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INDONESIA
Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML)
Published by Perhimpunan Dokter Spesialis Patologi Klinik Indonesia
ISSN : 08544263     EISSN : 24774685     DOI : https://dx.doi.org/10.24293
Core Subject : Health, Science,
Biochemistry, Genetics & Molecular Biology Health Professions Medicine & Pharmacology Neuroscience
Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML) is a journal published by “Association of Clinical Pathologist” professional association. This journal displays articles in the Clinical Pathology and Medical Laboratory scope. Clinical Pathology has a couple of subdivisions, namely: Clinical Chemistry, Hematology, Immunology and Serology, Microbiology and Infectious Disease, Hepatology, Cardiovascular, Endocrinology, Blood Transfusion, Nephrology, and Molecular Biology. Scientific articles of these topics, mainly emphasize on the laboratory examinations, pathophysiology, and pathogenesis in a disease.
Arjuna Subject : Kedokteran - Kedokteran (Lain-Lain)
Articles 1,328 Documents
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The Correlation between Total Alkaline Phosphatase and Osteocalcin Levels in Systemic Lupus Erythematosus Patients Ahmad Mulyadi Sunarya; MI. Diah Pramudianti; Yuwono Hadisuparto
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 28, No 3 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v28i3.1668

Abstract

Systemic Lupus Erythematosus (SLE) is a chronic autoimmune inflammatory disease with various complications, including osteoporosis. However, Bone Mineral Density (BMD) examination, a gold standard for diagnosing and monitoring osteoporosis, is static. Alkaline phosphatase (ALP) is a membrane-bound glycoprotein that catalysis the hydrolysis of monoester phosphate. Osteocalcin (OC) is a non-collagenic bone protein that binds calcium and phosphate, which are both dynamic bone formation activity markers. This study analyzes the correlation between total ALP and OC serum levels in SLE patients. A cross-sectional observational analytic study was conducted in the Clinical Pathology Installation of Dr. Moewardi Hospital Surakarta in June 2020. The subjects were SLE patients receiving Methylprednisolone (MEP) therapy ≥1 year. Data distribution normality test by Saphiro-Wilk, comparative analysis with unpaired T-test, degree of correlation strength between research variables by Pearson correlation test. There were 41 female subjects, and comparative analysis of total ALP and serum OC levels were not significantly different in inactive and active SLE (ALP p=0.373, serum OC p=0.700). Total ALP and serum OC was found to have a weak positive correlation in all SLE patients (r=0.337; p=0.031), a moderate positive correlation in active SLE (r=0.426; p=0.043), while in inactive SLE there was no significant correlation (r=0.247; p=0.324). There is a significant moderate positive correlation between total ALP and serum OC in SLE patients. Total ALP and serum OC examinations are necessary for osteoporosis screening in SLE patients with > 1-year glucocorticoid (GC) therapy.
The Diagnostic Value of Platelet Count and MPV in Suspected COVID-19 Patient at Dr. Saiful Anwar Hospital Agustin Iskandar; Aditya Sri Listyoko; Hambiah Hari Oki
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 28, No 3 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v28i3.1870

Abstract

COVID-19 is a disease caused by SARS-CoV-2. Haematology alterations like lymphopenia is common, but not much study involves about thrombocyte. Incidence of thrombocytopenia in COVID-19 patient is 5-53.6%. Purpose of this study is to analyze diagnostic value of thrombocyte count and MPV in COVID-19. Cross sectional design took place at Dr. Saiful Anwar Hospital on March-June 2020. Data was taken at first admission. Confirmation test with SARS-CoV-2 gene detection with RT-PCR method. 115 patient suspected COVID-19 collected at the end of study with 69 positive and 46 negative. AUROC for thrombocyte is 0.336 (CI: 95%, 0.238 – 0.435, p= 0.01); MPV 0.488 (CI  95%, 0.378 – 0.598, p= 0.762). Thrombocyte count and MPV doesn’t have good diagnostic value for COVID-19. This might be due to different conditions that patient might had at admission. Thrombocytopenia and increased MPV often caused by hyperinflammatory condition and severe infection as mentioned in other study. Thrombocyte count and MPV alone can’t be used to diagnose COVID-19. Coincide use of other marker such inflammatory markers might be useful. Future study with larger sample and serial testing may needed to evaluate more about diagnostic value of thrombocyte count and MPV.
Determining Glomerular and Non-Glomerular Hematuria Dysmorphic Red Blood Cell: Study on Automatic Urine Analyzer Dias Setiawan; B. Rina A. Sidharta; Dian Ariningrum
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 28, No 3 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v28i3.1927

