This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To investigate the impact of different etiologies on the spatial distribution pattern of infarcts and the mapping pattern of focal symptoms in acute ischemic stroke (AIS) using a population-based standardized spatial analysis of MRI.Methods:This was a cross-sectional study. Clinical [age, sex distribution, admission National Institutes of Health Stroke Scale (NIHSS) score and 90-day modified Rankin Scale (mRS) score at discharge, etc.] and imaging data of 2 610 patients with AIS attending 9 Medical Centers from January 2015 to December 2021 were retrospectively analyzed. All patients were categorized into 1 718 cases of large artery atherosclerosis (LAA) type, 335 cases of cardioembolism (CE) type, and 557 cases of small artery occlusion (SAO) type according to TOAST typing. All patients underwent diffusion-weighted imaging, and the detected infarct lesions were segmented and aligned to the standardized space using artificial intelligence-assisted methods, and the spatial distribution frequency heatmaps of lesion locations in patients with different TOAST subtypes were plotted and compared with each other by χ2 test. Lesion-symptom image brain maps with different clinical symptoms were further plotted, and differences of lesion-symptom image relationships among different TOAST subtypes were observed and compared with each other by interaction effect. Results:In all patients, the favored sites of infarct lesions were the bilateral middle cerebral artery region in the anterior circulation and the occipital and brainstem regions in the posterior circulation. Compared with the LAA type, the CE type lesions were more likely to occur in the anterior cerebral artery region, the occipital lobe, and the cerebellum posterior, while the SAO type lesions were more likely to occur in the perforator artery supply area. The lesion-symptom mapping results showed that AIS patients with infarct lesions in the frontoparieto-temporal region in the presence of a left middle cerebral artery supply had higher admission NIHSS scores and higher discharge 90-day mRS scores for the LAA type than for the CE type( P<0.05); AIS patients with infarcted lesions in the brainstem region and some cerebellar regions in the presence of vertebrobasilar artery supply had higher admission NIHSS scores and higher discharge 90-day mRS scores for the CE type than for the LAA type( P<0.05). Conclusion:At the population level, brain mapping reveals specific infarct distribution patterns and differences in lesion-symptom mapping patterns of different etiologies AIS patients, providing imaging evidence for the understanding of AIS pathogenetic mechanisms and clinical management.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To establish and validate a lipid parameter-based prognostic model for predicting recurrence free survival (RFS) in pancreatic cancer patients receiving postoperative adjuvant chemotherapy.Methods:A retrospective analysis was conducted on the clinical and pathological data of 155 patients who underwent pancreatic cancer resection followed by adjuvant chemotherapy at Affiliated Hospital of Qingdao University between January 2019 and December 2022. The patients were randomly divided into a training set ( n=108) and a validation set ( n=47) in a 7∶3 ratio. X-tile software was used to determine cutoff values for lipid parameters. Univariate and multivariate Cox regression analyses were performed to construct a model predicting RFS, which was then visualized using a nomogram. The model's predictive performance, accuracy and stability, and clinical application value were evaluated using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA), respectively. Individual risk scores for recurrence were calculated based on the nomogram model, and X-tile software was employed to identify optimal cutoff values for risk stratification, which was used to divide patients into low-risk and high-risk groups. Survival differences between two groups were analyzed using survival curves. Results:Among lipid parameters, patients with higher apolipoprotein A1 level had obviously longer RFS than those with low apolipoprotein A1 level (10.17 months vs 8.92 months, HR=0.397, 95% CI 0.237~0.664); patients with high total cholesterol level had obviously shorter RFS than those with low total cholesterol level (8.33 months vs 16.27months, HR=3.382, 95% CI 1.901~5.824) ; patients with high low-density lipoprotein level had obviously shorter RFS than those with low low-density lipoprotein level (8.53 months vs 11.43 months, HR=1.617, 95% CI 1.013~2.582) ; patients with high lipoprotein(a) had shorter RFS than those with low lipoprotein(a) (8.53 months vs 14.43 months, HR=2.640, 95% CI 1.514-4.604) ; and all the differences were statistical significant (all P value <0.05). Univariate Cox regression analysis identified advanced T stage, advanced N stage, high total cholesterol level, high low-density lipoprotein level, low apolipoprotein A1 level, high apolipoprotein B level, and high lipoprotein(a) level as risk factors for RFS. Multivariate Cox regression analysis revealed that tumors located in the pancreatic body or tail ( HR=0.63, 95% CI 0.36-0.86, P=0.042), advanced T stage ( HR=4.85, 95% CI 1.47-16.04, P=0.010), advanced N stage ( HR=0.48, 95% CI 0.26-0.87, P=0.015), elevated total cholesterol levels ( HR=3.61, 95% CI 1.46-8.91, P=0.005), high density lipoprotein levels ( HR=0.48, 95% CI 0.26-0.87, P=0.015), and elevated lipoprotein(a) levels ( HR=3.17, 95% CI 1.61-6.24, P<0.001) were independent risk factors for RFS. The nomogram model incorporating these six factors above demonstrated an AUC of 0.78 (95% CI 0.70-0.87) in the training set and 0.75 (95% CI 0.59-0.91) in the validation set. Calibration curves indicated a high degree of agreement between predicted and observed outcomes. DCA suggested that the model provides substantial clinical benefit. Kaplan-Meier survival curve analysis showed that patients in the high-recurrence risk group from training set and validation set both had significantly shorter RFS compared to those in the low-recurrence risk group (6.93 months vs 12.13 months, HR=4.024, 95% CI 2.594-6.243; 6.85 months vs 11.93 months, HR=2.314, 95% CI 1.227-4.362); and all the differences were statistical significant (all P value <0.05). Conclusions:The nomogram model based on lipid parameters can effectively predict recurrence free survival in patients undergoing adjuvant chemotherapy after pancreatic cancer surgery.

