Deleterious effects of viral pneumonia on cardiovascular system

Pseudomonas aeruginosa- mediated cardiac dysfunction is driven by extracellular vesicles released during infection

Pseudomonas aeruginosa (P.a.) is a gram-negative, opportunistic bacterium abundantly present in the environment. Often P.a. infections cause severe pneumonia, if left untreated. Surprisingly, up to 30% of patients admitted to the hospital for community- acquired pneumonia develop adverse cardiovascular complications such as myocardial infarction, arrhythmia, left ventricular dysfunction, and heart failure. However, the underlying mechanism of infection-mediated cardiac dysfunction is not yet known. Recently, we demonstrated that P.a. infection of the lungs led to severe cardiac electrical abnormalities and left ventricular dysfunction with limited P.a. dissemination to the heart tissue. To understand the mechanism of cardiac dysfunction during P.a. infection, we utilized both in vitro and in vivo models. Our results revealed that inflammatory cytokines contribute but are not solely responsible for severe contractile dysfunction in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Instead, exposure of hiPSC-CMs with conditioned media from P.a. infected human monocyte-derived macrophages (hMDMs) was sufficient to cause severe contractile dysfunction and arrhythmia in hiPSC-CMs. Specifically, exosomes released from infected hMDMs and bacterial outer membrane vesicles (OMVs) are the major drivers of cardiomyocyte contractile dysfunction. By using LC-MS/MS, we identified bacterial proteins, including toxins that are packaged in the exosomes and OMVs, which are responsible for contractile dysfunction. Furthermore, we demonstrated that systemic delivery of bacterial OMVs to mice caused severe cardiac dysfunction, mimicking the natural bacterial infection. In summary, we conclude that OMVs released during infection enter circulation and drive cardiac dysfunction.

Time-dependent cardiovascular risks following pneumonia in inpatient and outpatient settings: A register-based cohort study

Background

The elevated long-term cardiovascular disease (CVD) risks associated with pneumonia have been observed among inpatients, yet the risks associated with outpatients are less understood.

Methods

We used register-based data and a matched cohort design, including 98,354 pneumonia inpatients and 44,486 outpatients, as well as a 5-fold number of matched healthy controls. Associations between pneumonia presentation (in inpatient and outpatient settings) and long-term CVD risks were measured by rate difference and hazard ratio (HR) using Poisson and Cox regressions in a time-dependent manner.

Results

During a maximum follow-up period of 5.7 years of ischemic heart disease (IHD), heart failure (HF), and stroke were documented among pneumonia inpatients.Relative to healthy controls, pneumonia patients showed increased risks of IHD, HF, and stroke. Women and young inpatients demonstrated stronger associations of CVD with pneumonia; inpatients aged 60 years or older showed the highest excessive CVD risks.

Conclusions

Pneumonia demanding outpatient and inpatient cares are intermediate-term and long-term risk factors of incident CVDs respectively, underscoring the need to plan setting-specific and time-dependent CVD-preventive cares following pneumonia presentation.

Determinants and outcomes of acute pancreatitis in patients hospitalized for COVID-19: Early pandemic experience

OBJECTIVES

To examine the predictors and outcomes associated with the development of acute pancreatitis (AP) in patients hospitalized with Coronavirus Disease 2019 (COVID-19).

METHODS

This is an observational analysis of the 2020 National Inpatient Sample Database. The study includes adult patients who were admitted with a confirmed diagnosis of COVID-19 and stratifies them based on the presence or absence of AP during their hospitalization. Predictors of AP development between the two groups and differences in outcomes are examined. Multivariate logistic regression analysis using Stata/BE 17.0 is conducted, with adjustments made for age, sex, race, and Charlson Comorbidity Index (CCI). Statistical significance is determined at a p-value of <0.05.

