ABSTRACT
Objective To establish the regression equation of blood pressure in population based on the pulse wave transit time (PWTT) and verify its accuracy. Methods A convenient sampling method was used to collect gender, age, arm circumference, arm length, PWTT, history of hypertension, and body height, etc. of 4 121 outpatients' information from the Hainan Branch of Chinese PLA General Hospital from June 2016 to May 2018 to establish a binary variable logistic regression equation for blood pressure elevation or not and screen out the influencing factors of time point blood pressure. The accuracy of the equation was then verified in 252 outpatients. Results Logistic regression analysis showed that PWTT, gender, age, history of hypertension present or not, body height might be the influencing factors of blood pressure elevation [odds ratio (OR) values were 0.995, 0.530, 0.980, 107.128, 0.979, 95% confidence interval (95% CI) were 0.991-0.999, 0.405-0.695, 0.971-0.989, 73.935-155.223, and 0.962-0.996, respectively, all P < 0.05]. The classification prediction equation: Ln [P / (1-P)] = 2.087-0.005×PWTT-0.635×gender (man = 1, woman = 2)-0.02×age + 4.674×hypertension history present or not-0.021×body height [P indicates the probability of a positive result: systolic blood pressure≥140 mmHg (1 mmHg = 0.133 kPa) and/or diastolic blood pressure≥90 mmHg]. The overall test results showed that χ2 = 1 835.305, P < 0.05, statistically significant; The goodness of fit test results:χ2 = 5.881, P > 0.05, the data was conform to the equal proportion distribution. Model-confirmed results showed that in patients with a history of hypertension, the probability of predicting accuracy was 95%-99%. In patients without a history of hypertension, the probability of predicting accuracy was 45%-89%. Conclusion The predictive value of blood pressure elevation with this model in patients with a history of hypertension is superior to that of patients without the history of hypertension.
ABSTRACT
This article described the background,concept,characteristic and objective of the research-based nursing,systematically introducing the main measures including management mechanism, nursing service,nursing staff training,and nursing scientific development.Other areas covered include innovation management mechanism,updating service philosophy,improving nursing staff training,and constructing scientific research platform.
ABSTRACT
A new adaptive pneumatic tourniquet was developed for limb operation and first-aid. The crucial hardware circuits of the adaptive pneumatic tourniquet were designed based on the microprocessor C8051F340 and blood pressure module CSN602, software was programmed and an experiment was carried out for verifying the system. Results showed that the prototype could measure accurately systolic blood pressure, heart rate and other relative parameters and the designed device could adjust tourniquet cuff's pressure through inflation and deflation according to systolic blood pressure and limb circumference. This designed system integrated the advantages of the adaptive pneumatic tourniquet, and could be used for controlling life-threatening extremity hemorrhage operation and maintaining a bloodless opeation field.
Subject(s)
Humans , Equipment Design , Microcomputers , TourniquetsABSTRACT
The correlation coefficients between arterial occlusion pressure and systolic blood pressure, diastolic blood pressure, limb circumference, body mass etc were obtained through healthy volunteer experiments, in which tourniquet were applied on upper/lower extremities. The prediction equations were derived from the data of experiments by multiple regression analysis. Based on the microprocessor C8051F340, a new pneumatic tourniquet system that can determine tourniquet pressure in synchrony with systolic blood pressure was developed and verified the function and stability of designed system. Results showed that the pneumatic tourniquet which automatically adjusts occlusion pressure in accordance with systolic blood pressure could stop the flow of blood to get a bloodless field.