<?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">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2023.112019</article-id><article-id pub-id-type="publisher-id">JBM-123292</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of C-Reactive Protein/Serum Albumin Ratio in Relation to Acute Presentation and Early Outcome of Patients with Acute Coronary Syndrome
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Waseem</surname><given-names>F. Al Tameemi</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>Noor</surname><given-names>Alaa Alkhazraji</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Medicine (Hematology), College of Medicine, Al-Nahrain University, Baghdad, Iraq</addr-line></aff><aff id="aff2"><addr-line>Al-Immamain Al-Kadhumein Medical City, Baghdad, Iraq</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>02</month><year>2023</year></pub-date><volume>11</volume><issue>02</issue><fpage>239</fpage><lpage>253</lpage><history><date date-type="received"><day>15,</day>	<month>January</month>	<year>2023</year></date><date date-type="rev-recd"><day>24,</day>	<month>February</month>	<year>2023</year>	</date><date date-type="accepted"><day>27,</day>	<month>February</month>	<year>2023</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>
 
 
  Background: Acute coronary syndrome (ACS) is the leading cardiovascular (CV) cause of mortality. C reactive protein (CRP) has linked with long-term risk of recurrent cardiovascular events or death. Albumin, in contrast to CRP known as a negative acute-phase protein. Thus a newly introduced marker assessed relation of CRP to albumin ratio (CAR), which may provide better results than the use of either marker alone. The aim of the study is to assess the association of C-reactive protein to albumin ratio (CAR) with in-hospital short-term major adverse cardiac events (MACEs) in acute coronary syndrome (ACS) patients. 
  Patients &amp; Methods: A multi-centers prospective cohort study was conducted at coronary intensive care units (CICU) in Baghdad during the period from March to October 2021 that included a total of 132 patients who were diagnosed as a case of ACS. They were assessed for major adverse cardiac events (MACEs) like cardiogenic shock, arrhythmias, post-MI angina, and acute heart failure while inside the ward, in addition to need for early interventional therapeutic approach in relation to (CAR) immediately at time of admission to hospital. 
  Results: High values of CAR, whether using hs-CRP or CRP, were identified as an independent predictor for in-hospital MACEs (P value &lt; 0.001 and 0.002 respectively. A cut-off value of CAR (using hs-CRP) is 3.18 mg/L in context of discrimination between medically treated ACS patients and death outcome in term of high CAR. A cut-off value of CAR (using CRP) as 9.13 mg/L suggests the usefulness in discrimination of outcome in relation to medically managed patients, at presentation. CAR had a positive significant correlation with hospital stay (r = 0.210, P = 0.036). 
  Conclusion: The CAR was independently correlated with in-hospital short-term MACEs and can be used for risk stratification in patients with ACS.
 
</p></abstract><kwd-group><kwd>Acute Coronary Syndrome</kwd><kwd> Cardiac Events</kwd><kwd> C Reactive Protein</kwd><kwd> Albumin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Acute coronary syndrome (ACS), the leading cause of mortality worldwide, refers to a spectrum of conditions compatible with acute myocardial ischemia and/or infarction [<xref ref-type="bibr" rid="scirp.123292-ref1">1</xref>] .</p><p>It is known that inflammation plays a major role in pathogenesis of onset and progression of atherosclerosis. The culprit lesion that precipitates the acute event is usually a complex ulcerated or fissured atheromatous plaque with adherent platelet-rich thrombus and local coronary artery spasm. In acute MI, occlusive thrombus is almost always present at the site of rupture or erosion of an atheromatous plaque [<xref ref-type="bibr" rid="scirp.123292-ref2">2</xref>] .</p><p>The prognosis of patients who have survived an acute coronary syndrome is related to the extent of residual myocardial ischemia, the degree of myocardial damage and the presence of ventricular arrhythmias. Half the deaths occur within 24 hours of onset of symptoms and about 40% of all affected patients die within the first month [<xref ref-type="bibr" rid="scirp.123292-ref3">3</xref>] .</p><p>Patients with unstable angina have a mortality of approximately half that of patients with MI. Patients with non-ST-elevation myocardial infarction (NSTEMI) who has ST segment depression of 1 mm or greater in two or more leads are almost four times as likely to die within 1 year, and the patient with ST segment depression of 2 mm or greater in magnitude is almost six times as likely to die within 1 year. If ST segment depression of 2 mm or greater is present in more than one region of the ECG, the mortality is increased 10-fold. Although in-hospital mortality is higher in patients with ST segment elevation MI than among those with NSTE ACS (7 vs. 5%, respectively), the mortality rates at 6 months are similar for the two conditions (12 vs. 13%, respectively) and during long-term follow-up of patients hospitalized with ACS, rates of death are actually higher in those with NSTE ACS than in those with ST-elevation myocardial infarction (STEMI) [<xref ref-type="bibr" rid="scirp.123292-ref4">4</xref>] . Of those who survive an acute attack, more than 80% live for a further year, about 75% for 5 years, 50% for 10 years and 25% for 20 years [<xref ref-type="bibr" rid="scirp.123292-ref3">3</xref>] .</p><p>Cardiac biomarkers play critical roles in the diagnosis and prognosis of AMI. like Myocardial necrosis biomarkers Cardiac troponin T (cTnT) and I (cTnI), Myoglobin, Heart-type fatty acid binding protein (hFABP) in addition to ischemia-modified albumin [<xref ref-type="bibr" rid="scirp.123292-ref5">5</xref>] .