30 results about "Clinical variables" patented technology

A computer implemented method of determining a clinical variables utilizing an insulin pump that includes initiating blood glucose measurements, initiating ingestion of carbohydrates and receiving input data based on the blood glucose measurements and the ingestion of carbohydrates and utilizing the data to calculate clinical variables. The invention may include presenting instructions to a patient to take various actions and to input various data. The clinical variables determined may be stored in memory and then used to calculate insulin doses and to send a signal to an insulin pump to infuse the insulin dose calculated.

Compositions and methods are provided for diagnosis and / or prognosis of cardiovascular diseases or events in a subject. In some embodiments, the method includes measuring and comparing the level of particular proteins to other proteins. In other embodiments, the method includes comparison with clinical variable information.

A method for prognosing a rheumatoid arthritis phenotype using the outcomes of selected single nucleotide polymorphisms (SNPs) and clinical variables. A method for genotyping multiple rheumatoid arthritis associated genetic variations comprising use of a DNA microrarray. A microarray for use in the described methods.

The invention relates to a mechanical ventilation system for respiration of a patient, the system being adapted for providing decision support for mechanical ventilation. Control means is adapted for using both first data and second data, indicative of the respiratory feedback in the blood, in physiological models (MOD) descriptive of, at least, lung mechanics, and / or gas exchange in the lungs of the patient, the physiological models comprising a number of model parameters (MOD_P). The control means is further arranged for simulating the effect on one, or more, model parameters (MOD_P) of the physiological models for a suggested value of the positive end expiratory pressure (PEEP) setting for the ventilation means, and thereby provide decision support in relation to said suggested PEEP value. The invention is advantageous for providing mathematical based models of changes in physiology in response to changes in ventilator settings of the PEEP thereby allowing mathematical physiological models to predict changes in clinical variables for a given value of PEEP.

A method for prognosing osteoporosis phenotypes or estimating osteoporosis quantitative traits comprising determining outcomes for selected SNP variables and clinical variables. Products and methods for genotyping multiple osteoporosis associated genetic variations.

A novel use of the known protein erythropoietin (EPO), and / or a derivative, and / or a fragment thereof, is disclosed. EPO is used as a pharmaceutical for the treatment of chronic inflammations. A particularly beneficial result is seen in patients suffering from rheumatoid arthritis (RA). Significant effects are seen in clinical variables such as morning stiffness, swollen joints, and the like.

A system and method are provided that employ the variability of physiological waveforms to estimate the time to death after WLST, or time to inadequate organ perfusion. From the variability data one can derive an index subsequently used to determine the probability of death (or inadequate organ perfusion) within a given time frame in an automated fashion from bedside monitors in the intensive or post-anesthesia care unit. The resulting variability index can also be combined with the clinical variables used in other death prediction tools to enhance the performance and outcome when compared to existing models. In at least one implementation, variability monitoring at the bedside could be used to provide estimates of the probability that a patient will die within a certain time frame after WLST. These estimates could be used to reduce the distress of the patients' families, as well as optimize the use of resources surrounding donation.

Embodiments include systems and methods for determining cardiovascular information of a patient. A method includes receiving patient-specific data regarding the geometry of the patient's vasculature; creating an anatomical model representing at least a portion of the patient's vasculature based on the patient-specific data; and based on the anatomical model Create computational models of blood flow properties. The method also includes identifying one or more of an uncertain parameter, an uncertain clinical variable, and an uncertain geometry; modifying a probabilistic model; determining blood flow properties within the patient's vasculature based on the anatomical model of the patient's vasculature and the computational model of the blood flow properties; and based on the probabilistic model and The determined flow characteristics are used to calculate the sensitivity of the determined fractional flow reserve to one or more of the identified uncertain parameters, uncertain clinical variables, or uncertain geometries.