BACKGROUND: The prognostic significance of change in red cell distribution width (RDW) during hospital stays in patients treated with therapeutic hypothermia (TH) after out-of-hospital cardiac arrest (OHCA) was investigated. METHODS: Patients treated with TH after OHCA between January 2009 and August 2013 were reviewed. Patients with return of spontaneous circulation (ROSC) were assessed according to Utstein Style. Hematologic variables including RDW, hematocrit, white blood cell count, and platelets were also obtained. RDW changes during the 72 hours after ROSC were categorized into five groups as follows: Group 1 (-0.8-0.1%), Group 2 (0.2-0.3%), Group 3 (0.4-0.5%), Group 4 (0.6-0.8%), and Group 5 (>0.8%). RESULTS: A total of 218 patients were enrolled in the study. RDW changes during the 72 hours after ROSC in Group 4 (HR 3.56, 95% CI 1.25-10.20) and Group 5 (HR 5.07, 95% CI 1.73-14.89) were associated with a statistically significant difference in one-month mortality. RDW changes were associated with statistically significant differences in neurologic outcome at 6 months after ROSC (Group 3 [HR 2.45, 95% CI 1.17-5.14], Group 4 [HR 2.79, 95% CI 1.33-5.84], Group 5 [HR 3.50, 95% CI 1.35-7.41]). Other significant variables were location of arrest, cause of arrest, serum albumin, and advanced cardiac life support time. CONCLUSIONS: RDW change during the 72 hours after ROSC is a predictor of mortality and neurologic outcome in patients treated with TH after OHCA.
Advanced Cardiac Life Support ; Erythrocyte Indices* ; Hematocrit ; Humans ; Hypothermia* ; Length of Stay ; Leukocyte Count ; Mortality ; Out-of-Hospital Cardiac Arrest* ; Prognosis ; Serum Albumin

BACKGROUND: The prognostic significance of change in red cell distribution width (RDW) during hospital stays in patients treated with therapeutic hypothermia (TH) after out-of-hospital cardiac arrest (OHCA) was investigated. METHODS: Patients treated with TH after OHCA between January 2009 and August 2013 were reviewed. Patients with return of spontaneous circulation (ROSC) were assessed according to Utstein Style. Hematologic variables including RDW, hematocrit, white blood cell count, and platelets were also obtained. RDW changes during the 72 hours after ROSC were categorized into five groups as follows: Group 1 (-0.8-0.1%), Group 2 (0.2-0.3%), Group 3 (0.4-0.5%), Group 4 (0.6-0.8%), and Group 5 (>0.8%). RESULTS: A total of 218 patients were enrolled in the study. RDW changes during the 72 hours after ROSC in Group 4 (HR 3.56, 95% CI 1.25-10.20) and Group 5 (HR 5.07, 95% CI 1.73-14.89) were associated with a statistically significant difference in one-month mortality. RDW changes were associated with statistically significant differences in neurologic outcome at 6 months after ROSC (Group 3 [HR 2.45, 95% CI 1.17-5.14], Group 4 [HR 2.79, 95% CI 1.33-5.84], Group 5 [HR 3.50, 95% CI 1.35-7.41]). Other significant variables were location of arrest, cause of arrest, serum albumin, and advanced cardiac life support time. CONCLUSIONS: RDW change during the 72 hours after ROSC is a predictor of mortality and neurologic outcome in patients treated with TH after OHCA.
Advanced Cardiac Life Support ; Erythrocyte Indices ; Hematocrit ; Humans ; Hypothermia ; Length of Stay ; Leukocyte Count ; Mortality ; Out-of-Hospital Cardiac Arrest ; Prognosis ; Serum Albumin

