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All Journal INDONESIAN JOURNAL OF MEDICAL LABORATORY SCIENCE AND TECHNOLOGY Journal of Endocrinology, Tropical Medicine, and Infectious Disease (JETROMI)
Syahrini, Heny
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Health Professions Immunology & microbiology Medicine & Pharmacology Public Health Social Sciences

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Anemia Profile in Cancer Patients at Adam Malik Hospital for the Period June 2022 to May 2023 Beneditto Alfinus Sihombing; Batubara, Chairil Amin; Anggreiny; Syahrini, Heny
Journal of Endocrinology, Tropical Medicine, and Infectious Disease (JETROMI) Vol. 6 No. 3 (2024): Journal of Endocrinology, Tropical Medicine, and Infectious Disease (JETROMI)
Publisher : TALENTA Publisher, Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jetromi.v6i3.14957

Abstract

Background: Cancer is a condition of rapid and uncontrolled cell growth. Anemia in cancer patients is a condition that will worsen the quality of life and prognosis of cancer patients. The study aimed to determine the incidence, severity of anemia, and characteristics of cancer patients who experience anemia at the Adam Malik Hospital for the period June 2022 to May 2023. Methods: This study is a descriptive study with a retrospective cross-sectional approach. Using 97 samples of medical record data of cancer patients with the subject of cancer patients. The analysis used was univariate. Results: This study involved 97 cancer patients, there were 67 (69.1%) patients who experienced anemia, including 14 (20.9%) people with a mild degree of anemia, 33 (49.3%) people moderate degree, and 20 (29.9%) people severe degree. Of the 67 cancer patients who experienced anemia, the dominant anemia occurred in female patients as many as 38 (56.7%) people with an adult age group (18-44 years) as many as 31(46.3%) people diagnosed as hematological malignancies as many as 34 (50.7%) people with nutritional status in the normal weight group as many as 27 (40.3%) people, and as many as 46 (68.7%) people cancer patients who experienced anemia did not have comorbidities. Conclusion: Most cancer patients experienced anemia of moderate degree (69.1%), female gender, with adult age group (18-44 years), diagnosed as hematological malignancies, with nutritional status normal weight group, and had no comorbidities
Neutrophil-Lymphocyte Ratio (NLR) and Lymphocyte-Monocyte Ratio (LMR) as Covid-19 Screening Parameters Syahrini, Heny; Fadjari, Trinugroho Heri; Dalimoenthe, Nadjwa Zamalek
JURNAL INDONESIA DARI ILMU LABORATORIUM MEDIS DAN TEKNOLOGI Vol 4 No 1 (2022): The future of diagnostic laboratory testing
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ijmlst.v4i1.2281

Abstract

Covid-19 diagnosis generally uses RT-PCR as the gold standard to detect coronavirus-2 (SARS-CoV-2); however, this method requires advanced laboratory equipment. Alternatively, Neutrophil-Lymphocyte Ratio (NLR) and Lymphocyte-Monocyte Ratio (LMR) can be used to identify viral infection. The study aimed: (1) to compare each NLR and LMR ratio in patients with and without COVID-19 and (2) to test the effectiveness of these ratios in identifying COVID-19. The study was conducted at the Haji Adam Malik Central General Hospital by acquiring 87 medical records data. The complete hematologic profile was analyzed from patients with and without COVID-19. The NLR and LMR ratio accuracy were analyzed as a screening tool for COVID-19. The AUC of NLR was 0.638, with cut-off ≤ 2.49, 47.6% sensitivity, and 80% specificity; therefore, the NLR accuracy as a screening for COVID-19 was defined as not good (just sufficient) because of AUC <0,7. The AUC of LMR was 0.661, with cut-off ≥ 3.23, 45.2% sensitivity, and 82.2% specificity; therefore, the LMR accuracy as a screening parameter for COVID-19 is defined as not good (just sufficient) because of AUC <0,7. There were significant differences in hematologic profile in neutrophil, lymphocyte, NLR, LMR between the patients in the COVID-19 group and non-COVID-19 group. NLR and LMR cannot be used as a screening tool because the Area Under Curve (AUC) is not good enough (just sufficient) in detecting COVID-19.
Co-Authors Anggreiny Beneditto Alfinus Sihombing Chairil Amin Batubara Nadjwa Zamalek Dalimoenthe Trinugroho Heri Fadjari, Trinugroho Heri