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Objective: Early-stage glottic cancer (ESGC) is a malignancy of the head and neck. Besides disease control, preservation and improvement of voice quality are essential. To enable expectation management and well-informed decision-making, patients should be sufficiently counseled with individualized information on expected voice quality. This study aims to develop an individualized dynamic prediction model for patient-reported voice quality. This model should be able to provide individualized predictions at every time point from intake to the end of follow-up. Study Design: Longitudinal cohort study. Setting: Tertiary cancer center. Methods: Patients treated for ESGC were included in this study (N = 294). The Voice Handicap Index was obtained prospectively. The framework of mixed and joint models was used. The prognostic factors used are treatment, age, gender, comorbidity, performance score, smoking, T-stage, and involvement of the anterior commissure. The overall performance of these models was assessed during an internal cross-validation procedure and presentation of absolute errors using box plots. Results: The mean age in this cohort was 67 years and 81.3% are male. Patients were treated with transoral CO2 laser microsurgery (57.8%), single vocal cord irradiation up to (24.5), or local radiotherapy (17.5%). The mean follow-up was 43.4 months (SD 21.5). Including more measurements during prediction improves predictive performance. Including more clinical and demographic variables did not provide better predictions. Little differences in predictive performance between models were found. Conclusion: We developed a dynamic individualized prediction model for patient-reported voice quality. This model has the potential to empower patients and professionals in making well-informed decisions and enables tailor-made counseling.

Background: Patients with head and neck squamous cell carcinoma (HNSCC) enter the palliative phase when cure is no longer possible or when they refuse curative treatment. The mean survival is five months, with a range of days until years. Realistic prognostic counseling enables patients to make well-considered end-of-life choices. However, physicians tend to overestimate survival. The aim of this study was to develop a prognostic model that calculates the overall survival (OS) probability of palliative HNSCC patients. Methods: Patients diagnosed with incurable HNSCC or patients who refused curative treatment for HNSCC between January 1st 2006 and June 3rd 2019 were included (n = 659). Three patients were lost to follow-up. Patients were considered to have incurable HNSCC due to tumor factors (e.g. inoperability with no other curative treatment options, distant metastasis) or patient factors (e.g. the presence of severe comorbidity and/or poor performance status).Tumor and patients factors accounted for 574 patients. An additional 82 patients refused curative treatment and were also considered palliative. The effect of 17 candidate predictors was estimated in the univariable cox proportional hazard regression model. Using backwards selection with a cut-off P-value < 0.10 resulted in a final multivariable prediction model. The C-statistic was calculated to determine the discriminative performance of the model. The final model was internally validated using bootstrapping techniques. Results: A total of 647 patients (98.6%) died during follow-up. Median OS time was 15.0 weeks (95% CI: 13.5;16.6). Of the 17 candidate predictors, seven were included in the final model: the reason for entering the palliative phase, the number of previous HNSCC, cT, cN, cM, weight loss in the 6 months before diagnosis, and the WHO performance status. The internally validated C-statistic was 0.66 indicating moderate discriminative ability. The model showed some optimism, with a shrinka

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Objective: Informal caregivers of head and neck cancer (HNC) patients have a high caregiver burden and often face complex practical caregiving tasks. This may result in unmet supportive care needs, which can impact their quality of life (QoL) and cause psychological distress. In this study, we identify caregivers’ unmet needs during long-term follow-up and identify caregivers prone to unmet supportive care needs. Methods: Data were used from the multicenter prospective cohort study NETherlands QUality of life and Biomedical cohort studies In Cancer (NET-QUBIC). The unmet supportive care needs, psychological distress, caregiver burden, and QoL were measured for 234 informal caregivers and their related patients at baseline, 3, 6, 12, and 24 months after. Mixed effect models for repeated measurements were used. Results: At baseline, most caregivers (70.3%) reported at least one unmet supportive care need, with most of the identified needs in the “healthcare & illness” domain. During the follow-up period, caregivers’ unmet needs decreased significantly in all domains. Nevertheless, 2 years after treatment, 28.3% were still reporting at least one unmet need. Financial problems were increasingly associated with unmet needs over time. Furthermore, caring for a patient who themselves had many unmet needs, an advanced tumor stage, or severe comorbidity was associated with significantly more unmet needs in caregivers. Conclusions: The current study shows the strong likelihood of caregivers of HNC patients facing unmet supportive care needs and the interaction between the needs of patients and caregivers. It is important to optimally support informal caregivers by involving them from the start when counseling patients, by providing them with relevant and understandable information, and by referring vulnerable caregivers for (psychosocial) support.

