Duke Activity Status Index and Liver Frailty Index predict mortality in ambulatory patients with advanced chronic liver disease: A prospective, observational study.

BACKGROUND: There remains a lack of consensus on how to assess functional exercise capacity and physical frailty in patients with advanced chronic liver disease (CLD) being assessed for liver transplantation (LT). Aim To investigate prospectively the utility of the Duke Activity Status Index (DASI) and Liver Frailty Index (LFI) in ambulatory patients with CLD. AIM: To investigate prospectively the utility of the Duke Activity Status Index (DASI) and Liver Frailty Index (LFI) in ambulatory patients with CLD. METHODS: We recruited patients from outpatient clinics at University Hospitals Birmingham, UK (2018-2019). We prospectively collated the DASI and LFI to identify the prevalence of, respectively, functional capacity and physical frailty, and to evaluate their accuracy in predicting overall and pre-LT mortality. RESULTS: We studied 307 patients (57% male; median age 54 years; UKELD 52). Median DASI score was 28.7 (IQR 16.2-50.2), mean LFI was 3.82 (SD = 0.72), and 81% were defined either 'pre-frail' or 'frail'. Female sex and hyponatraemia were significant independent predictors of both DASI and LFI. Age and encephalopathy were significant independent predictors of LFI, while BMI significantly predicted DASI. DASI and LFI were significantly related to overall (HR 0.97, p = 0.001 [DASI], HR 2.04, p = 0.001 [LFI]) and pre-LT mortality (HR 0.96, p = 0.02 [DASI], HR 1.94, p = 0.04 [LFI]). CONCLUSIONS: Poor functional exercise capacity and physical frailty are highly prevalent among ambulatory patients with CLD who are being assessed for LT. The DASI and LFI are simple, low-cost tools that predict overall and pre-LT mortality. Implementation of both should be considered in all outpatients with CLD to highlight those who may benefit from targeted nutritional and exercise interventions.

Development and quality appraisal of a new English breast screening linked data set as part of the age, test threshold, and frequency of mammography screening (ATHENA-M) study.

OBJECTIVES: To build a data set capturing the whole breast cancer screening journey from individual breast cancer screening records to outcomes and assess data quality. METHODS: Routine screening records (invitation, attendance, test results) from all 79 English NHS breast screening centres between January 1, 1988 and March 31, 2018 were linked to cancer registry (cancer characteristics and treatment) and national mortality data. Data quality was assessed using comparability, validity, timeliness, and completeness. RESULTS: Screening records were extracted from 76/79 English breast screening centres, 3/79 were not possible due to software issues. Data linkage was successful from 1997 after introduction of a universal identifier for women (NHS number). Prior to 1997 outcome data are incomplete due to linkage issues, reducing validity. Between January 1, 1997 and March 31, 2018, a total of 11 262 730 women were offered screening of whom 9 371 973 attended at least one appointment, with 139 million person-years of follow-up (a median of 12.4 person years for each woman included) with 73 810 breast cancer deaths and 1 111 139 any-cause deaths. Comparability to reference data sets and internal validity were demonstrated. Data completeness was high for core screening variables (>99%) and main cancer outcomes (>95%). CONCLUSIONS: The ATHENA-M project has created a large high-quality and representative data set of individual women's screening trajectories and outcomes in England from 1997 to 2018, data before 1997 are lower quality. ADVANCES IN KNOWLEDGE: This is the most complete data set of English breast screening records and outcomes constructed to date, which can be used to evaluate and optimize screening.

Smartphones, social Media and Adolescent mental well-being: the impact of school policies Restricting dayTime use-protocol for a natural experimental observational study using mixed methods at secondary schools in England (SMART Schools Study).

INTRODUCTION: Smartphone and social media use is prevalent during adolescence, with high levels of use associated with lower levels of mental well-being. Secondary schools in the UK have introduced policies that restrict daytime use of smartphones and social media, but there is no evaluation on the impact of these policies on adolescent mental well-being. The SMART Schools Study aims to determine the impact of daytime restrictions of smartphone and social media use on indicators of adolescent mental well-being, anxiety, depression, physical activity, sleep, classroom behaviour, attainment and addictive social media use. METHODS AND ANALYSIS: This is a natural experimental observational study using mixed methods. Secondary schools within a 100 mile radius of the recruiting centre in the West Midlands (UK) have been categorised into two groups: Schools that restrict (intervention) and permit (comparator) daytime use of smartphones. We aim to recruit 30 schools (20 restrictive, 10 permissive) and 1170 pupils aged 12-13 and 14-15 years. We will collect data on mental well-being, anxiety and depressive symptoms, phone and social media use, sleep and physical activity from pupil surveys, and accelerometers. Policy implementation measures and data on individual pupil factors will be collected through school staff surveys, and website/policy analysis. Six case study schools will explore individual, school and family/home factors that influence relationships between school smartphone policies, smartphone/social media use, and mental well-being. Economic evaluation will be completed through a cost-consequence analysis from an education sector perspective. ETHICS AND DISSEMINATION: Ethical approval was obtained from the University of Birmingham's Research Ethics Committee (ERN_22-0723). Parents/carers of pupil participants can complete a form to opt their child out of the study. Pupil, school staff and parent/carer participants are asked to complete online/written consent (or assent). Findings will be disseminated through policy briefings, resources for schools, social media, reports, and open access publications. TRIAL REGISTRATION NUMBER: ISRCTN77948572.

