Mispa count X; The first indigenous indian hematology 3-part analyzer

: Impedance technology was a revolution in the history of Hematology. Mispa Count X is the first indigenous 3-part hematology analyzer in India, which works on the principle of impedance technology. : Performance evaluation of Mispa Count X.: The analyzer produces the measurement results of 18 parameters with throughput of 60 samples per hour. Mispa Count X was compared with benchmark analyzers Coulter DxH 800 and Sysmex XN 1000 to validate its performance. : Mispa Count X exhibited a wide linearity range for WBC, RBC, platelet and hemoglobin. The carry over for WBC, RBC, PLT and Hb was estimated and found to be well within the acceptable limits. The r values (> 0.90) and bias estimation of Mispa Count X on comparing with Coulter DxH 800 and Sysmex XN 1000 were acceptable, except for mid cell counts and for MPV. Mispa Count X exhibited good precision with an acceptable CV% (< 10%). The primary parameters of the stored samples were stable at room temperature for 24 hours. : So we conclude our study by proving that the Mispa Count X would be an affordable-reliable alternative for Indian healthcare sector instead of expensive imported hematology analyzers.

Artificial Intelligence Enabled Reagent-free Imaging Hematology Analyzer

Leukocyte differential test is a widely performed clinical procedure for screening infectious diseases. Existing hematology analyzers require labor-intensive work and a panel of expensive reagents. Here we report an artificial-intelligence enabled reagent-free imaging hematology analyzer (AIRFIHA) modality that can accurately classify subpopulations of leukocytes with minimal sample preparation. AIRFIHA is realized through training a two-step residual neural network using label-free images of isolated leukocytes acquired from a custom-built quantitative phase microscope. By leveraging the rich information contained in quantitative phase images, we not only achieved high accuracy in differentiating B and T lymphocytes, but also classified CD4 and CD8 cells, therefore outperforming the classification accuracy of most current hematology analyzers. We validated the performance of AIRFIHA in a randomly selected test set and cross-validated it across all blood donors. Owing to its easy operation, low cost, and accurate discerning capability of complex leukocyte subpopulations, we envision AIRFIHA is clinically translatable and can also be deployed in resource-limited settings, e.g., during pandemic situations for the rapid screening of infectious diseases. Corresponding author(s) Email: [email protected], [email protected]

PERBEDAAN PROFIL HEMATOLOGI ANTARA SEROTIPE DENGUE PADA PASIEN YANG TERINFEKSI DENGUE DI RSUD DR. H. ABDUL MOELOEK PROVINSI LAMPUNG

Infeksi dengue merupakan salah satu masalah kesehatan yang terjadi di Indonesia. Terdapat 4 serotipe dengue, yaitu DENV-1, DENV-2, DENV-3, dan DENV-4. Empat serotipe tersebut mirip secara antigenetik. Penelitian yang telah ada menunjukkan hasil yang berbeda-beda terhadap faktor penjangkitan infeksi dengue, salah satunya karena faktor populasi serotipe tiap daerah yang bermacam-macam, oleh karenanya perlu dilakukan penelitian di Bandar Lampung untuk melihat keragaman serotipe virus Dengue dan perbandingannya terhadap profil hematologi pasien yang terinfeksi Dengue. Penelitian ini bertujuan untuk mengetahui adakah perbandingan profil hematologi antara serotipe virus dengue pada pasien yang terinfeksi dengue. Jenis penelitian ini menggunakan analitik observasional dengan pendekatan cross sectional. Sampel penelitian adalah pasien terdiagnosis infeksi dengue di RSUD Dr. H. Abdul Moeloek Provinsi Lampung yang berjumlah 37 orang. Alat pengumpulan data yang digunakan pada penelitian ini pada pemeriksaan profil hematologi dilakukan dengan menggunakan alat hematology analyzer dan serotipe dengue dilakukan dengan RT-PCR di laboratorium. Berdasarkan dari hasil penelitian didapatkan dominasi jumlah leukosit diantara 4000-15000 (sel/µl), nilai hematokrit diaantara 37-52% dan kadar hemoglobin diantara 11,5-18 g/dL. Hasil uji Independent T-test terhadap nilai hematokrit dan kadar hemoglobin pada masing-masing serotipe dengue menunjukkan tidak ada perbedaan yang signifikan dengan nilai p>0,05. Hasil uji Mann Whitney yang membandingkan masing-masing serotipe terhadap jumlah leukosit juga menunjukkan tidak ada perbedaan yang signifikan dengan nilai p>0,05. Tidak ada perbandingan yang signifikan pada masing masing serotipe virus dengue terhadap jumlah leukosit, nilai hematokrit maupun kadar hemoglobin.

