Patient Self-Report Superior to Electronic Medical Record Abstraction for Identifying Positive COVID-19 Symptoms at Illness Onset.

Introduction: Most initial COVID-19 research focused on hospitalized patients. Presenting symptomatology in the outpatient setting was poorly characterized, making it difficult for primary care physicians to predict which patients would require hospitalization. The purpose of this study was to characterize the presenting symptoms of COVID-19 infection and baseline patient characteristics and evaluate for correlation with disease severity, duration, and chronicity in the outpatient setting. Methods: A total of 107 adult, English-speaking patients with suspected and confirmed COVID-19 cases at the 3 primary care practices of Stony Brook University Hospital were studied between March and December 2020. Survey data were collected from patient telephone interviews and electronic medical record abstraction. The potential risk factors assessed included participant demographics, medical comorbidities, and the number and type of symptoms at illness onset. Outcome measures included symptom duration, hospitalizations, and persistence of symptoms at 12 weeks from study enrollment. Results: Patient self-report survey elicited nearly twice as many symptoms described at illness onset as those recorded in the electronic medical record (p<0.0001). A higher number of symptoms at illness onset was positively associated with symptom duration and chronicity. The presence of fever and hypoxia at the onset of illness were each positively associated with eventual hospitalization for COVID-19 disease. Conclusions: Early in the setting of newly emerging infectious diseases, particularly those such as COVID-19 that involve multiple organ systems, patient self-report of symptoms using a complete review of systems rather than electronic medical record abstraction alone may be key for accurate disease identification and characterization as well as prediction of eventual disease severity, duration, and chronicity.

The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2.

Amid the COVID-19 pandemic, it has been reported that greater than 35% of patients with confirmed or suspected COVID-19 develop postacute sequelae of SARS CoV-2 (PASC). PASC is still a disease for which preliminary medical data are being collected-mostly measurements collected during hospital or clinical visits-and pathophysiological understanding is yet in its infancy. The disease is notable for its prevalence and its variable symptom presentation, and as such, management plans could be more holistically made if health care providers had access to unobtrusive home-based wearable and contactless continuous physiologic and physical sensor data. Such between-hospital or between-clinic data can quantitatively elucidate a majority of the temporal evolution of PASC symptoms. Although not universally of comparable accuracy to gold standard medical devices, home-deployed sensors offer great insights into the development and progression of PASC. Suitable sensors include those providing vital signs and activity measurements that correlate directly or by proxy to documented PASC symptoms. Such continuous, home-based data can give care providers contextualized information from which symptom exacerbation or relieving factors may be classified. Such data can also improve the collective academic understanding of PASC by providing temporally and activity-associated symptom cataloging. In this viewpoint, we make a case for the utilization of home-based continuous sensing that can serve as a foundation from which medical professionals and engineers may develop and pursue long-term mitigation strategies for PASC.

Patient survey superior to EMR extraction for eliciting positive symptoms at COVID-19 illness onset.

Context: COVID-19 has ravaged nations around the world, with New York City (NYC) and the NYC suburbs being particular epicenters of COVID-19 infection. Suffolk County, NY, has reported over 200,000 cases and 3,000 deaths to date. Most initial COVID-19 research concerned hospitalized patients. Presenting symptomology in the outpatient setting was poorly characterized, as were the implications of specific presenting symptoms, beyond respiratory distress or hypoxia, for eventual disease severity. This made it difficult for primary care physicians to predict which patients would require hospitalization for COVID-19 disease or decompensate while being managed at home during a time when hospital and ICU beds were limited. Objective: To characterize presenting symptoms of COVID-19 infection in the outpatient setting and evaluate for correlation with severity, duration, and chronicity of disease. Study Design and Analysis: We collected survey data from both patient telephone interviews and electronic medical record (EMR) extraction. Patient characteristics were described using means and percentages when appropriate. Percentage of symptoms by severity level, symptom duration, COVID-19 testing and escalating medical care were calculated. To evaluate association of risk factors with positive testing, severity, duration and chronicity of symptoms, logistic regression was used. Patient characteristics, medications and repeat measures were evaluated as risk factors in logistic regression. Setting or Dataset: 107 patients with suspected and confirmed COVID-19 cases at the 3 primary care practices of Stony Brook University Hospital between March and December, 2020. Population Studied: adult, English speaking primary care patients with suspected or confirmed COVID-19 Intervention/Instrument: patient self report telephone survey, EMR data extraction survey Outcome Measures: symptom duration, symptom severity, persistence of symptoms at 3 month time point Significant Results: Patient self-report survey elicited nearly twice as many symptoms described at illness onset vs. those recorded in the EMR. Conclusions: Early in the setting of newly emerging infectious diseases, particularly those such as COVID-19 which involve multiple organ systems, patient self report of symptoms of illness rather than EMR extraction alone may be crucial both for identifying cases and in order to characterize pathophysiology of disease in real time.

