Hyperglycemic-Inducing Neoadjuvant Agents Used in Treatment of Solid Tumors: A Review of the Literature

Intermittent fasting and its impact on toxicities, symptoms and quality of life in patients on active cancer treatment

Intermittent fasting is a dietary intervention that is increasingly being tested for positive outcomes in patients receiving cancer treatment. In this review, we examine the impact of intermittent fasting on symptoms, toxicities, and quality of life in patients undergoing cancer therapy and highlight unmet investigative areas to prompt future research. While current evidence is preliminary and conclusions mixed, some promising clinical studies suggest that intermittent fasting interventions may improve fatigue and reduce gastrointestinal toxicities in certain patients with cancer. Emerging clinical evidence also demonstrates that intermittent fasting may reduce off-target DNA damage, and induce favorable cellular-level immune remodeling. Furthermore, intermittent fasting has the potential to lower hyperglycemia and the ratio of fat to lean body mass, which may benefit patients at risk of hyperglycemia and weight-related adverse effects of some common pharmacological cancer treatments. Larger controlled studies are necessary to evaluate intermittent fasting in relation to these endpoints and determine the effectiveness of intermittent fasting as an adjunct intervention during cancer care. Future cancer trials should evaluate intermittent fasting diets in the context of multimodal diet, exercise, and nutrition strategies, and also evaluate the impact of intermittent fasting on other important areas such as the circadian system and the gut microbiome.

Influence of blood glucose fluctuations on chemotherapy efficacy and safety in type 2 diabetes mellitus patients complicated with lung carcinoma

BACKGROUND

Patients with type 2 diabetes mellitus (T2DM) have large fluctuations in blood glucose (BG), abnormal metabolic function and low immunity to varying degrees, which increases the risk of malignant tumor diseases and affects the efficacy of tumor chemotherapy. Controlling hyperglycemia may have important therapeutic implications for cancer patients.

AIM

To clarify the influence of BG fluctuations on chemotherapy efficacy and safety in T2DM patients complicated with lung carcinoma (LC).

METHODS

The clinical data of 60 T2DM + LC patients who presented to the First Affiliated Hospital of Ningbo University between January 2019 and January 2021 were retrospectively analyzed. All patients underwent chemotherapy and were grouped as a control group (CG; normal BG fluctuation with a mean fluctuation < 3.9 mmol/L) and an observation group (OG; high BG fluctuation with a mean fluctuation ≥ 3.9 mmol/L) based on their BG fluctuations, with 30 cases each. BG-related indices, tumor markers, serum inflammatory cytokines and adverse reactions were comparatively analyzed. Pearson correlation analysis was performed to analyze the correlation between BG fluctuations and tumor markers.

RESULTS

The fasting blood glucose and 2-hour postprandial blood glucose levels in the OG were notably elevated compared with those in the CG, together with markedly higher mean amplitude of glycemic excursions (MAGE), mean of daily differences, largest amplitude of glycemic excursions and standard deviation of blood glucose (P < 0.05). In addition, the OG exhibited evidently higher levels of carbohydrate antigen 19-9, carbohydrate antigen 125, carcinoembryonic antigen, neuron-specific enolase, cytokeratin 19, tumor necrosis factor-α, interleukin-6, and high-sensitivity C-reactive protein than the CG (P < 0.05). Pearson analysis revealed a positive association of MAGE with serum tumor markers. The incidence of adverse reactions was significantly higher in the OG than in the CG (P < 0.05).

CONCLUSION

The greater the BG fluctuation in LC patients after chemotherapy, the more unfavorable the therapeutic effect of chemotherapy; the higher the level of tumor markers and inflammatory cytokines, the more adverse reactions the patient experiences.

Drug-induced hyperglycemia and diabetes

BACKGROUND

Drug-induced hyperglycemia and diabetes have negative and potentially serious health consequences but can often be unnoticed.

