Symptom improvement as prognostic factor for survival in cancer patients undergoing palliative care: a pilot study

Comparison of survival times of advanced cancer patients with palliative care at home and in hospital

OBJECTIVES

One primary concern about receiving care at home is that survival might be shortened because the quality and quantity of treatment provided at home will be inferior to that given in the hospital. Although our previous study demonstrated a longer survival of those with home-based palliative care (PC), it lacked adjustment for some potential confounders including symptoms and treatments during the stay. We aimed to compare the survival times among advanced cancer patients receiving home-based and hospital-based PC with adjusting for symptoms and treatments.

METHOD

We compared survival time of participants who enrolled two multicenter, prospective cohort studies of advanced cancer patients at 45-home-based PC services between July 2017 and December 2017, and at 23-hospital-based PC services between January 2017 and December 2017. We analyzed with stratification by the estimated survival of Days, Weeks, and Months, which were defined by modified Prognosis in Palliative care Study predictor models-A. We conducted a Cox regression analysis with adjusting for potential confounders including symptoms and treatments during the stay.

RESULTS

A total of 2,998 patients were enrolled in both studies and 2,878 patients were analyzed; 988 patients receiving home-based PC and 1,890 receiving hospital-based PC. The survival time of patients receiving home-based PC was significantly longer than that of patients receiving hospital-based PC for the Days Prognosis (estimated median survival time: 10 days [95% CI 8.1-11.8] vs. 9 days [95% CI 8.3-10.4], p = 0.157), the Weeks prognosis (32 days [95% CI 28.9-35.4] vs. 22 days [95% CI 20.3-22.9], p < 0.001), and the Months Prognosis, (65 days [95% CI 58.2-73.2] vs. 32 days [95% CI 28.9-35.4], p < 0.001).

CONCLUSION

In this cohort of advanced cancer patients with a Weeks or Months prognosis, those receiving home-based PC survived longer than those receiving hospital-based PC after adjusting for symptoms and treatments.

Assessment of Changes in Symptoms Is Feasible and Prognostic in the Last Weeks of Life: An International Multicenter Cohort Study

Background: Symptoms are not typically part of established various prognostic factors and scoring systems but are among the most frequently assessed issues in patient care. Objectives: To evaluate that, changes in symptoms can provide additional useful prognostic information. Design: A secondary analysis of an international cohort study in Japan, Korea, and Taiwan. Setting/Subjects: Subjects were adult patients with advanced cancer (n = 2074) who were admitted to 37 palliative care units (PCUs) in 3 countries from January 2017 to September 2018. Measurements: Symptoms (dyspnea, fatigue, dry mouth, and drowsiness) were assessed at admission and one-week later. Dyspnea was assessed by the presence of resting and exertional dyspnea, whereas other symptoms were assessed using the Integrated Palliative care Outcome Scales (IPOS) (range 0-4). For analysis, we grouped patients by symptom change, as either Improved, Stable, or Worsened (by having at least a one increment decrease, no change, or at least a one increment increase, respectively). Results: Worsened groups had the shortest survival (median survival 15-21 days) compared with those with Improved (median survival 23-31 days) and Stable symptoms (median survival 27-29 days) across all four symptoms (dyspnea, fatigue, dry mouth, and drowsiness). Survival differences were statistically significantly different across all three groups for all symptoms (all p < 0.001). Interestingly, Improved symptoms were associated with similar survival compared with Stable groups, with no statistical differences. Conclusions: Worsened symptoms at one week after admission were useful predictors of survival for patients with advanced cancer in PCUs during the final weeks of life. Longitudinal assessments are needed to reflect passage of time as well as impact of treatments.

Association between continuous deep sedation and survival time in terminally ill cancer patients

PURPOSE

Our study aimed to evaluate the association between CDS and survival time using the likelihood of receiving CDS to select a matched non-CDS group through an accurate measurement of survival time based on initiation of CDS.

METHODS

A retrospective cohort study was performed using an electronic database to collect data regarding terminally ill cancer patients admitted to a specialized palliative care unit from January 2012 to December 2016. We first used a Cox proportional hazard model with receiving CDS as the outcome to identify individuals with the highest plausibility of receiving CDS among the non-CDS group (n = 663). We then performed a multiple regression analysis comparing the CDS group (n = 311) and weighted non-CDS group (n = 311), using initiation of CDS (actual for the CDS group; estimated for the non-CDS group) as the starting time-point for measuring survival time.