Inhaled nitric oxide in adults with in-hospital cardiac arrest: A feasibility study.

BACKGROUND: While inhaled nitric oxide (iNO) has revealed benefit in cardiac arrest in an animal model, no published data has yet demonstrated the impact of iNO in humans with cardiac arrest. METHODS: In this pilot study, we administered iNO, along with standard post-resuscitative care, in adults with in-hospital cardiac arrest (IHCA) following achievement of return of spontaneous circulation (ROSC) at an academic tertiary medical center. Patients receiving iNO were compared to age-matched controls with IHCA receiving standard care from an institutional registry. The primary outcome was survival to discharge; secondary outcome was favorable neurologic outcome, defined by a Glasgow Outcome Score of 4 or 5. Propensity-score (PS) matching analysis was performed between patients receiving iNO versus controls. RESULTS: Twenty adults with IHCA receiving iNO were compared to 199 controls with IHCA. Similar age, Charlson comorbidity index, and initial rhythm were noted in both groups. Patients receiving iNO had higher rates of survival to discharge compared to controls (35% vs 11%, p < 0.0001) but no difference in favorable neurologic outcome (15% vs 9%, p = 0.39) in the unmatched population. In the PS-matched analysis, patients receiving iNO had higher survival to discharge (35% vs 20%, p = 0.0344) than the control group but no difference in favorable neurologic outcome (15% vs 20%, p = 0.13) were noted between both groups. CONCLUSIONS: In this pilot study, iNO was associated with significantly higher rates of survival to discharge but not favorable neurologic outcome among patients with IHCA compared to controls. This benefit was also observed in the PS-matched analysis. A large scale randomized controlled trial comparing standard of care supplemented with iNO to standard of care alone is warranted in patients with cardiac arrest (Funded by Stony Brook University Renaissance School of Medicine, ClinicalTrials.gov number, NCT04134078).

A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions.

Opioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP). To discover trends and patterns of opioid poisoning and the demographic and regional disparities, we analyzed large scale patient visits data in New York State (NYS). Demographic, spatial, temporal and correlation analyses were performed for all OP patients extracted from the claims data in the New York Statewide Planning and Research Cooperative System (SPARCS) from 2010 to 2016, along with Decennial US Census and American Community Survey zip code level data. 58,481 patients with at least one OP diagnosis and a valid NYS zip code address were included. Main outcome and measures include OP patient counts and rates per 100,000 population, patient level factors (gender, age, race and ethnicity, residential zip code), and zip code level social demographic factors. The results showed that the OP rate increased by 364.6%, and by 741.5% for the age group > 65 years. There were wide disparities among groups by race and ethnicity on rates and age distributions of OP. Heroin and non-heroin based OP rates demonstrated distinct temporal trends as well as major geospatial variation. The findings highlighted strong demographic disparity of OP patients, evolving patterns and substantial geospatial variation.

Caregivers' perceptions of the relationship among weight, health status, and asthma in their children.

