<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT03009669</url>
  </required_header>
  <id_info>
    <org_study_id>H20160049（01）</org_study_id>
    <nct_id>NCT03009669</nct_id>
  </id_info>
  <brief_title>The Application of Pleth Variability Index in Continuous Monitoring the Volume Status of Intraoperative Patients</brief_title>
  <official_title>The Application of Pleth Variability Index in Continuous Monitoring Volume Status in Patients Undergoing Intestinal Tumor Surgery</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>First Affiliated Hospital, Sun Yat-Sen University</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>Guangzhou Panyu Central Hospital</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>First Affiliated Hospital, Sun Yat-Sen University</source>
  <oversight_info>
    <has_dmc>Yes</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      To assess the value of using pleth variability index(PVI) to monitor the patient's&#xD;
      intra-operative volume status continuously by observing the application of stroke volume&#xD;
      variation(SVV) and PVI and their correlation in patients undergoing intestinal tumor&#xD;
      surgeries.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      Objective: To assess the value of using PVI to monitor the patient's intra-operative volume&#xD;
      status continuously by observing the application of stroke volume variation(SVV) and pleth&#xD;
      variability index(PVI) and their correlation in patients undergoing intestinal tumor&#xD;
      surgeries.&#xD;
&#xD;
      Methods: 50 patients undergoing elective intestinal tumor surgery were enrolled, ASAⅠ-Ⅲ, aged&#xD;
      18-65 years. After the induction of general anesthesia, cardiac index(CI), cardiac&#xD;
      output(CO), stroke volume variability(SVV), stroke volume index(SVI) were monitored with&#xD;
      Vigileo system, while pleth variability index(PVI) and perfusion index(PI) were monitored&#xD;
      with Massion Radical 7 system. During the surgery, goal directed fluid therapy was conducted&#xD;
      according to the data of CI、SVI and SVV. Heart rate(HR), mean arterial pressure(MAP), central&#xD;
      venous pressure(CVP), CO, CI, SVI, SVV, PI, PVI were recorded while after the induction of&#xD;
      anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and&#xD;
      closing the abdominal incision(T4). And we calculate the correlation of SVV and PVI using&#xD;
      Pearson Correlation Analysis at different time points.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Unknown status</overall_status>
  <last_known_status>Active, not recruiting</last_known_status>
  <start_date>December 2016</start_date>
  <completion_date type="Anticipated">September 2017</completion_date>
  <primary_completion_date type="Anticipated">July 2017</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Case-Only</observational_model>
    <time_perspective>Prospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>the correlation of SVV and PVI</measure>
    <time_frame>during the surgery</time_frame>
    <description>SVV and PVI were recorded while after the induction of anesthesia(T1),making surgical incision(T2),performing intestinal anastomosis(T3) and closing the abdominal incision(T4). We calculate the correlation of SVV and PVI using Pearson Correlation Analysis at different time points.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>stroke volume variability(SVV)</measure>
    <time_frame>during the surgery</time_frame>
    <description>stroke volume variability(SVV) in percentage.Record the date of SVV while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of SVV between the time points.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>pleth variability index(PVI)</measure>
    <time_frame>during the surgery</time_frame>
    <description>pleth variability index(PVI) in percentage.Record the date of PVI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of PVI between the time points.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>pleth index(PI)</measure>
    <time_frame>during the surgery</time_frame>
    <description>pleth index(PI) in percentage.Record the date of PI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of PI between the time points.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>cardiac index(CI)</measure>
    <time_frame>during the surgery</time_frame>
