Introduction: Cervical cancer is the third most common cancer in India. There is limited data on the treatment of relapsed cervical cancer from India; therefore, we report the outcomes of patients with recurrent cervical cancer who were treated with palliative chemotherapy (CT).
Materials and methods: This was a retrospective study of patients with recurrent cervical cancer who received palliative CT from January 2012 to December 2016. The demographic details, clinical profile and survival outcomes were collected. Patients were treated with carboplatin or paclitaxel and carboplatin. Local radiation was given for symptomatic patients. Patients were assessed for responses clinically and/or radiologically after three and six cycles of CT. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan–Meier method.
Results: Forty-six patients with recurrent cervical cancer were included in this analysis, with a median follow-up of 9.4 months. The median age was 49.5 (25–65) years and the median disease-free interval was 31.3 (2–196) months. Biopsy confirmation of relapse was established in 63%. The median number of CT cycles was six. Twenty-four (52.2%) patients completed six cycles of CT. The overall response rate was 56.5%. Patients with a complete or a partial response were more likely to have PFS > 6 months (p < 0.0001). Median PFS and OS were, respectively, 8.4 (95% CI 6.1–10.7) months and 10.3 (95% CI 6.8–13.8) months. The completion of all cycles of CT and the site of metastasis (nodal vs. visceral or combined) were found to be associated with OS.
Conclusion: Palliative CT with paclitaxel carboplatin is a safe and effective option in Indian patients with recurrent cervical cancer, with more than half of the patients completing the prescribed CT. Further prospective trials may be required to place this treatment in the right context, in this era of immunotherapy and targeted therapy. However, knowing the outcomes in our population and prognostic factors will help in better prognostication of patients, thereby channelling our limited resources where necessary.
Purpose: Little is known about the use of palliative and hospice care and their impact on healthcare utilization near the end of life (EOL) in early-onset pancreatic cancer (EOPC).
Methods: Patients with EOPC (= 50 years) were identified using the institutional tumor registry for years 2011–2018, and demographic, clinical, and rates of referral to palliative and hospice services were obtained retrospectively. Predictors of healthcare utilization, defined as use of = 1 emergency department (ED) visit or hospitalization within 30 days of death, place of death (non-hospital vs. hospital), and time from last chemotherapy administration prior to death, were assessed using descriptive, univariable, and multivariable analyses including chi-square and logistic regression models.
Results: A total of 112 patients with EOPC with a median age of 46 years (range, 29–50) were studied. Forty-four percent were female, 28% were Black, and 45% had metastatic disease. Fifty-seven percent received palliative care at a median of 7.8 weeks (range 0–265) following diagnosis. The median time between last chemotherapy and death was 7.9 weeks (range 0–102). Seventy-four percent used hospice services prior to death for a median of 15 days (range 0–241). Rate of healthcare utilization at the EOL was 74% in the overall population. Black race and late use of chemotherapy were independently associated with increase in ED visits/hospitalization and hospital place of death.
Conclusions: Although we observed early referrals to palliative care among patients with newly diagnosed EOPC, short duration of hospice enrollment and rates of healthcare utilization prior to death were substantial.
OBJECTIVES: Assess whether frequently-used claims-based end-o-life (EOL) measures are associated with higher ratings of care quality.
DESIGN: Retrospective cohort study.
SETTING/PARTICIPANTS: Deceased fee--for-service Medicare beneficiaries with cancer who underwent chemotherapy during July 2016 to January 2017 and died within 12 months and their caregiver respondents to an after-death survey (n = 2,559).
MEASUREMENTS: We examined claims-based measures of EOL care: chemotherapy 14 days or more before death; inpatient admissions, intensive care unit (ICU) use, and emergency department (ED) visits 30 days or more before death; hospice election and the timing of election before death. Primary outcomes are family ratings of “excellent” care in the last month of life and reports that hospice care began “at the right time.” Associations were assessed with logistic regression, adjusted by patient characteristics.
