The changing causal foundations of cancer-related symptom clustering during the final month of palliative care: a longitudinal study

Supporting gut health with medicinal cannabis in people with advanced cancer: potential benefits and challenges

The side effects of cancer therapy continue to cause significant health and cost burden to the patient, their friends and family, and governments. A major barrier in the way in which these side effects are managed is the highly siloed mentality that results in a fragmented approach to symptom control. Increasingly, it is appreciated that many symptoms are manifestations of common underlying pathobiology, with changes in the gastrointestinal environment a key driver for many symptom sequelae. Breakdown of the mucosal barrier (mucositis) is a common and early side effect of many anti-cancer agents, known to contribute (in part) to a range of highly burdensome symptoms such as diarrhoea, nausea, vomiting, infection, malnutrition, fatigue, depression, and insomnia. Here, we outline a rationale for how, based on its already documented effects on the gastrointestinal microenvironment, medicinal cannabis could be used to control mucositis and prevent the constellation of symptoms with which it is associated. We will provide a brief update on the current state of evidence on medicinal cannabis in cancer care and outline the potential benefits (and challenges) of using medicinal cannabis during active cancer therapy.

Systematic symptom and problem assessment at admission to the palliative care ward - perspectives and prognostic impacts

BACKGROUND

Symptom assessment is essential in palliative care, but holds challenges concerning implementation and relevance. This study aims to evaluate patients' main symptoms and problems at admission to a specialist inpatient palliative care (SIPC) ward using physician proxy- and patient self-assessment, and aims to identify their prognostic impact as well as the agreement between both assessments.

METHODS

Within 12 h after admission, palliative care specialists completed the Symptom and Problem Checklist of the German Hospice and Palliative Care Evaluation (HOPE-SP-CL). Patients either used the new version of the minimal documentation system for patients in palliative care (MIDOS) or the Integrated Palliative Care Outcome Scale (IPOS) plus the Distress Thermometer (DT).

RESULTS

Between 01.01.2016-30.09.2018, 1206 patients were included (HOPE-SP-CL 98%; MIDOS 21%, IPOS 34%, DT 27%) whereof 59% died on the ward. Proxy-assessment showed a mean HOPE-SP-CL Total Score of 24.6 ± 5.9 of 45. Most frequent symptoms/problems of at least moderate intensity were weakness (95%), needs of assistance with activities of daily living (88%), overburdening of family caregivers (83%), and tiredness (75%). Factor analysis identified four symptom clusters (SCs): (1) Deteriorated Physical Condition/Decompensation of Home Care, (2) Emotional Problems, (3) Gastrointestinal Symptoms and (4) Other Symptoms. Self-assessment showed a mean MIDOS Total Score of 11.3 ± 5.3 of 30, a mean IPOS Total Score of 32.0 ± 9.0 of 68, and a mean distress of 6.6 ± 2.5 of 10. Agreement of self- and proxy-assessment was moderate for pain (ƙ = 0.438) and dyspnea (ƙ = 0.503), fair for other physical (ƙ = 0.297 to 0.394) and poor for psychological symptoms (ƙ = 0.101 to 0.202). Multivariate regression analyses for single symptoms and SCs revealed that predictors for dying on the SIPC ward included impaired ECOG performance status, moderate/severe dyspnea, appetite loss, tiredness, disorientation/confusion, and the SC Deteriorated Physical Condition/Decompensation of Home Care.

CONCLUSION

Admissions to a SIPC ward are mainly caused by problems impairing mobility and autonomy. Results demonstrate that implementation of self- and reliability of proxy- and self-assessment is challenging, especially concerning non-physical symptoms/problems. We identified, specific symptoms and problems that might provide information needed for treatment discussions regarding the medical prognosis.

Identification and Assessment of Breathlessness in Clinical Practice: A Systematic Review and Narrative Synthesis

CONTEXT

Breathlessness is common in chronic conditions but often goes unidentified by clinicians. It is important to understand how identification and assessment of breathlessness occurs across health care settings, to promote routine outcome assessment and access to treatment.

OBJECTIVE

The objective of this study was to summarize how breathlessness is identified and assessed in adults with chronic conditions across different health care settings.

METHODS

This is a systematic review and descriptive narrative synthesis (PROSPERO registration: CRD42018089782). Searches were conducted on Medline, PsycINFO, Cochrane Library, Embase, and CINAHL (2000-2018) and reference lists. Screening was conducted by two independent reviewers, with access to a third, against inclusion criteria. Data were extracted using a bespoke proforma.

