<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">WJCD</journal-id><journal-title-group><journal-title>World Journal of Cardiovascular Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-5329</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjcd.2018.86030</article-id><article-id pub-id-type="publisher-id">WJCD-85501</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Benefits of Patients’ Information regarding Dietary Habits before Percutaneous Coronary Intervention: A 3- and 6-Month Follow-Up
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Argyriou</surname><given-names>George</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vasilopoulos</surname><given-names>George</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mavrogianni</surname><given-names>Georgia</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Toulia</surname><given-names>Georgia</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Louka</surname><given-names>Aikaterini</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Louka</surname><given-names>Sofia</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Karagiannis</surname><given-names>Anastasios</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lazos</surname><given-names>Gabriel</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marvaki</surname><given-names>Aikaterini</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kadda</surname><given-names>Olga</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff6"><addr-line>General Hospital of Katerini, Greece</addr-line></aff><aff id="aff4"><addr-line>Graduates of Nursing Department, Technological Educational Institute of Athens, Greece</addr-line></aff><aff id="aff2"><addr-line>Nursing Department, Technological Educational Institute of Athens, Greece</addr-line></aff><aff id="aff3"><addr-line>Cardiological Intensive Care Unit, “Konstantopoulio” General Hospital of N. Ionias, Greece</addr-line></aff><aff id="aff5"><addr-line>Cardiological Intensive Care Unit, Onassis Cardiac Surgery Centre, Greece</addr-line></aff><aff id="aff1"><addr-line>Intensive Care Unit, 1st Department of Respiratory Medicine, National and Kapodistrian University of Athens, “Sotiria” Gen-eral Chest Diseases Hospital, Greece</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ageorge2000@yahoo.com(AG)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>11</day><month>06</month><year>2018</year></pub-date><volume>08</volume><issue>06</issue><fpage>307</fpage><lpage>318</lpage><history><date date-type="received"><day>19,</day>	<month>April</month>	<year>2018</year></date><date date-type="rev-recd"><day>22,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>25,</day>	<month>June</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Aim:
   To evaluate the benefits of counseling intervention related to dietary habits changes on patients following percutaneous coronary intervention (PCI).<b> Materials and Methods: </b>A randomized counseling intervention study, with a 3
  -
   and 6-month follow-up was performed on 230 patients who underwent PCI. They were randomly allocated to the intervention (n
   
  =
   
  93) or the control group (n
   
  =
   
  137). A 3
  -
   and 6-month telephone follow-up was performed for dietary habits evaluation. Data analysis was performed by using the statistical package SPSS, ver. 20. <b>Results:</b> Compared with control group, intervention group had higher prevalence of hypertension, history of diabetes and dyslipidemias and history of acute myocardial infraction, with no statistical difference. Moreover, patients in control group were more likely to be ex-smokers (p
   
  =
   
  0.01). 
  Post hoc tests using the Bonferroni correction revealed that mean TCHOL concentration while patients admitted to hospital differed statistically significantly between the time points of 3 and 6 months (209
   
  &#177;
   
  67
   
  mg/dl vs 174
   
  &#177;
   
  34
   
  mg/dl vs 176
   
  &#177;
   
  36
   
  mg/dl), p
  
  =
   
  0.005 and p
   
  =
   
  0.042 respectively. However, there was no statistical significant difference between 3 months and 6 months measurements. Mean glucose concentration while patients admitted to hospital differ
  ed
   statistically significantly between the time points of 3 and 6 months (108
   
  &#177;
   
  40
   
  mg/dl vs 95
   
  &#177;
   
  21
   
  mg/dl vs 95
   
  &#177;
   
  23
   
  mg/dl), p
   
  =
  
  0.009 and p
   
  =
   
  0.012 respectively. However, there was no significant statistical difference between 3 months and 6 months measurements, (p
   
  =
   
  1.000). <b>Conclusion</b>: A nurse-led program regarding dietary habits modifications on patients undergoing PCI should be performed along with a long-term follow up after hospital discharge.
 