Measuring the Impact of a Formalized Surgical Patient Signout System.

OBJECTIVE: Routine patient signout within medical teams is an integral component of patient care. Standardized signout systems have shown lowered risks of harm and adverse outcomes to patients, however, many of these systems are difficult to utilize with surgical patients. The purpose of this study was to determine if a standardized surgical signout model would improve resident satisfaction of the signout process and improve resident preparedness for cross-covered services. DESIGN: A 16-question survey was administered to the surgical residents at a single general surgery residency program. A standardized signout using the mnemonic "CUTS" (Core problem, Updates, Things-to-do, Setbacks) was then implemented in the program. Residents retook the survey at 1, 3, and 6-month intervals to compare resident satisfaction on signout before and after the standardized signout implementation. The descriptive statistics of the survey were analyzed for trends over time, trends by resident training year, and for inferential statistics utilizing subscales. RESULTS: The descriptive statistics showed that there was an overall trend towards greater resident satisfaction with signout over time with satisfaction increasing from 41.1% to 80% in the general resident cohort. While there were no statistically significant differences, subscale analysis demonstrated greatest trends for improved satisfaction with the CUTS signout model for the PGY1 and PGY5 classes. There was additionally an increased resident preparedness for overnight events and calls, with a 27% increase in perceived preparedness "75% of the time" and a 5.5% increase in perceived preparedness "Always". There was no difference in time spent on signout after the implementation of the model. CONCLUSIONS: The surgical standardized signout model, CUTS, demonstrated that residents within a single program were more satisfied with signouts, had improved patient understanding and knowledge, and felt increased preparedness for overnight events on cross-covered patients. Further research is needed to determine the impact of the CUTS signout system on patient outcomes.

An Analysis of East Asian American Inpatient Psychiatric Data from the Hawai'i Health Information Corporation Database.

Past research has examined the complex reasons for the apparent reluctance of East Asian Americans (ie, Chinese, Japanese, Koreans) to seek mental health services when needed. The current study analyzed East Asian American (EAA) mental health, utilizing inpatient hospitalization data from the Hawai'i Health Information Corporation (HHIC) database. Frequency of inpatient hospitalizations for specific mental health diagnoses (depression, bipolar disorder, schizophrenia, and suicide attempts/ideation) in EAA patients was examined. White, Native Hawaiian, and Filipino patients were included for comparative purposes. Retrospective data on adult (18 years and over) inpatient visits in Hawai'i from 2007 to 2017 were analyzed. Variables available for analysis were detailed race/ethnicity, age, sex, island, and insurance type as well as readmission rates, severity of illness (SOI), and initial length of stay (LOS). Overall, there were no significant differences between race/ethnicity groups in regards to readmission, SOI, or LOS for a majority of the diagnoses. However, for depression, even when adjusting for other demographics, Japanese and Chinese patients had significantly higher initial LOS and SOI than White patients, though the strength of this association was weak (R Squared model fits being less than .1 for both outcomes). The reason for these findings requires further examination, including whether EAAs may be reticent to seek help and/or whether healthcare providers are not recognizing the need for assistance.

Prognostic Role of Targeted Methylation Analysis in Paraffin-embedded Samples of Adrenocortical Carcinoma.

