Association between patients' perception of the comorbidity burden and symptoms in outpatients with common solid tumors

Roadmap for precision preclinical x-ray radiation studies

This Roadmap paper covers the field of precision preclinical x-ray radiation studies in animal models. It is mostly focused on models for cancer and normal tissue response to radiation, but also discusses other disease models. The recent technological evolution in imaging, irradiation, dosimetry and monitoring that have empowered these kinds of studies is discussed, and many developments in the near future are outlined. Finally, clinical translation and reverse translation are discussed.

Do presenting symptoms, use of pre-diagnostic endoscopy and risk of emergency cancer diagnosis vary by comorbidity burden and type in patients with colorectal cancer?

BACKGROUND

Cancer patients often have pre-existing comorbidities, which can influence timeliness of cancer diagnosis. We examined symptoms, investigations and emergency presentation (EP) risk among colorectal cancer (CRC) patients by comorbidity status.

METHODS

Using linked cancer registration, primary care and hospital records of 4836 CRC patients (2011-2015), and multivariate quantile and logistic regression, we examined variations in specialist investigations, diagnostic intervals and EP risk.

RESULTS

Among colon cancer patients, 46% had at least one pre-existing hospital-recorded comorbidity, most frequently cardiovascular disease (CVD, 18%). Comorbid versus non-comorbid cancer patients more frequently had records of anaemia (43% vs 38%), less frequently rectal bleeding/change in bowel habit (20% vs 27%), and longer intervals from symptom-to-first relevant test (median 136 vs 74 days). Comorbid patients were less likely investigated with colonoscopy/sigmoidoscopy, independently of symptoms (adjusted OR = 0.7[0.6, 0.9] for Charlson comorbidity score 1-2 and OR = 0.5 [0.4-0.7] for score 3+ versus 0. EP risk increased with comorbidity score 0, 1, 2, 3+: 23%, 35%, 33%, 47%; adjusted OR = 1.8 [1.4, 2.2]; 1.7 [1.3, 2.3]; 3.0 [2.3, 4.0]) and for patients with CVD (adjusted OR = 2.0 [1.5, 2.5]).

CONCLUSIONS

Comorbid individuals with as-yet-undiagnosed CRC often present with general rather than localising symptoms and are less likely promptly investigated with colonoscopy/sigmoidoscopy. Comorbidity is a risk factor for diagnostic delay and has potential, additionally to symptoms, as risk-stratifier for prioritising patients needing prompt assessment to reduce EP.

Comorbidities, Rather Than Older Age, Are Strongly Associated With Higher Utilization of Healthcare in Colorectal Cancer Survivors

BACKGROUND

Colorectal cancer (CRC) survivors generally have a higher healthcare utilization (HCU) than the general population due to cancer burden. However, it is unclear which factors are associated with this increased uptake. Our study aimed to (1) compare CRC-related and non-CRC visits to general practitioners (GPs) and medical specialists (MSs) by comorbidities, and (2) assess whether HCU differs by demographic, clinical, and psychological factors.

METHODS

We used data from a German population-based cohort of 1,718 survivors of stage I-III CRC diagnosed in 2003 through 2010 who provided information on HCU at 5-year follow-up. Multivariable linear regression was used to calculate least-square means of CRC-related and non-CRC HCU according to the Charlson comorbidity index and comorbidity cluster, adjusting for relevant demographic, clinical, and psychological characteristics.

RESULTS

A higher comorbidity level was associated with more CRC-related MS visits and non-CRC GP visits. In addition to being strongly associated with non-CRC GP visits, comorbidity clusters were associated with CRC-related GP and MS visits, but their association varied by specific cardiometabolic comorbidities. HCU was less dependent on prognostic factors for CRC, such as age and tumor stage, but was strongly associated with disease recurrence, depression, and emotional functioning.

CONCLUSIONS

Comorbidities, rather than age or tumor stage, were related to HCU, suggesting that CRC survivors use healthcare mainly for reasons other than cancer 5 years postdiagnosis. Improved communication between primary and tertiary healthcare providers could enhance the medical care of cancer survivors with complex health needs and thereby also reduce healthcare costs.

Symptom experience of older oncology patients with low versus high levels of multimorbidity prior to chemotherapy

PURPOSE

Evaluate for differences in demographic and clinical characteristics between older oncology patients with low multimorbidity (<2 multimorbidities) and high multimorbidity (≥2 multimorbidities) and evaluate for differences in symptom occurrence, severity, and distress ratings between the two groups.