Asthma and obesity are the two most common childhood illnesses and are physiologically interrelated. Few studies have assessed parental perceptions and beliefs about this relationship to better target education and therapy. This study aimed to determine caregiver beliefs and perceptions regarding weight, health status, and asthma diagnoses. Data from a survey of caregivers to children aged 4-11 years are merged with corresponding anthropometric and medical data from the electronic medical record. Caregivers of children with asthma completed a supplemental questionnaire. Univariable and multivariable logistic regressions were used to evaluate associations between perception of health problem, asthma, and weight status. Increased weight status was ≥ 85th body mass index percentile per Centers for Disease Control classifications. Compared to caregivers of healthy children and those of children with healthy weight and asthma, caregivers of dual diagnosis children were more likely to identify weight as a health problem (OR = 3.89, 95% confidence interval [1.48, 10.21]). Nevertheless, only 31% of caregivers of children with dual diagnosis believed weight contributed to the severity of their child's asthma. Less than one third of caregivers of dual diagnosis children believed that these diagnoses are interrelated. Addressing this gap in understanding is a critical next step to developing family-centered interventions.

Tele-transitions of care (TTOC): a 12-month, randomized controlled trial evaluating the use of Telehealth to achieve triple aim objectives.

BACKGROUND: Poor transitions of care leads to increased health costs, over-utilization of emergency room departments, increased re-hospitalizations and causes poor patient experiences and outcomes. This study evaluated Telehealth feasibility in improving transitions of care. METHODS: This is a 12-month randomized controlled trial, evaluating the use of telehealth (remote patient monitoring and video visits) versus standard transitions of care with the primary outcomes of hospital readmission and emergency department utilization and secondary outcomes of access to care, medication management and adherence and patient engagement. Electronic Medical Record data, Health Information Exchange data and phone survey data was collected. Multi-variable logistic regression models were created to evaluate the effect of Telehealth on hospital readmission, emergency department utilization, medication adherence. Chi-square tests or Fisher's exact tests were used to compare the percentages of categorical variables between the Telehealth and control groups. T tests or Wilcoxon rank sum tests were used to compared means and medians between the two randomized groups. RESULTS: The study conducted between June 2017 and 2018, included 102 patients. Compared with the standard of care, Telehealth patients were more likely to have medicine reconciliation (p = 0.013) and were 7 times more likely to adhere to medication than the control group (p = 0.03). Telehealth patients exhibited enthusiasm (p = 0.0001), and confidence that Telehealth could improve their healthcare (p = 0.0001). Telehealth showed no statistical significance on emergency department utilization (p = 0.691) nor for readmissions (p = 0.31). 100% of Telehealth patients found the intervention to be valuable, 98% if given the opportunity, reported they would continue using telehealth to manage their healthcare needs, and 94% reported that the remote patient monitoring technology was useful. CONCLUSIONS: Telehealth can improve transitions of care after hospital discharge improving patient engagement and adherence to medications. Although this study was unable to show the effect of Telehealth on reduced healthcare utilization, more research needs to be done in order to understand the true impact of Telehealth on preventing avoidable hospital readmission and emergency department visits. TRIAL REGISTRATION: ClinicalTrials.Gov ID: NCT03528850 Date Registered (Retrospective): 5/18/2018. Status: Completed. IRB #: 970227.

Geographic, Temporal, and Sociodemographic Differences in Opioid Poisoning.

INTRODUCTION: Not enough is known about the epidemiology of opioid poisoning to tailor interventions to help address the growing opioid crisis in the U.S. The objective of this study is to expand the current understanding of opioid poisoning through the use of data analytics to evaluate geographic, temporal, and sociodemographic differences of opioid poisoning- related hospital visits in a region of New York State with high opioid poisoning rates. METHODS: This retrospective cohort study utilized patient-level New York State all-payer hospital data (2010-2016) combined with Census data to evaluate geographic, patient, and community factors for 9,714 Long Island residents with an opioid poisoning-related inpatient or outpatient hospital facility discharge. Temporal, 7-year opioid poisoning rates and trends were evaluated, and geographic maps were generated. Overall, significance tests and tests for linear trend were based upon logistic regression. Analyses were completed between 2017 and 2018. RESULTS: Since 2010, Long Island and New York State opioid poisoning hospital visit rates have increased 2.5- to 2.7-fold (p<0.001). Opioid poisoning hospital visit rates decreased for men, white patients, and self-payers (p<0.001) and increased for Medicare payers (p<0.001). Communities with high opioid poisoning rates had lower median home values, higher percentages of high school graduates, were younger, and more often white patients (p<0.01). Maps displayed geographic patterns of communities with high opioid poisoning rates overall and by age group. CONCLUSIONS: Findings highlight the changing demographics of the opioid poisoning epidemic and utility of data analytics tools to identify regions and patient populations to focus interventions. These population identification techniques can be applied in other communities and interventions.

