Prognostic value of quality of life scores in terminal cancer patients

Association between attendance at a specialist palliative care day unit and improvement in patient symptoms and quality of life

BACKGROUND

Specialist palliative day care is an area of palliative care which has a notable scarcity of research. Evidence is needed on the role of palliative day care to improve patients' quality of life and symptom management, while recognising the different patient cohorts that use the service.

AIM

To determine the symptoms and quality of life of the patient cohort that are affected by the completion of a full therapeutic cycle (8 to 9 weeks) at a specialist palliative care day unit (SPCDU).

METHOD

A retrospective cohort study was carried out from January 2016 to December 2017. Patient related outcome measures (PROMs) were collected as part of routine clinical paperwork at admission and discharge, and these were used to determine symptoms and quality of life pre-attendance and on completion of an 8 to 9 week therapeutic cycle at the SPCDU.

RESULTS

Descriptive analysis demonstrated improvement across the many symptoms that were analysed. Quality of life analysis also established improvement. Statistically significant difference was achieved in several areas. Total physical symptoms (p value=.009) confirmed the positive impact attendance at SPCDU has on physical symptoms. Specific symptoms which displayed a statistically significant difference included: poor appetite (p value=.002), weakness (p value=.03) and the anxiety felt by family/friends (p value=.029). The quality of a patient's life also displayed statistically significant difference (p value=.000).

CONCLUSION

This study demonstrates that attendance at a SPCDU may positively impact a patients' symptoms and quality of life. A more uniform national approach to specialist palliative day care delivery, alongside multi-setting research, may further bolster the image of palliative day care. This will improve referrals to and occupancy of SPDCUs and benefit the palliative patient in the community.

Patient-reported symptoms and problems at admission to specialized palliative care improved survival prediction in 30,969 cancer patients: A nationwide register-based study

BACKGROUND

Large, nationally representative studies of the association between quality of life and survival time in cancer patients in specialized palliative care are missing.

AIM

The aim of this study was to investigate whether symptoms/problems at admission to specialized palliative care were associated with survival and if the symptoms/problems may improve prediction of death within 1 week and 1 month, respectively.

SETTING/PARTICIPANTS

All cancer patients who had filled in the EORTC QLQ-C15-PAL at admission to specialized palliative care in Denmark in 2010-2017 were included through the Danish Palliative Care Database. Cox regression was used to identify clinical variables (gender, age, type of contact (inpatient vs outpatient), and cancer site) and symptoms/problems significantly associated with survival. To test whether symptoms/problems improved survival predictions, the overall accuracy (area under the receiver operating characteristic curve) for different prediction models was compared. The validity of the prediction models was tested with data on 5,508 patients admitted to palliative care in 2018.

RESULTS

The study included 30,969 patients with an average age of 68.9 years; 50% were women. Gender, age, type of contact, cancer site, and most symptoms/problems were significantly associated with survival time. The predictive value of symptoms/problems was trivial except for physical function, which clearly improved the overall accuracy for 1-week and 1-month predictions of death when added to models including only clinical variables.

CONCLUSION

Most symptoms/problems were significantly associated with survival and mainly physical function improved predictions of death. Interestingly, the predictive value of physical function was the same as all clinical variables combined (in hospice) or even higher (in palliative care teams).

Systematic Review of the Prevalence, Predictors, and Treatment of Insomnia in Palliative Care

Introduction:

The primary function of palliative care is to improve quality of life. The recognition and treatment of symptoms causing suffering is central to the achievement of this goal. Insomnia reduces quality of life of patients under palliative care. Knowledge about prevalence, associated factors, and treatment of insomnia in palliative care is scarce.

Methodology:

Literature review about the prevalence, predictors, and treatment options of insomnia in palliative care patients. Primary sources of investigation were identified and selected through Pubmed and Scopus databases. The research was complemented by reference search in identified articles and selected reviews. OpenGrey and Google Scholar were used for searching grey literature. Study quality analysis was based on the Newcastle-Ottawa Scale.

Results:

A total of 65 studies were included in the review. Most studies had acceptable /good quality. The prevalence of insomnia in the included studies ranged from 2.1% to 100%, with a median overall prevalence of 49.5%. Sociodemographic factors such as age; clinical characteristics such as functional status, disease stage, pain, and use of specific drugs, including opioids; psychological factors such as anxiety/depression; and spiritual factors such as feelings of well-being were identified as predictors. The treatment options identified were biological (pharmacological and nonpharmacological), psychological (visualization, relaxation), and spiritual (prayer).

Conclusions:

The systematic review showed that the prevalence of insomnia is high, with at least one in 3 patients affected in most studies. Insomnia’s risk factors and treatment in palliative care are both associated to physical, psychological, social, and spiritual factors, reflecting its true holistic nature.

Validation of the Korean Version of the McMaster Quality of Life Scale in Terminal Cancer Patients

The purpose of this study was to develop and validate a Korean version of McMaster Quality of Life Scale (K-MQLS) suitable for evaluating clinical hospice and palliative care. The McMaster Quality of Life Scale (MQLS) is a brief and comprehensive scale that is used to assess cancer patients receiving palliative care due to poor physical condition. To further develop the K-MQLS, we followed rigorous international translation steps and performed validity, reliability, and sensitivity analyses. The results of our study show that the K-MQLS is an efficient tool in terms of its validity, reliability, and sensitivity for the measurement of the health-related quality of life during the palliative phase. This developed tool could be used in research or clinical settings to assess health-related quality of life in Korean palliative care patients.

A systematic review of prognostic factors at the end of life for people with a hematological malignancy

Background

Accurate prognosticating is needed when patients are nearing the end of life to ensure appropriate treatment decisions, and facilitate palliative care provision and transitioning to terminal care. People with a hematological malignancy characteristically experience a fluctuating illness trajectory leading to difficulties with prognosticating. The aim of this review was to identify current knowledge regarding ‘bedside’ prognostic factors in the final 3 months of life for people with a hematological malignancy associated with increased risk of mortality.

Methods

A systematic review of the literature was performed across: PubMed; CINAHL; PsycINFO; and Cochrane with set inclusion criteria: 1) prognostic cohort studies; 2) published 2004–2014; 3) sample ≥ 18 years; 4) >50% sample had a hematological malignancy; 5) reported ‘bedside’ prognostic factors; 6) median survival of <3 months; and 7) English language. Quality appraisal was performed using the Quality In Prognostic Studies (QUIPS) tool. Results are reported in line with PRISMA guidelines.

Results

The search returned 4860 studies of which 28 met inclusion criteria. Twenty-four studies were rated moderate quality, three were high quality and one study was deemed to be of low quality. Most studies were set in the ICU (n = 24/28) and were retrospective (n = 25/28). Forty ‘bedside’ prognostic factors were identified as associated with increased risk of mortality encompassing the following broad categories: 1) demographics; 2) physiological complications or conditions; 3) disease characteristics; 4) laboratory blood values; and 5) interventions.

Conclusions

The literature on prognosticating in the final months of life was predominantly focused on people who had experienced acute physiological deterioration and were being treated aggressively in the in-patient setting. A significant gap in the literature exists for people who are treated less aggressively or are on a palliative trajectory. Findings did not report on, or confirm the significance of, many of the key prognostic factors associated with increased risk of mortality at the end of life in the solid tumour population, demonstrating key differences in the two populations.

Trial registration

This systematic review was not registered.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-017-3207-7) contains supplementary material, which is available to authorized users.

The Relationship Between Health-Related Quality of Life and Survival in Metastatic Colorectal Cancer Patients Treated With Korean Medicine

OBJECTIVES

This study aimed to identify the relationship between health-related quality of life (HRQoL) measured by the Functional Assessment Cancer Therapy-General (FACT-G) and survival in metastatic colorectal cancer (mCRC) patients.

