Predicting falls within 3 months of emergency department discharge among community-dwelling older adults using self-report tools versus a brief functional assessment.

BACKGROUND: Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention interventions, yet ED-based tools to assist risk stratification are under-developed. The aim of this study was to assess the performance of self-report and functional assessments to predict falls in the 3 months post-ED discharge for older adults. METHODS: A prospective cohort of community-dwelling adults age 60 years and older were recruited from one urban ED (N = 134). Participants completed: a single item screen for mobility (SIS-M), the 12-item Stay Independent Questionnaire (SIQ-12), and the Timed Up and Go test (TUG). Falls were defined through self-report of any fall at 1- and 3-months and medical record review for fall-related injury 3-months post-discharge. We developed a hybrid-convolutional recurrent neural network (HCRNN) model of gait and balance characteristics using truncal 3-axis accelerometry collected during the TUG. Internal validation was conducted using bootstrap resampling with 1000 iterations for SIS-M, FRQ, and GUG and leave-one-out for the HCRNN. We compared performance of M-SIS, FRQ, TUG time, and HCRNN by calculating the area under the receiver operating characteristic area under the curves (AUCs). RESULTS: 14 (10.4%) of participants met our primary outcome of a fall or fall-related injury within 3-months. The SIS-M had an AUC of 0.42 [95% confidence interval (CI) 0.19-0.65]. The SIQ-12 score had an AUC of 0.64 [95% confidence interval (CI) 0.49-0.80]. The TUG had an AUC of 0.48 (95% CI 0.29-0.68). The HCRNN model using generated accelerometer features collected during the TUG had an AUC of 0.99 (95% CI 0.98-1.00). CONCLUSION: We found that self-report and functional assessments lack sufficient accuracy to be used in isolation in the ED. A neural network model using accelerometer features could be a promising modality but research is needed to externally validate these findings.

Adolescent alcohol use predicts cannabis use over a three year follow-up period.

Background: Alcohol and cannabis use frequently co-occur, which can result in problems from social and academic impairment to dependence (i.e., alcohol use disorder [AUD] and/or cannabis use disorder [CUD]). The Emergency Department (ED) is an excellent site to identify adolescents with alcohol misuse, conduct a brief intervention, and refer to treatment; however, given time constraints, alcohol use may be the only substance assessed due to its common role in unintentional injury. The current study, a secondary data analysis, assessed the relationship between adolescent alcohol and cannabis use by examining the National Institute of Alcohol Abuse and Alcoholism (NIAAA) two question screen's (2QS) ability to predict future CUD at one, two, and three years post-ED visit. Methods: At baseline, data was collected via tablet self-report surveys from medically and behaviorally stable adolescents 12-17 years old (n = 1,689) treated in 16 pediatric EDs for non-life-threatening injury, illness, or mental health condition. Follow-up surveys were completed via telephone or web-based survey. Logistic regression compared CUD diagnosis odds at one, two, or three-year follow-up between levels constituting a single-level change in baseline risk categorization on the NIAAA 2QS (nondrinker versus low-risk, low- versus moderate-risk, moderate- versus high-risk). Receiver operating characteristic curve methods examined the predictive ability of the baseline NIAAA 2QS cut points for CUD at one, two, or three-year follow-up. Results: Adolescents with low alcohol risk had significantly higher rates of CUD versus nondrinkers (OR range: 1.94-2.76, p < .0001). For low and moderate alcohol risk, there was no difference in CUD rates (OR range: 1.00-1.08). CUD rates were higher in adolescents with high alcohol risk versus moderate risk (OR range: 2.39-4.81, p < .05). Conclusions: Even low levels of baseline alcohol use are associated with risk for a later CUD. The NIAAA 2QS is an appropriate assessment measure to gauge risk for future cannabis use.

Nudging Emergency Care Providers to Reduce Opioid Prescribing Using Peer Norm Comparison Feedback: A Pilot Randomized Trial.

