<?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>
   <issn publication-format="print">
    2164-5337
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/wjcd.2024.147037
   </article-id>
   <article-id pub-id-type="publisher-id">
    wjcd-134767
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Prognostic Factors in Cardiorenal Syndrome Type 1: Retrospective Observational and Analytical Study
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Mariam El
      </surname>
      <given-names>
       Galiou
      </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>
       Amal
      </surname>
      <given-names>
       Zniber
      </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>
       Hajar
      </surname>
      <given-names>
       Fitah
      </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>
       Naima
      </surname>
      <given-names>
       Ouzeddoun
      </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>
       Tarik
      </surname>
      <given-names>
       Bouattar
      </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>
       Nawal
      </surname>
      <given-names>
       Doghmi
      </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>
       Laila
      </surname>
      <given-names>
       Lahlou
      </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>
       Loubna
      </surname>
      <given-names>
       Benamar
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aNephrology-Dialysis-Renal Transplantation Department, Ibn Sina University Hospital, Mohamed V University, Rabat, Morocco
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Cardiology B, Ibn Sina University Hospital, Mohamed V University, Rabat, Morocco
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aLaboratory of Biostatistics, Clinical Research and Epidemiology, Department of Public Health, Mohamed V University, Rabat, Morocco
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     24
    </day> 
    <month>
     07
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    14
   </volume> 
   <issue>
    07
   </issue>
   <fpage>
    435
   </fpage>
   <lpage>
    445
   </lpage>
   <history>
    <date date-type="received">
     <day>
      23,
     </day>
     <month>
      June
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      21,
     </day>
     <month>
      June
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      21,
     </day>
     <month>
      July
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    <b>Introduction:</b> Type 1 cardiorenal syndrome (CRS 1) is characterized by acute impairment of cardiac function leading to acute renal dysfunction. CRS1 is present in 25% of patients admitted for heart failure. The objective of our study is to analyze the epidemiological, clinical, therapeutic profile and the risk and prognostic factors of these patients. 
    <b>Materials</b> 
    <b>and</b> 
    <b>Methods:</b> We identified 120 patients with cardiorenal syndrome (CRS) over a one-year period to determine the prevalence and risk factors for developing CRS 1. We analyzed the clinical, biological, and evolutionary profiles of patients with CRS 1 and determined the risk factors for the occurrence of acute kidney injury (AKI) as well as the mortality factors in these patients. 
    <b>Résultats</b>
    <b>:</b> The average age of our patients with CRS1 is 58 ± 9 years, with a sex ratio of 1.4. The average eGFR of our patients is 35 ± 6.5 ml/min/1.73m
    <sup>2</sup>. Diabetes was found in 17% of our patients and hypertension in 14%. The etiology of cardiac impairment is predominantly acute coronary syndrome (ACS), followed by rhythm disorders. Renally, all our patients have acute kidney injury (AKI), with 86% having functional acute renal failure and 14% having acute tubular necrosis. Therapeutically, 50% of our patients are on diuretics, 42% receive beta-blocker treatment, and RAAS blockers are used in 29% of cases. Renal replacement therapy (RRT) sessions were required in 13.8% of cases. In univariate analysis, male gender, tachyarrhythmia, and hypertension are associated with the early onset of acute kidney injury (AKI). The use of diuretics, anemia, and low left ventricular ejection fraction (LVEF) are linked to a higher risk of developing CRS 1 (p = 0.021, p = 0.037, p = 0.010 respectively). In multivariate analysis, advanced age is significantly associated with increased mortality risk in CRS 1 patients (p = 0.030), while beta-blocker use is considered a protective factor (p = 0.014). 
    <b>Conclusion:</b> Our study identifies several key factors associated with outcomes in type 1 CRS. Male gender, tachyarrhythmia, and hypertension are linked to early-onset AKI. The use of diuretics and the presence of anemia increase the risk of developing CRS1. Advanced age is significantly associated with higher mortality rates. Conversely, the use of beta-blockers appears to be protective in this patient population. 
