Interaction Between Chronic Bronchitis and Blood Cadmium Levels on the Prevalence of Myocardial infarction in US adults

The interrelationships between cadmium biomarker levels, smoking, and myocardial infarction and stroke have been established. In this cross-sectional analysis, we explored the interrelationships of blood cadmium levels, smoking, and angina. We analyzed the National Health and Nutrition Examination Survey (NHANES, 2003–2014) accounting for the multi-staged complex sampling design. Participants 40–79 years of age with blood cadmium levels but without a history of myocardial infarction and/or stroke were included (n = 14,832). We examined blood cadmium levels (3 tertile groups) in relation to 3 (diagnosed, undiagnosed, and composite diagnosed and/or undiagnosed) angina outcomes. Multivariable logistic regression models adjusted for age, diabetes, smoking status, and household income were used to estimate odds ratios (ORs) and their corresponding 95% confidence intervals (CIs). Of 14,832 participants, 741 (4.2%) had positive composite angina. The crude and adjusted ORs comparing those in the lowest tertile (referent group) of blood cadmium to those in the highest tertile for the composite outcome were 1.82 (95% CI 1.42–2.34) and 1.45 (95% CI 1.12–1.88), respectively. These cross-sectional data from a nationally representative sample contribute to the hypothesis that there are interrelationships between smoking, cadmium, and angina.

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The Correlation Between Heavy Metal Cadmium and the Prevalence of Type 2 Diabetes Mellitus

Journal of Biomaterials and Tissue Engineering ◽

10.1166/jbt.2021.2550 ◽

2021 ◽

Vol 11 (2) ◽

pp. 339-343

Author(s):

Ling Hu ◽

Xiao-Ling Yin ◽

Ting Li

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Risk Factor ◽

Jiangxi Province ◽

Cluster Sampling ◽

Cadmium Content ◽

Blood Cadmium ◽

Blood Cadmium Levels

Objective: This study aims to analyze the blood cadmium level and prevalence of type 2 diabetes mellitus in the general population and explore the correlation between blood cadmium levels and the prevalence of type 2 diabetes mellitus. Methods: From February to December 2017, a multistage, random cluster sampling method was adopted to conduct this cross-sectional epidemiological survey of permanent residents aged >18 years in Nanchang, Jiangxi province (including one urban area, Changdong district and one county, Jinxing county). Blood cadmium levels and the prevalence of type 2 diabetes in the population were analyzed, and the correlation between blood cadmium levels and the incidence of type 2 diabetes was analyzed. Results: The average blood cadmium content of the population in Nanchang (Changdong town, Jinxian county) was 2.91 ± 0.08 ug/L, and the prevalence of type 2 diabetes was 9.2%. The average blood cadmium content of the population in Jinxian county was higher than that of the population of the Changdong district. The results of multivariate regression analysis indicate that high blood cadmium levels are a risk factor for type 2 diabetes. Conclusions: Elevated levels of cadmium in human blood may be a risk factor for type 2 diabetes.

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Prognosis of development of complications of cardiogenic shock and pulmonary edema in patients with myocardial infarction on background of obstructive pulmonary disease

Medical alphabet ◽

10.33667/2078-5631-2020-36-34-37 ◽

2021 ◽

pp. 34-37

Author(s):

B. Yu. Kuzmichev ◽

O. S. Polunina ◽

L. P. Voronina ◽

T. V. Prokofieva ◽

E. A. Polunina

Keyword(s):

Myocardial Infarction ◽

Mathematical Model ◽

Cardiogenic Shock ◽

Pulmonary Edema ◽

Chronic Bronchitis ◽

Pulmonary Disease ◽

Prognostic Significance ◽

Enzyme Linked Immunosorbent Assay ◽

Control Group ◽

Obstructive Pulmonary Disease

Objective. To create a personalized mathematical model of the development of complications – cardiogenic shock and pulmonary edema in patients with myocardial infarction (MI) with chronic obstructive pulmonary disease (COPD) depending of the homocysteine (HCY) level and the COPD phenotype.Materials and methods. The study included 88 patients with MI and COPD with various phenotypes: 25 patients with emphysematous phenotype, 22 patients with a mixed phenotype, 20 patients with chronic bronchitis phenotype, 21 patients with eosinophilia and bronchial asthma (BA). As a control group, 50 somatically healthy individuals were examined. Gender anamnestic, clinical, and laboratory – instrumental indicators were studied and analyzed to develop a predictive mathematical model. The level of HCY was determined by enzyme-linked immunosorbent assay in all patients.Results. It was found that in patients with MI and COPD with different COPD phenotypes, the level of HCY was statistically significantly higher than in the control group. The highest level of HCY was in patients with the chronic bronchitis phenotype and was 45 [14.1; 51.9] mmol/l, which was statistically significantly higher than in patients with the phenotype with eosinophilia and BA, with emphysematous and mixed phenotypes. Predictor factors were selected using the logit regression method from gender-anamnestic, clinical, and laboratory – instrumental indicators to create a mathematical model with the highest prediction accuracy. HCY level and COPD phenotype were predictors of the mathematical model for predicting the development of complications – cardiogenic shock and pulmonary edema in patients with MI and COPD. It was also found that the threshold value of HCY for predicting the development of cardiogenic shock and pulmonary edema in patients with MI and COPD was 0.82 ± 0.51 confidence interval [0.72–0.91] mmol/l (p < 0.001).Conclusion. The personalized mathematical model initiated for predicting the development of complications-cardiogenic shock and pulmonary edema in patients with MI and COPD, depending of the HCY level and the COPD phenotype, has a high sensitivity (85%) and prognostic significance (92%), which allows us to recommend it for use in clinical practice.

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