Objectives:To explore the influencing factors of inter-arm systolic blood pressure difference(sIAD)in young hypertensive population. Methods:A total of 12 895 young Kailuan employees aged≤40 years,who participated in the physical examination from 2010 to 2020,were enrolled in this study.All of them underwent blood pressure measurements of four limbs in supine position.Young hypertensive group(n=3 584)and young non-hypertensive group(n=3 584)were 1∶1 matched by sex and age(±1 year),and participants were further divided into sIAD＜10 mmHg(1 mmHg=0.133 kPa)and sIAD≥10 mmHg subgroups.A stepwise multivariate logistic regression model was established to analyze the determinants of sIAD≥10 mmHg. Results:The detection rate of sIAD≥10 mmHg was significantly higher in the young hypertensive group than in the young non-hypertensive group(31.72%vs.27.76%,P＜0.001).Stepwise multivariate logistic regression analysis showed that in young hypertensive population,ankle-brachial index(ABI)＜0.9,male,obesity,overweight,elevated low density lipoprotein cholesterol(LDL-C)level,and systolic blood pressure were positively associated with sIAD≥10 mmHg,while college education or above,physical exercise were negatively correlated with sIAD≥10 mmHg(all P＜0.05).In the young non-hypertensive population,ABI＜0.9,systolic blood pressure were positively correlated with sIAD≥10 mmHg,while age was negatively associated with sIAD≥10 mmHg(all P＜0.05). Conclusions:The detection rate of sIAD≥10 mmHg is higher in young hypertensive population than in young non-hypertensive population.Decreased ABI,male sex,obesity,overweight,increased LDL-C level,systolic blood pressure,college education and above,and physical exercise are the influencing factors of sIAD≥10 mmHg in young hypertensive population.

Backgroud At present, there is no unified standard for the detection of glufosinate ammonium and three metabolites in urine, which affects the accurate assessment of occupational exposure risk to a certain extent. It is of great significance to establish a rapid and effective inspection method to ensure occupational safety and public health. Objective To establish an ultra performance liquid chromatography-tandem mass spectrometry for simultaneous determination of glufosinate ammonium and three metabolites in urine. Methods The effects of dilution solvents and dilution ratios on the response values of glufosinate ammonium and three metabolites were compared, and the retention capacities of solid phase extraction columns for targets as well as the effects of chromatographic columns and mobile phase systems on chromatographic peaks were analyzed. Samples were quantified by matrix effect matching external standard method. Accuracy of the method was evaluated by recovery rate of standard addition, and precision of the method was evaluated by relative standard deviation of intra-day and inter-day measurements. Urine samples of 30 health individuals were collected to evaluate the application of the method. Results The urine samples were diluted with 0.2 mL water and 0.6 mL acetonitrile, purified by HLB solid phase extraction columns, and separated by Dikma Polyamino HILIC columns, and gradient elution was carried out with 0.5 mmol·L⁻¹ ammonium acetate and 0.1% ammonia water as mobile phase, which achieved a good peak shape and mass spectrum response. The linearities of the four target compounds were good in the range of 0.5-50 ng·mL⁻¹, and the correlation coefficients (r) were all greater than 0.998. The detection limits were 0.56-2.86 μg·L⁻¹, the quantification limits were 1.87-29.54 μg·L⁻¹, and the recovery rates of standard addition ranged from 75.0% to 103.6%, The relative standard deviations of intra-batch and inter-batch were from 2.5% to 8.1% and from 4.3% to 9.3% respectively. The method was applied to detect 30 urine samples of subjects, and no target was detected. Conclusion The method is simple, rapid, sensitive, and accurate. It is suitable for the determination of glufosinate ammonium and its metabolites in human urine without derivatization.

