Impact of two different dose-intensity chemotherapy regimens on psychological distress in early breast cancer patients.

In order to improve outcome, new, often more toxic chemotherapy regimens are continuously investigated in early breast cancer patients. Because the expected survival improvement is small, the possible increase in the negative effects of the new treatments should be carefully evaluated. Negative effects are represented not only by acute and chronic toxicity, but also by the adverse psychological impact of chemotherapy. The aim of this study was to evaluate the effect on patient-reported psychological distress of an increase in the dose-intensity of adjuvant chemotherapy compared with a standard regimen. Psychological distress was evaluated at baseline, during chemotherapy and after 6 and 12 months in breast cancer patients enrolled in a phase III multicentre study comparing the standard adjuvant chemotherapy with cyclophosphamide, epirubicin and 5-fluorouracil every 21 days (CEF21) with the same chemotherapy given every 14 days (CEF14). 392 patients were randomised in participating centres, and 363 were evaluable for this study. Overall, 1095 out of 1446 expected questionnaires (75.7%) were collected and evaluable. At baseline, the mean scores of psychological distress were similar in the two arms. During chemotherapy, a significantly higher psychological distress was observed in the CEF14 compared with the CEF21 arm (32.3 +/- 1.3 versus 27.6 +/- 1.3; P=0.009), as well as a higher cumulative incidence of anaemia, mucositis, diarrhoea, alopecia, bone pain and fatigue was observed in the CEF14 arm. In multivariate analyses, mucositis (P=0.01), asthenia (P=0.059), and CEF14 treatment (P=0.054) were independently associated with a higher psychological distress. After 6 months, psychological distress was again similar in the two arms and significantly lower when compared with baseline within each arm. A dose-intensive adjuvant regimen induces a higher, although transient, psychological distress in early breast cancer patients. Final results of the randomised trial will indicate whether such higher adverse effects of the dose-intensive regimen are counterbalanced by a higher efficacy of the experimental treatment in terms of survival.

Predicting mood disorders in breast cancer patients.

Prediction of delayed psychiatric disorders in breast cancer patients by using a screening procedure was investigated. Two questionnaires, the Psychological Distress Inventory and the Hospital Anxiety and Depression Scale, were administered before and during chemotherapy, and at the first follow-up visit. A psychiatric diagnosis was assigned to 50 of the 132 patients (38%) evaluated at follow-up. Including a set of clinical and demographic variables in a logistic regression, increasing age (P=0.001) and psychiatric history (P<0.001) were associated with psychiatric morbidity at follow-up. The accuracy of the two questionnaires in predicting delayed psychiatric disorders increased from the evaluation before chemotherapy to the evaluation during chemotherapy. The most accurate prediction was observed for the concurrent evaluation at follow-up. The accuracy of three predictive models developed for each evaluation point by including age, psychiatric history and psychological distress measured with each of the two questionnaires was not significantly better than that observed using only the questionnaires' scores as predictors.

Psychological and symptom distress in terminal cancer patients with met and unmet needs.

This study identified the needs of terminal cancer patients, investigated the factors associated with unmet needs, and assessed psychological and symptom distress associated with unsolved needs. Ninety-four patients were randomly selected from 324 patients admitted for palliative care in 13 Italian centers. Two self-administered questionnaires (the Symptom Distress Scale and the Psychological Distress Inventory) were administered to all the patients. Patients needs were identified using a semi-structured interview, aimed at exploring five areas: physiological needs, safety needs, love and belonging needs, self-esteem needs, self-fulfillment needs. A content analysis of the answers defined 11 needs, and identified patients with unmet needs. The most frequent unmet needs were symptom control (62.8%), occupational functioning (62.1%), and emotional support (51.7%). The less frequently reported needs were those related to personal care (14.6%), financial support (14.1%), and emotional closeness (13.8%). Low functional state was significantly associated with a high proportion of patients with unmet needs of personal care, information, communication, occupational functioning, and emotional closeness. Patients with unmet needs showed significantly higher psychological and symptom distress for most needs. This study provides some suggestions about the concerns that should be carefully considered during the late stage of cancer.

Detecting psychological distress in cancer patients: validity of the Italian version of the Hospital Anxiety and Depression Scale.

The psychometric properties of the Italian version of the Hospital Anxiety and Depression Scale and its utility as a screening instrument for anxiety and depression in a non-psychiatric setting were evaluated. The questionnaire was administered twice to 197 breast cancer patients randomised in a phase III adjuvant clinical trial: before the start of chemotherapy and at the first follow-up visit. The presence of psychiatric disorders was evaluated at the follow-up visit using the Structured Clinical Interview for DSM-III-R in 132 patients. Factor analyses identified two strictly correlated factors. Crohnbach's alpha for the anxiety and depression scales ranged between 0.80 and 0.85. At follow-up, 50 patients (38%) were assigned a current DSM-III-R diagnosis, in most cases adjustment disorders (24%) or major depressive disorder (10%). Receiver operating characteristics (ROC) analysis was used to test the discriminant validity for both anxiety and depressive disorders. The comparison of the areas under the curve (AUC) between the two scales did not show any difference in identifying either anxiety (P = 0.855) or depressive disorders (P = 0.357). The 14-item total scale showed a high internal consistency (alpha = 0.89 and 0.88) and a high discriminating power for all the psychiatric disorders (AUC = 0.89; 95% CI = 0.83-0.94). The cut-off point that maximised sensitivity (84%) and specificity (79%) was 10. These results suggest that the total score is a valid measure of emotional distress, so that the Italian version of HADS can be used as a screening questionnaire for psychiatric disorders. The use of the two subscales as a 'case identifier' or as an outcome measure should be considered with caution.

Quality of life assessment and clinical decision-making.

Survival and quality of life are the two end-points of cancer treatment. Recommendations are available as to how quality of life should be assessed in clinical studies in order for quantitative scores to be provided for it, along with survival data. The two measurements can be combined, and their total should yield a definition of the state of the art in cancer treatment with respect to both the quantity and the quality of life. However, at the individual level, quality of life can be traded off against survival only by taking into account the patient's attitude toward risk. More importantly, the quality of health status may be valued in a completely different way from patient to patient. Thus, when a clinical choice is to be made from among different treatment options, the ethical principle of respect for the patient's autonomy would require that the patient be informed of their possible respective outcomes, and allowed to provide his/her own assessment of the quality of life associated with these outcomes. This might have consequences for quality of life assessment in clinical studies, which should not only quantify average scores for treatment comparisons, but also provide a 'health state description' with respect to the aftermath of each of the treatment options. These data could be formalized in the already proposed decision instruments incorporating clinical scenarios for patient information. In any case, this should allow individualized clinical decisions incorporating each patient's preferences for the quality of his/her expected life span. Providing average quality of life scores may be useful, indeed, for population-based health decisions, as are those on resource allocation and those on registration of new drugs.