    <description>cardiac index(CI) in L•min-1•m-2.Record the date of CI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of CI between the time points.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>stroke volume index(SVI)</measure>
    <time_frame>during the surgery</time_frame>
    <description>(SVI) in ml•m-2.Record the date of SVI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of SVI between the time points.</description>
  </secondary_outcome>
  <enrollment type="Anticipated">50</enrollment>
  <condition>Hemodynamic Monitoring</condition>
  <eligibility>
    <study_pop>
      <textblock>
        50 patients undergoing elective intestinal tumor surgery were enrolled, ASAⅠ-Ⅲ,aged 18-65&#xD;
        years,BMI 18~30kg/㎡.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  patients undergoing elective intestinal tumor surgery&#xD;
&#xD;
          -  American Society of Anesthesiologists (ASA) physical status of grade I-Ⅲ&#xD;
&#xD;
          -  Aged 18-65 years&#xD;
&#xD;
          -  BMI 18~30kg/㎡&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Patients under 18 years or above 65 years&#xD;
&#xD;
          -  patients with severe aortic regurgitation&#xD;
&#xD;
          -  patients with permanent cardiac arrhythmias&#xD;
&#xD;
          -  patients with intra-aortic balloon pump&#xD;
&#xD;
          -  patients with severe pulmonary disease&#xD;
&#xD;
          -  patients undergoing emergency surgery&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>65 Years</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Shu HaiHua, doctor</last_name>
    <role>Study Chair</role>
    <affiliation>First Affiliated Hospital, Sun Yat-Sen University</affiliation>
  </overall_official>
  <results_reference>
    <citation>Brandstrup B. Fluid therapy for the surgical patient. Best Pract Res Clin Anaesthesiol. 2006 Jun;20(2):265-83. doi: 10.1016/j.bpa.2005.10.007.</citation>
    <PMID>16850777</PMID>
  </results_reference>
  <results_reference>
    <citation>Grocott MPW, Mythen MG, Gan TJ. Perioperative fluid management and clinical outcomes in adults. Anesth Analg. 2005 Apr;100(4):1093-1106. doi: 10.1213/01.ANE.0000148691.33690.AC.</citation>
    <PMID>15781528</PMID>
  </results_reference>
  <results_reference>
    <citation>Nisanevich V, Felsenstein I, Almogy G, Weissman C, Einav S, Matot I. Effect of intraoperative fluid management on outcome after intraabdominal surgery. Anesthesiology. 2005 Jul;103(1):25-32. doi: 10.1097/00000542-200507000-00008.</citation>
    <PMID>15983453</PMID>
  </results_reference>
  <results_reference>
    <citation>Strunden MS, Heckel K, Goetz AE, Reuter DA. Perioperative fluid and volume management: physiological basis, tools and strategies. Ann Intensive Care. 2011 Mar 21;1(1):2. doi: 10.1186/2110-5820-1-2.</citation>
    <PMID>21906324</PMID>
  </results_reference>
  <results_reference>
    <citation>Samra T, Arya VK. Comparison of cardiac output estimation by FloTrac/Vigileo TM and intermittent pulmonary artery thermodilution in patient with Takayasu arteritis. Ann Card Anaesth. 2011 May-Aug;14(2):163-4. doi: 10.4103/0971-9784.81579. No abstract available.</citation>
    <PMID>21636945</PMID>
  </results_reference>
  <results_reference>
    <citation>Cannesson M. Arterial pressure variation and goal-directed fluid therapy. J Cardiothorac Vasc Anesth. 2010 Jun;24(3):487-97. doi: 10.1053/j.jvca.2009.10.008. No abstract available.</citation>
    <PMID>20022261</PMID>
  </results_reference>
  <results_reference>
    <citation>Mathews L, Singh RK. Cardiac output monitoring. Ann Card Anaesth. 2008 Jan-Jun;11(1):56-68. doi: 10.4103/0971-9784.38455.</citation>
    <PMID>18182765</PMID>
  </results_reference>
  <results_reference>
    <citation>Cannesson M, Attof Y, Rosamel P, Joseph P, Bastien O, Lehot JJ. Comparison of FloTrac cardiac output monitoring system in patients undergoing coronary artery bypass grafting with pulmonary artery cardiac output measurements. Eur J Anaesthesiol. 2007 Oct;24(10):832-9. doi: 10.1017/S0265021507001056. Epub 2007 Aug 1.</citation>
    <PMID>17666154</PMID>
  </results_reference>
  <results_reference>
    <citation>Rex S, Brose S, Metzelder S, Huneke R, Schalte G, Autschbach R, Rossaint R, Buhre W. Prediction of fluid responsiveness in patients during cardiac surgery. Br J Anaesth. 2004 Dec;93(6):782-8. doi: 10.1093/bja/aeh280. Epub 2004 Oct 1.</citation>
    <PMID>15465840</PMID>
  </results_reference>
  <results_reference>
