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Impact of worst pain severity and morning fatigue profiles on oncology outpatients' symptom burden and quality of life.
Bouvron, Brittany; Mackin, Lynda; Kober, Kord M; Paul, Steven M; Cooper, Bruce A; Conley, Yvette P; Hammer, Marilyn J; Wright, Fay; Levine, Jon D; Miaskowski, Christine.
Afiliación
  • Bouvron B; School of Nursing, University of California, San Francisco, CA, USA.
  • Mackin L; School of Nursing, University of California, San Francisco, CA, USA.
  • Kober KM; School of Nursing, University of California, San Francisco, CA, USA.
  • Paul SM; School of Nursing, University of California, San Francisco, CA, USA.
  • Cooper BA; School of Nursing, University of California, San Francisco, CA, USA.
  • Conley YP; School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
  • Hammer MJ; Dana-Farber Cancer Institute, Boston, MA, USA.
  • Wright F; Rory Meyers College of Nursing, New York University, New York, NY, USA.
  • Levine JD; School of Medicine, University of California, San Francisco, CA, USA.
  • Miaskowski C; School of Nursing, University of California, San Francisco, CA, USA. chris.miaskowski@ucsf.edu.
Support Care Cancer ; 30(12): 9929-9944, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36355215
ABSTRACT

PURPOSE:

Pain and fatigue are common symptoms in oncology patients. In a sample of oncology outpatients receiving chemotherapy (n = 1342), the study purposes were to identify subgroups of patients with distinct worst pain and morning fatigue profiles and evaluate for differences among the subgroups in demographic and clinical characteristics, as well as the severity of common symptoms and quality of life (QOL) outcomes.

METHODS:

Oncology outpatients receiving chemotherapy (n = 1342) completed self-report questionnaires to assess pain and morning fatigue, a total of six times over two cycles of chemotherapy. Joint latent profile analysis was used to identify subgroups of patients with distinct pain and morning fatigue profiles. Differences among the classes were evaluated using parametric and non-parametric tests.

RESULTS:

Five distinct profiles were identified (no pain and low morning fatigue (27.6%), moderate pain and low morning fatigue (28.2%), moderate pain and morning fatigue (28.0%), moderate pain and increasing and decreasing morning fatigue (6.9%), severe pain and very high morning fatigue (9.3%)). Patients with the three worst profiles had clinically meaningful levels of depression and sleep disturbance and decrements in QOL.

CONCLUSIONS:

Over 44% of the sample had moderate to high levels of both pain and morning fatigue. Unrelieved pain may contribute to disturbed sleep which results in higher levels of morning fatigue. Clinicians need to assess for pain and fatigue, as well as sleep disturbance during chemotherapy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos del Sueño-Vigilia / Neoplasias Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Support Care Cancer Asunto de la revista: NEOPLASIAS / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos del Sueño-Vigilia / Neoplasias Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Support Care Cancer Asunto de la revista: NEOPLASIAS / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos