Objective To build a score with the coagulation, inflammation indexes of sepsis patients, named Sepsis-Related Coagulo-Inflammatory Score (SRCIS), and then evaluate the prognostic capability of it in predicting the 28-day mortality of septic patients after the diagnosis. Methods In this prospective nested case-control study, we recruited septic patients according to the Sepsis 3.0 standards, who visited the Emergency Department, West China Hospital of Sichuan University from September 2017 to January 2018. Multiple factor analysis was conducted to confirm which coagulation or inflammation biomarkers were independent risk factors related to the 28-day mortality after their diagnosis. After that, the SRCIS was built based on those independent risk factors. Finally, receiver operating characteristic curve (ROC) analysis was conducted to verify its prognostic capability for the 28-day mortality of septic patients. Results A total of 123 cases were included. Among them, 17 patients died within 28 days, and the mortality rate was 13.8%. There were no significant differences in the demographic characteristics or comorbidities between the survival group and dead group (P>0.05). Multivariate logistic analysis showed that both activated partial thromboplastin time (APTT) [odds ratio (OR)=1.015, 95% confidence interval (CI) (1.017, 1.189), P=0.017] and C-reactive protein (CRP) [OR=1.100, 95%CI (1.006, 1.025), P=0.002] were independent risk factors for predicting the 28-day mortality of septic patients. ROC analysis indicated that the cut-off values of APTT and CRP predicting the 28-day mortality rate of sepsis were 39.25 seconds and 198.05 mg/L, respectively, and the areas under the curve (AUC) of them were 0.618 and 0.671, respectively. The results indicated that the mortality increased from 8.79% to 28.13%, when APTT prolonged to no less than 39.25 seconds (P<0.05). The mortality also increased from 8.89% to 27.27% when CRP elevated to no less than 198.05 mg/L (P<0.05). The AUC of SRCIS in predicting the 28-day mortality of patients with sepsis was 0.707, which was better than that of Sequential Organ Failure Assessment (SOFA) (AUC=0.681) and quick Sequential Organ Failure Assessment (qSOFA) (AUC=0.695). The corresponding 28-day mortality rates for patients with sepsis were 6.94%, 16.22%, and 42.86% (P<0.05), respectively, when the SRCIS score were 0, 1, and 2. Conclusions APTT and CRP are independent risk factors in predicting the 28-day mortality of patients with sepsis. Compared with traditional scoring systems such as SOFA and qSOFA, SRCIS performances better in predicting the 28-day mortality for patients with sepsis.
ObjectiveTo explore the value of platelet-lymphocyte ratio (PLR) after return of spontaneous circulation (ROSC) combined with Sequential Organ Failure Assessment (SOFA) for estimating the short-term prognosis of ROSC patients suffered from in-hospital cardiac arrest (IHCA).MethodsROSC adult patients who suffered from IHCA during treatment in the Emergency Department of West China Hospital of Sichuan University between 00:00, August 1st, 2010 and 23:59, July 31st, 2018 were included retrospectively. The basic and clinical data of patients were collected. Patients were divided into survival group and death group according to the 28-day prognosis. Through logistic regression and receiver operating characteristic (ROC) curve analysis, the efficacy of PLR after ROSC combined with SOFA score in predicting the 28-day prognosis of IHCA patients was explored.ResultsA total of 199 patients were included, including 135 males and 64 females, with a mean age of (60.45±17.52) years old. There were 154 deaths and 45 survivors within 28 days. There were statistically significant differences between the survival group and the death group in terms of epinephrine dosage, SOFA score, proportion of patients complicated with respiratory diseases, and post-ROSC laboratory indexes including PLR, hemoglobin, red blood cell count, lymphocyte count, indirect bilirubin, serum albumin, cholesterol, and activated partial thrombin time (P<0.05). The result of multivariate logistic regression analysis showed that epinephrine dosage [odds ratio (OR)=1.177, 95% confidence interval (CI) (1.024, 1.352), P=0.022], SOFA score [OR=1.536, 95%CI (1.173, 2.010), P=0.002], PLR after ROSC [OR=1.011, 95%CI (1.004, 1.018), P=0.002] were independent risk factors for ROSC patients’ death on day 28. The areas under the ROC curve of epinephrine dosage, SOFA score and PLR after ROSC were 0.702, 0.703 and 0.737, respectively, to predict the patients’ 28-day outcome. Combining the epinephrine dosage and PLR after ROSC with SOFA score respectively to predict the 28-day outcome of patients, the areas under the ROC curve were 0.768 and 0.813, respectively.ConclusionsThe significant increase of PLR after ROSC is an independent risk factor for death within 28 days after ROSC. The combined application of PLR after ROSC and SOFA score in the 28-day outcome prediction of patients has better predictive efficacy.
