Objective:To explore the role of active screening in the diagnosis and treatment of early lung cancer, and give health management recommendations.Methods:A retrospective study was conducted to collect lung cancer patients who had complete population sociology, clinical information, pathology and imaging characteristics in the Thoracic Surgery in Xiangya Hospital of Central South University from 2016 to 2019. According to different diagnostic modes, they were divided into an active screening group (1082 cases) and a passive case finding group (974 cases), to analyze their differences in demographic sociological, clinical information, pathology and imaging characteristics, and to discuss the key points of population management in the active screening group.Results:From 2016 to 2019, the proportion of lung cancer patients in the active screening group increased from 36.1% to 54.2%, and the proportion of patients found to have lung cancer by CT examination in the active screening group increased from 82.2% to 96.8%. Compared with the passive case finding group, the active screening group had a higher proportion of women, non-smokers, patients with precursor glandular lesions and adenocarcinoma, patients in stage 0 and stage I, patients with lesion diameter (d)≤1 cm and 1

OBJECTIVE: To investigate the feasibility of MRI three-dimensional (3D) reconstruction model in quantifying glenoid bone defect by comparing with CT 3D reconstruction model measurement. METHODS: Forty patients with shoulder anterior dislocation who met the selection criteria between December 2021 and December 2022 were admitted as study participants. There were 34 males and 6 females with an average age of 24.8 years (range, 19-32 years). The injury caused by sports injury in 29 cases and collision injury in 6 cases, and 5 cases had no obvious inducement. The time from injury to admission ranged from 4 to 72 months (mean, 28.5 months). CT and MRI were performed on the patients' shoulder joints, and a semi-automatic segmentation of the images was done with 3D slicer software to construct a glenoid model. The length of the glenoid bone defect was measured on the models by 2 physicians. The intra-group correlation coefficient ( ICC) was used to evaluate the consistency between the 2 physicians, and Bland-Altman plots were constructed to evaluate the consistency between the 2 methods. RESULTS: The length of the glenoid bone defects measured on MRI 3D reconstruction model was (3.83±1.36) mm/4.00 (0.58, 6.13) mm for physician 1 and (3.91±1.20) mm/3.86 (1.39, 5.96) mm for physician 2. The length of the glenoid bone defects measured on CT 3D reconstruction model was (3.81±1.38) mm/3.80 (0.60, 6.02) mm for physician 1 and (3.99±1.19) mm/4.00 (1.68, 6.38) mm for physician 2. ICC and Bland-Altman plot analysis showed good consistency. The ICC between the 2 physicians based on MRI and CT 3D reconstruction model measurements were 0.73 [95% CI (0.54, 0.85)] and 0.80 [95% CI (0.65, 0.89)], respectively. The 95% CI of the difference between the two measurements of physicians 1 and 2 were (-0.46, 0.49) and (-0.68, 0.53), respectively. CONCLUSION The measurement of glenoid bone defect based on MRI 3D reconstruction model is consistent with that based on CT 3D reconstruction model. MRI can be used instead of CT to measure glenoid bone defects in clinic, and the soft tissue of shoulder joint can be observed comprehensively while reducing radiation.
Male ; Female ; Humans ; Young Adult ; Adult ; Imaging, Three-Dimensional/methods* ; Tomography, X-Ray Computed/methods* ; Joint Instability ; Shoulder Joint/diagnostic imaging* ; Shoulder Dislocation ; Magnetic Resonance Imaging/methods*

Objective:To investigate the clinical efficacy of high-frequency repetitive transcranial magnetic stimulation combined with electrical stimulation in patients with dysphagia after stroke.Methods:Seventy-two stroke patients with dysphagia who received treatment in The First Hospital of Jiaxing from February 2019 to February 2020 were included in this study. They were randomly assigned to receive either electrical stimulation (control group, n = 36) or high-frequency repetitive transcranial magnetic stimulation combined with electrical stimulation (observation group, n = 36) for 2 weeks. Changes in serum brain-derived neurotrophic factor, neuron-specific enolase, and vascular endothelial growth factor levels after treatment relative to before treatment were observed in each group. Scores of the swallowing function assessment scale, neurological deficit, and quality of life were compared between the control and observation groups. Results:After treatment, serum levels of brain-derived neurotrophic factor and vascular endothelial growth factor in the observation group were (7.98 ± 1.14) μg/L, (168.78 ± 10.28) ng/L, respectively, which were significantly higher than those in the control group [(5.80 ± 1.10) μg/L, (110.34 ± 10.47) ng/L, t = 8.26, 23.90, both P < 0.01]. Serum neuron-specific enolase level was significantly lower in the observation group than in the control group [(7.57 ± 1.17) μg/L vs. (10.66 ± 1.30) μg/L, t = 10.60, P < 0.001). The scores of swallowing function assessment scale and neurological deficits in the observation group were (2.47 ± 1.16) points and (7.03 ± 1.14) points, respectively, which were significantly lower than those in the control group [(5.75 ± 1.10) points, (9.66 ± 1.20) points, t = 12.31, 9.53, both P < 0.001]. Total effective rate [97.22% (35/36) vs. 77.78% (28/36)] and the score of swallowing quality of life questionnaire [(160.40 ± 8.32) points vs. (146.74 ± 8.10) points] were significantly higher in the observation group than in the control group ( χ2 = 4.57, P = 0.03, t = 7.25, P < 0.001). Conclusion:High-frequency repetitive transcranial magnetic stimulation combined with electrical stimulation can greatly improve neurological function and swallowing function of stroke patients with dysphagia. The combined therapy is of certain clinical value and innovation.