RESULTS

Approximately 32% of participants received CDS. The most common indications were delirium or agitation (58.2%), intractable pain (28.9%), and dyspnea (10.6%). Final multiple regression analysis revealed that survival time was longer in the CDS group than in the non-CDS group (Exp(β), 1.41; P < 0.001). Longer survival with CDS was more prominent in females, patients with renal dysfunction, and individuals with low C-reactive protein (CRP) or ferritin, compared with their counterpart subgroup.

CONCLUSIONS

CDS was not associated with shortened survival; instead, it was associated with longer survival in our terminally ill cancer patients. Further studies in other populations are required to confirm or refute these findings.

Cancer Patients Dying in the Intensive Care Units and Access to Palliative Care

BACKGROUND

In France, cancer has become the leading cause of death. Intensive care units (ICU) focus on survival, which may not be an appropriate setting to provide palliative care (PC) as needed by cancer patients and families.

OBJECTIVE

To describe the cancer patients who died in the ICU in 2010 in a French academic medical center.

DESIGN

Retrospective study Measurements: We reviewed medical records of all cancer patients who died in the ICU in 2010. The information collected from electronic medical records included patient sociodemographics and clinical characteristics, PC service referral, and the date of first contact with PC.

RESULTS

Among the 536 cancer patients who died in 2010, 42 (8%) died in the ICU. The cancers were hematological (21%), gastrointestinal (21%) and head and neck (21%). One patient had a PC referral versus 45% in the total population (p < 0.001) and the referral was the same day as the death. Eight (19%) patients had chemotherapy during their last month of life and 2 during the ICU hospitalization. Seventy-four per cent of patient admissions to the ICU related directly to malignancy. The mean time between diagnosis of cancer and death was 2.3 years (standard deviation, 4.4).

CONCLUSIONS

Our work highlights the need for early PC in the illness trajectory of cancer patients to prevent the transfer of dying patients to the ICU. More studies are needed to understand the decision making leading to such transfers.

Treatment of Metastatic Colorectal Cancer Patients ≥75 Years Old in Clinical Practice: A Multicenter Analysis

BACKGROUND

Colorectal cancer patients have a median age of incidence >65years although they are largely under-represented in phase-III trials. This large population contains patients unfit for treatment, those suitable for monotherapy or for doublets and the impact of chemotherapy outside clinical trial is unclear. The aim of the study was to retrospectively analyse Overall Survival(OS) of elderly metastatic colorectal cancer(mCRC) patients treated with chemotherapy in daily practice.

METHODS

Kaplan-Meir method was used for OS, the log-rank or Tarone-Ware test for differences between subgroups, Cox's proportional hazard model to assess the impact of known prognostic factors and treatment.

RESULTS

751 patients with mCRC observed between January 2000 and January 2013 were collected. Median age was 79 year(75-93); Male/Female 61/39%, ECOG-PS 0-1/2 85/15%; colon/rectum 74/26%; multiple metastatic sites 34%, only liver metastasis in 41% of patients. KRAS status was studied in 35% of patients: 44% of them showed gene mutation. 20.5% of patients did not received any kind of treatment including surgery. Comorbidities observed: cardiovascular 34%, diabetes 14%, hypertension 50%. Primary tumor was resected in 80.6%; surgery of liver metastasis was done in 19% of patients (2.3% of patients >80years). 78% of patients underwent chemotherapy. Median follow up was 12 months(range 1-124). Median OS was 17 months (CI 95%15-19);median OS in no-treated patients was 5 months (4-6); mOS of patients with at least one treatment was 20 months (18-22). In KRAS mutated group median OS was 19months (15-23) while in KRAS wild type patients median OS was 25 months (20-30). At multivariate analysis sex(Female), age(<80y), performance status(0-1), chemotherapy, Surgery of metastasis, Surgery of primary tumor and Site of metastasis(liver) were prognostic factors for OS.

CONCLUSION

The results of our study show that in clinical practice treatment has a positive impact on OS of elderly patients, confirmed at multivariate analysis, included patients with age >80 years old or with a poor performance status (respectively p<0.0001 and p<0.0001). KRAS analysis deserve further evaluation.

Update on Prevalence of Pain in Patients With Cancer: Systematic Review and Meta-Analysis

CONTEXT

Cancer pain has a severe impact on quality of life and is associated with numerous psychosocial responses. Recent studies suggest that treatment of cancer pain has improved during the last decade.

OBJECTIVES

The aim of this review was to examine the present status of pain prevalence and pain severity in patients with cancer.

METHODS

A systematic search of the literature published between September 2005 and January 2014 was performed using the databases PubMed, Medline, Embase, CINAHL, and Cochrane. Articles in English or Dutch that reported on the prevalence of cancer pain in an adult population were included. Titles and abstracts were screened by two authors independently, after which full texts were evaluated and assessed on methodological quality. Study details and pain characteristics were extracted from the articles with adequate study quality. Prevalence rates were pooled with meta-analysis; meta-regression was performed to explore determinants of pain prevalence.