   </abstract>
   <kwd-group> 
    <kwd>
     Acute Kidney Injury
    </kwd> 
    <kwd>
      Type 1 Cardiorenal Syndrome
    </kwd> 
    <kwd>
      Acute Heart Failure
    </kwd> 
    <kwd>
      Diuretics 
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Type 1 cardiorenal syndrome (CRS 1) refers to acute kidney injury induced by an acute deterioration of cardiac function. Worsening renal function is a powerful and independent predictor of poor prognosis.</p>
   <p>Acute heart failure (AHF), characterized by an acute or subacute worsening of heart failure (HF) symptoms and signs, is a clinical and public health problem with high morbidity, mortality, and economic burden. AHF generally coexists with many complications, among which renal dysfunction is the most common, with a prevalence of approximately 25% to 40% <xref ref-type="bibr" rid="scirp.134767-1">
     [1]
    </xref> <xref ref-type="bibr" rid="scirp.134767-2">
     [2]
    </xref>.</p>
   <p>Hemodynamic mechanisms play an important role in the pathogenesis of CRS1. Primarily, low cardiac output leads to renal hypoperfusion, resulting in initially functional acute kidney injury, which subsequently progresses to acute tubular necrosis. This reduction in renal perfusion is associated with renal congestion, explaining the renal damage and subsequent loss of function.</p>
   <p>Several studies have shown that renal insufficiency is an independent prognostic factor for the occurrence of multiple adverse events, notably cardiovascular mortality and increased length of hospitalization for AHF. The management of CRS 1 is a challenge for both nephrologists and cardiologists <xref ref-type="bibr" rid="scirp.134767-3">
     [3]
    </xref> <xref ref-type="bibr" rid="scirp.134767-4">
     [4]
    </xref>.</p>
   <p>The objective of our study is to analyze the clinical, biological, and evolutionary profiles of patients with CRS 1, to determine the risk factors for the onset of AKI, the factors influencing the progression to chronic kidney disease (CKD), and the mortality factors in these patients.</p>
  </sec><sec id="s2">
   <title>2. Material and Methods</title>
   <sec id="s2_1">
    <title>2.1. Study Population</title>
    <p>Our study was conducted in the nephrology and cardiology departments of Ibn Sina University Hospital in Rabat over a one-year period. Among the 120 patients with any type of CRS, we studied those with CRS 1. We included all patients who are over 30 years old. We excluded patients with obstructive renal insufficiency.</p>
    <p>Epidemiological, anamnestic, clinical, biological, radiological, and therapeutic data were obtained from the patients’ medical records. All biological and radiological tests were performed at the biology and radiology centers of Ibn Sina University Hospital.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Definitions</title>
    <p>CRS 1 is defined as any acute cardiac failure leading to acute kidney injury. The different types of CRS are defined according to the classification by Ronco and colleagues (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.134767-"></xref>Table 1. Classification of Cardiorenal Syndrome (according to Ronco et al.) <xref ref-type="bibr" rid="scirp.134767-5">
        [5]
       </xref>.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.31%"><p style="text-align:center">Type</p></td> 
       <td class="custom-bottom-td acenter" width="85.69%"><p style="text-align:center">Description</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="14.31%"><p style="text-align:center">CRS 1</p></td> 
       <td class="custom-top-td aleft" width="85.69%"><p style="text-align:left">Acute Cardiorenal Syndrome: Acute cardiac failure leading to acutekidney injury.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.31%"><p style="text-align:center">CRS 2</p></td> 
       <td class="aleft" width="85.69%"><p style="text-align:left">Chronic Cardiorenal Syndrome: Chronic cardiac dysfunction leading to chronic kidney disease.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.31%"><p style="text-align:center">CRS 3</p></td> 
       <td class="aleft" width="85.69%"><p style="text-align:left">Acute Renocardiac Syndrome: Acute kidney injury leading to acute cardiac dysfunction.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.31%"><p style="text-align:center">CRS 4</p></td> 
       <td class="aleft" width="85.69%"><p style="text-align:left">Chronic Renocardiac Syndrome: Chronic kidney disease leading to chronic cardiac dysfunction.</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.31%"><p style="text-align:center">CRS 5</p></td> 
       <td class="aleft" width="85.69%"><p style="text-align:left">Secondary Cardiorenal Syndrome: Systemic conditions causing both cardiac and renal dysfunction.</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Acute kidney injury (AKI) is defined according to the KDIGO 2012 classification for AKI <xref ref-type="bibr" rid="scirp.134767-6">
      [6]
     </xref>.</p>
    <p>Chronic kidney disease (CKD) is defined by an estimated glomerular filtration rate (eGFR) of less than 60 ml/min/1.73m<sup>2</sup> for more than three months (KDIGO 2012 classification). The eGFR is calculated using the Modification of Diet in Renal Disease (MDRD) equation <xref ref-type="bibr" rid="scirp.134767-7">
      [7]
     </xref>.</p>
    <p>The diagnosis of heart failure is based on clinical signs of heart failure combined with elevated biomarkers and/or systolic or diastolic dysfunction on echocardiography, according to the 2021 recommendations of the European Society of Cardiology (ESC) <xref ref-type="bibr" rid="scirp.134767-8">
      [8]
     </xref>.</p>