RESULTS: Family rated EOL care as excellent less often, if within 30 days before death the cancer patient had inpatient admissions (1 hospitalization = 41.5% vs 51.5% none, adjusted difference -10.1 percentage points), ICU use (38.6% for any ICU use vs 47.4% none; adjusted difference -8.8 percentage points), ED visits (41.0% 1 visit vs 51.6% no visits; adjusted difference -10.6 percentage points), or elected hospice within 7 days before death. Among hospice enrollees, family more often reported that hospice began at the right time if it started at least 7 days before death (hospice 1–2 days before death 60.2% vs hospice 7–13 days 74.9%; adjusted difference +14.7 percentage points).
CONCLUSIONS: Claims-based measures of EOL care for cancer patients that reflect avoidance of hospital-based care and earlier hospice enrollment are associated with higher ratings of care quality by bereaved family members.
Objective: Antitumour treatment in the last 2 weeks of death (ATT-W2) and a new regimen of ATT within 30 days of death (NATT-M1) are considered as aggressive end-of-life (EOL) care. We aimed to assess factors associated with inappropriate use of antitumour treatment (ATT) at EOL.
Methods: Data of patients with cancer who died in 2013, 2015, 2017 and 2019 in a single for-profit cancer centre were retrospectively analysed. ATT was divided into chemotherapy (CT), oral targeted therapy (OTT), hormonotherapy and immunotherapy (IMT).
Results: A total of 1282 patients were included. NATT-M1 was given to 197 (15.37%) patients, and 167 (13.03%) had an ATT-W2. Patients with a performance status of <2 and treated with CT had more both ATT- W2 (OR=2.45, 95% CI 1.65 to 3.65, and OR=10.29, 95% CI 4.70 to 22.6, respectively) and NATT-M1 (OR=2.01, 95% CI 1.40 to 2.90, and OR=8.41, 95% CI 4.46 to 15.86). Predictive factors of a higher rate of ATT-W2 were treatment with OTT (OR=19.08, 95% CI 7.12 to 51.07), follow-up by a medical oncologist (OR=1.49, 95% CI 1.03 to 2.17), miscellaneous cancer (OR=3.50, 95% CI 1.13 to 10.85) and length of hospital stay before death of <13 days (OR=1.92, 95% CI 1.32 to 2.79). Urinary tract and male genital cancers received less ATT-W2 (OR=0.38, 95% CI 0.16 to 0.89, and OR=0.40, 95% CI 0.16 to 0.99) and patients treated by IMT or with age <69 years more NATT-M1 (OR=19.21, 95% CI 7.55 to 48.8, and OR=1.69, 95% CI 1.20 to 2.37). Patients followed up by the palliative care team (PCT) had fewer ATT-W2 and NATT-M1 (OR=0.49, 95% CI 0.35 to 0.71, and OR=0.42, 95% CI 0.30 to 0.58).
Conclusions: Most recent ATT and access to a PCT follow-up are the two most important potentially modifiable factors associated with aggressive EOL in patients with cancer. Early integrated palliative oncology care could help to decrease futile ATT at EOL.
Palliative chemotherapy (PC) is associated with a modest survival benefit in patients with incurable esophageal and gastric cancer; however, changes in symptom profile during treatment are not well described. Understanding the trajectory of symptoms during treatment may lead to improved care and facilitate shared decision making. In this study, we address this knowledge gap among all patients receiving PC in the Canadian province of Ontario.
Background: This study was to investigate the prognostic factors of patients with advanced gastric cancer and described a sample model to better differentiate the patients who could better benefit from palliative chemotherapy.
Patients and methods: In this retrospective study, 112 gastric cancer patients at stage IV following first-line chemotherapy were enrolled from July 2013 to September 2019. The clinical factors including age, sex, ECOG, pathologic types, metastatic sites, blood indexes, response of first-line chemotherapy, and survival were collected. The treatment responses were evaluated using the response evaluation criteria in solid tumors (RECIST). The survival curves were drawn by the Kaplan-Meier method, and the independent prognostic factors of overall survival (OS) were analyzed by Cox proportional hazards regression model.
