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  <front>
    <journal-meta id="journal-meta-1">
      <journal-id journal-id-type="nlm-ta">Biomedical Research and Therapy</journal-id>
      <journal-id journal-id-type="publisher-id">Biomedical Research and Therapy</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">http://bmrat.org/</journal-id>
      <journal-title-group>
        <journal-title>Biomedical Research and Therapy</journal-title>
      </journal-title-group>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta id="article-meta-1">
      <article-id pub-id-type="doi"> 10.15419/bmrat.v11i6.895</article-id>
      <title-group>
        <article-title id="at-cfa73130749c">The value of hematological indices as predictors of septic shock in </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-b8956da08101">
            <surname>Truong</surname>
            <given-names>Minh Hoang</given-names>
          </name>
          <xref id="x-6e3713dfb2ad" rid="a-962472f3759d" ref-type="aff">1</xref>
          <xref id="x-5730c3480e84" rid="a-c3878a73d69b" ref-type="aff">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0001-8044-6376</contrib-id>
          <name id="n-c14075d8c2f2">
            <surname>Ngo</surname>
            <given-names>Trung Quang</given-names>
          </name>
          <email>dr.ngoquangtrung@gmail.com</email>
          <xref id="x-5b98c6cfa5d8" rid="a-962472f3759d" ref-type="aff">1</xref>
          <xref id="x-a20f0c4a4868" rid="a-c3878a73d69b" ref-type="aff">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-1d20fb198ad1">
            <surname>Nguyen</surname>
            <given-names>Quang Thanh</given-names>
          </name>
          <xref id="x-85e30240880f" rid="a-962472f3759d" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-0d5b8a27e538">
            <surname>To</surname>
            <given-names>Phat Thanh</given-names>
          </name>
          <xref id="x-2111b4352b03" rid="a-962472f3759d" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-2efcf9119f0e">
            <surname>Tran</surname>
            <given-names>Phong Thanh</given-names>
          </name>
          <xref id="x-93a2c49975b0" rid="a-962472f3759d" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-d657701b9873">
            <surname>Le</surname>
            <given-names>Hieu Dinh</given-names>
          </name>
          <xref id="x-6139eed52a08" rid="a-962472f3759d" ref-type="aff">1</xref>
          <xref id="x-8ea828959b42" rid="a-c3878a73d69b" ref-type="aff">2</xref>
        </contrib>
        <aff id="a-962472f3759d">
          <institution>Department of Urology and Andrology, People’s hospital 115, 527 Su Van Hanh st, Ward 12, District 10, Ho Chi Minh city, 700000, Viet Nam</institution>
        </aff>
        <aff id="a-c3878a73d69b">
          <institution>Department of Nephro-Urology and Andrology, Pham Ngoc Thach University of Medicine, 2 Duong Quang Trung st, Ward 12, District 10, Ho Chi Minh city, 700000, Viet Nam</institution>
        </aff>
      </contrib-group>
      <volume>11</volume>
      <issue>6</issue>
      <fpage>6488</fpage>
      <lpage>6493</lpage>
      <permissions/>
      <abstract id="abstract-8ebb024d1697">
        <title id="abstract-title-ace2390f0655">Abstract</title>
        <p id="p-4d8af44d3c67"><bold id="s-2e4b63c06215">Introduction</bold>: Acute Obstructive Pyelonephritis (AOP) is a severe and prevalent infection within the urinary system, prone to rapidly escalate into urosepsis and potentially result in septic shock, which poses a significant mortality risk. This study investigates the potential of certain blood parameters to serve as indicators for predicting the likelihood of developing septic shock in AOP patients. <bold id="s-30345241e018">Methods</bold>: We conducted a retrospective cohort study involving 60 patients who were diagnosed with AOP as a result of urinary tract stones or benign ureteral strictures, enrolled from August 2023 to February 2024. Key hematological data, including white blood cell count, neutrophil, lymphocyte, and platelet levels, as well as ratios such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), alongside the systemic immune-inflammation index (SII), were extracted from complete blood counts recorded at hospital admission. These parameters were analyzed using univariate and multivariate logistic regression models to assess their predictive value for septic shock. <bold id="s-3d5515a13289">Results</bold>: The analysis revealed that 22 out of 60 participants (36.7%) progressed to septic shock following AOP. Notably, the likelihood of septic shock was higher in patients with diabetes mellitus (DM) (p = 0.037), those with diminished lymphocyte (p = 0.043) and platelet counts (p &lt; 0.001), and elevated neutrophil-to-platelet ratio (p = 0.049) when compared to the non-septic shock cohort. Furthermore, multivariate logistic regression identified DM, NLR ≥ 8.7 (OR = 12.529, p = 0.030), and platelet counts below 150 x 10<sup id="s-23de979eb0d8">9</sup>/L (OR = 4.375, p = 0.049) as independent predictors of septic shock. <bold id="s-f84c224dec3a">Conclusion</bold>: Elevated NLR, reduced platelet count, and the presence of DM are significant predictors for the development of septic shock in patients afflicted with AOP. These findings suggest that closer monitoring and management of these parameters could be crucial in the early identification and treatment of patients at higher risk of septic shock.</p>
