Publications

PURPOSE

The purposes of this study, in a sample of women with breast cancer receiving chemotherapy (CTX), were to identify subgroups of women with distinct experiences with the symptom cluster of pain, fatigue, sleep disturbance, and depressive symptoms and evaluate differences in demographic and clinical characteristics, differences in psychological symptoms, and differences in pain characteristics among these subgroups.

METHODS

Patients completed symptom questionnaires in the week following CTX administration. Latent class profile analysis (LCPA) was used to determine the patient subgroups.

RESULTS

Three subgroups were identified: 140 patients (35.8 %) in the "low," 189 patients (48.3 %) in the "moderate," and 62 patients (15.9 %) in the "all high" latent class. Patients in the all high class had a lower functional status, a higher comorbidity profile, a higher symptom burden, and a poorer quality of life.

CONCLUSIONS

Study findings provide evidence of the utility of LCPA to explain inter-individual variability in the symptom experience of patients undergoing CTX. The ability to characterize subgroups of patients with distinct symptom experiences allows for the identification of high-risk patients and may guide the design of targeted interventions that are tailored to an individual's symptom profile.

Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk. The research conducted by MD2K is targeted at improving health through early detection of adverse health events and by facilitating prevention. MD2K will make its tools, software, and training materials widely available and will also organize workshops and seminars to encourage their use by researchers and clinicians.