scholarly journals Heart Disease in Women

2021 ◽  
Vol 6 (3) ◽  

All women face the threat of heart disease. Knowing the symptoms and risks unique to women, as well as eating a hearthealthy diet and exercising, can help protect you. Heart disease is often thought to be more of a problem for men. However, it’s the most common cause of death for both women and men in the United States. Because some heart disease symptoms in women can differ f Heart attack symptoms for women. The most common heart attack symptom in women is the same as in men some type of chest pain, pressure or discomfort that lasts more than a few minutes or comes and goes. But chest pain is not always severe or even the most noticeable symptom, particularly in women. Women often describe it as pressure or tightness. And, it’s possible to have a heart attack without chest pain. Women are more likely than men to have heart attack symptoms unrelated to chest pain, such as: Neck, jaw, shoulder, upper back or abdominal discomfort, Shortness of breath, Pain in one or both arms, Nausea or vomiting, Sweating, Lightheadedness or dizziness, unusual fatigue, Indigestion. These symptoms may be vague and not as noticeable as the crushing chest pain often associated with heart attacks. This might be because women tend to have blockages not only in their main arteries but also in the smaller ones that supply blood to the heart-a condition called small vessel heart disease or coronary microvascular disease. Women tend to have symptoms more often when resting, or even when asleep, than they do in men. Emotional stress can play a role in triggering heart attack symptoms in women. Because women don’t always recognize their symptoms as those of a heart attack, they tend to show up in emergency rooms after heart damage has occurred. Also, because their symptoms often differ from men’s, women might be diagnosed less often with heart disease than men are. If you have symptoms of a heart attack or think you’re having one, call for emergency medical help immediately. Don’t drive yourself to the emergency room unless you have no other options. Rom those in men, women often don’t know what to look for

2017 ◽  
pp. 1199-1237
Author(s):  
S. Vijayachitra

The majority of people will suffer heart attacks (Dr. A. Abdul Jallel, Personal communication, December 10, 2005). To confirm the disease, patients need to undergo tests like ECG, treadmill, etc., which cost money and time. After heavy expenses and large duration only, they come to know whether they are affected by a heart attack or another disease. To help the people, it is planned to give a suitable solution by an emerging technology called “Neuro-Fuzzy.” The main objective of this chapter is to identify the symptom called “angina,” which is severe chest pain prior to a heart attack. With various symptoms like location of pain, radiation of pain, precipitation of pain, duration of pain, cholesterol, smoking, family history, angina can be diagnosed. After the diagnosis, it is possible to know angina's severity, and based on it, a biopsy is recommended for the affected people.


2022 ◽  
pp. 28-57
Author(s):  
Mohamed Echchakery ◽  
Souad El Mouahid ◽  
Soraia El Baz ◽  
Maryam Mountassir ◽  
Ahmed Taoufik Hakkoum ◽  
...  

Severe Acute Respiratory Syndrome Virus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19), which was identified at the end of December 2019 in China. Symptoms of COVID-19 can appear after an incubation phase of the virus of 2 to 14 days, the most common being fever, cough, and asthenia. Other specific symptoms may include shortness of breath or difficulty breathing, muscle pain, sore throat, chills, loss of smell or sensation, chest pain, headache, nausea, rash, diarrhea, and vomiting. The severity of these symptoms can be mild or even extreme causing serious damage to several organs, directly and indirectly, namely pulmonary, renal, hepatic, cardiac, digestive, neurological. Some people have only mild symptoms, while others are asymptomatic. Seniors or those at risk for certain chronic diseases, such as massive obesity, diabetes, heart disease, lung disease, kidney disease, immune system abnormalities, and liver disease are more susceptible to COVID-19 and can develop more serious and fatal complications.


2000 ◽  
Vol 9 (4) ◽  
pp. 237-244 ◽  
Author(s):  
SB Richards ◽  
M Funk ◽  
KA Milner

BACKGROUND: Mortality rates for coronary heart disease are higher in blacks than in whites. OBJECTIVES: To examine differences between blacks and whites in the manifestation of symptoms of coronary heart disease and in delay in seeking treatment. METHODS: Patients were directly observed as they came to an emergency department with symptoms suggestive of coronary heart disease. The sample included 40 blacks and 191 whites with a final diagnosis of angina or acute myocardial infarction. RESULTS: After controlling for pertinent demographic and clinical characteristics, logistic regression analysis revealed that blacks were more likely than whites to have shortness of breath (odds ratio = 3.16; 95% CI = 1.49-6.71; P = .003) and left-sided chest pain (odds ratio = 2.55; 95% CI = 1.10-5.91; P =.03). Blacks delayed a mean of 26.8 hours (SD = 30.3; median = 11 hours), whereas whites delayed a mean of 24.4 hours (SD = 41.7; median = 5 hours) in seeking care. Mean delay time was not significantly different for blacks and whites; differences in median delay time were of borderline significance (P = .05). CONCLUSIONS: Blacks were more likely than whites to have shortness of breath and left-sided chest pain as the presenting symptoms of coronary heart disease. Differences in delay in seeking treatment were not significant, although blacks tended to delay longer than did whites. The relatively small number of blacks may account for the lack of observed racial differences in both initial symptoms and in delay in seeking treatment.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S T Thodeti ◽  
D S L Lattanzio ◽  
D D Drenic ◽  
T M K Kuraan ◽  
M U K Khalid ◽  
...  

