scholarly journals Modification of the Use of Bayesian Recognition Procedures for Inflammatory Processes in Gliomas, Metastasis and Meningiomas by Indicators of Erythrocyte Sedimentation Rate

2021 ◽  
pp. 57-62
Author(s):  
A.L. Tarasov ◽  
A.M. Gupal ◽  
N.Ya. Gridina
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Diagnostic Methods ◽  
Healthy People ◽  
Recognition Procedure ◽  
Erythrocyte Sedimentation ◽  
Inflammatory Processes ◽  
Recognition Efficiency

Introduction. The article discusses the application of Bayesian recognition procedures with one independent feature in relation to the erythrocyte sedimentation rate data taken from patients with gliomas, metastases, meningiomas, traumatic brain injury and from a group of healthy people. Purpose of the article. Analysis of erythrocyte sedimentation rate indicators using optimal recognition procedures. Results. In earlier articles by the authors, a similar work was described, however, due to the fact that the erythrocyte sedimentation rate was measured in different concentrations of pharmaceuticals and due to the receipt of new data structures, it was possible to increase the efficiency of the recognition procedures by 3-4%. The maximum recognition efficiency of almost 90% was achieved in the differential diagnosis of gliomas in relation to traumatic brain injury and the use of a substance supplemented with chlorpromazine. When recognizing inflammatory processes in patients with metatsases in relation to a group of healthy people, the efficiency of the recognition procedure was 88% using NaATF with a dilution of 1:10. We also note a 4% increase in the recognition efficiency of conditionally benign grade II gliomas, i.e. the efficiency of recognition of the development of gliomas in the early stages increased. Also in this work, it was possible to identify inflammatory processes in benign extracerebral tumors - meningiomas. The effectiveness of this recognition in relation to a group of healthy people was 83%. Conclusions. New results of recognition of inflammatory processes in brain gliomas have been obtained, on the basis of which an auxiliary diagnostic tool has been improved in gliomas, metastases and meningiomas. This diagnostic method becomes especially valuable in cases where modern imaging diagnostic methods are not able to determine the presence of a tumor in a patient, as well as in the postoperative period with indulgent tumor growth. Keywords: Bayesian recognition procedure, gliomas, metastases, meningiomas, erythrocyte sedimentation rate, complex parameter.

scholarly journals Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio Correlations with C-reactive Protein and Erythrocyte Sedimentation Rate in Traumatic Brain Injury

2020 ◽  
Vol 8 (B) ◽  
pp. 1185-1192
Author(s):  
Gede Febby Pratama Kusuma ◽  
Sri Maliawan ◽  
Tjokorda Gde Bagus Mahadewa ◽  
Tjokorda Gde Agung Senapathi ◽  
Anak Agung Wiradewi Lestari ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Neutrophil To Lymphocyte Ratio ◽  
C Reactive Protein ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Erythrocyte Sedimentation

BACKGROUND: Immune system and inflammatory response play an essential role in the development of secondary brain injury (SBI) after traumatic brain injury (TBI). An inflammatory biomarker that can reflect the SBI severity is needed to increase the effectivity of TBI management and prevent morbidity and mortality post-TBI. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), which are more affordable than C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), theoretically have the potential to be used as a marker of the SBI severity. However, NLR and PLR in daily medical practice are not yet fully utilized. AIM: The aim of the study was to correlate NLR and PLR with CRP and ESR as a marker of SBI severity post-TBI. METHODS: This cross-sectional study was conducted at Sanglah Hospital Denpasar from January to April 2020. Patients diagnosed with TBI were included in this study by consecutive sampling. The blood samples were taken at 24-h post-TBI to obtain the NLR, PLR, CRP, and ESR results. Spearman’s correlation test was conducted to determine the correlation between NLR and PLR with CRP and ESR. RESULTS: Eighty-five patients were included in data analysis. Median ± (interquartile range) of the NLR, PLR, CRP, and ESR were 7.60 ± (6.83), 145.58 ± (76.95), 60.83 ± (66.3), and 12.50 ± (13.85) consecutively. NLR and PLR had a significant positive correlation with CRP (r = 0.472, **p < 0.01; r = 0.283, **p < 0.01 consecutively). But, NLR and PLR were not correlated with ESR. CONCLUSION: NLR and PLR can become a useful and more affordable marker for reflecting the SBI severity in acute TBI.