Objective:To investigate the relationship between waist circumference and hyperuricemia in occupational population in Changsha city.Methods:Based on a retrospective cohort design, a total of 1 197 employees from 70 organizations who received 4 or more years of continuous physical examinations in Xiangya hospital from January 1, 2014 to December 31, 2018 were included in this study. The physical examination data of the year 2014 were set as baseline data, while the data between January 1, 2015 and December 31, 2018 were used as follow-up data. According to interquartile range of the waist circumference, the subjects was divided into four groups: the first quartile ( Q1),<77 cm for men and <68 cm for women; the second quartile ( Q2), 77 cm ≤ and<82 cm for men, 68 cm ≤ and <73 cm for women; the third quartile ( Q3), 82 cm ≤ and <87 cm for men, 73 cm ≤and <78 cm for women; the fourth quartile ( Q4), ≥87 cm for men, ≥78 cm for women. Among them, Q1 was set as the control group, and Q2, Q3 and Q4 as the exposed groups. Three models were established for the total population, men and women, respectively. The confounding factors were not adjusted in model Ⅰ. The model Ⅱ was adjusted for age, gender and body mass index (the male or female population were not adjusted for sex). Confounders including age, gender, body mass index, hypertension, fasting glucose, blood creatinine, triacylglycerol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol were adjusted for model Ⅲ. Cox regression analysis was used to compare the hazard ratio ( HR), adjusted hazardratio (a HR) and their 95% CIs for the development of hyperuricemia in the subjects with different waist circumference over the 4 years. Results:Total of 1 197 subjects were followed-up for (2.05±1.18) years and 2 448 person-years. A total of 208 cases of hyperuricemia were identified in the total population during the 4 years (45 women/163 men), with a cumulative incidence of 17.4% (6.4% in women/33.3% in men) and an incidence density of 84.9/1 000 person-years (31.8/1 000 person-years in women, 157.6/1 000 person-years in men). And 626, 609, 629, and 584 person-years were followed-up in the 4 groups, respectively; with 15, 30, 59, and 104 cases of hyperuricemia occurred during 4 years, respectively. The cumulative incidence rates of hyperuricemia in the 4 yearswas 5.5%, 9.2%, 20.8% and 32.8%, respectively; and the incidence densities was 24.0/1 000 person-years, 49.3/1 000 person-years, 93.8/1 000 person-years and 178.1/1 000 person-years, respectively. Compared with that in the Q1 group, the risk of hyperuricemia was increased in the Q4 group, with a HR (95% CI) of 2.70 (1.81 to 4.04), P<0.05. After adjusted for confounding factors in the total population, the a HR (95% CI) of hyperuricemia was 2.12 (1.39 to 3.24), P<0.05. This risk remained when stratified by gender and adjusted for confounding factors. Compared with the Q1 group, the a HR (95% CI) of hyperuricemia in the Q4 group was 1.91 (1.18 to 3.09) for the male population and 2.93 (1.14 to 7.56) for the female population, respectively (both P<0.05). Conclusion:Among the occupational population, the risk of hyperuricemia increases with increase of waist circumference.

