(1) Background: Climate change is increasing the already frequent diverse extreme weather events (EWE) across geographic locations, directly and indirectly impacting human health. However, current ongoing research fails to address the magnitude of these indirect impacts, including healthcare access. Vulnerable populations such as persons with spinal cord injury (pSCI) face added physiologic burden such as thermoregulation or mobility challenges like closure of public transportation. Our exploratory research assessed commute and transport to healthcare facilities as well as the knowledge, attitudes and behaviors (KAB) of pSCI regarding EWE and climate change when compared to pSCI caregivers (CG) and the general public (GP). (2) Methods: A KAB survey was employed to conduct a cross-sectional assessment of pSCI, CG, and GP in Miami from October through November 2019 using snowball sampling. Descriptive and logistic regression statistical analyses were used. (3) Results: Of 65 eligible survey respondents, 27 (41.5%) were pSCI, 11 (17%) CG, and 27 (41.5%) GP. Overall, pSCI reported EWE, particularly flooding and heavy rain, affecting their daily activities including healthcare appointments, more frequently than CG or GP. The overall models for logistic regression looking at commute to and attendance of healthcare appointments were statistically significant. pSCI self-report being less vulnerable than others, and a large proportion of each group was not fully convinced climate change is happening. (4) Conclusions: This study provided insight to the KAB of 3 population subgroups in Miami, Florida. pSCI are significantly more vulnerable to the effects of regional weather events yet exhibit disproportionate self-perception of their vulnerability. Continued and more comprehensive research is needed to characterize the barriers that vulnerable populations face during weather events.

Prognostication of patients with acute disorders of consciousness is imprecise but more accurate technology-supported predictions, such as cognitive motor dissociation (CMD), are emerging. CMD refers to the detection of willful brain activation following motor commands using functional magnetic resonance imaging or machine learning–supported analysis of the electroencephalogram in clinically unresponsive patients. CMD is associated with long-term recovery, but acceptance by surrogates and health care professionals is uncertain. The objective of this study was to determine receptiveness for CMD to inform goals of care (GoC) decisions and research participation among health care professionals and surrogates of behaviorally unresponsive patients. This was a two-center study of surrogates of and health care professionals caring for unconscious patients with severe neurological injury who were enrolled in two prospective US-based studies. Participants completed a 13-item survey to assess demographics, religiosity, minimal acceptable level of recovery, enthusiasm for research participation, and receptiveness for CMD to support GoC decisions. Completed surveys were obtained from 196 participants (133 health care professionals and 63 surrogates). Across all respondents, 93

Resting-state electroencephalography (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI). We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in patients with TBI. This is a retrospective study of comatose patients with TBI who were admitted to a trauma center (October 2013 to January 2022). Demographics, basic clinical data, imaging characteristics, and EEGs were collected. We calculated the following using 10-min rsEEGs: power spectral density, permutation entropy (complexity measure), weighted symbolic mutual information (wSMI, global information sharing measure), Kolmogorov complexity (Kolcom, complexity measure), and heart-evoked potentials (the averaged EEG signal relative to the corresponding QRS complex on electrocardiography). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, and rsEEG data via a support vector machine. We studied 113 of 134 (84