OBJECTIVE: To determine the feasibility, acceptability, and potential impact of using audit and feedback (A&F) with or without peer norm comparison on opioid prescribing by emergency medicine providers. METHODS: A convenience sample of 37 emergency medicine providers were recruited from 16 emergency departments in Western Pennsylvania for a pilot randomized controlled trial. Participants completed a baseline survey, were randomly allocated to A&F (N = 17) or A&F with peer norm comparison (N = 20), and were asked to complete a postintervention survey. We matched each participant 1:1 to a control who was not exposed to either intervention. RESULTS: At baseline, 57% of participants perceived that they prescribed opioids at the same frequency as their peers, whereas 32% perceived prescribing less than and 11% perceived prescribing more than their peers. Most participants rated the interventions as helpful, with no differences between conditions. For the A&F with peer norm comparison condition, from pre- to postintervention, there was a relative increase of 20% in the percentage of participants who perceived that they prescribed more opioids than their peers but no change in the A&F condition (P = 0.02). 56.8% of controls, 52.9% of A&F participants, and 75.5% of A&F with peer norm comparison participants reduced their opioid prescribing (P = 0.33). The mean reduction in opioid prescriptions (SD) was 3.3. (9.6) for controls, 3.9 (10.5) for A&F, and 7.3 (7.8) for A&F with peer norm comparison (P = 0.31). CONCLUSIONS: Audit and feedback interventions with peer norm comparisons are helpful to providers, can alter perceptions about prescribing norms, and are a potentially effective way to alter ED providers' opioid prescribing behavior.

How Are Real-time Opioid Prescribing Cognitions by Emergency Providers Influenced by Reviewing the State Prescription Drug Monitoring Program?

OBJECTIVE: To understand how real-time opioid prescribing cognitions by emergency medicine (EM) providers are influenced by review of the state prescription drug monitoring program (PDMP). METHODS: We collected prospective data from a convenience sample of 103 patient encounters for pain from 23 unique EM providers. After seeing the patient, before and immediately after reviewing the PDMP, EM providers answered how much they thought "the patient need[ed] an opioid to help manage their pain?", how concerned they were "about drug abuse and/or diversion?", and whether they planned to prescribe an opioid (yes/no). If they changed their decision to prescribe after querying the PDMP, they were asked to provide comments. We categorized encounters by opioid prescribing plan before/after PDMP review (e.g., O+/O- means plan changed from "yes" to "no") and examined changes in cognitions across categories. RESULTS: Ninety-two of 103 (89.3%) encounters resulted in no change in opioid prescribing plan (61/92 [66.3%] O+/O+; 31/92 [33.7%] O-/O-). For the four O+/O- encounters, perceived patient opioid need decreased 75% of the time and concern for opioid abuse and/or diversion increased 75% of time. For the seven O-/O+ encounters, providers reported increased perceived patient opioid need 28.6% of the time and decreased concern for opioid abuse and/or diversion 14.3% of time. CONCLUSIONS: PDMP data rarely alter plans to prescribe an opioid among emergency providers. When changes in opioid prescribing plan were made, this was reflected by changes in cognitions. Findings support the need for a properly powered study to identify how specific PDMP findings alter prescribing cognitions.

Screening for Adolescent Alcohol Use in the Emergency Department: What Does It Tell Us About Cannabis, Tobacco, and Other Drug Use?

