Hyperlipidemia and Cardiovascular Disease in People with Type 1 Diabetes: Review of Current Guidelines and Evidence

Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China

BACKGROUND

Primary healthcare (PHC) plays a key role in hyperlipidemia (HL) management yet lacks adequate monitoring and feedback. This study aims at identifying pragmatic measures out from routinely collected electronic records to enable automatic monitoring and inform continuous optimization of HL-management at PHC settings.

METHODS

The study used randomly selected electronic records of PHC (from the province-wide data center of Anhui-province, China) as the main data source and generated both procedure-based and encounter-based measures for assessing HL-management. The procedure-based measures were derived from specific quality-facts of 21 stages/procedures (e.g., lipid lowering medication prescription) using self-designed algorithms. While the encounter-based measures included number or rate of visits for HL, currently-noticed hyperlipidemia (CNHL, or HL noticed during the current consultation), and ever-diagnosed hyperlipidemia (EDHL). Analysis of these measures employed mainly simple descriptives and linear regression modeling.

RESULTS

The study revealed interesting findings including: low and varied rates of visits for HL(from 0.01 to 1.43%) and visits by patients with EDHL/CNHL(from 0.13 to 20.54% or from 0.02 to 2.99%) between regions; large differences (5.14 to 22.20 times) between the mean or cumulative proportions of visits by patients with EDHL versus CNHL among clinician groups; consistent increase in the ratio of visits for HL in all cause visits over the study period (from 0.087 to 1.000%) accompanied with relatively stable proportions of patients with CNHL/EDHL; Relatively low scores in the procedure-based measures (ranged from 0.00 to 36.08% for specific procedures by seasons).

CONCLUSIONS

The measures identified are not only feasible from real-world PHC records but also give some useful metrics about how well current HL-management is going and what future actions are needed.

The causal relationship between bacterial pneumonia and diabetes: a two-sample mendelian randomization study

BACKGROUND

Previous observational studies have established the high prevalence of bacterial pneumonia in diabetic patients, which in turn leads to increased mortality. However, the presence of a causal connection between bacterial pneumonia and diabetes remains unobserved.

METHODS

We chose genome-wide significant (Ρ < 1 × 10-5 and Ρ < 1 × 10-6) and independent (r2 < 0.001) single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) to proceed a bidirectional two-sample MR study. The extracted SNPs explored the relationship between bacterial pneumonia and diabetes by Inverse variance weighted (IVW), MR-Egger, and weighted median methods. In addition, we conducted the Heterogeneity test, the Pleiotropy test, MR-presso and the Leave-one-out (LOO) sensitivity test to validate the reliability of results.

RESULTS

In an MR study with bacterial pneumonia as an exposure factor, four different types of diabetes as outcome. It was observed that bacterial pneumonia increases the incidence of GDM (OR = 1.150 (1.027-1.274, P = 0.011) and T1DM (OR = 1.277 (1.024-1.531), P = 0.016). In the reverse MR analysis, it was observed that GDM (OR = 1.112 (1.023-1.201, P = 0.009) is associated with an elevated risk of bacterial pneumonia. However, no significant association was observed bacterial pneumonia with T1DM and other types of diabetes (P > 0.05).

CONCLUSION

This study utilizing MR methodology yields robust evidence supporting a bidirectional causal association between bacterial pneumonia and GDM. Furthermore, our findings suggest a plausible causal link between bacterial pneumonia and T1DM.

Assessment of arterial stiffness in paediatric patients with type 1 diabetes mellitus

AIMS

To investigate early indicators of cardiovascular disease (CVD) in children and adolescents with type 1 diabetes mellitus (T1DM), focusing on pulse wave velocity (PWV) and its associations with various anthropometric and glycemic parameters.

PATIENTS AND METHODS

A total of 124 children and adolescents with T1D (mean age 10.75 ± 3.57 years) were included in this cross-sectional study. Anthropometric data, including height, weight, body mass index (BMI), glycemic parameters, such as HbA1c and time in range (TIR) were assessed. PWV was assessed by oscillometric method using the Mobil-O-Graph PWA device. Univariate and multivariate linear regression were used to explore the association of PWV z-score with anthropometric, demographic, and glycaemic variables.

RESULTS

Significant negative association between PWV and age and height (β = -0.336, 95 % CI -0.44 to -0.25, p < 0.001 and β = -0.491, 95 % CI -0.62 to -0.36, p < 0.001, respectively), while gender showed a significant positive association with PWV, with females displaying higher PWV values compared to males (β = 0.366, 95 % CI 0.17 to 0.56, p < 0.001). TIR was positively associated with PWV (β = 0.092, 95 % CI 0.01 to 0.16, p = 0.017 only for patients having TIR ≤ 50 %. Finally, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were positively associated with PWV (β = 0.086, 95 % CI 0.02 to 0.14, p = 0.007 and β = 0.152, 95 % CI 0.07 to 0.23, p < 0.001, respectively).

CONCLUSION

Youth with T1DM who spend <50 % of time in range exhibit uniquely increased signs of arterial stiffness, indicating that poor glycemic control may contribute to early vascular damage. Differences related to age, gender and height should be considered.