ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control. MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period. ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R² of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%). ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

ObjectiveTo analyze the epidemiological characteristics and spatial clustering patterns of brucellosis in humans in Zhangjiakou City, Heibei Province from 2018 to 2023, so as to provide a basis for the prevention and control of brucellosis. MethodsIncidence data of brucellosis in Zhangjiakou City from 2018 to 2023 were collected. Descriptive epidemiological analysis, Joinpoint regression modelling, and spatial autocorrelation analysis were used to analyze the temporal trends and spatial clustering patterns of the epidemic. ResultsA total of 3 812 cases of brucellosis were reported in Zhangjiakou City from 2018 to 2023, with no death case, yielding an average annual incidence rate of 15.43/100 000 (incidence range: 12.82/100 000‒17.76/100 000). Cases of brucellosis occurred year-round, with a distinct seasonal pattern, predominantly concentrated between March and September, peaking in May and June. The male-to-female ratio was 2.58∶1, with a higher incidence in males than that in females. The highest incidence rates were observed in the 40‒<50 years (74.98/100 000) and 50‒<60 years age group (87.14/100 000). The majority of cases were farmers and herdsmen (3 557 cases, 93.31%). Joinpoint regression analyses indicated that from 2018 to 2023, the incidence rate of human brucellosis in pastoral areas of Zhangjiakou City showed a declining trend (APC=-9.70%, 95%CI: -15.31%‒ -4.63%), while the incidence rate in mixed-use areas exhibited an increasing trend (APC=6.90%, 95%CI: 0.17%‒14.30%). Spatial clustering analyses showed that the incidence of brucellosis in Zhangjiakou from 2018 to 2023 was non-randomly distributed across the whole city, with a positive spatial correlation and significant clustering (Moran’s I>0, all P<0.001). Local spatial autocorrelation analyses showed that the high-high clusters were concentrated in the pastoral areas during 2018‒2020. From 2021 onward, the number of high-high clusters in mixed and non-pastoral regions exceeded those in traditional pastoral areas. ConclusionFrom 2018 to 2023, the incidence of brucellosis in Zhangjiakou City showed a declining trend, with significant spatial clustering observed across the city. It is recommended to intensify health education among males aged 40‒<60 years. Scientific livestock management practices should be promoted in non-pastoral and mixed areas, and cross-sectoral quarantine and joint prevention and control efforts should be strengthened as well.

Objective To explore the reliability and safety of continuous monitoring of vital signs in patients using wireless wearable monitoring devices after video-assisted thoracoscopic surgery (VATS) for lung cancer. Methods The patients undergoing VATS for lung cancer in West China Hospital, Sichuan University from May to August 2023 were prospectively enrolled. Both wireless wearable and traditional wired devices were used to monitor the vital signs of patients after surgery. Spearman correlation analysis, paired sample t test and ratio Bland-Altman method were used to test the correlation, difference and consistency of monitoring data measured by the two devices. The effective monitoring rate of the wireless wearable device within 12 hours was calculated to test the reliability of its continuous monitoring. Results A total of 20 patients were enrolled, including 15 females and 5 males with an average age of 46.20±11.52 years. Data collected by the two monitoring devices were significantly correlated (P<0.001). Respiratory rate and blood oxygen saturation data collected by the two devices showed no statistical difference (P>0.05), while heart rate measured by wireless wearable device was slightly lower (=−0.307±1.073, P<0.001), and the blood pressure (=1.259±5.354, P<0.001) and body temperature(=0.115±0.231, P<0.001) were slightly higher. The mean ratios of heart rate, respiratory rate, blood oxygen saturation, blood pressure and body temperature collected by the two devices were 0.996, 1.004, 1.000, 1.014, and 1.003, respectively. The 95% limits of agreement (LoA) and 95% confidence interval of 95%LoA of each indicator were within the clinically acceptable limit. The effective monitoring rate of each vital signs within 12 hours was above 98%. Conclusion The wireless wearable device has a high accuracy and reliability for continuous monitoring vital signs of patients after VATS for lung cancer, which provides a security guarantee for subsequent large-scale clinical application and further research.

