Treatment-Related Complications of Systemic Therapy and Radiotherapy

Gut Microbiota-Derived l-Histidine/Imidazole Propionate Axis Fights against the Radiation-Induced Cardiopulmonary Injury

Radiation-induced cardiopulmonary injuries are the most common and intractable side effects that are entwined with radiotherapy for thorax cancers. However, the therapeutic options for such complications have yielded disappointing results in clinical applications. Here, we reported that gut microbiota-derived l-Histidine and its secondary metabolite imidazole propionate (ImP) fought against radiation-induced cardiopulmonary injury in an entiric flora-dependent manner in mouse models. Local chest irradiation decreased the level of l-Histidine in fecal pellets, which was increased following fecal microbiota transplantation. l-Histidine replenishment via an oral route retarded the pathological process of lung and heart tissues and improved lung respiratory and heart systolic function following radiation exposure. l-Histidine preserved the gut bacterial taxonomic proportions shifted by total chest irradiation but failed to perform radioprotection in gut microbiota-deleted mice. ImP, the downstream metabolite of l-Histidine, accumulated in peripheral blood and lung tissues following l-Histidine replenishment and protected against radiation-induced lung and heart toxicity. Orally gavaged ImP could not enter into the circulatory system in mice through an antibiotic cocktail treatment. Importantly, ImP inhibited pyroptosis to nudge lung cell proliferation after radiation challenge. Together, our findings pave a novel method of protection against cardiopulmonary complications intertwined with radiotherapy in pre-clinical settings and underpin the idea that gut microbiota-produced l-Histidine and ImP are promising radioprotective agents.

Caloric restriction alleviates radiation injuries in a sex-dependent fashion

Safe and effective regimens are still needed given the risk of radiation toxicity from iatrogenic irradiation. The gut microbiota plays an important role in radiation damage. Diet has emerged as a key determinant of the intestinal microbiome signature and function. In this report, we investigated whether a 30% caloric restriction (CR) diet may ameliorate radiation enteritis and hematopoietic toxicity. Experimental mice were either fed ad libitum (AL) or subjected to CR preconditioning for 10 days and then exposed to total body irradiation (TBI) or total abdominal irradiation (TAI). Gross examinations showed that short-term CR pretreatment restored hematogenic organs and improved the intestinal architecture in both male and female mice. Intriguingly, CR preconditioning mitigated radiation-induced systemic and enteric inflammation in female mice, while gut barrier function improved in irradiated males. 16S rRNA high-throughput sequencing showed that the frequency of pro-inflammatory microbes, including Helicobacter and Desulfovibrionaceae, was reduced in female mice after 10 days of CR preconditioning, while an enrichment of short-chain fatty acid (SCFA)-producing bacteria, such as Faecalibaculum, Clostridiales, and Lactobacillus, was observed in males. Using fecal microbiota transplantation (FMT) or antibiotic administration to alter the gut microbiota counteracted the short-term CR-elicited radiation tolerance of both male and female mice, further indicating that the radioprotection of a 30% CR diet depends on altering the gut microbiota. Together, our findings provide new insights into CR in clinical applications and indicate that a short-term CR diet prior to radiation modulates sex-specific gut microbiota configurations, protecting male and female mice against the side effects caused by radiation challenge.

Augmented intelligence to predict 30-day mortality in patients with cancer

Aim: An augmented intelligence tool to predict short-term mortality risk among patients with cancer could help identify those in need of actionable interventions or palliative care services. Patients & methods: An algorithm to predict 30-day mortality risk was developed using socioeconomic and clinical data from patients in a large community hematology/oncology practice. Patients were scored weekly; algorithm performance was assessed using dates of death in patients' electronic health records. Results: For patients scored as highest risk for 30-day mortality, the event rate was 4.9% (vs 0.7% in patients scored as low risk; a 7.4-times greater risk). Conclusion: The development and validation of a decision tool to accurately identify patients with cancer who are at risk for short-term mortality is feasible.

A cross-sectional study of chemotherapy-related AKI

PURPOSE

This study aims to detail the characteristics of chemotherapy-related acute kidney injury (CR-AKI) and investigate its effect on patient outcomes.

METHODS

This is a multicenter cross-sectional study of cancer patients with CR-AKI screened from hospital-acquired adult AKI patients based on a nationwide AKI survey in China.

