Sleep Quality and Associated Factors Among Survivors of Breast Cancer: From Diagnosis to One Year Postdiagnosis.

OBJECTIVES: To examine sleep quality and self-reported causes of sleep disturbance among patients with breast cancer at diagnosis and one year later. SAMPLE & SETTING: 486 of 606 patients with histologically confirmed breast cancer completed a Pittsburgh Quality Sleep Index (PSQI) survey at the time of diagnosis and again one year later. METHODS & VARIABLES: In this secondary data analysis, descriptive statistics were computed for seven PSQI components and its global score. Wilcoxon signed-rank tests and McNemar's tests were used. Self-reported reasons for sleep disturbances were summarized. RESULTS: PSQI scores significantly increased from baseline (mean = 6.75) to one-year follow-up (mean= 7.12), indicating worsened sleep. Sleep disturbance and onset latency scores increased, whereas sleep efficiency decreased. The two most frequently reported reasons for sleep disturbance were waking up late in the night or early in the morning (more than 50%) and needing to use the bathroom (49%). Feeling too hot and experiencing pain three or more times per week were reported by participants at baseline and one year later. IMPLICATIONS FOR NURSING: Results can aid in monitoring patient response to treatment methods and formulating benchmarks to manage sleep problems.

Evaluating Social Determinants of Health Related to Cancer Survivorship and Quality of Care.

BACKGROUND: Social determinants of health posit that negative outcomes are influenced by individuals living in underserved and underresourced neighborhoods. OBJECTIVE: This study examines a cancer diagnosis, race/ethnicity, age, geographic location (residence), education, and social economic status factors at disease onset and treatment. METHODS: A multivariable PO regression analysis was run for quality of care at testing or diagnosis, and quality of care at treatment and the quality of received care compared with another person. RESULTS: Participants are representative of the Southern Community Cohort Study (SCCS) of adults diagnosed with breast (n = 263), prostate (n = 195), lung (n = 46), colorectal (n = 105), or other cancers (n = 526). This study includes cancer survivors who completed the SCCS Baseline and Cancer Navigation Surveys in urban (73.13%) and rural (26.87%) areas. White participants reported a higher quality of received care for testing or diagnosis and care for treatment compared with Black participants. Participants with high school or equivalent education (odds ratio, 1.662; 95% confidence interval, 1.172-2.356; P = .0044) or some college or junior college education (odds ratio, 1.970; 95% confidence interval, 1.348-2.879; P = .0005) were more likely to report a better level of quality of received care for treatment. CONCLUSIONS: The SCCS represents individuals who are historically underrepresented in cancer research. The results of this study will have broad implications across diverse communities to reduce disparities and inform models of care. IMPLICATIONS FOR PRACTICE: Nurses are positioned to evaluate the quality of population health and design and lead interventions that will benefit underserved and underresourced communities.

Predicting Hospice Transitions in Dementia Caregiving Dyads: An Exploratory Machine Learning Approach.

Background and Objectives: Hospice programs assist people with serious illness and their caregivers with aging in place, avoiding unnecessary hospitalizations, and remaining at home through the end-of-life. While evidence is emerging of the myriad of factors influencing end-of-life care transitions among persons living with dementia, current research is primarily cross- sectional and does not account for the effect that changes over time have on hospice care uptake, access, and equity within dyads. Research Design and Methods: Secondary data analysis linking the National Health and Aging Trends Study to the National Study of Caregiving investigating important social determinants of health and quality-of-life factors of persons living with dementia and their primary caregivers (n = 117) on hospice utilization over 3 years (2015-2018). We employ cutting-edge machine learning approaches (correlation matrix analysis, principal component analysis, random forest [RF], and information gain ratio [IGR]). Results: IGR indicators of hospice use include persons living with dementia having diabetes, a regular physician, a good memory rating, not relying on food stamps, not having chewing or swallowing problems, and whether health prevents them from enjoying life (accuracy = 0.685; sensitivity = 0.824; specificity = 0.537; area under the curve (AUC) = 0.743). RF indicates primary caregivers' age, and the person living with dementia's income, census division, number of days help provided by caregiver per month, and whether health prevents them from enjoying life predicts hospice use (accuracy = 0.624; sensitivity = 0.713; specificity = 0.557; AUC = 0.703). Discussion and Implications: Our exploratory models create a starting point for the future development of precision health approaches that may be integrated into learning health systems that prompt providers with actionable information about who may benefit from discussions around serious illness goals-for-care. Future work is necessary to investigate those not considered in this study-that is, persons living with dementia who do not use hospice care so additional insights can be gathered around barriers to care.

