Objective To construct and validate a risk predictive model for fatigue in soldiers during long voyage based on sleep,mood and constitution.Methods One thousand soldiers during long voyage were selected as research objects by random cluster sampling.The fatigue scale-14(FS-14),Pittsburgh sleep quality index(PSQI),self-rating anxiety scale(SAS),self-rating depression scale(SDS),and TCM constitution scale were used to assess the occurrence of fatigue and its influence factors.Logistic stepwise regression analysis was used to screen variables,and the prediction nomogram model was constructed based on the risk factors of fatigue.The area under the receiver operator characteristic curve(AUC),calibration curve,Hosmer-Lemeshow test and decision curve were used for internal validation and predictive efficacy assessment.Results A total of 935 effective scales were collected,with an effective rate of 93.5%.Excluding 306 soldiers who were already fatigued before voyage,the fatigue incidence rate of 629 soldiers after 15 days and 30 days of voyage were 26.39%and 42.13%,respectively.The total score of FS-14 and the scores of physical fatigue and mental fatigue were significantly proportional to the voyage time(P<0.01).Eight variables including Qi-deficiency,Yang-deficiency,Yin-deficiency,Qi-stagnation,Special-constitution,anxiety,depression,and sleep disorder might be the independent risk factors for the occurrence of fatigue 30 days after voyage.A nomogram model was established according to the selected variables,and the AUC of the model was 0.828(95%CI:0.797-0.858).Calibration curve and Hosmer-Lemeshow test showed that the goodness of fit of the model was good(χ2=15.384,P=0.052).Decision curve showed that the model had a positive net benefit when the threshold probability was 10%-95%.Conclusion The predictive model for fatigue in soldiers during long voyage has good predictive accuracy and efficiency.It is an effective assessment tool for screening high-risk cases of fatigue and implementing preventive interventions in soldiers during long voyage.

Chronic kidney disease(CKD)is a major global health threat owing to its progressive nature and limited means of early diagnosis,with a significant majority of patients diagnosed in the mid-to-late stages of the disease and high mortality rates.With recent advancements in technology,the importance of disease prediction models in the management of CKD has increased.Disease incidence risk prediction models can identify high-risk groups at an early stage and provide support for timely intervention and management.These disease prognosis models can accurately assess the risk of future adverse events and optimize management strategies for patients.The aim of this review is to discuss the progress of disease prediction models in assessing the occurrence and prognosis of CKD and explore their potential for improving the early diagnosis of the disease,optimizing treatment,and improving patient prognosis.These advancements would assist in effectively preventing and treating CKD as well as improving treatment efficacy and quality of life of patients.

Chronic kidney disease(CKD)is a major global health threat owing to its progressive nature and limited means of early diagnosis,with a significant majority of patients diagnosed in the mid-to-late stages of the disease and high mortality rates.With recent advancements in technology,the importance of disease prediction models in the management of CKD has increased.Disease incidence risk prediction models can identify high-risk groups at an early stage and provide support for timely intervention and management.These disease prognosis models can accurately assess the risk of future adverse events and optimize management strategies for patients.The aim of this review is to discuss the progress of disease prediction models in assessing the occurrence and prognosis of CKD and explore their potential for improving the early diagnosis of the disease,optimizing treatment,and improving patient prognosis.These advancements would assist in effectively preventing and treating CKD as well as improving treatment efficacy and quality of life of patients.