</p><p>In acute ischemia, the N terminus of albumin is altered, thereby reducing its binding capacity, and the resultant protein is referred to as ischemia-modified albumin (IMA). In patients with suspected ACS, the diagnostic accuracy at presentation increased when IMA was used in conjunction with cTnT and ECG findings. IMA in combination with initial cTnT is more sensitive than the latter alone for predicting adverse cardiac events.</p><p>Other inflammatory markers had used also for this purpose like CRP is a significant predictor of poor outcome. Studies confirmed that a higher CRP level is associated with increased long-term risk of recurrent cardiovascular events or death [<xref ref-type="bibr" rid="scirp.123292-ref6">6</xref>] . C-reactive protein (CRP) is one of the acute-phase proteins (APPs), which are those whose serum level increases or decreases by at least 25% during inflammatory conditions [<xref ref-type="bibr" rid="scirp.123292-ref6">6</xref>] .</p><p>Both C-reactive protein (CRP) and albumin, known as positive and negative acute phase reactants (APRs), respectively, are synthesized by hepatocytes, and their serum levels can be measured [<xref ref-type="bibr" rid="scirp.123292-ref7">7</xref>] . The newly introduced parameter, CRP to albumin ratio (CAR), which is indicative of the balance of CRP and albumin, may provide better results in evaluating the inflammatory status than the use of either marker alone. The C-reactive protein (CRP)/albumin (Alb) ratio (CAR) has been identified as a novel inflammation-based prognostic marker in several cancers, including esophageal cancer, lung cancer, hypopharyngeal and laryngeal cancer, and nasopharyngeal cancer [<xref ref-type="bibr" rid="scirp.123292-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref11">11</xref>] . Some studies have also shown that CAR is associated with cardiovascular diseases. Y&#252;cel et al. stated that an elevated CRP/albumin ratio was independently associated with advanced Heart failure and poor hemodynamic parameters [<xref ref-type="bibr" rid="scirp.123292-ref12">12</xref>] .</p><p>The aim of study is to assess the association of C-reactive protein to albumin ratio (CAR) with in-hospital short-term major adverse cardiac events (MACEs) in acute coronary syndrome (ACS) patients.</p></sec><sec id="s2"><title>2. Patients and Method</title><p>Study design: Multi-centers and prospective cohort study conducted at coronary intensive care units (CICU) in Baghdad during the period from March to October 2021. It is performed in line with the principles of the Declaration of Helsinki and approved by ethical committee of Iraq board for medical specialization (National academic committee).</p><p>Study population: It included (132) patients with ACS diagnosis according to AHA/ACCF guidelines (according to symptoms, ECG findings and serum troponin levels), who had admitted to the CICU.</p><p>Patients with severe hepatic diseases, estimated glomerular filtration rate &lt; 15 ml/kg/m<sup>2</sup>, chronic heart failure (NYHA class &gt; II), malignancy, valvular heart disease, concomitant acute stroke or inflammation, venous thromboembolism were excluded. Patients, who were lost to follow-up were also excluded</p><p>Data Collection: Venous blood samples were instantly collected on admission to the hospital. In addition to serum troponin assay, other—biochemical profiles—including CRP and albumin levels were evaluated for some patients while, Hs-CRP and albumin levels were measured for others according to availability and each center workup.</p><p>CAR is calculated manually according to the following formula: C-reactive protein to Albumin Ratio = CRP/ALBUMIN.</p><p>Normal standard range for, hs-CRP &lt; 5 mg/L, CRP &lt; 10 mg/dL, S. Albumin 3.2 - 4.8 g/dL according to reference of manufacturer pamphlet</p><p>In-hospital cardiac events and treatment outcomes: A short follow-up observation was designed in this study setting looking for in-hospital adverse cardiac events and treatment modalities (medical conservative or interventional approach) as well as early outcome. The major adverse cardiac events (MACEs) were defined as cardiogenic shock, arrhythmias, post-MI angina, acute heart failure and all-cause death [<xref ref-type="bibr" rid="scirp.123292-ref13">13</xref>] . A treatment outcome was recorded as in-hospital patient’s death, discharge with improvement or referred for further intervention.</p><p>Data Statistical analysis: Statistical analyses were performed by using SPSS software version 25.0 (SPSS, Chicago). Continuous data were subjected to normality test (Shapiro Wilk test), Data with normally distribution were presented as mean and standard deviation, and analyzed with Student t-test. Data with non-normal distribution were presented as median and range and analyzed with Mann Whitney U test (for two groups comparison) or Kruskal Wallis (for three groups comparison). Categorical variables were expressed as number and percentage and analyzed with Chi-square test. Receiver operating characteristic (ROC) curve was used to evaluate CAR in the context of discrimination between medically-treated and died patients or between medically-treated and PCI-treated patients. Spearman’s correlation test was used to explore the possible correlation of hs CRP and CRP with each of age, disease duration and hospital stay. A P-value less than 0.05 was considered to indicate a statistically significant difference.</p><p>Ethical consideration: All patients were informed about the study and consent was taken to be included in this study. The confidentiality of data throughout the study was guaranteed and the patients were assured that data will be used for research purpose only.