Higher admission rates and in-hospital mortality for acute type A aortic dissection during Influenza season: a single center experience

Evaluation of the Effect of Influenza Vaccine on the Development of Symptoms in SARS-CoV-2 Infection and Outcome in Patients Hospitalized due to COVID-19

BACKGROUND

COVID-19 is an infectious disease caused by SARS-CoV-2. It is unclear whether influenza vaccination reduces the severity of disease symptoms. Previous studies have suggested a beneficial effect of influenza vaccination on the severity of COVID-19. The aim of this study was to evaluate the possible protective effect of the influenza vaccine on the occurrence of SARS-CoV-2 infection symptoms and prognosis in patients hospitalized with COVID-19.

METHODS

This was a retrospective cohort study of patients who tested positive for SARS-CoV-2, identified by quantitative real-time polymerase chain reaction. Chi-square tests, Kaplan-Meier analysis, and multivariate analysis were performed to assess the association between influenza vaccination and the presence of symptoms in hospitalized patients with COVID-19 and their outcome.

RESULTS

In this study, 1712 patients received positive laboratory tests for SARS-CoV-2; influenza vaccination was a protective factor against the presence of characteristic COVID-19 symptoms such as polypnea, anosmia, dysgeusia, and fever (p < 0.001). Influenza-vaccinated patients had fewer days of hospitalization (p = 0.029).

CONCLUSIONS

The findings of this study support that influenza vaccination is associated with a decrease in the number of symptoms in patients hospitalized due to COVID-19, with fewer days of hospitalization, but not with the outcome of disease.

Diabetes and aortic dissection: unraveling the role of 3-hydroxybutyrate through mendelian randomization

BACKGROUND

In observational and experimental studies, diabetes has been reported as a protective factor for aortic dissection. 3-Hydroxybutyrate, a key constituent of ketone bodies, has been found to favor improvements in cardiovascular disease. However, whether the protective effect of diabetes on aortic dissection is mediated by 3-hydroxybutyrate is unclear. We aimed to investigate the causal effects of diabetes on the risk of aortic dissection and the mediating role of 3-hydroxybutyrate in them through two-step Mendelian randomization.

MATERIALS AND METHODS

We performed a two-step Mendelian randomization to investigate the causal connections between diabetes, 3-hydroxybutyrate, and aortic dissection and calculate the mediating effect of 3-hydroxybutyrate. Publicly accessible data for Type 1 diabetes, Type 2 diabetes, dissection of aorta and 3-hydroxybutyrate were obtained from genome-wide association studies. The association between Type 1 diabetes and dissection of aorta, the association between Type 2 diabetes and dissection of aorta, and mediation effect of 3-hydroxybutyrate were carried out separately.

RESULTS

The IVW method showed that Type 1 diabetes was negatively associated with the risk of aortic dissection (OR 0.912, 95% CI 0.836-0.995), The weighted median, simple mode and weighted mode method showed consistent results. The mediated proportion of 3-hydroxybutyrate on the relationship between Type 1 diabetes and dissection of aorta was 24.80% (95% CI 5.12-44.47%). The IVW method showed that Type 2 diabetes was negatively associated with the risk of aortic dissection (OR 0.763, 95% CI 0.607-0.960), The weighted median, simple mode and weighted mode method showed consistent results. 3-Hydroxybutyrate does not have causal mediation effect on the relationship between Type 2 diabetes and dissection of aorta.

CONCLUSION

Mendelian randomization study revealed diabetes as a protective factor for dissection of aorta. The protective effect of type 1 diabetes on aortic dissection was partially mediated by 3-hydroxybutyrate, but type 2 diabetes was not 3-hydroxybutyrate mediated.

Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

BACKGROUND

Variation in laboratory healthcare data due to seasonal changes is a widely accepted phenomenon. Seasonal variation is generally not systematically accounted for in healthcare settings. This study applies a newly developed adjustment method for seasonal variation to analyze the effect seasonality has on machine learning model classification of diagnoses.

