Background: Meteorological factors and air pollutants are believed to be associated with cardiovascular disease. Ischemic heart disease (IHD) is a major public health issue worldwide. Few studies have investigated the associations among meteorological factors, air pollutants and IHD daily hospital admissions in Lanzhou, China. Methods: We conducted a distributed lag non-linear model (DLNM) on the basis of five years data, aiming at disentangling the impact of meteorological factors and air pollutants on IHD hospital admissions. All IHD daily hospital admissions recorded from January 1, 2015 and December 31, 2019 were obtained from three hospitals in Lanzhou, China. Daily air pollutant concentrations and meteorological data were synchronously collected from Gansu Meteorological Administration and Lanzhou Environmental Protection Administration. Stratified analyses were performed by sex and two age-groups. Results: A total of 23555 IHD hospital admissions were recorded, of which 10477 admissions were for coronary artery disease (CAD), 13078 admissions were for acute coronary syndrome (ACS). Our results showed that there was a non-linear (J-shaped) relationship between temperature and IHD hospital admissions. The number of IHD hospital admissions were positively correlated with NO2, O3, humidity and pressure, indicating an increased risk of hospital admissions for IHD under NO2, O3, humidity and pressure exposure. Meanwhile, both extremely low (-12ºC) and high (30ºC) temperature reduced IHD hospital admissions, but the harmful effect increased with the lag time in Lanzhou, China, while the cold effect was more pronounced and long-lasting than the heat effect. Subgroup analysis demonstrated that the risk on CAD hospital admissions increased significantly in female and <65 years of age at -12ºC. Conclusion: Our findings added to the growing evidence regarding the potential impact of meteorological factors, air pollutants on policymaking from the perspective of hospital management efficiency.
Background: Meteorological factors and air pollutants are believed to be associated with cardiovascular disease. Ischemic heart disease (IHD) is a major public health issue worldwide. Few studies have investigated the associations among meteorological factors, air pollutants and IHD daily hospital admissions in Lanzhou, China. Methods: We conducted a distributed lag non-linear model (DLNM) on the basis of five years data, aiming at disentangling the impact of meteorological factors and air pollutants on IHD hospital admissions. All IHD daily hospital admissions recorded from January 1, 2015 and December 31, 2019 were obtained from three hospitals in Lanzhou, China. Daily air pollutant concentrations and meteorological data were synchronously collected from Gansu Meteorological Administration and Lanzhou Environmental Protection Administration. Stratified analyses were performed by sex and two age-groups. Results: A total of 23555 IHD hospital admissions were recorded, of which 10477 admissions were for coronary artery disease (CAD), 13078 admissions were for acute coronary syndrome (ACS). Our results showed that there was a non-linear (J-shaped) relationship between temperature and IHD hospital admissions. The number of IHD hospital admissions were positively correlated with NO2, O3, humidity and pressure, indicating an increased risk of hospital admissions for IHD under NO2, O3, humidity and pressure exposure. Meanwhile, both extremely low (-12ºC) and high (30ºC) temperature reduced IHD hospital admissions, but the harmful effect increased with the lag time in Lanzhou, China, while the cold effect was more pronounced and long-lasting than the heat effect. Subgroup analysis demonstrated that the risk on CAD hospital admissions increased significantly in female and <65 years of age at -12ºC. Conclusion: Our findings added to the growing evidence regarding the potential impact of meteorological factors, air pollutants on policymaking from the perspective of hospital management efficiency.
Abnormal development of the atrioventricular ring can lead to the formation of a bypass pathway and the occurrence of Wolff–Parkinson–White (WPW) syndrome. The genetic mechanism underlying the sporadic form of WPW syndrome remains unclear. Existing evidence suggests that both T-box transcription factor 3 ( TBX3 ) and T-box transcription factor 2 ( TBX2 ) genes participate in regulating annulus fibrosus formation and atrioventricular canal development. Thus, we aimed to examine whether single-nucleotide polymorphisms (SNPs) in the TBX3 and TBX2 genes confer susceptibility to WPW syndrome in a Han Chinese Population. We applied a SNaPshot SNP assay to analyze 5 selected tagSNPs of TBX3 and TBX2 in 230 patients with sporadic WPW syndrome and 231 sex- and age-matched controls. Haplotype analysis was performed using Haploview software. Allele C of TBX3 rs1061657 was associated with a higher risk of WPW syndrome (odds ratio [OR] = 1.41, 95% confidence interval [CI]: 1.08–1.83, P = .011) and left-sided accessory pathways (OR = 1.40, 95% CI: 1.07–1.84, P = .016). However, allele C of TBX3 rs8853 was likely to reduce these risks (OR = 0.71, 95% CI: 0.54–0.92, P = .011; OR = 0.70, 95% CI: 0.53–0.92, P = .011, respectively). The data revealed no association between TBX3 rs77412687, TBX3 rs2242442, or TBX2 rs75743672 and WPW syndrome. TBX3 rs1061657 and rs8853 are significantly associated with sporadic WPW syndrome among a Han Chinese population. To verify our results, larger sample sizes are required in future studies.
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