Implementation and maintenance of infant dietary diversity in Zimbabwe: contribution of food and water insecurity.

BACKGROUND: Inadequate food and water resources negatively affect child health and the efficiency of nutrition interventions. METHODS: We used data from the SHINE trial to investigate the associations of food insecurity (FI) and water insecurity (WI) on mothers' implementation and maintenance of minimum infant dietary diversity (MIDD). We conducted factor analysis to identify and score dimensions of FI (poor access, household shocks, low availability & quality), and WI (poor access, poor quality and low reliability). MIDD implementation (n = 636) was adequate if infants aged 12 months (M12) ate ≥ four food groups. MIDD maintenance (n = 624) was categorized into four mutually exclusive groups: A (unmet MIDD at both M12 and M18), B (unmet MIDD at M12 only), C (unmet MIDD at M18 only), and D (met MIDD at both M12 and M18). We used multivariable-adjusted binary logistic and multinomial regressions to determine likelihood of MIDD implementation, and of belonging to MIDD maintenance groups A-C (poor maintenance groups), compared to group D, respectively. RESULTS: Low food availability & quality were negatively associated with implementation (OR = 0.81; 0.69, 0.97), and maintenance (ORB = 1.29; 1.07, 1.56). Poor water quality was positively associated with implementation (OR = 1.25; 1.08, 1.44), but inconsistently associated with maintenance, with higher odds of infants being in group C (OR = 1.39; 1.08, 1.79), and lower odds of being in group B (OR = 0.80; 0.66, 0.96). CONCLUSION: Food security should be prioritized for adequate implementation and maintenance of infant diets during complementary feeding. The inconsistent findings with water quality indicate the need for further research on WI and infant feeding.

Dementia caregiver burdens predict overnight hospitalization and hospice utilization.

OBJECTIVES: To determine sociodemographics and caregiver burdens associated with overnight hospitalization, hospice utilization, and hospitalization frequency among persons with dementia (PWD). METHODS: Cross-sectional analysis of PWD (n = 899) of the National Health and Aging Trends Study linked to the National Study of Caregiving. Logistic and proportional odds regression determined the effects of caregiver burdens on overnight hospitalization, hospice use, and hospitalization frequency. Differences between PWD alive not-alive groups were compared on overnight hospitalization and frequency. RESULTS: Alive PWD (n = 804) were 2.36 times more likely to have an overnight hospital stay (p = 0.004) and 1.96 times more likely to have multiple hospitalizations when caregivers found it physically difficult to provide care (p = 0.011). Decedents aged 65-74 (n = 95) were 4.55 times more likely to experience overnight hospitalizations than 85+, hospitalizations were more frequent (odds ratio [OR] = 4.84), and there was a significant difference between PWD alive/not alive groups (p = 0.035). Decedents were 5.60 times more likely to experience an overnight hospitalization when their caregivers had financial difficulty, hospitalizations were more frequent when caregivers had too much to handle (OR = 8.44) and/or no time for themselves (OR = 10.67). When caregivers had no time for themselves, a significant difference between alive/not alive groups (p = 0.018) was detected in hospitalization frequency. PWD whose caregivers had emotional difficulty helping were 5.89 times more likely to utilize hospice than caregivers who did not report emotional difficulty. SIGNIFICANCE OF RESULTS: Care transitions among PWD at the end of life are impacted by the circumstances and experiences of their caregivers. Subjective caregiver burdens represent potentially modifiable risks for undesired care transitions and opportunities for promoting hospice use. Future work is warranted to identify and address these issues as they occur.

Semiparametric zero-inflated Bernoulli regression with applications.

