<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1107042</article-id><article-id pub-id-type="publisher-id">OALibJ-106354</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Correlation Analysis of Four Blood Coagulation Items with Blood Lipids and Blood Glucose in Stroke Patients with Type 2 Diabetes
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yue</surname><given-names>Wang</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>Xue</surname><given-names>Liang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Institute of Integrated Chinese and Western Medicine, Basic Medical College of Qingdao University, Qingdao, China</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>12</month><year>2020</year></pub-date><volume>07</volume><issue>12</issue><fpage>1</fpage><lpage>5</lpage><history><date date-type="received"><day>26,</day>	<month>November</month>	<year>2020</year></date><date date-type="rev-recd"><day>28,</day>	<month>December</month>	<year>2020</year>	</date><date date-type="accepted"><day>31,</day>	<month>December</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  
    Objective: To investigate the relationship between the four blood coagulation items and blood glucose and blood lipids in stroke patients with type 2 diabetes. Methods: According to whether they had type 2 diabetes, 134 stroke patients were divided into the observation group (n = 62) with stroke and type 2 diabetes and the control group without type 2 diabetes (n = 72), and the blood coagulation of each group was compared. Results: There was no significant difference in the four coagulation items between the two groups of patients, and hyperglycemia did not seem to have a significant effect on this. Conclusion: The coagulation changes in stroke patients may be greatly affected by the acute onset of stroke, and the impact of type 2 diabetes may be chronic and insignificant. 
  
 
</p></abstract><kwd-group><kwd>Stroke</kwd><kwd> Type 2 Diabetes</kwd><kwd> Coagulation</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Ischemic stroke is a disease that forms thrombosis and causes embolism. The imbalance of the blood coagulation system and the fibrinolytic system is one of the main causes of thrombosis. The four indicators of coagulation as important indicators for judging the changes in the body’s hemostasis system have received extensive clinical attention. Previous studies have shown that hyperglycemia is related to coagulation disorders [<xref ref-type="bibr" rid="scirp.106354-ref1">1</xref>], and patients with type 2 diabetes have vascular endothelial damage, which causes platelet activation and the hypercoagulable state of the blood [<xref ref-type="bibr" rid="scirp.106354-ref2">2</xref>]. Therefore, in order to prevent further complications after stroke and type 2 diabetes, improve the quality of life of patients, and understand the blood coagulation status of stroke patients with type 2 diabetes, this study measures stroke. The levels of blood glucose, blood lipids and blood coagulation in patients with type 2 diabetes were observed to observe the changes of the 4 items of blood coagulation, and the clinical significance of the changes of the 4 items of blood coagulation in patients with increased blood sugar levels.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Clinical Data</title><p>Collect 134 stroke patients diagnosed and treated in the Affiliated Hospital of Qingdao University from 2018 to 2019. According to whether stroke patients have type 2 diabetes, they are divided into an observation group with type 2 diabetes (n = 62) and a control group without type 2 diabetes (n = 72), there was no difference in age between the two groups (65.88 &#177; 10.17 vs. 64.97 &#177; 8.61).</p></sec><sec id="s2_2"><title>2.2. Method</title><p>Inclusion criteria: 1) Patients meeting the diagnostic criteria for stroke; 2) Patients meeting the diagnostic criteria for type 2 diabetes</p><p>Exclusion criteria: 1) stroke patients with other diseases.</p><p>Laboratory testing: The subjects of each group were admitted to the hospital in the early morning on an empty stomach to collect peripheral venous blood. The laboratory of our hospital performed laboratory tests. The automatic biochemical analyzer (Hitachi-7600, Japan) measured four blood coagulation items in the two groups: coagulation Proenzyme time (PT), thromboplastin time (APTT), fibrinogen (FIB), thrombin time (TT), blood glucose (GLU), low density lipoprotein cholesterol (LDL), high density lipoprotein cholesterol (HDL), triglycerides (TG), cholesterol (CHOL).