      </abstract>
      <kwd-group id="kwd-group-1">
        <title>Keywords</title>
        <kwd>Hematological indices</kwd>
        <kwd>septic shock</kwd>
        <kwd>acute obstructive pyelonephritis</kwd>
        <kwd>NLR</kwd>
        <kwd>PLR</kwd>
        <kwd>SII</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="t-32548ed0b769">Introduction</title>
      <p id="p-bb0d0ecb2ec2">Acute pyelonephritis is an inflammatory condition significantly affecting the renal parenchyma, predominantly caused by various pathogens, especially bacteria. When this condition is accompanied by upper urinary tract obstruction, it is known as Acute Obstructive Pyelonephritis (AOP), which may result from urinary stones, ureteral strictures, or external pressures on the urinary tract<bold id="s-e1ceb7a37e12"><xref id="x-72c78cedff06" rid="R239812931257286" ref-type="bibr">1</xref></bold>. Notably, pyelonephritis is classified as the fifth most common kidney disease, with AOP impacting a significant 84% of individuals suffering from all types of pyelonephritis<bold id="s-6285a3fa2385"><xref id="x-b326212b5948" rid="R239812931257286" ref-type="bibr">1</xref></bold>. The progression to urosepsis and bacteriotoxic shock in AOP cases is a dangerously high possibility, presenting a mortality risk of 70-90%<bold id="s-6dd3b6d48a21"><xref id="x-9256ae493f8b" rid="R239812931257287" ref-type="bibr">2</xref></bold>. These statistics underscore the need for immediate attention and action, positioning AOP as a predominant concern in urological emergencies.</p>
      <p id="p-2d4b278521b3">The Complete Blood Count (CBC) stands as a foundational diagnostic tool in clinical practices. This accessible, economical test provides crucial insights into the blood's fundamental elements—red cells, white cells, and platelets—thereby reflecting the body’s reaction to infection, inflammation, and an array of conditions including cancer. Emerging research has spotlighted a number of pertinent hematological markers such as the Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and the Systemic Immune-Inflammation Index (SII). These indices are gaining recognition for their role in gauging the immune system's response to both infectious and non-infectious factors<bold id="s-515927bacd91"><xref rid="R239812931257288" ref-type="bibr">3</xref>, <xref rid="R239812931257289" ref-type="bibr">4</xref>, <xref rid="R239812931257290" ref-type="bibr">5</xref></bold>. Elevated levels of NLR, PLR, or SII are increasingly associated with less favorable health outcomes, enhancing their utility as diagnostic and prognostic indicators for a wide spectrum of diseases, encompassing cardiovascular disorders, respiratory conditions, rheumatic diseases, and various cancers—gastric, lung, colorectal, and ovarian malignancies, among others, even stretching to urologic ailments<bold id="s-f0fbf90a3f41"><xref rid="R239812931257288" ref-type="bibr">3</xref>, <xref rid="R239812931257289" ref-type="bibr">4</xref>, <xref rid="R239812931257290" ref-type="bibr">5</xref></bold>.</p>
      <p id="p-9952fd428b0d">This paper aims to assess the prognostic importance of these hematological indices, derived from admission-phase CBC, in forecasting the development of septic shock in AOP patients. Through this lens, we seek to advance our understanding and approach towards effectively managing this critical urological emergency.</p>
    </sec>
    <sec>
      <title id="t-6f65985aa330">Methods</title>
      <sec>
        <title id="t-a74ab50094bd">Study Design</title>
        <p id="p-06da62a8fcc3">We retrospectively analyzed all adult admissions to the Emergency Department and Department of Urology and Renal Transplantation at People’s Hospital 115 who were diagnosed with acute obstructive pyelonephritis by urologists between August 2023 and February 2024. The criteria for acute pyelonephritis included any two of the following criteria<bold id="s-fe85eb9531b3"><xref rid="R239812931257286" ref-type="bibr">1</xref>, <xref rid="R239812931257287" ref-type="bibr">2</xref>, <xref rid="R239812931257291" ref-type="bibr">6</xref></bold>: <bold id="s-fecadd8702ca">a</bold>) fever (axillary temperature ≥ 38.3°C); <bold id="s-1bcfa36e0e34">b</bold>) flank pain or costovertebral angle tenderness; <bold id="s-eab16139a431">c</bold>) preceding symptoms of cystitis (two or more of the following: dysuria, frequency, suprapubic pain, or urgency), along with the presence of pyuria (more than 5 white blood cells (WBCs)/high-power field in a centrifuged sediment), or a positive urine culture (more than 10<sup id="s-2092676ab511">4</sup> colony-forming units per high-power field). Acute obstructive pyelonephritis (AOP) was defined as acute pyelonephritis associated with upper urinary tract obstruction. Upper urinary tract obstruction was determined by acute hydronephrosis on imaging tests, usually such as abdominal ultrasound and contrast or non-contrast computed tomography (CT).</p>
        <p id="p-ea986d3059da">The exclusion criteria were as follows: pregnant women, upper urinary tract obstruction due to malignant factors, patients with a history of hematological disorders like leukemia, myeloproliferative disorders, etc., or those undergoing chemotherapy and radiotherapy, because these patients have more abnormalities in the complete blood count tests that induce bias.</p>