Objective:To compare the antiplatelet effects of vicagrel and clopidogrel in patients with different cytochrome P450 (CYP) 2C19 genotypes.Methods:This is a post-hoc analysis of a phase Ⅱ clinical trial of vicagrel, which included patients with coronary heart disease who underwent percutaneous coronary intervention from August 2018 to June 2019 in 18 centers. Patients were categorized based on the presence of CYP 2C19 *2 or *3 loss-of-function (LOF) alleles into LOF carrier group ( n=111) and non-LOF carrier group ( n=90). Each group included patients received vicagrel 5 mg, 6 mg, 7.5 mg, or clopidogrel 75 mg for 28 days per study protocol. P2Y 12 reaction units (PRU) were measured using VerifyNow at baseline, 6 to 8 hours after loading dose, 7 to 10 days after randomization, and 28 days after randomization and the percentage inhibition of platelet aggregation (%IPA) was calculated. The primary endpoint was %IPA on day 28. Within the patients from the General Hospital of Northern Theater Command, 8 to 12 patients in each study arms were enrolled in a prespecified pharmacokinetic sub-study, measuring the time to reach maximum plasma concentration (T max), peak plasma concentration (C max), and area under the plasma concentration-time curve (AUC). Results:Among 201 patients, the age was (58.8±8.5) years, and 139 (69.2%) were male. In non-LOF carriers, there was no significant differences in PRU values and %IPA between the vicagrel 5 mg, 6 mg, 7 mg, and clopidogrel groups at all time points (all P>0.05). In LOF carriers, %IPA was significantly higher in the vicagrel-treated groups than in the clopidogrel group at 6-8 hours after loading dose (22.9 (14.2, 31.5)% vs. 19.8 (11.0, 28.6)% vs. 29.5 (20.9, 38.0)% vs. 12.9 (3.9, 21.9)%, P=0.038) and 7-10 days after randomization (22.4 (14.2, 30.5)% vs. 34.4 (26.1, 42.6)% vs. 39.8 (31.8, 47.9)% vs. 24.7 (16.3, 33.2)%, P=0.001), with a trend towards higher %IPA in the vicagrel-treated groups at day 28 (30.4 (21.3, 39.6)% vs. 36.5 (27.2, 45.7)% vs. 40.8 (31.8, 49.8)% vs. 30.7(21.2, 40.2)%, P=0.056). Pharmacokinetic results of 35 patients showed that the C max and AUC of the active metabolite M15-2 of vicagrel was similar to that of clopidogrel in non-LOF carriers, but AUC between vicagrel 5 mg, 6 mg, 7 mg and clopidogrel were significantly different in LOF carriers ((5.6±0.6) h·μg -1·L -1 vs. (6.8±2.7) h·μg -1·L -1 vs. (9.2±3.3) h·μg -1·L -1 vs. (4.2±1.9) h·μg -1·ml -1, P=0.020). Conclusion:Vicagrel and clopidogrel have similar antiplatelet effects in non-LOF carriers, but vicagrel exhibits superior antiplatelet effects in LOF carriers.

Objective:Hidden hunger remains a severe public health problem that affects millions of people worldwide.In China,challenges related to dietary imbalance and hidden hunger persist.Micronutrient inadequacy deserves more attention among adolescents,given its vital role in their growth and development;however,this problem appears to have been largely ignored.High school students,in particular,are often at a high risk of hidden hunger but have limited assessment tools available.Therefore,this study aims to revise the hidden hunger assessment scale for high school students(HHAS-HSS)in China and assess its reliability and validity.Methods:Based on a literature review,expert consultation,pre-experiment,and formal survey,a hidden hunger assessment scale was revised for high school students.The formal survey involved 9 336 high school students in 11 of the 16 cities in Anhui Province,China,and 9038 valid questionnaires were collected and included in the analysis.The item analysis,internal consistency reliability,test-retest reliability,content validity,exploratory factor analysis,and confirmatory factor analysis of the HHAS-HSS were examined.Results:The HHAS-HSS included a total of 4 dimensions and 12 items:"vegetables and food diversity"(three items),"fruits and dairy products"(three items),"micronutrient-dense foods"(four items),and"health condition and eating habits"(two items).The results showed a Cronbach's alpha of 0.758,a split-half reliability of 0.829,and a test-retest reliability of 0.793,indicating good internal consistency.Using the Bartlett's test and Kaiser-Meyer-Olkin test(KMO)to test the exploratory factor analysis presented a four-factor model of the HHAS-HSS,the KMO value was 0.820(P＜0.001),which indicated the possibility for factor confirmatory factor analysis.Using the maximum variance rotation method,four factors were obtained,and the cumulative variance explained rate was 57.974％.Confirmatory factor analysis also supported the division of the scale into four dimensions,and the fitting indices were x2=1417.656,x2/df=29.534,goodness-of-fit index=0.974,adjusted goodnesss-of-fit index=0.958,parsimonious goodness-of-fit index=0.600,normed fit index=0.938,incremental fit index=0.940,Tucker-Lewis index=0.917,comparative fit index=0.939,and root mean square error of approximation=0.056.Except for x2/df,all the indices reached the fitting standard,and the above results showed that the construct validity of the scale reached an acceptable level.Conclusions:The HHAS-HSS has good validity and reliability for Chinese high school students.It is a convenient self-report measure of hidden hunger risk.

