Osteoporotic proximal humeral fracture (OPHF) is one of the common osteoporotic fractures in the aged, with an incidence only lower than vertebral compression fracture, hip fracture, and distal radius fracture. OPHF, secondary to osteoporosis and characterized by poor bone quality, comminuted fracture pattern, slow healing, and severely impaired shoulder joint function, poses a big challenge to the current clinical diagnosis and treatment. In the field of diagnosis, treatment, and rehabilitation of OPHF, traditional Chinese and Western medicine have accumulated rich experience and evidence from evidence-based medicine and achieved favorable outcomes. However, there is still a lack of guidance from a relevant consensus as to how to integrate the advantages of the two medical systems and achieve the integrated diagnosis and treatment. To promote the diagnosis and treatment of OPHF with integrated traditional Chinese and Western medicine, relevant experts from Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine have been organized to formulate Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine ( version 2024) by searching related literatures and based on the evidences from evidence-based medicine. This consensus consists of 13 recommendations about the diagnosis, treatment and rehabilitation of OPHF with integrated traditional Chinese medicine and Western medicine, aimed at standardizing, systematizing, and personalizing the diagnosis and treatment of OPHF with integrated traditional Chinse and Western medicine to improve the patients ′ function.

Objective To understand current epidemic trend of coronavirus disease-2019(COVID-19)in Anhui province in the optimization policy stage,and to analyze the pathogenic characteristics of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)in different population.Methods Using a cross-sectional survey design,from December 19 to 20,2022,an online questionnaire survey was conducted among residents of Anhui province through the official Wechat public accounts of provincial and municipal institutions with high traffic,to collect infor-mation on the incidence and clinic situation of COVID-19.The chi-square test was used to compare the proportion of COVID-19 suspected symptoms in different regions,ages and occupations.Results A total of 69 014 question-naires were distributed and 68 232 valid questionnaires were recovered with an effective rate of 98.97％.The pro-portion of the participants with COVID-19 suspected symptoms in the past 2 weeks was 51.37％,of which 77.88％self-medicated at home.The top three cities were Bozhou,Fuyang and Bengbu.The age group of 15-59 had the highest proportion of COVID-19 suspected symptoms(51.96％).Among various occupations,service providers had the highest proportion of COVID-19 suspected symptoms(61.07％).70.20％of the respondents felt anxious about the infection of SARS-CoV-2 and thought it was more serious than the flu.Conclusion The relatively high number of the infected cases and the anxiety of the people are all challenges faced by Anhui province in the stage of optimizing policies.Under the new situation of the epidemic,it is necessary to continuously monitor the local preva-lent strains and strengthen the monitoring of clinical symptoms of the infected cases,and effectively control the speed of the virus spread through public health policies and various economic and publicity measures,so as not to cause a run on medical resources and excessive excess deaths.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

Objective : To analyze the epidemiological characteristics of influenza in Anhui province from 2018 to 2023 , and to explore the change rule of influenza etiology , so as to provide reference for the prevention and control of influenza. Methods : Sentinel hospital surveillance data and network laboratory etiological surveillance data of influenza⁃like cases (ILI) in Anhui province from 2018 to 2023 were collected by " China influenza surveillance information system" , and the data were analyzed using Excel 2019 and SPSS 25. 0. Results : From 2018 to 2023 , ILI% in Anhui province were 3. 74% , 4. 26% , 3. 53% , 4. 34% , 6. 80% , respectively. The positive rates of influenza virus were 14. 87% , 19. 98% , 0. 12% , 12. 39% and 24. 72% , respectively. There were significant differences in time distribution and age distribution of ILI% and influenza virus positive rates (P < 0. 001) . Influenza mainly occurred from December to March and from June to August in Anhui province. The positive rate of influenza virus detection was the highest among children under 15 years old , which was the main population of influenza cases. The outbreaks had mainly occurred in primary and secondary schools and childcare facilities. Conclusion There are two incidence peaks of influenza each year, one is in winter and spring , another one is in summer. From December to March , from June to August are the critical periods of influenza control and prevention. Children under 15 years old are the key groups and schools are the key places of influenza control and prevention. Continuous influenza surveillance can provide scientific basis for the prevention and control of influenza in Anhui province.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

