As a new strategy for the application of sacubitril/valsartan (LCZ696) in patients with CKD, much evidence showed that it improved the prognosis of patients with CKD. This review summarizes the efficacy and safety of sacubitril/valsartan in physiology, pathology, pharmacology and clinical application by searching Wanfang, CNKI, PubMed and other databases for related articles on the application of sacubitril/valsartan in CKD patients. Although LBQ657, the active product of sacubitril, has a high drug accumulation in patients with moderate, severe renal injury, and ESRD, it is not cleared in hemodialysis, and has very little eliminated in peritoneal dialysis, which does not affect its safety. Compared with angiotensin converting enzyme inhibitor and angiotensin receptor blocker drugs, LCZ696 could increase the blood pressure control rate, improve cardiac function, slow down the decline of glomerular filtration rate, and significantly improve cardiovascular outcomes without more adverse events. Sacubitril/valsartan can be used in all levels of CKD patients complicated with hypertension and/or heart failure, with reliable safety and tolerance.

Humans ; Adolescent ; Fractures, Avulsion ; Fractures, Bone ; Fracture Fixation, Internal ; Ischium/surgery*

Background Arsenic, cobalt, barium, and other individual metal exposure have been confirmed to be associated with the incidence of kidney stones. However, there are few studies on the association between mixed metal exposure and kidney stones, especially in occupational groups. Objective To investigate the association between mixed metal exposure and kidney stones in an occupational population from a metal smelting plant. Methods A questionnaire survey was conducted to collect sociodemographic characteristics, medical history, and lifestyle information of 1158 mixed metal-exposed workers in a metal smelting plant in Guangdong Province from July 2021 to January 2022. Midstream morning urine samples were collected from the workers, the concentrations of 18 metals including lithium, vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, strontium, molybdenum, cadmium, cesium, barium, tungsten, titanium, and lead were measured by inductively coupled plasma mass spectrometry, and the urinary mercury levels were measured by cold atomic absorption spectroscopy. Based on predetermined inclusion criteria, a total of 919 mixed metal-exposed workers were included in the study, including 117 workers in the kidney stone group and 802 workers in the non-kidney stone group. With a detection rate of urinary metals greater than 80% as entry criterion, 16 eligible metals were finally included for further analysis. Parametric or non-parametric methods were used to compare the differences between continuous or categorical variables of the non-kidney stone group and the kidney stone group. Logistic regression models were constructed to explore the association between individual metal exposures and kidney stones. Weighted quantile sum (WQS) regression models were used to evaluate the association between mixed metal exposure and kidney stones, as well as the weights of each metal on kidney stones. Then Bayesian kernel machine regression (BKMR) models were used to explore the overall effect of mixed metal exposure on renal calculi and the potential interactions between metals. Results We found that there were significant differences in sex, age, length of service, and body mass Index (BMI) between the non-kidney stone group and the kidney stone group (P<0.05). The urinary concentrations of molybdenum and barium in the kidney stone group were higher than those in the non-kidney stone group, and the differences were statistically significant (P<0.05). The logistic regression models demonstrated that urinary cobalt, arsenic, molybdenum, and barium were positively correlated with the risk of kidney stones (P_trend<0.05). The WQS regression models showed that the mixed exposure to vanadium, cobalt, arsenic, molybdenum, and barium was positively associated with the risk of kidney stones (P<0.05). Among them, molybdenum, arsenic, and barium accounted for 0.391, 0.337, and 0.154, respectively. The BKMR results revealed a positive association between metal mixture exposure and the risk of kidney stones (P<0.05). When other metals were fixed at the 25th, 50th, or 75th percentile, arsenic, molybdenum, cobalt, and barium exhibited significant positive effects on the risk of kidney stones (P<0.05), while vanadium showed a significant negative effect (P<0.05). The interaction analysis demonstrated interactions between barium and cobalt, as well as between vanadium and cobalt (P<0.05). Conclusion In the occupational population of this smelter, occupational mixed metal exposure could increase the risk of kidney stones, and the main metals are molybdenum, arsenic, barium, and cobalt.

Objective:To analyze the methylation characteristics of the lymphocyte-specific protein-tyrosine kinase (LCK) promoter region in the peripheral blood circulation of rheumatoid arthritis (RA) patients and its correlation with clinical indicators.Methods:Targeted methylation sequencing was used to compare the methylation levels of 7 CpG sites in the LCK promoter region in the peripheral blood of RA patients with healthy controls (HC) and osteoarthritis (OA) patients. Correlation analysis and ROC curve construction were performed with clinical information.Results:Non-parametric tests revealed that compared with HC [0.53(0.50, 0.57)] and OA patients [0.59(0.54, 0.62), H=47.17, P<0.001], RA patients [0.63(0.59, 0.68)] exhibited an overall increase in methylation levels. Simultaneously, when compared with the HC group [0.38(0.35, 0.41), 0.59(0.55, 0.63), 0.60(0.55, 0.64), 0.59(0.55, 0.63), 0.58(0.53, 0.62), 0.45(0.43, 0.49), 0.57(0.54, 0.61)], the RA group [0.46(0.42, 0.49), 0.70(0.65, 0.75), 0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] showed a significant elevation in methylation levels at CpG sites cg05350315_60, cg05350315_80, cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-5.63, -5.89, -5.91, -5.89, -5.98, -5.95, -5.95, all P<0.001). Compared with the OA group [0.65(0.59, 0.69), 0.65(0.60, 0.69), 0.64(0.58, 0.68), 0.50(0.45, 0.54), 0.63(0.58, 0.67)], the RA group [0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] exhibited a significant increase in methylation levels at CpG sites cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-3.56, -3.52, -3.60, -3.67, -3.62; P=0.036, 0.042, 0.031, 0.030, 0.030). Furthermore, Pearson correlation coefficient analysis revealed a positive correlation between the overall methylation level in this region and C-reactive protein (CRP) ( r=0.19, P=0.004) and erythrocyte sedimentation rate ( r=0.14, P=0.035). The overall methylation level of the LCK promoter region in the CRP (low) group [0.63 (0.58, 0.68)] was higher than that in the CRP (high) group [0.65(0.61, 0.70)], with statistically significant differences ( Z=2.60, P=0.009). Finally, by constru-cting a ROC curve, the discriminatory efficacy of peripheral blood LCK promoter region methylation levels for identifying RA patients, especially seronegative RA patients, from HC and OA groups was validated, with an AUC value of 0.78 (95% CI: 0.63, 0.93). Conclusion:This study provides insights into the methylation status and methylation haplotype patterns of the LCK promoter region in the peripheral blood of RA patients. The overall methylation level in this region is positively correlated with the level of inflammation and can be used to differentiate seronegative RA patients from the HC and OA patients.