BACKGROUND: The pediatric emergency department (PED) represents an opportune time for alcohol and drug screening. The National Institute of Alcohol Abuse and Alcoholism (NIAAA) recommends a two-question alcohol screen for adolescents as a predictor of alcohol and drug misuse. OBJECTIVE: A multi-site PED study was conducted to determine the association between the NIAAA two-question alcohol screen and adolescent cannabis use disorders (CUD), cigarette smoking, and lifetime use of other drugs. METHODS: Participants included 12-17-year olds (n = 4834) treated in one of 16 participating PEDs. An assessment battery, including the NIAAA two-question screen and other measures of alcohol, tobacco and drug use, was self-administered on a tablet computer. RESULTS: A diagnosis of CUD, lifetime tobacco use or lifetime drug use was predicted by any self-reported alcohol use in the past year, which indicates a classification of moderate risk for middle school ages and low risk for high school ages on the NIAAA two-question screen. Drinking was most strongly predictive of a CUD, somewhat weaker for lifetime tobacco use, and weakest for lifetime drug use. This same pattern held for high school and middle school students and was stronger for high school students over middle school students for all three categories. This association was also found across gender, ethnicity and race. The association was strongest for CUD for high school students, sensitivity 81.7% (95% CI, 77.0, 86.5) and specificity 70.4% (95% CI, 68.6, 72.1). Conclusions/Importance: A single question about past year alcohol use can provide valuable information about other substance use, particularly marijuana.

Methodology and Demographics of a Brief Adolescent Alcohol Screen Validation Study.

OBJECTIVE: The aim of this study was to determine the psychometric properties of the National Institute on Alcohol Abuse and Alcoholism (NIAAA) 2-question alcohol screen within 16 Pediatric Emergency Care Applied Research Network pediatric emergency departments. This article describes the study methodology, sample characteristics, and baseline outcomes of the NIAAA 2-question screen. METHODS: Participants included 12- to 17-year-olds treated in one of the participating pediatric emergency departments across the United States. After enrollment, a criterion assessment battery including the NIAAA 2-question screen and other measures of alcohol, drug use, and risk behavior was self-administered by participants on a tablet computer. Two subsamples were derived from the sample. The first subsample was readministered the NIAAA 2-question screen 1 week after their initial visit to assess test-retest reliability. The second subsample is being reassessed at 12 and 24 months to examine predictive validity of the NIAAA 2-question screen. RESULTS: There were 4834 participants enrolled into the study who completed baseline assessments. Participants were equally distributed across sex and age. Forty-six percent of the participants identified as white, and 26% identified as black. Approximately one quarter identified as Hispanic. Using the NIAAA 2-question screen algorithm, approximately 8% were classified as low risk, 12% were classified as moderate risk, and 4% were classified as highest risk. Alcohol use was less likely to be reported by black participants, non-Hispanic participants, and those younger than 16 years. DISCUSSION: This study successfully recruited a large, demographically diverse sample to establish rates of the NIAAA screen risk categories across age, sex, ethnicity, and race within pediatric emergency departments.

Feasibility and Acceptability of a Motivational Intervention Combined with Text Messaging for Alcohol and Sex Risk Reduction with Emergency Department Patients: A Pilot Trial.

BACKGROUND: Interventions aimed at reducing co-occurring heavy drinking and risky sexual behavior among Emergency Department (ED) patients require feasibility and acceptability to optimally engage individuals. OBJECTIVES: This pilot study explored the feasibility and acceptability of an interactive text-messaging (TM) supplement to a brief in-person intervention previously found successful in reducing alcohol use and condomless sex. METHODS: Using a mixed-method design, ED patients with past hazardous alcohol use and condomless sex (N= 20) were randomly assigned to receive either a Motivational Intervention + TM or Brief Advice + TM. All participants completed exit interviews at four weeks follow-up, and transcripts were transcribed and coded to identify themes. We evaluated feasibility through quantitative assessment of TM response rates and latency to response, while acceptability was evaluated through thematic analysis of exit interviews. RESULTS: Findings provide support for the delivery of an integrated and personalized MI and TM. Participants engaged positively with the TM intervention and qualitative interviews offered strong support for the acceptability while offering information necessary to enhance the TM component. CONCLUSIONS: Integrating MI with TM is feasible and acceptable to at-risk ED patients and could facilitate behavior changes beyond MI alone.

Effectiveness and treatment moderators of internet interventions for adult problem drinking: An individual patient data meta-analysis of 19 randomised controlled trials.

