| Title |
Prediction of chemotherapy-induced nausea and vomiting from patient-reported and genetic risk factors
|
|---|---|
| Published in |
Supportive Care in Cancer, March 2018
|
| DOI | 10.1007/s00520-018-4120-6 |
| Pubmed ID | |
| Authors |
Sonam Puri, Kelly A. Hyland, Kristine Crowe Weiss, Gillian C. Bell, Jhanelle E. Gray, Richard Kim, Hui-Yi Lin, Aasha I. Hoogland, Brian D. Gonzalez, Ashley M. Nelson, Anita Y. Kinney, Stacy M. Fischer, Daneng Li, Paul B. Jacobsen, Howard L. McLeod, Heather S. L. Jim |
| Abstract |
Chemotherapy-induced nausea and vomiting (CINV) is common among cancer patients. Early identification of patients at risk for CINV may help to personalize anti-emetic therapies. To date, few studies have examined the combined contributions of patient-reported and genetic risk factors to CINV. The goal of this study was to evaluate these risk factors. Prior to their first chemotherapy infusion, participants completed demographic and risk factor questionnaires and provided a blood sample to measure genetic variants in ABCB1 (rs1045642) and HTR3B (rs45460698) as well as CYP2D6 activity score. The M.D. Anderson Symptom Inventory was completed at 24 h and 5-day post-infusion to assess the severity of acute and delayed CINV, respectively. Participants were 88 patients (55% female, M = 60 years). A total of 23% experienced acute nausea and 55% delayed nausea. Younger age, history of pregnancy-related nausea, fewer hours slept the night prior to infusion, and variation in ABCB1 were associated with more severe acute nausea; advanced-stage cancer and receipt of highly emetogenic chemotherapy were associated with more severe delayed nausea (p values < 0.05). In multivariable analyses, ABCB1 added an additional 5% predictive value beyond the 13% variance explained by patient-reported risk factors. The current study identified patient-reported and genetic factors that may place patients at risk for acute nausea despite receipt of guideline-consistent anti-emetic prophylaxis. Additional studies examining other genetic variants are needed, as well as the development of risk prediction models including both patient-reported and genetic risk factors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 23% |
| Student > Bachelor | 7 | 16% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Nursing and Health Professions | 5 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 9% |
| Psychology | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 12 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2018.
All research outputs
#14,843,455
of 23,031,582 outputs
Outputs from Supportive Care in Cancer
#2,950
of 4,643 outputs
Outputs of similar age
#199,789
of 333,794 outputs
Outputs of similar age from Supportive Care in Cancer
#72
of 107 outputs
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