Testosterone Deficiency in Hypertensive Men: Prevalence and Associated Factors. / Deficiência de Testosterona em Homens Hipertensos: Prevalência e Fatores Associados.

BACKGROUND: Testosterone deficiency (TD) is a prevalent condition in our midst and still very neglected. Arterial hypertension (AH) is one of the possible associated factors. OBJECTIVES: To determine the prevalence of TD in a hypertensive male population and the factors associated with its occurrence, such as age, time since hypertension diagnosis, number of antihypertensive classes, body mass index (BMI), diabetes, dyslipidemia, chronic kidney disease (CKD), positive symptoms of TD (positive ADAM questionnaire) and use of spironolactone. METHODS: Cross-sectional study with administration of the ADAM questionnaire, assessment of biochemical, clinical, and anthropometric data. Patients were stratified into DT and normal testosterone groups. Categorical variables were compared using the chi-squared test and continuous variables using the Mann-Witney test; variables with significance (p<0,05) were analyzed by multivariable linear regression. RESULTS: The prevalence of TD was 26.36%. There was an association between TD and body mass index (BMI) (p=0.0007) but there was no association with age (p=0.0520), time of hypertension diagnosis (p=0.1418), number of classes of antihypertensive drugs (p=0.732), diabetes (p=0.1112); dyslipidemia (p=0.3888); CKD (p=0.3321); use of spironolactone (p=0.3546) or positive ADAM questionnaire (p=0.2483). CONCLUSIONS: TD was highly prevalent and positively associated with BMI. Total testosterone (TT) declined by 8.44ng/dL with a one unit increase in BMI and dropped by 3.79ng/dL with a one-year increase in age.

FUNDAMENTO: A deficiência de testosterona (DT) é uma condição prevalente em nosso meio e ainda muito negligenciada. A hipertensão arterial (HA) é um de seus possíveis fatores associados. OBJETIVOS: Determinar a prevalência de DT em uma população masculina hipertensa e os fatores associados à sua ocorrência, como idade, tempo de diagnóstico de HA, número de classes de anti-hipertensivos, índice de massa corporal (IMC), diabetes, dislipidemia, doença renal crônica (DRC), sintomas positivos de DT (questionário ADAM positivo) e uso de espironolactona. MÉTODOS: Estudo transversal com aplicação do questionário ADAM, e avaliação de dados bioquímicos, clínicos e antropométricos. Os pacientes foram estratificados em grupos de DT e testosterona normal. As variáveis categóricas foram comparadas pelo teste do qui-quadrado e as variáveis contínuas pelo teste de Mann-Witney; as variáveis com significância (p<0,05) foram submetidas à regressão linear multivariada. RESULTADOS: A prevalência de DT foi de 26,8%. Houve associação entre DT e IMC (p=0,0007), mas não houve com idade (p=0,0520), tempo de diagnóstico de HA (p=0,1418), número de classes de anti-hipertensivos (p=0,0732), diabetes (p=0,1112); dislipidemia (p=0,3888); presença de DRC (p=0,3321); uso de espironolactona (p=0,3546) e questionário ADAM positivo (p=0,2483). CONCLUSÕES: A prevalência de DT foi alta e houve associação positiva com IMC. A testosterona total (TT) declinou 8,44 ng/dL com o aumento de 1 kg/m2 no IMC e caiu 3,79 ng/dL com o avanço em um ano na idade.

Assessment of subclinical left ventricular systolic and diastolic dysfunction in patients with type 2 diabetes mellitus under follow-up at Tikur Anbessa specialized hospital, Ethiopia: a case-control study.

BACKGROUND: Individuals with diabetes mellitus are at increased risk of cardiovascular diseases, which in turn are the most common cause of morbidity and mortality in the diabetic population. A peculiar feature of cardiovascular diseases in this population is that they can have significant cardiac disease while remaining asymptomatic. There is a paucity of data regarding subclinical cardiac imaging features among diabetic adults in Africa, particularly in Ethiopia. This study was conducted to compare the magnitude and spectrum of left ventricular systolic and diastolic dysfunction among asymptomatic type 2 diabetic adults versus a normotensive, non-diabetic control group and to evaluate the determinants of left ventricular diastolic and systolic dysfunction. METHODS: This was a case-control study conducted at Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia. A standard transthoracic echocardiography was done for all study participants with type 2 diabetes mellitus and their normotensive and non-diabetic controls. Structured questionnaires were used to collect demographic and clinical characteristics and laboratory test results. Statistical analysis was done using the SPSS 25.0 software. The data was summarized using descriptive statistics. Bivariate and multivariate analysis was performed to determine the association between variables and echocardiographic parameters. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals, with significant differences taken at p < 0.05. RESULTS: We analyzed age- and sex-matched 100 participants in the study (diabetic) group and 200 individuals in the control group. Left ventricular systolic and diastolic dysfunction were significantly more prevalent among diabetic adults than their sex and age matched controls. Among diabetic individuals, ages of 60 years and above, dyslipidemia, use of Metformin and Glibenclamide, high serum triglyceride level, presence of neuropathy and use of statins correlated significantly with the presence of left ventricular diastolic dysfunction. Chronic kidney disease and neuropathy were determinants of left ventricular systolic dysfunction. CONCLUSION: Left ventricular systolic and diastolic dysfunction were significantly more prevalent among diabetic patients than their sex- and age-matched controls in our study. We recommend early screening for subclinical left ventricular dysfunction, especially in the elderly and in those with chronic kidney disease, dyslipidemia, and microvascular complications such as neuropathy.

