Literature DB >> 32329131

Predicting Chemotherapy Toxicity in Older Patients with Cancer: A Multicenter Prospective Study.

Jaime Feliu1, Beatriz Jiménez-Munárriz2, Laura Basterretxea3, Irene Paredero4, Elisenda Llabrés5, Maite Antonio-Rebollo6, Beatriz Losada7, Enrique Espinosa1, Regina Gironés8, Ana Belén Custodio1, María Del Mar Muñoz9, Mariana Díaz-Almirón10, Jeniffer Gómez-Mediavilla3, Alvaro Pinto1, María-Dolores Torregrosa4, Gema Soler6, Patricia Cruz1, Oliver Higuera1, María José Molina-Garrido9.   

Abstract

BACKGROUND: Standard oncology tools are inadequate to distinguish which older patients are at higher risk of developing chemotherapy-related complications.
MATERIALS AND METHODS: Patients over 70 years of age starting new chemotherapy regimens were prospectively included in a multicenter study. A prechemotherapy assessment that included sociodemographics, tumor/treatment variables, and geriatric assessment variables was performed. Association between these factors and the development of grade 3-5 toxicity was examined by using logistic regression.
RESULTS: A total of 551 patients were accrued. Chemotherapy doses (odds ratio [OR] 1.834; 95% confidence interval [CI] 1.237-2.719) and creatinine clearance (OR 0.989; 95% CI 0.981-0.997) were the only factors independently associated with toxicity. Only 19% of patients who received reduced doses of chemotherapy and had a creatinine clearance ≥40 mL/minute had grade 3-4 toxicity, compared with 38% of those who received standard doses or had a creatinine clearance <40 mL/minute (p < .0001). However, no satisfactory multivariate model was obtained using different selection approaches.
CONCLUSION: Chemotherapy doses and renal function were identified as the major risk factors for developing severe toxicity in the older patient. These factors should be considered when planning to initiate a new chemotherapy regimen and should also lead to a closer follow-up in these patients. IMPLICATIONS FOR PRACTICE: Older patients are more vulnerable to chemotherapy toxicity. However, standard tools are inadequate to identify who is at higher risk of developing chemotherapy-related complications. Chemotherapy doses (standard vs. reduced) and renal function were identified as the major risk factors for developing severe toxicity in the elderly. These factors should be considered when planning to initiate a new chemotherapy regimen and should also lead to a closer follow-up. © AlphaMed Press 2020.

Entities:  

Keywords:  Chemotherapy; Geriatric assessment; Older patient; Toxicity; Toxicity risk score

Mesh:

Year:  2020        PMID: 32329131      PMCID: PMC7543241          DOI: 10.1634/theoncologist.2019-0701

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159            Impact factor:   5.837


  43 in total

1.  Effect of creatinine clearance on patterns of toxicity in older patients receiving adjuvant chemotherapy for breast cancer.

Authors:  Arti Hurria; Anju Hurria; Kelly Brogan; Katherine S Panageas; Carol Pearce; Larry Norton; Ann Jakubowski; Jane Howard; Clifford Hudis
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

2.  Are frailty markers useful for predicting treatment toxicity and mortality in older newly diagnosed cancer patients? Results from a prospective pilot study.

Authors:  Martine T E Puts; Johanne Monette; Veronique Girre; Carmela Pepe; Michele Monette; Sarit Assouline; Lawrence Panasci; Mark Basik; Wilson H Miller; Gerald Batist; Christina Wolfson; Howard Bergman
Journal:  Crit Rev Oncol Hematol       Date:  2010-05-04       Impact factor: 6.312

3.  Cumulative illness rating scale.

Authors:  B S Linn; M W Linn; L Gurel
Journal:  J Am Geriatr Soc       Date:  1968-05       Impact factor: 5.562

4.  Comprehensive geriatric assessment predicts tolerance to chemotherapy and survival in elderly patients with advanced ovarian carcinoma: a GINECO study.

Authors:  G Freyer; J-F Geay; S Touzet; J Provencal; B Weber; J-P Jacquin; G Ganem; N Tubiana-Mathieu; O Gisserot; E Pujade-Lauraine
Journal:  Ann Oncol       Date:  2005-08-10       Impact factor: 32.976

5.  A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission.

Authors:  J M Guralnik; E M Simonsick; L Ferrucci; R J Glynn; L F Berkman; D G Blazer; P A Scherr; R B Wallace
Journal:  J Gerontol       Date:  1994-03

6.  Impact of age and medical comorbidity on adjuvant treatment outcomes for stage III colon cancer: a pooled analysis of individual patient data from four randomized, controlled trials.

