Objective:To investigate the application and clinical efficacy of customized, 3D-printed femoral bone marrow stems in the revision of tumor prostheses.Methods:A retrospective analysis was performed for the data of 11 patients (7 males and 4 females) aged 53.1±11.7 years (range, 38-75 years), who underwent 3D-printed customized revision of femoral intramedullary stems due to loosening of femoral tumor prostheses at the 960th Hospital of the Joint Support Force of the PLA from June 2021 to June 2023. The pathological types of tumors associated with the initial surgeries included 4 cases of giant cell tumor of bone, 5 cases of osteosarcoma, 1 case of chondrosarcoma, and 1 case of plasma cell tumor. The tumor was located at the distal femur in 8 cases and the proximal femur in 3 cases. The procedures included 3 initial revisions, 7 secondary revisions, and 1 tertiary revision. The average limb shortening measured 4.6±2.2 cm (range, 2.5-9.0 cm). Prior to revision, all prostheses were fixed with bone cement, revealing enlargement of the femoral medullary cavity and cortical bone thinning. Among them, 5 cases had intramedullary stems permeabilizing the femoral cortex, and 1 case had femoral cleavage fractures. All 11 patients received personalized data for the design and 3D printing of femoral bone marrow stems.Results:The lengths and diameters of the 3D-printed porous femoral bone marrow stems ranged from 80 to 160 mm and 20 to 22 mm, respectively. Ten patients were fitted with cylindrical intramedullary handles, while one received a conical intramedullary handle. A successful revision with the 3D-printed stems was achieved in 10 patients; however, 1 case failed to accommodate the conical handle and was instead revised with a bone cement prosthesis. During the implantation of the intramedullary stems, three patients experienced minor cortical splitting, which was managed with bundling and fixation during the procedure. Immediate stability was attained for all prostheses during surgery, yet postoperative limb shortening did not undergo significant correction. All patients exhibited normal healing of their postoperative incisions. The visual analog scale for limb pain decreased significantly from 8.0±0.8 points before surgery to 1.0±0.4 points three months postoperatively ( t=25.957, P<0.001). By six months after the surgery, none of the patients reported any limb pain. Follow-up data for all 11 patients indicated an average follow-up duration of 25.2±7.5 months (range, 16-36 months), during which limb function improved satisfactorily. The Musculoskeletal Tumor Society (MSTS) score increased from 7.9±1.4 points preoperatively to 20.9±2.7 points at the last follow-up, with this change also being statistically significant ( t=14.229, P<0.001). Imaging evaluations revealed normal lower limb force lines, no rotation or longitudinal displacement of the prosthetic stem, and successful integration with the femur. Conclusion:Personalized intramedullary stems produced through 3D printing demonstrate significant clinical effectiveness in femoral tumor prosthesis revision surgery, making them a viable option for such procedures.

Objective:To explore the potential profile characteristics of family health in patients with chronic diseases, analyze the influencing factors of different family health categories, and further investigate the relationship between family health categories and the quality of life in patients with chronic diseases, providing a scientific basis for targeted intervention strategies.Methods:This study was a cross-sectional survey. The data for the study were obtained from the Chinese Residents' Psychology and Behavior Survey Research Database. A multistage sampling method was employed to select 1 808 patients with chronic diseases as survey respondents from July to September 2021. Data were collected using the General Information Questionnaire, the Family Health Scale, and the European 5-Dimensional 5-Level Health Scale(EQ-5D-5L). Potential profiles of family health in patients with chronic diseases were identified using latent profile analysis. Univariate analysis and multiple Logistic regression were used to examine influencing factors, and generalized linear regression was performed to analyze the impact of different family health categories on quality of life.Results:A total of 1 808 chronic disease patients were enrolled, comprising 986 males and 822 females, with a age of (55.23 ± 7.02) years. The scores of family health, EQ-5D-5L, EuroQol Visual Analogue Scale were 38(34, 43), 0.94(0.84, 1.00), and 78(63, 87) points. The family health of patients with chronic diseases were categorized into three potential profiles: the low family health group (418 cases accounting for 23.1%), the medium family health group (747 cases accounting for 41.3%), and the high family health group (643 cases accounting for 35.6%). Multivariate Logistic regression analysis showed that family type, marital status, nature of household, education level, number of siblings and type of health insurance were significant factors influencing family health categories ( OR values were 0.464-2.503, all P<0.05). The family health was an important factor influencing quality of life ( χ2 values were 4.05-100.68, all P<0.05). Conclusions:There is significant heterogeneity in the family health of patients with chronic diseases, which can be divided into three distinct categories. Patients with higher family health levels have better quality of life. Medical professionals should develop precise intervention programs tailored to the characteristics of each category to improve family health levels and enhance the quality of life of patients with chronic diseases.