Prevalence of dyslipidaemia within Polish nurses. Cross-sectional study - single and multiple linear regression models and ROC analysis.

BACKGROUND: Maintaining good health is vital not only for own well-being, but also to ensure high-quality patient care. The aim of this study was to evaluate the prevalence of dyslipidaemia and to determine the factors responsible for the development of this disorder among Polish nurses. Lipid profile disorders are the most prevalent and challenging risk factors for the development of cardiovascular disease. Nurses have significant potential and play a crucial role in providing care and treatment services. METHODS: This cross-sectional study involved nurses and included measurements of body weight composition (Tanita MC-980), body mass index, waist circumference, blood pressure (Welch Allyn 4200B), lipid profile, and fasting blood glucose (CardioChek PA). RESULTS: The results revealed that more than half of the nurses (60.09%) were overweight or obese, with 57.28% exhibiting elevated blood pressure, 32.25% having fasting glucose levels, and 69.14% experiencing dyslipidaemia. Multiple model evaluation using ROC curves demonstrated that multiple models accurately predicted hypercholesterolemia (AUC = 0.715), elevated LDL (AUC = 0.727), and elevated TC (AUC = 0.723) among Polish nurses. CONCLUSION: Comprehensive education programmes should be implemented that include the latest advances in cardiovascular disease prevention. Regular check-ups, as well as the promotion and availability of healthy food in hospital canteens, are essential.

Cardiovascular risk and inflammation in a population with autoimmune diseases: a narrative review.

Juvenile Systemic Connective Tissue Diseases (JSCTD) are a heterogeneous group of chronic autoimmune diseases, associated with dyslipidemia and increased cardiovascular risk are related. Studies from the last 10 years, from 2013 to 2022, on lipid profiles in JSCTD were collected. Different studies on lipid profiles in children affected by JSCTD were selected, because the aim is to analyze the cardiovascular risk and the possibility of atherosclerosis in these patients in whom, sometimes, corticosteroid therapies and immunosuppressants increase the state of dyslipidemia. Several studies have shown that autoimmune diseases with an inflammatory substrate also share abnormalities in lipid profile and increased cardiovascular risk. Specifically, associations have been found between Juvenile Systemic Connective Tissue Diseases and elevated triglycerides, TC-C (Total Cholesterol), LDL-C (Low-Density Lipoprotein), low HDL-C (High-Density Lipoprotein), and increased risk of developing diseases such as myocardial infarction, peripheral vascular disease, pulmonary and arterial hypertension, and atrial fibrillation. Supplementation with alpha-linolenic acid (ALA) on the other hand has also been analyzed with positive results in reducing inflammatory parameters, such as IL-6 (Interleukin-6), CRP (C-reactive protein), and fasting glucose, in subjects with dyslipidemia. These observations suggest that supplementation with ALA, an omega-3 precursor, may positively modulate both the inflammatory status and dyslipidemic conditions in patients with autoimmune disorders.

Epidemiology and Prevalence of Dyslipidemia Among Adult Population of Tehran: The Tehran Cohort Study.

BACKGROUND: Dyslipidemia is among the leading risk factors for cardiovascular diseases (CVDs), with an increasing global burden, especially in developing countries. We investigated the prevalence of dyslipidemia and abnormal lipid profiles in Tehran. METHODS: We used data from 8072 individuals aged≥35 from the Tehran Cohort Study (TeCS) recruitment phase. Fasting serum total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and triglyceride were measured. Dyslipidemia was defined according to the National Cholesterol Education Program Adult Treatment Panel III criteria, and high LDL/HDL was defined as a ratio>2.5. The age-sex standardized prevalence rates were calculated based on the 2016 national census. Furthermore, the geographical distribution of dyslipidemia and lipid abnormalities was investigated across Tehran's zip code districts. RESULTS: The age-sex standardized prevalence was 82.7% (95% CI: 80.1%, 85.0%) for dyslipidemia, 36.9% (95% CI: 33.8%, 40.1%) for hypertriglyceridemia, 22.5% (95% CI: 19.9%, 25.4%) for hypercholesterolemia, 29.0% (95% CI: 26.1%, 32.1%) for high LDL-C, 55.9% (95% CI: 52.6%, 59.2%) for low HDL-C, and 54.1% (95% CI: 50.9%, 57.3%) for high LDL/HDL ratio in the Tehran adult population. The prevalence of dyslipidemia, low HDL-C, and high LDL/HDL ratio was higher in the northern regions, hypercholesterolemia was higher in the southern half, and high LDL-C was more prevalent in the middle-northern and southern areas of Tehran. CONCLUSION: We found a high prevalence of dyslipidemia, mainly high LDL/HDL in the Tehran adult population. This dyslipidemia profiling provides important information for public health policy to improve preventive interventions and reduce dyslipidemiarelated morbidity and mortality in the future.