      </sec>
      <sec>
        <title id="t-8535a82a75c9">Sepsis and Septic Shock</title>
        <p id="p-8a418760eef2">According to the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3), sepsis is defined as “life-threatening organ dysfunction caused by a dysregulated host response to infection.” An increase of two points or more in the Sequential [Sepsis-related] Organ Failure Assessment (SOFA) score indicates the clinical diagnosis of organ failure. A quickSOFA (qSOFA) score was created for bedside rapid detection, which is based on three criteria: respiratory rate &gt; 22/min, impaired mentation (Glasgow Coma Scale &lt; 15), or systolic blood pressure ≤ 100 mmHg (positive if qSOFA ≥ 2)<bold id="s-197d0e392546"><xref id="x-fb2c02348ddd" rid="R239812931257292" ref-type="bibr">7</xref></bold>.</p>
        <p id="p-b2936fb828ed">The definition of septic shock is “a subset of sepsis in which particularly profound circulatory, cellular, and metabolic abnormalities are associated with a greater risk of mortality than with sepsis alone”. The clinical diagnosis of septic shock can be identified by the demand for vasopressors to maintain a mean arterial pressure of at least 65 mmHg and a serum lactate level greater than 2 mmol/L (&gt;18 mg/dL) when hypovolemia is absent<bold id="s-d58655660b47"><xref id="x-3bb207466d53" rid="R239812931257292" ref-type="bibr">7</xref></bold>.</p>
      </sec>
      <sec>
        <title id="t-c1128acf1a02">Data Collection and Statistical Analysis</title>
        <p id="p-4e6171d50f74">We divided the patients into two groups: septic shock and non-septic shock groups. Data on age, gender, medical history, and hematological indices derived from admission peripheral blood count, urinalysis, and urine culture were collected and analyzed. The peripheral CBC was performed on a Sysmex XN-2000 machine at People’s Hospital 115. The hematological parameters comprised absolute counts of white blood cells (WBC), neutrophils (N), lymphocytes (L), and platelets (P), and we also calculated the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). The formulas for NLR and PLR were the ratios of the absolute counts of neutrophils and platelets to the absolute counts of lymphocytes, respectively. The formula for SII was (N x P)/L (10<sup id="s-c19fb20ff68b">9</sup>/L)<bold id="s-37e606580d09"><xref rid="R239812931257288" ref-type="bibr">3</xref>, <xref rid="R239812931257289" ref-type="bibr">4</xref></bold>.</p>
        <p id="p-79a0f8a07e8f">We conducted univariate and multivariate statistical analyses using SPSS statistical software version 22 (SPSS Inc., Chicago, USA). We utilized t-tests and Mann-Whitney U tests to assess quantitative variables and Chi-square or Fisher’s exact tests for categorical variables between the septic shock and non-septic shock groups. The multivariate logistic regression was conducted to detect the association between the various potential risk factors mentioned above. Significance was defined as p &lt; 0.05.</p>
        <p id="p-ce8b89f3f250"/>
        <p id="p-aa6de1f33cd4"/>
        <table-wrap id="tw-aff615d254e6" orientation="portrait">
          <label>Table 1</label>
          <caption id="c-9dc2822574ab">
            <title id="t-a7f249205ddc">
              <bold id="s-f45e46428604">Charateristics of patients with and without septic shock due to AOP</bold>
            </title>
          </caption>
          <table id="table-1" rules="rows">
            <colgroup/>
            <thead id="table-section-header-07ac87610011">
              <tr id="tr-7f9fdb5a9f4f">
                <th id="tc-56edbc9ee91d" align="left">
                  <p id="p-9c0a13afc6ca">Variables</p>
                </th>
                <th id="tc-a8c5b51472c3" align="left">
                  <p id="p-a0912257fc4b">Septic Shock</p>
                </th>
                <th id="tc-30f6cc829715" align="left">
                  <p id="p-cfac524461d5">Non-septic shock</p>
                </th>
                <th id="tc-c9e7bfba19b0" align="left">
                  <p id="p-9952fa3aa1c0">P </p>
                </th>
              </tr>
            </thead>
            <tbody id="table-section-1">
              <tr id="table-row-2">
                <td id="table-cell-5" align="left">
                  <p>
                    <bold>
                      <p id="p-e7ec6d0f7ece">N (60)</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-6" align="left">
                  <p id="p-e3c7ad8ba7ec">22 (36.7%)</p>
                </td>
                <td id="table-cell-7" align="left">
                  <p id="p-27753881e724">38 (72.3%)</p>
                </td>
                <td id="table-cell-8" align="left">
                  <p id="paragraph-e205ddd7a744"/>
                </td>
              </tr>
              <tr id="table-row-3">
                <td id="table-cell-9" align="left">
                  <p>
                    <bold>
                      <p id="p-c61263c9f6ed">Age (year)</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-10" align="left">
                  <p id="p-5e1fd77b94de">63.0 ± 15.12</p>
                </td>
                <td id="table-cell-11" align="left">
