Objective: To explore the effect of the comprehensive intervention on overweight and obesity among middle school students at the population level (health education lecture and official account push) and individual level (personalized dietary guidance), so as to provide a reference for preventing and controlling their overweight and obesity. Methods: Three junior high schools and three senior high schools were randomly selected in Guangzhou in 2018 by convenience sampling. Through physical examination, 1 457 overweight and obese students aged from 12 to 18 years old were screened. Intervention was administered through "Student Personalized Dietary Guidance" manual, health tweets on the official accounts, and health education lectures from September 2018 to December 2019. The Chi square test was used to compare the difference in overweight and obesity constituent ratio between the two groups before and after the intervention. And intervention effect was evaluated by analyzing the number needed to treated(NTT). Results: The proportion of overweight before the intervention was 66.71% (972/1 457), and decreased to 59.92% (873/1 457) after the intervention; the proportion of obesity before the intervention was 33.29% (485/1 457), which decreased to 26.63% (388/1 457) after the intervention. Among obese students, the smallest NNT was seen in the girl group aged 12-13 years (NNT=2.6, 95% CI =1.9-4.1), while the largest NNT in the boy group aged 14-18 years (NNT=5.9, 95% CI =4.7-8.1). The NNT of the girls aged 12-13 years was the smallest (NNT=2.7, 95% CI =2.2-3.5), and the NNT of the boys aged 14-18 years was the largest (NNT=7.4, 95% CI =6.0-9.7). Conclusion Health education at population level (health education lectures, official account push) with individual level (personalized dietary guidance) can effectively intervene overweight and obesity among middle school students in Guangzhou.

Objective: To explore the association between maternal pre pregnancy and pre delivery overweight with overweight and obesity among offspring during adolescence in Guangzhou, and to provide evidence for child obesity prevention. Methods: Based on the routine physical examination of primary and secondary school students in Guangzhou, random sampling was used to 6 middle schools and questionnaire survey was conducted among 3 384 students and their parents. Students with overweight and obesity were included in the case group, and the other students were included in the control group. Propensity Score Matching (PSM) was adopted to reduce selection bias. Logistic regression model and χ 2 test were used to analyze the data before and after PSM. Results: The result of univariate analysis showed that there were statistically significant differences between overweight/obese group and the control group by gender, schooling stage (middle and high schools), picky eater, family history of obesity, family monthly income, delivery mode, high birthweight, and gestational weight gain before PSM( χ 2=42.38, 10.64, 14.47, 26.85, 10.58, 13.59 , 15.53, 20.64, P <0.05). After PSM, results showed that there were no statistically significant differences between overweight/obese group and the control group in middle and high schools, and mother delivery mode( P >0.05). Logistic regression analysis showed that the risk of overweight and obesity of maternal pre pregnancy on adolescent offspring was 1.54 times higher than control group (95% CI =1.01-2.36) before PSM, and the overweight and obesity of maternal predelivery also increased the risk of overweight and obesity of adolescent offspring( OR=2.35, 95%CI =1.67-3.31). After PSM, maternal overweight and obesity pre pregnancy ( OR=2.17, 95%CI =1.41-3.34) and maternal overweight and obesity pre delivery( OR=2.99, 95%CI =2.08-4.31) significantly increased the risk of overweight and obesity in adolescent offspring. Conclusion Maternal overweight and obesity pre pregnancy and pre delivery are associated with increased risk of overweight and obesity in adolescent offspring.