Dyslipidemia and associated factors among adult cardiac patients: a hospital-based comparative cross-sectional study.

BACKGROUND: Atherosclerotic vascular diseases are a leading global cause of morbidity and mortality. Dyslipidemia, a major modifiable risk factor for cardiovascular disease, remains poorly understood among adult cardiac patients in in the study area. This study aims to determine the prevalence of dyslipidemia and identify associated factors in this population. METHODS: Hospital-based comparative cross-sectional study was conducted from May to August 2021. A total of 319 participants (153 cardiac cases, 166 healthy controls, aged ≥ 18) were included in the study. Socio-demographic, anthropometric, behavioral, and clinical data were collected using the WHO STEPS survey instrument through systematic sampling. Overnight fasting blood samples were obtained, and serum lipid profiles were analyzed using a COBAS 6000 analyzer. Data were analyzed with SPSS version 20.0, employing bivariable and multivariable logistic regression. Statistical significance was set at p < 0.05. RESULTS: The overall prevalence of dyslipidemia, encompassing at least one lipid abnormality, was 80.3% among 256 participants. Among cardiac cases, the prevalence rates were as follows: 72.5% for low HDL-cholesterol, 12.4% for hypercholesterolemia, 9.8% for elevated LDL-cholesterol, and 30.1% for hypertriglyceridemia. In controls, corresponding rates were 69.9%, 9.6%, 7.2%, and 32.5%. Significant factors linked to low HDL- cholesterol were female gender (AOR: 2.8, 95% CI 1.7-4.7) and obesity (AOR: 2.8, 95% CI 1.1-7.5). Abdominal obesity was associated with hypercholesterolemia (AOR: 5.2, 95% CI 1.9-14.3) and elevated LDL-cholesterol (AOR: 5.1, 95% CI 1.6-15.8). High blood pressure, overweight, and abdominal obesity were significantly linked to hypertriglyceridemia (p < 0.05). CONCLUSION: Dyslipidemia was high among the study participants. Overweight, obesity, central adiposity, and high blood pressure were significantly associated with dyslipidemia in cardiac patients. This alarms the need for lipid profile assessment for patients periodically, with treatment follow-up to monitor any rising patterns and cardiovascular-related risks.

What is the relationship between the local population change and cancer incidence in patients with dyslipidemia: Evidence of the impact of local extinction in Korea.

BACKGROUND: Changes in the local population are intricately linked to healthcare infrastructure, which subsequently impacts the healthcare sector. A decreasing local population can result in lagging health infrastructure, potentially leading to adverse health outcomes as patients may be at risk of not receiving optimal care and treatment. While some studies have explored the relationship between chronic diseases and local population decline, evidence regarding cancer is insufficient. In this study, we focused on how deteriorating management of chronic diseases such as dyslipidemia could influence the risk of cancer. We investigated the relationship between changes in the local population and cancer incidence among patients with dyslipidemia. METHODS: This cohort study was conducted using claims data. Data from adult patients with dyslipidemia from the National Health Insurance Service-National Sample Cohort conducted between 2002 and 2015 were included. Population changes in each region were obtained from the Korean Statistical Information Service and were used to link each individual's regional code. Cancer risk was the dependent variable, and Cox proportional hazards regression was used to estimate the target associations. RESULTS: Data from 336,883 patients with dyslipidemia were analyzed. Individuals who resided in areas with a decreasing population had a higher risk of cancer than those living in areas with an increasing population (decrease: hazard ratio (HR) = 1.06, 95% CI = 1.03-1.10; normal: HR = 1.05, 95% CI = 1.02-1.09). Participants living in regions with a low number of hospitals had a higher risk of cancer than those in regions with a higher number of hospitals (HR = 1.20, 95% CI = 1.12-1.29). CONCLUSION: Patients in regions where the population has declined are at a higher risk of cancer, highlighting the importance of managing medical problems caused by regional extinction. This could provide evidence for and useful insights into official policies on population decline and cancer risk.

Acute Myocardial Infarction in Women, a Study on Risk Factors, Angiographic Features and Outcomes.

BACKGROUND: Women with acute coronary syndrome are more likely to have cardiovascular disease risk factors and atypical symptoms as compared to men. In Nepal, there is a rising trend of Coronary Artery Disease and myocardial infarction in women. However, research on acute myocardial infarction in women is lacking. The aim of this study was to study the cardiac risk factors, clinical features, angiographic features, and outcome of acute myocardial infarction in Nepalese women admitted to Hospital. METHODS: This was a cross sectional study done at Shahid Gangalal National Heart Center Kathmandu from September 2016 to March 2017. Female patients admitted with a diagnosis of acute ST-segment elevation myocardial infarction or non-ST segment elevation myocardial infarction, who fulfilled the inclusion criteria were included in the study. The details of the patients, demographic profile, major clinical symptoms, major coronary artery disease risk factors, angiographic features and outcomes were recorded and assessed during the study period. Coronary angiography was done in 112 patients out of 178 patients. RESULTS: Out of 178 patients, 85.95 % had ST-segment elevation myocardial infarction and 14.05% had non-ST segment elevation myocardial infarction. The mean patient age was 62.53 ± 12.1. 26.4% patients were of age less than 55 years. Major risk factors were central obesity (94.61%), dyslipidemia due to low HDL (78.65%). hypertension (54.49%), smoking (54.49%) and type 2 diabetes (34.83%). The most common atypical symptoms were shortness of breath (35.39 %,) , nausea and vomiting (23. 6%) and epigastric pain (6.74%), Single vessel disease was found in 36%; double vessel disease in 26.3% and triple vessel disease in 28.9% of patients. The primary outcome of in- hospital mortality was 3.37 %. CONCLUSIONS: Our study showed that significant number of females had Coronary Artery Disease at early age. Among women with myocardial infarction in Nepal, obesity due to high waist to hip ratio was the most common risk factor followed by dyslipidemia due to low high density lipoproteins, smoking, hypertension, and diabetes. Atypical symptoms were also common findings. Single vessel disease was the most common lesion and left anterior descending artery was the most commonly involved vessel. Mortality was seen in ST-segment elevation myocardial infarction patients only.

