BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

Objective:To identify the trajectories of dietary choline intake in middle-aged and older population, and to analyze its longitudinal association with cognitive function.Methods:Subjects aged 55 to 79 years with at least two rounds of completed population economics, lifestyle, disease history, cognitive function, dietary assessments and physical measurements in 1997-2018 and those with at least three rounds of dietary measures in 1991-2015 were selected from the China Health and Nutrition Survey. Dietary survey was conducted using three consecutive 24-hour dietary recalls combined with a weighing inventory at the household level. Cognitive assessment was performed using part of the Telephone Interview for Cognitive Status Scale. Group-based univariate trajectory modeling was used to identify trajectory of choline intake, and three-level linear mixed-effects models or three-level logistic mixed-effects models was employed to analyze the relationship between trajectory groups and cognitive function. Subgroup analyses were conducted by gender and age at baseline.Results:Four trajectories of dietary choline intake were identified in the whole population, named as low-intake-stable group (61.0%), medium-intake-stable group (23.9%), medium-intake-slowly-declined group (11.2%), and high-intake-stable group (3.9%). Three trajectories were identified for each subgroup. Low-intake-stable group accounted for more than 60% in total population as well as each subgroup, especially in women and 55-59 years group. After adjusting for covariates, global cognitive scores were 0.54 (95% CI: 0.26-0.82), 0.77 (95% CI: 0.36-1.18), and 0.85 (95% CI: 0.21-1.48) points higher in medium-intake-stable, medium-intake- slowly-declined and high-intake-stable groups in the whole population, respectively, compared with the low-intake-stable group. The likelihoods of cognitive decline were 18.4% ( OR=0.816,95% CI: 0.709-0.939), 17.6% ( OR=0.824, 95% CI: 0.680-0.998), 24.4% ( OR=0.756, 95% CI: 0.589-0.970) and 22.4% ( OR=0.776,95% CI: 0.623-0.968) lower in medium-intake-stable group of dietary choline in the whole population, medium-intake-stable group in males, medium-intake-slightly-increased group in females and medium-intake-slowly-increased group in 55-59 years at baseline than in low-intake-stable group, respectively. Conclusions:Dietary choline intake is generally lower in the Chinese population aged 55-79 years. Long-term lower choline intake has a negative impact on cognitive function in middle-aged and older adults and may increase the risk of cognitive decline. The increment in the consumption of choline-enriched foods should be recommended.

Objective:To identify the trajectories of dietary choline intake in middle-aged and older population, and to analyze its longitudinal association with cognitive function.Methods:Subjects aged 55 to 79 years with at least two rounds of completed population economics, lifestyle, disease history, cognitive function, dietary assessments and physical measurements in 1997-2018 and those with at least three rounds of dietary measures in 1991-2015 were selected from the China Health and Nutrition Survey. Dietary survey was conducted using three consecutive 24-hour dietary recalls combined with a weighing inventory at the household level. Cognitive assessment was performed using part of the Telephone Interview for Cognitive Status Scale. Group-based univariate trajectory modeling was used to identify trajectory of choline intake, and three-level linear mixed-effects models or three-level logistic mixed-effects models was employed to analyze the relationship between trajectory groups and cognitive function. Subgroup analyses were conducted by gender and age at baseline.Results:Four trajectories of dietary choline intake were identified in the whole population, named as low-intake-stable group (61.0%), medium-intake-stable group (23.9%), medium-intake-slowly-declined group (11.2%), and high-intake-stable group (3.9%). Three trajectories were identified for each subgroup. Low-intake-stable group accounted for more than 60% in total population as well as each subgroup, especially in women and 55-59 years group. After adjusting for covariates, global cognitive scores were 0.54 (95% CI: 0.26-0.82), 0.77 (95% CI: 0.36-1.18), and 0.85 (95% CI: 0.21-1.48) points higher in medium-intake-stable, medium-intake- slowly-declined and high-intake-stable groups in the whole population, respectively, compared with the low-intake-stable group. The likelihoods of cognitive decline were 18.4% ( OR=0.816,95% CI: 0.709-0.939), 17.6% ( OR=0.824, 95% CI: 0.680-0.998), 24.4% ( OR=0.756, 95% CI: 0.589-0.970) and 22.4% ( OR=0.776,95% CI: 0.623-0.968) lower in medium-intake-stable group of dietary choline in the whole population, medium-intake-stable group in males, medium-intake-slightly-increased group in females and medium-intake-slowly-increased group in 55-59 years at baseline than in low-intake-stable group, respectively. Conclusions:Dietary choline intake is generally lower in the Chinese population aged 55-79 years. Long-term lower choline intake has a negative impact on cognitive function in middle-aged and older adults and may increase the risk of cognitive decline. The increment in the consumption of choline-enriched foods should be recommended.

Objective:To comprehensively analyze the medical resources and services supply in the cancer field of China.Methods:Data of 2018 were sampled from 41 tertiary public cancer hospitals in China, and the factor analysis method was used to extract common factors in resources or services, scoring respectively. Pearson correlation analysis was used in the collinearity test of the variables of both groups of common factors, while the second-order clustering method was used to analyze characteristic differences between the hospitals, and category difference was compared with t test. Results:Resource evaluation covered the two dimensions of basic resources(medical service and basic assurance resources)and high-end resources(high-end talents and academic resources). Service evaluation covered the two dimensions of medical service assurance(clinical services and basic assurance)and disciplinary sphere of influence(discipline construction and clinical efficiency). The factor of basic manpower and beds was significantly correlated with that of medical service and basic assurance( r=0.811, P<0.001), while the factor of high-end talents and academic resources was significantly correlated with that disciplinary construction and resource efficiency( r=0.906, P<0.001). The second-order cluster analysis found the 41 cancer hospitals as two categories, with the first category of five in Guangdong, Shanghai, Beijing and Tianjin, and the second category of the rest 36 hospitals. Significant differences were found between the two categories in terms of resource scoring, service scoring, high-end resources and disciplinary sphere of influence( P<0.001). Meanwhile, the GDP per capita of the cities in which these hospitals are located also had significant differences( P<0.001). Conclusions:Development of public tertiary cancer hospitals in China was imbalanced, as their differences were mainly found in levels of disciplinary development and efficiency of clinical services, which were closely related to the high-end talents and academic resources of the hospital in question.Furthermore, high quality medical care was mostly located in regions of higher development. The authors recommend to take a balanced consideration of the differences and distribution of cancer care services in China, in terms of performance classification of public hospitals and establishment of regional cancer centers of the country.