RESULTS

Of the 3468 patients with hospital-acquired AKI, 258 cases of CR-AKI were identified. Of the patients, 20.1% (52/258) were ≥ 70 years old. Among the 258 CR-AKI cases, 61 (23.6%) reached AKI stage 3, and 75 (29.1%) reached AKI stage 2. The remaining 122 (47.3%) remained at AKI stage 1. A total of 413 chemotherapeutic agents were related to AKI, of which platinum compounds (24.5%, 101/413) were the most common. In-hospital mortality was 14.7% (38/258), and the rate of AKI non-recovery was 48.3% (100/207). AKI stage 3 (OR 2.930, 95% CI 1.156-7.427) and age ≥ 70 years (OR 3.138, 95% CI 1.309-7.519) were independent risk factors for in-hospital death. Compared to stage 2 or 3 AKI cases, a higher proportion of patients with stage 1 AKI did not recover their renal function (57.1% vs. 41.4% vs. 36.4%, P = 0.032). More AKI episodes were not recognized in patients with stage 1 AKI compared with the other two groups (82.8% vs. 60.0% vs. 36.1%, P < 0.001).

CONCLUSIONS

CR-AKI accounted for a noteworthy proportion of hospital-acquired AKI, and severe CR-AKI increased in-hospital mortality. Mild CR-AKI was more likely to be overlooked, and sustained kidney injury was common in this situation. Recognizing CR-AKI at an early stage and personalizing treatment should be emphasized in those undergoing chemotherapy.

Hospitalization rates for complications due to systemic therapy in the United States

The aim of this study was to estimate the trends and burdens associated with systemic therapy-related hospitalizations, using nationally representative data. National Inpatient Sample data from 2005 to 2016 was used to identify systemic therapy-related complications using ICD-9 and ICD-10 external causes-of-injury codes. The primary outcome was hospitalization rates, while secondary outcomes were cost and in-hospital mortality. Overall, there were 443,222,223 hospitalizations during the study period, of which 2,419,722 were due to complications of systemic therapy. The average annual percentage change of these hospitalizations was 8.1%, compared to - 0.5% for general hospitalizations. The three most common causes for hospitalization were anemia (12.8%), neutropenia (10.8%), and sepsis (7.8%). Hospitalization rates had the highest relative increases for sepsis (1.9-fold) and acute kidney injury (1.6-fold), and the highest relative decrease for dehydration (0.21-fold) and fever of unknown origin (0.35-fold). Complications with the highest total charges were anemia ($4.6 billion), neutropenia ($3.0 billion), and sepsis ($2.5 billion). The leading causes of in-hospital mortality associated with systemic therapy were sepsis (15.8%), pneumonia (7.6%), and acute kidney injury (7.0%). Promoting initiatives such as rule OP-35, improving access to and providing coordinated care, developing systems leading to early identification and management of symptoms, and expanding urgent care access, can decrease these hospitalizations and the burden they carry on the healthcare system.

Causes of Death After Colorectal Cancer Diagnosis: A Population-Based Study

Background: Non-cancer causes of death in patients with colorectal cancer (CRC) have not received much attention until now. The purpose of the current study is to investigate the non-cancer causes of death in patients with CRC at different periods of latency.

Methods: Eligible patients with CRC were included from the Surveillance, Epidemiology, and End Results (SEER) database, and standardized mortality ratios (SMRs) were calculated using the SEER*Stat software 8.3.8.

Results: A total of 475,771 patients with CRC were included, of whom 230,841 patients died during the follow-up period. Within 5 years, CRC was the leading cause of death. Over time, non-cancer causes of death account for an increasing proportion. When followed up for more than 10 years, non-cancer deaths accounted for 71.9% of all deaths worldwide. Cardiovascular diseases were the most common causes of non-cancer deaths, accounting for 15.4% of the total mortality. Patients had a significantly higher risk of death from septicemia within the first year after diagnosis compared with the general population (SMR, 3.39; 95% CI, 3.11–3.69). Within 5–10 years after CRC diagnosis, patients had a significantly higher risk of death from diabetes mellitus (SMR, 1.27; 95% CI, 1.19–1.36). During the course of more than 10 years, patients with CRC had a significantly higher risk of death from atherosclerosis (SMR 1.47; 95% CI, 1.11–1.9).

Conclusions: Although CRC has always been the leading cause of death in patients with CRC, non-cancer causes of death should not be ignored. For patients with cancer, we should not only focus on anti-tumor therapies but also pay attention to the occurrence of other risks to prevent and manage them in advance.