Tele-transitions of care. A 12-month, parallel-group, superiority randomized controlled trial protocol, evaluating the use of telehealth versus standard transitions of care in the prevention of avoidable hospital readmissions.

INTRODUCTION: Comprehensive transitions of care, reduce dangerous hospital readmissions. Telehealth offers promise, however few guidelines aid clinicians in introducing it in a feasible way while addressing the needs of a multi-comorbid population. Physician adoptability remains a significant barrier to the use of Telehealth due to data overload, concerns for disruptive workflows and uncertain practices. The methods proposed aid clinicians in implementing Telehealth training and research with limited resources to reach patients who need clinical surveillance most. This study introduces a new workflow for addressing tele-transitions of care, using risk stratification, remote patient monitoring, and patient-centered virtual visits. We propose a new communication tool which facilitates adoption. We take a clinically meaningful approach in assessing avoidable hospital readmissions, which can lead to further quality improvements and improved patient care. METHODS: This study design is a parallel-group, superiority, randomized controlled trial in which 180 patients are enrolled in the standard of care or Telehealth arms and evaluated for 30-days post hospitalization. The Telehealth group receives daily vitals surveillance with a "teledoc", a senior resident physician, who performs weekly virtual visits. The endpoint is 30-day hospital readmission. Patient data is collected on hospital utilization, patient self-management, physician and patient experience. DISCUSSION: Our protocol introduces a novel study design with existing clinical trainees, to provide comprehensive tele-transitions of care to reduce avoidable readmissions.

Mobile health applications in cardiovascular research.

Cardiovascular disease is the leading cause of mortality and morbidity globally. With widespread and growing use of smart phones and mobile devices, the use of mobile health (mHealth) in transmission of physiologic parameters and patient-referred symptoms to healthcare providers and researchers, as well as reminders and care plan applications from providers to patients, has potential to revolutionize both clinical care and the conduct of clinical trials with improved designs, data capture, and potentially lower costs. In randomized early phase proof-of-concept studies, focusing on lifestyle intervention, there is evidence that mHealth technology can improve outcomes. By contrast, results from small randomized controlled trials that tested mHealth interventions in heart failure patients were disappointing with inconsistent findings. These inconclusive results could be partially attributed to a lack of methodological rigor (insufficient sample size, quasi-experimental design, inadequate mHealth equipment). Therefore, there is an urgent need to develop systematic evidence-based guidelines and parameters for mHealth to be effectively utilized in cardiovascular clinical trials.

Cerebral oximetry versus end tidal CO2 in predicting ROSC after cardiac arrest.

