BACKGROUND: Sleep disorders are prevalent after stroke, resulting in high recurrence rates and mortality. But the biomarkers of sleep disorders in stroke patients remain to be elucidated. This study aimed to explore the relationship between total bilirubin-to-uric acid ratio (TUR) and sleep quality after acute ischemic stroke (AIS).
METHODS: Three hundred twenty-six AIS patients were recruited and followed up 1 month after stroke in our study. Serum total bilirubin and uric acid levels were obtained within 24 h after admission. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality 1 month after stroke. We conducted receiver operating characteristic (ROC) curve analysis and screened the optimal biomarker to differentiate sleep disorders after stroke. Then the TUR was stratified according to the best cut-off value (0.036) of the ROC and further analysed by binary logistic regression analysis. Additionally, the interaction was used to explore the difference in its effect on post-stroke sleep quality in different subgroups.
RESULTS: Three hundred thirty-one patients (40.2%) were considered as having poor sleep quality during the one-month follow-up. Compared to patients with good sleep, patients with poor sleep were more likely to have higher TUR (IQR), 0.05 (0.03-0.06) versus 0.03 (0.02-0.04), P < 0.001. After adjusting for confounding factors, binary regression analysis demonstrated that a high TUR (≥0.036) was independently related to post-stroke poor sleep quality (OR = 3.75, 95% CI = 2.02-6.96, P < 0.001).
CONCLUSIONS: High TUR is associated with an increased risk of poor sleep quality in AIS patients, especially in females, diabetics, and patients with hyperlipidaemia.

BACKGROUND: Fall-risk assessment is complex. Based on current scientific evidence, a multifactorial approach, including the analysis of physical performance, gait parameters, and both extrinsic and intrinsic risk factors, is highly recommended. A smartphone-based app was designed to assess the individual risk of falling with a score that combines multiple fall-risk factors into one comprehensive metric using the previously listed determinants.
OBJECTIVE: This study provides a descriptive evaluation of the designed fall-risk score as well as an analysis of the app\'s discriminative ability based on real-world data.
METHODS: Anonymous data from 242 seniors was analyzed retrospectively. Data was collected between June 2018 and May 2019 using the fall-risk assessment app. First, we provided a descriptive statistical analysis of the underlying dataset. Subsequently, multiple learning models (Logistic Regression, Gaussian Naive Bayes, Gradient Boosting, Support Vector Classification, and Random Forest Regression) were trained on the dataset to obtain optimal decision boundaries. The receiver operating curve with its corresponding area under the curve (AUC) and sensitivity were the primary performance metrics utilized to assess the fall-risk score\'s ability to discriminate fallers from nonfallers. For the sake of completeness, specificity, precision, and overall accuracy were also provided for each model.
RESULTS: Out of 242 participants with a mean age of 84.6 years old (SD 6.7), 139 (57.4%) reported no previous falls (nonfaller), while 103 (42.5%) reported a previous fall (faller). The average fall risk was 29.5 points (SD 12.4). The performance metrics for the Logistic Regression Model were AUC=0.9, sensitivity=100%, specificity=52%, and accuracy=73%. The performance metrics for the Gaussian Naive Bayes Model were AUC=0.9, sensitivity=100%, specificity=52%, and accuracy=73%. The performance metrics for the Gradient Boosting Model were AUC=0.85, sensitivity=88%, specificity=62%, and accuracy=73%. The performance metrics for the Support Vector Classification Model were AUC=0.84, sensitivity=88%, specificity=67%, and accuracy=76%. The performance metrics for the Random Forest Model were AUC=0.84, sensitivity=88%, specificity=57%, and accuracy=70%.
CONCLUSIONS: Descriptive statistics for the dataset were provided as comparison and reference values. The fall-risk score exhibited a high discriminative ability to distinguish fallers from nonfallers, irrespective of the learning model evaluated. The models had an average AUC of 0.86, an average sensitivity of 93%, and an average specificity of 58%. Average overall accuracy was 73%. Thus, the fall-risk app has the potential to support caretakers in easily conducting a valid fall-risk assessment. The fall-risk score\'s prospective accuracy will be further validated in a prospective trial.

OBJECTIVE: To determine if ethnic disparities exist with regard to the risk of injury and injury outcomes among elderly hospitalized casualties in Israel.
METHODS: A retrospective study based on data from the Israeli National Trauma Registry between 2008 and 2017. Data included demographic, injury and hospitalization characteristics. Descriptive statistics and adjusted logistic regression were used to examine the differences between Jewish and Arab casualties, aged 65 and older.
RESULTS: The study included 96,795 casualties. The proportion of elderly hospitalized casualties was 2.8 times greater than their proportion in the population (3.1 times greater among Jews and 2.1 times among Arabs). In comparison to Arabs, Jews suffered from a greater percentage of head injuries (10.5 and 8.9%, respectively for Jews and Arabs p < .001), but fewer extremity injuries (46.7% vs. 48.0% respectively for Jews and Arabs p < .05). Among severe/critical casualties and among casualties with severe head injuries, Arabs were more likely to be transported to the hospital in a private car (27% vs. 21% respectively for Arabs and Jews p < .001; 30.5% vs. 23.3% respectively for Arabs and Jews p < .001). Logistic regression analysis, adjusted for age, gender, injury severity, type of injury, type of trauma center and year of admission, shows that Jews, relative to Arabs, were more likely to be hospitalized for more than seven days, admitted to the intensive care unit (ICU) and to be discharged to a rehabilitation center (OR: 1.3, 1.3 and 2.4 respectively). No differences regarding surgery (OR: 0.95) or in-hospital mortality (OR: 0.99) were found.
CONCLUSIONS: Ethnic disparities between Jewish and Arab hospitalized casualties were observed with regard to hospital stay, ICU admission and rehabilitation transfer. However, no differences were found with regard to mortality and surgery. While the reported disparities may be due in part by cultural differences and accessibility, health policy decision makers should aim to reduce the gaps by optimizing the accessibility of ambulance and rehabilitation services as well as increasing awareness regarding the availability of these medical services among the Arab population.