RESULTS

Significant factors associated with an increased risk of AP in COVID-19 patients include Hispanic ethnicity, higher Charlson Comorbidity Index (CCI) score, residence in states located in the southern region, history of chronic kidney disease, chronic liver disease, malnutrition, portal hypertension, and alcohol use. COVID-19 patients who developed AP were also found to be at higher risk of adverse outcomes, including mortality, acute coronary syndrome, acute kidney injury, sepsis, septic shock, in-hospital cardiac arrest, invasive mechanical ventilation, upper gastrointestinal bleeding, prolonged length of stay, and increased healthcare cost.

CONCLUSIONS

In hospitalized patients with COVID-19, the presence of AP is associated with increased mortality and morbidity. Risk factors for developing AP in this population include Hispanic ethnicity, residence in the southern region, higher Charlson Comorbidity Index (CCI) score, history of chronic kidney disease, chronic liver disease, malnutrition, portal hypertension, and alcohol use.

Impact of Negative Fluid Balance on Mortality and Outcome of Patients with Confirmed COVID-19

Purpose

Maintaining the proper fluid balance is a fundamental step in the management of hospitalized patients. The current study evaluated the impact of negative fluid balance on outcomes of patients with confirmed COVID-19.

Methods

We considered the negative fluid balance as a higher output fluid compared to the input fluid. The fluid balance was categorized into four groups (group 4: -850 to -500 ml/day; group 3: -499 to -200 ml/day, group 2: -199 to 0 ml/day, and group 1 : 1 to 1000 ml/day) and included ordinally in the model. The outcomes were all-cause mortality, length of hospitalization, and improvement in oxygen saturation.

Results

The fluid balance differed significantly among nonsurvivors and survivors (MD: -317.93, 95% CI: -410.21, -225.69, and p < 0.001). After adjusting for potential confounders, there was a significantly lower frequency of mortality in patients with negative fluid balance compared to the controls (aRR: 0.69, 95% CI: 0.57, 0.84, and p < 0.001). Similarly, the length of hospitalization was significantly shorter in the negative fluid balance group in comparison to the control group (aMD: -1.01, 95% CI: -1.74, -0.28, and p=0.006).

Conclusion

We determined that the negative fluid balance was associated with favorable outcomes in COVID-19 patients. The negative fluid balance was associated with the reduced mortality rate and length of hospitalization as well as improvement in oxygen saturation. Moreover, the NT-proBNP >781 pg/mL and fluid balance >-430 mL might be the predictors for positive fluid balance and mortality, respectively.

Fasting Plasma Glucose Levels at the Time of Admission Predict 90-Day Mortality in Patients with Viral Pneumonia. A Prospective Study

PURPOSE

To determine the effect of fasting plasma glucose (FPG) level at admission affects the 90-day mortality rate in patients with viral pneumonia.

METHODS

Two hundred fifty viral pneumonia patients were stratified into normal FPG (FPG<7.0 mmol/L), moderately-elevated FPG (FPG=7.0-14.0 mmol/L), and highly-elevated FPG groups (FPG≥14.0 mmol/L) according to the FPG level at the time of admission. The clinical characteristics, etiologies, and prognosis of different groups of patients were compared. Kaplan-Meier survival and Cox regression analyses were used to determine the relationship between the FPG level and 90-day all-cause mortality rate in patients with viral pneumonia.

RESULTS

Patients in the moderately- and highly-elevated FPG groups had a higher proportion of severe disease and mortality compared with the normal FPG group (P<0.001). Kaplan-Meier survival analysis showed a significant trend toward higher mortality and increased cumulative risk at 30, 60, and 90 d in patients with an FPG=7.0-14.0 mmol/L and an FPG≥14 mmol/L (χ²=51. 77, P<0.001). Multivariate Cox regression analysis revealed that compared with an FPG<7.0 mmol/L, FPG=7.0 and 14.0 mmol/L (HR: 9.236, 95% CI: 1.106-77.119, P=0.040) and FPG≥14.0 mmol/L (HR: 25.935, 95% CI: 2.586-246.213, P=0.005) were independent risk factors for predicting the 90-day mortality rate in viral pneumonia patients.