</p></abstract><kwd-group><kwd>Dietary Habits Intervention</kwd><kwd> MedDietScore</kwd><kwd> Percutaneous Coronary  Intervention</kwd><kwd> Patient’s Information</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Coronary heart disease (CHD) remains one of the leading causes of mortality worldwide; in 2012 an estimated 17.5 million people died from cardiovascular disease representing 31% of all global deaths [<xref ref-type="bibr" rid="scirp.85501-ref1">1</xref>] . Researchers [<xref ref-type="bibr" rid="scirp.85501-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85501-ref3">3</xref>] continue to study and draw their attention to the risk factors responsible for CHD events. Risk factors are strongly associated with each other and often build on one another; such as excess body weight leads to diabetes of high blood pressure. Dietary interventions are proposed to initiate preferably during childhood so as to prevent coronary events in the early age [<xref ref-type="bibr" rid="scirp.85501-ref4">4</xref>] .</p><p>The traditional Mediterranean diet has been described to moderate the development of CHD and reduce the risk of CHD events [<xref ref-type="bibr" rid="scirp.85501-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85501-ref6">6</xref>] . This kind of diet is low in saturated fat and has 9 components: a high consumption of olive oil, legumes, cereals, fruits, and vegetables; a moderate to high consumption of fish, low to moderate consumption of dairy products (cheese, yogurt), moderate consumption of red wine and low consumption of meat [<xref ref-type="bibr" rid="scirp.85501-ref6">6</xref>] .</p><p>This pattern can reduce the risk of developing an acute coronary syndrome (ACS) in people at high cardiovascular risk (primary prevention) [<xref ref-type="bibr" rid="scirp.85501-ref7">7</xref>] or those with established CHD (secondary prevention) [<xref ref-type="bibr" rid="scirp.85501-ref8">8</xref>] . The beneficial effects of dietary modifications are widely discussed in recent studies [<xref ref-type="bibr" rid="scirp.85501-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.85501-ref10">10</xref>] giving emphasis to cholesterol levels, weight and diabetes management, fiber and fish oils consumption.</p><p>Health care professionals have the opportunity while patients hospitalized to advice on risk factors and dietary habits modification [<xref ref-type="bibr" rid="scirp.85501-ref11">11</xref>] . The results of an education programme on patient outcome depend upon patients’ adherence to recommendations. A well structured prevention programme can be developed with the support of a well organized health care system. Nurses led programmes are proved to be an effective way to reduce CVD events of high risk persons [<xref ref-type="bibr" rid="scirp.85501-ref12">12</xref>] and skilled nurses can provide education related to dietary habits so as to improve CVD’s outcomes [<xref ref-type="bibr" rid="scirp.85501-ref13">13</xref>] .</p></sec><sec id="s2"><title>2. Aim</title><p>The aim of the present study was to evaluate the benefits of counseling intervention, related to dietary habits changes for patients following percutaneous coronary intervention (PCI).</p></sec><sec id="s3"><title>3. Materials and Methods</title><sec id="s3_1"><title>3.1. Study Design</title><p>A randomized controlled single-blind counseling intervention study; random numbers tables were used, with 3 and 6 month follow-up.</p></sec><sec id="s3_2"><title>3.2. Participants</title><p>During January 2011 to December 2012, 239 patients who underwent percutaneous coronary intervention were initially considered as appropriate to enroll in the study. Of them, 93 (intervention group) were randomly allocated lifestyle counseling while the remaining 137 patients (control group) received the regular instructions. According to the exclusion criteria 9 patient were finally excluded because: n = 2 were not able to cooperate and provide written informed consent; n = 3 were under specific dietary recommendations; n = 1 was unable to understand the Greek language; n = 3 participated in another trial at the same period of time, (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Patient who had percutaneous coronary intervention for the first time were included to the study. The exclusion criteria for the participants were foreign language and absence of patients’ informed consent. Moreover,</p><p>patients who participated in another trial during the same period of time were excluded.