cohort study in children ages 2-18 years old in orphanages throughout Makassar. Grouped into normal group and therapy group, consisting of IDA and iron deficiency groups. Elemental iron therapy 3mg/kg/day was given. Levels of MCV (fl), MCH (pg), MCHC (g/dL), and Ret-He (pg) were measured before and on the 8th day of therapy. The normality test of numerical variable data used the Kolmogorov-Smirnov test. The statistical test used the Mann-Whitney test, Wilcoxon Signed Rank test, and the Kruskal-Wallis test.  Diagnostic value and cut-off determination using ROC curve analysis. Test results were significant if p<0.05. The sample consisted of 40 subjects each in both normal and therapy groups. The therapy group was divided into 7 IDA and 33 iron deficiency. ROC IDA curve on MCV obtained a cut-off of 76 fl, a sensitivity of 100%, a specificity of 95%, NPP of 77.8%, NPN of 100%, MCH obtained a cut-off of 25 pg, a sensitivity of 100%, 97.5% specificity of 97.5%, NPP of 87.5%, NPN of 100%, Ret-He obtained cut-off 29 pg, sensitivity of 100%, specificity of 95%, NPP of 77.5%, NPN of 100%. MCV levels increased by 7.3% (p<0.05) while Ret-He increased by 19.6% (p<0.05) after therapy. The ROC curve coordinate on IDA showed that cut-off levels of MCV 76 fl, MCH 25 pg, and Ret-He 29 pg provided optimal sensitivity and specificity. Increasing MCV after therapy described increasing levels in erythrocyte and hematocrit synthesis. Increasing Ret-He after therapy described improving erythropoiesis quality. MCV, MCH, and Ret-He as indicators of diagnosing IDA. MCV and Ret-He monitor the success of IDA treatment response.
Analysis of Blood Group Discrepancy at Dr. Wahidin Sudirohusodo Hospital's Blood Transfusion Unit Makassar Erdayanti Erdayanti; Rachmawati Muhiddin; Mansyur Arif
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 30 No. 2 (2024)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v30i2.2117

Abstract

Discrepancy is a lack of compatibility of blood group tests between forward grouping and reverse grouping. Based on the cause, discrepancies are divided into four groups as follows: group I discrepancies, which occur due to weak or missing antibodies, group II discrepancies, which occur due to weak or missing antigens, group III discrepancies, which result in the formation of rouleaux, and group IV discrepancies, which are caused by other problems. A retrospective study was carried out by using ABO blood group data, which were analyzed by the automatic gel test method with the IH-1000 device. Data from January 2019 to December 2021 was collected at the Blood Transfusion Unit, Dr. Wahidin Sudirohusodo Hospital of Makassar, and the data were grouped using SPSS version 22. A total of 21.742 samples were tested. The number of detected ABO blood group discrepancies was 127 (0.58%). There were 68 (51.3%) males and 59 (46.5%) females with an age range divided into toddler (38.6%), child (2.4%), adolescent (13.4%), adult (8.7%), pre-elderly (17.3%), and elderly (6.3 %). Based on the disease, discrepancies were categorized into samples with infectious disease (33.9%), autoimmune disease (3.9%), malignancy (23.6%), chronic disease (11%), and others (27.6%). The discrepancies consisted of group I (70.9%), group II (0%), group III (0.8%), and group IV (28.3%). There was a significant correlation between age and blood group discrepancy with p < 0.001 and moderate correlation strength (0.54). The prevalence of discrepancy in this study was 0.58%. Discrepancies must be resolved before they are reported to minimize transfusion reactions.