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Description of Patients Group Characteristics</title><p>A total of 132 patients were distributed according to which biochemical assessment had used, those 100 patients who performed hs-CRP assay were labeled as group I while the rest 32 patient had performed CRP labeled as group II.</p><p>The age group of patients sample ranges from (30 - 85) years old with a mean of (58.85 &#177; 11.97).</p><p>The duration of hospital stay range is (1 - 9) days with a mean (5.14 &#177; 1.61).</p><p>Eighty-one (81) patients (61.36%) got no cardiac events while their admission, distributed as 58 patients within group I and 23 patients in group II. The rest patients had a major cardiac events as complication in form of, acute heart failure represent (26) 19.7%, arrhythmia (16) 12.12%, post-MI angina (10) 7.58% and cardiogenic shock (10) 7.58%.</p><p>Regarding treatment outcomes, 85 patients were treated medically and formed (64.39%) with (62%) in group I in comparison to 71.88 in group II, PCI was indicated for 36 (27.27%) patients with (30%) in group I in comparison to group II; However, death was reported in 11 (8.33%) with (8%) in group I in comparison to (9.38%) in group II (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Comparison of Biochemical Profiles in Both Patients Groups</title><p>Group I patients showed a range of hs-CRP (0.5 - 40.0) with a mean 9.23 &#177; 8.09 mg/L, while group II patients showed a range of CRP (0.5 - 100) with a mean 13.33 &#177; 24.95 mg/L, with no statistical significance (P value 0.108 ).</p><p>Calculation of CAR ratio reveals that mean for group I (2.32 &#177; 2.1) and group II (3.36 &#177; 6.28) with no statistical significance (P value 0.130), (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Relationship between CAR using hs-CRP in group I patients reveals that neither any of demographic, nor any of clinical characteristics had shown any statistical significance with CAR unlike its implication with ACS complications as there was very high statistical significance with Cardiac event (P value &lt; 0.001), acute heart failure (P value 0.001), as well as statistical significance with other complications like arrhythmia and cardiogenic shock (P value 0.031 for both) (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Similarly this CAR has a clear statistical significant relationship with clinical outcome especially when mode of management continued with conservative treatment despite high CAR compared with those offered PCI during acute presentation (P value 0.002), (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Accordingly a cut-off value of CAR (using hs-CRP) is considered statistically to be 3.18 mg/L with sensitivity of 75% and specificity of 82% (95% confidence interval 0.759 - 0.949), in context of discrimination between medically treated ACS patients and death outcome in term of high CAR.</p><p>Similarly, in same clinical application making benefit of this CAR in defining what is appropriate management line, statistical analysis reveals a critical predictive cutoff value of 1.4 mg/L to make a decision of continuing conservative medical management or referral to PCI with sensitivity 67% and specificity 53%, (95% CI = 0.50 - 0.75).</p><p>In group II statistical analysis in assessing CAR (using CRP) in relationship with other characteristics reveals that, none of demographic or clinical features had shown any statistical significance unlike its relationship with cardiac event (P value &lt; 0.002), acute heart failure (P value 0.001), as well as statistical significance with complications like cardiogenic shock (P value 0.002). Patient’s outcome had also a clear relationship in term of management mode in view of CAR levels (P value 0.012), (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>The clinical application of CAR (using CRP) in group II patients suggests the usefulness in discrimination of outcome in relation to medically managed patients when considering cut off value of CAR = 9.13 mg/L at presentation with 100% sensitivity and specificity (95% CI = 1.0 - 1.0).</p><p>Similarly, a predictive cut-off value of CAR (using CRP) had concluded to help in making management mode decision between conservative medical</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic and clinical characteristics of the patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Total (n = 132)</th><th align="center" valign="middle" >Group I hs CRP (n = 100)</th><th align="center" valign="middle" >Group II CRP (n = 32)</th></tr></thead><tr><td align="center" valign="middle" >Age, years</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >58.85 &#177; 11.97</td><td align="center" valign="middle" >57.85 &#177; 11.65</td><td align="center" valign="middle" >61.97 &#177; 12.58</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >30 - 85</td><td align="center" valign="middle" >30 - 85</td><td align="center" valign="middle" >40 - 82</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >87 (65.91%)</td><td align="center" valign="middle" >67 (67%)</td><td align="center" valign="middle" >20 (62.5%)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >45 (34.09%)</td><td align="center" valign="middle" >33 (33%)</td><td align="center" valign="middle" >12 (37.5%)</td></tr><tr><td align="center" valign="middle" >Male: female ratio</td><td align="center" valign="middle" >1.93:1</td><td align="center" valign="middle" >2.03:1</td><td align="center" valign="middle" >1.67:1</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Never</td><td align="center" valign="middle" >35 (26.52%)</td><td align="center" valign="middle" >28 (28%)</td><td align="center" valign="middle" >7 (21.88%)</td></tr><tr><td align="center" valign="middle" >Current</td><td align="center" valign="middle" >71 (53.79%)</td><td align="center" valign="middle" >53 (53%)</td><td align="center" valign="middle" >18 (56.25%)</td></tr><tr><td align="center" valign="middle" >Ex-smoker</td><td