    <p>A long duration of hospitalization is defined as a hospital stay exceeding ten days. We followed our patients for three months after discharge from the hospital.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Collected Parameters</title>
    <p>We collected epidemiological data including the prevalence of CRS 1, gender, and age of our patients. We documented their comorbidities such as diabetes, hypertension, ischemic heart disease, and arrhythmias.</p>
    <p>Biological assessments included evaluating the severity of renal insufficiency through serum creatinine levels and estimated glomerular filtration rate (eGFR), as well as cardiac involvement assessed by troponin and B-type natriuretic peptide (BNP) levels.</p>
    <p>Renal ultrasound was performed for all patients to rule out obstructive causes of renal insufficiency and assess kidney size. Cardiac ultrasound was also conducted for all patients to detect signs of overload by assessing inferior vena cava diameter and filling pressures, signs of global or segmental hypokinesia, and to evaluate left ventricular ejection fraction (LVEF).</p>
    <p>Regarding therapy, we documented the medications taken by our patients including renin-angiotensin-aldosterone system (RAAS) blockers, diuretics, and beta-blockers. We also recorded patients who underwent renal replacement therapy (RRT).</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Criteria for Assessment</title>
    <p>The evolution of our patients is characterized by either definitive healing, indicated by clinical and biological improvement with complete recovery of renal function, or progression to chronic kidney disease (CKD), or death either during hospitalization or within one month after discharge.</p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Statistical Analysis</title>
    <p>All statistical calculations were performed using the Jamovi software. Quantitative variables are presented as means ± standard deviation, medians with interquartile ranges, or proportions, as appropriate. Continuous variables are compared using Student’s t-test or Mann-Whitney U test. Qualitative variables are expressed as percentages and compared using the chi-square test or Fisher’s exact test. A p-value less than 0.05 is considered statistically significant. We employed logistic regression in both univariate and multivariate analyses to determine prognostic factors.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Characteristics of Patients with CRS 1</title>
    <p>Among the 120 patients enrolled with any type of CRS, 36 had CRS 1, representing a prevalence of 30%. The average age of our patients was 58 ± 9 years, ranging from 39 to 75 years, with a sex ratio of 1.4 (male to female). The average eGFR of our patients was 35 ± 6.5 ml/min∙1.73m<sup>2</sup>.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.134767-"></xref>Ischemic heart disease was observed in 80% of our patients, while arrhythmic heart disease was present in 25% of cases. Diabetes mellitus was found in 17% of our patients, and hypertension was present in 14% of cases.</p>
    <p>We admitted 20 patients with CKD stage 1 to the intensive care units. <xref ref-type="table" rid="table2">
      Table 2
     </xref> summarizes the clinical, biological, therapeutic, and evolutionary characteristics of patients with CRS 1.</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.134767-"></xref>Table 2. Characteristics of patients with CRS 1.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="62.83%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="37.17%"><p style="text-align:center">Type 1 CRS</p><p style="text-align:center">n = 36 (30%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="62.83%"><p style="text-align:center">Median age</p></td> 
       <td class="custom-top-td acenter" width="37.17%"><p style="text-align:center">58 ± 9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Sex ratio(M/F)</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">1.4</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="62.83%"><p style="text-align:center">LVEF</p></td> 
       <td class="custom-bottom-td acenter" width="37.17%"><p style="text-align:center">63%</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="62.83%"><p style="text-align:center">Medical History</p></td> 
       <td class="custom-top-td acenter" width="37.17%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Dyspnea stage III of VI (NYHA)</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">19 (52.8%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">High Blood Pressure</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">6 (16.7%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Diabetes</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">5 (13.8%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Ischemic Heart Disease</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">29 (80.5%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Rhythmic Heart Disease</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">9 (25%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Hemoglobin (g/dL)</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">9.7 ± 2.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Creatinine (mg/L)</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">20 ± 7.2</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="62.83%"><p style="text-align:center">GFR (ml/min/1.73m<sup>2</sup>)</p></td> 
       <td class="custom-bottom-td acenter" width="37.17%"><p style="text-align:center">35 ± 6.5</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="62.83%"><p style="text-align:center">Treatment</p></td> 
