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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJNN</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Neuroinformatics</journal-title>
      </journal-title-group>
      <issn pub-type="epub">0000-0000</issn>
      <issn pub-type="ppub">0000-0000</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">IJNN-22-4069</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Association of Serum Calcium Level with other Risk Factors of Ischaemic Stroke</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>A</surname>
            <given-names>K Al Miraj</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849377708">1</xref>
          <xref ref-type="aff" rid="idm1849368884">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Quazi</surname>
            <given-names>Deen Mohammad</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849468948">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Shahidur</surname>
            <given-names>Rahman</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849470028">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moyeenuzzaman</surname>
            <given-names/>
          </name>
          <xref ref-type="aff" rid="idm1849467436">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Shamim</surname>
            <given-names>Miah</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849467076">5</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1849377708">
        <label>1</label>
        <addr-line>Research Assistant, Department of  Vascular Surgery, BSMMU </addr-line>
      </aff>
      <aff id="idm1849468948">
        <label>2</label>
        <addr-line>Professor, Neurology &amp; Director of National Institute of Neuroscience</addr-line>
      </aff>
      <aff id="idm1849470028">
        <label>3</label>
        <addr-line>Ex. Professor, Department of Physical Medicine &amp; Rehabilitation of Bangabandhu Sheikh Mujib Medical University </addr-line>
      </aff>
      <aff id="idm1849467436">
        <label>4</label>
        <addr-line>Ex. Professor, Department of Physical Medicine &amp; Rehabilitation of Bangabandhu Sheikh Mujib Medical University</addr-line>
      </aff>
      <aff id="idm1849467076">
        <label>5</label>
        <addr-line>Data Analyst, SPRC &amp; Neurology Hospital, 135-New Eskaton Road, Dhaka -1000.</addr-line>
      </aff>
      <aff id="idm1849368884">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <author-notes>
        <corresp>Correspondence: A K Al Miraj, Department of Vascular Surgery, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh. Email: <email>drmiraj2003@yahoo.com</email></corresp>
        <fn fn-type="conflict" id="idm1843397644">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2022-02-06">
        <day>06</day>
        <month>02</month>
        <year>2022</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      <fpage>13</fpage>
      <lpage>20</lpage>
      <history>
        <date date-type="received">
          <day>16</day>
          <month>01</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>04</day>
          <month>02</month>
          <year>2022</year>
        </date>
        <date date-type="online">
          <day>06</day>
          <month>02</month>
          <year>2022</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2022</copyright-year>
        <copyright-holder>A K Al Miraj, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijnn/article/1770">This article is available from http://openaccesspub.org/ijnn/article/1770</self-uri>
      <abstract>
        <sec id="idm1849205372">
          <title>Introduction</title>
          <p>Calcium (Ca<sup>2+</sup>) plays an important role in the pathogenesis of ischemic cell damage.                 Intracellular Ca<sup>2+</sup> accumulation leads to neuronal damage by triggering the cycle of cytotoxic events, however the relationship of serum Ca levels and the pathways involved in ischemic injury is                   unclear. </p>
        </sec>
        <sec id="idm1849206092">
          <title>Aim of Study</title>
          <p>To investigate the relationship of serum Ca<sup>2+</sup> levels with severity of acute ischaemic stroke, serum calcium (Ca<sup>2+)</sup> levels were measured within the first 48 hours and were compared with the clinical                 severity of acute ischaemic stroke.</p>
        </sec>
        <sec id="idm1849205732">
          <title>Material and Methods</title>
          <p>A hospital based cross sectional study was performed among 100 patients of acute ischaemic stroke who fulfilled the inclusion criteria. The Study was done from July 2020 to August 2021 in SPRC &amp; Neurology Hospital Dhaka, Bangladesh And BSMMU Hospital Dhaka, Bangladesh. After hospitalization presenting complaints, physical findings of the               patients were recorded. Severity of stroke was             measured by NIHSS scale. Serum calcium level of   every patient was measured. Calcium level was             divided into 3 groups by weighted average. Statistical analysis was carried out by a non-parametric Ruska Wallis test.</p>
        </sec>
