Comorbid disease and cancer: the need for more relevant conceptual models in health services research

Concomitant medication, comorbidity and survival in patients with breast cancer

Between 30% and 70% of patients with breast cancer have pre-existing chronic conditions, and more than half are on long-term non-cancer medication at the time of diagnosis. Preliminary epidemiological evidence suggests that some non-cancer medications may affect breast cancer risk, recurrence, and survival. In this nationwide cohort study, we assessed the association between medication use at breast cancer diagnosis and survival. We included 235,368 French women with newly diagnosed non-metastatic breast cancer. In analyzes of 288 medications, we identified eight medications positively associated with either overall survival or disease-free survival: rabeprazole, alverine, atenolol, simvastatin, rosuvastatin, estriol (vaginal or transmucosal), nomegestrol, and hypromellose; and eight medications negatively associated with overall survival or disease-free survival: ferrous fumarate, prednisolone, carbimazole, pristinamycin, oxazepam, alprazolam, hydroxyzine, and mianserin. Full results are available online from an interactive platform ( https://adrenaline.curie.fr ). This resource provides hypotheses for drugs that may naturally influence breast cancer evolution.

The effect of general practice contact on cancer stage at diagnosis in Aboriginal and non-Aboriginal residents of New South Wales

PURPOSE

Older age, risks from pre-existing health conditions and socio-economic disadvantage are negatively related to the prospects of an early-stage cancer diagnosis. With older Aboriginal Australians having an elevated prevalence of these underlying factors, this study examines the potential for the mitigating effects of more frequent contact with general practitioners (GPs) in ensuring local-stage at diagnosis.

METHODS

We compared the odds of local vs. more advanced stage at diagnosis of solid tumours according to GP contact, using linked registry and administrative data. Results were compared between Aboriginal (n = 4,084) and non-Aboriginal (n = 249,037) people aged 50 + years in New South Wales with a first diagnosis of cancer in 2003-2016.

RESULTS

Younger age, male sex, having less area-based socio-economic disadvantage, and fewer comorbid conditions in the 12 months before diagnosis (0-2 vs. 3 +), were associated with local-stage in fully-adjusted structural models. The odds of local-stage with more frequent GP contact (14 + contacts per annum) also differed by Aboriginal status, with a higher adjusted odds ratio (aOR) of local-stage for frequent GP contact among Aboriginal people (aOR = 1.29; 95% CI 1.11-1.49) but not among non-Aboriginal people (aOR = 0.97; 95% CI 0.95-0.99).

CONCLUSION

Older Aboriginal Australians diagnosed with cancer experience more comorbid conditions and more socioeconomic disadvantage than other Australians, which are negatively related to diagnosis at a local-cancer stage. More frequent GP contact may act to partly offset this among the Aboriginal population of NSW.

Impact of prognostic factor distributions on mortality disparities for socioeconomically disadvantaged cancer patients

PURPOSE

We aimed to assess whether differences in the distributions of prognostic factors explain reported mortality disparities between urban safety-net and Surveillance, Epidemiology, and End Results (SEER) cancer populations.

METHODS

We used data from SEER and a safety-net cancer center in Texas. Eligible patients were adults aged ≤64 years and diagnosed with first primary female breast, colorectal, or lung cancer between 2008 and 2016. We estimated crude and adjusted risk differences (RD) in 3- and 5-year all-cause mortality (1- and 3-year for lung cancer), where adjustment was based on entropy balancing weights that standardized the distribution of sociodemographic and tumor characteristics between the two populations.

RESULTS

Our study populations comprised 1914 safety-net patients and 389,709 SEER patients. For breast cancer, the crude 3- and 5-year mortality RDs between safety-net and SEER populations were 7.7% (95% confidence limits [CL]: 4.3%, 11%) and 11% (95% CL: 6.7%, 16%). Adjustment for measured prognostic factors reduced the mortality RDs (3-year adjusted RD = 0.049%, 95% CL: -2.6%, 2.6%; 5-year adjusted RD = 5.6%, 95% CL: -0.83%, 12%). We observed similar patterns for colorectal and lung cancer albeit less magnitude.

CONCLUSIONS

Sociodemographic and tumor characteristics may largely explain early mortality disparities between safety-net and SEER populations but not late mortality disparities.

Lung cancer deaths (England 2001-2017)-comorbidities: a national population-based analysis

BACKGROUND

The presence of comorbidities in people with lung cancer is common. Despite this, large-scale contemporary reports describing patterns and trends in comorbidities are limited.

DESIGN AND METHODS

Population-based patterns and trends analysis using Office for National Statistics Mortality Data. Our cohort included all adults who died from lung cancer (ICD-10 codes C33-C34) in England between 2001 and 2017. We describe decedents with 0, 1 or ≥2 comorbidities and explore changes overtime for the six most common comorbidities identified: chronic respiratory disease; diabetes; cardiovascular disease; dementia; cerebrovascular disease and chronic kidney disease. To determine future trends, the mean annual percentage change between 2001 and 2017 was calculated and projected forwards, while accounting for anticipated increases in lung cancer mortality.

RESULTS

There were 472 259 deaths from lung cancer (56.9% men; mean age 72.9 years, SD: 10.7). Overall, 19.0% of lung cancer decedents had 1 comorbidity at time of death and 8.8% had ≥2. The proportion of patients with comorbidities increased over time-between 2001 and 2017 decedents with 1 comorbidity increased 54.7%, while those with ≥2 increased 294.7%. The most common comorbidities were chronic respiratory disease and cardiovascular disease, contributing to 18.5% (95% CI: 18.0 to 18.9) and 11.4% (11.0 to 11.7) of deaths in 2017. Dementia and chronic kidney disease had the greatest increase in prevalence, increasing 311% and 289% respectively.

CONCLUSION

To deliver high-quality outcomes for the growing proportion of lung cancer patients with comorbidities, oncology teams need to work across traditional boundaries of care. Novel areas for development include integration with dementia and chronic kidney disease services.

Use of psychotropic drugs among older patients with bladder cancer in the United States

OBJECTIVE

Older patients diagnosed with cancer are at increased risk of physical and emotional distress; however, prescription utilization patterns largely remain to be elucidated. Our objective was to comprehensively assess prescription patterns and predictors in older patients with bladder cancer.

METHODS

A total of 10,516 older patients diagnosed with clinical stage T1-T4a, N0, M0 bladder urothelial carcinoma from 1 January 2008 to 31 December 2012 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare were analyzed. We used multivariable analysis to determine predictors associated with psychotropic prescription rates (one or more). Medication possession ratio (MPR) was used as an index to measure adherence in intervals of 3 months, 6 months, 1 year, and 2 years. Evaluation of psychotropic prescribing patterns and adherence across different drugs and demographic factors was done.

RESULTS

Of the 10,516 older patients, 5621 (53%) were prescribed psychotropic drugs following cancer diagnosis. Overall, 3972 (38%) patients had previous psychotropic prescriptions prior to cancer diagnosis, and these patients were much more likely to receive a post-cancer diagnosis prescription. Prescription rates for psychotropic medications were higher among patients with higher stage BC (p < 0.001). Gamma aminobutyric acid modulators/stimulators and serotonin reuptake inhibitors/stimulators were the highest prescribed psychotropic drugs in 21% of all patients. Adherence for all drugs was 32% at 3 months and continued to decrease over time.

CONCLUSION

Over half of the patients received psychotropic prescriptions within 2 years of their cancer diagnosis. Given the chronicity of psychiatric disorders with observed significantly low adherence to medications that warrants an emphasis on prolonged patient monitoring and further investigation.