Background and ObjectivesTo report the prevalence of acute encephalopathy and outcomes in patients with severe coronavirus disease 2019 (COVID-19) and to identify determinants of 90-day outcomes.MethodsData from adults with severe COVID-19 and acute encephalopathy were prospectively collected for patients requiring intensive care unit management in 31 university or university-affiliated intensive care units in 6 countries (France, United States, Colombia, Spain, Mexico, and Brazil) between March and September of 2020. Acute encephalopathy was defined, as recently recommended, as subsyndromal delirium or delirium or as a comatose state in case of severely decreased level of consciousness. Logistic multivariable regression was performed to identify factors associated with 90-day outcomes. A Glasgow Outcome Scale-Extended (GOS-E) score of 1-4 was considered a poor outcome (indicating death, vegetative state, or severe disability).ResultsOf 4,060 patients admitted with COVID-19, 374 (9.2%) experienced acute encephalopathy at or before the intensive care unit (ICU) admission. A total of 199/345 (57.7%) patients had a poor outcome at 90-day follow-up as evaluated by the GOS-E (29 patients were lost to follow-up). On multivariable analysis, age older than 70 years (odds ratio [OR] 4.01, 95% CI 2.25-7.15), presumed fatal comorbidity (OR 3.98, 95% CI 1.68-9.44), Glasgow coma scale score <9 before/at ICU admission (OR 2.20, 95% CI 1.22-3.98), vasopressor/inotrope support during ICU stay (OR 3.91, 95% CI 1.97-7.76), renal replacement therapy during ICU stay (OR 2.31, 95% CI 1.21-4.50), and CNS ischemic or hemorrhagic complications as acute encephalopathy etiology (OR 3.22, 95% CI 1.41-7.82) were independently associated with higher odds of poor 90-day outcome. Status epilepticus, posterior reversible encephalopathy syndrome, and reversible cerebral vasoconstriction syndrome were associated with lower odds of poor 90-day outcome (OR 0.15, 95% CI 0.03-0.83).DiscussionIn this observational study, we found a low prevalence of acute encephalopathy at ICU admission in patients with COVID-19. More than half of patients with COVID-19 presenting with acute encephalopathy had poor outcomes as evaluated by GOS-E. Determinants of poor 90-day outcome were dominated by older age, comorbidities, degree of impairment of consciousness before/at ICU admission, association with other organ failures, and acute encephalopathy etiology.

OBJECTIVE:Limited data are available on posttraumatic stress symptoms (PTSS) among COVID-19 survivors. This study aimed to contribute to this knowledge base.METHODS:PTSS among COVID-19 survivors who had been hospitalized were investigated. Patients were identified as COVID-19 positive at hospital admission. COVID-19 survivors were surveyed with the Posttraumatic Stress Disorder Checklist (PCL-5) between March and October 2020 at 5- and 12-month postdischarge follow-up points.RESULTS:Of 411 patients, 331 (81%) survived to hospital discharge. Of these survivors, 83 (25%) completed the PCL-5 at the 5-month follow-up. Of those patients, 12 (14%) screened positive for PTSS. At the 12-month follow-up, four of eight patients remained PTSS positive. Mean age of follow-up participants was 62±15 years; 47% were women, 65% were White, and 63% were Hispanic. PTSS-positive patients were predominantly non-White (67% vs. 30%, p=0.02), and although the differences were not statistically significant, these patients tended to be younger (56 vs. 63 years, p=0.08) and have shorter intensive care unit stays (2.0 vs. 12.5 days, p=0.06). PTSS-positive and PTSS-negative groups did not differ significantly in prehospitalization neurological diagnoses (11% vs. 8%), psychiatric diagnoses (17% vs. 21%), and intensive care admission status (25% vs. 25%). More patients in the PTSS-positive group had returned to the emergency department (50% vs. 14%, p<0.01) and reported fatigue at follow-up (100% vs. 42%, p<0.001). In the multivariate logistic regression model, non-White race (OR=11, 95% CI=2-91) and returning to the emergency department (OR=19, 95% CI=3-252) were associated with PTSS-positive status.CONCLUSION:PTSS were twice as common among hospitalized COVID-19 survivors than among those in the general population.

Introduction: The decision to withhold or withdraw life-sustaining therapy (WLST) is common after acute stroke. Factors that may influence the decision are not well determined. We aimed to investigate factors associated with WLST in hospitalized acute stroke patients. Methods: Patients with acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) were included across 152 Florida hospitals participating in the prospective Florida Stroke Registry from 2008-2021. Importance plots were performed to generate the predictive factors associated with WLST. AUC-ROC curves were generated for the performance of logistic regression (LR) and random forest (RF) models. We used 75/15/15 for training/testing/validation. Results: Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 28%, and 19% subsequently had WLST during hospitalization. Patients who had WLST were older (77 vs. 69 years), more women (57% vs. 49%), more White (76% vs. 67%), greater stroke severity at presentation NIHSS ≥ 5 (29% vs.19%), more likely to be treated in comprehensive stroke centers (52% vs. 44%), more likely to have Medicare insurance (53% vs. 44%), less likely to be uninsured (8% vs. 13%), more likely to undergo surgical treatments (1.2% vs 0.3%), and more likely to have impaired level of consciousness (38% vs. 12%). The most predictive factors associated with the decision to WLST in AIS were age, stroke severity, state region, insurance status, stroke center type, race, and level of consciousness (RF AUC of .93 and LR AUC of .85). The most predictive factors in ICH were age, impaired level of consciousness, state region, race, insurance status, stroke center type, and ambulation status at baseline (RF AUC of .76 and LR AUC of .71). Most predictive factors in SAH were age, impaired level of consciousness, state region, insurance status, race, and stroke center type (RF AUC of .82 and LR AUC of .72). Conclusion: Among acute hospitalized stroke patients; age, level of consciousness, state region, race, insurance status, ambulation status at baseline, and stroke center type could contribute to the decision to WLST.

