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Wei-Chun Lin,1– 3 Chien-Hsiung Huang,2– 4 Liang-Tien Chien,4,5 Hsiao-Jung Tseng,6,7 Chip-Jin Ng,2,3,8 Kuang-Hung Hsu,2,3,9– 12 Chi-Chun Lin,2,3,13 Cheng-Yu Chien2– 4,13,14 1Department of Emergency Medicine, New Taipei Municipal TuCheng Hospital and Chang Gung University, New Taipei City, Taiwan; 2Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan; 3Department of Emergency Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 4Graduate Institute of Management, Chang Gung University, Taoyuan, Taiwan; 5Fire Department, Taoyuan City Government, Taoyuan, Taiwan; 6Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan; 7Biostatistics Unit, Clinical Trial Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 8Department of Emergency Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan; 9Laboratory for Epidemiology, Chang Gung University, Taoyuan, Taiwan; 10Laboratory for Epidemiology, Department of Health Care Management, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan; 11Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan; 12Department of Safety, Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City, Taiwan; 13Department of Emergency Medicine, Ton-Yen General Hospital, Zhubei, Taiwan; 14Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, TaiwanCorrespondence: Cheng-Yu Chien, Department of Emergency Medicine, Chang Gung Memorial Hospital, No. 5 Fushing St., Gueishan Dist, Taoyuan City, Taiwan, Tel +886-3-3281200 # 2505, Fax +886-3-3287715, Email rainccy217@gmail.comObjective: 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.Keywords: cardiac arrest, tree-based algorithms, data mining

Seventy-two-hour unscheduled return visits (URVs) by emergency department patients are a key clinical index for evaluating the quality of care in emergency departments (EDs). This study aimed to develop a machine learning model to predict 72 h URVs for ED patients with abdominal pain. Electronic health records data were collected from the Chang Gung Research Database (CGRD) for 25,151 ED visits by patients with abdominal pain and a total of 617 features were used for analysis. We used supervised machine learning models, namely logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGB), and voting classifier (VC), to predict URVs. The VC model achieved more favorable overall performance than other models (AUROC: 0.74; 95% confidence interval (CI), 0.69–0.76; sensitivity, 0.39; specificity, 0.89; F1 score, 0.25). The reduced VC model achieved comparable performance (AUROC: 0.72; 95% CI, 0.69–0.74) to the full models using all clinical features. The VC model exhibited the most favorable performance in predicting 72 h URVs for patients with abdominal pain, both for all-features and reduced-features models. Application of the VC model in the clinical setting after validation may help physicians to make accurate decisions and decrease URVs.

ObjectiveThis study determined the impact of the caller’s emotional state and cooperation on out-of-hospital cardiac arrest (OHCA) recognition and dispatcher-assisted cardiopulmonary resuscitation (DA-CPR) performance metrics.MethodsThis was a retrospective study using data from November 2015 to October 2016 from the emergency medical service dispatching centre in northern Taiwan. Audio recordings of callers contacting the centre regarding adult patients with non-traumatic OHCA were reviewed. The reviewers assigned an emotional content and cooperation score (ECCS) to the callers. ECCS 1–3 callers were graded as cooperative and ECCS 4–5 callers as uncooperative and highly emotional. The relation between ECCS and OHCA recognition, time to key events and DA-CPR delivery were investigated.ResultsOf the 367 cases, 336 (91.6%) callers were assigned ECCS 1–3 with a good inter-rater reliability (k=0.63). Dispatchers recognised OHCA in 251 (68.4%) cases. Compared with callers with ECCS 1, callers with ECCS 2 and 3 were more likely to give unambiguous responses about the patient’s breathing status (adjusted OR (AOR)=2.6, 95% CI 1.1 to 6.4), leading to a significantly higher rate of OHCA recognition (AOR=2.3, 95% CI 1.1 to 5.0). Thirty-one callers were rated uncooperative (ECCS 4–5) but had shorter median times to OHCA recognition and chest compression (29 and 122 s, respectively) compared with the cooperative caller group (38 and 170 s, respectively). Nevertheless, those with ECCS 4–5 had a significantly lower DA-CPR delivery rate (54.2% vs 85.9%) due to ‘caller refused’ or ‘overly distraught’ factors.ConclusionsThe caller’s high emotional state is not a barrier to OHCA recognition by dispatchers but may prevent delivery of DA-CPR instruction. However, DA-CPR instruction followed by first chest compression is possible despite the caller’s emotional state if dispatchers are able to skilfully reassure the emotional callers.