RESULTS

Ninety-seven studies were included, conducted in primary care (n = 9), secondary care (n = 53), and specialist palliative care (n = 35). Twenty-five measures of identification and 41 measures of assessment of breathlessness were used. Primary and secondary care used a range of measures to assess breathlessness severity, cause, and impact for people with chronic obstructive pulmonary disease. Specialist palliative care used measures assessing broader symptom severity and function with less focus on overall quality of life. Few studies were identified from primary care.

CONCLUSION

Various measures were identified, reflective of the setting's purpose. However, this highlights missed opportunities for breathlessness management across settings; primary care is particularly well placed to diagnose and support breathlessness. The chronic obstructive pulmonary disease approach (where symptoms and quality of life are part of disease management) could apply to other conditions. Better documentation of holistic patient-reported measures may drive service improvement in specialist palliative care.

Length of stay an important mediator of hospital-acquired methicillin-resistant Staphylococcus aureus

Hospital-acquired methicillin-resistant Staphylococcus aureus (HA-MRSA) is becoming increasingly established in Asian hospitals. The primary aim of this study was to decompose the risk factors for HA-MRSA based on conceptual clinical pathways. The secondary aim was to show the amount of effect attributable to antibiotic exposure and total length of stay before outcome (LBO) so that institutions can manage at-risk patients accordingly. A case-control study consisting of 1200 inpatients was conducted in a large tertiary hospital in Singapore between January and December 2006. Results from the generalized structural equation model (GSEM) show that LBO [adjusted odds ratio (aOR) 14·9, 95% confidence interval (CI) 8·7-25·5], prior hospitalization (aOR 6·2, 95% CI 3·3-11·5), and cumulative antibiotic exposure (aOR 3·5, 95% CI 2·3-5·3), directly affected HA-MRSA acquisition. LBO accounted for the majority of the effects due to age (100%), immunosuppression (67%), and surgery (96%), and to a lesser extent for male gender (22%). Our model enabled us to account and quantify effects of intermediaries. LBO was found to be an important mediator of age, immunosuppression and surgery on MRSA infection. Traditional regression approaches will not only give different conclusions but also underestimate the effects. Hospitals should minimize the hospital stay when possible to reduce the risk of MRSA.

Relações hipotéticas entre os determinantes sociais da saúde que influenciam na obesidade em idosos

Os elevados índices de prevalência de obesidade em idosos suscitam a necessidade de compreender os fatores envolvidos nesta desordem nutricional, por meio de métodos quantitativos que permitam uma análise relacional desses determinantes. O objetivo deste estudo foi propor um modelo hipotético que estabeleça as relações entre os determinantes sociais da saúde associados à obesidade em idosos. Para a construção do modelo hipotético, foram delineadas as variáveis latentes e observadas de acordo com a análise de 45 artigos nacionais e internacionais e em concordância com o referencial da Modelagem de Equações Estruturais. Foi construído um diagrama representativo para evidenciar as correlações entre os 11 determinantes sociais da saúde relacionados à obesidade no idoso: atividade física, tabagismo, etilismo, consumo alimentar, contato social, ocupação, renda, escolaridade, idade, sexo e estado civil. Espera-se que as relações hipotéticas estabelecidas no estudo contribuam para a compreensão das relações dos fatores que estão envolvidos nesse contexto visando ao desenvolvimento de estratégias para a saúde da pessoa idosa.

Symptom clusters in patients with advanced cancer: a systematic review of observational studies

CONTEXT

Advanced cancer patients typically experience multiple symptoms, which may influence patient outcomes synergistically. The composition of these symptom clusters (SCs) differs depending on various clinical variables and the timing and method of their assessment.

OBJECTIVES

The objective of this systematic review was to examine the composition, longitudinal stability, and consistency across methodologies of common SCs, as well as their common predictors and outcomes.

METHODS

A search of MEDLINE, CINAHL, Embase, Web of Science, and PsycINFO was conducted using variants of symptom clusters, cancer, and palliative care.

RESULTS

Thirty-three articles were identified and reviewed. Many SCs were identified, with four common groupings being anxiety-depression, nausea-vomiting, nausea-appetite loss, and fatigue-dyspnea-drowsiness-pain. SCs in most cases were not stable longitudinally. The various statistical methods used (most commonly principal component analysis, exploratory factor analysis, and hierarchical cluster analysis) tended to reveal different SCs. Different measurement tools were used in different studies, each containing a different array of symptoms. The predictors and outcomes of SCs were also inconsistent across studies. No studies of patient experiences of SCs were identified.

CONCLUSION

Although the articles reviewed revealed four groups of symptoms that tended to cluster, there is limited consistency in the way in which SCs and variables associated with them are identified. This is largely due to a lack of agreement about a robust, clinically relevant definition of SCs. Future research should focus on patients' subjective experience of SCs to inform a clinically relevant definition of SCs and how they are managed over time.