OBJECTIVES: Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined. DESIGN: Observational study (2008–2021). SETTING: Florida Stroke Registry (152 hospitals). PATIENTS: Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Importance plots were performed to generate the most predictive factors of WLST. Area under the curve (AUC) for the receiver operating curve were generated for the performance of logistic regression (LR) and random forest (RF) models. Regression analysis was applied to evaluate temporal trends. Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 28%, and 19% subsequently had WLST. Patients who had WLST were older (77 vs 70 yr), more women (57% vs 49%), White (76% vs 67%), with greater stroke severity on the National Institutes of Health Stroke Scale greater than or equal to 5 (29% vs 19%), more likely hospitalized in comprehensive stroke centers (52% vs 44%), had Medicare insurance (53% vs 44%), and more likely to have impaired level of consciousness (38% vs 12%). Most predictors associated with the decision to WLST in AIS were age, stroke severity, region, insurance status, center type, race, and level of consciousness (RF AUC of 0.93 and LR AUC of 0.85). Predictors in ICH included age, impaired level of consciousness, region, race, insurance status, center type, and prestroke ambulation status (RF AUC of 0.76 and LR AUC of 0.71). Factors in SAH included age, impaired level of consciousness, region, insurance status, race, and stroke center type (RF AUC of 0.82 and LR AUC of 0.72). Despite a decrease in the rates of early WLST (< 2 d) and mortality, the overall rates of WLST remained stable. CONCLUSIONS: In acute hospitalized stroke patients in Florida, factors other than brain injury alone contribute to the decision to WLST. Potential predictors not measured in this study include education, culture, faith and beliefs, and patient/family and physician preferences. The overall rates of WLST have not changed in the last 2 decades.

Eye tracking assessments are clinician dependent and can contribute to misclassification of coma. We investigated responsiveness to videos with and without audio in traumatic brain injury (TBI) subjects using video eye-tracking (VET). We recruited 20 healthy volunteers and 10 unresponsive TBI subjects. Clinicians were surveyed whether the subject was tracking on their bedside assessment. The Coma Recovery Scale-Revised (CRS-R) was also performed. Eye movements in response to three different 30-second videos with and without sound were recorded using VET. The videos consisted of moving characters (a dancer, a person skateboarding, and Spiderman). Tracking on VET was defined as visual fixation on the character and gaze movement in the same direction of the character on two separate occasions. Subjects were classified as "covert tracking" (tracking using VET only), "overt tracking" (VET and clinical exam by clinicians), and "no tracking". A k-nearest-neighbors model was also used to identify tracking computationally. Thalamocortical connectivity and structural integrity were evaluated with EEG and MRI. The ability to obey commands was evaluated at 6- and 12-month follow-up. The average age was 29 (± 17) years old. Three subjects demonstrated "covert tracking" (CRS-R of 6, 8, 7), two "overt tracking" (CRS-R 22, 11), and five subjects "no tracking" (CRS-R 8, 6, 5, 6, 7). Among the 84 tested trials in all subjects, 11 trials (13%) met the criteria for "covert tracking". Using the k-nearest approach, 14 trials (17%) were classified as "covert tracking". Subjects with "tracking" had higher thalamocortical connectivity, and had fewer structures injured in the eye-tracking network than those without tracking. At follow-up, 2 out of 3 "covert" and all "overt" subjects recovered consciousness versus only 2 subjects in the "no tracking" group. Immersive stimuli may serve as important objective tools to differentiate subtle tracking using VET.