                  <p id="p-5abe4ecfcd06">58.5 ± 13.65</p>
                </td>
                <td id="table-cell-12" align="left">
                  <p id="p-92283f7d3f77">0.239</p>
                </td>
              </tr>
              <tr id="table-row-4">
                <td id="table-cell-13" colspan="4" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-12">Gender</p>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-5">
                <td id="table-cell-14" align="left">
                  <p id="p-3b8292764196">Male</p>
                </td>
                <td id="table-cell-15" align="left">
                  <p id="p-3f1ae8853f99">2 (9%)</p>
                </td>
                <td id="table-cell-16" align="left">
                  <p id="paragraph-15">11 (28.9%)</p>
                </td>
                <td id="table-cell-17" rowspan="2" align="left">
                  <p id="p-6e5842f8f881">0.072</p>
                </td>
              </tr>
              <tr id="table-row-6">
                <td id="table-cell-18" align="left">
                  <p id="p-33090fb2c666">Female</p>
                </td>
                <td id="table-cell-19" align="left">
                  <p id="paragraph-18">20 (91%)</p>
                </td>
                <td id="table-cell-20" align="left">
                  <p id="p-ef56a8a769e4">27 (71.1%)</p>
                </td>
              </tr>
              <tr id="table-row-7">
                <td id="table-cell-21" colspan="4" align="left">
                  <p>
                    <bold>
                      <p id="p-652a557fa3d6">DM</p>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-8">
                <td id="table-cell-22" align="left">
                  <p id="paragraph-21">Yes</p>
                </td>
                <td id="table-cell-23" align="left">
                  <p id="p-45b9c6f8504b">13 (59.1%)</p>
                </td>
                <td id="table-cell-24" align="left">
                  <p id="paragraph-23">12 (31.6%)</p>
                </td>
                <td id="table-cell-25" rowspan="2" align="left">
                  <p id="paragraph-24">0.037</p>
                </td>
              </tr>
              <tr id="table-row-9">
                <td id="table-cell-26" align="left">
                  <p id="paragraph-25">No</p>
                </td>
                <td id="table-cell-27" align="left">
                  <p id="paragraph-26">9 (40.9%)</p>
                </td>
                <td id="table-cell-28" align="left">
                  <p id="paragraph-27">26 (68.4%)</p>
                </td>
              </tr>
              <tr id="table-row-10">
                <td id="table-cell-29" align="left">
                  <p>
                    <bold>
                      <p id="p-4f80854e9b03">WBC</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-30" align="left">
                  <p id="paragraph-29">21.58 ± 12.38</p>
                </td>
                <td id="table-cell-31" align="left">
                  <p id="paragraph-30">18.23 ± 9.32</p>
                </td>
                <td id="table-cell-32" align="left">
                  <p id="paragraph-31">0.24</p>
                </td>
              </tr>
              <tr id="table-row-11">
                <td id="table-cell-33" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-32">N</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-34" align="left">
                  <p id="paragraph-33">19.0 ± 10.88</p>
                </td>
                <td id="table-cell-35" align="left">
                  <p id="paragraph-34">15.35 ± 9.01</p>
                </td>
                <td id="table-cell-36" align="left">
                  <p id="paragraph-35">0.167</p>
                </td>
              </tr>
              <tr id="table-row-12">
                <td id="table-cell-37" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-36">L</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-38" align="left">
                  <p id="paragraph-37">1.06 ± 0.62</p>
                </td>
                <td id="table-cell-39" align="left">
                  <p id="paragraph-38">1.48 ± 0.83</p>
                </td>
                <td id="table-cell-40" align="left">
                  <p id="paragraph-39">0.043</p>
                </td>
              </tr>
              <tr id="table-row-13">
                <td id="table-cell-41" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-40">P</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-42" align="left">
                  <p id="paragraph-41">181.27 ± 95.08</p>
                </td>
                <td id="table-cell-43" align="left">
                  <p id="paragraph-42">302.68 ± 150.78</p>
                </td>
                <td id="table-cell-44" align="left">
                  <p id="paragraph-43">0.000</p>
                </td>
              </tr>
              <tr id="table-row-14">
                <td id="table-cell-45" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-44">NLR</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-46" align="left">
                  <p id="paragraph-45">21.01 ± 12.18</p>
                </td>
                <td id="table-cell-47" align="left">
                  <p id="paragraph-46">14.20 ± 12.89</p>
                </td>
