Objective:To describe the distribution of lipoprotein (a) [Lp(a)] levels in non-arteriosclerotic cardiovascular disease (ASCVD) population in China and explore its influencing factors.Methods:This study was based on a nested case-control study in the CKB study measured plasma biomarkers. Lp(a) levels was measured using a polyclonal antibody-based turbidimetric assay certified by the reference laboratory and ≥75.0 nmol/L defined as high Lp(a). Multiple logistic regression model was used to examine the factors related to Lp(a) levels.Results:Among the 5 870 non-ASCVD population included in the analysis, Lp(a) levels showed a right-skewed distribution, with a M ( Q1, Q3) of 17.5 (8.8, 43.5) nmol/L. The multiple logistic regression analysis found that female was associated with high Lp(a) ( OR=1.23, 95% CI: 1.05-1.43). The risk of increased Lp(a) levels in subjects with abdominal obesity was significantly reduced ( OR=0.68, 95% CI: 0.52-0.89). As TC, LDL-C, apolipoprotein A1(Apo A1), and apolipoprotein B(Apo B) levels increased, the risk of high Lp(a) increased, with OR (95% CI) for each elevated group was 2.40 (1.76-3.24), 2.68 (1.36-4.93), 1.29 (1.03-1.61), and 1.65 (1.27-2.13), respectively. The risk of high Lp(a) was reduced in the HDL-C lowering group with an OR (95% CI) of 0.76 (0.61-0.94). In contrast, an increase in TG levels and the ratio of Apo A1/Apo B(Apo A1/B) was negatively correlated with the risk of high Lp(a), with OR (95% CI) of 0.73 (0.60-0.89) for elevated triglyceride group, and OR (95% CI) of 0.60 (0.50-0.72) for the Apo A1/B ratio increase group (linear trend test P≤0.001 except for Apo A1). However, no correlation was found between Lp(a) levels and lifestyle factors such as diet, smoking, and physical activity. Conclusions:Lp(a) levels were associated with sex and abdominal obesity, but less with lifestyle behaviors.

Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

Objective To investigate the effect of rehabilitation instruction based on resourceful theory on the execution intention of exercise behaviour in patient with the first-episode stroke.Methods From September 2022 to February 2023,a total of 80 inpatients with first-episode stroke from a general hospital in Anhui Province participated in the study.Patients in Wards Ⅰ and Ⅱ were assigned to an intervention group,while those in Wards Ⅲ and Ⅳ were assigned to a control group,with 40 patients per group.The patients in control group received standard interventions,while those in the intervention group were offered with a rehabilitation instruction based on resourceful theory in addition to the standard interventions.Stroke patient rehabilitation exercise behaviour execution intention questionnaire,resourcefulness scale and modified Barthel were employed for assessments before and after the intervention.Results After the intervention,the intervention group showed significantly higher scores inexecutive intention of exercise behaviour,resourcefulness level and daily living activities compared to those in the control group(all P＜0.01).Conclusion Rehabilitation instruction based on the theory of resourcefulness can effectively increase the executive intention of exercise behaviour in the patients with first-episode stroke,improve the resourcefulness thinking levels and enhance the daily living activity of the patients.

Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

Objective To investigate th effect of PCSK9 inhibitors on early intensive lipid-lowering therapy in patients with symptomatic intracranial atherosclerotic stenosis(ICAS).Method One hundred and thirty-nine symptomatic ICAS patients who attended the Xuzhou Central Hospital from October 2022 to August 2023 were collected.According to the choice of lipid-lowering regimen,they were divided into statin drug group(n=54),PCSK9 inhibitor group(n=42)and combination drug group(n=43).Baseline data,laboratory indices,adverse drug reactions,clinical neurological function scores and endpoint events of the three groups were collected and analyzed.Results There was no statistically significant difference in the clinical data among the three groups before treatment.Compared with pre-treatment,total cholesterol(TC)and low-density lipoprotein cholesterol(LDL-C)levels were significantly lower in the three groups after treatment(all P＜0.01),and peripheral blood leukocyte counts were significantly lower in the PCSK9 inhibitor group after treatment(P＜0.05).After treatment,the differences in TC and LDL-C levels and the proportions of LDL-C＜1.8 mmol/L after 2 weeks of medication and LDL-C＜1.4 mmol/L on the 90th day were statistically significant among the three groups(all P＜0.01).Compared with the statin drug group,the differences in TC and LDL-C levels and the proportions of LDL-C＜1.8 mmol/L after 2 weeks and LDL-C＜1.4 mmol/L on the 90th day in the PCSK9 inhibitor group and the combination drug group were statistically significant(all P＜0.05).The differences in the occurrence of endpoint events,the proportion of recurrent AIS or TIA,cardiovascular events,and the time to endpoint events among the three groups were statistically significant on the 180th day after treatment(all P＜0.05).Differences in the occurrence of endpoint events,proportion of cardiovascular sexual events,and time to endpoint events on day 180 after treatment were statistically different in the PCSK9 inhibitor group and the combination drug group compared with the statin drug group(all P＜0.05).There was a statistically significant difference among the survival analysis curves of the three groups,with higher event-free survival in both groups with PCSK9 inhibitors alone or in combination(Log-Rank=13.95,P=0.0009).Conclusion Early intensive lipid lowering with PCSK9 inhibitors is effective and safe in patients with symptomatic ICAS,and can further reduce LDL-C,TC,and white blood cell counts,as well as improve lipid compliance,and significantly reduce the rate of end-point events with a significantly prolonged time to occurrence.

