Abnormalities of the Vertebrobasilar Arterial System Leading to Sleep Disorders.

INTRODUCTION: The abnormalities in the vertebrobasilar arterial system such as enlarged, tortuous or dilated arteries and aneurysms can generate pressure and distortion of brain structures especially in the medulla and pons. This brainstem compression by abnormal arteries can lead to various sleep disorders such as sleep related hypoventilation, central sleep apnea, obstructive sleep apnea, and positional sleep apnea. AIM: To highlight brainstem compression due to vascular abnormalities as a cause of sleep disordered breathing. METHODS: Manuscripts were identified using the National Institutes of Health PubMed literature search system. Search terms included sleep disorders, vertebrobasilar dolichoectasia, tortuous vertebral arteries, vertebrobasilar aneurysms, vascular compression and brainstem compression. Inclusion criteria required that the articles were written in English, highlighted both a sleep disorder and a vascular abnormality. RESULTS: The literature search resulted in 10 case reports where vascular abnormalities were leading to sleep disorders. Out of these: four patients had central sleep apnea; three had sleep related hypoventilation; one had positional central sleep apnea; one had positional central apnea along with obstructive sleep apnea; and one had obstructive sleep apnea. The various vascular lesions identified were: megadolichobasilar artery; dolichoectatic vertebral artery; fusiform vertebrobasilar aneurysm; tortuous and elongated vertebral arteries; calcified vertebral artery and medullary telangiectasia. CONCLUSIONS: Arterial compression of the respiratory centers in the pons and medulla can lead to central sleep apnea. Obstructive sleep apnea can also result from vascular compression of the medulla. The proposed mechanism is compression of nucleus ambiguus which controls pharyngeal tone. Pressure on cranial nerves IX and X can lead to pharyngeal dysfunction leading to occlusive apnea.

Non-Dolichoectatic Vertebral Artery Compression of the Medulla: A Comprehensive Literature Review.

OBJECTIVE: Vertebral artery compression of the medulla is a rare vascular finding that causes a variety of clinical presentations, from asymptomatic to neurological disability. This article presents the largest literature review to date on medullary compression of the vertebral arteries. METHODS: An English literature search was performed using the PubMed database and the keywords vertebral artery tortuosity, vertebral artery compression, and medullary compression. RESULTS: A comprehensive literature search yielded 68 patients (57% male) with medullary compression by an intracranial vertebral artery (ICVA). The left side of the medulla was compressed in 44, the right side in 19, and bilateral in 7. The most common clinical symptom was weakness - 26 patients (36%) - 6 had quadriparesis and 6 had hemiparesis. 21 patients reported imbalance; 12 various sensory symptoms; 4 patients were asymptomatic. CONCLUSIONS: Understanding the anatomy of the vasculature can help mitigate future debilitating stroke symptoms. Concrete guidelines for revascularization surgery in symptomatic patients may also be effective. Future studies are needed to further clarify the prevalence, natural history, vascular etiology, and treatment of this condition, including asymptomatic patients and the likelihood that they will develop further neurological signs and disability.

Transcatheter Aortic Valve Implantation (TAVI) in Bicuspid Aortic Valve Disease: A Systematic Review.

Transcatheter aortic valve implantation (TAVI) is effective and safe, but its outcomes for patients with bicuspid aortic valve (BAV) disease are relatively unclear. A comprehensive search of PubMed, Medline, and Google Scholar till November 2023 yielded studies evaluating TAVI in BAV patients. Inclusion criteria were applied, and data were extracted on clinical and procedural outcomes, including echocardiographic measures and complications. Statistical analyses included descriptive statistics, subgroup analysis, and sensitivity analysis. From the 29 studies covering 8045 BAV patients, the mean age was found to be 72.5 ± 10.35 years with a male predominance of 56.4% ± 7.9%. TAVI was significantly beneficial, decreasing the mean aortic gradient from 46.9 to 10.4 mm Hg postprocedure and increasing aortic valve area, evidencing improved hemodynamics. A high procedural success rate of 93.3% was noted, predominantly through femoral access. However, complications included pacemaker need (12.6%), minor bleeding, and acute kidney injury. All-cause mortality escalated from 3.7% perioperatively to 16.8% after 1 year. Hazard ratios and P values highlighted significant outcomes: perioperative hazard ratio for mortality at 3.7% (P < 0.05), reduction in perioperative versus postoperative gradients (P < 0.001), and increase in postoperative aortic valve area (P < 0.001). The need for postdilatation was less than predilatation (P < 0.05), and significant differences were noted in device sizes (P < 0.05). TAVI in BAV patients showed good perioperative outcomes but with moderate complication rates. Notably, there was a significant rise in 1-year mortality, underscoring the importance of careful patient selection and strict postoperative care. More studies are necessary to determine long-term results and refine procedures for this group.

Effectiveness of resin infiltration in the management of anterior teeth affected by molar incisor hypomineralisation (MIH): A systematic review and meta-analysis.