RESULTS

Of 4117 titles, 122 studies were selected for the meta-analyses on pain (117 studies, n = 63,533) and pain severity (52 studies, n = 32,261). Pain prevalence rates were 39.3% after curative treatment; 55.0% during anticancer treatment; and 66.4% in advanced, metastatic, or terminal disease. Moderate to severe pain (numerical rating scale score ≥5) was reported by 38.0% of all patients.

CONCLUSION

Despite increased attention on assessment and management, pain continues to be a prevalent symptom in patients with cancer. In the upcoming decade, we need to overcome barriers toward effective pain treatment and develop and implement interventions to optimally manage pain in patients with cancer.

Coming and going: predicting the discharge of cancer patients admitted to a palliative care unit: easier than thought?

PURPOSE

Discharging a patient admitted to an inpatient palliative care unit (PCU) is a major challenge. A predictor of the feasibility of home discharge at the time of admission would be very useful. We tried to identify such predictors in a prospective observational study.

METHODS

Sixty patients with advanced cancer admitted to a PCU were enrolled. Sociodemographic data were recorded and a panel of laboratory tests performed. The Karnofsky performance status scale (KPS) and the palliative performance scale (PPS) were determined. A palliative care physician and nurse independently predicted whether the patient would die at the ward. The association of these variables with home discharge or death at the PCU was determined.

RESULTS

Sixty patients (26 men and 34 women) with advanced cancer were included in the study. Discharge was achieved in 45 % of patients, while 55 % of patients died at the PCU. The median stay of discharged patients was 15.2 days, and the median stay of deceased patients 13.6 days. Median KPS and PPS on admission was 56.2 % for the entire group and significantly higher for discharged patients (60.7 %) compared to deceased patients (52.4 %). Median BMI on admission was 22.8 in the entire group and was similar in discharged and deceased patients. No correlation was found between a panel of sociodemographic variables and laboratory tests with regard to discharge or death. In a binary logistic regression model, the probability of discharge as estimated by the nurse/physician and the KPS and PPS were highly significant (p = 0.008).

CONCLUSION

Estimation by a nurse and a physician were highly significant predictors of the likelihood of discharge and remained significant in a multivariate logistic regression model including KPS and PPS. Other variables, such as a panel of laboratory tests or sociodemographic variables, were not associated with discharge or death.

New symptom-based predictive tool for survival at seven and thirty days developed by palliative home care teams

AIM

This study sought to develop models to predict survival at 7 and 30 days based on symptoms detected by palliative home care teams (PHCTs).

MATERIALS AND METHODS

This prospective analytic study included a 6-month recruitment period with patient monitoring until death or 180 days after recruitment. The inclusion criteria consisted of age greater than 18 years, advanced cancer, and treatment provided by participating PHCTs between April and July 2009. The study variables included death at 7 or 30 days, survival time, age, gender, place of residence, type of tumor and extension, presence of 11 signs and symptoms measured with a 0-3 Likert scale, functional and cognitive status, and use of a subcutaneous butterfly needle. The statistics applied included a descriptive analysis according to the percentage or mean±standard deviation. For symptom comparison between surviving and nonsurviving patients, the χ(2) test was used. Classification and regression tree (CART) methodology was used for model development. An internal validation system (cross-validation with 10 partitions) was used to ensure generalization of the models. The area under the receiver operating characteristics (ROC) curve was calculated (with a 95% confidence interval) to assess the validation of the models.

RESULTS

A total of 698 patients were included. The mean age of the patients was 73.7±12 years, and 60.3% were male. The most frequent type of neoplasm was digestive (37.6%). The mean Karnofsky score was 51.8±14, the patients' cognitive status according to the Pfeiffer test was 2.6±4 errors, and 8.3% of patients required a subcutaneous butterfly needle. Each model provided 8 decision rules with a probability assignment range between 2.2% and 99.1%. The model used to predict the probability of death at 7 days included the presence of anorexia and dysphagia and the level of consciousness, and this model produced areas under the curve (AUCs) of 0.88 (0.86-0.90) and 0.81 (0.79-0.83). The model used to predict the probability of death at 30 days included the presence of asthenia and anorexia and the level of consciousness, and this model produced AUCs of 0.78 (0.77-0.80) and 0.77 (0.75-0.79).

CONCLUSION

For patients with advanced cancer treated by PHCTs, the use of classification schemes and decision trees based on specific symptoms can help clinicians predict survival at 7 and 30 days.

