Sandbox:SRizvi: Difference between revisions

Revision as of 19:45, 26 June 2020

Post heart transplant Arrhythmia's

Overview

Historical Perspective

[Disease name] was first discovered by [name of scientist], a [nationality + occupation], in [year]/during/following [event].

The association between [important risk factor/cause] and [disease name] was made in/during [year/event].

In [year], [scientist] was the first to discover the association between [risk factor] and the development of [disease name].

In [year], [gene] mutations were first implicated in the pathogenesis of [disease name].

There have been several outbreaks of [disease name], including -----.

In [year], [diagnostic test/therapy] was developed by [scientist] to treat/diagnose [disease name].

Classification

There is no established system for the classification of [disease name].

OR

[Disease name] may be classified according to [classification method] into [number] subtypes/groups: [group1], [group2], [group3], and [group4].

OR

[Disease name] may be classified into [large number > 6] subtypes based on [classification method 1], [classification method 2], and [classification method 3]. [Disease name] may be classified into several subtypes based on [classification method 1], [classification method 2], and [classification method 3].

OR

Based on the duration of symptoms, [disease name] may be classified as either acute or chronic.

OR

If the staging system involves specific and characteristic findings and features: According to the [staging system + reference], there are [number] stages of [malignancy name] based on the [finding1], [finding2], and [finding3]. Each stage is assigned a [letter/number1] and a [letter/number2] that designate the [feature1] and [feature2].

OR

The staging of [malignancy name] is based on the [staging system].

OR

There is no established system for the staging of [malignancy name].

Pathophysiology

The exact pathogenesis of [disease name] is not fully understood.

OR

It is thought that [disease name] is the result of / is mediated by / is produced by / is caused by either [hypothesis 1], [hypothesis 2], or [hypothesis 3].

OR

[Pathogen name] is usually transmitted via the [transmission route] route to the human host.

OR

Following transmission/ingestion, the [pathogen] uses the [entry site] to invade the [cell name] cell.

OR

[Disease or malignancy name] arises from [cell name]s, which are [cell type] cells that are normally involved in [function of cells].

OR

The progression to [disease name] usually involves the [molecular pathway].

OR

The pathophysiology of [disease/malignancy] depends on the histological subtype.

Causes

Disease name] may be caused by [cause1], [cause2], or [cause3].

OR

Common causes of [disease] include [cause1], [cause2], and [cause3].

OR

The most common cause of [disease name] is [cause 1]. Less common causes of [disease name] include [cause 2], [cause 3], and [cause 4].

OR

The cause of [disease name] has not been identified. To review risk factors for the development of [disease name], click here.

Differentiating ((Page name)) from other Diseases

[Disease name] must be differentiated from other diseases that cause [clinical feature 1], [clinical feature 2], and [clinical feature 3], such as [differential dx1], [differential dx2], and [differential dx3].

OR

[Disease name] must be differentiated from [[differential dx1], [differential dx2], and [differential dx3].

Epidemiology and Demographics

The incidence/prevalence of [disease name] is approximately [number range] per 100,000 individuals worldwide.

OR

In [year], the incidence/prevalence of [disease name] was estimated to be [number range] cases per 100,000 individuals worldwide.

OR

In [year], the incidence of [disease name] is approximately [number range] per 100,000 individuals with a case-fatality rate of [number range]%.

Patients of all age groups may develop [disease name].

OR

The incidence of [disease name] increases with age; the median age at diagnosis is [#] years.

OR

[Disease name] commonly affects individuals younger than/older than [number of years] years of age.

OR

[Chronic disease name] is usually first diagnosed among [age group].

OR

[Acute disease name] commonly affects [age group].

There is no racial predilection to [disease name].

OR

[Disease name] usually affects individuals of the [race 1] race. [Race 2] individuals are less likely to develop [disease name].

[Disease name] affects men and women equally.

OR

[Gender 1] are more commonly affected by [disease name] than [gender 2]. The [gender 1] to [gender 2] ratio is approximately [number > 1] to 1.

The majority of [disease name] cases are reported in [geographical region].

OR

[Disease name] is a common/rare disease that tends to affect [patient population 1] and [patient population 2].

Risk Factors

There are no established risk factors for [disease name].

OR

The most potent risk factor in the development of [disease name] is [risk factor 1]. Other risk factors include [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] include [risk factor 1], [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] may be occupational, environmental, genetic, and viral.

Screening

There is insufficient evidence to recommend routine screening for [disease/malignancy].

OR

According to the [guideline name], screening for [disease name] is not recommended.

OR

According to the [guideline name], screening for [disease name] by [test 1] is recommended every [duration] among patients with [condition 1], [condition 2], and [condition 3].

Natural History, Complications, and Prognosis

If left untreated, [#]% of patients with [disease name] may progress to develop [manifestation 1], [manifestation 2], and [manifestation 3].

OR

Common complications of [disease name] include [complication 1], [complication 2], and [complication 3].

OR

Prognosis is generally excellent/good/poor, and the 1/5/10-year mortality/survival rate of patients with [disease name] is approximately [#]%.

Diagnosis

Diagnostic Study of Choice

The diagnosis of [disease name] is made when at least [number] of the following [number] diagnostic criteria are met: [criterion 1], [criterion 2], [criterion 3], and [criterion 4].

OR

The diagnosis of [disease name] is based on the [criteria name] criteria, which include [criterion 1], [criterion 2], and [criterion 3].

OR

The diagnosis of [disease name] is based on the [definition name] definition, which includes [criterion 1], [criterion 2], and [criterion 3].

OR

There are no established criteria for the diagnosis of [disease name].

History and Symptoms

The majority of patients with [disease name] are asymptomatic.

OR

The hallmark of [disease name] is [finding]. A positive history of [finding 1] and [finding 2] is suggestive of [disease name]. The most common symptoms of [disease name] include [symptom 1], [symptom 2], and [symptom 3]. Common symptoms of [disease] include [symptom 1], [symptom 2], and [symptom 3]. Less common symptoms of [disease name] include [symptom 1], [symptom 2], and [symptom 3].

Physical Examination

Patients with [disease name] usually appear [general appearance]. Physical examination of patients with [disease name] is usually remarkable for [finding 1], [finding 2], and [finding 3].

OR

Common physical examination findings of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

The presence of [finding(s)] on physical examination is diagnostic of [disease name].

OR

The presence of [finding(s)] on physical examination is highly suggestive of [disease name].

Laboratory Findings

An elevated/reduced concentration of serum/blood/urinary/CSF/other [lab test] is diagnostic of [disease name].

OR

Laboratory findings consistent with the diagnosis of [disease name] include [abnormal test 1], [abnormal test 2], and [abnormal test 3].

OR

[Test] is usually normal among patients with [disease name].

OR

Some patients with [disease name] may have elevated/reduced concentration of [test], which is usually suggestive of [progression/complication].

OR

There are no diagnostic laboratory findings associated with [disease name].

Electrocardiogram

There are no ECG findings associated with [disease name].

OR

An ECG may be helpful in the diagnosis of [disease name]. Findings on an ECG suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

X-ray

There are no x-ray findings associated with [disease name].

OR

An x-ray may be helpful in the diagnosis of [disease name]. Findings on an x-ray suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no x-ray findings associated with [disease name]. However, an x-ray may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Echocardiography or Ultrasound

There are no echocardiography/ultrasound findings associated with [disease name].

OR

Echocardiography/ultrasound may be helpful in the diagnosis of [disease name]. Findings on an echocardiography/ultrasound suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no echocardiography/ultrasound findings associated with [disease name]. However, an echocardiography/ultrasound may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

CT scan

There are no CT scan findings associated with [disease name].