METHODS

The clinical characteristics and FACT-G scores were retrospectively reviewed in mCRC patients who visited the Cancer Center of Korean Medicine. The overall survival (OS) was calculated and compared using the Kaplan-Meier method and log-rank test. Univariate and multivariate Cox regression analyses were performed based on clinical characteristics and FACT-G scores. To identify significant differences in answer frequency, χ² tests and Fisher's exact tests were used.

RESULTS

A total of 58 patients were reviewed. The proportion of patients who had an Eastern Cooperative Oncology Group-Performance Status ≥ 2 was 43.1%, multiple distant metastatic sites was 77.6%, liver metastases was 43.1%, been previously treated was 89.7%, and received more than the second-line chemotherapy was 75.5%. The mean total FACT-G score was 65.3 (median 65.6). The median OS was 7 months. There was no significant difference in OS between the 2 groups divided by the median values of FACT-G total and subscores. In univariate analyses, functional well-being (FWB) score had a significant impact on survival. In multivariate analyses, presence of liver metastasis, FACT-G total score, and FWB score were significant prognostic predictors of survival. No statistically different answer frequency was observed for any question regarding FWB.

CONCLUSIONS

This study found that FACT-G total and FWB scores were potential prognostic factors for predicting OS in relapsed or refractory mCRC patients treated with Korean Medicine.

“Am I Going to Die Now?” Prognostication of Survival Time by Members of the Care Team

To get a real chance to make autonomous decisions in the final phase of their life, people who are soon going to die have a right to be informed concerning available knowledge about their prognosis and condition. The aim of this study is to describe how different members of the care team make prognostications about patients' survival time, and what motivates their prognostications. Doctors and registered nurses made prognostications to a greater extent, and were also somewhat more successful, than practical nurses and social workers. Different professions seem to differ in some respects concerning the criteria included in their motivations and the knowledge upon which they base their motivations.

Differences in food intake of tumour-bearing cachectic mice are associated with hypothalamic serotonin signalling

BACKGROUND

Anorexia is a common symptom among cancer patients and contributes to malnutrition and strongly impinges on quality of life. Cancer-induced anorexia is thought to be caused by an inability of food intake-regulating systems in the hypothalamus to respond adequately to negative energy balance during tumour growth. Here, we show that this impaired response of food-intake control is likely to be mediated by altered serotonin signalling and by failure in post-transcriptional neuropeptide Y (NPY) regulation.

METHODS

Two tumour cachectic mouse models with different food intake behaviours were used: a C26-colon adenocarcinoma model with increased food intake and a Lewis lung carcinoma model with decreased food intake. This contrast in food intake behaviour between tumour-bearing (TB) mice in response to growth of the two different tumours was used to distinguish between processes involved in cachexia and mechanisms that might be important in food intake regulation. The hypothalamus was used for transcriptomics (affymetrix chips).

RESULTS

In both models, hypothalamic expression of orexigenic NPY was significantly higher compared with controls, suggesting that this change does not directly reflect food intake status but might be linked to negative energy balance in cachexia. Expression of genes involved in serotonin signalling showed to be different between C26-TB mice and Lewis lung carcinoma-TB mice and was inversely associated with food intake. In vitro, using hypothalamic cell lines, serotonin repressed neuronal hypothalamic NPY secretion while not affecting messenger NPY expression, suggesting that serotonin signalling can interfere with NPY synthesis, transport, or secretion.

CONCLUSIONS

Altered serotonin signalling is associated with changes in food intake behaviour in cachectic TB mice. Serotonins' inhibitory effect on food intake under cancer cachectic conditions is probably via affecting the NPY system. Therefore, serotonin regulation might be a therapeutic target to prevent the development of cancer-induced eating disorders.

Are there differences in the prevalence of palliative care-related problems in people living with advanced cancer and eight non-cancer conditions? A systematic review

CONTEXT

If access to effective palliative care is to extend beyond cancer patients, an understanding of the comparative prevalence of palliative care problems among cancer and non-cancer patients is necessary.

OBJECTIVES

This systematic review aimed to describe and compare the prevalence of seventeen palliative care-related problems across the four palliative care domains among adults with advanced cancer, acquired immune deficiency syndrome, chronic heart failure, end-stage renal disease (ESRD), chronic obstructive pulmonary disease, multiple sclerosis, motor neuron disease, Parkinson's disease, and dementia.

METHODS

Three databases were searched using three groups of keywords. The results of the extraction of the prevalence figures were summarized.

RESULTS

The electronic searches yielded 4697 hits after the removal of 1784 duplicates. Of these hits, 143 met the review criteria. The greatest number of studies were found for advanced cancer (n=57) and ESRD patients (n=47), and 75 of the 143 studies used validated scales. Few data were available for people living with multiple sclerosis (n=2) and motor neuron disease (n=3). The problems with a prevalence of 50% or more found across most of the nine studied diagnostic groups were: pain, fatigue, anorexia, dyspnea, and worry.

CONCLUSION

There are commonalities in the prevalence of problems across cancer and non-cancer patients, highlighting the need for palliative care to be provided irrespective of diagnosis. The methodological heterogeneity across the studies and the lack of non-cancer studies need to be addressed in future research.

Health-related quality of life as a prognostic factor in patients with advanced cancer

BACKGROUND

Evidence continues to accumulate regarding the association between health-related quality of life (HRQoL) and survival across chronic diseases. The objectives of the current study were to investigate the prognostic value of HRQoL in patients with hepatocellular carcinoma and cholangiocarcinoma after adjusting for sociodemographics, disease-related factors, and treatment-related factors.

METHODS

A total of 321 patients diagnosed with hepatocellular or cholangiocarcinoma were administered the Functional Assessment of Cancer Therapy-Hepatobiliary instrument. Cox regression and Kaplan-Meier survival analyses were performed to test the association between the 5 domains of HRQoL and survival.

RESULTS

Using Cox regression, overall HRQoL was found to be significantly associated with survival (P = .003) after adjusting for demographics, disease-specific factors, and treatment. Subscales of the Functional Assessment of Cancer Therapy-Hepatobiliary, including the Physical Well-Being (P = .02) and the Symptoms and Side Effects subscales (P = .05), were also found to be significantly associated with survival after adjusting for demographics, disease-specific factors, and treatment.

CONCLUSIONS

HRQoL was found to be prognostic of survival in patients with hepatocellular and cholangiocarcinoma while covarying for demographics, disease-specific factors, and treatment. Stratifying patients based on HRQoL when testing novel treatments may be recommended. Health-related quality of life was found to be prognostic of survival in patients with hepatocellular and cholangiocarcinoma while controlling for demographics, disease-specific factors, and treatment-related factors.

Validation of a palliative prognostic index to predict life expectancy for terminally ill cancer patients in a hospice consultation setting in Taiwan

BACKGROUND

The aim of our study was to assess the practical utility of the palliative prognostic index (PPI) as a prognostic tool used by nurse specialists in a hospice consultation setting in Taiwan.

METHODS

In total, 623 terminal cancer patients under hospice consultation care from one medical center in northern Taiwan were enrolled between January 1 and June 30, 2011. PPI was assessed by a nurse specialist at first hospice consultation and patients categorized into groups by prognosis (good, intermediate, poor). Patient survival was analyzed retrospectively to determine significance of between-group differences.

RESULTS

By PPI sum score, 37.2% of patients were in the good prognosis group, 18% in the intermediate prognosis group and 44.8% in the poor prognosis group. The death rates were 56%, 81.2% and 89.6% and median survivals were 76, 18 and 7 days, respectively. The hazard ratio was 0.19 (95% confidence interval [CI] 0.10-0.24, p<0.001) for the poor versus good prognosis group and 0.54 (95% CI 0.43-0.69, p<0.001) for the poor versus intermediate prognosis group. The sensitivity and specificity for the poor prognosis group was 66% and 71%; the positive predictive value and negative predictive value were 81% and 52%, respectively, to predict patient death within 21 days (area under the curve of the receiver operating characteristic was 0.68).

CONCLUSIONS

Assessment by PPI can accurately predict survival of terminal cancer patients receiving hospice consultation care. PPI is a simple tool and can be administered by nurse members of hospice consultation teams.

