Sloan, Jeff A.

An effort over 3 years to conduct a data pooling project regarding the association between smoking and lung cancer treatment outcomes has shown that, of 32 completed studies of lung cancer treatments in 1 National Cancer Institute Cooperative Group, only a minority have usable data concerning smoking‐related variables. Clinical trials research is needed to inform patients with cancer and their physicians about the impact of smoking, and how smoking cessation may affect the course of their disease.

Objectives Socioeconomic status (SES) is a well-established risk factor for many health outcomes. Recently, we developed an SES measure based on 4 housing-related characteristics (termed HOUSES) and demonstrated its ability to assess health disparities. In this study, we aimed to evaluate whether fewer housing-related characteristics could be used to provide a similar representation of SES. Study setting and participants We performed a cross-sectional study using parents/guardians of children aged 1–17 years from 2 US Midwestern counties (n=728 in Olmsted County, Minnesota, and n=701 in Jackson County, Missouri). Primary and secondary outcome measures For each participant, housing-related characteristics used in the formulation of HOUSES (assessed housing value, square footage, number of bedrooms and number of bathrooms) were obtained from the local government assessor's offices, and additional SES measures and health outcomes with known associations to SES (obesity, low birth weight and smoking exposure) were collected from a telephone survey. Housing characteristics with the greatest contribution for predicting the health outcomes were added to formulate a modified HOUSES index. Results Among the 4 housing characteristics used in the original HOUSES, the strongest contributions for predicting health outcomes were observed from assessed housing value and square footage (combined contribution ranged between 89% and 96%). Based on this observation, these 2 were used to calculate a modified HOUSES index. Correlation between modified HOUSES and other SES measures was comparable to the original HOUSES for both locations. Consistent with the original HOUSES formula, the strongest association with modified HOUSES was observed with smoking exposure (OR=0.24 with 95% CI 0.11 to 0.49 for comparing participants in highest HOUSES vs lowest group; overall p<0.001). Conclusions The modified HOUSES requires only 2 readily available housing characteristics thereby improving the feasibility of using this index as a proxy for SES in multiple communities, especially in the US Midwestern region.

Background/Aims: The use of patient-reported outcomes in clinical trials is a focal point for research and policy. Non-compliance with planned questionnaires and missing data can threaten both internal validity and generalizability. This retrospective analysis was conducted to determine the extent of, and characteristics associated with, missing patient-reported outcomes. Methods: Study characteristics, patient characteristics and adverse events, and reasons for non-compliance were compiled from 14 closed Alliance for Clinical Trials in Oncology, Mayo Clinic Cancer Center, or Mayo Clinic Cancer Research Consortium clinical trials. Compliance rates were calculated for each patient using the number of booklets completed while the patient was on trial divided by the number of booklets the patient was expected to complete. Frequency counts and summary statistics were compiled. Logistic regression techniques were employed. Results: The 1640 included patients had a median age of 58 years and were mostly White (90.8%) and female (73.8%). Compliance rates per study ranged from 84.7% to 97.2%. The primary endpoint of overall compliance rate was 93.1%. A total of 1267 patients were compliant. Those non-compliant were slightly older (mean = 58.6 vs 57.5, p = 0.03) and had different types of cancers (p < 0.01). There were no differences in compliance according to tumor status (p = 0.66), clinical stage (p = 0.81), baseline quality of life (p = 0.42 for ≥8 vs <8 and p = 0.12 for ≥6 vs <6), or maximum adverse event grade incidence (p = 0.33 for grade 2+ incidence and p = 0.36 for grade 3+ incidence). Reasons for non-compliance included patient refusal (N = 136), booklet not administered to patient (N = 199), no clinic visit at the scheduled time for booklet completion (N = 40), and at-home-completed booklet not returned (N = 224). Logistic regression indicates gender (p < 0.01), race (p < 0.01), performance score (p = 0.02), dose delay status (p = 0.01), and incidence of grade 3 or higher adverse event (p = 0.03) were correlates of compliance. Conclusion: Patient-reported outcomes have successfully been implemented into Alliance and Mayo Clinic trials with high rates of patient compliance. Further improvement in compliance can be made with staff commitment and education. Patients are typically non-compliant only when the task at hand is burdensome, unclear, or logistically challenging. Existing tracking systems used for the other trial outcomes should be utilized to ensure successful capture of patient-reported outcomes.