OBJECTIVES: To evaluate the effectiveness of resin infiltration in improving the aesthetic appearance of anterior teeth affected by molar-incisor hypomineralisation (MIH). DATA SOURCES: PubMed, Scopus, EMBASE, Web of Science, ScienceDirect, and Cochrane Central Register of Controlled Trials (CENTRAL) were searched from 2009 to 2024. The protocol was registered in the International Prospective Database of Systematic Reviews (PROSPERO CRD42023461909). STUDY SELECTION: Interventional or comparative studies comparing resin infiltration and other treatments in MIH-affected anterior teeth were included. The risk of bias was evaluated using the Risk Of Bias In Non-randomised Studies of Interventions (ROBINS-I tool) and the Risk of Bias 2 (RoB 2.0) tool. Meta-analysis utilized a random-effects model. DATA: Eighteen studies met the inclusion criteria, and twelve were included in the meta-analysis. Resin infiltration showed a higher color difference (ΔE) before and after treatment (mean difference 2.21, 95 % confidence interval [CI] 0.04-4.38, p < 0.001, I2 = 98.61 %, p < 0.001) and better optical improvement (standardised mean difference [SMD] 2.68; 95 %CI 0.30-5.06; p = 0.027, I2 = 97.8 %, p < 0.001) compared to controls. The estimated success rate based on dentist assessment was 92 % (95 %CI 88-95 %, I2 = 17.92 %, p = 0.06). Non-randomised trials showed high (8/14) or moderate (6/14) risk of bias, mainly from confounding and selection issues. Randomised trials had high risk (1/3) or some concerns (2/3) due to missing data. CONCLUSIONS: The findings suggest that resin infiltration significantly improves aesthetic outcomes in MIH-affected anterior teeth, as evidenced by higher colour difference and optical improvement compared to controls. CLINICAL SIGNIFICANCE: While our study shows promising results for resin infiltration, including high success rates and aesthetic improvements, larger-scale studies with longer follow-up periods are necessary to confirm these findings and assess its long-term efficacy.

Digital roots: harnessing digital platforms in advancing traditional and complementary medicine for cancer care in Sub-Saharan Africa.

The rise in cancer rates in Sub-Saharan Africa (SSA), combined with limited access to Western pharmaceuticals, has sparked growing adoption of traditional and complementary medicine (T&CM) for cancer treatment in the region. However, many challenges exist, including the lack of reliable evidence-based research on these products, scarcity of standardized documentation as part of cancer registries, limited physician expertise, and negative effects on mortality. Nonetheless, herbal medicines also present opportunities for further research, development, and stakeholder education, potentially benefiting the regional healthcare systems in SSA countries and global health as whole. Recent trends highlight the willingness of patients to use mobile-based applications that provide accurate information on herbal therapeutics, reflecting the increasing adoption of internet and smart/mobile phone services in SSA. To maximize the potential benefits of traditional and complementary medicine, it is necessary to bridge the trust gap between the public, local practitioners, and Western healthcare providers. Sustained funding and policy support are needed to complement these initiatives. Our preliminary survey hopes to inspire the community and policymakers to embrace innovative solutions, fostering a forward-looking approach to cancer care in SSA.

Pre- and post-surgery: advancements in artificial intelligence and machine learning models for enhancing patient management in infective endocarditis.

Infective endocarditis (IE) is a severe infection of the inner lining of the heart, known as the endocardium. It is characterized by a range of symptoms and has a complicated pattern of occurrence, leading to a significant number of deaths. IE poses significant diagnostic and treatment difficulties. This evaluation examines the utilization of artificial intelligence (AI) and machine learning (ML) models in addressing information extraction (IE) management. It focuses on the most recent advancements and possible applications. Through this paper, we observe that AI/ML can significantly enhance and outperform traditional diagnostic methods leading to more accurate risk stratification, personalized therapies as well and real-time monitoring facilities. For example, early postsurgical mortality prediction models like SYSUPMIE achieved 'very good' area under the curve (AUROC) values exceeding 0.81. Additionally, AI/ML has improved diagnostic accuracy for prosthetic valve endocarditis, with PET-ML models increasing sensitivity from 59% to 72% when integrated into ESC criteria and reaching a high specificity of 83%. Furthermore, inflammatory biomarkers such as IL-15 and CCL4 have been identified as predictive markers, showing 91% accuracy in forecasting mortality, and identifying high-risk patients with specific CRP, IL-15, and CCL4 levels. Even simpler ML models, like Naïve Bayes, demonstrated an excellent accuracy of 92.30% in death rate prediction following valvular surgery for IE patients. Furthermore, this review provides a vital assessment of the advantages and disadvantages of such AI/ML models, such as better-quality decision support approaches like adaptive response systems on one hand, and data privacy threats or ethical concerns on the other hand. In conclusion, Al and ML must continue, through multi-centric and validated research, to advance cardiovascular medicine, and overcome implementation challenges to boost patient outcomes and healthcare delivery.

Harnessing big data for health equity through a comprehensive public database and data collection framework.

The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The funds are being distributed to 1400 community health centers, serving over 30 million Americans. Given these developments, our piece examines the reasons behind the delayed adoption of big data for healthcare equity, recent efforts embracing big data tools, and methods to maximize potential without overburdening physicians. We additionally propose a public database for anonymized patient data, introducing diverse metrics and equitable data collection strategies, providing valuable insights for policymakers and health systems to better serve communities.