align="center" valign="middle" >26 (19.7%)</td><td align="center" valign="middle" >19 (19%)</td><td align="center" valign="middle" >7 (21.88%)</td></tr><tr><td align="center" valign="middle" >Comorbidities</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >14 (10.61%)</td><td align="center" valign="middle" >10 (10%)</td><td align="center" valign="middle" >4 (12.5%)</td></tr><tr><td align="center" valign="middle" >DM</td><td align="center" valign="middle" >93 (70.45%)</td><td align="center" valign="middle" >68 (68%)</td><td align="center" valign="middle" >25 (78.13%)</td></tr><tr><td align="center" valign="middle" >HTN</td><td align="center" valign="middle" >68 (51.52%)</td><td align="center" valign="middle" >53 (53%)</td><td align="center" valign="middle" >15 (46.88%)</td></tr><tr><td align="center" valign="middle" >CAD</td><td align="center" valign="middle" >26 (19.7%)</td><td align="center" valign="middle" >22 (22%)</td><td align="center" valign="middle" >4 (12.5%)</td></tr><tr><td align="center" valign="middle" >Disease duration, m</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >16.6 &#177; 23.33</td><td align="center" valign="middle" >17.14 &#177; 23.92</td><td align="center" valign="middle" >14.87 &#177; 21.66</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >1.0 - 96</td><td align="center" valign="middle" >1.0 - 96</td><td align="center" valign="middle" >1.0 - 72</td></tr><tr><td align="center" valign="middle" >Hospital stay, days</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >5.14 &#177; 1.61</td><td align="center" valign="middle" >5.27 &#177; 1.62</td><td align="center" valign="middle" >4.75 &#177; 1.55</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >1.0 - 9.0</td><td align="center" valign="middle" >1.0 - 9.0</td><td align="center" valign="middle" >2.0 - 9.0</td></tr><tr><td align="center" valign="middle" >Cardiac events</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >81 (61.36%)</td><td align="center" valign="middle" >58 (58%)</td><td align="center" valign="middle" >23 (71.88%)</td></tr><tr><td align="center" valign="middle" >Acute heart failure</td><td align="center" valign="middle" >26 (19.7%)</td><td align="center" valign="middle" >21 (21%)</td><td align="center" valign="middle" >5 (15.63%)</td></tr><tr><td align="center" valign="middle" >Arrhythmia</td><td align="center" valign="middle" >16 (12.12%)</td><td align="center" valign="middle" >12 (12%)</td><td align="center" valign="middle" >4 (12.5%)</td></tr><tr><td align="center" valign="middle" >Post-MI angina</td><td align="center" valign="middle" >10 (7.58%)</td><td align="center" valign="middle" >9 (9%)</td><td align="center" valign="middle" >1 (3.13%)</td></tr><tr><td align="center" valign="middle" >Cardiogenic shock</td><td align="center" valign="middle" >10 (7.58%)</td><td align="center" valign="middle" >7 (7%)</td><td align="center" valign="middle" >3 (9.38%)</td></tr><tr><td align="center" valign="middle" >Outcomes</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Medical treatment</td><td align="center" valign="middle" >85 (64.39%)</td><td align="center" valign="middle" >62 (62%)</td><td align="center" valign="middle" >23 (71.88%)</td></tr><tr><td align="center" valign="middle" >PCI</td><td align="center" valign="middle" >36 (27.27%)</td><td align="center" valign="middle" >30 (30%)</td><td align="center" valign="middle" >6 (18.75%)</td></tr><tr><td align="center" valign="middle" >Death</td><td align="center" valign="middle" >11 (8.33)</td><td align="center" valign="middle" >8 (8%)</td><td align="center" valign="middle" >3 (9.38%)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of biochemical profiles (CRP, albumin and CAR) in both patients groups</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Group I hs CRP (n = 100)</th><th align="center" valign="middle" >Group II CRP (n = 32)</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >CRP/hs CRP, mg/L</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >9.23 &#177; 8.09</td><td align="center" valign="middle" >13.33 &#177; 24.95</td><td align="center" valign="middle" >0.108<sup>‡</sup></td></tr><tr><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >6.85</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >0.5 - 40.0</td><td align="center" valign="middle" >0.5 - 100</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Albumin, g/dl</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >4.03 &#177; 0.34</td><td align="center" valign="middle" >3.98 &#177; 0.38</td><td align="center" valign="middle" >0.454<sup>†</sup></td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >3.2 - 5.0</td><td align="center" valign="middle" >3.3 - 5.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CAR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >2.32 &#177; 2.1</td><td align="center" valign="middle" >3.36 &#177; 6.28</td><td align="center" valign="middle" >0.130<sup>‡</sup></td></tr><tr><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >1.54</td><td align="center" valign="middle" >1.05</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >0.12 - 10.81</td><td align="center" valign="middle" >0.13 - 28.57</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p><sup>†</sup>Student t-test, <sup>‡</sup>Non-parametric Mann Whitney U test. CRP: C-reactive protein, CAR: C-reactive protein/albumin ratio.