Objective:To evaluate the distribution and drug sensitivity of pathogenic bacteria in patients with bacterial keratitis in recent 40 years in China.Methods:A Meta-analysis was conducted.Five databases including PubMed, ScienceDirect, Embase, CNKI and Wanfang Data Knowledge Service Platform were searched.The research was limited to the hospital-based cross-sectional studies published in Chinese and English between 1980 and 2020, without limitations of subject.Two researchers followed the inclusion and exclusion criteria to complete literature retrieval, data extraction and methodological quality evaluation.The literature quality was assessed with reference to a methodological scoring system for rates. Q test and I2 test were used to quantify the degree of heterogeneity of the included literature.According to the heterogeneity, the fixed effects model or random-effects model was used to calculate the combined rates indicators to perform the Meta-analysis. Results:Twenty-seven original studies were incorporated, including 50 046 cases of bacterial keratitis.A random-effects model for the Meta-analysis showed that the positive rate of bacterial culture in bacterial keratitis was 28% (95% CI: 0.24-0.32). Among the culture-positive bacteria, the percentages of gram-positive cocci and gram-negative bacilli were 57% (95% CI: 0.52-0.62) and 32% (95% CI: 0.28-0.37), respectively.The percentages of gram-positive bacilli and gram-negative cocci were 8% (95% CI: 0.06-0.10) and 1% (95% CI: 0.01-0.02), respectively.In the recent 40 years, the proportion of gram-positive cocci isolated from corneas in China was on the rise, and the proportion of gram-negative bacilli was on the decline.Among them, coagulase-negative Staphylococcus accounted for 23% (95% CI: 0.17-0.30), followed by Pseudomonas aeruginosa 18% (95% CI: 0.14-0.23), Streptococcus pneumoniae 8% (95% CI: 0.06-0.12), Staphylococcus aureus 6% (95% CI: 0.04-0.08), Corynebacterium 4% (95% CI: 0.03-0.07), and Escherichia coli 4% (95% CI: 0.02-0.06). The results of the drug sensitivity test showed that gram-positive cocci were highly sensitive to vancomycin, moxifloxacin, levofloxacin and ofloxacin. Pseudomonas aeruginosa was most sensitive to tobramycin, and Escherichia coli was most sensitive to ofloxacin. Conclusions:This Meta-analysis indicates that the proportion of gram-positive cocci isolated from corneas in China has been on the rise, while the proportion of gram-negative bacilli was on the decline during the recent 40 years.Coagulase-negative Staphylococcus and Pseudomonas aeruginosa have become the most common pathogens of bacterial keratitis in China.The sensitivity of various bacteria to commonly used antibiotics shows a downward trend.The sensitive antibiotics should be selected correctly according to the drug sensitivity results.

Objective:To explore the clinical features of patients with syndrome of intracranial hypotension (SIH) complicated by bilateral chronic subdural hematoma (CSDH).Methods:A case-control study was conducted; 16 patients with SIH complicated with bilateral CSDH (SIH group) and 32 patients with bilateral CSDH (non-SIH group) admitted to Department of Neurology and Neurosurgery, Shanghai Tenth People's Hospital Affiliated to Tongji University from January 2016 to October 2020 were selected. The differences of demographic characteristics, initial symptoms, medical history and CT image features between the two groups were compared.Results:(1) In 16 patients from the SIH group, 13 (81.3%) complained of typical postural headache symptoms, 3 (18.6%) showed fake subarachnoid hemorrhage on CT, 80.0% (12/15) showed dural diffuse enhancement on MRI, and 33.3% (5/15) showed signs of brain droop. Spinal MRI showed 27.3% patients (3/11) had signs of intracranial cerebrospinal fluid leakage. Of the 10 patients underwent bilateral trepanation and drainage, 6 experienced postoperative deterioration (4 received multiple additional surgeries including decompressive craniectomy, and 1 severe patient died in hospital after giving up treatment due to malignant tumor). (2) SIH group had significantly younger age, and significantly lower percentages of patients with limb weakness symptoms, hypertension, head trauma histories and increased hematoma pressure during trepanation and drainage, significantly lower age-adjusted comorbidities index, significantly decreased total and differential thickness of bilateral hematoma on CT, significantly shorter disease course, and statistically higher proportion of patients with postural headache and hematoma uniform density than non-SIH group ( P<0.05). Conclusion:According to age, initial symptoms and CT features, bilateral CSDH patients caused by SIH can be identified to a certain extent, and cranial and spinal MRI is recommended for definitive diagnosis of SIH.

Machine learning, as the main technical direction of artificial intelligence, can help ophthalmologists to interpret and analyze the large amount of data generated by imaging equipment, and also simplify the diagnosis and treatment process.The early diagnosis and classification of keratoconus became the most important application of machine learning.The modeling methods of machine learning for diagnosing keratoconus usually included neural network and decision tree method.The sensitivity and specificity of these models for diagnosing keratoconus were more than 85%.Because there were large number of research parameters for the diagnosis of keratoconus and no adequate public data sets, it was difficult to evaluate the advantages and disadvantages of different research methods, which limited the clinical application of machine learning in the evaluation of keratoconus.The corneal refractive surgery preoperative evaluation had clinical problems of large data volume and difficult decision-making.Machine learning can assist in evaluating whether the patient is suitable for refractive surgery, of which specificity and sensitivity were above 90%.It was also able to predict postoperative visual quality with ocular parameters.In addition, machine learning can also help us to count corneal endothelial cell density and assess corneal epithelial damage.Machine learning method and big data modeling evaluation can assist doctors in accurate diagnosis and personalized evaluation of keratopathy.This article reviewed the recent literature on the application progress of machine learning in corneal-related diseases in recent years.