Objective:To investigate the correlation between hyperuricemia and hypertension in hospital employees.Methods:A cohort was constructed from staff participating health checkups at the Xiangya Hospital of Central South University, baseline health examinations and questionnaires were conducted from February 1, 2011, to January 29, 2012; 502 participants were excluded according to the nadir criteria, and 3 525 participants were followed-up from February 1, 2012, to December 31, 2018, according to the results of annual employee checkups. The participants were divided into the normal uric acid (3 232 cases) and hyperuricemia groups (293 cases) according to the baseline examination results. The presence of hyperuricemia was used as an observation index and occurrence of hypertension within 7 years was used as an outcome indicator. Age, sex, body mass index, creatinine, LDL cholesterol, triacylglycerol, HDL cholesterol, fasting glucose, marriage, education, job position, smoking, alcohol consumption, and exercise status were used as confounding factors to construct five Cox regression models and calculate their HR values, adjusted HR values, and 95% CI to analyze the relationship between hyperuricemia and the occurrence of hypertension in the overall population and female and male populations. Results:The follow-up of the study participants was conducted for a period of (6.19±1.25) years, with a total of 21 831 person-years of follow-up. The 7-year cumulative prevalence of hypertension was 16.5% in the total population, 12.5% in the female population, 30.1% in the male population, 14.1% in the normal uric acid group, and 42.0% in the hyperuricemia group. The prevalence density of hypertension was 26.6, 19.6, 53.8, and 22.4 per 1 000 person-years in the total, female, male, and normouricemic groups, respectively. Without adjusting for any confounding variables, the risk of hypertension was higher in the total population, female population, and male population in the hyperuricemia group than in the normal uric acid group [ HR=3.86, 5.69, 1.60, (95% CI: 3.17-4.72, 4.36-7.43, 1.18-2.16)] (all P<0.05); after gradually adjusting for confounders, this correlation was only manifested in the female population [adjusted HR=1.91 (95% CI: 1.08-3.36)] (all P<0.05), and the difference was not statistically significant in the male population ( P>0.05). Conclusion:Among female hospital employees, hyperuricemia is an independent risk factor for the development of hypertension.

Objective:To investigate the correlation between serum uric acid level and hyperglycemia.Methods:A medical examination cohort of the staff of our hospital was constructed. From February 1 st, 2011, to December 31 st, 2011, 3 937 staff members without hyperglycemia were selected, and baseline data were collected through a questionnaire survey, physical examination, measurement of blood lipid and blood glucose, assessment of kidney function, and other laboratory tests. The subjects were followed up during the annual physical examination for 7 years, from January 1 st, 2012, to December 31 st, 2018. They were divided into four groups according to serum uric acid level: uric acid<360 μmol/L, 360≤uric acid<420 μmol/L, 420≤uric acid<480 μmol/L, and uric acid≥ 480 μmol/L. With the occurrence of hyperglycemia as the outcome indicator; uric acid level as the observation index; uric acid<360 μmol/L as the control group; and gender, age, body mass index, smoking, hypertension, dyslipidemia as confounding factors, Cox regression was performed before and after adjusting confounding factors to analyze the relationship between different uric acid levels and the incidence of hyperglycemia in the entire sample, in the male staff, and in the female staff. Results:The 7-year cumulative incidence of hyperglycemia in the four groups were 15.7%, 34.0%, 38.8%, and 43.8%, respectively ( Z=148.94, P<0.01). In the male staff, the 7-year cumulative incidence rates in the four groups were 23.4%, 29.9%, 34.7%, and 35.8%, respectively ( Z=11.17, P<0.01). In the female staff, the 7-year cumulative incidence rates in the four groups were 14.2%, 42.5%, 52.2%, and 65.0%, respectively ( Z=141.84, P<0.01. After adjusting for gender, age, body mass index, smoking, hypertension, and dyslipidemia, the risk of hyperglycemia in the 360≤uric acid<420 μmol/L, 420≤uric acid<480 μmol/L, and uric acid≥ 480 μmol/L groups were 1.73 (1.39-2.15), 1.86 (1.42-2.45), and 1.95 (1.34-2.85) times higher than that in the control group (all P<0.05). Among female staff, the risk of hyperglycemia in the 360≤uric acid<420 μmol/L, 420≤uric acid<480 μmol/L, and uric acid≥ 480 μmol/L groups were 2.18 (1.62-2.94), 3.41 (2.24-5.20), and 3.02 (1.69-5.40) times, respectively, and were also higher than those in the control group (all P<0.01). Conclusion:With the increase of serum uric acid level, the risk of hyperglycemia in medical staff increases, which is mainly manifested in female staff.

