Objective:To evaluate the diagnostic performance of resting echocardiography in detecting severe coronary artery stenosis.Methods:A total of 136 patients with suspected coronary artery disease（CAD）who presented to Sichuan Provincial People's Hospital between January 2021 and December 2024 were prospectively enrolled. All patients underwent both coronary computed tomography angiography（CCTA）and transthoracic echocardiography within one week. Based on CCTA results，the patients were divided into non-severe stenosis group（ n=78）and severe stenosis group（ n=58）. Echocardiographic parameters including left atrial maximum volume（LAVmax），left ventricular global longitudinal strain（GLS），left ventricular longitudinal strain of endo-myocardium，mid-myocardium，epi-myocardium（LSendo，LSmid，LSepi），early diastolic mitral inflow velocity（E），early diastolic mitral annular velocity of the lateral and septal walls（e'），and E/e' were measured. Predictive factors for severe coronary stenosis were identified using LASSO regression，and a nomogram model was developed via multivariate Logistic regression. Model performance was evaluated using ROC curves，calibration curves，and decision curve analysis. Results:Multivariate Logistic regression analysis revealed LSendo，LAVmax，and E/e' as independent predictors of severe coronary artery stenosis. The nomogram constructed based on these predictors achieved an area under the curve of 0.798（95% CI=0.723-0.873），with sensitivity and specificity of 0.756 and 0.759，respectively. Conclusions:The resting echocardiography-based nomogram model demonstrates good diagnostic efficacy for severe coronary artery stenosis. It may serve as a noninvasive tool to assist in risk stratification and clinical decision-making in patients with suspected CAD.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Objective:To investigate the epidemic characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Tiantai County Zhejiang Province, and provide a scientific basis for prevention and control of SFTS.Methods:The case data of SFTS in Tiantai County from 2014 to 2024 were collected through the Chinese Disease Control and Prevention Information System, and descriptive epidemic method was employed to analyze its epidemic and clinical characteristics.Results:From 2014 to 2024, a total of 114 SFTS cases were reported in Tiantai County, with an average annual incidence rate of 2.21/100 000. The peak incidence occurred in 2021 (3.40/100 000, 16 cases). Nine cases died, with a mortality rate of 7.89% (9/114). The male-to-female ratio was 1.00∶0.97 (58∶56). The high-risk population was middle-aged and elderly people aged over 50 years old, accounting for 91.23% (104/114). The occupation was mainly farmers, accounting for 92.98% (106/114). The incidence of SFTS had obvious seasonality, with a peak from April to September, accounting for 83.33% (95/114). The average onset date was calculated to be June 25th, and the peak period was from April 19th to August 31st. The distribution of cases was mainly in Tantou Town (34 cases), Shiliang Town (23 cases), Yongxi Township (17 cases), and Pingqiao Town (12 cases), accounting for 75.44% (86/114). From 2014 to 2024, the affected areas had gradually expanded from 1 township/subdistrict to 13 townships/subdistricts, showed a phenomenon of migration from east to west. Among the 114 patients with SFTS, the initial symptom was fever. The proportion of neuropsychiatric symptoms, atrial fibrillation and heart failure in the death group was significantly higher than those in the survival group (χ 2 = 19.24, 16.44, 23.90, P < 0.001). Conclusion:From 2014 to 2024, the incidence of SFTS in Tiantai County fluctuates with obvious seasonal and regional migration characteristics.

