Feasibility Analysis of Wearables Guiding Scientific Movements and Promoting Health.

Wearable devices have gradually integrated into people's healthy lives because of their mobility, portability, and other characteristics, and have shown their value and status in sports and health. Wearable devices can be used to capture a large amount of human body activity data, but how to effectively use these data to serve people and help people form a healthy lifestyle is a problem to be considered. In order to further study the feasibility of wearable devices to guide scientific movements and promote health, a new layered motion recognition algorithm is proposed in this study. In this study, a C4.5-based decision tree algorithm is used to identify the state layer, and only the mean and variance features are extracted from the acceleration sensor data. Three corresponding BP neural network classifiers are constructed and classified. Each classifier is responsible for identifying actions in the corresponding states and verifying the method in this study through experiments. The experimental results in this study show that the recognition rate of the mRMR feature selection recognition algorithm is 1.13% higher than the BE algorithm and 2.02% higher than the recognition method without any feature selection algorithm. In addition, the research in this article found that wearable devices can realize the real-time detection of the physiological indicators of the wearer throughout the day to evaluate the efficacy of the drug and apply it to the early detection and treatment of diseases, which may improve patient compliance and promote health to a certain extent.

Research on diagnosis-related group grouping of inpatient medical expenditure in colorectal cancer patients based on a decision tree model.

BACKGROUND: In 2018, the diagnosis-related groups prospective payment system (DRGs-PPS) was introduced in a trial operation in Beijing according to the requirements of medical and health reform. The implementation of the system requires that more than 300 disease types pay through the DRGs-PPS for medical insurance. Colorectal cancer (CRC), as a common malignant tumor with high prevalence in recent years, was among the 300 disease types. AIM: To investigate the composition and factors related to inpatient medical expenditure in CRC patients based on disease DRGs, and to provide a basis for the rational economic control of hospitalization expenses for the diagnosis and treatment of CRC. METHODS: The basic material and cost data for 1026 CRC inpatients in a Grade-A tertiary hospital in Beijing during 2014-2018 were collected using the medical record system. A variance analysis of the composition of medical expenditure was carried out, and a multivariate linear regression model was used to select influencing factors with the greatest statistical significance. A decision tree model based on the exhaustive χ 2 automatic interaction detector (E-CHAID) algorithm for DRG grouping was built by setting chosen factors as separation nodes, and the payment standard of each diagnostic group and upper limit cost were calculated. The correctness and rationality of the data were re-evaluated and verified by clinical practice. RESULTS: The average hospital stay of the 1026 CRC patients investigated was 18.5 d, and the average hospitalization cost was 57872.4 RMB yuan. Factors including age, gender, length of hospital stay, diagnosis and treatment, as well as clinical operations had significant influence on inpatient expenditure (P < 0.05). By adopting age, diagnosis, treatment, and surgery as the grouping nodes, a decision tree model based on the E-CHAID algorithm was established, and the CRC patients were divided into 12 DRG cost groups. Among these 12 groups, the number of patients aged ≤ 67 years, and underwent surgery and chemotherapy or radiotherapy was largest; while patients aged > 67 years, and underwent surgery and chemotherapy or radiotherapy had the highest medical cost. In addition, the standard cost and upper limit cost in the 12 groups were calculated and re-evaluated. CONCLUSION: It is important to strengthen the control over the use of drugs and management of the hospitalization process, surgery, diagnosis and treatment to reduce the economic burden on patients. Tailored adjustments to medical payment standards should be made according to the characteristics and treatment of disease types to improve the comprehensiveness and practicability of the DRGs-PPS.

Towards low cost, multiplex clinical genotyping: 4-fluorescent Kompetitive Allele-Specific PCR and its application on pharmacogenetics.

Single-nucleotide polymorphisms (SNPs) is associated with efficacy of specific drugs. Although there are several methods for SNP genotyping in clinical settings, alternative methods with lower cost, higher throughout and less complexity are still needed. In this study, we modified Kompetitive Allele Specific PCR to enable multiplex SNP genotyping by introducing additional fluorescent cassettes that specifically help to differentiate more amplification signals in a single reaction. This new format of assay achieved a limit of detection down to 310 copies/ reactions for simultaneous detection of 2 SNPs with only standard end-point PCR workflow for synthetic controls, and genotyped 117 clinical samples with results that were in 100% agreement with hospital reports. This study presented a simplified, cost-effective high-throughput SNP genotyping alternative for pharmacogenetic variants, and enabled easier access to pharmaceutical guidance when needed.