OR

[Location] CT scan may be helpful in the diagnosis of [disease name]. Findings on CT scan suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no CT scan findings associated with [disease name]. However, a CT scan may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

MRI

There are no MRI findings associated with [disease name].

OR

[Location] MRI may be helpful in the diagnosis of [disease name]. Findings on MRI suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no MRI findings associated with [disease name]. However, a MRI may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Other Imaging Findings

There are no other imaging findings associated with [disease name].

OR

[Imaging modality] may be helpful in the diagnosis of [disease name]. Findings on an [imaging modality] suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

Other Diagnostic Studies

There are no other diagnostic studies associated with [disease name].

OR

[Diagnostic study] may be helpful in the diagnosis of [disease name]. Findings suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

Other diagnostic studies for [disease name] include [diagnostic study 1], which demonstrates [finding 1], [finding 2], and [finding 3], and [diagnostic study 2], which demonstrates [finding 1], [finding 2], and [finding 3].

Treatment

Medical Therapy

There is no treatment for [disease name]; the mainstay of therapy is supportive care.

OR

Supportive therapy for [disease name] includes [therapy 1], [therapy 2], and [therapy 3].

OR

The majority of cases of [disease name] are self-limited and require only supportive care.

OR

[Disease name] is a medical emergency and requires prompt treatment.

OR

The mainstay of treatment for [disease name] is [therapy].

OR The optimal therapy for [malignancy name] depends on the stage at diagnosis.

OR

[Therapy] is recommended among all patients who develop [disease name].

OR

Pharmacologic medical therapy is recommended among patients with [disease subclass 1], [disease subclass 2], and [disease subclass 3].

OR

Pharmacologic medical therapies for [disease name] include (either) [therapy 1], [therapy 2], and/or [therapy 3].

OR

Empiric therapy for [disease name] depends on [disease factor 1] and [disease factor 2].

OR

Patients with [disease subclass 1] are treated with [therapy 1], whereas patients with [disease subclass 2] are treated with [therapy 2].

Surgery

Surgical intervention is not recommended for the management of [disease name].

OR

Surgery is not the first-line treatment option for patients with [disease name]. Surgery is usually reserved for patients with either [indication 1], [indication 2], and [indication 3]

OR

The mainstay of treatment for [disease name] is medical therapy. Surgery is usually reserved for patients with either [indication 1], [indication 2], and/or [indication 3].

OR

The feasibility of surgery depends on the stage of [malignancy] at diagnosis.

OR

Surgery is the mainstay of treatment for [disease or malignancy].

Primary Prevention

There are no established measures for the primary prevention of [disease name].

OR

There are no available vaccines against [disease name].

OR

Effective measures for the primary prevention of [disease name] include [measure1], [measure2], and [measure3].

OR

[Vaccine name] vaccine is recommended for [patient population] to prevent [disease name]. Other primary prevention strategies include [strategy 1], [strategy 2], and [strategy 3].

Secondary Prevention

There are no established measures for the secondary prevention of [disease name].

OR

Effective measures for the secondary prevention of [disease name] include [strategy 1], [strategy 2], and [strategy 3].

References

Template:WikiDoc Sources

ACUTE MYOCARDIAL INJURY:

Overview

Acute myocardial injury may be defined across studies as any of the following

Elevated troponin levels ^[1].
The upper reference limit for the high-sensitivity troponin I (hs-TnI) test (0.04ng/mL), based on the 99th percentile of measurements reported in healthy population.^[2]
Elevated cardiac biomarker levels to > 99th percentile of upper reference limit.^[3]
Elevated cardiac biomarker levels plus electrocardiographic and echocardiographic abnormalities.^[4]

Coronavirus disease 2019 (COVID-19) is a rapidly expanding global pandemic which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) , resulting in significant morbidity and mortality. Some hospitalized patients can develop an acute COVID-19 myocardial injury, which can manifest with a variety of clinical presentations but often presents as an acute cardiac injury with cardiomyopathy, ventricular arrhythmias, and hemodynamic instability, acute coronary syndrome, cardiogenic shock. patents with preexisting cardiovascular disease have higher morbidity and mortality.

Historical Perspective

One of the first reports of myocardial injury associated with SARS-CoV-2 was a study of 41 patients diagnosed with COVID-19 in Wuhan, China, wherein 5 patients (12%) had a high-sensitivity troponin I above the threshold of 28 pg/mL ^[5]

Classification

There is no established system for the classification of [disease name].

Pathophysiology

The pathophysiology of myocardial injury include,
- Hyperinflammation and cytokine storm mediated through pathologic T-cells and monocytes leading to myocarditis^[6]
- Respiratory failure and hypoxemia resulting in damage to cardiac myocytes^[7]
- Down regulation of ACE2 expression and subsequent protective signaling pathways in cardiac myocytes
- Hypercoagulability and development of coronary microvascular thrombosis^[8]
- Diffuse endothelial injury and ‘endotheliitis’ in several organs, including the heart as a direct consequence of SARS-CoV-2 viral involvement and/or resulting from host inflammatory response.^[9]
- inflammation and/or stress causing coronary plaque rupture or supply-demand mismatch leading to myocardial ischemia/infarction.
- Electrolyte imbalances and adverse medication effects may disproportionately challenge a diseased heart, with special consideration for the regimen of hydroxychloroquine and azithromycin treatment due to the potential for QTc prolongation ^[10]
- Direct invasion of the cardiac tissue by COVID-19.^[11]

Hyperinflammation and cytokine storm:

Immune dysregulation, including T cell and immune signaling dysfunction, recognized as an important factor in the pathogenesis of vascular disease, may also adversely affect the body's response to SARS-CoV-2 infection^[12]
The role of CD4(+)CD25(+)FOXP3(+) regulatory T (TREG) cells in the modulation of inflammation and immunity has received increasing attention. Given the important role of TREG cells in the induction and maintenance of immune homeostasis and tolerance, dysregulation in the generation or function of TREG cells can trigger abnormal immune responses and lead to pathology.
Evidence from experimental and clinical studies has indicated that TREG cells might have an important role in protecting against cardiovascular disease, in particular atherosclerosis and abdominal aortic aneurysm.
The role of TREG cells is evident in the pathogenesis of a number of cardiovascular diseases, including atherosclerosis, hypertension, ischaemic stroke, abdominal aortic aneurysm, Kawasaki disease, pulmonary arterial hypertension, myocardial infarction and remodelling, postischaemic neovascularization, myocarditis and dilated cardiomyopathy, and heart failure.^[13]

Role of ACE Receptor :

ACE-2 is a membrane-bound aminopeptidate receptor expressed on the epithelial cells of the lungs, intestines, kidneys and blood vessels. It has important immune and cardiovascular roles. Angiotensin-converting enzyme (ACE) cleaves angiotensin I to generate angiotensin II (Ang II), which binds to and activates AT₁R, thus promoting vasoconstriction.
ACE-2 cleaves angiotensin II and generates angiotensin 1–7, a powerful vasodilator acting through Mas receptors.
SARS-CoV-2 has a spike protein receptor-binding domain, similar to SARS-CoV-1, which interacts with the ACE-2 receptor and acts as the primary functional receptor for pathogenicity and human-to-human transmission.^[14] Furthermore, SARS-CoV-2 binding to ACE-2 leads to its downregulation and increases angiotensin II,a pro-inflammatory factor in the lung.
This subsequently leads to lower amount of angiotensin 1–7. Thus loss of protective signaling pathway in cardiac myocytes. The detrimental effect of ACE-2 downregulation would impede cardioprotective effects of angiotensin 1–7 leading to increased TNFα production, other cytokines release that can result in acute respiratory syndrome, acute cardiac injury and multiorgan dysfunction.^[15]

Causes

Disease name] may be caused by [cause1], [cause2], or [cause3].