OBJECTIVE: Patient-reported voice quality is an important outcome during counseling in early-stage glottic cancer. However, there is a paucity of adequate longitudinal studies concerning voice outcomes. This study aimed to investigate longitudinal trajectories for patient-reported voice quality and associated risk factors for treatment modalities such as transoral CO2 laser microsurgery, single vocal cord irradiation, and local radiotherapy.STUDY DESIGN: A longitudinal observational cohort study.SETTING: Tertiary cancer center.METHODS: Patients treated for Tcis-T1b, N0M0 glottic cancer were included in this study (N = 294). The Voice Handicap Index was obtained at baseline and during follow-up (N = 1944). Mixed-effects models were used for investigating the different trajectories for patient-reported voice quality.RESULTS: The mean follow-up duration was 43.4 (SD 21.5) months. Patients received transoral CO2 laser microsurgery (57.8%), single vocal cord irradiation (24.5%), or local radiotherapy (17.5%). A steeper improvement during the first year after treatment for single vocal cord irradiation (-15.7) and local radiotherapy (-12.4) was seen, compared with a more stable trajectory for laser surgery (-6.1). All treatment modalities showed equivalent outcomes during long-term follow-up. Associated risk factors for different longitudinal trajectories were age, tumor stage, and comorbidity.CONCLUSION: Longitudinal patient-reported voice quality after treatment for early-stage glottic cancer is heterogeneous and nonlinear. Most improvement is seen during the first year of follow-up and differs between treatment modalities. No clinically significant differences in long-term trajectories were found. Insight into longitudinal trajectories can enhance individual patient counseling and provide the foundation for an individualized dynamic prediction model.

Objective: In order to understand how informal caregivers of head and neck cancer (HNC) patients deal with the consequences of the disease, we investigated their self-efficacy and coping style in relation to symptoms of anxiety and depression (distress) and quality of life (QoL) over time. In addition, factors associated with self-efficacy and coping style were investigated. Methods: A total of 222 informal caregivers and their related HNC patients were prospectively followed as part from the multicenter cohort NETherlands QUality of life and Biomedical cohort studies In Cancer (NET-QUBIC). Self-efficacy and coping style were measured at baseline, and distress and QoL at baseline and 3, 6, 12, and 24 months after treatment. Results: Informal caregivers had a high level of self-efficacy comparable with patients. Caregivers used “seeking social support,” “passive reacting,” and “expression of emotions” more often than patients. Factors associated with self-efficacy and coping were higher age and lower education. Higher self-efficacy was related with better QoL and “active tackling” was associated with less depression symptoms. “Passive reacting” and “expression of emotions” were associated with higher psychological distress and reduced QoL. Conclusion: Among informal caregivers of HNC patients, higher self-efficacy and “active tackling” were associated with better functioning over time, while “passive reacting” and “expression of negative emotions” were associated with worse functioning. Awareness of the differences in self-efficacy skills and coping and their relationship with QoL and psychological distress will help clinicians to identify caregivers that may benefit from additional support that improve self-efficacy and “active tackling” and reduce negative coping styles.

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Background: Multidisciplinary decision-making in head and neck cancer care is complex and requires a tradeoff between prolonging survival and optimizing quality of life. To support prognostication and decision-making in head and neck cancer care, an individualized prognostic model for overall survival (OncologIQ) is available. Methods: By quantitative and qualitative research we have studied user value of OncologIQ and its impact on the decision-making process in a multidisciplinary consultation meeting. Results: Healthcare professionals experienced added value upon using prognostic estimates of survival from OncologIQ in half (47.5%) of the measurements. Significant impact on the decision making process was seen when OncologIQ was used for older patients, patients having a WHO performance score ≥ 2, or high tumor stage. Conclusions: The prognostic model OncologIQ enables patient-centered decision-making in a multidisciplinary consultation meeting and was mostly valued in complex patients.

(1) Background: The aim of this study was to investigate caregiver burden among informal caregivers of head and neck cancer patients, in relation to distress and quality of life (QoL), and the relationship between informal caregivers and patients. (2) Methods: Data of 234 dyads from the multicenter prospective cohort study Netherlands Quality of life and Biomedical Cohort studies in cancer was used. Caregiver burden, psychological distress, global QoL, physical and social functioning were measured from baseline until 24 months after treatment. (4) Conclusions: This prospective cohort study shows the high burden of caring for HNC patients, the impact of this burden and the interaction between caregiver and patient. We suggest that healthcare professionals include caregivers in counseling and support.