ObjectiveTo systematically evaluate the distribution of traditional Chinese medicine（TCM） syndromes of primary osteoporosis（POP） in China by using evidence-based medicine methods， and to understand the distribution law of the syndromes. MethodChina National Knowledge Infrastructure（CNKI）， VIP Chinese Science and Technology Journal Database（VIP）， WanFang Data Knowledge Service Platform（WanFang） and China Biology Medicine（CBM） were searched to obtain representative literature， and each database was searched from the 1994 World Health Organization defined diagnostic criteria for osteoporosis until May 1， 2023. Two researchers independently screened literature according to the criteria， extracted data， and cross-checked them. Meta analysis was conducted using R4.1.3， and subgroup analysis was performed. ResultA total of 56 Chinese papers were included， involving 14 415 patients. After standardized classification of syndromes， 11 articles were excluded， and Meta analysis results of the ultimately included 45 Chinese articles showed that the distribution frequencies of liver-kidney Yin deficiency syndrome， spleen-kidney Yang deficiency syndrome and kidney deficiency and blood stasis syndrome in 12 723 patients were 27%［95% confidence interval（CI） 0.24-0.31］， 32%（95% CI 0.29-0.36）， 36%（95% CI 0.30-0.42）. Subgroup analysis showed that there was a statistically significant difference in the distribution of the three TCM syndromes in the north and south（P<0.05）. In addition， the incidence of TCM syndrome fractures in different types of POP was 15%（95% CI 0.09-0.24） for liver-kidney Yin deficiency syndrome， 20%（95% CI 0.12-0.30） for spleen-kidney Yang deficiency syndrome， and 31%（95% CI 0.25-0.39） for kidney deficiency and blood stasis syndrome. ConclusionThe distribution of syndromes in POP patients is mainly kidney deficiency， accompanied by liver and spleen dysfunction. Liver-kidney Yin deficiency syndrome， spleen-kidney Yang deficiency syndrome and kidney deficiency and blood stasis syndrome are all the main syndromes of POP and osteoporotic fractures， and kidney deficiency and blood stasis syndrome is most closely related to the development of osteoporotic fractures. The reference standards for syndrome determination among the included studies are inconsistent， and in the future， it is necessary to focus on their determination standards to obtain consensus research results， at the same time， conduct large-scale syndrome research to obtain representative research results， providing a basis for clinical practice and research.

Objective: To investigate epidemiological characteristics of notifiable infectious diseases in Zhejiang Province in 2023, so as to provide the evidence for strengthening prevention and control of infectious diseases. Methods: Data pertaining to notifiable infectious diseases reported in Zhejiang Province in 2023 were retrieved from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. The incidence and mortality were analyzed according to the classification of notifiable infectious diseases and transmission routes, and epidemiological characteristics of infectious diseases were descriptively analyzed. Results: Thirty types of notifiable infectious diseases with 2 955 699 cases and 427 deaths were reported in Zhejiang Province in 2023, with a reported incidence rate of 4 493.93/105 and a reported mortality rate of 0.649 2/105. A total of 679 notifiable infectious disease emergencies were reported, with 26 514 cases and 1 case death (rabies). The emergencies mainly occurred in schools and preschool institutions, with 621 cases accounting for 91.46%. There were 1 case of cholera reported in class A notifiable infectious diseases and no death, 22 types of class B notifiable infectious diseases, with a reported incidence rate of 552.46/105 and a reported mortality rate of 0.644 7/105, and 8 types of class C notifiable infectious diseases, with a reported incidence rate of 3 941.48/105 and a reported mortality rate of 0.004 6/105. The incidence rates of respiratory, intestinal, blood-borne and sexually transmitted, natural and insect-borne infectious diseases were 4 028.67/105, 381.59/105, 81.15/105 and 1.35/105, respectively, according to transmission routes. Influenza (3 561.78/105) and COVID-19 (423.77/105) reported the highest incidence, and AIDS (0.477 4/105) and tuberculosis (0.130 8/105) reported the highest mortality. Conclusion The incidence rates of respiratory and intestinal infectious diseases were high in Zhejiang Province in 2023, and schools and preschool institutions were the main places of diseases occurred.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: To investigate the characteristics of public health emergencies in Zhejiang Province in 2023, so as to provide the reference for public health risk management. Methods: Data of public health emergencies and related information in Zhejiang Province from January 1 to December 31, 2023 was collected through Emergency Public Reporting System of Chinese Disease Prevention and Control Information System. Attack rates, disease types, distribution of time and places, and responses were descriptively analyzed. Results: A total of 718 public health emergencies were reported in 2023 in Zhejiang Province, and all were infectious disease events. There were 27 128 reported cases and 3 deaths, with an attack rate of 3.22%. The top five infectious diseases with the highest number of reported events were influenza, norovirus infection, monkeypox, varicella and hand, foot and mouth disease, accounting for 95.54% of total reported events. There were 355 public health emergencies with less than 30 cases each, accounting for 49.44%. The reported emergencies peaked from February to March (186 events, 25.91%) and from November to December (327 events, 45.54%), and mainly occurred in schools and preschool institutions (651 events, 90.67%). The median responding time, reporting time and duration of emergencies were 6.50 (interquartile range, 10.84) h, 0.53 (interquartile range, 0.63) h and 7.24 (interquartile range, 11.71) d, respectively. Conclusion Public health emergencies in Zhejiang Province in 2023 were mainly caused by influenza and norovirus infection, with February, March, November and December being the peak reporting periods, and schools and preschool institutions being the main places where these events occurred.