OR

Common causes of [disease] include [cause1], [cause2], and [cause3].

OR

The most common cause of [disease name] is [cause 1]. Less common causes of [disease name] include [cause 2], [cause 3], and [cause 4].

OR

The cause of [disease name] has not been identified. To review risk factors for the development of [disease name], click here.

Differentiating ((Page name)) from other Diseases

[Disease name] must be differentiated from other diseases that cause [clinical feature 1], [clinical feature 2], and [clinical feature 3], such as [differential dx1], [differential dx2], and [differential dx3].

OR

[Disease name] must be differentiated from [[differential dx1], [differential dx2], and [differential dx3].

Epidemiology and Demographics

The incidence/prevalence of [disease name] is approximately [number range] per 100,000 individuals worldwide.

OR

In [year], the incidence/prevalence of [disease name] was estimated to be [number range] cases per 100,000 individuals worldwide.

OR

In [year], the incidence of [disease name] is approximately [number range] per 100,000 individuals with a case-fatality rate of [number range]%.

Patients of all age groups may develop [disease name].

OR

The incidence of [disease name] increases with age; the median age at diagnosis is [#] years.

OR

[Disease name] commonly affects individuals younger than/older than [number of years] years of age.

OR

[Chronic disease name] is usually first diagnosed among [age group].

OR

[Acute disease name] commonly affects [age group].

There is no racial predilection to [disease name].

OR

[Disease name] usually affects individuals of the [race 1] race. [Race 2] individuals are less likely to develop [disease name].

[Disease name] affects men and women equally.

OR

[Gender 1] are more commonly affected by [disease name] than [gender 2]. The [gender 1] to [gender 2] ratio is approximately [number > 1] to 1.

The majority of [disease name] cases are reported in [geographical region].

OR

[Disease name] is a common/rare disease that tends to affect [patient population 1] and [patient population 2].

Risk Factors

A meta-analysis of 6 studies inclusive of 1,527 patients with COVID-19 examined the prevalence of cardio vascular disease (CVD) and reported the prevalence of hypertension, cardiac and cerebrovascular disease, and diabetes to be 17.1%, 16.4%, and 9.7%, respectively ^[16]

There are no established risk factors for [disease name].

OR

The most potent risk factor in the development of [disease name] is [risk factor 1]. Other risk factors include [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] include [risk factor 1], [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] may be occupational, environmental, genetic, and viral.

Screening

There is insufficient evidence to recommend routine screening for [disease/malignancy].

OR

According to the [guideline name], screening for [disease name] is not recommended.

OR

According to the [guideline name], screening for [disease name] by [test 1] is recommended every [duration] among patients with [condition 1], [condition 2], and [condition 3].

Natural History, Complications, and Prognosis

The disease also contributes to cardiovascular complications, including acute coronary syndromes, arrhythmias, myocarditis, acute heart failure and, in the most severe cases, cardiogenic shock and death.

Older patients with preexisting cardiovascular comorbidities and diabetes are prone to develop a higher acuity of illness after contracting SARS-CoV-2 associated with higher risk of myocardial injury and a markedly higher short-term mortality rate.^[17]

If left untreated, [#]% of patients with [disease name] may progress to develop [manifestation 1], [manifestation 2], and [manifestation 3].

OR

Common complications of [disease name] include [complication 1], [complication 2], and [complication 3].

OR

Prognosis is generally excellent/good/poor, and the 1/5/10-year mortality/survival rate of patients with [disease name] is approximately [#]%.

Diagnosis

Diagnostic Study of Choice

Cardiac Biomarkers and Acute Cardiac Injury

In the recently published retrospective study of 191 COVID-19 patients from two separate hospitals in China, the incidence of elevation in high-sensitivity cardiac troponin I (cTnI) (>28 pg/ml) was 17%, and it was significantly higher among non-survivors (46% versus 1%, p<0.001).¹⁰ Furthermore, elevation of this biomarker was noted to be a predictor of in-hospital death (univariable OR 80.07, 95% CI [10.34–620.36], p<0.0001). The most abrupt increase in cTnI in non-survivors was noted beyond day 16 after the onset of disease. In the same study, the incidence of acute cardiac injury was 17% among all-comers, but significantly higher among non-survivors (59% versus 1%, p<0.0001).^[18]
CK-MB >2.2 ng/mL
Guo et al¹¹ provide additional novel insights that TnT levels are significantly associated with levels of C-reactive protein and N-terminal pro-B-type natriuretic peptide (NT-proBNP), thus linking myocardial injury to severity of inflammation and ventricular dysfunction^[19]

Patients with COVID-19 can present with chest pain, dyspnea, dysarrhythmia, and acute left ventricular dysfunction ^[20] ^[21]. In patients with myocarditis and myocardial injury, serum troponin values will be abnormal. The electrocardiogram (ECG) can demonstrate a range of findings, in some cases mimicking acute coronary syndrome (ACS). The ECG abnormalities result from myocardial inflammation and include non-specific ST segment-T wave abnormalities, T wave inversion, and PR segment and ST segment deviations (depression and elevation).

The diagnosis of [disease name] is made when at least [number] of the following [number] diagnostic criteria are met: [criterion 1], [criterion 2], [criterion 3], and [criterion 4].

OR

The diagnosis of [disease name] is based on the [criteria name] criteria, which include [criterion 1], [criterion 2], and [criterion 3].

OR

The diagnosis of [disease name] is based on the [definition name] definition, which includes [criterion 1], [criterion 2], and [criterion 3].

OR

There are no established criteria for the diagnosis of [disease name].

History and Symptoms

The majority of patients with [disease name] are asymptomatic.

OR

The hallmark of [disease name] is [finding]. A positive history of [finding 1] and [finding 2] is suggestive of [disease name]. The most common symptoms of [disease name] include [symptom 1], [symptom 2], and [symptom 3]. Common symptoms of [disease] include [symptom 1], [symptom 2], and [symptom 3]. Less common symptoms of [disease name] include [symptom 1], [symptom 2], and [symptom 3].

Physical Examination

Patients with [disease name] usually appear [general appearance]. Physical examination of patients with [disease name] is usually remarkable for [finding 1], [finding 2], and [finding 3].

OR

Common physical examination findings of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

The presence of [finding(s)] on physical examination is diagnostic of [disease name].

OR

The presence of [finding(s)] on physical examination is highly suggestive of [disease name].

Laboratory Findings

An elevated/reduced concentration of serum/blood/urinary/CSF/other [lab test] is diagnostic of [disease name].

OR

Laboratory findings consistent with the diagnosis of [disease name] include [abnormal test 1], [abnormal test 2], and [abnormal test 3].

OR

[Test] is usually normal among patients with [disease name].

OR

Some patients with [disease name] may have elevated/reduced concentration of [test], which is usually suggestive of [progression/complication].

OR

There are no diagnostic laboratory findings associated with [disease name].

Electrocardiogram

he electrocardiogram (ECG) can demonstrate a range of findings, in some cases mimicking acute coronary syndrome (ACS). The ECG abnormalities result from myocardial inflammation and include non-specific ST segment-T wave abnormalities, T wave inversion, and PR segment and ST segment deviations (depression and elevation)

There are no ECG findings associated with [disease name].

OR

An ECG may be helpful in the diagnosis of [disease name]. Findings on an ECG suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

X-ray

There are no x-ray findings associated with [disease name].