METHODS

We reviewed the literature searching Medline database for articles addressing drug-induced hyperglycemia and diabetes up to January 31, 2023. We also selected drugs that could induce hyperglycemia or diabetes according official data from drug information databases Thériaque and Micromedex. For each selected drug or pharmacotherapeutic class, the mechanisms of action potentially involved were investigated. For drugs considered to be at risk of hyperglycemia or diabetes, disproportionality analyses were performed using data from the international pharmacovigilance database VigiBase. In order to detect new pharmacovigilance signals, additional disproportionality analyses were carried out for drug classes with more than 100 cases reported in VigiBase, but not found in the literature or official documents.

RESULTS

The main drug classes found to cause hyperglycemia are glucocorticoids, HMG-coA reductase inhibitors, thiazide diuretics, beta-blockers, antipsychotics, fluoroquinolones, antiretrovirals, antineoplastic agents and immunosuppressants. The main mechanisms involved are alterations in insulin secretion and sensitivity, direct cytotoxic effects on pancreatic cells and increases in glucose production. Pharmacovigilance signal were found for a majority of drugs or pharmacological classes identified as being at risk of diabetes or hyperglycemia. We identified new pharmacovigilance signals with drugs not known to be at risk according to the literature or official data: phosphodiesterase type 5 inhibitors, endothelin receptor antagonists, sodium oxybate, biphosphonates including alendronic acid, digoxin, sartans, linosipril, diltiazem, verapamil, and darbepoetin alpha. Further studies will be needed to confirm these signals.

CONCLUSIONS

The risks of induced hyperglycemia vary from one drug to another, and the underlying mechanisms are multiple and potentially complex. Clinicians need to be vigilant when using at-risk drugs in order to detect and manage these adverse drug reactions. However, it is to emphasize that the benefits of appropriately prescribed treatments most often outweigh their metabolic risks.

Body Mass Index is related to short-term retinal worsening in type 2 diabetes mellitus patients treated with anticancer drugs

BACKGROUND

In cancer patients with diabetes, anticancer drugs (ADs) may negatively affect the course of diabetes vascular complications. The short-term effects of ADs on type 2 diabetes (T2DM) retinopathy are poorly known. This study evaluated the short-term effects of different classes of ADs on diabetic retinopathy (DR) and clinical risk factors for retinal worsening (RW) in cancer patients affected by T2DM.

METHODS

Retrospective single-center study evaluating 168 patients with T2DM and cancer. The diagnosis of T2DM preceded those of cancer in all patients. We evaluated the retinal short-term effects within the six months after the first-line ADs treatment.

RESULTS

After ADs, 6% of patients had a short-term RW. BMI is positively associated with the risk of RW (OR 1.45, 95% confidence interval: 1.1-1.9, P<0.005). Patients treated with alkylating agents and topoisomerase inhibitors have an increased risk of RW (P=0.049 and P=0.057, respectively) and a significantly higher HDL level (P<0.01).

CONCLUSIONS

To our knowledge, this study is the first investigating the short-term impact of ADs on DR of T2DM patients. Moreover, we provide information arose from a real-world setting. As confirmed by other studies, these findings could help to identify patients at risk for short-term RW, who should be promptly referred to the ophthalmologist for the prevention of visual impairment.

Diabetes management in cancer patients. An Italian Association of Medical Oncology, Italian Association of Medical Diabetologists, Italian Society of Diabetology, Italian Society of Endocrinology and Italian Society of Pharmacology multidisciplinary consensus position paper

Cancer management has significantly evolved in recent years, focusing on a multidisciplinary team approach to provide the best possible patient care and address the various comorbidities, toxicities, and complications that may arise during the patient's treatment journey. The co-occurrence of diabetes and cancer presents a significant challenge for health care professionals worldwide. Management of these conditions requires a holistic approach to improve patients' overall health, treatment outcomes, and quality of life, preventing diabetes complications and cancer treatment side-effects. In this article, a multidisciplinary panel of experts from different Italian scientific societies provide a critical overview of the co-management of cancer and diabetes, with an increasing focus on identifying a novel specialty field, 'diabeto-oncology', and suggest new co-management models of cancer patients with diabetes to improve their care. To better support cancer patients with diabetes and ensure high levels of coordinated care between oncologists and diabetologists, 'diabeto-oncology' could represent a new specialized field that combines specific expertise, skills, and training.