When the observed proportion of zeros in a data set consisting of binary outcome data is larger than expected under a regular logistic regression model, it is frequently suggested to use a zero-inflated Bernoulli (ZIB) regression model. A spline-based ZIB regression model is proposed to describe the potentially nonlinear effect of a continuous covariate. A spline is used to approximate the unknown smooth function. Under the smoothness condition, the spline estimator of the unknown smooth function is uniformly consistent, and the regression parameter estimators are asymptotically normally distributed. We propose an easily implemented and consistent estimation method for the variances of the regression parameter estimators. Extensive simulations are conducted to investigate the finite-sample performance of the proposed method. A real-life data set is used to illustrate the practical use of the proposed methodology. The real-life data analysis indicates that the prediction performance of the proposed semiparametric ZIB regression model is better compared to the parametric ZIB regression model.

Instruments to measure e-cigarette related constructs: a systematic review.

BACKGROUND: Electronic cigarettes (e-cigarettes) are relatively new tobacco products that are attracting public attention due to their unique features, especially their many flavor options and their potential as an alternative to cigarettes. However, uncertainties remain regarding the determinants and consequences of e-cigarette use because current research on e-cigarettes is made more difficult due to the lack of psychometrically sound instruments that measure e-cigarette related constructs. This systematic review therefore seeks to identify the instruments in the field that are designed to assess various aspects of e-cigarette use or its related constructs and analyze the evidence presented regarding the psychometric properties of the identified instruments. METHODS: This systematic review utilized six search engines: PubMed, Medline, CINAHL, PsycINFO, Web of Science, and EMBASE, to identify articles published in the peer-reviewed journals from inception to February 2022 that contained development or validation processes for these instruments. RESULTS: Eighteen articles describing the development or validation of 22 unique instruments were identified. Beliefs, perceptions, motives, e-cigarette use, and dependence, were the most commonly assessed e-cigarette related constructs. The included studies reported either construct or criterion validity, with 14 studies reporting both. Most studies did not report the content validity; for reliability, most reported internal consistencies using Cronbach's alpha, with 15 instruments reporting Cronbach's alpha > 0.70 for the scale or its subscales. CONCLUSIONS: Twenty-two instruments with a reported development or validation process to measure e-cigarette related constructs are currently available for practitioners and researchers. This review provides a guide for practitioners and researchers seeking to identify the most appropriate existing instruments on e-cigarette use based on the constructs examined, target population, psychometric properties, and instrument length. The gaps identified in the existing e-cigarette related instruments indicate that future studies should seek to extend the validity of the instruments for diverse populations, including adolescents. Instruments that explore additional aspects of e-cigarette use and e-cigarette related constructs to help build a strong theoretical background and expand our current understanding of e-cigarette use and its related constructs, should also be developed.

Goodness-of-fit tests for a logistic regression model with missing covariates.

Model checking for logistic regression with covariates missing at random is considered. Based on the ideas of Copas (1989) and Osius and Rojek (1992) and studies of Homser et al. (1997), proposed are the two-type goodness-of-fit tests, Pearson chi-squared and unweighted residual sum-of-squares tests, in which their test statistics are centralized by subtracting their estimated mean to be mean-zero-form test statistics via the inverse probability weighting (IPW) and nonparametric multiple imputation (MI) methods to solve the missing value problem. The asymptotic properties of these test statistics are established under the null hypothesis and some regularity conditions. The test statistics conducted by using the IPW and MI estimators are asymptotically equivalent. Proposed are the IPW method and two bootstrap re-sampling approaches for estimation of the variances of the proposed test statistics to solve the issue of underestimating their variances by the MI method of Rubin (1987). Simulation studies are carried out to assess the finite-sample power performances of these proposed tests. Two real data examples are used to illustrate the applicability of the proposed tests.

2-Level Anterior Cervical Arthrodesis With Integrated Spacer and Plate vs Traditional Anterior Spacer and Plate System.

