Anxiety and depression in patients with non-site-specific cancer symptoms: data from a rapid diagnostic clinic.

Background: Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression. Methods: Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables. Results: A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.36-2.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%). Conclusion: High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations.

The Association of Resilience with Psychosocial Outcomes in Teenagers and Young Adults with Cancer.

Purpose: There is limited research on the psychological impact of cancer for teenagers and young adults (TYAs) and the role of protective factors such as resilience. This study investigated associations between resilience and psychosocial outcomes in this group. Methods: Data were collected from TYAs (aged 16-24) who attended the TYA cancer clinic at Guy's Hospital between 2013 and 2021. Participants (N = 63) completed psychosocial questionnaires within 4 weeks of their treatment start date (T1) and again between 9 and 15 months later (T2). We used separate multivariable linear regression models to analyze associations of resilience (Brief Resilience Questionnaire) with outcomes measured at T2, including symptoms of depression (Patient Health Questionnaire [PHQ]-9), anxiety (Generalized Anxiety Disorder [GAD]-7), and subjective quality of life. Models were adjusted for age, gender, ethnicity, and T1 outcome assessments. Results: Higher resilience at T1 was associated with increased anxiety (ß = 1.68; bootstrapped confidence interval [95% CI -0.28 to 3.19]), depression (ß = 1.24; [-0.85 to 2.90]), and quality of life (5.76; [-0.88 to 15.60]). In contrast, an increase in resilience over time was associated with decreases in the same period in anxiety (ß = -3.16; [-5.22 to -1.47]) and depression (ß = -2.36, [-4.41 to -0.58]), and an increase in quality of life (ß = 9.82, [-0.24 to 21.13]). Conclusion: Increases in resilience during cancer treatment were associated with reduced symptoms of depression and anxiety in TYAs. We discuss factors likely to influence these outcomes, the implications for psychosocial interventions in this population, and identify further research to explore the impact of other factors such as diagnosis and treatment type.

Multilevel Surgery for Children With Cerebral Palsy: A Meta-analysis.

CONTEXT: Multilevel surgery (MLS) is standard care for reducing musculoskeletal disorders among children with spastic cerebral palsy (CP). OBJECTIVE: To summarize the literature examining effects of MLS and satisfaction with MLS for children with CP. DATA SOURCES: Medline, Embase, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials were searched. STUDY SELECTION: Studies in which authors reported effects of or satisfaction with MLS in children with CP were selected. DATA EXTRACTION: Two authors screened and extracted data on gross motor function, gait speed, gait (eg, Gait Profile Score), range of motion, strength, spasticity, participation, quality of life, satisfaction, and adverse events. RESULTS: Seventy-four studies (3551 participants) were identified. One was a randomized controlled trial (RCT) (n = 19); the remainder were cohort studies. Pooled analysis of cohort studies revealed that MLS did not have a long-term effect on gross motor function (standardized mean difference [SMD]: 0.38; 95% confidence interval [CI]: -0.25 to 1.01) or gait speed (SMD: 0.12; 95% CI: -0.01 to 0.25) but did improve gait (SMD: -0.80; 95% CI: -0.95 to -0.65). The RCT also revealed no effect of MLS on gross motor function but improvements in the Gait Profile Score at 1 year. Participation and quality of life were reported in only 5 studies, and adverse events were adequately reported in 17 studies. LIMITATIONS: Data were largely from cohort studies. CONCLUSIONS: Findings reveal that gait, but not gross motor function, improves after MLS. RCTs and improved reporting of studies of MLS are required.