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Association of CAR with demographic and clinical characteristics of the patients in hs CRP group (Group I)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >CAR</th><th align="center" valign="middle" >P-value‡</th></tr></thead><tr><td align="center" valign="middle" >Gender Male Female</td><td align="center" valign="middle" >1.46 (0.12 - 10.81) 2.25 (0.12 - 6.75)</td><td align="center" valign="middle" >0.422</td></tr><tr><td align="center" valign="middle" >Smoking Never Current Ex-smoker</td><td align="center" valign="middle" >2.28 (0.12 - 8.75) 1.43 (0.26 - 10.81) 1.6 (0.14 - 5.26)</td><td align="center" valign="middle" >0.768</td></tr><tr><td align="center" valign="middle" >Comorbidities Present Absent</td><td align="center" valign="middle" >1.57 (0.12 - 10.81) 1.37 (0.13 - 8.75)</td><td align="center" valign="middle" >0.991</td></tr><tr><td align="center" valign="middle" >DM Present Absent</td><td align="center" valign="middle" >1.68 (0.12 - 8.75) 1.12 (0.13 - 10.81)</td><td align="center" valign="middle" >0.471</td></tr><tr><td align="center" valign="middle" >HTN Present Absent</td><td align="center" valign="middle" >1.67 (0.14 - 10.81) 1.46 (0.12 - 8.75)</td><td align="center" valign="middle" >0.581</td></tr><tr><td align="center" valign="middle" >CAD Present Absent</td><td align="center" valign="middle" >1.84 (0.32 - 10.81) 1.43 (0.12 - 8.75)</td><td align="center" valign="middle" >0.139</td></tr><tr><td align="center" valign="middle" >Cardiac events Present Absent</td><td align="center" valign="middle" >0.97 (0.12 - 8.75) 0.97 (0.12 - 8.75)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Acute heart failure Present Absent</td><td align="center" valign="middle" >2.93 (1.09 - 10.81) 1.43 (0.12 - 8.75)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Arrhythmia Present Absent</td><td align="center" valign="middle" >3.59 (0.24 - 8.75) 1.43 (0.12 - 10.81)</td><td align="center" valign="middle" >0.031</td></tr><tr><td align="center" valign="middle" >Post-MI angina Present Absent</td><td align="center" valign="middle" >1.67 (1.04 - 6.75) 1.53 (0.12 - 10.81)</td><td align="center" valign="middle" >0.474</td></tr><tr><td align="center" valign="middle" >Cardiogenic shock Present Absent</td><td align="center" valign="middle" >3.53 (2.22 - 8.75) 1.43 (0.12 - 10.81)</td><td align="center" valign="middle" >0.031</td></tr><tr><td align="center" valign="middle" >Outcomes Medical treatment PCI Death</td><td align="center" valign="middle" >1.27 (0.12 - 8.75)<sup>a</sup> 2.14 (0.26 - 10.81)<sup>b</sup> 3.64 (2.22 - 8.75)<sup>b</sup></td><td align="center" valign="middle" >0.002</td></tr></tbody></table></table-wrap><p><sup>‡</sup>Data were expressed as median and range and compared using Mann Whitney U test. Different small letters indicate significant differences. DM: diabetes mellitus, HTN: hypertension, CAD: coronary artery disease.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Association of CAR with demographic and clinical characteristics of the patients in CRP group (Group II)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >CAR</th><th align="center" valign="middle" >P-value<sup>‡</sup></th></tr></thead><tr><td align="center" valign="middle" >Gender Male Female</td><td align="center" valign="middle" >0.88 (0.24 - 18.0) 1.27 (0.13 - 28.57)</td><td align="center" valign="middle" >0.346</td></tr><tr><td align="center" valign="middle" >Smoking Never Current Ex-smoker</td><td align="center" valign="middle" >0.95 (0.26 - 28.57) 0.74 (0.24 - 15.48) 1.65 (0.13 - 18.0)</td><td align="center" valign="middle" >0.512</td></tr><tr><td align="center" valign="middle" >Comorbidities Present Absent</td><td align="center" valign="middle" >1.0 (0.13 - 28.57) 2.25 (0.73 - 4.84)</td><td align="center" valign="middle" >0.230</td></tr><tr><td align="center" valign="middle" >DM Present Absent</td><td align="center" valign="middle" >0.95 (0.13 - 28.57) 1.08 (0.25 - 4.84)</td><td align="center" valign="middle" >0.721</td></tr><tr><td align="center" valign="middle" >HTN Present Absent</td><td align="center" valign="middle" >0.79 (0.24 - 28.57) 1.19 (0.13 - 18.0)</td><td align="center" valign="middle" >0.313</td></tr><tr><td align="center" valign="middle" >CAD Present Absent</td><td align="center" valign="middle" >1.54 (0.25 - 2.0) 1.0 (0.13 - 28.57)</td><td align="center" valign="middle" >0.805</td></tr><tr><td align="center" valign="middle" >Cardiac events Present Absent</td><td align="center" valign="middle" >4.14 (0.24 - 28.57) 0.74 (0.13 - 4.84)</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >Acute heart failure Present Absent</td><td align="center" valign="middle" >15.47 (1.17 - 28.57) 0.79 (0.13 - 4.84)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Arrhythmia Present Absent</td><td align="center" valign="middle" >3.57 (0.24 - 18.0) 1.0 (0.13 - 28.57)</td><td align="center" valign="middle" >0.279</td></tr><tr><td align="center" valign="middle" >Post-MI angina Present Absent</td><td align="center" valign="middle" >1.81 (1.82 - 1.82) 1.03 (0.13 - 28.57)</td><td align="center" valign="middle" >0.563</td></tr><tr><td align="center" valign="middle" >Cardiogenic shock Present Absent</td><td align="center" valign="middle" >15.47 (11.43 - 28.57) 0.95 (0.13 - 18.0)</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >Outcomes Medical treatment PCI Death</td><td align="center" valign="middle" >0.79 (0.13 - 4.84)<sup>a</sup> 2.25 (0.26 - 18.0)<sup>b</sup> 15.48 (11.43 - 28.57)<sup>b</sup></td><td align="center" valign="middle" >0.012</td></tr></tbody></table></table-wrap><p><sup>‡</sup>Data were expressed as median and range and compared using Mann Whitney U test. Different small letters indicate significant differences.</p><p>treatment from those indicated for immediate intervention PCI considering value of 0.78 mg/L with sensitivity and specificity of the test were 67% and 78%, respectively (95% CI = 0.37 - 0.97).</p></sec><sec id="s3_3"><title>3.3. Correlation between CAR and Other Clinical Variables</title><p>Spearman’s correlation was used to explore the possible correlation of CAR in both groups with other clinical variables. In group II, CAR demonstrated a positive significant correlation with age (r = 0.459, P = 0.008). On the other hand, CAR had a positive significant correlation with hospital stay (r = 0.210, P = 0.036) in group I (<xref ref-type="fig" rid="fig1">Figure 1</xref>, <xref ref-type="fig" rid="fig2">Figure 2</xref>). While no correlation found between disease duration with neither hs-CRP nor CRP (r = −0.074, P = 0.644) (r = −0.119, P = 0.515) respectively.