Serum Uric Acid and Serum Lipid Levels in Patients with Acute Ischemic Stroke Admitted in Mymensingh Medical College Hospital.

Stroke is the second-leading cause of death and also a leading cause of combined death and disability. In Bangladesh, stroke prevalence is 11.39 per 1000 population, but highest prevalence of stroke is 14.71 per 1000 population in the Mymensingh division. Hyperuricemia has been reported as an independent risk factor for stroke in different studies and a significant association between serum uric acid and dyslipidemia has also been stated. On the contrary, some studies suggest that uric acid has a neuroprotective role. This cross-sectional study was completed in the Medicine Department of Mymensingh Medical College Hospital, Mymensingh, Bangladesh from March 2021 to January 2023. In this cross-sectional study, 352 adult acute ischemic stroke patients were included from the Medicine Department of Mymensingh Medical College Hospital. Serum uric acid and fasting serum lipid levels were measured within 48 hours of admission. The mean age ±SD of the respondents was 61.9±12.8 years. Hyperuricemia was found among 18.2% of respondents, whose mean ±SD serum uric acid was 5.7±1.9 mg/dl. Dyslipidemia was present in 88.4% of patients. The mean ±SD of the National Institutes of Health Stroke Scale (NIHSS) score was 12.0±5.9. Most of the patients (65.6%) were suffering from moderate stroke, followed by moderate to severe stroke (15.1%), severe stroke (10.8%) and minor stroke (8.5%). After multiple linear regressions, the independent variables age, gender, serum uric acid and total cholesterol were found to be significant predictors of the NIHSS score of the respondents. In conclusion, the majority of acute ischemic stroke patients have an association with dyslipidemia, but only around one-fifth of patients have hyperuricemia. There is a significant association of high serum uric acid and high serum total cholesterol with stroke severity (NIHSS score). But low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and, triglycerides have no association with stroke severity.

Metabolic causes of liver disease among adults living with HIV from low- and middle-income countries: a cross-sectional study.

INTRODUCTION: Liver disease is a leading cause of morbidity and mortality among persons living with HIV (PLHIV). While chronic viral hepatitis has been extensively studied in low- and middle-income countries (LMICs), there is limited information about the burden of metabolic disorders on liver disease in PLHIV. METHODS: We conducted a cross-sectional analysis of baseline data collected between October 2020 and July 2022 from the IeDEA-Sentinel Research Network, a prospective cohort enrolling PLHIV ≥40 years on antiretroviral treatment (ART) for ≥6 months from eight clinics in Asia, Americas, and central, East, southern and West Africa. Clinical assessments, laboratory testing on fasting blood samples and liver stiffness measurement (LSM)/controlled attenuation parameter (CAP) by vibration-controlled transient elastography were performed. Multivariable logistic regression models assessed factors associated with liver fibrosis (LSM ≥7.1 kPa) and steatosis (CAP ≥248 dB/m). Population attributable fraction (PAF) of each variable associated with significant liver fibrosis was estimated using Levin's formula. RESULTS: Overall, 2120 PLHIV (56% female, median age 50 [interquartile range: 45-56] years) were included. The prevalence of obesity was 19%, 12% had type 2 diabetes mellitus (T2DM), 29% had hypertension and 53% had dyslipidaemia. The overall prevalence of liver fibrosis and steatosis was 7.6% (95% confidence interval [CI] 6.1-8.4) and 28.4% (95% CI 26.5-30.7), respectively, with regional variability. Male sex at birth (odds ratio [OR] 1.62, CI 1.10-2.40), overweight/obesity (OR = 2.50, 95% CI 1.69-3.75), T2DM (OR 2.26, 95% CI 1.46-3.47) and prolonged exposure to didanosine (OR 3.13, 95% CI 1.46-6.49) were associated with liver fibrosis. Overweight/obesity and T2DM accounted for 42% and 11% of the PAF for liver fibrosis, while HBsAg and anti-HCV accounted for 3% and 1%, respectively. Factors associated with steatosis included overweight/obesity (OR 4.25, 95% CI 3.29-5.51), T2DM (OR 2.06, 95% CI 1.47-2.88), prolonged exposure to stavudine (OR 1.69, 95% CI 1.27-2.26) and dyslipidaemia (OR 1.68, 95% CI 1.31-2.16). CONCLUSIONS: Metabolic disorders were significant risk factors for liver disease among PLHIV in LMICs. Early recognition of metabolic disorders risk factors might be helpful to guide clinical and lifestyle interventions. Further prospective studies are needed to determine the causative natures of these findings.