Objective:To investigate the clinical value of muscle index changing value during neoadjuvant chemotherapy in predicting the prognosis of gastric cancer after radical gastrec-tomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 362 gastric cancer patients undergoing neoadjuvant chemotherapy combined with radical gastrectomy in 3 medical centers, including 163 cases in Fujian Medical University Union Hospital, 141 cases in the Affiliated Hospital of Qinghai University and 58 cases in St. Mary′s Hospital, from January 2010 to December 2017 were collected. There were 270 males and 92 females, aged from 26 to 79 years, with a median age of 61 years. Of 362 patients, 304 cases in Fujian Medical University Union Hospital and the Affiliated Hospital of Qinghai University were allocated into modeling group and 58 cases in St. Mary′s Hospital were allocated into validation group. Observation indicators: (1) changes of indicators including body composition parameters, tumor markers and stress status indicators in patients in modeling group during neoadjuvant chemotherapy; (2) follow-up and survival of patients; (3) analysis of risk factor affecting prognosis of patients in modeling group; (4) construc-tion and comparison of prognostic prediction models; (5) evaluation of prognostic prediction models. Follow-up was conducted using outpatient examination, telephone interview and mail communication to detect postoperative survival of patients up to April 2021. Measurement data with normal distribution were represented as Mean± SD. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. Univariate and multivariate analysis were performed using the COX proportional hazard model. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-rank test was used for survival analysis. Results:(1) Changes of indicators including body composition parameters, tumor markers and stress status indicators in patients in modeling group during neoadjuvant chemotherapy: the subcutaneous adipose index, visceral adipose index, muscle index, carcinoem-bryonic antigen, CA19-9, body mass index, prognostic nutritional index and modified systemic inflammation score of 304 gastric cancer patients in the modeling group before neoadjuvant chemotherapy were 31.2 cm 2/m 2(range, 0.6?96.0 cm 2/m 2), 25.1 cm 2/m 2(range, 0.1?86.3 cm 2/m 2), 47.1 cm 2/m 2(range, 27.6?76.6 cm 2/m 2), 43.2 μg/L(range, 0.2?1 000.0 μg/L), 108.7(range, 0.6? 1 000.0)U/mL, 21.9 kg/m 2(range, 15.6?29.7 kg/m 2), 46.8(range, 28.6?69.0), 1.0±0.8, respectively. The above indicators of 304 gastric cancer patients in the modeling group before radical gastrec-tomy were 32.5 cm 2/m 2(range, 5.1?112.0 cm 2/m 2), 25.4 cm 2/m 2(range, 0.2?89.0 cm 2/m 2), 47.0 cm 2/m 2(range, 16.8?67.0 cm 2/m 2), 17.0 μg/L(range, 0.2?1 000.0 μg/L), 43.9 U/mL(range, 0.6?1 000.0 U/mL), 21.6 kg/m 2(range, 31.1?29.0 kg/m 2), 47.7(range, 30.0?84.0), 1.0±0.8, respectively. The changing value of above indicators of 304 gastric cancer patients in the modeling group during neoadjuvant chemotherapy were 1.4 cm 2/m 2(range, ?31.0?35.1 cm 2/m 2), 0.2 cm 2/m 2(range, ?23.5?32.6 cm 2/m 2), ?0.1 cm 2/m 2(range, ?18.2?15.9 cm 2/m 2), ?26.2 μg/L(range, ?933.5?89.9 μg/L), ?64.9 U/mL(range, ?992.1?178.6 U/mL), ?0.3 kg/m 2(range, ?9.7?7.1 kg/m 2), 0.9(range, ?27.1?38.2), 0.0±0.8, respec-tively. (2) Follow-up and survival of patients: 284 of 304 patients in the modeling group were followed up for 3 to 130 months, with a median follow-up time of 36 months. During follow-up, 130 cases died of tumor recurrence and metastasis and 9 cases died of non-tumor causes. The 5-year overall survival rate was 54.6%. Fifty-two of 58 patients in the validation group were followed up for 2 to 91 months, with a median follow-up time of 29 months. During follow-up, 21 cases died with the 5-year overall survival rate of 63.8%. (3) Analysis of risk factor affecting prognosis of patients in modeling group: results of univariate analysis showed that the postoperative pathological type and postoperative pathological staging were related factors affecting 5-year overall survival rate [ hazard ratio=1.685, 2.619, 95% confidence interval(CI): 1.139?2.493, 1.941?3.533, P<0.05] and 5-year progression free rate survival of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio=1.468, 2.577, 95% CI: 