Prognostic Factors for Hyperglycemia in Patients Receiving Chemotherapy

BACKGROUND

Approximately 10% to 30% of patients who receive chemotherapy experience hyperglycemia, which can affect the adverse reactions and treatment efficacy of chemotherapy. However, there is a paucity of research to explore the factors affecting hyperglycemia and include them in nursing interventions.

OBJECTIVE

The aim of this study was to understand the prognostic factors of hyperglycemia in cancer patients on chemotherapy.

METHODS

This retrospective, descriptive study included 134 adult patients with cancer receiving chemotherapy at Keimyeng University Dongsan Hospital in Daegu between July 1, 2021, and March 31, 2022. Data were analyzed using frequency, percentage, average, and standard deviation statistics and compared by t test, χ2 test, and logistic regression analysis.

RESULTS

Logistic regression analysis revealed that sex (male) (95% confidence interval [CI], 7.24-745.49; odds ratio [OR], 73.48); education (95% CI, 4.02-201.59; OR, 28.46); exercise durations of 30 to 60 minutes (95% CI, 0.00-0.06; OR, 0.01), 60 to 90 minutes (95% CI, 0.00-0.05, OR = 0.01), and ≥90 minutes (95% CI, 0.00-0.42; OR, 0.03); exercise amount ≥ 2000 kcal/wk (95% CI, 0.01-0.77; OR, 0.06); and daily fat (95% CI, 1.02-1.14; OR, 1.08), protein (95% CI, 0.82-0.95; OR, 0.88), and seaweed (95% CI, 0.85-0.99; OR, 0.92) intake were significant predictors of hyperglycemia.

CONCLUSION

The prognostic factors of hyperglycemia should be included in nursing interventions to prevent and manage hyperglycemia, which in turn may help reduce adverse reactions related to chemotherapy and improve treatment efficacy.

IMPLICATIONS FOR PRACTICE

To prevent and manage hyperglycemia in patients on chemotherapy, prognostic factors, including exercise and protein, fat, and seaweed consumption, should be considered in nursing interventions. Particularly, in men and patients with low education levels who are at a high risk of hyperglycemia, nursing interventions for diet and exercise should be individualized.

Hyperglycemia and Glycemic Variability Associated with Glucocorticoids in Women without Pre-Existing Diabetes Undergoing Neoadjuvant or Adjuvant Taxane Chemotherapy for Early-Stage Breast Cancer

Glucocorticoids, which are administered with chemotherapy, cause hyperglycemia. Glycemic variability among breast cancer patients without diabetes is not well known. A retrospective cohort study was conducted involving early-stage breast cancer patients without diabetes who received dexamethasone prior to neoadjuvant or adjuvant taxane chemotherapy between August 2017-December 2019. Random blood glucose levels were analyzed, and steroid-induced hyperglycemia (SIH) was defined as a random glucose level of >140 mg/dL. A multivariate proportional hazards model was used to identify the risk factors of SIH. Out of 100 patients, the median age was 53 years (IQR: 45-63.5). A total of 45% of patients were non-Hispanic White, 28% Hispanic, 19% Asian, and 5% African American. The incidence of SIH was 67%, and glycemic fluctuations were highest in those with glucose levels of >200 mg/dL. Non-Hispanic White patients represented a significant predictor for time to SIH, with a hazard ratio of 2.5 (95% CI: 1.04, 5.95, p = 0.039). SIH was transient in over 90% of the patients, and only seven patients remained hyperglycemic after glucocorticoid and chemotherapy completion. Pretaxane dexamethasone-induced hyperglycemia was observed in 67% of the patients, with the greatest glycemic lability in those patients with blood glucose levels of >200 mg/dL. The non-Hispanic White patients had a higher risk of developing SIH.

Impact of diabetes (type 2) and glycemic control on health-related outcomes of patients receiving chemotherapy for non-metastatic breast cancer: a retrospective analysis

PURPOSE

To examine the impact of diabetes (type 2) and glycemic control on healthcare-related outcomes (healthcare utilization, adverse effects, and treatment modifications) in non-metastatic breast cancer (NMBC) patients during chemotherapy treatment.