ObjectiveTo investigate the risk factors affecting the 28-day neurological outcome after admission of patients with sepsis complicated with consciousness disorder, create a simple scoring system, and evaluate its predictive value for the poor neurological outcome.MethodsWe retrospectively collected and analyzed the demographic data, clinical data, 28-day survival status and neurologic outcome of patients with sepsis complicated with disturbance of consciousness admitted to the Emergency Department of West China Hospital of Sichuan University between June 1st, 2017 and May 31st, 2018. Independent risk factors for the 28-day neurologic outcome of patients with disturbance of consciousness were obtained through univariate analyses and multiple logistic regression analysis, and then the continuous variables of risk factors were converted to binary variables according to the cut-off values from receiver operating characteristic (ROC) curve analysis, a simple scoring system was established and it’s predictive value for 28-day neurological outcome of patients with sepsis complicated with consciousness disorder was assessed.ResultsA total of 149 patients with sepsis complicated with consciousness disorder were included in this study, including 103 males (69.1%) and 46 females (30.9%), with an average age of (58.2±18.6) years old. There were 72 patients (48.3%) with poor outcome of neurological function on Day 28 after admission. Multiple logistic regression analysis revealed that total bile acid [odds ratio (OR)=1.040, 95% confidence interval (CI) (1.004, 1.077), P=0.027], blood ammonia [OR=1.014, 95%CI (1.001, 1.027), P=0.030], pulmonary infection [OR=3.255, 95%CI (1.401, 7.566), P=0.006], and Glasgow Coma Score (GCS) [OR=0.837, 95%CI (0.739, 0.949), P=0.005] were independent influencing factors for the poor neurological function in patients with sepsis complicated with consciousness disorder on Day 28 after admission. The area under the ROC curve predicting the 28-day poor neurological function was 0.754 [95%CI (0.676, 0.832)], and the sensitivity and specificity were 79.2% and 63.6%, respectively.ConclusionFor emergency patients with sepsis complicated with consciousness disorder, a simple scoring system based on early GCS, pulmonary infection, serum ammonia, and total bile acid has a favorable predictive value for short-term neurological function.
Objective To explore factors affecting the shunt safety of patients in emergency intensive care unit (EICU), construct a shunt safety evaluation model, and evaluate its prediction effectiveness, so as to provide a theoretical basis for the decision-making of shunt safety in EICU. Methods The demographic data, vital signs, laboratory examinations and other indicators of patients transferred to the general ward from the EICU of West China Hospital of Sichuan University from 0:00 on August 1, 2019 to 23:59 on May 31, 2021 were collected and analyzed. The short-term poor prognosis after being transferred out of the EICU was regarded as the end-point event. Of the patients, 70% were randomly selected as the model construction cohort, and 30% were the model validation cohort. In the model construction cohort, multivariate logistic regression analysis was used to screen the influencing factors affecting shunt safety, and the shunt safety evaluation model of patients in EICU was constructed. In the validation cohort, receiver operating characteristic curve was used to evaluate the effectiveness of the model in evaluating the shunt safety of patients in EICU. Results A total of 582 patients were included, of whom 59 patients (10.1%) had a poor short-term prognosis. Multivariate logistic regression analysis showed that the patients’ respiratory rate when leaving the EICU [odds ratio (OR)=0.863, 95% confidence interval (CI) (0.794, 0.938), P=0.001], Glasgow Coma Scale scores [OR=1.575, 95%CI (1.348, 1.841), P<0.001], albumin [OR=1.137, 95%CI (1.008, 1.282), P=0.036], prothrombin time [OR=0.956, 95%CI (0.914, 1.000), P=0.048] were the influencing factors of shunt safety. Based on the above indicators, a shunt safety evaluation model for patients in EICU was created. The area under the curve for the shunt safety assessment model to predict poor short-term prognosis was 0.815, the best cut-off value was 4 points, the sensitivity was 93.3%, and the specificity was 61.5%. Conclusions The patients’ respiratory rate when leaving EICU, Glasgow Coma Scale scores, albumin and prothrombin time are factors affecting the shunt safety for patients in EICU. The shunt safety assessment model can better predict the short-term poor prognosis of patients transferred from EICU to general ward.