1.000?2.154, 1.919?3.461, P<0.05). Results of multivariate analysis showed that the postoperative pathological type and postoperative pathological staging were independent influencing factors for 5-year overall survival rate of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio=1.508, 2.287, 95% CI: 1.013?2.245, 1.691?3.093, P<0.05) and the postoperative patholo-gical staging was an independent influencing factor for 5-year progression free survival rate of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio= 2.317,95% CI: 1.719?3.123, P<0.05). (4) Construction and comparison of prognostic prediction models: the area under curve (AUC) of prognostic prediction model of subcutaneous adipose index changing value, visceral adipose index changing value, carcinoembryonic antigen changing value, CA19-9 changing value, body mass index changing value, prognostic nutritional index changing value, modified systemic inflammation score changing value for 304 gastric cancer patients in the modeling group were 0.549(95% CI: 0.504?0.593), 0.501(95% CI: 0.456?0.546), 0.566(95% CI: 0.521?0.610), 0.519(95% CI: 0.474?0.563), 0.588(95% CI: 0.545?0.632), 0.553(95% CI: 0.509?0.597), 0.539(95% CI: 0.495?0.584). The AUC of prognostic prediction model of muscle index changing value was 0.661(95% CI: 0.623?0.705) with significant differences to the AUC of prognostic predic-tion model of subcutaneous adipose index changing value, visceral adipose index changing value, carcinoembryonic antigen changing value, CA19-9 changing value, body mass index changing value, prognostic nutritional index changing value, modified systemic inflammation score changing value, respectively ( Z=3.960, 5.326, 3.353, 4.786, 2.455, 3.448, 3.987, P<0.05). The optimum cut-off value was 0.7 cm 2/m 2 for prognostic prediction model of muscle index changing. Kaplan-Meier survival curve showed there were significant differences of overall survival and progression free survival for gastric cancer patients with subcutaneous adipose index changing value <0.7 cm 2/m 2 and ≥0.7 cm 2/m 2 in the modeling group ( χ2 =27.510, 21.830, P<0.05). The nomogram prognostic prediction model was cons-tructed based on 3 prognostic indicators including muscle index change value combined with postoperative pathological type and postoperative pathological staging and the AUC of nomogram prognostic prediction model were 0.762(95% CI: 0.708?0.815) and 0.788(95% CI: 0.661?0.885) for the modeling group and the validation group, respectively. The AUC of postoperative pathological staging prognostic prediction model were 0.706(95% CI: 0.648?0.765) and 0.727(95% CI: 0.594?0.835)for the modeling group and the validation group, respectively. There were significant differences of the AUC between the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging and the postoperative pathological staging prognostic prediction model in the modeling group and the validation group, respectively ( Z=3.522, 1.830, P<0.05). (5) Evaluation of prognostic prediction models: the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging showed that patients with score of 0-6 were classified in the low risk group, patients with score of >6 and ≤10 were classified in the moderate-low risk group, patients with score of >10 and ≤13 were classified in the moderate-high risk group and patients with score of >13 were classified in the high risk group. Kaplan-Meier survival curve showed there were significant differences of the overall survival between the low risk group, moderate-low risk group, moderate-high risk group and high risk group patients in the modeling group and the validation group, respectively ( χ2 =75.276, 14.989, P<0.05). Results of decision making curve showed the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging had better clinical utility than the postoperative pathological staging prognostic prediction model in the modeling group and the validation group. Conclusions:The muscle index changing value of gastric cancer patient during neoadjuvant chemotherapy can be used as a prognostic indicator for gastric cancer patient prognosis after radical gastrectomy. The risk score of the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging can be used to evaluate the survival and prognosis of gastric cancer patients after radical gastrectomy.