       <td class="custom-top-td acenter" width="37.17%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">ACE/ARB</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">10 (27.8%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Beta-blocker</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">15 (41.7%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Diuretic</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">18 (50%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="62.83%"><p style="text-align:center">Vasoactive drugs</p></td> 
       <td class="custom-bottom-td acenter" width="37.17%"><p style="text-align:center">4 (11.1%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="62.83%"><p style="text-align:center">Evolution</p></td> 
       <td class="custom-top-td acenter" width="37.17%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">Resorting to hemodialysis</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">5 (13.8%)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="62.83%"><p style="text-align:center">In-hospital mortality</p></td> 
       <td class="acenter" width="37.17%"><p style="text-align:center">6 (16.7%)</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>GFR = Glomerular Filtration Rate; LVEF = Left Ventricular Ejection Fraction; ACE = Angiotensin-Converting Enzyme inhibitor; ARB = Angiotensin II Receptor Blocker.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Risk Factors for the Occurrence of CRS 1</title>
    <p>
     <xref ref-type="bibr" rid="scirp.134767-"></xref>Diuretics are the first-line treatment for patients experiencing heart failure exacerbation. Among our patients with type 1 CRS, diuretics are used in 50% of cases. In univariate analysis, several parameters were studied to identify risk factors for the occurrence of type 1 CRS. Those found to be statistically significant are the maintenance of high doses of diuretics, anemia, and low LVEF (Left Ventricular Ejection Fraction) (OR = 3.189, p = 0.021; OR = 2.521, p = 0.037; OR = 1.734, p = 0.010 respectively) (<xref ref-type="table" rid="table3">
      Table 3
     </xref>).</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Risk Factors for Early Onset of AKI</title>
    <p>
     <xref ref-type="bibr" rid="scirp.134767-"></xref>We studied certain parameters to identify those associated with the onset of AKI, and found that male gender, tachycardia, and hypertension are risk factors for early onset of AKI (<xref ref-type="table" rid="table4">
      Table 4
     </xref>).</p>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.134767-"></xref>Table 3. Risk factors for the occurrence of CRS 1.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="48.14%"><p style="text-align:center"></p></td> 
       <td rowspan="2" class="acenter" width="13.41%"><p style="text-align:center">OR</p></td> 
       <td class="custom-bottom-td acenter" width="26.82%" colspan="2"><p style="text-align:center">IC 95%</p></td> 
       <td rowspan="2" class="acenter" width="11.62%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.41%"><p style="text-align:center">lower</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.41%"><p style="text-align:center">higher</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="48.14%"><p style="text-align:center">Advanced age</p></td> 
       <td class="custom-top-td acenter" width="13.41%"><p style="text-align:center">2.157</p></td> 
       <td class="custom-top-td acenter" width="13.41%"><p style="text-align:center">1.951</p></td> 
       <td class="custom-top-td acenter" width="13.41%"><p style="text-align:center">2.985</p></td> 
       <td class="custom-top-td acenter" width="11.62%"><p style="text-align:center">0.543</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="48.14%"><p style="text-align:center">Male gender</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">3.875</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">2.346</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">4.172</p></td> 
       <td class="acenter" width="11.62%"><p style="text-align:center">0.628</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="48.14%"><p style="text-align:center">High Blood Pressure</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">1.652</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">1.324</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">1.782</p></td> 
       <td class="acenter" width="11.62%"><p style="text-align:center">0.071</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="48.14%"><p style="text-align:center">Contrast agent injection</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">2.874</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">4.651</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">5.823</p></td> 
       <td class="acenter" width="11.62%"><p style="text-align:center">0.437</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="48.14%"><p style="text-align:center">Maintenance of high-dose diuretics</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">3.189</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">2.893</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">4.323</p></td> 
       <td class="acenter" width="11.62%"><p style="text-align:center">0.021</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="48.14%"><p style="text-align:center">Anemia</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">2.521</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">2.361</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">2.981</p></td> 
       <td class="acenter" width="11.62%"><p style="text-align:center">0.037</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="48.14%"><p style="text-align:center">Impaired LVEF</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">1.734</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">1.498</p></td> 