METHODS

This was a retrospective study of 243 NMBC patients (stages 1-3) with/without diabetes receiving neoadjuvant or adjuvant cytotoxic chemotherapy. The primary study endpoint was to compare healthcare utilization between NMBC patients with and without diabetes. Secondary study endpoints included adverse events and chemotherapy treatment modifications. Additional analyses were conducted to compare these health-related outcomes by glycemic control status.

RESULTS

NMBC patients with diabetes had higher utilization of emergency department (ED) services (52% vs. 33%, p = 0.013) and a higher frequency of unplanned inpatient admissions (35% vs. 19%, p = 0.014). Additionally, NMBC patients with diabetes had a higher incidence of infection and treatment modifications. NMBC patients, regardless of diabetes diagnosis, who had poor glycemic control, specifically hyperglycemia (per random blood glucose), during the study period also had increased healthcare utilization, adverse effects, and treatment modifications. Patients with a baseline HbA1c ≥ 7 had a greater number of ED visits and a higher incidence of infection than those without diabetes.

CONCLUSION

Diabetes and glycemic control may impact the health-related outcomes of NMBC patients. Additional studies are needed to confirm these findings and determine optimal monitoring and management strategies for NMBC patients with diabetes and/or poor glycemic control during cytotoxic chemotherapy.

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.

Glycemic Control for Colorectal Cancer Survivors Compared to Those without Cancer in the Dutch Primary Care for Type 2 Diabetes: A Prospective Cohort Study

Simple Summary

A growing number of colorectal cancer survivors live with type 2 diabetes, as a result of improved cancer diagnosis and treatment. These patients might have worse glycemic control after their cancer diagnosis, which may increase the risk of cardiovascular diseases. This prospective cohort study evaluated the quality of glycemic control for colorectal cancer survivors, as compared to those without cancer in Dutch primary care for diabetes. During a 10-year follow-up for 57,330 patients, there were 705 patients diagnosed with colorectal cancer. No clinically relevant difference on the probability of reaching the target HbA1c was observed between colorectal cancer survivors and patients with no history of cancer. These results showed a robust diabetes care system, implying that the glycemic control for colorectal cancer survivors can be delegated to the primary care professionals.

Abstract

Cancer survivors with diabetes tend to have worse glycemic control after their cancer diagnosis, which may increase the risk of cardiovascular diseases. We aimed to investigate whether glycemic control differs between colorectal cancer (CRC) survivors and those without cancer, among patients with type 2 diabetes being treated in the Dutch primary care. The Zwolle Outpatient Diabetes project Integrating Available Care database was linked with the Dutch Cancer Registry (n = 71,648, 1998–2014). The cases were those with stage 0–III CRC, and the controls were those without cancer history. The primary and secondary outcomes were the probability of reaching the glycated hemoglobin (HbA1c) target and the mean of HbA1c during follow-up, respectively. Mixed linear modeling was applied, where the status of CRC was a time-varying variable. Among the 57,330 patients included, 705 developed CRC during follow-up. The mean probability of reaching the HbA1c target during follow-up was 73% versus 74% (p = 0.157) for CRC survivors versus those without cancer, respectively. The mean HbA1c was 51.1 versus 50.8 mmol/mol (p = 0.045) among CRC survivors versus those without cancer, respectively. We observed a clinically comparable glycemic control among the CRC survivors without cancer, indicating that glycemic control for CRC survivors can be delegated to primary care professionals.

Type 2 diabetes and cancer: problems and suggestions for best patient management

Diabetes and cancer are widespread worldwide and the number of subjects presenting both diseases increased over the years. The management of cancer patients having diabetes represents a challenge not only because of the complexity and heterogeneity of these pathologies but also for the lack of standardised clinical guidelines. The diagnosis of cancer is traumatizing and monopolizes the attention of both patients and caregivers. Thus, pre-existent or new-onset diabetes can be overshadowed thus increasing the risk for short- and long-term adverse events. Moreover, drugs used for each disease can interfere with the clinical course of the concomitant disease, making challenging the management of these patients. Over the years, this issue has become more relevant because of the increased patients’ life expectancy due to the improved efficacy of diabetes and cancer therapies. The purpose of this review is to highlight what is known and what should be taken into consideration to optimise the clinical management of patients with diabetes and cancer. Due to the complexity of these diseases, a multidisciplinary, shared approach, including all the protagonists involved, is necessary to improve patients’ quality of life and lifespan.