OR

An x-ray may be helpful in the diagnosis of [disease name]. Findings on an x-ray suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no x-ray findings associated with [disease name]. However, an x-ray may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Echocardiography or Ultrasound

There are no echocardiography/ultrasound findings associated with [disease name].

OR

Echocardiography/ultrasound may be helpful in the diagnosis of [disease name]. Findings on an echocardiography/ultrasound suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no echocardiography/ultrasound findings associated with [disease name]. However, an echocardiography/ultrasound may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

CT scan

There are no CT scan findings associated with [disease name].

OR

[Location] CT scan may be helpful in the diagnosis of [disease name]. Findings on CT scan suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no CT scan findings associated with [disease name]. However, a CT scan may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

MRI

There are no MRI findings associated with [disease name].

OR

[Location] MRI may be helpful in the diagnosis of [disease name]. Findings on MRI suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no MRI findings associated with [disease name]. However, a MRI may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Other Imaging Findings

There are no other imaging findings associated with [disease name].

OR

[Imaging modality] may be helpful in the diagnosis of [disease name]. Findings on an [imaging modality] suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

Other Diagnostic Studies

There are no other diagnostic studies associated with [disease name].

OR

[Diagnostic study] may be helpful in the diagnosis of [disease name]. Findings suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

Other diagnostic studies for [disease name] include [diagnostic study 1], which demonstrates [finding 1], [finding 2], and [finding 3], and [diagnostic study 2], which demonstrates [finding 1], [finding 2], and [finding 3].

Treatment

Medical Therapy

There is no treatment for [disease name]; the mainstay of therapy is supportive care.

OR

Supportive therapy for [disease name] includes [therapy 1], [therapy 2], and [therapy 3].

OR

The majority of cases of [disease name] are self-limited and require only supportive care.

OR

[Disease name] is a medical emergency and requires prompt treatment.

OR

The mainstay of treatment for [disease name] is [therapy].

OR The optimal therapy for [malignancy name] depends on the stage at diagnosis.

OR

[Therapy] is recommended among all patients who develop [disease name].

OR

Pharmacologic medical therapy is recommended among patients with [disease subclass 1], [disease subclass 2], and [disease subclass 3].

OR

Pharmacologic medical therapies for [disease name] include (either) [therapy 1], [therapy 2], and/or [therapy 3].

OR

Empiric therapy for [disease name] depends on [disease factor 1] and [disease factor 2].

OR

Patients with [disease subclass 1] are treated with [therapy 1], whereas patients with [disease subclass 2] are treated with [therapy 2].

Surgery

Surgical intervention is not recommended for the management of [disease name].

OR

Surgery is not the first-line treatment option for patients with [disease name]. Surgery is usually reserved for patients with either [indication 1], [indication 2], and [indication 3]

OR

The mainstay of treatment for [disease name] is medical therapy. Surgery is usually reserved for patients with either [indication 1], [indication 2], and/or [indication 3].

OR

The feasibility of surgery depends on the stage of [malignancy] at diagnosis.

OR

Surgery is the mainstay of treatment for [disease or malignancy].

Primary Prevention

There are no established measures for the primary prevention of [disease name].

OR

There are no available vaccines against [disease name].

OR

Effective measures for the primary prevention of [disease name] include [measure1], [measure2], and [measure3].

OR

[Vaccine name] vaccine is recommended for [patient population] to prevent [disease name]. Other primary prevention strategies include [strategy 1], [strategy 2], and [strategy 3].

Secondary Prevention

There are no established measures for the secondary prevention of [disease name].

OR

Effective measures for the secondary prevention of [disease name] include [strategy 1], [strategy 2], and [strategy 3].

