60 research outputs found

    Quality of life and symptom intensity over time in people with cancer receiving palliative care : results from the international European Palliative Care Cancer Symptom study

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    Background People with advanced cancer experience multiple symptoms during their illness trajectory, which can fluctuate in intensity. Aim To describe the course of self-reported quality of life, emotional functioning, physical functioning and symptom intensity over time in cancer patients receiving palliative care. Design Longitudinal study with monthly assessments, using the EORTC QLQ-C15-PAL. Data were analysed (1) prospectively, from baseline to >= 8-month follow-up; and (2) retrospectively, by taking death as index date and comparing results from three cross-sectional subsamples at different stages of illness (time to death >= 6, 5-3 and 2-0 months). Linear mixed models were calculated. Setting/participants A total of 1739 patients (mean age 66, 50% male) from 30 palliative care centers in 12 countries were included. Results In prospective analyses, quality of life, functioning and symptoms-except nausea/vomiting-remained generally stable over time. In retrospective analyses, patients 2-0 months before death reported significantly lower quality of life and physical functioning scores than those 5-3 months before death, who in turn scored lower than those >= 6 months before death, suggesting progressive decline. Emotional functioning remained initially unchanged, but decreased in the last months. Pain, fatigue and appetite loss showed a stable increase in intensity towards death. Dyspnea, insomnia and constipation increased from 5-3 to 2-0 months before death. Nausea/vomiting only increased when comparing those >= 6 months before death with those 2-0 months before death. Conclusion While the prospective approach showed predominantly stable patterns for quality of life, functioning and symptom severity throughout study duration, retrospective analyses indicated that deterioration was already apparent before the terminal phase and accelerated close to death. Our findings support the importance of early symptom identification and treatment in this population, and highlight the need for further studies to explore what characterizes those with either lower or higher symptom burden at different time points towards death

    Measurements of body fat is associated with markers of inflammation, insulin resistance and lipid levels in both overweight and in lean, healthy subjects

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    Background & aims: Low-grade inflammation is associated with fat mass in overweight. Whether this association exists in lean persons is unknown. Aims were to investigate associations between anthropometric measures of fat distribution and fat mass (% and kg) assessed by bioelectrical impedance analysis (BIA). Furthermore we wanted to investigate the relationship between fat mass and markers of insulin resistance, inflammation, and lipids in healthy subjects in different BMI categories. Methods: We compared 47 healthy overweight adults (BMI 26e40 kg/m2) and 40 lean (BMI 17e25 kg/ m2) matched for age and sex. Waist and hip circumferences, waist-to-hip ratio, waist-to-height ratio and triceps skinfold were used to evaluate fat distribution. BIA was used to estimate fat mass (% and kg). Markers of insulin resistance, lipids, inflammation and adipokines were measured. Results: Hip circumference was associated (P < 0.01) with BIA-assessed fat mass (%) in both groups (lean: regression coefficient B ¼ 0.4; overweight: B ¼ 0.5). An increase in hip circumference in all tertiles was associated with higher plasma levels of leptin, CRP and C-peptide in both groups. Conclusions: Fat mass may play a role in low-grade inflammation also in subjects within the normal range of BMI. Hip circumference may be a surrogate measure for fat mass in subjects in different BMI categories, and may be useful for identification of people with risk of developing overweight-related chronic disease

    Quality of Life in Patients With Advanced Cancer: Differential Association With Performance Status and Systemic Inflammatory Response

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    Purpose: Quality of life is a key component of cancer care; however, the factors that determine quality of life are not well understood. The aim of this study was to examine the relationship between quality of life parameters, performance status (PS), and the systemic inflammatory response in patients with advanced cancer. Methods: An international biobank of patients with advanced cancer was analyzed. Quality of life was assessed at a single time point by using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C-30 (EORTC QLQ-C30). PS was assessed by using the Eastern Cooperative Oncology Group (ECOG) classification. Systemic inflammation was assessed by using the modified Glasgow Prognostic Score (mGPS), which combines C-reactive protein and albumin. The relationship between quality of life parameters, ECOG PS, and the mGPS was examined. Results: Data were available for 2,520 patients, and the most common cancers were GI (585 patients [22.2%]) and pulmonary (443 patients [17.6%]). The median survival was 4.25 months (interquartile range, 1.36 to 12.9 months). Increasing mGPS (systemic inflammation) and deteriorating PS were associated with deterioration in quality-of-life parameters (P &lt; .001). Increasing systemic inflammation was associated with deterioration in quality-of-life parameters independent of PS. Conclusion: Systemic inflammation was associated with quality-of-life parameters independent of PS in patients with advanced cancer. Further investigation of these relationships in longitudinal studies and investigations of possible effects of attenuating systemic inflammation are now warranted

    A prospective study examining cachexia predictors in patients with incurable cancer

