2.The North-South difference of the relationship between cold spells and mortality risk of cardiovascular diseases in China.
Qing Hua SUN ; Yue SUN ; Mei Lin YAN ; Jing CAO ; Tian Tian LI
Chinese Journal of Preventive Medicine 2022;56(10):1435-1440
		                        		
		                        			
		                        			Objective: To analyze the North-South difference of the relationship between cold spells and mortality risk of cardiovascular diseases in China. Methods: The time series analysis method was used to collect the daily counts of cardiovascular mortality data, meteorological data and PM2.5 concentration in the cold season (November to March of the following year) from January 1, 2013 to December 31, 2018 in 280 districts and counties in China. The non-constrained distributed lag linear model was used to analyze the relationship between cold spells and mortality risk of cardiovascular diseases and its North-South difference in China. Results: From 2013 to 2018, the mean of daily average temperature of the cold season in 280 districts and counties was 5.4 ℃. The mean of daily average relative humidity was 64.4%, and the mean of daily average PM2.5 concentration was 73.7 μg/m3. The average cold spell days in each county was 11.7 days per year,the mean of daily average temperature on cold spell days was (-2.4±6.7) ℃, and M (Q1, Q3) was -1.5 (-5.1, 1.1) ℃. The average of daily number of cardiovascular disease deaths in each county/district was (6±5) cases, and M (Q1, Q3) was 5 (2, 8) cases. The percentage change (95%CI) in the South was 4.94% (3.69%, 6.20%) (lag 0 d), higher than that in the North [the percentage change (95%CI) was 1.49% (1.14%-1.84%) (lag 0-7 d)]. In the North, the mortality risk of ≥75 years old was relatively low among three age groups, with a percentage change (95%CI) about 1.63% (1.33%-1.93%) (lag 0-21 d). In the South, the mortality risk of ≥ 75 years old was relatively high among three age groups, with a percentage change (95%CI) about 5.18% (3.78%-6.59%) (lag 0 d). Conclusion: The mortality risk of cardiovascular diseases caused by cold spells in the South is higher than that in the North of China, and the risk peak occurs earlier in the South.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Cardiovascular Diseases
		                        			;
		                        		
		                        			Cold Temperature
		                        			;
		                        		
		                        			Temperature
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Particulate Matter/analysis*
		                        			;
		                        		
		                        			Mortality
		                        			
		                        		
		                        	
3.Sepsis, cardiovascular events and short-term mortality risk in critically ill patients.
Sharlene HO ; Hwee Pin PHUA ; Wei Yen LIM ; Niranjana MAHALINGAM ; Guan Hao Chester TAN ; Ser Hon PUAH ; Jin Wen Sennen LEW
Annals of the Academy of Medicine, Singapore 2022;51(5):272-282
		                        		
		                        			INTRODUCTION:
		                        			There is paucity of data on the occurrence of cardiovascular events (CVEs) in critically ill patients with sepsis. We aimed to describe the incidence, risk factors and impact on mortality of CVEs in these patients.
		                        		
		                        			METHODS:
		                        			This was a retrospective cohort study of critically ill patients admitted to the medical intensive care unit (ICU) between July 2015 and October 2016. The primary outcome was intra-hospital CVEs, while the secondary outcomes were in-hospital mortality, ICU and hospital length of stay.
		                        		
		                        			RESULTS:
		                        			Patients with sepsis (n=662) had significantly more CVEs compared to those without (52.9% versus 23.0%, P<0.001). Among sepsis patients, 350 (52.9%) had 1 or more CVEs: 59 (8.9%) acute coronary syndrome; 198 (29.9%) type 2 myocardial infarction; 124 (18.7%) incident atrial fibrillation; 76 (11.5%) new or worsening heart failure; 32 (4.8%) cerebrovascular accident; and 33 (5.0%) cardiovascular death. Factors associated with an increased risk of CVEs (adjusted relative risk [95% confidence interval]) included age (1.013 [1.007-1.019]); ethnicity-Malay (1.214 [1.005-1.465]) and Indian (1.240 [1.030-1.494]) when compared to Chinese; and comorbidity of ischaemic heart disease (1.317 [1.137-1.527]). There were 278 patients (79.4%) who developed CVEs within the first week of hospitalisation. Sepsis patients with CVEs had a longer median (interquartile range [IQR]) length of stay in the ICU (6 [3-12] vs 4 [2-9] days, P<0.001), and hospital (21 [10-42] vs 15 [7-30] days, P<0.001) compared to sepsis patients without CVEs. There was no difference in in-hospital mortality between the 2 groups (46.9% vs 45.8%, P=0.792).
		                        		