Objective To evalute the drug resistance characteristics of tuberculosis(TB)patients of all ages in Guangdong Province during 2014-2020,and provide prevention and treatment strategies of tuberculosis.Method We used 39,048 clinical isolates of Mycobacterium tuberculosis(MTB)belonging to patients with confirmed TB from 2014 to 2020,from 32 TB drug-resistant surveillance sites in Guangdong Province,and we retrospectively analyzed the laboratories data of patients with drug-resistant TB,and grouped patients by age and region,to explore the trend of drug-resistance of MTB clinical isolates,the trend and incidence differences of multi-resistant TB(including monodrug-resistant TB(MR-TB),polydrug-resistant TB(PDR-TB),multidrug-resistant TB(MDR-TB)and exten-sively drug-resistant TB(XDR-TB)),and resistance characteristics of MTB clinical isolates to drugs in focus(rifam-picin and ofloxacin).Result The differences in the resistance rates of MTB clinical isolates to nine antituberculosis drugs among patients at 32 TB drug resistance surveillance sites in Guangdong Province from 2014 to 2020 were not statistically significant(P>0.05).The rates of MR-TB,PDR-TB,MDR-TB,XDR-TB,and total resistance isolates of MTB clinical isolates were 14.46%,5.16%,5.16%,4.58%,and 1.29%,respectively.he pediatric group had a higher MR rate(15.4%)than the adult and geriatric groups,while the adult and geriatric groups had higher MDR rates(5.0%and 5.0%,respectively).The geriatric group also had a higher XDR rate(2.1%),with statistically significant differences(P<0.001).The rates of MR-TB(14.8%),PDR-TB(5.3%),MDR-TB(4.7%),XDR-TB(1.4%),ofloxacin resistance(11.33%)and rifampicin resistance(6.92%)of MTB clinical isolates were higher in patients from the Pearl River Delta than in other regions of Guangdong Province,with statistically significant differ-ences(P<0.001).Conclusion According to the data from the surveillance sites,the epidemiological trend of drug-resistant TB in Guangdong Province is leveling off during the period 2014-2020.However,the incidence of drug-resistant TB is higher in specific populations(e.g.children and the elderly),and the incidence of drug-resistant TB and the rate of drug resistance to drugs in focus are higher in the Pearl River Delta than in other regions of Guang-dong Province,necessitating further investigation and the development of novel prevention and control strategies.

Background::Cardiovascular disease (CVD) has emerged as the leading cause of death from prostate cancer (PCa) in recent decades, bringing a great disease burden worldwide. Men with preexisting CVD have an increased risk for major adverse cardiovascular events when treated with androgen deprivation therapy (ADT). The present study aimed to explore the prevalence and risk evaluation of CVD among people with newly diagnosed PCa in China.Methods::Clinical data of newly diagnosed PCa patients were retrospectively collected from 34 centers in China from 2010 to 2022 through convenience sampling. CVD was defined as myocardial infarction, arrhythmia, heart failure, stroke, ischemic heart disease, and others. CVD risk was estimated by calculating Framingham risk scores (FRS). Patients were accordingly divided into low-, medium-, and high-risk groups. χ2 or Fisher’s exact test was used for comparison of categorical variables. Results::A total of 4253 patients were enrolled in the present study. A total of 27.0% (1147/4253) of patients had comorbid PCa and CVD, and 7.2% (307/4253) had two or more CVDs. The enrolled population was distributed in six regions of China, and approximately 71.0% (3019/4253) of patients lived in urban areas. With imaging and pathological evaluation, most PCa patients were diagnosed at an advanced stage, with 20.5% (871/4253) locally progressing and 20.5% (871/4253) showing metastasis. Most of them initiated prostatectomy (46.6%, 1983/4253) or regimens involving ADT therapy (45.7%, 1944/4253) for prostate cancer. In the present PCa cohort, 43.1% (1832/4253) of patients had hypertension, and half of them had poorly controlled blood pressure. With FRS stratification, as expected, a higher risk of CVD was related to aging and metabolic disturbance. However, we also found that patients with treatment involving ADT presented an originally higher risk of CVD than those without ADT. This was in accordance with clinical practice, i.e., aged patients or patients at advanced oncological stages were inclined to accept systematic integrative therapy instead of surgery. Among patients who underwent medical castration, only 4.0% (45/1118) received gonadotropin releasing hormone antagonists, in stark contrast to the grim situation of CVD prevalence and risk.Conclusions::PCa patients in China are diagnosed at an advanced stage. A heavy CVD burden was present at the initiation of treatment. Patients who accepted ADT-related therapy showed an original higher risk of CVD, but the awareness of cardiovascular protection was far from sufficient.

Objective To analyze the current situation of human resources in county-level specialized disease prevention and control institutions in Guangdong Province in 2022 and propose countermeasures.Methods Analyze the human resources situation of specialized disease prevention and control personnel in counties in Guangdong Province based on their basic informa-tion such as staffing,age,professional title,and income level.Results The education level of county-level specialized disease prevention and control personnel in Guangdong Province is mainly undergraduate(42.60％),the technical title is mainly inter-mediate or below(84.08％),and the age is mainly over 45 years old(39.58％);Comparative analysis was conducted on the education and professional titles of specialized disease prevention and control personnel in counties in the Pearl River Delta,east-ern Guangdong,western Guangdong,and northern Guangdong regions,and the differences were statistically significant(x2=733.751,P＜0.001;x2=142.048,P＜0.001).Conclusion The human resources for specialized disease prevention and control in counties in Guangdong Province are facing problems such as talent shortage,aging of personnel,low academic qualifi-cations and titles,and insufficient financial investment.It is recommended to formulate a scientific and reasonable talent develop-ment plan,attach importance to and strengthen the construction of specialized disease prevention and control talent teams.

