The individual and combined effect of colorectal cancer and diabetes on health-related quality of life and sexual functioning: results from the PROFILES registry

Complications and chemotherapy have little impact on postoperative quality of life after pancreaticoduodenectomy - a cohort study

BACKGROUND

With the poor prognosis of pancreatic cancer and the high rate of postoperative complications after pancreaticoduodenectomy, it is important to evaluate how the operation affects patients' quality of life.

METHODS

This single-centre study included all patients undergoing pancreaticoduodenectomy from 2006 to 2016. Quality of life was measured with two questionnaires preoperatively, and at 6 and 12 months postoperatively. Comparisons between groups were made using a linear mixed models analysis.

RESULTS

Of 279 patients planned for pancreaticoduodenectomy, 245 underwent the operation. The postoperative response rates were all 80% or more. Differences were found in one domain between the early and late time periods and three domains between patients receiving and not receiving adjuvant chemotherapy. No significant differences were found between patients with and without severe postoperative complications. However, the demographic variables of age group, sex, preoperative diabetes and smoking all exerted a significant impact on postoperative quality of life.

CONCLUSION

While little or no impact was shown for the factors of postoperative complications, time period and adjuvant chemotherapy, demographic data, such as age, sex, preoperative diabetes and smoking, had considerable impacts on postoperative quality of life after pancreaticoduodenectomy.

A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data

Patients with cancer, such as breast and colorectal cancer, often experience different symptoms post-chemotherapy. The symptoms could be fatigue, gastrointestinal (nausea, vomiting, lack of appetite), psychoneurological symptoms (depressive symptoms, anxiety), or other types. Previous research focused on understanding the symptoms using survey data. In this research, we propose to utilize the data within the Electronic Health Record (EHR). A computational framework is developed to use a natural language processing (NLP) pipeline to extract the clinician-documented symptoms from clinical notes. Then, a patient clustering method is based on the symptom severity levels to group the patient in clusters. The association rule mining is used to analyze the associations between symptoms and patient attributes (smoking history, number of comorbidities, diabetes status, age at diagnosis) in the patient clusters. The results show that the various symptom types and severity levels have different associations between breast and colorectal cancers and different timeframes post-chemotherapy. The results also show that patients with breast or colorectal cancers, who smoke and have severe fatigue, likely have severe gastrointestinal symptoms six months after the chemotherapy. Our framework can be generalized to analyze symptoms or symptom clusters of other chronic diseases where symptom management is critical.

Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data

This research extracted patient-reported symptoms from free-text EHR notes of colorectal and breast cancer patients and studied the correlation of the symptoms with comorbid type 2 diabetes, race, and smoking status. An NLP framework was developed first to use UMLS MetaMap to extract all symptom terms from the 366,398 EHR clinical notes of 1694 colorectal cancer (CRC) patients and 3458 breast cancer (BC) patients. Semantic analysis and clustering algorithms were then developed to categorize all the relevant symptoms into eight symptom clusters defined by seed terms. After all the relevant symptoms were extracted from the EHR clinical notes, the frequency of the symptoms reported from colorectal cancer (CRC) and breast cancer (BC) patients over three time-periods post-chemotherapy was calculated. Logistic regression (LR) was performed with each symptom cluster as the response variable while controlling for diabetes, race, and smoking status. The results show that the CRC and BC patients with Type 2 Diabetes (T2D) were more likely to report symptoms than CRC and BC without T2D over three time-periods in the cancer trajectory. We also found that current smokers were more likely to report anxiety (CRC, BC), neuropathic symptoms (CRC, BC), anxiety (BC), and depression (BC) than non-smokers.

Association of Comorbid Diabetes With Clinical Outcomes and Healthcare Utilization in Colorectal Cancer Survivors

OBJECTIVES

To compare clinical outcomes and healthcare utilization in colorectal cancer (CRC) survivors with and without diabetes.

SAMPLE & SETTING

CRC survivors (N = 3,287) were identified from a statewide electronic health record database using International Classification of Diseases (ICD) codes. Data were extracted on adults aged 21 years or older with an initial diagnosis of stage II or III CRC with diabetes present before CRC diagnosis or no diagnosis of diabetes (control).