Results: In this study, the median overall survival (mOS) of gastric cancer patients was 10.5 months, the disease remission rate (PR) was 21.4%, and the disease control rate (DCR) was 86.6%. Multivariate analysis identified 5 independent prognostic factors: peritoneal metastasis [P = 0.002; hazard risk (HR), 2.394; 95% CI 1.394-4.113], hemoglobin <90g/L [P = 0.001; hazard risk (HR), 2.674; 95% CI 1.536-4.655], LDH =225 U/L [P = 0.033; hazard risk (HR), 1.818; 95% CI 1.409-3.150], and 3 times higher level of CEA [P = 0.006; hazard risk (HR), 2.123; 95% CI 1.238-3.640] along with CA199 [P = 0.005; hazard risk (HR), 2.544; 95% CI 1.332-4.856] than upper limit of normal. Based on the obtained data, a prognostic index was constructed, dividing the patients into three risk groups: low (n = 67), intermediate (n = 35), and high-risk group (n = 10). The mOS for low, intermediate, and high-risk groups was 13.9 months (95% CI 10.7-17.1), 8.1 months (95% CI 5.7-10.4), and 3.9 months (95% CI 2.6-5.3), respectively, whereas the 1-year survival rate was 56.4%, 20.0%, and 0.0%, respectively (P < 0.001).
Conclusion: This model should facilitate the prediction of treatment outcomes and then individualized treatment of advanced gastric cancer patients.
Background: African Americans with lung cancer are diagnosed at later stages and have high mortality rates. Chemotherapy is considered aggressive treatment near the end of life and prevents enrollment in hospice.
Objectives: This study explored chemotherapy in the last 30 and 14 days of life among African Americans with lung cancer.
Methods: A retrospective chart review was used to gather sociodemographic and treatment data on persons newly diagnosed with lung cancer between January 1, 2016 and June 30, 2017. African Americans with a documented date of death were included.
Results: The mean age (N=74) was 64.0 years, 58.1% were rural dwellers, and 59.5% had Medicare. Most had advanced stage non-small cell lung cancer (Stage IIIB, 18.8%; Stage IV, 46.4%). In this study, 17.6% received chemotherapy in the last 14 days of life and 27.0% received chemotherapy in the last 30 days of life. No significant associations between age, sex, residence (rural vs urban) and receipt of chemotherapy in the last 14 or 30 days of life were found. A significant association was found between type of insurance and chemotherapy in the last 14 or 30 days of life: Medicare was associated with chemotherapy in both last 14 days of life 2(1) = 4.448, p = .035 and last 30 days of life 2(1) = 4.773, p = .029. A binomial logistic regression using demographic factors, including insurance, was not significant.
Conclusion: Our results indicate a need for improvement in the number of individuals who receive chemotherapy in the final month of life.
PURPOSE: Cancer treatment for those nearing death has become increasingly aggressive over time despite evidence that less aggressive approaches are associated with better quality of life and sometimes longer survival. Chemotherapy administration in the last 14 days of life is one of the proposed benchmarks for quality of cancer care. The purpose of our study is to evaluate factors associated with aggressive cancer treatment in patients who died within 2 weeks of receiving chemotherapy.
METHODS: This retrospective cohort study evaluated adult patients who died between 1 February 2018 and 1 March 2019 after receiving cancer treatment in the preceding 14 days at the Prisma Health Cancer Institute. This project was approved by our institutional review board. Data was obtained by review of electronic medical records and analyzed using commercial software.
RESULTS: We identified 92 patients who met inclusion criteria for the study. Of those who were staged, 57% had metastatic disease. A majority received treatments with only palliative intent (54%). These patients overwhelmingly died in the hospital (62%). Few had documented advanced directives (28%) or dedicated palliative care for longer than 1 week (28%). Overall, this cohort reflects a rate of 11.7% of patients who received cancer treatment during the study time period.
