Overview of Meta-Analyses: The Impact of Dietary Lifestyle on Stroke Risk

Abdominal Aortic Screening Is a Priority for Health in Smoker Males: A Study on Central Italian Population

Abdominal aortic aneurysm (AAA) is a major public health problem. In the last decade, in some European countries, abdominal aortic screening (AAS) is emerging as a potential prevention for the rupture of AAA. The goals of our study were to estimate AAA prevalence and risk factors in males and females in a central Italian population, also defining the cost-effectiveness of AAS programs. A pilot study screening was conducted between 1 January 2015 and 31 December 2019 in the municipality of Teramo (Abruzzo Region, Italy) in a group of men and women, ranging from the age of 65 to 79, who were not previously operated on for AAA. The ultrasound was performed by means of Acuson sequoia 512 Simens with a Convex probe. The anterior posterior of the infra-renal aorta was evaluated. The odds ratio values (ORs) were used to evaluate the risk of AAA, and the following determinants were taken into consideration: gender, smoke use, hypertension, and ischemic heart disease. We also estimated the direct costs coming from aneurysmectomy (surgical repair or endovascular aneurysms repair-EVAR). A total of 62 AAA (2.7%, mean age 73.8 ± 4.0) were diagnosed, of which 57 were in men (3.7%, mean age 73.6 ± 4.0) and 5 were in women (0.7%, mean age 74.3 ± 4.1). Male gender and smoke use are more important risk factors for AAA ≥ 3 cm, respectively: OR = 5.94 (2.37-14.99, p < 0.001) and OR = 5.21 (2.63-10.30, p < 0.000). A significant increase in OR was noted for AAA ≥ 3 cm and cardiac arrhythmia and ischemic heart disease, respectively: OR = 2.81 (1.53-5.15, p < 0.000) and OR = 2.76 (1.40-5.43, p = 0.006). Regarding the cost analysis, it appears that screening has contributed to the reduction in costs related to urgency. In fact, the synthetic indicator given by the ratio between the DRGs (disease related group) relating to the emergency and those of the elective activity went from 1.69 in the year prior to the activation of the screening to a median of 0.39 for the five-year period of activation of the screening. It is important to underline that the results of our work confirm that the screening activated in our territory has led to a reduction in the expenditure for AAA emergency interventions, having increased the planned interventions. This must be a warning for local stakeholders, especially in the post-pandemic period, in order to strengthen prevention.

Imaging Biomarkers for Monitoring the Inflammatory Redox Landscape in the Brain

Inflammation is one key process in driving cellular redox homeostasis toward oxidative stress, which perpetuates inflammation. In the brain, this interplay results in a vicious cycle of cell death, the loss of neurons, and leakage of the blood–brain barrier. Hence, the neuroinflammatory response fuels the development of acute and chronic inflammatory diseases. Interrogation of the interplay between inflammation, oxidative stress, and cell death in neurological tissue in vivo is very challenging. The complexity of the underlying biological process and the fragility of the brain limit our understanding of the cause and the adequate diagnostics of neuroinflammatory diseases. In recent years, advancements in the development of molecular imaging agents addressed this limitation and enabled imaging of biomarkers of neuroinflammation in the brain. Notable redox biomarkers for imaging with positron emission tomography (PET) tracers are the 18 kDa translocator protein (TSPO) and monoamine oxygenase B (MAO–B). These findings and achievements offer the opportunity for novel diagnostic applications and therapeutic strategies. This review summarizes experimental as well as established pharmaceutical and biotechnological tools for imaging the inflammatory redox landscape in the brain, and provides a glimpse into future applications.

Stroke and diets - A review

Stroke was one of the most common causes of death and disability worldwide. In addition, there was a significant increase in the disease burden of stroke in the world over the past 25 years, especially in developing countries. We searched PubMed (National Library of Medicine, USA) and Embase (Elsevier) databases using “Stroke and diets” as strategy, and additional references were obtained from the selected articles. The risk factors of stroke include age, sex, and modifiable factors such as hypertension, smoking, diet, physical activity, diabetes mellitus, alcohol consumption, psychological factors, and cardiac causes.–together account for >90% of the population attributable risk for stroke. They were discussed individually (Hypertension, Diabetes, Dyslipidemia, Gut microbiota, Nutrition), and the dietary modifications to reduce these risks were also presented. In conclusion, besides low salt intake, plant-based dietary patterns (especially vegetarian diets) that are rich in fruit, vegetables, whole grains, legumes, seeds, nuts, and dairy and low in meat, sweets, and alcohol significantly improved risk factors for stroke, and observational studies clearly demonstrated the stroke morbidity and mortality benefits. Thus, dietary intervention should be considered as an important strategy in the prevention and management of stroke.

