Objective To implement the disease prevention and control strategy of being ^"proactive and grassroots-focused,^" and to enhance the overall effectiveness of general hospitals in the tertiary prevention of cervical cancer, this consensus aims to provide an actionable guiding framework for the standardized construction of ^"Integrated Outpatient Clinics for Cervical Cancer Prevention and Control^" in general hospitals at all levels. Methods This consensus systematically elaborates on the specific elements for establishing such integrated clinics and formulates the corresponding standards. Results It is anticipated that the consensus will promote the establishment of standardized, homogeneous, and high-efficiency frontline positions for cervical cancer prevention and control within general hospitals, thereby contributing to the strategic vision of accelerating the elimination of cervical cancer. Conclusion The formulation and promotion of the consensus aim to provide robust clinical practice support for accelerating the realization of China's strategic vision of eliminating cervical cancer.

Objective: To investigate the association between occupational stress and health-related quality of life (HRQoL) among grassroots medical personnels, so as to provide the reference for improving their physical and mental well-being. Methods: From March to May 2024, medical staff from nine street community health service centers in Liangxi District, Wuxi City, Jiangsu Province were selected by a convenient sampling method. Basic information was collected through questionnaire surveys. Occupational stress was assessed using the Core Occupational Stress Measurement Scale. Health utility value and the Visual Analog Scale (EQ-VAS) score were investigated using the European Quality of Life Five-Dimension Five-Level (EQ-5D-5L) questionnaire. The association between occupational stress and HRQoL was analyzed using multiple linear regression model. Results: A total of 909 individuals were surveyed, including 141 males (15.51%) and 768 females (84.49%). The average occupational stress score was (24.41±9.45) points. The average health utility value was (0.96±0.07), with 372 individuals (40.92%) experiencing health problems in at least one dimension. The primarily problems were pain/discomfort and anxiety/depression, with 249 (27.39%) and 265 (29.15%) individuals, respectively. The average EQ-VAS score was (86.62±13.84) points. Multiple linear regression analysis revealed that occupation (nurses, β'=0.101; pharmacists, β'=0.101; medical technicians, β'=0.090), professional title (intermediate, β'=-0.079; associate senior, β'=-0.081; senior, β'=-0.101), and occupational stress (β'=-0.288) were influencing factors for health utility value. Occupation (nurses, β'=0.087; pharmacists, β'=0.146; medical technicians, β'=0.073) and occupational stress (β'=-0.226) were influencing factors for EQ-VAS score. After adjusting for variables such as gender, age, educational level, occupation, professional title, work experience, and monthly income, grassroots medical personnels with higher occupational stress score had lower health utility values (β'=-0.296) and EQ-VAS score (β'=-0.237). Conclusions Occupational stress can reduce the HRQoL among grassroots medical personnels. It is recommended to regularly assess occupational stress levels and intervene early to address their psychological and physical health issues.

Objective To construct a Nomogram prediction model for short-term prognosis of coronary heart disease(CAD)patients with hypertension after percutaneous coronary intervention(PCI)based on re-nin-angiotensin-aldosterone(ALD)system(RAAS)and Syntax score of coronary artery disease,so as to pro-vide a favorable basis for improving the prognosis of patients.Methods A total of 310 CAD patients with hy-pertension admitted to Jintang Hospital of West China Hospital of Sichuan University from June 2019 to April 2023 were selected.According to the ratio of 7:3,310 patients were randomly divided into a training set(217 cases)and a validation set(93 cases).All patients underwent PCI and were followed up for 3 months.The training set was further divided into poor prognosis group(n=68)and good prognosis group(n=148)ac-cording to the incidence of major adverse cardiovascular events(MACE).Multivariate Logistic regression model was used to analyze the risk factors of poor prognosis.The Nomogram prediction model was construc-ted by the R language in the training set,and the calibration curve and receiver operating characteristic(ROC)curve were used to verify the prediction efficiency of the model in the validation set.Results There was no significant difference in the general data between the training set and the validation set(P>0.05).MACE oc-curred in 68 cases(31.34％)in the training set and 28 cases(30.11％)in the validation set.There were sig-nificant differences in age,left ventricular ejection fraction,creatine kinase isoenzyme(CK-MB),number of diseased vessels,renin activity(PRA),angiotensin Ⅱ(ANG Ⅱ),ALD,preoperative Syntax score and N-termi-nal pro-B-type brain natriuretic peptide(NT-proBNP)between the good prognosis group and the poor prog-nosis group(P<0.05).Pearson correlation analysis showed that PRA,ANGⅡ,ALD were positively correla-ted with preoperative Syntax score(r=0.613,0.728,0.695,P<0.05).Lasso regression analysis included age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD,preoperative Syntax score.Multivariate Logistic regression analysis showed that age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD and preoperative Syntax score were independent influencing factors for poor short-term prognosis of PCI treatment(OR=4.448,5.153,4.571,3.875,4.914,4.468,5.224,P<0.05).The ROC curve showed that the area under the curve(AUC)of the Nomogram prediction model for poor short-term prognosis of CAD patients with hypertension after PCI in the training set and validation set were 0.884(95％CI 0.837-0.931)and 0.885(95％CI 0.818-0.953),respectively.The calibration curve showed that the prediction probability of poor short-term outcome of PCI in the training set and the validation set was basically consistent with the actual probability.Conclusion The short-term prognosis of CAD patients with hypertension after PCI is affected by age,left ventricular ejection fraction,number of diseased vessels,PRA,ANG Ⅱ,ALD,preoperative Syntax score and other factors.The Nomogram prediction model based on the above factors has high predictive value and good predictive utility.