The International Liaison Committee on Resuscitation published the 2022 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations in Circulation, Resuscitation, and Pediatrics in November 2022. This consensus updates and recommends important aspects of cardiopulmonary resuscitation based on recently published resuscitation evidence. Herein, we interpret the consensus focusing on adult cardiopulmonary resuscitation including basic life support (ventilation techniques, compressions pause, transport strategies during resuscitation, and resuscitation procedures in drowning), advanced life support (target temperature management, point-of-care ultrasound as a diagnostic tool during cardiac arrest, vasopressin and corticosteroids for cardiac arrest, and post-cardiac arrest coronary angiography), cardiopulmonary resuscitation education/implementation/team (survival prediction after resuscitation of patients with in-hospital cardiac arrest, basic life support training, advanced life support training, blended learning for life support education, and faculty development approaches for life support courses) and recovery positions on rescue scene. This consensus provides important guidance for clinical practice and clear hints for the development of clinical research.
ObjectiveTo investigate the epidemiological situation of pre-hospital emergency elderly and non-elderly patients in Chengdu and explore the characteristics of pre-hospital care in the city.MethodAll pre-hospital care records in the Chengdu 120 Emergency System Database in 2017 were retrospectively collected. According to the age of the patients, they were divided into the elderly group (≥60 years old) and the non-elderly group (<60 years old). The disease spectrum, the trends of the number of emergency help calls, the changes in different diseases over time, as well as the disease composition of the patients who died in the two groups were compared.ResultsA total of 179 387 pre-hospital emergency patients were enrolled, including 59 980 elderly patients and 119 407 non-elderly patients. Most of them were male patients in both groups. Patients in the elderly group were mainly between 60 to 89 years old, and the ones in the non-elderly group were mainly between 18 to 59 years old. The pre-hospital emergency patients in the elderly group presented with trauma, nervous system, symptoms and signs, and cardiovascular system diseases mainly, accounting for 29.19%, 14.64%, 13.82%, and 12.86%, respectively. In the non-elderly group, trauma, acute poisoning, and symptoms and signs were predominant, accounting for 50.89%, 10.98%, and 10.08%, respectively. Among the pre-hospital deaths, the number in the elderly group was the larger, accounting for 69.61% (7 043 cases); the mortality rate was 11.74%, with sudden death (28.70%), cardiovascular diseases (25.95%), and respiratory diseases (16.07%) being the major causes. The pre-hospital mortality rate of non-elderly patients was 2.58%, mainly including traumatic diseases (35.41%), sudden death (unknown cause of death) (25.33%), and cardiovascular diseases (17.56%). The number of emergency help calls in the elderly group began to increase gradually from September, reaching a peak in December and hitting the trough in February. While in the non-elderly group, the peak of the emergency help calls appeared in July, and it also fell to the lowest in February. The proportion of the number of emergency help calls in the elderly group was higher in January to February and October to December; while the peak in non-elderly group was in July. The number of emergency help calls in the elderly group were mainly concentrated in the daytime (08:00 to 20:00). In the non-elderly group, the changes in the number of emergency help calls were similar to that of the elderly, however, with another peak (20:00 to 24:00). The proportion of the number of emergency help calls in the elderly group was 06:00 to 09:59, and the peak time of the non-elderly group was in the early morning (00:00 to 04:59) and night (20:00 to 23:59).ConclusionsThe number of pre-hospital care for elderly and non-elderly patients has its own characteristics in terms of the time and the distribution of disease spectrum. Trauma and cardiovascular diseases are the most common causes of pre-hospital care and death in Chengdu. And the pre-hospital mortality in the elderly group is much larger than that in non-elderly group. Relevant departments can allocate emergency resources rationally, and focus on improving the on-site rescue capacity towards related diseases.