Introduction Acute respiratory failure (ARF) often presents and progresses outside of the intensive care unit. However, recognition and treatment of acute critical illness is often delayed with inconsistent adherence to evidence-based care known to decrease the duration of mechanical ventilation (MV) and complications of critical illness. The goal of this trial is to determine whether the implementation of an electronic medical record-based early alert for progressive respiratory failure coupled with a checklist to promote early compliance to best practice in respiratory failure can improve the outcomes of patients at risk for prolonged respiratory failure and death. Methods and analysis A pragmatic stepped-wedged cluster clinical trial involving 6 hospitals is planned. The study will include adult hospitalised patients identified as high risk for MV >48 hours or death because they were mechanically ventilated outside of the operating room or they were identified as high risk for ARF on the Accurate Prediction of PROlonged VEntilation (APPROVE) score. Patients with advanced directives limiting intubation will be excluded. The intervention will consist of (1) automated identification and notification of clinician of high-risk patients by APPROVE or by invasive MV and (2) checklist of evidence-based practices in ARF (Prevention of Organ Failure Checklist—PROOFCheck). APPROVE and PROOFCheck will be developed in the pretrial period. Primary outcome is hospital mortality. Secondary outcomes include length of stay, ventilator and organ failure-free days and 6-month and 12-month mortality. Predefined subgroup analysis of patients with limitation of aggressive care after study entry is planned. Generalised estimating equations will be used to compare patients in the intervention phase with the control phase, adjusting for clustering within hospitals and time. Ethics and dissemination The study was approved by the institutional review boards. Results will be published in peer-reviewed journals and presented at international meetings. Trial registration number NCT02488174.

Treatment of polycystic liver disease (PLD) focuses on symptom improvement. Generic questionnaires lack sensitivity to capture PLD‐related symptoms, a prerequisite to determine effectiveness of therapy. We developed and validated a disease‐specific questionnaire that assesses symptoms in PLD (PLD‐Q). We identified 16 PLD‐related symptoms (total score 0‐100 points) by literature review and interviews with patients and clinicians. The developed PLD‐Q was validated in Dutch (n = 200) and United States (US; n = 203) PLD patients. We assessed the correlation of PLD‐Q total score with European Organization for Research and Treatment of Cancer (EORTC) symptom scale, global health visual analogue scale (VAS) of EQ‐5D, and liver volume. To test discriminative validity, we compared PLD‐Q total scores of patients with different PLD severity stages (Gigot classification) and PLD‐Q total scores of PLD patients with general controls and polycystic kidney disease patients without PLD. Reproducibility was tested by comparing original test scores with 2‐week retest scores. In total, 167 Dutch and 124 US patients returned the questionnaire. Correlation between PLD‐Q total score and EORTC symptom scale (The Netherlands [NL], r = 0.788; US, r = 0.811) and global health VAS (NL, r = −0.517; US, r = −0.593) was good. There was no correlation of PLD‐Q total score with liver volume (NL, r = 0.138; P = 0.236; US, r = 0.254; P = 0.052). Gigot type III individuals scored numerically higher than type II patients (NL, 46 vs. 40; P = 0.089; US, 48 vs. 36; P = 0.055). PLD patients scored higher on the PLD‐Q total score than general controls (NL, 42 vs. 17; US, 40 vs. 13 points) and polycystic kidney disease patients without PLD (22 points). Reproducibility of PLD‐Q was excellent (NL, r = 0.94; US, 0.96). Conclusion: PLD‐Q is a valid, reproducible, and sensitive disease‐specific questionnaire that can be used to assess PLD‐related symptoms in clinical care and future research. (Hepatology 2016;64:151–160)

AbstractPaclitaxel‐induced peripheral neuropathy (PIPN) cannot be predicted from clinical parameters and might have a pharmacogenomic basis. Previous studies identified single nucleotide variants (SNV) associated with PIPN. However, only a subset of findings has been confirmed to date in more than one study, suggesting a need for further re‐testing and validation in additional clinical cohorts. Candidate PIPN‐associated SNVs were identified from the literature. SNVs were retested in 119 patients selected by extreme phenotyping from 269 in NCCTG N08C1 (Alliance) as previously reported. SNV genotyping was performed by a combination of short‐read sequencing analysis and Taqman PCR. These 22 candidate PIPN SNVs were genotyped. Two of these, rs7349683 in the EPHA5 and rs3213619 in ABCB1 were found to be significantly associated with PIPN with an Odds ratios OR = 2.07 (P = 0.02) and OR = 0.12 (P = 0.03), respectively. In addition, three SNVs showed a trend toward a risk‐ or protective effect that was consistent with previous reports. The rs10509681 and rs11572080 in the gene CYP2C8*3 showed risk effect with an OR = 1.49 and rs1056836 in CYP1B1 showed a protective effect with an OR = 0.66. None of the other results supported the previously reported associations, including some SNVs displaying an opposite direction of effect from previous reports, including rs1058930 in CYP2C8, rs17222723 and rs8187710 in ABCC2, rs10771973 in FGD4, rs16916932 in CACNB2 and rs16948748 in PITPNA. Alliance N08C1 validated or supported a minority of previously reported SNV‐PIPN associations. Associations previously reported by multiple studies appeared to have a higher likelihood to be validated by Alliance N08C1.