STUDY OBJECTIVE: Both end tidal CO2 (ETCO2) and cerebral oxygen saturations (rSO2) have been studied to determine their ability to monitor the effectiveness of CPR and predict return of spontaneous circulation (ROSC). We compared the accuracy of ETCO2 and rSO2 at predicting ROSC in ED patients with out-of-hospital cardiac arrest (OHCA). METHODS: We performed a prospective, observational study of adult ED patients presenting in cardiac arrest. We collected demographic and clinical data including age, gender, presenting rhythm, rSO2, and ETCO2. We used receiver operating characteristic curves to compare how well rSO2 and ETCO2 predicted ROSC. RESULTS: 225 patients presented to the ED with cardiac arrest between 10/11 and 10/14 of which 100 had both rSO2 and ETCO2 measurements. Thirty three patients (33%) had sustained ROSC, only 2 survived to discharge. The AUCs for rSO2 and ETCO2 were similar (0.69 [95% CI, 0.59-0.80] and 0.77 [95% CI, 0.68-0.86], respectively), however, rSO2 and ETCO2 were poorly correlated (0.12, 95% CI, -0.08-0.31). The optimal cutoffs for rSO2 and ETCO2 were 50% and 20mm Hg respectively. At these cutoffs, ETCO2 was more sensitive (100%, 95% CI 87-100 vs. 48%, 31-66) but rSO2 was more specific (85%, 95% CI, 74-92 vs. 45%, 33-57). CONCLUSIONS: While poorly correlated, rSO2 and ETCO2 have similar diagnostic characteristics. ETCO2 is more sensitive and rSO2 is more specific at predicting ROSC in OHCA.

Association of Arterial Oxygen Tension During In-Hospital Cardiac Arrest With Return of Spontaneous Circulation and Survival.

BACKGROUND: Despite numerous advances in the delivery of resuscitative care, in-hospital cardiac arrest (IHCA) continues to be associated with high morbidity and mortality. We sought to study the impact of arterial oxygen tension (Pao2) on return of spontaneous circulation (ROSC) and survival to discharge in patients with IHCA. METHODS: The study population included 255 consecutive patients who underwent advanced cardiac life support-guided resuscitation from January 2012 to December 2013 for IHCA at an academic tertiary medical center. Of these patients, 167 underwent arterial blood gas testing at the time of the arrest. Baseline demographic, clinical, laboratory, and clinical outcome data were recorded. The primary outcome of interest was survival to hospital discharge. Secondary outcome of interest was presence of ROSC. RESULTS: Of the 167 patients studied, Pao2 categorization included the following: Pao2 < 60 mm Hg (n = 38), Pao2 of 60-92 mm Hg (n = 44), Pao2 of 93 to 159 mm Hg (n = 43), Pao2 of 160 to 299 mm Hg (n = 24), and Pao2 ≥ 300 mm Hg (n = 18). Patients with higher Pao2 levels during the time of cardiac arrest were noted to have higher rates of hypertension and chronic kidney disease. Clinical presentation of IHCA, in particular, the initial rhythm, location of IHCA, and duration of cardiopulmonary resuscitation, was similar in all groups. Patients with higher Pao2 levels had higher platelet count, higher arterial pH, and lower arterial carbon dioxide tension (Pco2). With respect to outcomes, patients with higher intra-arrest Pao2 levels had progressively higher rates of ROSC (58% vs 71% vs 72% vs 79% vs 100%, P = .021) and survival to discharge (16% vs 23% vs 30% vs 33% vs 56%, P = .031). In multivariate analysis, Pao2 ≥ 300 mm Hg was independently associated with higher survival to discharge (odds ratio 60.68; 95% confidence interval: 3.04-1210.28; P = .007; referent Pao2 < 60 mm Hg). CONCLUSION: Higher intra-arrest Pao2 is independently associated with higher rates of survival to discharge in adults with IHCA.

Combining Activity Trackers With Motivational Interviewing and Mutual Support to Increase Physical Activity in Parent-Adolescent Dyads: Longitudinal Observational Feasibility Study.