scholarly journals Bayesian Recognition Procedures with Independent Signs of Inflammatory Processes in Gliomas, Metastases and Meningiomas by Indicators of Erythrocyte Sedimentation Rate

2021 ◽  
pp. 34-42
Author(s):  
Andrii Tarasov
Keyword(s):  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Brain Cancer ◽  
Preoperative Period ◽  
New Model ◽  
Erythrocyte Sedimentation ◽  
Single Substance ◽  
Inflammatory Processes ◽  
Recognition Efficiency ◽  
First Time

Introduction. The article discusses the application of Bayesian recognition procedures with independent signs in relation to the data of the modified erythrocyte sedimentation rate, which were taken from patients with gliomas, metastases, meningiomas, craniocerebral concussion and from a group of healthy people. Purpose of the article. Improving the efficiency of recognition of inflammatory processes in gliomas, metastases and meningiomas by indicators of erythrocyte sedimentation rate using optimal recognition procedures with independent signs. Results. In previous articles by the authors, an attempt was made to recognize inflammatory processes by indicators of the modified erythrocyte sedimentation rate caused by brain cancer using Bayesian recognition procedures based on a single substance. In this work, a new model was built using several independent signs (different substances) at once. The results obtained on the basis of the new model significantly increased their efficiency in relation to the models that were used earlier. Such an increase in all comparisons ranged from 3 to 12 %, and up to almost 94 %. If earlier it was possible to recognize only combinations of diagnoses in which there were no more than two diagnoses, then in this work for the first time it was possible to recognize three diagnoses at once. At the same time, the recognition efficiency became slightly more than 70 %. An attempt was also made to recognize more than three diagnoses, but the new model did not give significant results, slightly exceeding 50 % when recognizing four diagnoses at once. Conclusions. Thanks to the use of Bayesian recognition procedures with independent signs, it was possible to significantly increase the recognition of inflammatory processes caused by brain cancer. The modified erythrocyte sedimentation rate, which is an auxiliary tool in the diagnosis of gliomas, allows one or another pathology to be determined in the preoperative period, since the pathology is finally determined only when studying a surgically removed tumor. In the postoperative period, such a modification is an indicator of repeated recurrence of gliomas. It was also possible to significantly increase the recognition of inflammatory processes caused by non-oncological disease (traumatic brain injury) in relation to oncological processes in gliomas, metastases and meningiomas. Keywords: Bayesian recognition procedure, independent signs, gliomas, metastases, meningiomas, modified erythrocyte sedimentation rate, complex parameter.

scholarly journals Role of Monocyte-to-lymphocyte Ratio, Mean Platelet Volume-to-Platelet Count Ratio, C-Reactive Protein and Erythrocyte Sedimentation Rate as Predictor of Severity in Secondary Traumatic Brain Injury: A Literature Review

2021 ◽  
Vol 9 (F) ◽  
pp. 574-583
Author(s):  
Tjokorda Istri Sri Dalem Natakusuma ◽  
Tjokorda Gde Bagus Mahadewa ◽  
Putu Eka Mardhika ◽  
Sri Maliawan ◽  
Tjokorda Gde Agung Senapathi ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Platelet Count ◽  
Brain Injury ◽  
Literature Review ◽  
Sedimentation Rate ◽  
Mean Platelet Volume ◽  
C Reactive Protein ◽  
Platelet Volume ◽  
Reactive Protein ◽  
Erythrocyte Sedimentation