       <td class="acenter" width="13.41%"><p style="text-align:center">1.832</p></td> 
       <td class="acenter" width="11.62%"><p style="text-align:center">0.010</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>LVEF: Left Ventricular Ejection Fraction.</p>
    <table-wrap id="table4">
     <label>
      <xref ref-type="table" rid="table4">
       Table 4
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.134767-"></xref>Table 4. Risk factors for early onset of AKI.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="34.75%"><p style="text-align:center"></p></td> 
       <td rowspan="2" class="acenter" width="15.95%"><p style="text-align:center">OR</p></td> 
       <td class="custom-bottom-td acenter" width="33.85%" colspan="2"><p style="text-align:center">IC 95%</p></td> 
       <td rowspan="2" class="acenter" width="15.45%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.93%"><p style="text-align:center">lower</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.93%"><p style="text-align:center">higher</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="34.75%"><p style="text-align:center">Advanced age</p></td> 
       <td class="custom-top-td acenter" width="15.95%"><p style="text-align:center">1.936</p></td> 
       <td class="custom-top-td acenter" width="16.93%"><p style="text-align:center">2.892</p></td> 
       <td class="custom-top-td acenter" width="16.93%"><p style="text-align:center">3.172</p></td> 
       <td class="custom-top-td acenter" width="15.45%"><p style="text-align:center">0.172</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="34.75%"><p style="text-align:center">Ischemic heart disease</p></td> 
       <td class="acenter" width="15.95%"><p style="text-align:center">2.734</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">3.194</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">3.764</p></td> 
       <td class="acenter" width="15.45%"><p style="text-align:center">0.642</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="34.75%"><p style="text-align:center">Anemia</p></td> 
       <td class="acenter" width="15.95%"><p style="text-align:center">1.395</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">1.934</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">2.742</p></td> 
       <td class="acenter" width="15.45%"><p style="text-align:center">0.462</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="34.75%"><p style="text-align:center">Male gender</p></td> 
       <td class="acenter" width="15.95%"><p style="text-align:center">4.183</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">1.017</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">5.659</p></td> 
       <td class="acenter" width="15.45%"><p style="text-align:center">0.048</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="34.75%"><p style="text-align:center">Tachycardia</p></td> 
       <td class="acenter" width="15.95%"><p style="text-align:center">1.341</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">1.122</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">1.765</p></td> 
       <td class="acenter" width="15.45%"><p style="text-align:center">0.008</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="34.75%"><p style="text-align:center">High blood pressure</p></td> 
       <td class="acenter" width="15.95%"><p style="text-align:center">3.739</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">2.273</p></td> 
       <td class="acenter" width="16.93%"><p style="text-align:center">4.215</p></td> 
       <td class="acenter" width="15.45%"><p style="text-align:center">0.031</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s3_4">
    <title>3.4. Risk Factors for Progression to CKD</title>
    <p>We analyzed certain patient data to identify factors associated with poor renal prognosis, and found that anemia and the need for RRT sessions are risk factors for progression to CKD, while male gender and hypertension are not significantly associated with CKD (<xref ref-type="table" rid="table5">
      Table 5
     </xref>).</p>
    <table-wrap id="table5">
     <label>
      <xref ref-type="table" rid="table5">
       Table 5
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.134767-"></xref>Table 5. Risk factors for progression to CKD.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="29.00%"><p style="text-align:center"></p></td> 
       <td rowspan="2" class="acenter" width="18.29%"><p style="text-align:center">OR</p></td> 
       <td class="custom-bottom-td acenter" width="37.47%" colspan="2"><p style="text-align:center">IC 95%</p></td> 
       <td rowspan="2" class="acenter" width="15.24%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="18.73%"><p style="text-align:center">lower</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="18.73%"><p style="text-align:center">higher</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="29.00%"><p style="text-align:center">Hypertension</p></td> 
       <td class="acenter" width="18.29%"><p style="text-align:center">1.894</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">1.518</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">2.134</p></td> 
       <td class="acenter" width="15.24%"><p style="text-align:center">0.880</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="29.00%"><p style="text-align:center">Anemia</p></td> 
       <td class="acenter" width="18.29%"><p style="text-align:center">3.715</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">3.521</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">4.182</p></td> 