Background: A novel approach to understand the influence of extreme weather events (EWE) on healthcare access (HA) in a population living with HIV (PLWH) demonstrated an increase of up to 13% no-show rate during these events in Miami, Florida. As a coastal city, it is exposed to EWE at increased frequency and intensity. Indirect effects of EWE disrupt comprehensive HA, affecting ART adherence and HIV-treatment retention rates. Method: This study was conducted at the largest academic medical center for South Florida, including a sample of ~87,000 clinic visits retrospectively modelled against EWE. Thirty years of hourly weather data were extracted for Miami, Florida, from the NOAA, and percentiles extrapolated. EWE were defined as >90 th percentile of heat or precipitation. Time series regression analysis was used to link the clinic visits (2015-2019) with percentiles. A survey was distributed to PLWH receiving clinical care and aimed to understand their knowledge, attitudes, and behaviors regarding climate and health, and EWE. These clinics include PLWH who are MSM, pregnant women, homeless, and other marginalized individuals in Miami. Results: There were nearly 10 months with extreme heat and 3 months with extreme precipitation inconsecutively within the five-year study-pe-riod. A 6% reduction in attendance on days with extreme heat (p=.0001), and 3% reduction on days with extreme precipitation (p=.1855) was seen. When asked what PLWH would do if they had a scheduled clinic visit but would be faced with EWE, they were nearly 4x more likely to not attend due to high temperature (p=0.0122) or heavy rain (p=0.0058). Conclusion: As EWE become more prevalent, it is important to develop capacity building within existing healthcare systems and community planning. Climate’s (in)direct influence on health and healthcare access should be integrated in the conversation to build resilient systems offering comprehensive care, ART adherence and increase treatment retention.

ObjectivesThis study investigated video eye tracking (VET) in comatose patients with traumatic brain injury (TBI).MethodsWe recruited healthy participants and unresponsive patients with TBI. We surveyed the patients' clinicians on whether the patient was tracking and performed the Coma Recovery Scale-Revised (CRS-R). We recorded eye movements in response to motion of a finger, a face, a mirror, and an optokinetic stimulus using VET glasses. Patients were classified as covert tracking (tracking on VET alone) and overt tracking (VET and clinical examination). The ability to obey commands was evaluated at 6-month follow-up.ResultsWe recruited 20 healthy participants and 10 patients with TBI. The use of VET was feasible in all participants and patients. Two patients demonstrated covert tracking (CRS-R of 6 and 8), 2 demonstrated overt tracking (CRS-R of 22 and 11), and 6 patients had no tracking (CRS-R of 8, 6, 5, 7, 6, and 7). Five of 56 (9%) tracking assessments were missed on clinical examination. All patients with tracking recovered consciousness at follow-up, whereas only 2 of 6 patients without tracking recovered at follow-up.DiscussionVET is a feasible method to measure covert tracking. Future studies are needed to confirm the prognostic value of covert tracking.

Background and ObjectivesEarly consciousness disorder (ECD) after acute ischemic stroke (AIS) is understudied. ECD may influence outcomes and the decision to withhold or withdraw life-sustaining treatment.MethodsWe studied patients with AIS from 2010 to 2019 across 122 hospitals participating in the Florida Stroke Registry. We studied the effect of ECD on in-hospital mortality, withholding or withdrawal of life-sustaining treatment (WLST), ambulation status on discharge, hospital length of stay, and discharge disposition.ResultsOf 238,989 patients with AIS, 32,861 (14%) had ECD at stroke presentation. Overall, average age was 72 years (Q1 61, Q3 82), 49% were women, 63% were White, 18% were Black, and 14% were Hispanic. Compared to patients without ECD, patients with ECD were older (77 vs 72 years), were more often female (54% vs 48%), had more comorbidities, had greater stroke severity as assessed by the National Institutes of Health Stroke Scale (score ≥5 49% vs 27%), had higher WLST rates (21% vs 6%), and had greater in-hospital mortality (9% vs 3%). Using adjusted models accounting for basic characteristics, patients with ECD had greater in-hospital mortality (odds ratio [OR] 2.23, 95% CI 1.98–2.51), had longer hospitalization (OR 1.37, 95% CI 1.33–1.44), were less likely to be discharged home or to rehabilitation (OR 0.54, 95% CI 0.52–0.57), and were less likely to ambulate independently (OR 0.61, 95% CI 0.57–0.64). WLST significantly mediated the effect of ECD on mortality (mediation effect 265; 95% CI 217–314). In temporal trend analysis, we found a significant decrease in early WLST (<2 days) (R2 0.7, p = 0.002) and an increase in late WLST (≥2 days) (R2 0.7, p = 0.004).DiscussionIn this large prospective multicenter stroke registry, patients with AIS presenting with ECD had greater mortality and worse discharge outcomes. Mortality was largely influenced by the WLST decision.