Objective:To investigate the impact of different etiologies on the spatial distribution pattern of infarcts and the mapping pattern of focal symptoms in acute ischemic stroke (AIS) using a population-based standardized spatial analysis of MRI.Methods:This was a cross-sectional study. Clinical [age, sex distribution, admission National Institutes of Health Stroke Scale (NIHSS) score and 90-day modified Rankin Scale (mRS) score at discharge, etc.] and imaging data of 2 610 patients with AIS attending 9 Medical Centers from January 2015 to December 2021 were retrospectively analyzed. All patients were categorized into 1 718 cases of large artery atherosclerosis (LAA) type, 335 cases of cardioembolism (CE) type, and 557 cases of small artery occlusion (SAO) type according to TOAST typing. All patients underwent diffusion-weighted imaging, and the detected infarct lesions were segmented and aligned to the standardized space using artificial intelligence-assisted methods, and the spatial distribution frequency heatmaps of lesion locations in patients with different TOAST subtypes were plotted and compared with each other by χ2 test. Lesion-symptom image brain maps with different clinical symptoms were further plotted, and differences of lesion-symptom image relationships among different TOAST subtypes were observed and compared with each other by interaction effect. Results:In all patients, the favored sites of infarct lesions were the bilateral middle cerebral artery region in the anterior circulation and the occipital and brainstem regions in the posterior circulation. Compared with the LAA type, the CE type lesions were more likely to occur in the anterior cerebral artery region, the occipital lobe, and the cerebellum posterior, while the SAO type lesions were more likely to occur in the perforator artery supply area. The lesion-symptom mapping results showed that AIS patients with infarct lesions in the frontoparieto-temporal region in the presence of a left middle cerebral artery supply had higher admission NIHSS scores and higher discharge 90-day mRS scores for the LAA type than for the CE type( P<0.05); AIS patients with infarcted lesions in the brainstem region and some cerebellar regions in the presence of vertebrobasilar artery supply had higher admission NIHSS scores and higher discharge 90-day mRS scores for the CE type than for the LAA type( P<0.05). Conclusion:At the population level, brain mapping reveals specific infarct distribution patterns and differences in lesion-symptom mapping patterns of different etiologies AIS patients, providing imaging evidence for the understanding of AIS pathogenetic mechanisms and clinical management.