Methodological quality of systematic reviews on treatments for osteoporosis: A cross-sectional study

PURPOSE

Systematic reviews (SRs) provide the best evidence on the effectiveness of treatment strategies for osteoporosis. Carefully conducted SRs provide high-quality evidence for supporting decision-making, but the trustworthiness of conclusions can be hampered by limitation in rigor. We aimed to appraise the methodological quality of a representative sample of SRs on osteoporosis treatments in a cross-sectional study.

METHODS

Cochrane Database of Systematic Reviews, EMBASE, MEDLINE, and PsycINFO were searched for SRs on osteoporotic treatments. AMSTAR (A MeaSurement Tool to Assess systematic Reviews) 2 was used to evaluate methodological quality of SRs. Associations between bibliographical characteristics and methodological quality ratings were explored using multivariate regression analyses.

RESULTS

A total of 101 SRs were appraised. Overall, one (1.0%) was rated "high quality", three (3.0%) were rated "moderate quality", eleven (10.9%) were rated "low quality", and eighty-six (85.1%) were rated "critically low quality". Ninety-nine (98.0%) did not explain study design selection, eighty-five (84.2%) did not provide a list of excluded studies (84.2%), and eighty-five (84.2%) did not report funding sources of included studies. SRs published in 2018 or after were associated with higher overall quality [adjusted odds ratio (AOR): 5.48; 95% confidence interval (CI): 1.12-26.89], while SRs focused on pharmacological interventions were associated with lower overall quality [AOR: 0.24; 95% CI: 0.06-0.96].

CONCLUSION

The methodological quality of the included SRs is far from satisfactory. Future reviewers must strengthen rigor by improving literature search comprehensiveness, registering and publishing a priori protocols, and optimising study selection and data extraction. Better transparency in reporting conflicts of interest among reviewers, as well as sources of funding among included primary studies, are also needed.

Influences of Daily Life Habits on Risk Factors of Stroke Based on Decision Tree and Correlation Matrix

Purpose

To explore the influences of smoking, alcohol consumption, drinking tea, diet, sleep, and exercise on the risk of stroke and relationships among the factors, present corresponding knowledge-based rules, and provide a scientific basis for assessment and intervention of risk factors of stroke.

Methods

The decision tree C4.5 algorithm was optimized and utilized to establish a model for stroke risk assessment; then, the main risk factors of stroke (including hypertension, dyslipidemia, diabetes, atrial fibrillation, body mass index (BMI), history of stroke, family history of stroke, and transient ischemic attack (TIA)) and daily habits (e.g., smoking, alcohol consumption, drinking tea, diet, sleep, and exercise) were analyzed; corresponding knowledge-based rules were finally presented. Establish a correlation matrix of stroke risk factors and analyze the relationship between stroke risk factors.

Results

The accuracy of the established model for stroke risk assessment was 87.53%, and the kappa coefficient was 0.8344, which was superior to that of the random forest and Logistic algorithm. Additionally, 37 knowledge-based rules that can be used for prevention of risk factors of stroke were derived and verified. According to in-depth analysis of risk factors of stroke, the values of smoking, exercise, sleep, drinking tea, alcohol consumption, and diet were 6.00, 7.00, 8.67, 9.33, 10.00, 10.60, and 10.75, respectively, indicating that their influence on risk factors of stroke was reduced in turn; on the one hand, smoking and exercise were strongly associated with other risk factors of stroke; on the other hand, sleep, drinking tea, alcohol consumption, and diet were not firmly associated with other risk factors of stroke, and they were relatively tightly associated with smoking and exercise.

Conclusions

Establishment of a model for stroke risk assessment, analysis of factors influencing risk factors of stroke, analysis of relationships among those factors, and derivation of knowledge-based rules are helpful for prevention and treatment of stroke.