Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Objective:To evaluate the diagnostic efficacy and practicality of the Jaundice color card (JCard) as a screening tool for neonatal jaundice.Methods:Following the standards for reporting of diagnostic accuracy studies (STARD) statement, a multicenter prospective study was conducted in 9 hospitals in China from October 2019 to September 2021. A total of 845 newborns who were admitted to the hospital or outpatient department for liver function testing due to their own diseases. The inclusion criteria were a gestational age of ≥35 weeks, a birth weight of ≥2 000 g, and an age of ≤28 days. The neonate′s parents used the JCard to measure jaundice at the neonate′s cheek. Within 2 hours of the JCard measurement, transcutaneous bilirubin (TcB) was measured with a JH20-1B device and total serum bilirubin (TSB) was detected. The Pearson′s correlation analysis, Bland-Altman plots and the receiver operating characteristic (ROC) curve were used for statistic analysis.Results:Out of the 854 newborns, 445 were male and 409 were female; 46 were born at 35-36 weeks of gestational age and 808 were born at ≥37 weeks of gestational age. Additionally, 432 cases were aged 0-3 days, 236 cases were aged 4-7 days, and 186 cases were aged 8-28 days. The TSB level was (227.4±89.6) μmol/L, with a range of 23.7-717.0 μmol/L. The JCard level was (221.4±77.0) μmol/L and the TcB level was (252.5±76.0) μmol/L. Both the JCard and TcB values showed good correlation ( r=0.77 and 0.80, respectively) and agreements (96.0% (820/854) and 95.2% (813/854) of samples fell within the 95% limits of agreement, respectively) with TSB. The JCard value of 12 had a sensitivity of 0.93 and specificity of 0.75 for identifying a TSB ≥205.2?μmol/L, and a sensitivity of 1.00 and specificity of 0.35 for identifying a TSB ≥342.0?μmol/L. The TcB value of 205.2?μmol/L had a sensitivity of 0.97 and specificity of 0.60 for identifying TSB levels of 205.2 μmol/L, and a sensitivity of 1.00 and specificity of 0.26 for identifying TSB levels of 342.0 μmol/L. The areas under the ROC curve (AUC) of JCard for identifying TSB levels of 153.9, 205.2, 256.5, and 342.0 μmol/L were 0.96, 0.92, 0.83, and 0.83, respectively. The AUC of TcB were 0.94, 0.91, 0.86, and 0.87, respectively. There were both no significant differences between the AUC of JCard and TcB in identifying TSB levels of 153.9 and 205.2 μmol/L (both P>0.05). However, the AUC of JCard were both lower than those of TcB in identifying TSB levels of 256.5 and 342.0 μmol/L (both P<0.05). Conclusions:JCard can be used to classify different levels of bilirubin, but its diagnostic efficacy decreases with increasing bilirubin levels. When TSB level are ≤205.2 μmol/L, its diagnostic efficacy is equivalent to that of the JH20-1B. To prevent the misdiagnosis of severe jaundice, it is recommended that parents use a low JCard score, such as 12, to identify severe hyperbilirubinemia (TSB ≥342.0 μmol/L).

Objective To explore the value of machine learning(ML)models based on non-contrast CT(NCCT)radiomics features for predicting the severity of acute phase traumatic brain injury(TBI).Methods Totally 600 TBI patients were retrospectively collected as observation group,other 65 TBI patients were taken as external validation set,while 50 TBI patients were prospectively enrolled as prospective validation set.Patients in observation group were divided into high-risk subgroup(n=240)and low-risk subgroup(n=360)according to Glasgow outcome scale(GOS)at discharge.The severity of acute phase TBI in observation group was assessed by doctor A and B with the same criteria,then an artificial model was established based on clinical and NCCT data at the time of first diagnosis using logistic regression(LR)method for predicting the severity of acute phase TBI.Patients in observation group were divided into training set(n=420,including 168 in high-risk subgroup and 252 in low-risk subgroup)and test set(n=180,including 72 in high-risk subgroup and 108 in low-risk subgroup)at the ratio of 7∶3.Based on NCCT of training set,radiomics features were extracted and selected,and LR,support vector machine(SVM),random forest(RF)and K-nearest neighbor(KNN)were used to establish 4 ML models.The efficacies of the above models were validated in test set,external validation set(including 34 cases of high-risk and 31 cases of low-risk TBI)and prospective validation set(including 21 cases of high-risk and 29 cases of low-risk TBI),respectively.Results The area under the curve(AUC)of doctor A and B for evaluating the severity of acute phase TBI in observation group was 0.606 and 0.771,respectively,of artificial model was 0.824.Based on NCCT in training set,6 optimal radiomics features were selected to construct LR,SVM,RF and KNN ML models,with AUC of 0.983,0.971,0.970 and 0.984 in test set,respectively,while the AUC of artificial model was 0.708.The AUC of LR,SVM,RF,KNN ML models and artificial model in external validation set was 0.879,0.881,0.984,0.863 and 0.733,while in prospective validation set was 0.984,0.873,0.982,0.897 and 0.704,respectively.Conclusion ML models based on CT radiomics could effectively predict the severity of acute phase TBI.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Transthyretin(TTR) protein is a tetramer protein, synthesized mainly by the liver. TTR can be misfolded and deposited as amyloid fibrilae and deposited in the myocardial interstroma leading to transthyroxin amyloidosis cardiomyopathy (ATTR-CM). ATTR-CM was included in China's First List of Rare Diseases. Therapeutic strategies for ATTR-CM include blocking TTR synthesis in the liver, stabilizing TTR tetramers and destroying TTR fibra. Small molecule drugs such as tafamidis and diflunisal offer new treatment options for patients. Chlorobenzolic acid became the first drug approved by the U.S. Food and Drug Administration for the treatment of ATTR-CM. Small interfering RNA(siRNA)patisiran and antisense oligonucleotide (ASO)inotersen block TTR expression in the liver and have been approved for the treatment of ATTR variant polyneuropathy (ATTRv-PN)and are in phase Ⅲ trials for the treatment of ATTR-CM. Other siRNA drugs, vutrisiran, and ASO, eplontersen, are being evaluated for clinical efficacy. This article reviews the development of RNA-targeted therapeutics and gene-editing drugs using CRISPR-Cas9.

