General Anxiety Disorder-7 Questionnaire as a marker of low socioeconomic status and inequity.

BACKGROUND: The General Anxiety Disorder-7 (GAD-7) questionnaire is a standard tool used for screening and follow-up of patients with Generalized Anxiety Disorder (GAD). Although it is generally accepted that anxiety correlates with clinical and psychosocial stressors, precise quantitative data is limited on the relations among GAD-7, traditional biomarkers, and other measures of health. Further research is needed about how GAD-7 relates to race, ethnicity, and socioeconomic status (SES) as an assembly. We determined how multiple demographic and socioeconomic data correlate with the participants' GAD-7 results when compared with laboratory, physical function, clinical, and other biological markers. METHODS: The Project Baseline Health Study (BHS) is a prospective cohort of adults representing several populations in the USA. We analyzed a deeply phenotyped group of 2502 participants from that study. Measures of interest included: clinical markers or history of medical diagnoses; physical function markers including gait, grip strength, balance time, daily steps, and echocardiographic parameters; psychometric measurements; activities of daily living; socioeconomic characteristics; and laboratory results. RESULTS: Higher GAD-7 scores were associated with female sex, younger age, and Hispanic ethnicity. Measures of low SES were also associated with higher scores, including unemployment, income ≤$25,000, and ≤12 years of education. After adjustment for 158 demographic, clinical, laboratory, and symptom characteristics, unemployment and overall higher SES risk scores were highly correlated with anxiety scores. Protective factors included Black race and older age. LIMITATIONS: Correlations identified in this cross-sectional study cannot be used to infer causal relationships; further, we were not able to account for possible use of anxiety treatments by study participants. CONCLUSIONS: These findings highlight the importance of understanding anxiety as a biopsychosocial entity. Clinicians and provider organizations need to consider both the physical manifestations of the disorder and their patients' social determinants of health when considering treatment pathways and designing interventions.

Incorporating patient-centered quality-of-life measures for outcome assessment after Chiari malformation type I decompression in a pediatric population: a pilot study.

OBJECTIVE: Optimal management of pediatric Chiari malformation type I (CM-I) is much debated, chiefly due to the lack of validated tools for outcome assessment, with very few tools incorporating patient-centered measures of health-related quality of life (HRQOL). Although posterior fossa decompression (PFD) benefits a subset of patients, prediction of its impact across patients is challenging. The primary aim of this study was to investigate the role of patient-centered HRQOL measures in the assessment and prediction of outcomes after PFD. METHODS: The authors collected HRQOL data from a cohort of 20 pediatric CM-I patients before and after PFD. The surveys included assessments of selected Patient-Reported Outcomes Measurement Information System (PROMIS) health domains and were used to generate the PROMIS preference (PROPr) score, which is a measure of HRQOL. PROMIS is a reliable standardized measure of HRQOL domains such as pain, fatigue, depression, and physical function, which are all relevant to CM-I. The authors then compared the PROPr scores with Chicago Chiari Outcome Scale (CCOS) scores derived from time-matched clinical documentation. Finally, the authors used the PROPr scores as an outcome measure to predict postsurgical HRQOL improvement at 1 year on the basis of patient demographic characteristics, comorbidities, and radiological and physical findings. The Wilcoxon signed-rank test, Mann-Whitney U-test, and Kendall's correlation were used for statistical analysis. RESULTS: Aggregate analysis revealed improvement of pain severity after PFD (p = 0.007) in anatomical patterns characteristic of CM-I. Most PROMIS domain scores trended toward improvement after surgery, with anxiety and pain interference reaching statistical significance (p < 0.002 and p < 0.03, respectively). PROPr scores also significantly improved after PFD (p < 0.008). Of the baseline patient characteristics, preexisting scoliosis was the most accurate negative predictor of HRQOL improvement after PFD (median -0.095 vs 0.106, p < 0.001). A correlation with modest magnitude (Kendall's tau range 0.19-0.47) was detected between the patient-centered measures and CCOS score. CONCLUSIONS: The authors observed moderate improvement of HRQOL, when measured using a modified panel of PROMIS question banks, in this pilot cohort of pediatric CM-I patients after PFD. Further investigations are necessary to validate this tool for children with CM-I and to determine whether these scores correlate with clinical and radiographic findings.

Importance of Social Determinants in Screening for Depression.

IMPORTANCE: The most common screening tool for depression is the Patient Health Questionnaire-9 (PHQ-9). Despite extensive research on the clinical and behavioral implications of the PHQ-9, data are limited on the relationship between PHQ-9 scores and social determinants of health and disease. OBJECTIVE: To assess the relationship between the PHQ-9 at intake and other measurements intended to assess social determinants of health. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional analyses of 2502 participants from the Baseline Health Study (BHS), a prospective cohort of adults selected to represent major demographic groups in the US; participants underwent deep phenotyping on demographic, socioeconomic, clinical, laboratory, functional, and imaging findings. INTERVENTIONS: None. MAIN OUTCOMES AND MEASURES: Cross-sectional measures of clinical and socioeconomic status (SES). RESULTS: In addition to a host of clinical and biological factors, higher PHQ-9 scores were associated with female sex, younger participants, people of color, and Hispanic ethnicity. Multiple measures of low SES, including less education, being unmarried, not currently working, and lack of insurance, were also associated with higher PHQ-9 scores across the entire spectrum of PHQ-9 scores. A summative score of SES, which was the 6th most predictive factor, was associated with higher PHQ-9 score after adjusting for 150 clinical, lab testing, and symptomatic characteristics. CONCLUSIONS AND RELEVANCE: Our findings underscore that depression should be considered a comorbidity when social determinants of health are addressed, and both elements should be considered when designing appropriate interventions.