Symptoms and problem clusters in cancer and non-cancer patients in specialized palliative care-is there a difference?

CONTEXT

In clinical practice, some symptoms and problems frequently occur in combination, which may have consequences for symptom management.

OBJECTIVES

Facing a growing number of non-cancer patients in palliative care, this study aimed to differentiate symptom clusters in the non-cancer population from those in cancer patients.

METHODS

Inpatient data from the German Hospice and Palliative Care Evaluation between 2007 and 2011 were used for a cluster analysis of a 16-item symptom and problem checklist. An agglomerative hierarchical method was chosen. Coefficients from distance matrix ranging between 0 and 1 were calculated to indicate the interrelationship of clustered symptoms.

RESULTS

The analysis identified five clusters in cancer patients: 1) nausea and vomiting (d = 0.000); 2) anxiety, tension, and feeling depressed (d = 0.125); 3) wound care and disorientation/confusion (d = 0.229); 4) organization of care and overburdening of family (d = 0.202); and 5) weakness, tiredness, need for assistance with activities of daily living, and loss of appetite (d = 0.207). Five comparable clusters were identified in non-cancer patients: 1) nausea and vomiting (d = 0.000); 2) anxiety, tension, and feeling depressed (d = 0.166); 3) organization of care and overburdening of family (d = 0.187); 4) weakness and need for assistance with activities of daily living (d = 0.139); and 5) tiredness and loss of appetite (d = 0.182).

CONCLUSION

As symptom clusters do not significantly differ between cancer and non-cancer patients, specific frequent symptoms in non-cancer patients should be assessed. Identification of symptom clusters may help to target therapies and focus the use of medications to improve patients' quality of life.

Changes in symptom intensity among cancer patients receiving outpatient palliative care

CONTEXT

Symptom changes are usually reported using summary statistics such as mean and/or median, which may obscure the treatment effect.

OBJECTIVES

The main objective of this retrospective study was to determine the magnitude of symptom changes as assessed by the Edmonton Symptom Assessment System (ESAS) after outpatient palliative care at the first follow-up visit.

METHODS

We reviewed 1612 consecutive patients with cancer who were referred to the outpatient Supportive Care Center and who completed the ESAS at the initial and first follow-up visits between January 2003 and December 2010. All patients received interdisciplinary care led by the palliative care specialists following an institutional protocol.

RESULTS

The distribution of the magnitude of symptom changes was stratified by baseline intensities. Patterns were similar for different ESAS items. At the follow-up visit (median: 15 days later), 52-74% of patients showed a decrease of one or more points in the ESAS score. However, 48-80% of patients with moderate/severe intensity at baseline complained of symptoms with an ESAS score of four or more after outpatient palliative care. Symptoms with absent/mild intensity worsened, ranging from a mean of -3.04 to 0.12 at the first follow-up visit, whereas symptoms with moderate/severe intensity improved from -0.2 to 3.86 (P<0.001).

CONCLUSION

A considerable proportion of patients with moderate or severe intensity at baseline still had symptoms with an ESAS score of four or more. Patients with absent/mild intensities at baseline complained of symptom exacerbation at the first follow-up visit. Various strategies are needed to optimize symptom control in advanced cancer.

Comparing two approaches for studying symptom clusters: factor analysis and structural equation modeling

PURPOSE

We investigated alternative ways of understanding the relationships among co-occurring symptoms in individuals with advanced cancer. While factor analysis has been increasingly used to identify symptom clusters, we argue that structural equation modeling is more appropriate because it permits investigating and testing of a greater variety of potential causal interconnections among symptoms.

METHODS

The sample included 82 palliative patients whose symptom scores were obtained from a database of the Capital Health Regional Palliative Care Program in Alberta, Canada, from 1995 to 2000. Data were analyzed using exploratory factor analysis (SPSS PASW 18.0.0, 2009) and compared to previous results obtained using structural equation modeling (LISREL 8.8, 2009).

RESULTS

Factor models failed to fit the covariance data, even though a single factor "explained" nearly half the variance. Structural equation models fit the data and explained an average of 66 % of the variance in the dependent latent variables. The factor analytic estimates were not clinically useful because they failed to correspond to the reasonable underlying common causes of the symptoms. Structural equation models, on the other hand, incorporated and tested specific clinically anticipated causal relationships among the symptoms and changes in those symptoms over time.

CONCLUSION

We used factor analysis to reanalyze data previously investigated with structural equation modeling and found that the structural equation models fit the data better and were more interpretable from a clinical perspective. We caution that factor models should be tested for consistency with the data and critically examined for inconsistencies with clinical understandings of the causal foundations of coordinated symptoms.