METHODS & VARIABLES

ICD codes were used to extract diabetes diagnosis and clinical outcome variables. Healthcare utilization was determined by encounter type. Data were analyzed using descriptive statistics, multivariable logistic, and Cox regression.

RESULTS

CRC survivors with diabetes were more likely to develop anemia and infection than CRC survivors without diabetes. In addition, CRC survivors with diabetes were more likely to utilize emergency resources sooner than CRC survivors without diabetes.

IMPLICATIONS FOR NURSING

Oncology nurses can facilitate the early identification of high-risk survivor groups, reducing negative clinical outcomes and unnecessarily high healthcare resource utilization in CRC survivors with diabetes.

A comparison of the four healthy days measures (HRQOL-4) with a single measure of self-rated general health in a population-based health survey in New York City

Background

Data on health-related quality of life (HRQOL) can be used to track health disparities, assess the impact of chronic diseases, and predict mortality. The Centers for Disease Control and Prevention’s “Healthy Days Measures” (HRQOL-4) assesses four key domains: self-rated general health, physical health, mental health, and activity limitations. The domains are not easily combined to summarize overall HRQOL, and some evidence suggests that self-rated general health may be an adequate proxy indicator for overall HRQOL. This study compares self-rated general health as a solitary measure of HRQOL with two summary indices of the HRQOL-4 as a predictor of adverse health conditions in a representative sample of adult New York City residents.

Methods

The 2017 NYC Social Determinants of Health survey implemented by the New York City Department of Health and Mental Hygiene collected data from a representative sample of New Yorkers (n = 2335) via phone, mail, and web. We compared the information criteria and predictive power of self-rated general health with two alternative summary indices of the HRQOL-4 in predicting self-reported health conditions (hypertension, diabetes, obesity, non-specific psychological distress, and a summary indicator for at least one those four morbidities).

Results

Overall, 19.1% (95% CI: 16.9, 21.5) of respondents reported that they had fair or poor general health. Self-rated general health was significantly associated with days of poor physical health, poor mental health, and activity limitations (p < 0.001 for each). While the Akaike and Bayesian information criteria suggested that the summary indices of the HRQOL-4 produced marginally better models for predicting adverse health conditions, self-rated general health had slightly higher predictive power than did the summary indices in all models of physical health outcomes as measured by Tjur’s pseudo-R² and the area under the curve.

Conclusion

We found very small differences between self-rated general health and the summary indices of the HRQOL-4 in predicting health conditions, suggesting self-rated general health is an appropriate proxy measure of overall HRQOL. Because it can be measured with a single question rather than four, it might be the most simple, efficient, and cost-effective method of summarizing HRQOL in large population-based surveys.

The Impact of Comorbid Diabetes Type 2 on Quality of Life in Cancer Patients Undergoing Chemotherapy

BACKGROUND AND OBJECTIVE

Cancer and diabetes are two highly prevalent diseases worldwide and greatly influence quality of life of those suffering from it. The study aimed to compare quality of life in patients diagnosed with cancer and diabetes with those without diabetes both undergoing chemotherapy and to investigate the factors responsible for the difference between the two groups.

METHODS

A convenience sample of 101 participants who had cancer and type 2 diabetes and 99 who had cancer without diabetes were used.

RESULTS

Patients with comorbid diabetes were divided based on their diabetes duration and whether they had glycaemic control or not. Diabetic cancer patients without glycaemic control had lower scores in global health status and in physical and emotional functioning compared to diabetic cancer patients with glycaemic control and patients without diabetes (p < .05). After adjusting for demographic characteristics, the differences between the group with diabetes and without glycaemic control and the other two groups regarding global health status were statistically significant (p < .05). Patients with more than a 7-year history of diabetes had a significantly lower emotional functioning than the no diabetes group and lower global health status score than both of the other groups (p < .05). After adjusting for clinical and demographic characteristics, only the difference between the ≥ 7 years diabetes duration group and the no diabetes groups remained significant.

