Factors influencing pulmonary infection in elderly neurocritical patients and their predictive values: a data analysis for consecutive four-year / 中华危重病急救医学

Objective:To analyze the factors influencing pulmonary infections in elderly neurocritical patients in the intensive care unit (ICU) and to explore the predictive value of risk factors for pulmonary infections.Methods:The clinical data of 713 elderly neurocritical patients [age ≥ 65 years, Glasgow coma score (GCS) ≤ 12 points] admitted to the department of critical care medicine of the Affiliated Hospital of Guizhou Medical University from 1 January 2016 to 31 December 2019 were retrospectively analyzed. According to whether or not they had HAP, the elderly neurocritical patients were divided into hospital-acquired pneumonia (HAP) group and non-HAP group. The differences in baseline data, medication and treatment, and outcome indicators between the two groups were compared. Logistic regression analysis was used to analyze the factors influencing the occurrence of pulmonary infection.The receiver operator characteristic curve (ROC curve) was plotted for risk factors and a predictive model was constructed to evaluate the predictive value for pulmonary infection.Results:A total of 341 patients were enrolled in the analysis, including 164 non-HAP patients and 177 HAP patients. The incidence of HAP was 51.91%. According to univariate analysis, compared with the non-HAP group, mechanical ventilation time, the length of ICU stay and total hospitalization in the HAP group were significantly longer [mechanical ventilation time (hours): 171.00 (95.00, 273.00) vs. 60.17 (24.50, 120.75), the length of ICU stay (hours): 263.50 (160.00, 409.00) vs. 114.00 (77.05, 187.50), total hospitalization (days): 29.00 (13.50, 39.50) vs. 27.00 (11.00, 29.50), all P < 0.01], the proportion of open airway, diabetes, proton pump inhibitor (PPI), sedative, blood transfusion, glucocorticoids, and GCS ≤ 8 points were significantly increased than those in HAP group [open airway: 95.5% vs. 71.3%, diabetes: 42.9% vs. 21.3%, PPI: 76.3% vs. 63.4%, sedative: 93.8% vs. 78.7%, blood transfusion: 57.1% vs. 29.9%, glucocorticoids: 19.2% vs. 4.3%, GCS ≤ 8 points: 83.6% vs. 57.9%, all P < 0.05], prealbumin (PA) and lymphocyte count (LYM) decreased significantly [PA (g/L): 125.28±47.46 vs. 158.57±54.12, LYM (×10 9/L): 0.79 (0.52, 1.23) vs. 1.05 (0.66, 1.57), both P < 0.01]. Logistic regression analysis showed that open airway, diabetes, blood transfusion, glucocorticoids and GCS ≤ 8 points were independent risk factors for pulmonary infection in elderly neurocritical patients [open airway: odds ratio ( OR) = 6.522, 95% confidence interval (95% CI) was 2.369-17.961; diabetes: OR = 3.917, 95% CI was 2.099-7.309; blood transfusion: OR = 2.730, 95% CI was 1.526-4.883; glucocorticoids: OR = 6.609, 95% CI was 2.273-19.215; GCS ≤ 8 points: OR = 4.191, 95% CI was 2.198-7.991, all P < 0.01], and LYM, PA were the protective factors for pulmonary infection in elderly neurocritical patients (LYM: OR = 0.508, 95% CI was 0.345-0.748; PA: OR = 0.988, 95% CI was 0.982-0.994, both P < 0.01). ROC curve analysis showed that the area under the ROC curve (AUC) for predicting HAP using the above risk factors was 0.812 (95% CI was 0.767-0.857, P < 0.001), with a sensitivity of 72.3% and a specificity of 78.7%. Conclusions:Open airway, diabetes, glucocorticoids, blood transfusion, GCS ≤ 8 points are independent risk factors for pulmonary infection in elderly neurocritical patients. The prediction model constructed by the above mentioned risk factors has certain predictive value for the occurrence of pulmonary infection in elderly neurocritical patients.

Prognosis of patients planned and unplanned admission to the intensive care unit after surgery: a comparative study / 中华危重病急救医学

OBJECTIVE@#To compare and analyze the effect of unplanned versus planned admission to the intensive care unit (ICU) on the prognosis of high-risk patients after surgery, so as to provide a clinical evidence for clinical medical staff to evaluate whether the postoperative patients should be transferred to ICU or not after surgery.@*METHODS@#The clinical data of patients who were transferred to ICU after surgery admitted to the Affiliated Hospital of Guizhou Medical University from January to December in 2021 were retrospectively analyzed, including gender, age, body mass index, past history (whether combined with hypertension, diabetes, pulmonary disease, cardiac disease, renal failure, liver failure, hematologic disorders, tumor, etc.), acute physiology and chronic health evaluation II (APACHE II), elective surgery, pre-operative hospital consultation, length of surgery, worst value of laboratory parameters within 24 hours of ICU admission, need for invasive mechanical ventilation (IMV), duration of IMV, length of ICU stay, total length of hospital stay, ICU mortality, in-hospital mortality, and survival status at 30th day postoperative. The unplanned patients were further divided into the immediate transfer group and delayed transfer group according to the timing of their ICU entrance after surgery, and the prognosis was compared between the two groups. Cox regression analysis was used to find the independent risk factors of 30-day mortality in patients transferred to ICU after surgery.@*RESULTS@#Finally, 377 patients were included in the post-operative admission to the ICU, including 232 in the planned transfer group and 145 in the unplanned transfer group (42 immediate transfers and 103 delayed transfers). Compared to the planned transfer group, patients in the unplanned transfer group had higher peripheral blood white blood cell count (WBC) at the time of transfer to the ICU [×109/L: 10.86 (7.09, 16.68) vs. 10.11 (6.56, 13.27)], longer total length of hospital stay [days: 23.00 (14.00, 34.00) vs. 19.00 (12.00, 29.00)], and 30-day post-operative mortality was higher [29.66% (43/145) vs. 17.24% (40/232)], but haemoglobin (Hb), arterial partial pressure of carbon dioxide (PaCO2), oxygenation index (PaO2/FiO2), and IMV requirement rate were lower [Hb (g/L): 95.00 (78.00, 113.50) vs. 98.00 (85.00, 123.00), PaCO2 (mmHg, 1 mmHg ≈ 0.133 kPa): 36.00 (29.00, 41.50) vs. 39.00 (33.00, 43.00), PaO2/FiO2 (mmHg): 197.00 (137.50, 283.50) vs. 238.00 (178.00, 350.25), IMV requirement rate: 82.76% (120/145) vs. 93.97% (218/232)], all differences were statistically significant (all P < 0.05). Kaplan-Meier survival curve showed that the 30-day cumulative survival rate after surgery was significantly lower in the unplanned transfer group than in the planned transfer group (Log-Rank test: χ2 = 7.659, P = 0.006). Univariate Cox regression analysis showed that unplanned transfer, APACHE II score, whether deeded IMV at transfer, total length of hospital stay, WBC, blood K+, and blood lactic acid (Lac) were associated with 30-day mortality after operation (all P < 0.05). Multifactorial Cox analysis showed that unplanned transfer [hazard ratio (HR) = 2.45, 95% confidence interval (95%CI) was 1.54-3.89, P < 0.001], APACHE II score (HR = 1.03, 95%CI was 1.00-1.07, P = 0.031), the total length of hospital stay (HR = 0.86, 95%CI was 0.83-0.89, P < 0.001), the need for IMV on admission (HR = 4.31, 95%CI was 1.27-14.63, P = 0.019), highest Lac value within 24 hours of transfer to the ICU (HR = 1.17, 95%CI was 1.10-1.24, P < 0.001), and tumor history (HR = 3.12, 95%CI was 1.36-7.13, P = 0.007) were independent risk factors for patient death at 30 days post-operative, and the risk of death was 2.45 times higher in patients unplanned transferred than in those planned transferred. Subgroup analysis showed that patients in the delayed transfer group had significantly longer IMV times than those in the immediate transfer group [hours: 43.00 (11.00, 121.00) vs. 17.50 (2.75, 73.00), P < 0.05].@*CONCLUSIONS@#The 30-day mortality, WBC and total length of hospital stay were higher in patients who were transferred to ICU after surgery, and PaO2/FiO2 was lower. Unplanned transfer, oncology history, use of IMV, APACHE II score, total length of hospital stay, and Lac were independent risk factors for patient death at 30 days postoperatively, and patients with delayed transfer to ICU had longer IMV time.