SIGNIFICANCE OF RESULTS: Patients receiving aggressive cancer treatment at the end of life elucidate significant gaps in quality cancer care, particularly the early involvement of dedicated palliative care. Systematic review helped identify multiple gaps and assisted in implementing interventions to improve this outcome.
BACKGROUND: When curative treatments are no longer available for cancer patients, the aim of treatment is palliative. The emphasis of palliative care is on optimizing quality of life and provided support for patients nearing end of life. However, chemotherapy is often offered as a palliative therapy for patients with advanced cancer nearing death. The purpose of this review was to evaluate the state of the science relative to use of palliative chemotherapy and maintenance of quality of life in patients with advanced cancer who were at end of life.
MATERIALS AND METHODS: Published research from January 2010 to December 2019 was reviewed using PRISMA guidelines using PubMed, Proquest, ISI web of science, Science Direct, and Scopus databases. MeSH keywords including quality of life, health related quality of life, cancer chemotherapy, drug therapy, end of life care, palliative care, palliative therapy, and palliative treatment.
FINDINGS: 13 studies were evaluated based on inclusion criteria. Most of these studies identified that reduced quality of life was associated with receipt of palliative chemotherapy in patients with advanced cancer at the end of life.
CONCLUSION: Studies have primarily been conducted in European and American countries. Cultural background of patients may impact quality of life at end of life. More research is needed in developing countries including Mideastern and Asian countries.
One more chemo or one too many? The increasing use of expensive cancer treatments close to the patient's death is often explained by oncologists' failure to communicate to patients how close to dying they are, implying that patients are often both ill-prepared and over-treated when they die. This article aims at interrogating the politically charged task of prognosticating. Drawing on an ethnographic study of conversations between oncologists and patients with metastatic lung cancer in a Danish oncology clinic, I show that oncologists utilize, rather than avoid, prognostication in their negotiations with patients about treatment withdrawal. The study informs the emerging sociology of prognosis in three ways: First, prognostication is not only about foreseeing and foretelling, but also about shaping the patient's process of dying. Second, oncologists prognosticate differently depending on the level of certainty about the patient's trajectory. To unfold these differences, the article provides a terminology that distinguishes between four 'modes of prognostication', namely hinting, informing, calibrating and organizing. Third, prognosticating can unfold over time through multiple consultations, emphasizing the relevance of adopting methodologies enabling the study of prognosticating over time.
Background: The outcome and tolerability of palliative second line chemotherapy for advanced pancreatic cancer (APC) in real life patients are largely unknown. Prognostic parameters for risk stratification and treatment guidance are lacking.
Materials and Methods: A population based multicenter retrospective cohort study was conducted, covering all APC patients who received palliative second-line chemotherapy between 2011 and 2018 at any cancer center in the South East Region of Sweden. Primary outcome was overall survival after second-line therapy (OS2). Time to treatment failure after second-line therapy (TTF2), hematological toxicity, and unplanned hospitalizations were key secondary outcomes. A number of baseline potentially prognostic parameters were assessed.
Results: A total of 509 patients received first-line palliative chemotherapy, and of these 167 (33%) received at least one dose of second-line therapy and formed the final study population. Median OS2 was 5.2 months (95% CI = 4.7–5.7) and median TTF2 was 1.9 months (1.5–2.2). OS2 and TTF2 were similar regardless regimen, including comparison of the two most common regimens (fluoropyrimidine monotherapy vs. fluoropyrimidine/oxaliplatin doublet). Multivariate analysis revealed that normal plasma albumin (=35) and serum CA-19-9 above median (>1,550) were independent predictors for OS2 (HR = 0.21, p < 0.001 and HR = 2.03, p = 0.009) and TTF2 (HR = 0.22, p < 0.001 and HR = 2.03, p = 0.01), while ECOG performance status >1 was predictive for TTF2 (HR = 2.05, p = 0.032). Grade 3–4 hematological toxicity was registered in 17 patients (10%). 50 (30%) had at least one event of hospitalization.