</p></sec><sec id="s3_3"><title>3.3. Procedure of the Intervention</title><p>During the first interview with the patient, a questionnaire was completed by a specialized clinical nurse. The control group received regular oral instructions the usual recommendations from the nursing staff (according to the hospitals protocol). The hospitals protocol refers to simplified general instructions related to healthy diet. The intervention group received written information by administrating a booklet with specific dietary recommendations. The pattern of Mediterranean diet [<xref ref-type="bibr" rid="scirp.85501-ref14">14</xref>] was underlined. Specifically, they were consulted to consume non refined products, fruits, vegetables, olive-oil, in a daily basis; fish, poultry, and nuts in a weekly basis, and rarely sweets. Red meat and meat products should be in their monthly options; 4 servings per month). Moreover, they were instructed to retain a normal body weight or to consult a dietitian if necessary (i.e. patients with excess body weight). In order to follow patients’ adherence to the Mediterranean dietary (MD) pattern, the MedDietScore (range 0 - 55) was used [<xref ref-type="bibr" rid="scirp.85501-ref14">14</xref>] . A higher value of MedDietScore indicates greater adherence to Mediterranean diet.</p></sec><sec id="s3_4"><title>3.4. Follow-Up</title><p>Three and six months after hospital discharge a telephone follow up took place so as to assess patients’ adherence to dietary advice. The main reason for choosing the 3 and 6 months time after hospital discharge was the fact that, according to literature, patients undergone stent implemention should be followed regularly (every three to six months) as this a high risk period for patients with acute coronary syndrome [<xref ref-type="bibr" rid="scirp.85501-ref15">15</xref>] .<sup> </sup></p></sec><sec id="s3_5"><title>3.5. Measurements</title><p>Patients were interviewed by a specialized clinical nurse as for their demographic characteristics (age, sex, family status, financial status, educational status and profession) and their medical history (history and management of hypertension, diabetes, dyslipidaimias; family medical history of CVD and their current medication treatment). The Body Mass Index was also recorded.</p></sec></sec><sec id="s4"><title>4. Ethical Considerations</title><p>The necessary permission was obtained from each hospital’s Ethics Committee. Patients were informed about the purpose of the study, the voluntary nature and the confidentiality of the research and a written informed consent was completed.</p></sec><sec id="s5"><title>5. Statistical Analysis</title><p>Continuous variables are presented as mean values &#177; standard deviation, and categorical variables as frequencies. Baseline characteristics were compared by applying chi-square test for categorical variables and independent samples t-test for continuous variables. A repeated measures ANOVA analysis so as One-way ANOVA analysis was applied. Data analysis was performed by using the statistical package SPSS, ver. 20.</p></sec><sec id="s6"><title>6. Results</title><p>The demographic and baseline clinical characteristics of the studied sample are presented in <xref ref-type="table" rid="table1">Table 1</xref>. Compared with control group, intervention group had higher prevalence of hypertension, history of diabetes and dyslipidemias and history of acute myocardial infraction, with no statistical difference. Moreover, patients in control group were more likely to be ex-smokers (p = 0.01).</p><p>In <xref ref-type="table" rid="table2">Table 2</xref>, the results according to patient’s outcome, adherence to MedDietScore and laboratory findings at 3 months following PCI are presented. As for laboratory findings, compared with control group, intervention group had lower total cholesterol and LDL concentration at 3 months following PCI but lower MedDietScore.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic and clinical characteristics of the studied sample who underwent percutaneous coronary intervention, (N = 230)</title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Intervention group (n = 93)</th><th align="center" valign="middle" >Control Group (n = 137)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle"  colspan="4"  >Demographic characteristics</td></tr><tr><td align="center" valign="middle" >Gender (men), n (%)</td><td align="center" valign="middle" >72 (39.8)</td><td align="center" valign="middle" >109 (60.2)</td><td align="center" valign="middle" >0.40</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Marital status</td></tr><tr><td align="center" valign="middle" >Married, n (%)</td><td align="center" valign="middle" >69 (74.2)</td><td align="center" valign="middle" >108 (79.4)</td><td align="center" valign="middle"  rowspan="4"  >0.65</td></tr><tr><td align="center" valign="middle" >Unmarried, n (%)</td><td align="center" valign="middle" >4 (4.3)</td><td align="center" valign="middle" >7 (5.1)</td></tr><tr><td align="center" valign="middle" >Divorced, n (%)</td><td align="center" valign="middle" >6 (6.5)</td><td