Objective:The prediction model of feeding intolerance in preterm infants was established and validated to provide guidance for clinical practice.Methods:This was a case-control study. A retrospective analysis was conducted on 210 premature infants with gestational age less than 34 weeks from September 2022 to May 2023. They were divided into training and validation sets in a 1∶1 ratio. The univariate and multivariate binary Logistic regression analysis were performed on training set samples, first identified the risk factors for feeding intolerance occurrence, and established a premature feeding intolerance risk prediction model based on these risk factors. Visualized the model using a column chart. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves in the training and validation sets, respectively. The ROC curve was used to evaluate the differentiation ability of the model, the calibration curve was used to evaluate the consistency of the model, and clinical decision-making was used to evaluate the net benefit status of patients when the model guides clinical interventions.Results:Among them, there were 84 cases in the feeding tolerance and 126 cases in the feeding intolerance. There were 53 males and 31 females with feeding tolerance aged (32.38 ± 1.37) weeks and 73 males and 53 females with feeding intolerance aged (30.01 ± 2.14) weeks. Through univariate Logistic regression analysis of 12 related variables, there were significant differences between the feeding tolerance premature infants and the feeding intolerance premature infants in 8 variables of premature birth weight, birth asphyxia, caffeine use, delayed defecation, gestational age, lactation time, non-invasive ventilation time, and invasive ventilation time ( OR values were 0.032-18.706, all P<0.05). Multiple Logistic regression ultimately screened out three variables, namely premature infant body mass, delayed defecation, and non-invasive ventilation time ( OR = 0.073, 4.926, 1.244, all P<0.05). The area under the ROC curve of the training and validation sets were 0.906 and 0.876, respectively. The calibration curves of the training and validation sets indicated that the model had high consistency. The Hosmer-Lemeshow goodness of fit test showed that χ2 = 7.92, P = 0.442. Conclusions:The prediction model established in this study has high discrimination, calibration, and clinical practical value, and can accurately predict the risk of feeding intolerance in premature infants, providing reference basis for timely nursing and clinical intervention.

Objective:To conduct a systematic review of clinical manifestations, treatment, and associated genotyping of Sorsby fundus dystrophy (SFD).Methods:An evidence-based medicine study. Sorsby fundus dystrophy, anti-vascular endothelial growth factor therapy, choroidal neovascularization, macular neovascularization, and TIMP3 gene were hereby used as search terms. Relevant literature was searched in CNKI, Wanfang, PubMed of the National Library of Medicine, and Embase of the Netherlands. The time span for literature searching ranged from the establishment of the database to April 2022, and two reviewers independently screened the literature and extracted relevant data, with duplicates, incomplete or irrelevant articles, and review articles excluded. SPSS26.0 software was used for analysis. The 95% confidence interval ( CI) was used as an estimate of the effect size. The clinical manifestations, treatment and related pathogenic genes of SFD were counted and recorded. Results:According to the search strategy, 157 pieces of literature were initially retrieved, and 49 eyes of 35 patients from 16 articles were finally included for analysis, among which, 17 patients were male, 13 patients were female, and 5 patients were unknown gender; 16 involved left eyes, 19 involved right eyes, and 14 involved unidentified eyes. The age of the disease onset was 42.33±2.19 years (28-59) years old. There were 19 cases with a positive family history, and the total positive rate was 54.3% (19/35, 95% CI 36%-72%). There were 31 cases of gene mutation, all of which were TIMP3. In the included literature, there were 2 and 2 cases with no mutation and unreported loci, respectively, with a total positive rate of 93.9% (31/33, 95% CI 85%-100%). Among the 31 cases with gene mutation, 22, 4, 1, and 4 cases were in the UK, Germany, Switzerland, and Chinese, respectively, and the detection rates were all 100% (22/22, 4/4, 1/1, 4/4). The clinical manifestations of SFD were mainly yellow-white deposits in the fundus and choroidal neovascularization (CNV) in the macula, thereby leading to a decrease in central vision, followed by the expansion of the deposits to the periphery, the further development of CNV, and a severe decline in vision caused by peripheral retinal and choroidal atrophy. The treatment methods for SFD include photodymatic therapy, anti-VEGF drugs, glucocorticoids, vitamin A, etc., among which, anti-VEGF drugs were considered the first-line treatment, and the combined treatment was provided with a better prognosis than a single treatment. Conclusions:Variations in the TIMP3 gene cause SFD, the fundus characteristic manifestations of which, are yellowish-white deposits and CNV, which develop from the center to the periphery, thus resulting in progressive decline of visual acuity. Current studies have shown that combined therapy presents a better prognosis than monotherapy.

Smart wearable devices play an increasingly important role in physiological monitoring and disease prevention because they are portable, real-time, dynamic and continuous.The popularization of smart wearable devices among people under high-altitude environment would be beneficial for the prevention for heart and brain diseases related to high altitude. The current review comprehensively elucidates the effects of high-altitude environment on the heart and brain of different population and experimental subjects, the characteristics and applications of different types of wearable devices, and the limitations and challenges for their application. By emphasizing their application values, this review provides practical reference information for the prevention of high-altitude disease and the protection of life and health.
Altitude ; Brain Diseases ; Heart ; Humans ; Monitoring, Physiologic ; Wearable Electronic Devices

Objective: To realize the efficient monitoring of frequency of medical exposure and dose monitoring in Ningbo by means of informatization. Methods: Data transmission process and the key elements of frequency of medical exposure and individual dose were investigated. According to standardization principles of data elements, the standardized data elements for frequency of medical exposure and individual dose were determined. On this basis, modules and functions of data receiving platform on the frequency of medical exposure and individual dose in Ningbo were designed. Results: Totally 59 data elements on frequency of medical exposure and individual dose were formed. According to their functions, the data receiving platform was divided into the distribution of radiodiagnosis and radiotherapy resources, the frequency monitoring of medical exposure and dose monitoring for permanent residents, and the dose monitoring. Conclusions The establishment of frequency and dose information monitoring platform on medical exposure in Ningbo and the determination of standardized data elements will be conducive to further progress in medical exposure information monitoring in Ningbo.