Conclusion: The real world outcome of second line palliative chemotherapy for refractory APC remains dismal. Baseline plasma albumin, serum CA-19-9, and performance status emerge as key prognostic factors, and should be further studied as tools for individualized treatment decisions.
For patients with recurrent ovarian cancer, the goals of chemotherapy include palliation of disease-related symptoms with minimum treatment-related side effects. However, there is currently a paucity of data regarding the initiation of palliative chemotherapy. This study aimed to compare the differences in survival rates and toxicities between patients with recurrent ovarian cancer who started palliative chemotherapy immediately versus those who received delayed chemotherapy. Through a retrospective chart review, patients who received more than three lines of chemotherapy were included. Based on the timing of third-line chemotherapy initiation, the patients were divided into two groups: delayed (DTG) and immediate (ITG) treatment groups. The chi-square test or Fisher's exact tests, and t-test or Mann-Whitney U test were used for comparing variables, as appropriate. The Kaplan-Meier method was used for survival analysis. P-value of <0.05 was considered significant. Although there was no statistically significant difference, the total number of regimens and cycles was lower in the DTG than in the ITG. No differences in toxicities and survival rates were observed between the two groups. Overall, survival and toxicity did not differ significantly between the two groups. In a palliative care setting, our findings suggest that delaying the treatment had no adverse effect on survival. Despite the lack of evidence of a survival benefit with aggressive treatment, patients chose to continue chemotherapy. Because recurrent ovarian cancer is a complex condition, patients require sufficient explanation and time to fully understand the costs and benefits related to aggressive chemotherapy.
Background: The association between the survival or efficacy of chemotherapy and the Lauren subtype of gastric cancer (GC) remains unclear. We aimed to clarify whether patients with different Lauren subtypes have different survival after treatment with systemic chemotherapy: intestinal gastric cancer (IGC) patients survived better than patients with mixed type gastric cancer (MGC) or diffuse gastric cancer (DGC) after treatment with systemic chemotherapy.
Patients & methods: Relevant studies for the meta-analysis were identified through searching Pubmed, Embase, Cochrane and Ovid up to March 2020. We also included our own prospectively collected cohort of patients that were followed over a 10-year period. Sub-group and sensitivity analyses were also performed.
Results: In our prospective cohort, the overall survival (OS) of IGC patients receiving systemic chemotherapy (chemoIGC) [median OS 5.01 years, interquartile range (IQR) 2.63–6.71] was significantly higher than that of DGC patients receiving the same chemotherapy (chemoDGC) (median OS 1.33 years, IQR 0.78–3.33, p = 0.0001). After adjusting for age, gender and cancer stage, there was a significant difference in OS in patients treated with chemotherapy based on the Lauren classification of GC {hazard ratio (HR) for OS of the IGC versus DGC 0.33, [95% confidence interval (CI), 0.17–0.65; p < 0.001]}. In the IGC patients, the adjusted HR associated with chemotherapy was 0.26 (95% CI, 0.12–0.56; p = 0.001), whereas the association was 0.64 (95% CI, 0.30–1.33; p = 0.23) in the DGC patient group.
In our meta-analysis, 33 studies comprising 10,246 patients treated with systemic chemotherapy (chemoIGC n = 4888, chemoDGC n = 5358) met all the selection criteria. While we accounted for much of the heterogeneity in these studies, we found that chemoIGC patients showed significantly improved OS [HR, 0.76 (95% CI, 0.71–0.82); p < 0.00001] when compared with similarly treated chemoDGC patients.
Conclusion: Our results support the consideration of Lauren subtype when prescribing systemic chemotherapy for GC, particularly for MGC or DGC, which may not benefit from chemotherapy. Lauren classification should be considered to stratify chemotherapy regimens to GC patients in future clinical trials, with particular relevance to MGC or DGC, which is more difficult to treat with current regimens.
