Putu Niken Ayu Amrita

Background: The exploration of simple, cost-effective, and low-risk prognostic markers, such as the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) as predictive factors for survival in diffuse large B-cell lymphoma (DLBCL) patients receiving R-CHOP therapy has become increasingly important due to the variability in results seen in prior studies. Methods: This observational cross-sectional study analyzed NLR, LMR, and PLR as predictors of survival in DLBCL patients treated with R-CHOP. Data was collected from DLBCL patients from June 2017 to June 2022. All statistical analyses were performed using R version 4.2.3 using pROC package for receiver-operating characteristic curves analyses. Univariate and multivariate logistic regression analyses were performed to assess predictors’ association with overall survival (OS). Results: There were 112 DLBCL patients receiving R-CHOP, 87 were classified as surviving, while 25 were not. Univariate logistic regression analyses revealed significant associations between overall survival (OS) and IPI scores (p < 0.001). Conversely, gender, response to R-CHOP therapy, and hematologic indicators of NLR > 2.0, PLR > 213.4, and LMR > 1.1 did not show significant associations with OS. Multivariable logistic regression analysis using backward selection identified LMR (p = 0.036; 0.24 (95%CI: 0.05 to 0.84) as independent predictors for OS in DLBCL patients. Conclusions: Our study revealed several fundamental risk factors, including extranodal involvement, ECOG performance status, LDH, and LMR, were independently associated with 2-year mortality in DLBCL patients before initiating R-CHOP therapy. However, due to the limitations of this study, further research with larger sample sizes is warranted.

Background : To date, coronavirus diseases 2019 (COVID-19) has no definitive treatment. Thrombosis and hypercoagulation may occur in the advanced stage. Further study on how to use anticoagulants is still required to promote the best prognosis. Method s : A cross-sectional study of 110 moderate, 140 severe, and 81 critical patients receiving unfractioned heparin (UFH), low-molecular-weight heparin (LMWH), and fondaparinux was conducted. Data were collected from March 15th to August 31st 2020 at Universitas Airlangga and Husada Utama Hospital. A comparative study of white blood cell (WBC), neutrophils, lymphocytes, neutrophil-lymphocyte ratio (NLR), c-reactive protein (CRP), procalcitonin (PCT), D-dimer, all-cause mortality rate, length of stay, and days of death among three severities of COVID-19 was done. Univariate and multivariate analysis were used to determine the correlation between inflammatory state after anti-coagulant with patients’ mortality. Results: Two deaths occurred in moderate cases, 36 deaths in severe cases, and 70 deaths in critical cases on ventilators. On day 13, moderate and severe groups showed decreased WBC, neutrophils, NLR, CRP, and D-dimer (p < 0.05). NLR, CRP, and D-dimer (p<0.05) in critically ill and ventilated patients decreased. Day-13 evaluation revealed 32.73% decrease of inflammatory markers in moderate group; 32.86% in severe patients; and 16.05% in critically ill, ventilated patients. A significant correlation between day 13 inflammatory status with mortality was seen in moderate and critical cases with a ventilator (r=0.337; p< 0.05 and r=0.25; p 0.05). Inflammatory profile on day 6 (adjusted odds ratio [aOR] = 2.36; p < 0.05) and day 13 ([aOR] = 4.15; p < 0.05) was associated with patients’ mortality. Conclusion s : Anticoagulants in COVID-19 patients lower inflammation markers. Evaluating inflammatory status is essential to predict the mortality. Inflammatory markers on day 13, based on the severity of COVID-19 and comorbidities, were associated with mortality in moderate and critical cases.

Background : To date, coronavirus diseases 2019 (COVID-19) has no definitive treatment. Thrombosis and hypercoagulation may occur in the advanced stage. Further study on how to use anticoagulants is still required to promote the best prognosis. Method s : A cross-sectional study of 110 moderate, 140 severe, and 81 critical patients receiving unfractioned heparin (UFH), low-molecular-weight heparin (LMWH), and fondaparinux was conducted. Data were collected from March 15th to August 31st 2020 at Universitas Airlangga and Husada Utama Hospital. A comparative study of white blood cell (WBC), neutrophils, lymphocytes, neutrophil-lymphocyte ratio (NLR), c-reactive protein (CRP), procalcitonin (PCT), D-dimer, all-cause mortality rate, length of stay, and days of death among three severities of COVID-19 was done. Univariate and multivariate analysis were used to determine the correlation between inflammatory state after anti-coagulant with patients’ mortality. Results: Two deaths occurred in moderate cases, 36 deaths in severe cases, and 70 deaths in critical cases on ventilators. On day 13, moderate and severe groups showed decreased WBC, neutrophils, NLR, CRP, and D-dimer (p < 0.05). NLR, CRP, and D-dimer (p<0.05) in critically ill and ventilated patients decreased. Day-13 evaluation revealed 32.73% decrease of inflammatory markers in moderate group; 32.86% in severe patients; and 16.05% in critically ill, ventilated patients. A significant correlation between day 13 inflammatory status with mortality was seen in moderate and critical cases with a ventilator (r=0.337; p< 0.05 and r=0.25; p 0.05). Inflammatory profile on day 6 (adjusted odds ratio [aOR] = 2.36; p < 0.05) and day 13 ([aOR] = 4.15; p < 0.05) was associated with patients’ mortality. Conclusion s : Anticoagulants in COVID-19 patients lower inflammation markers. Evaluating inflammatory status is essential to predict the mortality. Inflammatory markers on day 13, based on the severity of COVID-19 and comorbidities, were associated with mortality in moderate and critical cases.