Acute leukemia（AL）is a common hematological malignancy in children and adolescents. Chemotherapy is currently the primary treatment for AL.Alternative therapies，such as hematopoietic stem cell transplantation（HSCT），targeted therapy，and immunotherapy also offer greater hope for the survival of refractory/relapsed patients. Chemotherapeutic drugs，radiotherapy，targeted drugs and immunotherapeutic drugs are well-applied clinically，meanwhile posing threats to non-target systems. The adverse effects on the reproductive system may lead to the dilemma of infertility，thus reducing the long-term quality of life. As the survival rate of AL patients keeps increasing continuously，the influence of different treatments on the gonad function needs to be clarified. With the help of targeted fertility prevention，the patient′s quality of life can be enhanced in parallel with life span. This article aims to review the impact of AL treatment on ovarian function in female children and adolescents and provide ideas for the long-term fertility protection of leukemia patients.

Objective:To investigate the clinical characteristics and prognosis of bloodstream infection caused by carbapenem-resistant Klebsiella pneumoniae (CRKP) in preterm infants, and to provide basis for early clinical diagnosis and infection control. Methods:The clinical data of infants with CRKP bloodstream infection admitted to the Preterm Infants Ward of Children′s Hospital Affiliated to Zhengzhou University from January 2015 to December 2022 were retrospectively analyzed. The risk factors for death in preterm infants caused by CRKP bloodstream infection were explored through multivariate logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the clinical value of each factor on evaluating prognosis. The area under curves (AUC) of each factor in different ROC curve were compared by Delong′s test.Results:A total of 96 preterm infants with CRKP bloodstream infection were included, including 70 in the survival group and 26 in the death group. The first onset symptoms of CRKP bloodstream infection in preterm infants were persistent tachycardia (heart rate>180 per minute) (69 cases, 71.9%), fever (61 cases, 63.5%), and apnea (59 cases, 61.5%). There were 88(91.7%) cases of infection combined with septic shock, and 91(94.8%) cases required vasoactive drug support. Multivariate logistic regression analysis showed that the maximum vasoactive-inotropic score (VIS) within 48 hours of onset (odds ratio ( OR)=1.058, 95% confidence interval (95% CI) 1.022 to 1.095, P=0.001), concurrent purulent meningitis ( OR=8.029, 95% CI 1.344 to 47.972, P=0.022), and concurrent necrotizing enterocolitis (NEC) ( OR=10.881, 95% CI 1.566 to 75.580, P=0.016) were independent risk factors for death in preterm infants with CRKP bloodstream infection. The ROC curve showed that the AUCs for evaluating the prognosis of preterm infants with NEC and purulent meningitis were 0.784 and 0.711, respectively. The AUC for evaluating the prognosis of preterm infants with a maximum VIS ≥52.5 points within 48 hours of onset was 0.840, and the AUC for combining the three factors was 0.931. Compared with NEC and purulent meningitis, the AUC for combining factors was higher, the differences were statistically significant ( P=0.002, P<0.001). Conclusions:Preterm infants with CRKP bloodstream infection who have a maximum VIS ≥52.5 points within 48 hours of onset, with NEC and purulent meningitis have a higher risk of death.

The treatment of craniomaxillofacial (CMF) defects and deformities is highly challenging due to the complex anatomical structures, significant individual variations and high demands for personalized reconstruction. In recent decades, the integration of cutting-edge technologies from fields such as computer science, mechanical engineering, and material science into medicine has greatly facilitated the transformation of CMF surgery from traditional, experience-based approaches to digitalized and intelligent methods. This review thoroughly analyzes the development and application areas of digital technology in CMF surgery including virtual surgical planning and facial prediction, three-dimensional printing, computer-assisted navigation and robotic surgery, virtual and mixed reality, as well as big data and artificial intelligence technologies. The aim is to offer comprehensive and in-depth reference information for the clinical practice in digital CMF surgery.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

ObjectiveTo understand the mortality trends among residents of Fuling District， Chongqing， before and after theCOVID-19 outbreak， and to provide references for the government to formulate disease prevention and control policies and measures. MethodsData on mortality and population in Fuling District from 2017 to 2022 were collected to analyze population mortality and standardized mortality rates， and to compare the changes in the causes of death by year and before and after the pandemic. ResultsFrom 2017 to 2022， the crude mortality rate in Fuling District showed an upward trend （APC=3.04%， P<0.05）， while the standardized mortality rate showed a downward trend （APC=-6.47%， P<0.01）. The mortality rate of males was higher than that of females （P<0.05）， with different age groups having different causes of death composition. The highest proportion of deaths in 0-year-old group was from infectious diseases， maternal and neonatal diseases， and nutritional deficiencies， the highest proportion of deaths in the 1‒24 age group， with the exception of those aged 5‒9， was from injuries， and the main cause of death for residents aged 25 and above was chronic diseases. The mortality rate of mental and behavioral disorders rose from the 13th to the 9th place. According to the epidemic situation of COVID-19， there were no changes in the top five causes of death among the entire population. The motility rate of endocrine， nutritional and metabolic diseases rose from the sixth to the fifth place in male population， and the motility rate of malignant tumor rose from the 3rd to the 2nd place in female population. ConclusionThere are no changes in the top five causes of death among the entire population of Fuling District before and after the COVID-19 outbreak. Chronic diseases remain the main cause of death. It is necessary to control the risk factors for cardiovascular and cerebrovascular diseases such as hypertension， diabetes， and dyslipidemia， and to curb the rising trend of mortality rates from strokes and acute myocardial infarction. For deaths caused by accidental injuries， targeted health education should be conducted for different populations.