| Literature DB >> 29556809 |
Abstract
Numerous groups have published guidelines for the prevention and management of chemotherapy-induced nausea and vomiting (CINV). The current management of CINV, however, remains suboptimal, due in part to poor adherence to existing antiemetic guidelines. Challenges in clinical trial design have also slowed progress and complicated the selection of optimal antiemetic therapy. In addition, patient-specific characteristics and factors are not included in current CINV guidelines and are an important contributor to an individual's risk for nausea and vomiting. CINV risk prediction algorithms have now emerged and provide the opportunity to individualize antiemetic prophylaxis. Further studies are underway to examine the precise role for risk model-guided antiemetic prophylaxis in patients with cancer.Entities:
Keywords: Adherence; Antiemetic guidelines; CINV; CINV risk prediction models; Chemotherapy-induced nausea and vomiting; Clinical trial design
Mesh:
Substances:
Year: 2018 PMID: 29556809 PMCID: PMC5876263 DOI: 10.1007/s00520-018-4115-3
Source DB: PubMed Journal: Support Care Cancer ISSN: 0941-4355 Impact factor: 3.603
Emetogenic potential of common cancer therapies (when administered without any antiemetics) [1–3]
| Highly emetogenic (> 90% frequency of emesis) | ||
| Intravenous agents | Oral agentsd | |
| • Anthracycline/cyclophosphamide combination | • Cyclophosphamide > 1500 mg/m2 | • Hexamethylmelamineb, c |
| Moderately emetogenic (> 30 to 90% frequency of emesis) | ||
| Intravenous agents | Oral agentsd | |
| • Aldesleukin > 12–15 million IU/m2a | • Doxorubicin < 60 mg/m2a | • Bosutinibb, c |
AUC area under the curve, IU international units
aFrom the National Comprehensive Cancer Network (NCCN) guidelines
bFrom the Multinational Association for Supportive Care in Cancer/European Society of Medical Oncology (MASCC/ESMO) guidelines
cFrom the American Society of Clinical Oncology (ASCO) Antiemetic Clinical Practice Guideline 2017 update
dIn the NCCN guidelines, oral antineoplastic agents are grouped together as moderate to high emetic risk (≥ 30% frequency of emesis)
Summary of current CINV guidelines [1–3]
| Recommended antiemetic therapy | ||
|---|---|---|
| Acute phase | Delayed phase | |
| MASCC/ESMO guidelines [ | ||
| Non-AC HEC | 5-HT3 RA + DEX + NK-1 RA | DEX |
| AC | 5-HT3 RAa + DEX + NK-1 RA | Aprepitant or DEX if aprepitant is used on day 1 |
| Carboplatin | 5-HT3 RA + DEX + NK-1 RA | None (continue aprepitant if used on day 1) |
| Non-carboplatin MEC | 5-HT3 RA + DEX | ± DEX |
| LEC | DEX or 5-HT3 RA or dopamine RA | None |
| NCCN guidelines [ | ||
| HEC (including AC and carboplatin AUC ≥ 4) | 5-HT3 RA + DEX + NK-1 RA | DEX (+ aprepitant if used on day 1) |
| MEC | 5-HT3 RA + DEX | 5-HT3 RA + DEX |
| LEC | DEX or 5-HT3 RA or dopamine RA | None |
| ASCO guidelines [ | ||
| Non-AC HEC | 5-HT3 RA + DEX + NK-1 RA + olanzapine | Aprepitant (if used on day 1) + DEX + olanzapine |
| AC | 5-HT3 RA + DEX + NK-1 RA + olanzapine | Aprepitant (if used on day 1) + olanzapine |
| Carboplatin AUC ≥ 4 | 5-HT3 RA + DEX + NK-1 RA | |
| MEC (excluding carboplatin AUC ≥ 4) | 5-HT3 RA + DEX | DEX if patients are at risk for delayed CINV |
| LEC | 5-HT3 RA or DEX | None |
5-HT3 5-hydroxytryptamine, AC anthracycline/cyclophosphamide, ASCO American Society of Clinical Oncology, AUC area under the curve, CINV chemotherapy-induced nausea and vomiting, DEX dexamethasone, ESMO European Society for Medical Oncology, HEC highly emetogenic chemotherapy, LEC low emetogenic chemotherapy, MASCC Multinational Association of Supportive Care in Cancer, MEC moderately emetogenic chemotherapy, NCCN National Comprehensive Cancer Network, NEPA netupitant/palonosetron, NK-1 neurokinin-1, RA receptor antagonist
aIf an NK-1 receptor antagonist is not available, palonosetron is the preferred 5-HT3 receptor antagonist for patients receiving AC-based chemotherapy in the MASCC/ESMO guidelines
Fig. 1Risk scoring algorithm for grade ≥ 2 CINV [29]. aThe probability of developing ≥ grade 2 CINV during that cycle of therapy can then be estimated from the accompanying graph