Prevalence, risk factors and characteristics of delirium in intensive care unit patients: a prospective observational study / 中华危重病急救医学

OBJECTIVE@#To investigate the prevalence, risk factors, duration and outcome of delirium in intensive care unit (ICU) patients.@*METHODS@#A prospective observational study was conducted for critically ill patients admitted to the department of critical care medicine, the Affiliated Hospital of Guizhou Medical University from September to November 2021. Delirium assessments were performed twice daily using the Richmond agitation-sedation scale (RASS) and confusion assessment method of ICU (CAM-ICU) for patients who met the inclusions and exclusion criteria. Patient's age, gender, body mass index (BMI), underlying disease, acute physiologic assessment and chronic health evaluation (APACHE) at ICU admission, sequential organ failure assessment (SOFA) at ICU admission, oxygenation index (PaO2/FiO2), diagnosis, type of delirium, duration of delirium, outcome, etc. were recorded. Patients were divided into delirium and non-delirium groups according to whether delirium occurred during the study period. The clinical characteristics of the patients in the two groups were compared, and risk factors for the development of delirium were screened using univariate analysis and multivariate Logistic regression analysis.@*RESULTS@#A total of 347 ICU patients were included, and delirium occurred in 57.6% (200/347) patients. The most common type was hypoactive delirium (73.0% of the total). Univariate analysis showed statistically significant differences in age, APACHE score and SOFA score at ICU admission, history of smoking, hypertension, history of cerebral infarction, immunosuppression, neurological disease, sepsis, shock, glucose (Glu), PaO2/FiO2 at ICU admission, length of ICU stay, and duration of mechanical ventilation between the two groups. Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.045, 95% confidence interval (95%CI) was 1.027-1.063, P < 0.001], APACHE score at ICU admission (OR = 1.049, 95%CI was 1.008-1.091, P = 0.018), neurological disease (OR = 5.275, 95%CI was 1.825-15.248, P = 0.002), sepsis (OR = 1.941, 95%CI was 1.117-3.374, P = 0.019), and duration of mechanical ventilation (OR = 1.005, 95%CI was 1.001-1.009, P = 0.012) were all independent risk factors for the development of delirium in ICU patients. The median duration of delirium in ICU patients was 2 (1, 3) days. Delirium was still present in 52% patients when they discharged from the ICU.@*CONCLUSIONS@#The prevalence of delirium in ICU patients is over 50%, with hypoactive delirium being the most common. Age, APACHE score at ICU admission, neurological disease, sepsis and duration of mechanical ventilation were all independent risk factors for the development of delirium in ICU patients. More than half of patients with delirium were still delirious when they discharged from the ICU.

Analysis on the operation status of subspecialty of critical care medicine of hospital affiliated to Guizhou Medical University in the past 5 years / 中华危重病急救医学

Objective:Through retrospective analysis of the admission and treatment of patients in the department of critical care medicine of the Affiliated Hospital of Guizhou Medical University over the past 5 years, it provides a basis for the construction of the subspecialty of intensive care medicine.Methods:Collect clinical data of patients admitted to the department of critical care medicine of the Affiliated Hospital of Guizhou Medical University from January 1, 2016 to December 31, 2020, including gender, age, first consultation department, intensive care unit (ICU) hospitalization time, ventilator use time, main diagnosis, acute physiology and chronic health evaluationⅡ(APACHEⅡ) when transferred into and out of ICU, treatment results, whether to give mechanical ventilation, whether to use a non-invasive ventilator to assist breathing, whether to die in 24 hours, rescue times and success rate, etc. Changes in the above indicators during the 5 years were analyzed.Results:In the past 5 years, our hospital has treated 2 668 patients in the comprehensive ICU with severe neurological, severe circulation, and severe trauma as the main treatment area, including 1 648 males and 1 020 females; aged 6 months to 94 years old, the average age (53.49±19.03) years old. Neurosurgery (907 cases) was the most frequently diagnosed department, the top 3 diseases were cerebral hemorrhage (539 cases), septic shock (214 cases), and hypovolemic shock (200 cases); ICU hospitalization time was 126 (52, 253) hours, ventilator time was 65 (17, 145) hours, APACHE Ⅱ scores were 23.29±8.12 and 12.99±6.37 when transferred into and out of ICU. The proportion of receiving mechanical ventilation was 92.94% (2 147/2 310), and 314 cases used non-invasive ventilators. 84 cases died within 24 hours (mortality was 3.15%). A total of 2 585 rescues were performed, and the rescue success rate was 92.84% (2 400/2 585). From 2016 to 2020, the 5-year cure rates were 65.92%, 65.83%, 61.53%, 65.64%, 69.06%, respectively, and the 5-year mortality were 13.13%, 14.29%, 18.89%, 16.69%, 13.38%, respectively.Conclusions:With the continuous expansion of critical care medicine, the establishment of classified subspecialties can focus on the admission of patients, so that treatment can be professionalized and standardized, improve the cure rate, and reduce mortality. At the same time, medical staff can focus on management and learning related expertise to master the disease, it is also more in-depth, which is helpful for doctors to improve themselves, and is conducive to the proficiency of related sub-specialties, and lays a good foundation for the development of the department.