Colorectal cancer is a common malignant tumor of the digestive system. In recent years, with the changes in people's lifestyle, dietary structure, and the intensification of environmental pollution, the incidence of colorectal cancer in adolescents and young adults (AYAs) has significantly increased. AYAs refer to individuals aged 15 to 39, and compared with elderly cancer patients, AYAs with cancer have higher long-term and advanced-stage risks as well as worse prognosis, and colorectal cancer also become an important cause of death in AYAs. This study took colorectal cancer as a study point to analyze the risk factors and clinical characteristics of AYAs with colorectal cancer, explored the diagnosis and treatment methods for AYAs with colorectal cancer, and provided a basis for formulating prevention and control measures in clinical practice.

Objective:To analyze the research progress and hotspots in the field of healthcare data security in China, so as to provide a theoretical basis for the safe application of healthcare big data.Methods:A systematic search of the literature in the field of healthcare data security was conducted by using bibliometric methods. The search was performed on the China Knowledge Network, the WIPO Chinese Science and Technology Journal Full-text Database, and the Wanfang Data Knowledge Service Platform from the establishment of the databases to Decembe 2023. Descriptive analysis and high-frequency keywords clustering analysis were conducted.Results:A total of 714 eligible articles were included. Research in the field of healthcare data security emerged since 2002, with the scope of the field expanding since then. There was a surge in publications after 2018. Through the clustering analysis of high-frequency keywords, it was found that current research on healthcare data security mainly focused on six major research hotspots: cross-domain data security sharing, data security and privacy protection, information security technology research, patients′ personal information management and privacy protection, mobile healthcare, and remote healthcare.Conclusions:The research focus in the field of healthcare data security is currently concentrated on six major aspects, including cross-domain data security sharing. It is recommended to strengthen interdisciplinary cooperation, optimize technical frameworks, further innovate data security governance methods, strengthen data security applications, and vigorously cultivate composite talents, so as to promote the research and development of China′s healthcare data security field.

Objective To analyze the current situation of human resources in county-level specialized disease prevention and control institutions in Guangdong Province in 2022 and propose countermeasures.Methods Analyze the human resources situation of specialized disease prevention and control personnel in counties in Guangdong Province based on their basic informa-tion such as staffing,age,professional title,and income level.Results The education level of county-level specialized disease prevention and control personnel in Guangdong Province is mainly undergraduate(42.60％),the technical title is mainly inter-mediate or below(84.08％),and the age is mainly over 45 years old(39.58％);Comparative analysis was conducted on the education and professional titles of specialized disease prevention and control personnel in counties in the Pearl River Delta,east-ern Guangdong,western Guangdong,and northern Guangdong regions,and the differences were statistically significant(x2=733.751,P＜0.001;x2=142.048,P＜0.001).Conclusion The human resources for specialized disease prevention and control in counties in Guangdong Province are facing problems such as talent shortage,aging of personnel,low academic qualifi-cations and titles,and insufficient financial investment.It is recommended to formulate a scientific and reasonable talent develop-ment plan,attach importance to and strengthen the construction of specialized disease prevention and control talent teams.

Objective:To analyze the research progress and hotspots in the field of healthcare data security in China, so as to provide a theoretical basis for the safe application of healthcare big data.Methods:A systematic search of the literature in the field of healthcare data security was conducted by using bibliometric methods. The search was performed on the China Knowledge Network, the WIPO Chinese Science and Technology Journal Full-text Database, and the Wanfang Data Knowledge Service Platform from the establishment of the databases to Decembe 2023. Descriptive analysis and high-frequency keywords clustering analysis were conducted.Results:A total of 714 eligible articles were included. Research in the field of healthcare data security emerged since 2002, with the scope of the field expanding since then. There was a surge in publications after 2018. Through the clustering analysis of high-frequency keywords, it was found that current research on healthcare data security mainly focused on six major research hotspots: cross-domain data security sharing, data security and privacy protection, information security technology research, patients′ personal information management and privacy protection, mobile healthcare, and remote healthcare.Conclusions:The research focus in the field of healthcare data security is currently concentrated on six major aspects, including cross-domain data security sharing. It is recommended to strengthen interdisciplinary cooperation, optimize technical frameworks, further innovate data security governance methods, strengthen data security applications, and vigorously cultivate composite talents, so as to promote the research and development of China′s healthcare data security field.