BACKGROUND: Face-to-face brief interventions for problem drinking are effective, but they have found limited implementation in routine care and the community. Internet-based interventions could overcome this treatment gap. We investigated effectiveness and moderators of treatment outcomes in internet-based interventions for adult problem drinking (iAIs). METHODS AND FINDINGS: Systematic searches were performed in medical and psychological databases to 31 December 2016. A one-stage individual patient data meta-analysis (IPDMA) was conducted with a linear mixed model complete-case approach, using baseline and first follow-up data. The primary outcome measure was mean weekly alcohol consumption in standard units (SUs, 10 grams of ethanol). Secondary outcome was treatment response (TR), defined as less than 14/21 SUs for women/men weekly. Putative participant, intervention, and study moderators were included. Robustness was verified in three sensitivity analyses: a two-stage IPDMA, a one-stage IPDMA using multiple imputation, and a missing-not-at-random (MNAR) analysis. We obtained baseline data for 14,198 adult participants (19 randomised controlled trials [RCTs], mean age 40.7 [SD = 13.2], 47.6% women). Their baseline mean weekly alcohol consumption was 38.1 SUs (SD = 26.9). Most were regular problem drinkers (80.1%, SUs 44.7, SD = 26.4) and 19.9% (SUs 11.9, SD = 4.1) were binge-only drinkers. About one third were heavy drinkers, meaning that women/men consumed, respectively, more than 35/50 SUs of alcohol at baseline (34.2%, SUs 65.9, SD = 27.1). Post-intervention data were available for 8,095 participants. Compared with controls, iAI participants showed a greater mean weekly decrease at follow-up of 5.02 SUs (95% CI -7.57 to -2.48, p < 0.001) and a higher rate of TR (odds ratio [OR] 2.20, 95% CI 1.63-2.95, p < 0.001, number needed to treat [NNT] = 4.15, 95% CI 3.06-6.62). Persons above age 55 showed higher TR than their younger counterparts (OR = 1.66, 95% CI 1.21-2.27, p = 0.002). Drinking profiles were not significantly associated with treatment outcomes. Human-supported interventions were superior to fully automated ones on both outcome measures (comparative reduction: -6.78 SUs, 95% CI -12.11 to -1.45, p = 0.013; TR: OR = 2.23, 95% CI 1.22-4.08, p = 0.009). Participants treated in iAIs based on personalised normative feedback (PNF) alone were significantly less likely to sustain low-risk drinking at follow-up than those in iAIs based on integrated therapeutic principles (OR = 0.52, 95% CI 0.29-0.93, p = 0.029). The use of waitlist control in RCTs was associated with significantly better treatment outcomes than the use of other types of control (comparative reduction: -9.27 SUs, 95% CI -13.97 to -4.57, p < 0.001; TR: OR = 3.74, 95% CI 2.13-6.53, p < 0.001). The overall quality of the RCTs was high; a major limitation included high study dropout (43%). Sensitivity analyses confirmed the robustness of our primary analyses. CONCLUSION: To our knowledge, this is the first IPDMA on internet-based interventions that has shown them to be effective in curbing various patterns of adult problem drinking in both community and healthcare settings. Waitlist control may be conducive to inflation of treatment outcomes.

Postconcussive Symptoms Over the First 14 Days After Mild Traumatic Brain Injury: An Experience Sampling Study.

OBJECTIVE: This study examined changes in postconcussive symptoms (PCS) over the acute postinjury recovery period, focusing on how daily PCSs differ between mild traumatic brain injury (mTBI) and other injury types. SETTING: An urban emergency department (ED) in Western Pennsylvania. SUBJECTS: A total of 108 adult patients with trauma being discharged from the ED were recruited and grouped by injury type: mild TBI (mTBI; n = 39), head injury without mTBI (HI: n = 16), and non-head-injured trauma controls (TCs: n = 53). MAIN MEASURES: Subjects completed a baseline assessment and an experience sampling method (ESM) protocol for 14 consecutive days postinjury: outcomes were daily reports of headaches, anxiety, and concentration difficulties. RESULTS: Controlling for confounders, multilevel modeling revealed greater odds of headache and concentration difficulties on day 1 postinjury among the HI and mTBI groups (vs TCs). These odds decreased over time, with greater reductions for the HI and mTBI groups compared with TCs. By day 14, there were no group differences in PCS. In addition, only the HI group reported higher initial levels of anxiety and a steeper slope relative to TCs. CONCLUSION: Patients with HI, regardless of whether they meet the American Congress of Rehabilitation Medicines definition of mTBI, have higher odds of typical PCS immediately postinjury, but faster rates of recovery than TCs. ESM can improve understanding the dynamic nature of postinjury PCS.