align="center" valign="middle" >5 (3.7)</td></tr><tr><td align="center" valign="middle" >Widowed, n (%)</td><td align="center" valign="middle" >14 (15.1)</td><td align="center" valign="middle" >16 (11.8)</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Financial status (annual income)</td></tr><tr><td align="center" valign="middle" >Bad (&lt;9000 euro), n (%)</td><td align="center" valign="middle" >18 (19.4)</td><td align="center" valign="middle" >36 (26.5)</td><td align="center" valign="middle"  rowspan="5"  >0.40</td></tr><tr><td align="center" valign="middle" >Moderate (9001-18000 euro), n (%)</td><td align="center" valign="middle" >50 (53.8)</td><td align="center" valign="middle" >63 (46.3)</td></tr><tr><td align="center" valign="middle" >Good (18001-28000 euro), n (%)</td><td align="center" valign="middle" >16 (17.2)</td><td align="center" valign="middle" >18 (13.2)</td></tr><tr><td align="center" valign="middle" >Very good (&gt;28000 euro), n (%)</td><td align="center" valign="middle" >1 (1.1)</td><td align="center" valign="middle" >5 (3.7)</td></tr><tr><td align="center" valign="middle" >No answer, n (%)</td><td align="center" valign="middle" >8 (8.6)</td><td align="center" valign="middle" >14 (10.3)</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Clinical characteristics</td></tr><tr><td align="center" valign="middle" >History of hypertension (Yes, n (%))</td><td align="center" valign="middle" >39 (41.9)</td><td align="center" valign="middle" >70 (51.1)</td><td align="center" valign="middle" >0.10</td></tr><tr><td align="center" valign="middle" >History of diabetes (Yes, n (%))</td><td align="center" valign="middle" >32 (34.4)</td><td align="center" valign="middle" >41 (31.1)</td><td align="center" valign="middle" >0.35</td></tr><tr><td align="center" valign="middle" >Family history of CVD (Yes, n (%))</td><td align="center" valign="middle" >39 (41.9)</td><td align="center" valign="middle" >70 (52.6)</td><td align="center" valign="middle" >0.07</td></tr><tr><td align="center" valign="middle" >History of dyslipidemias (Yes, n (%))</td><td align="center" valign="middle" >47 (50.5)</td><td align="center" valign="middle" >83 (63.8)</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >Smoker (at baseline) (Yes, n (%))</td><td align="center" valign="middle" >23 (26.1)</td><td align="center" valign="middle" >35 (28)</td><td align="center" valign="middle" >0.44</td></tr><tr><td align="center" valign="middle" >Ex smoker (Yes, n (%))</td><td align="center" valign="middle" >76 (86.4)</td><td align="center" valign="middle" >91 (72.8)</td><td align="center" valign="middle" >0.01</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >History of AMI (Yes, n (%))</th><th align="center" valign="middle" >75 (80.6)</th><th align="center" valign="middle" >104 (75.9)</th><th align="center" valign="middle" >0.24</th></tr></thead><tr><td align="center" valign="middle" >History of chronic kidney disease (Yes, n (%))</td><td align="center" valign="middle" >14 (15.1)</td><td align="center" valign="middle" >16 (11.7)</td><td align="center" valign="middle" >0.29</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Respiratory system</td></tr><tr><td align="center" valign="middle" >Normal (Yes, n (%))</td><td align="center" valign="middle" >76 (82.6)</td><td align="center" valign="middle" >115 (83.9)</td><td align="center" valign="middle"  rowspan="3"  >0.93</td></tr><tr><td align="center" valign="middle" >COPD (Yes, n (%))</td><td align="center" valign="middle" >15 (16.3)</td><td align="center" valign="middle" >21 (15.3)</td></tr><tr><td align="center" valign="middle" >Asthma (Yes, n (%))</td><td align="center" valign="middle" >1 (1.1)</td><td align="center" valign="middle" >1 (0.7)</td></tr><tr><td align="center" valign="middle" >Age (years)<sup>a</sup></td><td align="center" valign="middle" >60.8 &#177; 11.5</td><td align="center" valign="middle" >62.3 &#177; 10.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI (Kg/m<sup>2</sup>) (baseline)<sup>a</sup></td><td align="center" valign="middle" >27.3 &#177; 3.9</td><td align="center" valign="middle" >27.6 &#177; 4.4</td><td align="center" valign="middle" >0.57</td></tr><tr><td align="center" valign="middle" >Total cholesterol (mg/dl) (baseline)<sup>a</sup></td><td align="center" valign="middle" >215.4 &#177; 67.4</td><td align="center" valign="middle" >196.7 &#177; 56.3</td><td align="center" valign="middle" >0.07</td></tr><tr><td align="center" valign="middle" >LDL cholesterol (mg/dl) (baseline)<sup>a</sup></td><td align="center" valign="middle" >126 &#177; 34.5</td><td align="center" valign="middle" >127.1 &#177; 40.1</td><td align="center" valign="middle" >0.86</td></tr><tr><td align="center" valign="middle" >HDL cholesterol (mg/dl) (baseline)<sup>a</sup></td><td align="center" valign="middle" >42.3 &#177; 20.4</td><td align="center" valign="middle" >43.8 &#177; 17.0</td><td align="center" valign="middle" >0.63</td></tr><tr><td align="center" valign="middle" >TGL (mg/dl) (baseline)<sup>a</sup></td><td align="center" valign="middle" >167 &#177; 51</td><td align="center" valign="middle" >161 &#177; 75</td><td align="center" valign="middle" >0.52</td></tr><tr><td align="center" valign="middle" >Blood glucose (mg/dl) (baseline)<sup>a</sup></td><td align="center" valign="middle" >156.9 &#177; 100</td><td align="center" valign="middle" >147 &#177; 82.3</td><td align="center" valign="middle" >0.45</td></tr></tbody></table></table-wrap></table-wrap-group><p>AMI: Acute Myocardial Infarction; COPD: Chronic Obstructive Pulmonary Disease; BMI: Body Mass Index; LDL: Low Density Lipoprotein; HDL: High Density Lipoprotein; TGL: Triglyceride; CVD: Cardiovascular Disease. <sup>a</sup> Mean &#177; standard deviation.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Results according to patient’s outcome, adherence to MedDietScore and laboratory findings at 3 months following percutaneous coronary intervention</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Intervention group (n = 93)</th><th align="center" valign="middle" >Control Group (n = 137)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Hospital resubmission, (Yes, n (%))</td><td align="center" valign="middle" >18(20.5)</td><td align="center" valign="middle" >28(22.4)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >3-months fatal outcome, (Yes, n (%))</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5(3.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI (Kg/m<sup>2</sup>)<sup> a</sup></td><td align="center" valign="middle" >26.9 &#177; 3.9</td><td align="center" valign="middle" >27.3 &#177; 4.2</td><td align="center" valign="middle" >0.45</td></tr><tr><td align="center" valign="middle" >MedDietScore (range 0 - 55)<sup>a</sup></td><td align="center" valign="middle" >29.1 &#177; 4.7</td><td align="center" valign="middle" >31.1 &#177; 4.5</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >Total cholesterol (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >179.3 &#177; 36.8</td><td align="center" valign="middle" >180.9 &#177; 38.2</td><td align="center" valign="middle" >0.83</td></tr><tr><td align="center" valign="middle" >LDL cholesterol (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >116.5 &#177; 35.6</td><td align="center" valign="middle" >128.7 &#177; 33</td><td align="center" valign="middle" >0.10</td></tr><tr><td align="center" valign="middle" >HDL cholesterol (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >43.9 &#177; 17</td><td align="center" valign="middle" >50.9 &#177; 22.4</td><td align="center" valign="middle" >0.10</td></tr><tr><td align="center" valign="middle" >TGL (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >143 &#177; 36</td><td align="center" valign="middle" >150 &#177; 45</td><td align="center" valign="middle" >0.37</td></tr><tr><td align="center" valign="middle" >Blood glucose (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >135.1 &#177; 72.8</td><td align="center" valign="middle" >116.7 &#177; 49.6</td><td align="center" valign="middle" >0.09</td></tr></tbody></table></table-wrap><p>BMI: Body Mass Index; LDL: Low Density Lipoprotein; HDL: High Density Lipoprotein; <sup>a</sup> Mean &#177; standard deviation.</p><p>In <xref ref-type="table" rid="table3">Table 3</xref>, the results according to patient’s outcome, adherence to MedDietScore and laboratory findings at 6 months following PCI are presented. As for laboratory findings, compared with control group, intervention group had lower LDL and blood glucose concentration at 6 months following PCI and the same MedDietScore.</p><p>A repeated measures ANOVA analysis was applied so as to compare TCHOL, HDLC, LDLC, TGL and blood glucose between 3 time points; during patient’s admission to hospital, 3 months and 6 months after hospital discharge. All comparisons were applied to the total studied sample. In <xref ref-type="table" rid="table4">Table 4</xref>, results</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Results according to patient’s outcome, adherence to MedDietScore and laboratory findings at 6 months following percutaneous coronary intervention</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Intervention group (n = 93)</th><th align="center" valign="middle" >Control Group (n = 137)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Hospital resubmission, (Yes, n (%))</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5(6.4)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >6-months fatal outcome, (Yes, n (%))</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1(1.