BACKGROUND AND PURPOSE:Impaired level of consciousness (LOC) on presentation at hospital admission in patients with intracerebral hemorrhage (ICH) may affect outcomes and the decision to withhold or withdraw life-sustaining treatment (WOLST).METHODS:Patients with ICH were included across 121 Florida hospitals participating in the Florida Stroke Registry from 2010 to 2019. We studied the effect of LOC on presentation on in-hospital mortality (primary outcome), WOLST, ambulation status on discharge, hospital length of stay, and discharge disposition.RESULTS:Among 37 613 cases with ICH (mean age 71, 46% women, 61% White, 20% Black, 15% Hispanic), 12 272 (33%) had impaired LOC at onset. Compared with cases with preserved LOC, patients with impaired LOC were older (72 versus 70 years), more women (49% versus 45%), more likely to have aphasia (38% versus 16%), had greater ICH score (3 versus 1), greater risk of WOLST (41% versus 18%), and had an increased in-hospital mortality (32% versus 12%). In the multivariable-logistic regression with generalized estimating equations accounting for basic demographics, comorbidities, ICH severity, hospital size and teaching status, impaired LOC was associated with greater mortality (odds ratio, 3.7 [95% CI, 3.1-4.3], P<0.0001) and less likely discharged home or to rehab (odds ratio, 0.3 [95% CI, 0.3-0.4], P<0.0001). WOLST significantly mediated the effect of impaired LOC on mortality (mediation effect, 190 [95% CI, 152-229], P<0.0001). Early WOLST (<2 days) occurred among 51% of patients. A reduction in early WOLST was observed in patients with impaired LOC after the 2015 American Heart Association/American Stroke Association ICH guidelines recommending aggressive treatment and against early do-not-resuscitate.CONCLUSIONS:In this large multicenter stroke registry, a third of ICH cases presented with impaired LOC. Impaired LOC was associated with greater in-hospital mortality and worse disposition at discharge, largely influenced by early decision to withhold or WOLST.

Background: Impaired level of consciousness (LOC) on presentation after intracerebral hemorrhage (ICH) may affect outcomes and the decision to withdraw life-sustaining treatment (WLST). We aim to investigate the outcomes and trends after ICH by the LOC status on presentation. Methods: We studied 37,613 cases with ICH in the Florida Stroke Registry from 2010-2019. Pearson chi-squared and Kruskall-Wallis tests were used to compare descriptive statistics. A multivariable-logistic regression with GEE accounted for basic demographics, comorbidities, ICH severity, hospital size and teaching status. Results: At stroke presentation, 12,272 (33%) cases had impaired LOC (mean age 72, 49% women, 61 white%, 20% Black, 14% Hispanic). Compared to cases with preserved LOC, LOC case were older (72 vs. 70 years old), more women (49% vs. 45%), more likely to have aphasia (38% vs. 16%), had lower GCS score (9 vs. 15), had greater ICH score (3 vs. 1), greater WLST rates (41% vs. 18%), and had greater in-hospital mortality rates (32% vs. 12%). In our adjusted model, no association was found between impaired LOC and in-hospital mortality, or length of stay. Those with preserved LOC were more likely discharged home/rehab (OR 0.4, 95%CI 0.2-0.9, p=0.03) and more likely to ambulate independently (OR 1.6, 95%CI 1.1-2.4, p=0.02). Trend analysis (2010-2019) showed decreased mortality, increased length of stay, and increased rates of discharge to home/rehab in all, regardless of the LOC status. Conclusion: In this large multi-center registry, a third of ICH cases presents with impaired LOC. Although LOC was not associated with significantly more in-hospital morality, LOC was associated with had higher rates of WLST and more disability at discharge. Future efforts should focus on biomarkers of LOC that detect early recovery and reduced disability in ICH patients with impaired LOC.

