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.
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.
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.
ObjectiveTo systematically review the value of mass screening of serum pepsinogen test for Asian population with high-risk gastric carcinoma.
MethodsWe electronically searched databases including PubMed, EMbase, The Cochrane Library (Issue 12, 2013), CNKI, WanFang Data, VIP and CBM for diagnostic tests on serum pepsinogen test versus with pathological biopsy/X-ray examination (gold standard) between January 2004 and January 2014. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed methodological quality of included studies. Then meta-analysis was conducted using Meta-DiSc software (version 1.4).
ResultsA total of 15 studies involving 180 934 subjects were included. ROC curve showed "shoulder-arm shape" distribution. The results of Spearman correlation analysis suggested a significance of the threshold effect (P=0.001). The results of meta-analysis showed that, the area under curve (AUC) was 0.74.
ConclusionSerum pepsinogen has good value in the screening of gastric carcinoma among Asian permanent residents. Due to limited quality of studies, the above conclusion should be verified by conducting more high quality studies.
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.
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 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.
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.
Currently,lung cancer (LC) has one of the highest incidence rates among various malignant tumors worldwide,and the annual mortality rate of LC has ranked first among all malignant tumors. About 80% of LC patients present to the hospital in a late advanced stage and lose the chance of surgical resection. Among all the patients who receive surgical treatment,the 5-year mortality rate of patients with early TNM stages is far lower than that of patients with advanced stage LC. With the advancement of medical equipment and more people who receive routine medical examination,more and more patients with small pulmonary nodules are discovered. Limited lung resection,including wedge resection and segmental resection,can be performed with minimally invasive video-assisted thoracoscopic surgery for these patients to acquire equivalent surgical outcomes as traditional lobectomy and a much better postoperative quality of life. LC screening increases the chances of early detection and diagnosis of LC patients,so these patients can receive reasonable diagnosis and treatment at an early stage. This strategy can greatly reduce treatment cost and mortality,and achieve maximal treatment benefits with minimal economic and medical cost. This review focuses on the necessity,high-risk groups,evaluation criteria and methods of LC screening with some LC screening guidelines and research studies in order to provide reasonable and feasible screening strategies and references for clinical LC screening.
Diabetes mellitus patients are usually at high risk of developing tuberculosis, the immune dysfunction caused by long-term high blood sugar, which can increase the susceptibility to tuberculosis. Severe tuberculosis could accelerate the course of diabetes mellitus and pose great difficulty to the clinical treatment. Therefore, early detection of potential tuberculosis patients in diabetes mellitus patients through tuberculosis screening and implementation of “three early” treatment can greatly improve the quality life of patients. This review summarizes the feasibility of tuberculosis screening in patients with diabetes mellitus, and to provide reference for the prevention and control of diabetes mellitus combined with tuberculosis.
