Objective To observe the systemic inhalation anesthetic effects of preterm children with different gestational ages under ocular fundus examination, and to assess its safety. Methods Fifty-one preterm children with retinopathy of prematurity (ROP) were included in the study. These kids were divided into 2 groups, group Ⅰ included 24 kids with a corrected gestational age of 33 to ＜44 weeks, and group Ⅱ included 27 kids with a corrected gestational age of 44 to 64 weeks. The preterm months were same (t=-1.3.P＞0.05), but the body weights were different (t=-10.5.P＜0.05) between these two groups. Anesthesia was induced by inhalation of 6% sevoflurane, and the period from the beginning of inhalation to disappearance of body movement was the induction time. 6% sevoflurane was inhaled continuously for another period of the induction time, and then the concentration of sevoflurane was adjusted to a maintenance concentration. The initial maintenance concentration was 3%, and was adjusted by 0.5% each time. Sequential method was used to determine the subsequent maintenance concentration. If the preceding patient had not moved during the maintenance period, the sevoflurane concentration was decreased by 0.5% for the next patient. If the preceding patient had moved during the maintenance period, the sevoflurane concentration was increased by 0.5% for the next patient. Respiratory depression and cough during the induction and maintenance period, duration of anesthesia and recovery time were recorded. Choking and vomiting during drinking or milk-feeding in one hour after the ocular fundus examination were also recorded. Results The effective inhale concentration in 50% patient of sevoflurane was 2.5% in group Ⅰ, 2.9% in group Ⅱ. The average maintenance concentration was (2.5plusmn;0.5)% in group Ⅰ, (3.0plusmn;0.5)% in group Ⅱ. The difference was statistically significant (t=-3.3.P＜0.05). The average duration of anesthesia and the average awake time were the same (t=0.04 and -1.0 respectively.P＞0.05) between these two groups. The average induction time was significantly shorter in group Ⅰ than in group Ⅱ, the difference was statistically significant (t=-4.9.P＜0.05). All patients were successfully completed the ocular examination. No respiratory depression or cough occurred during and after the examination. No choking and vomiting during drinking or milkfeeding in one hour after the ocular fundus examination. Conclusion Anesthesia with inhaled sevoflurane by a face mask is safe for preterm outpatients undergoing fundus examination.
ObjectiveTo measure and analyze the tortuosity of retinal veins in neonatal and premature infants quantitatively. MethodsA retrospective clinical study. The fundus images of the left eyes were selected from 30 healthy neonates and 30 premature infants without retinopathy of prematurity underwent RetCam screening. There were 16 premature infants with a history of oxygen inspiration. The tortuosity of superior temporal veins, inferior temporal veins, superior nasal veins, inferior nasal veins was measured separately using a self-developed computer program. Pearson correlation analysis was used to analyze the relationship between tortuosity of retinal veins and birth weight, gestational age and correct gestational age. ResultsIn full-term neonatal infants, the vascular tortuosity of the nasal veins was significantly higher than the temporal veins (t=5.73, P < 0.01), while the superior veins and inferior veins showed no significant difference (t=0.39, P > 0.05). There was no correlation between vascular tortuosity of temporal (r=0.179, -0.175) or nasal veins (r=0.055, 0.345) with birth weight or gestational age (P > 0.05). In premature infants, the vascular tortuosity of the nasal veins was also significantly higher than the temporal veins (t=5.00, P < 0.01), no significant difference was found between the superior veins and inferior veins (t=0.39, P > 0.05). The vascular tortuosity of temporal veins of premature infants was negatively correlated with birth weight (r=-0.375, P < 0.05); however, no significant correlation was found with gestational age (r=-0.296, P > 0.05). The vascular tortuosity of the temporal retinal veins of premature infants with a history of oxygen inspiration was significantly higher than premature infants without a history of oxygen inspiration (t=2.517, P < 0.05), though no significant difference was found between the nasal veins (t=-0.261, P > 0.05). The vascular tortuosity of the temporal and nasal retinal veins of premature infants was both higher than neonate, but was not statistically significant (t=0.88, 1.50; P > 0.05). ConclusionsThe vascular tortuosity of the temporal veins was greater than the nasal veins in both full-term and premature infants, though no significant difference was found between superior and inferior veins. The vascular tortuosity of temporal veins of premature infants increased as birth weight decreased. The vascular tortuosity of the temporal retinal veins of premature infants with a history of oxygen inspiration was higher than premature infants without a history of oxygen inspiration.