Background U.S. Hispanic/Latino construction workers constitute a large and historically underserved group in terms of smoking cessation services. Using formative research, we developed a worksite smoking cessation intervention tailored to the life/work circumstances of these workers. Aims This study aims to examine the feasibility, acceptability, and potential efficacy of the developed intervention “Enhanced Care” (EC; one group behavioral counseling session provided around the food truck + fax referral to tobacco quitline [QL] + 8-week nicotine replacement treatment [NRT]) compared with “Standard Care” (SC; fax referral to tobacco QL + 8-week NRT) in a pilot, two-arm, cluster randomized controlled trial. Method In collaboration with construction site safety managers, a sample of 17 construction sites (EC: nine sites/65 smokers; SC: eight sites/69 smokers) was enrolled. Participants received two follow-ups at 3 and 6 months after enrollment. Feasibility outcomes were enrollment rate, adherence to treatment, and 6-month retention rates. The primary efficacy outcome was 6 months prolonged abstinence verified by expired carbon monoxide <10 ppm. Results Enrollment rate was high (85.9%). Six-month follow-up rates were acceptable (EC = 76.9%, SC = 66.6%). Adherence to treatment was better in the EC group (received worksite intervention: EC = 93.8%, SC = 88.4%; contacted by QL: EC = 49.2%, SC = 40.6%). Abstinence rates were 27.7% for the EC and 20.3% for the SC (p = .315). Discussion The developed intervention was feasible and acceptable, and it substantially improved abstinence among Hispanic/Latino workers. The involvement of safety managers was essential to the implementation of the intervention. Training safety managers to deliver the intervention has great potential to implement a sustainable smoking cessation service in the construction sector.

Extreme weather events (EWE) are expected to increase as climate change intensifies, leaving coastal regions exposed to higher risks. South Florida has the highest HIV infection rate in the United States, and disruptions in clinic utilization due to extreme weather conditions could affect adherence to treatment and increase community transmission. The objective of this study was to identify the association between EWE and HIV-clinic attendance rates at a large academic medical system serving the Miami-Dade communities. The following methods were utilized: (1) Extreme heat index (EHI) and extreme precipitation (EP) were identified using daily observations from 1990–2019 that were collected at the Miami International Airport weather station located 3.6 miles from the studied HIV clinics. Data on hurricanes, coastal storms and flooding were collected from the National Oceanic and Atmospheric Administration Storms Database (NOAA) for Miami-Dade County. (2) An all-HIV clinic registry identified scheduled daily visits during the study period (hurricane seasons from 2017–2019). (3) Daily weather data were linked to the all-HIV clinic registry, where patients’ ‘no-show’ status was the variable of interest. (4) A time-stratified, case crossover model was used to estimate the relative risk of no-show on days with a high heat index, precipitation, and/or an extreme natural event. A total of 26,444 scheduled visits were analyzed during the 383-day study period. A steady increase in the relative risk of ‘no-show’ was observed in successive categories, with a 14% increase observed on days when the heat index was extreme compared to days with a relatively low EHI, 13% on days with EP compared to days with no EP, and 10% higher on days with a reported extreme weather event compared to days without such incident. This study represents a novel approach to improving local understanding of the impacts of EWE on the HIV-population’s utilization of healthcare, particularly when the frequency and intensity of EWE is expected to increase and disproportionately affect vulnerable populations. More studies are needed to understand the impact of EWE on routine outpatient settings.

