Routine blood tests are a basic screening tool for serious pathology

Siau, Keith

doi:10.1136/bmj.j2675

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…In general, hematological parameters tests are the basic means of the pathology of the organism. 82 Bacterial infections often cause an abnormal proliferation of leukocytes. 83,84 In this study, it was found that the WBC in all groups was within the normal range.…”

Section: Groupsmentioning

confidence: 99%

Evaluation of probiotic properties of a Brevibacillus laterosporus strain

Cao,

Wang,

Dai

et al. 2024

The FASEB Journal

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Brevibacillus laterosporus is a strain of probiotic bacteria that has been widely used in pest control, cash crop, and other production areas. However, few studies have been conducted on its use as a feed additive in animals. Therefore, the probiotic potential of B. laterosporus PBC01 was evaluated by characterizing hydrophobicity, auto‐aggregation activity, bile salt and simulated gastrointestinal fluid tolerance, bienzymatic, and antibacterial activity. Antibiotic susceptibility, hemolysis assays, and supplemental feeding of mice were also performed to evaluate safety features. Our results showed that B. laterosporus PBC01 had moderate hydrophobicity, high auto‐agglutination ability. Meanwhile, B. laterosporus PBC01 had good tolerance to bile salt and simulated gastrointestinal fluid. It had the ability to secrete protease, cellulase, and to inhibit various pathogens. In addition, B. laterosporus PBC01 was sensitive to many antibiotics, and did not produce hemolysin. In the safety assessment of mice, it did not cause any deaths, nor did it affect the cell components of blood, antioxidant capacity, and reproductive health. The study indicated the great probiotic characteristics and safety of B. laterosporus PBC01. This may provide a theoretical basis for the clinical application and development of probiotic‐based feed additives.

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Section: Groupsmentioning

confidence: 99%

Evaluation of probiotic properties of a Brevibacillus laterosporus strain

Cao,

Wang,

Dai

et al. 2024

The FASEB Journal

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Cost-effective prognostic evaluation of breast cancer: using a STAR nomogram model based on routine blood tests

Wei,

Liang,

et al. 2024

Front. Endocrinol.

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BackgroundBreast cancer (BC) is the most common and prominent deadly disease among women. Predicting BC survival mainly relies on TNM staging, molecular profiling and imaging, hampered by subjectivity and expenses. This study aimed to establish an economical and reliable model using the most common preoperative routine blood tests (RT) data for survival and surveillance strategy management.MethodsWe examined 2863 BC patients, dividing them into training and validation cohorts (7:3). We collected demographic features, pathomics characteristics and preoperative 24-item RT data. BC risk factors were identified through Cox regression, and a predictive nomogram was established. Its performance was assessed using C-index, area under curves (AUC), calibration curve and decision curve analysis. Kaplan-Meier curves stratified patients into different risk groups. We further compared the STAR model (utilizing HE and RT methodologies) with alternative nomograms grounded in molecular profiling (employing second-generation short-read sequencing methodologies) and imaging (utilizing PET-CT methodologies).ResultsThe STAR nomogram, incorporating subtype, TNM stage, age and preoperative RT data (LYM, LYM%, EOSO%, RDW-SD, P-LCR), achieved a C-index of 0.828 in the training cohort and impressive AUCs (0.847, 0.823 and 0.780) for 3-, 5- and 7-year OS rates, outperforming other nomograms. The validation cohort showed similar impressive results. The nomogram calculates a patient’s total score by assigning values to each risk factor, higher scores indicating a poor prognosis. STAR promises potential cost savings by enabling less intensive surveillance in around 90% of BC patients. Compared to nomograms based on molecular profiling and imaging, STAR presents a more cost-effective, with potential savings of approximately $700-800 per breast cancer patient.ConclusionCombining appropriate RT parameters, STAR nomogram could help in the detection of patient anemia, coagulation function, inflammation and immune status. Practical implementation of the STAR nomogram in a clinical setting is feasible, and its potential clinical impact lies in its ability to provide an early, economical and reliable tool for survival prediction and surveillance strategy management. However, our model still has limitations and requires external data validation. In subsequent studies, we plan to mitigate the potential impact on model robustness by further updating and adjusting the data and model.

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Routine blood tests are a basic screening tool for serious pathology

Cited by 2 publications

References 2 publications

Evaluation of probiotic properties of a Brevibacillus laterosporus strain

Evaluation of probiotic properties of a Brevibacillus laterosporus strain

Cost-effective prognostic evaluation of breast cancer: using a STAR nomogram model based on routine blood tests

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