References

↑ Driggin, Elissa; Madhavan, Mahesh V.; Bikdeli, Behnood; Chuich, Taylor; Laracy, Justin; Biondi-Zoccai, Giuseppe; Brown, Tyler S.; Der Nigoghossian, Caroline; Zidar, David A.; Haythe, Jennifer; Brodie, Daniel; Beckman, Joshua A.; Kirtane, Ajay J.; Stone, Gregg W.; Krumholz, Harlan M.; Parikh, Sahil A. (2020). "Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic". Journal of the American College of Cardiology. 75 (18): 2352–2371. doi:10.1016/j.jacc.2020.03.031. ISSN 0735-1097.
↑ Li, Dongze; Chen, You; Jia, Yu; Tong, Le; Tong, Jiale; Wang, Wei; Liu, Yanmei; Wan, Zhi; Cao, Yu; Zeng, Rui (2020). "SARS-CoV-2-Induced Immune Dysregulation and Myocardial Injury Risk in China: Insights from the ERS-COVID-19 Study". Circulation Research. doi:10.1161/CIRCRESAHA.120.317070. ISSN 0009-7330.
↑ Driggin, Elissa; Madhavan, Mahesh V.; Bikdeli, Behnood; Chuich, Taylor; Laracy, Justin; Biondi-Zoccai, Giuseppe; Brown, Tyler S.; Der Nigoghossian, Caroline; Zidar, David A.; Haythe, Jennifer; Brodie, Daniel; Beckman, Joshua A.; Kirtane, Ajay J.; Stone, Gregg W.; Krumholz, Harlan M.; Parikh, Sahil A. (2020). "Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic". Journal of the American College of Cardiology. 75 (18): 2352–2371. doi:10.1016/j.jacc.2020.03.031. ISSN 0735-1097.
↑ Driggin, Elissa; Madhavan, Mahesh V.; Bikdeli, Behnood; Chuich, Taylor; Laracy, Justin; Biondi-Zoccai, Giuseppe; Brown, Tyler S.; Der Nigoghossian, Caroline; Zidar, David A.; Haythe, Jennifer; Brodie, Daniel; Beckman, Joshua A.; Kirtane, Ajay J.; Stone, Gregg W.; Krumholz, Harlan M.; Parikh, Sahil A. (2020). "Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic". Journal of the American College of Cardiology. 75 (18): 2352–2371. doi:10.1016/j.jacc.2020.03.031. ISSN 0735-1097.
↑ Huang, Chaolin; Wang, Yeming; Li, Xingwang; Ren, Lili; Zhao, Jianping; Hu, Yi; Zhang, Li; Fan, Guohui; Xu, Jiuyang; Gu, Xiaoying; Cheng, Zhenshun; Yu, Ting; Xia, Jiaan; Wei, Yuan; Wu, Wenjuan; Xie, Xuelei; Yin, Wen; Li, Hui; Liu, Min; Xiao, Yan; Gao, Hong; Guo, Li; Xie, Jungang; Wang, Guangfa; Jiang, Rongmeng; Gao, Zhancheng; Jin, Qi; Wang, Jianwei; Cao, Bin (2020). "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China". The Lancet. 395 (10223): 497–506. doi:10.1016/S0140-6736(20)30183-5. ISSN 0140-6736.
↑ Wei, Haiming; Xu, Xiaoling; Tian, Zhigang; Sun, Rui; Qi, Yingjie; Zhao, Changcheng; Wang, Dongsheng; Zheng, Xiaohu; Fu, Binqing; Zhou, Yonggang (2020). "Pathogenic T-cells and inflammatory monocytes incite inflammatory storms in severe COVID-19 patients". National Science Review. 7 (6): 998–1002. doi:10.1093/nsr/nwaa041. ISSN 2095-5138.
↑ Kubasiak, L. A.; Hernandez, O. M.; Bishopric, N. H.; Webster, K. A. (2002). "Hypoxia and acidosis activate cardiac myocyte death through the Bcl-2 family protein BNIP3". Proceedings of the National Academy of Sciences. 99 (20): 12825–12830. doi:10.1073/pnas.202474099. ISSN 0027-8424.
↑ Han, Huan; Yang, Lan; Liu, Rui; Liu, Fang; Wu, Kai-lang; Li, Jie; Liu, Xing-hui; Zhu, Cheng-liang (2020). "Prominent changes in blood coagulation of patients with SARS-CoV-2 infection". Clinical Chemistry and Laboratory Medicine (CCLM). 58 (7): 1116–1120. doi:10.1515/cclm-2020-0188. ISSN 1437-4331.
↑ Tavazzi, Guido; Pellegrini, Carlo; Maurelli, Marco; Belliato, Mirko; Sciutti, Fabio; Bottazzi, Andrea; Sepe, Paola Alessandra; Resasco, Tullia; Camporotondo, Rita; Bruno, Raffaele; Baldanti, Fausto; Paolucci, Stefania; Pelenghi, Stefano; Iotti, Giorgio Antonio; Mojoli, Francesco; Arbustini, Eloisa (2020). "Myocardial localization of coronavirus in COVID‐19 cardiogenic shock". European Journal of Heart Failure. 22 (5): 911–915. doi:10.1002/ejhf.1828. ISSN 1388-9842.
↑ Bansal, Manish (2020). "Cardiovascular disease and COVID-19". Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 14 (3): 247–250. doi:10.1016/j.dsx.2020.03.013. ISSN 1871-4021.
↑ Tavazzi, Guido; Pellegrini, Carlo; Maurelli, Marco; Belliato, Mirko; Sciutti, Fabio; Bottazzi, Andrea; Sepe, Paola Alessandra; Resasco, Tullia; Camporotondo, Rita; Bruno, Raffaele; Baldanti, Fausto; Paolucci, Stefania; Pelenghi, Stefano; Iotti, Giorgio Antonio; Mojoli, Francesco; Arbustini, Eloisa (2020). "Myocardial localization of coronavirus in COVID‐19 cardiogenic shock". European Journal of Heart Failure. 22 (5): 911–915. doi:10.1002/ejhf.1828. ISSN 1388-9842.
↑ Meng, Xiao; Yang, Jianmin; Dong, Mei; Zhang, Kai; Tu, Eric; Gao, Qi; Chen, Wanjun; Zhang, Cheng; Zhang, Yun (2015). "Regulatory T cells in cardiovascular diseases". Nature Reviews Cardiology. 13 (3): 167–179. doi:10.1038/nrcardio.2015.169. ISSN 1759-5002.
↑ Meng, Xiao; Yang, Jianmin; Dong, Mei; Zhang, Kai; Tu, Eric; Gao, Qi; Chen, Wanjun; Zhang, Cheng; Zhang, Yun (2015). "Regulatory T cells in cardiovascular diseases". Nature Reviews Cardiology. 13 (3): 167–179. doi:10.1038/nrcardio.2015.169. ISSN 1759-5002.
↑ Wan, Yushun; Shang, Jian; Graham, Rachel; Baric, Ralph S.; Li, Fang; Gallagher, Tom (2020). "Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus". Journal of Virology. 94 (7). doi:10.1128/JVI.00127-20. ISSN 0022-538X.
↑ Zhou, Peng; Yang, Xing-Lou; Wang, Xian-Guang; Hu, Ben; Zhang, Lei; Zhang, Wei; Si, Hao-Rui; Zhu, Yan; Li, Bei; Huang, Chao-Lin; Chen, Hui-Dong; Chen, Jing; Luo, Yun; Guo, Hua; Jiang, Ren-Di; Liu, Mei-Qin; Chen, Ying; Shen, Xu-Rui; Wang, Xi; Zheng, Xiao-Shuang; Zhao, Kai; Chen, Quan-Jiao; Deng, Fei; Liu, Lin-Lin; Yan, Bing; Zhan, Fa-Xian; Wang, Yan-Yi; Xiao, Geng-Fu; Shi, Zheng-Li (2020). "A pneumonia outbreak associated with a new coronavirus of probable bat origin". Nature. 579 (7798): 270–273. doi:10.1038/s41586-020-2012-7. ISSN 0028-0836.
↑ Li, Bo; Yang, Jing; Zhao, Faming; Zhi, Lili; Wang, Xiqian; Liu, Lin; Bi, Zhaohui; Zhao, Yunhe (2020). "Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China". Clinical Research in Cardiology. 109 (5): 531–538. doi:10.1007/s00392-020-01626-9. ISSN 1861-0684.
↑ Guo, Tao; Fan, Yongzhen; Chen, Ming; Wu, Xiaoyan; Zhang, Lin; He, Tao; Wang, Hairong; Wan, Jing; Wang, Xinghuan; Lu, Zhibing (2020). "Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19)". JAMA Cardiology. doi:10.1001/jamacardio.2020.1017. ISSN 2380-6583.
↑ Zhou, Fei; Yu, Ting; Du, Ronghui; Fan, Guohui; Liu, Ying; Liu, Zhibo; Xiang, Jie; Wang, Yeming; Song, Bin; Gu, Xiaoying; Guan, Lulu; Wei, Yuan; Li, Hui; Wu, Xudong; Xu, Jiuyang; Tu, Shengjin; Zhang, Yi; Chen, Hua; Cao, Bin (2020). "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study". The Lancet. 395 (10229): 1054–1062. doi:10.1016/S0140-6736(20)30566-3. ISSN 0140-6736.
↑ Guo, Tao; Fan, Yongzhen; Chen, Ming; Wu, Xiaoyan; Zhang, Lin; He, Tao; Wang, Hairong; Wan, Jing; Wang, Xinghuan; Lu, Zhibing (2020). "Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19)". JAMA Cardiology. doi:10.1001/jamacardio.2020.1017. ISSN 2380-6583.
↑ Wu, Zunyou; McGoogan, Jennifer M. (2020). "Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China". JAMA. 323 (13): 1239. doi:10.1001/jama.2020.2648. ISSN 0098-7484.
↑ Ruan, Qiurong; Yang, Kun; Wang, Wenxia; Jiang, Lingyu; Song, Jianxin (2020). "Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China". Intensive Care Medicine. 46 (5): 846–848. doi:10.1007/s00134-020-05991-x. ISSN 0342-4642.

COVID 19

Coronavirus disease 2019 (COVID-19) is a rapidly expanding global pandemic which is caused by severe acute respiratory syndrome coronavirus 2, resulting in significant morbidity and mortality. Some hospitalized patients can develop an acute COVID-19 myocardial injury, which can manifest with a variety of clinical presentations but often presents as an acute cardiac injury with cardiomyopathy, ventricular arrhythmias, and hemodynamic instability, acute coronary syndrome, cardiogenic shock. patents with preexisting cardiovascular disease have higher morbidity and mortality.

Pathophysiology:

The pathophysiology of myocardial injury include, 1) hyperinflammation and cytokine storm mediated through pathologic T-cells and monocytes leading to myocarditis, 2) respiratory failure and hypoxemia resulting in damage to cardiac myocytes, 3) down regulation of ACE2 expression and subsequent protective signaling pathways in cardiac myocytes, 4) hypercoagulability and development of coronary microvascular thrombosis, 5) diffuse endothelial injury and ‘endotheliitis’ in several organs including heart, and, 6) inflammation and/or stress causing coronary plaque rupture or supply-demand mismatch leading to myocardial ischemia/infarction.