CONCLUSIONS

The higher the FPG level at admission in a patient with viral pneumonia, the higher the risk of all-cause mortality within 90 d.

The effect of prior COVID-19 infection on coronary microvascular dysfunction

BACKGROUND

Thrombolysis in Myocardial Infarction Frame Count (TFC) is an index that provides a quantitative evaluation of coronary microvascular dysfunction. In this study, we aimed to examine the effect of COVID-19 infection on TFC in patients admitted with chest pain and dyspnoea after COVID-19 disease and had abnormal findings in myocardial perfusion scintigraphy.

METHODS

For this single-center retrospective study, patients with and without a history of COVID-19 who were underwent coronary angiography for abnormal findings in myocardial perfusion scintigraphy between January 1, 2021 and June 30, 2021 were analysed. Patients were divided into two groups as patients with COVİD-19 history and those without. After exclusion criteria, patients with adequate angiographic monitoring and data were included in the study.

RESULTS

A total of 210 patients, 48 with a history of COVID-19, were included in the study. The mean age was ±55 10 years, and 122 (58%) patients were women. In patients with a history of COVID-19, TFC was significantly higher in the LAD (p < 0.001) and LCx (p < 0.001) arteries and RCA TFC (p = 0.223) was similar in both groups. In the linear mix model, male gender (β = 2.38, 95% CI = 1.26-3.51, p < 0.001) and history of COVID-19 (β = 1.51, 95% CI = 0.49-2.53, p = 0.004) were significantly associated with TFC.

CONCLUSION

TFC may be elevated due to coronary microvascular dysfunction in patients with a history of COVID-19.

Optimization: Molecular Communication Networks for Viral Disease Analysis Using Deep Leaning Autoencoder

Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases has attracted a particular attention. The emergence of viral diseases is expected to accelerate; these data indicate the need for a proactive approach to develop widely active family specific and cross family therapies for future disease outbreaks. Viral disease such as pneumonia, severe acute respiratory syndrome type 2, HIV infection, and Hepatitis-C virus can cause directly and indirectly cardiovascular disease (CVD). Emphasis should be placed not only on the development of broad-spectrum molecules and antibodies but also on host factor therapy, including the reutilization of previously approved or developing drugs. Another new class of therapeutics with great antiviral therapeutic potential is molecular communication networks using deep learning autoencoder (DL-AEs). The use of DL-AEs for diagnosis and prognosis prediction of infectious and noninfectious diseases has attracted a particular attention. MCN is map to molecular signaling and communication that are found inside and outside the human body where the goal is to develop a new black box mechanism that can serve the future robust healthcare industry (HCI). MCN has the ability to characterize the signaling process between cells and infectious disease locations at various levels of the human body called point-to-point MCN through DL-AE and provide targeted drug delivery (TDD) environment. Through MCN, and DL-AE healthcare provider can remotely measure biological signals and control certain processes in the required organism for the maintenance of the patient's health state. We use biomicrodevices to promote the real-time monitoring of human health and storage of the gathered data in the cloud. In this paper, we use the DL-based AE approach to design and implement a new drug source and target for the MCN under white Gaussian noise. Simulation results show that transceiver executions for a given medium model that reduces the bit error rate which can be learned. Then, next development of molecular diagnosis such as heart sounds is classified. Furthermore, biohealth interface for the inside and outside human body mechanism is presented, comparative perspective with up-to-date current situation about MCN.

