Comparative Analysis of Out-of-Hospital Cardiac Arrest Outcomes in Health Clinics, Nursing Homes, and Public Places: Implications for Optimizing Automated External Defibrillator Strategies.

Purpose: Various factors, such as event location and response time, influence the outcomes of out-of-hospital cardiac arrest (OHCA). Very few studies have explored the delivery of basic life support (BLS) to patients having OHCA at health clinics or nursing homes-settings with professional BLS providers. Thus, in this study, we compared prognostic and survival outcomes between health clinics, nursing homes, and other public places (eg, workplaces and sports facilities/recreational areas) to offer insights for optimizing OHCA outcomes. Patients: This study included adults who had nontraumatic OHCA in Taoyuan City between January 2017 and December 2022. Methods: We collected data on patient characteristics, emergency medical service parameters, onsite patient management, automated external defibrillator (AED) locations, OHCA prognosis, and survival outcomes. Multivariate analyses were performed to predict survival to discharge (primary outcome) and neurological outcomes at discharge (secondary outcome). Results: During the study period, the numbers of OHCA events at health clinics, nursing homes, and other public places were 158, 208, and 1986, respectively. The mean age of OHCA in health medical clinics, nursing home and other public places were 63.4, 81.5 and 64.7, respectively (P value<0.001). The proportion of witnessed events, rate of bystander resuscitation, and frequency of AED utilization were the highest for health clinics (53.2% (84/158), 83.4% (132/158), and 13.3% (21/158), respectively, P value<0.001). The average AED-scene distances and response times were the lowest for health clinics (388.8 m and 5.4 min, respectively). In initial shockable rhythm group, the probabilities of survival to discharge at discharge were the highest for health clinics (aOR=1.41, 95% CI=1.04-1.81, P value=0.041)) and lowest for nursing homes (aOR=0.84, 95% CI=0.76-0.93, P value=0.024). Conclusion: Our research shows that OHCA patients at medical health clinics have higher rates of witnessing and bystander CPR and AED usage than other public places. However, while survival rates for patients with shockable rhythms are slightly better at health clinics, the neurological outcomes are not significantly different. The AED-scene distances are too far to be used effectively.

A comparison between intraosseous and intravenous access in patients with out-of-hospital cardiac arrest: A retrospective cohort study.

INTRODUCTION: The optimal vascular access for patients with out-of-hospital cardiac arrest (OHCA) remains controversial. Increasing evidence supports intraosseous (IO) access due to faster medication administration and higher first-attempt success rates compared to intravenous (IV) access. However, the impact on patient outcomes has been inconclusive. METHODS: This retrospective cohort study in Taoyuan City, Taiwan, from January 1, 2019, to December 31, 2022, included patients aged ≥18 years with non-traumatic OHCA resuscitated by emergency medical technician paramedics (EMT-Ps) with either IVs or IOs for final vascular access. The exclusion criteria were cardiac arrest en route to the hospital and resuscitation during the coronavirus pandemic (from May 1, 2022, to October 31, 2022). The primary and secondary outcomes were sustained ROSC (≥2 h) and cerebral performance category (CPC) 1-2, respectively. Univariate logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CI) for the primary analysis. Multivariable logistic regression was employed, with variables selected based on a p-value of <0.05 in the univariate analysis. The survival benefits of different insertion sites and subgroups like general ambulance teams (with a composition that includes fewer EMT-Ps and limited experience in using IO access) were also analyzed. RESULTS: A total of 2003 patients were enrolled; 1602 received IV access and 401 IO access. The median patient age was 70 years, and most were male (66.6%). Compared to patients receiving IV access, the adjusted odds ratios (aORs) for primary and secondary outcomes in patients with IOs were 0.83 (95% confidence interval [CI], 0.61-1.11; p = 0.20) and 0.96 (95% CI, 0.39-2.40; p = 0.93), respectively. Different insertion sites showed no outcome differences. In the subgroups of females and patients resuscitated by general ambulance teams, the aORs for sustained ROSC were 0.55 (95% CI, 0.33-0.92; p = 0.02) and 0.62 (95% CI, 0.41-0.94; p = 0.02), respectively. CONCLUSIONS: For patients with OHCA resuscitated by EMT-Ps, IO access was comparable to IV access regarding patient outcomes. However, in females and patients resuscitated by general ambulance teams, IV access might be favorable.

Epinephrine administration in adults with out-of-hospital cardiac arrest: A comparison between intraosseous and intravenous route.