Introduction: Initiation of chemotherapy in patients with cancer near end-of-life (EOL) has become more frequent due to an increasing number of treatment options. We aimed to analyze the proportion of metastatic colorectal cancer patients (mCRC) in Alberta, Canada, who were started on a new chemotherapy regimen within 90 days of death.
Methods: This was a retrospective, population-based study using data from the cancer measurement outcomes and evaluation (C-MORE) database. All patients who received chemotherapy for mCRC in a large Canadian province from January 1, 2011, to December 31, 2016, were included in the current analysis. We identified the proportion of patients who initiated chemotherapy near EOL. Further, we analyzed the associations of baseline factors with initiation of chemotherapy near EOL.
Results: We identified 511 patients with mCRC who received chemotherapy. Of these, 132 (25.8%) initiated chemotherapy near EOL. Charlson’s comorbidity index (CCI) score (score 1: OR, 0.524; 95% CI, 0.279–0.985; P = 0.045; CCI score > 1: OR, 0.366; 95% CI, 0.180–0.746; P = 0.006) and Eastern cooperative oncology group performance status (ECOG PS) (ECOG PS 2: OR, 4.457; 95% CI 2.518–7.890; P < 0.0001; ECOG PS > 2: OR 7.725; 95% CI 3.465–17.222; P < 0.0001) were predictive of initiation of chemotherapy near EOL. The most frequent chemotherapy regimens initiated were FOLFIRI (17%), capecitabine (15%), and panitumumab (15%), respectively.
Conclusions: Chemotherapy is frequently initiated near EOL in patients with mCRC. Routine clinical assessments including ECOG PS and comorbid medical conditions can help select patients with mCRC who are unlikely to benefit from palliative chemotherapy and prevent the adverse events and healthcare costs associated with such interventions near EOL.
Aims of the study: Blood coagulation parameters are colossally important for clinical evaluation of palliative chemotherapy; however, this niche was not explored earlier for advanced-stage non-small cell lung cancer (NSCLC). Study focuses to explore the clinical relevancy of Coagulation parameters; prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), D-dimer and international normalised ratio (INR) and their response to palliative chemotherapy in advanced-stage NSCLC.
Methods: A retrospective study was conducted between 2013 and 2019 in Jiangsu Cancer hospital, Nanjing, PR. China. Medical records of 5445 patients were succinctly reviewed and classified accordingly to the inclusion and exclusion criteria. A total of 216 advanced NSCLC patients who used a first-line chemotherapy and antiangiogenic therapy regimen were enrolled in this study under ethical approval (JSCH-2020C-009). Blood samples were collected from these patients to measure the response levels of these coagulation parameters at time of admission to hospital and at the beginning of 4 cycles of Palliative therapy. We find the clinical value of all these coagulation parameters by using SPSS 24. Univariate Cox regression and Multivariate Cox regression models were used to identify the factors that were associated with progression-free survival (PFS) and the response to palliative chemotherapy.
Results: In the Kaplan-Meier survival analysis for overall median (95% CI) survival of high pre-treatment coagulation parameters showed shorter PFS compared with normal pre-treatment except TT and their overall median (95% CI) follow-up was 3.3 (3.12-3.47). Coagulation parameters have showed clinical relevance as a potential independent prognostic factor of PFS in the Univariate Cox regression. In multivariable model, Age (=60 years vs < 60 years), cancer differentiation (Unknown vs Poor), PT (High vs Normal) range, FIB (High vs Normal) range and D-dimer (High vs Normal) range, (P = .025, P = .045, P = .029, P = .049 and P = .011, respectively) were associated as a prognostic factor of PFS in NSCLC. Patients on 3-drugs regimen found to have better PFS compared with the ones taking the 2-drugs treatment regimen (P = .043).
Conclusion: The high range of PT, FIB and D-dimers was associated with poor prognosis of advanced-stage NSCLC. Our findings also confirmed that patients on 3-drugs regimen showed longer PFS compared with 2-drugs regimen.