Purpose There is growing interest to enhance symptom monitoring during routine cancer care using patient-reported outcomes, but evidence of impact on clinical outcomes is limited. Methods We randomly assigned patients receiving routine outpatient chemotherapy for advanced solid tumors at Memorial Sloan Kettering Cancer Center to report 12 common symptoms via tablet computers or to receive usual care consisting of symptom monitoring at the discretion of clinicians. Those with home computers received weekly e-mail prompts to report between visits. Treating physicians received symptom printouts at visits, and nurses received e-mail alerts when participants reported severe or worsening symptoms. The primary outcome was change in health-related quality of life (HRQL) at 6 months compared with baseline, measured by the EuroQol EQ-5D Index. Secondary endpoints included emergency room (ER) visits, hospitalizations, and survival. Results Among 766 patients allocated, HRQL improved among more participants in the intervention group than usual care (34% v 18%) and worsened among fewer (38% v 53%; P < .001). Overall, mean HRQL declined by less in the intervention group than usual care (1.4- v 7.1-point drop; P < .001). Patients receiving intervention were less frequently admitted to the ER (34% v 41%; P = .02) or hospitalized (45% v 49%; P = .08) and remained on chemotherapy longer (mean, 8.2 v 6.3 months; P = .002). Although 75% of the intervention group was alive at 1 year, 69% with usual care survived the year (P = .05), with differences also seen in quality-adjusted survival (mean of 8.7 v. 8.0 months; P = .004). Benefits were greater for participants lacking prior computer experience. Most patients receiving intervention (63%) reported severe symptoms during the study. Nurses frequently initiated clinical actions in response to e-mail alerts. Conclusion Clinical benefits were associated with symptom self-reporting during cancer care.

Patients with lung cancer report more disease burden and lower spiritual well-being (SWB) compared with other cancer patients. Understanding variables that lessen disease burden and improve SWB is essential. The aim of this study was to explore the relationship between motivational level for physical activity and SWB in patients with lung cancer. Linear regression showed increased SWB as stage of change for physical activity increased (p < 0.0001), even after adjusting for multiple demographic variables.

AbstractObjectivesCaregiving can negatively impact well‐being. Cancer caregivers face unique challenges given the intense nature of cancer and treatment, which increases their risk for burden, poor quality of life (QOL), and burnout. Studies to reduce caregiver burden demonstrate QOL improvement and distress reduction in the short term. However, few studies exist to address long‐term benefits. We assessed changes in various QOL domains after participation in a QOL intervention for caregivers of patients having newly diagnosed advanced cancer.MethodsOur institutional review board‐approved study randomized patient–caregiver dyads to either usual care or an in‐person group intervention composed of six 90‐min sessions of structured multidisciplinary QOL components delivered over 4 weeks, with 10 follow‐up phone calls within 20 weeks. Caregivers attended four of the six sessions attended by patients. Sessions included physical therapy, coping and communication strategies, mental health education, spirituality, and social needs. Caregiver QOL (Caregiver Quality of Life Index‐Cancer Scale [CQOLC] and Linear Analogue Self‐Assessment [LASA]) and mood (Profile of Mood States‐Brief [POMS‐B]) were measured at baseline and 4, 27, and 52 weeks. Wilcoxon tests and effect sizes were used to compare the caregiver groups.ResultsOf the 131 caregivers (65 intervention and 66 usual care), 116 completed the study. Caregivers post‐intervention (at 4 weeks) had improved scores on LASA Spiritual Well‐being; POMS‐B total score, Vigor/Activity, and Fatigue/Inertia; and CQOLC Adaptation. At long term (at 27 weeks), caregivers retained improvement in POMS‐B Fatigue/Inertia and gained improvements in CQOLC Disruptiveness and Financial Concerns.ConclusionsCaregivers who received the intervention had higher QOL ratings for specific QOL domains but not for overall QOL. Although a comprehensive intervention was helpful, more specific, targeted interventions tailored for individual needs are recommended. Copyright © 2015 John Wiley & Sons, Ltd.