Can an app help identify psychomotor function impairments during drinking occasions in the real world? A mixed-method pilot study.

BACKGROUND: Being able to measure the acute effects of alcohol consumption on psychomotor functions in natural settings could be useful in injury prevention interventions. This study examined the feasibility and acceptability of collecting app-based measures of information processing, working memory, and gait stability during times of typical alcohol consumption among young adults. METHODS: Ten young adults (aged 21-26) with hazardous drinking completed a baseline assessment and ecological momentary assessments (EMA) on 4 consecutive Fridays and Saturdays, every hour from 8 pm to 12 am. EMA assessed alcohol consumption and perceived intoxication, followed by a digit symbol substitution task (DSST), a visuospatial working memory task (VSWMT), and a 5-step tandem gait task (TGT). Exit interviews probed user experiences. Multilevel models explored relationships between estimated blood alcohol concentration (eBAC; mg/dL) and DSST and VSWMT performance. RESULTS: Participants completed 32% of EMA. Higher rates of noninitiation occurred later in the evening and over time. In multilevel models, higher eBAC was associated with lower DSST scores. Eight out of 10 individuals had at least 1 drinking occasion when they did not perceive any intoxication. Lower DSST scores would identify impairment in 45% of these occasions. Exit interviews indicated that adding real-time feedback on task performance could increase awareness of alcohol effects. CONCLUSIONS: Collecting app-based psychomotor performance data from young adults during drinking occasions is feasible and acceptable, but strategies to reduce barriers to task initiation are needed. Mobile DSST is sensitive to eBAC levels and could identify occasions when an individual may not perceive impairments.

An Artificial Neural Network for Movement Pattern Analysis to Estimate Blood Alcohol Content Level.

Impairments in gait occur after alcohol consumption, and, if detected in real-time, could guide the delivery of "just-in-time" injury prevention interventions. We aimed to identify the salient features of gait that could be used for estimating blood alcohol content (BAC) level in a typical drinking environment. We recruited 10 young adults with a history of heavy drinking to test our research app. During four consecutive Fridays and Saturdays, every hour from 8 p.m. to 12 a.m., they were prompted to use the app to report alcohol consumption and complete a 5-step straight-line walking task, during which 3-axis acceleration and angular velocity data was sampled at a frequency of 100 Hz. BAC for each subject was calculated. From sensor signals, 24 features were calculated using a sliding window technique, including energy, mean, and standard deviation. Using an artificial neural network (ANN), we performed regression analysis to define a model determining association between gait features and BACs. Part (70%) of the data was then used as a training dataset, and the results tested and validated using the rest of the samples. We evaluated different training algorithms for the neural network and the result showed that a Bayesian regularization neural network (BRNN) was the most efficient and accurate. Analyses support the use of the tandem gait task paired with our approach to reliably estimate BAC based on gait features. Results from this work could be useful in designing effective prevention interventions to reduce risky behaviors during periods of alcohol consumption.

Using Video Conferencing to Deliver a Brief Motivational Intervention for Alcohol and Sex Risk to Emergency Department Patients: A Proof-of-Concept Pilot Study.