Hyperglycemia During Childhood Cancer Therapy: Incidence, Implications, and Impact on Outcomes

Hyperglycemia is a known complication of therapies used in the treatment of childhood cancer, particularly glucocorticoids and asparaginase. It has been linked to increased infection and reduced survival. With more limited data on hyperglycemia during childhood cancer treatment compared with adult cancer, impact on outcomes is less clear in this population. As additional glycemic-altering cancer agents including immune checkpoint inhibitors and targeted therapies make their way into pediatric cancer treatment, there is a more pressing need to better understand the mechanisms, risk factors, and adverse effects of hyperglycemia on the child with cancer. Thus, we utilized a systematic approach to review the current understanding of the incidence, implications, and outcomes of hyperglycemia during childhood cancer therapy.

Impact of clinical pharmacy recommendations and patient counselling program among patients with diabetes and cancer in outpatient oncology setting

INTRODUCTION

The simultaneous occurrence of diabetes and cancer may complicate the management of both conditions resulting in poor prognosis and more deterioration of patient-related outcomes.

OBJECTIVE

To assess the effective provision of clinical pharmacy services and pharmacist-led counselling program on improving patient-related outcomes among patients with diabetes and newly diagnosed with cancer during chemotherapy administration.

METHODS

A single-centre, prospective, randomised, controlled study was carried out on patients with diabetes newly diagnosed with cancer during chemotherapy administration at the outpatient oncology setting. Patients were assigned as a normal care group receiving only normal care by the oncology care providers and an intervention group receiving both normal and clinical pharmacy care through an extensive oral and written patient education, pharmacotherapy optimisation and regular recommendations for diabetic self-care activities with three-month follow-up.

RESULTS

Patients within the intervention group showed a better glycaemic control (p = .049), a significant increase in medication adherence (p = .0049), a significant increase in diabetes self-care activities, including diet (p = .037), self-monitoring of blood glucose (p = .027) and foot care (p = .0085) and reported a lower deterioration in quality of life.

CONCLUSION

Patients with diabetes and cancer receiving chemotherapy experienced improved patient-related outcomes after clinical pharmacy intervention and counselling program compared to the normal care group.

Diabetes and pancreatic neuroendocrine tumours: Which interplays, if any?

Pancreatic neuroendocrine tumours (PanNETs) represent an uncommon type of pancreatic neoplasm, whose incidence is increasing worldwide. As per exocrine pancreatic cancer, a relationship seems to exist between PanNETs and glycaemic alterations. Diabetes mellitus (DM) or impaired glucose tolerance often occurs in PanNET patients as a consequence of hormonal hypersecretion by the tumour, specifically affecting glucose metabolism, or due to tumour mass effects. On the other hand, pre-existing DM may represent a risk factor for developing PanNETs and is likely to worsen the prognosis of such patients. Moreover, the surgical and/or pharmacological treatment of the tumour itself may impair glucose tolerance, as well as antidiabetic therapies may impact tumour behaviour and patients outcome. Differently from exocrine pancreatic tumours, few data are available for PanNETs as yet on this issue. In the present review, the bidirectional association between glycaemic disorders and PanNETs has been extensively examined, since the co-existence of both diseases in the same individual represents a further challenge for the clinical management of PanNETs.

Discovering Associations of Adverse Events with Pharmacotherapy in Patients with Non-Small Cell Lung Cancer Using Modified Apriori Algorithm

AIM

To explore the associations between adverse events and pharmacotherapy in patients with non-small cell lung cancer.