Objective:To investigate the application and clinical efficacy of customized, 3D-printed femoral bone marrow stems in the revision of tumor prostheses.Methods:A retrospective analysis was performed for the data of 11 patients (7 males and 4 females) aged 53.1±11.7 years (range, 38-75 years), who underwent 3D-printed customized revision of femoral intramedullary stems due to loosening of femoral tumor prostheses at the 960th Hospital of the Joint Support Force of the PLA from June 2021 to June 2023. The pathological types of tumors associated with the initial surgeries included 4 cases of giant cell tumor of bone, 5 cases of osteosarcoma, 1 case of chondrosarcoma, and 1 case of plasma cell tumor. The tumor was located at the distal femur in 8 cases and the proximal femur in 3 cases. The procedures included 3 initial revisions, 7 secondary revisions, and 1 tertiary revision. The average limb shortening measured 4.6±2.2 cm (range, 2.5-9.0 cm). Prior to revision, all prostheses were fixed with bone cement, revealing enlargement of the femoral medullary cavity and cortical bone thinning. Among them, 5 cases had intramedullary stems permeabilizing the femoral cortex, and 1 case had femoral cleavage fractures. All 11 patients received personalized data for the design and 3D printing of femoral bone marrow stems.Results:The lengths and diameters of the 3D-printed porous femoral bone marrow stems ranged from 80 to 160 mm and 20 to 22 mm, respectively. Ten patients were fitted with cylindrical intramedullary handles, while one received a conical intramedullary handle. A successful revision with the 3D-printed stems was achieved in 10 patients; however, 1 case failed to accommodate the conical handle and was instead revised with a bone cement prosthesis. During the implantation of the intramedullary stems, three patients experienced minor cortical splitting, which was managed with bundling and fixation during the procedure. Immediate stability was attained for all prostheses during surgery, yet postoperative limb shortening did not undergo significant correction. All patients exhibited normal healing of their postoperative incisions. The visual analog scale for limb pain decreased significantly from 8.0±0.8 points before surgery to 1.0±0.4 points three months postoperatively ( t=25.957, P<0.001). By six months after the surgery, none of the patients reported any limb pain. Follow-up data for all 11 patients indicated an average follow-up duration of 25.2±7.5 months (range, 16-36 months), during which limb function improved satisfactorily. The Musculoskeletal Tumor Society (MSTS) score increased from 7.9±1.4 points preoperatively to 20.9±2.7 points at the last follow-up, with this change also being statistically significant ( t=14.229, P<0.001). Imaging evaluations revealed normal lower limb force lines, no rotation or longitudinal displacement of the prosthetic stem, and successful integration with the femur. Conclusion:Personalized intramedullary stems produced through 3D printing demonstrate significant clinical effectiveness in femoral tumor prosthesis revision surgery, making them a viable option for such procedures.

Objective:To understand nurses' experiences providing discharge preparation services for elderly patients with multiple chronic diseases and offer references for developing intervention strategies for discharge preparation services for these patients.Methods:A purposive sampling method was used to select 24 nurses from the cardiovascular departments, geriatrics wards, and other internal medicine departments of three Grade A tertiary hospitals, four Grade B hospitals, and one community health service center in Guilin City between March and April 2024. An interview outline was developed based on the social-ecological system theory, and semi-structured interviews were conducted to collect data. A directed content analysis method was used to analyze the data.Results:A total of three themes were identified: micro-level (nurses have a positive attitude but face shortcomings in age-appropriate discharge preparation services), meso-level (team collaboration mechanisms are weak), and macro-level (there is a desire to link social resources) .Conclusions:Nurses' discharge preparation services for elderly patients with multiple chronic diseases are inadequate. It is recommended to enhance nurses' discharge preparation skills through core competency-based training, improve the development of innovative healthcare platforms, and promote establishing of a multi-dimensional social care support system to improve the quality of discharge preparation services for elderly patients with multiple chronic diseases.

