ABSTRACT
Objective:To explore the correlation between blood glucose level and parental education level in children with type 1 diabetes mellitus (T1DM) based on mobile health APP.Methods:The data of T1DM children enrolled in China′s T1DM registration management program and registered to use TangTangquan ? were collected, as well as the blood glucose monitoring information uploaded quarterly after registration. Children were divided into low education group (middle school or below) and high education group (junior college or above) according to their parents′ education level. Blood glucose levels were compared between the two groups at different time points. Spearman correlation analysis and multivariate logistic regression analysis were used to evaluate the correlation between blood glucose level and parents′ education level in children with T1DM. Results:A total of 2 263 eligible children with T1DM were included and 1 246 were female (55.1%). The median age was 7.9(4.4, 11.4)years and T1DM duration was 0.07(0.02, 0.46)years. Among them, 1 513 cases were in the low-education group while 750 cases were in the high-education group. Within three years after registration, the glucose levels of each interval in the low-education group were increasing gradually (all P<0.05 except post-breakfast glucose). The glucose levels of each interval in the high-education group in the third year were lower than those in the low-education group (all P<0.05 except nocturnal glucose). The result of multivariate logistic regression analysis showed that after the adjustment of factors including T1DM duration and treatment, parental educational levels were still the separate related factors of premeal glucose, bedtime glucose and nocturnal glucose (premeal glucose: OR=0.385, 95% CI: 0.164-0.874, P=0.025; bedtime glucose: OR=0.444, 95% CI: 0.204-0.949, P=0.038; nocturnal glucose: OR=0.226, 95% CI: 0.582-0.747, P=0.020). Conclusions:The blood glucose levels of children with T1DM were negatively associated with parental educational levels. It is suggested that parental educational levels should be taken into consideration in the management of T1DM for children.
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the therapeutic effect of alar rotation flap for severe alar retraction.</p><p><b>METHODS</b>Patients with severely retracted alar underwent ala reconstruction using alar rotation flaps and autogenous cartilage batten grafts. First, costal cartilage was used to reshape the nasal tip and nasal dorsum. Then cartilage patch was used to extend and thicken the retracted alar. Then the alar rotation flap was transferred to correct retracted alar.</p><p><b>RESULTS</b>Fourteen patients with severe alar retraction underwent alar reconstruction with alar rotation flap and alar batten grafts. The alar retraction was corrected in all cases, with improvements functionally and aesthetically. No recurrence of alar retraction was noted. The incision healed with acceptable cosmetic results, with obvious scar in only one patient (one side).</p><p><b>CONCLUSIONS</b>The alar rotation flap is an effective and reliable surgical option to correct severe alar retraction. Scar can be kept inconspicuous by precise placement of the incision within the junction of the ala and the nasal dorsum, following principles of the aesthetic nasal subunits.</p>
Subject(s)
Humans , Cartilage , Transplantation , Cicatrix , Costal Cartilage , Transplantation , Esthetics , Nose Deformities, Acquired , General Surgery , Rhinoplasty , Methods , Rotation , Surgical FlapsABSTRACT
This paper proposes a falling detection system based on MPU6050 senor. The system consists of a MPU6050 sensor, a STM32 MCU and a set of Bluetooth 4.0 device: collecting and parsing the falling data, transferring the result to a smartphone, the smartphone: receiving the result, alarming the elder's family and hospital. This paper presentes a new judging algorithm based on the threshold of three-axis acceleration and angle deviation of body, in order to differentiate AF and normal daily activity. The result proves that the accuracy of the system is higher than 95%, which strongly highlight the robustness and reliability.