Survey and analysis on digital construction of primary hospitals in Guizhou Province / 中华危重病急救医学

Objective:To investigate the utilization status and awareness of digital hospital construction among medical staff in critical care department of primary hospitals, so as to promote the process of digital medical health.Methods:One to two doctors and nurses (in the department on that day) from public hospitals in 88 counties and urban areas in 9 cities of Guizhou Province were enrolled of field investigation. The questionnaires form were filled in on-site and sorted out and analyzed by special personnel.Results:A total of 297 medical staff from the department of critical care medicine of 146 hospitals were included. All the questionnaires were filled in with their real names, including 152 doctors and 145 nurses. There were 24 class Ⅲ Grade A hospitals and 122 class Ⅱ and all the hospitals had implemented digital information management. The awareness of hospital digital information management system was generally low among the surveyed medical staff, and the awareness of hospital information system (HIS) was the highest (86.5%), followed by laboratory information management system (LIS, 41.4%) and image archiving and communication system (PACS, 40.7%). The awareness of hospital management system (HERP) was the lowest (7.7%). The total number of remote consultations conducted by hospitals using big data Internet was 25 428 times in 2020, with a median of 24.5 (88.0, 240.0) times in each hospital. From 2018 to 2020, the total number of patients admitted to the intensive care unit of the hospital was 50 473, 57 565 and 57 907, respectively, of which the number of patients over 65 years old accounted for 37.47%, 41.26% and 43.31%, respectively (all P > 0.05). There were 4 242 cases of remote consultation using big data Internet in the department every year, with a median of 257.50 (96.50, 958.25) cases. 12.12% of the departments had independent critical monitoring systems, and 8.75% of them could capture data automatically to form tables. 96.30% of the medical staff participated in systematic and professional training on basic knowledge, basic theory and basic medical care skills through the Internet platform, and the number of meetings, studies and training in the provinces and prefectures were 282 and 357 times per year, respectively. More than 90% of the departments initiated remote consultation, arranged referral or admitted patients who had improved status after treatment in superior hospitals through the Internet platform. Most of the patients (69.02%) were from the lower level of the hospital. The total number of out-patient consultations was 2 959 times per year, with a median of 296 (185 473) times. 54.79% of the departments had fixed service villages, and 28.08% of the departments had fixed service population. The median furthest visit distance was 52.5 (30.0, 80.0) kilometers, and the median average visit distance was 30.0 (20.0, 50.0) kilometers. 54.88% of medical staff believed that the biggest difficulties encountered during house visits were insufficient energy and too large service groups or regions. More than 90% of medical staff had been exposed to cloud learning and cloud training, and most of the surveyed medical staff believed that cloud learning and cloud training greatly improved medical service capacity and service efficiency of medical institutions (71.04% and 67.01%, respectively). Meanwhile, they believe that "Internet + health big data" projects from various aspects brought advantage to medical institutions, but there are also low utilization rate of Internet medical equipment by village doctors, low acceptance for telemedicine and mobile hospitals by farmers. Conclusions:Guizhou public hospitals have implementation of digital information management at the grass-roots level, the surveyed health care workers have a relatively low awareness of the digital information management system, hospital use big data Internet for remote consultation is uneven, intensive care medicine is a clinical discipline used in most remote consultation information system, and can complete two-way referrals. In the past three years, the discipline operation showed an upward trend year by year. Medical staff use artificial intelligence devices such as cloud learning and training to improve medical service capacity and efficiency. The digital transformation of primary hospitals is being continuously improved.

Field investigation of standardized construction of intensive care unit in county-level public hospitals in Dizhou City, Guizhou Province / 中华危重病急救医学

Objective:To investigate the standardized construction of critical care departments in different cities and counties of Guizhou province to promote the homogenization development of critical care medicine in Guizhou Province.Methods:Using research methods such as field investigation and data collection, the public hospitals of 88 counties and urban areas in 9 prefectures and cities of Guizhou province were divided into five routes: southeast, northeast, northwest, southwest, and Guiyang. To design the survey form for the standardized construction of ICU, the e-form was sent to the director of ICU or his/her designated personnel by email or wechat 2-3 days in advance. Check the authenticity of data item by item on site, and leave the hospital after checking the receipt form.Results:From April to July 2021, the survey and research data collection was completed for 146 public hospitals (excluding provincial hospitals) with intensive care departments in 88 counties and cities of 9 dizhou cities in Guizhou Province, including 24 Grade-Ⅲ Level A hospitals. 122 Grade-Ⅱ and above hospitals (including 8 Grade-Ⅲ Level B hospitals, 11 Grade-Ⅲ comprehensive hospitals, 97 Level-Ⅱ A hospitals, 3 Level-Ⅱ B hospitals, and 3 Level-Ⅱ comprehensive hospitals). 146 public hospitals have a total of 80 983 beds and 104 017 open beds. The department of Critical Care has 2 035 beds. The ratio of actual beds in ICU to total beds in hospital was 2.51%. From 1999 to 2010, 18 (12.33%) established departments, and from 2011 to 2021, 128 (87.67%) established departments. The total area of the discipline is 113 355.48 m 2, with an average bed area of 55.70 m 2. There were 97 hospitals with 1.5-2.0 m bed spacing, accounting for 66.44%, and 49 hospitals with 2.1- > 2.5 m spacing, accounting for 33.56%. The number of negative pressure wards: 1 in each of 43 hospitals, accounting for 29.45%; 103 hospitals did not have, accounting for 70.55%. The number of single rooms: 288 in 140 hospitals, accounting for 95.89%; 6 hospitals did not have, accounting for 4.11%. Central oxygen supply: 138 hospitals have (94.52%); 8 hospitals did not have, accounting for 5.48%. Natural ventilation: in 129 hospitals with 88.36%; 17 hospitals did not have, accounting for 11.64%. Specialized ICU construction: 66 hospitals, accounting for 45.21%; none in 80 hospitals, accounting for 54.79%. There are 3 712 doctors and nurses in 146 public hospitals. The total number of doctors was 1 041, and the ratio of doctors to beds was 0.51∶1. The total number of nurses was 2 675, and the ratio of nurses to beds was 1.31∶1. Conclusions:All 88 counties and districts in 9 prefectures and cities of Guizhou province have established intensive care medicine departments. The standardization of the discipline construction has been significantly improved. Lack of talents is still an important factor restricting the rapid development of the discipline.