BACKGROUND: Anterior cervical discectomy and fusion (ACDF) is a common surgery to treat cervical degenerative disc disease. Use of an anterior spacer and plate system (ASPS) results in increased disc height, higher fusion rate, lower subsidence rate, and lower complication rate than a spacer alone.1,2 However, anterior cervical plating is associated with complications, such as dysphagia, plate-screw dislodgment, soft tissue injury, neural injury, and esophageal perforation.3-9 To potentially reduce these drawbacks, integrated spacer and plate (ISP) systems have gained popularity. METHODS: From November 2009 to October 2013, a total of 84 consecutive patients who underwent 2-level ACDF using ISP or ASPS were reviewed for clinical and radiographic outcomes. Patient-reported visual analog scale (VAS) and Neck Disability Index (NDI) scores, fusion rates, and hardware failure were determined at 1, 3, 6, 12, and 24 months after surgery. RESULTS: Forty-three patients received ISP and 41 patients received ASPS. There were no significant differences in patient demographics between the 2 groups. Perioperative characteristics were similar, except for operative time. Postoperatively, no significant differences in VAS or NDI scores or fusion status were found. At the proximal surgical level only, there was a trend toward an earlier observed radiographic fusion rate in ASPS vs ISP, but this finding was not statistically significant (P = 0.092). One case of long-term dysphagia was reported in each group. Neither group had implant failures up to 2 years. CONCLUSIONS: The ISP system for 2-level ACDF compared to traditional ASPS has comparable clinical and radiographic outcomes up to 2 years postoperatively. There may be a trend toward an earlier observed radiographic fusion in the ASPS group, but there was no difference in long-term dysphagia rate. CLINICAL RELAVANCE: Integrated spacer and traditional anterior spacer for 2-level ACDF has similar clinical and radiographical outcome.

An efficient penalized estimation approach for semiparametric linear transformation models with interval-censored data.

We consider efficient estimation of flexible transformation models with interval-censored data. To reduce the dimension of semiparametric models, the unknown monotone function is approximated via a monotone B-spline. A penalization technique is used to provide computationally efficient estimation of all parameters. To accomplish model fitting and inference, an easy to implement nested iterative expectation-maximization (EM) algorithm is developed for estimation, and a simple variance-covariance estimation approach is proposed which makes large-sample inference for the regression parameters possible. Theoretically, we show that the estimator of the unknown monotone increasing function achieves the optimal rate of convergence, and the estimators of the regression parameters are asymptotically normal and efficient under the appropriate selection of the order of the smoothing parameter and the knots of the spline space. The proposed penalized procedure is assessed through extensive numerical experiments and implemented in R package PenIC. The proposed methodology is further illustrated via a signal tandmobiel study.

Development of a Longitudinal Dataset of Persons With Dementia and Their Caregivers Through End-of-Life: A Statistical Analysis System Algorithm for Joining National Health and Aging Trends Study/National Study of Caregiving.

Background: Alzheimer's disease and related dementias (AD/ADRD) are terminal conditions impacting families and caregivers, particularly at end-of-life. Longitudinal, secondary data analyses present opportunities for insight into dementia caregiving and decision-making over time; however, joining complex datasets and preparing them for analysis poses many challenges. Objectives: To describe an approach to linking national survey data of older adults with their primary caregivers to build a prospective, longitudinal dataset, and to share the Statistical Analysis System (SAS) coding statement algorithms with other researchers. Methods: The National Health and Aging Trends Study (NHATS) and National Study of Caregiving (NSOC) are joined using a series of algorithms based on conceptual and operational definitions of dementia, primary caregivers, and the occurrence of death. A series of SAS algorithms resulting in the final longitudinal dataset was created. Results: NHATS/NSOC participants were linked using three preliminary data files (n = 12 427) and one final data join (n = 3305) over nine rounds of data collection. Presence of dementia was defined based on the indicator in the year preceding the last month-of-life (LML) interview. Primary caregivers were defined as the person providing the most frequent care over time. Additional flag variables (LML interview, dementia classification, and cohort (2011 vs 2015)) were created. The SAS algorithms are presented herein. Discussion: The SAS coding statement algorithms provide an opportunity to conduct longitudinal analysis of care for both members of the dyad in the context of dementia and end-of-life. Future research using the proposed dataset can further explore care and caregiving in these populations.

Growth and growth trajectory among infants in early life: contributions of food insecurity and water insecurity in rural Zimbabwe.