Objective To evaluate the efficacy and safety of ozone injection therapy for lumbar disc hemiation(LDH).Methods A computerized retrieval of academic papers concerning the randomized controlled trial(RCT)on ozone injection therapy for LDH from the databases of Embase,PubMed,Cochrane library and Web of science was conducted.The retrieval time period was from the establishment of the database to February 2023.The literature retrieval,screening,and data extraction were independently performed by two researchers.Cochrane bias risk assessment tool was used to assess the quality of the included literature.Stata 17.0 software was used to make meta-analysis.Results A total of 9 RCTs including 702 patients were finally included in this study.The results of meta-analysis showed that compared with radiofrequency thermocoagulation,percutaneous rotation and other treatments for LDH,the combination use of ozone injection could signifiicantly improve the effective rate based on Macnab efficacy evaluation criteria(RR=1.097,95％CI:1.038～1.159,P=0.001)and the excellent rate(RR=1.185～95％CI:1.074～1.309,P=0.001),and decrease the visual analog scale(VAS)pain score(WMD=-0.810～95％CI:-1.205～-0.414,P=0.000),and the differences in the above indexes were statistically significant.Conclusion Compared with the simple use of radiofrequency thermocoagulation,percutaneous rotation,and other treatment for LDH,the combination use of ozone injection therapy can significantly improve the effective rate and excellent rate based on Macnab efficacy evaluation criteria,decrease VAS score,with a high clinical safety.Limited by the quantity and quality of the original studies included in this study,the above conclusions need to be further verified by multi-center,large-sample and high-quality studies.

Objective:To evaluate the prognostic values of parameters from hypothermic machine perfusion (HMP) after static cold storage (SCS) on short-term outcomes of kidney transplantation.Method:From February 2023 to October 2023, the authors retrospectively reviewed the clinical and HMP data of recipients undergoing adult deceased donor kidney transplantation at Xuanwu Hospital, Capital Medical University. HMP resistance and renal arterial anatomical variants were utilized for subgroup analysis. The primary endpoints were delayed graft function (DGF) and whether or not creatine level normalized. The secondary endpoints were the lowest creatine level within 1 month post-kidney transplantation, reduction extent of creatinine level, duration for creatine level to decline to the lowest and duration for creatinine normalization. Single and multiple variable analyses were utilized for examining the correlation between HMP parameters and short-term postoperative outcomes.Result:A total of 157 recipients were included for analysis. Mean serum creatinine level was (870.0±283.9) μmol/L and mean trough creatinine level within 1 month postoperatively (118.5±63.5) μmol/L. Sixteen recipients (10.2%) had delayed graft function (DGF) and creatinine failed to normalize in 10 receipients (6.4%). Average time for creatinine to decline to the lowest level within 1 month was (14.5±7.6) d (3~30 d) and average time for creatinine to normalize (6.4±5.8) d (1~30 d). Multiple variable regression analysis revealed that terminal resistant index was independently correlated with multiple events, including DGF ( P<0.01), whether or not creatinine level normalized within 1 month ( P=0.001), reduction extent of creatinine level ( P<0.01) and duration for creatinine normalization ( P=0.024) . Conclusion:Parameters of HMP after SCS are capable of predicting the short-term outcomes of kidney transplantation. Terminal resistant index is an independent risk factor for several prognostic events.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.