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Journal : Althea Medical Journal

Neutrophil-to-Lymphocyte Ratio and Covid-19 Symptom-based Severity at Admission M. Fuad; Amaylia Oehadian; Delita Prihatni; Marthoenis Marthoenis
Althea Medical Journal Vol 8, No 1 (2021)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v8n1.2255

Abstract

Background: Increased Neutrophil-to-Lymphocyte Ratio (NLR) is an independent risk factor for mortality in Covid-19 patients and is considered as an early warning sign of Covid-19 severity. This study aimed to observe the differences in NLR at admission between patients with mild, moderate, and severe symptoms of Covid-19 treated in a referral hospital in Banda Aceh, Indonesia.Methods:  A total of 114 patients with Covid-19 admitted to a referral hospital in Banda Aceh, Indonesia, during March–September 2020 were included in this study. Demographic information and baseline laboratory data, including the NLR, were collected. Descriptive and inferential statistics were used to analyze the data. Results: The median NLR at admission was higher among patients with moderate to severe symptoms than those with mild symptoms [6.54 (2.80–97.00, IQR 4.81–9.44) vs 2.27 (0.79–5.07, IQR 1.43-2.98), p <0.001]. Covid-19 patients who died had a higher NLR than those who survived [10.88 (4.17–47.50, IQR 7.00–15.17) vs 6.15 (2.80–97.00, IQR 4.63–8.50), p 0.02]. Patients with moderate-severe symptoms had an initial NLR of 4.63–8.50 and decreased to 2.75–5.43 at the end of the treatment had a greater chance of survival. There was an increased probability of death in patients with moderate-severe symptoms whose initial NLR was 7.00–15.17, which was then elevated to 14.33–23.25.Conclusion: Different NLR at admission is seen among Covid-19 patients with mild and moderate-severe symptoms, leading to significantly different outcomes. The NLR can be used as a simple parameter to determine the severity of the disease and predict the outcome of Covid-19 patients.
Prognostic Nutritional Index and Systemic Immune-inflammation Index: Possible New Parameters for COVID-19 Severity Suyoso, Suyoso; Oehadian, Amaylia; Khotijah, Alfreda Amelia; Marthoenis, Marthoenis
Althea Medical Journal Vol 10, No 3 (2023)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v10n3.3061

Abstract

Background: The prognostic nutritional index (PNI) parameter has been widely used in estimating the severity of COVID-19. In contrast, investigating the role of the systemic immune-inflammation index (SII) in determining the COVID-19 severity is prospective. This study aimed to investigate the potential of PNI and SII parameters to distinguish the severity of symptoms of COVID-19.Methods: A retrospective observational study was conducted among 209 hospitalized patients with COVID-19. Data were collected from August 2021 to February 2022 in Indonesia’s general COVID-19 referral hospital. Demographic and laboratory data, including PNI and SII, were analyzed and compared between the severe and non-severe symptoms of COVID-19 patients. The statistical analysis of the receiver operating characteristic curve (ROC) and area under curve (AUC) was conducted to predict the potential of these parameters in distinguishing the COVID-19 severity. Results: More than half of this study’s patients (54.55%) were non-severe COVID-19. The SII values in patients with severe symptoms were significantly higher than in those with non-severe symptoms (2,445.24 vs. 1,423.28, p=0.005). In contrast, the PNI value in patients with severe COVID-19 symptoms was significantly lower than those with non-severe symptoms (38.04 vs. 33.93, p<0.001). The area under the curve (AUC) value of PNI was 0.694, meanwhile the SII was 0.635. The optimum cut-off for the PNI was <35.407, whereas the SII was >2,212.787. PNI and SII were the potential new diagnostic parameters for COVID-19 severity.Conclusion: PNI and SII parameters can potentially distinguish the severity of symptoms of COVID-19.
Difference of Neutrophil-to-Lymphocyte Ratio, Monocyte-to-Lymphocyte Ratio, and Platelet-to-Lymphocyte Ratio in Patients with Non-Hodgkin and Hodgkin Lymphoma Jones, Frenky; Mersiana, Lusi; Oehadian, Amaylia; Marthoenis, Marthoenis
Althea Medical Journal Vol 11, No 4 (2024)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v11n4.3335