Coronary microvascular dysfunction pathophysiology in COVID-19

Recently, accumulating evidence has highlighted the role of endothelial dysfunction in COVID-19 progression. Coronary microvascular dysfunction (CMD) plays a pivotal role in cardiovascular disease (CVD) and CVD-related risk factors (eg, age, gender, hypertension, diabetes mellitus, and obesity). Equally, these are also risk factors for COVID-19. The purpose of this review was to explore CMD pathophysiology in COVID-19, based on recent evidence. COVID-19 mechanisms were reviewed in terms of imbalanced renin-angiotensin-aldosterone-systems (RAAS), systemic inflammation and immune responses, endothelial dysfunction, and coagulatory disorders. Based on these mechanisms, we addressed CMD pathophysiology within the context of COVID-19, from five perspectives. The first was the disarrangement of local RAAS and Kallikrein-kinin-systems attributable to SARS-Cov-2 entry, and the concomitant decrease in coronary microvascular endothelial angiotensin I converting enzyme 2 (ACE2) levels. The second was related to coronary microvascular obstruction, induced by COVID-19-associated systemic hyper-inflammation and pro-thrombotic state. The third was focused on how pneumonia/acute respiratory distress syndrome (ARDS)-related systemic hypoxia elicited oxidative stress in coronary microvessels and cardiac sympathetic nerve activation. Fourthly, we discussed how autonomic nerve dysfunction mediated by COVID-19-associated mental, physical, or physiological factors could elicit changes in coronary blood flow, resulting in CMD in COVID-19 patients. Finally, we analyzed reciprocity between the coronary microvascular endothelium and perivascular cellular structures due to viremia, SARS-CoV-2 dissemination, and systemic inflammation. These mechanisms may function either consecutively or intermittently, finally culminating in CMD-mediated cardiovascular symptoms in COVID-19 patients. However, the underlying molecular pathogenesis remains to be clarified.

Association Between Cardiovascular Risk Factors and the Severity of Coronavirus Disease 2019: Nationwide Epidemiological Study in Korea

Background: Acute respiratory viral infections can result in cardiovascular involvement, with such patients having a significantly higher mortality rate than those without cardiovascular involvement. Due to the ongoing coronavirus disease 2019 (COVID-19) pandemic, it is important to determine whether cardiovascular risk factors are associated with the severity of COVID-19.

Methods: These nationwide data were provided by the Korea Disease Control and Prevention Agency. We defined a patient as having a “critical illness” if they required more than invasive mechanical ventilation and “fatal illness” if they died.

Results: Among the total 5,307 patients, 2,136 (40.8%) were male. The critical illness rate was 5.1% (males: 6.7, females: 4.0%) and the fatality rate was 4.54%. The multivariable analysis showed that age ≥60 years, male sex, diabetes mellitus, hypertension, heart failure, chronic kidney disease, cancer, and dementia were independent risk factors for critical illness. The risk scoring model showed the significance of multiple risk factors. Patients with four risk factors; old age (≥60 years), male sex, hypertension, and diabetes mellitus had a more than a 100 times higher risk for severe COVID-19 than those without these risk factors (OR; 95% confidence interval, 104; 45.6–240.6 for critical, 136.2; 52.3–3547.9 for fatal illness).

Conclusions: This study demonstrated that cardiovascular risk factors are also significant risk factors for severe COVID-19. In particular, patients who have multiple cardiovascular risk factors are more likely to progress to severe COVID-19. Therefore, early and appropriate treatment of these patients is crucial.

Body mass index and severity/fatality from coronavirus disease 2019: A nationwide epidemiological study in Korea

OBJECTIVE

Obesity has been reported as a risk factor for severe coronavirus disease 2019 (COVID-19) in recent studies. However, the relationship between body mass index (BMI) and COVID-19 severity and fatality are unclear.

RESEARCH DESIGN AND METHODS

This study included 4,141 COVID-19 patients who were released from isolation or had died as of April 30, 2020. This nationwide data was provided by the Korean Centers for Disease Control and Prevention Agency. BMI was categorized as follows; < 18.5 kg/m2, 18.5-22.9 kg/m2, 23.0-24.9 kg/m2, 25.0-29.9 kg/m2, and ≥ 30 kg/m2. We defined a fatal illness if the patient had died.