Objective:To evaluate the value of CEA, CYFRA21-1 and CA125 tests in opportunistic screening of non-small cell lung cancer (NSCLC) based on meta-analysis.Methods:The original research literatures on the diagnostic value of CEA, CYFRA21-1 and CA125 in Chinese NSCLC patients were searched from databases of PubMed, Embase, The Cochrane Library, CNKI, VIP, Database and Wanfang database from establishment to June 2023. The literature screening, data extraction and quality evaluation were carried out independently by two researchers. The quality evaluation tool of diagnostic accuracy studies was used to evaluate the quality of the literature. A summary receiver operating characteristic (SROC) curve was used to assess the overall effectiveness of the tests. The outcome stability and publication bias were detected by using sensitivity analysis and Deeks′ test.Results:A total of 23 studies met the inclusion and exclusion criteria were included. The results of meta-analysis showed that the overall sensitivity of CEA, CYFRA21-1 and CA125 alone in the diagnosis of NSCLC was relatively low, it was 0.49(95% CI: 0.43-0.55), 0.56(95% CI: 0.49-0.63) and 0.41(95% CI: 0.33-0.49), respectively. The overall sensitivity of the combined detection of the three markers for the diagnosis of NSCLC increased to 0.83(95% CI: 0.69-0.91), but the overall specificity decreased to 0.76(95% CI: 0.69-0.83). Conclusions:The single detection of CEA, CYFRA21-1 and CA125 is not recommended for screening NSCLC in population receiving physical examination. Although the sensitivity of the combined detection of CEA, CYFRA21-1 and CA125 for screening NSCLC is improved, but the specificity is decreased, the misdiagnosis rate is increased, so the screening effect is limited.

Objective To explore the therapeutic effect and mechanism of pressing and rubbing method on myofascial pain syndrome(MPS)rats.Methods A total of 12 rats were randomly selected from 60 rats as the normal group,and the remaining rats were used to construct the MPS model by blunt strike combined with centrifugal exercise.Then 48 successfully modeled rats were randomly divided into model group,pressing and rubbing method group,pressing and rubbing method + Dantrolene[ryanodine receptor(RyR)inhibitor]group,pressing and rubbing method + normal saline group,with 12 rats in each group.The mechanical pain threshold was measured by von-Frey method.Detection of soft tissue tension,electromyography was performed;the ultrastructure of the pain point tissue was observed by transmission electron microscopy.The content of calcium ion(Ca2+)in the tissue of trigger point was detected by colorimetry.The protein expressions of dihydropyridine receptor(DHPR)α1,RyR and acetylcholinesterase(AChE)in the pain points of rats were detected by Western Blot.Results Compared with the normal group,the mechanical pain threshold,soft tissue tension in trigger point and the protein expressions of DHPRα1,RyR and AChE in the model group were decreased and the Ca2+ + content was increased(all P＜0.05),and the peak potential with higher amplitude was observed in the electromyogram.The ultrastructure of the trigger point tissue was damaged.Compared with the model group,the mechanical pain threshold,soft tissue tension of trigger point and the protein expressions of DHPRα1,RyR and AChE in the trigger point tissue of the rats in the pressing and rubbing method group and the pressing and rubbing method + normal saline group were increased,and the Ca2+ content was decreased(all P＜0.05),the electromyography was restored to be stable,the ultrastructural damage of the trigger point tissue was alleviated.Compared with the pressing and rubbing method group,the mechanical pain threshold,soft tissue tension of trigger point and protein the expressions of DHPRα1,RyR and AChE in the trigger point tissue of the rats in the pressing and rubbing method + Dantrolene group were decreased,and the Ca2+ content was increased(all P＜0.05),the electromyogram showed electrical activity changes,the ultrastructure of the trigger point tissue was damaged.Conclusion The pressing and rubbing method may improve MPS in rats by activating the DHPR/RyR signaling pathway.

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Leukemia has become an important threat to human health,and infection complications are the main obstacle to the clinical leukemia treatment.The intestinal barrier integrity was damaged due to the tumor characte-ristics of leukemia and high-intensity chemotherapy,intestinal bacterial translocation is an important cause for bloodstream infection.Mucosal barrier injury laboratory-confirmed bloodstream infection(MBI-LCBI)is an impor-tant component of bloodstream infection in patients with acute leukemia,but relevant research is very limited.The paper reviews the mucosal barrier injury,bacterial translocation,as well as the definition,diagnosis and prevalence of MBI-LCBI,analyzes the mechanism of intestinal microecology in regulating intestinal mucosal barrier integrity and effect of MBI-LCBI,aiming to provide theoretical basis for prevention,treatment and management of chemo-therapy-induced mucositis and MBI-LCBI.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.