tbuckley/cabot-search huggingface dataset:
Abstract Su705: Predictive Model and Factors for Out-of-Hospital Cardiac Arrest in Geriatric Patients with insomnia: A Longitudinal Study
Authors: Chi-Hsin Chen, Chih-Wei Sung, Yun-Ting Chih, Edward Pei-Chuan Huang
Journal: Circulation (2024)

Background: Previous studies have shown that geriatric insomnia can impact the quality of life and lead to various health risks and comorbidities, which may further result in out-of-hospital cardiac arrest (OHCA). Therefore, assessing the risk of OHCA in elderly patients with insomnia is crucial. Hypothesis: We hypothesized that a predictive model incorporating demographic, clinical, and treatment adherence factors can effectively estimate the risk of OHCA among geriatric patients with insomnia. Aim: This study aimed to develop and validate a predictive model for OHCA in geriatric patients with insomnia using a large-scale population-based analysis. Method: A retrospective cohort study was conducted using data from Taiwan's Health and Welfare Data Science Center spanning from 2011 to 2020. The study included elderly patients diagnosed with insomnia who received medication. Predictors of OHCA, such as age, sex, comorbidities, medication adherence, and psychotherapy, were analyzed using multivariable logistic regression. Model performance was assessed using the area under the receiver operating characteristic curve (AUROC) with both internal and temporal validation. Results: Among 438,147 eligible elderly patients with insomnia, 7,666 experienced OHCA. Using data from 2011 to 2018 for model development, the AUROC for predicting OHCA within 7 days, 30 days, and 90 days ranged from 0.749 to 0.762 in the training set and 0.768 to 0.784 in the validation set. Key predictors included older age, male sex, prior medical resource use, hemodialysis, pre-existing comorbidities, medication possession ratio, medication changes, and recent psychotherapy (Figure 1). The model was also tested in 2019 and 2020 dataset (began of the COVID-19 in Taiwan), respectively, demonstrating consistent predictive performance (Figure 2). Specifically, the 7-day model in 2019 showed a sensitivity of 0.776, specificity of 0.632, and accuracy of 0.632, with a positive likelihood ratio (PLR) of 2.11, and negative likelihood ratio (NLR) of 0.36. In 2020, it achieved a sensitivity of 0.739, specificity of 0.661, accuracy of 0.661, PLR of 2.18, NLR of 0.40. Conclusion: The study developed a reliable predictive model for OHCA in geriatric patients with insomnia, highlighting significant predictors such as age, comorbidities, medication adherence, and recent psychotherapy. This model can aid clinicians in identifying high-risk patients and improving preventative care strategies.
Abstract Su707: Sex Differences in Bystander Cardiopulmonary Resuscitation and Survival to Hospital Discharge for Public Out-of-Hospital Cardiac Arrests in North Carolina and Singapore
Authors: Glenda Wee, Truls Ostbye, Lauren Hart, Carolina Hansen, Nur Shahidah, Monique Starks, Christopher Granger, Marcus Ong, Audrey Blewer
Journal: Circulation (2024)

Introduction: Although it is known that women are less likely than men to receive bystander cardiopulmonary resuscitation (BCPR) in public, few studies have examined differences in receipt of BCPR and survival to hospital discharge for public out-of-hospital cardiac arrests (OHCAs) by patient sex between distinct regions. Objectives: We assessed if patient sex was associated with BCPR (primary outcome) and survival to hospital discharge (secondary outcome) for public OHCAs in North Carolina (NC) and Singapore (SG). We hypothesized that females in both regions would have lower receipt of BCPR and were less likely to survive to hospital discharge compared with men. Methods: We conducted a retrospective cohort study of the Cardiac Arrest Registry to Enhance Survival dataset (NC, 2013-2022) and Pan-Asian Resuscitation Outcomes Study (SG, 2010-2020). We excluded pediatric, traumatic, emergency medical services (EMS) witnessed cases, arrests in healthcare facilities and residential cases. Using logistic regression, we examined the association of sex with BCPR and survival to hospital discharge controlling for potential confounding variables such as age, race and the year of arrest. Results: There were 65,627 OHCAs in NC; upon exclusion 6,828 remained (78% males; mean age: 57±15, males, 54.7±18, females). In SG, there were 24,177 OHCAs; upon exclusion 3,617 cases remained (87% males; mean age: 57±14, males, 61±16.4, females). In NC, public BCPR rates were 48% for males and 44% for females. Females had a 13% adjusted lower odds of receiving less BCPR (adjusted OR 0.87 (CI 0.77, 0.99)). In SG, BCPR rates were 59% for males and 52% for females. Similarly, females had a 22% lower adjusted odds of receiving BCPR (adjusted OR 0.78 (CI 0.62, 0.98)). In NC, survival to hospital discharge rates for public OHCAs were 24% for males and 26% for females. Females had a 17% lower adjusted odds ratio of survival to hospital discharge compared to males (adjusted OR 1.17 (95% CI 1.01, 1.35)). In SG, public survival to hospital discharge rates were 12% for males and 9% for females. Females had a 36% adjusted lower odds of survival to hospital discharge compared to males (adjusted OR 0.64 (95% CI 0.43, 0.94)). Conclusion: In public OHCAs, females were less likely to receive BCPR than males in both regions. However, females were less likely to survive to hospital discharge in SG, whereas the opposite was seen in NC. Further research is needed to elucidate factors for these differences.
Abstract Su706: New risk markers of sudden cardiac death in the young : insights from machine learning on EHR data
Authors: Thomas Laurenceau, Richard Chocron, Frankie BEGANTON, Younes Youssfi, Wulfran Bougouin, Jean-Philippe Empana, Xavier Jouven
Journal: Circulation (2024)

