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Screening of Postoperative Pulmonary Complications by Electrical Impedance Tomography

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StatusCompleted
Sponsors
Johannes Gutenberg University Mainz

Keywords

Abstract

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.

Description

- Study cycle:

1. Check of criteria of inclusion/exclusion

2. Informed consent

3. Recording preoperative data via paper case report form

4. Preoperative EIT measurement

5. Postoperative EIT measurement

6. Recording postoperative data via paper case report form

Patients therapy and any diagnostic investigation during hospital stay (apart from EIT measurement) are performed appropriate to patients individual clinical needs and are independent from participation in this clinical trial. As PPC may result from surgical complications (e.g. intra- /postoperative bleeding, anastomotic leak, infection of the wound, injury of neighboring organs) they are monitored.

- Statistical analysis:

Sample size:

After consultation of Johannes-Gutenberg-University Institute of Medical Biometry and Epidemiology the following procedure was developed: Pre-analysis with 20 patients, then determination of definitive sample size (advised 80 patients).

Population:

Any registered patient is included in population even if no study-treatment was performed. To fulfill Pre-Protocol-Population-criteria EIT-measurement has to be performed before and after elective epigastric surgery and information about PPC must be revealable from patients medical file/records.

- Analysis of efficacy:

1. Primary objective:

(A) Incidence of any PPC (postoperative pulmonary complication) until postoperative day 7; Acquisition of PPC might require diagnostic investigation during hospital stay; investigations are only performed appropriate to patients individual clinical needs. As PPC are defined:

- I: desaturation, increased oxygen demand (data from electronic health record)

- II: dys-/atelectasis, pleural effusion, pneumothorax, pulmonary vein congestion (data from thoracic x-ray)

- III: detected respiratory infection/pneumonia, pulmonary edema, Aspiration, non-invasive/CPAP-Ventilation, necessity of pleural drain/of bronchoscopy (data from electronic health record, x-ray)

- IV: Reintubation (data from electronic health record), ARDS (according to Berlin Definition)

(B) regional Distribution of Ventilation (Analysis of EIT raw data pre- and postoperative in 4 regions of interest: ventral, mid-ventral, mid-dorsal, dorsal; correlation between PPC and difference in regional Distribution of Ventilation at defined moment)

2. Secondary objective: post-hoc Analysis (see down Secondary Outcome Measure)

Average, Median, Quartile, Standard Deviation are detected and shown in Box-plots (type of graphic). Explorative comparison of parameters is effected by t-Test, Mann-Whitney-U-Test, Fisher-Test dependent on normal distribution.

- Quality assurance and data management Design, execution and analyzation of the study is ICH-GCP-conform (Good-Clinical-Practice-Guideline of the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use). All responsible persons are obliged to good clinical practice. All changes in study protocol are to be authorized by responsible Ethics Committee. The P.I. is responsible for source data verification to assess the accuracy, completeness, or representativeness of registry data by comparing the data to external data sources (e.g., medical records, paper or electronic case report forms).

Prior to written informed consent all patients are to be informed about character and consequences of the study. With their signature patients permit collection and use of source data. Every patient receives an Identification code for pseudonymization of data. Analyzation and publication of data is effected anonymously only. Data collection is mainly provided in an electronic data base, besides in a paper-based Case Report Form. All electronic and paper-based data and archived in our Clinical Research Center and are accessible for authorized persons (Monitor, Auditor). The study protocol does not provide audits.

Dates

Last Verified: 02/29/2016
First Submitted: 05/23/2014
Estimated Enrollment Submitted: 01/07/2015
First Posted: 01/13/2015
Last Update Submitted: 03/21/2016
Last Update Posted: 03/23/2016
Actual Study Start Date: 04/30/2014
Estimated Primary Completion Date: 02/29/2016
Estimated Study Completion Date: 02/29/2016

Condition or disease

Pulmonary Disease
Postoperative Respiratory Complications
Malignant Neoplasm of Stomach
Liver Diseases
Pancreatic Diseases

Phase

-

Eligibility Criteria

Ages Eligible for Study 18 Years To 18 Years
Sexes Eligible for StudyAll
Sampling methodProbability Sample
Accepts Healthy VolunteersYes
Criteria

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

Outcome

Primary Outcome Measures

1. Change of regional ventilation partition (ROI analysis in 8 pulmonary ROIs) from preoperative to postoperative state. [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)]

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).

Secondary Outcome Measures

1. Postoperative EIT-measured regional ventilation distribution (ROI analysis in 8 pulmonary ROIs) [1 week]

Sensitivity and specifiy for appearance of PPC (Postoperative Pulmonary Complications) within Postoperative Day 1-7. Statistical analysis: Sensitivity, Specificity, ROC-curve

2. Postoperative EIT-measured regional ventilation distribution (ROI analysis in 8 pulmonary ROIs) [1 week]

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

3. Appearance of all specific forms of PPC (Postoperative Pulmonary Complications) within postoperative day 1-7 [1 week]

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

4. 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 [1 week]

Sensitivity and specifity of postoperative EIT-measure for mortality. Statistical analysis: Sensitivity, Specificity, ROC-curve

5. Time of intensive care therapy [1 week]

Sensitivity and specifity of postoperative EIT-measure for time of intensive care therapy. Statistical analysis: Sensitivity, Specificity, ROC-curve

6. Ventilator-obligatory-free days [1 week]

Sensitivity and specifity of postoperative EIT-measure for Ventilator-obligatory-free days. Statistical analysis: Sensitivity, Specificity, ROC-curve

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