Background. Out-of-hospital cardiac arrest (OHCA) remains a big issue of critical care. It is well known that bystander cardiopulmonary resuscitation (CPR) with an automated external defibrillator (AED) used did improve the survival rate. Therefore, CPR education including basic life support (BLS) and AED has been advocated for years. It showed significant improvement of knowledge and willingness to perform CPR through adolescents after the course. However, little is known regarding the ability and learning effectiveness of school students who attend such courses. Therefore, this study aimed to evaluate the CPR effectiveness of both adolescents (12 years old) and adults who undergo the same course of BLS and AED. Methods. This is a retrospective study. Sixth-grade elementary school students in Northern Taiwan were selected to compare with the adult group. Both took 90 minutes of the BLS and AED course by the doctor with BLS instructor qualification. The primary outcomes were CPR quality and passing or failing the skill examination parameters. The secondary outcome was the posttraining written test and questionnaire of CPR willingness. Results. In the written test, there was a statistical difference in the pretest score except AED knowledge, but no difference was revealed in the posttest score. No statistical difference in CPR quality was noted. In the skill examination, only checking breathing status had statistical difference (elementary group (71%) vs. adult group (86%) ( p = 0.003 )). Conclusion. We revealed that sixth-grade elementary students’ performance in CPR and AED was similar to that of adults after completing the current 90-minute course. Therefore, we strongly advocate offering CPR and AED courses to 12-year-old children, and these courses should emphasize checking the victim’s breathing status.

Background: This study aimed to evaluate whether out-of-hospital cardiac arrest (OHCA) patients with initial shockable rhythm without prehospital return of spontaneous circulation (ROSC) who are directly transported to Heart Centers in appropriate time will have better post-cardiac arrest four months survival and neurological outcomes at discharge. Methods: This retrospective study assessed the data of 1,588 OHCA patients with shockable rhythm and without prehospital ROSC collected from the registry database of Taoyuan City between January 2014 and June 2018. The relationships of transport time to Heart Centers with survival at discharge and with neurological outcomes were investigated for survival analysis. Results: Among the 1,588 OHCA patients with initial shockable rhythm and without prehospital ROSC, 1,222 (77.0%) and 366 (23.0%) were transported to Heart Centers and non-Heart Centers, respectively. However, the transport to Heart Centers was associated with an increased survival at discharge (adjusted odds ratio [aOR] 2.00, 95% confidence interval [CI], 1.42–2.81) and good neurological outcomes (cerebral performance category [CPC] 1 and 2) (aOR 3.14, 95% CI, 1.88–5.23), regardless of the transport time. The overall mortality reduction for Heart Centers was 39% (hazard ratio [HR] = 0.61; 95% CI 0.47–0.78), compared to that for non-Heart Centers. At 120 days of follow-up, the results showed a higher survival rate for patients who were transported to Heart Centers within a short time. The percentages of good CPC showed a better distribution for non-Heart Centers versus those for Heart Centers. Conclusions: Adult OHCA patients with initial shockable rhythm and without prehospital ROSC who were transported to Heart Centers directly had better post-cardiac arrest survival and good neurologic outcomes, regardless of the transport time.

Background: Emergency department (ED) overcrowding and overuse are global healthcare problems. Despite that substantial pieces of literature have explored quality parameters to monitor the patients’ safety and quality of care in the ED, to the best of our knowledge, no reasonable patient-to-ED staff ratios were established. Objectives: This study aimed to find the association between unexpected emergency department cardiac arrest (EDCA) and the patient-to-ED staff ratio. Methods: A retrospective cohort study was conducted in a medical center in Taiwan. Non-trauma patients (age > 18) who visited the ED from January 1, 2016 to November 30, 2018 were included. The total number of patients in ED, number of patients waiting for boarding, length of stay over 48 hours, and physician/nurse number in ED were collected and analyzed. The primary outcome was the association of each parameter with the incidence of EDCA. Results: A total of 508 patients were included. The total number of patients in ED ( > 361, RR: 1.54; 95% CI {1.239-1.917}), ED occupancy rate (> 280, RR: 1.54; 95% CI {1.245-1.898}), ED bed occupancy rate (> 184, RR: 1.63; 95% CI {1.308-2.034}), number of patients waiting for boarding (> 134, RR: 1.45; 95% CI {1.164-1.805}), number of patients in ED with length of stay over 48 hours (> 36, RR: 1.27; 95% CI {1.029-1.558}) and patient-to-nurse ratio (> 8.5, adjusted RR: 1.33; 95% CI {1.054-1.672}) had significant associations with higher incidence of EDCA. However, the patient-to-physician ratio was not associated with EDCA incidence. Discussions: Regarding loading parameters, the patient-to-nurse ratio is more representative than the patient-to-physician ratio as regards association with higher EDCA incidence. Conclusions: A higher patient-to-nurse ratio (> 8.5) was associated with an increment in the incidence of EDCA. Our findings provide a basis for setting different thresholds for different ED settings to adjust ED staff and develop individually tailored approaches corresponding to the level of ED overcrowding.