Patient-Reported Out-of-Pocket Costs and Financial Toxicity During Early-Phase Oncology Clinical Trials.

BACKGROUND: Clinical trials are an important therapeutic option for patients with cancer. Although financial burden in cancer treatment is well documented, the financial burden associated with clinical trials is not well understood. PATIENTS AND METHODS: We conducted a survey regarding economic burden and financial toxicity in patients with cancer enrolled in phase I clinical trials for >1 month. Financial toxicity score was assessed using the Comprehensive Score for Financial Toxicity survey. Patients also reported monthly out-of-pocket (OOP) costs. RESULTS: Two hundred and thirteen patients completed the survey (72% non-Hispanic White; 45% with annual income ≤$60,000; 50% lived >300 miles from the clinic; 37% required air travel). Forty-eight percent of patients had monthly OOP costs of at least $1,000. Fifty-five percent and 64% of patients reported unanticipated medical and nonmedical expenses, respectively. Worse financial toxicity was associated with yearly household income <$60,000 (odds ratio [OR]: 2.7; p = .008), having unanticipated medical costs (OR: 3.2; p = .024), and living >100 miles away from the clinical trial hospital (OR: 2.3; p = .043). Non-White or Hispanic patients (OR: 2.5; p = .011) and patients who were unemployed or not working outside the home (OR: 2.5; p = .016) were more likely to report high unanticipated medical costs. CONCLUSION: Among patients with cancer participating in clinical trials, economic burden is high, and most of patients' OOP costs were nonmedical costs. Financial toxicity is disproportionally higher in patients with lower income and those who travel farther, and unexpected medical costs were more common among non-White or Hispanic patients. OOP costs can be substantial and are often unexpected for patients. IMPLICATIONS FOR PRACTICE: The financial burden of cancer treatment is well documented, but there are limited data regarding the financial burden associated with cancer clinical trials. This study surveyed 213 patients enrolled in early-phase clinical trials. Monthly out-of-pocket costs were at least $1000 for nearly half of patients. Worse financial toxicity was associated with income <$60,000 and living farther away from the hospital. Racial/ethnic minorities had higher rates of unanticipated medical costs. These data help to quantify the high financial burden for patients and may reveal a cause of disparities in clinical trial enrollment for underrepresented populations.

Assessment of Image-Guided Intratumoral Delivery of Immunotherapeutics in Patients With Cancer.

Importance: Direct intratumoral delivery of immunotherapies is a compelling approach to overcoming barriers to systemic immunotherapy efficacy. While the use of intratumoral delivery of immunotherapy drugs is increasing rapidly in both the investigational and standard of care domains, the feasibility and safety of these interventions, particularly for deeper lesions that require image-guidance, remain unknown. Objective: To address current knowledge gaps in image-guided techniques for intratumoral immunotherapy delivery and the safety of these interventions. Design, Setting, and Participants: This case series study was performed at a single tertiary cancer center over a 2-year period from January 2016 to January 2018. Patients were followed until January 2019. All patients who underwent image-guided intratumoral delivery of immunotherapy agents in the standard of care, off-label, or investigational setting during the study period were included. Data were analyzed from February 1 to June 1, 2019. Exposures: Image-guided biopsies and intratumoral injections of immunotherapies across several clinical trials as well as standard of care talimogene laherparepvec therapy. Main Outcomes and Measures: Technical success, defined as the delivery of the prescribed injectate volume in its entirety, for image-guided biopsy and injections and procedure-related adverse events. Results: A total of 85 patients (median [interquartile range] age, 61 [47-71] years; 42 [52%] men) underwent 498 encounters during the study period. These encounters comprised 327 image-guided intratumoral investigational agent injections in 67 patients in clinical trials, including 33 patients with melanoma (50%), 14 patients with sarcoma (21%), 3 patients with ovarian cancer (4.5%), 2 patients with breast cancer (3%), and 2 patients with colon cancer (3%). An additional 18 patients with melanoma underwent 113 image-guided talimogene laherparepvec injections. There were no adverse events reported related to the technical component of the procedure, specifically needle insertion or biopsy. Serious adverse events (Common Terminology Criteria for Adverse Events score ≥3), including dyspnea and severe flu-like symptoms developing within 24 hours of the injection and requiring hospitalization, occurred after 3 of 327 investigational agent injections (2%) and 4 of 113 talimogene laherparepvec injections (4%). Conclusions and Relevance: The findings of this case series study suggest that intratumoral injections of immunotherapies were feasible across a range of histological conditions and target organs. Immediate postdelivery anticipated adverse events occurred in a small number of instances. Performing physicians should have the necessary safeguards in place to respond as needed. Optimal methods for intratumoral drug delivery remain unresolved, and efforts to standardize drug delivery techniques are required.

Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual.

Purpose: Information on processes for trials assessing investigational therapeutics is sparse. We assessed the trial development processes within the Department of Investigational Cancer Therapeutics (ICT) at MD Anderson Cancer Center (Houston, TX) and analyzed their effects on the trial activation timeline and enrolment.Experimental Design: Data were from a prospectively maintained registry that tracks all clinical studies at MD Anderson. From this database, we identified 2,261 activated phase I-III trials; 221 were done at the ICT. ICT trials were matched to trials from other MD Anderson departments by phase, sponsorship, and submission year. Trial performance metrics were compared with paired Wilcoxon signed rank tests.Results: We identified three facets of the ICT research infrastructure: parallel processing of trial approval steps; a physician-led research team; and regular weekly meetings to foster research accountability. Separate analyses were conducted stratified by sponsorship [industry (133 ICT and 133 non-ICT trials) or institutional (68 ICT and 68 non-ICT trials)]. ICT trial development was faster from IRB approval to activation (median difference of 1.1 months for industry-sponsored trials vs. 2.3 months for institutional) and from activation to first enrolment (median difference of 0.3 months for industry vs. 1.2 months for institutional; all matched P < 0.05). ICT trials also accrued more patients (median difference of 8 participants for industry vs. 33.5 for institutional) quicker (median difference 4.8 participants/year for industry vs. 11.1 for institutional; all matched P < 0.05).Conclusions: Use of a clinical research-focused infrastructure within a large academic cancer center was associated with efficient trial development and participant accrual. Clin Cancer Res; 23(6); 1407-13. ©2016 AACR.

Validation of prognostic scoring and assessment of clinical benefit for patients with bone sarcomas enrolled in phase I clinical trials.

BACKGROUND: We sought to validate the Royal Marsden Hospital (RMH) and MD Anderson Cancer Center (MDACC) prognostic scoring systems for the selection of bone sarcoma patients for phase I clinical trials and to identify additional risk factors related to survival. PATIENTS AND METHODS: We retrospectively reviewed the baseline characteristics and outcomes of 92 bone sarcoma patients who were referred to MDACC's Phase I Clinical Trials Program. RESULTS: Ninety-two patients with Ewing sarcoma (N = 47), osteosarcoma (N = 22), chondrosarcoma (N = 16), and other tumors (N = 7) were evaluated; 78 were enrolled in at least 1 of 43 different phase I trials. The median overall survival (OS) was 8.8 months (95% confidence interval [CI] = 6.8-13.7 months). Independent factors that predicted shorter survival were male sex, >2 metastatic sites, >3 previous therapies, hemoglobin level <10.5 g/dL, platelet count >200 x103/L, creatinine level ≥1.3 mg/dL, and lactate dehydrogenase level >ULN. Patients with good RMH scores (0-1) had longer OS than patients with poor RMH scores (2-3) (HR = 5.8, 95% CI = 2.9-11.0; P < 0.0001), as did patients with low MDACC scores (0-1) as compared to patients with higher MDACC scores (2-4) (HR = 3.2, 95% CI = 1.9-5.6; P < 0.0001). CONCLUSION: The RMH prognostic score can be used to predict the OS of bone cancer patients referred for phase I trials. The MDACC score added no value to the RMH score and therefore does not have a role in assessment of patients with bone tumors. Patients with advanced bone sarcomas should be considered for phase I trials.

An appraisal of drug development timelines in the Era of precision oncology.

The effects of incorporating a biomarker-based (personalized or precision) selection strategy on drug development timelines for new oncology drugs merit investigation. Here we accessed documents from the Food and Drug Administration (FDA) database for anticancer agents approved between 09/1998 and 07/2014 to compare drugs developed with and without a personalized strategy. Sixty-three drugs were included (28 [44%] personalized and 35 [56%] non-personalized). No differences in access to FDA-expedited programs were observed between personalized and non-personalized drugs. A personalized approach for drug development was associated with faster clinical development (Investigational New Drug [IND] to New Drug Application [NDA] submission; median = 58.8 months [95% CI 53.8-81.8] vs. 93.5 months [95% CI 73.9-112.9], P =.001), but a similar approval time (NDA submission to approval; median=6.0 months [95% CI 5.5-8.4] vs. 6.1 months [95% CI 5.9-8.3], P = .756) compared to a non-personalized strategy. In the multivariate model, class of drug stratified by personalized status (targeted personalized vs. targeted non-personalized vs. cytotoxic) was the only independent factor associated with faster total time of clinical drug development (clinical plus approval phase, median = 64.6 vs 87.1 vs. 112.7 months [cytotoxic], P = .038). Response rates (RR) in early trials were positively correlated with RR in registration trials (r = 0.63, P = <.001), and inversely associated with total time of drug development (r = -0.29, P = .049). In conclusion, targeted agents were developed faster than cytotoxic agents. Shorter times to approval were associated, in multivariate analysis, with a biomarker-based clinical development strategy.