• Title/Summary/Keyword: 병원외 심정지

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Factors influencing the return of spontaneous circulation of patients with out-of-hospital cardiac arrest (병원외 심정지 환자의 자발적 순환 회복에 영향을 미치는 요인)

  • Park, Il-Su;Kim, Eun-Ju;Sohn, Hae-Sook;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.11 no.9
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    • pp.229-238
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    • 2013
  • Out-of-hospital cardiac arrest is a major public health problem in Korea. The survival rate to discharge remains at approximately 3.5% and only 1% have good neurological function. To increase the survival rate, prehospital care should restore spontaneous circulation. The purpose of this study was to analyze the factors associated with return of spontaneous circulation(ROSC) after out-of-hospital cardiac arrest. Data used for this study were collected from KCDC Out-of-Hospital Cardiac Arrest Surveillance 2009. As for the results of decision tree analysis, it is clear that prehospital CPR, cardiac arrest witness, activity, past history(cancer/heart disease/stroke), place, bystander CPR, response time, age, etc are significant contributing factors in ROSC. Among 16 cardiac arrest types from decision tree classification, the ROSC rate of type 1 is the highest(29.6%). Also notable is the fact that bystander CPR was strongly correlated with ROSC of patents with cardiac arrest occurring in non-public places. Community resources should be concentrated on increasing bystander CPR and early prehospital emergency care.

EEG can Predict Neurologic Outcome in Children Resuscitated from Cardiac Arrest (심정지 후 회복된 소아 환자에서 뇌파를 통한 신경학적 예후 예측)

  • Yang, Dong Hwa;Ha, Seok Gyun;Kim, Hyo Jeong
    • Journal of the Korean Child Neurology Society
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    • v.26 no.4
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    • pp.240-245
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    • 2018
  • Purpose: Early prediction of prognosis of children resuscitated from cardiac arrest is a major challenge. We investigated the utility of electroencephalography (EEG) and laboratory studies for predicting of neurologic outcome in children resuscitated from cardiac arrest. Methods: We retrospectively analyzed medical records of patients who were resuscitated from cardiac arrest from 2006 to 2015 at the Gil Medical Center. Patients aged one month to 18 years were included. EEG analysis included background scoring, reactivity and seizure burden. EEG background was classified score 0 (normal/organized), score 1 (slow and disorganized), score 2 (discontinuous or burst suppression), and score 3 (suppressed and featureless). Neurologic outcome was evaluated by Pediatric Cerebral Performance Category (PCPC) at least 6 months after cardiac arrest. Results: Total 26 patients were evaluated. Nine patients showed good neurologic outcome (PCPC 1, 2, 3) and 17 patients showed poor neurologic outcome (PCPC 4, 5, 6). Patients of poor neurologic outcome group showed EEG background score 3 in 88.2%, whereas 44.4% in patients of good neurologic outcome group (P=0.028). Electrographic ictal discharges except non-convulsive status epilepticus were presented in 44.4% of good neurologic outcome group and 5.9% of poor neurologic outcome group (P=0.034). Ammonia and lactate levels were higher and pH levels were lower in poor outcome group than good neurologic outcome group. Conclusion: Suppressed and featureless EEG background is associated with poor neurologic outcome and electrographic seizures are associated with good neurologic outcome.

Design and Implementation of a Cardiac Arrest Supporting System Using Wearable Device (웨어러블 기기를 사용한 심정지 환자 지원 시스템의 설계 및 구현)

  • Jang, Jin-Soo;Lee, Seo-Joon;Lee, Kwang-In;Lee, Tae-Ro
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.227-238
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    • 2017
  • Cardiac arrest is a serious intensive emergency disease that causes death within less than several minutes by depriving the body and brain of blood supply. Survival rate of cardiac arrest patients outside of hospitals is especially low. This is because pedestrians usually do not perceive the patient as a sick person, also, even if they do so, they have no medical knowledge to properly react to such emergency. The purpose of this study is to propose a solution that uses widely spread smart phones to alert pedestrians of the cardiac arrest patient, prevents cardiac arrest, and provides first-aid measures. By applying the proposed solution, cardiac arrest can be prevented in advance, pedestrians can be alerted to keep the golden time(4 minutes), and first witness can quickly proceed with CPR, ultimately enhancing the survival rate of the cardiac arrest patient.