Authors:  D G Haller; M J O'Connell; T H Cartwright; C J Twelves; E F McKenna; W Sun; M W Saif; S Lee; G Yothers; H-J Schmoll
Journal:  Ann Oncol       Date:  2015-01-16       Impact factor: 32.976

7.  Estimating the risk of chemotherapy toxicity in older patients with cancer: The role of the Vulnerable Elders Survey-13 (VES-13).

Authors:  Andrea Luciani; Laura Biganzoli; Giuseppe Colloca; Cristina Falci; Bruno Castagneto; Irene Floriani; Nicolò Battisti; Lorenzo Dottorini; Daris Ferrari; Pasquale Fiduccia; Elena Zafarana; Francesca Del Monte; Francesca Galli; Silvio Monfardini; Paolo Foa
Journal:  J Geriatr Oncol       Date:  2015-06-15       Impact factor: 3.599

8.  Intra and interobserver variability in cancer patients' performance status assessed according to Karnofsky and ECOG scales.

Authors:  F Roila; M Lupattelli; M Sassi; C Basurto; S Bracarda; M Picciafuoco; E Boschetti; G Milella; E Ballatori; M Tonato
Journal:  Ann Oncol       Date:  1991-06       Impact factor: 32.976

9.  Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability.

Authors:  J M Guralnik; L Ferrucci; E M Simonsick; M E Salive; R B Wallace
Journal:  N Engl J Med       Date:  1995-03-02       Impact factor: 91.245

10.  Sex differences in adverse drug reactions reported to the National Pharmacovigilance Centre in the Netherlands: An explorative observational study.

Authors:  Sieta T de Vries; Petra Denig; Corine Ekhart; Jako S Burgers; Nanno Kleefstra; Peter G M Mol; Eugène P van Puijenbroek
Journal:  Br J Clin Pharmacol       Date:  2019-04-29       Impact factor: 4.335

View more
  4 in total

Review 1.  Predictive Modeling for Adverse Events and Risk Stratification Programs for People Receiving Cancer Treatment.

Authors:  Chelsea K Osterman; Hanna K Sanoff; William A Wood; Megan Fasold; Jennifer Elston Lafata
Journal:  JCO Oncol Pract       Date:  2021-09-01

Review 2.  Chemotherapy and Targeted Agents in the Treatment of Elderly Patients with Metastatic Colorectal Cancer.

Authors:  Albert Tuca; Rosa Gallego; Ismael Ghanem; Mireia Gil-Raga; Jaime Feliu
Journal:  J Clin Med       Date:  2020-12-11       Impact factor: 4.241

3.  Prediction of Chemotoxicity, Unplanned Hospitalizations and Early Death in Older Patients with Colorectal Cancer Treated with Chemotherapy.

Authors:  Jaime Feliu; Enrique Espinosa; Laura Basterretxea; Irene Paredero; Elisenda Llabrés; Beatriz Jiménez-Munárriz; Maite Antonio-Rebollo; Beatriz Losada; Alvaro Pinto; Ana Belén Custodio; María Del Mar Muñoz; Jenifer Gómez-Mediavilla; María-Dolores Torregrosa; Gema Soler; Patricia Cruz; Oliver Higuera; María-José Molina-Garrido
Journal:  Cancers (Basel)       Date:  2021-12-28       Impact factor: 6.639

Review 4.  Is immunotherapy at reduced dose and radiotherapy for older patients with locally advanced non-small lung cancer feasible?-a narrative review by the international geriatric radiotherapy group.

Authors:  Vincent Vinh-Hung; Olena Gorobets; Andre Duerinkcx; Suresh Dutta; Eromosele Oboite; Joan Oboite; Ahmed Ali; Thandeka Mazibuko; Ulf Karlsson; Alexander Chi; David Lehrman; Omer Hashim Mohammed; Mohammad Mohammadianpanah; Gokoulakrichenane Loganadane; Natalia Migliore; Maria Vasileiou; Nam P Nguyen; Huan Giap
Journal:  Transl Cancer Res       Date:  2022-09       Impact factor: 0.496

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.