                <td id="table-cell-48" align="left">
                  <p id="paragraph-47">0.049</p>
                </td>
              </tr>
              <tr id="table-row-15">
                <td id="table-cell-49" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-48">PLR</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-50" align="left">
                  <p id="paragraph-49">220.73 ± 149.68</p>
                </td>
                <td id="table-cell-51" align="left">
                  <p id="paragraph-50">227.25 ± 107.33</p>
                </td>
                <td id="table-cell-52" align="left">
                  <p id="paragraph-51">0.845</p>
                </td>
              </tr>
              <tr id="table-row-16">
                <td id="table-cell-53" align="left">
                  <p>
                    <bold>
                      <p id="paragraph-52">SII</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-54" align="left">
                  <p id="paragraph-53">3748.30 ± 2777.20</p>
                </td>
                <td id="table-cell-55" align="left">
                  <p id="paragraph-54">3187.13 ± 1757.97</p>
                </td>
                <td id="table-cell-56" align="left">
                  <p id="paragraph-55">0.341</p>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn-group>
              <fn id="f-586b60939684">
                <p id="p-7581bf746597"><bold id="s-f4285f368986">Abbreviations</bold>: <bold id="s-a7966978ba35">DM</bold>: diabetes mellitus, <bold id="s-c5a26d4a98d4">WBC</bold>: white blood cell count (10<sup id="s-9260b62c64c5">9</sup>/L), <bold id="s-f26e21c7f151">N</bold>: Neutrophil count (10<sup id="s-9a33b3f03c12">9</sup>/L), L: Lymphocyte count (10<sup id="s-541ab934a2d6">9</sup>/L), <bold id="s-c3aadc669300">P</bold>: Platelet count (10<sup id="s-4e3b80f2fa0d">9</sup>/L), <bold id="s-8bab210d983b">NLR</bold>: neutrophil-to-lymphocyte ratio, <bold id="s-87107ad41601">PLR</bold>: Platelet-to-lymphocyte ratio, <bold id="s-5e8f72f8ab97">SII</bold>: Systemic immune inflammation index.</p>
              </fn>
            </fn-group>
          </table-wrap-foot>
        </table-wrap>
        <p id="p-72f6da494556"/>
        <table-wrap id="tw-467b09e1c07c" orientation="portrait">
          <label>Table 2</label>
          <caption id="c-65f7cddc07e2">
            <title id="t-9b7b2c174e69">
              <bold id="s-caec8e0b0966">Odds ratios for septic shock in multivariate logistic regression analysis</bold>
            </title>
          </caption>
          <table id="t-9460c204cb6d" rules="rows">
            <colgroup/>
            <thead id="table-section-header-06b8ca6f71e8">
              <tr id="tr-9f9201355505">
                <th id="tc-68538d9395fc" align="center">
                  <p id="p-a560028ecb9d">Variables</p>
                </th>
                <th id="tc-18471c9512ec" align="center">
                  <p id="p-3664bfb74837">OR</p>
                </th>
                <th id="tc-acee85829072" align="center">
                  <p id="p-c4c9e55b719f">95% C.I</p>
                </th>
                <th id="tc-40dd236470a4" align="center">
                  <p id="p-aa1d67951b11">p</p>
                </th>
                <th id="tc-81ec6c6f2783" align="left">
                  <p id="p-adb5a3d75d54"/>
                </th>
              </tr>
            </thead>
            <tbody id="ts-d92b302acca6">
              <tr id="tr-6400f9c49ca8">
                <td id="tc-c258961cc70c" align="center">
                  <p id="p-309dd37a6c48">
                    <bold id="s-58c00bda07c1">DM</bold>
                  </p>
                  <p id="p-1730963f43c5">Positive</p>
                  <p id="p-9a8327eef9a3">Negative</p>
                </td>
                <td id="tc-3efb4fe22582" align="center">
                  <p id="p-78a9b2f5ae0d">4.773</p>
                </td>
                <td id="tc-e7912839637b" align="center">
                  <p id="p-c82dcba3ffbe">1.248 - 18.253</p>
                </td>
                <td id="tc-e0f6f90cb336" align="center">
                  <p id="p-6a6c73cd8709">0.022</p>
                </td>
              </tr>
              <tr id="tr-2cd6ef3773de">
                <td id="tc-4b68d12c2dea" align="center">
                  <p id="p-444f9713411c">
                    <bold id="s-9cc70d4db1e7">NLR</bold>
                  </p>
                  <p id="p-3df8fb9a3953">NLR ≥ 8.7</p>
                  <p id="p-ae8759fefaa9">NLR &lt; 8.7</p>
                </td>
                <td id="tc-8bdbc7dd401f" align="center">
                  <p id="p-6c93c4ca3889">12.529</p>
                </td>
                <td id="tc-8d01f993e7e5" align="center">
                  <p id="p-9c683a5ec355">1.272 - 123.426</p>
                </td>
                <td id="tc-10628f44ec04" align="center">
                  <p id="p-b66c999d55a0">0.030</p>
                </td>
              </tr>
              <tr id="tr-c6558cc837a4">
                <td id="tc-fff6c046fb88" align="center">
                  <p id="p-3f45b42e60fa">
                    <bold id="s-337957589ca8">Thrombocytopenia </bold>
                  </p>
                  <p id="p-17fcea99c0ee">Yes</p>
                  <p id="p-8b093ba3a0da">No</p>
                </td>
                <td id="tc-49e65648fe1d" align="center">