Introduction: Stunting or linear growth faltering, measured by length-for-age Z-score (LAZ), remains a significant public health challenge, particularly in rural low-income and middle-income countries. It is a marker of inadequate environments in which infants are born and raised. However, the contributions of household resource insecurities, such as food and water, to growth and growth trajectory are understudied. Methods: We used the cluster-randomised Sanitation Hygiene and Infant Nutrition Efficacy trial to determine the association of household-level food insecurity (FI) and water insecurity (WI) on LAZ and LAZ trajectory among infants during early life. Dimensions of FI (poor access, household shocks, low availability and quality) and WI (poor access, poor quality, low reliability) were assessed with the multidimensional household food insecurity and the multidimensional household water insecurity measures. Infant length was converted to LAZ based on the 2006 WHO Child Growth Standards. We report the FI and WI fixed effects from multivariable growth curve models with repeated measures of LAZ at 1, 3, 6, 12 and 18 months (M1-M18). Results: A total of 714 and 710 infants were included in our analyses of LAZ from M1 to M18 and M6 to M18, respectively. Mean LAZ values at each time indicated worsening linear growth. From M1 to M18, low food availability and quality was associated with lower LAZ (ß=-0.09; 95% -0.19 to -0.13). From M6 to M18, poor food access was associated with lower LAZ (ß=-0.11; 95% -0.20 to -0.03). None of the WI dimensions were associated with LAZ, nor with LAZ trajectory over time. Conclusion: FI, but not WI, was associated with poor linear growth among rural Zimbabwean infants. Specifically, low food availability and quality and poor food access was associated with lower LAZ. There is no evidence of an effect of FI or WI on LAZ trajectory.

COMFORT communication in the ICU: Pilot test of a nurse-led communication intervention for surrogates.

AIM: This study was designed to investigate the feasibility, acceptability, and preliminary efficacy of a nurse-led communication intervention among surrogates in the intensive care unit (ICU) guided by the COMFORT (Connect; Options; Making meaning; Family caregivers; Openings; Relating; Team) communication model. BACKGROUND: As frontline communicators, nurses experience communication difficulties with surrogates who face complex informational and emotional barriers when making decisions for critically ill patients in the ICU. However, research on effective nurse communication focusing on both curative and end-of-life (EOL) care is lacking in the literature. DESIGN: A single-centre two-group pretest-posttest quasi-experiment. METHOD: The total sample included 41 surrogates of adult ventilated patients. Twenty participants were allocated to the intervention group who received a daily 20-min telephone call with content based on the COMFORT communication model. Twenty-one participants comprised the control group who received usual care. Participants completed a questionnaire before and after the study measuring satisfaction, anxiety and depression, decisional conflict, and quality of communication. The Transparent Reporting of Evaluations with Nonrandomized Designs (TREND) checklist was followed for nonrandomised controlled trials. RESULT: The intervention was feasible, with 19 of 20 surrogates completing the follow-up surveys, and 48 telephone conversations completed (48% of the planned phone calls). Surrogates' satisfaction was higher in the intervention group than in the control group after adjusting for the selected covariates (25.43 and 24.15, respectively; p = .512). Preliminary efficacy outcomes favouring the intervention included quality of communication with healthcare providers, but not surrogates' perceived depression/anxiety and decisional conflicts. CONCLUSION: Implementation of the intervention is feasible, acceptable, and favourable among surrogates to improve quality of communication with healthcare providers in the ICU. Further research is needed to determine whether the intervention could be implemented by nurses to improve surrogates' outcomes in other ICUs.

Food Insecurity and Water Insecurity in Rural Zimbabwe: Development of Multidimensional Household Measures.

