BACKGROUND:Blood pressure(BP)monitoring is essential for patient care.Invasive arterial BP(IABP)is more accurate than non-invasive BP(NIBP),although the clinical signifi cance of this diff erence is unknown.We hypothe...BACKGROUND:Blood pressure(BP)monitoring is essential for patient care.Invasive arterial BP(IABP)is more accurate than non-invasive BP(NIBP),although the clinical signifi cance of this diff erence is unknown.We hypothesized that IABP would result in a change of management(COM)among patients with non-hypertensive diseases in the acute phase of resuscitation.METHODS:This prospective study included adults admitted to the Critical Care Resuscitation Unit(CCRU)with non-hypertensive disease from February 1,2019,to May 31,2021.Management plans to maintain a mean arterial pressure>65 mmHg(1 mmHg=0.133 kPa)were recorded in real time for both NIBP and IABP measurements.A COM was defined as a discrepancy between IABP and NIBP that resulted in an increase/decrease or addition/discontinuation of a medication/infusion.Classification and regression tree analysis identified significant variables associated with a COM and assigned relative variable importance(RVI)values.RESULTS:Among the 206 patients analyzed,a COM occurred in 94(45.6%[94/206])patients.The most common COM was an increase in current infusion dosages(40 patients,19.4%).Patients receiving norepinephrine at arterial cannulation were more likely to have a COM compared with those without(45[47.9%]vs.32[28.6%],P=0.004).Receiving norepinephrine(relative variable importance[RVI]100%)was the most signifi cant factor associated with a COM.No complications were identifi ed with IABP use.CONCLUSION:A COM occurred in 94(45.6%)non-hypertensive patients in the CCRU.Receiving vasopressors was the greatest factor associated with COM.Clinicians should consider IABP monitoring more often in non-hypertensive patients requiring norepinephrine in the acute resuscitation phase.Further studies are necessary to confi rm the risk-to-benefi t ratios of IABP among these high-risk patients.展开更多
This paper deals with a stochastic approach based on the principle of the maximum entropy to investigate the effect of the parameter random uncertainties on the arterial pressure. Motivated by a hyperelastic, anisotro...This paper deals with a stochastic approach based on the principle of the maximum entropy to investigate the effect of the parameter random uncertainties on the arterial pressure. Motivated by a hyperelastic, anisotropic, and incompressible constitutive law with fiber families, the uncertain parameters describing the mechanical behavior are considered. Based on the available information, the probability density functions are attributed to every random variable to describe the dispersion of the model parameters. Numerous realizations are carried out, and the corresponding arterial pressure results are compared with the human non-invasive clinical data recorded over a mean cardiac cycle. Furthermore, the Monte Carlo simulations are performed, the convergence of the probabilistic model is proven. The different realizations are useful to define a reliable confidence region, in which the probability to have a realization is equM to 95%. It is shown through the obtained results that the error in the estimation of the arterial pressure can reach 35% when the estimation of the model parameters is subjected to an uncertainty ratio of 5%. Finally, a sensitivity analysis is performed to identify the constitutive law relevant parameters for better understanding and characterization of the arterial wall mechanical behaviors.展开更多
文摘BACKGROUND:Blood pressure(BP)monitoring is essential for patient care.Invasive arterial BP(IABP)is more accurate than non-invasive BP(NIBP),although the clinical signifi cance of this diff erence is unknown.We hypothesized that IABP would result in a change of management(COM)among patients with non-hypertensive diseases in the acute phase of resuscitation.METHODS:This prospective study included adults admitted to the Critical Care Resuscitation Unit(CCRU)with non-hypertensive disease from February 1,2019,to May 31,2021.Management plans to maintain a mean arterial pressure>65 mmHg(1 mmHg=0.133 kPa)were recorded in real time for both NIBP and IABP measurements.A COM was defined as a discrepancy between IABP and NIBP that resulted in an increase/decrease or addition/discontinuation of a medication/infusion.Classification and regression tree analysis identified significant variables associated with a COM and assigned relative variable importance(RVI)values.RESULTS:Among the 206 patients analyzed,a COM occurred in 94(45.6%[94/206])patients.The most common COM was an increase in current infusion dosages(40 patients,19.4%).Patients receiving norepinephrine at arterial cannulation were more likely to have a COM compared with those without(45[47.9%]vs.32[28.6%],P=0.004).Receiving norepinephrine(relative variable importance[RVI]100%)was the most signifi cant factor associated with a COM.No complications were identifi ed with IABP use.CONCLUSION:A COM occurred in 94(45.6%)non-hypertensive patients in the CCRU.Receiving vasopressors was the greatest factor associated with COM.Clinicians should consider IABP monitoring more often in non-hypertensive patients requiring norepinephrine in the acute resuscitation phase.Further studies are necessary to confi rm the risk-to-benefi t ratios of IABP among these high-risk patients.
文摘This paper deals with a stochastic approach based on the principle of the maximum entropy to investigate the effect of the parameter random uncertainties on the arterial pressure. Motivated by a hyperelastic, anisotropic, and incompressible constitutive law with fiber families, the uncertain parameters describing the mechanical behavior are considered. Based on the available information, the probability density functions are attributed to every random variable to describe the dispersion of the model parameters. Numerous realizations are carried out, and the corresponding arterial pressure results are compared with the human non-invasive clinical data recorded over a mean cardiac cycle. Furthermore, the Monte Carlo simulations are performed, the convergence of the probabilistic model is proven. The different realizations are useful to define a reliable confidence region, in which the probability to have a realization is equM to 95%. It is shown through the obtained results that the error in the estimation of the arterial pressure can reach 35% when the estimation of the model parameters is subjected to an uncertainty ratio of 5%. Finally, a sensitivity analysis is performed to identify the constitutive law relevant parameters for better understanding and characterization of the arterial wall mechanical behaviors.