METHODS

Machine learning methods were trained and tested on ~ 22 million unique records from ~ 575,000 unique patients admitted to Danish hospitals. Four machine learning models (adaBoost, decision tree, neural net, and random forest) classifying 35 diseases of the circulatory system (ICD-10 diagnosis codes, chapter IX) were run before and after seasonal adjustment of 23 laboratory reference intervals (RIs). The effect of the adjustment was benchmarked via its contribution to machine learning models trained using hyperparameter optimization and assessed quantitatively using performance metrics (AUROC and AUPRC).

RESULTS

Seasonally adjusted RIs significantly improved cardiovascular disease classification in 24 of the 35 tested cases when using neural net models. Features with the highest average feature importance (via SHAP explainability) across all disease models were sex, C- reactive protein, and estimated glomerular filtration. Classification of diseases of the vessels, such as thrombotic diseases and other atherosclerotic diseases consistently improved after seasonal adjustment.

CONCLUSIONS

As data volumes increase and data-driven methods are becoming more advanced, it is essential to improve data quality at the pre-processing level. This study presents a method that makes it feasible to introduce seasonally adjusted RIs into the clinical research space in any disease domain. Seasonally adjusted RIs generally improve diagnoses classification and thus, ought to be considered and adjusted for in clinical decision support methods.

The intervention seasons of thoracic endovascular aortic repair impacted the outcomes for patients with type B aortic dissection

Purpose

The objective of this research was to investigate whether seasonal variations influence the outcomes of type B aortic dissection (TBAD) patients with thoracic endovascular aortic repair (TEVAR).

Patients and methods

From 2003 to 2020, a retrospective cohort study was performed, which included 1,123 TBAD patients who received TEVAR. Medical records were used to gather data on baseline characteristics. Outcomes including all-cause mortality and aortic-related adverse events (ARAEs) were tracked and analyzed.

Results

Of the 1,123 TBAD patients in this study, 308 received TEVAR in spring (27.4%), 240 cases in summer (21.4%), 260 cases in autumn (23.2%), and 315 cases in winter (28.0%). Patients in the autumn group had a significantly lower risk of 1-year mortality than those in the spring group (hazard ratio: 2.66, 95% confidence interval: 1.06-6.67, p = 0.037). Kaplan-Meier curves revealed that patients who underwent TEVAR in autumn had a lower risk of 30-day ARAEs (p = 0.049) and 1-year mortality (p = 0.03) than those in spring.

Conclusion

This study confirmed that TEVAR operated in autumn for TBAD was associated with a lower risk of 30-day ARAEs and 1-year mortality than in spring.

Case Report: Effects of Sars-CoV-2 on Marfan syndrome with resulting acute aortic dissection

Marfan syndrome is one of the most common inherited connective tissue disorders that affects the heart, eyes, blood vessels, and bones. It occurs in approximately 1-2 per 10,000 individuals annually. Many patients with Marfan syndrome eventually develop aortic wall abnormalities, often resulting in aortic dilatation, which increases the risk of acute aortic dissection. Recent studies involving SARS-CoV-2 propose that individuals with connective tissue disorders such as Marfan syndrome can have additional associated conditions that could impose a higher risk for morbidity and mortality from SARS-CoV-2. The purpose of this article is to discuss the interrelationship between Marfan Syndrome, Acute Type A Aortic Dissection in a patient with Sars-CoV-2 infection. Pertinent review of these conditions, diagnostic findings, treatment, and the patient's clinical course will be discussed. There is minimal research focused on the connection between this novel virus, Marfan Syndrome, and compounding risk for aortic dissection.

The Potential Involvement of SARS‐CoV‐2 in the Immuno‐Pathogenesis of a Type A Aortic Dissection Case

The novel coronavirus disease 2019 (COVID‐19) may represent different clinical manifestations with different severities, from mild to severe. Even though the respiratory system is the mainly involved organ, numerous reports have mentioned cardiovascular complications in COVID‐19. Herein, we report a case of type A aortic dissection in a COVID‐19 patient.