Background: For patients with metastatic cancer, treatment with palliative chemotherapy can lead to more aggressive end-of-life (EOL) care. This retrospective study aimed to assess the time from the last
chemotherapy treatment to death and investigate the variables associated with the delivery of palliative chemotherapy near the end of life.
Methods: Data from patients who died from metastatic cancer after receiving palliative chemotherapy from April 2007 to June 2019 at the Department of Integrated Therapy of Fudan University, Shanghai Cancer
Center were analyzed. Statistical analysis was performed to evaluate variables including the patient’s age,Charlson comorbidities, caregivers, and the type of cancer.
Results: A total of 605 patients were included in the analysis, of whom 335 (58.7%) were treated with palliative chemotherapy during their last year of life and 16.2% were treated in their last month of life. Treatment with palliative chemotherapy in the last month was independently associated with age (P<0.001). In the last year of life, treatment with palliative chemotherapy differed significantly according to caregivers
and age (P<0.001). The interval between the last chemotherapy treatment and death was the shortest for patients whose caregivers were adult children or those aged =50 years.
Conclusions: In this study, palliative chemotherapy was used to treat 58.7% of patients in their last year, and 16.2% of patients in their last month, which is in line with international recommendations. In the last
month, palliative chemotherapy was independently associated with age (P<0.001), whereas patients were more likely to receive palliative chemotherapy in their last year if their caregivers were adult children or if
they were aged =50 years. Significant variations in EOL treatment strategies were observed according to caregivers and patient age during the last year of life.
BACKGROUND AND OBJECTIVES: The use of chemotherapy at the end of life in advanced cancer patients has increased and end of life care has become increasingly aggressive. The aim of this study is to evaluate patients receiving chemotherapy in the last 3 months of life and the aggressiveness of end-of-life support of these patients.
METHODS: All adult patients with solid tumors who received chemotherapy in their last 3 months of life and died in our hospital between January 2015 to June 2019 were included. Detailed information on chemotherapy and toxicity was collected in patient records.
RESULTS: A total of 182 patients included. Median age was 58,9 years. The median survival from the docementation of metastatic disease was 9,98 months (0,95-64,3). Of these 182 patients, 95 (52%) were treated with chemotherapy in the last month of life and 52 (29%) in the last 2 weeks of life. The median number of days between the last administration of chemotherapy and patient death was 29 (0-90). A new chemotherapy regimen was started in the last 3 months of life in 102 patients (56%), in the last month of life in 43 patients (23,6%) and in the last 2 weeks in 23 patients (12.6%).
DISCUSSION AND IMPLICATIONS: There are many patients who received chemotherapy in the last 3 months of their life and the rates of chemotherapy initiation during this period are well above ideal rates. Whether such care has positive effects on survival or quality of life is questionable and deserves additional investigation.
CONTEXT: Many advanced cancer patients have unrealistic prognostic expectations.
OBJECTIVES: We tested whether offering life expectancy (LE) statistics within palliative chemotherapy (PC) education promotes realistic expectations.
METHODS: In this multicenter trial, patients with advanced colorectal and pancreatic cancers initiating first or second line PC were randomized to usual care versus a PC educational tool with optional LE information. Surveys at 2 weeks and 3 months assessed patients' review of the LE module and their reactions; at 3 months, patients estimated their LE and reported occurrence of prognosis and end-of-life (EOL) discussions. Wilcoxon tests and proportional odds models evaluated between-arm differences in LE self-estimates, and how realistic those estimates were (based on cancer type and line of treatment).