Objective:To explore the potential profile characteristics of family health in patients with chronic diseases, analyze the influencing factors of different family health categories, and further investigate the relationship between family health categories and the quality of life in patients with chronic diseases, providing a scientific basis for targeted intervention strategies.Methods:This study was a cross-sectional survey. The data for the study were obtained from the Chinese Residents' Psychology and Behavior Survey Research Database. A multistage sampling method was employed to select 1 808 patients with chronic diseases as survey respondents from July to September 2021. Data were collected using the General Information Questionnaire, the Family Health Scale, and the European 5-Dimensional 5-Level Health Scale(EQ-5D-5L). Potential profiles of family health in patients with chronic diseases were identified using latent profile analysis. Univariate analysis and multiple Logistic regression were used to examine influencing factors, and generalized linear regression was performed to analyze the impact of different family health categories on quality of life.Results:A total of 1 808 chronic disease patients were enrolled, comprising 986 males and 822 females, with a age of (55.23 ± 7.02) years. The scores of family health, EQ-5D-5L, EuroQol Visual Analogue Scale were 38(34, 43), 0.94(0.84, 1.00), and 78(63, 87) points. The family health of patients with chronic diseases were categorized into three potential profiles: the low family health group (418 cases accounting for 23.1%), the medium family health group (747 cases accounting for 41.3%), and the high family health group (643 cases accounting for 35.6%). Multivariate Logistic regression analysis showed that family type, marital status, nature of household, education level, number of siblings and type of health insurance were significant factors influencing family health categories ( OR values were 0.464-2.503, all P<0.05). The family health was an important factor influencing quality of life ( χ2 values were 4.05-100.68, all P<0.05). Conclusions:There is significant heterogeneity in the family health of patients with chronic diseases, which can be divided into three distinct categories. Patients with higher family health levels have better quality of life. Medical professionals should develop precise intervention programs tailored to the characteristics of each category to improve family health levels and enhance the quality of life of patients with chronic diseases.

Objective:To understand nurses' experiences providing discharge preparation services for elderly patients with multiple chronic diseases and offer references for developing intervention strategies for discharge preparation services for these patients.Methods:A purposive sampling method was used to select 24 nurses from the cardiovascular departments, geriatrics wards, and other internal medicine departments of three Grade A tertiary hospitals, four Grade B hospitals, and one community health service center in Guilin City between March and April 2024. An interview outline was developed based on the social-ecological system theory, and semi-structured interviews were conducted to collect data. A directed content analysis method was used to analyze the data.Results:A total of three themes were identified: micro-level (nurses have a positive attitude but face shortcomings in age-appropriate discharge preparation services), meso-level (team collaboration mechanisms are weak), and macro-level (there is a desire to link social resources) .Conclusions:Nurses' discharge preparation services for elderly patients with multiple chronic diseases are inadequate. It is recommended to enhance nurses' discharge preparation skills through core competency-based training, improve the development of innovative healthcare platforms, and promote establishing of a multi-dimensional social care support system to improve the quality of discharge preparation services for elderly patients with multiple chronic diseases.

Objective:To investigate the occurrence rate and distribution pattern of three-rooted mandibular molars in children using CBCT.Methods:CBCT images of 206 children aged 4-11 years were retrospectively analyzed.The root numbers of the bilateral man-dibular first and second deciduous molars,and the permanent mandibular first molars were recorded.A chi-square test was used to de-tect the gender and side difference.Spearman correlation test was used to analyze the relation between the bilateral homologous teeth and the mandibular first and second deciduous molars on each side.Results:The occurrence rate of three-rooted mandibular first and second deciduous molars and mandibular permanent first molars was 10.9％(19/175),25.1％(46/183)and 28.4％(57/201)for individuals,respectively(x2=18.543,P＜0.01),and 8.7％(32/366),19.0％(73/384)and 23.6％(95/402)for teeth(x2=30.692,P＜0.01),re-spectively.Gender difference was not detected for each tooth type(all P＞0.05),while side differences were detected in mandibular sec-ond deciduous molars and the frequency of three-rooted molar on the right and left side was 23.7％and 14.2％(P＜0.05),respectively.The concurrence rate of bilateral three-rooted mandibular deciduous first and second molars and mandibular permanent first molars was 57.9％(11/19),47.8％(22/46)and 66.7％(38/57),respectively,and the rho was 0.710,0.597 and 0.745,respectively(all P＜0.01);between the three-rooted deciduous first and second molars on the left side,rho=0.188(P＜0.05)and on the right side,rho=0.304(P＜0.01).Conclusion:The occurrence rate of three-rooted mandibular molars in children increases in the following sequence:first deciduous molars＜second deciduous molars＜first permanent molars.They frequently occur bilaterally and exhibit a moderate to high degree of correlation.However,the correlation was very weak between the mandibular deciduous first and second molars.

