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 establish a screening model for obstructive sleep apnea hypopnea syndrome (OSAHS) through data analysis, and explore the risk factors of OSAHS. MethodsA total of 558 patients who underwent polysomnography in the Sleep Monitoring Room of Zigong Fourth People’s Hospital were recruited in the study. Among them there were 163 cases in a snore group and 395 cases in an OSAHS group. Risk factors of OSAHS were screened by both univariate analysis and multivariate analysis, then the model was established by means of binary logistic regression analysis. Finally, the screening model was evaluated by receiver operating characteristic (ROC) curve of the combined predictive factor. ResultsThe screening model of OSAHS was established as: X=–10.286+0.280×body mass index+1.057×snoring degree+1.124×sex+0.085×Epworth score+0.036×age. In this equation, sex value was 1 for men and 0 for women. If the value of X is higher than 1.123, it is likely that OSAHS would occur, and the probability (P)=ex/(1+ex). The sensitivity of the screening model was 77.70%, the specificity was 85.89%, the area under the ROC curve was 0.890, and the 95% confidence interval ranged from 0.862 to 0.918. ConclusionThis study demonstrates that a screening model based on the snoring degree, Epworth score, and body measurement data is a valuable tool to predict and screen OSAHS in patients with snoring, and the screening model could be useful in clinical diagnosis of OSAHS.
ObjectiveTo explore the nutritional status of inpatients with chronic kidney disease (CKD) and analyze the factors affecting nutritional risk, to provide theoretical basis for further nutritional support.MethodsConvenience sampling method was adopted to select 719 inpatients with CKD as research subjects in a tertiary hospital in Chengdu, Sichuan Province from January to March 2018. Nutritional Risk Screening 2002 was used for nutritional risk screening, and chi-square test, t test, one-way analysis of variance, and multiple linear regression analysis were used to explore the influencing factors of nutritional risk.ResultsAmong the 719 cases, whose average nutritional risk score was 1.79±1.11, 158 cases had nutritional risk, accounting for 22.0%. There were statistically significant differences in nutritional risk score between patients of age<60 years and ≥60 years, between males and females, between patients with CKD stage 1-3 and stage 4-5, between patients with serum albumin level <30 g/L and ≥30 g/L, and between patients with and without anaemia (P<0.05). The results of multiple linear regression analysis showed that the nutritional risk score of CKD patients was negatively correlated to serum albumin level (P=0.016), positively correlated to age (P<0.001), and higher in females than that in males (P=0.001).ConclusionsInpatients with CKD have a higher nutritional risk, with age, gender and serum albumin as the main influencing factors. Based on the above factors, the medical staff should continue to take targeted intervention measures to assess the nutritional status of CKD inpatients early and conveniently, so as to provide scientific basis for further nutritional support and nutritional nursing.
ObjectiveTo systematically review the accuracy of different stroke-associated pneumonia (SAP) assessment tools. MethodsThe PubMed, Cochrane Library, Embase, Web of Science, CNKI, VIP, WanFang Data, and CBM databases were electronically searched to collect studies related to the objectives from inception to January 2024. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. A network meta-analysis was then performed by using Meta-disc 1.4 and Stata 17.0 software. ResultsA total of 20 studies were included, involving 6 SAP assessment tools. The results of network meta-analysis showed that the sensitivity of AIS-APS was higher than that of A2DS2, and the specificity of A2DS2 was higher than that of PANTHERIS, and the difference was statistically significant. The sensitivity SUCRA values from high to low were: AIS-APS (95.6%) > PANTHERIS (46.7%) > Kwon (44.1%) > A2DS2 (40.5%) > Chumbler (37.3%) > ISAN (35.8%). The specificity SUCRA values from high to low were: A2DS2 (84.0%) > Chumbler (66.0%) > ISAN (59.5%) > AIS-APS (41.4%) > Kwon (37.0%) > PANTHERIS (12.1%) ConclusionAmong the common stroke-associated pneumonia screening tools used to screen patients with ischemic stroke, AIS-APS has the highest sensitivity and A2DS2 has the highest specificity.