RESULTS: From 2015-2017, 92 patients were randomized to the intervention and 94 to usual care. At baseline most patients (80.9%) wanted "a lot" or "as much information as possible" about the impact of chemotherapy on LE. Among patients randomized to the intervention, 52.0% reviewed the LE module by 2 weeks and 66.7% by 3 months - of whom 88.2% reported the information was important, 31.4% reported it was upsetting, and 3.9% regretted reviewing it. Overall, patients' LE self-estimates were very optimistic; 71.4% of colorectal cancer patients estimated >5yrs; 50% pancreatic patients estimated >2yrs. The intervention had no effect on the length or realism of patients' LE self-estimates, or on the occurrence of prognostic or EOL discussions.
CONCLUSIONS: Offering LE information within a PC educational intervention had no effect on patients' prognostic expectations.
Background: Pancreatic cancer primarily affects older adults and is associated with a high morbidity and mortality. Identifying frail patients with advanced pancreatic cancer (APC) helps to mitigate the risks of chemotherapy (CT). The modified Frailty Index (mFI) is an 11-point deficit measure used to identify frail patients. Although validated in surgical fields, it has not been assessed in an APC population.
Methods: A retrospective cohort study evaluated consecutive patients, aged =65 years, diagnosed with APC from 2011 to 2016 and treated with first line palliative-intent CT. mFI was categorized as: 0, 1, 2 and = 3. Descriptive analysis was completed comparing patient characteristics, CT toxicity, response to treatment, and overall survival (OS) by mFI score.
Results: 87 patients with APC received palliative CT. Median age was 71 (65–88), 54% male. A mFI score of 0, 1, 2, and = 3 occurred for 20 (23%), 28 (32.2%), 25 (28.7%) and 14 (16.1%) patients respectively. Patients with mFI scores of 0–1 were more likely to receive: 5-fluorouracil, irinotecan and oxaliplatin. CT toxicity, emergency room (ED) and urgent cancer clinic (UCC) presentation, and hospitalization length did not differ by mFI. Longer OS was associated with better ECOG and receipt of combination CT.
Conclusion: This is the first assessment of the mFI in an APC population receiving CT. The mFI score did not correlate with toxicity, ED/UCC visits, hospitalization length or OS. Ongoing assessment of tools that accurately identify frailty in patients with APC is critical to help better select candidates for aggressive CT.
BACKGROUND: Shenzhen is a rapidly growing city in China with a population of over 11 million. The Hong Kong University-Shenzhen Hospital (HKU-SZH) was established in 2012 as a new model of publicly funded health care in mainland China. The clinical oncology center of the HKU-SZH was launched in 2013 which pledged to provide integrated palliative care for advanced cancer patients. This study aims to retrospectively analyze the quality of end-of-life care amongst patients with advanced cancer during their last hospitalization in the HKU-SZH.
METHODS: Consecutive patients with advanced solid cancer who passed away in the HKU-SZH from March 2013 to February 2016 were analyzed. Clinical information regarding cancer diagnosis, anticancer treatments, and the aggressiveness of the treatment during the last month of life was recorded. The discussions on the Do-Not-Resuscitate (DNR) order with family members were reviewed.
RESULTS: From March 2013 to February 2016, 441 patients with advanced solid cancer passed away in the HKU-SZH. A minority of them (9.3%, 41/441) received cytotoxic chemotherapy in the last month of life. Younger patients had high odds of receiving chemotherapy in their last month of life (OR 2.6, P=0.006). Those who received chemotherapy in their last month of life showed a trend of higher odds of admission to the intensive care unit (OR 2.94, P=0.08). The vast majority of family members / care providers (92.3%, 407/441) consented to the DNR order suggested by oncologists. The rate of DNR acceptance in this cohort was higher than previous reports from mainland China. Within HKU-SZH, the rate was higher in the oncology center than in other departments (OR 5.1, P<0.001). The use of chemotherapy in the last month of life did not associated with the acceptance of DNR (OR 1.3, P=0.23).
CONCLUSIONS: The integrated oncology service of the new public hospital HKU-SZH achieved a satisfactory level of end-of-life care in patients with advanced cancer. Further studies are warranted to improve the early integration of palliative care service and to investigate the impact of palliative care on costeffectiveness of oncology service.