Objective To investigate the feasibility of collecting exhaled breath condensate ( EBC)fromartificially ventilated patients with modified EcoScreen condenser. Methods ①In vitro test with lung simulator: the modified EcoScreen condenser was connected to lung simulator and mechanically ventilated for 60 min through three different types of connected tube as follows: dry ventilator pipe disconnected to humidifier, connected to the unheated humidifier, and connected to heated humidifier.Meanwhile, the changes of the peak pressure of inspiration ( PI) and tidal volume ( VT ) were observed. The volume of condensate was measured at last. ②In vivo test from artificially ventilated patients: 10 patients were artificially ventilated and their EBCs were collected with the modified EcoScreen condenser through dry pipe disconnected to humidifier for 20 min. The changes of PI, VT , respiratory frequency( f) , heart rate( HR) , mean arterial blood pressure ( MAP) , and blood oxygen saturation ( SpO2 ) were observed. Results ①In vitro test with lung simulator: At the end of the ventilating through the dry pipe disconnected to humidifier for 60 min,2. 2 mL condensate wascollected. Neither the change of PI or VT nor the obstruction of the collecting tube by iced condensate were observed. The ventilating through dry pipe connected to unheated humidifier had to stop at 50 min as the obstruction of the collecting tube caused by ice. 5 mL condensate was collected. It was observed that VTdecreased and PI increased. After ventilation through dry pipe connected to heated humidifier for 60 min,10. 5 mL condensate was collected while PI slightly increased and VT decreased. ② In vivo test from artificially ventilated patients: After ventilation through dry pipe disconnected to humidifier for 20 min, 2 mL EBC was collected without significance changes in PI, VT, f, HR, MAP, and SpO2 . Conclusions The modified EcoScreen condenser can be favourably applied to artificially ventilated patients for collecting EBC.It is recommended to performfor 20 min through the pipe disconnected to humidifier to obtain sufficient EBC without condensate dilution and airway obstruction. It is warranted more attention to the clinical and mechanical monitoring in this procedure.
Objective To systematically review the current situation of health economics evaluation of gastric cancer screening. Methods The PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data and VIP databases were electronically searched to collect the health economics evaluation studies on gastric cancer screening from January 1st, 1975 to September 30th, 2021. Two reviewers independently screened the literature, extracted data and assessed the risk of bias of the included studies. Then, qualitative analysis was performed. Results A total of 44 studies were included. Most of the targeted populations of the study were high-risk groups in areas with a high incidence of gastric cancer. Screening methods such as endoscopy and Helicobacter pylori infection detection were mainly evaluated in those studies. According to the results, about 47% of the studies evaluated a single screening method. A total of 35 studies showed that they established models, however, only a few calibrated the models. Conclusion Most studies of gastric cancer screening reviews neither calibrate the results nor consider the effect of smoking on the progression of gastric cancer. Those evaluated screening programs are limited.
ObjectiveTo evaluate the performance of nuchal translucency (NT) measurement in the first trimester of pregnancy as a marker for congenital heart defects (CHD). MethodsFrom January 2010 to December 2012, middle-low risk pregnant women were prospectively evaluated at the Department of Ultrasound in West China Second Hospital of Sichuan University about Nuchal translucency and echocardiography. ResultsNT measurements was performed in 2 443 women from 2 764 pregnancy women, and a total of 2 125 case could be used in data analysis. NT measurement >2.5 mm was found in 68 fetuses, and 11 cases were diagnosed as CHD (prevalence 5.2/1 000). The sensitivity and specificity of NT measurement >2.5 mm for CHD were 45.5% and 87%, respectively. ConclusionIncreasing nuchal translucency might increase the risk of CHD in fetuses, and could be used as a method to diagnosis CHD.
Neuroblastoma (NB) is the most common extracranial solid malignant tumor in children. NB has various clinical manifestations, many of which are not specific, which ultimately lead to the delayed diagnosis of the tumor. In order to provide guidance for the identification of paediatric NB, the guideline for the identification and referral of suspected paediatric neuroblastoma is formulated and complied using a standard formulation process, and has received input from multidisciplinary experts, based on existing evidence, clinical practices and China's national conditions.