Immunotherapy Utilization Among Patients With Metastatic NSCLC: Impact of Comorbidities

In patients with metastatic non-small cell lung cancer (mNSCLC), the extent to which immunotherapy utilization rate varies by comorbidities is unclear. Using the National Cancer Database from 2015 to 2016, we assessed the association between levels of comorbidity and immunotherapy utilization among mNSCLC patients. Burden of comorbidities was ascertained based on the modified Charlson-Deyo score and categorized as an ordinal variable (0, 1, and ≥2). Immunotherapy utilization was determined based on registry data. Multivariable logistic regressions were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for the comorbidity score while adjusting for sociodemographic factors, histopathologic subtype, surgery, chemotherapy, radiotherapy, insurance, facility type, and other cancer history. Subgroup analyses were conducted by age and race/ethnicity. Overall, of the 89,030 patients with mNSCLC, 38.6% (N=34,382) had the comorbidity score of ≥1. Most patients were non-Hispanic white (82.3%, N=73,309) and aged 65 years and above (63.2%, N=56,300), with the mean age of 68.4 years (SD=10.6). Only 7.0% (N=6220) of patients received immunotherapy during 2015-2106. Patients with a comorbidity score of ≥2 had a significantly lower rate of immunotherapy utilization versus those without comorbidities (aOR=0.85; 95% CI, 0.78-0.93; P-trend<0.01). In subgroup analysis by age, association patterns were similar among patients younger than 65 and those aged 65-74 years. There were no significant differences in subgroup analysis by race/ethnicity, although statistical significance was only observed for white patients (comorbidity score ≥2 vs. 0: aOR=0.85; 95% CI, 0.77-0.93; P-trend<0.01). In conclusion, mNSCLC patients with a high burden of comorbidities are less likely to receive immunotherapy.

Impact of comorbidities at diagnosis on the 10-year colorectal cancer net survival: A population-based study

BACKGROUND

It is established that comorbidities negatively influence colorectal cancer (CRC)-specific survival. Only few studies have used the relative survival (RS) setting to estimate this association, although RS has been proven particularly useful considering the inaccuracy in death certification. This study aimed to investigate the impact of non-cancer comorbidities at CRC diagnosis on net survival, using cancer registry data.

METHODS

We included 1076 CRC patients diagnosed between 2000 and 2001 in the canton of Zurich. The number and severity of comorbidities was expressed using the Charlson Comorbidity Index (CCI). Multiple imputation was performed to account for missing information and 10-year net survival was estimated by modeling the excess hazards of death due to CRC, using flexible parametric models.

RESULTS

After imputation, approximately 35 % of the patients were affected by comorbidities. These appeared to decrease the 10-year net survival; the estimated excess hazard ratio for patients with one mild comorbidity was 2.14 (95 % CI 1.60-2.86), and for patients with one more severe or more than one comorbidity was 2.43 (95 % CI 1.77-3.34), compared to patients without comorbidities.

CONCLUSIONS

Our analysis suggested that non-cancer comorbidities at CRC diagnosis significantly decrease the 10-year net survival. Future studies should estimate net survival of CRC including comorbidities as prognostic factor and use a RS framework to overcome the uncertainty in death certification.

Drug-specific and dosage effects of statins and the risk of cancer: a population-based cohort study in South Korea

This study aimed to investigate whether the drug-specific and dosage effects of statin use were associated with a lower risk of cancer in adults in South Korea. We evaluated the adult population registered in the 2010 sample cohort database of South Korea. Subjects were divided into the statin group (those who had been prescribed continuous oral statin over 1 year) and the control group (those who had never been prescribed statin from 2010 to 2016). In total, 687 396 individuals were included in the analysis [statin group, 53 592 (7.8%); control group, 633 804 (92.2%)]. In a multivariable Cox model, the hazard of cancer in the statin group was 5% lower than that in the control group [hazard ratio, 0.95; 95% confidence interval (CI), 0.91-0.98; P = 0.004]. Additionally, the hazard of cancer in patients receiving moderate- and high-intensity daily dosages of statin were 5% (hazard ratio, 0.95; 95% CI, 0.91-0.98; P = 0.005) and 9% (hazard ratio, 0.91; 95% CI, 0.83-0.99; P = 0.042) lower than that of the control group, respectively. The hazard of cancer in patients receiving atorvastatin was 6% (hazard ratio, 0.94; 95% CI, 0.90-0.98; P = 0.005) lower than that in the control group, while other types of statins showed no significant associations (all P > 0.05). Statin use was associated with a lower risk of cancer in South Korea. This association was stronger in patients receiving moderate and high daily dosages of statin and in patients receiving atorvastatin.

Comorbidities at Diagnosis, Survival, and Cause of Death in Patients with Chronic Lymphocytic Leukemia: A Population-Based Study

This study aimed to examine the prevalence of comorbidities in patients diagnosed with chronic lymphocytic leukemia (CLL), and to assess its influence on survival and cause-specific mortality at a population-based level. Incident CLL cases diagnosed in the Girona province (Spain) during 2008–2016 were extracted from the Girona Cancer Registry. Rai stage and presence of comorbidities at diagnosis, further categorized using the Charlson comorbidity index (CCI), were obtained from clinical records. Observed (OS) and relative survival (RS) were estimated and Cox’s proportional hazard models were used to explore the impact of comorbidity on mortality. Among the 400 cases included in the study, 380 (99.5%) presented at least one comorbidity at CLL diagnosis, with diabetes without end organ damage (21%) being the most common disease. 5-year OS and RS were 68.8 (95% CI: 64.4–73.6) and 99.5 (95% CI 3.13–106.0), respectively, which decreased markedly with increasing CCI, particularly in patients with CCI ≥ 3. Multivariate analysis identified no statistically significant association between the CCI and overall CLL-related or CLL-unrelated mortality. In conclusion, a high CCI score negatively influenced the OS and RS of CLL patients, yet its effect on mortality was statistically non-significant when also considering age and the Rai stage.

Comorbidity burden in long-term breast cancer survivors compared with a cohort of population-based controls from the MARIE study

BACKGROUND

The number of elderly cancer survivors is growing because of increasing survival rates. A high comorbidity burden in the elderly can affect their quality of life and survival. The aim of this study was to examine whether breast cancer survivors and population-based controls have a different comorbidity burden after long-term follow-up.

METHODS

This study used data from a German breast cancer case-control study, which initially comprised 3813 breast cancer cases aged 50 to 74 years who were diagnosed between 2002 and 2005 and 7341 population-based controls. Participants were followed up in 2014/2016. A modified Charlson Comorbidity Index (mCCI) was calculated to quantify severe comorbidities. Negative binomial regression was performed to estimate rate ratios (RRs) with 95% confidence intervals (CIs) for the association between case-control status and mCCI (dependent variable) for the baseline population and for those who participated at follow-up, with adjustments made for relevant lifestyle factors.

RESULTS

In total, 1925 cases and 3674 controls participated in the follow-up 12 years after recruitment. In the baseline population 35% had at least 1 comorbid condition.In long-term survivors this proportion was 52%. No difference was found in the mCCI between breast cancer cases and controls at baseline (RR, 1.05; 95% CI, 0.98-1.11) or between long-term survivors of the 2 groups at baseline (RR, 1.07; 95% CI, 0.97-1.18) or at follow-up (RR, 1.00; 95% CI, 0.91-1.10).

CONCLUSIONS

The comorbidity burden of long-term breast cancer survivors and controls increased over time; however, it remained similar in both groups after 12 years of follow-up.