METHODS

Symptoms of older oncology patients (n = 125) were assessed using the Memorial Symptom Assessment Scale prior to chemotherapy administration. Data were analyzed using t-tests for continuous variables and Chi-square or Fisher's exact tests for categorical variables.

RESULTS

For the total sample, lack of energy and pain were the two most common symptoms. Compared to the low multimorbidity group, the high multimorbidity group had a higher number of symptoms and significantly higher occurrence rates for feeling nervous, difficulty sleeping, dry mouth, and pain. Compared to the low multimorbidity group, the high multimorbidity group had significantly higher severity ratings for pain, feeling sad, lack of energy, feeling drowsy, and worrying. For distress, the high multimorbidity group reported significantly higher ratings for pain, worrying, feeling sad, feeling nervous, and "I don't look like myself". No differences were found in any demographic or clinical characteristics between the two multimorbidity groups.

CONCLUSIONS

Multimorbidity is associated with higher symptom occurrence, severity, and distress in older oncology patients. Our findings suggest that the symptoms with the highest severity ratings were not the most distressing. Clinicians should identify multimorbidities and assess symptoms prior to chemotherapy to identify patients at increased risk and initiate referrals for interventions.

Life goes on… Patient perspectives on having a cancer diagnosis and other comorbid diseases: A qualitative study

OBJECTIVES

Due to a growing population with both cancer and chronic diseases, we explored patients' experiences of living with a cancer diagnosis and comorbidities, the possible effects on everyday living and management of comorbidities.

METHODS

Semi-structured interviews were conducted during 2016 with 15 patients in Denmark, with finished cancer treatment and preexisting comorbidities. Analysis was performed by Systematic Text Condensation.

RESULTS

Symptoms which disrupted everyday function were given attention, regardless of the disease from which the symptoms originated. The awareness of cancer and comorbidities constituted an inverse process over time. Most patients perceived cancer as being transient, whereas experiences of comorbidities varied from ignorance to worry. Most patients reported maintaining their chronic illness consultations with their general practitioner as before cancer.

CONCLUSION

Patients prioritized an everyday life with normal chores highly in contrast to paying attention to diseases. Disruptive symptoms, rather than specific diseases, took up patients' attention. Cancer did not change the patients' attendance at chronic care consultations. General practitioners should focus on maintaining the patient's functional level in everyday life. Further, they should continue to prioritize the chronic care management, as this might increase the patients' own view of the importance of self-management.

The Influence of Multiple Chronic Conditions on Symptom Clusters in People With Solid Tumor Cancers

BACKGROUND

People with cancer who also have multiple chronic conditions (MCCs) experience co-occurring symptoms known as symptom clusters.

OBJECTIVE

To describe MCC and symptom clusters in people with cancer and to evaluate the relationships between MCCs and symptom severity, symptom interference with daily life, and quality of life (QoL).

METHODS

Weekly over a 3-week chemotherapy cycle, 182 adults with solid tumor cancer receiving chemotherapy completed measures of symptom severity, symptom interference with daily life, and QoL. Medical records reviewed to count number of MCCs in addition to cancer. Exploratory factor analysis was performed to identify symptom clusters. The relationships between the number of MCCs and the outcomes (symptom severity and symptom interference with daily life and QoL) at each time point were examined using the χ2 test. Longitudinal changes in outcomes were examined graphically.

RESULTS

The number of MCCs ranged from 0 to 9, but most participants (62.1%) had 2 or fewer MCCs. Obesity was the most prevalent chronic condition. Four symptom clusters were identified: nutrition, neurocognitive, abdominal discomfort, and respiratory clusters. At each time point, no significant differences were found for MCCs and any outcome. However, symptom severity in all the symptom clusters, symptom interference with daily life, and QoL demonstrated a worsening in the week following chemotherapy.

CONCLUSION

A majority of our sample had 2 or fewer MCCs, and MCCs did contribute to patient outcomes. Rather, timing of chemotherapy cycle had the greatest influence of patient outcomes.

IMPLICATIONS FOR PRACTICE

Additional support on day 7 of chemotherapy treatment is needed for people with MCCs.

Living with cancer and multimorbidity: the role of primary care

PURPOSE OF REVIEW

As more people live longer with cancer, the number of patients with cancer and multiple other chronic conditions (multimorbidity) has increased. The presence of multimorbidity impacts on all stages of cancer care, from prevention and early detection through to end of life care, but research into cancer and multimorbidity is in its infancy. This review explores the impact of multimorbidity on adults living with (and beyond) cancer, with particular attention paid to the role of primary care in supporting patients in this situation.