Abstract

Hematuria is a sign of glomerular and non-glomerular kidney disease. Erythrocytes that pass through the glomerulus will change shape to become dysmorphic. Dysmorphic red blood cells (dRBC) can be screened using an automatic urine analyzer based on flowcytometry to distinguish the source of hematuria from glomerular or non-glomerular. The purpose of this study was to determine the diagnostic performance of the flowcytometry-based dRBC automatic urine analyzer in differentiating glomerular and non-glomerular hematuria. This study used a cross-sectional research design at the Clinical Pathology Installation at RSUD Dr. Moewardi in Surakarta. The subjects of the study were patients with hematuria at the Polyclinic and Internal Medicine Ward, Nephrology sub-division, Pediatric Polyclinic, nephrology sub-division, Urology Surgery Polyclinic in March – July 2021. The diagnostic test was carried out after determining the cut-off value of dRBC with ROC curve and AUC value. The results showed that the cut-off value of dRBC for glomerular and non-glomerular hematuria was 67% and had the best analytical performance with sensitivity 91.07%, specificity 85.36%, AUC 0.890 (95%CI: 0.832–0.947; p=0.000). In this study, dRBC parameters can be used for screening and diagnostics of patients with glomerular and non-glomerular hematuria. Further research needs to be done with other more specific gold standards such as examination of urine sediment with a phase contrast microscope.
Non-HDL Cholesterol and LDL Cholesterol as Main Risk Factors for Coronary Heart Disease: Meta-Analysis Ravell Hansen Untono; Jusak Nugraha; I. Gde Rurus Suryawan; Andrianto Andrianto
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 28, No 3 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v28i3.2006

Abstract

Coronary heart disease is a highly frequent illness in both developed and developing nations. Non-HDL cholesterol (n-HDL-c) and LDL cholesterol (LDL-c) stages are biomarkers that doctors frequently utilize to assess the risk of Coronary Heart Disease (CHD). This study was a systematic review and meta-analysis to assess the association between n-HDL-c and LDL-c as major risk factors for CHD. Cochrane, PubMed, and Science Direct searches were conducted using the keywords "LDL cholesterol," "non-HDL cholesterol," and "coronary heart disease." Any research that describes the analysis of LDL-c and n-HDL-c as key risk factors for CHD and all studies involving patients diagnosed with CHD are included in the literature. A total of seven papers were involved in the qualitative analysis (systematic review), while five studies were included in the quantitative analysis (meta-analysis). The English-language research includes two RCTs, four case-control studies, and one cohort study, with a total of 68,713 individuals. LDL-c parameters were obtained (MD = 8.45; 95 percent CI = 7.03-9.87 p=0.001) and n-HDLc (p=0.001) (MD = 35.57; 95 percent CI = 33.27-37.88). n-HDL-c may be a more significant parameter of CHD risk because it has a higher MD value.
Author and Subjects Index Dian Wahyu Utami
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 28, No 3 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v28i3.2025

Abstract

Correlation between NLR and PLR with the Severity of COVID-19 Inpatients Fitriana Andiani; Rita Herawati; Yani Triyani
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 29, No 1 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i1.1924