Drug therapy problems and health related quality of life among patients with colorectal cancer in a Kenyan tertiary health facility

BACKGROUND

Colorectal cancer is the third most common form of cancer in males and the second in females globally. The ill-health due to cancer and use of multiple therapies may result in drug related problems and also affect the health-related quality of life of the patients.

OBJECTIVE

To characterize drug therapy problems and health-related quality of life among patients with colorectal cancer at Kenyatta National Hospital.Methodology: A descriptive prospective cross-sectional study design was used and simple random sampling utilized to select seventy- one participants. The participants were interviewed and their responses captured using World Health Organisation Quality of Life-BREF and a structured questionnaire. The data were analysed using STATA version 15.0. Data was summarized using descriptive statistic such as mean, range and standard deviation. Association between variables was determined using linear regression model at 0.05% level of significance. Ethical approval was granted by the relevant authorities to conduct the study.

RESULTS

Patients were predominantly females (52.1%), had a mean age of 55.9± 14.4 years. The main drug therapy problems were adverse drug reactions (45.1%). Approximately two thirds (67.6%) of the participants complained of gastrointestinal problems followed by cardiovascular diseases (29.6%). Quality of life assessment indicated that psychological health had the highest score at 60.5%. On linear regression analysis, the presence of anemia (p = 0.021), coverage (p = 0.038), and cardiovascular problems (p = 0.034) were significantly associated with the overall health-related quality of life.

CONCLUSION

The health-related quality of life was is dependent on several patient related factors. Interventions regarding prevention of drug therapy problems should be considered alongside other measures used to manage colorectal cancer.

Relative importance of clinical and sociodemographic factors in association with post-operative in-hospital deaths in colorectal cancer patients in New South Wales: An artificial neural network approach

RATIONALE, AIMS AND OBJECTIVES

Co-morbidities in colorectal cancer patients complicate hospital care, and their relative importance to post-operative deaths is largely unknown. This study was conducted to examine a range of clinical and sociodemographic factors in relation to post-operative in-hospital deaths in colorectal cancer patients and identify whether these contributions would vary by severity of co-morbidities.

METHODS

In this multicentre retrospective cohort study, we used the complete census of New South Wales inpatient data to select colorectal cancer patients admitted to public hospitals for acute surgical care, who underwent procedures on the digestive system during the period of July 2001 to June 2014. The primary outcome was in-hospital death at the end of acute care. Multilayer perceptron and back-propagation artificial neural networks (ANNs) were used to quantify the relative importance of a wide range of clinical and sociodemographic factors in relation to post-operative deaths, stratified by severity of co-morbidities based on Charlson co-morbidity index.

RESULTS

Of 6288 colorectal cancer patients, approximately 58.3% (n = 3669) had moderate to severe co-morbidities. A total of 464 (7.4%) died in hospitals. The performance for ANN models was superior to logistic models. Co-morbid musculoskeletal and mental disorders, adverse events in health care, and socio-economic factors including rural residence and private insurance status contributed to post-operative deaths in hospitals.

CONCLUSION

Identification of relative importance of factors contributing to in-hospital deaths in colorectal cancer patients using ANN may help to enhance patient-centred strategies to meet complex needs during acute surgical care and prevent post-operative in-hospital deaths.

Impact of Alzheimer's disease and related dementia diagnosis following treatment for bladder cancer

OBJECTIVES

Our objective was to assess the incidence of Alzheimer's Disease and related dementia diagnosis following treatment for muscle-invasive bladder cancer and impact on survival outcomes.

MATERIALS AND METHODS

A total of 4814 patients diagnosed with clinical stage T2-T4a, N0, M0 bladder cancer between January 1, 2002 to December 31, 2011 using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database were identified. Alzheimer's disease and related dementia diagnosis was identified using International Statistical Classification of Disease-Ninth Edition outpatient and inpatient codes. Incidence of dementia following treatment were calculated and reported as dementia cases per 10,000 person-years. Cox proportional hazards models were used to assess the impact of dementia on survival outcomes.

RESULTS

Of the 4814 patients, 2403 (49.9%) underwent radical cystectomy (RC) and 2411 (50.1%) underwent radiotherapy (RTX) and/or chemotherapy (CTX). Overall, 837 (17.4%) patients developed Alzheimer's disease and related dementia following bladder cancer treatment. There was no significant difference in the incidence of Alzheimer's disease and related dementia following either treatment. Patients diagnosed with Alzheimer's disease and related dementia had worse overall (Hazard Ratio (HR), 2.64; 95% Confidence Interval (CI), 2.41-2.89) and cancer-specific (HR, 2.45; 95% CI, 2.18-2.76) survival than those without a dementia diagnosis following treatment.

CONCLUSION

While we observed no difference in new-onset Alzheimer's disease and related dementia diagnosis following RC or RTX and/or CTX, patients with a Alzheimer's and related dementia diagnosis was associated with worse overall and cancer-specific survival. These findings have important implications for screening and the development of targeted interventions for improving outcomes in older adults following complex cancer treatments, as observed in this bladder cancer population.

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.

Comedications influence immune infiltration and pathological response to neoadjuvant chemotherapy in breast cancer

Immunosurveillance plays an important role in breast cancer (BC) prognosis and progression, and can be geared by immunogenic chemotherapy. In a cohort of 1023 BC patients treated with neoadjuvant chemotherapy (NAC), 40% of the individuals took comedications mostly linked to aging and comorbidities. We systematically analyzed the off-target effects of 1178 concurrent comedications (classified according to the Anatomical Therapeutic Chemical (ATC) Classification System) on the density of tumor-infiltrating lymphocytes (TILs) and pathological complete responses (pCR). At level 1 of the ATC system, the main anatomical classes of drugs were those targeting the nervous system (class N, 39.1%), cardiovascular disorders (class C, 26.6%), alimentary and metabolism (class A, 16.9%), or hormonal preparations (class H, 6.5%). At level 2, the most frequent therapeutic classes were psycholeptics (N05), analgesics (N02), and psychoanaleptics (N06). Pre-NAC TIL density in triple-negative BC (TNBC) was influenced by medications from class H, N, and A, while TIL density in HER2⁺ BC was associated with the use of class C. Psycholeptics (N05) and agents acting on the renin-angiotensin system (C09) were independently associated with pCR in the whole population of BC or TNBC, and in HER2-positive BC, respectively. Importantly, level 3 hypnotics (N05C) alone were able to reduce tumor growth in BC bearing mice and increased the anti-cancer activity of cyclophosphamide in a T cell-dependent manner. These findings prompt for further exploration of drugs interactions in cancer, and for prospective drug-repositioning strategies to improve the efficacy of NAC in BC.

Prevalence of comorbidity in cancer patients scheduled for systemic anticancer treatment in Austria

The purpose of this observational study was to determine the prevalence of comorbid conditions in cancer patients with solid tumours selected for specific treatment at 12 divisions of medical oncology in Austria. Data from 1137 patients were collected using a standardized questionnaire; of these, 1036 datasets were evaluable for further analysis. Data were prospectively collected from patients during an in- or outpatient hospital visit over a 4-month period in 2011. Of these patients 42% had gastrointestinal cancer, 31% had breast cancer, 9% lung cancer and the remaining had urogenital cancer, sarcoma or other types of rare cancers. Around two-thirds of patients had metastatic disease (59%), confined to a single organ site in 55% of patients. A high proportion of patients had a good performance status (Eastern Cooperative Oncology Group [ECOG] 0, 1: 82%). Comorbid conditions were classified according to the Charlson scheme score and were present in 86% of patients with a median age of 64 years. The predominant conditions were cardiovascular diseases (57%), metabolic diseases (44%), endocrinological diseases (30%), gastrointestinal diseases (26%), neurological (23%) and respiratory diseases (23%). As has been reported by others we found a clear association between number of comorbid conditions and age. While 60% of the whole population had at least 2 comorbidities, most patients of the elderly population (89%) had more than three comorbidities. The high proportion of patients with comorbidities and accompanying medication represents a substantial challenge for medical oncologists in selecting the optimal cancer-specific treatment especially in the era of novel targeted and immunotherapies. Comorbid conditions and accompanying comedications require special precautions concerning potential interactions and unexpected adverse reactions from prescribed tumour-specific treatment.