Symptom clusters and quality of life in older adult breast cancer survivors

PURPOSE/OBJECTIVES

To identify symptom clusters in older adult breast cancer survivors (ages 65-97 years) and examine whether symptom clusters are related to demographic, health, and quality-of-life variables.

DESIGN

Factor analysis to identify possible symptom clusters. The resulting clusters then were correlated with quality-of-life measures.

SETTING

Phone interviews between the participants and a trained research nurse.

SAMPLE

192 breast cancer survivors (X age = 70).

METHODS

This was a secondary data analysis of the baseline measures of demographics, health history, symptom bother, and physical, mental, and existential dimensions of quality of life. Exploratory and confirmatory factor analyses were conducted as well as multiple indicator multiple cause modeling and partial correlation analyses to assess the relationships among clusters and demographic, health history, and quality-of-life measures.

MAIN RESEARCH VARIABLES

Self-reported symptom bother, demographics such as age and education level, health history, and quality of life.

FINDINGS

Seven clinically distinct symptom clusters tapping 36 different symptoms in older adult breast cancer survivors were found. These symptom clusters were significantly related to multiple dimensions of quality of life.

CONCLUSIONS

Older adult breast cancer survivors experience multiple concurrent symptoms that appear to cluster. Identifying symptom clusters helps to elucidate possible intersymptom relationships which may lead to the design of more effective symptom management interventions for older adult breast cancer survivors.

IMPLICATIONS FOR NURSING

Older adult breast cancer survivors should be assessed for a wide variety of symptoms if clinicians hope to identify and understand intersymptom relationships. Such assessment would enable more comprehensive symptom management.

Structural equation modeling in epidemiology

Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young children, considering constructs related to organization of the child's home environment, parenting style, and the child's health status. The relations between the constructs and cognitive development were measured. The results showed a positive association between psychosocial stimulus at home and cognitive development in young children. The article presents the contributions by SEM to epidemiology, highlighting the need for an a priori theoretical model for improving the study of epidemiological questions from a new perspective.

Efficacy of radiotherapy for painful bone metastases during the last 12 weeks of life: results from the Dutch Bone Metastasis Study

BACKGROUND

Radiotherapy is an effective treatment for painful bone metastases. Whether this applies also in patients with limited survival remains to be investigated. This study analyzed the effect of radiotherapy for painful bone metastases in patients with a survival < or =12 weeks.

METHODS

In the Dutch Bone Metastasis Study, 1157 patients with painful bone metastases were randomized to single fraction (1 x 8 grays [Gy]) or multiple fraction (6 x 4 Gy) radiotherapy. Patients who died within 12 weeks after randomization were included in this analysis. Patients were classified as responders or nonresponders, based on their pain response to radiotherapy. This response was calculated considering changes in pain intensity (measured with an 11-point numeric rating scale) and analgesic usage. Cox proportional hazards models were used to analyze pain response and survival.

RESULTS

Two hundred seventy-4 patients were included in this analysis. At randomization, the mean pain intensity score (+/-standard deviation) was 7 (+/-2). The proportion showing a pain response did not differ between the single fraction and multiple fraction groups. Toward death, pain intensity score decreased to 5 (+/-3) in responders (45%), whereas in nonresponders (55%) no change was observed. Despite the benefit in responders, in 60% of all patients pain intensity remained 5 after randomization.

CONCLUSIONS

Pain responded in about half of the patients who survived < or =12 weeks after randomization into the Dutch Bone Metastasis Study. When considering radiotherapy, single fraction should be preferred. Additional palliative measures remain essential for adequate pain control.

Differences in symptom clusters identified using occurrence rates versus symptom severity ratings in patients at the end of radiation therapy

The purposes of this study were to identify the number and types of symptom clusters using yes/no responses from the Memorial Symptom Assessment Scale, identify the number and types of symptom clusters using severity scores from the Memorial Symptom Assessment Scale, compare the identified symptom clusters derived using severity scores to those derived using occurrence ratings, and evaluate for differences in symptom cluster severity scores between patients with breast and prostate cancer at the end of radiation therapy. Separate exploratory factor analyses were performed to determine the number of symptom clusters based on symptom occurrence rates and symptom severity ratings. Although specific symptoms within each symptom cluster were not identical, 3 very similar symptom clusters (ie, "mood-cognitive" symptom cluster, "sickness-behavior" symptom cluster, "treatment-related" symptom cluster) were identified regardless of whether occurrence rates or severity ratings were used to create the symptom clusters at the end of radiation therapy. However, the factor solution derived using the severity ratings fit the data better. Significant differences in severity scores for all 3 symptom clusters were found between patients with breast and prostate cancer. For all 3 symptom clusters, the patients with breast cancer had higher symptom cluster severity scores than the patients with prostate cancer.