                  <p id="p-bb0be019dfee">4.375</p>
                </td>
                <td id="tc-75f86e4b1188" align="center">
                  <p id="p-790f97bd29f4">1.008 - 18.987</p>
                </td>
                <td id="tc-4ae0ce5c7afd" align="center">
                  <p id="p-2420b4c6c294">0.049</p>
                </td>
              </tr>
              <tr id="tr-60afd7a712b9">
                <td id="tc-fd271239066f" align="center">
                  <p id="p-794076a73291">
                    <bold id="s-56b2f4d470e9">Lymphopenia</bold>
                  </p>
                  <p id="p-504151377c98">Yes</p>
                  <p id="p-bf1e2d5a8b58">No</p>
                </td>
                <td id="tc-3cdaf049fa78" align="center">
                  <p id="p-aba45766117b">2.132</p>
                </td>
                <td id="tc-c9426cef779d" align="center">
                  <p id="p-0be3bf1dae71">0.541 - 8.397</p>
                </td>
                <td id="tc-a186bc8685e1" align="center">
                  <p id="p-4f567fa161a8">0.279</p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="p-e13497205d14"> </p>
      </sec>
    </sec>
    <sec>
      <title id="t-0cd86ffe9f08">Results</title>
      <p id="p-b3d087b94fb1">Among the 60 patients diagnosed with AOP (Acute obstructive pyelonephritis), 36.7% (22 patients) developed septic shock, a severe complication of AOP. These patients had a median age of 60.13 years, ranging from 21 to 103 years, with a gender distribution of 13 men to 47 women.</p>
      <p id="p-d0d0386935d2">In comparing the characteristics of patients with and without septic shock (as shown in <bold id="s-313dd18a9e45"><xref id="x-934ff422fe9d" rid="tw-aff615d254e6" ref-type="table">Table 1</xref></bold>), those in the septic shock group were found to have a higher prevalence of diabetes mellitus (59.1% versus 31.6%, p = 0.037), a lower platelet count (181.27 ± 95.08 <italic id="e-eda32c81c473">vs</italic> 302.68 ± 150.78, p &lt; 0.001), a lower lymphocyte count (1.06 ± 0.62 <italic id="e-9f73d7d61c04">vs</italic> 1.48 ± 0.83, p = 0.043), and a higher Neutrophil-to-lymphocyte ratio (NLR) (21.01 ± 12.18 <italic id="e-2aaf8b830e27">vs</italic> 14.20 ± 12.89, p = 0.049). Meanwhile, factors such as age, gender, White Blood Cell (WBC) count, Neutrophil (N) count, Platelet-to-lymphocyte ratio (PLR), and Systemic Immune-Inflammation Index (SII) showed no significant differences between the two groups.</p>
      <p id="p-5445aa153237">Thresholds for certain laboratory values were defined as thrombocytopenia (platelet count less than 150 x 10⁹/L) and lymphopenia (total lymphocyte count less than 1 x 10⁹/L). An NLR cut-off value was established at 8.7, with the Area Under the Curve (AUC) calculated to be 0.70, demonstrating a sensitivity of 95.5% and specificity of 39.5% (p = 0.012).</p>
      <p id="p-4e943f0a6043">Further analysis through Multivariate Logistic Regression (<bold id="s-ad4b13371089"><xref id="x-b32b88c85459" rid="tw-467b09e1c07c" ref-type="table">Table 2</xref></bold>) revealed that a history of diabetes mellitus, an elevated NLR equal to or greater than 8.7, and thrombocytopenia were independently associated with an increased risk of developing septic shock in the context of AOP. Specifically, patients with diabetes mellitus were around 4.8 times more likely to develop septic shock (OR = 4.773, 95% CI = 1.248-18.253, p = 0.022), those with an NLR ≥ 8.7 were about 12.5 times more likely (OR = 12.529, 95% CI = 1.272-123.426, p = 0.03), and patients with thrombocytopenia were roughly 4.4 times more likely to develop septic shock (OR = 4.375, 95% CI = 1.008-18.987, p = 0.049. Nevertheless, patients with lymphopenia were significantly less likely to progress septic shock due to AOP (OR = 2.132, 95% CI = 0.541-8.397, p = 0.279). These findings emphasize the importance of these factors in assessing the risk and managing patients with AOP to prevent the onset of septic shock.</p>
      <p id="p-907858064038"/>
    </sec>
    <sec>
      <title id="t-aaef357f16fc">Discussion</title>
      <p id="p-07a6f6cf7cb5">The urinary tract infection is the second or third most common cause of septic shock. It accounted for 6.2% to 38% of patients diagnosed with severe sepsis or septic shock<bold id="s-a311dd90ef48"><xref id="x-0a4c87c45eb7" rid="R239812931257291" ref-type="bibr">6</xref></bold>. Obstructive pyelonephritis is a complicated urinary tract infection requiring medical-surgical emergency intervention due to the possibility of serious consequences like bacteremia or uroseptic shock. Risk factors evaluated to predict the worsening development into septic shock in acute obstructive pyelonephritis (AOP) include diabetes mellitus (DM), procalcitonin, C-reactive protein, age, neutrophil count, serum creatinine level, serum albumin level, and platelet count<bold id="s-bd656f613aec"><xref rid="R239812931257287" ref-type="bibr">2</xref>, <xref rid="R239812931257291" ref-type="bibr">6</xref>, <xref rid="R239812931257293" ref-type="bibr">8</xref>, <xref rid="R239812931257294" ref-type="bibr">9</xref></bold>.</p>