The European organization for research and treatment of cancer quality of life questionnaire: implications for prognosis in pancreatic cancer

BACKGROUND

The goal of this study was to evaluate the association between patient quality of life (QoL) and survival in pancreatic cancer patients undergoing care in a community hospital comprehensive cancer center.

PATIENTS AND METHODS

A consecutive case series of 55 histologically confirmed pancreatic cancer treated at Cancer Treatment Centers of America® at Midwestern Regional Medical Center was studied between 04/01 and 11/04. The EORTC QLQ-C30 was utilized to assess patient QoL. Kaplan-Meier method was used to calculate survival. Log-rank test was used to study the equality of survival distributions. Multivariate Cox regression analyses were then performed to evaluate the joint prognostic significance of those QoL and clinical factors that were shown to be prognostic upon univariate analyses.

RESULTS

Of the 55 patients, 28 were newly diagnosed and 27 had prior treatment history. The median age was 55 years (range 33-74 years). Majority (34) had stage IV disease at diagnosis. The QLQ-C30 parameters to show statistically significant associations with survival were physical, role, and emotional functioning scales and fatigue, appetite loss, constipation, and diarrhea symptom scales.

CONCLUSIONS

We found that patient QoL, as measured by the QLQ-C30 physical functioning scale, provides useful prognostic information, independent of multiple cancer symptoms, in patients with pancreatic cancer. While these findings require further investigation in large patient cohorts, they may have important implications for patient stratification in clinical trials, as well as aid in clinical decision making.

The measurement of symptoms and side effects in clinical trials of chronic pain

Clinical trials in chronic pain have used various methods to assess the effect of medications. In addition to measuring symptom relief, researchers must also address adverse events (AEs) associated with the medication to evaluate overall therapeutic results. This paper reviews methods of measuring symptoms and AEs, including passive capture, scripted prompting, prospective assessments of side effects of interest, and prospective comprehensive symptom checklists. Methods of measuring therapeutic results have advantages and disadvantages. Although passive AE capture (unscripted, open-ended questions about symptoms) is not constrained by preconceptions of potential AEs, it sometimes fails to capture clinically significant AEs. Scripted prompting (prespecified, scripted, open-ended questions about symptoms) is likely to address the latter problem but preclude consistency across trials. Prospective assessments (prespecified symptom inventories) can offer greater sensitivity and consistency in detecting side effects of specific treatments. Comprehensive symptom distress inventories can be more sensitive measures of overall treatment benefit, which may be important when efficacy, passive AE capture, and comprehensive quality of life (QOL) batteries fail to differentiate between treatments. In cancer populations these inventories have been statistically correlated with survival and other important clinical outcomes, even after controlling for disease status, global QOL, psychological state, and performance status. Other important considerations are patient perceptions of the importance of symptoms, the correlations between QOL and symptom distress, and the usefulness of global ratings, in which patients integrate any perceived benefits of the medication with tolerability and other factors, such as convenience and cost.

Symptoms tell it all: a systematic review of the value of symptom assessment to predict survival in advanced cancer patients

PURPOSE

To determine the prognostic meaning of symptoms in patients with advanced cancer.

DESIGN

Medline, Embase, Cochrane and Cinahl databases were systematically explored. The predicting symptoms were also evaluated in the three stages of palliative care: disease-directed palliation, symptom-oriented palliation and palliation in the terminal stage.

RESULTS

Out of 3167 papers, forty-four papers satisfied all criteria. Confusion, anorexia, fatigue, cachexia, weight loss, cognitive impairment, drowsiness, dyspnea, dysphagia, dry mouth and depressed mood were associated with survival in ≥ 50% of the studies evaluating these symptoms. Multivariate analysis showed confusion, anorexia, fatigue, cachexia, weight loss, dyspnea and dysphagia as independent prognostic factors in 30-56% of the studies. In the stage of disease-directed palliation anorexia, cachexia, weight loss, dysphagia and pain and in the stage of symptom-oriented palliation confusion, fatigue, cachexia, weight loss, dyspnea, dysphagia and nausea were shown to be independent predictors of survival in >30% of the studies.

CONCLUSION

Symptoms with independent predictive value are confusion, anorexia, fatigue, cachexia, weight loss, dyspnea and dysphagia. New insights are added by the variance between the three palliative stages.

The prognostic role of quality of life assessment in breast cancer

While the use of quality of life (QoL) assessments has been increasing in oncology, few studies have examined the prognostic significance of QoL in breast cancer. We investigated the association between QoL at presentation and survival in breast cancer. We examined 1,511 breast cancer patients treated at two single-system cancer centers between January 2001 and December 2008. QoL was evaluated using the validated survey instrument EORTC-QLQ-C30. Patient survival was defined as the time interval between the date of first patient visit and the date of death from any cause/date of last contact. Univariate and multivariate Cox regression analyses were performed to evaluate the prognostic significance of QoL after controlling for the effects of age, tumor stage, and prior treatment history. Mean age at presentation was 52.5 years. There were 590 analytic and 921 non-analytic patients. Patient stage of disease at diagnosis was I, 335; II, 591; III, 290; IV, 159; and 136 indeterminate. Median overall survival was 32.8 months (95% CI: 27.6-38.0). On univariate analysis, QoL function and symptom scales that were predictive of survival were physical (p < 0.001), role (p < 0.001), cognitive (p = 0.003), social (p < 0.001), fatigue (p < 0.001), nausea/vomiting (p < 0.001), pain (p < 0.001), dyspnea (p < 0.001), loss of appetite (p < 0.001), and constipation (p < 0.001). On multivariate analyses, only role function (degree of impairment of work and/or leisure/hobby related activities) was significantly associated with survival. This study suggests that baseline QoL (in particular, the role function) provides useful prognostic information in breast cancer.

Quality of life assessment as a predictor of survival in non-small cell lung cancer

BACKGROUND

There are conflicting and inconsistent results in the literature on the prognostic role of quality of life (QoL) in cancer. We investigated whether QoL at admission could predict survival in lung cancer patients.

METHODS

The study population consisted of 1194 non-small cell lung cancer patients treated at our institution between Jan 2001 and Dec 2008. QoL was evaluated using EORTC-QLQ-C30 prior to initiation of treatment. Patient survival was defined as the time interval between the date of first patient visit and the date of death from any cause/date of last contact. Univariate and multivariate Cox regression evaluated the prognostic significance of QoL.

RESULTS

Mean age at presentation was 58.3 years. There were 605 newly diagnosed and 589 previously treated patients; 601 males and 593 females. Stage of disease at diagnosis was I, 100; II, 63; III, 348; IV, 656; and 27 indeterminate. Upon multivariate analyses, global QoL as well as physical function predicted patient survival in the entire study population. Every 10-point increase in physical function was associated with a 10% increase in survival (95% CI = 6% to 14%, p < 0.001). Similarly, every 10-point increase in global QoL was associated with a 9% increase in survival (95% CI = 6% to 11%, p < 0.001). Furthermore, physical function, nausea/vomiting, insomnia, and diarrhea (p < 0.05 for all) in newly diagnosed patients, but only physical function (p < 0.001) in previously treated patients were predictive of survival.

CONCLUSIONS

Baseline global QoL and physical function provide useful prognostic information in non-small cell lung cancer patients.

Predicting survival in prostate cancer: the role of quality of life assessment

Purpose

While the use of quality of life (QoL) assessment has been increasing in clinical oncology, few studies have examined its prognostic significance in prostate cancer. We investigated the association between QoL at presentation and survival in prostate cancer.

Methods

We retrospectively reviewed 673 patients treated at two single-system cancer centers between January 2001 and December 2008. QoL was evaluated using EORTC-QLQ-C30. Patient survival was defined as the time interval between the date of first patient visit and the date of death/date of last contact. Univariate and multivariate Cox regression was performed to evaluate the prognostic significance of QoL.