Background: Sudden Cardiac Death (SCD) in young adults is a significant public health issue, with survival rates often less than 15%. Effective prevention is critical as many SCD cases go undetected due to nonspecific symptoms and ineffective risk stratification methods, especially among the youth. Objective: To explore risk markers specific to SCD in younger populations using Artificial Intelligence (AI) trained on systematically collected Electronic Health Records (EHR) data, and to compare these markers with those in older populations. Methods: We conducted a retrospective cohort study using data from 46,060 participants in Paris and its inner suburbs, spanning 2011 to 2020. The cohort included 1,100 SCD cases and 1,100 controls aged 40 years or younger, and 21,930 SCD cases and 21,930 controls aged over 40. A machine learning model was developed, trained, and validated on these cohorts. We used the Catboost algorithm and evaluated model performance using AUC, sensitivity, and specificity. The SHAP algorithm was employed to elucidate the relationship between variables and predicted risk. Results: The model achieved on validation sets an AUC of 0.75 (95% CI 0.67-0.83) for the younger cohort and AUC of 0.82 (95% CI: 0.70-0.83), for the older cohort. Neuropsychiatric drugs were the most influential predictors for the younger cohort, whereas age and cardiovascular drugs were most predictive for the older cohort. The results indicate that traditional cardiovascular risk factors play a secondary role in predicting SCD among younger individuals. Conclusion: In analyzing predictors of sudden death in individuals under 40, we developed a personalized SCD prediction model using EHR data tailored to this demographic. Psychiatric medications, and possibly underlying psychiatric conditions, emerged as significant predictors. Our findings emphasize the need for a multidisciplinary approach to SCD prevention, integrating neuropsychiatric and cardiovascular considerations.
Abstract Su704: Body Mass Index and Outcomes of In-Hospital Cardiac Arrest
Authors: Nobuhiro Ikemura, Mohammad Abdel Jawad, Yoon Cho, Philip Jones, John Spertus, Paul Chan
Journal: Circulation (2024)

Background: Although previous studies have reported an association between a patient’s body mass index (BMI) and outcomes for various cardiovascular conditions, the relationship between BMI and survival for in-hospital cardiac arrest (IHCA), a condition for which emergent response is required, has not been fully described. Aims: Examine the association between BMI and survival outcomes for IHCA. Methods: Within the Get With The Guidelines®-Resuscitation, we identified 56,411 patients with IHCA and available BMI data during 2005-2012 when weight and height data were collected in the registry. BMI was classified as underweight [&lt;18.5 kg/m 2 ], normal [18.5 to 24.9 kg/m 2 ], overweight [25.0 to 29.9 kg/m 2 ], obese [30.0 to 34.9 kg/m 2 ], and very obese [≥35.0 kg/m 2 ]). Using multivariable hierarchical models with hospital as a random effect, we examined the association between BMI and survival to discharge, stratified by cardiac arrest rhythm type (shockable and non-shockable). As secondary outcomes, we examined rates of sustained return of spontaneous circulation for &gt; 20 minutes (ROSC) and favorable neurological survival (i.e., survival to discharge without severe neurological disability). Results: Among 10,219 patients with a shockable arrest rhythm, 3,964 (38.7%) survived to discharge. After multivariable adjustment, compared with overweight patients, those who were underweight, of normal weight, and very obese had lower survival rates, whereas obese patients had similar survival rates ( Table ). Underweight patients also had a lower rate of ROSC and favorable neurologic survival ( Table ). Among 46,192 patients with a non-shockable arrest rhythm, 7,331 (15.8%) survived to discharge. After multivariable adjustment, all BMI groups had similar rates of survival, ROSC, and favorable neurologic survival, except for underweight patients ( Table ). Conclusions: Although the association between BMI and survival outcomes for IHCA varied by initial rhythm, underweight patients consistently had lower survival rates of survival. Very obese patients generally had similar outcomes to other weight groups, underscoring that morbid obesity was not a negative predictor of survival outcomes for IHCA.
Abstract Su702: Association Between In-hospital Cardiac Arrest Incidence and Survival in Older Patients
Authors: Rohit Nathani, Qiang Li, Cathy Nguyen, Thomas Koshy, Hurst Hall, Amgad Mentias, Paul Chan, Saket Girotra
Journal: Circulation (2024)