Contrasting effects of comorbidities on emergency colon cancer diagnosis: a longitudinal data-linkage study in England

BACKGROUND

One in three colon cancers are diagnosed as an emergency, which is associated with worse cancer outcomes. Chronic conditions (comorbidities) affect large proportions of adults and they might influence the risk of emergency presentations (EP).

METHODS

We aimed to evaluate the effect of specific pre-existing comorbidities on the risk of colon cancer being diagnosed following an EP rather than through non-emergency routes. The cohort study included 5745 colon cancer patients diagnosed in England 2005-2010, with individually-linked cancer registry, primary and secondary care data. In addition to multivariable analyses we also used potential-outcomes methods.

RESULTS

Colon cancer patients with comorbidities consulted their GP more frequently with cancer symptoms during the pre-diagnostic year, compared with non-comorbid cancer patients. EP occurred more frequently in patients with 'serious' or complex comorbidities (diabetes, cardiac and respiratory diseases) diagnosed/treated in hospital during the years pre-cancer diagnosis (43% EP in comorbid versus 27% in non-comorbid individuals; multivariable analysis Odds Ratio (OR), controlling for socio-demographic factors and symptoms: men OR = 2.40; 95% CI 2.0-2.9 and women OR = 1.98; 95% CI 1.6-2.4. Among women younger than 60, gynaecological (OR = 3.41; 95% CI 1.2-9.9) or recent onset gastro-intestinal conditions (OR = 2.84; 95% CI 1.1-7.7) increased the risk of EP. In contrast, primary care visits for hypertension monitoring decreased EPs for both genders.

CONCLUSIONS

Patients with comorbidities have a greater risk of being diagnosed with cancer as an emergency, although they consult more frequently with cancer symptoms during the year pre-cancer diagnosis. This suggests that comorbidities may interfere with diagnostic reasoning or investigations due to 'competing demands' or because they provide 'alternative explanations'. In contrast, the management of chronic risk factors such as hypertension may offer opportunities for earlier diagnosis. Interventions are needed to support the diagnostic process in comorbid patients. Appropriate guidelines and diagnostic services to support the evaluation of new or changing symptoms in comorbid patients may be useful.

Cause-specific mortality among Medicare beneficiaries with newly diagnosed non-Hodgkin lymphoma subtypes

BACKGROUND

As the US population ages and non-Hodgkin lymphoma (NHL)-specific mortality declines, deaths from causes other than NHL will become increasingly important in treatment decision making for older patients with NHL. The objective of the current study was to describe how the 5-year cumulative incidence of NHL-specific and other-cause mortality varies by subtype, age, comorbidity level, and time since diagnosis in older patients.

METHODS

Using the Surveillance, Epidemiology, and End Results cancer registry data linked to Medicare claims, patients aged ≥66 years were identified at the time of diagnosis with a first, primary NHL diagnosis from 2004 through 2013. Death certificate data and Fine-Gray competing risks models were used to estimate the 5-year cumulative incidence of NHL-specific and other-cause mortality by NHL subtype, age, and comorbidity level. Estimates were displayed over time using stacked cumulative incidence curves.

RESULTS

Among 30,666 patients with NHL, 32% died of NHL and 13% died of other causes within 5 years of diagnosis. The cumulative incidence of other-cause mortality increased with age and comorbidity level for all subtypes. Among patients with aggressive NHL subtypes, NHL-specific mortality exceeded other-cause mortality across all age groups, comorbidity levels, and number of years after diagnosis. For patients with indolent NHL subtypes, other-cause mortality was similar to or exceeded NHL-specific mortality, especially among older patients with severe comorbidity or with the indolent marginal zone, lymphoplasmacytic, and mycosis fungoides subtypes.

CONCLUSIONS

The findings of the current study suggest that mortality from causes other than NHL are important for patients of an older age, with a higher comorbidity level, and with indolent disease. Evidence from the current study can guide the development of tools for estimating individual prognosis that inform treatment discussions in patients with NHL.

Cancer and dementia: Two sides of the same coin?

Noncentral nervous system cancer and the brain share an interesting and complex relation, with an emerging body of evidence showing that cancer patients are at an increased risk of developing cognitive problems. In contrast, population-based studies consistently find an inverse link between cancer and dementia, that is patients with dementia having a lower risk of subsequently developing cancer, and cancer patients being less often diagnosed with dementia. Different biological processes such as inversely activated cell proliferation and survival pathways have been suggested to have an important role underlying this inverse association. However, the effect of methodological biases including surveillance or survival bias has not been completely ruled out, calling into question the inverse direction of the association between cancer and dementia. In fact, emerging evidence now suggests that cancer and dementia might share a positive association. This narrative review summarises the current literature on cancer, cognitive problems and dementia. Moreover, different strategies will be discussed to reduce the impact of potential methodological biases on the association between cancer and dementia, trying to reveal the true direction of this link.

Comparison of Comorbid Conditions Between Cancer Survivors and Age-Matched Patients Without Cancer

Background

Cancer survivors suffer from many comorbid conditions even after the cure of their cancers beyond 5 years. We explored the differences in the association of comorbid conditions between the cancer survivors and patients without cancer.

Methods

Electronic medical records of 280 adult cancer survivors and 280 age-matched patients without cancer in our suburban internal medicine office were reviewed.

Results

Mean age of the cancer survivors was 72.5 ± 13.1 years, and the age of the patients without cancer was 72.5 ± 12.8 years. The number of male cancer survivors was significantly higher than the female cancer survivors (52.5% vs. 47.5%, P < 0.001). There were significantly more Caucasians and other races (majority Asians) in the cancer survivor group compared to the patients without cancer group (81.8% vs. 79.3% and 4.6% vs. 0.4%, respectively, P < 0.05); while there were significantly less African Americans and Hispanics in the cancer survivor group compared to the patients without cancer group (10.0% vs. 12.8% and 3.6% vs. 7.5%, respectively, P < 0.05). Hypertension (64.3%), hyperlipidemia (56.1%), osteoarthritis (34.3%), hypothyroidism (21.8%), diabetes mellitus (21.8%) and coronary artery disease (21.8%) were the most common comorbid conditions observed in the cancer survivors. Osteoarthritis was the only comorbid condition that was significantly less frequently associated with the cancer survivors compared to the patients without cancer (42.9%, P < 0.05). The frequencies of all other comorbid conditions were not significantly different between the two groups. The majority of our group of cancer survivors had one or more types of the top six cancers which include prostate cancer (30.7%), melanoma (13.9%), thyroid cancer (11.4%), colon cancer (11.1%), uterine cancer (11.1%) and urinary bladder cancer (11.1%); while only a few had cancer of the cervix (6.1%) or breast cancer (0.3%). Use of aspirin, statin, vitamin D, multivitamins, metformin and fish oil supplement in the cancer survivors was similar to the patients without cancer.