Abstract

When the COVID-19 outbreak is ongoing, the classification of COVID-19 patients based on the severity assessment is necessary to optimize the allocation of existing resources and early management interventions to improve prognosis. Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) are two of the most common, simple, inexpensive, rapid, and widely available tests in all health facilities, which indirectly indicate the inflammatory status of COVID-19 patients. This study aimed to analyze the correlation between NLR and PLR with the severity of COVID-19 inpatients. This cross-sectional study was conducted retrospectively using medical record data of COVID-19 patients hospitalized at Al Islam Hospital, Bandung, from January to March 2021. COVID-19 patients involved in this study were classified into moderate, severe, and critical degrees. Statistical analysis was carried out using ANOVA or Kruskal-Wallis and Spearman with a significant value of p < 0.05. The median NLR and PLR results based on the severity were 3.49; 6.27; 8.4 (p<0.001) and 159.2; 202.6; 250.9 (p<0001), respectively. There was a correlation between NLR and PLR and the severity with r= 0.415 (p<0.001) and r=0.216 (p<0.001), respectively. The correlation between NLR and the severity was stronger than PLR. Therefore, it was concluded that there was a correlation between NLR and PLR with the severity of COVID-19 patients.
COVID-19 (Symptomatic Non-Respiratory) with Type 2 Diabetes Mellitus Nursin Abdul Kadir; Ida Parwati
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 29, No 1 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i1.1863

Abstract

COVID-19 is a respiratory infection caused by a new strain of Coronavirus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which is highly contagious, primarily through respiratory droplets and contact. Typical symptoms include fever, cough, and shortness of breath. Weakness, nausea, and vomiting are often accompanied by respiratory symptoms but are sometimes confusing when these symptoms occur without respiratory symptoms. COVID-19 can affect any age group, are more common in adults and males and increase in patients with comorbidities. One of the most common comorbidities is Diabetes Mellitus (DM). A 40-year-old male patient complained of fever and weakness for three days. Nausea and vomiting since nine days before hospital admission, accompanied by painful swallowing, heartburn, and decreased appetite. History of going out of town and eating with friends 14 days before access to the hospital. 3 3 Laboratory examination results: 6600 leukocytes/mm , 264,000/mm platelets, NLR 2.3, 209 mg/dL of blood glucose, HbA1C 8.6%, SGOT 67 IU/L, SGPT 102 IU/L, IgG SARS-CoV-2 reactive, positive TCM SARS-CoV-2 (N2 Ct 18 and E Ct 20.3), and the duration of negative conversion of RT-PCR SARS-CoV-2 results was 19 days. The SARS-CoV-2 virus not only infects pneumocytes but also gastrointestinal, pancreatic, and endothelial cells via ACE2 receptors in DM patients, causing increased cell wall permeability to foreign pathogens and viral replication in the gastrointestinal lining cells. Subsequent enterocyte invasion causes malabsorption resulting in enteric symptoms. Uncontrolled glycemia conditions can slow viral shedding, so the length of negative conversion of RT-PCR SARS-CoV-2 results is prolonged. Based on the data above, the diagnosis in this patient was COVID-19 (symptomatic non-respiratory) with type 2 DM.
Determination of Platelet Count Estimation Factor on Peripheral Blood Smear Confirmation Using Field Number 22 Microscope Y. Kusumo Adi Arji Atmanto; Agus Alim Abdullah; Darwati Muhadi; Mansyur Arif
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 29, No 1 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i1.1949