Background: With millions of people experiencing malnutrition and inadequate water access, FI and WI remain topics of vital importance to global health. Existing unidimensional FI and WI metrics do not all capture similar multidimensional aspects, thus restricting our ability to assess and address food- and water-related issues. Methods: Using the Sanitation, Hygiene and Infant Nutrition Efficacy (SHINE) trial data, our study conceptualizes household FI (N = 3551) and WI (N = 3311) separately in a way that captures their key dimensions. We developed measures of FI and WI for rural Zimbabwean households based on multiple correspondence analysis (MCA) for categorical data. Results: Three FI dimensions were retained: 'poor food access', 'household shocks' and 'low food quality and availability', as were three WI dimensions: 'poor water access', 'poor water quality', and 'low water reliability'. Internal validity of the multidimensional models was assessed using confirmatory factor analysis (CFA) with test samples at baseline and 18 months. The dimension scores were associated with a group of exogenous variables (SES, HIV-status, season, depression, perceived health, food aid, water collection), additionally indicating predictive, convergent and discriminant validities. Conclusions: FI and WI dimensions are sufficiently distinct to be characterized via separate indicators. These indicators are critical for identifying specific problematic insecurity aspects and for finding new targets to improve health and nutrition interventions.

Electronic health record alerts enhance mass screening for chronic hepatitis B.

To measure the effect of an electronic health record (EHR) alert on chronic hepatitis B (CHB) screening among at-risk Asian and Pacific Islanders (API). API patients who had not yet completed hepatitis B surface antigen (HBsAg) testing were identified by a novel EHR-based population health tool. At-risk API patients in Cohort 1 (primarily privately insured) and Cohort 2 (includes Medicare and/or Medicaid) were randomized to alert activation in their electronic medical charts or not. In total, 8299 API were found to be deficient in HBsAg completion at baseline within our health system. In Cohort 1, 1542 patients and 1568 patients were randomized to the alert and control respectively. In Cohort 2, 2599 patients and 2590 patients were randomized to the alert and control respectively. For both cohorts combined, 389 HBsAg tests were completed in the alert group compared to 177 HBsAg tests in the control group (p < 0.0001; OR = 2.3; 95% CI 1.94-2.80), but there was no increased detection of HBsAg positivity from the alert (15 versus 13 respectively, p = 0.09; OR = 0.5; 95% CI 0.24-1.09). Our results demonstrate that personalized, automated electronic alerts increase screening for CHB, but more comprehensive measures are needed to detect HBsAg positive patients.NIH Trial Registry Number: NCT04240678.

Racial disparities of Black Americans hospitalized for decompensated liver cirrhosis.

BACKGROUND: Racial disparities have been reported in liver transplantation and chronic hepatitis C treatment outcomes. Determining causes of these disparities is important given the racially diverse American population and the economic burden associated with chronic liver disease. METHODS: A retrospective study was performed among 463 patients diagnosed with cirrhosis admitted from (January 1, 2013 to January 1, 2018) to a tertiary care academic medical center. Patients were identified based on the International Classification of Diseases (ICD-10) for cirrhosis or its complications. Demographic information, laboratory data, medical comorbidities, insurance and adherence to cirrhosis quality care indicators were recorded to determine their relationship to readmission rates and other healthcare outcomes. RESULTS: A total of 463 individual patients with cirrhosis were identified including Whites (n = 241), Hispanics (n = 106), Blacks (n = 50), Asian and Pacific Islander Americans (API, n = 27) and Other (n = 39). A significantly higher proportion of Blacks had Medicaid insurance compared to Whites (40% versus 20%, p = 0.0002) and Blacks had lower median income than Whites ($45,710 versus $54,844, p = 0.01). All groups received high quality cirrhosis care. Regarding healthcare outcomes, Black patients had the highest mean total hospital admissions (6.1 ± 6.3, p = 0.01) and the highest mean number of 30-day re-admissions (2.1 ± 3.7, p = 0.05) compared to all other racial groups. Multivariable proportional odds regression analysis showed that race was a statistically significant predictor of 90-day readmission (p = 0.03). CONCLUSIONS: Black Americans hospitalized for complications of cirrhosis may experience significant disparities in healthcare outcomes compared to Whites despite high quality cirrhosis care. Socioeconomic factors may contribute to these disparities.

Radiotherapy is Associated With Improved Survival in Patients With Synovial Sarcoma Undergoing Surgery: A National Cancer Database Analysis.