Background::Sentinel lymph node (SLN) biopsy is gradually accepted as the standard of care in breast cancer patients with down-staged axillary disease after neoadjuvant chemotherapy (NAC). However, it is still difficult to precisely define pre-NAC clinical node-positive (cN1) and post-NAC clinical node-negative (ycN0). This prospective single-center trial was designed to evaluate the feasibility and accuracy of standard targeted axillary dissection (TAD) after NAC in highly selective pre-NAC cN1 patients (not considering ultrasound-based axillary ycN staging).Methods::This prospective trial included patients with initial pre-NAC cT1–3N1M0 invasive breast cancer but with a rigorous definition of cN1 from the Affiliated Cancer Hospital of Zhengzhou University. When NAC was effective (including complete and partial responses) and preoperative axillary palpation was negative, preoperative ultrasound-based axillary staging was not considered, and all patients underwent TAD followed by axillary lymph node (LN) dissection. The detection rate (DR) and false-negative rate (FNR) of TAD were calculated.Results::A total of 82 patients were included, and 77 of them were eligible for data analysis. The DR for TAD was 94.8% (73/77). There were 26 patients with one abnormal LN at the time of diagnosis based on ultrasound, 45 patients with two, and 2 patients with three. One patient had one TAD LN, four patients had two TAD LNs, and 68 patients had three or more TAD LNs. Preoperative axillary palpation yielded negative results for all 73 patients who successfully underwent TAD. Preoperative ultrasound-based ycN0 and ycN+ conditions were detected for 52 and 21 cases, respectively. The FNR was 7.4% (2/27) for standard TAD (≥3 SLNs), which was lower than that of all successful TAD (≥1 SLN; 10.0%, 3/30).Conclusions::In rigorously defined pre-NAC cN1 breast cancer patients, standard TAD is feasible for those with negative axillary palpation after NAC, and FNR is also less than 10%.Registration::chictr.org.cn, ChiCTR2100049093

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

Purpose: Patients with human epidermal growth factor receptor 2 (HER2)–low advanced breast cancer can benefit from trastuzumab deruxtecan. Given the unclear prognostic characteristics of HER2-low breast cancer, we investigated the prognostic characteristics of HER2-low expression from primary tumor to residual disease after neoadjuvant chemotherapy (NACT). Materials and Methods: The data of HER2-negative patients receiving NACT at our center were collected. Pathological complete response (pCR) rate were compared between HER2-0 and HER2-low patients. The evolution of HER2 expression from primary tumor to residual disease and its impact on disease-free survival (DFS) were examined. Results: Of the 690 patients, 494 patients had HER2-low status, of which 72.3% were hormone receptor (HR)–positive (p < 0.001). The pCR rates of HER2-low and HER2-0 patients (14.2% vs. 23.0%) showed no difference in multivariate analysis regardless of HR status. No association was observed between DFS and HER2 status. Of the 564 non-pCR patients, 57 (10.1%) changed to HER2-positive, and 64 of the 150 patients (42.7%) with HER2-0 tumors changed to HER2-low. HER2-low (p=0.004) and HR-positive (p=0.010) tumors before NACT were prone to HER2 gain. HER2 gain patients had a better DFS compared with HER2-negative maintained patients (87.9% vs. 79.5%, p=0.048), and the DFS of targeted therapy group was better than that of no targeted therapy group (92.4% vs. 66.7%, p=0.016). Conclusion Although HER2-low did not affect the pCR rate and DFS, significant evolution of HER2-low expression after NACT creates opportunities for targeted therapy including trastuzumab.