Results

Mean age at presentation was 63.2 years. Patient stage of disease at diagnosis was I, 4; II, 464; III, 76; IV, 107; and 22 indeterminate. Median overall survival was 89.1 months (95% CI: 46.1–132.0). QoL scales predictive of survival upon univariate analysis were physical, role, emotional, social, fatigue, nausea/vomiting, pain, dyspnea, insomnia, loss of appetite, and constipation (p < 0.01 for all). Multivariate analyses found fatigue (p = 0.02) and constipation (p = 0.01) to be significantly associated with survival.

Conclusions

Baseline QoL provides useful prognostic information in prostate cancer. These findings have important implications for patient stratification in clinical trials and may aid decision making in clinical practice.

Quality of life measures (EORTC QLQ-C30 and SF-36) as predictors of survival in palliative colorectal and lung cancer patients

OBJECTIVE

Self-reported health-related quality of life (HRQoL) is an important predictor of survival alongside clinical variables and physicians' prediction. This study assessed whether better prediction is achieved using generic (SF-36) HRQoL measures or cancer-specific (EORTC QLQ-C30) measures that include symptoms.

METHOD

Fifty-four lung and 46 colorectal patients comprised the sample. Ninety-four died before study conclusion. EORTC QLQ-C30 and SF-36 scores and demographic and clinical information were collected at baseline. Follow-up was 5 years. Deaths were flagged by the Office of National Statistics. Cox regression survival analyses were conducted. Surviving cases were censored in the analysis.

RESULTS

Univariate analyses showed that survival was significantly associated with better EORTC QLQ-C30 physical functioning, role functioning, and global health and less dyspnea and appetite loss. For the SF-36, survival was significantly associated with better emotional role functioning, general health, energy/vitality, and social functioning. The SF-36 summary score for mental health was significantly related to better survival, whereas the SF-36 summary score for physical health was not. In the multivariate analysis, only the SF-36 mental health summary score remained an independent, significant predictor, mainly due to considerable intercorrelations between HRQoL scales. However, models combining the SF-36 mental health summary score with diagnosis explained a similar amount of variance (12%-13%) as models combining diagnosis with single scale SF-36 Energy/Vitality or EORTC QLQ-C30 Appetite Loss.

SIGNIFICANCE OF RESULTS

HRQoL contributes significantly to prediction of survival. Generic measures are at least as useful as disease-specific measures including symptoms. Intercorrelations between HRQoL variables and between HRQoL and clinical variables makes it difficult to identify prime predictors. We need to identify variables that are as independent of each other as possible to maximize predictive power and produce more consistent results.

Quality of life data as prognostic indicators of survival in cancer patients: an overview of the literature from 1982 to 2008

BACKGROUND

Health-related quality of life and survival are two important outcome measures in cancer research and practice. The aim of this paper is to examine the relationship between quality of life data and survival time in cancer patients.

METHODS

A review was undertaken of all the full publications in the English language biomedical journals between 1982 and 2008. The search was limited to cancer, and included the combination of keywords 'quality of life', 'patient reported-outcomes' 'prognostic', 'predictor', 'predictive' and 'survival' that appeared in the titles of the publications. In addition, each study was examined to ensure that it used multivariate analysis. Purely psychological studies were excluded. A manual search was also performed to include additional papers of potential interest.

RESULTS

A total of 451 citations were identified in this rapid and systematic review of the literature. Of these, 104 citations on the relationship between quality of life and survival were found to be relevant and were further examined. The findings are summarized under different headings: heterogeneous samples of cancer patients, lung cancer, breast cancer, gastro-oesophageal cancers, colorectal cancer, head and neck cancer, melanoma and other cancers. With few exceptions, the findings showed that quality of life data or some aspects of quality of life measures were significant independent predictors of survival duration. Global quality of life, functioning domains and symptom scores - such as appetite loss, fatigue and pain - were the most important indicators, individually or in combination, for predicting survival times in cancer patients after adjusting for one or more demographic and known clinical prognostic factors.

CONCLUSION

This review provides evidence for a positive relationship between quality of life data or some quality of life measures and the survival duration of cancer patients. Pre-treatment (baseline) quality of life data appeared to provide the most reliable information for helping clinicians to establish prognostic criteria for treating their cancer patients. It is recommended that future studies should use valid instruments, apply sound methodological approaches and adequate multivariate statistical analyses adjusted for socio-demographic characteristics and known clinical prognostic factors with a satisfactory validation strategy. This strategy is likely to yield more accurate and specific quality of life-related prognostic variables for specific cancers.

Psychosocial QOL is an independent predictor of overall survival in newly diagnosed patients with multiple myeloma

Only few studies have analyzed quality of life (QOL) and its association with prognosis in patients with multiple myeloma. We studied QOL at start of conventional treatment to evaluate the impact of symptomatic myeloma on QOL and to determine the prognostic significance of various dimensions of QOL. Our study provided further evidence of the significant impairment of QOL in patients with multiple myeloma at onset of therapy. Furthermore, our data showed a closer correlation between the more physical QOL scales such as pain, fatigue, physical functioning and global QOL with the activity of the disease than between psychosocial dimensions such as role, emotional, social, and cognitive functioning and the status of the disease. Multivariate analyses including each a QOL scale and known prognostic parameters (response to therapy, creatinine level, calcium, LDH, Hb, beta2-microglobulin, and albumin) revealed a marked difference in the prognostic significance between psychosocial and other QOL scales. All psychosocial dimensions of QOL were found to be independent prognostic factors, while physical QOL and global QOL were eliminated by disease-associated prognosticators. Taken together, QOL was found to be significantly impaired in myeloma patients at start of therapy. Psychosocial, but not physical dimensions of QOL were found to be independent prognostic factors.

Pain predicts overall survival in men with metastatic castration-refractory prostate cancer

PURPOSE

Pain from castration-refractory prostate cancer (CRPC) bone metastases is a common event. Although it is assumed that pain represents an adverse prognostic factor, this variable has not been extensively evaluated. The objective of this study was to determine whether men with CRPC who had higher pain interference scores at baseline had worse clinical outcomes compared with men who had lower pain scores.

PATIENTS AND METHODS

Data from three randomized phase III multicenter trials conducted by the Cancer and Leukemia Group B from 1992 to 1998 were combined. Eligible patients had progressive CRPC adenocarcinoma of the prostate, an Eastern Cooperative Oncology Group performance status of 0 to 2, and adequate hematologic, renal, and hepatic functions. Seven items from the Brief Pain Inventory were used to assess the impact of pain on a range of daily activities and quality of life, each rated on a scale from 0 to 10.

RESULTS

In 599 men, the median pain interference scores was 17 (interquartile range, 4 to 34), and 38% of the men had opioid analgesic use at baseline. There was a statistically significant association between pain interference scores and risk of death. The median survival times were 17.6 months (95% CI, 16.1 to 19.1 months) and 10.2 months (95% CI, 8.6 to 11.3 months; P < .001) in men with low (< 17) and high (>or= 17) pain scores, respectively. Pain was inversely associated with likelihood of prostate-specific antigen decline, objective response, and time to bone progression.

CONCLUSION

This analysis demonstrates that pain is a statistically significant predictor of overall survival in men with metastatic CRPC. These results need to be validated prospectively in future phase III trials.

