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Regular monitoring of blood glucose levels is essential for the management of diabetes and the development of appropriate treatment protocols. The conventional blood glucose (BG) testing have an intrusive technique to prick the finger and it can be uncomfortable when it is a regular practice. Intrusive procedures, such as fingerstick testing has negatively influencing patient adherence. Diabetic patients now have an exceptional improvement in their quality of life with the development of cutting-edge sensors and healthcare technologies. intensive care unit (ICU) and pregnant women also have facing challenges including hyperglycemia and hypoglycemia. The worldwide diabetic rate has incited to develop a wearable and accurate non-invasive blood glucose monitoring system. This research developed an Internet of Things (IoT) - enabled wearable blood glucose monitoring (iGM) system to transform diabetes care and enhance the quality of life. The TTGOT-ESP32 IoT platform with a red and near-infrared (R-NIR) spectral range for blood glucose measurement has integrated into this wearable device. The primary objective of this gadget is to provide optimal comfort for the patients while delivering a smooth monitoring experience. The iGM gadget is 98.82 % accuracy when used after 10 hours of fasting and 98.04 % accuracy after 2 hours of breakfast. The primary objective points of the research were continuous monitoring, decreased risk of infection, and improved quality of life. This research contributes to the evolving field of IoT-based healthcare solutions by streaming real-time glucose values on AWS IoT Core to empower individuals with diabetes to manage their conditions effectively. The iGM Framework has a promising future with the potential to transform diabetes management and healthcare delivery.
Regular monitoring of blood glucose levels is essential for the management of diabetes and the development of appropriate treatment protocols. The conventional blood glucose (BG) testing have an intrusive technique to prick the finger and it can be uncomfortable when it is a regular practice. Intrusive procedures, such as fingerstick testing has negatively influencing patient adherence. Diabetic patients now have an exceptional improvement in their quality of life with the development of cutting-edge sensors and healthcare technologies. intensive care unit (ICU) and pregnant women also have facing challenges including hyperglycemia and hypoglycemia. The worldwide diabetic rate has incited to develop a wearable and accurate non-invasive blood glucose monitoring system. This research developed an Internet of Things (IoT) - enabled wearable blood glucose monitoring (iGM) system to transform diabetes care and enhance the quality of life. The TTGOT-ESP32 IoT platform with a red and near-infrared (R-NIR) spectral range for blood glucose measurement has integrated into this wearable device. The primary objective of this gadget is to provide optimal comfort for the patients while delivering a smooth monitoring experience. The iGM gadget is 98.82 % accuracy when used after 10 hours of fasting and 98.04 % accuracy after 2 hours of breakfast. The primary objective points of the research were continuous monitoring, decreased risk of infection, and improved quality of life. This research contributes to the evolving field of IoT-based healthcare solutions by streaming real-time glucose values on AWS IoT Core to empower individuals with diabetes to manage their conditions effectively. The iGM Framework has a promising future with the potential to transform diabetes management and healthcare delivery.
Background The risk factors for contralateral hip refracture after primary hip fracture are not fully understood; therefore, this study compared the clinical characteristics of patients with first and second hip fractures and explored and analyzed the risk factors for contralateral refracture after hip fracture in elderly individuals to provide a reference for the clinical prevention of postoperative refracture of hip fracture in elderly individuals. Methods A retrospective study was conducted on 458 elderly patients with hip fractures who underwent surgical treatment and were discharged from our hospital from March 2016 to March 2019. The clinical data of the patients were analyzed retrospectively. Patients were divided into a case group (postoperative refracture) and a control group (no postoperative refracture) based on whether they experienced refracture within five years after surgery. The clinical data of the two groups were compared and analyzed via univariate and multivariate logistic regression analyses and receiver operating characteristic (ROC) regression analysis to identify the risk factors for refractures after hip fracture surgery in elderly patients. Results Sixty-one patients experienced refracture, with an incidence rate of 13.3%. Age ≥ 80.5 years, female sex, poor knee joint function, FRAX score ≥ 15.5, anemia, visual impairment, osteoporosis, and Alzheimer’s disease (AD) were identified as risk factors for refracture after hip fracture surgery in elderly individuals ( P < 0.05). Conclusion Elderly patients with hip fractures are susceptible to refracture after surgery because of factors such as advanced age, female sex, high FRAX score, poor knee joint function, anemia, osteoporosis, visual impairment, and AD. Targeted interventions should be implemented based on the above risk factors.
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