        <sec id="idm1849204580">
          <title>Results</title>
          <p>Among the 100 patients 59% were male. Among all patients 57% of patients were found to be smokers (98% male, 2% female). Among all patients 63% patients were found hypertensive and 21% of all patients (24% male, 17% female) were diabetic. Mean cholesterol level was 257.98mg/dl with standard deviation 55.49 which is above the reference range suggesting hypercholesterolemia, Triglyceride was borderline and LDL cholesterol was slightly higher and HDL cholesterol was slightly lower. Calcium level was divided into 3 groups and NIHSS score was calculated for every patient in each group. The               median NIHSS score for group1 (calcium level ≤8.8 mg/dl) was 9(2-20), for group 2 (calcium level 8.9-9.6 mg/dl) was 6 (1-17) and for group 3 (calcium level ≥9.7mg/dl) was               4 (1-16). </p>
        </sec>
        <sec id="idm1849203428">
          <title>Conclusion</title>
          <p>Commonest risk factor of ischaemic stroke is            hypertension. Other risk factors are smoking, diabetes mellitus and hyperlipidemia, cardiac disease. Higher            serum calcium level is associated with less severity of     ischaemic stroke.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Serum Calcium Level</kwd>
        <kwd>Acute Ischaemic Stroke</kwd>
        <kwd>Clinical Severity</kwd>
        <kwd>Risk Factor. </kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="6"/>
        <page-count count="8"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1849203716">
      <title>Background</title>
      <p>Stroke is the leading cause of disability                    worldwide, the second most common cause of dementia and the third leading cause of death<xref ref-type="bibr" rid="ridm1842705108">1</xref>. It has enormous clinical, social, and economic implications and demands a significant effort from both basic scientists and clinicians in the quest for understanding the underlying pathogenic mechanisms and thereby adopting suitable preventive measures and successful therapies, beyond thrombolysis, which is but available to &lt;5% of all patients<xref ref-type="bibr" rid="ridm1842707556">2</xref>.Owing to its high prevalence, high burden of illness and economic cost, well-defined modifiable risk factors, and effective prevention measures stroke is well suited for prevention. However, unfavorable trends in stroke risk factor profile; lack of awareness among public and medical fraternity; misapplication or underutilization of stroke preventative programs; and lack of emphasis on preventive training in medical school and postgraduate programs throughout the world, have precipitated high stroke rates and                 culminated into widening the stroke prevention                        gap<xref ref-type="bibr" rid="ridm1842781068">3</xref>.Given the immense burden that ischemic stroke exerts, the need to develop more precise estimates of a stroke severity and survivor’s prognosis remains an            important goal. Calcium (Ca<sup>2+</sup>) plays an important role in the pathogenesis of ischemic cell damage. Intracellular                  Calcium accumulation leads to neuronal damage by                 triggering the cycle of cytotoxic events. Very few attempts have been made to investigate the impact of serum Ca<sup>2+ </sup>level on clinical outcomes after ischemic stroke<xref ref-type="bibr" rid="ridm1842559212">4</xref><xref ref-type="bibr" rid="ridm1842564612">5</xref>. A recent study suggested that calcium levels obtained within 24 hours of stroke onset are associated with better                 hospital discharge clinical outcomes.<xref ref-type="bibr" rid="ridm1842564612">5</xref> This study was conducted in all units of the Neurology department and SPRC and Neurology Hospital. Serum Calcium level was measured in all patients within 48 hours of onset of                    symptoms. Clinical severity was determined according to the NIHSS scale. Data was collected from patients and their attendants and statistical analysis was done by SPSS. </p>
    </sec>
    <sec id="idm1849210124">
      <title>Objectives</title>
      <sec id="idm1849210916">
        <title>General Objective</title>
        <p>To measure the serum calcium level in acute          ischaemic stroke.</p>
      </sec>
      <sec id="idm1849210772">
        <title>Specific Objectives</title>
        <p>To find out the association of serum calcium level with clinical severity.</p>
        <p>To look for the common comorbidities associated with ischaemic stroke and their association with serum calcium.</p>
      </sec>
    </sec>
    <sec id="idm1849210412" sec-type="materials">
      <title>Materials and Methods</title>
      <p>A hospital based cross sectional study was               performed among 100 patients of acute ischaemic stroke who fulfilled the inclusion criteria. The Study was done from July 2020 to August 2021 in SPRC &amp; Neurology            Hospital Dhaka, Bangladesh And BSMMU Hospital Dhaka, Bangladesh.. After hospitalization presenting complaints, physical findings of the patients were recorded. Severity of stroke was measured by the NIHSS scale. Serum calcium level of every patient was measured. Calcium level was divided into 3 groups by weighted average. Statistical analysis was carried out by a non-parametric kruskal           wallis test.</p>
