Combination of medical and health care based on digital smartphone-powered photochemical dongle for renal function management.

Currently, the global healthcare market is increasing at high speed with the impendent global aging issue. Healthcare Industry 4.0 has emerged as an efficient solution towards the aging issue since it was integrated with ubiquitous medical sensors, big health processing platform, high bandwidth, speed technologies, and medical services, etc. It is believed to fulfil the requirement of the tremendously growing health market. The acquisition of medical data acts as the dominant precondition to implement the Healthcare Industry 4.0. In the same way, the widely available smartphone could serve as the best biomedical information collect station. In this study, a smartphone-powered photochemical dongle is demonstrated to precisely estimate blood creatinine from the fingertip blood, which works as a highly compact reflectance spectral analyzer with an enzymatically dry chemical test strip. Comparing with conventional laboratory facility for the evaluation and treatment of chronic kidney disease (CKD), it implemented the platform of point care with agreed accuracy. In order to estimate the efficiency of treatment and recovery of the CKD, the proposed photochemical dongle would provide a flexible and rapid platform for point of care. Furthermore, the proposed measured technology is very promising method for remote CKD management.

Analysis of the relationship between frailty index and 25(OH) vitamin D in elderly inpatients.

To analyze the relationship between frailty index and 25(OH) vitamin D in elderly inpatients. Totally 300 elderly patients in the geriatric department of Yuncheng Central Hospital from December 2019 to November 2020 were enrolled. There were 100 cases of non-frailty, pre-frailty, and frailty, respectively. The incidence of frailty was higher in patients with low household income, more diseases, less education, more medication, poor health self-assessment, and older age. There were statistical differences in vitamin D levels in weight loss, slower walking pace, reduced grip strength, decreased physical performance, and fatigue. There were significant differences in hypertension, diabetes mellitus, cerebral apoplexy, osteoporosis, and multiple chronic diseases among the three groups. The correlation analysis of senile frailty with age, weight, education level, income, BMI, combined chronic diseases, waist-to-hip ratio, weight loss, slower pace, decreased grip strength, decreased physical fitness, fatigue, and vitamin D level was statistically significant. Factors, included age, weight, education level, income, BMI, combined chronic diseases, waist-to-hip ratio, weight loss, slower pace, decreased grip strength, decreased physical fitness, fatigue, vitamin D level had a significant effect on frailty. Logistic regression analysis showed that vitamin D and age were independent influencing factors for frailty.