Predicting survival in patients with advanced disease

Prognostication is an important clinical skill for all clinicians, particularly those clinicians working with patients with advanced cancer. However, doctors can be hesitant about prognosticating without a fundamental understanding of how to formulate a prognosis more accurately and how to communicate the information with honesty and compassion. Irrespective of the underlying type of malignancy, most patients with advanced cancer experience a prolonged period of gradual decline (months/years) before a short phase of accelerated decline in the last month or two. The main indicators of this final phase are poor performance status, weight loss, symptoms such as anorexia, breathlessness or confusion and abnormalities on laboratory parameters (e.g. high white cell count, lymphopaenia, hyopalbuminaemia, elevated lactate dehydrogenase or C-reactive protein). The clinical estimate of survival remains a powerful independent prognostic indicator, often enhanced by experience, but research has only begun to understand the different biases affecting clinicians' estimates. More recent research has shown probabilistic predictions to be more accurate than temporal predictions. Simple, reliable and valid prognostic tools have been developed in recent years that can be used readily at the bedside of terminally ill cancer patients. The greatest accuracy occurs with the use of a combination of subjective prognostic judgements and objective validated tools. Communicating survival predictions is an important part of cancer care and guidelines exist for improving delivery of such information. Important cultural differences may influence communication strategies and should be recognised in clinical encounters. More well-designed studies of prognosis and its impact on decision making are needed. The benefits and limitations of prognostication should be considered in many clinical decisions.

Chemotherapy-Related Fatigue in Childhood Cancer: Correlates, Consequences, and Coping Strategies

The aim of this research is to examine the experience and impact of chemotherapy-related fatigue in recently diagnosed pediatric oncology patients. A repeated-measures, within-subjects, mixed (quantitative plus qualitative) design was used to prospectively assess fatigue during early chemotherapy cycles and to compare fatigue to depressive symptoms. Parental interviews collected concurrently were analyzed for descriptions of the child's fatigue and mood states and for strategies to cope with fatigue. Results indicated a significant correlation between fatigue and depression, but qualitative analyses suggested that the 2 phenomena may be unique and distinguishable. Qualitative analyses of parent interviews also identified specific strategies that were frequently used in response to high levels of fatigue. The findings illustrate the significant impact of chemotherapy-related fatigue in children being treated for cancer. The study also provides guidance for the assessment of fatigue and related symptoms and identifies specific strategies for coping with fatigue.

Symptoms and survival in patients with advanced disease

Predicting survival in patients with advanced disease is challenging for health care providers. Accurate survival estimation using symptom assessment may assist physicians and patients in determining treatment options. This report analyzes prospective studies in adult patients with a median/mean survival of 6 months or less and identifies symptoms that are associated with decreased survival. To be included in this analysis, a study needed to have at least one symptom associated with decreased survival in a univariate or multivariate analysis. Twenty-two studies were identified and 15 symptoms were associated with decreased survival. Anorexia, delirium, and dyspnea were associated with decreased survival in most studies. Delirium and anorexia (but not dyspnea) were associated with decreased survival in most studies that included patients with a median survival of 30 days or less. More research is needed to investigate any associations between symptom characteristics and survival in patients with advanced disease. Short assessment tools using symptoms identified in this report, with a focus on symptoms that were found in multiple studies, need to be developed to better predict survival and guide patient treatment.

Symptom prevalence in patients with incurable cancer: a systematic review

The suffering of patients with incurable cancer is determined to a large degree by the presence and intensity of the symptoms of their disease. Knowledge of symptom prevalence is important for clinical practice. The main aim of this study was to obtain a reliable estimation of symptom prevalence in patients with incurable cancer by performing a systematic review of studies assessing this topic. We included 44 studies (including 25,074 patients) on overall symptom prevalence (Group 1) and six studies (including 2,219 patients) on symptom prevalence during the last one to two weeks of life (Group 2). In these studies, symptom prevalence was assessed by a questionnaire, a standardized interview, or the medical record. We identified 37 symptoms assessed in at least five studies. Almost all symptoms occurred in more than 10% of the patients. Five symptoms (fatigue, pain, lack of energy, weakness, and appetite loss) occurred in more than 50% of the patients of Group 1. Weight loss occurred significantly more often in Group 2 compared to Group 1, and pain, nausea, and urinary symptoms occurred significantly less often. Generally, symptom prevalence was highest if assessed by a questionnaire. The results of this study should be used to guide doctors and nurses in symptom management. Proper attention to symptom burden and suffering should be the basis for individually tailored treatment aimed at improving or maintaining quality of life of patients in their last period of life.

Quality of life as a predictor of cancer survival among Chinese liver and lung cancer patients

The utility of quality of life (QoL) scores in predicting cancer survival remains inconclusive because of methodological and/or statistical heterogeneity. We examined whether QoL scores predicted survival among Chinese liver (n=176) and lung cancer (n=358) patients. Cox proportional hazards models examined if QoL and psychosocial variables predicted survival after fully adjusting for sociodemographic and clinical factors. The results showed that global QoL scores did not predict survival in either patient group. Less advanced cancer stage (HR=2.574, p<0.05) was associated with longer survival in liver cancer. Longer survival in lung cancer was predicted by younger age (HR=1.016, p<0.05), less advanced cancer stage (HR=1.978, p<0.001), having had treatment before baseline (HR=0.671, p<0.05), better physical well-being (HR=0.941, p<0.001) and better appetite (HR=0.888, p<0.001). Global QoL (FACT-G(Ch)) scores do not predict survival in Chinese liver and lung cancer patients. QoL physical well-being subscale predicted lung cancer survival.

The Prognostic Value of Measuring Health-Related Quality of Life in Hospice Patients

PURPOSE

Better prognostic instruments are sorely needed for patients near the end of life. Health-related quality of life instruments designed for hospice patients have not been previously studied for their prognostic properties. This study evaluated the prognostic property of the Missoula-Vitas Quality of Life Index (MVQOLI) with hospice patients.

METHODS

A prospective, cross-sectional cohort design included all consecutive patients admitted to a hospice over a 19-month period. At admission to hospice, patients were asked to complete an MVQOLI. In addition, hospice nurses completed three functional status instruments. All patients were followed until death, study closure, or loss to follow-up.

RESULTS

The sample included 1047 patients, but only 231 (22%) were able to complete an MVQOLI at admission. Functional status data were collected on nearly all of the patients. The Karnofsky performance score, modified activity of daily living score, and descriptive symptom score were significantly associated with survival time. Using Cox regression models these functional status assessments were strongly associated with survival time (p<0.001). However, the MVQOLI scores were not significantly associated with survival time, except for the function subscale (p=0.045).

CONCLUSION

The MVQOLI global, total, and four of the five weighted-domain baseline scores were not associated with survival time in hospice patients. Other methods for prognostication at the end of life are needed.

The prognostic association of health-related quality of life scores with survival in breast cancer

GOALS OF WORK

There is extensive data showing that health-related quality of life (HRQOL) tools measuring the activities of daily life provide prognostic information in cancer. However, similar information on HRQOL tools measuring patient satisfaction with their life is sparse. The Ferrans and Powers quality of life index (QLI) is one such instrument. This study evaluated the association between HRQOL, as measured by the QLI, and survival in breast cancer.

MATERIALS AND METHODS

We examined a consecutive case series of 251 histologically confirmed breast cancer patients treated at Cancer Treatment Centers of America(R) between April 2001 and November 2004. QLI measures overall HRQOL and the HRQOL in four major subscales: health and physical functioning, social and economic, psychological and spiritual, and family. All scores range from 0 to 30 with higher scores indicating a better HRQOL. Study patients were dichotomized into two groups based on the median scores for all QLI subscales. Kaplan-Meier method was used to calculate survival. Log-rank test was used to study the equality of survival distributions. Multivariate Cox regression analyses were then performed to evaluate the joint prognostic significance of HRQOL and clinical factors.

RESULTS

Patient satisfaction with health and physical subscale was significantly associated with survival (p = 0.0006), with the median survival for low and high scores being 17.8 and 35.3 months, respectively. Similarly, patient satisfaction with overall HRQOL was significantly associated with survival (p = 0.0006), with the median survival for low and high scores being 17.8 and 34.6 months, respectively. Patient satisfaction with health and physical subscale and overall HRQOL were found to be predictive of survival independent of the effects of stage at presentation.

CONCLUSIONS

This study suggests that baseline patient satisfaction with health and physical functioning and overall HRQOL, as measured by QLI, provides useful prognostic information in patients with breast cancer independent of stage at presentation.