       <td class="acenter" width="15.24%"><p style="text-align:center">0.041</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="29.00%"><p style="text-align:center">RRT</p></td> 
       <td class="acenter" width="18.29%"><p style="text-align:center">2.134</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">2.105</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">2.567</p></td> 
       <td class="acenter" width="15.24%"><p style="text-align:center">0.031</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="29.00%"><p style="text-align:center">Male gender</p></td> 
       <td class="acenter" width="18.29%"><p style="text-align:center">2.167</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">2.097</p></td> 
       <td class="acenter" width="18.73%"><p style="text-align:center">2.481</p></td> 
       <td class="acenter" width="15.24%"><p style="text-align:center">0.781</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>RRT: Renal Replacement Therapy.</p>
   </sec>
   <sec id="s3_5">
    <title>3.5. Risk Factors for Mortality in Patients with CRS 1</title>
    <p>We conducted a multivariate analysis of patient parameters to identify risk factors for mortality in type 1 CRS patients. We found that advanced age is significantly associated with death (OR = 2.134, p = 0.030), while the use of beta-blockers is considered a protective factor (OR = 0.219, p = 0.014). The use of diuretics and dialysis sessions is not correlated with mortality (<xref ref-type="table" rid="table6">
      Table 6
     </xref>).</p>
    <table-wrap id="table6">
     <label>
      <xref ref-type="table" rid="table6">
       Table 6
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.134767-"></xref>Table 6. Risk factors for mortality in patients with CRS 1.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="30.06%"><p style="text-align:center"></p></td> 
       <td rowspan="2" class="acenter" width="17.02%"><p style="text-align:center">OR</p></td> 
       <td class="custom-bottom-td acenter" width="37.90%" colspan="2"><p style="text-align:center">IC 95%</p></td> 
       <td rowspan="2" class="acenter" width="15.02%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="18.95%"><p style="text-align:center">lower</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="18.95%"><p style="text-align:center">higher</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="30.06%"><p style="text-align:center">Advanced age</p></td> 
       <td class="custom-top-td acenter" width="17.02%"><p style="text-align:center">2.134</p></td> 
       <td class="custom-top-td acenter" width="18.95%"><p style="text-align:center">1.985</p></td> 
       <td class="custom-top-td acenter" width="18.95%"><p style="text-align:center">2.678</p></td> 
       <td class="custom-top-td acenter" width="15.02%"><p style="text-align:center">0.030</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="30.06%"><p style="text-align:center">Use of beta-blockers</p></td> 
       <td class="acenter" width="17.02%"><p style="text-align:center">0.219</p></td> 
       <td class="acenter" width="18.95%"><p style="text-align:center">0.142</p></td> 
       <td class="acenter" width="18.95%"><p style="text-align:center">0.542</p></td> 
       <td class="acenter" width="15.02%"><p style="text-align:center">0.014</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="30.06%"><p style="text-align:center">Use of diuretics</p></td> 
       <td class="acenter" width="17.02%"><p style="text-align:center">1.583</p></td> 
       <td class="acenter" width="18.95%"><p style="text-align:center">1.452</p></td> 
       <td class="acenter" width="18.95%"><p style="text-align:center">1.852</p></td> 
       <td class="acenter" width="15.02%"><p style="text-align:center">0.657</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="30.06%"><p style="text-align:center">RRT</p></td> 
       <td class="acenter" width="17.02%"><p style="text-align:center">1.937</p></td> 
       <td class="acenter" width="18.95%"><p style="text-align:center">1.153</p></td> 
       <td class="acenter" width="18.95%"><p style="text-align:center">2.021</p></td> 
       <td class="acenter" width="15.02%"><p style="text-align:center">0.783</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>RRT: Renal Replacement Therapy.</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <sec id="s4_1">
    <title>4.1. Epidemiology</title>
    <p>CRS 1 occurs in 25% - 35% of patients admitted for heart failure decompensation, with its incidence varying based on criteria used for AKI diagnosis and the etiology responsible for cardiac dysfunction. Thirteen percent of patients with acute coronary syndrome and impaired cardiac function present with CRS <xref ref-type="bibr" rid="scirp.134767-9">
      [9]
     </xref>-<xref ref-type="bibr" rid="scirp.134767-11">
      [11]
     </xref>.</p>
    <p>In our study, the prevalence of type 1 CRS is 30%. This aligns with the study by Cowie et al., and with Nohria et al., where the prevalence of CRS 1 is respectively 29% and 29.5%. While in the study by Gottlieb et al., the prevalence is 39%, and in the study by Lorgeart et al., it is 37%.</p>
    <p>The etiology of cardiac involvement is predominantly acute coronary syndrome followed by arrhythmias. Decompensations of heart failure and cardiogenic shock are also observed in our patients.</p>
    <p>Several studies have shown that the onset of acute kidney injury is early in hospitalized heart failure patients, with forty percent developing renal dysfunction within 3 days of hospital admission <xref ref-type="bibr" rid="scirp.134767-10">
      [10]
     </xref>. In our study, 42% of our patients developed AKI within four days of hospitalization, consistent with literature findings.</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Pathophysiology</title>