CONCLUSION

The presence of diabetes in cancer patients who underwent chemotherapy seems to negatively influence certain domains of quality of life and this may be affected by the duration of diabetes and whether glycaemic control has been achieved or not.

Impact of Diabetes on the Symptoms of Breast Cancer Survivors

OBJECTIVES

To examine the impact of diabetes on the symptoms of women with breast cancer.

SAMPLE & SETTING

121 women with breast cancer who self-identified as having a diabetes diagnosis and 1,006 women with breast cancer without diabetes from 97 sites across the United States.

METHODS & VARIABLES

Symptom scores for depression, anxiety, sexual function, peripheral neuropathy, physical function, attention function, sleep disturbance, and fatigue were compared between women with breast cancer and diabetes and women with breast cancer without diabetes, controlling for age, education, income, marital status, and body mass index (BMI).

RESULTS

Women with breast cancer and diabetes who were three to eight years postdiagnosis reported poorer physical and attention function, more sleep disturbance, and greater fatigue than women with breast cancer without diabetes. Age, education, income, and BMI were independent predictors of symptoms experienced by women with breast cancer.

IMPLICATIONS FOR NURSING

Oncology nurses can assess and monitor women with breast cancer and diabetes for increased post-treatment sequelae. If problematic symptoms are identified, implementing treatment plans can decrease symptom burden and increase quality of life for women with breast cancer and diabetes.

Downregulated Tim-3 expression is responsible for the incidence and development of colorectal cancer

The present study aimed to investigate the role of T cell immunoglobulin domain and mucin-3 (Tim-3) in its gene and protein forms in colorectal cancer (CRC), and to verify the significance of Tim-3 expression in patients with CRC. A prospective analysis of 258 patients with CRC and 246 normal controls was conducted between December 2012 and June 2015. Intestinal samples were collected, including of CRC tissues, paracancerous tissues and normal colon mucosa tissues. Peripheral venous blood samples were also collected. Polymerase chain reaction (PCR) amplification, reverse transcription-quantitative PCR (RT-qPCR) and western blot analysis was performed for the detection and evaluation of Tim-3 gene and protein in various tissues. PCR analysis indicated that the T and G alleles of -882C/T and 4259T/G are associated with a significantly increased risk of CRC. Following the confirmation of Tim-3 expression in CRC tissues, RT-qPCR detection and western blot analysis revealed clear downregulation of Tim-3 mRNA and protein expression in the blood and tissue samples obtained from patients with CRC, as compared with in the corresponding control samples. Similar trends of decreased Tim-3 mRNA levels and protein expression were observed in CRC tissues compared with in the paracancerous and the normal colon mucosa tissues. In addition, the mRNA and protein expression levels in the paracancerous tissues were lower than those in the normal colon mucosa tissues. Furthermore, significantly lower Tim-3 mRNA levels were observed in patients with a tumor size >5 cm, a poor differentiation degree, higher tumor-node-metastasis stage (stage III-IV), and lymph node and distant metastasis. Collectively, genetic changes to Tim-3, expressed as polymorphisms in Tim-3, and decreased mRNA/protein expression may be partially responsible for the incidence and development of CRC.

Does the hospitalization after a cancer diagnosis modify adherence to process indicators of diabetes care quality?

AIMS

This study was designed to answer the question whether surgery due to newly diagnosed cancer may modify quality of diabetes' management, as suggested by current guidelines.

METHODS

Adherence to guideline composite indicator (GCI), a process indicator including one annual assessment of HbA1c and at least two among eye examination, serum lipids measurement and microalbuminuria, was evaluated between years 2011-2012 and 2014-2015 in 158,069 diabetic patients living in Tuscany, Italy, on 1 January 2011 and surviving on 31 December 2015, of whom 661 were hospitalized in index year 2013 for a surgery procedure due to a newly incident cancer. Difference in GCI modification (DELTA_GCI) of these patients was compared with that of diabetic people without cancer, strictly matched for main confounders by means of a propensity score.