Brief motivational intervention (MI) is an efficacious approach to reduce heavy drinking and associated sexual risk behavior among Emergency Department (ED) patients, but the intensity of demands placed on ED staff makes the implementation of in-person MIs logistically challenging. This proof-of-concept pilot study examined the acceptability and logistic feasibility of using video-conferencing technology to deliver an MI targeting heavy drinking and risky sexual behavior to patients in an ED setting. Rigorous screening procedures were employed to ensure that the pilot sample represents the target portion of ED patients who would benefit from this multi-target MI. Mixed qualitative and quantitative data from a sample of seven ED patients (57% Female; Mage = 35 years) who received MI by video conference consistently demonstrated high levels of satisfaction, engagement, and acceptability. The observed completion rate supports logistic feasibility, and patient feedback identified methods to improve the experience by using high-definition hardware, ensuring stronger network connectivity, and effectively communicating information regarding protection of privacy. Post-intervention patient ratings and independent ratings of the audio-recorded sessions (using the Motivational Interviewing Skills Coding system) were very high, suggesting that intervention fidelity and MI adherence was not compromised by delivery modality. Collectively, these data suggest video conferencing is a viable technology that can be employed to implement brief evidence-based MIs in ED settings.

Characteristics and Outcomes of Blood Product Transfusion During Critical Care Transport.

BACKGROUND: Civilian out-of-hospital transfusions have not been adequately studied. This study seeks to characterize patients receiving out-of-hospital blood product transfusion during critical care transport. STUDY DESIGN AND METHODS: We studied patients transported by a regional critical care air-medical service who received blood products during transport. This service carries two units of uncrossmatched packed Red Blood Cells (pRBCs) on every transport in addition to blood obtained from referring facilities. The pRBC are administered according to a protocol for the treatment of hemorrhagic shock or based on medical command physician order. Transfusion amount was categorized into three groups based on the volume transfused (<350 mL, 350-700 mL, >700 mL). The association between prehospital transfusion and in-hospital outcomes (mortality, subsequent blood transfusion and emergent surgery) was estimated using logistic regression models, controlling for age, first systolic blood pressure, first heart rate, Glasgow Coma Score, time of transfer, and length of hospital admission. RESULTS: Among the 1,440 critical care transports with transfusions examined, 81% were for medical patients, being gastrointestinal hemorrhage the most common indication (26%, CI 24-28%). pRBC transfusions were associated with emergent surgery (OR = 1.81, 95% CI = 1.31-2.52) and in-hospital transfusions (OR = 2.00, 95% CI = 1.46-2.76). Those with transfusions >700 mL were associated with emergent surgery (OR = 1.79, 95% CI = 1.10-2.92) and mortality (OR = 2.11; 95% CI = 1.21-3.69). CONCLUSIONS: In this sample, the majority of patients receiving blood products during air-medical transport were transfused for medic conditions; gastrointestinal hemorrhage was the most common chief complaint. The pRBC transfusions were associated with emergent surgery and in-hospital transfusion. Transfusions of >700 mL were associated with mortality.

Predicting older adults who return to the hospital or die within 30†days of emergency department care using the ISAR tool: subjective versus objective risk factors.

BACKGROUND: We sought to evaluate the ability of the Identification of Seniors At Risk (ISAR) tool to differentiate between older adult patients having a poor outcome within 30 days of emergency department (ED) care and those who do not. We compare prognostic accuracy of subjective versus objective risk factors. METHODS: 202 community-dwelling patients age 65 years and older presenting to two EDs were prospectively enrolled. Participants completed the six-question ISAR and objective testing (cognition, ambulation, vision). We reviewed electronic medical records for current medications, hospitalisations in the past six months, ED disposition, length of hospital stay, subsequent ED visits or inpatient admissions or death at 30 days. Participants were given a point for each risk factor present; subjective and objective risk factors were scored separately. We tested ability of individual risk factors and scores to predict a composite outcome of subsequent ED visit, postdischarge hospitalisation or death by day 30 after the index ED visit. We computed receiver operating curve area under the curves (AUC) to determine tool discrimination. RESULTS: 23% of participants had a poor 30-day outcome. The optimum subjective ISAR cut-off score for screening was ≥2, which was present in 84% of participants, had a sensitivity of 91% and specificity of 19%. Using the subjective ISAR tool, the AUC was 0.66. The optimum objective ISAR-related risk cut-off score for screening was ≥3, which was present in 82% of participants, had a sensitivity of 87% and specificity of 40%. Using the objective ISAR-related tool, the AUC was 0.69. CONCLUSIONS: The self-reported ISAR tool did not discriminate well between older adults with or without 30-day hospital revisit or death. An optimum score of ≥2 would identify many older adults at no apparent increased risk of poor outcomes at 30 days. Using objective ISAR-related risk factors did not improve overall discrimination.