    <p>The pathophysiological mechanisms through which acute cardiac dysfunction leads to impaired renal function are complex and multifaceted. These mechanisms can be categorized into hemodynamic and non-hemodynamic mechanisms.</p>
    <p>Hemodynamic mechanisms play a crucial role in the pathogenesis of type 1 cardio-renal syndrome. Firstly, reduced renal perfusion pressure due to decreased cardiac output leads to renal hypoperfusion, resulting in initially functional acute kidney injury (AKI) that can progress to acute tubular necrosis. This reduction in renal perfusion is associated with increased venous congestion (renal congestion), which decreases oxygen delivery, thereby causing renal impairment and loss of function <xref ref-type="bibr" rid="scirp.134767-5">
      [5]
     </xref>.</p>
    <p>Simultaneously, non-hemodynamic mechanisms come into play, including activation of the sympathetic nervous system, activation of the renin-angiotensin-aldosterone system (RAAS), hormonal responses (natriuretic factors), and an inflammatory response involving cytokine production and free radical formation. Additionally, iatrogenic mechanisms contribute to understanding the pathophysiological pathways. Certain pharmacological treatments can induce renal toxicity (antibiotics, iodinated contrast agents, diuretics) and/or alter renal vasomotricity. Metformin, widely used for type 2 diabetes treatment, can lead to lactic acidosis upon accumulation, potentially contributing to negative inotropic effects <xref ref-type="bibr" rid="scirp.134767-5">
      [5]
     </xref>.</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Prognostic Factors</title>
    <p>A Chinese study focusing on elderly subjects with CRS 1 showed that malnutrition, chronic kidney disease, heart failure, and high-dose diuretic use contribute to CRS 1 <xref ref-type="bibr" rid="scirp.134767-12">
      [12]
     </xref>. Zehra Eren et al. reported that advanced age, history of hypertension, chronic kidney disease, and anemia are significantly associated with AKI in patients with acute coronary syndrome (ACS) <xref ref-type="bibr" rid="scirp.134767-13">
      [13]
     </xref>. Valério Verdiani also demonstrated that elderly individuals with heart failure and a history of renal insufficiency are at higher risk of developing AKI <xref ref-type="bibr" rid="scirp.134767-14">
      [14]
     </xref>.</p>
    <p>In our study, however, it is predominantly male gender, tachycardia, and hypertension that are associated with early onset AKI in patients with acute coronary artery syndrome. In multivariate analysis, we found that diuretic use, anemia, and left ventricular ejection fraction (LVEF) are high-risk factors for CRS 1.</p>
    <p>Some studies have shown that beta-blockers and diuretics are protective factors against type 1 CRS, while other studies indicate that high-dose and long-term diuretic use are independent risk factors for type 1 CRS.</p>
    <p>In our study, we found that only the use of beta-blockers was associated with a protective effect, while the use of high-dose and long-term diuretics was identified as a risk factor for the occurrence of CRS 1. These results underscore the increased vulnerability of elderly patients to diuretics, emphasizing the need for careful monitoring of fluid balance and urine output in elderly individuals with heart failure. Additionally, higher estimated glomerular filtration rate (eGFR) and serum albumin levels emerged as protective factors in our patient cohort <xref ref-type="bibr" rid="scirp.134767-13">
      [13]
     </xref>.</p>
    <p>Regarding mortality, our study diverges from some findings in the literature. While renal replacement therapy (RRT) has been identified as an independent risk factor for mortality in type 1 CRS patients in other studies <xref ref-type="bibr" rid="scirp.134767-14">
      [14]
     </xref>, we did not find this association in our investigation. The mortality rate among patients with type 1 CRS in our study was 16.7%, which falls within the range reported in the literature (5.5% to 18.2%) <xref ref-type="bibr" rid="scirp.134767-15">
      [15]
     </xref>. This underscores the variability in outcomes and risk factors across different patient populations and settings.</p>
   </sec>
  </sec><sec id="s5">
   <title>5. Limitations</title>
   <p>The study might be limited by the relatively small number of included patients, which can limit statistical power to detect significant associations. Selection bias could be a possibility, as the data were collected from medical records across different units.</p>
  </sec><sec id="s6">
   <title>6. Conclusion</title>
   <p>Our study identifies several key factors associated with outcomes in type 1 CRS. Male gender, tachyarrhythmia, and hypertension are linked to early-onset AKI. The use of diuretics and the presence of anemia increase the risk of developing CRS 1. Advanced age is significantly associated with higher mortality rates. Conversely, the use of beta-blockers appears to be protective in this patient population. These findings underscore the importance of targeted management strategies to mitigate risks and optimize outcomes in patients with type 1 CRS.</p>
  </sec><sec id="s7">
   <title>Abbreviations</title>