Objective:To establish and validate a lipid parameter-based prognostic model for predicting recurrence free survival (RFS) in pancreatic cancer patients receiving postoperative adjuvant chemotherapy.Methods:A retrospective analysis was conducted on the clinical and pathological data of 155 patients who underwent pancreatic cancer resection followed by adjuvant chemotherapy at Affiliated Hospital of Qingdao University between January 2019 and December 2022. The patients were randomly divided into a training set ( n=108) and a validation set ( n=47) in a 7∶3 ratio. X-tile software was used to determine cutoff values for lipid parameters. Univariate and multivariate Cox regression analyses were performed to construct a model predicting RFS, which was then visualized using a nomogram. The model's predictive performance, accuracy and stability, and clinical application value were evaluated using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA), respectively. Individual risk scores for recurrence were calculated based on the nomogram model, and X-tile software was employed to identify optimal cutoff values for risk stratification, which was used to divide patients into low-risk and high-risk groups. Survival differences between two groups were analyzed using survival curves. Results:Among lipid parameters, patients with higher apolipoprotein A1 level had obviously longer RFS than those with low apolipoprotein A1 level (10.17 months vs 8.92 months, HR=0.397, 95% CI 0.237~0.664); patients with high total cholesterol level had obviously shorter RFS than those with low total cholesterol level (8.33 months vs 16.27months, HR=3.382, 95% CI 1.901~5.824) ; patients with high low-density lipoprotein level had obviously shorter RFS than those with low low-density lipoprotein level (8.53 months vs 11.43 months, HR=1.617, 95% CI 1.013~2.582) ; patients with high lipoprotein(a) had shorter RFS than those with low lipoprotein(a) (8.53 months vs 14.43 months, HR=2.640, 95% CI 1.514-4.604) ; and all the differences were statistical significant (all P value <0.05). Univariate Cox regression analysis identified advanced T stage, advanced N stage, high total cholesterol level, high low-density lipoprotein level, low apolipoprotein A1 level, high apolipoprotein B level, and high lipoprotein(a) level as risk factors for RFS. Multivariate Cox regression analysis revealed that tumors located in the pancreatic body or tail ( HR=0.63, 95% CI 0.36-0.86, P=0.042), advanced T stage ( HR=4.85, 95% CI 1.47-16.04, P=0.010), advanced N stage ( HR=0.48, 95% CI 0.26-0.87, P=0.015), elevated total cholesterol levels ( HR=3.61, 95% CI 1.46-8.91, P=0.005), high density lipoprotein levels ( HR=0.48, 95% CI 0.26-0.87, P=0.015), and elevated lipoprotein(a) levels ( HR=3.17, 95% CI 1.61-6.24, P<0.001) were independent risk factors for RFS. The nomogram model incorporating these six factors above demonstrated an AUC of 0.78 (95% CI 0.70-0.87) in the training set and 0.75 (95% CI 0.59-0.91) in the validation set. Calibration curves indicated a high degree of agreement between predicted and observed outcomes. DCA suggested that the model provides substantial clinical benefit. Kaplan-Meier survival curve analysis showed that patients in the high-recurrence risk group from training set and validation set both had significantly shorter RFS compared to those in the low-recurrence risk group (6.93 months vs 12.13 months, HR=4.024, 95% CI 2.594-6.243; 6.85 months vs 11.93 months, HR=2.314, 95% CI 1.227-4.362); and all the differences were statistical significant (all P value <0.05). Conclusions:The nomogram model based on lipid parameters can effectively predict recurrence free survival in patients undergoing adjuvant chemotherapy after pancreatic cancer surgery.

Establishing a new paradigm for high-quality development in public hospitals,embracing a comprehensive,systematic,and innovative strategic management philosophy,and instituting a modern hospital management system hold significant practical importance.It investigates the pathways through which the Guangzhou Women and Children's Medical Center has fulfilled its strategic commitments over its 17-year history.It delves into the meaning and value of constructing hospital strategic commitments,explores pathways for realization,analyzes effects.It aims to understand the normative role of strategic commitments in shaping the development paths of specialized women's and children's hospitals and to provide a reference for the high-quality development of similar hospitals across China.

Establishing a new paradigm for high-quality development in public hospitals,embracing a comprehensive,systematic,and innovative strategic management philosophy,and instituting a modern hospital management system hold significant practical importance.It investigates the pathways through which the Guangzhou Women and Children's Medical Center has fulfilled its strategic commitments over its 17-year history.It delves into the meaning and value of constructing hospital strategic commitments,explores pathways for realization,analyzes effects.It aims to understand the normative role of strategic commitments in shaping the development paths of specialized women's and children's hospitals and to provide a reference for the high-quality development of similar hospitals across China.

Establishing a new paradigm for high-quality development in public hospitals,embracing a comprehensive,systematic,and innovative strategic management philosophy,and instituting a modern hospital management system hold significant practical importance.It investigates the pathways through which the Guangzhou Women and Children's Medical Center has fulfilled its strategic commitments over its 17-year history.It delves into the meaning and value of constructing hospital strategic commitments,explores pathways for realization,analyzes effects.It aims to understand the normative role of strategic commitments in shaping the development paths of specialized women's and children's hospitals and to provide a reference for the high-quality development of similar hospitals across China.

Establishing a new paradigm for high-quality development in public hospitals,embracing a comprehensive,systematic,and innovative strategic management philosophy,and instituting a modern hospital management system hold significant practical importance.It investigates the pathways through which the Guangzhou Women and Children's Medical Center has fulfilled its strategic commitments over its 17-year history.It delves into the meaning and value of constructing hospital strategic commitments,explores pathways for realization,analyzes effects.It aims to understand the normative role of strategic commitments in shaping the development paths of specialized women's and children's hospitals and to provide a reference for the high-quality development of similar hospitals across China.