Conclusions

Hypertension, hyperlipidemia, osteoarthritis, hypothyroidism, diabetes mellitus and coronary artery disease are the most common associated comorbid conditions in the cancer survivors. Osteoarthritis is less frequently seen in the cancer survivors compared to the patients without cancer. The frequencies of other comorbid conditions are not significantly different between the two groups.

Developing a comorbidity index for comparing cancer outcomes in Aboriginal and non-Aboriginal Australians

BACKGROUND

Comorbidity is known to increase risk of death in cancer patients, both Aboriginal and non-Aboriginal. The means of measuring comorbidity to assess risk of death has not been studied in any depth in Aboriginal patients in Australia. In this study, conventional and customized comorbidity indices were used to investigate effects of comorbidity on cancer survival by Aboriginal status and to determine whether comorbidity explains survival disparities.

METHODS

A retrospective cohort study was undertaken using linked population-based South Australian Cancer Registry and hospital inpatient data for 777 Aboriginal people diagnosed with primary cancer between 1990 and 2010 and 777 randomly selected non-Aboriginal controls matched by sex, birth year, diagnosis year and tumour type. A customised comorbidity index was developed by examining associations of comorbid conditions with 1-year all-cause mortality within the Aboriginal and non-Aboriginal patient groups separately using Cox proportional hazard model, adjusting for age, stage, sex and primary site. The adjusted hazard ratios for comorbid conditions were used as weights for these conditions in index development. The comorbidity index score for combined analyses was the sum of the weights across the comorbid conditions for each case from the two groups.

RESULTS

The two most prevalent comorbidities in the Aboriginal cohort were "uncomplicated" hypertension (13.5%) and diabetes without complications (10.8%), yet in non-Aboriginal people, the comorbidities were "uncomplicated" hypertension (7.1%) and chronic obstructive pulmonary disease (4.4%). Higher comorbidity scores were associated with higher all-cause and cancer-specific mortality. The new index showed minor improvements in predictive ability and model fit when compared with three common generic comparison indices. After accounting for the competing risk of other deaths, stage at diagnosis, socioeconomic status, area remoteness and comorbidity, the increased risk of cancer death in Aboriginal people remained.

CONCLUSIONS

Our new customised index performed at least as well, although not markedly better than the generic indices. We conclude that in broad terms, the generic indices are reasonably effective for adjusting for comorbidity when comparing survival outcomes by Aboriginal status. Irrespective of the index used, comorbidity has a negative impact on cancer-specific survival, but this does not fully explain the lower survival in Aboriginal patients.

Comorbidity Profiles and Their Effect on Treatment Selection and Survival among Patients with Lung Cancer

RATIONALE

Prior work has shown that the comorbidity burden is high among patients with lung cancer, but patterns of comorbid conditions have not been systematically identified.

OBJECTIVES

We aimed to identify distinct comorbidity profiles in a large sample of patients with lung cancer and to examine the effect of comorbidity profiles on treatment and survival.

METHODS

In this retrospective cohort study, we used latent class analysis to identify comorbidity profiles (or classes) in a population-based sample of 6,662 patients with bronchogenic carcinoma diagnosed between 2008 and 2013. We included specific comorbid conditions from the Charlson comorbidity index. We used Cox proportional hazards analysis to examine the effect of comorbidity class on survival.

RESULTS

The mean age of the patients was 70 years, and 50% were female, 34% were nonwhite, and 17% were never-smokers. Most patients had stage III (21%) or IV (53%) disease. Over half (51%) had at least one comorbid condition, whereas 18% had at least four comorbidities. Latent class analysis identified five distinct comorbidity classes. Classes were defined by progressively greater Charlson comorbidity index scores and were further distinguished by the presence or absence of specific types of vascular disease and diabetes. Comorbidity class was independently associated with treatment selection (P < 0.001) and survival (P < 0.0001), especially among patients with stages 0-II disease (P < 0.0001).

CONCLUSIONS

Patients with lung cancer can be described by distinct comorbidity profiles that are independent predictors of treatment and survival. These profiles provide a more nuanced understanding of how comorbidities cluster within patients with lung cancer and how they can be applied for descriptive purposes or in research.

Predictors of Unplanned Hospitalizations in Patients With Nonmetastatic Lung Cancer During Chemotherapy

PURPOSE/OBJECTIVES

To determine predictors of unplanned hospitalizations in patients with lung cancer to receive chemotherapy in the outpatient setting and examine the potential financial burden of these events.
.

DESIGN

Retrospective, longitudinal cohort study.
.

SETTING

The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database.
.

SAMPLE

Of 104,388 incident cases of lung cancer diagnosed from 2005-2009, 2,457 cases of patients with lung cancer who received outpatient chemotherapy were identified. Patients were aged 66 years or older at diagnosis, had uninterrupted Medicare Part A and B coverage with no health maintenance organization enrollment, and received IV chemotherapy at least once.
.

METHODS

Generalized estimating equations was used.
.

MAIN RESEARCH VARIABLES

Patient age, sex, race, marital status, degree of residential urbanization, median income, education level, stage, receipt of radiation therapy, and comorbidities.
.

FINDINGS

Younger age, non-White race, lower education, higher income, receipt of radiation therapy, and lack of preexisting comorbidity were significant predictors of the likelihood of an initial unplanned hospitalization for lung cancer. Non-White race, receipt of radiation therapy, and comorbidity were factors associated with an increased number of hospitalizations. 
.

CONCLUSIONS

Unplanned hospitalizations are frequent, disruptive, and costly. This article defines areas for further exploration to identify patients at high risk for unexpected complications. 
.

IMPLICATIONS FOR NURSING

This article represents a foundation for development of risk models to enable nursing evaluation of patient risk for chemotherapy treatment interruption and unplanned hospitalization.

Associations between physical activity and comorbidities in Korean cancer survivors

PURPOSE

To examine the associations between physical activity, metabolic risk factors, and comorbidities in Korean cancer survivors.

METHODS

We used multiple cross-sectional data sets from the 2007-2013 Korean National Health and Nutrition Examination Surveys (KNHANES) that included 1225 cancer survivors. Physical activity and comorbidities were self-reported. Metabolic risk factors were measured via blood analyses and included fasting glucose, insulin, total cholesterol, triglycerides, and blood pressure.

RESULTS

The sample was 38.4% male with a mean age of 59.9 ± 12.4 years. The most common cancers were stomach (22.5%), cervical (14.6%), breast (14.4%), and colorectal (11.8%). Cancer survivors meeting aerobic physical activity guidelines, compared to those completely inactive, had significantly lower fasting glucose (p = .001), HbA1c (p = .006), and systolic blood pressure (p = .001), and significantly lower risks of hypertension (odds ratio [OR] = 0.55, 95% confidential interval [CI] = 0.32 to 0.93), diabetes (OR = 0.64, 95% CI = 0.43 to 0.95), and arthritis (OR = 0.64, 95% CI = 0.41 to 0.99). Moreover, cancer survivors meeting strength exercise guidelines, compared to those not meeting guidelines, had significantly lower levels of fasting glucose (p = .001), HbA1c (p < .001), and total cholesterol (p = .031), and significantly lower risks of arthritis (OR = 0.42, 95% CI = 0.25 to 0.85) and back pain (OR = 0.50, 95% CI = 0.30 to 0.83).

CONCLUSION

Aerobic physical activity and strength exercise were significantly associated with lower risks of metabolic disturbances and comorbidities in Korean cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Cancer survivors should engage in at least 150 min/week of aerobic exercise and at least 2 days/week of strength exercise to lower their risk of metabolic disturbances and comorbidities.