RECENT FINDINGS

Patterns of multimorbidity vary depending on cancer type and stage, as well as population characteristics and available data (e.g. number of conditions assessed). Cancer survivors are at increased risk of developing other chronic conditions, due to a combination of shared risk factors (e.g. smoking and obesity), effects of cancer treatments and psychosocial effects.

SUMMARY

Primary care has a central role to play in supporting multimorbid adults living with cancer, providing holistic care of physical and mental well being, while taking treatment burden and social circumstances into account. New models of person-centred and personalized cancer care include holistic needs assessments, care planning, treatment summaries and cancer care reviews, and depend on improved communication between oncologists and primary care colleagues.

A COVID-19 screening tool for oncology telephone triage

PURPOSE

Symptoms associated with COVID-19 infection have made the assessment and triage of cancer patients extremely complicated. The purpose of this paper is to describe the development and implementation of a COVID-19 screening tool for oncology telephone triage.

METHODS

An Ambulatory Oncology Clinical Nurse Educator and three faculty members worked on the development of an oncology specific triage tool based on the challenges that oncology nurses were having with the generic COVID triage tool. A thorough search of the published literature, as well as pertinent websites, verified that no screening tool for oncology patients was available.

RESULTS

The screening tool met a number of essential criteria: (1) simple and easy to use, (2) included the most common signs and symptoms as knowledge of COVID-19 infection changed, (3) was congruent with the overall screening procedures of the medical center, (4) included questions about risk factors for and environmental exposures related to COVID-19, and (5) assessed patient's current cancer history and treatment status. Over a period of 3 weeks, the content and specific questions on the tool were modified based on information obtained from a variety of sources and feedback from the triage nurses.

CONCLUSION

Within 1 month, the tool was developed and implemented in clinical practice. Oncology clinicians can modify this tool to triage patients as well as to screen patients in a variety of outpatient settings (e.g., chemotherapy infusion units, radiation therapy departments). The tool will require updates and modifications based on available resources and individual health care organizations' policies and procedures.

Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms

An earlier diagnosis is a key strategy for improving the outcomes of patients with cancer. However, achieving this goal can be challenging, particularly for the growing number of people with one or more chronic conditions (comorbidity/multimorbidity) at the time of diagnosis. Pre-existing chronic diseases might affect patient participation in cancer screening, help-seeking for new and/or changing symptoms and clinicians' decision-making on the use of diagnostic investigations. Evidence suggests, for example, that pre-existing pulmonary, cardiovascular, neurological and psychiatric conditions are all associated with a more advanced stage of cancer at diagnosis. By contrast, hypertension and certain gastrointestinal and musculoskeletal conditions might be associated with a more timely diagnosis. In this Review, we propose a comprehensive framework that encompasses the effects of disease-specific, patient-related and health-care-related factors on the diagnosis of cancer in individuals with pre-existing chronic illnesses. Several previously postulated aetiological mechanisms (including alternative explanations, competing demands and surveillance effects) are integrated with newly identified mechanisms, such as false reassurances, or patient concerns about appearing to be a hypochondriac. By considering specific effects of chronic diseases on diagnostic processes and outcomes, tailored early diagnosis initiatives can be developed to improve the outcomes of the large proportion of patients with cancer who have pre-existing chronic conditions.

Perceived stress is associated with a higher symptom burden in cancer survivors

BACKGROUND

Although multiple co-occurring symptoms are a significant problem for cancer survivors, to the authors' knowledge little is known regarding the phenotypic characteristics associated with a higher symptom burden. The objectives of the current study were to evaluate the occurrence, severity, and distress associated with 32 symptoms and examine the phenotypic and stress characteristics associated with a higher symptom burden.

METHODS

A total of 623 cancer survivors completed a demographic questionnaire, as well as measures of functional status, comorbidity, and global (Perceived Stress Scale) and cancer-related (Impact of Event Scale-Revised) stress. The Memorial Symptom Assessment Scale was used to evaluate symptom burden. Multiple linear regression analysis was used to determine the phenotypic characteristics associated with a higher symptom burden.

RESULTS

The mean number of symptoms was 9.1 (±5.2). The most common, severe, and distressing symptoms were lack of energy, problems with sexual interest/activity, and hair loss, respectively. Poorer functional status, a higher level of comorbidity, and a history of smoking as well as higher Perceived Stress Scale and Impact of Event Scale-Revised scores were associated with a higher symptom burden. The overall model explained approximately 45.6% of the variance in symptom burden.