The efficacy of bone marrow-derived mesenchymal stem cells and/or erythropoietin in ameliorating kidney damage in gamma irradiated rats: Role of non-hematopoietic erythropoietin anti-apoptotic signaling

Radiation-induced multiple organ injury, including γ-radiation nephropathy, is the most common. Even with dose fractionation strategy, residual late side effects are inevitable. Bone marrow-derived mesenchymal stem cells (BM-MSCs) transplantation and erythropoietin (EPO) have shown to be effective in treating chronic kidney disease and associated anemia. This study aimed to evaluate the effect of BM-MSCs and/or EPO in fractionated γ-irradiation induced kidney damage in rats. Adult male Wistar rats were randomized into 2 groups; normal and 8 Gy (fractionated dose of 2 Gy for 4 days) γ-irradiated rats. Animal from both groups were subdivided to receive the following treatments: BM-MSCs (1 × 10⁶ cells/rat, i.v - once), EPO (100 IU/kg, i.p - every other day for 30 days) or their combined treatment (BM-MSCs and EPO). γ-Irradiated rats showed a noticeable elevation in serum urea and creatinine, kidney malondialdehyde (MDA) and caspase 3 activity. They also revealed significant drop in kidney glutathione (GSH) and Bcl2 protein contents. Conspicuously, they revealed down-regulation of renal EPO signaling (EPO, EPOR, pJAK2, pPI3K and pAkt). Conversely, groups treated with BM-MSCs and/or EPO revealed significant modulation in most tested parameters and appeared to be effective in minimizing the hazard effects of radiation. In conclusion, BM-MSCs and/or EPO exhibited therapeutic potentials against nephrotoxicity induced by fractionated dose of γ-irradiation. An effect mediated by antioxidant and non-hematopoietic EPO downstream anti-apoptotic signaling (PI3K/Akt) pathway. EPO potentiate the repair capabilities of BM-MSCs making this combined treatment a promising therapeutic strategy to overcome radiotherapy-induced kidney damage.

cGAS promotes sepsis in radiotherapy of cancer by up-regulating caspase-11 signaling

Radiotherapy is the most common strategy in the treatment of cancer. However, radiation-induced acute complications, in particular sepsis, render patients in a life-threatening status or lead to delay of therapy that largely influences patients' overall responses. The understanding of sepsis in radiotherapy is currently scant and effective medicine is not available by far. Here, with WT mice as control, we challenged mice deficient to cGas, Caspase-11, Gsdmd or Asc with cecal ligation and puncture (CLP, a sepsis model) after a treatment of thorax irradiation. We found that radiation robustly upgraded caspase-11 pathway in irradiated region and consequently deteriorated lung injury and mortality in the sepsis model. cGas knockout markedly attenuated radiation-upgraded caspase-11 and restored sepsis. Deficiency of non-canonical inflammasome, caspase-11 and the downstream GSDMD, rather than an AIM2 inflammasome component, ASC, dramatically protected against radiation-promoted injury and mortality in septic mice. The protection may attribute to the inhibition of caspase-11-mediated pyroptosis in endothelial cells of the lung. Thus, blocking cGAS/caspase-11 signaling would be an adjuvant treatment strategy for preventing sepsis in radiotherapy of cancer.

Role of Glutamine in the Management of Oral Mucositis in Patients with Cancer: A Meta-Analysis of Randomized Controlled Trials

As the effectiveness of glutamine supplementation for oral mucositis (OM) in patients with cancer remains controversial, a comprehensive summary and analysis of available evidence is necessary. The aim of the present meta-analysis was to evaluate the benefits of glutamine supplementation on OM and OM-related adverse reactions in patients with cancer receiving chemotherapy (CT) and/or radiotherapy (RT), using data from randomized controlled trials (RCTs). The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for RCTs on the use of glutamine for treating OM, published until September 11, 2020. Risk ratios (RRs) or standardized mean differences (SMDs) and 95% confidence intervals (CI) were calculated using RevMan 5.3. Fifteen studies with 988 participants were included. Glutamine did not reduce the incidence of OM (RR 0.94), but it reduced the severity of OM (SMD -0.73) and incidence of severe OM (RR 0.41). Additionally, glutamine reduced the incidence of opioid analgesic use (RR 0.84), feeding tube use (RR 0.46), hospitalization (RR 0.39), and treatment interruption (RR 0.49) caused by OM. Glutamine effectively improved OM and reduced OM-related adverse reactions in patients with cancer receiving CT and/or RT.

Diagnostic Uncertainty in Dyspneic Patients with Cancer in the Emergency Department

OBJECTIVE

Dyspnea is the second most common symptom experienced by the approximately 4.5 million patients with cancer presenting to emergency departments (ED) each year. Distinguishing pneumonia, the most common reason for presentation, from other causes of dyspnea is challenging. This report characterizes the diagnostic uncertainty in patients with dyspnea and pneumonia presenting to an ED by establishing the rates of co-diagnosis, co-treatment, and misdiagnosis.

METHODS

Visits by individuals ≥18 years old with cancer who presented with a complaint of dyspnea were identified using the National Hospital Ambulatory Medical Care Survey between 2012-2014 and analyzed for rates of co-diagnosis, co-treatment (treatment or diagnosis for >1 of pneumonia, chronic obstructive pulmonary disease [COPD], and heart failure), and misdiagnosis of pneumonia. Additionally, we assessed rates of diagnostic uncertainty (co-diagnosis, co-treatment, or a lone diagnosis of dyspnea not otherwise specified [NOS]).