</p></sec><sec id="s2_3"><title>2.3. Statistical Processing</title><p>SPSS21.0 statistical software was used for data processing. The comparison of means between groups was performed by t-test or rank-sum test. The correlation analysis was performed by preseason correlation analysis. P &lt; 0.05 was considered statistically significant.</p></sec></sec><sec id="s3"><title>3. Result</title><p>Comparing the four items of basic blood glucose, blood lipids and coagulation between the two groups of patients, only the blood glucose was significantly different (t = 6.17, P &lt; 0.001), and there were no significant differences in other indicators (See <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Correlation analysis, only PT is correlated with LDL (r = 0.29, P = 0.001) and CHOL(r = 0.23, P = 0.009) (See <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison of blood glucose and blood lipids between the two groups (mmol/L)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >GLU</th><th align="center" valign="middle" >LDL</th><th align="center" valign="middle" >HDL</th><th align="center" valign="middle" >TG</th><th align="center" valign="middle" >CHOL</th></tr></thead><tr><td align="center" valign="middle" >Observation group</td><td align="center" valign="middle" >7.27 &#177; 2.67</td><td align="center" valign="middle" >0.92 &#177; 0.09</td><td align="center" valign="middle" >1.23 (0.36)</td><td align="center" valign="middle" >3.25 (3.04)</td><td align="center" valign="middle" >1.11 (0.26)</td></tr><tr><td align="center" valign="middle" >Control group</td><td align="center" valign="middle" >5.14 &#177; 1.13</td><td align="center" valign="middle" >0.94 &#177; 0.13</td><td align="center" valign="middle" >1.20 (0.54)</td><td align="center" valign="middle" >3.32 (1.92)</td><td align="center" valign="middle" >1.13 (0.59)</td></tr><tr><td align="center" valign="middle" >t or z</td><td align="center" valign="middle" >6.17</td><td align="center" valign="middle" >−0.21</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >−0.02</td><td align="center" valign="middle" >−0.52</td></tr><tr><td align="center" valign="middle" >P</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.83</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >0.60</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of four coagulation items between the two groups</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >PT (s)</th><th align="center" valign="middle" >APTT (s)</th><th align="center" valign="middle" >FIB (g/L)</th><th align="center" valign="middle" >TT (s)</th></tr></thead><tr><td align="center" valign="middle" >Observation group</td><td align="center" valign="middle" >0.92 &#177; 0.09</td><td align="center" valign="middle" >1.23 (0.36)</td><td align="center" valign="middle" >3.25 (3.04)</td><td align="center" valign="middle" >1.11 (0.26)</td></tr><tr><td align="center" valign="middle" >Control group</td><td align="center" valign="middle" >0.94 &#177; 0.13</td><td align="center" valign="middle" >1.20 (0.54)</td><td align="center" valign="middle" >3.32 (1.92)</td><td align="center" valign="middle" >1.13 (0.59)</td></tr><tr><td align="center" valign="middle" >t or z</td><td align="center" valign="middle" >−0.54</td><td align="center" valign="middle" >−0.13</td><td align="center" valign="middle" >−0.02</td><td align="center" valign="middle" >−0.37</td></tr><tr><td align="center" valign="middle" >P</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.90</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >0.71</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlation analysis of four blood coagulation items with blood sugar and blood lipids</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >PT</th><th align="center" valign="middle" >APTT</th><th align="center" valign="middle" >FIB</th><th align="center" valign="middle" >TT</th></tr></thead><tr><td align="center" valign="middle" >GLU</td><td align="center" valign="middle" >−0.20</td><td align="center" valign="middle" >−0.06</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >LDL</td><td align="center" valign="middle" >0.29<sup>*</sup></td><td align="center" valign="middle" >−0.08</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >−0.04</td></tr><tr><td align="center" valign="middle" >HDL</td><td align="center" valign="middle" >−0.18</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.07</td></tr><tr><td align="center" valign="middle" >TG</td><td align="center" valign="middle" >−0.10</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >−0.01</td></tr><tr><td align="center" valign="middle" >CHOL</td><td align="center" valign="middle" >0.23*</td><td align="center" valign="middle" >−0.04</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >−0.01</td></tr></tbody></table></table-wrap><p>*P &lt; 0.05.