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >MedDietScore (range 0 - 55)<sup>a</sup></td><td align="center" valign="middle" >33.1 &#177; 3.6</td><td align="center" valign="middle" >33.1 &#177; 2.7</td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >Total cholesterol (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >174.2 &#177; 47.1</td><td align="center" valign="middle" >173.2 &#177; 42.2</td><td align="center" valign="middle" >0.94</td></tr><tr><td align="center" valign="middle" >LDL cholesterol (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >108.7 &#177; 37</td><td align="center" valign="middle" >122.6 &#177; 32.9</td><td align="center" valign="middle" >0.25</td></tr><tr><td align="center" valign="middle" >HDL cholesterol (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >47.9 &#177; 22</td><td align="center" valign="middle" >55.2 &#177; 30.5</td><td align="center" valign="middle" >0.41</td></tr><tr><td align="center" valign="middle" >TGL (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >126 &#177; 24</td><td align="center" valign="middle" >144 &#177; 47</td><td align="center" valign="middle" >0.11</td></tr><tr><td align="center" valign="middle" >Blood glucose (mg/dl)<sup>a</sup></td><td align="center" valign="middle" >95.3 &#177; 28.9</td><td align="center" valign="middle" >100.3 &#177; 19.6</td><td align="center" valign="middle" >0.43</td></tr></tbody></table></table-wrap><p>LDL: Low Density Lipoprotein; HDL: High Density Lipoprotein; <sup>a</sup> Mean &#177; standard deviation.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Results according to patients’ adherence to MedDietScore and demographic characteristics at 3 and 6 months follow up</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variables</th><th align="center" valign="middle" >Mean &#177; Standard Deviation</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >MedDietScore 3 months after PCI</td><td align="center" valign="middle" >Men</td><td align="center" valign="middle" >30.6 &#177; 4.8</td><td align="center" valign="middle"  rowspan="2"  >0.02</td></tr><tr><td align="center" valign="middle" >Women</td><td align="center" valign="middle" >28.7 &#177; 4.0</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >MedDietScore 6 months after PCI</td><td align="center" valign="middle" >Men</td><td align="center" valign="middle" >33.1 &#177; 3.0</td><td align="center" valign="middle"  rowspan="2"  >0.57</td></tr><tr><td align="center" valign="middle" >Women</td><td align="center" valign="middle" >33.7 &#177; 2.5</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >MedDietScore 3 months after PCI</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >30.8 &#177; 4.5</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.01</td></tr><tr><td align="center" valign="middle" >Unmarried</td><td align="center" valign="middle" >28.9 &#177; 3.9</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >29.4 &#177; 4.1</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >27.1 &#177; 5.3</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >MedDietScore 6 months after PCI</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >34.6 &#177; 2.5</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.01</td></tr><tr><td align="center" valign="middle" >Unmarried</td><td align="center" valign="middle" >33.5 &#177; 2.9</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >32.6 &#177; 3.0</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >30.3 &#177; 2.5</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >MedDietScore 3 months after PCI</td><td align="center" valign="middle" >Bad (&lt;9000 euro)</td><td align="center" valign="middle" >28.9 &#177; 5.2</td><td align="center" valign="middle"  rowspan="4"  >0.19</td></tr><tr><td align="center" valign="middle" >Moderate (9001 ? 18,000 euro)</td><td align="center" valign="middle" >30.6 &#177; 4.8</td></tr><tr><td align="center" valign="middle" >Good (18,001 - 28,000 euro)</td><td align="center" valign="middle" >30.3 &#177; 4.4</td></tr><tr><td align="center" valign="middle" >Very good (&gt;28,000 euro)</td><td align="center" valign="middle" >29.0 &#177; 4.8</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >MedDietScore 6 months after PCI</td><td align="center" valign="middle" >Bad (&lt;9000 euro)</td><td align="center" valign="middle" >32.3 &#177; 3.7</td><td align="center" valign="middle"  rowspan="4"  >0.12</td></tr><tr><td align="center" valign="middle" >Moderate (9001 - 18,000 euro)</td><td align="center" valign="middle" >33.6 &#177; 2.8</td></tr><tr><td align="center" valign="middle" >Good (18,001-28,000 euro)</td><td align="center" valign="middle" >34.3 &#177; 2.7</td></tr><tr><td align="center" valign="middle" >Very good (&gt;28,000 euro)</td><td align="center" valign="middle" >32.5 &#177; 3.3</td></tr></tbody></table></table-wrap><p>according to patients’ demographic characteristics in relation to MedDietScore, at 3 and 6 months follow up, are presented.