RESULTS

Among dyspneic cancer visits (1,593,930), 15.2% (95% confidence interval [CI], 11.1-20.5%) were diagnosed with pneumonia, 22.5% (95% CI, 16.7-29.7%) with COPD, and 7.4% (95% CI 4.7-11.4%) with heart failure. Dyspnea NOS was diagnosed in 32.3% (95% CI, 25.7-39.7%) of visits and as the only diagnosis in 23.1% (95% CI, 16.3-31.6%) of all visits. Co-diagnosis occurred in 4.0% (95% CI, 2.0-7.6%) of dyspneic adults with cancer and co-treatment in 12.1% (95% CI, 7.5-18.9%). Agreement between emergency physician and inpatient documentation for presence of pneumonia was 57.7% (95% CI, 37.0-76.1%).

CONCLUSION

Diagnostic uncertainty remains a significant concern in patients with cancer presenting to the ED with dyspnea. Clinical uncertainty among dyspneic patients results in both misdiagnosis and under-treatment of patients with pneumonia and cancer.

Comparative Effectiveness of Proton vs Photon Therapy as Part of Concurrent Chemoradiotherapy for Locally Advanced Cancer

Importance

Concurrent chemoradiotherapy is the standard-of-care curative treatment for many cancers but is associated with substantial morbidity. Concurrent chemoradiotherapy administered with proton therapy might reduce toxicity and achieve comparable cancer control outcomes compared with conventional photon radiotherapy by reducing the radiation dose to normal tissues.

Objective

To assess whether proton therapy in the setting of concurrent chemoradiotherapy is associated with fewer 90-day unplanned hospitalizations (Common Terminology Criteria for Adverse Events, version 4 [CTCAEv4], grade ≥3) or other adverse events and similar disease-free and overall survival compared with concurrent photon therapy and chemoradiotherapy.

Design, Setting, and Participants

This retrospective, nonrandomized comparative effectiveness study included 1483 adult patients with nonmetastatic, locally advanced cancer treated with concurrent chemoradiotherapy with curative intent from January 1, 2011, through December 31, 2016, at a large academic health system. Three hundred ninety-one patients received proton therapy and 1092, photon therapy. Data were analyzed from October 15, 2018, through February 1, 2019.

Interventions

Proton vs photon chemoradiotherapy.

Main Outcomes and Measures

The primary end point was 90-day adverse events associated with unplanned hospitalizations (CTCAEv4 grade ≥3). Secondary end points included Eastern Cooperative Oncology Group (ECOG) performance status decline during treatment, 90-day adverse events of at least CTCAEv4 grade 2 that limit instrumental activities of daily living, and disease-free and overall survival. Data on adverse events and survival were gathered prospectively. Modified Poisson regression models with inverse propensity score weighting were used to model adverse event outcomes, and Cox proportional hazards regression models with weighting were used for survival outcomes. Propensity scores were estimated using an ensemble machine-learning approach.

Results

Among the 1483 patients included in the analysis (935 men [63.0%]; median age, 62 [range, 18-93] years), those receiving proton therapy were significantly older (median age, 66 [range, 18-93] vs 61 [range, 19-91] years; P < .01), had less favorable Charlson-Deyo comorbidity scores (median, 3.0 vs 2.0; P < .01), and had lower integral radiation dose to tissues outside the target (mean [SD] volume, 14.1 [6.4] vs 19.1 [10.6] cGy/cc × 107; P < .01). Baseline grade ≥2 toxicity (22% vs 24%; P = .37) and ECOG performance status (mean [SD], 0.62 [0.74] vs 0.68 [0.80]; P = .16) were similar between the 2 cohorts. In propensity score weighted-analyses, proton chemoradiotherapy was associated with a significantly lower relative risk of 90-day adverse events of at least grade 3 (0.31; 95% CI, 0.15-0.66; P = .002), 90-day adverse events of at least grade 2 (0.78; 95% CI, 0.65-0.93; P = .006), and decline in performance status during treatment (0.51; 95% CI, 0.37-0.71; P < .001). There was no difference in disease-free or overall survival.

Conclusions and Relevance

In this analysis, proton chemoradiotherapy was associated with significantly reduced acute adverse events that caused unplanned hospitalizations, with similar disease-free and overall survival. Prospective trials are warranted to validate these results.

System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning–Directed Clinical Evaluations During Radiation and Chemoradiation

PURPOSE

Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited prospective studies investigating the clinical impact of ML in health care. The objective of this study was to determine whether ML can identify high-risk patients and direct mandatory twice-weekly clinical evaluation to reduce acute care visits during treatment.