CONCLUSIONS

Although cancer survivors report a high number of co-occurring symptoms of moderate severity and distress, in the current study, no disease or treatment characteristics were found to be associated with a higher symptom burden. Clinicians need to assess for general and disease-specific stressors and provide referrals for stress management interventions. Future studies need to examine the longitudinal relationships among symptom burden, functional status, and level of comorbidity, as well as the mechanisms that underlie the associations between stress and symptom burden.

Molecular monitoring of therapeutic milestones and clinical outcomes in patients with chronic myeloid leukemia

BACKGROUND

In the current study, the authors determined whether adhering to molecular monitoring guidelines in patients with chronic myeloid leukemia (CML) is associated with major molecular response (MMR) and assessed barriers to adherent monitoring.

METHODS

Newly treated patients with CML from the Quebec province-wide CML registry from 2005 to 2016 were included. Timely polymerase chain reaction (tPCR) was defined as the molecular assessment of BCR-ABL1 at the 3-month, 12-month, and 18-month time points from the initiation of tyrosine kinase inhibitor (TKI) therapy. The cohort was analyzed as a nested case-control study. Cases with a first-ever MMR (BCR-ABL1 ≤0.1%, assessed at any time during follow-up) were matched to up to 5 controls by duration of TKI therapy, volume of patients with CML at the treatment center, year of cohort entry, and age. Odds ratios (ORs) for the performance of tPCR and MMR were adjusted for sex, comorbidities, type of TKI, and other important covariates.

RESULTS

The cohort included 496 patients. Of 392 MMR events, 67.9% occurred before 18 months. The performance of tPCR was associated with a doubling of the MMR rate (OR, 2.23; 95% confidence interval [95% CI], 1.56-3.21) and was similar with 1 to 3 tPCRs performed (P = .67). Furthermore, tPCRs at 3 months (OR, 2.77; 95% CI, 1.81-4.23) and 12 months (OR, 3.00; 95% CI, 1.64-5.49) were associated with achieving early MMR, whereas tPCRs at 18 months were not (OR, 1.23; 95% CI, 0.80-1.89). Low-volume centers were found to have lower adherence to tPCR (OR, 0.60; 95% CI, 0.40-0.89).

CONCLUSIONS

Timely molecular assessment at 3 months and 12 months appears to benefit patients with CML. Adherence to timely monitoring should be encouraged, especially in low-volume treatment centers.

High Symptom Burden and Low Functional Status in the Setting of Multimorbidity

OBJECTIVES

To enhance understanding of the relationship between multimorbidity, symptom burden, and functional status in individuals with life-limiting illness.

DESIGN

Secondary analysis of baseline data from a randomized clinical trial conducted in the Palliative Care Research Cooperative Group. Group differences were tested using a t-test; multivariate regression analysis was used to determine the effect of multiple variables on functional status and symptom burden.

SETTING

Fifteen Palliative Care Research Cooperation sites.

PARTICIPANTS

Adults who participated in a parent statin-discontinuation clinical trial were included in the analysis (N = 381). Inclusion criteria were diagnosis of a life-limiting illness, statin use for 3 months or longer, life expectancy longer than 1 month, and declining functional status.

MEASUREMENTS

Cancer diagnosis (solid organ and hematologic malignancies), multimorbidity (Charlson Comorbidity Index (CCI) score), symptom burden (Edmonton Symptom Assessment Scale (ESAS) score, number of symptoms with ESAS severity score >4), functional status (Australia-modified Karnofsky Performance Scale (AKPS)).

RESULTS

Fifty-one percent had a primary diagnosis of cancer; mean age 74.1 ± 11.6. Participants had multiple comorbid illnesses (CCI score 4.9 ± 2.8), multiple symptoms (ESAS score 27.2 ± 15.9), and poor functional status (AKPS = 53 ± 13). In univariate and multivariate analyses, multimorbidity was associated with greater symptom burden (4.2 vs 3.1 moderate or severe symptoms (t = -3.2, P = .002), 12% vs 6% with severe symptoms (t = -3.7, P < .001)), but cancer diagnosis was not. In univariate and multivariate analyses, higher symptom burden was associated with poorer functional status (F = 11.6, P < .001), but multimorbidity was not.

CONCLUSION

Symptoms cannot be attributed solely to a diagnosis of cancer. The association between symptom burden and functional status underscores the importance of clinical attention to symptoms in individuals with multimorbidity.