Objective: To investigate the distribution and drug resistance situation of staphylococcus aureus (SA) and methicillin-resistant staphylococcus aureus (MRSA) from the classroom environments in primary schools of Guangzhou. Methods: The air and the surfaces of door handles, desks, chairs, light switches and floor were sampled in the classrooms of 8 primary schools selected through stratified clustering method in Guangzhou from May to June, 2016. SA and MRSA were isolated and identified, and drug sensitivity tests were conducted. Results: A total of 760 samples were collected, the detection rate of SA and MRSA were 8.8% and 4.2%, respectively. There were statistically significant differences in the detection rate of staphylococcus aureus among different sampling sites(P<0.01).Detection of SA and MRSA on the floor,light’s witches and surface of deskes was both above 6.0%. The multiple drug resistance rate of MRSA was up to 100.0%, and the main resistance mode was Penicillin-Erythromycin-Rifampin-Tetracycline-Teicolanin. Conclusion MRSA can be detected in air, door handles, desk surface, chair surface, light switch and floor of primary schools. Relevant administration departments should pay attention to the environments health of Guangzhou primary schools.

Objective: To investigate the antibiotic resistance spectrum and genetic characteristics of multidrug-resistant Staphylococcus aureus(MDRSA) nasal isolate among primary school students, and to provide a scientific basis for the prevention and control of masal MDRSA resistance and the selection of clincal drugs in children. Methods: Antibiotic susceptibility experiments were performed on all SA isolates of 1 705 primary school students from 8 primary schools in Guangzhou selected by using multistage cluster stratified sampling method. MDRSA antibiotic susceptibility spectrum was analyzed, and the resistant, virulence and immune evasion cluster(IEC) genes detected by polymerase chain reaction(PCR). Results: The prevalence of MDRSA nasal carriage was 20.76%(354/1 705), and the proportion of multidrug resistance among SA isolates was 96.20%(354/368). The predominant resistant antibiotics of MDRSA isolates were penicillin(99.72%), erythromycin(96.33%), clindamycin(90.96%) and teicoplanin(90.11%). Notably, 240(67.80%, 240/354) MDRSA isolates were resistant to more than six antimicrobial categories. And the predominant detection rates of resistant genes were BlaZ(92.66%), Tet(M)(49.72%), virulence genes Tst(25.42%) and IEC genes Sak(92.09%), Hlb(61.58%). Conclusion We found high prevalence of nasal colonization MDRSA from healthy children. Moreover, MDRSA isolates has a high resistant rate to multiple antibiotics, and the proportion of resistant to ≥6 antimicrobial categories is high.

Since December 2019, the corona virus disease 2019 (COVID-19) caused by the 2019 novel coronavirus (2019-nCoV) has been reported in Wuhan, Hubei Province. Almost 70% of patients susceptible to 2019-nCoV are over age of 50 years, with extremely large proportion of critical illness and death of the elderly patients. Meanwhile, the elderly patients are at high risk of osteoporotic fractures especially osteoporotic vertebral compression fractures (OVCF). During the prevention and control of COVID-19 epidemic, orthopedists are confronted with the following difficulties including how to screen and protect OVCF patients, how to accurately diagnose and assess the condition of OVCF patients with suspected or confirmed COVID-19, and how to develop reasonable treatment plans and comprehensive protective measures in emergency and outpatient clinics. In order to standardize the diagnosis and treatment of patients with OVCF diagnosed with COVID-19, the authors jointly develop this expert consensus. The consensus systematically recommends the standardized emergency and outpatient screening and confirmation procedures for OVCF patients with suspected or confirmed COVID-19 and protective measures for emergency and outpatient clinics. Moreover, the consensus describes the grading and classification of OVCF patients diagnosed with COVID-19 according to the severity of illness and recommends different treatment plans and corresponding protective measures based on the different types and epidemic prevention and control requirements.