SARS-CoV-2 and ACE2 Angiotensin-converting enzyme 2 (ACE2) is a membrane-bound aminopeptidase that has a vital role in the cardiovascular and immune systems4. ACE2 is involved in heart function and the development of hypertension and diabetes mellitus. In addition, ACE2 has been identified as a functional receptor for coronaviruses4, including SARS-CoV and SARS-CoV-2. SARS-CoV-2 infection is triggered by binding of the spike protein of the virus to ACE2, which is highly expressed in the heart and lungs4. SARS-CoV-2 mainly invades alveolar epithelial cells, resulting in respiratory symptoms. These symptoms are more severe in patients with CVD, which might be associated with increased secretion of ACE2 in these patients compared with healthy individuals. ACE2 levels can be increased by the use of renin–angiotensin–aldosterone system inhibitors. Turner, A. J., Hiscox, J. A. & Hooper, N. M. ACE2: from vasopeptidase to SARS virus receptor. Trends Pharmacol. Sci. 25, 291–294 (2004).

[DrigginMadhavan20202-1] Driggin, Elissa; Madhavan, Mahesh V.; Bikdeli, Behnood; Chuich, Taylor; Laracy, Justin; Biondi-Zoccai, Giuseppe; Brown, Tyler S.; Der Nigoghossian, Caroline; Zidar, David A.; Haythe, Jennifer; Brodie, Daniel; Beckman, Joshua A.; Kirtane, Ajay J.; Stone, Gregg W.; Krumholz, Harlan M.; Parikh, Sahil A. (2020). "Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic". Journal of the American College of Cardiology. 75 (18): 2352–2371. doi:10.1016/j.jacc.2020.03.031. ISSN 0735-1097.

[LiChen2020-2] Li, Dongze; Chen, You; Jia, Yu; Tong, Le; Tong, Jiale; Wang, Wei; Liu, Yanmei; Wan, Zhi; Cao, Yu; Zeng, Rui (2020). "SARS-CoV-2-Induced Immune Dysregulation and Myocardial Injury Risk in China: Insights from the ERS-COVID-19 Study". Circulation Research. doi:10.1161/CIRCRESAHA.120.317070. ISSN 0009-7330.

[DrigginMadhavan20203-3] Driggin, Elissa; Madhavan, Mahesh V.; Bikdeli, Behnood; Chuich, Taylor; Laracy, Justin; Biondi-Zoccai, Giuseppe; Brown, Tyler S.; Der Nigoghossian, Caroline; Zidar, David A.; Haythe, Jennifer; Brodie, Daniel; Beckman, Joshua A.; Kirtane, Ajay J.; Stone, Gregg W.; Krumholz, Harlan M.; Parikh, Sahil A. (2020). "Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic". Journal of the American College of Cardiology. 75 (18): 2352–2371. doi:10.1016/j.jacc.2020.03.031. ISSN 0735-1097.

[DrigginMadhavan20204-4] Driggin, Elissa; Madhavan, Mahesh V.; Bikdeli, Behnood; Chuich, Taylor; Laracy, Justin; Biondi-Zoccai, Giuseppe; Brown, Tyler S.; Der Nigoghossian, Caroline; Zidar, David A.; Haythe, Jennifer; Brodie, Daniel; Beckman, Joshua A.; Kirtane, Ajay J.; Stone, Gregg W.; Krumholz, Harlan M.; Parikh, Sahil A. (2020). "Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic". Journal of the American College of Cardiology. 75 (18): 2352–2371. doi:10.1016/j.jacc.2020.03.031. ISSN 0735-1097.

[HuangWang2020-5] Huang, Chaolin; Wang, Yeming; Li, Xingwang; Ren, Lili; Zhao, Jianping; Hu, Yi; Zhang, Li; Fan, Guohui; Xu, Jiuyang; Gu, Xiaoying; Cheng, Zhenshun; Yu, Ting; Xia, Jiaan; Wei, Yuan; Wu, Wenjuan; Xie, Xuelei; Yin, Wen; Li, Hui; Liu, Min; Xiao, Yan; Gao, Hong; Guo, Li; Xie, Jungang; Wang, Guangfa; Jiang, Rongmeng; Gao, Zhancheng; Jin, Qi; Wang, Jianwei; Cao, Bin (2020). "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China". The Lancet. 395 (10223): 497–506. doi:10.1016/S0140-6736(20)30183-5. ISSN 0140-6736.

[WeiXu2020-6] Wei, Haiming; Xu, Xiaoling; Tian, Zhigang; Sun, Rui; Qi, Yingjie; Zhao, Changcheng; Wang, Dongsheng; Zheng, Xiaohu; Fu, Binqing; Zhou, Yonggang (2020). "Pathogenic T-cells and inflammatory monocytes incite inflammatory storms in severe COVID-19 patients". National Science Review. 7 (6): 998–1002. doi:10.1093/nsr/nwaa041. ISSN 2095-5138.

[KubasiakHernandez2002-7] Kubasiak, L. A.; Hernandez, O. M.; Bishopric, N. H.; Webster, K. A. (2002). "Hypoxia and acidosis activate cardiac myocyte death through the Bcl-2 family protein BNIP3". Proceedings of the National Academy of Sciences. 99 (20): 12825–12830. doi:10.1073/pnas.202474099. ISSN 0027-8424.

[HanYang2020-8] Han, Huan; Yang, Lan; Liu, Rui; Liu, Fang; Wu, Kai-lang; Li, Jie; Liu, Xing-hui; Zhu, Cheng-liang (2020). "Prominent changes in blood coagulation of patients with SARS-CoV-2 infection". Clinical Chemistry and Laboratory Medicine (CCLM). 58 (7): 1116–1120. doi:10.1515/cclm-2020-0188. ISSN 1437-4331.

[TavazziPellegrini2020-9] Tavazzi, Guido; Pellegrini, Carlo; Maurelli, Marco; Belliato, Mirko; Sciutti, Fabio; Bottazzi, Andrea; Sepe, Paola Alessandra; Resasco, Tullia; Camporotondo, Rita; Bruno, Raffaele; Baldanti, Fausto; Paolucci, Stefania; Pelenghi, Stefano; Iotti, Giorgio Antonio; Mojoli, Francesco; Arbustini, Eloisa (2020). "Myocardial localization of coronavirus in COVID‐19 cardiogenic shock". European Journal of Heart Failure. 22 (5): 911–915. doi:10.1002/ejhf.1828. ISSN 1388-9842.

[Bansal2020-10] Bansal, Manish (2020). "Cardiovascular disease and COVID-19". Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 14 (3): 247–250. doi:10.1016/j.dsx.2020.03.013. ISSN 1871-4021.

[TavazziPellegrini20202-11] Tavazzi, Guido; Pellegrini, Carlo; Maurelli, Marco; Belliato, Mirko; Sciutti, Fabio; Bottazzi, Andrea; Sepe, Paola Alessandra; Resasco, Tullia; Camporotondo, Rita; Bruno, Raffaele; Baldanti, Fausto; Paolucci, Stefania; Pelenghi, Stefano; Iotti, Giorgio Antonio; Mojoli, Francesco; Arbustini, Eloisa (2020). "Myocardial localization of coronavirus in COVID‐19 cardiogenic shock". European Journal of Heart Failure. 22 (5): 911–915. doi:10.1002/ejhf.1828. ISSN 1388-9842.

[MengYang20152-12] Meng, Xiao; Yang, Jianmin; Dong, Mei; Zhang, Kai; Tu, Eric; Gao, Qi; Chen, Wanjun; Zhang, Cheng; Zhang, Yun (2015). "Regulatory T cells in cardiovascular diseases". Nature Reviews Cardiology. 13 (3): 167–179. doi:10.1038/nrcardio.2015.169. ISSN 1759-5002.

[MengYang2015-13] Meng, Xiao; Yang, Jianmin; Dong, Mei; Zhang, Kai; Tu, Eric; Gao, Qi; Chen, Wanjun; Zhang, Cheng; Zhang, Yun (2015). "Regulatory T cells in cardiovascular diseases". Nature Reviews Cardiology. 13 (3): 167–179. doi:10.1038/nrcardio.2015.169. ISSN 1759-5002.