Quality of life as a potential predictor for morbidity and mortality in patients with metastatic hormone-refractory prostate cancer

BACKGROUND

The association between HRQL measures with outcomes in patients with metastatic hormone-refractory prostate cancer (HRPC) is unclear.

METHODS

Baseline and 12-week HRQL was collected using the European Organization for Research and Treatment of Cancer (EORTC QLQ-C30) and the Functional Assessment of Cancer Therapy - Prostate (FACT-P). Outcomes included: (1) survival; (2) time to disease progression and (3) time to bone pain. Cox proportional hazards regression models were used. The relative predictive performance of each HRQL instrument and domain was compared.

RESULTS

Baseline HRQL scores and 12-week change scores > the median were significant predictors of all clinical outcomes but varied by domain. For example, the hazard of death for a change in FACT-P Grand Total Score > median was 49% of the hazard for a change < or = the median. Including baseline or 12-week change in HRQL resulted in improvement in prediction performance.

CONCLUSIONS

Patients with better baseline HRQL have better predicted survival, time to disease progression and pain prognosis than those with worse HRQL. In addition, the 12-week change in HRQL appears to improve predictive accuracy for most clinical outcomes. It appears that greater deterioration in HRQL is prognostic for rapid disease progression.

Megestrol acetate for the palliation of anorexia in advanced, incurable cancer patients

Anorexia, or loss of appetite, is a troubling symptom for many patients with advanced cancer. The early observation that breast cancer patients, who were prescribed megestrol acetate as a cancer treatment, went on to increase their appetite and gain weight has given rise to a large number of clinical trials that have tested this progestational drug as a palliative agent for the cancer anorexia/weight loss syndrome. This review focuses on these trials, summarizing their findings and providing a practical approach for prescribing megestrol acetate to advanced cancer patients who suffer from the cancer anorexia/weight loss syndrome.

Can patient satisfaction with quality of life predict survival in advanced colorectal cancer?

GOALS OF WORK

The goal of this study was to evaluate the association between patient satisfaction with quality of life (QoL) and survival in colorectal cancer patients undergoing care in a community hospital comprehensive cancer center.

MATERIALS AND METHODS

A consecutive case series of 177 cases of histologically confirmed colorectal cancer treated at Cancer Treatment Centers of America at Midwestern Regional Medical Center between April 2001 and November 2004. The quality of life index (QLI) was utilized to assess patient satisfaction with QoL. QLI measures global QoL and the QoL in four major subscales: health and physical functioning, social and economic, psychological/spiritual, and family. All scores range from 0 to 30 with higher scores indicating a better QoL. Kaplan-Meier method was used to calculate survival. Log-rank test was used to study the equality of survival distributions. Multivariate Cox regression analyses were then performed to evaluate the joint prognostic significance of those QoL and clinical factors that were shown to be prognostic in univariate analyses.

RESULTS

Of the 177 patients, 46 were newly diagnosed and 131 have treatment history. The median age was 53 years (range 25-85 years). Eight patients had stage I disease, 16 had stage II, 51 had stage III, and 77 had stage IV. Health and physical subscale was significantly associated with survival (p=0.0003), with the median survival for low scores being 8.3 and 20.6 months for high scores. Health and physical subscale was found to be predictive of survival independent of the effects of tumor stage at diagnosis and treatment history.

CONCLUSIONS

We found that baseline patient satisfaction with QoL, as measured by the QLI, provides useful prognostic information in patients with colorectal cancer independent of tumor stage at diagnosis and treatment history. While these findings require further investigation in large patient cohorts, they may have important implications for patient stratification in clinical trials and aid in clinical decision-making.

The clinical significance of quality of life assessments in oncology: a summary for clinicians

BACKGROUND

A series of six manuscripts with an introduction appeared in the Mayo Clinic Proceedings, based upon the collective effort of 30 individuals with an interest and expertise in assessing the clinical significance of quality of life (QOL) assessments. The series of manuscripts described the state of the science of QOL assessments in oncology clinical research and practice and included extensive literature and theoretical justification for the continued inclusion of QOL in oncology clinical research and practice.

OBJECTIVES

The purpose of this paper is to produce a summary of these articles and to supplement these works with additional information that was gleaned from subsequent meetings and discussions of this material. The primary aim of this paper is to present a cogent and concise description for clinicians to facilitate the incorporation of QOL assessments into oncology clinical research and practice. The theoretical discussion is supplemented with an example of how the various ideas can be operationalized in an oncology clinical trial.

Palliative performance status, heart rate and respiratory rate as predictive factors of survival time in terminally ill cancer patients

To determine which symptoms, signs, and characteristics that define the patient's functional status predict the survival time in terminally ill cancer patients, a prospective longitudinal study was conducted with terminally ill cancer patients followed by a Home Care Support Team. Patients were followed up with at least weekly visits until death, collecting variables at each visit. A Cox multivariate regression analysis took into account all the follow-ups in the same patient. Ninety-eight patients were studied, and 250 evaluations were done. The mean age was 72 years. The median survival was 32 days. In the multivariate analysis, three independent variables were identified: Palliative Performance Score of 50 or under, heart rate of 100/minute or more, and respiratory rate of 24/minute or more. The variables that were found to be prognostic in our study are objective, easy, and quick to measure, and do not require that the professional have special training or experience. The prediction of survival time may be improved by considering these variables.

A demographic and prognostic approach to defining the end of life

Studies examining individuals' preferences reflect a broad consensus that the end of life is a period during which medical care should be different from that in other periods in patients' lives. More specifically, patients, families, and health care providers believe that medical care during this unique period should be home-based and focused on ameliorating patient symptoms through minimally invasive means rather than hospital-based acute care, and focused on extending life through invasive approaches. Of great concern is that other, empirical research shows that there is a large disparity between these preferred types of medical care at the end of life and the actual patterns of medical care that is observed before death, with most patients dying in acute-care hospitals while receiving invasive therapies. Without prospective recognition of this period, medical care cannot be appropriately changed. Existing research suggests that there are few clinical tools available to health care providers to aid in making prognostic estimates. Opportunities for future research include efforts to improve the prospective identification of the end of life and communication about the end of life. Specifically, development of valid and reliable predictive algorithms to help patients, families, and health care providers to identify the beginning of the end of life would be welcomed and should ideally be focused at the population level to ensure wide applicability. Similarly, research that works to improve communication between patients and health care providers on the matter of prognosis is also needed.

Validation of the M.D. Anderson Symptom Inventory Brain Tumor Module (MDASI-BT)

BACKGROUND

Symptom occurrence has been shown to predict treatment course and survival in patients with solid tumors. Primary brain tumor (PBT) patients are unique in the occurrence of neurologic symptoms. Currently, no instrument exists that measures both neurologic and cancer-related symptoms.

METHODS

Patients diagnosed with PBT participated in this study. Data was collected at one point in time and included demographic and clinical factors, and the M.D. Anderson Symptom Inventory-Brain Tumor Module (MDASI-BT). The study evaluated the reliability and validity of the MDASI-BT in primary brain tumor patients.

RESULTS

Two hundred and one patients participated in this study. Mean symptom severity of items as well as cluster analysis was used to reduce the number of total items to 22 (13 core, 9 brain tumor items). Regression analysis showed more than half (56%) of the variability in symptom severity was explained by brain module items. The MDASI-BT measures six underlying constructs including affective, cognitive, focal neurologic deficit, constitutional, generalized symptom, and a gastrointestinal related factor. The internal consistency (reliability) of the instrument was 0.91. The MDASI-BT was sensitive to disease severity based on performance status (P<0.001), tumor recurrence (P<0.01), and mean symptom interference (P<0.001).

CONCLUSIONS

The 22 item MDASI-BT demonstrated validity and reliability in patients with PBT. This instrument can be used to identify symptom occurrence throughout the disease trajectory and to evaluate interventions designed for symptom management.

