Liver Diseases Clinical Trial
Official title:
Screening of Postoperative Pulmonary Complications by Electrical Impedance Tomography in Intensive Care Patients Undergoing Epigastric Surgery
NCT number | NCT02337673 |
Other study ID # | JohannesGU-EIT-01 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | May 2014 |
Est. completion date | March 2016 |
Verified date | September 2023 |
Source | Johannes Gutenberg University Mainz |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
The purpose of this study is to determine whether Electrical Impedance Tomography can be used as sensitive and specific predictor in the detection of postoperative pulmonary complications (e.g. pneumonia, bronchitis, acute respiratory distress syndrome, pleural effusion, pneumothorax, pulmonary edema, atelectasis, pulmonary embolism, hypoxemia, hypercapnia, spasms and obstructions of the airway) in patients undergoing epigastric surgery.
Status | Completed |
Enrollment | 130 |
Est. completion date | March 2016 |
Est. primary completion date | March 2016 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - age > 17 years - no participation in another trial - mental and physical state allow written consent - elective epigastric surgery by laparotomy in general anesthesia (e.g. gastrectomy, splenectomy, pancreatic surgery, liver surgery/hemihepatectomy, cholecystectomy) Exclusion Criteria: - age < 18 years - in women: pregnancy - missing or disability for giving written consent - emergency patients - patients after cardiac surgery less than 3 months ago - patients after pulmonary lobectomy during lifetime - patients with cardiac stimulator/defibrillator or any other implant with electric activity - patients with cutaneous lesions or bandage in the area of EIT electrode placement - patients with instability of the spine - body mass index > 50 |
Country | Name | City | State |
---|---|---|---|
Germany | Universitätsmedizin Mainz, Klinik für Anästhesiologie (University Hospital of Johannes Gutenberg-University Mainz, Department of Anesthesiology) | Mainz | Rheinland-Pfalz (Rhineland-Palatinate) |
Lead Sponsor | Collaborator |
---|---|
Johannes Gutenberg University Mainz |
Germany,
Bodenstein M, Boehme S, Bierschock S, Vogt A, David M, Markstaller K. Determination of respiratory gas flow by electrical impedance tomography in an animal model of mechanical ventilation. BMC Pulm Med. 2014 Apr 29;14:73. doi: 10.1186/1471-2466-14-73. — View Citation
Bodenstein M, David M, Markstaller K. Principles of electrical impedance tomography and its clinical application. Crit Care Med. 2009 Feb;37(2):713-24. doi: 10.1097/CCM.0b013e3181958d2f. — View Citation
Hinz J, Neumann P, Dudykevych T, Andersson LG, Wrigge H, Burchardi H, Hedenstierna G. Regional ventilation by electrical impedance tomography: a comparison with ventilation scintigraphy in pigs. Chest. 2003 Jul;124(1):314-22. doi: 10.1378/chest.124.1.314. — View Citation
Richard JC, Pouzot C, Gros A, Tourevieille C, Lebars D, Lavenne F, Frerichs I, Guerin C. Electrical impedance tomography compared to positron emission tomography for the measurement of regional lung ventilation: an experimental study. Crit Care. 2009;13(3):R82. doi: 10.1186/cc7900. Epub 2009 May 29. — View Citation
Victorino JA, Borges JB, Okamoto VN, Matos GF, Tucci MR, Caramez MP, Tanaka H, Sipmann FS, Santos DC, Barbas CS, Carvalho CR, Amato MB. Imbalances in regional lung ventilation: a validation study on electrical impedance tomography. Am J Respir Crit Care Med. 2004 Apr 1;169(7):791-800. doi: 10.1164/rccm.200301-133OC. Epub 2003 Dec 23. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change of regional ventilation partition (ROI analysis in 8 pulmonary ROIs) from preoperative to postoperative state. | Comparison of the changed regional ventilation partition to the occurence of postoperative pulmonary complications => calculation of sensitivity and specifity of the primary outcome measure to predict PPC. Statistical analysis: receiver operating characteristic (ROC curve). | 1.) First EIT-measure: Preoperative Day; 2.) Second EIT-measure: Day of Operation (after extubation) or in between Postoperative Day 1-7 (in case of deferred extubation) | |
Secondary | Postoperative EIT-measured regional ventilation distribution (ROI analysis in 8 pulmonary ROIs) | Sensitivity and specifiy for appearance of PPC (Postoperative Pulmonary Complications) within Postoperative Day 1-7.
Statistical analysis: Sensitivity, Specificity, ROC-curve |
1 week | |
Secondary | Postoperative EIT-measured regional ventilation distribution (ROI analysis in 8 pulmonary ROIs) | Correlation of pre-existing pathologic pulmonary conditions with specific postoperative changes in regional distribution of lung ventilation and perfusion assessed by EIT Statistical analysis: Sensitivity, Specificity, ROC-curve | 1 week | |
Secondary | Appearance of all specific forms of PPC (Postoperative Pulmonary Complications) within postoperative day 1-7 | Appearance of all different forms of PPC within Postoperative Day 1-7 and relation to postoperative EIT-measure (ROI analysis in 8 pulmonary ROIs).
Statistical analysis: Sensitivity, Specificity, ROC-curve |
1 week | |
Secondary | Outcome (e.g. mortality, time of intensive care therapy, ventilator-obligatory-free days on Postoperative Day 1-7 Postoperative EIT-measure is predictive for patients outcome | Sensitivity and specifity of postoperative EIT-measure for mortality. Statistical analysis: Sensitivity, Specificity, ROC-curve | 1 week | |
Secondary | Time of intensive care therapy | Sensitivity and specifity of postoperative EIT-measure for time of intensive care therapy.
Statistical analysis: Sensitivity, Specificity, ROC-curve |
1 week | |
Secondary | Ventilator-obligatory-free days | Sensitivity and specifity of postoperative EIT-measure for Ventilator-obligatory-free days.
Statistical analysis: Sensitivity, Specificity, ROC-curve |
1 week |
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