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>High values of CAR, whether using hs-CRP or CRP, were identified as an</p><p>independent predictor for in-hospital MACEs, in agreement of Cagdas et al. who demonstrated this association also [<xref ref-type="bibr" rid="scirp.123292-ref7">7</xref>] and similarly Wei Wang et al. stated the same significance for in-hospital MACEs in patients with ACS [<xref ref-type="bibr" rid="scirp.123292-ref14">14</xref>] .</p><p>It has been suggested that, as a novel inflammatory parameter, CAR is more sensitive and specific in the prediction of the systemic inflammatory state and prognosis in various cardiac and non-cardiac clinical conditions when compared with CRP and serum albumin separately [<xref ref-type="bibr" rid="scirp.123292-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref17">17</xref>] .</p><p>CAR first was described by Fairclough et al. and proposed as a better prognostic parameter to predict poor prognosis than either serum CRP or albumin levels alone in patients with acute medical conditions [<xref ref-type="bibr" rid="scirp.123292-ref15">15</xref>] . There is increasing evidence that CAR is associated with poor prognosis in patients with tumors or sepsis [<xref ref-type="bibr" rid="scirp.123292-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref22">22</xref>] . Previous reports, Karabağ et al., have revealed that CAR can predict no-reflow in patients with ST-elevation myocardial infarction [<xref ref-type="bibr" rid="scirp.123292-ref23">23</xref>] and Zhang et al. concluded that the higher the CAR, the higher the risk of death in patients with ACS [<xref ref-type="bibr" rid="scirp.123292-ref24">24</xref>] .</p><p>Acet et al. found that CAR was independently associated with the risk of MACE in STEMI patients undergoing primary percutaneous coronary intervention (pPCI) and adding CAR to the GRACE risk score system could increase the predictive value of GRACE score in the estimation of prognosis in STEMI patients undergoing PCI [<xref ref-type="bibr" rid="scirp.123292-ref25">25</xref>] , and Kalyoncuoglu et al. concluded its usefulness in prediction of CAD severity in patients with NSTEMI and it may be a part of cardiovascular examination to identify individuals with NSTEMI at high risk for advanced CAD who might need a more aggressive therapeutic approach and closer clinical follow-up [<xref ref-type="bibr" rid="scirp.123292-ref26">26</xref>] .</p><p>Furthermore, Wada et al. showed that the combination of serum albumin and hs-CRP as a marker is a stronger predictor than either marker alone in patients treated with percutaneous coronary intervention [<xref ref-type="bibr" rid="scirp.123292-ref27">27</xref>] .</p><p>In this study, a remarkably worse short-term prognosis was observed in patients with serum hs-CRP levels &gt; 4 mg/L, CRP &gt; 5.25 mg/L. which are compatible with previous findings [<xref ref-type="bibr" rid="scirp.123292-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref29">29</xref>] . It is most likely that CRP has a role in all phases of atherosclerosis by directly influencing processes such as endothelial damage, complement activation, apoptosis, vascular cell activation, and thrombosis [<xref ref-type="bibr" rid="scirp.123292-ref30">30</xref>] .</p><p>There is also substantial evidence that decreased albumin plasma concentrations may be causally related to atherosclerosis development and progression [<xref ref-type="bibr" rid="scirp.123292-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.123292-ref32">32</xref>] .</p><p>In the present study, heart failure development, arrhythmia and cardiogenic shock were the most important causes of MACE. This may be due to increased myocardial damage and decreased myocardial reserve, in agreement with Acet et al. [<xref ref-type="bibr" rid="scirp.123292-ref25">25</xref>] .</p><p>An interesting finding regarding medical outcomes in this study considered a cut-off value of CAR (using hs-CRP and CRP) to be, 3.18 mg/L, 9.13 mg/L respectively, statistically significant in context of discrimination between medically treated ACS patients and death outcome in term of high CAR -which couldn’t be assessed by other authors up to our knowledge.</p><p>Similarly, a predictive cut-off value of CAR (using hs-CRP and CRP) had concluded to help in making management mode decision between conservative medical treatment from those indicated for immediate intervention PCI considering cut value of 1.4 mg/L and 0.78 mg/L respectively.</p><p>Another interesting finding in which there is a significant linear relationship between CAR (using hs-CRP) and duration of hospital stay-which may contributed to the development of complications and the need for further hospitalization. Moreover, there is significant linear relationship between CAR (using CRP) and age of the patients (P = 0.008, r = 459).</p><p>Therefore; it can be stated that CAR is a more valuable marker than each of CRP and albumin alone in the prediction of in hospital MACEs which is compatible with Cagdas et al. [<xref ref-type="bibr" rid="scirp.123292-ref7">7</xref>] Wei Wang et al. [<xref ref-type="bibr" rid="scirp.123292-ref14">14</xref>] reports, with good implication concerning the decision of early referral for interventional management rather than keeping with conservative medical management.</p><p>There were some limitations that ought to be considered like interfering factors with baseline measurement for both serum albumin and CRP patients’ BMI and nutritional status in addition to the need of monitoring levels of both parameters in concern with patient recovery.