Sleep apnea causes cardiac arrest, sleep rhythm disorders, nocturnal hypoxia and abnormal blood pressure fluctuations in patients, which eventually lead to nocturnal target organ damage in hypertensive patients. The incidence of obstructive sleep apnea hypopnea syndrome (OSAHS) is extremely high, which seriously affects the physical and mental health of patients. This study attempts to extract features associated with OSAHS from 24-hour ambulatory blood pressure data and identify OSAHS by machine learning models for the differential diagnosis of this disease. The study data were obtained from ambulatory blood pressure examination data of 339 patients collected in outpatient clinics of the Chinese PLA General Hospital from December 2018 to December 2019, including 115 patients with OSAHS diagnosed by polysomnography (PSG) and 224 patients with non-OSAHS. Based on the characteristics of clinical changes of blood pressure in OSAHS patients, feature extraction rules were defined and algorithms were developed to extract features, while logistic regression and lightGBM models were then used to classify and predict the disease. The results showed that the identification accuracy of the lightGBM model trained in this study was 80.0%, precision was 82.9%, recall was 72.5%, and the area under the working characteristic curve (AUC) of the subjects was 0.906. The defined ambulatory blood pressure features could be effectively used for identifying OSAHS. This study provides a new idea and method for OSAHS screening.
ObjectiveTo summary the study results of the Sichuan Gastric Cancer Early Detection and Screening Research Program (SIGES). MethodsIn the past 10 years, SIGES program conducted a series of clinical and clinical epidemiological studies on the current situation and strategies of gastric cancer prevention and control in China, which provided evidence for supply-side structural reform to improve the gastric cancer prevention and control. We collected related studies and made a review. ResultsSIGES program systematically and specifically studied carcinogenic pathogens, risk factors, screening strategies, as well as critical technique and system construction of tertiary prevention for gastric cancer. The main results supported that Helicobacter pylori was highly correlated with precancerous atrophic gastritis and gastric cancer. Oncoviruses, such as Epstein-Barr virus, hepatitis B virus, human cytomegalovirus, human papillomavirus, John Cunningham virus were correlated with the risk of gastric cancer, and should be paid further attention in the prevention and screening strategy of gastric cancer. Ethnicity, domicile, and family history of gastric cancer were also correlated with gastric cancer and gastric cancer-related risk factors, so it was suggested to include in the personalized evaluation criteria system of high-risk groups for gastric cancer. ConclusionsAt present, the prevention and control of gastric cancer in China has achieved substantial achievements, but the burden of gastric cancer keeps heavy. It is still necessary to conduct further scientific research on critical technique or issues in designing prevention and control strategies.
ObjectiveTo systematically review the economics evaluation studies on the early screening or diagnosis of primary immunodeficiency diseases (PID). MethodsWeb of Science, CRD, PubMed, The Cochrane Library, CNKI and WanFang Data databases were electronically searched to collect the economics evaluation studies on the early screening or diagnosis of PID from inception to July 1st, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, a descriptive systematic review was performed. ResultsA total of 10 studies focusing on SCID were included. The results showed that under a relatively high threshold, the early screening and diagnosis of SCID were cost-effective, which can reduce severe infections in patients and treatment costs while improving patient’s survival. ConclusionCurrent evidence shows that early diagnosis of PID can reduce costs and improve benefits. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify above conclusion.
Diabetes retinopathy (DR) is listed as one of the chronic diseases that should be focused on in the “14th Five-Year” National Eye Health Plan (2021-2025). Early screening is one of the effective measures to reduce blindness caused by DR. Establishing an efficient and practical community screening model is a powerful guarantee for completing early screening. The Ocular Fundus Diseases Group of the Ophthalmology Branch of the Chinese Medical Association has led the development of Expert consensus on community screening of diabetic retinopathy among DR community screening experts that is suitable for the current national situation, in order to guide and promote the further improvement of DR community screening work in China. This Expert Consensus provides detailed specifications on the current domestic trend of DR, the necessity of screening, the role of artificial intelligence grading, screening process, and quality control. This interpretation further emphasizes the importance of DR community screening, while emphasizing the responsibilities of different departments in the screening process. Finally, recommendations are provided for the sustainability of DR community screening. It is hoped that the screening rate of DR in China can be improved and blindness can be reduced by DR through Expert consensus on community screening of diabetic retinopathy and interpretation of the content.