In the case of severe SARS‐CoV‐2 infection, severe inflammation (i.e., cytokine storm) and downregulation of ACE2 can be associated with aortic dissection.

Fatal association of COVID‐19 and acute type A aortic dissection

Type A aortic dissection is a catastrophic event that requires prompt diagnosis and intervention to save the patient. It seems that type A aortic dissection in COVID‐19 patients has increased severity, and even with immediate diagnosis, it has a high mortality.

Acute aortic dissection in the Marfan syndrome during the COVID-19 epidemic

A 17-year-old boy with a recent diagnosis of COVID-19 infection was admitted with acute chest pain due to type A aortic dissection and was subsequently diagnosed with the Marfan syndrome. Literature shows an increased rate of aortic dissection during flu season. The hypothesis is that a cytokine storm triggers the dissection.

Changes in Health Perception among Patients with Aortic Diseases in a Severe COVID-19 Area in the West of Germany: A Longitudinal Study between the First and Second Wave of the COVID-19 Pandemic

Background and Objectives: The rapid spread of the novel coronavirus disease (COVID-19) has become the most challenging global health pandemic since the 1918 flu. In Germany, more than 3.4 million cases are confirmed so far, including 83,000 deaths. Increased fatality rates among patients with pre-existing cardiovascular diseases (CVD) represent this group at particular risk. The aim of this study was to evaluate changes in health perception among patients with aortic diseases during the first (w1) and second wave (w2) of the COVID-19 pandemic in Germany. Material and Methods: Patients (n = 262) diagnosed with aortic disease participated in telephone interviews during w1 and w2. The perception of COVID-19 as a threat was examined using relevant items of the Brief Illness Perception (BIP) questionnaire. Results: The BIP score increased from 9.18 (SD = 7.132) to 14.58 (SD = 6.956) between w1 and w2 (p < 0.001). Although this population is at high risk their overall perception of COVID-19 as a threat was low in the beginning, but surged during w2. Main reasons were increased effects on personal life and elevated concerns about the pandemic, but did not include the educational aspect of COVID-19. Conclusions: Tailored risk communication strengthens the mental health of people in a public health crisis and ensures the success of governmental guidelines.

Impact of the influenza vaccine on COVID-19 infection rates and severity

Background

With a unique influenza season occurring in the midst of a pandemic, there is interest in assessing the role of the influenza vaccine in COVID-19 susceptibility and severity.

Methods

In this retrospective cohort study, patients receiving a laboratory test for COVID-19 were identified. The primary outcome was comparison of positive COVID-19 testing in those who received the influenza vaccine versus those who did not. Secondary end points in patients testing positive for COVID-19 included mortality, need for hospitalization, length of stay, need for intensive care, and mechanical ventilation.

Results

A total of 27,201 patients received laboratory testing for COVID-19. The odds of testing positive for COVID-19 was reduced in patients who received an influenza vaccine compared to those who did not (odds ratio 0.76, 95% CI 0.68-0.86; P < .001). Vaccinated patients testing positive for COVID-19 were less likely to require hospitalization (odds ratio, 0.58, 95% CI 0.46-0.73; P < .001), or mechanical ventilation (odds ratio, 0.45, 95% CI 0.27-0.78; P  = .004) and had a shorter hospital length of stay (risk ratio, 0.76, 95% CI 0.65-0.89; P < .001).

Conclusion

Influenza vaccination is associated with decreased positive COVID-19 testing and improved clinical outcomes and should be promoted to reduce the burden of COVID-19.

Acute type A aortic dissection in a patient with COVID-19

The novel coronavirus spread all over the world in 2019 and became a serious international health concern of this century. Coronavirus disease 2019 (COVID-19) had a wide range of clinical manifestations; it can cause mild-to-severe multiorgan diseases, mostly affecting the respiratory system, but cardiovascular symptoms and complications are also frequently presented in COVID-19 patients. Herein, we report a type A aortic dissection in a confirmed case of COVID-19.