		                        			CONCLUSION
		                        			CVEs complicate half of the critically ill patients with sepsis, with 79.4% of patients developing CVEs within the first week of hospitalisation, resulting in longer ICU and hospital length of stay.
		                        		
		                        		
		                        		
		                        			Cardiovascular Diseases/epidemiology*
		                        			;
		                        		
		                        			Critical Illness/epidemiology*
		                        			;
		                        		
		                        			Hospital Mortality
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Intensive Care Units
		                        			;
		                        		
		                        			Length of Stay
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Sepsis/epidemiology*
		                        			
		                        		
		                        	
4.The Use of Lipoprotein-Associated Phospholipase A2 in a Chinese Population to Predict Cardiovascular Events.
Hui XI ; Guan Liang CHENG ; Fei Fei HU ; Song Nan LI ; Xuan DENG ; Yong ZHOU
Biomedical and Environmental Sciences 2022;35(3):206-214
		                        		
		                        			Objective:
		                        			To explore associations between lipoprotein-associated phospholipase A2 (Lp-PLA2) and the risk of cardiovascular events in a Chinese population, with a long-term follow-up.
		                        		
		                        			Methods:
		                        			A random sample of 2,031 participants (73.6% males, mean age = 60.4 years) was derived from the Asymptomatic Polyvascular Abnormalities Community study (APAC) from 2010 to 2011. Serum Lp-PLA2 levels were determined by enzyme-linked immunosorbent assay (ELISA). The composite endpoint was a combination of first-ever stroke, myocardial infarction (MI) or all-cause death. Lp-PLA2 associations with outcomes were assessed using Cox models.
		                        		
		                        			Results:
		                        			The median Lp-PLA2 level was 141.0 ng/mL. Over a median follow-up of 9.1 years, we identified 389 events (19.2%), including 137 stroke incidents, 43 MIs, and 244 all-cause deaths. Using multivariate Cox regression, when compared with the lowest Lp-PLA2 quartile, the hazard ratios with 95% confidence intervals for developing composite endpoints, stroke, major adverse cardiovascular events, and all-cause death were 1.77 (1.24-2.54), 1.92 (1.03-3.60), 1.69 (1.003-2.84), and 1.94 (1.18-3.18) in the highest quartile, respectively. Composite endpoints in 145 (28.6%) patients occurred in the highest quartile where Lp-PLA2 (159.0 ng/mL) was much lower than the American Association of Clinical Endocrinologists recommended cut-off point, 200 ng/mL.
		                        		
		                        			Conclusion
		                        			Higher Lp-PLA2 levels were associated with an increased risk of cardiovascular event/death in a middle-aged Chinese population. The Lp-PLA2 cut-off point may be lower in the Chinese population when predicting cardiovascular events.
		                        		
		                        		
		                        		
		                        			1-Alkyl-2-acetylglycerophosphocholine Esterase/blood*
		                        			;
		                        		
		                        			Asians
		                        			;
		                        		
		                        			Cardiovascular Diseases/diagnosis*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Longitudinal Studies
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Mortality
		                        			;
		                        		
		                        			Myocardial Infarction/blood*
		                        			;
		                        		
		                        			Predictive Value of Tests
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Stroke/blood*
		                        			
		                        		
		                        	
5.Seasonality of mortality under a changing climate: a time-series analysis of mortality in Japan between 1972 and 2015.
Lina MADANIYAZI ; Yeonseung CHUNG ; Yoonhee KIM ; Aurelio TOBIAS ; Chris Fook Sheng NG ; Xerxes SEPOSO ; Yuming GUO ; Yasushi HONDA ; Antonio GASPARRINI ; Ben ARMSTRONG ; Masahiro HASHIZUME
Environmental Health and Preventive Medicine 2021;26(1):69-69
		                        		
		                        			BACKGROUND:
		                        			Ambient temperature may contribute to seasonality of mortality; in particular, a warming climate is likely to influence the seasonality of mortality. However, few studies have investigated seasonality of mortality under a warming climate.
		                        		
		                        			METHODS:
		                        			Daily mean temperature, daily counts for all-cause, circulatory, and respiratory mortality, and annual data on prefecture-specific characteristics were collected for 47 prefectures in Japan between 1972 and 2015. A quasi-Poisson regression model was used to assess the seasonal variation of mortality with a focus on its amplitude, which was quantified as the ratio of mortality estimates between the peak and trough days (peak-to-trough ratio (PTR)). We quantified the contribution of temperature to seasonality by comparing PTR before and after temperature adjustment. Associations between annual mean temperature and annual estimates of the temperature-unadjusted PTR were examined using multilevel multivariate meta-regression models controlling for prefecture-specific characteristics.
		                        		