Real-time fatigue reduction in emergency care clinicians: The SleepTrackTXT randomized trial.

BACKGROUND: We assessed performance characteristics and impact of a mobile phone text-message intervention for reducing intra-shift fatigue among emergency clinician shift workers. METHODS: We used a randomized controlled trial of 100 participants. All participants received text-message assessments at the start, every 4 hr during, and at end of scheduled shifts over a 90-day period. Text-message queries measured self-rated sleepiness, fatigue, and difficulty with concentration. Additional text-messages were sent to intervention participants to promote alertness. A performance measure of interest was compliance with answering text-messages. RESULTS: Ninety-nine participants documented 2,621 shifts and responded to 36,073 of 40,947 text-messages (88% compliance rate). Intervention participants reported lower mean fatigue and sleepiness at 4 hr, 8 hr, and at the end of 12 hr shifts compared to controls (P < 0.05). Intervention participants reported better sleep quality at 90-days compared to baseline (P = 0.01). CONCLUSIONS: We showed feasibility and short-term efficacy of a text-message based assessment and intervention tool.

A text message alcohol intervention for young adult emergency department patients: a randomized clinical trial.

STUDY OBJECTIVE: Opportunistic brief in-person emergency department (ED) interventions can be effective at reducing hazardous alcohol use in young adult drinkers, but require resources frequently unavailable. Mobile telephone text messaging (short message service [SMS]) could sustainably deliver behavioral support to young adult patients, but efficacy remains unknown. We report 3-month outcome data of a randomized controlled trial testing a novel SMS-delivered intervention in hazardous-drinking young adults. METHODS: We randomized 765 young adult ED patients who screened positive for past hazardous alcohol use to one of 3 groups: SMS assessments+feedback (SA+F) intervention who were asked to respond to drinking-related queries and received real-time feedback through SMS each Thursday and Sunday for 12 weeks (n=384), SMS assessments (SA) who were asked to respond to alcohol consumption queries each Sunday but did not receive any feedback (N=196), and a control group who did not participate in any SMS (n=185). Primary outcomes were self-reported number of binge drinking days and number of drinks per drinking day in the past 30 days, collected by Web-based timeline follow-back method and analyzed with regression models. Secondary outcomes were the proportion of participants with weekend binge episodes and most drinks consumed per drinking occasion during 12 weekends, collected by SMS. RESULTS: With Web-based data, there were decreases in the number of self-reported binge drinking days from baseline to 3 months in the SA+F group (-0.51 [95% confidence interval {CI} -0.10 to -0.95]), whereas there were increases in the SA group (0.90 [95% CI 0.23 to 1.6]) and the control group (0.41 [95% CI -0.20 to 1.0]). There were also decreases in the number of self-reported drinks per drinking day from baseline to 3 months in the SA+F group (-0.31 [95% CI -0.07 to -0.55]), whereas there were increases in the SA group (0.10 [95% CI -0.27 to 0.47]) and the control group (0.39 [95% CI 0.06 to 0.72]). With SMS data, there was a lower mean proportion of SA+F participants reporting a weekend binge during 12 weeks (30.5% [95% CI 25% to 36%) compared with the SA participants (47.7% [95% CI 40% to 56%]). There was also a lower mean drinks consumed per weekend during 12 weeks in the SA+F group (3.2 [95% CI 2.6 to 3.7]) compared to the SA group (4.8 [95% CI 4.0 to 5.6]). CONCLUSION: A text message intervention can produce small reductions in self-reported binge drinking and the number of drinks consumed per drinking day in hazardous-drinking young adults after ED discharge.