Objective:To investigate the correlation between serum uric acid level and non-alcoholic liver disease (NAFLD).Methods:A medical examination cohort of our hospital′s staff was constructed. From February 1, 2012 to January 29, 2013, a total of 3, 479 staff without NAFLD were selected as research subjects, and baseline data were collected through a questionnaire survey, physical examination, abdominal ultrasound examination, blood lipid, blood glucose, liver and kidney function, and other laboratory tests. From February 1, 2013 to December 31, 2018, the patients were followed up during the annual physical examination for six years. The serum uric acid level was used as the observation index and divided into four groups from A to D according to the quartile. With the occurrence of NAFLD as the outcome indicator; the four groups of uric acid as the observation indicator; and age, body mass index, hyperlipidemia, hyperglycemia, hypertension, creatinine, and alanine aminotrans ferase as confounding factors; four Cox regression analysis models were constructed to explore the relationship between groups of different blood uric acid levels and NAFLD. Stratified by gender, three Cox regression analysis models were constructed to investigate the relationship between blood uric acid level grouping and NAFLD between different genders.Results:The six-year cumulative incidence of NAFLD in groups A, B, C, and D was 1.2%, 3.1%, 4.9%, and 12%, respectively (χ 2=114.710, P<0.05). Among the female workers, the six-year cumulative incidence rates in groups A, B, C, and D were 1.0%, 2.9%, 4.1% and 10.9%, respectively (χ 2=71.241, P<0.05). The incidence risk of NAFLD in groups B, C, and D was 2.04 (1.01-4.11), 2.24 (1.13-4.44), and 3.89 (1.94-7.80) times that of group A, P<0.05, respectively. The incidence risk of NAFLD in groups B, C, and D was 2.21 (1.02-4.77), 2.39 (1.10-5.19), and 4.49 (1.99-10.15) times that of group A, all P<0.05, respectively. Conclusion:The risk of NAFLD increased with the increase of serum uric acid level, and this trend was mainly manifested in female employees.

Objective:To investigate the correlation between hyperhomocysteinemia (HCA) and hyperuricemia (HUA).Methods:A total of 8 465 individuals who received a medical examination at the Xiangya Hospital Health Management Center of Central South University were selected as research subjects from January to June 2018. The multi-factor binary Logic regression method was adopted and four different models. The ratio ( OR) and its 95% trusted interval ( CI) between Hhcy group and normal control group were analyzed. Results:Compared to the normal control group, the OR(95% CI) of the probability of HUA in the Hhcy population was 3.272 (95% CI: 2.839 to 3.771, P<0.001) without correcting other factors; After correcting the influence of age and gender, the OR (95% CI) of the Hhcy population with HUA probability was 2.111 (95% CI: 1.811-2.461, P<0.001); After correcting age, gender, Body Mass Index (BMI), blood pressure, fasting blood sugar, triglycerin, low-density lipoprotein, and high-density lipoprotein, the OR(95% CI) of the Hhcy population with HUA probability was 2.163 (95% CI: 1.845 to 2.535, P<0.001); After correcting age, sex, BMI, blood pressure, fasting blood sugar, triglycerin, low-density lipoprotein, high-density lipoprotein, drinking, smoking, exercise time, and exercise intensity, the OR (95% CI) of the Hhcy population had a HUA probability of 2.209(95% CI: 1.845 to 2.646, P<0.001). Conclusion:The cross-sectional study confirmed that Hhcy was positively correlated with HUA. Reducing homocysteine levels may be a new approach to the health management of HUA.

Objeetive To explore the relationship between metabolic syndrome and benign prostatic hyperplasia in health management.Methods A total of 5 721 patients of prostate hyperplasia was collected and divided into two groups according to metabolic syndrome.The height, weight, body mass index (BMI), and arterial blood pressure were measured.The serum PSA, cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), postprandial blood glucose, uric acid (UA) prostate specific antigen (PSA), and free prostate specific antigen (fPSA) were monitored.The volume of prostate was measured with ultrasound.The difference was analyzed between two groups of metabolic syndrome components and the volume of prostate.The correlation between various indicators of metabolic syndrome and prostate hyperplasia and prostate volume were analyzed.Health intervention was made to observe the changes of prostate volume and symptoms in the patients with metabolic syndrome for one year.Results BMI, TG, TC, BG, prostate volume, and serum PSA were higher in the patients with metabolic syndrome than in the control group.There was significant correlation between hyperlipidemia, benign prostatic hyperplasia and diagnosis of hypertension.Prostate volume was positively correlated with obesity, hypertension, high-density lipoprotein and metabolic syndrome.After health intervention, the indicators of metabolic syndrome decreased, and the symptoms of benign prostatic hyperplasia were relieved.Conclusions Reduced obesity, hypertension, low highdensity lipoprotein and the metabolic syndrome and prostate volume were positively related.Metabolic syndrome and prostatic hyperplasia exists certain relationship.The metabolic syndrome health interventions will be necessary to manage the health of prostate hyperplasia, thus delays the occurrence and development of prostate hyperplasia disease.