[WanShang2020-14] Wan, Yushun; Shang, Jian; Graham, Rachel; Baric, Ralph S.; Li, Fang; Gallagher, Tom (2020). "Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus". Journal of Virology. 94 (7). doi:10.1128/JVI.00127-20. ISSN 0022-538X.

[ZhouYang2020-15] Zhou, Peng; Yang, Xing-Lou; Wang, Xian-Guang; Hu, Ben; Zhang, Lei; Zhang, Wei; Si, Hao-Rui; Zhu, Yan; Li, Bei; Huang, Chao-Lin; Chen, Hui-Dong; Chen, Jing; Luo, Yun; Guo, Hua; Jiang, Ren-Di; Liu, Mei-Qin; Chen, Ying; Shen, Xu-Rui; Wang, Xi; Zheng, Xiao-Shuang; Zhao, Kai; Chen, Quan-Jiao; Deng, Fei; Liu, Lin-Lin; Yan, Bing; Zhan, Fa-Xian; Wang, Yan-Yi; Xiao, Geng-Fu; Shi, Zheng-Li (2020). "A pneumonia outbreak associated with a new coronavirus of probable bat origin". Nature. 579 (7798): 270–273. doi:10.1038/s41586-020-2012-7. ISSN 0028-0836.

[LiYang2020-16] Li, Bo; Yang, Jing; Zhao, Faming; Zhi, Lili; Wang, Xiqian; Liu, Lin; Bi, Zhaohui; Zhao, Yunhe (2020). "Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China". Clinical Research in Cardiology. 109 (5): 531–538. doi:10.1007/s00392-020-01626-9. ISSN 1861-0684.

[GuoFan2020-17] Guo, Tao; Fan, Yongzhen; Chen, Ming; Wu, Xiaoyan; Zhang, Lin; He, Tao; Wang, Hairong; Wan, Jing; Wang, Xinghuan; Lu, Zhibing (2020). "Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19)". JAMA Cardiology. doi:10.1001/jamacardio.2020.1017. ISSN 2380-6583.

[ZhouYu2020-18] Zhou, Fei; Yu, Ting; Du, Ronghui; Fan, Guohui; Liu, Ying; Liu, Zhibo; Xiang, Jie; Wang, Yeming; Song, Bin; Gu, Xiaoying; Guan, Lulu; Wei, Yuan; Li, Hui; Wu, Xudong; Xu, Jiuyang; Tu, Shengjin; Zhang, Yi; Chen, Hua; Cao, Bin (2020). "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study". The Lancet. 395 (10229): 1054–1062. doi:10.1016/S0140-6736(20)30566-3. ISSN 0140-6736.

[GuoFan20202-19] Guo, Tao; Fan, Yongzhen; Chen, Ming; Wu, Xiaoyan; Zhang, Lin; He, Tao; Wang, Hairong; Wan, Jing; Wang, Xinghuan; Lu, Zhibing (2020). "Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19)". JAMA Cardiology. doi:10.1001/jamacardio.2020.1017. ISSN 2380-6583.

[WuMcGoogan2020-20] Wu, Zunyou; McGoogan, Jennifer M. (2020). "Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China". JAMA. 323 (13): 1239. doi:10.1001/jama.2020.2648. ISSN 0098-7484.

[RuanYang2020-21] Ruan, Qiurong; Yang, Kun; Wang, Wenxia; Jiang, Lingyu; Song, Jianxin (2020). "Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China". Intensive Care Medicine. 46 (5): 846–848. doi:10.1007/s00134-020-05991-x. ISSN 0342-4642.