Objective:To investigate the efficacy of warm needle acupuncture combined with bone manipulation and Tuina treatment in the treatment of lumbar disc herniation (LDH) and its effects on patients' lumbar function and quality of life. Methods:Fifty patients with LDH admitted to Wenzhou Traditional Chinese Medicine Hospital from December 2022 to December 2023 were included in this study. The patients were randomly divided into an observation group ( n = 25) and a control group ( n = 25) using the random number table method. Patients in the control group received bone manipulation and Tuina treatment, while those in the observation group received warm needle acupuncture combined with bone manipulation and Tuina treatment. Both groups underwent a treatment course of 4 weeks. The therapeutic effects were compared between the two groups. Additionally, the Oswestry Disability Index score, Visual Analog Scale score, Japanese Orthopaedic Association score, and the General Quality of Life Inventory (GQOLI-74) score were compared between the two groups before and after treatment. Results:The total effective rate of treatment in the observation group was significantly higher than that in the control group [96.00% (24/25) vs. 68.00% (17/25), χ2 = 4.88, P < 0.05]. After treatment, the Oswestry Disability Index score and Visual Analog Scale score in the observation group were (9.82 ± 1.76) and (1.72 ± 0.46), respectively, which were significantly lower than those in the control group [(13.97 ± 2.54), (2.89 ± 0.71), t = 6.71, 6.91, both P < 0.001]. In the observation group, the scores for limitations in daily activities, clinical symptoms, subjective symptoms, and the total score were (12.32 ± 2.17), (4.89 ± 0.72), (7.32 ± 1.18), and (24.53 ± 2.94), respectively. These scores were all significantly higher than those in the control group [(9.98 ± 1.64), (3.67 ± 0.58), (5.98 ± 0.76), (19.63 ± 2.87), t = 4.30, 6.60, 4.77, 5.96, all P < 0.001]. Additionally, the scores for social function, psychological function, and physical function in the observation group were (76.82 ± 6.08), (73.42 ± 6.92), and (78.28 ± 6.98), respectively. These scores were significantly higher than those in the control group [(63.32 ± 7.13), (60.09 ± 5.85), (65.21 ± 5.59), t = 7.20, 7.35, 7.31, all P < 0.001]. Conclusions:Warm needle acupuncture combined with bone manipulation and Tuina treatment is highly effective on LDH. The approach can improve patients' lumbar function and quality of life.

With the advancement of science and technology and the increasing care needs of critically ill patients, critical care nursing robots have developed rapidly. This paper provides an overview of the current applications of nursing robots in intensive care settings, including assessment and monitoring, routine care, rehabilitative care, emotional assistance, remote care, and multifunctional integration. Furthermore, the challenges associated with the implementation of critical care nursing robots and future development directions are discussed, aiming to provide a reference for the optimization and practical application of such technologies.

Objective:To evaluate the diagnostic performance of resting echocardiography in detecting severe coronary artery stenosis.Methods:A total of 136 patients with suspected coronary artery disease（CAD）who presented to Sichuan Provincial People's Hospital between January 2021 and December 2024 were prospectively enrolled. All patients underwent both coronary computed tomography angiography（CCTA）and transthoracic echocardiography within one week. Based on CCTA results，the patients were divided into non-severe stenosis group（ n=78）and severe stenosis group（ n=58）. Echocardiographic parameters including left atrial maximum volume（LAVmax），left ventricular global longitudinal strain（GLS），left ventricular longitudinal strain of endo-myocardium，mid-myocardium，epi-myocardium（LSendo，LSmid，LSepi），early diastolic mitral inflow velocity（E），early diastolic mitral annular velocity of the lateral and septal walls（e'），and E/e' were measured. Predictive factors for severe coronary stenosis were identified using LASSO regression，and a nomogram model was developed via multivariate Logistic regression. Model performance was evaluated using ROC curves，calibration curves，and decision curve analysis. Results:Multivariate Logistic regression analysis revealed LSendo，LAVmax，and E/e' as independent predictors of severe coronary artery stenosis. The nomogram constructed based on these predictors achieved an area under the curve of 0.798（95% CI=0.723-0.873），with sensitivity and specificity of 0.756 and 0.759，respectively. Conclusions:The resting echocardiography-based nomogram model demonstrates good diagnostic efficacy for severe coronary artery stenosis. It may serve as a noninvasive tool to assist in risk stratification and clinical decision-making in patients with suspected CAD.