    <citation>Michard F, Alaya S, Zarka V, Bahloul M, Richard C, Teboul JL. Global end-diastolic volume as an indicator of cardiac preload in patients with septic shock. Chest. 2003 Nov;124(5):1900-8. doi: 10.1378/chest.124.5.1900.</citation>
    <PMID>14605066</PMID>
  </results_reference>
  <results_reference>
    <citation>Mayer J, Boldt J, Mengistu AM, Rohm KD, Suttner S. Goal-directed intraoperative therapy based on autocalibrated arterial pressure waveform analysis reduces hospital stay in high-risk surgical patients: a randomized, controlled trial. Crit Care. 2010;14(1):R18. doi: 10.1186/cc8875. Epub 2010 Feb 15.</citation>
    <PMID>20156348</PMID>
  </results_reference>
  <results_reference>
    <citation>Haas S, Trepte C, Hinteregger M, Fahje R, Sill B, Herich L, Reuter DA. Prediction of volume responsiveness using pleth variability index in patients undergoing cardiac surgery after cardiopulmonary bypass. J Anesth. 2012 Oct;26(5):696-701. doi: 10.1007/s00540-012-1410-x. Epub 2012 May 16.</citation>
    <PMID>22588287</PMID>
  </results_reference>
  <results_reference>
    <citation>Zimmermann M, Feibicke T, Keyl C, Prasser C, Moritz S, Graf BM, Wiesenack C. Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. Eur J Anaesthesiol. 2010 Jun;27(6):555-61. doi: 10.1097/EJA.0b013e328335fbd1.</citation>
    <PMID>20035228</PMID>
  </results_reference>
  <results_reference>
    <citation>Desgranges FP, Desebbe O, Ghazouani A, Gilbert K, Keller G, Chiari P, Robin J, Bastien O, Lehot JJ, Cannesson M. Influence of the site of measurement on the ability of plethysmographic variability index to predict fluid responsiveness. Br J Anaesth. 2011 Sep;107(3):329-35. doi: 10.1093/bja/aer165. Epub 2011 Jun 16.</citation>
    <PMID>21680600</PMID>
  </results_reference>
  <results_reference>
    <citation>Monnet X, Teboul JL. Volume responsiveness. Curr Opin Crit Care. 2007 Oct;13(5):549-53. doi: 10.1097/MCC.0b013e3282ec68b2.</citation>
    <PMID>17762234</PMID>
  </results_reference>
  <results_reference>
    <citation>Sandroni C, Cavallaro F, Marano C, Falcone C, De Santis P, Antonelli M. Accuracy of plethysmographic indices as predictors of fluid responsiveness in mechanically ventilated adults: a systematic review and meta-analysis. Intensive Care Med. 2012 Sep;38(9):1429-37. doi: 10.1007/s00134-012-2621-1. Epub 2012 Jun 26.</citation>
    <PMID>22732902</PMID>
  </results_reference>
  <results_reference>
    <citation>Schoonjans A, Forget P, Labriola L, Deneys V, Jadoul M, Pingaut I, De Kock M. Pleth variability index combined with passive leg raising-induced pulse pressure variation to detect hypovolemia in spontaneously breathing patients. Acta Anaesthesiol Belg. 2010;61(3):147-50.</citation>
    <PMID>21268570</PMID>
  </results_reference>
  <results_reference>
    <citation>Takeyama M, Matsunaga A, Kakihana Y, Masuda M, Kuniyoshi T, Kanmura Y. Impact of skin incision on the pleth variability index. J Clin Monit Comput. 2011 Aug;25(4):215-21. doi: 10.1007/s10877-011-9298-9. Epub 2011 Sep 18.</citation>
    <PMID>21928109</PMID>
  </results_reference>
  <verification_date>December 2016</verification_date>
  <study_first_submitted>December 30, 2016</study_first_submitted>
  <study_first_submitted_qc>January 3, 2017</study_first_submitted_qc>
  <study_first_posted type="Estimate">January 4, 2017</study_first_posted>
  <last_update_submitted>January 3, 2017</last_update_submitted>
  <last_update_submitted_qc>January 3, 2017</last_update_submitted_qc>
  <last_update_posted type="Estimate">January 4, 2017</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>First Affiliated Hospital, Sun Yat-Sen University</investigator_affiliation>
    <investigator_full_name>Lin Yang</investigator_full_name>
    <investigator_title>attending physician</investigator_title>
  </responsible_party>
  <keyword>pleth variability index</keyword>
  <keyword>stroke volume variation</keyword>
  <keyword>perfusion Index</keyword>
  <keyword>intraoperative</keyword>
  <keyword>intestinal tumor</keyword>
  <patient_data>
    <sharing_ipd>Undecided</sharing_ipd>
  </patient_data>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT03009669
org study id: H20160049（01）
nct id: NCT03009669
lead sponsor: 
collaborator: 
has dmc: Yes
To assess the value of using pleth variability index(PVI) to monitor the patient's
      intra-operative volume status continuously by observing the application of stroke volume
      variation(SVV) and PVI and their correlation in patients undergoing intestinal tumor
      surgeries.