INTRODUCTION: The benefits and risks of the intraosseous (IO) route for vascular access in patients with out-of-hospital cardiac arrest (OHCA) remain controversial. This study compares the success rates of establishing the access route, epinephrine administration rates, and time-to-epinephrine between adult patients with OHCA with IO access and those with intravenous (IV) access established by paramedics in the prehospital setting. METHODS: This was a retrospective study conducted by the San-Min station of Taoyuan Fire Department. Data for IV access were collected between January 1, 2020, and December 31, 2020. Data for IO access were collected between January 1, 2021, and March 10, 2021. Inclusion criteria were adult patients with OHCA who received on-scene resuscitation attempts and in whom either IV or IO route access was established by paramedics. Exclusion criteria were missing data, return of spontaneous circulation before establishing vascular access, cardiac arrest en route to hospital, patients not resuscitated, and OHCA unidentified by the dispatcher. Exposure was defined as IV route vs. IO route (EZ-IO®). The outcome measurements were per-patient based success rates of route establishment (successes/attempts), administration rates of epinephrine (epinephrine administered per case/enrolled OHCAs), and odds ratios of IV versus IO on epinephrine administration. We used nonparametric Mann-Whitney rank sum tests for the analysis in continuous variables and Fisher's exact tests for the analysis of categorical variables and the outcomes. Firth logistic regression method was used for sparse data. Factors associated with epinephrine administration other than vascular access were also analyzed. Time-to-epinephrine (defined as time from paramedic arrival to epinephrine injection) was reviewed and calculated by two independent observers and the Kaplan-Meier method was used to compare the two access routes. RESULTS: A total of 112 adult patients were enrolled in the analysis, including 71 men and 41 women, with an average age of 67 years. There were 90 IV access cases and 22 IO access cases. The groups were compared for median success rates of route establishment (33% vs. 100%, P < 0.001) and administration rates of epinephrine (52% vs. 100%, P < 0.001). The adjusted odds ratio of IO versus IV was 32.445, 95% confidence interval (CI) of 1.844-570.861. Time-to-epinephrine was significantly shorter in the cumulative time-event analysis by the Kaplan-Meier method (P < 0.001). CONCLUSION: The IO route was significantly associated with higher success rates of route establishment, epinephrine administration, and shorter time-to-epinephrine in the prehospital resuscitation of adult patients with OHCA.

Integrating the clinical frailty scale with emergency department triage systems for elder patients: A prospective study.

BACKGROUND: This prospective study investigated whether integrating the Clinical Frailty Scale (CFS) with a triage system would improve triage for older adult emergency department (ED) patients. METHODS: We enrolled ED patients aged 65 years or older at 5 study sites in Taiwan between December 2020 and April 2021. All eligible patients were assigned a triage level by using the Taiwan Triage and Acuity Scale (TTAS) in accordance with usual practice. A CFS score was collected from them. The primary outcome was critical events, defined as ICU admission or in-hospital mortality. The secondary outcomes were ED medical expenditures, number of orders in the ED, and length of hospital stay (LOS). We applied a reclassification concept and integrated the CFS and TTAS to create the Triage Frailty Acuity Scale (TFAS). We compared the outcomes achieved between the TTAS and TFAS. RESULTS: Of 1023 screened ED patients, 890 were enrolled. The majority were assigned to TTAS level 3 (73.26%) and had CFS scores of 4 to 9 (55.96%). The primary outcomes were better predicted by the TFAS than the TTAS (area under the curve [AUC] 0.82 vs. 064). Using multivariable approach, TTAS level 1 (odds ratio [OR], 4.8; 95% confidence interval [CI], 1.7-13.4) and CFS score (OR, 5.8; 95% CI, 1.9-17.2) were significantly associated with the primary outcomes. For older adults at the highest triage level, the TFAS was not associated with an increase in the primary outcomes compared with the TTAS; however, the TFAS was associated with a significant decrease in the number of older ED patients assigned to triage levels 3 to 5. In addition, TFAS had a longer average LOS but did not have a higher average number of orders or ED medical expenditures compared to TTAS. CONCLUSIONS: The TFAS identified more older ED patients who had been triaged as less emergent but proceeded to need ICU admission or in-hospital death. Incorporating the CFS into triage may reduce the under-triage of older adults in the ED.

Tree-Based Algorithms and Association Rule Mining for Predicting Patients' Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining.

Objective: The authors performed several tree-based algorithms and an association rules mining as data mining tools to find useful determinants for neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients as well as to assess the effect of the first-aid and basic characteristics in the EMS system. Patients and Methods: This was a retrospective cohort study. The outcome was Cerebral Performance Categories grading on OHCA patients at hospital discharge. Decision tree-based models inclusive of C4.5 algorithm, classification and regression tree and random forest were built to determine an OHCA patient's prognosis. Association rules mining was another data mining method which we used to find the combination of prognostic factors linked to the outcome. Results: The total of 3520 patients were included in the final analysis. The mean age was 67.53 (±18.4) year-old and 63.4% were men. To overcome the imbalance outcome issue in machine learning, the random forest has a better predictive ability for OHCA patients in overall accuracy (91.19%), weighted precision (88.76%), weighted recall (91.20%) and F1 score (0.9) by oversampling adjustment. Under association rules mining, patients who had any witness on the spot when encountering OHCA or who had ever ROSC during first-aid would be highly correlated with good CPC prognosis. Conclusion: The random forest has a better predictive ability for OHCA patients. This paper provides a role model applying several machine learning algorithms to the first-aid clinical assessment that will be promising combining with Artificial Intelligence for applying to emergency medical services.