The impact of comorbidity on the relationship between life stress and health-related quality of life for Chinese- and Korean-American breast cancer survivors

OBJECTIVE

The current study aimed to (1) identify the occurrence of comorbidities among Chinese- and Korean-American breast cancer survivors (BCS), (2) examine whether health-related quality of life (HRQOL) scores varied with the occurrence of specific comorbidities, and (3) investigate the mediating effect of comorbidities on the relationship between life stress and HRQOL.

DESIGN

Data were drawn from the parent study, a cross-sectional study investigating HRQOL in 86 Chinese- and 71 Korean-American BCS in Southern California. Two comorbidity-related variables, the occurrence of the specific comorbidity and the total number of comorbidities, were used to comprehensively reflect the characteristics of comorbidity.

RESULTS

Approximately 60% of participants had at least one comorbid disease, and osteoporosis was the most prevalent comorbidity. HRQOL differences based on the occurrence of a specific comorbidity were evident for arthritis, eye/vision problems, dental and gum problems, lymphedema, and psychological difficulties. Structural equation modeling demonstrated that the nature of the outcome variable, either physical or mental HRQOL, influenced the overall patterns of the findings. For example, life stress was significantly associated with the total number of comorbidities and in turn influenced physical HRQOL. In terms of mental HRQOL, arthritis, dental and gum problems, chronic pain, heart disease, lymphedema, and psychological difficulties mediated the relationship between life stress and mental HRQOL.

CONCLUSION

The current study adds to the existing literature by examining the mediating effects of comorbidity on the relationship between life stress and HRQOL. The findings support the need for health care professionals to clearly assess physical and psychological comorbidities when providing survivorship care for cancer survivors.

Postoperative mortality following multi-modality therapy for pancreatic cancer: Analysis of the SEER-Medicare data

BACKGROUND AND OBJECTIVES

The objective of this study was to examine post-operative mortality for elderly pancreatic cancer patients treated with multi-modality therapy.

METHODS

Surveillance Epidemiology and End Results (SEER) Medicare linked data were used to examine differences in mortality between patients who underwent pancreatectomy alone and those who had early (within 12 weeks) and late (after 12 weeks) adjuvant therapy (chemotherapy and/or radiotherapy).

RESULTS

Among 4,105 patients who underwent pancreatectomy between 1991 and 2008, 1-year mortality (Odds Ratio [OR] = 0.71; P-value = 0.000; 95% Confidence Interval [CI]: 0.60-0.85) and 6-month mortality (OR = 0.44; P-value = 0.000; 95%CI: 0.35-0.53) following pancreatectomy were significantly lower in the group that underwent pancreatectomy with early adjuvant therapy. Late adjuvant therapy group also had lower 1 year (OR = 0.51; P-value = 0.000; 95%CI: 0.43-0.61) and 6 months (OR = 0.14; P-value = 0.000; 95%CI: 0.10-0.17) mortality, compared to surgery alone.

CONCLUSIONS

Post-operative outcomes were better for patients treated with surgery with adjuvant therapy, with the late adjuvant therapy group having the best outcomes (lowest odds of 6 month and 1-year mortality following surgery). J. Surg. Oncol. 2017;115:158-163. © 2017 Wiley Periodicals, Inc.

Living with cancer and other chronic conditions: Patients' perceptions of their healthcare experience

Multimorbidity is known to contribute to the complexity of care for patients with cancer. This qualitative study begins to explore cancer patients' experience with multimodal treatments, that is, treatments for multiple chronic conditions, as well as issues related to navigating the healthcare system. Participants (n=10) were recruited from an ambulatory cancer centre in a large, university-affiliated hospital in Montreal, Quebec. Important challenges were reported in terms of striking a fine balance between acute health needs and underlying ongoing chronic condition(s), experiencing unforeseen treatment complications, and negotiating silos across medical specialties. Participants also wished to be better known by the healthcare team. When reporting a positive care coordination experience, participants often attributed it to the intervention by a nurse navigator. Lastly, participants expected a more personalized care approach and would have liked to be included in multidisciplinary board meetings. Study results underscore the impetus to better integrate care across diseases, enhance person-centred care, and support patients who strive to balance competing needs when facing multimorbidity.

Identification of disease comorbidity through hidden molecular mechanisms

Despite multiple diseases co-occur, their underlying common molecular mechanisms remain elusive. Identification of comorbid diseases by considering the interactions between molecular components is a key to understand the underlying disease mechanisms. Here, we developed a novel approach utilizing both common disease-causing genes and underlying molecular pathways to identify comorbid diseases. Our approach enables the analysis of common pathologies shared by comorbid diseases through molecular interaction networks. We found that the integration of direct genetic sharing and indirect high-level molecular associations revealed significantly strong consistency with known comorbid diseases. In addition, neoplasm-related diseases showed high comorbidity patterns within themselves as well as with other diseases, indicating severe complications. This study demonstrated that molecular pathway information could be used to discover disease comorbidity and hidden biological mechanism to understand pathogenesis and provide new insight on disease pathology.

Patients with soft tissue sarcoma comprise a higher probability of comorbidities than cancer-free individuals. A secondary data analysis

Soft tissue sarcoma comprises a heterogeneous group of solid malignant tumours. Comorbidities are important prognostic factors for survival and adversely impact quality of life. We examined the complex relationship between soft tissue sarcoma and comorbidities over time in a large population-based sample. The study uses routine data from the German statutory healthcare system (n = 2,615,865). Case identification of soft tissue sarcoma and comorbid diseases was based on ICD-10 codes and diagnostic modifiers. Uni- and multivariate regression models were used to obtain risk estimates for chronic somatic and mental comorbidities in soft tissue sarcoma patients compared to a cancer-free control group. At diagnosis, patients with soft tissue sarcoma were significantly more likely to be affected with prevalent bronchial asthma, ≥1 cardiovascular risk factor (hypertension, angina pectoris, heart failure, peripheral arterial disease and thrombosis), back pain, depression, anxiety disorder and adjustment disorder than cancer-free controls. During the course of disease, sarcoma patients were at a significantly higher risk to develop incident depression, anxiety disorder and adjustment disorder. Comorbidities need to be considered in clinical decision making regarding the treatment of soft tissue sarcoma patients. Psycho-oncological treatment should be incorporated into medical care of patients with sarcoma.

The Association between Charlson Comorbidity Index and the Medical Care Cost of Cancer: A Retrospective Study

Background. This study compared comorbidity-related medical care cost associated with different types of cancer, by examining breast (N = 287), colon (N = 272), stomach (N = 614), and lung (N = 391) cancer patients undergoing surgery. Methods. Using medical benefits claims data, we calculated Charlson Comorbidity Index (CCI) and total medical cost. The effect of comorbidity on the medical care cost was investigated using multiple regression and logistic regression models and controlling for demographic characteristics and cancer stage. Results. The treatment costs incurred by stomach and colon cancer patients were 1.05- and 1.01-fold higher, respectively, in patients with higher CCI determined. For breast cancer, the highest costs were seen in those with chronic obstructive pulmonary disease (COPD), but the increase in cost reduced as CCI increased. Colon cancer patients with diabetes mellitus and a CCI = 1 score had the highest medical costs. The lowest medical costs were incurred by lung cancer patients with COPD and a CCI = 2 score. Conclusion. The comorbidities had a major impact on the use of medical resources, with chronic comorbidities incurring the highest medical costs. The results indicate that comorbidities affect cancer outcomes and that they must be considered strategies mitigating cancer's economic and social impact.