BACKGROUND: An essential component of any effective adolescent weight management program is physical activity (PA). PA levels drop dramatically in adolescence, contributing to the rising prevalence of adolescent obesity. Therefore, finding innovative interventions to address this decline in PA may help adolescents struggling with weight issues. The growing field of health technology provides potential solutions for addressing chronic health issues and lifestyle change, such as adolescent obesity. Activity trackers, used in conjunction with smartphone apps, can engage, motivate, and foster support among users while simultaneously providing feedback on their PA progress. OBJECTIVE: The objective of our study was to evaluate the effect of a 10-week pilot study using smartphone-enabled activity tracker data to tailor motivation and goal setting on PA for overweight and obese adolescents and their parents. METHODS: We queried enrolled adolescents, aged 14 to 16 years, with a body mass index at or above the 85th percentile, and 1 of their parents as to behaviors, barriers to change, and perceptions about exercise and health before and after the intervention. We captured daily step count and active minutes via activity trackers. Staff made phone calls to dyads at weeks 1, 2, 4, and 8 after enrollment to set daily personalized step-count and minutes goals based on their prior data and age-specific US national guidelines. We evaluated dyad correlations using nonparametric Spearman rank order correlations. RESULTS: We enrolled 9 parent-adolescent dyads. Mean adolescent age was 15 (SD 0.9) years (range 14-16 years; 4 female and 5 male participants); mean parent age was 47 (SD 8.0) years (range 36-66 years). On average, adolescents met their personalized daily step-count goals on 35% (range 11%-62%) of the days they wore their trackers; parents did so on 39% (range 3%-68%) of the days they wore their trackers. Adolescents met their active-minutes goals on 55% (range 27%-85%) of the days they wore their trackers; parents did so on 83% (range 52%-97%) of the days. Parent and adolescent success was strongly correlated (step count: r=.36, P=.001; active minutes: r=.30, P=.007). Parental age was inversely correlated with step-count success (r=-.78, P=.01). CONCLUSIONS: Our findings illustrate that parent-adolescent dyads have highly correlated PA success rates. This supports further investigation of family-centered weight management interventions for adolescents, particularly those that involve the parent and the adolescent working together.

Spatio-temporal Analysis for New York State SPARCS Data.

Increased accessibility of health data provides unique opportunities to discover spatio-temporal patterns of diseases. For example, New York State SPARCS (Statewide Planning and Research Cooperative System) data collects patient level detail on patient demographics, diagnoses, services, and charges for each hospital inpatient stay and outpatient visit. Such data also provides home addresses for each patient. This paper presents our preliminary work on spatial, temporal, and spatial-temporal analysis of disease patterns for New York State using SPARCS data. We analyzed spatial distribution patterns of typical diseases at ZIP code level. We performed temporal analysis of common diseases based on 12 years' historical data. We then compared the spatial variations for diseases with different levels of clustering tendency, and studied the evolution history of such spatial patterns. Case studies based on asthma demonstrated that the discovered spatial clusters are consistent with prior studies. We visualized our spatial-temporal patterns as animations through videos.

Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State.

Opioid related deaths are increasing dramatically in recent years, and opioid epidemic is worsening in the United States. Combating opioid epidemic becomes a high priority for both the U.S. government and local governments such as New York State. Analyzing patient level opioid related hospital visits provides a data driven approach to discover both spatial and temporal patterns and identity potential causes of opioid related deaths, which provides essential knowledge for governments on decision making. In this paper, we analyzed opioid poisoning related hospital visits using New York State SPARCS data, which provides diagnoses of patients in hospital visits. We identified all patients with primary diagnosis as opioid poisoning from 2010-2014 for our main studies, and from 2003-2014 for temporal trend studies. We performed demographical based studies, and summarized the historical trends of opioid poisoning. We used frequent item mining to find co-occurrences of diagnoses for possible causes of poisoning or effects from poisoning. We provided zip code level spatial analysis to detect local spatial clusters, and studied potential correlations between opioid poisoning and demographic and social-economic factors.

Changes in diabetes medications in the Diabetes and Periodontal Therapy Trial and their effect on hemoglobin A1c (HbA1c).