PENGGUNAAN SIX SIGMA PADA PEMERIKSAAN JUMLAH LEUKOSIT DI RSUD PANEMBAHAN SENOPATI BANTUL

Internal quality assurance is a prevention and control activity that must be carried out by the laboratory continuously and covers all aspects of laboratory examination parameters. Hematology examination in the laboratory is carried out using a Hematology analyzer, but this tool has limitations, one of which is that it can make leukocyte count reading errors. In order for the results of the tool to be reliable, it is necessary to carry out quality control on the hematology analyzer. The use of Westgard multirule is commonly used in laboratories, but the application of six sigma is still very rarely used, especially in the field of hematology. This research aims to know the internal quality control of the analytical stage of the Hematology analyzer for the leukocyte count based on the analysis of Westgard and Six sigma. This type of research is descriptive research. The sample in this study is the control value data for the examination of the leukocyte count for 1 month at Panembahan Senopati Hospital. The data were analyzed using the Westgard rules and Six sigma. At low level, 13s deviation (random error) is obtained. At the normal level, there is a deviation of 12s (warning). At high level 12s deviation is obtained (warning). The sigma scale at all control levels shows a scale above 6. Analysis based on six sigma for leukocyte count showed an average of 7.16 sigma which indicates that leukocyte examination using a hematology analyzer has an accuracy of 99.9%.

Comparison of peripheral blood smear examination with automated haematology analyzer for diagnosing different types of anemia.

Objective: This study aims to determine diagnostic accuracy of peripheral blood smear and automated haematology analyzer and to determine frequency of different types of anemia diagnosed by peripheral blood smear and automated hematology analyzer. Study Design: Cross Sectional study. Setting: Department of Pathology, Rawal Institute of Health Sciences, Islamabad. Period: November 2015 to April 2016. Material & Methods: Sample size of 149 suspected anemia patients was calculated using WHO calculator with 95% confidence interval. Research approval was taken from hospital ethical board. Patients were approached through non probability consecutive sampling method. Both peripheral blood smear examination and automated haematology analysis of each sample was performed. Diagnostic accuracy and frequency of anemia types was measured. Data analysis was done with the help of SPSS version 25. Chi-square and fissure exact test and ROC curve analysis was applied and significant (p<0.05) results were reported. Results: Total 149 patients were included in study. There were 42(28.2%) male and 107(71.8%) female. Mean age of patients was 35.1±2.1SD. Peripheral blood smear and automated haematology analyzer showed sensitivity (68% vs 92%), specificity (59% vs 88%), PPV (72% vs 92%), NPV (55% vs 88%) and diagnostic accuracy (64% vs 91) respectively. Most common type of anemia diagnosed with peripheral blood smear was microcytic hypochromic anemia with raised RDW 36.7% followed by normocytic normochromic anemia with raised RDW 13.3% and macrocytic anemia (p=0.001) while in automated haematology analyzer microc ytic hypochromic anemia with raised RDW54.4% followed by normochromic normocytic anemoia with normal RDW 11.1% (p=0.000). Conclusion: Automated haematyology analyzer had high diagnostic accuracy for diagnosis of anemia. Microcytic hypochromic anemia and normocytic normochromic are most common anemias diagnosed by peripheral blood smear and automated hematology analyzer and peripheral blood smear cannot be completely replaced by automated haemolytic analyzer. However, if both methods are used simultaneously, more accurate results can be obtained.

The utility of basic blood counts, WBC histogram and C-reactive protein in detecting malaria

Background Hematology analyzers display abnormal parameters during malaria infection providing insightful information for suspecting and assessing malaria infection. The goal of this study is to demonstrate the potential of a three-part differential hematology analyzer to assess malaria, provide information about the parasitemia, and discuss the importance of combining C-reactive protein (CRP) with hematology parameters to obtain further information about the malaria infection. Methods The present study shows the results of a case–control study during the monsoon season of years 2018 and 2019 in Mumbai, India. The study considers 1008 non-malaria febrile cases, 209 P. vivax and 31 P. falciparum positive malaria samples, five cases of mixed P. vivax and P. falciparum infection, and three co-infection cases of P. vivax and dengue. Raw data from the three-part analyzer LC-667G CRP (HORIBA) and the corresponding microscopic findings (golden standard for diagnosis of malaria) were obtained for each sample. Results The medians of platelet counts (PLT) were 102.5, 109.0, and 223.0 × 103/µL, while CRP medians were 67.4, 81.4 and 10.4 mg/L in P. vivax, P. falciparum and control groups respectively (p < 0.001 in Mann–Whitney U tests between malaria and control groups). Compared with negative samples, platelets counting less than 161.5 × 103/µL were observed on malaria patients (OR 19.12, 95% CI 11.89–30.75). Especially in P. vivax cases, an abnormal peak was frequently observed in the white blood cells (WBC) histogram around the 37fL channel. The events counted around that channel showed a linear correlation with the counting of red blood cells infected predominantly with larger parasitic forms. Parameters like CRP (rs = 0.325, p < 0.001), WBC (rs = 0.285, p < 0.001) and PLT (rs = − 0.303, p < 0.001) were correlated with the parasitemia of P. vivax samples. Between the malaria and dengue groups, the highest area under the receiver operating characteristic curve was observed on CRP (0.867, CRP ≥ 26.85 mg/L). Conclusions A three-part differential hematology analyzer has the potential to not only trigger malaria diagnosis confirmation but also assess the severity of the infection when CRP is considered.