Background Should all out‐of‐hospital cardiac arrest ( OHCA ) patients be directly transported to cardiac arrest centers ( CAC s) remains under debate. Our study evaluated the impacts of different transport time and destination hospital on the outcomes of OHCA patients. Methods and Results Data were collected from 6655 OHCA patients recorded in the regional prospective OHCA registry database of Taoyuan City, Taiwan, between January 2012 and December 2016. Patients were matched on propensity score, which left 5156 patients, 2578 each in the CAC and non‐ CAC groups. Transport time was dichotomized into CAC s and good neurological outcome at discharge and survival to discharge were investigated. Of the 5156 patients, 4215 (81.7%) presented with nonshockable rhythms and 941 (18.3%) presented with shockable rhythms. Regardless of transport time, transportation to a CAC increased the likelihoods of survival to discharge (CI, 1.11–3.41; ≥8 minutes: aOR, 1.92; 95% CI, 1.25–2.94) and good neurological outcome at discharge (CI, 1.40–5.22; ≥8 minutes: aOR, 2.20; 95% CI, 1.29–3.75) in OHCA patients with shockable rhythms but not in patients with nonshockable rhythms. Conclusions OHCA patients with shockable rhythms transported to CAC s demonstrated higher probabilities of survival to discharge and a good neurological outcome at discharge. Direct ambulance delivery to CAC s should thus be considered, particularly when OHCA patients present with shockable rhythms.

Cardiopulmonary resuscitation (CPR) training and its quality are critical in improving the survival rate of cardiac arrest. This randomized controlled study investigated the efficacy of a newly developed CPR training program for the public in a Taiwanese setting. A total of 832 adults were randomized to either a traditional or blended (18-minute e-learning plus 30-minute hands-on) compression-only CPR training program. The primary outcome was compression depth. Secondary outcomes included CPR knowledge test, practical test, quality of CPR performance, and skill retention. The mean compression depth was 5.21 cm and 5.24 cm in the blended and traditional groups, respectively. The mean difference in compression depth between groups was −0.04 (95% confidence interval −0.13 to infinity), demonstrating that the blended CPR training program was non-inferior to the traditional CPR training program in compression depth after initial training. Secondary outcome results were comparable between groups. Although the mean compression depth and rate were guideline-compliant, only half of the compressions were delivered with adequate depth and rate in both groups. CPR knowledge and skill retained similarly in both groups at 6 and 12 months after training. The blended CPR training program was non-inferior to the traditional CPR training program. However, there is still room for improvement in optimizing initial skill performance as well as skill retention. Clinical Trial Registration: NCT03586752; www.clinicaltrial.gov

We demonstrate a multi-threshold threshold gate (MTTG) based on a series and parallel connection of several MOS-NDR circuits. A MOS-NDR circuit is made of five standard Si-based metal–oxide–semiconductor field-effect-transistor (MOS) devices. It can show the negative-differential-resistance (NDR) characteristic in its current–voltage (I–V) curve by adjusting suitable parameters for the MOS transistors. The operation principle of this MTTG is based on the monostable-bistable transition logic element (MOBILE), which the output voltage goes to the low or high state depending on the relative current-peak conditions of the series-connected NDR circuits by supplying a clocked voltage. The weight of this MTTG is defined by the gate width of the MOS device in the MOS-NDR circuit. It is different from the design using the area of the resonant tunneling diode as the weight in the other NDR-based MTTG circuit. A great advantage of this MOS-NDR-based MTTG is that we can design the application using the standard CMOS technology without the need of compound semiconductor.