      <sec id="idm1849210340">
        <title>Inclusion Criteria</title>
        <p>1. Patients aged &gt;18years.</p>
        <p>2. Ischaemic stroke confirmed by brain imaging within 48 hours of onset of Symptoms.</p>
        <p>
          <italic>Exclusion Criteria</italic>
        </p>
        <p>1. Patient who presented 48 hours after onset of                symptoms.</p>
        <p>2. Patients who can’t give the history properly or no    attendant available to give history.</p>
        <p>3. Patients who failed to complete the investigations required for the study.</p>
        <p>4. Known patient with hypercalcemia.</p>
        <p>5. Patients who will refuse to give informed consent.</p>
        <p>6. Patients diagnosed with hemorrhagic stroke.</p>
        <p>7. Female pregnant patient.</p>
      </sec>
      <sec id="idm1849191164">
        <title>Data Collection Procedure</title>
        <p>Patients were selected according to inclusion and exclusion criteria. Detailed history was taken from               patients or their attendants. With proper consent clinical examination was done and clinical severity was measured according to NIHSS scale. After that blood was collected with all the precaution for measurement of serum calcium level. All the data were recorded in the data collection sheet.</p>
      </sec>
      <sec id="idm1849191596">
        <title>Data Processing and Analysis</title>
        <p>All the data were checked after collection. Then data entered into the computer, with the help of SPSS 17 for Windows 7 program version. An analysis plan was    developed keeping in view the objectives of the study.  Frequency distribution and normal distribution of all     continuous variables was calculated.</p>
        <p>
          <bold> </bold>
        </p>
      </sec>
      <sec id="idm1849188932">
        <title>Procedure of Blood Drawing</title>
        <p>1. The patient was lying down. Arm was extended.</p>
        <p>2. The median cubital vein of the stronger arm was       generally the vein of choice, although other veins were used when needed.</p>
        <p>3. Tourniquet was avoided</p>
        <p>4. The patient was advised to make a fist without       pumping the hand. </p>
        <p>5. Venipuncture site was selected and cleansed with    antiseptic in a circular fashion, beginning at the site and working outward and allowed to air dry. </p>
        <p>6. Needle was inserted swiftly, but gently through the skin and into the lumen of the vein. </p>
        <p>7. Using the plunger 5 mL of whole blood was                withdrawn.</p>
        <p>8. Blood is then transferred to the appropriate tube or vial for the test.</p>
        <p>9. Needle from the patient’s arm was removed using a swift backward motion. </p>
        <p>10. Adequate pressure was applied to avoid formation of hematoma. </p>
        <p>11. Specimens were promptly delivered to the laboratory or processing area. </p>
      </sec>
    </sec>
    <sec id="idm1849189940" sec-type="results">
      <title>Results</title>
      <p>Among the 100 patients 59% were male. Among all patients 57% of patients were found to be smokers (98% male, 2% female). Among all patients 63% patients were found hypertensive and 21% of all patients (24% male, 17% female) were diabetic. Mean cholesterol level was 257.98mg/dl with standard deviation 55.49 which is above the reference range suggesting hypercholesterolemia, Triglyceride was borderline and LDL cholesterol was slightly higher and HDL cholesterol was slightly lower.</p>
      <p><xref ref-type="fig" rid="idm1843022156">Figure 1</xref> shows gender of patients, a total of 59% of the patients were Male and the rest 41% were female.</p>
      <fig id="idm1843022156">
        <label>Figure 1.</label>
        <caption>
          <title> Distribution of sex among ischaemic stroke patients.</title>
        </caption>
        <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
      </fig>
      <p><xref ref-type="fig" rid="idm1843021436">Figure 2</xref> shows 63% patients were hypertensive (known and newly diagnosed). </p>
      <fig id="idm1843021436">
        <label>Figure 2.</label>
        <caption>
          <title> Association of hypertension in the study population.</title>
        </caption>
        <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
      </fig>
      <p><xref ref-type="table" rid="idm1843020500">Table 1</xref> Showed the occupational status of the patients. Large numbers of respondents were                            businessmen (21%) followed by service holders (14%). A considerable portion of the respondents (13%) were              retired from their jobs. Most of the female patients were housewives (39%).</p>
      <table-wrap id="idm1843020500">
        <label>Table 1.</label>
        <caption>
          <title> Occupational status of the patients.</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Occupation</td>