   <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">ACS:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Acute Coronary Syndrome</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">AHF:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Acute Heart Failure</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">AKI:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Acute Kidney Injury</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">ATN:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Acute Tubular Necrosis</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">CKD:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">chronic Kidney Disease</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">CRS:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Cardiorenal Syndrome</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">CRS1:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Type 1 Cardiorenal Syndrome</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">eGFR:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">estimated Glomerular Filtration Rate</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">GFR:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Glomerular Filtration Rate</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">HF:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Heart Failure</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">HTA:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Hypertension</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">LVEF:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Left Ventricular Ejection Fraction</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">RAAS:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Renin-Angiotensin-Aldosterone System</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="11.98%"><p style="text-align:left">RRT:</p></td> 
     <td class="aleft" width="88.02%"><p style="text-align:left">Renal Replacement Therapy</p></td> 
    </tr> 
   </table>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.134767-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Harjola, V.P., et al. (2017) Organ Dysfunction, Injury and Failure in Acute Heart Failure: From Pathophysiology to Diagnosis and Management. A Review on Behalf of the Acute Heart Failure Committee of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). European Journal of Heart Failure, 19, 821-836. &gt;https://doi.org/10.1002/ejhf.872 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cheema, B., et al. (2018) Lessons Learned in Acute Heart Failure. European Journal of Heart Failure, 20, 630-641. &gt;https://doi.org/10.1002/ejhf.1042 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Metra, M., et al. (2008) Worsening Renal Function in Hospitalized Patients with Acute Heart Failure: Clinical Implications and Prognostic Significance. European Journal of Heart Failure, 10, 188-195. &gt;https://doi.org/10.1016/j.ejheart.2008.01.011 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Logeart, D., et al. (2008) Transient Worsening Renal Function during Hospitalization for Acute Heart Failure Alters Outcome. International Journal of Cardiology, 127, 228-232. &gt;https://doi.org/10.1016/j.ijcard.2007.06.007 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Michel, T., et al. (2018) The Cardio-Renal Syndrome. Anesthésie&amp;Réanimation, 4, 386-396. &gt;https://doi.org/10.1016/j.anrea.2018.07.005 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ostermann, M., et al. (2016) Acute Kidney Injury 2016: Diagnosis and Diagnostic Workup. Critical Care, 20, Article No. 299. &gt;https://doi.org/10.1186/s13054-016-1478-z
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Livio, F., et al. (2008) Estimation of Renal Function by the MDRD Equation: Interest and Limits for Drug Dose Adjustment. Revue Médicale Suisse, 4, 2596-600. &gt;https://doi.org/10.53738/REVMED.2008.4.181.2596
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mcdonagh, T., et al. (2021) ESC Guidelines 2021 for the Diagnosis and Treatment of Acute and Chronic Heart Failure. European Heart Journal, 42, 3599-3726. &gt;https://doi.org/10.1093/eurheartj/ehab368
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Dar, O., et al. (2008) Acute Heart Failure in the Intensive Care Unit: Epidemiology. Critical Care Medicine, 36, S3-S8. &gt;https://doi.org/10.1097/01.CCM.0000296264.41365.80
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bagshaw, S.M., et al. (2010) Epidemiology of Cardio-Renal Syndromes: Workgroup Statements from the 7th ADQI Consensus Conference. Nephrology Dialysis Transplantation, 25, 1406-1416. &gt;https://doi.org/10.1093/ndt/gfq066 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Vandenberghe, W., et al. (2016) Acute Kidney Injury in Cardiorenal Syndrome Type 1 Patients: A Systematic Review and Meta-Analysis. Cardiorenal Medicine, 6, 116-128. &gt;https://doi.org/10.1159/000442300 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wenxue, H., et al. (2016) Risk Factors and Prognosis of Cardiorenal Syndrome Type 1 in Elderly Chinese Patients: A Retrospective Observational Cohort Study. Kidney and Blood Pressure Research, 41, 672-679. &gt;https://doi.org/10.1159/000447936 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Eren, Z., et al. (2012) A Single-Centre Study of Acute Cardiorenal Syndrome: Incidence, Risk Factors and Consequences. Cardiorenal Medicine, 2, 168-176. &gt;https://doi.org/10.1159/000337714 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Verdiani, V., et al. (2011) Worsening Renal Function in Patients Hospitalized with Acute Heart Failure: Risk Factors and Prognostic Significance. International Journal of Nephrology, 2011, Article 785974. &gt;https://doi.org/10.4061/2011/785974 
    </mixed-citation>
   </ref>
   <ref id="scirp.134767-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Shirakabe, A., et al. (2013) Prognostic Impact of Acute Kidney Injury in Patients with Acute Decompensated Heart Failure. Circulation Journal, 77, 687-696. &gt;https://doi.org/10.1253/circj.CJ-12-0994
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>