METHODS

16,527 patients with non-small cell lung cancer admitted to the Cancer Hospital, Chinese Academy of Medical Sciences, between January 1, 2010, and December 31, 2016, were included in the study. Their medication and laboratory examinations data were extracted from the medical records. Common Terminology Criteria for Adverse Events Version 4.03 were utilized for adverse events reporting. A new association algorithm was developed based on Apriori algorithm and used to investigate the associations between drugs and adverse events. In addition, a statistical comparison was conducted to compare the modified Apriori algorithm with the conventional Apriori algorithm.

RESULTS

Different types and levels of adverse events were identified from the abnormal laboratory findings. The three most common adverse events were hypocalcemia, elevated creatine phosphokinase, and hypertriglyceridemia. In addition, using the modified Apriori algorithm, 380 association rules were found between adverse events and chemotherapy. Moreover, the statistical comparison of the two methods demonstrated that the modified Apriori algorithm was more advantageous in analyzing the correlation between drugs and adverse events than the conventional Apriori algorithm.

CONCLUSIONS

The modified Apriori algorithm can be used to more efficiently associate pharmacotherapy with adverse events. Based on the modified Apriori algorithm, meaningful association rules between drugs and adverse events were found, demonstrating a promising way to reveal the risk factors of adverse events during cancer treatment.

Measurement of Hyperglycemia and Impact on Health Outcomes in People With Cancer: Challenges and Opportunities

PROBLEM IDENTIFICATION

Poor health outcomes have been associated with hyperglycemia in patients with and without diabetes. However, the impact of hyperglycemia on the health-related outcomes of patients with cancer has shown conflicting results. The purpose of this review was to explore definitions and measurement issues related to the assessment of hyperglycemia and the subsequent impact on the findings of health-related outcomes in adults with cancer.
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LITERATURE SEARCH

Four electronic databases were searched.

DATA EVALUATION

A total of 30 articles were reviewed. Quantitative articles were synthesized using integrative review strategies. 
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SYNTHESIS

Three key gaps were identified in the literature.

CONCLUSIONS

This review highlights the inconsistencies in measuring or assessing hyperglycemia and the lack of standardized guidelines in treating hyperglycemia. Failure to have a standard approach to the measurement and management of hyperglycemia impedes the ability of healthcare providers to determine the significance of its impact on health outcomes. Further research is needed to establish appropriate measurement guidelines to address hyperglycemia in people with cancer.
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IMPLICATIONS FOR PRACTICE

Evidence-based measurement and treatment guidelines are needed to inform and assist healthcare providers with clinical decision making for people with cancer who experience hyperglycemia.

Hyperglycemia and Cancer: An Algorithm to Guide Oncology Nurses

BACKGROUND

A dual diagnosis of cancer and hyperglycemia has demonstrated untoward effects on patients' cancer treatment, prognosis, and survival. 
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OBJECTIVES

The purpose of this evidence-based project is to improve knowledge and awareness of the consequences of hyperglycemia in patients with cancer, increasing nurses' capability to effectively intervene. In addition, a clinical algorithm based on current evidence was developed and is presented.
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METHODS

An educational program was developed and pilot tested. The program addressed the etiology of hyperglycemia and its effects on patients with cancer. Knowledge of hyperglycemia in patients with cancer was assessed with a pre- and post-test.
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FINDINGS

All participants found the educational program effective and deemed the clinical algorithm useful. Results improved significantly after participation in the educational intervention.

Recruitment and retention of a challenging population: Lessons learned and design implications

PURPOSE

The purpose of this article is share the lessons learned from recruiting and retaining adults with type 2 diabetes and solid tumor cancer into a longitudinal study exploring the relationship among chemotherapy, glycemic control, and symptoms.

DESIGN/METHODS

Twelve-week longitudinal study, recruited thirty-four adults 21years or older with pre-existing type 2 diabetes and a solid tumor cancer, from three community based cancer centers who were eligible to receive outpatient chemotherapy.

METHODS

Fisher's Exact Test (categorical variables) and Logistic Regression (continuous variables) were used to evaluate factors associated with participant withdrawal. A dichotomous attrition variable was created to identify those who dropped out of the study before the final week and those who completed.