Cost Analysis of Cervical Cancer Patients with Different Medical Payment Modes Based on Gamma Model within a Grade A Tertiary Hospital.

BACKGROUND: Cervical cancer shows a growing incidence and medical cost in recent years that has increased severe financial pressure on patients and medical insurance institutions. This study aimed to investigate the medical economic characteristics of cervical cancer patients with different payment modes within a Grade A tertiary hospital to provide evidence and suggestions for inpatient cost control and to verify the application of Gamma model in medical cost analysis. METHODS: The basic and cost information of cervical cancer cases within a Grade A tertiary hospital in the year 2011-2016 were collected. The Gamma model was adopted to analyze the differences in each cost item between medical insured patient and uninsured patients. Meanwhile, the marginal means of different cost items were calculated to estimate the influence of payment modes toward different medical cost items among cervical cancer patients in the study. RESULTS:: A total of 1321 inpatients with cervical cancer between the 2011 and 2016 were collected through the medical records system. Of the 1321 cases, 65.9% accounted for medical insured patients and 34.1% were uninsured patients. The total inpatient medical expenditure of insured patients was RMB 29,509.1 Yuan and uninsured patients was RMB 22,114.3 Yuan, respectively. Payment modes, therapeutic options as well as the recurrence and metastasis of tumor toward the inpatient medical expenditures between the two groups were statistically significant. To the specifics, drug costs accounted for 37.7% and 33.8% of the total, surgery costs accounted for 21.5% and 25.5%, treatment costs accounted for 18.7% and 16.4%, whereas the costs of imaging and laboratory examinations accounted for 16.4% and 15.2% for the insured patient and uninsured patients, respectively. As the effects of covariates were controlled, the total hospitalization costs, drug costs, treatment costs as well as imaging and laboratory examination costs showed statistical significance. The total hospitalization costs, drug costs, treatment costs as well as imaging and laboratory examination costs of insured patient were 1.33, 1.42, 1.52, and 1.44 times of uninsured patients. CONCLUSIONS: The analysis of different payment modes toward the medical economic characteristics based on Gamma model is basically rational. Medical payment modes are having certain influence toward the hospitalization expenses of cervical cancer patients in an extent, as drug costs, treatment costs, and examination costs appear to be the main causes.

Research of Medical Expenditure among Inpatients with Unstable Angina Pectoris in a Single Center.

BACKGROUND: With the rising incidence as well as the medical expenditure among patients with unstable angina pectoris, the research aimed to investigate the inpatient medical expenditure through the combination of diagnosis-related groups (DRGs) among patients with unstable angina pectoris in a Grade A tertiary hospital to conduct the referential standards of medical costs for the diagnosis. METHODS: Single-factor analysis and multiple linear stepwise regression method were used to investigate 3933 cases between 2014 and 2016 in Beijing Hospital (China) whose main diagnosis was defined as unstable angina pectoris to determine the main factors influencing the inpatient medical expenditure, and decision tree method was adopted to establish the model of DRGs grouping combinations. RESULTS: The major influential factors of inpatient medical expenditure included age, operative method, therapeutic effects as well as comorbidity and complications (CCs) of the disease, and the 3933 cases were divided into ten DRGs by four factors: age, CCs, therapeutic effects, and the type of surgery with corresponding inpatient medical expenditure standards setup. Data of nonparametric test on medical costs among different groups were all significant (P < 0.001, by Kruskal-Wallis test), with R2 = 0.53 and coefficient of variation (CV) = 0.524. CONCLUSIONS: The classification of DRGs by adopting the type of surgery as the main branch node to develop cost control standards in inpatient treatment of unstable angina pectoris is conducive in standardizing the diagnosis and treatment behaviors of the hospital and reducing economic burdens among patients.

Research on 2041 Cases of High Inpatient Expenditure and Influence Factors during 3 Years in a Single Center.

