A comparison of the number of clinicians per 1000 residents in the province,and analysis of their distribution and characteristics identified an imbalance of such resources between regionsand between urban and rural areas.A further analysis of the payment flow of medical insurance fund of the counties and districts probed into the deployment efficiency of clinical in the province,holding that the hck of a human resources deployment and guidance mechanism for clinical resources is key to toor healthcare equity and difficulties in accessibility of healthcare service.

Objective To explore the influencing factors of disease uncertainty levels in patients with primary aldosteron-ism(PA),in order to guide the formulation of clinical intervention measures and reduce the level of disease uncertainty in PA patients.Methods 83 patients with PA admitted to the hospital from January 2021 to January 2022 were selected to evaluate the level of disease uncertainty of all patients[MUIS score],design a baseline data questionnaire,and make detailed statistics on the baseline data of all patients,compare the MUIS score of PA patients with different data characteristics,and focus on the analysis of the factors affecting the level of disease uncertainty of PA patients.Results After evaluation,the MUIS score of 83 PA patients was(89.73±8.60)points;The MUIS scores of PA patients with different social support,education level,anxiety and family monthly per capita income were statistically different(P＜0.05),while the MUIS scores of PA patients with different ages,gen-ders,work conditions,religious beliefs,diabetes and living alone were not statistically different(P＞0.05);The influencing fac-tors of disease uncertainty level in PA patients are low monthly per capita income,low social support,anxiety,and low education level(P＜0.05).Conclusion The disease uncertainty of PA patients is at a medium-high level.Low education level,low social support,anxiety and low family monthly per capita income are all factors affecting the disease uncertainty level of PA patients.Clin-ical intervention measures can be designated according to the above factors to reduce the disease uncertainty of patients.

Objective:To monitor intra-fractional set-up errors in tumor radiotherapy using a real-time intelligent capture system for precision displacement.Methods:A simulated radiotherapy environment was created in both the laboratory and the treatment room. A three-axis ( xyz) displacement platform (LD60-LM) and dial gauges were used as displacement measurement tools. Moreover, a real-time intelligent capture system for precision displacement was developed for displacement monitoring. With 23 patients treated with radiotherapy enrolled in this study, the above system was employed to monitor their intra-fractional set-up errors in fractionated radiotherapy. Descriptive analyses were conducted on the deviations between the data captured by cameras and the actual displacement, obtaining the mean values and standard deviation. Results:The monitoring calibration data from the laboratory revealed displacement differences of ≤ 0.5 mm within 20 mm and a maximum displacement difference of 1.47 mm for 50 mm. In contrast, the calibration result from the treatment room exhibited deviations of ± 0.2 mm on the y- z axes, as displayed by both the left and right cameras, and ± 0.31 mm on the x- z axes, as displayed by the middle camera. During 37 radiotherapy sessions in 23 patients, the monitoring result from the middle camera revealed five deviations exceeding the threshold of 5 mm, with the maximum deviation duration and displacement of 57.2 s and 9.24 mm, respectively. Conclusions:The real-time intelligent capture system for precision displacement based on machine vision can achieve real-time monitoring of set-up errors during tumor radiotherapy. Nevertheless, further improvements and service testing are necessary for this system.

OBJECTIVETo explore the genetic etiology of fetuses with multicystic dysplastic kidney (MCDK) by chromosome microarray analysis (CMA).

METHODSSeventy-two fetuses with MCDK were analyzed with conventional cytogenetic technique, among which 30 fetuses with a normal karyotype were subjected to CMA analysis with Affymetrix CytoScan HD arrays by following the manufacturer's protocol. The data was analyzed with ChAS software.

RESULTSConventional cytogenetic technique has revealed three fetuses (4.2%) with identifiable chromosomal aberrations. CMA analysis has detected pathogenic CNVs in 5 fetuses (16.7%), which included two well-known microdeletion or microduplication syndromes, i.e., 17q12 microdeletion syndrome and Williams-Beuren syndrome (WBS) and three submicroscopic imbalances at 4q35.2, 22q13.33, and 1p33. PEX26, FKBP6, TUBGCP6, ALG12, and CYP4A11 are likely the causative genes.

CONCLUSIONCMA can identify the submicroscopic imbalances unidentifiable by conventional cytogenetic technique, and therefore has a significant role in prenatal diagnosis and genetic counseling. The detection rate of pathogenic CNVs in fetuses with MCDK was 16.7% by CMA. 17q12 microdeletion syndrome and WBS are associated with MCDK. Mutations of PEX26, FKBP6, TUBGCP6, ALG12, and CYP4A11 genes may be the causes for MCDK.

Adult ; Chromosomes ; genetics ; Female ; Fetus ; Humans ; Male ; Microarray Analysis ; methods ; Multicystic Dysplastic Kidney ; genetics ; Pregnancy ; Prenatal Diagnosis ; methods ; Young Adult

Acetaminophen (APAP) overdose is the leading cause of drug-induced liver injury, and its prognosis depends on the balance between hepatocyte death and regeneration. Sirtuin 6 (SIRT6) has been reported to protect against oxidative stress-associated DNA damage. But whether SIRT6 regulates APAP-induced hepatotoxicity remains unclear. In this study, the protein expression of nuclear and total SIRT6 was up-regulated in mice liver at 6 and 48 h following APAP treatment, respectively.