Background : To date, coronavirus diseases 2019 (COVID-19) has no definitive treatment. Thrombosis and hypercoagulation may occur in the advanced stage. Further study on how to use anticoagulants is still required to promote the best prognosis. Method s : A cross-sectional study of 110 moderate, 140 severe, and 81 critical patients receiving unfractioned heparin (UFH), low-molecular-weight heparin (LMWH), and fondaparinux was conducted. Data were collected from March 15th to August 31st 2020 at Universitas Airlangga and Husada Utama Hospital. A comparative study of white blood cell (WBC), neutrophils, lymphocytes, neutrophil-lymphocyte ratio (NLR), c-reactive protein (CRP), procalcitonin (PCT), D-dimer, all-cause mortality rate, length of stay, and days of death among three severities of COVID-19 was done. Univariate and multivariate analysis were used to determine the correlation between inflammatory state after anti-coagulant with patients’ mortality. Results: Two deaths occurred in moderate cases, 36 deaths in severe cases, and 70 deaths in critical cases on ventilators. On day 13, moderate and severe groups showed decreased WBC, neutrophils, NLR, CRP, and D-dimer (p < 0.05). NLR, CRP, and D-dimer (p<0.05) in critically ill and ventilated patients decreased. Day-13 evaluation revealed 32.73% decrease of inflammatory markers in moderate group; 32.86% in severe patients; and 16.05% in critically ill, ventilated patients. A significant correlation between day 13 inflammatory status with mortality was seen in moderate and critical cases with a ventilator (r=0.337; p< 0.05 and r=0.25; p 0.05). Inflammatory profile on day 6 (adjusted odds ratio [aOR] = 2.36; p < 0.05) and day 13 ([aOR] = 4.15; p < 0.05) was associated with patients’ mortality. Conclusion s : Anticoagulants in COVID-19 patients lower inflammation markers. Evaluating inflammatory status is essential to predict the mortality. Inflammatory markers on day 13, based on the severity of COVID-19 and comorbidities, were associated with mortality in moderate and critical cases.

Background : To date, coronavirus diseases 2019 (COVID-19) has no definitive treatment. Thrombosis and hypercoagulation may occur in the advanced stage. Further study on how to use anticoagulants is still required to promote the best prognosis. Method s : A cross-sectional study of 110 moderate, 140 severe, and 81 critical patients receiving unfractioned heparin (UFH), low-molecular-weight heparin (LMWH), and fondaparinux was conducted. Data were collected from March 15th to August 31st 2020 at Universitas Airlangga and Husada Utama Hospital. A comparative study of white blood cell (WBC), neutrophils, lymphocytes, neutrophil-lymphocyte ratio (NLR), c-reactive protein (CRP), procalcitonin (PCT), D-dimer, all-cause mortality rate, length of stay, and days of death among three severities of COVID-19 was done. Univariate and multivariate analysis were used to determine the correlation between inflammatory state after anti-coagulant with patients’ mortality. Results: Two deaths occurred in moderate cases, 36 deaths in severe cases, and 70 deaths in critical cases on ventilators. On day 13, moderate and severe groups showed decreased WBC, neutrophils, NLR, CRP, and D-dimer (p < 0.05). NLR, CRP, and D-dimer (p<0.05) in critically ill and ventilated patients decreased. Day-13 evaluation revealed 32.73% decrease of inflammatory markers in moderate group; 32.86% in severe patients; and 16.05% in critically ill, ventilated patients. A significant correlation between day 13 inflammatory status with mortality was seen in moderate and critical cases with a ventilator (r=0.337; p< 0.05 and r=0.25; p 0.05). Inflammatory profile on day 6 (adjusted odds ratio [aOR] = 2.36; p < 0.05) and day 13 ([aOR] = 4.15; p < 0.05) was associated with patients’ mortality. Conclusion s : Anticoagulants in COVID-19 patients lower inflammation markers. Evaluating inflammatory status is essential to predict the mortality. Inflammatory markers on day 13, based on the severity of COVID-19 and comorbidities, were associated with mortality in moderate and critical cases.

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 were tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, showed significantly different result in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univariate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly as the disease gets more severe.. Coronary heart disease is an independent predictor of mortality.

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, were significantly different in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univatiate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters were increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly with increasing disease severity. Coronary heart disease is an independent predictor of mortality.

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, were significantly different in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univatiate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters were increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly with increasing disease severity. Coronary heart disease is an independent predictor of mortality.