Parkinson′s disease (PD) is the second most common neurodegenerative disease. It is particularly important to find biomarkers with high sensitivity and specificity to capture the early features and evolution of the disease. As motor symptoms are the core symptomatic manifestation of PD and subtle changes in motor function occur early in the disease, the objectivity and broad applicability of digital devices make them ideal for screening and monitoring changes in motor function during the development of PD. Digital biomarkers related to motor symptoms in the diagnosis and monitoring of PD are reviewed in this article, with a view to providing some references for the clinical diagnosis and treatment of the disease.

Objectives:This study aims to investigate the association between Chinese visceral adiposity index(CVAI)and the risk of cardiovascular disease(CVD),and explore the sex differences.Methods:Participants were screened from the three sub-cohorts of Prediction for Atherosclerotic Cardiovascular Disease Risk in China(China-PAR)project,baseline information on body measure and biochemistry examinations were collected from 1998,2000-2001,and 2007-2008,separately.Participants were followed up to 2015.Cohort-stratified Cox proportional risk models were used to analyze the relationship between CVAI,both in continuous(per standard deviation increase)and categorical(quartiles,with Q1 as reference)scales,and CVD risk in the total population,men and women.The multiplicative interaction between sex and CVAI on CVD risk were calculated.Restricted cubic spline regression was employed to investigate the dose-response relationship.Results:A total of 98 464 participants without CVD at baseline were included.During the 723 508 person-years of follow-up,3 605 CVD events were recorded.After multivariate adjustment,the HRs(95％CIs)of CVD were 1.25(1.20-1.29),1.09(1.04-1.15),and 1.54(1.46-1.64)for per standard deviation increment in CVAI in the general population,men and women,respectively.Besides,compared with Q1 group,the HRs(95％CIs)in Q4 group were 1.87(1.67-2.10),1.33(1.14-1.54)and 3.84(3.09-4.78),correspondingly,and the effect of CVAI on the risk of CVD was significantly higher in women than in men(Pinteraction<0.05).Additionally,there was a positive dose-response relationship between CVAI and the risk of CVD.Conclusions:Elevated CVAI is an independent risk factor for CVD,especially in women.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objectives:This study aims to investigate the association between Chinese visceral adiposity index(CVAI)and the risk of cardiovascular disease(CVD),and explore the sex differences.Methods:Participants were screened from the three sub-cohorts of Prediction for Atherosclerotic Cardiovascular Disease Risk in China(China-PAR)project,baseline information on body measure and biochemistry examinations were collected from 1998,2000-2001,and 2007-2008,separately.Participants were followed up to 2015.Cohort-stratified Cox proportional risk models were used to analyze the relationship between CVAI,both in continuous(per standard deviation increase)and categorical(quartiles,with Q1 as reference)scales,and CVD risk in the total population,men and women.The multiplicative interaction between sex and CVAI on CVD risk were calculated.Restricted cubic spline regression was employed to investigate the dose-response relationship.Results:A total of 98 464 participants without CVD at baseline were included.During the 723 508 person-years of follow-up,3 605 CVD events were recorded.After multivariate adjustment,the HRs(95％CIs)of CVD were 1.25(1.20-1.29),1.09(1.04-1.15),and 1.54(1.46-1.64)for per standard deviation increment in CVAI in the general population,men and women,respectively.Besides,compared with Q1 group,the HRs(95％CIs)in Q4 group were 1.87(1.67-2.10),1.33(1.14-1.54)and 3.84(3.09-4.78),correspondingly,and the effect of CVAI on the risk of CVD was significantly higher in women than in men(Pinteraction<0.05).Additionally,there was a positive dose-response relationship between CVAI and the risk of CVD.Conclusions:Elevated CVAI is an independent risk factor for CVD,especially in women.

Parkinson′s disease (PD) is the second most common neurodegenerative disease. It is particularly important to find biomarkers with high sensitivity and specificity to capture the early features and evolution of the disease. As motor symptoms are the core symptomatic manifestation of PD and subtle changes in motor function occur early in the disease, the objectivity and broad applicability of digital devices make them ideal for screening and monitoring changes in motor function during the development of PD. Digital biomarkers related to motor symptoms in the diagnosis and monitoring of PD are reviewed in this article, with a view to providing some references for the clinical diagnosis and treatment of the disease.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.

Clinically,pancreatic cancer is a highly aggressive tumor,and neurotropic growth is an important biological feature of pancreatic cancer.Nerve invasion brings great pain burden to patients,and it seriously affects the quality of life and the will to survive of patients.The"three-step analgesia principle"for the management of cancer pain proposed by World Health Organization(WHO)is a traditional therapeutic regimen for cancer pain.However,because of its obvious toxic side effects,poor efficacy,easy addiction,easy drug resistance,non-standard medication of clinical physicians,etc.,the"three-step analgesia principle"is unable to meet the needs of the patient's condition..In recent years,with the development of interventional technology and the development of extensive clinical trials,the interventional means,which is regarded as the"fourth step"of cancer pain management,has achieved great clinical effect,it includes various therapeutic methods and imaging-guided techniques such as neural destruction(denervation),125I particle implantation,patient-controlled analgesic pump technology,implantation of intrathecal drug infusion system,etc.,and clinical practice has proved that these techniques have significant clinical efficacy and they can provide a convenient,safe and effective treatment method for HCC patients.

Background::Despite the adverse effects of ambient fine particulate matter (PM 2.5) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM 2.5 on the relationship between PA and type 2 diabetes remains unclear. Methods::In this prospective study with 71,689 participants, PA was assessed by a questionnaire and was categorized into quartiles for volume and three groups for intensity. Long-term PM 2.5 exposure was calculated using 1-km resolution satellite-based PM 2.5 estimates. PM 2.5 exposure and PA's effect on type 2 diabetes were assessed by cohort-stratified Cox proportional hazards models, individually and in combination. Results::In 488,166 person-years of follow-up, 5487 incident type 2 diabetes cases were observed. The association between PA and type 2 diabetes was modified by PM 2.5. Compared with the lowest quartile of PA volume, the highest quartile was associated with reduced type 2 diabetes risk in low PM 2.5 stratification (≤65.02 μg/m 3) other than in high PM 2.5 stratification (>65.02 μg/m 3), with the hazard ratio (HR) of 0.75 (95% confidence interval [CI]: 0.66-0.85) and 1.10 (95% CI: 0.99-1.22), respectively. Similar results were observed for PA intensity. High PM 2.5 exposure combined with the highest PA levels increased the risk of type 2 diabetes the most (HR= 1.79, 95% CI: 1.59-2.01 for PA volume; HR = 1.82, 95% CI: 1.64-2.02 for PA intensity). Conclusion::PA could reduce type 2 diabetes risk in low-pollution areas, but high PM 2.5 exposure may weaken or even reverse the protective effects of PA. Safety and health benefits of PA should be thoroughly assessed for long-term polluted residents.