Developing Individualized Strategies to Prevent Nausea and Vomiting (PDNVF)
|ClinicalTrials.gov Identifier: NCT01393288|
Recruitment Status : Withdrawn
First Posted : July 13, 2011
Last Update Posted : November 14, 2013
Every year, more than 5 million patients in the US experience postoperative nausea and/or vomiting (PONV) and in the ambulatory setting post-discharge nausea and/or vomiting (PDNV) is the most common cause for unanticipated hospital re-admissions. Similarly, millions of patients suffer from chemotherapy induced nausea and/or vomiting (CINV), and one out of five patients discontinues chemotherapy for this reason. Thus, the control of nausea and vomiting remains a major health concern for the investigators society. The investigatorsoverall goal is to further the understanding of nausea and vomiting and optimize antiemetic selection in order to facilitate individualized patient care.
Unfortunately, current antiemetics reduce the incidence of nausea by only about one third. As a result, antiemetics are often combined, exposing patients to adverse events and drug interactions without evidence for the most effective combination. Moreover, it remains unclear why such a large amount of inter-individual variability exists in antiemetic responsiveness. 5HT3, NK1, and GABA receptors are targets for some of the most commonly prescribed anti-emetics. Furthermore, these receptors have many known genetic polymorphisms, including several linked to incidence of nausea and vomiting. Thus pharmacogenomic variation may in part explain interindividual differences in treatment responses and will be tested in this proposal.
Leveraging the established infrastructure of the UCSF Clinical and Translational Science Institute, and the support of 6 patient recruitment sites, the investigators will enroll 1280 high risk patients to three oral interventions with distinct mechanisms of action for nausea and vomiting. Investigating nausea and vomiting in ambulatory surgical patients is an excellent model for this trial owing to a high incidence, short observational period, and the ability to standardize and control potentially confounding variables. In this proposal, 100% of patients will receive a single intraoperative dose of 4 mg ondansetron, which is similar to the 80% of patients who receive prophylaxis in common practice. Using a factorial design, these patients will be randomized to receive one out of eight possible combinations of the three interventions (ondansetron, aprepitant, lorazepam) versus placebo (ond+aprep+lora, ond+aprep, ond+lora, aprep+lora, ond, aprep, lora, or placebo). Thus, in this proposal 87.5% (7 out of 8 patients) will have antiemetic coverage for the postdischarge period, which is considerably higher than in common practice, where only 4% of patients have antiemetic coverage after discharge. The primary endpoint will be the prevention of nausea and vomiting within 48 hours after ambulatory surgery. The advantage of the factorial trial design is its high efficiency to systematically investigate multiple interventions while allowing us to test for potential interactions. It is also an ideal format for the simultaneous assessment of pharmacogenomic interactions of antiemetics in this proposal.
To this end, the investigators will collect DNA samples and take advantage of the unique opportunity to investigate the effects of variation in candidate receptor genes in the context of the three treatment interventions for PDNV. This approach may in part explain inter-individual differences in drug efficacy and allow for future screening of at-risk patients. Specifically, the investigators will be assessing single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) of targeted receptors for the antiemetics tested.
Aim 1: To determine efficacy of three interventions for the prevention of PDNV.
Hypothesis 1.1: Each intervention reduces the incidence of PDNV.
Hypothesis 1.2: Efficacy of all interventions is independent so that efficacy of a combination can be derived from the efficacy of the individual interventions.
Aim 2: To determine if drug response for anti-emetics is dependent upon genetic variance.
Hypothesis 2: Efficacy of ondansetron, aprepitant and lorazepam to reduce PDNV differs with 5HT3, NK1, and GABA receptor gene variation, respectively.
|Condition or disease||Intervention/treatment||Phase|
|Postoperative Nausea and Vomiting Genetic Polymorphisms||Drug: Ondansetron Drug: Lorazepam Drug: Aprepitant||Not Applicable|
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||0 participants|
|Intervention Model:||Factorial Assignment|
|Masking:||Quadruple (Participant, Care Provider, Investigator, Outcomes Assessor)|
|Official Title:||Developing Individualized Strategies to Prevent Nausea and Vomiting|
|Study Start Date :||November 2013|
|Primary Completion Date :||November 2014|
|Study Completion Date :||November 2015|
|Placebo Comparator: Ondansetron||
8 mg ondansetron ODT or placebo, 1 hour pre-operatively, before discharge, evening of day of surgery, morning of postoperative day (POD) 1, lunch POD 1, evening POD 1, and morning of POD 2
|Placebo Comparator: Lorazepam||
1 mg Lorazepam or placebo 1 hour preoperatively, before discharge, evening of day of surgery, morning of postoperative day (POD) 1, lunch of POD 1, evening of POD 1, and morning of POD 2.
|Placebo Comparator: Aprepitant||
40 mg Aprepitant or placebo 1 hour preoperatively and before discharge (placebo for postoperative days 1-2)
- Incidence of post-discharge nausea and vomiting (PDNV) [ Time Frame: 48 hours post-discharge ]
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01393288
|United States, California|
|University of California, San Francisco|
|San Francisco, California, United States, 94115|
|United States, Kansas|
|University of Kansas Medical Center|
|Kansas City, Kansas, United States, 66160|
|United States, Kentucky|
|University of Kentucky Hospital|
|Lexington, Kentucky, United States, 40506|
|United States, Massachusetts|
|Brigham & Women's Hospital|
|Boston, Massachusetts, United States, 02215|
|United States, Ohio|
|Cleveland, Ohio, United States, 44195|
|Ohio State University Medical Center|
|Columbus, Ohio, United States, 43210|