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.
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.
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.
ObjectivesTo evaluate the accuracy of liver cancer screening techniques to inform screening intervention and early diagnosis.MethodsWe searched PubMed, The Cochrane Library, EMbase, Web of Science, CNKI, WanFang Data, CBM, VIP databases to collect relevant diagnostic accuracy studies of screening technologies for liver cancer from January 1980 to December 2017. Two reviewers independently screened the literature, extracted the data and assessed the risk of bias of included studies. Then meta-analysis was performed by using Meta-Disc 1.4 software.ResultsA total of 54 publications with 47 728 individuals were included. In terms of pooled sensitivity from the meta-analysis, it was estimated as 0.71 (95%CI 0.70 to 0.72), 0.57 (95%CI 0.56 to 0.59) and 0.43 (95%CI 0.41 to 0.45); the pooled specificity was estimated as 0.92 (95%CI 0.92 to 0.93), 0.95 (95%CI 0.94 to 0.96) and 0.95 (95%CI 0.94 to 0.96); the pooled positive likelihood ratio was 5.65 (95%CI 4.37 to 7.30), 13.24(95%CI 4.25 to 41.22) and 11.39 (95%CI 4.01 to 32.35); the pooled negative likelihood ratio was 0.35 (95%CI 0.31 to 0.39), 0.38 (95%CI 0.29 to 0.52) and 0.49 (95%CI 0.39 to 0.62); the diagnosis odds ratio was 17.23 (95%CI 12.26 to 24.20), 33.79 (95%CI 12.65 to 90.24) and 24.41(95%CI 9.23 to 64.53) for AFP alone with cut-off of 20, 200 and 400 ng/mL, respectively. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnosis odds ratio were 0.65 (95%CI 0.62 to 0.69), 0.97 (95%CI 0.97 to 0.97), 16.48 (95%CI 9.55 to 28.42), 0.27 (95%CI 0.18 to 0.42) and 64.54 (95%CI 30.16 to 138.11) for ultrasound examination alone. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnosis odds ratio were 0.96 (95%CI 0.94 to 0.98), 0.96 (95%CI 0.96 to 0.96), 10.76 (95%CI 2.62 to 44.27), 0.07 (95%CI 0.02 to 0.22) and 160.59 (95%CI 31.61 to 816.03) for the combined strategy.ConclusionFor liver cancer screening technologies, the overall accuracy of serum AFP test alone is the optimum at cut-off of 20 ng/mL, and the sensitivity increased substantially when combined with ultrasound examination.
ObjectiveTo evaluate the risk of bias and reliability of conclusions of systematic reviews (SRs) of lung cancer screening. MethodsWe searched PubMed, EMbase, The Cochrane Library (Issue 2, 2016), Web of Knowledge, CBM, WanFang Data and CNKI to collect SRs of lung cancer screening from inception to February 29th, 2016. The ROBIS tool was applied to assess the risk of bias of included SRs, and then GRADE system was used for evidence quality assessment of outcomes of SRs. ResultsA total of 11 SRs involving 5 outcomes (mortality, detection rate, survival rate, over-diagnosis and potential benefits and harms) were included. The results of risk of bias assessment by ROBIS tool showed:Two studies completely matched the 4 questions of phase 1. In the phase 2, 6 studies were low risk of bias in the including criteria field; 8 studies were low risk of bias in the literature search and screening field; 3 studies were low risk of bias in the data abstraction and quality assessment field; and 5 studies were low risk of bias in the data synthesis field. In the phase 3 of comprehensive risk of bias results, 5 studies were low risk. The results of evidence quality assessment by GRADE system showed:three studies had A level evidence on the outcome of mortality; 1 study had A level evidence on detection; 1 study had A level evidence on survival rate; 3 studies on over-diagnosis had C level evidence; and 2 studies on potential benefits and harms had B level evidence. ConclusionThe risk of bias of SRs of lung cancer screening is totally modest; however, the evidence quality of outcomes of these SRs is totally low. Clinicians should cautiously use these evidence to make decision based on local situation.