Traditional Chinese medicine has been paid more and more attention in the development of modern healthcare,and its clinical diagnosis and treatment have broad prospects and enormous potential.However,the current traditional Chinese medicine diagnosis and treatment model have serious shortcomings in service capacity and,diagnosis,and treatment effect.The rapid development of big data and artificial intelli-gence technology provides an opportunity for the iterative upgrade of traditional Chinese medicine diagnosis and treatment models.This article reviewed the current situation of artificial intelligence empowering tradi-tional Chinese medicine clinical diagnosis and treatment,clarified the problems and challenges faced by artifi-cial intelligence technology in data integration,data quality,and data analysis in traditional Chinese medicine clinical diagnosis and treatment,and proposed to empower from the aspects of disciplinary integration,data quality optimization,data privacy protection,and promotion and application,so as to provide reference for im-proving the effectiveness of traditional Chinese medicine clinical diagnosis and treatment.

Objectives:To evaluate the valvular and cardiac function,cardiac reverse remodeling at 6-month after transcatheter edge-to-edge repair(TEER)for patients with functional and degenerative mitral valve regurgitation,and summarize the experience of echocardiography application. Methods:The clinical data of 93 patients with moderate to severe mitral regurgitation(MR)treated with TEER and completed 6-month follow-up in Yunnan Fuwai Cardiovascular Hospital from July 2022 to February 2023 were retrospectively analyzed.Patients were divided into functional mitral regurgitation(FMR)and degenerative mitral regurgitation(DMR)groups according to MR etiology.The valve characteristic parameters,as well as valvular function,chamber volume and cardiac functional parameters before and at 6 months after operation were compared.The key points of echocardiography application were summarized. Results:Among all patients,71 were FMR and 22 were DMR.There were differences in valve structure between the two groups.Mitral TEER were successfully accomplished and all patients completed 6-month follow-up.The key points of echocardiography application included:valve structure analysis,atrial septal puncture location,device delivery process monitoring and image optimization during clamping process.The mitral regurgitation grade and NYHA grade were significantly improved in all patients at 6 months after TEER(P<0.05),and the mean mitral valve pressure gradient was higher than that before operation(P<0.05).Left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV)and left atrial volume index in FMR group were significantly decreased(P<0.05),while left ventricular and left atrial volume in DMR group remained unchanged(P>0.05).There were no significant changes in left ventricular ejection fraction and left ventricular global strain in both groups during the observation period(P>0.05).The changes of LVEDV and LVESV before and after operation were more significant in FMR group than those in DMR group(P<0.05). Conclusions:Mitral TEER can reduce the degree of regurgitation and improve cardiac function in the early postoperative period for moderate and severe MR patients with different etiologies.There are differences in preoperative valve structure and postoperative cardiac reverse remodeling between FMR and DMR patients.Echocardiography is an important imaging technique for the evaluation and monitoring process before,during and post mitral TEER.

ObjectiveTo analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) in Zhangjiakou City, Hebei Province from 2013 to 2022, so as to provide a basis for HFMD prevention, control, and evaluation of intervention effectiveness. MethodsHFMD data of Zhangjiakou City from 2013 to 2022 were collected. Descriptive statistics and the Joinpoint regression model were used to analyze the trend of the epidemic. ResultsThe incidence of HFMD in Zhangjiakou was predicted to decrease with APC=-14.86% in 2013‒2022. The top five regions with the highest incidence showed varying trends: Qiaodong District (APC=-26.21%), Qiaoxi District (APC=-18.29%), Xuanhua District (APC=-14.28%), Chicheng District (APC=-18.68%), and Zhuolu County (APC=51.43% in 2013‒2016, APC=-14.27% in 2016‒2022), indicating a downward trend. Three age groups showed an upward trend in incidence: the 0-year-old group (APC=-42.82% in 2013‒2016, APC=16.54% in 2016‒2022), the 7-year-old group (AAPC=9.60%), and the 9-year-old group (AAPC=12.76%). HFMD cases occurred throughout the year, peaking from June to August, with July being the most significant month. The male-to-female ratio was1.40∶1, with no statistical difference (χ²=5.932, P>0.05). A high incidence was in children under 5 years old, with those aged 1‒4 years being the main affected group. In terms of occupation, scattered children (6 245 cases, 57.65%) and preschool children (3 653 cases, 33.72%) were the most affected. A total of 504 laboratory-confirmed cases were reported, with a detection rate of 4.65% (504/10 832). The composition of confirmed cases included CoxA 16 (193 cases, 38.29%), EV71 (75 cases, 14.88%), and other enteroviruses (236 cases, 46.83%). ConclusionFrom 2013 to 2022, HFMD in Zhangjiakou City showed a downward trend with clear seasonal, regional, and occupational distributions. It is suggested that epidemic monitoring should be strengthened, etiological detection should be enhanced, and education efforts in key areas should be improved. High-incidence counties should analyze data and conduct risk assessments effectively.