Mathematical Programming and Optimization of the Resource Allocation and Deployment for Disaster Response : AED case study (수리계획법을 활용한 방재자원 배치 최적화: AED 배치 사례)

  • Hwang, Seongeun;Lee, Nagyeong;Jang, Dongkuk;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.25 no.3
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    • pp.53-58
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    • 2021
  • The number of patients with cardiovascular diseases who experience an out-of-hospital cardiac arrest (OHCA) are increasing among young adults as well as the aged population. An automated external defibrillator (AED) is vital in improving survival rates of OHCA victims. Survival rates of OHCA were shown to decline exponentially in time to defibrillation, yet studies in Korea are uncommon that captures the properties of their survival rates in examining optimal locations of AEDs. In this study, we worked on the maximal gradual coverage location problem (MGCLP) with exponential decay coverage function to decide on their optimal locations. The exponential decay coverage function mitigates the drawback of over-estimating survival rates of OHCA patients. It is expected that a more sophisticated facility location problem will be developed to identify the "emergent" characteristics of pedestrians who responds to the OHCA occurrence by incorporating random pedestrian locations and movement through simulation.

Factors associated with advanced airway management while performing cardiopulmonary resuscitation for out-of-hospital cardiac arrest patients by 119 EMT (병원 외 심정지 환자에서 119 구급대원의 전문기도유지술 시행에 영향을 미치는 요인)

  • Seo, Ah Ram;Kim, Dae Hee
    • The Korean Journal of Emergency Medical Services
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    • v.23 no.1
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    • pp.157-163
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    • 2019
  • Purpose: Advanced airway maintenance improves the quality of cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest (OHCA) patients. In this study, we evaluate the factors associated with advanced airway management while performing CPR for out-of-hospital cardiac arrest patients by 119 emergency medical technicians (EMTs). Methods: The observational analysis method was used ro retrospectively collect data from 119 rescue run sheets. This study was conducted in a fire station in Seoul, Korea. The subjects of this study were defined as OHCA patients who received CPR from July 2016 to June 2018. We divided the subjects into two groups according to whether advanced airway maintenance was performed or not, and then compared and analyzed both groups. We performed logistic regression analyses for characteristics that differed significantly between groups. Results: Out of 188 OHCA patients, 146 (77.7%) had received advanced airway management. Statistically significant differences in the logistic analysis were found regarding the total number of EMT professionals (adjusted odds ration [aOR]: 1.955; 95% confidence interval [CI]: 1.227-3.115; p=0.005) and scene-time (aOR:1.119;95%CI:1.019-1.228;p=0.019). Conclusion: Advanced airway maintenance while performing CPR for OHCA patients by EMT associated primarily with ensuring an adequate numbers of EMT professionals and sufficient scene time.

Analysis of the association of serum potassium and lactic acid with neurologic outcome in out-of hospital post-cardiac arrest adult patients (자발순환 회복된 병원 외 성인 심정지 환자의 신경학적 예후와 혈청 칼륨 및 젖산 농도와의 관련성 분석)

  • Lee, Yong Heon;Kim, Wonhee;Kang, Gu Hyun;Jang, Yong Soo;Choi, Hyun Young;Kim, Jae Guk
    • Journal of The Korean Society of Emergency Medicine
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    • v.29 no.5
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    • pp.493-499
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    • 2018
  • Objective: This study aimed to identify the effects of serum potassium and lactate on neurologic outcomes in out-of-hospital post-cardiac arrest adult patients. Methods: This study was a single center, retrospective observational study. We recruited out-of-hospital post-cardiac arrest adult patients admitted to an intensive care unit from 2011 to 2017. Primary outcome was good neurologic outcome at discharge. To evaluate the prognostic impact of serum potassium and lactate, univariate and multivariate logistic regression analyses were performed. Results: A total of 57 patients were included in this study. The number of patients with good neurologic outcome was 19 (33.3%). In the univariate analysis, good neurologic outcome patients showed a higher smoking rate, shorter pre-hospital transportation time, higher rate of percutaneous coronary intervention, and lower severity score (all P<0.05). The good neurologic outcome patients also presented higher pH, lower partial pressure of carbon dioxide, and lower potassium regarding laboratory findings on the first hospital day (all P<0.05). In the multivariate analysis, the independent factors favoring good neurologic outcome were pre-hospital transportation time (adjusted odds ratio [aOR], 0.82; 95% confidence interval [CI], 0.69-0.97; P=0.019) and lower partial pressure of carbon dioxide on the first hospital day (aOR, 0.95; 95% CI, 0.91-0.99; P=0.034). Conclusion: Serum potassium and lactate were not significantly associated with good neurologic outcome in out-of-hospital post-cardiac arrest adult patients. The prognostic factors for good neurologic outcome were pre-hospital transportation time and initial partial pressure of carbon dioxide.