Objective To evaluate the cost-effectiveness of three LTBI screening strategies: the tuberculin skin test (TST), the T-SPOT.TB and the combination of TST and T-SPOT (TST+T.SPOT), to provide economic evidence for T.SPOT application in China. Methods A decision analysis model evaluated three strategies among a cohort of 1000 tuberculosis (TB) close contacts, using incremental cost-effectiveness of prevention a active TB patient (1 year post contact). Meta analyses were conducted to calculate the key parameters of T.SPOT and TST. The official data or literature was searched and the unaccessible data was to specify other parameters, such as cost, LTBI prevalence, etc. The one-way sensitivity analysis was performed, varying key parameters over a wide range of reasonable values to evaluate the impact of data uncertainties and to determine the robustness of our overall conclusion. Results a) As for the total cost, the TST+T.SPOT strategy (?212 213.81 per 1 000 contacts) cost the least, while the single T.SPOT strategy cost the most; b) Subsequently, the TST+T.SPOT strategy required less contacts to be treated to prevent an active case of TB (8.31) than the single TST strategy (25.67); c) the TST+T.SPOT strategy shared the most cost-effectiveness (?3 063.50 per active TB case prevented) than the single TST or T.SPOT strategy; and d) The results of one-way sensitivity analyses showed that cost-effectiveness values were sensitive to changes in LTBI prevalence (gt;60%), Sen and Spn of TST test (gt;70%), with the single TST being superior to the single T.SPOT. Conclusion The Single T.SPOT strategy enjoys the most cases prevented from active TB, while the TST+S.SPOT strategy is the most cost-effective. The conclusion is sensitive to a few parameters, such as LTBI prevalence, but the TST+T.SPOT strategy is always the best.
ObjectiveTo study the efficiency and difference of the artificial intelligence (AI) system based on fundus-reading in community and hospital scenarios in screening/diagnosing diabetic retinopathy (DR) among aged population, and further evaluate its application value. MethodsA combination of retrospective and prospective study. The clinical data of 1 608 elderly patients with diabetes were continuously treated in Henan Eye Hospital & Henan Eye Institute from July 2018 to March 2021, were collected. Among them, there were 659 males and 949 females; median age was 64 years old. From December 2018 to April 2019, 496 elderly diabetes patients were prospectively recruited in the community. Among them, there were 202 males and 294 female; median age was 62 years old. An ophthalmologist or a trained endocrinologist performed a non-mydriatic fundus color photographic examination in both eyes, and a 45° frontal radiograph was taken with the central fovea as the central posterior pole. The AI system was developed based on the deep learning YOLO source code, AI system based on the deep learning algorithm was applied in final diagnosis reporting by the "AI+manual-check" method. The diagnosis of DR were classified into 0-4 stage. The 2-4 stage patients were classified into referral DR group. ResultsA total of 1 989 cases (94.5%, 1 989/2 104) were read by AI, of which 437 (88.1%, 437/496) and 1 552 (96.5%, 1 552/1 608) from the community and hospital, respectively. The reading rate of AI films from community sources was lower than that from hospital sources, and the difference was statistically significant (χ2=51.612, P<0.001). The main reasons for poor image quality in the community were small pupil (47.1%, 24/51), cataract (19.6%, 10/51), and cataract combined with small pupil (21.6%, 11/51). The total negative rate of DR was 62.4% (1 241/1 989); among them, the community and hospital sources were 84.2% and 56.3%, respectively, and the AI diagnosis negative rate of community source was higher than that of hospital, and the difference was statistically significant (χ2=113.108, P<0.001). AI diagnosis required referral to DR 20.2% (401/1 989). Among them, community and hospital sources were 6.4% and 24.0%, respectively. The rate of referral for DR for AI diagnosis from community sources was lower than that of hospitals, and the difference was statistically significant (χ2=65.655, P<0.001). There was a statistically significant difference in the composition ratio of patients with different stages of DR diagnosed by AI from different sources (χ2=13.435, P=0.001). Among them, community-derived patients were mainly DR without referral (52.2%, 36/69); hospital-derived patients were mainly DR requiring referral (54.9%, 373/679), and the detection rate of treated DR was higher (14.3%). The first rank of the order of the fundus lesions number automatically identified by AI was drusen (68.4%) and intraretinal hemorrhage (48.5%) in the communities and hospitals respectively. Conclusions It is more suitable for early and negative DR screening for its high non-referral DR detection rate in the community. Whilst referral DR were mainly found in hospital scenario.
