Does delta neutrophil index predict 30-day mortality in patients admitted tointensive care unit via emergency department?

Objective@#A retrospective study was performed to evaluate the usefulness of the delta neutrophil index as a prognosticfactor for mortality in intensive care unit patients admitted via the emergency department. @*Methods@#Patients, who presented to the emergency department and were admitted to the intensive care unit fromJanuary 2018 to August 2018, were reviewed retrospectively. The clinical features, inflammatory marker levels, such asC-reactive protein, lactate, simplified acute physiology score 3, length of stay, and in-hospital mortality were obtainedfrom the medical records. Patients, who visited the emergency department because of trauma or suicidal attempts,arrived after out-hospital cardiac arrest, or were diagnosed with cerebrovascular disease, were excluded. @*Results@#Of the 310 patients included, 65 died during their admission, and 245 patients were discharged after treatment.The receiver operating characteristic curve showed that the delta neutrophil index (area under curve [AUC], 0.72), Creactiveprotein (AUC, 0.70), lactate (AUC, 0.64), and simplified acute physiology score 3 (AUC, 0.79) indicated a lowpredictive power for in-hospital mortality. Whole patients were divided into four subgroups (infectious diseases, cardiovasculardiseases, gastrointestinal bleeding diseases, and others). The receiver operating curve of delta neutrophil indexrevealed infectious diseases (AUC, 0.65), in cardiovascular diseases (AUC, 0.70), and gastrointestinal bleeding diseases(AUC, 0.79). @*Conclusion@#The role of the delta neutrophil index for predicting the prognosis of in-hospital mortality showed equally lowpredictive power for critically ill patients with the C-reactive protein and lactate.

Clinical Significance of Hyperlactatemia and Acidosis in Patients with Suspected Generalized Convulsion

PURPOSE: To determine the clinical usefulness of lactic acidosis in an evaluation of patients with suspected generalized convulsion. METHODS: This was retrospective cohort study. The correlation between the lactate level and the time to blood gas analysis (ABGA) was analyzed in patients who had a final diagnosis of seizure to exclude the time effect on the spontaneous clearance of lactate. The patient's data in the true seizure group and false seizure group was then compared. The receiver operating characteristics (ROC) curve of lactate, pH and base deficit for diagnosing true seizure was drawn. The sensitivity and specificity of the presence of hyperlactatemia or acidosis for a diagnosis of seizure and predicting epileptiform discharge at electroencephalography (EEG) was analyzed. RESULTS: Of the 173 patients suspected of having generalized convulsion, 136 patients were diagnosed with a true seizure on hospital discharge and patients whose ABGA was performed within 60 minutes after seizure showed a significantly higher arterial lactate level, lower arterial pH and base deficit than the patients whose ABGA was performed after 60 minutes of seizure onset. 62 patients whose ABGA was performed 60 minutes after symptom onset were excluded. Finally, of 111 patients, 89 patients with true seizure showed a significantly higher arterial lactate level, lower arterial pH and base deficit than the 22 patients with false seizure. The ROC curve of lactate, pH and base deficit showed a significant area under the curve for diagnosing true seizure. The presence of hyperlactatemia or acidosis showed high sensitivity for diagnosing true seizure and expecting epileptiform EEG when they were measured with 60 minutes after symptom onset. CONCLUSION: In patients with suspected generalized convulsion, upon presentation to the ED within 60 min of symptom onset, the presence of hyperlactatemia or acidosis increased the likelihood of a true seizure and might be an objective indicator for further evaluations of seizure. On the other hand, normal lactate levels and no acidosis could not exclude a true seizure.

Effect of beta-hCG with a Point-of-Care Test in the Emergency Department

PURPOSE: The rapid and accurate diagnosis of pregnancy is important in the emergency department (ED) before evaluation of radiologic tests and medication decisions. Our primary objective was to assess the agreement between whole blood pregnancy tests done in the emergency department and those done in laboratory [serum human chorionic gonadotropin (beta-hCG) and urine beta-hCG]. The secondary objective was to compare turnaround times for tests done in the ED and those done in the laboratory. METHODS: This prospective study enrolled females of childbearing age needing a pregnancy test who visited an ED. Using whole blood, urine and serum from each patient, testing was done in the ED (whole blood - Hubi Quan pro-point of care test, POCT) and in the laboratory using a urine hCG kit (iIexscreen) and in serum (ADVIA centaur). The data included time of each test, beta-hCG result, and urine pregnancy test result. RESULTS: There was a high level of agreement between the POCT using whole blood and the serum beta-hCG as indicated by a kappa value of 0.921(95% confidence interval). The POCT performed in the ED was significantly faster in time to report than tests performed in the laboratory, with mean differences of 20.21+/-2.0 minutes and 36.14+/-20.86 minutes. The sensitivity and specificity of POCT was 98.18% and 93.75%, respectively. CONCLUSION: In ED, the POCT test can perform pregnancy test as accurately as in the laboratory, and can provide results on which to base care much faster than waiting for the laboratory results. POCT may expedite the ED management of patients who require pregnancy tests. Especially, this POCT uses whole blood instead of the urine, since the latter was inconvenient for the test.

Early Traumatic Deaths

PURPOSE: In Korea, trauma is the 3rd most common cause of death. The trauma treatment system is divided into pre-hospital and hospital stages. Deaths occurring in the pre-hospital stage are 50% of the total death, and 20% of those are deaths that are preventable. Therefore, the purpose of our study is to calculate the preventable death rates caused by trauma in our current pre-hospital system, to analyze the appropriateness of the treatment of traumatized patients and to draw a conclusions about the problems we have. METHODS: The study was done on traumatized patients who expired at the emergency department from January 1, 2005, to December 31, 2009, at the Korea University Medical Centers in Anam, Guro and Ansan. The data on the patients were reviewed retrospectively based on characteristics, conditions on admission and trauma severity. The patient's RTS (revised trauma score) and ISS (injury severity score) was calculated. Preventable death rate was calculated by TRISS (the trauma score-injury severity score). RESULTS: A total of 168 patients were enrolled. All patients were intubated and underwent CPR. Of the total, 72% patients were male, and traffic accidents were the most common form of trauma (52.4%), falls being second (28.6%). Head injury, solitary or multiple, was the most common cause of death (55.4%). Thirty-eight (38, 22.6%) deaths were preventable. The 22.6% preventable death rate consisted of 15.5% potentially preventable and 7.1% definitely preventable deaths. Based on a logistic regression analysis, the relationship between the time intervals until transfusion and imaging and death was statistically significant in the hospital stage. In the pre-hospital stage, transit time from the site of the injury to the hospital showed a significant relationship with the mortality rate. CONCLUSION: One hundred sixty-eight (168) patients died of trauma at the 3 hospitals of Korea University Medical Center. The TRISS method was used to calculate the preventable death rate, with a result of 22.6%. The only factor that was significant related to the preventable death rate in the pre-hospital stage was the time from injury to hospital arrival, and the time intervals until transfusion and imaging were the two factors that showed significance in the hospital stage. Shortening the time of treatment in the field and transferring the patient to the hospital as quickly as possible is the most important life-saving step in the pre-hospital stage. In the hospital stage, the primary survey, resuscitation and diagnosis should proceed simultaneously.