Geriatric assessment-identified deficits in older cancer patients with normal performance status

BACKGROUND

We investigated whether a brief geriatric assessment (GA) would identify important patient deficits that could affect treatment tolerance and care outcomes within a sample of older cancer patients rated as functionally normal (80%-100%) on the Karnofsky performance status (KPS) scale.

METHODS

Cancer patients aged ≥65 years were assessed using a brief GA that included both professionally and patient-scored KPS and measures of comorbidity, polypharmacy, cognition, function, nutrition, and psychosocial status. Data were analyzed using descriptive statistics and multivariable logistic regression.

RESULTS

The sample included 984 patients: mean age was 73 years (range: 65-99 years), 74% were female, and 89% were white. GA was conducted before (23%), during (41%), or after (36%) treatment. Overall, 54% had a breast cancer diagnosis (n = 528), and 46% (n = 456) had cancers at other sites. Moreover, 81% of participants (n = 796) had both professionally and self-rated KPS ≥80, defined as functionally normal, and those patients are the focus of analysis. In this subsample, 550 (69%) had at least 1 GA-identified deficit, 222 (28%) had 1 deficit, 140 (18%) had 2 deficits, and 188 (24%) had ≥3 deficits. Specifically, 43% reported taking ≥9 medications daily, 28% had decreased social activity, 25% had ≥4 comorbidities, 23% had ≥1 impairment in instrumental activities of daily living, 18% had a Timed Up and Go time ≥14 seconds, 18% had ≥5% unintentional weight loss, and 12% had a Mental Health Index score ≤76.

CONCLUSION

Within this sample of older cancer patients who were rated as functionally normal by KPS, GA identified important deficits that could affect treatment tolerance and outcomes.

Conducting Retrospective Ontological Clinical Trials in ICD-9-CM in the Age of ICD-10-CM

OBJECTIVE

To quantify the impact of International Classification of Disease 10th Revision Clinical Modification (ICD-10-CM) transition in cancer clinical trials by comparing coding accuracy and data discontinuity in backward ICD-10-CM to ICD-9-CM mapping via two tools, and to develop a standard ICD-9-CM and ICD-10-CM bridging methodology for retrospective analyses.

BACKGROUND

While the transition to ICD-10-CM has been delayed until October 2015, its impact on cancer-related studies utilizing ICD-9-CM diagnoses has been inadequately explored.

MATERIALS AND METHODS

Three high impact journals with broad national and international readerships were reviewed for cancer-related studies utilizing ICD-9-CM diagnoses codes in study design, methods, or results. Forward ICD-9-CM to ICD-10-CM mapping was performing using a translational methodology with the Motif web portal ICD-9-CM conversion tool. Backward mapping from ICD-10-CM to ICD-9-CM was performed using both Centers for Medicare and Medicaid Services (CMS) general equivalence mappings (GEMs) files and the Motif web portal tool. Generated ICD-9-CM codes were compared with the original ICD-9-CM codes to assess data accuracy and discontinuity.

RESULTS

While both methods yielded additional ICD-9-CM codes, the CMS GEMs method provided incomplete coverage with 16 of the original ICD-9-CM codes missing, whereas the Motif web portal method provided complete coverage. Of these 16 codes, 12 ICD-9-CM codes were present in 2010 Illinois Medicaid data, and accounted for 0.52% of patient encounters and 0.35% of total Medicaid reimbursements. Extraneous ICD-9-CM codes from both methods (Centers for Medicare and Medicaid Services general equivalent mapping [CMS GEMs, n = 161; Motif web portal, n = 246]) in excess of original ICD-9-CM codes accounted for 2.1% and 2.3% of total patient encounters and 3.4% and 4.1% of total Medicaid reimbursements from the 2010 Illinois Medicare database.

DISCUSSION

Longitudinal data analyses post-ICD-10-CM transition will require backward ICD-10-CM to ICD-9-CM coding, and data comparison for accuracy. Researchers must be aware that all methods for backward coding are not comparable in yielding original ICD-9-CM codes.

CONCLUSIONS

The mandated delay is an opportunity for organizations to better understand areas of financial risk with regards to data management via backward coding. Our methodology is relevant for all healthcare-related coding data, and can be replicated by organizations as a strategy to mitigate financial risk.

Incident comorbidities and all-cause mortality among 5-year survivors of Stage I and II breast cancer diagnosed at age 65 or older: a prospective-matched cohort study

Five-year breast cancer survivors, diagnosed after 65 years of age, may develop more incident comorbidities than similar populations free of cancer. We investigated whether older breast cancer survivors have a similar comorbidity burden 6-15 years after cancer diagnosis to matched women free of breast cancer at start of follow-up and whether incident comorbidities are associated with all-cause mortality. In this prospective cohort study, 1,361 older 5-year early-stage breast cancer survivors diagnosed between 1990 and 1994 and 1,361 age- and health system-matched women were followed for 10 years. Adjudicated medical record review captured prevalent and incident comorbidities during follow-up or until death as collected from the National Death Index. Older 5-year breast cancer survivors did not acquire incident comorbidities more often than matched women free of breast cancer in the subsequent 10 years [hazard ratio (HR) 1.0, 95 % confidence interval (95 % CI) 0.93, 1.1]. Adjusted for cohort membership, women with incident comorbidities had a higher mortality rate than those without incident comorbidities (HR 4.8, 95 % CI 4.1, 5.6). A breast cancer history continued to be a hazard for mortality 6-15 years after diagnosis (HR 1.3, 95 % CI 1.1, 1.4). We found that older breast cancer survivors who developed comorbidities had an increased all-cause mortality rate even after adjusting for age and prevalent comorbidity burden. Additionally, survivors acquire comorbidities at a rate similar to older women free of breast cancer. These results highlight the association between comorbidity burden and long-term mortality risk among older breast cancer survivors and their need for appropriate oncology and primary care follow-up.

The impact of comorbidity on cancer survival: a review

Background

A number of studies have shown poorer survival among cancer patients with comorbidity. Several mechanisms may underlie this finding. In this review we summarize the current literature on the association between patient comorbidity and cancer prognosis. Prognostic factors examined include tumor biology, diagnosis, treatment, clinical quality, and adherence.

Methods

All English-language articles published during 2002–2012 on the association between comorbidity and survival among patients with colon cancer, breast cancer, and lung cancer were identified from PubMed, MEDLINE and Embase. Titles and abstracts were reviewed to identify eligible studies and their main results were then extracted.

Results

Our search yielded more than 2,500 articles related to comorbidity and cancer, but few investigated the prognostic impact of comorbidity as a primary aim. Most studies found that cancer patients with comorbidity had poorer survival than those without comorbidity, with 5-year mortality hazard ratios ranging from 1.1 to 5.8. Few studies examined the influence of specific chronic conditions. In general, comorbidity does not appear to be associated with more aggressive types of cancer or other differences in tumor biology. Presence of specific severe comorbidities or psychiatric disorders were found to be associated with delayed cancer diagnosis in some studies, while chronic diseases requiring regular medical visits were associated with earlier cancer detection in others. Another finding was that patients with comorbidity do not receive standard cancer treatments such as surgery, chemotherapy, and radiation therapy as often as patients without comorbidity, and their chance of completing a course of cancer treatment is lower. Postoperative complications and mortality are higher in patients with comorbidity. It is unclear from the literature whether the apparent undertreatment reflects appropriate consideration of greater toxicity risk, poorer clinical quality, patient preferences, or poor adherence among patients with comorbidity.