Objective: To assess the value of using PVI to monitor the patient's intra-operative volume
      status continuously by observing the application of stroke volume variation(SVV) and pleth
      variability index(PVI) and their correlation in patients undergoing intestinal tumor
      surgeries.

      Methods: 50 patients undergoing elective intestinal tumor surgery were enrolled, ASAⅠ-Ⅲ, aged
      18-65 years. After the induction of general anesthesia, cardiac index(CI), cardiac
      output(CO), stroke volume variability(SVV), stroke volume index(SVI) were monitored with
      Vigileo system, while pleth variability index(PVI) and perfusion index(PI) were monitored
      with Massion Radical 7 system. During the surgery, goal directed fluid therapy was conducted
      according to the data of CI、SVI and SVV. Heart rate(HR), mean arterial pressure(MAP), central
      venous pressure(CVP), CO, CI, SVI, SVV, PI, PVI were recorded while after the induction of
      anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and
      closing the abdominal incision(T4). And we calculate the correlation of SVV and PVI using
      Pearson Correlation Analysis at different time points.
observational model: Case-Only
time perspective: Prospective
measure: the correlation of SVV and PVI
time frame: during the surgery
description: SVV and PVI were recorded while after the induction of anesthesia(T1),making surgical incision(T2),performing intestinal anastomosis(T3) and closing the abdominal incision(T4). We calculate the correlation of SVV and PVI using Pearson Correlation Analysis at different time points.
measure: stroke volume variability(SVV)
time frame: during the surgery
description: stroke volume variability(SVV) in percentage.Record the date of SVV while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of SVV between the time points.
measure: pleth variability index(PVI)
time frame: during the surgery
description: pleth variability index(PVI) in percentage.Record the date of PVI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of PVI between the time points.
measure: pleth index(PI)
time frame: during the surgery
description: pleth index(PI) in percentage.Record the date of PI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of PI between the time points.
measure: cardiac index(CI)
time frame: during the surgery
description: cardiac index(CI) in L•min-1•m-2.Record the date of CI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of CI between the time points.
measure: stroke volume index(SVI)
time frame: during the surgery
description: (SVI) in ml•m-2.Record the date of SVI while after the induction of anesthesia(T1), making surgical incision(T2), performing intestinal anastomosis(T3) and closing the abdominal incision(T4).Compare the differences of SVI between the time points.
study pop: 
sampling method: Probability Sample
criteria: 
gender: All
minimum age: 18 Years
maximum age: 65 Years
healthy volunteers: No
last name: Shu HaiHua, doctor
role: Study Chair
affiliation: First Affiliated Hospital, Sun Yat-Sen University
citation: Brandstrup B. Fluid therapy for the surgical patient. Best Pract Res Clin Anaesthesiol. 2006 Jun;20(2):265-83. doi: 10.1016/j.bpa.2005.10.007.
PMID: 16850777
citation: Grocott MPW, Mythen MG, Gan TJ. Perioperative fluid management and clinical outcomes in adults. Anesth Analg. 2005 Apr;100(4):1093-1106. doi: 10.1213/01.ANE.0000148691.33690.AC.
PMID: 15781528
citation: Nisanevich V, Felsenstein I, Almogy G, Weissman C, Einav S, Matot I. Effect of intraoperative fluid management on outcome after intraabdominal surgery. Anesthesiology. 2005 Jul;103(1):25-32. doi: 10.1097/00000542-200507000-00008.
PMID: 15983453
citation: Strunden MS, Heckel K, Goetz AE, Reuter DA. Perioperative fluid and volume management: physiological basis, tools and strategies. Ann Intensive Care. 2011 Mar 21;1(1):2. doi: 10.1186/2110-5820-1-2.
PMID: 21906324
citation: Samra T, Arya VK. Comparison of cardiac output estimation by FloTrac/Vigileo TM and intermittent pulmonary artery thermodilution in patient with Takayasu arteritis. Ann Card Anaesth. 2011 May-Aug;14(2):163-4. doi: 10.4103/0971-9784.81579. No abstract available.
PMID: 21636945
citation: Cannesson M. Arterial pressure variation and goal-directed fluid therapy. J Cardiothorac Vasc Anesth. 2010 Jun;24(3):487-97. doi: 10.1053/j.jvca.2009.10.008. No abstract available.
