Prediction of Hypotension Using Perfusion Index and Pleth Variability Index After Spinal Anesthesia for C/S
NCT ID: NCT03864692
Last Updated: 2019-06-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
88 participants
OBSERVATIONAL
2019-01-22
2019-03-14
Brief Summary
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Perfusion index (PI) measured by pulse oximetry reflects vasomotor tone which affects the degree of hypotension after spinal anesthesia. This is a non-invasive method of assessing the relative vascular tone with the use of pulse oximeter which calculates the ratio of pulsatile versus the non-pulsatile component of the blood flow. A lower PI indicates greater peripheral vasomotor tone.
Pleth variability index (PVI) is calculated using maximum and minimum values of perfusion index during respiratory cycles. PVI is one of the dynamic indices that can predict fluid responsiveness.
The aim of this study is to investigate whether the PI and PVI values at different patient positions can predict hypotension during caesarean section.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Hypotension group
Parturients undergoing elective C/S under spinal anesthesia whose systolic arterial pressure drop below 80 mmHg or have symptoms of hypotension such as dizziness, nausea and vomiting during the procedure.
No interventions assigned to this group
Normotension group
Parturients undergoing elective C/S under spinal anesthesia whose systolic arterial pressure does not drop below 80 mmHg or have any symptoms of hypotension during the procedure.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* planned for elective LSCS under spinal anesthesia
Exclusion Criteria
* emergency cases
* placenta previa, pre-eclampsia
* BMI\>40
* Reynauld disease
* patient refusal
* cardiovascular disease
18 Years
40 Years
FEMALE
No
Sponsors
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Kahramanmaras Sutcu Imam University
OTHER
Responsible Party
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MAHMUT ARSLAN
Assistant Professor
Locations
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Kahramanmaras Sutcu Imam University
Kahramanmaraş, In the USA Or Canada, Please Select..., Turkey (Türkiye)
Countries
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Other Identifiers
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KSU 2018-163
Identifier Type: -
Identifier Source: org_study_id
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