Abstract Introduction Intuitively, severity of symptoms usually correlates with severity of disease process or disease progression. In this regard, the ACC Sports and Exercise Cardiology Section proposed an algorithm for competitive athletes to assess and manage cardiac injury after COVID-19 infection based on initial symptoms. However, there are no published, evidence-based data to substantiate this approach. Purpose This study was designed to assess the correlation between symptoms at the time of initial diagnosis to post-COVID recovery cardiac symptoms and findings on a cardiac MRI study (CMR). It is hypothesized that the initial symptoms at the time of a positive COVID-19 test may not be reliable or sufficient in predicting the severity of post-COVID recovery symptoms or findings on CMR. Methods An institutional cardiac imaging database was queried for all patients with a positive COVID-19 PCR test, who subsequently underwent a CMR for post-COVID recovery cardiac symptoms. Severity of COVID-19 symptoms were assessed using a checklist of mild symptoms and more severe symptoms as defined by the Centers for Disease Control, Atlanta GA. Mild symptoms included: fever/chills, cough, fatigue, body aches, headache, loss of taste/smell, sore throat, congestion, and nausea vomiting diarrhea. More severe symptoms included: shortness of breath, chest pain, and confusion. For each patient, prevalence of these symptoms was assessed at the time of initial diagnosis, and then again post-COVID recovery, just prior to the time of CMR. Inflammatory heart disease (IHD) was defined as pericarditis and/or myocarditis using the recently modified Lake Louise criteria, including T1 and T2 relaxation mapping. Results 58 patients with a positive COVID-19 PCR test were identified, who subsequently underwent a CMR study for evaluation of cardiac symptoms. 36 patients (62%) had no symptoms at the time of initial diagnosis, while 7 patients (12%) had mild symptoms. Lastly, 15 patients (26%) had more severe symptoms at the time of initial diagnosis. All CMR studies were prompted by the subsequent development of shortness of breath or chest pain. Detection rates of IHD in these 3 groups of patients is delineated in Figure 1. A chi-squared test was used to assess any statistically significant differences in the CMR detection rate of IHD based on initial symptoms. There was no significant difference in the likelihood of IHD based on initial COVID symptoms (p-value=0.856). Conclusion Forty-three of 58 patients (74%) with no/mild symptoms at the time of initial COVID-19 diagnosis developed more severe post-COVID symptoms requiring CMR. In contrast, 15 of 58 patients (26%) with more severe symptoms at the time of initial COVID-19 diagnosis had persistence of these symptoms requiring CMR. These data suggest that the severity of symptoms on initial presentation with COVID-19 does not predict post-COVID recovery symptoms or CMR findings of inflammatory heart disease. FUNDunding Acknowledgement Type of funding sources: None.


1993 ◽  
Vol 2 (1) ◽  
pp. 89-97

Mr. K. was a 28-year-old professional ice skater who presented to the emergency room with shortness of breath that had gotten worse over several weeks, accompanied by left pleuritic chest pain, cyanosis, and a cough productive of green-brown sputum. He had been unable to take food well for about 10 days because of shortness of breath and general malaise.His past medical history included an episode of esophageal candidiasis diagnosed by endoscopy 4 months prior to admission. He had been otherwise healthy. He was homosexual with multiple partners. An HIV test was done 1 year previously, but he never found out the result. He had avoided regular medical care. He was from Australia and had no kin in the United States.


Author(s):  
S. Vijayachitra

The majority of people will suffer heart attacks (Dr. A. Abdul Jallel, Personal communication, December 10, 2005). To confirm the disease, patients need to undergo tests like ECG, treadmill, etc., which cost money and time. After heavy expenses and large duration only, they come to know whether they are affected by a heart attack or another disease. To help the people, it is planned to give a suitable solution by an emerging technology called “Neuro-Fuzzy.” The main objective of this chapter is to identify the symptom called “angina,” which is severe chest pain prior to a heart attack. With various symptoms like location of pain, radiation of pain, precipitation of pain, duration of pain, cholesterol, smoking, family history, angina can be diagnosed. After the diagnosis, it is possible to know angina's severity, and based on it, a biopsy is recommended for the affected people.


2016 ◽  
Vol 10 (3) ◽  
pp. 66 ◽  
Author(s):  
Abbas Nasrabadi ◽  
Javad Haddadnia

<p class="zhengwen">Today the heart disease is one of the most important causes of death in the world. So its early prediction and diagnosis is important in medical field, which could help in on time treatment, decreasing health costs and decreasing death caused by it. In fact the main goal of using data mining algorithms in medicine by using patients’ data is better utilizing the database and discovering tacit knowledge to help doctors in better decision making.</p><p class="zhengwen">Therefore using data mining and discovering knowledge in cardiovascular centers could create a valuable knowledge, which improves the quality of service provided by managers, and could be used by doctors to predict the future behavior of heart diseases using past records. Also some of the most important applications of data mining and knowledge discovery in heart patients system includes: diagnosing heart attack from various signs and properties, evaluating the risk factors which increases the heart attack.</p>In this article the effort focused on evaluating the previous works on discovering knowledge using data mining in heart diseases field, and also explain the used algorithms in every one of the previous works, to help the future researchers to gain maximum benefits from these abilities. Because of this, in the next sections, first we will explain various works in data mining field using heart patients’ data, and will show the ability of data mining in various applications of heart disease field, and based on a table will show the history of data mining and it’s applications in heart diseases field. Finally we will provide the best methods and algorithms used in various applications of heart diseases using a comparison and will show the results in a table. It is obvious in the diagrams that the suggested method has the best performance and best quality in prediction.


Sign in / Sign up

Export Citation Format

Share Document