Objective:To explore the relationship between self-perceptions of aging and cognitive function, and the mediating and moderating effect of loneliness among them.Methods:A multi-stage stratified sampling was conducted in Jinzhou from September to November 2021, and 318 community-based elderly were included.General data questionnaire, the brief ageing perceptions questionnaire (BAPQ), UCLA loneliness scale(UCLA-LS) and mini-mental state examination (MMSE) were applied to all subjects.IBM SPSS 25.0 software was used to conduct independent sample t-test, analysis of variance and Pearson correlation analysis, and Bootstrap program of AMOS 22.0 was used to analyze the mediation effect.The model in SPSSAU on-line analysis program was used to test the moderating effect. Results:The average scores of self-perceptions of aging, loneliness and cognitive function were (44.85±12.48), (41.70±8.73) and (24.87±3.40) respectively.And 65 of 318 subjects had cognitive impairment, and the detection rate was 20.44%(65/318). Self-perceptions of aging, loneliness and cognitive function scores were significantly correlated between each other(all P<0.05). Self-perceptions of aging had a negative effect on cognitive function ( β=-0.467, P<0.01). Self-perceptions of aging had a positive effect on loneliness ( β=0.585, P<0.01). Loneliness had a negative effect on cognitive function ( β=-0.234, P<0.01). The indirect standardization effect of loneliness between self-perceptions of aging and cognitive function was -0.137, and the mediating effect accounted for 22.68% of the total effect.Loneliness played a moderating role between self-perceptions of aging and cognitive function ( β=-0.114, t=-2.26, P=0.025). Conclusion:Self-perceptions of aging and loneliness can predict the cognitive function in the elderly, and loneliness plays a mediating role between self-perceptions of aging and cognitive function.Early detection of negative senility emotion and loneliness of the elderly will play a positive role in preventing the occurrence of cognitive impairment.

Objective:To evaluate the efficacy and safety of peroral endoscopic myotomy (POEM) in achalasia of cardia (AC) patients with the long course.Methods:A total of 159 AC patients who received POEM from January 2015 to March 2022 in the First Affiliated Hospital of Soochow University were divided into the long course group (≥10 years) and the non-long course group (<10 years). The baseline information, POEM procedure and postoperative recurrence were compared and the differences between the recurrent patients and non-recurrent patients in the long course group were explored.Results:The age (57.09±14.30 years VS 42.08±15.68 years, t=5.569, P<0.001), the rate of treatment history [28.9% (13/45) VS 9.6% (11/114), χ2=9.319, P=0.020], the proportion of Henderson grade Ⅲ esophagus [17.8% (8/45) VS 6.1% (7/114), χ2=7.020, P=0.030] in the long course group were significantly higher than those in the non-long course group. The recurrence rate in the long course group was significantly higher than that in the non-long course group [33.3% (15/45) VS 14.9% (17/114), χ2=6.811, P=0.009]. In the long course group, the age (62.50 ± 16.94 years VS 53.77 ± 12.95 years, t=-2.121, P=0.040), and the rate of treatment history [53.3% (8/15) VS 16.7% (5/30), χ2=6.544, P=0.016] in the recurrent patients were higher than those in the non-recurrent patients. Conclusion:POEM is safe and effective for long-course AC patients. In patients with the long course, the aged patients with previous treatment are more likely to relapse.