              <td>Frequency</td>
              <td>Percent</td>
            </tr>
            <tr>
              <td>Business</td>
              <td>21</td>
              <td>21</td>
            </tr>
            <tr>
              <td>Service Holder</td>
              <td>14</td>
              <td>14</td>
            </tr>
            <tr>
              <td>Retired/Aged person</td>
              <td>13</td>
              <td>13</td>
            </tr>
            <tr>
              <td>Farmer</td>
              <td>5</td>
              <td>5</td>
            </tr>
            <tr>
              <td>Daily worker</td>
              <td>4</td>
              <td>4</td>
            </tr>
            <tr>
              <td>Teacher</td>
              <td>2</td>
              <td>2</td>
            </tr>
            <tr>
              <td>Housewife</td>
              <td>39</td>
              <td>39</td>
            </tr>
            <tr>
              <td>total</td>
              <td>100</td>
              <td>100</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><xref ref-type="table" rid="idm1842988412">Table 2</xref> showing the association of smoking in ischaemic stroke, among 59 male patients 56 patients (95%) were smokers. But among 41 female patients only 1 patient (2.43%) was found to be a smoker which is 2.43% of total females. Overall 57% of patients were smokers.</p>
      <table-wrap id="idm1842988412">
        <label>Table 2.</label>
        <caption>
          <title> Association of smoking with ischaemic stroke.</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td> Smoking</td>
              <td colspan="4">Sex</td>
              <td colspan="2"> Total</td>
            </tr>
            <tr>
              <td/>
              <td colspan="2">Male (59)</td>
              <td colspan="2">Female (41)</td>
              <td colspan="2"/>
            </tr>
            <tr>
              <td/>
              <td>n</td>
              <td>%</td>
              <td>n</td>
              <td>%</td>
              <td>n</td>
              <td>%</td>
            </tr>
            <tr>
              <td>Positive</td>
              <td>56</td>
              <td>95%</td>
              <td>1</td>
              <td>2.43%</td>
              <td>57</td>
              <td>57%</td>
            </tr>
            <tr>
              <td>Negative</td>
              <td>3</td>
              <td>5%</td>
              <td>40</td>
              <td>97.57%</td>
              <td>43</td>
              <td>43%</td>
            </tr>
            <tr>
              <td>Total</td>
              <td>59</td>
              <td>100%</td>
              <td>41</td>
              <td>100%</td>
              <td>100</td>
              <td>100%</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><xref ref-type="table" rid="idm1842964164">Table 3</xref> showing the results of Lipid profiles. It showed that the total cholesterol level was much higher than normal. It also showed that LDL cholesterol was high and Triglyceride was borderline.</p>
      <table-wrap id="idm1842964164">
        <label>Table 3.</label>
        <caption>
          <title> Lipid profile of ischaemic stroke patient.</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Smoking</td>
              <td colspan="4">Sex</td>
              <td colspan="2">Total</td>
            </tr>
            <tr>
              <td/>
              <td colspan="2">Male (59)</td>
              <td colspan="2">Female (41)</td>
              <td colspan="2"/>
            </tr>
            <tr>
              <td/>
              <td>n</td>
              <td>%</td>
              <td>n</td>
              <td>%</td>
              <td>n</td>
              <td>%</td>
            </tr>
            <tr>
              <td>Positive</td>
              <td>56</td>
              <td>95%</td>
              <td>1</td>
              <td>2.43%</td>
              <td>57</td>
              <td>57%</td>
            </tr>
            <tr>
              <td>Negative</td>
              <td>3</td>
              <td>5%</td>
              <td>40</td>
              <td>97.57%</td>
              <td>43</td>
              <td>43%</td>
            </tr>
            <tr>
              <td>Total</td>
              <td>59</td>
              <td>100%</td>
              <td>41</td>
              <td>100%</td>
              <td>100</td>
              <td>100%</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><xref ref-type="table" rid="idm1842915820">Table 4</xref> showed distribution of Diabetes Mellitus in the study population. About 24% of all male stroke              patients were diabetic from DM whereas 17% of the            female patients were diabetic. </p>
      <table-wrap id="idm1842915820">
        <label>Table 4.</label>
        <caption>
          <title> Distribution of diabetes mellitus in the studied patients.</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Diabetes Mellitus</td>
              <td colspan="4">Sex</td>
              <td colspan="2">Total</td>
            </tr>
            <tr>
              <td/>
              <td colspan="2">male</td>