Objective:To investigate the epidemic characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Tiantai County Zhejiang Province, and provide a scientific basis for prevention and control of SFTS.Methods:The case data of SFTS in Tiantai County from 2014 to 2024 were collected through the Chinese Disease Control and Prevention Information System, and descriptive epidemic method was employed to analyze its epidemic and clinical characteristics.Results:From 2014 to 2024, a total of 114 SFTS cases were reported in Tiantai County, with an average annual incidence rate of 2.21/100 000. The peak incidence occurred in 2021 (3.40/100 000, 16 cases). Nine cases died, with a mortality rate of 7.89% (9/114). The male-to-female ratio was 1.00∶0.97 (58∶56). The high-risk population was middle-aged and elderly people aged over 50 years old, accounting for 91.23% (104/114). The occupation was mainly farmers, accounting for 92.98% (106/114). The incidence of SFTS had obvious seasonality, with a peak from April to September, accounting for 83.33% (95/114). The average onset date was calculated to be June 25th, and the peak period was from April 19th to August 31st. The distribution of cases was mainly in Tantou Town (34 cases), Shiliang Town (23 cases), Yongxi Township (17 cases), and Pingqiao Town (12 cases), accounting for 75.44% (86/114). From 2014 to 2024, the affected areas had gradually expanded from 1 township/subdistrict to 13 townships/subdistricts, showed a phenomenon of migration from east to west. Among the 114 patients with SFTS, the initial symptom was fever. The proportion of neuropsychiatric symptoms, atrial fibrillation and heart failure in the death group was significantly higher than those in the survival group (χ 2 = 19.24, 16.44, 23.90, P < 0.001). Conclusion:From 2014 to 2024, the incidence of SFTS in Tiantai County fluctuates with obvious seasonal and regional migration characteristics.

Objective:To investigate the efficacy of warm needle acupuncture combined with bone manipulation and Tuina treatment in the treatment of lumbar disc herniation (LDH) and its effects on patients' lumbar function and quality of life. Methods:Fifty patients with LDH admitted to Wenzhou Traditional Chinese Medicine Hospital from December 2022 to December 2023 were included in this study. The patients were randomly divided into an observation group ( n = 25) and a control group ( n = 25) using the random number table method. Patients in the control group received bone manipulation and Tuina treatment, while those in the observation group received warm needle acupuncture combined with bone manipulation and Tuina treatment. Both groups underwent a treatment course of 4 weeks. The therapeutic effects were compared between the two groups. Additionally, the Oswestry Disability Index score, Visual Analog Scale score, Japanese Orthopaedic Association score, and the General Quality of Life Inventory (GQOLI-74) score were compared between the two groups before and after treatment. Results:The total effective rate of treatment in the observation group was significantly higher than that in the control group [96.00% (24/25) vs. 68.00% (17/25), χ2 = 4.88, P < 0.05]. After treatment, the Oswestry Disability Index score and Visual Analog Scale score in the observation group were (9.82 ± 1.76) and (1.72 ± 0.46), respectively, which were significantly lower than those in the control group [(13.97 ± 2.54), (2.89 ± 0.71), t = 6.71, 6.91, both P < 0.001]. In the observation group, the scores for limitations in daily activities, clinical symptoms, subjective symptoms, and the total score were (12.32 ± 2.17), (4.89 ± 0.72), (7.32 ± 1.18), and (24.53 ± 2.94), respectively. These scores were all significantly higher than those in the control group [(9.98 ± 1.64), (3.67 ± 0.58), (5.98 ± 0.76), (19.63 ± 2.87), t = 4.30, 6.60, 4.77, 5.96, all P < 0.001]. Additionally, the scores for social function, psychological function, and physical function in the observation group were (76.82 ± 6.08), (73.42 ± 6.92), and (78.28 ± 6.98), respectively. These scores were significantly higher than those in the control group [(63.32 ± 7.13), (60.09 ± 5.85), (65.21 ± 5.59), t = 7.20, 7.35, 7.31, all P < 0.001]. Conclusions:Warm needle acupuncture combined with bone manipulation and Tuina treatment is highly effective on LDH. The approach can improve patients' lumbar function and quality of life.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

With the advancement of science and technology and the increasing care needs of critically ill patients, critical care nursing robots have developed rapidly. This paper provides an overview of the current applications of nursing robots in intensive care settings, including assessment and monitoring, routine care, rehabilitative care, emotional assistance, remote care, and multifunctional integration. Furthermore, the challenges associated with the implementation of critical care nursing robots and future development directions are discussed, aiming to provide a reference for the optimization and practical application of such technologies.