Differential management and associations of dyslipidaemia and hypertension by glycaemic status in urban South Africans.

BACKGROUND: Dyslipidaemia and hypertension care have not been reported in large samples of community-based participants with known diabetes (KD) nor compared with individuals at high risk for diabetes. OBJECTIVES: To describe the management and associations of dyslipidaemia and hypertension in adults with KD, newly diagnosed diabetes (NDD) and normoglycaemia. METHODS: This urban population-based cross-sectional study comprised participants with KD, NDD and normoglycaemia. Participants at high risk for diabetes but without KD underwent oral glucose tolerance tests; those who were subsequently classified as NDD or normoglycaemic were included in this study. Data collection comprised administered questionnaires, clinical measurements and biochemical analyses. Multivariable logistic regressions determined the associations with hypertension and dyslipidaemia management in separate models. RESULTS: Among 618 participants (82% women), aged median 58 years, there were 339 participants with KD, 70 with NDD and 209 with normoglycaemia. Prevalence of hypertension (BP ≥140/90 mmHg or on treatment) and dyslipidaemia (raised low-density lipoprotein cholesterol >3 mmol/L or on treatment) was highest in KD (89% and 83%) compared with NDD (64% and 74%) and normoglycaemia (66% for both) (p<0.001). Detected or known hypertension was highest in KD (97.4%), followed by NDD (88.9%) and normoglycaemia (80.3%). Among participants with known or detected hypertension, those with KD were most likely to be treated (90.2%) compared with NDD (77.5%) and normoglycaemia (74.5.%). Hypertension control among participants on treatment was highest in KD (69.5%) compared with NDD (51.6%) and normoglycaemia (61.0%). Participants with KD had significantly higher rates of previously detected dyslipidaemia (85.1%) compared with NDD (36.5%) and normoglycaemia (35.5%). KD participants were also more likely to be treated for their previously detected dyslipidaemia (85.4%) and to be controlled when on treatment (56.3%) compared with their counterparts (NDD: 63.2% and 33.3%, normoglycaemia: 61.2% and 43.3%, respectively). Diabetes control was poor; only 20% of those with KD had HbA1c <7%. In the regression models, compared with normoglycaemia, KD was associated with hypertension detection (odds ratio (OR) 6.91, 95% confidence interval (CI) 2.25 - 21.22) and control (OR 2.05, 95% CI 1.04 - 4.02). KD compared with normoglycaemia was associated with dyslipidaemia detection (OR 10.29, 95% CI 5.21 - 20.32) and treatment (OR 3.94, 95% CI 1.68 - 9.27). Sociodemographic and cardiovascular disease risk factors were generally not associated with hypertension or dyslipidaemia management. CONCLUSION: Albeit that diabetes control was poor and required better management, dyslipidaemia and hypertension prevalence were higher and better managed in KD than NDD and normoglycaemia. Different approaches are required to improve glucose control in KD, better identify NDD and monitor and prevent diabetes in high-risk individuals. Also important would be to improve care of hypertension and dyslipidaemia in those without KD.

Prevalence and management of dyslipidemia in primary care practices in Canada.

OBJECTIVE: To estimate the prevalence of dyslipidemia and to describe its management in Canadian primary care. DESIGN: Retrospective cohort study using primary care electronic medical record data. SETTING: Canada. PARTICIPANTS: Adults aged 40 years or older who saw a Canadian Primary Care Sentinel Surveillance Network contributor between January 1, 2018, and December 31, 2019. MAIN OUTCOME MEASURES: Presence or absence of dyslipidemia as identified by a validated case definition and the treatment status of patients identified as having dyslipidemia based on having been prescribed a lipid-lowering agent (LLA). RESULTS: In total, 50.0% of the 773,081 patients 40 years of age or older who had had a primary care visit in 2018 or 2019 were identified as having dyslipidemia. Dyslipidemia was more prevalent in patients 65 or older (61.5%), in males (56.7%) versus females (44.7%), and in those living in urban areas (50.0%) versus rural areas (45.2%). In patients with documented dyslipidemia, 42.8% had evidence of treatment with an LLA. Stratifying patients by Framingham risk score revealed that those in the high-risk category were more likely to have been prescribed an LLA (65.0%) compared with those in the intermediate-risk group (48.7%) or the low-risk group (22.8%). The strongest determinants of receiving LLA treatment for dyslipidemia include sex, with males being 1.95 times more likely to have been treated compared with females (95% CI 1.91 to 1.98; P<.0001); and body mass index, with those with obesity having a significantly increased likelihood of being treated with an LLA (adjusted odds ratio of 1.36, 95% CI 1.32 to 1.41; P<.0001). CONCLUSION: This study provides an updated look at the prevalence and treatment of dyslipidemia among Canadians. Half of patients aged 40 years or older have dyslipidemia, with an even higher prevalence observed among adults aged 65 years or older, males, and those with obesity or other chronic conditions. There are still gaps in treatment among those with documented dyslipidemia, principally among those calculated to have high or intermediate Framingham risk scores. Particular attention should also be paid to those at higher risk for not receiving treatment, including female patients and those within normal body mass index ranges.