      <p id="p-cbf6ae48b31a">Additionally, we discovered in this study that septic shock was more common in patients with DM than in those without, with p = 0.037. DM has always been associated with an increased risk of urinary tract infection, mostly due to glycosuria, which is exacerbated by obstruction. Furthermore, DM significantly induces peripheral neuropathy and an immunosuppressive condition, which may attenuate the host defense against urinary pathogens as well as the efficacy of the urinary apparatus’s sensory and voiding functions<bold id="s-1b2c0f82cbf4"><xref id="x-0468ff4a3b32" rid="R239812931257286" ref-type="bibr">1</xref></bold>.</p>
      <p id="p-287825589093">Upon evaluating hematological indices obtained from the peripheral blood count upon admission, we found a lower lymphocyte count, lower platelet count, and a greater NLR in the septic shock group, compared with the non-septic group. In multivariate logistic regression analysis, only higher NLR and thrombocytopenia were independent factors for uroseptic shock. Numerous investigations demonstrate a substantial correlation between severe sepsis and the reduction in platelets<bold id="s-413dece5ee32"><xref id="x-df2e8eff9354" rid="R239812931257286" ref-type="bibr">1</xref></bold>. Thrombocytopenia is an important criterion of the SOFA score, a useful tool to determine the severity of organ dysfunction in critically ill patients<bold id="s-c5a4efc243d6"><xref id="x-f3579ea7d5a4" rid="R239812931257292" ref-type="bibr">7</xref></bold>. Decreased platelet generation, hemodilution, platelet consumption, elevated platelet sequestration in microvessles, and immune-mediated platelet destruction contribute to the declined peripheral platelet count in sepsis. In the severe forms of sepsis, disseminated intravascular coagulation (DIC) is diagnosed by the widespread activation of coagulation inducing thrombotic occlusion in small and mid-sized vessels. The platelets consumption via thrombin-mediated activation in concurrent DIC, triggered by cell-specific membrane components of microorganisms, results in the subsequent depletion of platelets. Furthermore, the activated platelets can encourage the recruitment of neutrophils to the site of injury and promote the formation of neutrophil extracellular traps (NETs) to capture and eliminate pathogens<bold id="s-7d9ff1b2be2a"><xref rid="R239812931257294" ref-type="bibr">9</xref>, <xref rid="R239812931257295" ref-type="bibr">10</xref></bold>.Regarding the neutrophil-to-lymphocyte ratio (NLR), Zahorec (2001) first proposed the formula of the ratio between neutrophil and lymphocyte counts, which represents the two arms of the immune system: the innate immune response (neutrophil) and the adaptive immune response (lymphocyte)<bold id="s-2b7af6d858d6"><xref id="x-08c5d4d989ff" rid="R239812931257296" ref-type="bibr">11</xref></bold>. Since then, the Zahorec index, also known as NLR, has been the subject of much research in infectious diseases. It has been proposed as a biomarker for invasive systemic inflammatory responses in oncological diseases and other conditions<bold id="s-931e67994b13"><xref id="x-f29b00629a8c" rid="R239812931257290" ref-type="bibr">5</xref></bold>. For sepsis and a variety of infection types with different etiologies, NLR is a fairly sensitive but non-specific indication<bold id="s-c5e9ca8bca48"><xref id="x-9be9888367cd" rid="R239812931257297" ref-type="bibr">12</xref></bold>. According to Zahorec, an adult’s physiological NLR value should normally fall between 1 and 2, with values more than 3 or less than 0.7 suggesting abnormal conditions<bold id="s-23f5ea479fb8"><xref id="x-2288668b546e" rid="R239812931257290" ref-type="bibr">5</xref></bold>. This may be regarded as a novel biomarker within the panel of inflammatory responses like C-reactive protein (CRP), procalcitonin, interleukin-6, lactate, and platelet counts<bold id="s-1dbd818d4e05"><xref rid="R239812931257298" ref-type="bibr">13</xref>, <xref rid="R239812931257299" ref-type="bibr">14</xref>, <xref rid="R239812931257300" ref-type="bibr">15</xref></bold>. Ljungstrom <italic id="e-0e85ce4f0b34">et al</italic>. assessed the efficacy of several indicators in a total of 1572 adult patients for identifying bacterial sepsis. The outcomes demonstrated that NLR performed similarly to CRP and PCT. With a threshold of 3 (the upper limit of normal), NLR has a greater sensitivity for sepsis (95%) when compared to other tests. Sepsis is thus ruled out by a normal NLR (&lt; 3). On the other hand, an NLR considerably more than 10 would support a sepsis diagnosis<bold id="s-757561e21f10"><xref id="x-230cfda2b95e" rid="R239812931257298" ref-type="bibr">13</xref></bold>. De Jager <italic id="e-7ca4e80096c6">et al. </italic>found that lymphocytopenia and NLR outperformed CRP and the total count of white blood cells (WBC) for the diagnosis of bacteremia<bold id="s-6be5f5d7ba5d"><xref id="x-5eaeb4a8e851" rid="R239812931257300" ref-type="bibr">15</xref></bold>. In our study, we found the cutoff for admission NLR was 8.7 with AUC = 0.70 (Sensitivity = 95.5% and Specificity = 39.5, p = 0.012) in diagnosing septic shock due to AOP. In a univariate analysis, there were also more patients with lymphocytopenia in the septic shock group than in the non-septic shock group, while no significant difference in the total white blood cell count and neutrophil count was found. Furthermore, the fluctuation of NLR may be utilized to forecast the severity of septic shock as well as the mortality risk<bold id="s-7da6e0664be7"><xref id="x-a6fd21c5750c" rid="R239812931257297" ref-type="bibr">12</xref></bold>. A dynamic increase in NLR was associated with late death after five days<bold id="s-59dd02efd644"><xref id="x-43fd129b0da0" rid="R239812931257299" ref-type="bibr">14</xref></bold>. Monitoring of NLR levels is necessary to assess the severity of sepsis, inflammatory response, and mortality risk. Sari <italic id="e-155d1a7400c3">et al.