Literature DB >> 26378158

Comorbidities among patients with cancer who do and do not develop febrile neutropenia during the first chemotherapy cycle.

Xiaoyan Li1, Rakesh Luthra2, Phuong K Morrow3, Maxine D Fisher2, Maureen Reiner3, Richard L Barron3, Wendy J Langeberg3.   

Abstract

Patients receiving myelosuppressive chemotherapy with certain comorbidities are at increased risk of febrile neutropenia. A comprehensive evaluation of febrile neutropenia-related comorbidities across cancers is needed. This study compared comorbidity prevalence among patients with cancer who did and did not develop febrile neutropenia during the first chemotherapy cycle. This case-control study used administrative claims from adult patients with non-Hodgkin lymphoma or breast, lung, colorectal, ovarian, or gastric cancer who received chemotherapy between 2007 and 2012. Each patient who developed febrile neutropenia (case) was matched with up to four patients without febrile neutropenia (controls) by cancer type, metastasis, chemotherapy regimen, age group, and sex. For each comorbidity (identified in the year before chemotherapy began), the adjusted odds ratio (aOR) for febrile neutropenia by cancer type was evaluated using conditional logistic regression models adjusted for potential confounding factors. Of 31,331 eligible patients, 672 developed febrile neutropenia in the first chemotherapy cycle. A total of 3312 febrile neutropenia cases and matched controls were analyzed. Across tumor types, comorbidity prevalence was higher in patients who developed febrile neutropenia than in those without febrile neutropenia. Among patients with breast cancer, osteoarthritis was more prevalent in patients with febrile neutropenia (aOR, 1.85; 95% CI, 1.07 to 3.18). Among patients with non-Hodgkin lymphoma, renal disease was more prevalent in patients with febrile neutropenia (aOR, 2.25; 95% CI, 1.23 to 4.11). Patients who developed febrile neutropenia in the first chemotherapy cycle presented with comorbidities more often than otherwise similar patients who did not develop febrile neutropenia. These findings warrant further investigation and support the inclusion of comorbidities into febrile neutropenia risk models.
© The Author(s) 2015.

Entities:  

Keywords:  Comorbidities; chemotherapy; febrile neutropenia; neutropenia

Mesh:

Substances:

Year:  2015        PMID: 26378158     DOI: 10.1177/1078155215603229

Source DB:  PubMed          Journal:  J Oncol Pharm Pract        ISSN: 1078-1552            Impact factor:   1.809


  8 in total

1.  Development of a simplified multivariable model to predict neutropenic complications in cancer patients undergoing chemotherapy.

Authors:  Abolfazl Razzaghdoust; Bahram Mofid; Maryam Moghadam
Journal:  Support Care Cancer       Date:  2018-05-07       Impact factor: 3.603

2.  Febrile neutropenia in adjuvant and neoadjuvant chemotherapy for breast cancer: a retrospective study in routine clinical practice from a single institution.

Authors:  Joy Bacrie; Marc Laurans; Pauline Iorio; Emmanuelle Fourme; Anne Béthune Volters; Laurence Bozec; Florence Lerebours; Coraline Dubot; Okba Bensaoula; Bilel Benzidane; Jean-Yves Pierga; Delphine Lefeuvre
Journal:  Support Care Cancer       Date:  2018-05-31       Impact factor: 3.603

3.  A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets.

Authors:  Gordon Lemmon; Sergiusz Wesolowski; Alex Henrie; Martin Tristani-Firouzi; Mark Yandell
Journal:  Nat Comput Sci       Date:  2021-10-21

Review 4.  Chemotherapy-Induced Neutropenia as a Prognostic and Predictive Marker of Outcomes in Solid-Tumor Patients.

Authors:  Pashtoon Murtaza Kasi; Axel Grothey
Journal:  Drugs       Date:  2018-05       Impact factor: 9.546

5.  Cost of Cancer-Related Neutropenia or Fever Hospitalizations, United States, 2012.

Authors:  Eric Tai; Gery P Guy; Angela Dunbar; Lisa C Richardson
Journal:  J Oncol Pract       Date:  2017-04-24       Impact factor: 3.840

6.  Predicting neutropenia risk in patients with cancer using electronic data.

Authors:  Pamala A Pawloski; Avis J Thomas; Sheryl Kane; Gabriela Vazquez-Benitez; Gary R Shapiro; Gary H Lyman
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

7.  Incidence and risk factors of febrile neutropenia in patients with non-Hodgkin B-cell lymphoma receiving R-CHOP in a single center in Japan.

Authors:  Masahiro Yokoyama; Yoshiharu Kusano; Anna Takahashi; Norihito Inoue; Kyoko Ueda; Noriko Nishimura; Yuko Mishima; Yasuhito Terui; Tomoyuki Nukada; Takanobu Nomura; Kiyohiko Hatake
Journal:  Support Care Cancer       Date:  2017-05-27       Impact factor: 3.603

8.  Patient factors and their impact on neutropenic events: a systematic review and meta-analysis.

Authors:  Pinkie Chambers; Yogini Jani; Li Wei; Emma Kipps; Martin D Forster; Ian C K Wong
Journal:  Support Care Cancer       Date:  2019-04-16       Impact factor: 3.603

  8 in total

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