		                        			RESULTS:
		                        			The temperature-unadjusted PTRs for all-cause, circulatory, and respiratory mortality were 1.28 (95% confidence interval (CI): 1.27-1.30), 1.53 (95% CI: 1.50-1.55), and 1.46 (95% CI: 1.44-1.48), respectively; adjusting for temperature reduced these PTRs to 1.08 (95% CI: 1.08-1.10), 1.10 (95% CI: 1.08-1.11), and 1.35 (95% CI: 1.32-1.39), respectively. During the period of rising temperature (1.3 °C on average), decreases in the temperature-unadjusted PTRs were observed for all mortality causes except circulatory mortality. For each 1 °C increase in annual mean temperature, the temperature-unadjusted PTR for all-cause, circulatory, and respiratory mortality decreased by 0.98% (95% CI: 0.54-1.42), 1.39% (95% CI: 0.82-1.97), and 0.13% (95% CI: - 1.24 to 1.48), respectively.
		                        		
		                        			CONCLUSION
		                        			Seasonality of mortality is driven partly by temperature, and its amplitude may be decreasing under a warming climate.
		                        		
		                        		
		                        		
		                        			Cardiovascular Diseases/mortality*
		                        			;
		                        		
		                        			Cause of Death
		                        			;
		                        		
		                        			Climate Change/mortality*
		                        			;
		                        		
		                        			Cold Temperature/adverse effects*
		                        			;
		                        		
		                        			Hot Temperature/adverse effects*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Japan/epidemiology*
		                        			;
		                        		
		                        			Mortality/trends*
		                        			;
		                        		
		                        			Regression Analysis
		                        			;
		                        		
		                        			Respiratory Tract Diseases/mortality*
		                        			;
		                        		
		                        			Seasons
		                        			;
		                        		
		                        			Time
		                        			
		                        		
		                        	
6.Precision Medicine and Cardiovascular Health: Insights from Mendelian Randomization Analyses
Wes SPILLER ; Keum Ji JUNG ; Ji Young LEE ; Sun Ha JEE
Korean Circulation Journal 2020;50(2):91-111
		                        		
		                        			
		                        			Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.
		                        		
		                        		
		                        		
		                        			Artifacts
		                        			;
		                        		
		                        			Bias (Epidemiology)
		                        			;
		                        		
		                        			Cardiovascular Diseases
		                        			;
		                        		
		                        			Mendelian Randomization Analysis
		                        			;
		                        		
		                        			Mortality
		                        			;
		                        		
		                        			Precision Medicine
		                        			;
		                        		
		                        			Random Allocation
		                        			;
		                        		
		                        			Risk Factors
		                        			
		                        		
		                        	
7.Mortality Risk Attributed to Ambient Temperature in Nanjing, China.
Ying ZHANG ; Shi Gong WANG ; Xiao Ling ZHANG ; Yi Fan CHENG ; Can Jun TANG
Biomedical and Environmental Sciences 2019;32(1):42-46
		                        		
		                        			
		                        			We examined the attributed fractions of all-cause, cardiovascular, and respiratory mortality that were attributed to extreme and moderate cold and heat during 2010-2016 in Nanjing. Our results showed that 12.81%, 19.78%, and 25.33% of all-cause, cardiovascular, and respiratory mortalities, respectively, were attributed to temperature. The highest attributed fractions for three types of mortality were at 4 ℃ and the attributed fractions were high around 4 ℃, which falls within the moderate cold temperatures. Although moderate cold has lower RR than extreme cold, it occurred on more days than did extreme cold. Therefore, health burden caused by moderate cold requires further attention in the future.
		                        		
		                        		
		                        		
		                        			Cardiovascular Diseases
		                        			;
		                        		
		                        			mortality
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Cities
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Mortality
		                        			;
		                        		
		                        			Respiratory Tract Diseases
		                        			;
		                        		
		                        			mortality
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Temperature
		                        			
		                        		
		                        	
8.A Relationship between Dietary Patterns and Dyslipidemia in Urban-dwelling Middle-Aged Korean Men: Using Korean Genome and Epidemiology Study (KoGES)
Woori NA ; Bonghee CHUNG ; Cheongmin SOHN
Clinical Nutrition Research 2019;8(3):219-228
		                        		