Conclusion

Despite increasing recognition of the importance of comorbid illnesses among cancer patients, major challenges remain. Both treatment effectiveness and compliance appear compromised among cancer patients with comorbidity. Data on clinical quality is limited.

Perioperative assessment of the cancer patient

The perioperative evaluation of patients with cancer differs from that of other patients in that the former may have received prior chemotherapy or radiation therapy. These cancer treatments have a wide range of side effects and complications that may affect patients' perioperative risks. The perioperative specialist who evaluates the cancer patient prior to surgery must be familiar with the effects of these treatments and their consequences for the major organ systems. The perioperative specialist must also be familiar with the natural history of cancer and have a basic understanding of how cancer affects the body. In this article, we review the perioperative concerns that are specific to the patient with cancer.

A framework for understanding cancer comparative effectiveness research data needs

OBJECTIVES

Randomized controlled trials remain the gold standard for evaluating cancer intervention efficacy. Randomized trials are not always feasible, practical, or timely and often don't adequately reflect patient heterogeneity and real-world clinical practice. Comparative effectiveness research can leverage secondary data to help fill knowledge gaps randomized trials leave unaddressed; however, comparative effectiveness research also faces shortcomings. The goal of this project was to develop a new model and inform an evolving framework articulating cancer comparative effectiveness research data needs.

STUDY DESIGN AND SETTING

We examined prevalent models and conducted semi-structured discussions with 76 clinicians and comparative effectiveness research researchers affiliated with the Agency for Healthcare Research and Quality's cancer comparative effectiveness research programs.

RESULTS

A new model was iteratively developed and presents cancer comparative effectiveness research and important measures in a patient-centered, longitudinal chronic care model better reflecting contemporary cancer care in the context of the cancer care continuum, rather than a single-episode, acute-care perspective.

CONCLUSION

Immediately relevant for federally funded comparative effectiveness research programs, the model informs an evolving framework articulating cancer comparative effectiveness research data needs, including evolutionary enhancements to registries and epidemiologic research data systems. We discuss elements of contemporary clinical practice, methodology improvements, and related needs affecting comparative effectiveness research's ability to yield findings clinicians, policy makers, and stakeholders can confidently act on.

Different effects of multiple health status indicators on breast and colorectal cancer screening in a nationally representative US sample

OBJECTIVE

To examine the independent associations between multiple health status indicators and breast and colorectal cancer screening (CRCS) in a national US sample.

STUDY DESIGN AND SETTING

Analysis of cross-sectional data from the 2005 National Health Interview Survey (NHIS) involved 5115 men and 7100 women aged 50 years and older.

MEASURES

Health status indicators included: self-reported perceived health status, number of chronic conditions, and functional limitation due to a chronic condition. Individuals were considered adherent to CRCS guidelines if they reported having a home-based fecal occult blood test in the past year or endoscopy in the past 10 years. Women were adherent to breast cancer screening guidelines if they reported having a mammogram in the previous 2 years. Statistical analyses were conducted using SUDAAN software to account for the complex sampling of the NHIS survey. Logistic regression was used to examine associations between each of the health status indicators and screening adherence for CRCS and mammography and to calculate estimated screening rates.

RESULTS

The three health status indicators were independently and differentially associated with screening adherence. Poor perceived health was associated with lower mammography among women, whereas a greater number of chronic conditions were consistently associated with greater screening. In adjusted analyses, functional limitation was only significantly associated with greater CRCS among women.

CONCLUSIONS

Our analyses included three common indicators of health status and provide new evidence of their complex associations with cancer screening. Future studies must examine the mechanisms by which these indicators influence screening recommendations and adherence among older adults over time.

Preoperative evaluation of the oncology patient

This review focuses on the unique perioperative concerns of patients with cancer undergoing surgery. Importantly, not all surgical procedures are intended as cures: some patients who have cancer also undergo surgery for noncancer issues. Also, many of these patients have undergone prior chemotherapy and/or radiation therapy that can introduce perioperative concerns. These previous treatments, unique to patients with cancer, can adversely affect their cardiovascular, pulmonary, gastrointestinal, renal, and endocrine systems. This article also summarizes many important effects of a wide variety of chemotherapy agents in use today.

Comparative evaluation of ASA classification and ACE-27 index as morbidity scoring systems in oncosurgeries

The primary intention of the study was to find out whether Adult Comorbidity Evaluation Index (ACE-27) was better than the American Society of Anaesthesiologists’ (ASA) risk classification system in predicting postoperative morbidity in head and neck oncosurgery. Another goal was to identify other risk factors for complications which are not included in these indexes. Univariate and multivariate analyses were performed on 250 patients to determine the impact of seven variables on morbidity-ACE-27 grade, ASA class, age, sex, duration of anaesthesia, chemotherapy and radiotherapy. In univariate analysis ACE-27 index, ASA score, duration of anaesthesia, radiotherapy and chemotherapy were significant. As both comorbidity scales were significant in univariate analysis they were analyzed together and separately in multivariate analysis to illustrate their individual strength. In the first multivariate analysis (excluding ACE-27 grade) ASA class, duration of anaesthesia, radiotherapy and chemotherapy were significant. The positive predictive value (PPV) of this model to predict morbidity was 60.86% and negative predictive value (NPV) was 77.9%. The sensitivity was 75% and specificity 62.2%. In the second multivariate analysis (excluding ASA class) ACE-27 grade, duration of anaesthesia and radiotherapy were significant. The PPV of this model to predict morbidity was 62.1% and NPV was 76.5%. The sensitivity was 61.6% and specificity 70.9%. In the third multivariate analysis which included both ACE-27 grade and ASA class only ASA class, duration of anaesthesia, radiotherapy and chemotherapy remained significant. In conclusion, ACE-27 grade and ASA class were reliable predictors of major complications but ASA class had more impact on complications than ACE-27 grade.

Under-representation of the elderly in cancer clinical trials

Cancer predominantly affects the elderly, but those over 65 years of age are significantly and consistently under-represented in clinical trials of potential new treatments. How important is this to cancer care in the elderly, are there identifiable reasons for the disparity and can anything be done to redress the imbalance?

Adverse events in hospice and palliative care: a pilot study to determine feasibility of collection and baseline rates

BACKGROUND

Continuous quality improvement is fundamental in all health care, including hospice and palliative care. Identifying and systematically reducing symptomatic adverse events is limited in hospice and palliative care because these events are mostly attributed to disease progression.

OBJECTIVES

The aim of this study was to assess the feasibility of symptomatic adverse events in hospice and palliative care and assessing their incidence.

METHODS

A retrospective, consecutive cohort of notes from a specialist palliative care inpatient service was surveyed by a clinical nurse consultant for symptomatic adverse events: falls, confusion, decreased consciousness, hypo- and hyperglycaemia, urinary retention, and hypotension. Demographic and clinical factors were explored for people at higher risk.

RESULTS

Data were available on the most recent admissions of 65 people, generating >900 inpatient days. Fifty people (78%) had events precipitating admission, of whom 31 (62%) had at least one further event during admission. Eleven of 15 people who were admitted without an event experienced at least one during their admissions. Only 4 did not have an adverse event. During their stay, there were 0.13 (standard deviation [SD] = 0.19) events per patient per day. No drug-drug or drug-host events were noted. No clinical or demographic factors predicted groups at higher risk.

CONCLUSIONS

This pilot highlights the feasibility of collecting, and ubiquity of, symptomatic adverse events, and forms a baseline against which future interventions to decrease the frequency or intensity can be measured. Given the frailty of hospice and palliative patients, any adverse event is likely to accelerate irreversibly their systemic decline.