scholarly journals Deteriorated clinical outcome in coronary artery disease patients with a high prevalence of Porphyromonas gingivalis infection

2016 ◽  
Vol 11 ◽  
pp. 7-12 ◽  
Author(s):  
Daisuke Tezuka ◽  
Jun-ichi Suzuki ◽  
Hisanori Kosuge ◽  
Norio Aoyama ◽  
Yuichi Izumi ◽  
...  
1977 ◽  
Author(s):  
S. K. Durairaj ◽  
A. H. Khan ◽  
L. J. Haywood

Risk factors were compared in 42 patients (pts) with coronary artery disease (CAD) and 18 with radiographically patent arteries (RPA) on angiography performed three weeks to six months after documented myocardial infarction (Ml). All pts had typical clinical and laboratory findings during the acute attack. All pts were below age 50 and both groups had a similar distribution of racial background (Caucasian, black and Mexican-American). Psychiatric problems were not more frequent in either group. The data demonstrated a high prevalence of standard risk factors in the CAD group for hypertension (28 of 42 = 67%), hypercholesterolemia (25 of 42 = 60%) and smoking (17 of 42 = 64%), and similarly high prevalence of smoking (16 of 18 = 89%), heavy labor (12 of 18 = 61%) and obesity (9 of 18 = 50%) in the RPA group. Factors significantly more common in the CAD group as compared to the RPA group by the Chi Square test were:Hypertension (P < 0.001), hypercholesterolemia (P < 0.001), diabetes (P < 0.001), and family history (P < 0.05). Factors more common in the RPA group were heavy alcohol consumption (P < 0.001), smoking (P < 0.05), heavy laborer occupation (P < 0.001) and obesity (P < 0.001). The data suggest that risk factor screening would identify individuals at risk from coronary artery disease but would be unreliable in identifying individuals at risk for MI with RPA. Further study is indicated to determine what factors operate to produce ischemia and infarction in the RPA group of pts.


2021 ◽  
Vol 3 (5) ◽  
pp. 52-55
Author(s):  
Khudayenoor ◽  
Ayesha Shaheen ◽  
Aimen Fatima ◽  
Zohaib Saleem ◽  
Hafeez Arshad ◽  
...  

Coronary artery disease (CAD) is a very ordinary health problem around the globe. CAD is affected by numerous factors like diabetes, obesity, smoking, gender, and diet. However, the association of CAD with diet is understudied in our region that’s why our study was aimed to evaluate the effect of diet on CAD incidence. This cross-sectional study was completed among local population of Rawalpindi, Pakistan in almost 6 months from November 2020 to April 2021. People were taken in our study via set criteria. Data was collected by self-structured proforma. Data analysis was performed by applying IBM SPSS version 25. Descriptive statistics were applied for quantitative variables. Statistical tests like Chi-square test and Spearman correlation analysis were applied to know the association, direction, and strength of study variables. Our current study displays overall high prevalence CAD (17.48%) among study population. Mean value of age for study participants was 45.42 with SD of ±8.01years. Prevalence of CAD was more common among females, faster food eaters and fresh fruit and raw vegetables non-eaters. Gender, fast food, and fresh fruits and vegetables were associated with CHD significantly with p-values 0.030, 0.0007, and 0.0006 respectively. Strength and direction for fast food and CAD association was very strong and positive while for association between fresh fruits and raw vegetables and CAD was very strong and negative with correlation coefficient +0.812 and -0.831 respectively. In a nutshell, current study indicates high prevalence of CAD especially among females, fast food eaters and fresh fruits and raw vegetables non-eaters. Higher consumption of fast foods leads to higher incidence of CAD and vice versa while higher consumption of fresh fruits and raw vegetables bring down the incidence of CAD incidence and vice versa. So, we need to create awareness among people about the impact of food on CAD and gender specific interventions for each gender to lower down the CAD incidence.


2007 ◽  
Vol 100 (4) ◽  
pp. 569-574 ◽  
Author(s):  
Teruo Inoue ◽  
Norihiko Kotooka ◽  
Toshifumi Morooka ◽  
Hiroshi Komoda ◽  
Toshihiko Uchida ◽  
...  

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