Detection of lung cancer relapse using self-reported symptoms transmitted via an internet web-application: pilot study of the sentinel follow-up

PURPOSE

We aimed to investigate whether patient self-evaluated symptoms transmitted via Internet can be used between planned visits to provide an early indication of disease relapse in lung cancer.

METHODS

Between 2/2013 and 8/2013, 42 patients with lung cancer having access to Internet were prospectively recruited to weekly fill a form of 11 self-assessed symptoms called "sentinel follow-up". Data were sent to the oncologist in real-time between planned visits. An alert email was sent to oncologist when self-scored symptoms matched some predefined criteria. Follow-up visit and imaging were then organized after a phone call for confirming suspect symptoms. Weekly and monthly compliances, easiness with which patients used the web-application and the accuracy of the sentinel follow-up for relapse detection were assessed and compared to a routine visit and imaging follow-up.

RESULTS

Median follow-up duration was 18 weeks (8-32). Weekly and monthly average compliances were 79 and 94 %, respectively. Sixty percents of patients declared to be less anxious during the few days before planned visit and imaging with the sentinel follow-up than without. Sensitivity, specificity, positive, and negative predictive values provided by the sentinel (planned imaging) follow-up were 100 %(84 %), 89 %(96 %), 81 %(91 %), and 100 %(93 %), respectively and well correlated with relapse (pχ (2) < 0.001). On average, relapses were detectable 5 weeks earlier with sentinel than planned visit.

CONCLUSION

An individualized cancer follow-up that schedule visit and imaging according to the patient status based on weekly self-reported symptoms transmitted via Internet is feasible with high compliance. It may even provide earlier detection of lung cancer relapse and care.

Evaluation of Prescribing Medications for Terminal Cancer Patients near Death: Essential or Futile

PURPOSE

The purpose of this study is to evaluate the prescription of essential or futile medications for terminal cancer patients during their final admission.

MATERIALS AND METHODS

We conducted a retrospective review of the medical charts of terminally ill cancer patients admitted to the Hemato-oncology Department of two teaching hospitals from March 1, 2007 to December 31, 2009. Essential medications were based on the drugs listed by the International Association for Hospice and Palliative Care, while futile medications were defined when short-term benefit to patients with respect to survival, quality of life, or symptom control was not anticipated.

RESULTS

A total of 196 patients were included. Among essential medications, strong opioids were the most frequently prescribed drugs during the last admission (62.2% fentanyl, 44.3% morphine), followed by megestrol (46.0%), and metoclopramide (37.2%); 51% of gastric protectors were prescribed with potential futility. Anti-hypertensive and antiglycemic agents were administered to those who experienced arterial blood pressure below 90 mm Hg (47.3%) or presented with a single measurement of fasting glucose below 50 mg/dL (10.7%), respectively. Statins were prescribed to 6.1% (12/196) of patients, and 75% of those prescriptions were regarded as futile.

CONCLUSION

Our data suggest that effective prescription of essential medications and withdrawal from futile medications should be actively reconciled for improvement of a patient's end-of-life care.

Detecting lung cancer relapse using self-evaluation forms weekly filled at home: the sentinel follow-up

PURPOSE

We aimed to assess if patients' ratings of symptoms can be used to provide an early indication of disease recurrence or progression in lung cancer. We proposed a simple self-evaluation form made of six clinical parameters weekly scored by patients at home as a follow-up--here named sentinel--to improve relapse detection. Its performances were compared to those of a routine imaging follow-up.

METHODS

Patients with lung cancer were prospectively recruited to weekly fill a form at home for self-assessing weight, fatigue, pain, appetite, cough, and breathlessness during at least 4 months. Each patient reported weight and assessed the severity of each symptom by grading it from 0 (no symptom) to 3 (major symptom). A score was retrospectively designed for discriminating patients with relapse from those without. Accuracy of relapse detection was then compared to values of the routine planned imaging.

RESULTS

Forty-three patients were included in our center and recruited for 16 weeks or more follow-up during which at least one tumor imaging assessment was performed (CT scan or PET-CT). Forty-one completed the form weekly. Sensitivity, specificity, and positive and negative predictive values of sentinel were high (86, 93, 86 % and 93 vs 79, 96, 92, and 90 % for routine imaging--p = ns) and well correlated with relapse (pχ2 > 0.001). Moreover, relapses were detectable with sentinel on average 6 weeks earlier than the planned imaging.

CONCLUSION

This study suggests that a personalized cancer follow-up based on a weekly self-evaluation of six symptoms is feasible and may be accurate for earlier detection of lung cancer relapse, allowing integration in electronic devices for real-time patient outcome follow-up.