Risk factors for death in elderly patients admitted to intensive care unit after elective abdominal surgery: a consecutive 5-year retrospective study / 中华危重病急救医学

Objective:To investigate the risk factors that were associated with the death of elderly patients who were admitted to the intensive care unit (ICU) after elective abdominal surgery, and to find reliable and sensitive predictive indicators for early interventions and reducing the mortality.Methods:A retrospective case-control study was conducted. The clinical data of elderly (age≥65 years old) patients after elective abdominal surgery admitted to the ICU of the Affiliated Hospital of Guizhou Medical University from January 1st 2016 to December 31st 2020 were collected, including the patient's gender, age, body mass index (BMI), medical history, American Society of Anesthesiologists (ASA) grades, surgical classification, intraoperative blood loss, duration of operation, interval time between end of operation and admission to the ICU, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score and the worst laboratory examination results within 24 hours of ICU admission, the first blood gas analysis in ICU, the duration of invasive mechanical ventilation, and the length of ICU stay. Postoperative abdominal infection was evaluated by the pathogenic culture of peritoneal drainage fluid and clinical symptoms and signs. The patients were divided into death group and survival group based on clinical outcomes, and clinical data were compared between the two groups. Binary multivariate Logistic regression analysis was used to screen the risk factors of death, and the receiver operator characteristic curve (ROC curve) was plotted to analyze the predictive values of these risk factors.Results:A total of 226 elderly patients with elective abdominal surgery were admitted to the ICU of our hospital during the past 5 years, of whom, two patients who did not undergo laboratory examinations within 24 hours of admission to the ICU were excluded. Finally, 224 patients met the criteria, with 158 survivors and 66 deaths. Univariate analysis showed that: compared with survival group, APACHEⅡscore, blood lactate acid (Lac) and the proportion of postoperative abdominal infection were higher in death group [APACHEⅡ score: 27.5 (25.0, 31.3) vs. 23.0 (18.0, 27.0), Lac (mmol/L): 2.9 (1.8, 6.6) vs. 1.8 (1.1, 2.8), the proportion of postoperative abdominal infection: 65.2% (43/66) vs. 35.4% (56/158), all P < 0.01], prothrombin time (PT), activated partial thromboplastin time (APTT) and interval time between end of surgery and admission to ICU were longer [PT (s): 17.20 (14.50, 18.63) vs. 14.65 (13.90, 16.23), APTT (s): 45.15 (38.68, 55.15) vs. 39.45 (36.40, 45.70), interval time between end of surgery and admission to ICU (hours): 39.2 (0.7, 128.9) vs. 0.7 (0.3, 2.0), all P <0.01], postoperative hemoglobin (Hb), platelet count (PLT), prealbumin (PA), mean arterial pressure (MAP) and oxygenation index (PaO 2/FiO 2) were lower in death group [Hb (g/L): 95.79±23.64 vs. 105.58±19.82, PLT (×10 9/L): 138.5 (101.0, 177.5) vs. 160.5 (118.5, 232.3), PA (g/L): 80.88±43.63 vs. 116.54±50.80, MAP (mmHg, 1 mmHg = 0.133 kPa): 76.8±19.1 vs. 91.6±19.8, PaO 2/FiO 2 (mmHg): 180.0 (123.5, 242.5) vs. 223.5 (174.8, 310.0), all P < 0.05]. Binary multivariate Logistic regression analysis showed that APACHEⅡscore [odds ratio ( OR) = 1.187, 95% confidence interval (95% CI) =1.008-1.294, P < 0.001], interval time between end of operation and admission to ICU ( OR = 1.005, 95% CI = 1.001-1.009, P = 0.016) and postoperative abdominal infection ( OR = 2.630, 95% CI = 1.148-6.024, P = 0.022) were independent risk factors for prognosis in these patients. MAP ( OR = 0.978, 95% CI = 0.957-0.999, P = 0.041) and PaO 2/FiO 2 ( OR = 0.994, 95% CI = 0.990-0.998, P = 0.003) were protective factors for the patients' prognosis. Lac, Hb, PLT, PA, PT and APTT had no predictive value for the prognosis of elderly patients admitted to ICU after elective abdominal surgery [ OR value and 95% CI were 1.075 (0.945-1.223), 1.011 (0.99-1.032), 1.000 (0.995-1.005), 0.998 (0.989-1.007), 1.051 (0.927-1.192) and 1.003 (0.991-1.016), respectively, all P > 0.05. ROC curve analysis showed that APACHEⅡscore, interval time between end of operation and admission to the ICU and the postoperative abdominal infection had certain predictive values for the prognosis of elderly patients, the area under ROC curve (AUC) were 0.755, 0.732 and 0.649 respectively, all P < 0.001; When the cut-off of APACHEⅡscore and interval time between end of operation and admission to the ICU were 24.5 scores and 2.15 hours, the sensitivity were 78.8% and 66.7%, respectively, and the specificity were 62.0% and 76.6%, respectively. The combined predictive value of the three variables was the highest, which AUC was 0.846, the joint prediction probability was 0.27, the sensitivity was 83.3%, and the specificity was 75.3%. Conclusion:APACHEⅡscore, interval time between end of surgery and admission to ICU, and postoperative abdominal infection may be independent risk factors for the death of elderly patients who were admitted to the ICU after elective abdominal surgery, there would be far greater predictive values when the three variables were combined.

Interpretation of Guidelines for controlling confounding factors and reporting results in causal inference studies / 中华危重病急救医学

Causal inference research is a causal test designed to assess the impact of exposures on outcomes.Both experimental and observational studies can be used to examine causal associations between exposure factors and outcomes. Experimental studies are sometimes limited by factors such as ethics or experimental conditions. Observational studies account for a large proportion in clinical studies, but the effectiveness and research value of observational studies will be affected if the design of observational studies is not rigorous and the confounding factors are not well controlled.The Guidelines for controlling confounding factors and reporting results in causal inference studie formulated by a special group of 47 editors from 35 journals from all over the world provide good guidance to researchers. This article interprets the guidelines and hopes to provide help for clinical researchers.

Artificial intelligence provides promotion of big data in medical work and contribution to people's health as soon as possible: real-time warning of critical illness is the pioneer of artificial intelligence in clinical medicine / 中华危重病急救医学

Through the big data intelligent algorithm and application of artificial intelligence in critically ill patients, the value of the combination of clinical real-time warning and artificial intelligence in critical care medicine was explored. Artificial intelligence was used to simulate human thinking by studying, calculating, and analyzing a large amount of critical illness data in the medical work, and integrate a large number of clinical monitoring and treatment data generated in critical care medicine. The necessity, feasibility, relevance, data learning and application architecture of the application of artificial intelligence in the early warning of critical illness in medical work were analyzed, thus to promote the pioneering application of real-time warning of critical illness in clinical medicine. The development of critical care medicine in medical work requires the integration of big data and artificial intelligence. Through real-time early warning, accurate and scientific intelligent application of medical data, the life threatening uncertainties in the diagnosis and treatment of critically ill patients can be more effectively reduced and the success rate of the treatment of critically ill patients can be improved. The perfect combination of artificial intelligence technology and big data of critical care medicine can provide a favorable guarantee for the pioneering application of real-time warning of critical care medicine in clinical work.

