Trajectories of health-related quality of life and symptom burden in patients with advanced cancer towards the end of life: Longitudinal results from the eQuiPe study.

BACKGROUND: Support for health-related quality of life (HRQOL) is an essential part of cancer care in the final stages of life, yet empirical guidance regarding HRQOL and symptom trajectories is lacking. AIM: To assess the change in HRQOL and symptom burden in the last year of life in patients with advanced cancer and its association with health care-related factors, cancer-specific treatment, and comorbidity. METHODS: A prospective, multicenter, observational study in patients with advanced cancer (eQuiPe). Three monthly questionnaires included European Organization for Research and Treatment of Cancer Quality of Life-C30 and reported continuity of care. Multivariable mixed-effects analysis was used to assess the association between HRQOL and health care-related factors. RESULTS: A total of 762 deceased patients were included with a mean age of 66 (SD, 10) years and 52% were male. The most common primary tumors were lung (29%), colorectal (20%), and breast cancer (13%). Mean overall HRQOL decreased in the last 9 months of life, with the greatest decrease in the last 3 months (ß -16.2). Fatigue, pain, appetite loss, dyspnea, constipation, and nausea worsened significantly in the last year of life. Multimorbidity (ß -7.5) and a better reported continuity of care (ß 0.7) were both significantly associated with the trajectory of HRQOL. CONCLUSION: Mean overall HRQOL begins to decline 9 months before death, highlighting the need for early identification and (re)assessment of different symptoms as aspects of HRQOL follow different trajectories. Multimorbidity and reported continuity of care may be associated with the trajectory of HRQOL.

Associations between treatments, comorbidities and multidimensional aspects of quality of life among patients with advanced cancer in the Netherlands-a 2017-2020 multicentre cross-sectional study.

OBJECTIVE: To investigate associations between quality of life (QoL) and 1) immunotherapy and other cancer treatments received three months before QoL measurements, and 2) the comorbidities at the time of completion or in the year prior to QoL measurements, among patients with advanced cancer. METHODS: A cross-sectional study is conducted on patients with advanced cancer in the Netherlands. The data come from the baseline wave of the 2017-2020 eQuiPe study. Participants were surveyed via questionnaires (including EORTC QLQ-C30). Using multivariable linear and logistic regression models, we explored statistical associations between QoL components and immunotherapy and other cancer treatments as well as pre-existing comorbidities while adjusting for age, sex, socio-economic status. RESULTS: Of 1088 participants with median age 67 years, 51% were men. Immunotherapy was not associated with global QoL but was associated with reduced appetite loss (odds ratio (OR) = 0.6, 95%CI = [0.3,0.9]). Reduced global QoL was associated with chemotherapy (adjusted mean difference (ß) = - 4.7, 95% CI [- 8.5,- 0.8]), back pain (ß = - 7.4, 95% CI [- 11.0,- 3.8]), depression (ß = - 13.8, 95% CI [- 21.5,- 6.2]), thyroid diseases (ß = - 8.9, 95% CI [- 14.0,- 3.8]) and diabetes (ß = - 4.5, 95% CI [- 8.9,- 0.5]). Chemotherapy was associated with lower physical (OR = 2.4, 95% CI [1.5,3.9]) and role (OR = 1.8, 95% CI [1.2,2.7]) functioning, and higher pain (OR = 1.9, 95% CI [1.3,2.9]) and fatigue (OR = 1.6, 95% CI [1.1,2.4]). CONCLUSION: Our study identified associations between specific cancer treatments, lower QoL and more symptoms. Monitoring symptoms may improve QoL of patients with advanced cancer. Producing more evidence from real life data would help physicians in better identifying patients who require additional supportive care.

[How long are medical oncology patients in The Netherlands willing to travel for their cancer care?] / Hoe lang zijn patiënten bereid te reizen voor medisch-oncologische zorg?

BACKGROUND: The number of people with cancer will increase in the Netherlands. Further concentration and network care is pursued. The aim of this study was to explore how long medical oncology patients are willing to travel for their cancer care. METHOD: A flashmob study into patients' willingness to travel for cancer care was conducted in 65 Dutch hospitals. Patients completed a questionnaire about willingness to travel and any experienced issues with traveling. RESULTS: A total of 4337 medical oncology patients completed the questionnaire. Of the patients, 20% were willing to travel more than 1 hour (one-way) for their current treatment, and more willing to travel for treatment in a hospital more experienced in their specific type of cancer (44% more than 1 hour). Willingness to travel longer was higher among patientsagedv40 years or younger, those with higher education, with better physical functioning and with a rare cancer. Willingness to travel longer was lowest among patients aged 75 or older. Approximately 30% of all patients experienced issues with traveling, especially those with comorbidities or with decreased physical functioning. CONCLUSION: In this flashmob study, 15% of patients were willing to travel up to 30 minutes (one-way) and 44% more than 1 hour for treatment and follow-up in a hospital more experienced in their specific type of cancer. Patients aged 75 years or older were less willing to travel longer. Thirty percent of patients experienced issues with travelling. It is important to take this into account in the future organization of cancer care.

Tracing the animal sources of surface water contamination with Campylobacter jejuni and Campylobacter coli.

Campylobacter jejuni and C. coli, the primary agents of human bacterial gastroenteritis worldwide, are widespread in surface water. Several animal sources contribute to surface water contamination with Campylobacter, but their relative contributions thus far remained unclear. Here, the prevalence, genotype diversity, and potential animal sources of C. jejuni and C. coli strains in surface water in the Netherlands were investigated. It was also assessed whether the contribution of the different animal sources varied according to surface water type (i.e. agricultural water, surface water at discharge points of wastewater treatment plants [WWTPs], and official recreational water), season, and local livestock (poultry, pig, ruminant) density. For each surface water type, 30 locations spread over six areas with either high or low density of poultry, ruminants, or pigs, were sampled once every season in 2018-2019. Campylobacter prevalence was highest in agricultural waters (77%), and in autumn and winter (74%), and lowest in recreational waters (46%) and in summer (54%). In total, 76 C. jejuni and 177 C. coli water isolates were whole-genome sequenced. Most C. coli water isolates (78.5%) belonged to hitherto unidentified clones when using the seven-locus sequence type (ST) scheme, while only 11.8% of the C. jejuni isolates had unidentified STs. The origin of these isolates, as defined by core-genome multi-locus sequence typing (cgMLST), was inferred by comparison with Campylobacter strain collections from meat-producing poultry, laying hens, adult cattle, veal calves, small ruminants, pigs, and wild birds. Water isolates were mainly attributed to wild birds (C. jejuni: 60.0%; C. coli: 93.7%) and meat-producing poultry (C. jejuni: 18.9%; C. coli: 5.6%). Wild bird contribution was high among isolates from recreational waters and WWTP discharge points, and in areas with low poultry (C. coli) or high ruminant (C. jejuni) densities. The contribution of meat-producing poultry was high in areas with high density of poultry, springtime, agricultural waters and WWTP discharge points. While wild birds and poultry were the main contributors to Campylobacter contamination in surface water, their contribution differed significantly by water type, season, and local poultry and ruminant densities.