PATIENTS AND METHODS

During this single-institution randomized quality improvement study (ClinicalTrials.gov identifier: NCT04277650 ), 963 outpatient adult courses of RT and CRT started from January 7 to June 30, 2019, were evaluated by an ML algorithm. Among these, 311 courses identified by ML as high risk (> 10% risk of acute care during treatment) were randomized to standard once-weekly clinical evaluation (n = 157) or mandatory twice-weekly evaluation (n = 154). Both arms allowed additional evaluations on the basis of clinician discretion. The primary end point was the rate of acute care visits during RT. Model performance was evaluated using receiver operating characteristic area under the curve (AUC) and decile calibration plots.

RESULTS

Twice-weekly evaluation reduced rates of acute care during treatment from 22.3% to 12.3% (difference, −10.0%; 95% CI, −18.3 to −1.6; relative risk, 0.556; 95% CI, 0.332 to 0.924; P = .02). Low-risk patients had a 2.7% acute care rate. Model discrimination was good in high- and low-risk patients undergoing standard once-weekly evaluation (AUC, 0.851).

CONCLUSION

In this prospective randomized study, ML accurately triaged patients undergoing RT and CRT, directing clinical management with reduced acute care rates versus standard of care. This prospective study demonstrates the potential benefit of ML in health care and offers opportunities to enhance care quality and reduce health care costs.

Building a Clinically Relevant Risk Model: Predicting Risk of a Potentially Preventable Acute Care Visit for Patients Starting Antineoplastic Treatment

PURPOSE

To create a risk prediction model that identifies patients at high risk for a potentially preventable acute care visit (PPACV).

PATIENTS AND METHODS

We developed a risk model that used electronic medical record data from initial visit to first antineoplastic administration for new patients at Memorial Sloan Kettering Cancer Center from January 2014 to September 2018. The final time-weighted least absolute shrinkage and selection operator model was chosen on the basis of clinical and statistical significance. The model was refined to predict risk on the basis of 270 clinically relevant data features spanning sociodemographics, malignancy and treatment characteristics, laboratory results, medical and social history, medications, and prior acute care encounters. The binary dependent variable was occurrence of a PPACV within the first 6 months of treatment. There were 8,067 observations for new-start antineoplastic therapy in our training set, 1,211 in the validation set, and 1,294 in the testing set.

RESULTS

A total of 3,727 patients experienced a PPACV within 6 months of treatment start. Specific features that determined risk were surfaced in a web application, riskExplorer, to enable clinician review of patient-specific risk. The positive predictive value of a PPACV among patients in the top quartile of model risk was 42%. This quartile accounted for 35% of patients with PPACVs and 51% of potentially preventable inpatient bed days. The model C-statistic was 0.65.

CONCLUSION

Our clinically relevant model identified the patients responsible for 35% of PPACVs and more than half of the inpatient beds used by the cohort. Additional research is needed to determine whether targeting these high-risk patients with symptom management interventions could improve care delivery by reducing PPACVs.

Concurrent chemo-radiotherapy with proton therapy: reduced toxicity with comparable oncological outcomes vs photon chemo-radiotherapy

Concurrent chemo-radiotherapy is a commonly employed curative treatment approach for locally advanced cancers but is associated with considerable morbidity. Chemo-radiotherapy using proton therapy may be able to reduce side effects of treatment and improve efficacy, but this remains an area of controversy and data are relatively limited. We comment on recently published studies and discuss future directions for proton therapy.

Remote Oncology Care: Review of Current Technology and Future Directions

Cancer patients frequently develop tumor and treatment-related complications, leading to diminished quality of life, shortened survival, and overutilization of emergency department and hospital services. Outpatient oncology treatment has potential to leave cancer patients unmonitored for long periods while at risk of clinical deterioration which has been exaggerated during the COVID19 pandemic. Visits to cancer clinics and hospitals risk exposing immunocompromised patients to infectious complications. Remote patient reported outcomes monitoring systems have been developed for use in cancer treatment, showing benefits in economic and survival outcomes. While advanced devices such as pulmonary artery pressure monitors and implantable loop recorders have proven benefits in cardiovascular care, similar options do not exist for oncology. Here we review the current literature around remote patient monitoring in cancer care and propose the use of reliable devices for capturing and reporting patient symptoms and physiology.

Outcomes after emergency department use in patients with cancer receiving chemotherapy in Ontario, Canada: a population-based cohort study

BACKGROUND

Patients with cancer frequently require emergency medical care during treatment. The objective of this study was to characterize emergency department visits made by patients with cancer receiving chemotherapy and to describe associated outcomes.