Background: Survival after an in-hospital cardiac arrest (IHCA) varies markedly across hospitals in the U.S. Whether hospitals with IHCA survival also excel in ‘preventing’ IHCA remains unclear. Methods: Using 2013-2019 data from the Get-With-The-Guidelines–Resuscitation (GWTG-R) registry linked with Medicare and American Hospital Association data, we identified all patients &gt; 65 years with IHCA at participating hospitals. Using two-level hierarchical multivariable regression models, we calculated hospital rates of IHCA incidence, adjusted for case-mix index, and risk-standardized survival to discharge (RSSR) for IHCA, adjusted for patient and cardiac arrest variables. We also examined the association of IHCA incidence and RSSR with hospital variables. Results: Among &gt;10 million admissions at 335 hospitals during 2013-2019, 77676 patients experienced an IHCA. The median hospital rate of IHCA incidence was 6.9 per 1000 admissions, and the median case-survival rate among those with IHCA was 21.9%. After case-mix adjustment, the median IHCA incidence was 7.9 per 1000 admissions with considerable variation across hospitals: IQR: 5.8-10.3 per 1000 admissions, range 1.2 to 25.4 per 1000 admissions. The median RSSR for IHCA was 22.3%, which varied from 11.5% to 35.7% across hospitals (IQR: 19.5%-24.9%). There was a weak negative correlation between risk-adjusted hospital IHCA incidence and its RSSR (rho = -0.11; p = 0.037) (Figure 1). Adjustment for hospital variables attenuated the negative association between IHCA incidence and RSSR (rho = -0.08; p = 0.13). The nurse-patient ratio was the only modifiable factor significantly associated with lower IHCA incidence (OR = 0.97; p = 0.004) and higher RSSR (OR = 1.05; p &lt;.0001). Conclusion: Even after case-mix adjustment, hospital IHCA incidence and survival rates varied markedly. Notably, hospitals with higher survival rates for IHCA did not have a higher incidence. Since case-survival rates for IHCA have plateaued in recent years, our findings highlight that efforts focused on reducing IHCA incidence may yield additional gains in reducing resuscitation deaths in hospitals.
Abstract Su601: Missed Hypoxia in the Prehospital Care of Major Traumatic Brain Injury: Discrepancies Between Continuous Monitor Data and Clinical Documentation
Authors: Daniel Spaite, Bruce Barnhart, Dawn Jorgenson, Kevin Burgett, Amber Rice, Joshua GAITHER, Samuel Keim, Chengcheng Hu
Journal: Circulation (2024)

