Ventilator-associated Pneumonia Clinical Trial
Official title:
Prevention of Ventilator-Associated Pneumonia by Oropharyngeal and Subglottic Decontamination Via Bronchoscopy
Ventilator-associated pneumonia (VAP) is common in patients receiving mechanical ventilation,
and is associated with longer hospital stay, increased treatment costs, and higher rates of
morbidity and mortality . VAP is reported to occur in 8%-67% of mechanically ventilated
patients (20%-28% in most reports) and has a mortality rate of 24%-50%, which is 2-3 times
the mortality rate of mechanically ventilated patients without VAP. In patients infected by
multi-resistant bacteria, the mortality rate may be as high as 76%. The diagnosis, treatment,
and prevention of VAP are therefore important. Strategies for preventing VAP are crucial for
reducing medical costs and increasing survival rates in critically ill patients. These
strategies mainly involve a semi-reclining position with the head of the bed raised to at
least 30°-45°, oral care, suctioning of subglottic secretions, selective decontamination of
the digestive tract, proper hand washing, avoidance or reduction of proton pump inhibitors,
avoidance of excessive sedation, and control of plasma glucose levels.
At our center, VAP is mainly caused by bacterial colonization of the upper respiratory tract
via aspiration. This study will compare four interventions including oropharyngeal
decontamination and subglottic suctioning by bronchoscopy, with the aim of developing a
prevention strategy to minimize the development of VAP during mechanical ventilation.
Patients will be assessed as follows:
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Adverse Events:
Adverse events that occur after endotracheal intubation, mechanical ventilation, oral
cleansing with chlorhexidine, and suctioning of oropharyngeal secretions by bronchoscopy will
be recorded. All adverse events including laboratory abnormalities will be recorded, even if
they are thought to be unrelated to medical interventions. The severity of adverse events and
any correlations with experimental drugs will be carefully recorded on the case report form.
The relationships between adverse events and drug resistance will be categorized as certainly
relevant, probably relevant, possibly relevant, possibly irrelevant, or certainly irrelevant.
The proportions of adverse events that are categorized as certainly relevant, probably
relevant, and possibly relevant will be calculated. Severe adverse events will be recorded in
a table and reported to the director of the unit and the sponsor within 24 hours.
Severity Assessment:
The severity of adverse events will be categorized as mild, moderate, or severe. A mild
adverse event is defined as an event with signs and symptoms that are easy to tolerate such
as nausea, vomiting, or transient localized pain. A moderate adverse event is defined as an
event resulting in persistent pain. A severe adverse event is defined as an event resulting
in prolonged hospitalization, disability, reduced ability to work, risk of death, or
congenital malformation.
The outcomes of all adverse events will be recorded. Patients who withdraw from the trial
because of adverse events will be followed up until complete resolution of the events. The
investigators will judge whether the adverse events are related to the administration of
experimental drugs, and will record the justification for each decision.
Data Management:
Completed case report forms will be collected by the clinical coordinator and the data will
be entered into the database. After checking for accuracy, the data will be locked. After
unblinding, the data will be categorized according to the four groups of patients.
Statistical Analysis:
Numerical data will be described as percentages, and measurement data as mean ± standard
deviation. Abnormally distributed data will be described as median and interquartile range
(25th-75th percentile).
Comparisons of Baseline Data:
Numerical data will be compared between groups using the chi-square test or Fisher's exact
test. Measurement data with normal distributions will be analyzed by single- or multi-factor
analysis of variance. Data with high heterogeneity will be compared using a non-parametric
test such as Tamhane's T2 test. Measurement data with non-normal distributions will be
compared using the non-parametric Mann-Whitney U test or the Kruskal-Wallis rank sum test.
Groups will be compared at baseline and at different time points after enrollment.
Comparisons of Efficacy:
Analgesic and sedative effects will be compared among groups using the Kruskal-Wallis rank
sum test. For factors showing significant differences among groups, pairwise comparisons will
be analyzed using the non-parametric Mann-Whitney U test. Mean values will be compared
between groups using the Cochran-Mantel-Haenszel chi-square test.
Data Processing:
All statistical analyses will be performed using SAS software. Two-sided P values will be
calculated. For Fisher's exact test, the P value will be calculated directly. A value of P
<0.05 is considered significant, and P <0.01 is considered highly significant.
Quality Assurance:
This study will have one principal investigator, one research investigator, and four other
investigators. The clinical protocol will be strictly implemented. An independent inspector
will be appointed to monitor the clinical trial.
Quality Control of the Parameters Measured:
The parameters recorded will be measured according to standard operating and quality control
procedures, using standard national units of measurement. Test report forms will be fully
completed including the date, parameters tested, test results, and normal ranges.
Ethical Standards:
The investigators or investigator-authorized personnel will explain the benefits and risks of
participating in the clinical trial to each patient, or to the patient's legal
representative. Written informed consent will be obtained prior to study entry (before
performance of tests and administration of drugs). The original consent forms will be stored
by the investigators.
Data Retention:
The investigators will be responsible for maintaining the database and keeping the data
locked for future analysis. In accordance with the principles of good clinical practice in
China, the data will be kept for at least 5 years.
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