Efficacy and Safety of Bariatric Surgery in Dutch People Living with HIV: a Retrospective Matched Cohort Analysis.

PURPOSE: Obesity is rising among people with HIV (PLWH), sparking interest in bariatric surgery (BS) for this group. Yet, large-scale comparative research on BS outcomes in PLWH is lacking. METHODS: We performed a retrospective, matched cohort analysis in PLWH and HIV uninfected controls. Subjects were retrieved from the Dutch Audit for Treatment of Obesity (DATO) registry. Matching (1:7 ratio) included age (± 5-years), sex, body-mass index (BMI) of ± 3 kg/m2, surgery type, and associated health problems (AHPs) at baseline. The primary endpoint was total weight loss percentage (%TWL) ≥ 20% achieved at 1-year post-BS. Secondary endpoints were cumulative %TWL achieved at 2-years post-BS, a reported remission or improvement in AHPs post-BS, and surgical complications, both at 1-year post-BS. Comparisons were performed using conditional logistic regression. RESULTS: Twenty-seven PLWH and 168 controls were included. At 1-year post-BS, 89% PLWH achieved ≥ 20%TWL, compared to 94% of controls (p = 0.4). Cumulative %TWL at 2-years post-BS were 82% and 92% in PLWH and controls, respectively (p = 0.2). Improvement rates in hypertension and type 2 diabetes mellitus were 50% and 86% in PLWH, versus 87% and 87% in controls. Full remission occurred in 20% and 71% of PLHIV, versus 49% and 44% of controls, respectively. No improvement or remission was observed for dyslipidaemia in PLHIV compared to 54% improvement and 29% remission in controls. Surgical complications were 0% in PLHIV and 13% (n = 21) in controls. CONCLUSION: Efficacy and safety outcomes of BS were similar between PLWH and controls except for the lack of improvement in dyslipidaemia in PLWH.

Intensity of statin therapy and primary prevention of cardiovascular in Korean patients with dyslipidemia.

This study aimed to investigate the association between the intensity of statin therapy and the development of cardiovascular disease (CVD) and diabetes in individuals without prior diabetes who were being treated for dyslipidemia with statins for the primary prevention of CVD, using the National Health Insurance Service-Health Screening database. The database is a longitudinal cohort study of Korean men and women 40 years of age or older who underwent comprehensive biannual screening health examinations by Korean National Health Insurance Service from January 1, 2002, to December 31, 2015. We included patients in the health screening checkup cohort who underwent health checkups in 2009 and 2010.The primary outcome was the occurrence of a first major cardiovascular or cerebrovascular event, new-onset diabetes. A total of 20,322 participants without prior diabetes at baseline from 2009 to 2015 were followed up for a mean duration of 81.2 ±â€…6.6 months. The mean age of all participants at baseline was 59.2 ±â€…8.4 years and 43.0% of them were male. Their index low lipoprotein cholesterol level was 130.4 ±â€…mg/dL, the mean duration of taking statins was 337.4 ±â€…52.3 days, and 93.9% of them had been taking moderate-intensity statins. At that time, a total of 641 diabetes cases occurred, 41 from using low-intensity statins, 588 from moderate-intensity statins, and 11 from high-intensity statins. The results indicated no significant differences in the incidence of death, CVD death, or CVD among those in the strong statin group compared with the reference groups. While statin treatment for the primary prevention of CVD in patients with dyslipidemia showed a subtle difference in the incidence of diabetes, there was no difference in the occurrence of CVD or CVD death according to statin intensity.

Associations of polychlorinated biphenyls exposure, lifestyle, and genetic susceptibility with dyslipidemias: Evidence from a general Chinese population.

Polychlorinated biphenyls (PCBs) are endocrine-disrupting chemicals that have been associated with various adverse health conditions. Herein we explored the associations of PCBs with dyslipidemia and further assessed the modification effect of genetic susceptibility and lifestyle factors. Six serum PCBs (PCB-28, 101, 118, 138, 153, 180) were determined in 3845 participants from the Wuhan-Zhuhai cohort. Dyslipidemia, including hyper-total cholesterol (HyperTC), hyper-triglyceride (HyperTG), hyper-low density lipoprotein cholesterol (HyperLDL-C), and hypo-high density lipoprotein cholesterol (HypoHDL-C) were determined, and lipid-specific polygenic risk scores (PRS) and healthy lifestyle score were constructed. We found that all six PCB congeners were positively associated with the prevalence of dyslipidemias, and ΣPCB level was associated with HyperTC, HyperTG, and HyperLDL-C in dose-response manners. Compared with the lowest tertiles of ΣPCB, the odds ratios (95% confidence intervals) in the highest tertiles were 1.490 (1.258, 1.765) for HyperTC, 1.957 (1.623, 2.365) for HyperTG, and 1.569 (1.316, 1.873) for HyperLDL-C, respectively. Compared with those with low ΣPCB, healthy lifestyle, and low genetic risk, participants with high ΣPCB, unfavorable lifestyle, and high genetic risk had the highest odds of HyperTC, HyperTG, and HyperLDL-C. Our study provided evidence that high PCB exposure exacerbated the association of genetic risk and unhealthy lifestyle with dyslipidemia.