METHODS

This retrospective cohort study used population-based administrative data from Ontario, Canada. Patients aged 18 years and older, with a cancer diagnosis, and who received chemotherapy in the 30 days before being seen in an emergency department between 2013 and 2017 were included. Emergency department discharge diagnosis codes were categorized to identify the most frequent emergency department diagnoses. We examined the proportion of patients admitted to hospital and 30-day mortality. We used logistic regression to identify predictors of hospital admission.

RESULTS

We identified 218 459 emergency department visits made by 87 555 patients. The median number of emergency department visits per patient was 2 (interquartile range 1-3). Hematological, gastrointestinal, breast and lung cancer were the most common malignancies represented. The most common emergency department diagnoses were infection or fever (57 036 [26.1%]) and gastrointestinal diagnoses (26 456 [12.2%]). Of all visits, 77 978 (35.7%) resulted in admission to hospital. Thirty-day mortality after an emergency department visit was 9.8%. There was an increased odds of admission among patients who previously received palliative consultation, patients with bone or soft tissue or hematological malignancies, and patients with infection, gastrointestinal, pulmonary, cardiac, weakness or genitourinary and nephrology diagnoses.

INTERPRETATION

Patients with cancer frequently used the emergency department during chemotherapy, and 1 in 4 emergency department visits were for infection or fever. These results highlight opportunities to optimize care for certain patients being actively treated for cancer, particularly around infectious complaints.

What the HEC? Clinician Adherence to Evidence-Based Antiemetic Prophylaxis for Highly Emetogenic Chemotherapy

Background: Clinician adherence to antiemetic guidelines for preventing chemotherapy-induced nausea and vomiting (CINV) caused by highly emetogenic chemotherapy (HEC) remains poorly characterized. The primary aim of this study was to evaluate individual clinician adherence to HEC antiemetic guidelines. Patients and Methods: A retrospective analysis of patients receiving HEC was conducted using the IBM Watson Explorys Electronic Health Record Database (2012–2018). HEC antiemetic guideline adherence was defined as prescription of triple prophylaxis (neurokinin-1 receptor antagonist [NK1 RA], serotonin type-3 receptor antagonist, dexamethasone) at initiation of cisplatin or anthracycline + cyclophosphamide (AC). Clinicians who prescribed ≥5 HEC courses were included and individual guideline adherence was assessed, noting the number of prescribing clinicians with >90% adherence. Results: A total of 217 clinicians were identified who prescribed 2,543 cisplatin and 1,490 AC courses. Patients (N=4,033) were primarily women (63.3%) and chemotherapy-naïve (92%) with a mean age of 58.6 years. Breast (36%) and thoracic (19%) cancers were the most common tumor types. Guideline adherence rates of >90% were achieved by 35% and 58% of clinicians using cisplatin or AC, respectively. Omission of an NK1 RA was the most common practice of nonadherence. Variation in prophylaxis guideline adherence was considerable for cisplatin (mean, 71%; SD, 29%; coefficient of variation [CV], 0.40) and AC (mean, 84%; SD, 26%; CV, 0.31). Conclusions: Findings showed substantial gaps in clinician adherence to HEC CINV guidelines, including a high variability across clinicians. Clinicians should review their individual clinical practices and ensure adherence to evidence-based CINV guidelines to optimize patient care.

InSight Care Pilot Program: Redefining Seeing a Patient

PURPOSE

Early detection and management of symptoms in patients with cancer improves outcomes. However, the optimal approach to symptom monitoring and management is unknown. InSight Care is a mobile health intervention that captures symptom data and facilitates patient-provider communication to mitigate symptom escalation.

PATIENTS AND METHODS

Patients initiating antineoplastic treatment at a Memorial Sloan Kettering regional location were eligible. Technology supporting the program included the following: a predictive model that identified patient risk for a potentially preventable acute care visit; a secure patient portal enabling communication, televisits, and daily delivery of patient symptom assessments; alerts for concerning symptoms; and a symptom-trending application. The main outcomes of the pilot were feasibility and acceptability evaluated through enrollment and response rates and symptom alerts, and perceived value evaluated on the basis of qualitative patient and provider interviews.

RESULTS

The pilot program enrolled 100 high-risk patients with solid tumors and lymphoma (29% of new treatment starts v goal of 25%). Over 6 months of follow-up, the daily symptom assessment response rate was 56% (the goal was 50%), and 93% of patients generated a severe symptom alert. Patients and providers perceived value in the program, and archetypes were developed for program improvement. Enrolled patients were less likely to use acute care than were other high-risk patients.

CONCLUSION

InSight Care was feasible and holds the potential to improve patient care and decrease facility-based care. Future work should focus on optimizing the cadence of patient assessments, the workforce supporting remote symptom management, and the return of symptom data to patients and clinical teams.