              <td colspan="2">Female</td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td>n</td>
              <td>%</td>
              <td>n</td>
              <td>%</td>
              <td>n</td>
              <td>%</td>
            </tr>
            <tr>
              <td>Positive</td>
              <td>14</td>
              <td>23.73</td>
              <td>7</td>
              <td>17.07</td>
              <td>21</td>
              <td>21</td>
            </tr>
            <tr>
              <td>Negative</td>
              <td>45</td>
              <td>76.27</td>
              <td>34</td>
              <td>82.93</td>
              <td>79</td>
              <td>79</td>
            </tr>
            <tr>
              <td>Total</td>
              <td>59</td>
              <td>100</td>
              <td>41</td>
              <td>100</td>
              <td>100</td>
              <td>100</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><xref ref-type="table" rid="idm1842893932">Table 5</xref> showing Relationship of serum calcium level with severity of acute ischaemic stroke as assessed by NIHSS score showed 31% patients with median score of 9 with calcium level below 8.8, 37% patients in 8.9-9.6 serum calcium  level with median score of 6 and 32%         patients having calcium level above 9.6 had median NIHSS score 4. Comparison was done between groups by non parametric method (kruskal wallis test). P value was       below .05 which is statistically significant. </p>
      <table-wrap id="idm1842893932">
        <label>Table 5.</label>
        <caption>
          <title> Serum calcium in ischaemic stroke patients.</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Group</td>
              <td>n(100)</td>
              <td>Serum Calcium</td>
              <td>NIHSS score</td>
              <td>Significance</td>
            </tr>
            <tr>
              <td>I</td>
              <td>31</td>
              <td>≤8.8</td>
              <td>9(2-20)</td>
              <td> &lt;.05</td>
            </tr>
            <tr>
              <td>II</td>
              <td>37</td>
              <td>8.9-9.6</td>
              <td>6(1-17)</td>
              <td/>
            </tr>
            <tr>
              <td>III</td>
              <td>32</td>
              <td>≥9.7</td>
              <td>4(1-16)</td>
              <td/>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><xref ref-type="table" rid="idm1842828836">Table 6</xref> showing association of serum calcium levels with common risk factors of stroke. In group I 18 patients were hypertensive, in group II and III it was 27 and 18 respectively. In case of Diabetes Melitus the results in group I, II&amp;III were 6,10&amp;5 respectively whereas in case of atrial fibrillation results were 5,9 and 6 in group I,II&amp;III respectively. Results were compared by Pierson                        chi-square test and found to be insignificant in all cases.</p>
      <table-wrap id="idm1842828836">
        <label>Table 6.</label>
        <caption>
          <title> Association of serum calcium level with other risk factors of ischaemic stroke</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td> </td>
              <td>Group I (n=31)Ca ≤8.8</td>
              <td>GroupII (n=37)Ca 8.9-9.6</td>
              <td>Group III (n=32)Ca ≥9.6</td>
              <td> Significance</td>
            </tr>
            <tr>
              <td>Hypertension</td>
              <td>18 (58%)</td>
              <td>27 (73%)</td>
              <td>18 (56%)</td>
              <td>&gt;.05</td>
            </tr>
            <tr>
              <td>Diabetes Melitus</td>
              <td>6 (19.35%)</td>
              <td>10 (27.2%)</td>
              <td>5 (15.6%)</td>
              <td>&gt;.05</td>
            </tr>
            <tr>
              <td>Atrial fibrillation</td>
              <td>5 (16.1%)</td>
              <td>9 (24.32%)</td>
              <td>6 (18.75%)</td>
              <td>&gt;.05</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="idm1849065444" sec-type="discussion">
      <title>Discussion</title>
      <p>A study on 100 acute stroke patients was          undertaken to see the serum calcium level in acute            ischaemic stroke and its association with clinical severity in medicine in the patient department of Dhaka Medical College Hospital from June 2013 to December 2013. 100 patients were enrolled in the study through a non             probability sampling technique. Fifty nine percent of the patients were male and the rest were female. <xref ref-type="table" rid="idm1843020500">Table 1</xref> showed mean age of the patients. The mean age of the     patients was 62.3 years with a SD of 9.078 years. Patients from the age group 51-60 years formed the main bulk    followed by 61-70 years group (36% and 33%                     respectively). These findings were consistent with the fact that the incidence of stroke increases rapidly with age.<xref ref-type="bibr" rid="ridm1842553692">6</xref> In this study (<xref ref-type="table" rid="idm1842988412">table 2</xref>) it was found that 57% patients were smoker which is consistent with other study.