Background: The prognosis of out-of-hospital cardiac arrest is generally poor. It is known that the survival of out-of-hospital cardiac arrest patients depends on treatments delivered in a very short time frame. Identifying outcome-associated factors may provide valuable information for decision-making in clinical practices. Aim: The objective of the present study was to assess the associations between various factors (e.g. serum biomarker levels and prehospital factors) and outcomes in adult, non-traumatic out-of-hospital cardiac arrest patients. Methods: Data from 386 consecutive out-of-hospital cardiac arrest patients treated from January 2012 to December 2015 at Taoyuan Chang Gung Memorial Hospital (Taiwan, ROC) were collected. While performing cardiopulmonary resuscitation in the emergency room, the levels of creatinine, aspartate aminotransferase, sodium, potassium, troponin-I, hydrogen bicarbonate and haemoglobin were determined, blood pH and pCO2 were measured and the white blood cell count was calculated. The response time and scene time interval were also recorded. Results: Here we found that out-of-hospital cardiac arrest patients with blood pH values of Conclusion: Our data suggest that the blood pH and an automated external defibrillator shockable rhythm are two easily measurable factors strongly associated with the outcomes of out-of-hospital cardiac arrest patients.

Background An optimized protocol to help dispatchers identify potential cases of cardiac arrest and provide phone instructions for cardiopulmonary resuscitation (CPR) may increase the provision of bystander CPR, further improving the survival rate and neurological outcomes. Objective We assessed a revised dispatcher-assisted (DA)-CPR protocol with a continuous quality-improvement feature in a county fire department-based emergency medical services system. Methods This was a before-and-after intervention prospective study conducted in Taoyuan City, Taiwan. The participants were out-of-hospital cardiac arrest (OHCA) patients from November 2014 to February 2016. Interventional quality control started in August 2015. Approximately 10% of the telephone calls from these OHCA patients were reviewed. Results In total, 66 and 64 cases were included in the before- and after-intervention groups, respectively. No significant differences were observed in sex, age, day, and time of events, or languages spoken by the callers. After the intervention, we found significant improvements in the rates at which cardiac arrests were recognized (54.5% vs. 68.8%; p = 0.007) and normal breathing was checked (51.5% vs. 76.6%, p = 0.003). Moreover, the frequency with which DA-CPR was provided by the dispatchers improved significantly (50.0% vs. 72.7%; p = 0.046). Significant improvement in patient outcomes was observed with regard to 24-h survival (7.6% vs. 20.3%, p = 0.036) but not with regard to survival to discharge (3.0% vs. 10.9%, p = 0.076). Conclusions The study found this DA-CPR protocol, which includes continuous quality control, is promising as it improved the successful recognition of cardiac arrests.

Introduction: The psychomotor skill of cardiopulmonary resuscitation emphasized the importance of high-quality chest compression. This investigation examined the effect of self-debriefing and the different materials of debriefing during hands-on cardiopulmonary resuscitation practice for healthcare providers. Methods: This was a randomized controlled trial of a cardiopulmonary resuscitation training program involving emergency medical technicians in northern Taiwan. Participants were blinded to the study purpose and were allocated randomly using the black envelope method. All participants completed a 2-min pre-test of hands-only cardiopulmonary resuscitation using a manikin. Those who were allocated to the control group received self-debriefing with knowledge of pre-test result. Those who were allocated to the experimental group received self-debriefing with an additional biomechanical information of performance of chest compression. A post-test was performed 30 min after the pre-test. Results: A total of 88 participants were enrolled with 44 in each group. There was significant difference of cardiopulmonary resuscitation quality after self-debriefing among all participants (pre- vs post-test adequate rate, 54.7% vs 67.5%, p = 0.028; adequate depth, 41.2% vs 69.5%, p Conclusion: Self-debriefing improved hands-only cardiopulmonary resuscitation quality whether or not biomechanical information of performance of chest compression was given.

Objective There is lack of scientific evidence regarding the effectiveness of prehospital triage systems. This study compared the two-level Taiwan Prehospital Triage System (TPTS) with the five-level Taiwan Triage and Acuity Scale (TTAS) at ED arrival regarding the prediction of patient outcomes and the utilisation of medical resources. Design This was a retrospective cohort study. Adult patients transported via the emergency medical service (EMS), who arrived at the ED of a medical centre in northern Taiwan during the study period were enrolled. TTAS acuity levels 1–2 were considered comparable to the designation of ‘emergent’ by the prehospital TPTS system. The outcomes were analysed by comparing TPTS and TTAS by acuity levels. Results Among 4430 enrolled patients, 25.2% and 74.8% were classified as emergent and non-emergent by TPTS; 44.1% and 55.9% were classified as levels 1–2 and levels 3–5 by TTAS. Of the TPTS emergent patients, 15.2% were classified as TTAS levels 3–5, whereas 30.4% of TPTS non-emergent transports were classified as TTAS levels 1–2 at the ED. TTAS levels 1–2 showed better predictability than TPTS emergent level for hospitalisation rate with a sensitivity of 70.3% (95% CI 68.3% to 72.2%) versus 41.1% (95% CI 39.0% to 43.2%), and a negative predictive value of 74.8% (95% CI 73.4% to 76.0%) versus 62.6% (95% CI 61.7% to 63.5%). Conclusion The current prehospital triage system is insufficient and inappropriate in classifying patients transported to the ED. The present study offers supporting evidence for the introduction of a five-level triage system to prehospital EMS systems.