BACKGROUND: Secondary traumatic brain injury (TBI) is injury to the brain following primary TBI because of neuroinflammation as consequences of neuronal and glial cell injury which cause release of various inflammation cytokine and chemokine. Biomarker examination to predict the severity of secondary TBI is important to provide appropriate treatment to the patient. This article reviews possibility several common laboratory parameter such as monocyte-to-lymphocyte ratio (MLR), mean platelet volume-to-platelet count (PC) ratio (MPV-PCR), c-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) to predict severity of secondary TBI. LITERATURE REVIEW: TBI activates microglia which increase infiltration and proliferation of monocyte. Neuroinflammation also increases thrombopoiesis which leads to increase megakaryocytes production. In the other hand, due to disruption of brain blood vessels because of trauma, coagulation cascade is also activated and leads to consumptive coagulopathy. These are reflected as high monocyte count, low PC, and high MPV. Lymphocyte count is reported low in TBI especially in poor outcome patients. CRP is an acute phase reactant that increased in inflammation condition. In TBI, increased production of Interleukin-6 leads to increase CRP production. In head injured patients, ESR level does not increase significantly in the acute phase of inflammation but last longer when compared to CRP. CONCLUSION: MLR, MPV-PCR, CRP, and ESR could be predictor of severity in secondary TBI.

Prognostic Value of Erythrocyte Sedimentation Rate in Patients with Colorectal Cancer

2008 ◽  
Vol 24 (5) ◽  
pp. 351
Author(s):  
Young Ki Kim ◽  
Seong Woo Hong ◽  
Jung Woo Chun ◽  
Yeo Goo Chang ◽  
In Wook Paik ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Prognostic Value ◽  
Erythrocyte Sedimentation

Diagnostic value of procalcitonin, erythrocyte sedimentation rate (ESR), quantitative C-reactive protein (CRP) and clinical findings associated with osteomyelitis in patients with diabetic foot

2021 ◽  
pp. 1-7
Author(s):  
Zahra Soleimani ◽  
Fatemeh Amighi ◽  
Zarichehr Vakili ◽  
Mansooreh Momen-Heravi ◽  
Seyyed Alireza Moravveji
Keyword(s):  
Erythrocyte Sedimentation Rate ◽  
Sedimentation Rate ◽  
Roc Curve ◽  
Diabetic Foot ◽  
Diagnostic Value ◽  
Clinical Findings ◽  
Diabetic Patients ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Erythrocyte Sedimentation

BACKGROUND: The diagnosis of osteomyelitis is a key step of diabetic foot management. Procalcitonin (PCT) is a novel infection marker. This study aimed to investigate the diagnostic value of procalcitonin and other conventional infection markers and clinical findings in diagnosis of osteomyelitis in diabetic foot patients. METHODS AND MATERIALS: This diagnostic value study was carried out on ninety patients with diabetic infected foot ulcers admitted in Kashan Beheshti Hospital, 2016. After obtaining consent, 10 cc blood sample was taken for measuring serum PCT, CBC, ESR, CRP and FBS. Clinical characteristics of the wounds were noted. Magnetic resonance imaging of the foot was performed in all patients to diagnose osteomyelitis. All statistical analyses were done with the use of SPSS-16. RESULTS: PCT levels were 0.13 ± 0.02 ng/mili patients with osteomyelitis (n= 45) and 0.04 ± 0.02 ng/ml in patients without osteomyelitis (n= 45). PCT, Erythrocyte sedimentation rate and C-reactive protein was found significantly higher in patients with osteomyelitis (p< 0.001). The ROC curve was calculated for PCT. The area under the ROC curve for infection identification was 1 (p< 0.001). The best cut-off value for PCT was 0.085 ng/ml. Sensitivity, specificity, and positive and negative predictive values were 100%, 97.8%,97.8% and 100%, respectively. CONCLUSION: In this group of patients, PCT was useful to discriminate patients with bone infection. Also, Erythrocyte sedimentation rate and C-reactive protein can be used as a marker of osteomyelitis in diabetic patients.

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