<xref ref-type="bibr" rid="ridm1842548508">7</xref> This study also shows that most of the smokers (95%) are male and small fraction (2.43%) which may be due to the fact that female population in our country smokes less or they hide their smoking history.Lipid profile done in this study showed that that the Cholesterol level was much higher than normal value, Triglyceride was borderline, LDL was higher and HDL was slightly below normal (<xref ref-type="table" rid="idm1842964164">Table 3</xref>).        These findings are consistent with studies done                  elsewhere.<xref ref-type="bibr" rid="ridm1842544580">8</xref> In this study 63% the patients were found to be hypertensive (known and newly diagnosed) which matches with study in other parts of the world<xref ref-type="bibr" rid="ridm1842539828">9</xref> and in our country.<xref ref-type="bibr" rid="ridm1842530988">10</xref> The study revealed that about 21% of all stroke patients (24% male, 17% female) were suffering from DM whereas (<xref ref-type="table" rid="idm1842915820">Table 4</xref>).This is consistent with the fact that between 15% and 33% of ischemic stroke patients have diabetes mellitus.<xref ref-type="bibr" rid="ridm1842529116">11</xref> this is also consistent with other other studies done elsewhere<xref ref-type="bibr" rid="ridm1842522132">12</xref><xref ref-type="bibr" rid="ridm1842519972">13</xref>. Though there is not much study in our country, these findings are in line with a study in our country. <xref ref-type="bibr" rid="ridm1842496684">14</xref> The primary goal of this study was to assess serum calcium with severity of acute ischaemic stroke. In this study the highest serum calcium was 10.4 and lowest was 8.1. Calcium levels were divided into three groups by using weighted average. Severity of ischaemic stroke was assessed clinically by NIHSS score (<xref ref-type="table" rid="idm1842893932">Table 5</xref>). The patients were divided into three groups according to serum total Ca levels. Patients with                    Ca ≤ 8.8mg/dl were included in group I, Ca levels between 8.9 and 9.6 mg/dl were included in group II, and Ca ≥ 9.7 mg/dl were included in group III. NIHSS scores on                 admission were higher in group I (median 9) than group II (median 6) and group III (median 4) (p &lt; 0.05), and they were found to be higher in group 2 than group 3 (p&lt;.05). These results are consistent with a similar study done by gueven et al. in 2011. This study results are also found to be consistent with a study done by Brian H. Buck, MD et al. in 2007.Though there are several biomarkers for acute ischaemic stroke there are only few markers for severity of stroke like CRP<xref ref-type="bibr" rid="ridm1842495964">15</xref>, early CT scan changes, serum                  S-100. The association of serum calcium and severity of acute ischaemic stroke could not be analyzed along with these factors.Common risk factors found to be associated with ischaemic stroke were smoking, diabetes mellitus, hypertension, hyperlipidemia and atrial fibrillation. There were several studies regarding the association of serum calcium level with hypertension. These studies yield            different results. In this study (<xref ref-type="table" rid="idm1842828836">Table 6</xref>) in group I 18           patients were hypertensive, in group II and III it was 27 and 18 respectively. These results are neither significant nor consistent with other studies done previously. In case of Diabetes Mellitus the results in group I,II&amp;III were 6,10&amp;5 respectively whereas in case of atrial fibrillation results were 5,9 and 6 in group I,II&amp;III respectively. These results were not also significant.</p>
    </sec>
    <sec id="idm1849063644" sec-type="conclusions">
      <title>Conclusion</title>
      <p>In this study 100 patients with acute ischaemic stroke were included. Majority patients were aged and male. Hypertension was found to be the commonest comorbidities. A significant number of patients were           diabetic and hyperlipidemic. It was found that higher             serum calcium level was related with less clinical severity. But there was no relationship of serum calcium level with other common risk factors of ischaemic stroke.</p>
    </sec>
    <sec id="idm1849062276">
      <title>Limitation of the Study</title>
      <p>1. Small sample size</p>
      <p>2. This study did not use univariate or multivariate           analysis. So it was not able to prove any association between serum calcium level and severity of                    ischaemic stroke.</p>
    </sec>
    <sec id="idm1849063788">
      <title>Recommendations</title>
      <p>Calcium may be used as a prognosticator of            ischaemic stroke and potential therapeutic agent to             reduce severity of ischaemic stroke. But exact                           recommendations about these facts can be given only after large scale study and trials.Multicentre trials with large samples can be done in future to have a consolidated           result about these findings.</p>
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