PURPOSE: Cardiovascular or respiratory complications of acute intoxication are the most common causes of mortality. Advanced cardiac life support (ACLS) or specific antidotes help manage these cardiac or respiratory complications in acute intoxication. On the other hand, some cases do not respond to ACLS or antidotes and they require some special treatment, such as extracorporeal life support (ECLS). ECLS will provide the chance of recovery from acute intoxication. This study examined the optimal timing of ECLS in acute intoxication cases. METHODS: This paper is a brief report of a case series about ECLS in acute poisoning. The cases of ECLS were reviewed and the effects of ECLS on the blood pressure and serum lactate level of the patients were analyzed. RESULTS: A total of four cases were reviewed; three of them were antihypertensive agent-induced shock, and one was respiratory failure after the inhalation of acid. The time range of ECLS application was 4.8-23.5 hours after toxic exposure. The causes of ECLS implementation were one for recurrent cardiac arrest, two for shock that did not respond to ACLS, and one for respiratory failure that did not respond to mechanical ventilator support. Three patients showed an improvement in blood pressure and serum lactate level and were discharged alive. In case 1, ECLS was stared at 23.5 hours post toxic exposure; the patient died due to refractory shock and multiple organ failure. CONCLUSION: The specific management of ECLS should be considered when a patient with acute intoxication does not recovery from shock or respiratory failure despite ACLS, antidote therapies, or mechanical ventilator support. ECLS improved the hemodynamic and ventilator condition in complicated poisoned patients. The early application of ECLS may improve the tissue perfusion state and outcomes of these patients before the toxic damage becomes irreversible.
Advanced Cardiac Life Support ; Antidotes ; Blood Pressure ; Hand ; Heart Arrest ; Hemodynamics ; Humans ; Inhalation ; Lactic Acid ; Mortality ; Multiple Organ Failure ; Perfusion ; Poisoning* ; Respiratory Insufficiency ; Shock ; Ventilators, Mechanical

We validated the basic life support termination of resuscitation (BLS TOR) rule retrospectively using Out-of-Hospital Cardiac Arrest (OHCA) data of metropolitan emergency medical service (EMS) in Korea. We also tested it by investigating the scene time interval for supplementing the BLS TOR rule. OHCA database of Seoul (January 2011 to December 2012) was used, which is composed of ambulance data and hospital medical record review. EMS-treated OHCA and 19 yr or older victims were enrolled, after excluding cases occurred in the ambulance and with incomplete information. The primary and secondary outcomes were hospital mortality and poor neurologic outcome. After calculating the sensitivity (SS), specificity (SP), and the positive and negative predictive values (PPV and NPV), tested the rule according to the scene time interval group for sensitivity analysis. Of total 4,835 analyzed patients, 3,361 (69.5%) cases met all 3 criteria of the BLS TOR rule. Of these, 3,224 (95.9%) were dead at discharge (SS,73.5%; SP,69.6%; PPV,95.9%; NPV, 21.3%) and 3,342 (99.4%) showed poor neurologic outcome at discharge (SS, 75.2%; SP, 89.9%; PPV, 99.4%; NPV, 11.5%). The cut-off scene time intervals for 100% SS and PPV were more than 20 min for survival to discharge and more than 14 min for good neurological recovery. The BLS TOR rule showed relatively lower SS and PPV in OHCA data in Seoul, Korea.
Adult ; Advanced Cardiac Life Support/*mortality ; Cardiopulmonary Resuscitation/*mortality ; Critical Care/statistics & numerical data ; Decision Support Techniques ; Electric Countershock/*mortality ; Emergency Medical Services ; Female ; Hospital Mortality ; Humans ; Male ; Out-of-Hospital Cardiac Arrest/*epidemiology/*mortality/therapy ; Refusal to Treat ; Republic of Korea/epidemiology ; Retrospective Studies ; Survival Rate ; Time Factors ; Time-to-Treatment ; Treatment Outcome

The aim of this study was to describe the cause of the recent improvement in the outcomes of patients who experienced in-hospital cardiac arrest. We retrospectively analyzed the in-hospital arrest registry of a tertiary care university hospital in Korea between 2005 and 2009. Major changes to the in-hospital resuscitation policies occurred during the study period, which included the requirement of extensive education of basic life support and advanced cardiac life support, the reformation of cardiopulmonary resuscitation (CPR) team with trained physicians, and the activation of a medical emergency team. A total of 958 patients with in-hospital cardiac arrest were enrolled. A significant annual trend in in-hospital survival improvement (odds ratio = 0.77, 95% confidence interval 0.65-0.90) was observed in a multivariate model. The adjusted trend analysis of the return of spontaneous circulation, six-month survival, and survival with minimal neurologic impairment upon discharge and six-months afterward revealed similar results to the original analysis. These trends in outcome improvement throughout the study were apparent in non-ICU (Intensive Care Unit) areas. We report that the in-hospital survival of cardiac arrest patients gradually improved. Multidisciplinary hospital-based efforts that reinforce the Chain of Survival concept may have contributed to this improvement.
Advanced Cardiac Life Support ; Aged ; Cardiopulmonary Resuscitation ; Education, Continuing ; Female ; Heart Arrest/*mortality ; Hospitals ; Humans ; Intensive Care Units ; Male ; Middle Aged ; Multivariate Analysis ; Odds Ratio ; Republic of Korea ; Retrospective Studies ; Survival Rate