Objective:To explore the correlation of serum albumin level at admission with clinical prognoses in patients with acute traumatic brain injury (TBI).Methods:One hundred and fifty-four patients with acute moderate-extreme severe TBI (Glasgow Coma Scale [GCS] scores of 3-12 at admission) in Department of Neurosurgery, General Hospital of Western Theater Command from January 1, 2019 to December 31, 2020 were chosen. The comprehensive clinical data of these patients were collected, including age, gender, GCS scores, serum albumin level (hypoalbuminemia defined as<35 g/L), hemoglobin level, comorbidities, treatment measures, and prognoses 6 months after discharge (poor prognosis defined as Glasgow outcome Scale [GOS] scores of 1-2, and good prognosis defined as GOS scores of 3-5). Univariate and multivariate Logistic regressions were used to identify the independent factors for clinical prognoses of these patients, and differences in poor prognosis rate, length of ICU stay, and total hospital cost were compared between different groups.Results:Among the 154 patients, 43 had poor prognosis and 111 had good prognosis. Serum albumin level at admission ( OR=0.916, 95% CI: 0.843-0.996, P=0.001) and GCS scores at admission ( OR=0.701, 95% CI: 0.594-0.828, P<0.001) were independent factors for prognosis. Patients with hypoalbuminemia ( n=70) displayed significantly higher poor prognosis rate, longer ICU stays, and increased total hospitalization cost compared with those without hypoalbuminemia ( n=84, P<0.05); specifically, in patients with GCS scores of 9-12 at admission ( n=58), those with hypoalbuminemia ( n=27) exhibited significantly higher poor prognosis rate, longer ICU stays, and higher total hospitalization cost than their non-hypoalbuminemia counterparts ( n=31, P<0.05); similarly, in patients with GCS scores of 3-8 at admission ( n=96), those with hypoalbuminemia ( n=74) had significantly higher poor prognosis rate than their non-hypoalbuminemia counterparts ( n=22, P<0.05). In patients with good prognosis, those with hypoalbuminemia ( n=56) showed significantly longer total hospital stays, prolonged ICU stays, and increased total hospitalization cost compared with those without hypoalbuminemia ( n=55, P<0.05). Conclusion:Low serum albumin level at admission is likely to lead to poor prognosis, prolonged ICU stays and increased total hospitalization cost in patients with acute TBI.

Objective:To analyze the characteristics of total cerebral small vessel disease (CSVD) burden in octogenarians with CSVD and to investigate its correlation with serum uric acid.Methods:From January 2019 to December 2020, patients with CSVD diagnosed by 3.0 T magnetic resonance imaging (MRI) in Departments of Neurology and Departments of Geriatrics, Liaoning Jinqiu Hospital were enrolled retrospectively. The patients were scored and grouped according to the total CSVD burden assessment standard. Ordered logistic regression analysis was used to investigate the independent influencing factors of the total CSVD burden score, and the Spearman rank correlation method was used to conduct the correlation analysis between serum uric acid and the total CSVD burden score. Results:A total of 217 octogenarians with CSVD were enrolled in the study. Their age was 87.3±4.5 years, 150 were males (69.1%), and their median serum uric acid was 313.0 μmol/L. The total CSVD burden score: 50 patients (23.1%) in 1-point group, 79 (36.4%) in 2-point group, 68 (31.3%) in 3-point group, and 20 (9.2%) in 4-point group. The imaging subtypes of CSVD were mainly asymptomatic lacunar infarcts (ALIs; 98.2%) and white matter hyperintensities (WMHs; 77.0%). The CSVD subtype combination was different between different total CSVD burden score groups. There were only two subtypes in the 1-point group, mainly ALIs (92.0%), and WMHs accounted for only 8.0%. Four subtypes could be observed in other groups, among which ALIS+ WMHs mixed subtype (100% in the 3-point group and the 4-point group) accounts for the highest proportion. The detection rates of cerebral microbleeds (CMBs) and enlarged perivascular spaces (EPVS) increased significantly with the increase of the total CSVD burden score. The 3-point group was 44.1% and 55.9% respectively. Univariate analysis showed that there were significant differences in age, male, hypertension, coronary heart disease, serum uric acid level, high-density lipoprotein cholesterol and the highest quartile of serum uric acid between total CSVD burden score groups ( P<0.05). Multinomial ordinal logistic regression analysis showed that there was significant independent correlation between age (odds ratio 1.074, 95% confidence interval 1.013-1.140; P=0.017), serum uric acid (odds ratio 1.005, 95% confidence interval 1.000-1.009; P=0.032) and the total CSVD burden score. Spearman rank correlation analysis showed that there was a positive correlation between serum uric acid and the total CSVD burden score ( r=0.153, P=0.024). Conclusions:ALIs and WMHs are most common in octogenarians with CSVD. Four subtypes were observed in each group ≥2, and the proportion of EPVS and CMBs also increases with the increase of the total CSVD burden score. There is an independent correlation between serum uric acid and the total CSVD burden in the octogenarians.

The demand for rehabilitation therapists is rising in response to social development, disease spectrum changes and population aging. Under the guidance of the integration of rehabilitation and clinical medicine, Beijing Rehabilitation Hospital has carried out a comprehensive scientific design and practice in the sub-professional training mode for new rehabilitation therapists according to the discipline development and clinical needs, strengthened their training of sub-professional skills, and provided an effective way to standardize the profession admission and specialty advancement.