The Relationship Between Cognition and Mortality in Patients with Stroke, Coronary Heart Disease, or Cancer

Numerous studies have reported an association between cognitive impairment and an increased risk for mortality. Most results are from large epidemiological studies and control for medical conditions that may relate to cognitive decline, as well as an increased mortality risk. The aim of this review was to evaluate the association between cognitive performance and mortality within patient samples of stroke, cancer, or coronary heart disease. After reviewing the PubMed literature for articles on stroke, cancer, and cardiovascular related illnesses, 47 longitudinal studies were identified that met the cognition/mortality search criteria. In general, the results demonstrated that within the clinical groups studied, cognitive performance and cognitive impairment both predict mortality, although results were less consistent for coronary heart disease. This study adds further support for the ubiquity of the association of cognitive performance with health outcomes and mortality. Optimizing health has implications for both cognitive performance and longevity.

Clinically meaningful changes in health-related quality of life in patients diagnosed with hepatobiliary carcinoma

BACKGROUND

To test the reliability, sensitivity to change in biomarkers associated with disease progression and response to treatment, and clinical meaningfulness of the Functional Assessment of Cancer Therapy-Hepatobiliary (FACT-Hep) in patients with hepatobiliary carcinoma.

PATIENTS AND METHODS

One hundred and fifty-eight patients diagnosed with hepatobiliary carcinoma were prospectively studied. Health-related quality of life (HRQL) was assessed at baseline (prior to treatment), 3-month follow-up (n=55) and 6-month follow-up (n=27).

RESULTS

The internal consistency of all the scales of the FACT-Hep were adequate at all time points (>0.75). The FACT-Hep was found to be sensitive to changes in clinical indicators (alkaline phosphate, alpha-fetoprotein, hemoglobin and survival) that reflect disease progression and response to treatment. Combined results from distribution-based and cross-sectional anchor-based analyses provide the following minimally important difference (MID) estimates: FACT-General (FACT-G) subscales=2-3; FACT-G=6-7; Hepatobiliary Cancer Subscale=5-6; FACT-Hep=8-9; Trial Outcome Index=7-8; and FACT-Hepatobiliary Symptom Index=2-3 points.

CONCLUSIONS

The FACT-Hep is a reliable instrument that is responsive to clinical indicators of disease progression and response to treatment. The MID estimates can aid interpretation of HRQL data and facilitate sample size calculation in clinical trials.

EuroQol and survival prediction in terminal cancer patients: a multicenter prospective study in hospice-palliative care units

GOALS OF WORK

Although the EuroQol (EQ-5D) is widely used for economic evaluation, it remains unclear whether it can be combined with medical data to predict survival in patients with terminal cancer.

PATIENTS AND METHODS

We carried out this prospective study on 142 terminal cancer patients in four hospice-palliative care units. Association was sought between survival time and a range of variables such as cancer site, performance, previous treatment, age, sex, pain, and EuroQol. The EQ-5D was transformed into the corresponding EQ-5D utility. For univariate analysis, we estimated differences in survival with the Gehan generalized Wilcoxon test. For those variables that were significant, we performed multivariate analysis using the Cox proportional hazard model.

MAIN RESULTS

Univariate analysis showed that sex, age, performance, previous use of chemotherapy, and the EQ-5D utility provided statistically significant prognostic survival information. The median survival time was 13.0 days for the group with an EQ-5D utility score lower than -0.5 and 21.0 days for the group with an EQ-5D utility score above -0.5. In multivariate analysis with the Cox proportional hazard model, an EQ-5D utility score < or = 0.5 (RR 1.57, 95% confidence interval 1.06-2.33) was an independent negative predictor of survival.

CONCLUSIONS

The EQ-5D quality-of-life assessment tool might be useful for predicting survival time for terminal cancer patients.

Prognostic factors in advanced cancer patients: evidence-based clinical recommendations--a study by the Steering Committee of the European Association for Palliative Care

PURPOSE

To offer evidence-based clinical recommendations concerning prognosis in advanced cancer patients.

METHODS

A Working Group of the Research Network of the European Association for Palliative Care identified clinically significant topics, reviewed the studies, and assigned the level of evidence. A formal meta-analysis was not feasible because of the heterogeneity of published studies and the lack of minimal standards in reporting results. A systematic electronic literature search within the main available medical literature databases was performed for each of the following four areas identified: clinical prediction of survival (CPS), biologic factors, clinical signs and symptoms and psychosocial variables, and prognostic scores. Only studies on patients with advanced cancer and survival < or = 90 days were included.

RESULTS

A total of 38 studies were evaluated. Level A evidence-based recommendations of prognostic correlation could be formulated for CPS (albeit with a series of limitations of which clinicians must be aware) and prognostic scores. Recommendations on the use of other prognostic factors, such as performance status, symptoms associated with cancer anorexia-cachexia syndrome (weight loss, anorexia, dysphagia, and xerostomia), dyspnea, delirium, and some biologic factors (leukocytosis, lymphocytopenia, and C-reactive protein), reached level B.

CONCLUSION

Prognostication of life expectancy is a significant clinical commitment for clinicians involved in oncology and palliative care. More accurate prognostication is feasible and can be achieved by combining clinical experience and evidence from the literature. Using and communicating prognostic information should be part of a multidisciplinary palliative care approach.

Fish oil, lean tissue, and cancer: is there a role for eicosapentaenoic acid in treating the cancer anorexia/weight loss syndrome?

Eicosapentaenoic acid is an omega-3 fatty acid, a group of fatty acids characterized by a double bond that sits three carbons down from the n terminal of the molecule. Derived from dark, rich fish, eicosapentaenoic acid has received increasing attention as a therapy for the cancer anorexia/weight loss syndrome. Multiple studies, including laboratory and preliminary clinical studies suggest this fish oil derivative may benefit cancer patients. Recently, however, three large comparative studies suggest that eicosapentaenoic acid is relatively ineffective for treating this syndrome. In view of these recent results, the goals of this review are as follows: (1) to provide background on the mandate for further study of the cancer-associated anorexia/weight loss syndrome; (2) to review the preliminary data that have suggested that eicosapentaenoic acid is a promising agent for treating this syndrome; (3) to review the methodology and findings of the more recent, definitive clinical trials; (4) to discuss and speculate on why the earlier positive findings drew conclusions that are discrepant from the results of more recent comparative clinical studies.

Predicting survival in terminal cancer patients: clinical observation or quality-of-life evaluation?

INTRODUCTION

This study compares the relative prognostic power of clinical variables and quality-of-life (QoL) measures in a population of terminal cancer patients.

METHODS

A prospective cohort study in 58 Italian Palliative Care Units. Of the 601 randomly selected terminal cancer patients, 574 were followed until death in order to compare clinical and QoL variables (using the Therapy Impact Questionnaire (TIQ) as predictors of survival, and assess whether their combined implementation makes prediction more accurate.

RESULTS

The clinical variables most strongly associated with survival were dyspnoea, cachexia, Katz's ADL, oliguria, dysphagia, dehydration, liver and acute kidney failure and delirium (hazard ratios (HR) ranging from 2.10 to 3.01). Only the first four kept their strength once introduced in the Cox model (HRs ranging from 1.95 to 2.22). In the TIQ primary scale the strongest predictors were physical wellbeing, fatigue, functional status and cognitive status (HRs ranging from 1.42 to 1.71), but only fatigue showed an independent prognostic relevance (90% of selection). In the TIQ global scales, the Physical Symptom Index showed a stronger association with survival (HR 1.71) than the Therapy Impact Index (HR 1.47). The former marginally improved the prognostic power of the model when added to clinical variables. Internal validation confirmed that the results were not spurious.

CONCLUSIONS

In terminal cancer patients, clinical variables are better predictors of survival than QoL. The large residual variability not accounted for by the model (approximately 70%) suggests that survival is also influenced by factors unlikely to be identified in a survey.

Outcomes and Characteristics of Patients Discharged Alive from Hospice

OBJECTIVES

To describe outcomes and characteristics of patients discharged alive from hospice.

DESIGN

Prospective cohort study using a telephone survey.