		                        			
		                        			An increase in the prevalence of dyslipidemia has been strongly associated with the mortality rate of cardiovascular disease. We conducted a cross-sectional analysis to determine the relationship between dietary patterns and dyslipidemia in adult men aged 40–64 years. A total of 5,643 subjects from the Korean Genome and Epidemiology Study (KoGES) were selected for the final analysis. We analyzed 24-hour dietary recall data. Using principal component analysis, 3 dietary patterns were identified: rice based Korean food pattern, flour based western dietary pattern, and convenience food dietary pattern. The flour based western dietary pattern was significantly and positively associated with total cholesterol, and low density lipoprotein (LDL) cholesterol (p for trend < 0.05). With regard to the rice based Korean food pattern, the group with the highest factor score had a significantly lower risk of hyper LDL cholesterolemia (odds ratio [OR], 0.802; 95% confidence interval [CI], 0.698–0.922) and high total cholesterol levels (OR, 0.868; 95% CI, 0.761–0.990) than the group with the lowest factor score. For the flour based western dietary pattern the group with the highest factor score showed a significantly high risk of hyper LDL cholesterolemia (OR, 1.189; 95% CI, 1.033–1.367; p for trend < 0.05) than the group with the lowest factor score. Our results showed that the rice based Korean food pattern protected against dyslipidemia. In contrast, the western staple pattern, which is rich in flour and processed foods, was independently associated with dyslipidemia in urban male residents of Korea.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Cardiovascular Diseases
		                        			;
		                        		
		                        			Cholesterol
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Diet
		                        			;
		                        		
		                        			Diet, Western
		                        			;
		                        		
		                        			Dyslipidemias
		                        			;
		                        		
		                        			Epidemiology
		                        			;
		                        		
		                        			Fast Foods
		                        			;
		                        		
		                        			Flour
		                        			;
		                        		
		                        			Genome
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Korea
		                        			;
		                        		
		                        			Lipoproteins
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Mortality
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			Principal Component Analysis
		                        			;
		                        		
		                        			Urbanization
		                        			
		                        		
		                        	
9.Type 2 Diabetes and Testosterone Therapy.
The World Journal of Men's Health 2019;37(1):31-44
		                        		
		                        			
		                        			A third of men with type 2 diabetes (T2DM) have hypogonadotrophic hypogonadism (HH) and associated increased risk of cardiovascular and all-cause mortality. Men with HH are at increased risk of developing incident T2DM. We conducted MEDLINE, EMBASE, and COCHRANE reviews on T2DM, HH, testosterone deficiency, cardiovascular and all-cause mortality from May 2005 to October 2017, yielding 1,714 articles, 52 clinical trials and 32 randomized controlled trials (RCT). Studies with testosterone therapy suggest significant benefits in sexual function, quality of life, glycaemic control, anaemia, bone density, fat, and lean muscle mass. Meta-analyses of RCT, rather than providing clarification, have further confused the issue by including under-powered studies of inadequate duration, multiple regimes, some discontinued, and inbuilt bias in terms of studies included or excluded from analysis.
		                        		
		                        		
		                        		
		                        			Bias (Epidemiology)
		                        			;
		                        		
		                        			Bone Density
		                        			;
		                        		
		                        			Cardiovascular Diseases
		                        			;
		                        		
		                        			Diabetes Mellitus, Type 2
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hypogonadism
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Mortality
		                        			;
		                        		
		                        			Quality of Life
		                        			;
		                        		
		                        			Testosterone*
		                        			
		                        		
		                        	
10.Testosterone treatment and cardiovascular events in prescription database studies.
Asian Journal of Andrology 2018;20(2):138-144
		                        		
		                        			
		                        			Over the past decade, there has been a substantial increase in the number of men who are treated with testosterone. Despite this increase in the use of testosterone, the risks of adverse cardiovascular events are unclear as meta-analyses have reported conflicting findings and no clinical studies have been large enough or long enough to adequately assess for cardiovascular risks. The goal of this paper is to review large prescription database studies of testosterone treatment and adverse cardiovascular events and mortality with the aim of providing some guidance for clinicians and researchers in this controversial area.
		                        		
		                        		
		                        		
		                        			Androgens/therapeutic use*
		                        			;
		                        		
		                        			Cardiovascular Diseases/epidemiology*
		                        			;
		                        		
		                        			Databases, Pharmaceutical
		                        			;
		                        		
		                        			Hormone Replacement Therapy
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Mortality
		                        			;
		                        		
		                        			Myocardial Infarction/epidemiology*
		                        			;
		                        		
		                        			Testosterone/therapeutic use*
		                        			;
		                        		
		                        			Thrombosis/epidemiology*
		                        			
		                        		
		                        	
            
Result Analysis
Print
Save
E-mail