Background: It is well established that prehospital hypoxia dramatically increases mortality in Traumatic Brain Injury (TBI). Thus, in EMS TBI research, case ascertainment and risk adjustment are highly dependent upon documentation of in-field O 2 saturation (SpO 2 ). Objective: To compare the rate of hypoxia identified by EMS personnel and documented in EMS patient care records (PCR) versus the actual rate of hypoxia recorded by continuous, non-invasive monitoring in TBI. Methods: A subset of major TBI cases (moderate/severe) from 5 EMS agencies reporting monitor data (Philips MRx™) in the EPIC EMS TBI Study (NIH 1R01NS071049) were evaluated (02/13-02/18). All monitor data available for post-hoc review were displayed and accessible to the providers during EMS care. We compared PCR documentation of hypoxia (SpO 2 &lt;90%) to continuous monitor data in TBI patients (nasal canula O 2 , mask, basic or advanced airway). Statistic: exact McNemar’s test, α=0.05. Results: 120 cases were included [med. age 50; IQR (23.8, 68); 65% male. Monitors recorded 44 hypoxic cases (36.7%; 95%CI 28.1, 45.9%). Only 8 (6.7%; 2.9, 12.7%) were documented in the PCR (p&lt;0.0001; Figure). Three machine-detected hypoxia cases had no PCR-documented SpO 2 at all. Conclusions: The difference in PCR-documented and monitor-identified hypoxia was dramatic. The monitor data revealed a five-fold greater incidence of hypoxia than that documented by EMS providers. This may be partially explained by the continuous nature of pulse oximetry in the face of ongoing care responsibilities and scene distractions. The field environment may cause providers to miss low readings as they fluctuate moment-by-moment. These findings have major clinical implications. While some of the discrepancy between PCR reporting and monitor data might simply be failure to document hypoxia, the much more concerning implication is that many cases might be unrecognized and untreated. Furthermore, these findings have important implications for case ascertainment, confounding, and risk-adjustment in EMS TBI research. Whenever possible, quality improvement and research projects should utilize continuous non-invasive monitor data to identify and evaluate hypoxic patients in the setting of TBI. These findings may also have implications for identifying hypoxia in EMS patients with other critical conditions.
Abstract Su504: The Impact of Locked Cabinets for Automated External Defibrillators (Aeds) on Cardiac Arrest Outcomes: A Scoping Review
Authors: Lawrence Oonyu, Gavin Perkins, Christopher Smith, Christian Vaillancourt, Fredrik Folke, Theresa Olasveengen, Janet Bray
Journal: Circulation (2024)

Background: Rapid defibrillation by the public with automated external defibrillators (AEDs) is critical to improving out-of-hospital cardiac arrest (OHCA) survival. Concerns about theft, vandalism, and misuse of AEDs have led to the implementation of security measures, including the use of locked cabinets to house these devices in public areas. Aim: This scoping review aims to systematically explore the existing literature on the impact of locked cabinets for AEDs during emergencies. Methods: A search of Medline, Embase, Cochrane, CINAHL and Google Scholar (20 pages) was performed on May 25th 2024. Studies of any design (e.g., experimental, observational, qualitative) that evaluated the impact of locked cabinets on AED accessibility and effectiveness during emergencies. Data were charting was iterative, and after reading included studies the studies were grouped by the outcomes studied. Results: We screened 2,096 titles and found 10 relevant studies: 8 observational studies and 2 OHCA simulation studies. Four papers were only published as conference abstract and no studies reported on patient outcomes. Data were reported on varying numbers of AEDS (ranging from 39 to 31,938) which were located inside buildings and public spaces. Overall theft and vandalism rates were very low, with the majority of studies reporting rates of &lt;2%. Although in some studies it was unclear if the AED was stolen, or whether it had been used in an emergency and not returned. The impact of locking AEDs in cabinets was reported in one study, and showed minimal impact on rates of theft and vandalism (0.34% vs. 0.12%, p&lt; 0.01). Two OHCA simulation studies conducted at AED locations showed significantly slower AED retrieval when AEDs were locked away. One survey of first responders reported that 50% (25/50) were injured while accessing an AED, which required breaking glass. Conclusion: Rates of theft and vandalism of AEDs located in private and public locations are low overall and in unlocked cabinets. Further research is needed on the impact of locked AEDs on patient outcomes.
Abstract Su603: Out-of-hospital cardiac arrest presenting with ST-segment elevation myocardial infarction: Real world assessment and treatment
Authors: Saleem Halablab, Aarthi Kaviyarasu, Taylor Brothers, William Reis, Frances Shofer, Benjamin Abella
Journal: Circulation (2024)