【Objective】 To evaluate the therapeutic value of radiotherapy for ovarian metastasis from small cell lung cancer. 【Methods】 Two patients with ovarian metastasis from small cell lung cancer were recruited, and the value of radiotherapy in the system treatment strategies was analyzed combined with literature reports. 【Results】 The two patients both benefited from local radiotherapy plus system treatment. One was still in complete remission, and compared to that reported in the literature, the local PFS improved to 21 months. 【Conclusion】 Although the prognosis of small cell lung cancer with ovarian metastasis is still poor, radiotherapy might be one of the systematic treatment strategies for improving the survival time of these patients.

BACKGROUND: Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population. METHODS: Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training ( n = 28,490) and testing sets ( n = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal I21-I23 and fatal I20-I25) and soft CAD (all fatal or nonfatal I20-I25) were analyzed separately. RESULTS: In the testing set, 1214 hard and 7201 soft CAD cases were documented during a mean follow-up of 11.2 years. The HR per standard deviation of the optimal PRS was 1.26 (95% CI:1.19-1.33) for hard CAD. Based on a traditional CAD risk prediction model containing only non-laboratory-based information, the addition of PRS for hard CAD increased Harrell's C index by 0.001 (-0.001 to 0.003) in women and 0.003 (0.001 to 0.005) in men. Among the different high-risk thresholds ranging from 1% to 10%, the highest categorical NRI was 3.2% (95% CI: 0.4-6.0%) at a high-risk threshold of 10.0% in women. The association of the PRS with soft CAD was much weaker than with hard CAD, leading to minimal or no improvement in the soft CAD model. CONCLUSIONS In this Chinese population sample, the current PRSs minimally changed risk discrimination and offered little improvement in risk stratification for soft CAD. Therefore, this may not be suitable for promoting genetic screening in the general Chinese population to improve CAD risk prediction.
Male ; Humans ; Female ; Coronary Artery Disease/genetics* ; Biological Specimen Banks ; East Asian People ; Risk Assessment/methods* ; Genetic Predisposition to Disease/genetics* ; Risk Factors ; Genome-Wide Association Study

Humans ; Consensus ; Pancreatic Neoplasms/therapy* ; Neuroendocrine Tumors/therapy*

BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults. METHODS: We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality. RESULTS: Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 - 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 - 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 - 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 - 1.37) with every additional disease. CONCLUSION Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
Aged ; Arthritis, Rheumatoid ; Asians ; China/epidemiology* ; Humans ; Hypertension ; Middle Aged ; Multimorbidity

Objective:To understand the knowledge, attitude and behavior of volume management of maintenance hemodialysis patients, so as to provide a basis for standardizing volume management and carrying out refined individual care.Methods:By means of convenience sampling, 608 patients from 4 hospitals who received regular dialysis treatment in Xuzhou and Yancheng hemodialysis rooms in October 2021 were selected as subjects. Patients were surveyed by a self-designed knowledge questionnaires of volume management, Maintenance Hemodialysis Patients′ Capacity Management Behavior Scale and Self-Efficacy Scale. Questionnaires were collected through the questionnaire star.Results:A total of 608 valid questionnaires were collected. The knowledge dimension scored 8.21 ± 2.27 , atitude dimension scored 7.36 ± 2.06 and behavior dimension scored 15.07 ± 4.22. Multiplelinear regression analysis showed that age, dialysis age and self-care ability were predictors of volume management knowledge score ( t=-2.07, 2.35, -3.90, all P<0.05 ). Medical insurance type was a predictor of volume management attitude score ( t=-2.17, P<0.05). Education level was a predictor of volume management behavior score ( t=3.04, P<0.05). Conclusions:The capacity management knowledge and capacity management attitude of maintenance hemodialysis patients is in the medium level, but with poor volume management executive ability. It is suggested that medical staff carry out health education related to volume management according to different characteristics of patients, and effectively improve patients′ volume management ability.