Distinct profiles of multiple co-occurring symptoms in patients with gastrointestinal cancers receiving chemotherapy.
Purpose: Identify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes.Methods: Patients with GI cancers (n = 399) comp...
| Publicado en: | Supportive Care in Cancer Vol. 29; no. 8; pp. 4461 - 4472 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151103781&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151103781 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09414355 O1J jtl: Supportive Care in Cancer issn: 09414355 maglogo: N pubinfo: dt: Aug2021 vid: 29 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 151103781 151103781 NLM33454824 10.1007/s00520-020-05946-4 NLM33454824 151103781 ppf: 4461 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Distinct profiles of multiple co-occurring symptoms in patients with gastrointestinal cancers receiving chemotherapy. aug: au: Lin, Yufen Bailey, Donald E. Docherty, Sharron L. Porter, Laura S. Cooper, Bruce A. Paul, Steven M. Kober, Kord M. Hammer, Marilyn J. Wright, Fay Dunn, Laura B. Conley, Yvette P. Levine, Jon D. Miaskowski, Christine Bailey, Donald E Jr affil: School of Nursing, Duke University, Durham, NC, USA sug: subj: Quality of Life Psychosocial Factors Gastrointestinal Neoplasms Drug Therapy Prospective Studies Comorbidity Middle Age Male Female Cross Sectional Studies Risk Factors Scales Middle Aged: 45-64 years Male Female ab: Purpose: Identify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes.Methods: Patients with GI cancers (n = 399) completed the Memorial Symptom Assessment Scale (MSAS) that was used to assess for multiple co-occurring symptoms. Latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles using symptom occurrence ratings. Differences in demographic and clinical characteristics and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests.Results: All Low (36.6%), Moderate (49.4%), and All High (14.0%) classes were identified. Compared to the All Low class, patients in the other two classes were significantly younger and were more likely to report depression and back pain. Compared to the other two classes, patients in the All High class had fewer years of education and a higher number of comorbidities. Significant differences were found among the three classes for comorbidity burden and total number of MSAS symptoms (i.e., All Low < Moderate < All High), as well as for performance status (i.e., All Low > Moderate > All High). A higher symptom burden was associated with poorer QOL outcomes.Conclusions: The first study to identify subgroups of patients with GI cancers based on distinct symptom profiles. LCA allowed for the identification of risk factors associated with a higher symptom burden. Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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