The last decade has seen the emergence of progressively more complex mechanobiological models, often coupling biochemical and biomechanical components. The complexity of these models makes interpretation difficult, and although computational tools can solve model equations, there is considerable potential value in a simple method to explore the interplay between different model components. Pump and system performance curves, long utilized in centrifugal pump selection and design, inspire the development of a graphical technique to depict visually the performance of biochemically-coupled mechanical models. Our approach is based on a biochemical performance curve (analogous to the classical pump curve) and a biomechanical performance curve (analogous to the system curve). Upon construction of the two curves, their intersection, or lack thereof, describes the coupled model's equilibrium state(s). One can also observe graphically how an applied perturbation shifts one or both curves, and thus how the other component will respond, without rerunning the full model. While the upfront cost of generating the performance curve graphic varies with the efficiency of the model components, the easily interpretable visual depiction of what would otherwise be nonintuitive model behavior is valuable. Herein, we outline how performance curves can be constructed and interpreted for biochemically-coupled biomechanical models and apply the technique to two independent models in the cardiovascular space. The performance curve approach can illustrate and help identify weaknesses in model construction, inform user-applied perturbations and fitting procedures to generate intended behaviors, and improve the efficiency of the model generation and application process.
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http://dx.doi.org/10.1115/1.4064970 | DOI Listing |
Eur J Clin Microbiol Infect Dis
January 2025
Faculdade de Medicina, Laboratório de Parasitologia, Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
This study aimed to standardize qPCR techniques using these molecular markers kDNA and 18S rDNA across three sample types: peripheral blood, guanidine-treated blood, and tissue. The secondary objective is to evaluate the performance of 18S rDNA target in samples from 46 patients with confirmed tegumentary leishmaniasis. After obtaining the standard curve from reference strains with Leishmania, qPCR curves were standardizations and the Cts results of the patient samples were described using abstract measures.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Kobayashi Hospital, 510 Imaichi, Izumo City, Shimane, 693-0001, Japan.
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with aneurysmal subarachnoid hemorrhage (SAH) have been documented. While a predictive model of the non-linear correlation between advanced age and clinical outcome has been reported, no previous model has been validated. Therefore, we created a prediction model of the non-linear correlation between advanced age and clinical outcome by machine learning and validated it using a separate cohort.
View Article and Find Full Text PDFBackground: Polysomnography (PSG) is resource-intensive but remains the gold standard for diagnosing Obstructive Sleep Apnea (OSA). We aimed to develop a screening tool to better allocate resources by identifying individuals at higher risk for OSA, overcoming limitations of current tools that may under-diagnose based on self-reported symptoms.
Methods: A total of 884 patients (490 diagnosed with OSA) were included, which was divided into the training, validation, and test sets.
Clin Rheumatol
January 2025
Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, 250012, China.
Objective: We aimed to develop a useful nomogram for early identification of Kawasaki disease (KD) children at a high risk of intravenous immunoglobulin (IVIG) resistance and coronary artery lesion (CAL) complications to improve KD management.
Methods: Clinical data from 400 patients treated at our hospital between January 1, 2016, and December 31, 2023, were collected. Lasso regression was utilized to screen risk factors for IVIG resistance and CAL involvement.
Background: The aim of this study was to explore the value of heparin-binding protein (HBP) in the early recognition of sepsis coagulopathy (SIC) and the prognosis of sepsis patients.
Methods: A retrospective analysis was performed for 139 patients with sepsis admitted to the Intensive Care Unit (ICU) of Hefei Third People's Hospital from April 2022 through April 2024. The clinical baseline data, disease scores [sequential organ failure (SOFA) score, acute physiology and chronic health status (APACHE II) score, and SIC score], inflammatory markers [HBP, procalcitonin (PCT), and interleukin 6 (IL-6)], coagulation-related indexes [platelet count (PLT), prothrombin time (PT), prothrombin time international normalized ratio (PT-INR), activated partial thromboplastin time (APTT), fibrinogen (Fib), and D dimer (D-D)], and the survival time and 28-day prognosis of all patients were observed.
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