Background: Coronary artery disease is a common cause of out-of-hospital cardiac arrest (OHCA). Early recognition myocardial infarction (MI) and initiating appropriate therapy has been shown to improve outcomes in OHCA. While early coronary intervention is part of guidelines-based care, the implementation of these recommendation in actual US practice remains poorly described. Objectives: This study aims to characterize patients presenting with OHCA and MI in a cohort from 4 hospitals, to assess care of these patients in actual practice. Methods: We employed a database of OHCA patients admitted to four hospitals within the University of Pennsylvania Hospital System between 01/2019-12/2023. For this study, we included all patients that were diagnosed with STEMI during emergency department evaluation, and collected demographic, arrest, coronary angiographic, and ECG data from electronic health records. SAS was used for statistical analysis. Results: A total of 43 MI cases were included; mean age was 60.6±11.8 y, 65% male, mean BMI 30.0±6.3, 58.1% African American, 27.9% White or Caucasian, and 16.3% had a medical history of myocardial infarction. 74.4% were witnessed, and 44.2% received bystander CPR[BA1]. Initial shockable rhythm was present in 34.9%. 38 survived to hospital admission, and 9 were discharged alive. The first obtained 12-lead ECG (median time to ECG: 13min, (IQR: 3.5-26.5)) found that ST-segment elevations were present in 88.4%, ST-segment depressions in 44.2%, T-wave inversions in 4.7%, QT prolongation in 9.3%, and wide QRS in 18.6%. Sinus rhythm was most common (41.9%), followed by junctional rhythm (9.3%). Left and right bundle branch blocks (4.3% and 7%, respectively) and AV block (7%) were recorded. Coronary angiography (median time to angiography: 1.95hr (IQR: 1.3-4.2)) was performed in 29 patients and revealed that left anterior descending artery (28.6%) was the most common location for a culprit lesion, followed by the right coronary artery (21.4%), and left circumflex artery (10.7%). Notably, in 21.4% of cases, no culprit lesion was identified. 13 patients underwent angioplasty with stent, 4 received balloon angioplasty, and 1 underwent aspiration thrombectomy. Conclusion: This study highlights important attributes of OHCA patients presenting with MI. This paves the way for larger studies comparing ECG and coronary angiography findings between MI and control populations to help identify and improve acute care for OHCA MI patients.
Abstract Su502: Is 80% a Reasonable Minimal Goal for Defibrillation Efficacy of Out-of-Hospital Cardiac Arrest ?
Authors: Jean-Philippe Didon, Sarah MENETRE, Vivien Hong Tuan Ha, Clement Derkenne, Benoit Frattini, Daniel Jost
Journal: Circulation (2024)

Introduction: There is no clear goal defined by standards or learned societies on clinical performance related to defibrillation efficacy. In literature, monophasic shocks defibrillation efficacy is mainly &gt;70% whereas biphasic is &gt;80%. Resuscitation guidelines define efficient defibrillation as cessation of shockable rhythm at 5s post-shock and proceed to state that beyond 5s, shock outcomes are biased by known confounders (call to AED connection time (CallAEDTime), bystander, cardio-pulmonary resuscitation (CPR), drugs…). Thus, it is consistent that automated external defibrillator (AED) performance should be assessed in terms of defibrillation efficacy right after the shock rather than in terms of restoration of a spontaneous circulation or survival to hospital discharge. This study aimed to define an acceptable goal for validation of defibrillation efficacy. Method: In this observational retrospective study, we included AED tracings of adult non-traumatic out-of-hospital cardiac arrest (OHCA) patients with initial ventricular fibrillation (VF) rescued by basic life support teams (Paris Fire Brigade) from 01/2017 to 02/2022. Cardiac rhythm was examined during the 10 first minutes of connection of the AED (DGT7, Schiller Médical, France). Shockable rhythm is defined as coarse-VF with at least 200µV peak-to-peak amplitude (ptpA). Efficient defibrillation was defined as cessation of shockable rhythm at 5s post-shock. We fitted a linear mixed model to predict defibrillation efficacy using the 4s ptpA of pre-shock VF. The model included the patient as random effect and a p-value &lt;0.05 was considered statistically significant. Results: We analyzed 1333 shocks from 547 patients, with: median age of 59 (interquartile range, IQR[49-71]), 78% male, 36% in public places, 72% with bystander CPR and median[IQR] CallAEDTime of 13min [10-15]min. The effect of the pre-shock ptpA of VF on the defibrillation efficacy is statistically significant: OR=1.023, 95% Confidence Interval (CI) [1.010,1.036], p&lt;0.001. That means that for each 100µv increment in VF amplitude pre-shock, the probability of success at 5s post-shock increases by 2.3%. Adjusting for age, sex, location, CPR and CallAEDTime does not change the results. The logistic regression of Figure1, shows a defibrillation efficacy at 200µV ptpA of 79%, CI [75,82]%. Conclusion: Based on 1333 OHCA biphasic shocks, this study suggests defining 80% as a reasonable minimal goal for validation of the AED defibrillation efficacy.