Limited continuity of care, poor communication between healthcare providers, and ineffective self-management are barriers to recovery as seniors transition back to the community following an Emergency Department (ED) visit or hospitalization. The intensive geriatric service worker (IGSW) role is a new service developed in southern Ontario, Canada to address gaps for seniors transitioning home from acute care to prevent rehospitalization and premature institutionalization through the provision of intensive support and follow-up to ensure adherence to care plans, facilitate communication with care providers, and promote self-management. This study describes the IGSW role and provides preliminary evidence of its impact on clients, caregivers and the broader health system.
This mixed methods evaluation included a chart audit of all clients served, tracking of the achievement of goals for IGSW involvement, and interviews with clients and caregivers and other key informants.
During the study period, 632 clients were served. Rates of goal achievement ranged from 25%-87% and in cases where achieved, the extent of IGSW involvement mostly exceeded recommendations. IGSWs were credited with improving adherence with treatment recommendations, increasing awareness and use of community services, and improving self-management, which potentially reduced ED visits and hospitalizations and delayed institutionalization.
The IGSW role has the potential to improve supports for seniors and facilitate more appropriate use of health system resources, and represents a promising mechanism for improving the integration and coordination of care across health sectors.

BACKGROUND: Diabetes and hypertension are devastating, deadly, and costly conditions that are very common in seniors. Controlling hypertension in seniors with diabetes dramatically reduces hypertension-related complications. However, blood pressure (BP) must be lowered carefully because seniors are also susceptible to low BP and attendant harms. Achieving \"optimal BP control\" (ie, avoiding both undertreatment and overtreatment) is the ultimate therapeutic goal in such patients. Regular BP monitoring is required to achieve this goal. BP monitoring at home is cheap, convenient, widely used, and guideline endorsed. However, major barriers prevent proper use. These may be overcome through use of BP telemonitoring-the secure teletransmission of BP readings to a health portal, where BP data are summarized for provider and patient use, with or without protocolized case management.
OBJECTIVE: To examine the incremental effectiveness, safety, cost-effectiveness, usability, and acceptability of home BP telemonitoring, used with or without protocolized case management, compared with \"enhanced usual care\" in community-dwelling seniors with diabetes and hypertension.
METHODS: A 300-patient, 3-arm, pragmatic randomized controlled trial with blinded outcome ascertainment will be performed in seniors with diabetes and hypertension living independently in seniors\' residences in greater Edmonton. Consenting patients will be randomized to usual care, home BP telemonitoring alone, or home BP telemonitoring plus protocolized pharmacist case management. Usual care subjects will receive a home BP monitor but neither they nor their providers will have access to teletransmitted data. In both telemonitored arms, providers will receive telemonitored BP data summaries. In the case management arm, pharmacist case managers will be responsible for reviewing teletransmitted data and initiating guideline-concordant and protocolized changes in BP management.
RESULTS: Outcomes will be ascertained at 6 and 12 months. Within-study-arm change scores will be calculated and compared between study arms. These include: (1) clinical outcomes: proportion of subjects with a mean 24-hour ambulatory systolic BP in the optimal range (110-129 mmHg in patients 65-79 years and 110-139 mmHg in those ≥80 years: primary outcome); additional ambulatory and home BP outcomes; A1c and lipid profile; medications, cognition, health care use, cardiovascular events, and mortality. (2) Safety outcomes: number of serious episodes of hypotension, syncope, falls, and electrolyte disturbances (requiring third party assistance or medical attention). (3) Humanistic outcomes: quality of life, satisfaction, and medication adherence. (4) Economic outcomes: incremental costs, incremental cost-utility, and cost per mmHg change in BP of telemonitoring ± case management compared with usual care (health payor and societal perspectives). (5) Intervention usability and acceptability to patients and providers.
CONCLUSIONS: The potential benefits of telemonitoring remain largely unstudied and unproven in seniors. This trial will comprehensively assess the impact of home BP telemonitoring across a range of outcomes. Results will inform the value of implementing home-based telemonitoring within supportive living residences in Canada.
BACKGROUND: Clinicaltrials.gov NCT02721667; https://clinicaltrials.gov/ct2/show/NCT02721667 (Archived by Webcite at http://www.webcitation.org/6i8tB20Mc).