School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China. Electronic address: huliang2018@csu.edu.cn.
School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China.
Biocatalysis and Biosensing Laboratory, Department of Food Science and Technology, BOKU-University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria.
Biocatalysis and Biosensing Laboratory, Department of Food Science and Technology, BOKU-University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria.
Biocatalysis and Biosensing Laboratory, Department of Food Science and Technology, BOKU-University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria. roland.ludwig@boku.ac.at.
College of Environmental Science and Engineering, Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, PR China. Electronic address: zgming@hnu.edu.cn.
College of Environmental Science and Engineering, Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, PR China.
College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Environmental Biology and Pollution Control, Hunan University, Ministry of Education, Changsha 410082, PR China.
College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Environmental Biology and Pollution Control, Hunan University, Ministry of Education, Changsha 410082, PR China.
School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China.
School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China.
Pulmonary embolism is one of the acute diseases of the respiratory system. This study investigates changes in red blood cell counts in pulmonary embolisms confirmed by scintigraphy. Counting red blood...
Neurofibromatosis type 1 (NF1), also known as von Recklinghausen disease, is an autosomal dominant disease characterized by neurofibromas with infiltration of mast cells. Neutrophil-to-lymphocyte rati...
Neonatal sepsis is one of the leading causes of neonatal morbidity and mortality in developing countries like Ethiopia. The investigation of neonatal sepsis needs the application of inclusive diagnost...
A comparative cross-sectional study was conducted from September 2020 to November 2021 at the University of Gondar Comprehensive Specialized Hospital. A total of 250 neonates were included using a con...
Out of 250 study participants, 144 (57.6%) were males, with a median age of 6 days (IQR = 4 days). Early-onset and late-onset sepsis were developed in about 29.6% (37/250) and 70.4% (88/250) of the ne...
Total leucocyte count, ANC, and platelet count all showed significant associations with neonatal sepsis. Besides, the TLC, ANC, and platelet counts had good sensitivity and specificity in diagnosing n...
Introduction: Malaria continues to be the leading cause of hospitalization and death in Angola, a country in sub- Saharan Africa. In 2023, in the first quarter, 2,744,682 cases were registered, and of...
We investigated changes in the blood count according to blood groups (ABO/Rh) and sickle cell trait in patients with malaria in Luanda, capital of Angola....
This was a longitudinal, prospective and observational study with 198 patients hospitalized for malaria....
Of the 198 patients studied, 13(6.6%) were ABRh(+), 4(2.0%) were ARh(-), 49(24.7%) were ARh(+), 42(21, 2%) were BRh (+), 5(2.5%) were ORh(-) and 85(42.9%) were ORh(+). For sickle cell trait, 145(73.2%...
It is imperative to differentiate patients with malaria based on blood groups and sickle cell trait, taking into account mainly the blood count parameters that demonstrate that there are patients who,...
Children with Down syndrome (DS) are more likely to have hematologic and immunologic abnormalities compared to their typically developing peers, but normal ranges have not been defined. The goal of th...
A retrospective investigation of 355 (male = 196, 55.2%; mean age = 6.49 years, SD = 5.07) healthy pediatric patients with DS who received a CBC between 2011 and 2017 as part of their medical care at ...
Age-related normative curves for healthy children with DS outlining 2.5th, 25th, 50th, 75th, and 97.5th percentiles are provided for total white blood count, hemoglobin concentration, hematocrit, mean...
This study demonstrates that patients with DS have different reference ranges for multiple blood counts compared to those without DS, creating a new resource for pediatricians to refer to when evaluat...
A major barrier for proceeding to autologous stem cell transplantation (ASCT) is an inability to mobilize and collect an adequate number of peripheral blood (PB) stem cells (PBSC) for the transplant g...
Aim This study aimed to evaluate the potential relationships between atrial fibrillation (AF) and hematological indices, such as neutrophil / lymphocyte ratio (NLR), mean platelet volume (MPV), platel...
Systemic inflammation factors (e.g. white blood cells and neutrophils), high level of triglyceride and high neutrophil-to-lymphocyte ratio have significant associations with the risk of polypoidal cho...
This study aimed to investigate associations of complete blood cell count-derived indicators and serum lipid levels with PCV....
Forty-eight patients with PCV and 54 age- and gender-matched control group participants were included in the study. Records of demographic characteristics and the results of ophthalmic examinations an...
The PCV group had higher white blood cell, neutrophils, triglyceride, and neutrophil-to-lymphocyte ratio levels and lower mean corpuscular volume level, compared with the control group (...
White blood cells, neutrophils, triglycerides, and the neutrophil-to-lymphocyte ratio were the risk factors for PCV. Mean corpuscular volume was a protective factor against PCV. These results suggeste...
Point-of-care testing (POCT) of blood cell count (BCC) is an emerging approach that allows laypersons to identify and count whole blood cells through simple manipulation. To date, POCTs for BCC were m...
Bacteremia is a life-threatening complication of infectious diseases. Bacteremia can be predicted using machine learning (ML) models, but these models have not utilized cell population data (CPD)....
The derivation cohort from emergency department (ED) of China Medical University Hospital (CMUH) was used to develop the model and was prospectively validated in the same hospital. External validation...
This study included 20,636 patients from CMUH, 664 from WMH, and 1622 patients from ANH. Another 3143 patients were included in the prospective validation cohort of CMUH. The CatBoost model achieved a...
ML model that incorporated CBC, DC, and CPD showed excellent performance in predicting bacteremia among adult patients with suspected bacterial infections and blood culture sampling in emergency depar...