</p><sec id="s6_1"><title>6.1. Cholesterol</title><p>A repeated measures ANOVA with a Greenhouse-Geisser correction determined that mean TCHOL concentration differed statistically significantly between the 3 time points (F (1.535, 49.105) = 7.183, p = 0.004). Post hoc tests using the Bonferroni correction revealed that mean TCHOL concentration while patients in both groups admitted to hospital differed statistically significantly between the time points of 3 and 6 months (209 &#177; 67 mg/dl vs 174 &#177; 34 mg/dl vs 176 &#177; 36 mg/dl), p = 0.005 and p = 0.042 respectively. However, there was no statistical significant difference between 3 months and 6 months measurements, (p = 1.000).</p></sec><sec id="s6_2"><title>6.2. HDL</title><p>A repeated measures ANOVA with a Greenhouse-Geisser correction determined that mean HDLC concentration did not differ statistically significantly between the 3 time points (F (1.848, 51,756) = 0.513, p = 0.587). Post hoc tests using the Bonferroni correction revealed that mean HDLC concentration while patients in both groups admitted to hospital did not differ statistically significantly between the time points of 3 and 6 months (47 &#177; 26 mg/dl vs 53 &#177; 19 mg/dl vs 52 &#177; 28 mg/dl), p = 0,861 and p = 1.000 respectively. However, there was no significant statistical difference between 3 months and 6 months measurements, (p = 1.000).</p></sec><sec id="s6_3"><title>6.3. LDL</title><p>A repeated measures ANOVA with a Greenhouse-Geisser correction determined that mean LDL concentration did not differ statistically significantly between the 3 time points (F (1.702, 47.664) = 2.174, p = 0.132). Post hoc tests using the Bonferroni correction revealed that mean LDL concentration while patients in both groups admitted to hospital did not differ statistically significantly between the time points of 3 and 6 months (137 &#177; 46 mg/dl vs 123 &#177; 36 mg/dl vs 120 &#177; 28 mg/dl), p = 0.299 and p = 0.339 respectively. However, there was no significant statistical difference between 3 months and 6 months measurements, (p = 1.000).</p></sec><sec id="s6_4"><title>6.4. TGL</title><p>A repeated measures ANOVA with a Greenhouse-Geisser correction determined that mean TGL concentration did not differ statistically significantly between the 3 time points (F (1.394, 37.645) = 9.102, p = 0.002). Post hoc tests using the Bonferroni correction revealed that mean TGL concentration while patients in both groups admitted to hospital differ statistically significantly between the time points of 3 and 6 months (167 &#177; 58 mg/dl vs 142 &#177; 33 mg/dl vs 136 &#177; 21 mg/dl), p = 0.009 and p = 0.010 respectively. However, there was no significant statistical difference between 3 months and 6 months measurements, (p = 0.798).</p></sec><sec id="s6_5"><title>6.5. Glucose</title><p>A repeated measures ANOVA with a Greenhouse-Geisser correction determined that mean blood glucose differ statistically significantly between the 3 time points (F (1.715, 94.304) = 7.522, p = 0.002). Post hoc tests using the Bonferroni correction revealed that mean glucose concentration while patients in both groups admitted to hospital differ statistically significantly between the time points of 3 and 6 months (108 &#177; 40 mg/dl vs 95 &#177; 21 mg/dl vs 95 &#177; 23 mg/dl), p = 0.009 and p = 0.012 respectively. However, there was no significant statistical difference between 3 months and 6 months measurements, (p = 1.000).</p></sec></sec><sec id="s7"><title>7. Discussion</title><p>According to the results of the present study, nursing intervention as regards the dietary habits after coronary artery angioplasty had a beneficial effect, as patients made an effort and achieved to control their blood glucose levels, 3 and 6 months after PCI. Although the intervention was also focused on lowering their lipid levels, there was no significant difference on their blood test results 3 or 6 months after their hospital discharge. A possible explanation of this finding is the fact that patients are not able to adjust with the new changes in their dietary habits and probably seek for more time to comply with the new lifestyle changes. Thus, it could be hypothesized that by providing more time to patients so as to follow the dietary recommendations, a significant difference could be achieved on controlling patients’ lipid levels.</p><p>In contrast to the present study, Anderson et al. [<xref ref-type="bibr" rid="scirp.85501-ref16">16</xref>] evaluated the effect of a behaviorally oriented secondary prevention program on lifestyle changes of patients treated with PCI. The follow up time was at 12, 24, 36 and 60 months after their hospital discharge and it was observed significantly lower rates of recurrent events and of cardiovascular mortality in the intervention group. Another approach to this finding is the differences of patients’ socioeconomic status.