OBJECTIVE: Evaluate the effect of medications and medication changes during the Diabetes and Periodontal Therapy Trial (DPTT) on the primary study outcome, namely, change in hemoglobin A1c (HbA1c) at 6months following baseline. METHODS: The DPTT set strict criteria for changes in diabetes medications. Medication change was defined as: change in dose of any 1 oral hypoglycemic agent by more than two-fold, change in dose of insulin of >10% and/or addition or subtraction of an oral hypoglycemic agent, insulin or non-insulin injectable agents. Comparisons between the treatment (non- surgical periodontal therapy) and control (no therapy) groups used t-tests for continuous variables and chi-square tests for categorical variables, including DPTT defined diabetes medication changes between baseline (BL) and 3month visits and 3- and 6-month visits. Changes in HbA1c were compared across the four medication change categories using ANOVA models, overall and for each treatment group separately. RESULTS: Baseline medication use was similar between the treatment groups (p>0.40), as were medication changes between BL- 3month visits and 3 and 6month visits (p=0.58). Participants with higher BL HbA1c (>8%) and those taking insulin at BL were more likely to have a change in medication (p=0.03). CONCLUSIONS: The DPTT had the most rigorous definition of medication changes and medication monitoring of any trial in this field to date. The absence of a significant difference in medication changes between treatment groups may suggest that such changes did not play a role in the negative outcome of the DPTT.

Cerebral Oximetry During Cardiac Arrest: A Multicenter Study of Neurologic Outcomes and Survival.

OBJECTIVES: Cardiac arrest is associated with morbidity and mortality because of cerebral ischemia. Therefore, we tested the hypothesis that higher regional cerebral oxygenation during resuscitation is associated with improved return of spontaneous circulation, survival, and neurologic outcomes at hospital discharge. We further examined the validity of regional cerebral oxygenation as a test to predict these outcomes. DESIGN: Multicenter prospective study of in-hospital cardiac arrest. SETTING: Five medical centers in the United States and the United Kingdom. PATIENTS: Inclusion criteria are as follows: in-hospital cardiac arrest, age 18 years old or older, and prolonged cardiopulmonary resuscitation greater than or equal to 5 minutes. Patients were recruited consecutively during working hours between August 2011 and September 2014. Survival with a favorable neurologic outcome was defined as a cerebral performance category 1-2. INTERVENTIONS: Cerebral oximetry monitoring. MEASUREMENTS AND MAIN RESULTS: Among 504 in-hospital cardiac arrest events, 183 (36%) met inclusion criteria. Overall, 62 of 183 (33.9%) achieved return of spontaneous circulation, whereas 13 of 183 (7.1%) achieved cerebral performance category 1-2 at discharge. Higher mean ± SD regional cerebral oxygenation was associated with return of spontaneous circulation versus no return of spontaneous circulation (51.8% ± 11.2% vs 40.9% ± 12.3%) and cerebral performance category 1-2 versus cerebral performance category 3-5 (56.1% ± 10.0% vs 43.8% ± 12.8%) (both p < 0.001). Mean regional cerebral oxygenation during the last 5 minutes of cardiopulmonary resuscitation best predicted the return of spontaneous circulation (area under the curve, 0.76; 95% CI, 0.69-0.83); regional cerebral oxygenation greater than or equal to 25% provided 100% sensitivity (95% CI, 94-100) and 100% negative predictive value (95% CI, 79-100); regional cerebral oxygenation greater than or equal to 65% provided 99% specificity (95% CI, 95-100) and 93% positive predictive value (95% CI, 66-100) for return of spontaneous circulation. Time with regional cerebral oxygenation greater than 50% during cardiopulmonary resuscitation best predicted cerebral performance category 1-2 (area under the curve, 0.79; 95% CI, 0.70-0.88). Specifically, greater than or equal to 60% cardiopulmonary resuscitation time with regional cerebral oxygenation greater than 50% provided 77% sensitivity (95% CI,:46-95), 72% specificity (95% CI, 65-79), and 98% negative predictive value (95% CI, 93-100) for cerebral performance category 1-2. CONCLUSIONS: Cerebral oximetry allows real-time, noninvasive cerebral oxygenation monitoring during cardiopulmonary resuscitation. Higher cerebral oxygenation during cardiopulmonary resuscitation is associated with return of spontaneous circulation and neurologically favorable survival to hospital discharge. Achieving higher regional cerebral oxygenation during resuscitation may optimize the chances of cardiac arrest favorable outcomes.