EPICANCER-Cancer Patients Presenting to the Emergency Departments in France: A Prospective Nationwide Study

Background: We aimed to estimate the prevalence of cancer patients who presented to Emergency Departments (EDs), report their chief complaint and identify the predictors of 30-day all-cause mortality. Patients and methods: we undertook a prospective, cross-sectional study during three consecutive days in 138 EDs and performed a logistic regression to identify the predictors of 30-day mortality in hospitalized patients. Results: A total of 1380 cancer patients were included. The prevalence of cancer patients among ED patients was 2.8%. The most frequent reasons patients sought ED care were fatigue (16.6%), dyspnea (16.3%), gastro-intestinal disorders (15.1%), trauma (13.0%), fever (12.5%) and neurological disorders (12.5%). Patients were admitted to the hospital in 64.9% of cases, of which 13.4% died at day 30. Variables independently associated with a higher mortality at day 30 were male gender (Odds Ratio (OR), 1.63; 95% CI, 1.04–2.56), fatigue (OR, 1.65; 95% CI, 1.01–2.67), poor performance status (OR, 3.00; 95% CI, 1.87–4.80), solid malignancy (OR, 3.05; 95% CI, 1.26–7.40), uncontrolled malignancy (OR, 2.27; 95% CI, 1.36–3.80), ED attendance for a neurological disorder (OR, 2.38; 95% CI, 1.36–4.19), high shock-index (OR, 1.80; 95% CI, 1.03–3.13) and oxygen therapy (OR, 2.68; 95% CI, 1.68–4.29). Conclusion: Cancer patients showed heterogeneity among their reasons for ED attendance and a high need for hospitalization and case fatality. Malignancy and general health status played a major role in the patient outcomes. This study suggests that the emergency care of cancer patients may be complex. Thus, studies to assess the impact of a dedicated oncology curriculum for ED physicians are warranted.

From Theory to Practice: Implementation of Strategies to Reduce Acute Care Visits in Patients With Cancer

Patients with cancer frequently seek acute care as a result of complications of their disease and adverse effects of treatment. This acute care comes at high cost to the health care system and often results in suboptimal outcomes for patients and their caregivers. The Department of Health and Human Services has identified this as a gap in our care of patients with cancer and has called for quality-improvement efforts to reduce this acute care. We highlight the efforts of three centers-a community practice, an academic practice, and a cancer center-to reduce acute care for their patients. We describe the foundational principles, the practice innovation and implementation strategy, the initial results, and the lessons learned from these interventions. Each of the described interventions sought to integrate evidence-based best practices for reducing unplanned acute care. The first, a telephone triage system, led to 82% of calls being managed at home and only 2% being directed to an emergency department (ED) or hospital. The second, a 24-hour continuity clinic, led to a 26% reduction in ED utilization for patients with cancer. The third, a digital symptom monitoring and management program for high-risk patients on active treatment, led to a 17% reduction in ED presentations. There is a need for innovative care delivery models to improve the management of symptoms for patients with cancer. Future research is needed to determine the elements of these models with the greatest impact and how successful models can be scaled to other institutions.

Evaluating Patients' Perception of the Risk of Acute Care Visits During Systemic Therapy for Cancer

PURPOSE

Unplanned emergency department (ED) visits and hospitalizations are common during systemic cancer therapy. To determine how patients with cancer trade off treatment benefit with risk of experiencing an ED visit or hospitalization when deciding about systemic therapy, we undertook a discrete choice experiment.

MATERIALS AND METHODS

Patients with breast, colorectal, or head and neck cancer contemplating, receiving, or having previously received systemic therapy were presented with 10 choice tasks (5 in the curative and 5 in the palliative setting) that varied on 3 attributes: benefit, risk of ED visit, and risk of hospitalization. Preferences for attributes and levels were measured using part-worth utilities, estimated using hierarchical Bayes analysis. Segmentation analysis was conducted to identify subgroups with different preferences.

RESULTS

A total of 293 patients completed the survey; most were female (76%), had breast cancer (63%), and were currently receiving systemic therapy (72%) with curative intent (59%). Benefit was the most important decision attribute regardless of treatment intent, followed by risk of hospitalization, then risk of ED visit. Two segments were observed: one large cluster exhibiting logical and consistent choices, and a smaller segment exhibiting illogical and inconsistent choices. Patients in the latter segment were more likely to have metastatic head and neck cancer, be male, were older, and reported fewer prior ED visits.

CONCLUSION

Although the risk of ED visit or hospitalization contributes to patient treatment preferences, benefit was the most important attribute. Segmentation suggests that a subset of patients may lack cognitive abilities, engagement, or literacy to consistently evaluate treatment choices. Understanding this subset may provide insight into patients' decision making and understanding of treatment options.