RESULTS

Thirteen of the 34 participants completed the study. Symptom severity, baseline HbA1c and metastases were all identified as being factors that potentially influenced attrition. Recruitment was improved once recruiters were hired at each of the cancer centers and adjustments made to the inclusion criteria.

CONCLUSIONS/IMPLICATIONS FOR RESEARCH

Several design elements need to be considered to address attrition in future including the use of recruiters, inclusion and exclusion criteria, consent timing, data collection schedules, participant characteristics, participant burden, and support person identification.

Chemotherapy and Glycemic Control in Patients with Type 2 Diabetes and Cancer: A Comparative Case Analysis

Objective:

Individuals with diabetes who develop cancer have a worse 5-year overall survival rate and are more likely to develop an infection and/or be hospitalized when compared to those without diabetes. Patients with diabetes and cancer receiving chemotherapy have an increased risk for developing glycemic issues. The relationship between chemotherapy and glycemic control is not completely understood. The aim of this study was to explore the relationship between glycemic control, symptoms, physical and mental function, development of adverse events, and chemotherapy reductions or stoppages in adults with Type 2 diabetes (T2D) and cancer.

Methods:

A prospective 12-week longitudinal cohort study recruited 24 adults with T2D, solid tumor cancer, or lymphoma receiving outpatient intravenous chemotherapy. Eighteen individuals completed baseline data and were included in the analysis. A comparative case analysis was performed to analyze the results.

Results:

Potential predictors of occurrence of an adverse event include sex (relative risk [RR] = 1.5), treatment with insulin (RR = 2.17), years with diabetes (RR = 3.85), and baseline glycated hemoglobin (HbA1c) (odds ratio [OR] = 1.67). Baseline body mass index (BMI) (OR = 1.16) and HbA1c (OR = 1.61) were potentially predictive of a chemotherapy stoppage.

Conclusions:

Level of glycemic control at the time an individual begins treatment for cancer appears to contribute to the occurrence of an adverse event, developing an infection and/or being hospitalized during treatment, and the increased risk of having a chemotherapy reduction or stoppage. Clinicians working with patients receiving chemotherapy for a solid tumor cancer who have pre-existing diabetes, need to be aware of how the patients glycemic level at the start of treatment may impact successful treatment completion.

Importance of Glycemic Control in Cancer Patients with Diabetes: Treatment through End of Life

Cancer patients with diabetes are at increased risk for developing infections, being hospitalized, and requiring chemotherapy reductions or stoppages. While it has been hypothesized that glycemic control increases the risk for these adverse events, few studies have explored this hypothesis. The purpose of this paper is to discuss the importance of glycemic control in patients with diabetes and cancer during treatment through end of life. Glycemic control was found to play a role; the overall level of health-related quality of life experienced by patients with cancer and diabetes, level of symptom severity experienced and can impact the overall survival of the individual. Evidence-based policies and practice guidelines also need to be developed to help clinicians manage these patients during all phases of care. Using diabetes educators and advance practice, nurses to provide management and care coordination services need to be considered. Survivorship care plans should address both cancer and diabetes management. Finally, glycemic control should continue through end of life, with the main goal of avoiding hypoglycemic events.