</p></sec><sec id="s4"><title>4. Conclusion</title><p>A study of elderly patients with type 2 diabetes showed that PT and APTT were shorter than those in the healthy control group, and the PT and APTT of the complication group were lower than those of the non-complication group [<xref ref-type="bibr" rid="scirp.106354-ref3">3</xref>]. Lin et al. [<xref ref-type="bibr" rid="scirp.106354-ref4">4</xref>] ’s study on patients with type 2 diabetes also showed that PT and APTT of type 2 diabetes patients with or without vascular complications decreased significantly, and the coagulation indexes PT, APTT, and TT of the group with vascular disease were significantly lower than those in the group without vascular disease. And the level of FIB increased significantly. Studies have shown that lipid metabolism disorders are an important reason for the increase. Abnormal glucose and lipid metabolism can easily damage endothelial cells and activate internal and exogenous blood coagulation pathways, leading to a significant increase in fibrinogen levels, and the increased fibrinogen makes blood sticky. Sex increases, blood flow slows down, making blood appear hypercoagulable state [<xref ref-type="bibr" rid="scirp.106354-ref5">5</xref>]. However, in this study, the four indexes of prothrombin were not significantly different between the two groups of patients. Only PT was related to blood lipids, which may be related to the stroke disease itself. Chen et al. [<xref ref-type="bibr" rid="scirp.106354-ref6">6</xref>] showed that cerebral hemorrhage can affect blood glucose, the number of white blood cells and fibrinolysis to a certain extent, while platelets and related indicators have no significant changes, indicating that elevated blood glucose in the acute phase will lead to poor prognosis. The study found that the plasma thrombin cleavage fibrinopeptide A of the patients who were studied immediately after the stroke increased significantly, the plasma concentration of the platelet release product β-hemoglobin increased slightly, and immediately increased after the stroke, and these did not occur after the infarction. Over time, it was concluded that the activity of thrombin and plasmin in plasma increased after thrombotic stroke [<xref ref-type="bibr" rid="scirp.106354-ref7">7</xref>]. Although there is evidence that increased fibrinogen concentration is associated with an increased risk of stroke, the role of abnormalities in the coagulation and fibrinolytic system in these processes has not been correctly assessed on clinical results. Smaller studies have found elevated FVIII/vWF associated with acute stroke and elevated tissue plasminogen activator levels. Although factor VII is considered a risk factor for coronary artery disease, little is known about its role in the development of cerebrovascular disease [<xref ref-type="bibr" rid="scirp.106354-ref8">8</xref>]. Gentile et al. [<xref ref-type="bibr" rid="scirp.106354-ref9">9</xref>] showed that the changes in blood coagulation after acute ischemic stroke in patients with diabetes and hyperglycemia, compared with non-diabetic patients, acute ischemic stroke patients with diabetes and hyperglycemia have stronger procoagulant status. Diabetic cerebral infarction does have more serious coagulation dysfunction [<xref ref-type="bibr" rid="scirp.106354-ref10">10</xref>]. Our study did not show that the four items of prothrombin between the two groups of patients were different, nor did it show that blood sugar had an effect on this. This may be that the acute effect of stroke is more than the chronic effect of diabetes, and the mechanism needs to be further developed in the study.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Wang, Y. and Liang, X. (2020) Correlation Analysis of Four Blood Coagulation Items with Blood Lipids and Blood Glucose in Stroke Patients with Type 2 Diabetes. Open Access Library Journal, 7: e7042. https://doi.org/10.4236/oalib.1107042</p></sec></body><back><ref-list><title>References</title><ref id="scirp.106354-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hu, X.L. and Wang, Z.K. (2009) Correlation Analysis on Blood Glucose, Renal Function and Blood Gas Related Markors in Severe Trauma Patients. 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