Objective To investigate the effectiveness of evoked potential in monitoring cerebral perfusion during carotid endarterectomy by a retrospective cohort study.Methods A retrospective cohort survey of clinical data of 59 patients,who underwent carotid endarterectomy in our hospital from September 2013 to December 2016,was performed.All patients were monitored by transcranial doppler ultrasonography (TCD) and somatosensory evoked potential (SEP),motor evoked potential (MEP) for changes of cerebral blood flow;the monitoring of TCD was defaulted as "gold standard",recording monitoring results at different time points.By drawing the four table,the sensitivity,specificity,positive predictive value,negative predictive value of SEP and MEP during cerebral hypoperfusion were calculated,and correlation analyses between SEP and TCD,and between MEP and TCD were performed.Through receiver operating characteristic (ROC) curve,SEP monitoring threshold of cerebral hypoperfusion was predicted.Results The sensitivity,specificity,positive predictive value,and negative predictive value of SEP in predicting intra-operative cerebral hypoperfusion were 60.00％,91.84％,60.00％,and 91.84％ when SEP amplitude declined beyond 50％;the sensitivity,specificity,positive predictive value and negative predictive value of SEP in predicting intra-operative cerebral hypoperfusion were 70.00％,93.88％,70.00％ and 93.88％ when SEP latency extended beyond 10％.The sensitivity,specificity,positive predictive value,and negative predictive value of MEP in predicting intra-operative cerebral hypoperfusion were 30.00％,97.96％,75.00％,and 87.27％ when MEP amplitude declined beyond 50％.Decline of SEP and MEP amplitudes and extension of SEP latency have positive correlations with TCD.ROC indicated that the amplitude of somatosensory evoked potentials could predict intraoperative hypoperfusion when it decreased by 51.0％ than the baseline monitoring value after carotid artery occlusion,with sensitivity of 100.0％,specificity of 89.8％ and area under the curve of 0.918 (95％CI:0.846～0.990,P=0.024).ROC also showed that the latent phase of somatosensory evoked potentials could predict intraoperative hypoperfusion when it was prolonged ＞9.8％ compared to the baseline monitoring value after carotid artery occlusion,with sensitivity of 100.0％,specificity of 92.9％and area under the curve of 0.941 (95％CI 0.878～0.995,P=0.014).Conclusion Evoked potentials can real-time monitor intra-operative cerebral hypoperfusion continuously in carotid endarterectomy,enjoying high sensitivity and specificity;in addition,decline of SEP amplitude and extension of SEP latency have higher sensitivity than MEP.

Objective To explore the association,consistency and complications prognostic value of thromboelastography and conventional coagulation tests in detecting coagulation function of antiplatelet after endovascular treatments in patients with acute ischemic stroke.Methods A retrospective cohort survey of 240 patients,admitted to our hospital from September 2012 to December 2017,was performed.All acute ischemic stroke patients accepted coagulation function monitoring 5 d after aspirin and clopidogrel and endovascular treatments by thromboelastography (R time,K time,α angle,maximum amplitude [MA]) and routine coagulation tests (prothrombin time [PT],activated partial thromboplastin time [APTT],fibrinogen [FIB],international normalized ratio [INR],blood platelet count).The association,consistency,and sensitivity,specificity,positive predictive value,negative predictive value of complications prognostic value of thromboelastography and conventional coagulation tests were analyzed.Results (1) R time and APTT,K time and APTT,α angle and FIB,and α angle and PLT were positively correlated;K time and FIB,R time and PLT,and α angle and APTT were negatively correlated.(2) R time and APTT (κ=0.266,P=0.000),K time and APTT (κ=0.134,P=0.024),and α angle and FIB (κ=0.162,P=0.007) had agreement in identifying hypercoagulability;R time and APTT (κ=0.211,P=0.001),K time and APTT (κ=0.198,P=0.002),and blood platelet count and K (κ=0.388,P=0.000),and α angle and PLT (κ=0.099,P=0.041) had agreement in identifying hypocoagulability.(3) The sensitivity of thromboelastography and routine coagulation tests in identifying early neurological deterioration was 17.65％ and 58.82％,and the sensitivity in identifying symptomatic hemorrhages by thromboelastography and routine coagulation tests was 73.68％ and 47.39％.Conclusions Some parameters has correlations in peroperative period,and has agreement in identifying hypercoagulability and hypocoagulability.Accordingly,routine coagulation tests might be superior in evaluating early neurological deterioration,and thromboelastography might be superior in evaluating symptomatic hemorrhages in patients with acute ischemic stroke.