scholarly journals Cross Sectional Study Comparing Peripheral Blood Smear and Rapid Antigen Detection Test in Diagnosis of Malaria Conducted During Monsoon and Post Monsoon Period at Ballari, India

Author(s):  
B. Vishalakshi J. Mariraj ◽  
S. Liba S. Krishna
2020 ◽  
Vol 9 (2) ◽  
pp. 151-158
Author(s):  
Budi Santosa ◽  
Herlisa Anggraini ◽  
Ika Dyah Mawarni ◽  
Niza Muliatun ◽  
Ardiansyah Nugroho ◽  
...  

Erythrocyte index can form erythrocyte morphology in the peripheral blood smear preparation. Lead exposure in Tambaklorok exceeds the threshold that affects anemia. The purpose of this study was to determine the erythrocyte index confirmation with erythrocyte morphology in the peripheral blood smear preparation. A cross-sectional study was conducted in 2month in Tambaklorok Semarang residents and 104 samples were taken using the purposive technique. Erythrocyte index was measured using the hematological analyzer and erythrocyte morphology in the peripheral blood smear preparation using Giemsa painting. Erythrocyte index confirmation with the peripheral blood smear preparation was analyzed using the Gamma statistical relationship test. The results showed that the erythrocyte index value was mostly in the normal category, i.e., MCH 68 (64.4%), MCHC 61 (58.6%) and MCH 58 (56%) and below normal category were MCH 45 (42.95%), MCHC 41 (39.4%), and MCV 36 (34.3%). Erythrocyte morphology was mostly hypochromic, namely 46 (44.23%), normochrome 40 (38.46%), and hyperchrome 18 (17.3%). Relationship of MCH with erythrocyte color p-value 0.037 with size p-value 0.038. Conclusion of erythrocyte index confirmation, especially MCH with the peripheral blood smear preparation, there was a match on the color and size of erythrocytes, while the MCV and MCHC values had no significant relationship.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xingrui Wang ◽  
Qinglin Che ◽  
Xiaoxiao Ji ◽  
Xinyi Meng ◽  
Lang Zhang ◽  
...  

Abstract Background Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in COVID-19 and to analyse its underlying mechanism. Methods Chest high-resolution computer tomography (CT) images and laboratory examination data of 31 patients with COVID-19 were extracted, and the lesion areas in CT images were quantitatively segmented and calculated using a deep learning (DL) system. A cross-sectional study method was carried out to explore the differences among the proportions of lung lobe infection and to correlate the percentage of infection (POI) of the whole lung in all patients with clinical laboratory examination values. Results No significant difference in the proportion of infection was noted among various lung lobes (P > 0.05). The POI of total lung was negatively correlated with the peripheral blood lymphocyte percentage (L%) (r = − 0.633, P < 0.001) and lymphocyte (LY) count (r = − 0.555, P = 0.001) but positively correlated with the neutrophil percentage (N%) (r = 0.565, P = 0.001). Otherwise, the POI was not significantly correlated with the peripheral blood white blood cell (WBC) count, monocyte percentage (M%) or haemoglobin (HGB) content. In some patients, as the infection progressed, the L% and LY count decreased progressively accompanied by a continuous increase in the N%. Conclusions Lung lesions in COVID-19 patients are significantly correlated with the peripheral blood lymphocyte and neutrophil levels, both of which could serve as prognostic indicators that provide warning implications, and contribute to clinical interventions in patients.


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