Background: Impaired level of consciousness (LOC) on presentation after acute ischemic stroke (AIS) may affect outcomes and the decision to withdraw life-sustaining treatment (WLST). We aim to investigate the outcomes and their trends after AISby the LOC on stroke presentation. Methods: We studied 238,989 cases with AIS in the Florida Stroke Registry from 2010-2019. Pearson chi-squared and Kruskall-Wallis tests were used to compare descriptive statistics. A multivariable-logistic regression with GEE accounted for basic demographics, comorbidities, stroke severity, location, hospital size and teaching status. Results: At stroke presentation, 32,861 (14%) cases had impaired LOC (mean age 77, 54% women, 60 white%, 19% Black, 16% Hispanic). Compared to cases with preserved LOC, impaired cases were older (77 vs. 72 years old), more women (54% vs. 48%), had more comorbidities, greater stroke severity on NIHSS ≥ 5 (49% vs. 27%), higher WLST rates (3% vs. 0.6%), and greater in-hospital mortality rates (9% vs. 3%). In our adjusted model however, no significant association was found between impaired LOC and in-hospital mortality, or length of stay. Those with preserved LOC were more likely discharged home/rehab (OR 0.7, 95%CI 0.6-0.8, p<0.0001) and more likely to ambulate independently (OR 0.7, 95%CI 0.6-0.9, p=0.001). Trend analysis (2010-2019) showed decreased mortality, increased length of stay, and increased rates of discharge to home/rehab in all irrespective of LOC status. Conclusion: In this large multicenter registry, AIS cases presenting with impaired LOC had more severe strokes at presentation. Although LOC was not associated with significantly worse in-hospital morality, it was associated with higher rates of WLST and more disability among survivors. Future efforts should focus on biomarkers of LOC that discriminates the potential for early recovery and reduced disability in acute stroke patients with impaired LOC.

Construction workers have the highest smoking rate among all occupations (39%). Hispanic/Latino workers constitute a large and increasing group in the US construction industry (over 2.6 million; 23% of all workers). These minority workers have lower cessation rates compared to other groups due to their limited access to cessation services, and lack of smoking cessation interventions adapted to their culture and work/life circumstances. Formative research was conducted to create an intervention targeting Hispanic/Latino construction workers. This paper describes the intervention development and the design, methods, and data analysis plans for an ongoing cluster pilot two-arm randomized controlled trial comparing an Enhanced Care worksite cessation program to Standard Care. Fourteen construction sites will be randomized to either Enhanced Care or Standard Care and 126 participants (63/arm) will be recruited. In both arms, recruitment and intervention delivery occur around "food trucks" that regularly visit the construction sites. Participants at Enhanced Care sites will receive the developed intervention consisting of a single face-to-face group counseling session, 2 phone calls, and a fax referral to Florida tobacco quitline (QL). Participants at Standard Care sites will receive a fax referral to the QL. Both groups will receive eight weeks of nicotine replacement treatment and two follow-up assessments at three and six months. Feasibility outcomes are estimated recruitment yield, barriers to delivering the intervention onsite, and rates of adherence/compliance to the intervention, follow-ups, and QL enrollment. Efficacy outcomes are point-prevalence and prolonged abstinence rates at six month follow-up confirmed by saliva cotinine < 15 ng/ml.

Social support networks are crucial for the health of older adults; however, personal characteristics and time of life may diminish the protective effect of social support. Objective: to determine if the presence of social support networks were associated with cognitive impairment among Mexican adults aged 50 or older and if this relationship was different based on age. Method: This study analyzed data from the National Representation Survey performed in Mexico, Study on Global Ageing (SAGE) wave 1. Cognitive function was evaluated by a standardized test, social support was evaluated through latent class analysis (LCA). The LCA was run to obtain three subgroups of different Social Support Levels (SSL): low, medium, and high. Logistic regression models, stratified by age, were performed to analyze the association between SSL and cognitive function. Results: For respondents ages 71-80 y/o, there was an inverse relationship with cognitive impairment for those with medium (OR 0.23, p = 0.020) and high (OR 0.07, p = 0.000) SSL in comparison with low SSL. While social support helped to improve cognitive function in older adults aged 71-80, this same association was not observed in adults of other ages. Those younger than 70 y/o may not need such a strong support network as a result of being more self-sufficient. After 80, social networks were not enough to help diminish the negative impact of cognitive impairment. Conclusion: Social support could improve the cognitive function of adults ages 71 and 80; suggesting there could be a window of opportunity to improve cognitive functioning for this group. (C) 2016 Elsevier Ireland Ltd. All rights reserved.