BACKGROUND: Previous studies have demonstrated an association of perioperative radiotherapy (RT) with improved survival in patients with synovial sarcoma (SS) undergoing surgery, but the mechanism for this is unknown. In this study, we sought to further analyze this association using a hospital-based data set where data on chemotherapy administration and surgical margin status are available. METHODS: Using the National Cancer Database, we identified 1216 patients with SS (aged ≥18 y) from 2004-2012 undergoing surgery. Cox proportional hazards analysis was used to study the effect of clinicopathologic variables on overall survival (OS). RESULTS: Mean age at diagnosis was 41.5 y (range 18-90), and 71.3% of tumors were high grade; 22.9% underwent surgery alone, 59.6% received RT with surgery, 44.2% received chemotherapy with surgery, and 26.3% received trimodality therapy. Age, sex, grade, Charlson-Deyo score, and RT (hazard ratio, 0.676; 95% confidence interval, 0.519-0.880; P = 0.004) were associated with improved OS, whereas chemotherapy (hazard ratio, 1.20; 95% confidence interval, 0.899-1.60; P = 0.217) and surgical margin status were not. Trimodality therapy with surgery, RT, and chemotherapy was associated with improved OS when compared with therapy with surgery and chemotherapy alone. CONCLUSIONS: In patients with SS undergoing surgery, we observed a significant improved association of OS with the addition of RT when adjusting for comorbidity score, margin status, and receipt of chemotherapy. These data further support routine implementation of RT in the treatment of patients with SS, including those receiving aggressive multimodality and trimodality care.

Safety of light emitting diode-red light on human skin: Two randomized controlled trials.

Therapeutic applications of light emitting diode-red light (LED-RL) are expanding, yet data on its clinical effects are lacking. Our goal was to evaluate the safety of high fluence LED-RL (≥160 J/cm2 ). In two phase I, single-blind, dose escalation, randomized controlled trials, healthy subjects received LED-RL or mock irradiation to the forearm thrice weekly for 3 weeks at fluences of 160-640 J/cm2 for all skin types (STARS 1, n = 60) and at 480-640 J/cm2 for non-Hispanic Caucasians (STARS 2, n = 55). The primary outcome was the incidence of adverse events (AEs). The maximum tolerated dose was the highest fluence that did not elicit predefined AEs. Dose-limiting AEs, including blistering and prolonged erythema, occurred at 480 J/cm2 in STARS 1 (n = 1) and 640 J/cm2 in STARS 2 (n = 2). AEs of transient erythema and hyperpigmentation were mild. No serious AEs occurred. We determined that LED-RL is safe up to 320 J/cm2 for skin of color and 480 J/cm2 for non-Hispanic Caucasian individuals. LED-RL may exert differential cutaneous effects depending on race and ethnicity, with darker skin being more photosensitive. These findings may guide future studies to evaluate the efficacy of LED-RL for the treatment of various diseases.

Healthcare Disparities Identified Between Hmong and Other Asian Origin Groups Living with Chronic Hepatitis B Infection in Sacramento County 2014-2017.

Chronic hepatitis B (CHB) disproportionately affects non-US born Asians. The Hmong have been shown to have the highest rates of CHB and mortality from liver cancer compared to other Asian groups. From September 2014 to September 2017, testing for CHB within Sacramento County was conducted through community-based testing events and an electronic health record alert that identified Asian patients by surname. Demographic and laboratory data were collected for analysis and patients were followed through the study period to assess linkage to care and treatment to compare differences between Asian origin groups. Of 4350 patients tested for CHB, 318 (7.3%) were HBsAg positive, including 90 Chinese, 47 Hmong, and 101 Vietnamese. Hmong were more likely to have Medicaid insurance compared to other Asian origin groups (15%, p < 0.001). Hmong had significantly lower rates of hepatitis B DNA testing (p < 0.001), referral to hepatology (p < 0.001), attendance of first (p < 0.001) and second medical visit (p = 0.0003), and lower rates of antiviral treatment compared to other Asian origin groups. Hmong also had the highest proportion of non-English speakers (p < 0.001). Hmong patients in the Sacramento CHB testing and linkage to care program experience socioeconomic disadvantages compared to Vietnamese and Chinese patients. These factors may contribute to decreased linkage of care and decreased anti-viral treatment rates for CHB.