</italic> reported that non-responders or non-survivors had a very high NLR ≥ 15 on the third day of intensive care unit (ICU) stay, with a mortality odds ratio of 6.96<bold id="s-74e72a4df63d"><xref id="x-0c30c8453281" rid="R239812931257301" ref-type="bibr">16</xref></bold>. Thus far, the three fundamental indicators are considered as the gold standard laboratory tests for monitoring sepsis and septic shock, including C-reactive protein, procalcitonin, and NLR<bold id="s-381c8d50c6da"><xref id="x-f1d357cfad5f" rid="R239812931257297" ref-type="bibr">12</xref></bold>. Although NLR emerged as a routine, informative, and cost-effective biomarker, it has high sensitivity and low specificity because it can be influenced by various factors like age, race, medicine, diabetes, obesity, mental health, cancer, anemia, and stress<bold id="s-f69f2ac20985"><xref id="x-cb82a40cf33e" rid="R239812931257290" ref-type="bibr">5</xref></bold>.</p>
      <p id="p-fcee4e0d358d">In this paper, we acknowledge some limitations, such as the small sample size, assessment only at the time of admission, and not considering the mortality risk of the patients as well as medical intervention.</p>
    </sec>
    <sec>
      <title id="t-98a328fc54d3">Conclusions</title>
      <p id="p-bf972e62f8ca">In conclusion, this study highlights the significance of the neutrophil-to-lymphocyte ratio (NLR) ≥ 8.7, thrombocytopenia, and diabetes mellitus as important predictors for the onset of septic shock in individuals with acute obstructive pyelonephritis (AOP). Our findings reinforce the utility of routine hematological parameters, easily obtainable from complete blood counts at admission, in identifying patients at heightened risk for this serious complication. Given the potential for septic shock to rapidly deteriorate patient outcomes, early recognition of these risk factors permits timely intervention and close monitoring, thereby possibly improving the management and prognosis of AOP. This study underscores the value of integrating simple hematological indices with clinical evaluation to stratify risk and optimize care for patients facing this urological emergency.</p>
    </sec>
    <sec>
      <title id="t-e92cd3e81484">Abbreviations</title>
      <p id="p-aab84299fe43"><bold id="s-60bbdc2266f1">AOP </bold>- Acute Obstructive Pyelonephritis, <bold id="s-2926615eae66">AUC</bold> - Area Under the Curve, <bold id="s-4f7c9656ab8c">CBC</bold> - Complete Blood Count,<bold id="s-350391cbc606"> C.I</bold> - Confidence Interval, <bold id="s-40a74562fdfb">CRP</bold> - C-reactive Protein, <bold id="s-b7489e0c885a">CT</bold> - Computed Tomography, <bold id="s-6016450a4674">DM</bold> - Diabetes Mellitus,<bold id="s-e1563d7fe242"> ICU </bold>- Intensive Care Unit, <bold id="s-16c32aecb188">L</bold> - Lymphocyte count, <bold id="s-56cf545df962">N</bold> - Neutrophil count, <bold id="s-75a6e16ac80b">NLR</bold> - Neutrophil-to-Lymphocyte Ratio, <bold id="s-7382eec0ecb5">OR</bold> - Odds Ratio, <bold id="s-56f73aec7cb9">P</bold> - Platelet count, <bold id="s-72213b247237">PLR</bold> - Platelet-to-Lymphocyte Ratio,<bold id="s-6c58b6bf42d1"> qSOFA</bold> - quick Sequential [Sepsis-related] Organ Failure AssessmentSII - Systemic Immune-Inflammation Index,<bold id="s-49f2eb26acd4"> SOFA</bold> - Sequential [Sepsis-related] Organ Failure Assessment, <bold id="s-9b63732c8793">WBC</bold> - White Blood Cell count</p>
    </sec>
    <sec>
      <title id="t-e9e6d99e8c2f">Acknowledgments </title>
      <p id="p-d2a14317fa10">None. </p>
    </sec>
    <sec>
      <title id="t-ec5710771e79">Author’s contributions</title>
      <p id="p-96e337d106e9">Study concept and design: Minh Hoang Truong, Trung Quang Ngo, Phong Thanh Tran; Data acquisition: Trung Quang Ngo, Quang Thanh Nguyen, Phat Thanh To</p>
    </sec>
    <sec>
      <title id="t-5805c0151c85">Funding</title>
      <p id="p-fafd010ed0f8">None.</p>
    </sec>
    <sec>
      <title id="t-578bb49aec9b">Availability of data and materials</title>
      <p id="paragraph-13">Data and materials used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
    </sec>
    <sec>
      <title id="t-e9b4f6e61069">Ethics approval and consent to participate</title>
      <p id="paragraph-16">This study’s procedures involving human subjects were carried out with the approval by the ethical standards of the People’s Hospital 115 ethics committee (1562/BVND115-NCKH). This was a retrospective cohort study, therefore, the informed consent to participate was waived by the Instituition Review Board of People’s Hospital 115.</p>
    </sec>
    <sec>
      <title id="t-3d35d8417487">Consent for publication</title>
      <p id="paragraph-19">Not applicable. </p>
    </sec>
    <sec>
      <title id="t-48b6d8c47ed7">Competing interests</title>
      <p id="paragraph-22">The authors declare that they have no competing interests.</p>
    </sec>
  </body>
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