PMID: 20022261
citation: Mathews L, Singh RK. Cardiac output monitoring. Ann Card Anaesth. 2008 Jan-Jun;11(1):56-68. doi: 10.4103/0971-9784.38455.
PMID: 18182765
citation: Cannesson M, Attof Y, Rosamel P, Joseph P, Bastien O, Lehot JJ. Comparison of FloTrac cardiac output monitoring system in patients undergoing coronary artery bypass grafting with pulmonary artery cardiac output measurements. Eur J Anaesthesiol. 2007 Oct;24(10):832-9. doi: 10.1017/S0265021507001056. Epub 2007 Aug 1.
PMID: 17666154
citation: Rex S, Brose S, Metzelder S, Huneke R, Schalte G, Autschbach R, Rossaint R, Buhre W. Prediction of fluid responsiveness in patients during cardiac surgery. Br J Anaesth. 2004 Dec;93(6):782-8. doi: 10.1093/bja/aeh280. Epub 2004 Oct 1.
PMID: 15465840
citation: Michard F, Alaya S, Zarka V, Bahloul M, Richard C, Teboul JL. Global end-diastolic volume as an indicator of cardiac preload in patients with septic shock. Chest. 2003 Nov;124(5):1900-8. doi: 10.1378/chest.124.5.1900.
PMID: 14605066
citation: Mayer J, Boldt J, Mengistu AM, Rohm KD, Suttner S. Goal-directed intraoperative therapy based on autocalibrated arterial pressure waveform analysis reduces hospital stay in high-risk surgical patients: a randomized, controlled trial. Crit Care. 2010;14(1):R18. doi: 10.1186/cc8875. Epub 2010 Feb 15.
PMID: 20156348
citation: Haas S, Trepte C, Hinteregger M, Fahje R, Sill B, Herich L, Reuter DA. Prediction of volume responsiveness using pleth variability index in patients undergoing cardiac surgery after cardiopulmonary bypass. J Anesth. 2012 Oct;26(5):696-701. doi: 10.1007/s00540-012-1410-x. Epub 2012 May 16.
PMID: 22588287
citation: Zimmermann M, Feibicke T, Keyl C, Prasser C, Moritz S, Graf BM, Wiesenack C. Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. Eur J Anaesthesiol. 2010 Jun;27(6):555-61. doi: 10.1097/EJA.0b013e328335fbd1.
PMID: 20035228
citation: Desgranges FP, Desebbe O, Ghazouani A, Gilbert K, Keller G, Chiari P, Robin J, Bastien O, Lehot JJ, Cannesson M. Influence of the site of measurement on the ability of plethysmographic variability index to predict fluid responsiveness. Br J Anaesth. 2011 Sep;107(3):329-35. doi: 10.1093/bja/aer165. Epub 2011 Jun 16.
PMID: 21680600
citation: Monnet X, Teboul JL. Volume responsiveness. Curr Opin Crit Care. 2007 Oct;13(5):549-53. doi: 10.1097/MCC.0b013e3282ec68b2.
PMID: 17762234
citation: Sandroni C, Cavallaro F, Marano C, Falcone C, De Santis P, Antonelli M. Accuracy of plethysmographic indices as predictors of fluid responsiveness in mechanically ventilated adults: a systematic review and meta-analysis. Intensive Care Med. 2012 Sep;38(9):1429-37. doi: 10.1007/s00134-012-2621-1. Epub 2012 Jun 26.
PMID: 22732902
citation: Schoonjans A, Forget P, Labriola L, Deneys V, Jadoul M, Pingaut I, De Kock M. Pleth variability index combined with passive leg raising-induced pulse pressure variation to detect hypovolemia in spontaneously breathing patients. Acta Anaesthesiol Belg. 2010;61(3):147-50.
PMID: 21268570
citation: Takeyama M, Matsunaga A, Kakihana Y, Masuda M, Kuniyoshi T, Kanmura Y. Impact of skin incision on the pleth variability index. J Clin Monit Comput. 2011 Aug;25(4):215-21. doi: 10.1007/s10877-011-9298-9. Epub 2011 Sep 18.
PMID: 21928109
responsible party type: Principal Investigator
investigator affiliation: First Affiliated Hospital, Sun Yat-Sen University
investigator full name: Lin Yang
investigator title: attending physician
sharing ipd: Undecided