RESULTS

Among participants, those with a BMI of 18.5-22.9 kg/m2 were the most common (42.0%), followed by 25.0-29.9 kg/m2 (24.4%), 23.0-24.9 kg/m2 (24.3%), ≥ 30 kg/m2 (4.7%), and < 18.5 kg/m2 (4.6%). In addition, 1,654 (41.2%) were men and 3.04% were fatalities. Multivariable analysis showed that age, male sex, BMI < 18.5 kg/m2, BMI ≥ 25 kg/m2, diabetes mellitus, chronic kidney disease, cancer, and dementia were independent risk factors for fatal illness. In particular, BMI < 18.5 kg/m2 (odds ratio [OR] 3.97, 95% CI 1.77-8.92), 25.0-29.9 kg/m2 (2.43, 1.32-4.47), and ≥ 30 kg/m2 (4.32, 1.37-13.61) were found to have higher ORs than the BMI of 23.0-24.9 kg/m2 (reference). There was no significant difference between those with a BMI of 18.5-22.9 kg/m2 (1.59, 0.88-2.89) and 23.0-24.9 kg/m2.

CONCLUSIONS

This study demonstrated a non-linear (U-shaped) relationship between BMI and fatal illness. Subjects with a BMI of < 18.5 kg/m2 and those with a BMI ≥ 25 kg/m2 had a high risk of fatal illness. Maintaining a healthy weight is important not only to prevent chronic cardiometabolic diseases, but also to improve the outcome of COVID-19.

Cardiovascular biomarkers in patients with COVID-19

The coronavirus disease 2019 (COVID-19) pandemic has increased awareness that severe acute respiratory distress syndrome coronavirus-2 (SARS-CoV-2) may have profound effects on the cardiovascular system. COVID-19 often affects patients with pre-existing cardiac disease, and may trigger acute respiratory distress syndrome (ARDS), venous thromboembolism (VTE), acute myocardial infarction (AMI), and acute heart failure (AHF). However, as COVID-19 is primarily a respiratory infectious disease, there remain substantial uncertainty and controversy whether and how cardiovascular biomarkers should be used in patients with suspected COVID-19. To help clinicians understand the possible value as well as the most appropriate interpretation of cardiovascular biomarkers in COVID-19, it is important to highlight that recent findings regarding the prognostic role of cardiovascular biomarkers in patients hospitalized with COVID-19 are similar to those obtained in studies for pneumonia and ARDS in general. Cardiovascular biomarkers reflecting pathophysiological processes involved in COVID-19/pneumonia and its complications have a role evaluating disease severity, cardiac involvement, and risk of death in COVID-19 as well as in pneumonias caused by other pathogens. First, cardiomyocyte injury, as quantified by cardiac troponin concentrations, and haemodynamic cardiac stress, as quantified by natriuretic peptide concentrations, may occur in COVID-19 as in other pneumonias. The level of those biomarkers correlates with disease severity and mortality. Interpretation of cardiac troponin and natriuretic peptide concentrations as quantitative variables may aid in risk stratification in COVID-19/pneumonia and also will ensure that these biomarkers maintain high diagnostic accuracy for AMI and AHF. Second, activated coagulation as quantified by D-dimers seems more prominent in COVID-19 as in other pneumonias. Due to the central role of endothelitis and VTE in COVID-19, serial measurements of D-dimers may help physicians in the selection of patients for VTE imaging and the intensification of the level of anticoagulation from prophylactic to slightly higher or even therapeutic doses.

Digestive system involvement of infections with SARS-CoV-2 and other coronaviruses: Clinical manifestations and potential mechanisms

Although coronavirus (CoV) infection is often characterized by respiratory symptoms, the virus can also result in extrapulmonary symptoms, especially the symptoms related to the digestive system. The outbreak of coronavirus disease 2019 (COVID-19) is currently the world’s most pressing public health threat and has a significant impact on civil societies and the global economy. The occurrence of digestive symptoms in patients with COVID-19 is closely related to the development and prognosis of the disease. Moreover, thus far, there are no specific antiviral drug or vaccine approved for the treatment or prevention of COVID-19. Therefore, we elaborate on the effects of CoVs on the digestive system and the potential underlying mechanisms.

Statins and PCSK9 inhibitors: What is their role in coronavirus disease 2019?