SETTING

Hospices (n=18) participating in the Population-Based Palliative Care Research Network during the 1-year study period.

PARTICIPANTS

English-speaking adults (n=164) who were discharged alive from participating hospices during the 1-year study period.

MEASUREMENTS

Mortality within 6 months of hospice discharge.

RESULTS

Thirty-five percent (n=48) of the 139 patients with known outcomes died within 6 months of hospice discharge, 15 of whom (31%) died without hospice readmission. There were no significant associations between sex (P=.77), length of hospice service (P=.99), diagnosis (P=.73), discharge disposition (P=.54), admission evidence of prognosis of less than 6 months to live (P=.22-.95), Karnofsky score at admission or change between admission and discharge (P=.39, P=.38, respectively), or duration of hospice care after stabilization (P=.83) and mortality within 6 months after hospice discharge. Age (P=.11), discharge Karnofsky score (P=.17), and reason for discharge being improved or stabilized condition (P=.13) trended toward statistical significance. The strongest predictor of mortality after hospice discharge was a report that the patient's condition had worsened (hazard ratio=10.2, 95% confidence interval 4.5-23.4).

CONCLUSION

One-third of patients who were discharged from hospice died within 6 months of hospice discharge, indicating ongoing eligibility for hospice care even under the strictest interpretation of hospice eligibility criteria. Patients who are discharged from hospice care should be evaluated frequently, especially within the first weeks to months after discharge, for changes in status, unmet needs, and potential hospice readmission.

Complexities in prognostication in advanced cancer: "to help them live their lives the way they want to"

Predicting survival and disclosing the prediction to patients with advanced disease, particularly cancer, is among the most difficult tasks that physicians face. With the de-emphasis of prognosis in favor of diagnosis and therapeutics in the medical literature, physicians may have difficulty finding the survival information they need to make appropriate estimates of survival for patients who develop cancer. Quite separate from the challenge of estimating survival accurately, physicians may also find the process of disclosing the prognosis to their patients difficult. Using the vignette of a real patient with advanced cancer who far outlived her physician's prognostic estimate, we discuss clinical issues related to the science of prognosis in advanced cancer and the art of its disclosure.

Symptoms experience: a concept analysis

PURPOSE/OBJECTIVES

To provide a clearly constructed definition of the concept of symptoms experience.

DATA SOURCES

Articles and book chapters.

DATA SYNTHESIS

Symptoms experience has not been explored previously. Several approaches to the concept of symptoms have been addressed, including symptom occurrence, symptom distress, and unpleasant symptoms. Limitations of these approaches may include the lack of focus on symptoms as occurring concurrently or in clusters or the multiplicative nature of symptoms. In addition, situational and existential meaning often is not explored.

CONCLUSIONS

Symptoms experience is the perception of the frequency, intensity, distress, and meaning of symptoms as they are produced and expressed. Symptoms are multiplicative in nature and may act as catalysts for the occurrence of other symptoms. Antecedents to the symptoms experience include demographic, disease, and individual factors. Consequences include the impact on mood state, psychological status, functional status, quality of life, disease progression, and survival.

IMPLICATIONS FOR NURSING

Evaluation of symptoms in patients with cancer should include a meaning-centered approach, in which symptoms are evaluated not only for occurrence characteristics and perceived distress but also for the meaning of the symptoms experience to individuals.

Pain and health-related quality of life among cancer patients in final stage of life: a comparison between two palliative care teams

A two-centred descriptive study was performed in order to describe and compare pain and health-related quality of life (HRQOL) among cancer patients, in their final stage of life. The patients were cared for by either a nurse-led palliative care team I (PCT I) or a physician-led palliative care team II (PCT II). Forty-six consecutive, stratified patients (PCT I, n = 21 and PCT II, n = 25) participated. The medical outcomes study short form 36 (SF-36) was used for evaluating HRQOL and the Pain-O-Meter for assessing pain. Patients' pain intensity, pain quality and HRQOL showed no significant difference between the two groups PCT I and PCT II. The patients from PCT I had significantly longer survival time (P = 0.017) than those from PCT II. The different composition of the teams being led by nurses or physicians is worth further research; both from the patient's and staff's viewpoint, there may also be cost-benefits worth examining.

Multicollinearity in prognostic factor analyses using the EORTC QLQ-C30: identification and impact on model selection

Clinical and quality of life (QL) variables from an EORTC clinical trial of first line chemotherapy in advanced breast cancer were used in a prognostic factor analysis of survival and response to chemotherapy. For response, different final multivariate models were obtained from forward and backward selection methods, suggesting a disconcerting instability. Quality of life was measured using the EORTC QLQ-C30 questionnaire completed by patients. Subscales on the questionnaire are known to be highly correlated, and therefore it was hypothesized that multicollinearity contributed to model instability. A correlation matrix indicated that global QL was highly correlated with 7 out of 11 variables. In a first attempt to explore multicollinearity, we used global QL as dependent variable in a regression model with other QL subscales as predictors. Afterwards, standard diagnostic tests for multicollinearity were performed. An exploratory principal components analysis and factor analysis of the QL subscales identified at most three important components and indicated that inclusion of global QL made minimal difference to the loadings on each component, suggesting that it is redundant in the model. In a second approach, we advocate a bootstrap technique to assess the stability of the models. Based on these analyses and since global QL exacerbates problems of multicollinearity, we therefore recommend that global QL be excluded from prognostic factor analyses using the QLQ-C30. The prognostic factor analysis was rerun without global QL in the model, and selected the same significant prognostic factors as before.

A predictive model for survival in metastatic cancer patients attending an outpatient palliative radiotherapy clinic

PURPOSE

To develop a predictive model for survival from the time of presentation in an outpatient palliative radiotherapy clinic.

METHODS AND MATERIALS

Sixteen factors were analyzed prospectively in 395 patients seen in a dedicated palliative radiotherapy clinic in a large tertiary cancer center using Cox's proportional hazards regression model.

RESULTS

Six prognostic factors had a statistically significant impact on survival, as follows: primary cancer site, site of metastases, Karnofsky performance score (KPS), and fatigue, appetite, and shortness of breath scores from the modified Edmonton Symptom Assessment Scale. Risk group stratification was performed (1) by assigning weights to the prognostic factors based on their levels of significance, and (2) by the number of risk factors present. The weighting method provided a Survival Prediction Score (SPS), ranging from 0 to 32. The survival probability at 3, 6, and 12 months was 83%, 70%, and 51%, respectively, for patients with SPS <or=13 (n = 133); 67%, 41%, and 20% for patients with SPS 14-19 (n = 129); and 36%, 18%, and 4% for patients with SPS >or=20 (n = 133) (p < 0.0001). Corresponding survival probabilities based on number of risk factors were as follows: 85%, 72%, and 52% (<or=3 risk factors)(n = 98); 68%, 47%, and 24% (4 risk factors)(n = 117); and 46%, 24%, and 11% (>or=5 factors)(n = 180)(p < 0.0001).

CONCLUSION

Clinical prognostic factors can be used to predict prognosis among patients attending a palliative radiotherapy clinic. If validated in an independent series of patients, the model can be used to guide clinical decisions, plan supportive services, and allocate resource use.

Prognosis in advanced cancer

When considered with other parameters, prognostic factors of survival in far advanced cancer patients are necessary to enable the doctor, the patient, and his or her relative to choose the most suitable clinical management and care setting. Original studies and literature reviews, albeit with methodologic difficulties, have identified the most important prognostic factors as being: CPS, KPS, signs and symptoms relating to nutritional status (i.e., weight loss, anorexia, dysphagia, xerostomia), other symptoms (dyspnea, cognitive failure) and some simple biologic parameters (serum albumin level, number of white blood cells and lymphocyte ratio). Some authors have weighed the different impact of the most important prognostic factors and have integrated them into prognostic scores for clinical use. Despite the usefulness of these instruments, however, the communication of a poor prognosis is one of the most difficult moments to face in the relationship between doctor and patient.