Drug-Induced Hyperglycaemia and Diabetes

Drug-induced hyperglycaemia and diabetes is a global issue. It may be a serious problem, as it increases the risk of microvascular and macrovascular complications, infections, metabolic coma and even death. Drugs may induce hyperglycaemia through a variety of mechanisms, including alterations in insulin secretion and sensitivity, direct cytotoxic effects on pancreatic cells and increases in glucose production. Antihypertensive drugs are not equally implicated in increasing serum glucose levels. Glycaemic adverse events occur more frequently with thiazide diuretics and with certain beta-blocking agents than with calcium-channel blockers and inhibitors of the renin-angiotensin system. Lipid-modifying agents may also induce hyperglycaemia, and the diabetogenic effect seems to differ between the different types and daily doses of statins. Nicotinic acid may also alter glycaemic control. Among the anti-infectives, severe life-threatening events have been reported with fluoroquinolones, especially when high doses are used. Protease inhibitors and, to a lesser extent, nucleoside reverse transcriptase inhibitors have been reported to induce alterations in glucose metabolism. Pentamidine-induced hyperglycaemia seems to be related to direct dysfunction in pancreatic cells. Phenytoin and valproic acid may also induce hyperglycaemia. The mechanisms of second-generation antipsychotic-associated hyperglycaemia, diabetes mellitus and ketoacidosis are complex and are mainly due to insulin resistance. Antidepressant agents with high daily doses seem to be more frequently associated with an increased risk of diabetes. Ketoacidosis may occur in patients receiving beta-adrenergic stimulants, and theophylline may also induce hyperglycaemia. Steroid diabetes is more frequently associated with high doses of glucocorticoids. Some chemotherapeutic agents carry a higher risk of hyperglycaemia, and calcineurin inhibitor-induced hyperglycaemia is mainly due to a decrease in insulin secretion. Hyperglycaemia has been associated with oral contraceptives containing high doses of oestrogen. Growth hormone therapy and somatostatin analogues may also induce hyperglycaemia. Clinicians should be aware of medications that may alter glycaemia. Efforts should be made to identify and closely monitor patients receiving drugs that are known to induce hyperglycaemia.

Diabetology and oncology meet in a network model: union is strength

Diabetes and cancer are increasingly common conditions, and the management of cancer patients with diabetes is often challenging. Diabetes in cancer patients poses several complex clinical issues, including which treatment is suitable to control hyperglycemia, how to better counteract glucocorticoid-induced hyperglycemia, and how to manage nutritional problems of cachectic patients and glucose variability linked to artificial nutrition. A key aspect to consider is the patients' position on the trajectory of the oncologic disease, both to establish which level of glycemic control should be pursued and to decide the most suitable antidiabetic treatment to recommend. Endocrinologists are rarely involved in the management of patients with advanced cancer. Furthermore, lack of guidelines results in a "trial-and-error" approach, often with suboptimal disease management. Lastly, cancer survivors represent a frequently underestimated category of patients at higher cardiometabolic risk. A practical solution for these challenges lies in the implementation of care networks based on a close partnership and ongoing communication between oncologists, endocrinologists, and nutritionists, placing the patient at the center of the care process. At the same time, universities and scientific societies should play a key role in promoting research into areas of intersection of oncology and endocrinology, in raising awareness of common possibilities of primary and secondary prevention of metabolic and oncologic diseases, as well as specific challenges of managing diabetes and cancer, and proper training of health workers, while also supporting the shared implementation of effective management strategies.

Examining patterns of multivariate, longitudinal symptom experiences among older adults with type 2 diabetes and cancer via cluster analysis

PURPOSE

Diabetes and cancer are chronic conditions that produce symptoms, some unique to each condition and others common to both. Previous studies have reported on subgroups of patients who experience distinct combinations of symptoms in cross-sectional samples and the univariate longitudinal trajectories of individual symptoms. The literature currently lacks examples of research that take a multivariate longitudinal perspective to understanding patients' symptom experiences. The purpose of this study was to identify subgroups of patients who share distinct multivariate longitudinal profiles with respect to how symptom severity changes over time for a set of five symptoms (pain, fatigue, change in appetite, nausea, and numbness and tingling).

METHODS

This exploratory study included 43 participants with pre-existing diabetes from eight community-based cancer centers who were receiving chemotherapy for a solid tumor. Using baseline and 8-week data, a model-based cluster analysis with Bayesian regularization was used to identify subgroups.

RESULTS

Two groups were identified. Group 1 experienced mild symptoms that changed very little at 8 weeks; group 2 experienced mild to moderate symptom severity, with small increases in fatigue, nausea, and numbness and tingling. Effect size confidence intervals suggest that level of depression, length of time with diabetes, and severity of diabetes at baseline may differ between groups.

CONCLUSIONS

More research in this area is needed to further test this model, address limitations associated with analyzing a small sample, and explore factors that may be associated with changes in the overall symptom experience for patients with diabetes and cancer.