Clinical analysis of septic shock caused by acute upper and lower gastrointestinal perforation / 中华危重病急救医学

Objective:To analyze the clinical characteristics of septic shock caused by upper and lower gastrointestinal perforation.Methods:Clinical data of patients with septic shock due to gastrointestinal perforation admitted to the department of critical care medicine of the Affiliated Hospital of Guizhou Medical University from January 2018 to December 2019 were analyzed retrospectively. The general information; procalcitonin (PCT), acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) and sequential organ failure assessment (SOFA) scores during the first 24 hours in intensive care unit (ICU); results of ascites culture during the first 72 hours in ICU; the maximum dosage and total time of norepinephrine (NE) in ICU; mechanical ventilation time, the length of ICU stay, occurrence of acute kidney injury (AKI), continuous renal replacement therapy (CRRT) and 28-day mortality were collected. The patients were divided into upper gastrointestinal tract group (stomach and duodenum) and lower gastrointestinal tract group (jejunum, ileum, appendix, colon and rectum), with a boundary of Treitz. The clinical features between the two groups were compared.Results:There were 33 patients in the upper gastrointestinal tract group and 30 patients in the lower gastrointestinal tract group. There was no significant difference in gender and age between the two groups. The main pathogens in the ascites cultures in the upper gastrointestinal tract group were Candida albicans (45.5%), Enterococcus faecalis (18.2%) and Escherichia coli (18.2%). Escherichia coli (46.2%) and Enterococcus faecalis (30.8%) were the main pathogens in the lower gastrointestinal tract group. There were significant differences in PCT, the length of ICU stay, mechanical ventilation time, the maximum dosage and total time of NE between the upper gastrointestinal tract group and lower gastrointestinal tract group [PCT (μg/L): 17.69 (3.83, 26.62) vs. 32.82 (4.21, 100.00), the length of ICU stay (hours): 149.0 (102.5, 302.0) vs. 115.5 (30.8, 214.5), mechanical ventilation time (hours): 106.0 (41.5, 183.0) vs. 57.5 (25.0, 122.3), the maximum dosage of NE (μg·kg -1·min -1): 1.2 (0.5, 2.0) vs. 0.7 (0.5, 1.2), the total time of NE (hours): 72.0 (21.0, 145.0) vs. 26.5 (18.0, 80.5), all P < 0.05], while there was no statistically differences in APACHEⅡ or SOFA scores [APACHEⅡ: 30.0 (24.5, 35.0) vs. 28.0 (25.0, 33.5), SOFA: 10.67±4.14 vs. 9.50±3.33, both P > 0.05]. Compared with the lower gastrointestinal tract group, patients in the upper gastrointestinal tract group were more likely to have AKI (78.8% vs. 53.3%, P < 0.05) and require CRRT (39.4% vs. 16.7%, P < 0.05), but there was no significant difference in the 28-day mortality (39.4% vs. 43.3%, P > 0.05). Conclusions:The clinical characteristics of septic shock caused by upper and lower gastrointestinal perforation are not the same. Patients with septic shock caused by upper gastrointestinal perforation are more likely to suffer from fungal infection, with more severe shock, more likely to have AKI and require CRRT, and significantly longer mechanical ventilation and the length of ICU stay. While patients with septic shock caused by lower gastrointestinal perforation showed higher PCT.

A special type of blood pressure reduction: a case of carbon dioxide ejection syndrome / 中华危重病急救医学

Carbon dioxide (CO 2) ejection syndrome is common after artificial pneumoperitoneum, and it often attracts the attention of anesthesiologists because of its rapid changes in vital signs. CO 2 ejection syndrome is not uncommon in critically ill patients, and may occur after mechanical ventilation in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). There are few relevant reports about CO 2 ejection syndrome, and a considerable number of clinicians have little understanding of the pathological changes. A case of AECOPD patient with CO 2 ejection syndrome after endotracheal intubation was admitted to the intensive care unit (ICU) of the Affiliated Hospital of Guizhou Medical University. After treatment, such as fluid expansion, vasoactive drugs and ventilator assistance, the patient's condition improved and was transferred out of the ICU. It is expected to provide some references by summarizing the diagnosis and treatment of this case and reviewing relevant literature reports.

Discussion on the undergraduate education mode of critical care medicine majoring in clinical medicine / 中华危重病急救医学

Objective:To discuss the feasibility of offering specialized courses of critical care medicine in undergraduate clinical medicine education, so as to alleviate the shortage of critical care medicine staffs and lay a foundation for improving the success rate for the treatment of critical cases.Methods:The undergraduates majoring in clinical medicine from 2008 to 2011 in Guizhou Medical University (the former Guiyang Medical College) were enrolled. After they had been enrolled in the undergraduate education for 3 years and were ready for Grade four, which meant basic medicine teaching had been completed and clinical medicine teaching was about to start, they were introduced and preached to each discipline, including critical care medicine. The undergraduates were free to choose professional direction of clinical training in Grade four. Students majoring in clinical medicine from 2012 to 2014 were free to choose their major direction when they entered the school.Results:From September 2011 to July 2019, the university had cultivated 246 undergraduates majoring in clinical critical care medicine from 2008 to 2014, and the critical care medicine professional team of affiliated hospital had undertaken 540 teaching hours. By July 2019, all students had graduated on time, with an employment rate of 100%. Forty students took postgraduate programs in our school and other schools, accounting for 16.3%.Conclusions:Professional education of critical care medicine in the undergraduate course of clinical medicine can mobilize students' interest in learning and subjective initiative, which is conducive to career selection. During the clinical training, the students can identify and timely cure critical care cases in the early stage, and partly alleviate the current shortage of critical care medical staffs.

Comparison of critical care resources between second-class hospitals and third-class hospitals in Guizhou Province of China / 中华危重病急救医学