Costs and Outcomes of Patients Admitted to the Intensive Care Unit With Cancer

INTRODUCTION

Cancer is associated with significant health-care expenditure, but few studies have examined the cost of patients with cancer in the intensive care unit (ICU). We aimed to describe the costs and outcomes of patients admitted to the ICU with cancer.

METHODS

We conducted a retrospective cohort study of patients admitted between 2011 and 2016 to 2 tertiary-care ICUs. We included patients with a cancer-related most responsible diagnosis using International Classification of Disease, 10th Revision, Canada codes. We compared costs and outcomes of patients having cancer with noncancer controls matched for age, sex, and Elixhauser comorbidity score. We used logistic regression to determine predictors of mortality among patients with cancer.

RESULTS

There were 1022 patients with cancer during the study period. Mean age was 63.2 years and 577 (56.5%) were male. Inhospital mortality for all patients with cancer was 24.0%. Total cost per patient was higher for patients with cancer compared to noncancer patients (CAD$57 084 vs CAD$40 730; P < .001) but there were no differences in the cost per day (CAD$2868 vs CAD$2887; P = .76) or ICU cost (CAD$30 495 vs CAD$29 382; P = .42). Among patients with cancer, the cost per day was higher for nonsurvivors (CAD$3477 vs CAD$2677; P < .001). Liver disease (odds ratio [OR]: 2.96; 95% confidence interval [CI]: 1.22-7.81), mechanical ventilation (OR: 1.73; 95% CI: 1.25-2.39), hematologic malignancy (OR: 3.88; 95% CI: 2.31-6.54), and unknown primary site (OR: 2.13; 95% CI: 1.36-3.35) were independently associated with mortality in patients with cancer.

CONCLUSION

Patients admitted to the ICU with cancer did not differ in cost per day, ICU cost, or mortality compared to matched noncancer controls. Among patients with cancer, nonsurvivors had significantly higher cost per day compared to survivors. Hematologic and unknown primaries, liver disease, and mechanical ventilation were independently associated with mortality in patients with cancer.

Predictability of individual circadian phase during daily routine for medical applications of circadian clocks

BACKGROUNDCircadian timing of treatments can largely improve tolerability and efficacy in patients. Thus, drug metabolism and cell cycle are controlled by molecular clocks in each cell and coordinated by the core body temperature 24-hour rhythm, which is generated by the hypothalamic pacemaker. Individual circadian phase is currently estimated with questionnaire-based chronotype, center-of-rest time, dim light melatonin onset (DLMO), or timing of core body temperature (CBT) maximum (acrophase) or minimum (bathyphase).METHODSWe aimed at circadian phase determination and readout during daily routines in volunteers stratified by sex and age. We measured (a) chronotype, (b) every minute (q1min) CBT using 2 electronic pills swallowed 24 hours apart, (c) DLMO through hourly salivary samples from 1800 hours to bedtime, and (d) q1min accelerations and surface temperature at anterior chest level for 7 days, using a teletransmitting sensor. Circadian phases were computed using cosinor and hidden Markov modeling. Multivariate regression identified the combination of biomarkers that best predicted core temperature circadian bathyphase.RESULTSAmong the 33 participants, individual circadian phases were spread over 5 hours, 10 minutes (DLMO); 7 hours (CBT bathyphase); and 9 hours, 10 minutes (surface temperature acrophase). CBT bathyphase was accurately predicted, i.e., with an error less than 1 hour for 78.8% of the subjects, using a new digital health algorithm (INTime), combining time-invariant sex and chronotype score with computed center-of-rest time and surface temperature bathyphase (adjusted R2 = 0.637).CONCLUSIONINTime provided a continuous and reliable circadian phase estimate in real time. This model helps integrate circadian clocks into precision medicine and will enable treatment timing personalization following further validation.FUNDINGMedical Research Council, United Kingdom; AP-HP Foundation; and INSERM.

Strengths and limitations of large databases in lung cancer radiation oncology research

There has been a substantial rise in the utilization of large databases in radiation oncology research. The advantages of these datasets include a large sample size and inclusion of a diverse population of patients in a real-world setting. Such observational studies hold promise in enhancing our understanding of questions for which evidence is conflicting or absent in lung cancer radiotherapy. However, it is critical that investigators understand the strengths and limitations of large databases in order to avoid the common pitfalls that beset observational analyses. This review begins by outlining the data variables available in major registries that are used most often in observational analyses. This is followed by a discussion of the type of radiotherapy-related questions that can be addressed using such datasets, accompanied by examples from the lung cancer literature. Finally, we describe some limitations of observational research and techniques to mitigate bias and confounding. We hope that clinicians and researchers find this review helpful for designing new research studies and interpreting published analyses in the literature.