Sepsis Clinical Trial
Official title:
Impact of a Continuous Dialysis Technique Associated With Adsorption Capacity Membranes in Patients With Sepsis Associated - Acute Kidney Injury.
Septic patients with acute kidney injury (SA-AKI) requiring continuous renal replacement therapies (CRRT) present high mortality due to systemic inflammatory response, cytokine liberation, and finally multiorgan dysfunction. Cytokine plasmatic elimination with continuous venovenous hemofiltration (CVVH) presents frequent complications, known as "dialytrauma", and a high resource cost both technical and human. The study primary end-point is to demonstrate a longer filter life with the use of continuous venovenous hemodialysis (CVVHD) respect to CVVH, both modalities employing the same adsorption capacity membrane. As secondary end-points investigators will try to demonstrate less dialytrauma events of CVVHD respect to CVVH. In order to achieve these objectives investigators have designed a proof of concept exploratory trial that will include those patients whom present SA-AKI meeting CRRT initiation criteria. During the first 72 hours investigators will measure plasmatic elimination capacity of main cytokines, and other clinical and prognostic relevant molecules. Investigators will also measure hemodynamic, respiratory, and metabolic parameters. Adverse effects related to CRRT ("dialytrauma") will also be registrated. Finally, investigators will analyze 90 days survival. Demonstration of a minor complication rate (longer filter patency with less dialytrauma events) with a similar immunomodulating capacity and with its consequent lower cost, should settle the based evidence principles that recommend the use of CVVHD asociated to an adsorption capacity membrane in patients with SA-AKI whom need CRRT.
Investigators will warrant a correct protocol application. Study data will be reviewed by an
external monitoring committee from the clinical assay research central unit (UCICEC -
IDIBELL). Monitors will contrast registered data from the collection data form (CDF) with
data from patient´s medical record. All patient´s medical records will be indefinitely saved
in electronical format to be reviewed if necessary.
Patients who meet inclusion criteria will be randomized for one of both arms with aleatory
assignation using a randomisation sequential (RndSeq) program for Statistical Package for the
Social Sciences (SPSS). Adverse events will be reported (in less than 24 hours if severe) to
the sponsor center to be properly evaluated. If the severe adverse event (SAE) is finally
evaluated by the study board as related to the intervention arm, urgent notification to
health authorities must proceed and study should be interrupted until further decision.
As a pilot study of at least 50 cases is advisable in many circumstances (Sim and Lewis,
2012), and we wanted to compare two treatment options, we aimed to recruit at least 100
patients.
Missing data will try to be avoided by an exhaustive patient´s follow up by study
investigators. Intention to treat analysis (ITT) will be the main strategy and statistical
substitution techniques for missing data will be applied when necessary. Per protocol
analysis will also be done to avoid possible bias. Out-of-range results will be identified
and processed with adequate statistical techniques.
Data registry has been created to include all variables with written individual data
collection forms (DCF). Data will be bedside registered by the study members but final
software database registration will be done by the statistics outside investigator who has no
contact with patients situation. Cytokines levels will be introduced in DCF when measured
(every six months).
Statistical analysis will be done by the statistics investigator who wont have any role in
patient´s selection, randomization, or follow up. SPSS v. 18.0 for statistical analysis will
be used. Variable distribution will be studied and logarithmic transformation will be used on
those variables that don't present normal distribution, presumably cytokine levels.
Univariate analysis comparing clinical, demographic, biochemical, metabolic, hemodynamic and
respiratory baseline variables between both arms (CVVHD-ST150 and CVVH-ST150), will be done
with two-tailed t test for continuous variables and chi-square test for categorical
variables. Variables determined several times (T0, T24, T48, T72) will be analysed using a
one-way repeated measures ANOVA test in order to demonstrate differences between both arms.
Multivariate analysis will be completed to control those clinically relevant confounding
variables as well as to discover baseline differences. According to hypothesis and to the
dependent variable on study investigators will use a survival analysis (to study mortality)
with a cox regression model, or a hierarchic multiple linear regression model when the
dependent variable is continuous (for example dialytrauma score). Arm intervention (CVVHD,
CVVH) will be considered as the main independent variable adding other control independent
variables.
As the study is measuring cytokine levels in five different moments (T0, T24, T48, T72), in
order to maximize statistical power and reduce control variables number, the area under the
curve (AUC) we´ll be determined for every cytokine and LPS during the first 72 hours. Due to
this statistical maneuver investigators will obtain a continuous variable that represents
each cytokine level during the biochemical study period (72 hours). To evaluate if the arm
intervention improvement in terms of efficacy and safety could be related to cytokine levels
during the first 72 hours, a mediation complementary analysis will be done considering
cytokine (represented by AUC) as a mediator between the independent variable (intervention
arm) and the effect we study.
Data dictionary. ICU: Intensive Care Unit; AKI: Acute Kidney Injury; CRRT: Continuous Renal
Replacement Therapies; IL-1β: interleukin 1β; TNF-α: tumor necrosis factor α; IL-6:
interleukin 6, IL-10: interleukin 10; IL-4: interleukin 4; CVVH: Continuous Venovenous
Hemofiltration; CVVHD: Continuous Venovenous Hemodialysis; SPSS: Statistical Package for the
Social Sciences.
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