Glaucoma is the leading cause of irreversible blindness, but its early symptoms are not obvious and are easily overlooked, so early screening for glaucoma is particularly important. The cup to disc ratio is an important indicator for clinical glaucoma screening, and accurate segmentation of the optic cup and disc is the key to calculating the cup to disc ratio. In this paper, a full convolutional neural network with residual multi-scale convolution module was proposed for the optic cup and disc segmentation. First, the fundus image was contrast enhanced and polar transformation was introduced. Subsequently, W-Net was used as the backbone network, which replaced the standard convolution unit with the residual multi-scale full convolution module, the input port was added to the image pyramid to construct the multi-scale input, and the side output layer was used as the early classifier to generate the local prediction output. Finally, a new multi-tag loss function was proposed to guide network segmentation. The mean intersection over union of the optic cup and disc segmentation in the REFUGE dataset was 0.904 0 and 0.955 3 respectively, and the overlapping error was 0.178 0 and 0.066 5 respectively. The results show that this method not only realizes the joint segmentation of cup and disc, but also improves the segmentation accuracy effectively, which could be helpful for the promotion of large-scale early glaucoma screening.
Objective To define an evidence-based conclusion concerning ultrasound screening for fetal genital system malformations during pregnancy. Methods In order to assess whether or not ultrasound screening for fetal genital system malformations is effective and feasible, we searched The Cochrane Library (Issue 3, 2009), MEDLINE (1981 to 2009), ACP Journal Club (1991 to 2008), and BMJ Clinical Evidence (1999 to 2008) for systematic reviews, randomized controlled trials (RCTs), cohort studies, and controlled clinical trials. Results Five cohort studies and three crosssectional studies were retrieved. The results showed ultrasound screening detected fetal sex determination by the contour of the rump and the angle of the genital tubercle to a horizontal line through the lumbosacral skin surface in the first trimester. Scrotal size and penile length increases with gestational age for male fetuses, and by 32 weeks, bilateral testicular descent was observed in most cases. Ultrasonographic scans, fetal genetic studies, and hormonal assays of amniotic fluid can diagnosis certain diseases, fetal sex differentiation disorders, fetal endocrinal disorders, and chromosome abnormality. Conclusion The findings of this study should reassure physicians and parents alike that ultrasound screening is an reliable option for the prenatal diagnosis of fetal genital system malformations, but more randomized controlled trials are needed to further supply relevant evidence.
ObjectivesTo explore the effect of the deep learning algorithm convolutional neural network (CNN) in screening of randomized controlled trials (RCTs) in Chinese medical literatures.MethodsLiterature with the topic " oral science” published in 2014 were retrieved from CNKI and exported citations containing title and abstract. RCTs screening was conducted by double independent screening, checking and peer discussion. The final results of the citations were used for CNN algorithm model training. After completing the algorithm model training, a prospective comparative trial was organized by searching all literature with the topic "oral science" published in CNKI from January to March 2018 to compare the sensitivity (SEN) and specificity (SPE) of algorithm with manual screening. The initial results of a single screener represented the performance of manual screening, and the final results after peer discussion were used as the gold standard. The best thresholds of algorithm were determined with the receptor operative characteristic (ROC) curve.ResultsA total of 1 246 RCTs and 4 754 non-RCTs were eventually included for training and testing of CNN algorithm model. 249 RCTs and 949 non-RCTs were included in the prospective trial. The SEN and SPE of manual screening were 98.01% and 98.82%. For the algorithm model, the SEN of RCTs screening decreased with the increase of threshold value while the SPE increased with the increase of threshold value. After 27 changes of threshold value, ROC curve were obtained. The area under the ROC curve was 0.9977, unveiling the optimal accuracy threshold (Threshold=0.4, SEN=98.39%, SPE=98.84%) and high sensitivity threshold (Threshold=0.06, SEN=99.60%, SPE=94.10%).ConclusionsA CNN algorithm model is trained with Chinese RCTs classification database established in this study and shows an excellent classification performance in screening RCTs of Chinese medical literature, which is proved to be comparable to the manual screening performance in the prospective controlled trial.