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@@ Line 406: / Line 406: @@
 **Electrolyte imbalances and adverse medication effects may disproportionately challenge a diseased heart, with special consideration for the regimen of hydroxychloroquine and azithromycin treatment due to the potential for QTc prolongation <ref name="Bansal2020">{{cite journal|last1=Bansal|first1=Manish|title=Cardiovascular disease and COVID-19|journal=Diabetes & Metabolic Syndrome: Clinical Research & Reviews|volume=14|issue=3|year=2020|pages=247–250|issn=18714021|doi=10.1016/j.dsx.2020.03.013}}</ref>
 **Direct invasion of the cardiac tissue by COVID-19.<ref name="TavazziPellegrini20202">{{cite journal|last1=Tavazzi|first1=Guido|last2=Pellegrini|first2=Carlo|last3=Maurelli|first3=Marco|last4=Belliato|first4=Mirko|last5=Sciutti|first5=Fabio|last6=Bottazzi|first6=Andrea|last7=Sepe|first7=Paola Alessandra|last8=Resasco|first8=Tullia|last9=Camporotondo|first9=Rita|last10=Bruno|first10=Raffaele|last11=Baldanti|first11=Fausto|last12=Paolucci|first12=Stefania|last13=Pelenghi|first13=Stefano|last14=Iotti|first14=Giorgio Antonio|last15=Mojoli|first15=Francesco|last16=Arbustini|first16=Eloisa|title=Myocardial localization of coronavirus in COVID‐19 cardiogenic shock|journal=European Journal of Heart Failure|volume=22|issue=5|year=2020|pages=911–915|issn=1388-9842|doi=10.1002/ejhf.1828}}</ref>
+'''Hyperinflammation and cytokine storm:'''
+* Immune dysregulation, including T cell and immune signaling dysfunction, recognized as an important factor in the pathogenesis of vascular disease, may also adversely affect the body's response to SARS-CoV-2 infection<ref name="MengYang20152">{{cite journal|last1=Meng|first1=Xiao|last2=Yang|first2=Jianmin|last3=Dong|first3=Mei|last4=Zhang|first4=Kai|last5=Tu|first5=Eric|last6=Gao|first6=Qi|last7=Chen|first7=Wanjun|last8=Zhang|first8=Cheng|last9=Zhang|first9=Yun|title=Regulatory T cells in cardiovascular diseases|journal=Nature Reviews Cardiology|volume=13|issue=3|year=2015|pages=167–179|issn=1759-5002|doi=10.1038/nrcardio.2015.169}}</ref>
+* The role of CD4(+)CD25(+)FOXP3(+) regulatory T (TREG) cells in the modulation of inflammation and immunity has received increasing attention. Given the important role of TREG cells in the induction and maintenance of immune homeostasis and tolerance, dysregulation in the generation or function of TREG cells can trigger abnormal immune responses and lead to pathology.
+* Evidence from experimental and clinical studies has indicated that TREG cells might have an important role in protecting against cardiovascular disease, in particular atherosclerosis and abdominal aortic aneurysm.
+* The role of TREG cells is evident in the pathogenesis of a number of cardiovascular diseases, including atherosclerosis, hypertension, ischaemic stroke, abdominal aortic aneurysm, Kawasaki disease, pulmonary arterial hypertension, myocardial infarction and remodelling, postischaemic neovascularization, myocarditis and dilated cardiomyopathy, and heart failure.<ref name="MengYang2015">{{cite journal|last1=Meng|first1=Xiao|last2=Yang|first2=Jianmin|last3=Dong|first3=Mei|last4=Zhang|first4=Kai|last5=Tu|first5=Eric|last6=Gao|first6=Qi|last7=Chen|first7=Wanjun|last8=Zhang|first8=Cheng|last9=Zhang|first9=Yun|title=Regulatory T cells in cardiovascular diseases|journal=Nature Reviews Cardiology|volume=13|issue=3|year=2015|pages=167–179|issn=1759-5002|doi=10.1038/nrcardio.2015.169}}</ref>
@@ Line 413: / Line 420: @@
 * ACE-2 is a membrane-bound aminopeptidate receptor expressed on the epithelial cells of the lungs, intestines, kidneys and blood vessels. It has important immune and cardiovascular roles. Angiotensin-converting enzyme (ACE) cleaves angiotensin I to generate angiotensin II (Ang II), which binds to and activates AT<sub>1</sub>R, thus promoting vasoconstriction.
 * ACE-2 cleaves angiotensin II and generates angiotensin 1–7, a powerful vasodilator acting through Mas receptors.
-* SARS-CoV-2 has a spike protein receptor-binding domain, similar to SARS-CoV-1, which interacts with the ACE-2 receptor and acts as the primary functional receptor for pathogenicity and human-to-human transmission.<ref name="WanShang2020">{{cite journal|last1=Wan|first1=Yushun|last2=Shang|first2=Jian|last3=Graham|first3=Rachel|last4=Baric|first4=Ralph S.|last5=Li|first5=Fang|last6=Gallagher|first6=Tom|title=Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus|journal=Journal of Virology|volume=94|issue=7|year=2020|issn=0022-538X|doi=10.1128/JVI.00127-20}}</ref> Furthermore, SARS-CoV-2 binding to ACE-2 leads to its downregulation and increases angiotensin II.
+* SARS-CoV-2 has a spike protein receptor-binding domain, similar to SARS-CoV-1, which interacts with the ACE-2 receptor and acts as the primary functional receptor for pathogenicity and human-to-human transmission.<ref name="WanShang2020">{{cite journal|last1=Wan|first1=Yushun|last2=Shang|first2=Jian|last3=Graham|first3=Rachel|last4=Baric|first4=Ralph S.|last5=Li|first5=Fang|last6=Gallagher|first6=Tom|title=Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus|journal=Journal of Virology|volume=94|issue=7|year=2020|issn=0022-538X|doi=10.1128/JVI.00127-20}}</ref> Furthermore, SARS-CoV-2 binding to ACE-2 leads to its downregulation and increases angiotensin II,a pro-inflammatory factor in the lung.
-* This subsequently leads to lower amount of angiotensin 1–7. Thus loss of protective signaling pathway in cardiac myocytes. The detrimental effect of ACE-2 downregulation would impede cardioprotective effects of angiotensin 1–7 leading to increased TNFα production
+* This subsequently leads to lower amount of angiotensin 1–7. Thus loss of protective signaling pathway in cardiac myocytes. The detrimental effect of ACE-2 downregulation would impede cardioprotective effects of angiotensin 1–7 leading to increased TNFα production, other cytokines release that can result in acute respiratory syndrome, acute cardiac injury and multiorgan dysfunction.<ref name="ZhouYang2020">{{cite journal|last1=Zhou|first1=Peng|last2=Yang|first2=Xing-Lou|last3=Wang|first3=Xian-Guang|last4=Hu|first4=Ben|last5=Zhang|first5=Lei|last6=Zhang|first6=Wei|last7=Si|first7=Hao-Rui|last8=Zhu|first8=Yan|last9=Li|first9=Bei|last10=Huang|first10=Chao-Lin|last11=Chen|first11=Hui-Dong|last12=Chen|first12=Jing|last13=Luo|first13=Yun|last14=Guo|first14=Hua|last15=Jiang|first15=Ren-Di|last16=Liu|first16=Mei-Qin|last17=Chen|first17=Ying|last18=Shen|first18=Xu-Rui|last19=Wang|first19=Xi|last20=Zheng|first20=Xiao-Shuang|last21=Zhao|first21=Kai|last22=Chen|first22=Quan-Jiao|last23=Deng|first23=Fei|last24=Liu|first24=Lin-Lin|last25=Yan|first25=Bing|last26=Zhan|first26=Fa-Xian|last27=Wang|first27=Yan-Yi|last28=Xiao|first28=Geng-Fu|last29=Shi|first29=Zheng-Li|title=A pneumonia outbreak associated with a new coronavirus of probable bat origin|journal=Nature|volume=579|issue=7798|year=2020|pages=270–273|issn=0028-0836|doi=10.1038/s41586-020-2012-7}}</ref>
-'''Hyperinflammation and cytokine storm:'''
-* Immune dysregulation, including T cell and immune signaling dysfunction, recognized as an important factor in the pathogenesis of vascular disease, may also adversely affect the body's response to SARS-CoV-2 infection<ref name="MengYang20152">{{cite journal|last1=Meng|first1=Xiao|last2=Yang|first2=Jianmin|last3=Dong|first3=Mei|last4=Zhang|first4=Kai|last5=Tu|first5=Eric|last6=Gao|first6=Qi|last7=Chen|first7=Wanjun|last8=Zhang|first8=Cheng|last9=Zhang|first9=Yun|title=Regulatory T cells in cardiovascular diseases|journal=Nature Reviews Cardiology|volume=13|issue=3|year=2015|pages=167–179|issn=1759-5002|doi=10.1038/nrcardio.2015.169}}</ref>
-* The role of CD4(+)CD25(+)FOXP3(+) regulatory T (TREG) cells in the modulation of inflammation and immunity has received increasing attention. Given the important role of TREG cells in the induction and maintenance of immune homeostasis and tolerance, dysregulation in the generation or function of TREG cells can trigger abnormal immune responses and lead to pathology.
-* Evidence from experimental and clinical studies has indicated that TREG cells might have an important role in protecting against cardiovascular disease, in particular atherosclerosis and abdominal aortic aneurysm.
-* The role of TREG cells is evident in the pathogenesis of a number of cardiovascular diseases, including atherosclerosis, hypertension, ischaemic stroke, abdominal aortic aneurysm, Kawasaki disease, pulmonary arterial hypertension, myocardial infarction and remodelling, postischaemic neovascularization, myocarditis and dilated cardiomyopathy, and heart failure.<ref name="MengYang2015">{{cite journal|last1=Meng|first1=Xiao|last2=Yang|first2=Jianmin|last3=Dong|first3=Mei|last4=Zhang|first4=Kai|last5=Tu|first5=Eric|last6=Gao|first6=Qi|last7=Chen|first7=Wanjun|last8=Zhang|first8=Cheng|last9=Zhang|first9=Yun|title=Regulatory T cells in cardiovascular diseases|journal=Nature Reviews Cardiology|volume=13|issue=3|year=2015|pages=167–179|issn=1759-5002|doi=10.1038/nrcardio.2015.169}}</ref>
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Sandbox:SRizvi: Difference between revisions

Revision as of 19:45, 26 June 2020

Overview

Historical Perspective

Classification

Pathophysiology

Causes

Differentiating ((Page name)) from other Diseases

Epidemiology and Demographics

Risk Factors

Screening

Natural History, Complications, and Prognosis

Diagnosis

Diagnostic Study of Choice

History and Symptoms

Physical Examination

Laboratory Findings

Electrocardiogram

X-ray

Echocardiography or Ultrasound

CT scan

MRI

Other Imaging Findings

Other Diagnostic Studies

Treatment

Medical Therapy

Surgery

Primary Prevention

Secondary Prevention

References

Overview

Historical Perspective

Classification

Pathophysiology

Causes

Differentiating ((Page name)) from other Diseases

Epidemiology and Demographics

Risk Factors

Screening

Natural History, Complications, and Prognosis

Diagnosis

Diagnostic Study of Choice

History and Symptoms

Physical Examination

Laboratory Findings

Electrocardiogram

X-ray

Echocardiography or Ultrasound

CT scan

MRI

Other Imaging Findings

Other Diagnostic Studies

Treatment

Medical Therapy

Surgery

Primary Prevention

Secondary Prevention

References

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