Abstract

Background: Malignancy and inflammation are strongly connected. The inflammatory processes play a significant part in the development of lymphoma. Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) can be used as potential biomarkers of inflammation in lymphoma. This study aimed to discover the differences between NLR, MLR, and PLR in patients diagnosed with non-Hodgkin lymphoma (NHL), and Hodgkin lymphoma (HL). Methods: This study employed a retrospective design using data from the lymphoma registry at Dr. Hasan Sadikin General Hospital, Bandung, Indonesia from 2020 to 2023. Sampling was carried out consecutively. Hematological data of patients with NHL and HL before chemotherapy were collected. The variance between the two groups was examined utilizing the Mann-Whitney U test.Results: In total, 122 data of patients were included, consisting of 75% NHL patients and 25% HL patients with a median age of 54 years (IQR 43–62). The overall NLR, MLR, and PLR tended to be lower in nHL than in HL patients although the differences were not statistically significant; with NLR 2.7 (0.7 – 12.2) vs. 3.2 (1.1 – 10.8)  p=0.287, MLR 0.36 (0.04 – 1.86) vs. 0.46 (0.09 – 1.78) p=0.150, and PLR was 160.6 (20.2 – 1533.3) vs. 211.2 (50.6–1156.3) p=0.189, for NHL and HL, respectively.Conclusion: The lower values of NLR, MLR, and PLR in NHL indicate lower systemic inflammatory status in NHL than HL patients. Further studies are needed to evaluate dynamic changes of these biomarkers during treatment.
Co-Authors 'Aisy, Rohadatul AA Sudharmawan, AA Aaqib, Muhammad Amaylia Oehadian Arafat, S.M Yasir Ardianti, Riski Dian Arinda Siti Fathia Aripin Ahmad, Aripin Aryandi Darwis Asnawi Abdullah Asnawi Abdullah Asnawi Abdullah Asnawi Abdullah Asnawi Abdullah Asnawi Asnawi Asniar Asniar Aulia, Nia Aulina Adamy Aulina Adamy Aulina Adamy Bai, Ancy Chandrababu Mercy Banerjee, Indrajit Basri Aramico, Basri Chairurrijal Chairurrijal Chowdhury, Mohammad Rocky Khan Cut Husna Cut Yulia Darmawati Delita Prihatni Delvia Basri, Mira Desi Rosdiana desri maulizani Dwi Indah Iswanti Elly Wardhani Ellyani Ellyani, Ellyani Elmeida Effendy Endang Mutiawati Rahayuningsih* Eva Nandawati Fahmi Ichwansyah Fahmi Ichwansyah Farah Dineva.R Farrah Fahdhienie Fatmawati Fatmawati Febrina Rizky Finaul Asyura Habibillah, Isra Yusri Yanti Hafnidar A. Rani Hajjul Kamil Hanis, Nonong Hastuti, Sastri Hayatul Maulida Hayhoe, Richard Henni Fitriani Hermansyah Hermansyah Hermansyah Hermansyah Hizir Sofyan Hizir Sofyan Husain, Syed Shajee Hussain, Remsha I Gusti Bagus Wiksuana Ichwansyah, Fachmi Iman Murahman Indra Jaya Irwan Saputra Irwan Saputra1 Ismail, Nizam Jannah, Syarifah Rauzatul Jauhari, Julianti Jones, Frenky Juanda, Andri Kabir, Russell Khan, Muhammad Feroz Khotijah, Alfreda Amelia Liana, Leni M. Fuad Maidar Maidar Maidar Maidar Maidar Maidar Maidar Maidar, Maidar Marlina Marlina Marlina Marlina Martina Martina Martunis - Marty Mawarpury Marty Mawarpury. Maulana, T Maulana, Teuku Maulidayani, Maulidayani Mawaddah, Husnul Melania Hidayat Mersiana, Lusi Meutia Zahara Milza Oka Yussar Mohammadnezhad, Masoud Mohd. Ichsan Mudatsir Muhammad Fadhil Muhammad Muhammad Mulud, Zamzaliza Abdul Munazar Munazar Murni, Mayang Mushaddiq, Muhammad Mustanir Muzdalifah Muzdalifah N. Nurjanah Nabila, Alifia Ni Luh Ari Yusasrini Nisa, Nurul Hafizatun Nofita Yulandari Nora Usrina Novianti, Hernia Novita Novita Nurjannah Nurjannah Nurjannah Nurjannah Nurjannah Nurlela, Lela Nurliana Nurul Aini Nurul Fajri Parsa, Ali Davod Parvin, Sauda Putri Maina Putri, Rosalia Radhiah Zakaria Rahmadiana, Rahmadiana Rahmatillah, Irhamni Rahmi Inayati Rahmi Izzati Rahmi, Alfiatur Ramadhansyah Purnomo Iswa Reza Kurnia Riski Muhammad Riza Sofia RR. Ella Evrita Hestiandari Rudi Alfiandi Said Devi Elvin Said Usman Said Usman Said Usman Said Usman Saputra, Irwan Saputra, Irwan Sari, Dianis Wulan Sathian, Brijesh Siti Helmyati Sitio, Roma Sivasubramanian, Madhini Sofia Sofia Sofia Sofia, Sofia Sri Jumiati, Sri Sri Warsini Suhermawan, Suhermawan Suyani Suyani, Suyani Suyoso Suyoso Syed, Haniya Zehra Tahlil, Teuku Taufik Taufik Teuku Andi Syahputra Teuku Tahlil Usman, Said Vinnakota, Divya Yanti, Cut Aini Fauzi Yoga Yuniadi Yulia, Mirna Yusuf, Nazira Zahra, Zulfa Zakaria, Radhiah Zakaria, Radiah