【Objective】 To investigate the effects of preoperative ureteroscopy (URS) on the intravesical recurrence (IVR) in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). 【Methods】 The clinical data of 241 UTUC patients treated during May 2012 and Jan.2020 in the Second Hospital of Laozhou University were retrospectively analyzed. The patients were divided into URS before RNU group (URS group) and non-URS before RNU group (non-URS group). The cumulative IVR rate, progression-free survival (PFS) and overall survival (OS) after RNU were compared, and the survival curve was drawn. Cox proportional hazards models were used to assess risk factors affecting IVR. 【Results】 Of the 241 patients, 64 (26.6%) were included in the URS group and 177 (73.4%) in the non-URS group. In the URS group, 49 underwent biopsy and 15 did not. All patients were followed up for a median of 44 (3 to 122) months, with a median time to recurrence of 12 (3 to 56) months. IVR occurred in 18 patients (28.1%) in the URS group and 25 (14.1%) in the non-URS group. Kaplan-Meier survival analysis showed that the cumulative IVR rate was higher in the URS group than in the non-URS group (all P<0.05), regardless of whether patients had a history of bladder cancer (BC) or not, while PFS was lower in the URS group than in the non-URS group (P=0.007). Cox multivariate regression analysis showed that URS (P=0.031) and complicated renal pelvis tumor and ureteral tumor (P=0.004) were independent risk factors for IVR. 【Conclusion】 Preoperative URS increases the incidence of IVR in patients with UTUC, and routine preoperative use of URS is not recommended.

Ureteroscopy plays an important role in the diagnosis and treatment of upper tract urothelial carcinoma (UTUC). Conventional ureteroscopy (URS) can not only identify the location, appearance and size of a tumor, but also assess tumor grade by biopsy. The continued development of electronic flexible ureteroscopy and assistive technologies has led to further advances in the diagnosis of UTUC. Ureteroscopic laser ablation can be used to treat low grade malignancy, renal insufficiency, or isolated kidney. However, the use of URS may have potential risks such as delay of radical treatment, increased surgical difficulty, intraoperative or postoperative complications and intravesical recurrence. This article reviews the advantages and disadvantages of ureteroscopy in the diagnosis and treatment of UTUC.

Implementation research is a discipline that attempts to promote the application of evidence-based interventions in different settings and populations by using various methods and measures. Implementation strategies are the central part of implementation research, and as the field of implementation science evolves, more and more implementation strategies have been developed to facilitate the application of evidence-based interventions in the real world. To help researchers better understand and apply implementation strategies, this study will introduce implementation strategies in three aspects: classification, selection and application, and report.
Humans ; Implementation Science

Familial pheochromocytoma belongs to autosomal dominant inheritance, and has complex and variable clinical manifestations. A child with bilateral PHEO was admitted to our hospital. His grandmother, father and brother were all diagnosed with PHEO, and his aunt was diagnosed with paraganglioma. The child underwent laparoscopic left partial adrenalectomy and open surgery for the contralateral tumor, and was in good postoperative condition. The blood pressure returned to normal and there was no local recurrence and metastasis during the follow-up of 8 months after the second operation.