Associations of dietary iron intake with cardiovascular disease risk and dyslipidemia among Chinese adults.

BACKGROUND: Whether iron intake can affect cardiovascular disease (CVD) and dyslipidemia is controversial. However, few studies have focused on reducing the risk of CVD in people at risk for dyslipidemia. This study explored the linear relationship and possible nonlinear relationship between CVD and dyslipidemia. METHODS: Dietary data were obtained from the China Health and Nutrition Survey between 2004 and 2015. The survey included 8173 participants older than 18 years. CVD risk was estimated by the Framingham risk score (FRS). Logistic regression analysis was used to determine whether iron intake affects CVD incidence and lipid profiles. The nonlinear association was tested with restricted cubic splines (RCSs). RESULTS: For males, higher total iron intake [the fifth quintile (Q) vs. Q1 odds ratio (OR): 0.335, 95% confidence interval (CI): 0.248-0.453], heme iron intake (OR: 0.679, 95% CI: 0.492-0.937) and non-heme iron intake (OR: 0.362, 95% CI: 0.266-0.492) reduced CVD incidence. Heme iron intake increased high low-density lipoprotein cholesterol (LDL-C) (OR: 1.786, 95% CI: 1.226-2.602), high total cholesterol (TC) (OR: 2.404, 95% CI: 1.575-3.669), high triglyceride (TG) (OR: 1.895, 95% CI: 1.423-2.523), and low apolipoprotein A1/apolipoprotein B (ApoA-1/ApoB) risk (OR: 1.514, 95% CI: 1.178-1.945). Moderate non-heme iron intake reduced high-density lipoprotein cholesterol (HDL-C) incidence (Q5 vs. Q1 OR: 0.704, 95% CI: 0.507-0.979). For females, higher total iron intake (Q5 vs. Q1 OR: 0.362, 95% CI: 0.266-0.492) and non-heme iron intake (OR: 0.347, 95% CI: 0.154-0.781) reduced CVD incidence. Heme iron intake increased high LDL-C (OR: 1.587, 95% CI: 1.160-2.170) and high TC incidence (OR: 1.655, 95% CI: 1.187-2.309). CONCLUSIONS: Men, especially those at risk of developing dyslipidemia, should consume non-heme rather than heme iron to reduce CVD incidence. For women, increased heme iron intake did not reduce CVD incidence. Therefore, women should minimize their heme iron intake to prevent dyslipidemia.

[Association between unhealthy lifestyles and hypertension, diabetes and dyslipidemia in old adults in China].

Objective: To analyze the individual and cumulative effects of unhealthy lifestyle on the prevalence of hypertension, diabetes and dyslipidemia in old adults in China, and find out the critical lifestyle in the network. Methods: Based on the baseline data of Yunnan Behavior and Disease Surveillance Cohort in 2021, a total of 16 763 older adults aged ≥60 years were included in our study. The unhealthy lifestyle factors including smoking, drinking, unhealthy eating habit, lower physical activity level, abnormal BMI and abnormal waist circumference. We calculated the unhealthy lifestyle score by using the cumulative exposures of each participant. Multiple logistic regression and mixed graphical models were used to describe the association between unhealthy lifestyle and the prevalence of hypertension, diabetes and dyslipidemia. Results: The prevalence of hypertension, diabetes and dyslipidemia were 57.0%, 11.5% and 37.0%, respectively. Most of the unhealthy lifestyles included in the study were risk factors for hypertension, diabetes and dyslipidemia, and the risks of disease increased with the increase of the unhealthy lifestyle score. The participants with the highest score (score: 6) had significantly higher prevalence of hypertension (OR=3.99, 95%CI: 1.81-8.80), diabetes (OR=4.64, 95%CI: 1.64-13.15) and dyslipidemia (OR=4.26, 95%CI: 2.08-8.73) compared with those with lowest score (score: 0). In the network constructed by mixed graphical model, abnormal waist circumference (bridge strength=0.81) and hypertension (bridge strength=0.55) were vital bridge nodes connecting unhealthy lifestyle and hypertension, diabetes and dyslipidemia. Conclusions: The unhealthy lifestyle score was associated with risks for hypertension, diabetes and dyslipidemia. Abnormal waist circumference was the key factor for chronic diseases in old adults.

[Association between unhealthy lifestyles and hyperuricemia in occupational population and modification effect of hypertension and dyslipidemia].