</p><p>According to the results of the present study, patients’ marital status seems to affect their adherence to MD pattern but it was not observed the same with their financial status. In contrary to our findings, Bonaccio et al. [<xref ref-type="bibr" rid="scirp.85501-ref17">17</xref>] <sup> </sup>in their cross-sectional study tried to examine associations of socioeconomic status with adherence to a MD pattern. According to their results, household higher income was significantly associated with greater adherence to a MD pattern. They also underlined that education level is independently associated with a great adherence to MD eating patterns.</p><p>Similarly, Erkkil&#228; et al. [<xref ref-type="bibr" rid="scirp.85501-ref18">18</xref>] in their study supported that patients’ socioeconomic status and mainly their educational level, may influence their dietary habits after a cardiac event. Panagiotakos et al. [<xref ref-type="bibr" rid="scirp.85501-ref19">19</xref>] also in their work investigated whether dietary habits are associated with socio-economic status. They concluded that groups with low socio-economic status showed less adherence to the Mediterranean diet compared with high socio-economic status groups; thus, in the first groups are observed higher CVD risk factors profile.</p><p>According to literature, patients who underwent to coronary angioplasty need to follow a specific eating pattern and adjust their eating habits in order to achieve better health outcomes and direct against heart disease progression [<xref ref-type="bibr" rid="scirp.85501-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.85501-ref21">21</xref>] .</p><p>While literature supports that women are more interested in following a healthier dietary pattern than men [<xref ref-type="bibr" rid="scirp.85501-ref22">22</xref>] , in our study a statistical significant difference between the gender and the adherence in Med Diet pattern was found, with men showing better scoring values than women. Approximately, our results revealed that married patients were more likely to comply with Med Diet than those who were unmarried, divorced or widowed. This may be explained by the traditional role of men and women in households, since married subjects are more responsible for preparing the meals and take the dietary habits into serious consideration than those who are unmarried, divorced or widowed.</p><p>Leblanc et al. [<xref ref-type="bibr" rid="scirp.85501-ref23">23</xref>] in their study tried to determine gender differences in long-term effects of a 12-week nutritional intervention program promoting the adoption of the MD pattern in men and women presenting cardiovascular risk factors. Their results demonstrated that men achieved more beneficial changes in long-term dietary intakes and showed greater improvement to their metabolic profile than women.</p><p>The association between healthy dietary habits with the presence of less acute coronary syndromes and better short-term prognosis became the subject of study for Panagiotakos et al. [<xref ref-type="bibr" rid="scirp.85501-ref6">6</xref>] . According to their findings, patients who followed healthy dietary habits based on Mediterranean pattern were less likely to have severe cardiac events and lower risk of death or rehospitalization 30 days after the event.</p></sec><sec id="s8"><title>8. Limitation of the Study</title><p>Our study has some limitations. The main limitation of the present study was the small sample size. In addition to that, culture and ethnicity are factors which may both play an important role in patients’ adherence with dietary advice but were not taken into consideration in the present study. Also, it may have been response bias due to misreporting or underreporting by patients who knew that they participated in an intervention trial and tried harder to perform better.</p></sec><sec id="s9"><title>9. Conclusion</title><p>The findings of the present study suggest that a nurse-led program regarding dietary habits modifications with a long term follow-up is of high importance for patients undergoing percutaneous coronary intervention.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>The authors declare that there is no conflict of interest regarding the publication of this article.</p></sec><sec id="s11"><title>Cite this paper</title><p>George, A., George, V., Georgia, M., Georgia, T., Aikaterini, L., Sofia, L., Anastasios, K., Gabriel, L., Aikaterini, M. and Olga, K. (2018) The Benefits of Patients’ Information regarding Dietary Habits before Percutaneous Coronary Intervention: A 3- and 6-Month Follow-Up. 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