As the survival across cancers continues to rise, the outcome indicators of rehabilitation at the social level of cancer survivors is worthy of attention, social participation is a good index to reflect the level of rehabilitation. Looking forward to providing references for descriptive and intervention researches in the future, this literature review expounds current situation of cancer survivors, and introduces the assessment tools and influencing factors of the cancer survivors' social participation.

Objective:To systematically evaluate the risk factors for oral mucositis (OM) in patients receiving hematopoietic stem cell transplantation (HSCT) , and provide a reference for the prevention and treatment of OM.Methods:Articles published up to June 2020 were systematically retrieved from PubMed, Web of Science, Cochrane Central Register of Controlled Trials, Embase, SinoMed, China National Knowledge Infrastructure (CNKI) , VIP, and Wanfang databases, and screened independently by two reviewers according to the inclusion and exclusion criteria. The research design, patient characteristics, follow-up time point, evaluation tools, statistical analysis results and other information of the included articles were extracted. After evaluating the risk of bias, RevMan 5.3 was used for statistical analysis.Results:A total of 17 studies and 3 659 HSCT patients were included. Meta-analysis was conducted on 9 factors related to OM, 2 factors related to moderate to severe OM, and 6 factors related to severe OM, and the results showed that the risk factors related to OM were female ( OR=1.40, 95% CI: 1.10-1.79, P=0.007) , bone marrow transplantation ( OR=1.86, 95% CI: 1.00-3.47, P=0.05) , oral busulfan ( OR=38.61, 95% CI: 11.04-134.97, P<0.001) , use of methotrexate ( OR=2.34, 95% CI: 1.38-3.98, P=0.002) , and allografting ( OR=2.21, 95% CI: 1.18-4.15, P=0.01) , and the risk factors associated with severe OM were a pretreatment program containing high-dose melphalan ( OR=2.00, 95% CI: 1.24-3.22, P=0.004) . Conclusions:Female, bone marrow transplantation, oral busulfan, use of methotrexate, and allografting are correlated with OM, and the pretreatment program containing high-dose melphalan is correlated with severe OM. The correlation between other factors and OM still needs further verification. Medical staff should pay attention to these risk factors and take targeted prevention and treatment strategies to further improve the quality of nursing work.

Objective:To establish a nomogram prediction model for the risk of postoperative delirium in elderly patients with chronic subdural hematoma.Methods:A total of 450 elderly patients with chronic subdural hematoma who were admitted into Shengjing Hospital of China Medical University from January 2017 to January 2020 were selected as the research objects. The patients were divided into the delirium group ( n=135) and the non-delirium group ( n=315) according to whether they had delirium. The indexes of patients in two groups were compared and analyzed. Univariate analysis and multivariate Logistic regression analysis were used to investigate the independent risk factors for postoperative delirium in elderly patients with chronic subdural hematoma, and a prediction model for the risk of delirium was establish based on independent risk factors. ROC curve and calibration curve were used to evaluate the discriminant ability and predictive effectiveness of the model. Results:In 450 elderly patients with chronic subdural hematoma after surgery, 135 cases of delirium occurred postoperatively, and the incidence of delirium was 30.0%. Univariate analysis showed that there were statistically significant differences in delirium incidence among patients with different ages, alcoholism history, Markwalder grade and postoperative pain grade (χ 2=23.069, 27.325, 36.081, 44.834; P<0.05) . Logistic regression analysis showed that advanced age, preoperative Markwalder grade Ⅳ, history of alcoholism and severe postoperative pain were independent risk factors for postoperative delirium ( P<0.05) . A nomogram prediction model for postoperative delirium risk in elderly patients with chronic subdural hematoma was established based on independent risk factors. The Bootstrap internal verification method proved that the prediction accuracy of the model was good ( C- index was 0.904) , and the area under the ROC curve calculated by the Nomogram model was 0.904. Conclusions:The delirium risk nomogram prediction model constructed in this study has good accuracy, discrimination and good predictive ability. It can improve the screening efficiency for elderly patients with chronic subdural hematoma who are at high risk of developing delirium after surgery.

Objective To objectively study the current progress of China Healthcare Improvement Initiative, and its effectiveness and shortcomings for further improvement. Methods Questionnaires were customized by expert consultation and pre-investigation, and distributed by the National Health Commission in April 2018 to the hospitals.Data of 5 469 hospitals were recovered and analyzed with a statistics software for descriptive analysis.Results Implementation progress of the five working systems varied with regions, and rooms of improvement were found in such aspects as outpatient appointment, clinical pathway management and social work system.In 2017, the proportion of outpatient appointments of 5 469 hospitals averaged 19.1%.Progress of the ten major service models also varied, as defects were found in such service models as continuous medical service, intelligent service, and interconnection service.In 2017, only 6.7% of the 5 469 hospitals had put in place hierarchical integrated clinical pathways within their medical alliances.Conclusions Improvement of the medical services calls for not only the efforts of medical institutions themselves, but also top-level design by the local health authorities. In particular, an online information platform should be established for the whole region, to unify the information standards and processes, and corresponding mechanisms and system support are needed.

Autoimmune hepatitis (AIH) is a progressive chronic inflammatory liver disease with unknown etiology. At present, genetic susceptibility and environmental factors are universally recognized as the etiological factors for AIH. With the deepening of research in recent years, other etiological factors, such as immune cells, immune factors, liver transplantation, and drugs, have attracted more and more attention. This article briefly describes related research findings in the past five years.