CONTEXT: Adrenocortical carcinoma (ACC) is a rare aggressive disease with heterogeneous prognoses. Previous studies identified hypermethylation in the promoter region of specific genes to be associated with poor clinical outcome. OBJECTIVE: Comparative analysis of promising hypermethylated genes as prognostic markers and evaluation of their added value to established clinical prognostic tools. DESIGN: We included 237 patients with ACCs. Tumor DNA was isolated from formalin-fixed paraffin-embedded (FFPE) samples. Targeted pyrosequencing was used to detect promoter region methylation in 5 preselected genes (PAX5, GSTP1, PYCARD, PAX6, G0S2). The prognostic role of hypermethylation pattern was compared with the Stage, Grade, Resection status, Age, Symptoms (S-GRAS) score. Primary endpoints were progression-free (PFS) and overall survival (OS), with disease-free (DFS) as secondary endpoint. RESULTS: A total of 27.9%, 13.9%, 49%, 49%, and 25.3% of cases showed hypermethylation in PAX5, GSTP1, PYCARD, PAX6, and G0S2, respectively. Hypermethylation in all individual genes-except GSTP1-was significantly associated with both PFS and OS-with hazard ratios (HR) between 1.4 and 2.3. However, only hypermethylation of PAX5 remained significantly associated with OS (P = 0.013; HR = 1.95, 95% CI, 1.2-3.3) in multivariable analysis. A model for risk stratification was developed, combining PAX5 methylation status and S-GRAS groups, showing improved prognostic performance compared to S-GRAS alone (Harrell's C index: OS = 0.751, PFS = 0.711, DFS = 0.688). CONCLUSIONS: This study demonstrated that hypermethylation in PAX5 is associated with worst clinical outcome in ACC, even after accounting for S-GRAS score. Assessing methylation in FFPE material is straightforward in the clinical setting and could be used to improve accuracy of prognostic classification, enabling the direction of personalized management.

Randomized controlled trials in patients with COVID-19: a systematic review and critical appraisal.

OBJECTIVES: This study aimed to describe the prevalence of risks of bias in randomized trials of therapeutic interventions for COVID-19. METHODS: Systematic review and risk of bias assessment performed by two independent reviewers of a random sample of 40 randomized trials of therapeutic interventions for moderate-severe COVID-19. We used the RoB 2.0 tool to assess the risk of bias, which evaluates bias under five domains as well as an overall assessment of each trial as high or low risk of bias. RESULTS: Of the 40 included trials, 19 (47%) were at high risk of bias, and this was particularly frequent in trials from low-middle income countries (11/14, 79%). Potential deviations to intended interventions (i.e., control participants accessing experimental treatments) were considered a potential source of bias in some studies (14, 35%), as was the risk due to selective reporting of results (6, 15%). The randomization process was considered at low risk of bias in most studies (34, 95%), as were missing data (36, 90%) and measurement of the outcome (35, 87%). CONCLUSION: Many randomized trials evaluating COVID-19 interventions are at risk of bias, particularly those conducted in low-middle income countries. Biases are mostly due to deviations from intended interventions and partly due to the selection of reported results. The use of placebo control and publicly available protocol can mitigate many of these risks.

Factors Related to Pediatric Readmissions of Four Major Diagnostic Categories in Hawai`i.

Readmissions are a key quality measure for health care decision making and understanding variables associated with readmissions has become a crucial research area. This study identified patient-level factors that might be associated with pediatric readmissions using a database that included inpatient data from 2008 to 2017 from Hawai`i. Four major diagnostic categories with the most pediatric readmissions in the state were identified: respiratory, digestive, mental, and nervous system diseases and disorders. The associations between readmission and patient-level variables, such as age, sex, race/ethnicity, insurance status, and Charlson Comorbidity Index (CCI), were determined for each diagnosis and for overall readmissions. CCI and insurance were the strongest predictors when all diagnoses were combined. However, for some diagnoses, there was weak or no association between CCI, insurance, and readmission. This suggests that diagnosis-specific analysis of predictors of readmission may be more useful than looking at predictors of readmission for all diagnoses combined. While this study focused on patient variables, future studies should also incorporate how hospital variables may also be related to diagnosis.

A national survey of nurse practitioners' patient satisfaction outcomes.

BACKGROUND: The research findings about nurse practitioner (NP) patient experiences (satisfaction) are limited to small sample sizes from local community clinics. No national studies with large sample sizes were found. PURPOSE: To analyze responses from the Consumer Assessment of Healthcare Providers and Systems survey and compare the patient experiences from four different provider categories. METHODS: Secondary data analysis was completed on survey responses from 53,885 patients. FINDINGS: In the sample, medical doctor providers were disproportionately represented in greater number than NPs, doctor of osteopathy, or physician assistant. Further analysis comparing patient experiences between providers revealed NP to be rated significantly higher than their colleagues. DISCUSSION: Recognizing the factors associated with patient satisfaction with their providers can lead to improvements in patient-provider interactions that can result in increased quality of care. CONCLUSION: Policy makers should find opportunities to employ NP in primary care settings and achieve greater patient satisfaction that can influence outcomes associated with patient-centered care initiatives.