BACKGROUND: The study was to explore the causes of high inpatient expenditure through analyzing the distribution characteristics as well as the influence factors of high inpatient expenditure cases during 3 years within a Grade-A tertiary hospital through various aspects and multiple angles, thus identifying the major influence factors for high medical expenditure to develop further research. METHODS: We retrospectively studied 2041 inpatient cases which cost more than RMB 100,000 Yuan per case in a Grade-A tertiary hospital from 2013 to 2015. We analyzed the compositions of the medical cost to evaluate the major factors that cause the high inpatient expenditure. All the data and materials were collected from medical record system, and the statistical methods included t-test, variance of analysis, and multivariate linear regression. RESULTS: The average cost of the 2,041 cases was RMB 152,173 Yuan for medicines and materials of medical costs, which respectively accounted for 33.03% and 32.32% of the total cost; and the average length of hospital stay was 28.39 days/person. Diseases of skeletal and muscular system, circulatory system, and tumor were the top three disease categories of high inpatient expenditure, which accounted for 39.00%, 33.46%, and 18.03%, respectively. Complications, criticality of the disease, gender of the patients, the occurrence of death, and the excessive length of hospital stay all had great impacts on average medical expenditure, while age, hospital infection, and surgery showed no significant impact on average medical cost. CONCLUSIONS: The main factors for high inpatient expenditure included the inadequate use of high-value medicines and materials, lacking cost control measures within the hospital, the excessive length of hospital stay for inpatients, and the unnecessary treatment for the patients.

Pharmacokinetics of pilsicainide hydrochloride for injection in healthy Chinese volunteers: a randomized, parallel-group, open-label, single-dose study.

BACKGROUND: Pilsicainide hydrochloride is a class IC antiarrhythmic agent used for the treatment of supraventricular and ventricular arrhythmias and atrial fibrillation. OBJECTIVE: The objective of the present study was to determine the pharmacokinetics (PK) of a pilsicainide hydrochloride injection in healthy Chinese adults. The study was conducted to meet China State Food and Drug Administration requirements for the marketing of the new generic formulation of pilsicainide hydrochloride. METHODS: This Phase I, randomized, parallel-group, open-label, single-dose PK study was conducted in healthy Chinese volunteers. Subjects were randomized to receive a single dose of 0.25-, 0.50-, and 0.75-mg/kg pilsicainide hydrochloride with a 10-minute intravenous infusion. Serial blood and urine samples were collected up to 24 hours after dosing; drug concentrations in plasma and urine were then determined by using LC-MS/MS. The PK parameters of pilsicainide were calculated from the plasma concentration-time data according to noncompartmental methods. Safety profile was evaluated by monitoring adverse events, clinical laboratory parameters, and the results of 12-lead ECGs. RESULTS: Thirty healthy volunteers (mean [SD] age, 28.0 [4.95] years; weight, 59.3 [6.51] kg; height, 165.0 [7.25] cm; body mass index, 21.7 [1.94] kg/m(2)) were randomly divided into 3 groups, each consisting of 5 men and 5 women. After single-dose intravenous administration of 0.25, 0.50, and 0.75 mg/kg of pilsicainide hydrochloride, mean Cmax was 0.34 (0.11), 0.54 (0.15), and 1.05 (0.19) µg/mL, respectively; AUC0-24 was 0.76 (0.12), 1.61 (0.37), and 2.61 (0.46) h · µg/mL; and AUC0-∞ was 0.79 (0.13), 1.71 (0.46), and 2.72 (0.50) h · µg/mL. The ranges for t½z, CL, and Vz were 5.19 to 5.98 hours, 4.73 to 5.44 mL/min/kg, and 2.23 to 0.58 L/kg, respectively. The mean urinary recovery rate within 24 hours was 75.0% (12.0%), 65.0% (19.2%), and 66.4% (14.1%). Men and women had significantly different AUC0-24 values in the 0.50-mg/kg dose group (P = 0.044), and Vz showed significant differences between men and women in all 3 dose groups (P = 0.001). According to ECG parameters, PR intervals were significantly prolonged after administration at all 3 doses (P = 0.034, P < 0.001, and P = 0.034); no significant changes were seen in QRS width, QTc interval, or other parameters. CONCLUSIONS: Pilsicainide hydrochloride demonstrated linear PK, and the increase in the exposure of pilsicainide (AUC0-24 and AUC0-∞) was dose proportional after single doses of 0.25, 0.50, and 0.75 mg/kg. All 3 pilsicainide hydrochloride doses were well tolerated in these Chinese volunteers. ChiCTR-ONC-13003546.