Objective:To establish and validate a risk prediction model of disseminated intravascular coagulation (DIC) by the screening independent risk factors for the occurrence of DIC in patients with electrical burns.Methods:The retrospective case series study was conducted. The clinical data of 218 electrical burn patients admitted to Baogang Hospital of Inner Mongolia from January 2015 to January 2023 who met the inclusion criteria were collected, including 198 males and 20 females, with the age of (38±14) years. The patients were divided into DIC group and non DIC group based on whether they were diagnosed with DIC during the treatment period. The following data of patients of two groups were collected and compared, including age, gender, total burn area, full-thickness burn area, injury voltage, whether osteofascial compartment syndrome occurred within 1 day after injury, duration of stay in burn intensive care unit, total length of hospital stay, whether combined with inhalation injury and multiple injuries, whether shock occurred upon admission, the abbreviated burn severity index score, and the acute physiology and chronic health evaluation Ⅱ score. The laboratory examination data of the patients within 24 hours after admission were also collected, including blood routine indexes: white blood cell count (WBC), hemoglobin level, platelet count (PLT), and neutrophil count; coagulation indexes: activated partial thromboplastin time (APTT), prothrombin time, thrombin time, and levels of D-dimer and fibrinogen (FIB); blood biochemistry indexes: aspartic transaminase, alanine transaminase, direct bilirubin, total bilirubin, total protein, albumin, blood glucose, creatinine, and urea nitrogen; blood gas analysis indexes: blood pH value, arterial partial pressure of oxygen, arterial partial pressure of carbon dioxide, bicarbonate, and base excess; and cardiac zymogram indexes: levels of myoglobin, troponin, lactate dehydrogenase, creatine kinase (CK), and α-hydroxybutyrate dehydrogenase. Data were statistically analyzed with chi-square test, Fisher's exact probability test, independent sample t test, and Mann-Whitney U test. For the variables with statistically significant differences in single factor analysis, the least absolute value selection and shrinkage operator (LASSO) regression was used to reduce the dimension, and the predictive factors for DIC in 218 patients with electrical burns were screened. The above-mentioned predictors were included in multivariate logistic regression analysis to find out the independent risk factors for DIC in 218 patients with electrical burns, and to draw the prediction model nomograms. The performance of the prediction model was evaluated by the receiver operating characteristic (ROC) curve and the area under the ROC curve, and the prediction model was validated by the calibration curve and clinical decision curve analysis (DCA). Results:Compared with those in non DIC group, the total burn area, full-thickness burn area, total length of hospital stay, and the proportions of high voltage caused injury, occurrence of osteofascial compartment syndrome within 1 day after injury, combination of inhalation injury, and occurrence of shock upon admission of patients in DIC group were significantly increased/prolonged (with Z values of -2.53, -4.65, and -2.10, respectively, with χ2 values of 11.46, 16.00, 7.98, and 18.93, respectively, P<0.05). Compared with those in non DIC group, the APTT, level of D-dimer, myoglobin, WBC, PLT, and levels of FIB, total bilirubin, and CK of patients within 24 hours after admission in DIC group were significantly prolonged/increased (with Z values of -2.02, -4.51, and -3.82, respectively, with t values of -3.84, -2.34, -2.77, -2.70, and -2.61, respectively), and the level of total protein and blood pH value were significantly reduced ( t=-2.85, Z=-2.03), P<0.05. LASSO regression analysis was carried out for the above 17 indicators with statistically significant differences. The results showed that injury voltage, the occurrence of shock upon admission, the occurrence of osteofascial compartment syndrome within 1 day after injury, and levels of D-dimer and total protein within 24 hours after admission were predictive factors for the occurrence of DIC in 218 patients with electrical burns (with regression coefficients of 0.24, 0.52, 0.35, 0.13, and -0.001, respectively). Multivariate logistic regression analysis showed that injury voltage, the occurrence of shock upon admission, the occurrence of osteofascial compartment syndrome within 1 day after injury, and D-dimer level within 24 hours after admission were independent risk factors for DIC in 218 patients with electrical burns (with odds ratios of 3.33, 4.24, 2.68, and 1.38, respectively, with 95% confidence intervals of 1.43-7.79, 1.78-10.07, 1.17-6.13, and 1.19-1.61, respectively, P<0.05). Based on the aforementioned four independent risk factors, the nomogram of prediction model for evaluating the probability of DIC in patients was drawn. The area under the ROC curve of prediction model was 0.88, and the 95% confidence interval was 0.82-0.95, indicating that the model had good predictive ability; the curve of prediction model tended to be near the ideal curve, indicating that the model had a high calibration degree; the clinical DCA of prediction model showed that the threshold probability of patients ranged from 4% to 97%, indicating that the model had good predictive ability. Conclusions:The injury voltage, the occurrence of shock upon admission, the occurrence of osteofascial compartment syndrome within 1 day after injury, and D-dimer level within 24 hours after admission are independent risk factors for the occurrence of DIC in patients with electrical burns. The prediction model established based on the above indicators can provide early warning for the occurrence of DIC in these patients.