RESULTS

In diabetic patients with cancer, GCI adherence increased by about 8 % between years 2011-2012 and 2014-2015. When compared with controls, DELTA_GCI increased by 6 % in cancer group compared with controls (p < 0.05), but any significance was lost after matching the groups by propensity score (3 %; p = NS).

CONCLUSIONS

Our study suggests that a hospitalization for a surgical procedure due to a newly diagnosed cancer does not influence the compliance to a quality process indicator of diabetes care such as GCI.

Prospectively measured lifestyle factors and BMI explain differences in health-related quality of life between colorectal cancer patients with and without comorbid diabetes

PURPOSE

This study aimed to assess the longitudinal association between lifestyle factors, body mass index (BMI), and health-related quality of life (HRQoL) among colorectal cancer patients with (CRCDM+) and without diabetes (CRCDM-).

METHODS

Data from a longitudinal study among CRC patients diagnosed between 2000 and 2009 were used. Clinical characteristics were retrieved from the Netherlands Cancer Registry and questionnaires were sent in 2010, 2011, and 2012 using the Patient Reported Outcomes Following Initial Treatment and Long term Evaluation of Survivorship (PROFILES) registry. Lifestyle (including moderate-to-vigorous physical activity (MVPA), smoking and alcohol use), BMI, diabetes status, and HRQoL were assessed in the questionnaire.

RESULTS

One thousand seven hundred thirty-nine (49 %) patients responded to ≥2 questionnaires, of whom 126 CRCDM+ and 789 CRCDM- patients were included. CRCDM+ patients had a higher BMI (29.1 ± 4.2 vs. 26.4 ± 3.7 kg/m(2)), whereas the number of alcohol users was lower (50 vs. 70 %, p value <0.0001) among CRCDM+ as compared to CRCDM- patients. Analyses adjusted for sociodemographic and cancer characteristics showed that CRCDM+ patients reported statistically significantly lower physical function (beta = -5.76; SE = 1.67), global QoL (beta = -4.31; SE = 1.48), and more symptoms of fatigue (beta = 5.38; SE = 1.95) than CRCDM- patients. However, these effects disappeared after adjustments for lifestyle factors and BMI which were all significant predictors of HRQoL. Additional adjustment for comorbidity further attenuated the main effect of DM on HRQoL.

CONCLUSIONS

Diabetes was not independently associated with HRQoL but deteriorated HRQoL among CRCDM+ patients seem to be explained by an unhealthier lifestyle and other comorbid conditions. Moreover, residual confounding cannot be ruled out.

The impact of having both cancer and diabetes on patient-reported outcomes: a systematic review and directions for future research

Purpose

This systematic review aims to summarize the current literature regarding potential effects of having both cancer and diabetes on patient-reported outcomes (PROs) and to provide directions for future research.

Methods

MEDLINE, The Cochrane Library, CINAHL, and PsycINFO were searched from inception to January 2015. All English peer-reviewed studies that included patients with both cancer and diabetes and assessed PROs were included. All included studies were independently assessed on methodological quality by two investigators.

Results

Of the 3553 identified studies, 10 studies were included and all were considered of high (40 %) or adequate (60 %) methodological quality. Eight of the 10 studies focused on health-related quality of life (HRQoL), functioning, or symptoms and 2 studies assessed diabetes self-management. Overall, HRQoL and functioning was lower, and symptoms were higher among patients with both cancer and diabetes as compared to having cancer or diabetes alone. Furthermore, one study reported that diabetes self-management was impaired after chemotherapy.

Conclusions

Having both cancer and diabetes resulted in worse PROs compared to having either one of the diseases, however, the considerable heterogeneity of the included studies hampered strong conclusions. Future studies are needed as this research area is largely neglected. As the majority of the included studies focused on HRQoL, future research should address the impact of both diseases on other PROs such as depression, patient empowerment and self-management.

Implications for Cancer Survivor

Having both cancer and diabetes might result in worse PROs, however, more research is needed as current evidence is scarce.

Electronic supplementary material

The online version of this article (doi:10.1007/s11764-015-0486-3) contains supplementary material, which is available to authorized users.