</p></sec><sec id="s5"><title>5. Conclusions</title><p>High CAR levels are associated with poor outcomes, as independent predictor for in-hospital MACEs, concerning ACS patient at presentation, as well as, it can be used as guide that helps in ascertaining the need for immediate interventional PCI rather than continuing conventional conservative medical treatment.</p><p>Accordingly, it can recommend estimation of CAR to identify patients with ACS at high risk for MACEs and to guide the decision for early medical intervention (PCI) that may be useful in CICU daily practice.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Al Tameemi, W.F. and Alkhazraji, N.A. (2023) Assessment of C-Reactive Protein/Serum Albumin Ratio in Relation to Acute Presentation and Early Outcome of Patients with Acute Coronary Syndrome. Journal of Biosciences and Medicines, 11, 239-253. https://doi.org/10.4236/jbm.2023.112019</p></sec></body><back><ref-list><title>References</title><ref id="scirp.123292-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Dai, X., Busby-Whitehead, J. and Alexander, K.P. (2016) Acute Coronary Syndrome in the Older Adults. Journal of Geriatric Cardiology, 13, 101-108.</mixed-citation></ref><ref id="scirp.123292-ref2"><label>2</label><mixed-citation publication-type="book" xlink:type="simple">Newby, D.E. and Grubb, N.R. (2018) Cardiology. In: Ralston, S., Penman, I., Strachan, M. and Hobson, R., Eds., Davidson’s Principles and Practice of Medicine, 23rd Edition, Elsevier Health, London, 494.</mixed-citation></ref><ref id="scirp.123292-ref3"><label>3</label><mixed-citation publication-type="book" xlink:type="simple">Newby, D.E. and Grubb, N.R. (2018) Cardiology. In: Ralston, S., Penman, I., Strachan, M. and Hobson, R., Eds., Davidson’s Principles and Practice of Medicine, 23rd Edition, Elsevier Health, London, 501.</mixed-citation></ref><ref id="scirp.123292-ref4"><label>4</label><mixed-citation publication-type="book" xlink:type="simple">Lange, R.A. and Hillis, D. (2019) Acute Coronary Syndrome: Unstable Angina and Non-ST Elevation Myocardial Infarction In: Goldman, L. and Schafer, A., Eds., Goldman-Cecil Medicine, 26th Edition, Elsevier Health, London, 440.</mixed-citation></ref><ref id="scirp.123292-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Chen, Y., Tao, Y., Zhang, L., et al. (2019) Diagnostic and Prognostic Value of Biomarkers in Acute Myocardial Infarction. Postgraduate Medical Journal, 95, 210-216. https://doi.org/10.1136/postgradmedj-2019-136409</mixed-citation></ref><ref id="scirp.123292-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Aguiar, F.J., Ferreira-Júnior, M., Sales, M.M., et al. (1992) C-Reactive Protein: Clinical Applications and Proposals for a Rational Use. Revista da Associacao Medica Brasileira, 59, 85-92. https://doi.org/10.1590/S0104-42302013000100016</mixed-citation></ref><ref id="scirp.123292-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Cagdas, M., Rencüzogullari, I., Karakoyun, S., et al. (2019) Assessment of Relationship between C-Reactive Protein to Albumin Ratio and Coronary Artery Disease Severity in Patients with Acute Coronary Syndrome. Angiology, 70, 361-368. https://doi.org/10.1177/0003319717743325</mixed-citation></ref><ref id="scirp.123292-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Liu, Z., Shi, H. and Chen, L. (2019) Prognostic Role of Pre-Treatment C-Reactive Protein/Albumin Ratio in Esophageal Cancer: A Meta-Analysis. BMC Cancer, 19, Article No. 1161. https://doi.org/10.1186/s12885-019-6373-y</mixed-citation></ref><ref id="scirp.123292-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Deng, T.B., Zhang, J., Zhou, Y.Z. and Li, W.M. (2018) The Prognostic Value of C-Reactive Protein to Albumin Ratio in Patients with Lung Cancer. Medicine (Baltimore), 97, e13505. https://doi.org/10.1097/MD.0000000000013505</mixed-citation></ref><ref id="scirp.123292-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Kuboki, A., Kanaya, H., Nakayama, T., et al. (2019) Prognostic Value of C-Reactive Protein/Albumin Ratio for Patients with Hypopharyngeal and Laryngeal Cancer Undergoing Invasive Surgery Involving Laryngectomy. Head Neck, 41, 1342-1350. https://doi.org/10.1002/hed.25565</mixed-citation></ref><ref id="scirp.123292-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Yang, X., Liu, H., He, M., et al. (2018) Prognostic Value of Pretreatment C-Reactive Protein/Albumin Ratio in Nasopharyngeal Carcinoma: A Meta-Analysis of Published Literature. Medicine (Baltimore), 97, e11574. https://doi.org/10.1097/MD.0000000000011574</mixed-citation></ref><ref id="scirp.123292-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Yucel, O., Günes, H., Kerkütlüoglu, M. and Yilmaz, M.B. (2020) C-Reactive Protein/Albumin Ratio Designates Advanced Heart Failure among Outpatients with Heart Failure. International Journal of the Cardiovascular Academy, 6, 51-56. https://doi.org/10.4103/IJCA.IJCA_49_19</mixed-citation></ref><ref id="scirp.123292-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Hartopo, A.B., Gharini, P.P. and Setianto, B.Y. (2010) Low Serum Albumin Levels and In-Hospital Adverse Outcomes in Acute Coronary Syndrome. International Heart Journal, 51, 221-226. https://doi.org/10.1536/ihj.51.221</mixed-citation></ref><ref id="scirp.123292-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Wang, W., Ren, D., Wang, C.S., et al. (2019) Prognostic Efficacy of High-Sensitivity C-Reactive Protein to Albumin Ratio in Patients with Acute Coronary Syndrome. Biomarkers in Medicine, 13, 811-820. https://doi.org/10.2217/bmm-2018-0346</mixed-citation></ref><ref id="scirp.123292-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Fairclough, E., Cairns, E., Hamilton, J. and Kelly, C. (2009) Evaluation of a Modified Early Warning System for Acute Medical Admissions and Comparison with C-Reactive Protein/Albumin Ratio as a Predictor of Patient Outcome. Clinical Medicine, 9, 30-33. https://doi.org/10.7861/clinmedicine.9-1-30</mixed-citation></ref><ref