Prostate cancer is a common disease in the USA and Europe, with a gradually increasing incidence in China, and presents a significant health burden for older men. The lack of modifiable risk factors has made early detection as a strategy to reduce mortality. Current methods of screening involve the measurement of serum prostate-specific antigen (PSA) and digital rectal examination followed by biopsy. With PSA screening evidence of level I absent, the evidence on the use of PSA as a screening test is still highly controversial. Furthermore, there is controversy over whether screen-detected lesions will become clinically significant. There are three major treatment options for localized disease: radical prostatectomy, radical radiotherapy and monitoring with treatment if required. There is no evidence of randomized controlled trial (RCT) to suggest a survival advantage of any of these treatments. Opinions about the related benefits and risks of screening vary widely. In the absence of RCT of benefit for screening, many now suggest “informed consensus” screening, which encourages a discussion between the patient and his physician with both sides informed of all of the issues.
Objective To investigate the nutritional status of hospitalized patients with chronic kidney disease (CKD), analyze the influencing factors, and construct a predictive model to provide a localized theoretical basis and more convenient risk prediction indicators and models for clinical nutrition support and intervention treatment of CKD patients in China. Methods Convenience sampling was used to select hospitalized CKD patients from Department of Nephrology, West China Hospital, Sichuan University, from January to October 2019. General information questionnaires, the Nutritional Risk Screening 2002 scale, and the Huaxi Emotional-distress Index questionnaire were used for data collection. Single factor analyses and multiple logistic regression analysis were conducted to explore the risk factors for malnutrition in CKD hospitalized patients. A predictive model was established and evaluated using receiver operating characteristic (ROC) curve analysis and bootstrap resampling. Results A total of 1059 valid copies of questionnaires were collected out of 1118 distributed. Among the 1059 CKD hospitalized patients, 207 cases (19.5%) were identified as having nutritional risk. The multiple logistic regression analysis showed that CKD stage [odds ratio (OR)=1.874, 95% confidence interval (CI) (1.631, 2.152), P<0.001], age [OR=1.015, 95%CI (1.003, 1.028), P=0.018], and the Huaxi Emotional-distress Index [OR=1.024, 95%CI (1.002, 1.048), P=0.033] were independent risk factors for malnutrition in CKD hospitalized patients, while serum albumin [OR=0.880, 95%CI (0.854, 0.907), P<0.001] was an independent protective factor. The evaluation of the multiple logistic regression analysis predictive model showed a concordance index of 0.977, standard deviation of 0.021, and P<0.05. The area under the ROC curve was 0.977. Conclusions The prevalence of malnutrition is relatively high among CKD hospitalized patients. CKD stage, age, psychological status, and serum albumin are influencing factors for malnutrition in CKD hospitalized patients. The multiple logistic regression model based on the above indicators demonstrates good predictive performance and is expected to provide assistance for early nutritional intervention to improve the clinical outcomes and quality of life for CKD patients with malnutrition in China.
During the prevention and control of coronavirus disease 2019, West China Hospital of Sichuan University urgently set up 4 medical tents to conduct centralized screening of fever patients, effectively avoiding cross-infection, and at the same time alleviating the pressure on the Department of Emergency Medicine and improving the efficiency of medical treatment for patients with fever. Later, in order to actively respond to China’s severe acute respiratory syndrome coronavirus 2 nucleic acid detection policy, 5 tents were adjusted to carry out the severe acute respiratory syndrome coronavirus 2 nucleic acid detection. This article introduces the function setting, personnel arrangement and protective measures of medical tents in West China Hospital of Sichuan University during the prevention and control of coronavirus disease 2019. It aims to share the experience of urgently setting up medical tents in the prevention and control of coronavirus disease 2019, with a view to provide a reference for the construction of medical tents in other medical institutions.
ObjectiveTo sort out the historical evolution of diagnostic screening methods for pancreatic cancer, and to explore how to achieve early diagnosis and treatment of pancreatic cancer in the context of China’s large population base and economic development.MethodsSystematic review was performed. The computer was used to search databases inchuding CNKI, VIP, WanFang Data, Web of Science, PubMed and EMbase. Two researchers independently searched Baidu search engine to collect relevant reports on screening methods and effect evaluation of pancreatic cancer published before February 28, 2018, and a qualitative descroption was made.ResultsA total of 117 articles were included in the study. The exploration of screening methods for pancreatic cancer in China has experienced three stages: germination, enlightenment and growth. Current screening methods include clinical manifestations, imaging screening methods, serum tumor markers and molecular biology gene diagnosis, each of which had its advantages and disadvantages. Single method could not achieve higher specificity and sensitivity, and joint detection had become an inevitable trend. Considering the benefit of practical application, screening among high-risk groups could effectively reduce the population size and achieve accurate screening.ConclusionThere was a big gap between domestic and foreign research in screening for pancreatic cancer. Screening methods are diverse, and joint detection is an inevitable trend. Screening for pancreatic cancer in high-risk population will become a breakthrough under the technical bottleneck.