Objective:To know the critical care resources of the different class-hospitals in Guizhou Province, China, and to provide the direction and evidence for quality improvement and discipline construction of critical care medicine in Guizhou Province.Methods:The resource status of the departments of intensive care unit (ICU) in Guizhou Province was obtained through form filling and/or field investigation. The forms were filled and submitted from May 2017 to February 2018, and the field investigation (some of the hospitals) was carried out in March 2018. The data of hospitals in Guizhou Province in 2018, was obtained from the official website of Health Committee of Guizhou Province, which was released online on November 28th, 2019. The obtained data were summarized and analyzed according to different aspects such asthe status of ICU construction, main equipment configuration and technology implementation.Results:There were 39 third-class hospitals and 77 second-class hospitals included in this study, which accounted for 76.5% (39/51) of third-class public hospitals and 50.0% (77/154) of second-class public hospitals respectively. Among them, there were 86.8% (33/38) of third-class general hospitals and 50.4% (69/137) of second-class general hospitals respectively. In terms of ICU construction, compared with the ICUs of second-class hospitals, the ICUs of third-class hospitals were established earlier [years: 2011 (2008, 2012) vs. 2013 (2011, 2015), P < 0.01], had more ICU beds, doctors and nurses [15 (11, 20) vs. 8 (6, 10), 9 (8, 11) vs. 6 (5, 7), 25 (20, 41) vs. 15 (12, 19), respectively, all P < 0.01]. However, there were no significant differences regarding the doctor-bed ratio and the nurse-bed ratio in ICUs between second-class hospitals and third-class hospitals. In terms of main equipment configuration, compared with the ICUs of second-class hospitals, the ICUs of third-class hospitals had more ventilators, higher ratio of ventilators to beds, more infusion pumps, higher ratio of infusion pumps to beds, more monitor, gastrointestinal nutrition pumps and single rooms, and higher proportion of ICUs equipped with negative pressure rooms [ventilators: 14 (10, 18) vs. 6 (4, 8), ratio of ventilators to beds: 1.0 (0.7, 1.1) vs. 0.8 (0.6, 1.0), infusion pumps: 10 (6, 20) vs. 5 (3, 8), ratio of infusion pumps to beds: 0.8 (0.0, 1.0) vs. 0.0 (0.0, 0.4), monitor: 18 (13, 24) vs. 9 (6, 12), gastrointestinal nutrition pumps: 2 (1, 5) vs. 1 (0, 3), single rooms: 2 (1, 3) vs. 1 (0, 3), proportion of ICUs equipped with negative pressure rooms: 53.8% (21/39) vs. 31.5% (23/73), respectively, all P < 0.05]. Furthermore, there were higher proportions of ICUs equipped with portable ventilator, pulse indicator continuous cardiac output monitoring (PiCCO), intra-aortic balloon pump (IABP), extra-corporeal membrane oxygenation (ECMO), B ultrasound machine, bronchoscope, pressure of end-tidal carbondioxide (P ETCO 2) monitoring, bispectral index (BIS) monitoring, bedside gastroscopy, the apparatus used for the prevention of deep vein thrombosis of lower extremity in third-class hospitals than in second-class hospitals [portable ventilator: 86.7% (26/30) vs. 59.6% (28/47), 43.3% (13/30) vs. 1.5% (1/66), 14.3% (4/28) vs. 0% (0/65), 10.7% (3/28) vs. 0% (0/65), 62.5% (20/32) vs. 37.3% (25/67), 97.1% (33/34) vs. 63.6% (42/66), 60.6% (20/33) vs. 28.4% (19/67), 17.2% (5/29) vs. 0% (0/65), 27.6% (8/29) vs. 1.5% (1/65), 77.4% (24/31) vs. 52.3% (34/65), respectively, all P < 0.05]. In terms of skills development, there were more ICUs carried out intracranial pressure monitoring, abdominal pressure monitoring, ultrasound diagnosis, bronchoscope examination and treatment and blood purification in third-class hospitals than in second-class hospitals [31.6% (12/38) vs. 14.7% (11/75), 75.7% (28/37) vs. 38.6% (27/70), 61.5% (24/39) vs. 24.3% (18/74), 89.7% (35/39) vs. 45.9% (34/74), 92.3% (36/39) vs. 48.6% (36/74), respectively, all P < 0.05]. Conclusions:The data were mainly derived from public general hospitals in Guizhou Province. Compared with the ICUs of second-class hospitals, the ICUs of third-class hospitals were founded earlier and larger, had better hardware configuration and could carry out more skills. However, the human resource situations were similar between second-class hospitals and third-class hospitals. Both second-class hospitals and third-class hospitals have a need to improve the allocation of manpower and equipment and expand various skills in ICUs, while it is more urgent for second-class hospitals.

Clinical observation on application of different enteral nutrition preparations in patients with severe traumatic brain injury / 中华危重病急救医学

Objective? To?observe?the?effects?of?enteral?nutrition?(EN)?emulsion?with?different?components?on?nutritional?index,?blood?glucose,?inflammatory?reaction,?gastrointestinal?tolerance?and?prognosis?in?patients?with?severe?traumatic?brain?injury?(sTBI).? Methods? Patients?with?sTBI?[Glasgow?coma?scale?(GCS)?<?8]?admitted?to?intensive?care?unit?(ICU)?of?Affiliated?Hospital?of?Guizhou?Medical?University?from?January?2016?to?May?2018?were?retrospectively?analyzed.?These?patients?had?received?EN,?30?cases?of?them?were?fed?with?Baipuli,?35?cases?were?fed?with?Ruineng,?and?30?cases?were?fed?with?Ruisu.?The?EN?support?began?within?48?hours?after?the?patients?were?transferred?to?ICU,?and?the?energy?intake?of?83.68-104.60?kJ·kg-1·d-1?was?the?nutritional?support?target.?The?hemoglobin?(Hb),?lymphocyte?count?(LYM),?serum?albumin?(Alb),?pre-albumin?(PA),?procalcitonin?(PCT),?average?blood?glucose?(GLUave)?and?blood?glucose?variation?coefficient?(GLUcv)?were?observed?7?days?after?EN?support,?EN?compliance?time,?gastrointestinal?tolerance?situations?were?recorded,?and?the?duration?of?mechanical?ventilation?(MV),?the?length?of?ICU?stay?and?incidence?of?nosocomial?infection?were?compared?among?the?three?groups.? Results? There?were?no?obvious?changes?in?Hb,?LYM,?Alb,?PCT?among?three?groups?after?treatment?on?the?7th?day,?and?there?was?no?significant?difference?among?the?three?groups.?The?PA?of?Baipuli?group?was?significantly?higher?than?that?in?Ruineng?and?Ruisu?groups?at?7?days?after?treatment?(mg/L:?275.55±46.18?vs.?238.25±49.59,?240.70±55.59,?both?P?<?0.05),?but?the?GLUave?and?GLUcv?were?much?higher?than?those?in?Ruineng?and?Ruisu?groups?[GLUave?(mmol/L):?10.02±2.39?vs.?8.53±1.53,?8.98±1.75;?GLUcv:? (23.59±3.93)%?vs.?(14.79±3.65)%,?(17.88±2.90)%,?all?P?<?0.05].?The?indexes?of?gastrointestinal?tolerance?in?Baipuli?group?were?better?than?those?of?Ruineng?and?Ruisu?groups:?the?target?feeding?time?was?reached?ahead?(days:?4.40±1.20?vs.?5.50±1.07,?5.45±1.02,?both?P?<?0.05),?the?incidence?of?gastric?retention?and?digestive?tract?hemorrhage?were?both?decreased?[6.67%?(2/30)?vs.?31.43%?(11/35),?33.33%?(10/30);?3.33%?(1/30)?vs.?14.29%?(5/35),?16.67%?(5/30),?all?P?<?0.05].?The?duration?of?MV?and?the?length?of?ICU?stay?in?Ruisu?and?Baipuli?groups?were?longer?than?those?of?Ruineng??group?[duration?of?MV?(days):?6.94±1.64,?6.79±1.14?vs.?5.93±1.12;?the?length?of?ICU?stay?(days):?9.40±2.18,?10.40±2.35?vs.?7.45±1.83,?all?P?<?0.05].?There?was?no?significant?difference?in?the?incidences?of?nosocomial?infection?among?Ruineng,?Ruisu,?and??Baipuli?groups?[the?incidence?of?ventilator-associated?pneumonia?(VAP):?11.43%,?10.00%,?10.00%;?catheter?related?bloodstream?infection:?0,?0,?3.33%;?urinary?tract?infection:?5.71%,?6.67%,?6.67%;?intracranial?infection:?2.86%,?6.67%,?3.33%,?all?P?>?0.05].? Conclusion? For?patients?with?sTBI,?short?peptide?EN?preparations?(Baipuli)?is?much?better?in?gastrointestinal?tolerance?but?it?can?cause?fluctuations?of?blood?glucose;?the?whole?protein?EN?containing?ω-3?fatty?acid?(Ruineng,?Ruisu)?has?relatively?less?fluctuation?on?blood?glucose,?the?duration?of?MV?and?the?length?of?ICU?stay?can?be?shortened?by?Ruineng,?therefore?it?is?more?suitable?to?be?applied?for?such?patients.