id="scirp.123292-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Ranzani, O.T., Zampieri, F.G., Forte, D.N., et al. (2013) Creative Protein/Albumin Ratio Predicts 90-Day Mortality of Septic Patients. PLOS ONE, 8, e59321. https://doi.org/10.1371/journal.pone.0059321</mixed-citation></ref><ref id="scirp.123292-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Kinoshita, A., Onoda, H., Imai, N., et al. (2013) The C-Reactive Protein/Albumin Ratio, a Novel Inflammation-Based Prognostic Disease Stroke, and Peripheral Artery Disease in the Prospective EPIC Norfolk Cohort Study. Arteriosclerosis, Thrombosis, and Vascular Biology, 33, 2888-2894. https://doi.org/10.1161/ATVBAHA.113.301736</mixed-citation></ref><ref id="scirp.123292-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y.J., Yao, K., Lu, M.X., et al. (2017) Prognostic Value of the C-Reactive Protein to Albumin Ratio: A Novel Inflammation-Based Prognostic Indicator in Osteosarcoma. OncoTargets and Therapy, 10, 5255-5261. https://doi.org/10.2147/OTT.S140560</mixed-citation></ref><ref id="scirp.123292-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Yu, X., Wen, Y., Lin, Y., et al. (2018) The Value of Preoperative Glasgow Prognostic Score and the C-Reactive Protein to Albumin Ratio as Prognostic Factors for Long-Term Survival in Pathological T1N0 Esophageal Squamous Cell Carcinoma. Journal of Cancer, 9, 807-815. https://doi.org/10.7150/jca.22755</mixed-citation></ref><ref id="scirp.123292-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Ishizuka, M., Nagata, H., Takagi, K., et al. (2016) Clinical Significance of the C-Reactive Protein to Albumin Ratio for Survival after Surgery for Colorectal Cancer. Annals of Surgical Oncology, 23, 900-907. https://doi.org/10.1245/s10434-015-4948-7</mixed-citation></ref><ref id="scirp.123292-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Yoshida, N. and Baba, H. (2018) The C-Reactive Protein/Albumin Ratio May Predict the Long-Term Outcome in Patients with Malignant Pleural Mesothelioma. Annals of Surgical Oncology, 25, 1471-1472. https://doi.org/10.1245/s10434-018-6420-y</mixed-citation></ref><ref id="scirp.123292-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Chen, Z., Shao, Y., Fan, M., et al. (2015) Prognostic Significance of Preoperative C-Reactive Protein: Albumin Ratio in Patients with Clear Cell Renal Cell Carcinoma. International Journal of Clinical and Experimental Pathology, 8, 14893.</mixed-citation></ref><ref id="scirp.123292-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Karabag, Y., Cagdas, M., Rencuzogullari, I., et al. (2018) Usefulness of the C-Reactive Protein/Albumin Ratio for Predicting No-Reflow in ST-Elevation Myocardial Infarction Treated with Primary Percutaneous Coronary Intervention. European Journal of Clinical Investigation, 48, e12928. https://doi.org/10.1111/eci.12928</mixed-citation></ref><ref id="scirp.123292-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Kalyoncuoglu, M. and Durmus, G. (2020) Relationship between C-Reactive Protein-to-Albumin Ratio and the Extent of Coronary Artery Disease in Patients with Non-ST-Elevated Myocardial Infarction. Coronary Artery Disease, 31, 130-136. https://doi.org/10.1097/MCA.0000000000000768</mixed-citation></ref><ref id="scirp.123292-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Acet, H., Güzel, T., Aslan, B., et al. (2021) Predictive Value of C-Reactive Protein to Albumin Ratio in ST-Segment Elevation Myocardial Infarction Patients Treated with Primary Percutaneous Coronary Intervention. Angiology, 72, 244-251. https://doi.org/10.1177/0003319720963697</mixed-citation></ref><ref id="scirp.123292-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Pant, S., Deshmukh, A., Gurumurthy, G.S., et al. (2014) Inflammation and Atherosclerosis—Revisited. Journal of Cardiovascular Pharmacology and Therapeutics, 19, 170-178. https://doi.org/10.1177/1074248413504994</mixed-citation></ref><ref id="scirp.123292-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Wada, H., Dohi, T., Miyauchi, K., et al. (2017) Independent and Combined Effects of Serum Albumin and C-Reactive Protein on Long-Term Outcomes of Patients Undergoing Percutaneous Coronary Intervention. Circulation Journal, 81, 1293-1300. https://doi.org/10.1253/circj.CJ-17-0124</mixed-citation></ref><ref id="scirp.123292-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Aguilar, D., Fisher, M.R., O’Connor, C.M., et al. (2006) Metabolic Syndrome, C-Reactive Protein, and Prognosis in Patients with Established Coronary Artery Disease. American Heart Journal, 152, 298-304. https://doi.org/10.1016/j.ahj.2005.11.011</mixed-citation></ref><ref id="scirp.123292-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Ridker, P.M., Danielson, E., Fonseca, F.A., et al. (2008) Rosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein. The New England Journal of Medicine, 359, 2195-2207. https://doi.org/10.1056/NEJMoa0807646</mixed-citation></ref><ref id="scirp.123292-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, N., Liu, W.X. and Kang, Y.P. (2021) Predictive Value of Plasma High-Sensitivity C-Reactive Protein/Albumin Ratio for the Death in Patients with Acute Coronary Syndrome. Chinese Critical Care Medicine, 33, 573-577.</mixed-citation></ref><ref id="scirp.123292-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Schillinger, M., Exner, M., Mlekusch, W., et al. (2004) Serum Albumin Predicts Cardiac Adverse Events in Patients with Advanced Atherosclerosis—Interrelation with Traditional Cardiovascular Risk Factors. Thrombosis and Haemostasis, 91, 610-618. https://doi.org/10.1160/TH03-08-0504</mixed-citation></ref><ref id="scirp.123292-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Arques, S. (2018) Human Serum Albumin in Cardiovascular Diseases. European Journal of Internal Medicine, 52, 8-12. https://doi.org/10.1016/j.ejim.2018.04.014</mixed-citation></ref></ref-list></back></article>