Hemolysis is the most common reason why coagulation test samples are rejected. However, the effects of hemolysis on plasma prothrombin time (PPT) and activated partial thromboplastin time (APTT) are rarely investigated and the results are controversial. This research aims to analyze the effects of hemolysis on PPT and APPT using the photo-optical method.Nonhemolyzed citrate blood samples (n = 30) with normal PPT and APTT underwent 2-step mechanical lysis and then hemoglobin level measurement was carried out at each step. The first lysis was mild to moderate resulting in a hemoglobin level of <0.8 g/dL. These samples were labeled as group 1. The second step showed more severe lysis, which resulted in a plasma hemoglobin level of ≥0.8 g/dL. These samples were labeled as group 2. Analysis was carried out on the PPT and APTT differences between the 2 groups and baseline, as well as between group 1 and group 2 using repeated-measures analysis of variance (ANOVA). The effects of hemolysis were analyzed using linear regression. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off value in PPT and APTT.Significantly shorter APTT was measured for group 1 than baseline, (P = .000), group 2 than baseline (P = .000), and group 2 than group 1 (P = .003). With regard to PPT results, those for group 1 were significant shorter than baseline (P = .002), while those for group 2 were significantly longer than group 1 (P = .000). In the correlation assay, the level of hemolysis revealed a mildly significant correlation to APTT (R = 0.245; P = .02). Cut-off value for PPT was 1.55 g/dL (100% sensitivity and 87.9% specificity), while the value for APTT was 0.95 g/dL (75% sensitivity and 62.5% specificity).Not all hemolyzed samples should be rejected for PPT and APTT tests using photo-optical methods.
Currently, therapy with Platelet Rich Plasma (PRP)
Several methods have been used to detect infectious respiratory diseases, for example, by taking samples from blood, saliva, and phlegm. Although these methods generated high accuracy, they raised more problems that increased the risk of spreading and required more time to detect. Therefore, an accurate, quick, and low-cost device is required to help detect infectious respiratory diseases. This study proposes a new approach for detecting infectious respiratory diseases using an electronic nose (E-nose) through sweat samples from the human axilla. E-nose became safer by taking samples through the axillary because infectious respiratory diseases are not transmitted through sweat. This study proposes two new feature extraction techniques called stable value and highest slope. This study also proposes a stacked Deep Neural Network (DNN) for effective infectious respiratory disease detection. In the proposed stacked DNN, five fine-tuned DNN models obtained from hyperparameter tuning are stacked then the output of each DNN model became the input of the meta-model in the form of a fully connected layer. The proposed feature extraction method outperformed the existing feature extraction and was able to separate data between classes better. Furthermore, the proposed stacked DNN model generated an accuracy of 0.934 in the testing data, outperforming DNN single models and other state-of-the-art machine learning algorithms.
Background: Peripheral blood smear examination had a pivotal role in determining diagnosis and as confirmation of the automatic hematology analyzer results. The storage process was highly influential on the morphological stability of the cell. This study aimed to assess the morphological changes in blood cells stored at certain period and temperature. Method: Sample of 30 blood specimens of healthy people with dipotassium ethylenediaminetetraacetic acid (K2EDTA) anticoagulants. The specimens were stored at room temperature (18-25ºC) and refrigerator temperature (2-8ºC) and were analyzed at the preliminary examination i.e., 8 hours, 16 hours, 24 hours, 48 hours, 72 hours, and 96 hours. Kappa test was used in validating the reading of PBS (Peripheral Blood Smear). The discrimination testing used were paired t-test and Kolmogorov Smirnov test with p value <0.005, which stated to be significant. Result: The changes in erythrocytes morphology stored at room temperature (18-25ºC) was that the erythrocytes crenation started to happen at 8 hours storage with the grading scale of +2 that were found in 24 (80%) samples, whereas at refrigerator temperature (2-8ºC) the grading scale was +1 and found in 13 (43.3%) samples. Spherocytes on erythrocytes began to form at room temperature (18-25ºC) at 8 hours storage with grading scale of +1 and was found in 2 (6.7%) samples, whereas at refrigerator temperatures (2-8ºC) spherocytes on erythrocytes began to form at 24 hours storage with grading scale of + 2 and was found in 3 (10%) samples.Conclusion: Peripheral blood smear (PBS) examination shall be done immediately to obtain significant results.
Introduction: Considering the high number of acute lymphoblastic leukemia (ALL) and it being the type of cancer with the highest fatality rate among the children, this study seeks to determine the epidemiological description of the clinical and laboratory profiles of patients with ALL.Methods: This research used a descriptive study by using medical data record of patients with ALL. The research variables were gender, age, leukemia history of the patient’s family, nutritional status, symptoms and signs, laboratory examination, ALL subtypes, risk factors, and result outcomes. All data presented descriptively.Results: From a total of 50 patients, 54 % of them were male aged 1,5 – 10 years old. 84% of the patients’ family had no medical record related to leukemia. 42% of the patient malnutrition. Pale (78%), fever (64%), pain (32%), hepatomegaly (38%), lymphadenopathy (28%), splenomegaly (26%), patients with anemia (82%), leukocytosis (38%), thrombocytopenia (54%). The highest types were ALL–LI (68%), SR-ALL (54%), and remission outcome reached 82%.Conclusion: Insidence higher in male, aged 1,5 – 10 years old, malnourished at the start of the diagnosis. Most of the patients’ family had no medical history of leukemia. Symptoms and medical signs mostly appeared were pale, fever, and bone/joint pain. The physical examination showed hepatomegaly, lymphadenopathy, and splenomegaly and laboratory first test showed the patients had anemia, leukocytosis, and thrombocytopenia.
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