Effect of conservative and conventional oxygen therapy on the prognosis of critically ill patients: a Meta-analysis / 中华危重病急救医学

Objective? To?compare?the?efficacy?and?safety?of?conservative?and?conventional?oxygen?therapy?in?critically?ill?patients.? Methods? Relevant?literature?and?randomized?controlled?trials?(RCTs)?about?the?effect?of?conservative?oxygen?therapy?and?conventional?oxygen?therapy?on?the?prognosis?of?intensive?care?unit?(ICU)?critically?ill?patients?was?searched?from?CNKI,?VIP,?Wanfang?Data,?Chinese?Clinical?Trial?Registry,?PubMed,?Embase,?the?Cochrane?Library,?and?ClinicalTrials.gov?by?using?the?keywords?"critically?ill?patients,?conservative?oxygen?therapy,?liberal?oxygen?therapy,?conventional?oxygen?therapy,?mortality"?until?October?30th?in?2018.?The?main?outcome?indicators?were?short-term?mortality?(28-day?mortality?or?ICU?mortality);?secondary?indicators?were?90-day?mortality,?duration?of?mechanical?ventilation,?the?length?of?ICU?stay,?total?hospitalization?time,?new?infection?rate?in?ICU?and?incidence?of?new?organ?dysfunction?in?ICU.?In?the?conservative?oxygen?therapy?group,?the?aim?of?pulse?oxygen?saturation?(SpO2)?was?0.90-0.92?or?the?arterial?partial?oxygen?pressure?(PaO2)?was?70-100?mmHg?(1?mmHg?=?0.133?kPa),?while?in?conventional?oxygen?therapy?group?SpO2?>?0.96?or?PaO2?>?150?mmHg.?Literature?search,?quality?evaluation?and?data?extraction?was?conducted?independently?by?the?two?authors.?The?quality?of?these?study?was?evaluated?using?Cochrane?risk?deviation?assessment?tool,?and?the?relevant?data?were?analyzed?using?RevMan?5.3?software.? Results? Four?studies?were?included?in?the?analysis,?these?studies?were?assessed?as?moderate?to?high?quality?studies.?A?total?of?1?076?patients?were?enrolled,?with?539?in??the?conservative?oxygen?therapy?group?and?537?in?the?conventional?oxygen?therapy?group.?Compared?with?conventional? oxygen?therapy?group,?short-term?mortality?[odds?ratio?(OR)?=?0.66,?95%?confidence?interval?(95%CI)?=?0.50-0.87,?P?=?0.003]?and?the?incidence?of?new?organ?dysfunction?in?ICU?(OR?=?0.64,?95%CI?=?0.41-0.99,?P?=?0.04)?were?significantly?decreased?in?conservative?oxygen?therapy?group,?duration?of?mechanical?ventilation?was?significantly?prolonged?[standardized?mean?difference?(SMD)?=?17.17,?95%CI?=?7.14-27.21, P?=?0.000?8].?But?there?was?no?significantly?difference?in?90-day?mortality?(OR?=?0.83,?95%CI?=?0.59-1.17,?P?=?0.28),?new?infection?rate?in?ICU?(OR?=?0.90,??95%CI?=?0.66-1.21,?P?=?0.47),?the?length?of?ICU?stay?(SMD?=?-0.22,?95%CI?=?-1.02-0.59,?P?=?0.60)?and?total?hospitalization?time?(SMD?=?1.44,?95%CI?=?-1.43-4.31,?P?=?0.32)?between?the?two?groups.? Conclusion? Compared?with?conventional?oxygen?therapy,?conservative?oxygen?therapy?can?reduce?short-term?mortality?and?the?incidence?of?organ?dysfunction?in?critically?ill?patients,?but?cannot?decrease?the?length?of?ICU?stay?and?total?hospitalization?time.

Current state of sedation, analgesia and blood glucose management in intensive care units of county hospitals:a multicenter cross-sectional survey in Guizhou Province of China / 中华危重病急救医学