Systemic Inflammatory Biomarkers and Their Association With Periodontal and Diabetes-Related Factors in the Diabetes and Periodontal Therapy Trial, A Randomized Controlled Trial.

BACKGROUND: The present study evaluates effects of non-surgical periodontal treatment on serum biomarkers in patients with type 2 diabetes mellitus (t2DM) and chronic periodontitis who participated in the Diabetes and Periodontal Therapy Trial (DPTT); and associations among diabetes markers, serum biomarkers, and periodontal measures in these patients. METHODS: DPTT participants randomized to receive immediate or delayed non-surgical periodontal therapy were evaluated at baseline and 6 months. Serum samples from 475 participants with 6-month data were analyzed for the following biomarkers: 1) high sensitivity C-reactive protein; 2) E-selectin; 3) tumor necrosis factor (TNF)-α; 4) vascular cell adhesion molecule (VCAM); 5) interleukin (IL)-6; 6) IL-8; 7) intercellular adhesion molecule; and 8) IL-10. Changes in biomarker levels from baseline and correlations among biomarker levels and clinical findings were analyzed. RESULTS: No differences between treatment and control groups were observed for any biomarkers at baseline or 6 months (P >0.05 for all variables). VCAM levels increased by an average (standard deviation) of 17.9 (99.5); ng/mL (P = 0.006) and E-selectin decreased by 2.33 (16.08) ng/mL (P = 0.03) in the treatment group after 6 months. E-selectin levels were significantly correlated with DM-related variables (hemoglobin A1c [HbA1c] and fasting glucose) at baseline and with 6-month change in both groups; no significant correlations were found among periodontal clinical parameters and serum biomarkers or DM-related variables. Neither HbA1c or body mass index varied during the study period in either study group. CONCLUSIONS: Non-surgical periodontal therapy and periodontal disease severity were not associated with significant changes in serum biomarkers in DPTT participants during the 6-month follow-up. Correlations among changes in E-selectin, IL-6, and DM-related variables suggest that t2DM may be the primary driver of systemic inflammation in these patients.

Word on the Street: Engaging Local Leaders in a Dialogue About Prostate Cancer Among African Americans.

African American men face the highest rates of prostate cancer, yet with no consensus for screening and treatment, making informed health care decisions is difficult. This study aimed to identify approaches to empowering African American men as proactive participants in prostate cancer decision making using an established community-campus partnership employing elements of community-based participatory research methods. Community stakeholders with an interest in, and knowledge about, health care in two local African American communities were recruited and completed key informant interviews (N = 39). Grounded theory coding identified common themes related to prostate cancer knowledge, beliefs, attitudes, and responses to them. Common barriers such as gender roles, fear, and fatalism were identified as barriers to work-up and treatment, and both communities' inadequate and inaccurate prostate cancer information described as the key problem. To build on community strengths, participants said the change must come from inside these communities, not be imposed from the outside. To accomplish this, they suggested reaching men through women, connecting men to doctors they can trust, making men's cancer education part of broader health education initiatives designed as fun and inexpensive family entertainment events, and having churches bring community members in to speak on their experiences with cancer. This study demonstrated the success of community engagement to identify not only barriers but also local strengths and facilitators to prostate cancer care in two suburban/rural African American communities. Building collaboratively on community strengths may improve prostate cancer care specifically and health care in general.

Venoarterial Extracorporeal Membrane Oxygenation in Adults With Cardiac Arrest.

Cardiac arrest (CA) is a major cause of morbidity and mortality worldwide. Despite the use of conventional cardiopulmonary resuscitation (CPR), rates of return of spontaneous circulation and survival with minimal neurologic impairment remain low. Utilization of venoarterial extracorporeal membrane oxygenation (ECMO) for CA in adults is steadily increasing. Propensity-matched cohort studies have reported outcomes associated with ECMO use to be superior to that of conventional CPR alone in in-hospital patients with CA. In this review, we discuss the mechanism, indications, complications, and evidence for ECMO in CA in adults.