Objective To develop an evaluation tool for the screening of high risk population for oral complications in critically ill patients, which can be performed accurately and scientifically. Methods Basing on the related foreign oral assessment scale, combined with the method of brainstorming, expert consultation, method of clinical status and so on, the item pool of the assessment scale was determined. Five nursing experts and two oral experts assessed the content validity and 50 ICU nurses were tested. Then, the screening accuracy of the assessment scale was proved by application in 100 critically ill patients selected randomly. Results The Cronbach’s a coefficient of final version of the High Risk Assessment Scale for Oral Complications in Critically Ill Patients (including seven parts contents of oral health assessment and oral pH value test) was 0.815, the content validity index (Sr-CVI/Ave) was 0.932. The results of 50 nurses to the 91.2% assessment items of the assessment scale were very important and important. For screening related indicators of oral complications in high-risk patients, the sensitivity of the assessment scale was 97.53%, the specificity was 94.11%, the positive predictive value was 98.75%, the negative predictive value was 88.89%, and the crude agreement was 95%. Conclusion There are good reliability, validity and a high accuracy of screening test in the High Risk Assessment Scale for Oral Complications in Critically Ill Patients. It can be used for screening patients at high risk for oral complications in critically ill patients, and help clinical nurses to complete the oral health status of the critically ill patients quickly.
With the popularity and development of artificial intelligence (AI), disease screening systems based on AI algorithms are gradually emerging in the medical field. Such systems can be used for primary screening of diseases to relieve the pressure on primary health care. In recent years, AI algorithms have demonstrated good performance in the analysis and identification of lesion signs in the macular region of fundus color photography, and a screening system for fundus lesion signs applicable to primary screening is bound to emerge in the future. Therefore, to standardize the design and clinical application of the macular region lesion sign screening systems based on AI algorithms, the Ocular Fundus Diseases Group of Chinese Ophthalmological Society, in collaboration with relevant experts, has developed this guideline after investigating issues, discussing production evidence, and holding guideline workshops. This guideline aims to establish uniform standards for the definition of the macular region and lesion signs, AI adoption scenarios, algorithm model construction, datasets establishment and labeling, architecture and functions design, and image data acquisition for the screening system to guide the implementation of the screening work.
Colorectal cancer (CRC) screening is effective in reducing the burden of the disease. Participation rate is an important determinant of the magnitude of the effectiveness in population-based CRC screening. We summarize the current status of participation rate across the different organized CRC screening programs in China. The results indicate that the overall participation rates are low, and the acceptance of the screening protocols is poor in Chinese population. We conclude that the associated factors may include the poor health consciousness, low willingness-to-pay for screening, lack of personalized screening strategy and inadequate organization. Studies on the inventions to improve the willingness of screening and participation rate are of high demand and will provide important references in implementing large-scale CRC screening programs in China in the future.
Place cell with location tuning characteristics play an important role in brain spatial cognition and navigation, but there is relatively little research on place cell screening and its influencing factors. Taking pigeons as model animals, the screening process of pigeon place cell was given by using the spike signal in pigeon hippocampus under free activity. The effects of grid number and filter kernel size on the place field of place cells during the screening process were analyzed. The results from the real and simulation data showed that the proposed place cell screening method presented in this study could effectively screen out place cell, and the research found that the size of place field was basically inversely proportional to the number of grids divided, and was basically proportional to the size of Gaussian filter kernel in the overall trend. This result will not only help to determine the appropriate parameters in the place cell screening process, but also promote the research on the neural mechanism of spatial cognition and navigation of birds such as pigeons.