Objective Predicting the outcome of out-of-hospital cardiac arrest (OHCA) patients is crucial. We examined hospital characteristics and parameters of emergency medical service (including scene time interval and direct ambulance delivery to intensive heart hospitals) as survival or outcome predictors. Study design Data from 546 consecutive OHCA shockable patients treated between January 2012 and December 2015 in Taoyuan City (Taiwan, ROC) were collected. In addition to demographic data, location of arrest, initial rhythm, availability of a hospital with or without 24/7 percutaneous coronary intervention (PCI), emergency medical service (EMS) time, provision of cardiopulmonary resuscitation by a bystander, presence of a witness at collapse, and level of life support were analysed. Results Multivariate analysis showed that hospitalisation with immediate PCI availability was an independent predictor (OR: 4.32; 95% CI: 1.27–14.70) solely for the outcome of survival until discharge. The presence of a witness while collapsing (OR: 3.52; 95% CI: 1.03–11.98), EMS response time (OR: 0.83; 95% CI: 0.70–0.98), and scene time interval (STI; OR: 0.89; 95% CI: 0.81–0.99) were valuable for predicting the neurological outcome. Conclusions Direct ambulance delivery to intensive heart hospitals that had 24/7 PCI availability was associated with a higher probability of surviving until discharge in OHCA patients with shockable rhythms. Similarly, a witnessed collapse was correlated with being discharged alive from hospital and recovering with good cerebral performance. In addition, longer response time and scene time interval indicated poorer survival and neurological outcome.

In this study, polystyrene/nanographite nanocomposite foams were made by different compounding methods, such as direct compounding, pulverized sonication compounding, and in situ polymerization, to understand the effect of the process variables on the morphology of the nanocomposites and their foam. The foam was made by batch foaming using CO2 as the blowing agent. Various foaming pressures and temperatures were studied. The results indicated that the cell size decreased and the cell morphology was improved with the advanced dispersion of the nanoparticles. Among the three methods, the in situ polymerization method provided the best dispersion and the resulting nanocomposite foam had the finest cell size and the highest cell density. In addition, adding nanoparticles as a nucleating agent can make foams of similar cell size and cell density at a much lower foaming pressure. This result can be explained by the classical nucleation theory. This discovery could open up a newroute to produce microcellular foams at a low foaming pressure. POLYM. ENG. SCI., 53:2061–2072, 2013. © 2013 Society of Plastics Engineers

Supplemental Digital Content is available in the text, The aim of this study was to determine the age–period–cohort (APC) effects on the rate of infection-related emergency department (ED) visits from septicemia for predicting the same in recent periods. In our study, we investigated the longitudinal trends in septicemia-related visit rates. Using an APC model to decompose the septicemia visit rates into the effects of age, time period, and cohort, and examine whether their effects varied by sex. The septicemia ED visit rate was classified as the International Classification of Disease Code 038 by primary and secondary diagnosis between 1998 and 2012. In both males and females, the visit rate of septicemia showed an increase from 2003 through 2012. An increase in septicemia visit rate after 2003 was observed in all age groups. An APC model indicated a reversal increasing period effect, which increased prominently from 2003 to 2012 in both males and females. The age effect showed an increasing trend. The cohort effect tended to show a slight oscillation from 1913 to 1988. With reference to the prediction of the logarithms of the age-specific 5-year visit rates, we observed that the younger cohorts exhibited a slightly increasing trend, as compared to the older cohorts. The period effect can explain the increase in septicemia visit rates, suggesting the role of screening for septicemia. Furthermore, it is well known that aging is a relevant risk variable for infectious diseases. The present study concludes that the aged population exhibited a strong increasing future trend for septicemia-related ED visit rates.