Statins and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors interfere with several pathophysiological pathways of coronavirus disease 2019 (COVID-19). Statins may have a direct antiviral effect on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by inhibiting its main protease. Statin-induced up-regulation of angiotensin-converting enzyme 2 (ACE2) may also be beneficial, whereas cholesterol reduction might significantly suppress SARS-CoV-2 by either blocking its host-cell entry through the disruption of lipid rafts or by inhibiting its replication. Available human studies have shown beneficial effects of statins and PCSK9 inhibitors on pneumonia and sepsis. These drugs may act as immunomodulators in COVID-19 and protect against major complications, such as acute respiratory distress syndrome and cytokine release syndrome. Considering their antioxidative, anti-arrhythmic, antithrombotic properties and their beneficial effect on endothelial dysfunction, along with the increased risk of mortality of patients at high cardiovascular risk infected by SARS-CoV-2, statins and PCSK9 inhibitors might prove effective against the cardiovascular and thromboembolic complications of COVID-19. On the whole, randomized clinical trials are needed to establish routine use of statins and PCSK9 inhibitors in the treatment of SARS-CoV-2 infection. In the meantime, it is recommended that lipid-lowering therapy should not be discontinued in COVID-19 patients unless otherwise indicated.

Prognostic utility of quantitative offline 2D-echocardiography in hospitalized patients with COVID-19 disease

PURPOSE

To assess the prognostic utility of quantitative 2D-echocardiography, including strain, in patients with COVID-19 disease.

METHODS

COVID-19-infected patients admitted to the San Paolo University Hospital of Milan that underwent a clinically indicated echocardiographic examination were included in the study. To limit contamination, all measurements were performed offline. Quantitative measurements were obtained by an operator blinded to the clinical data.

RESULTS

Among the 49 patients, nonsurvivors (33%) had worse respiratory parameters, index of multiorgan failure, and worse markers of lung involvement. Right ventricular (RV) dysfunction (as assessed by conventional and 2-dimensional speckle tracking) was a common finding and a powerful independent predictor of mortality. At the ROC curve analyses, RV free wall longitudinal strain (LS) showed an AUC 0.77 ± 0.08 in predicting death, P = .008, and global RV LS (RV-GLS) showed an AUC 0.79 ± 0.04, P = .004. This association remained significant after correction for age (OR = 1.16, 95%CI 1.01-1.34, P = .029 for RV free wall LS and OR = 1.20, 95%CI 1.01-1.42, P = .033 for RV-GLS), for oxygen partial pressure at arterial gas analysis/fraction of inspired oxygen (OR = 1.28, 95%CI 1.04-1.57, P = .021 for RV free wall-LS and OR = 1.30, 95%CI 1.04-1.62, P = .020 for RV-GLS) and for the severity of pulmonary involvement measured by a computed tomography lung score (OR = 1.27, 95%CI 1.02-1.19, P = .034 for RV free wall LS and OR = 1.30, 95%CI 1.04-1.63, P = .022 for RV-GLS).

CONCLUSIONS

In patients hospitalized with COVID-19, offline quantitative 2D-echocardiographic assessment of cardiac function is feasible. Parameters of RV function are frequently abnormal and have an independent prognostic value over markers of lung involvement.

Return to sports after COVID-19: a position paper from the Dutch Sports Cardiology Section of the Netherlands Society of Cardiology

The coronavirus disease 2019 (COVID-19) pandemic has led to preventive measures worldwide. With the decline of infection rates, less stringent restrictions for sports and exercise are being implemented. COVID-19 is associated with significant cardiovascular complications; however there are limited data on cardiovascular complications and long-term outcomes in both competitive (elite) athletes and highly active individuals. Based on different categories of disease severity (asymptomatic, regional/systemic symptoms, hospitalisation, myocardial damage, and/or myocarditis), in this point-of-view article we offer the (sports) cardiologist or sports physician in the Netherlands a practical guide to pre-participation screening, and diagnostic and management strategies in all athletes >16 years of age after COVID-19 infection.