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    © 2019 The Author(s). Background: Early intervention against cachexia necessitates a predictive model. The aims of this study were to identify predictors of cachexia development and to create and evaluate accuracy of a predictive model based on these predictors. Methods: A secondary analysis of a prospective, observational, multicentre study was conducted. Patients, who attended a palliative care programme, had incurable cancer and did not have cachexia at baseline, were amenable to the analysis. Cachexia was defined as weight loss (WL) > 5% (6 months) or WL > 2% and body mass index< 20 kg/m2. Clinical and demographic markers were evaluated as possible predictors with Cox analysis. A classification and regression tree analysis was used to create a model based on optimal combinations and cut-offs of significant predictors for cachexia development, and accuracy was evaluated with a calibration plot, Harrell's c-statistic and receiver operating characteristic curve analysis. Results: Six-hundred-twenty-eight patients were included in the analysis. Median age was 65 years (IQR 17), 359(57%) were female and median Karnofsky performance status was 70(IQR 10). Median follow-up was 109 days (IQR 108), and 159 (25%) patients developed cachexia. Initial WL, cancer type, appetite and chronic obstructive pulmonary disease were significant predictors (p ≤ 0.04). A five-level model was created with each level carrying an increasing risk of cachexia development. For Risk-level 1-patients (WL < 3%, breast or hematologic cancer and no or little appetite loss), median time to cachexia development was not reached, while Risk-level 5-patients (WL 3-5%) had a median time to cachexia development of 51 days. Accuracy of cachexia predictions at 3 months was 76%. Conclusion: Important predictors of cachexia have been identified and used to construct a predictive model of cancer cachexia. Trial registration: ClinicalTrials.gov Identifier: NCT01362816

    Depression - A Major Contributor to Poor Quality of Life in Patients With Advanced Cancer

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    This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Context Quality of life (QoL) and depression are important patient-reported outcomes in cancer care. However, the relative importance of depression severity in predicting QoL remains unclear because of few methodologically sound studies. Objectives To examine whether depression contributes to impairment of QoL irrespective of prognostic factors and symptom burden. Methods A total of 563 patients were included from the European Palliative Care Research Collaborative–Computerized Symptom Assessment Study, an international, multi-center, cross-sectional study. The relative importance of prognostic factors (systemic inflammation [modified Glasgow Prognostic Score—mGPS]), co-morbidities and physical performance (Karnofsky Performance Status), symptom burden (loss of appetite, breathlessness, nausea [Edmonton Symptom Assessment Scale], and pain [Brief Pain Inventory]), and depression severity (Patient Health Questionnaire 9) in predicting Global Health/QoL (European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire [EORTC-QLQ-C30]) were assessed using hierarchical multiple regression models. Results Fifty-five percent were women, median age was 64 years, 87% had metastatic disease, median Karnofsky Performance Status was 70, and mean global QoL was 50.5 (SD = 23.3). Worse QoL was associated with increased systemic inflammation (mGPS = 1 β = −0.12, P = 0.003; mGPS = 2 β = −0.09, P = 0.023), lower physical performance (β = 0.17, P < 0.001), reduced appetite (β = −0.15, P < 0.001), breathlessness (β = −0.11, P = 0.004), pain (β = −0.14, P = 0.002), and higher depression severity (β = −0.27, P < 0.001). The full model accounted for 29% of the observed variance in QoL scores. The strongest predictor was depression severity, accounting for 5.8% of the variance. Conclusion Depression severity was the strongest single predictor of poorer QoL in this sample of patients with advanced cancer, after accounting for a wide range of clinically relevant variables. Future studies should investigate the contribution of psychosocial variables on QoL. Our findings emphasize the importance of managing depression to achieve the best possible QoL for these patients

    Physical activity in Hodgkin's lymphoma survivors with and without chronic fatigue compared with the general population – a cross-sectional study

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    <p>Abstract</p> <p>Background</p> <p>Hodgkin's lymphoma survivors (HLSs) commonly report chronic fatigue, defined as high levels of fatigue for 6 months or more. Underlying mechanisms are poorly understood. Based upon knowledge from other populations, lifestyle parameters may be related to this increased and persistent fatigue. The primary objective of the present study was to assess self-reported levels of physical activity, smoking habits and sleep patterns in HLSs with and without chronic fatigue. The secondary objective was to compare these results with data from age and gender adjusted data from the general population (Gen-Pop).</p> <p>Methods</p> <p>The Fatigue Questionnaire (FQ) and questions about daily smoking, sleep patterns and level of physical activity were completed by 476 HLSs treated at Rikshospitalet-Radiumhospitalet Trust (RR). The Gen-Pop data was derived from 56.999 inhabitants in a Norwegian county responding to a mail survey. Fischer's exact test, chi square test and t-tests were used to compare groups. P-values < .05 were considered statistically significant. A logistic regression analysis was performed in comparing the Gen-Pop with the HLSs.</p> <p>Results</p> <p>Level of physical activity, smoking habits and sleep patterns did not differ significantly between HLSs with and without chronic fatigue. The multivariate logistic regression analysis adjusting for different covariates, showed significantly more physically active men among HLSs compared with the Gen-Pop (OR = 1.50, CI 1.04 – 2.17), p = .031. No significant difference was found among females (OR = 1.20, CI = 0.83 – 1.74), p = .33.</p> <p>Conclusion</p> <p>Lifestyle parameters did not seem to be related to increased and persistent fatigue among HLSs. The results may indicate that the experience of Hodgkin's lymphoma increases the level of physical activity among male HLSs.</p
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