Diabetic retinopathy (DR) is the most common cause of preventable blindness in the working-age population. In addition to optimizing the hyperglycemia, hypertension, hyperlipidemia and other risk factors, regular fundus examination is essential for early diagnosis asymptomatic DR and timely treat the sight-threatening DR, so as to reduce blindness and severe visual impairment caused by DR. Clinical practice guidelines for the screening and management of DR have been implemented throughout the world, but there are reasonable differences between existing guidelines in the recommended timing of first retinal examination, screening intervals, methods for examination and criteria for referral to an ophthalmologist. It is of great clinical significance to have a detailed understanding of the current guidelines for DR screening and their clinical basis.
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.
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 analyze the perdictive value of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) for malnutrition or postoperative complications in children with critical congenital heart disease (CHD).MethodsA total of 875 children with critical CHD who were hospitalized in West China Hospital, Sichuan University form August 2019 to February 2021, including 442 males and 433 females with a median age of 30 (12, 48) months, were assessed by STAMP in Health Information System. Clinical data of postoperative complications were collected.Results(1) Based on World Health Organization Z-score as gold standard, 24.5% had malnutrition risk, and 34.3% were diagnosed with malnutrition. According to STAMP, the children were with medium malnutrition risk of 37.9% and high malnutrition risk of 62.1%. There was a statistical difference of incidence rate of malnutrition and detection rate of STAMP malnutrition risk in gender, age, ICU stay or length of mechanical ventilation (P<0.05); (2) with the optimal cut-off point of 5.5 in STAMP for malnutrition, the sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) were 68.3%, 84.3%, 48.1%, 88.3% and 0.82, respectively; (3) 12.0% of the children were with postoperative complications; (4) with the optimal cut-off point of 5.5 in STAMP for postoperative complications, the sensitivity, specificity, positive predictive value, negative predictive value and AUC were 83.8%, 73.1%, 18.8%, 99.1% and 0.85, respectively.ConclusionChildren with critical CHD have a higher incidence of malnutrition risk and postoperative complications. STAMP has a good perdictive value for malnutrition or postoperative complications, however, the sensitivity and specificity of STAMP are affected by the gold standard or the cut-off point.
Objective To investigate the incidence of retinopathy of prematuri ty (ROP) in the area of Shanghai, and to provide the preliminary data for the ev aluation of present criteria for ROP screening. Methods Record s of 289 prematur e infants who had undergone ROP screening from the four NICU in Shanghai between February 2004 and January 2005 were analyzed. Screening criteria included prete rm infants or low birth weight (LBW) infants with BW of 2000g or less. The first examination starts at 4 to 6 weeks chronologic age or 32 weeks post conceptual age. Results In the 289 screened infants, 19 had developed acu te ROP. There we re 3 threshold ROP, 7 prethreshold ROP and 9 developed ROP less than prethreshol d. The incidence of ROP was 6.6%. According to the British recommended guideline s（BWle;1500 g or GAle;31 weeks）, only 119 out of 289 needed screening and one ca se of stage 1 ROP was missed; the incidence of ROP was 15.1% (18/119). When lowered sc reening criteria to the American guidelines（BWle;1500g or GAle;28 weeks）, t here were only 83 infants needed screening, and we missed 2 stage 1 and 1 prethreshold ROP and the incidence of ROP was 19.3% (16/83). Conclusions The i ncidence of ROP i s 6.6% according to our study. It is lower than other reports and it has somethi ng to do with our present screening guideline. Further epidemiological data are needed to modify the guideline accordingly.
ObjectiveTo analyze the sensitivity of peak flow meter screening in different subgroups of chronic obstructive pulmonary disease (COPD). MethodsA total of 156 outpatients with COPD from Peking Union Medical Hospital from May 2013 to December 2014 were recruited in the study. Each patient's symptoms,history of exposure to risk factors,and the times of exacerbation in last year was recorded. All patients completed CAT,mMRC,the St George's Respiratory Questionnaire (SGRQ),6 minutes walking test,spirometry,and peak expiratory flow (PEF) by peak flow meter. ResultsUsing the cut-off of PEF%pred=80%,the PEF detected 120 COPD patients in 156 subjects. The predictive factors of abnormal PEF%pred in COPD was FEV1%pred and the total score of SGRQ (P<0.05). PEF screening could identify 76.9% of COPD patients,30.0%-60.0% of patients of less symptoms (mMRC<2 or CAT<10 or SGRQ<25),83.3%-90.9% of COPD patients with more symptoms (mMRC ≥ 2 or CAT ≥ 10 or SGRQ ≥ 25),27.7% of COPD patients with mild airflow limitation,68.5% of COPD patients with moderate airflow limitation,83.3% of COPD patients with moderate to very severe airflow limitation. When grouped by GOLD combined assessment method,PEF screening could identify 35.2% of patients of group A,75.0% of patients of group B,and 95.9% of patients of group C and D. The cut-off value of PEF% pred=80% showed low sensitivity to early stage of COPD,but when using the cut-off value of PEF% pred=95%,that sensitivity increased signifcantly. ConclusionsPeak flow meter may be used as a tool to screen COPD. It can identify part of COPD patients especially for those patients with more symptoms,requiring regular treatment,with deteriorated pulmonary function and high risk of exacerbation.