Objective: To understand the relationship between unhealthy lifestyle and hyperuricemia, as well as the modification effects of hypertension and dyslipidemia in occupational population and provide a theoretical basis for the prevention of hyperuricemia. Methods: A cross-sectional survey design was adopted, based on baseline data from the Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd., which included the population in 28 prefectures from Sichuan Province and Guizhou Province, and 33 districts (counties) from Chongqing Municipality between October and December 2021. This study collected the information about the demographics characteristics, lifestyles, and prevalence of chronic non-communicable diseases of the study subjects through questionnaire, physical measurement and laboratory biochemical test. The unhealthy lifestyle score was scored based on smoking, alcohol consumption, dietary patterns, physical activity, and low weight or overweight, with higher scores being associated with more unhealthy lifestyles. The multivariate logistic regression model was used to analyze the relationship between unhealthy lifestyle score, smoking, alcohol consumption, other factors and hyperuricemia, and the stratified analysis was used to explore the modification effect of hypertension and other diseases on the relationship between unhealthy lifestyle and hyperuricemia. Results: A total of 11 748 participants were included in this study, the prevalence of hyperuricemia was 34.4%. Multivariate logistic regression model showed that current/previous smoking, current/previous alcohol consumption and BMI abnormality were risk factors for hyperuricemia, and the unhealthy lifestyle score showed a "cumulative" effect on the risk for hyperuricemia, with higher score increasing the risk of hyperuricemia, and the OR increased from 1.64 (95%CI: 1.34-2.00) to 2.89 (95%CI: 2.39-3.50). Stratified analysis showed that unhealthy lifestyles had a greater impact on the risk for hyperuricemia in people with hypertension and dyslipidemia. Conclusions: The coexistence of multiple unhealthy lifestyles might increase the risk of hyperuricemia, and this effect was stronger in participants with hypertension and dyslipidemia. Timely correction of unhealthy lifestyles, and control of hypertension and dyslipidemia might reduce the risk for hyperuricemia.

[Association between unhealthy lifestyles and diabetic dyslipidemia in occupational population and network analysis].

Objective: To understand the influence of unhealthy lifestyle on diabetic dyslipidemia and the key influencing factors in occupational population and provided scientific evidence for the prevention of diabetic dyslipidemia. Methods: Based on baseline data and follow-up data of Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during 2021. Diabetic dyslipidemia was defined as diabetes plus one or more forms of dyslipidemia, and unhealthy lifestyle factors included smoking, alcohol consumption, unhealthy dietary patterns, low physical activity, and abnormal BMI. Multivariate logistic regression model was used to analyze the relationship between unhealthy lifestyle scores and diabetic dyslipidemia, network analysis was used to find and explore the key lifestyles influencing glycolipid metabolism. Results: A total of 25 631 subjects were included. People with unhealthy lifestyle score 2 and 3 were 1.93 (95%CI: 1.31-2.86) times and 2.37 (95%CI: 1.60-3.50) times more likely to have diabetes with ≥1 forms of dyslipidemia than those with scores of 0; People with unhealthy lifestyle score 1, 2 and 3 were 1.98 (95%CI: 1.08-3.61) times, 2.87 (95%CI: 1.60-5.14) times and 3.95 (95%CI: 2.22-7.06) times more likely to have diabetes with ≥2 forms of dyslipidemia than those with score 0. Network analysis found that abnormal BMI and HDL-C were the "bridge nodes" that link unhealthy lifestyles with diabetic dyslipidemia. Conclusion: The higher the score of unhealthy lifestyle, the higher the risk for diabetic dyslipidemia, abnormal BMI and HDL-C are key factors influencing the association between unhealthy lifestyle and diabetic dyslipidemia.

Dyslipidemia is associated with sarcopenia of the elderly: a meta-analysis.

PURPOSE: Sarcopenia is a pathological change characterized by muscle loss in older people. According to the reports, there is controversy on the relationship between dyslipidemia and sarcopenia. Therefore, this meta-analysis aimed to explore the association between sarcopenia and dyslipidemia. METHODS: We searched the Cochrane Library, Web of Science, PubMed, China National Knowledge Infrastructure (CNKI), Wan Fang, China Science and Technology Journal Database (VIP Database) for case‒control studies to extract data on the odds ratio (OR) between sarcopenia and dyslipidemia and the MD(mean difference) of TC, LDL-C, HDL-C, TG, and TG/HDL-C between sarcopenia and nonsarcopenia. The JBI(Joanna Briggs) guidelines were used to evaluate the quality. Excel 2021, Review Manager 5.3 and Stata 16.0 were used for the statistical analysis. RESULTS: Twenty studies were included in the meta-analysis, 19 of which were evaluated as good quality. The overall OR of the relationship between sarcopenia and dyslipidemia was 1.47, and the MD values of TC, LDL-C, HDL-C, TG, and TG/HDL-C were 1.10, 1.95, 1.27, 30.13, and 0.16 respectively. In female, compared with the non-sarcopnia, the MD of TC, LDL-C, HDL-C, TG of sarcopenia were - 1.67,2.21,1.02,-3.18 respectively. In male, the MD of TC, LDL-C, HDL-C, TG between sarcopenia and non-sarcopenia were - 0.51, 1.41, 5.77, -0.67. The OR between sarcopenia and dyslipidemia of the non-China region was 4.38, and it was 0.9 in China. In the group(> 60), MD of TC between sarcopenia and non-sarcopenia was 2.63, while it was 1.54 in the group(20-60). CONCLUSION: Dyslipidemia was associated with sarcopenia in the elderly, which was affected by sex, region and age.