Prevalence and interventional outcomes of patients with resolution of ST-segment elevation between prehospital and in-hospital ECG.

OBJECTIVE: To determine the prevalence and significance of ST-segment elevation resolution between prehospital and first hospital ECG. METHODS: We examined consecutive prehospital ECGs transmitted to a single medical command center in southwestern Pennsylvania between January 1, 2009 and December 31, 2011. We included ECG cases with ST-segment elevation myocardial infarction (STEMI) and excluded cases with incomplete prehospital and/or hospital data. Our primary outcome was ST-segment resolution (STR), defined by cases no longer meeting STEMI criteria on the first in-hospital ECG. Primary variables of interest included prehospital vital signs and treatment, cardiac catheterization findings, and time intervals for diagnostics and treatment. Analysis included t-tests for continuous variables and chi-squared analysis for categorical variables. RESULTS: We reviewed 24,197 prehospital ECGs and identified 293 cases of prehospital STEMI. Complete hospital and prehospital records were available for 83 cases (28%). Analyzed cohort was an average 62 years old and the majority were male (67%), with a primary complaint of chest pain (93%). STR occurred in 18 cases (22%, CI 14-32%). There were no differences between STR and non-STR cases in prehospital vital signs or treatments. 95% of patients underwent cardiac catheterization with a mean door-to-needle time of 57 minutes (interquartile range 43-71). Comparing STR and non-STR cases, significant lesions (≥50%) were found in 94 and 97% of patients (p = 0.6), and subtotal or total lesions (≥95%) were found in 63 and 85% (p = 0.1), respectively. CONCLUSIONS: We found that ST-segment resolution occurred prior to catheterization in 1 of 5 patients with prehospital STEMI, emphasizing the necessity of prehospital ECG in risk stratification of patients with suspected coronary disease. Coronary lesions and intervention rates did not differ between STR and non-STR, suggesting that catheterization is warranted even when STEMI criteria are no longer met in-hospital.

Pre-resuscitation lactate and hospital mortality in prehospital patients.

OBJECTIVE: Serum lactate elevations are associated with morbidity and mortality in trauma patients, but their value in prehospital medical patients prior to resuscitation is unknown. We sought to assess the distribution of blood lactate concentrations prior to intravenous (i.v.) resuscitation and examine the association of elevation on in-hospital death. METHODS: A convenience sample of adult patients over 14 months who received an i.v. line by eight EMS agencies in Western Pennsylvania had lactate measurement prior to any i.v. treatment. We assessed the lactate values and any relationship between these and hospital mortality (our primary outcome) and admission to the intensive care unit (ICU). We also compared the ability of lactate to discriminate outcomes with a prehospital critical illness score using age, Glasgow Coma Score, and initial vital signs. RESULTS: We included 673 patients, among whom 71 (11%) were admitted to the ICU and 21 (3.1%) died in-hospital. Elevated lactate (≥2 mmol/L) occurred in 307 (46%) patients and was strongly associated with hospital death after adjustment for known covariates (odds ratio = 3.57, 95% confidence interval [CI]: 1.10, 11.6). Lactate ≥2 mmol/L had a modest sensitivity (76%) and specificity (55%), and discrimination for hospital death (area under the curve [AUC] = 0.66, 95%CI: 0.56, 0.75). Compared to the prehospital critical illness score alone (AUC = 0.69, 95% CI: 0.59, 0.80), adding lactate to the score offered modest improvement (net reclassification improvement = 0.63, 95%CI: 0.23, 1.01, p < 0.05). CONCLUSIONS: Initial lactate concentration in our prehospital medical patient population was associated with hospital mortality. However, it is a modest predictor of outcome, offering similar discrimination to a prehospital critical illness score.