Abstract

The automatic platelet count sometimes requires confirmation on the peripheral blood smear. Platelet count estimation can also be used for reporting platelet count if an automatic cell counter is not available, with an estimation factor according to the Field Number (FN) of the microscope used. This study aimed to determine the platelet count estimation factor based on peripheral blood smear confirmation using an FN 22 microscope. An observational cross-sectional study was carried out in patients who had routine hematological and peripheral blood smear examinations during September 2021 by determination of platelet count using the automatic cell counter method and an average number of platelet counts per field of view with 100x objective magnification. The estimation factor is the total ratio divided by sample size. The total ratio of 254 samples was 4.086. The platelet count estimation factor was 16, indicating that 1 platelet per field of view was equivalent to 16x103/µL. There was a very strong significant correlation between mean platelet count per field of view and platelet count using the automatic cell counter (p<0.001, R>0.750). The field number is the image diameter of the microscope eyepiece. The latest generations of microscope use FN 20 or more, which provides a wider field of view, enabling the observation of more platelets. Factor estimation was used to determine the estimated platelet count on a peripheral blood smear. A big difference between automatic cell counter and peripheral blood smear might indicate pre-analytic, analytic, and post-analytic errors. The platelet count estimation factor based on peripheral blood smear confirmation using the FN 22 microscope was 16. Each laboratory needs to determine the estimation factor according to the FN microscope used.
Survival Study of D-dimer, Lactic Acid and BGA on COVID-19 Patients Purwadi Sujalmo; Rosita Yunanda Purwanto; Clarista Ardelia Rahardjo; Yanasta Yudo Pratama; Rochmi Isnaini Rismawanti; Wandira Lalitya; Afridhia Bidari Fachrudin
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 29, No 1 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i1.2084

Abstract

The value of D-dimer value, lactic acid levels, and the results of blood gas analysis (PaO2, PCO2, PH, and PaO2/FiO2) are prognostic factors for COVID-19 patients, although there is no agreement on the optimum cut-off point for specificity and sensitivity. The aim of this study is to examine D-dimer value, lactic acid levels, and the results of blood gas analysis as a prognosis for patients with severe or critical COVID-19. This was a retrospective study of the medical records of the UGM Academic Hospital. Overall survival was assessed by the Kaplan-Meier curve. Determination of the cut-off for D-dimer, lactic acid, and BGA variables was carried out using the ROC followed by calculating the Youden index. Then the hazard ratio was determined by Cox regression. The cut-off value to determine the group of patients on the D-dimer and lactic acid variable was 881 ng/mL (sensitivity 77.23%, specificity 32.31%) (p=0.040) and 21 ng/mL, patients with lactic acid values above the cut-off had a higher risk of death (p=0.391). The cut-off of pH, PaO2, and PaCO2 were 7.43, 72.2 mmHg, and 33.9, respectively. D-dimer levels, lactic acid, and PaCO2 values in blood gas analysis above the cut-off value had a worse survival rate, while patients also had a worse survival rate if the PaO2 and PH values were below the cut-off value.
Neutrophil-to-Lymphocyte Ratio and Comorbidities as Mortality Predictors for COVID-19 Patient at Dr. Moewardi Hospital Surakarta Lawly Arrel Dionnie Greatalya; Dian Ariningrum; Lukman Aryoseto
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol 29, No 1 (2022)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v29i1.1932

Abstract

The COVID-19 pandemic has drawn global attention as its main health issue. The rapid transmission and the diverse degree of severity have caused complicacy in controlling the disease. A hematological lab test has been a standard procedure done during therapy. This study aimed to determine the relation of the hematological parameter as a COVID-19 mortality predictor. The cohort retrospective method was used for this study by observing the medical records of critically ill COVID-19 patients admitted at Dr. Moewardi Hospital, Surakarta, from May 2020 to June 2021. The observed variables in this study were age, gender, comorbidities, and hematological lab test towards the outcome. The results were then analyzed bivariate and multivariate with SPSS. Out of 161 data, 101 were found alive and 60 deceased. Bivariate analysis showed that age of 50-80 years (RR= 2.246; p=0.029), comorbidities (RR=2.891; p=0.008), leucocyte>9850/µl (RR=2.634; p=0.004), neutrophil percentage >84.25% (RR=4.808; p=0.000), lymphocyte percentage<22% (RR=0.065; p=0.008), and NLR>9.326 (RR=5.031; p=0.000) had a relationship with the outcome. Gender, hemoglobin level, and platelet did not significantly correlate with the patient's outcome. Multivariate analysis showed that a history of comorbidities (RR=2.9326; p=0.012) and NLR >9.326 (RR=5.073; p=0.000) were proven to be a good predictor for mortality of COVID-19 patients. This result can be advantageous for clinicians in predicting the mortality of COVID-19 patients.

Page 83 of 133 | Total Record : 1328

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