The descriptive study of the sample variables (Table 1)
We start our study of coronary ischemia cases for patients admitted to Damascus Hospital by describing the demographic information of the studied sample in detail as follows, and we start by referring to the sex of the patients admitted, and we find that only one-fifth of the cases were females, while the rest of the cases were males, and here we refer to a male to female ratio of 5:1.
On the other hand, we talk about an important factor in the context of the study of coronary heart diseases related to the study of the distribution of the sample members in terms of age. This shows that CHD tends to be concentrated in older age groups, as expected. And by dividing the sample into 3 main age groups, we find that the majority of ages are concentrated within the age group of 31-40, with a rate of 87.5.
After detailing the specifications of our sample in terms of gender and age, we move on to describe a group of habits and basic factors that contribute to measuring the risk of developing and warning coronary syndrome in different ages, especially those under 40 years old, and starting with smoking habits, and in our sample the greatest percentage of The accepted patients are mainly cigarette smokers, as their percentage is 62%, while a third of the patients are non-smokers, and a small percentage of them, about 4.5%, are hookah smokers. As for estimating the amount of smoking among smokers, we asked the question about the number of cigarettes that patients usually smoke per day, and here we found that the average number was about 17 cigarettes per day on average.
With regard to alcohol habits, we also seek here to correlate them with coronary heart disease of the sample members, and here we find that the majority of the sample do not drink alcoholic beverages by 93.5%, while a small percentage drink it regularly.
only one third of the patients from our studied sample whose age is less than 40 years suffer from high arterial pressure, only 34% of them. As for discussing diabetes as an important risk factor for infection, we find that only about a quarter of the sample suffers from diabetes, or 23%. With regard to high cholesterol values among accepted patients, we find positive cases in only about 14.5% of the sample members.
Next, we will separate the most common complaints associated with coronary heart injury in admitted patients. We note, as expected, that the most common symptom is chest pain, which in about half of the cases shows a transition between the shoulder, arm, elbow, back and jaw, and is also associated with 56% sweating. And a feeling of dizziness in one third of the cases.
With regard to the distribution of the sample members according to the type of coronary heart disease that occurred, we find here that the vast majority are patients with acute coronary syndrome 97% of its different types, while only 3% of them suffer from stable angina, and accordingly we will conduct our subsequent study to link each of the factors The previous risk is due to the occurrence of each of the two cases in detail and with standard statistical tests.
Table 1. Descreptive Statistics
|
Variable
|
Frequency (n)
|
Percent (%)
|
Age
|
Less than 20 years
21-30 years
31-40 years
|
1
24
175
|
0.5
12
87.5
|
Gender
|
Male
Female
|
158
42
|
79
21
|
Smoking
|
non smoker
cigarette smoker
hookah smoker
|
67
124
9
|
33.5
62
4.5
|
Alcohol consuming
|
no
On occasions only
yes
|
187
3
10
|
93.5
1.5
5
|
HTN
|
No
yes
|
132
68
|
66
34
|
DM
|
No
yes
|
154
46
|
77
23
|
High levels of cholesterol in the blood
|
No
yes
|
171
29
|
85.5
14.5
|
Main Complain
|
Coincidence
chest pain
Breathing difficulty
feeling dizzy
sweating
vomiting
nausea
palpitation
headache
|
1
185
46
67
112
33
8
1
1
|
0.5
92.5
23
33.5
56
16.5
4
0.5
0.5
|
The type of heart disease the patient has
|
Stable angina
acute coronary syndrome
|
6
194
|
3
97
|
Total
|
200
|
100
|
Study of the relationship between cardiac ischemia and risk factors (Table 2)
Gender: There is usually no significant and significant association between gender and CHD in different age groups. In the context of our study, we find that the Chi-Square test confirms that there is no statistically significant relationship between gender and CHD pattern, where P-Value > 0.05.
Age: Here we find a significant and significant correlation between age and coronary heart disease pattern in individuals. Here, we find that the average age of acute coronary syndrome patients is about 35.5, which is greater than that of stable angina patients who have an average age of about 31.5, which is Remarkably in the context of our sample studied.
Smoking: With regard to smoking, we find here a correlation that can be considered statistically significant between smoking habits and coronary heart injury pattern, the value of the margin of error here is slightly less than 0.05. But in the application of the ANOVA test to understand the association of the number of cigarettes smoked per day with the coronary heart disease pattern in the accepted individuals, indicates the absence of the association as well, and here P-Value >> 0.05 confirms this and remarkably, we conclude here that the association of smoking with the pattern of heart injury Corona at ages younger than 40 years is not of significant statistical significance in the context of our sample.
Consumption of alcoholic beverages: Here we see that the relationship is not achieved and is not statistically reliable. We find that P-Value >> 0.05, and here it can be concluded that the coronary heart injury pattern in our accepted patients is not related to drinking alcohol in our studied sample.
Arterial hypertension: Likewise here, we find that arterial hypertension does not have any statistically reliable effect on the pattern of coronary heart injury, especially in the age group of the studied sample less than 40 years, where P-Value >> 0.05.
Family history: For this factor, here also the results of Chi-Square test application indicate that there is no association between the family history of a history of coronary heart injury or ischemia, with the occurrence of a certain pattern of coronary heart disease patterns (stable angina or coronary heart syndrome in patients younger than 40 years.
Diabetes Mellitus: Table 26 shows a detail of the Chi-Squared test that links the history of diabetes in the admitted patients with their coronary heart disease pattern, and here we see that the relationship is unrealized and not statistically reliable, so we find that P-Value >> 0.05, and Here it can be concluded that the coronary heart disease pattern in our accepted patients is not associated with diabetes mellitus in our studied sample of patients under the age of 40 years.
High cholesterol: With regard to high cholesterol values in our eye patients, here also the results of the application of the Chi-Square test indicate that there is no association between the presence of high blood cholesterol values, and the occurrence of a certain pattern of coronary heart disease patterns (stable angina or coronary heart syndrome in younger patients from 40 years old.
We conclude here that all the risk factors for coronary heart disease of all kinds, which showed a common and usually high correlation with injuries in large age groups, appear less common and less correlation in age groups younger than 40, remarkably in our studied sample of coronary heart disease patients admitted to Al-Mujtahid Hospital. With the exception of smoking, which is correlated, albeit statistically insignificant.
Table2. Study of risk factors for the development of otitis media
|
|
The type of heart disease the patient has
|
P. Value
|
Stable angina
|
acute coronary syndrome
|
Gender
|
Male
Female
|
6
0
|
152
42
|
0.23
|
Age
|
|
31±7
|
35±4
|
0.01
|
Smoking
|
non smoker
cigarette smoker
hookah smoker
|
1
3
2
|
66
121
7
|
0.02
|
Alcohol consuming
|
no
On occasions only
yes
|
5
0
1
|
182
3
9
|
0.39
|
HTN
|
No
yes
|
2
4
|
130
64
|
0.08
|
DM
|
No
yes
|
3
3
|
151
43
|
0.11
|
High levels of cholesterol in the blood
|
No
yes
|
4
2
|
167
27
|
0.18
|
Do any of your relatives (father, mother, brothers, grandfather, grandmother) have a history of ischemia?
|
No
I don’t know
yes
|
4
0
2
|
113
3
78
|
0.89
|
Total
|
|
6
|
194
|
|