Objective To analyze the current situation and demand of emergency and critical care training for medical staff in plateau areas, and to provide a reference for further emergency and critical care training for medical staff in plateau areas. Methods From July 1, 2018 to July 30, 2020, medical staff (including physicians, nursing staff, and other medical staff) from hospitals in various regions of Tibet were surveyed anonymously, to investigate the content and demand of medical staff in plateau areas receiving emergency and critical care training. The content and demand of medical staff from different levels of hospitals receiving emergency and critical care training were further compared. Results A total of 45 questionnaires were distributed in this study, and a total of 43 valid questionnaires were collected, with an effective response rate of 95.6%. The average age of medical staff was (35.67±9.17) years old, with a male to female ratio of 1∶1.5. The proportion of tertiary, secondary, and lower level hospitals to which medical staff belong were 23.3%, 27.9%, and 48.8%, respectively. The number and proportion of medical staff receiving training on chest pain, heart failure, stroke, gastrointestinal bleeding, respiratory failure, metabolic crisis, and sepsis diseases were 25 (58.1%), 25 (58.1%), 24 (55.8%), 23 (53.5%), 20 (46.5%), 14 (32.6%), and 12 (27.9%), respectively. The number and proportion of medical staff who believed that training in the heart failure, respiratory failure, metabolic diseases, stroke, gastrointestinal bleeding, chest pain, and sepsis needed to be strengthened were 38 (88.4%), 36 (83.7%), 35 (81.4%), 34 (79.1%), 34 (79.1%), 33 (76.7%), and 29 (67.4%), respectively. Thirteen medical staff (30.2%) hoped to acquire knowledge and skills through teaching. There were no statistically significant differences in gender, age, job type, professional title, and department type among medical staff from tertiary, secondary, and lower level hospitals participating in the survey (P>0.05). The proportion of medical staff in hospitals below secondary receiving training on chest pain was lower than that in second level hospitals (38.1% vs. 91.7%). The proportion of medical staff in hospitals below secondary receiving training on heart failure was lower than that in secondary and tertiary hospitals (38.1% vs. 75.0% vs. 80.0%). The proportion of medical staff in hospitals below secondary receiving training on respiratory failure was lower than that in tertiary hospitals (28.6% vs. 80.0%). The demand for sepsis training among medical staff in hospitals below secondary was higher than that in tertiary hospitals (85.7% vs. 30.0%). There was no statistically significant difference in the other training contents and demands (P>0.05). Conclusion The content of critical care training for medical staff in plateau areas cannot meet their demands, especially for medical staff in hospitals below secondary. In the future, it is necessary to strengthen training support, allocate advantageous resources to different levels of hospitals, expand the scope of training coverage, and enrich training methods to better improve the ability of medical personnel in plateau areas to diagnose and treat related diseases.
ObjectiveTo investigate the prognostic value of acute kidney injury (AKI) in patients with severe pneumonia complicated with sepsis.MethodsWe retrospectively analyzed the demographic data, vital signs, laboratory examination and other data of 462 patients with severe pneumonia complicated with sepsis in the Department of Emergency West China hospital, Sichuan University from July 2015 to June 2016, as well as the 7-day and 28-day mortality, 28-day mechanical ventilation rate and 28-day intensive care unit (ICU) hospitalization rate. Multivariate logistic regression analysis was used to determine the correlation between AKI and 28-day mortality in patients with severe pneumonia complicated with sepsis at admission.ResultsA total of 462 patients with severe pneumonia complicated with sepsis were retrospectively enrolled in this study. AKI patients at admission had a higher proportion of 7-day (24.6% vs. 9.7%, P<0.001) and 28-day mortality (44.3% vs. 21.2%, P<0.001), 28-day mechanical ventilation rate (63.9% vs. 45.9%, P=0.009) and 28-day ICU admission rate (65.6% vs. 39.4%, P<0.001) than non-AKI patients. There was a significant difference between the two groups (P<0.05). The scores of systemic infection-related organ failure assessment and acute physiology and chronic health evaluationⅡof AKI patients at admission were significantly higher than those of non-AKI patients at admission (P<0.05). Multivariate logistic regression analysis showed that AKI at admission was an independent risk factor for 28-day mortality in patients with severe pneumonia complicated with sepsis [odds ratio: 2.266, 95% confidence interval (1.058, 4.854), P=0.035].ConclusionAKI at admission is helpful for identifying high-risk pneumonia patients complicated with sepsis, and thus may guide the clinical managements of precise medicine.
American Heart Association updated the guidelines for cardiopulmonary resuscitation (CPR) and emergency cardiovascular care in November 2019. This focused update incorporates the systematic review conducted by the International Liaison Committee on Resuscitation, an expert group consisting of hundreds of international resuscitation scientists, to identify the new evidence supporting the basic and advanced life support and first aid in emergency medical care. This focused update involves the life chain of CPR (dispatcher-assisted CPR and cardiac arrest centers), advanced cardiovascular life support (advanced airways, vasopressors, and extracorporeal CPR), and first aid for presyncope. This present review aims to interpret these updates by reviewing the literature and comparing the recommendations in this update with previous guidelines.
American Heart Association issued American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care in October 2020. A sixth link, recovery, has been added to both the adult out-of-hospital cardiac arrest chain and in-hospital cardiac arrest chain in this version of the guidelines to emphasize the importance of recovery and survivorship for resuscitation outcomes. Analogous chains of survival have also been developed for adult out-of-hospital cardiac arrest and in-hospital cardiac arrest. The major new and updated recommendations involve the early initiation of cardiopulmonary resuscitation by lay rescuers, early administration of epinephrine, real-time audiovisual feedback, physiologic monitoring of cardiopulmonary resuscitation quality, double sequential defibrillation not supported, intravenous access preferred over intraosseous, post-cardiac arrest care and neuroprognostication, care and support during recovery, debriefings for rescuers, and cardiac arrest in pregnancy. This present review aims to interpret these updates by reviewing the literature and comparing the recommendations in these guidelines with previous ones.