Amaylia Oehadian
Division Of Hematology And Medical Oncology, Department Of Internal Medicine, Faculty Of Medicine, Universitas Padjadjaran/Dr. Hasan Sadikin General Hospital, Bandung

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Journal : Althea Medical Journal

Bleeding Patterns among Severe Hemophilia A and B Patients in West Java Muhammad Mufakkirul Islam; Susi Susanah; Amaylia Oehadian
Althea Medical Journal Vol 7, No 2 (2020)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v7n2.1941

Abstract

Background: The clinical manifestations of hemophilia A (HA) and hemophilia B (HB)are quite similar; however, the bleeding characteristics of these two hemophilia types have been reported to be different. This study aimed to explore the bleeding patterns among patients with severe HA and severe HB.Methods: A cross-sectional study was conducted among patients with severe HA and HB registered at the West Java Indonesian Hemophilia Society. The inclusion criteria were patients with severe hemophilia diagnosed for at least one year. The bleeding patterns included bleeding episodes and bleeding types. The Mann-Whitney test was used to compare bleeding episodes and a chi-square test for bleeding types.Results: In total, 158 severe HA patients and 21 severe HB patients were included with a median bleeding frequency per patient per year for HA and HB was 24 (range 0–48) and 24 (range 5–48), respectively. The bleeding types in HA and HB were ecchymosis (69% vs. 66.7%), hematoma (62.7% vs. 61.9%), hemarthrosis (99.4% vs. 100%), epistaxis (46.8% vs. 38.1%), gum bleeding (87.3% vs. 95.2%), intracranial hemorrhage (15.2% vs. 9.5%), multiple hematomas (36.7% vs. 47.6%), hemarthrosis-hematoma (61.4% vs.61.9%), and hemarthrosis-ecchymosis (69% vs. 61.9%). However, there was no significant difference in all types of bleeding between HA and HB.Conclusions: There is no difference in the pattern of hemorrhage between severe HA and severe HB in West Java. However, the bleeding phenotypes in hemophilia has considerable implications in the therapeutic process. Further research is needed to optimize the treatment regimens.
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.
Differences in Bleeding Episodes in Severe Hemophilia A Based on Nutritional Status Wenny Simamora; Susi Susanah; Amaylia Oehadian
Althea Medical Journal Vol 7, No 4 (2020)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v7n4.1938

Abstract

Background: Hemophilia A is a congenital bleeding disorder caused by the deficiency of coagulation factor VIII and is characterized by joint bleeding, especially in weight-bearing joints. An excess weight may cause bleeding in hemophilia due to increased joint tension. This study aimed to determine the differences in bleeding episodes between severe hemophilia A patients with and without excess weight.Method: A comparative observational analytic study was conducted in March-November 2019 using a cross-sectional design. Subjects were patients with severe hemophilia A registered in the Indonesian Hemophilia Society Association in West Java and had had severe hemophilia A for at least two years old with complete data on date of birth, height, weight, and bleeding intensity. Subjects were divided into groups with excess weight (excess weight) and without excess weight (non-excess weight). Nutritional status in adults was determined based on age-specific percentile BMI. Bleeding episodes were determined as frequency of bleeding in one year. The Mann-Whitney statistical test was used to observe the difference between groups.Result: Of 226 severe hemophilia A patients registered, only 155 patients were included. Of these, 121 patients did not have excess weight and 34 had excess weight. The median bleeding episodes of in the non-excess weight and excess weight groups were 24(1-48) and 24(8-48), respectively (p=0.761).Conclusion: There is no difference in bleeding episodes Between severe hemophilia A patients with excess weight and without excess weight. However, good nutrition education needs to be provided to these patients since excess weight may increase bleeding in joints.
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.