Objective To investigate the current state of sedation,analgesia and blood glucose management in intensive care units (ICUs) of county hospitals in Guizhou Province of China,and to provide the evidences for improving quality control in critical care medicine.Methods In March 2018,3-4 ICUs of hospitals in every prefecture (one hospital per county) in Guizhou Province were visited to do the field survey.The patients' nursing records within 24 hours after ICU admission were reviewed,and the information such as gender,age,major diagnosis at the ICU admission,the time of admission,were collected.Moreover,the conditions about sedation and analgesia drug use and monitoring,blood pressure,blood glucose as well as and the usage of insulin and ventilator were recorded.Because not all the needed information of every ICU or patient was obtained,only the numbers of the ICUs and patients whose required information had been obtained were analyzed.Results Twenty-eight county hospitals in nine prefectures of Guizhou Province and 152 ICU patients were surveyed.There was a median of 5 (4,7) patients stayed in every ICU on the day of survey.A total of 152 patients were enrolled,with 102 male (67.1％) and 50 female (32.9％);the median age was 65.0 (51.5,74.8) years old;the major diagnosis at ICU admission was mainly cerebral diseases which accounted for 50.0％ (76/152),and the second place was digestive system diseases which accounted for 13.8％ (21/152);53.8％ (78/145) of patients were admitted to ICUs during 08:00-18:00.The percentages of ICUs which had patients received sedation and analgesia were 92.6％ (25/27) and 88.9％ (24/27) respectively,while only 44.4％ (12/27) and 18.5％ (5/27) of them were evaluated the depth of sedation and the level of pain respectively.There was 49.0％ (71/145) of patients received sedation,and 33.8％ (24/71) of them was evaluated by sedation scores;49.7％ (72/145) of patients received analgesia,and 13.9％ (10/72) of them were evaluated by pain scores.The proportions of invasive mechanical ventilation in the patients with sedation or analgesia were both higher than those in the patients without sedation or analgesia [sedation compared with non-sedation:85.9％ (61/71) vs.21.6％ (16/74),analgesia compared with non-analgesia:87.5％ (63/72)vs.19.2％ (14/73),both P ＜ 0.01].The incidence of hypotension was similar between the sedated patients and the non-sedated patients [55.9％ (38/68) vs.40.3％ (29/72),P ＞ 0.05],while the incidence of hypotension was higher in the patients with analgesia as compared with that in the patients without analgesia with significant difference [56.9％ (41/72) vs.38.2％ (26/68),P ＜ 0.05].Within 24 hours after ICU admission,there were 40.7％ (59/145) and 5.5％ (8/145)of patients had hyperglycemia (random blood glucose level ≥ 11.1 mmol/L) or hypoglycemia (random blood glucose level ＜≤ 3.9 mmol/L) respectively.No insulin was used to control the blood glucose level in the patients who had hypoglycemia or did not have hyperglycemia.However,only 23.7％ (14/59) of patients with hyperglycemia were treated with insulin,the initiation of insulin therapy was triggered when median blood glucose level was 19.8 (16.8,24.5) mmol/L.Conclusions The evaluation of analgesia and sedation in the ICUs of county hospitals in Guizhou Province was seriously inadequate and needed to be strengthened urgently.Moreover,the strategy of blood glucose management was also needed to be improved.

The exploration of applicability of the intelligent technology to improve the elderly health management / 中国中西医结合急救杂志

China has entered an aging society. With the increasing number of the elderly population, various health problems in the population are common problems faced by the whole society and every family. In the search for effective health management approaches for the elderly, emerging intelligent technologies such as the Internet, big data, artificial intelligence, blockchain, etc are gradually helping the elderly to improve their health conditions, improve the efficiency of public medical services, and save money. This paper briefly analyzes the applicability of intelligent technology integration under the current situation of health management for the elderly, points out the problems existing in its practical value, and expounds the methods in the process from "applicable" to "practical", aiming to put forward feasible suggestions on technology application for promoting the improvement of health management for the elderly in China. It also provides the solution research idea for the communication problem of how to integrate technology and business, which commonly exists in related workers of intelligent technology and medical and health industry intelligent technology and medical health industry.

Analysis of prognosis risk factors of critically ill patients after cardiac surgery: a consecutive 5-year retrospective study / 中华危重病急救医学

Objective To explore the risk factors affecting prognosis of critically ill patients following cardiac surgery, furthermore, to assess severity and keep alarm earlier. Methods A retrospective study was conducted. The clinical data of critically ill patients following cardiac surgery admitted to intensive care unit (ICU) of the Affiliated Hospital of Guizhou Medical University from January 1st 2014 to December 31st 2018 were enrolled. The clinical characteristics, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) and the worst laboratory examination within 24 hours after ICU admission, and the duration of mechanical ventilation, length of ICU stay, using continuous renal replacement therapy (CRRT), accepting vasoactive agents such as norepinephrine, dopamine or dobutamine and blood products such as red blood cells, plasma or platelets were recorded. The patients were divided into survival group and dead group based on discharge prognosis, and the difference in clinical data between the two groups was compared. Binary multivariate Logistic regression analysis was used to screen the risk factors affecting the prognosis of critically ill patients following cardiac surgery, and the receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of these risk factors. Results In total, 97 patients after cardiac operation were admitted to ICU during the five years. Thirty-two patients were excluded owing to age less than 16 years old, no more than 24 hours of the length of ICU stay, without the outcomes of myocardium enzymes or myocardium markers within the first 24 hours or admitted only for pacemaker. Finally, 65 patients met the criteria, with 40 survived and 25 died. Compared with survival group, APACHEⅡ scores, the level of serum uric acid, serum creatinine (SCr), cardiac troponin T (cTnT), brain natriuretic peptide (BNP), procalcitonin (PCT) and the rate of patients accepting CRRT, vasoactive agents and blood products in dead group were significantly increased with significant differences; however, there was no statistically difference in gender, age, body weight index (BMI), distribution of types of cardiac surgery, ratio of patients suffered from hypertension and diabetes, mean arterial pressure (MAP), white blood cell (WBC), coagulation, length of ICU stay, or duration of mechanical ventilation between the two groups. Binary multivariate Logistic regression analysis showed that APACHEⅡ scores [odds ratio (OR) = 1.123, 95% confidence interval (95%CI) = 1.004-1.257, P = 0.043] and cTnT (OR = 1.496, 95%CI = 1.038-2.158, P = 0.031) were the independent risk factors for prognosis of critical ill patients following cardiac surgery. ROC curve analysis showed that APACHEⅡ score and cTnT had predictive value for prognosis of critical ill patients following cardiac surgery, the best was exerted when APACHEⅡ score combined with cTnT, the area under the ROC curve (AUC) was 0.839, the joint prediction probability was 0.42, the sensitivity was 80.0%, and the specificity was 64.0%. Conclusion APACHEⅡscore and cTnT may be one of independent risk factors for prognosis of critical ill patients following cardiac surgery, and there will be far more greater predictive value when APACHEⅡ score combined with cTnT.

Protective effect of hydrogen-rich water on oxidative stress cell model and the impact of the phosphatidylinositol 3 kinase/protein kinase B pathway / 中华危重病急救医学

Objective To explore the protective effect of hydrogen-rich water on the oxidative stress injury of astrocytes in mice and its effect on phosphatidylinositol 3 kinase/protein kinase B (PI3K/Akt) signal pathway. Methods In vitro, mice astrocytes were cultured and the logarithmic growth period cells were taken for experiment. ① Experiment one: some cells were acted by 1.25, 2.50, 5.00, 10.00 μmol/L hydrogen peroxide (H2O2) for 20 minutes to determine the appropriate concentration required for astrocyte damage induced by H2O2; cultivating 3, 6, 9, and 12 hours with hydrogen-rich water of 25, 50, 100, and 200 μmol/L, respectively, to determine the concentration and time of hydrogen-rich water pretreatment; the 50 μmol/L hydrogen-rich water was cultured together with PI3K/Akt signal pathway inhibitors wortmannin (WM) 200 nmol/L or 400 nmol/L to determine the best inhibition concentration of wortmannin. Astrocyte activity was detected by methyl thiazolyl tetrazolium (MTT) colorimetry.② Experiment two: some cells were divided into blank control group, H2O2 injury group, hydrogen-rich water pretreatment group (HW+H2O2 group), and co-culture of hydrogen-rich water and wortmannin pretreatment group (HW+WM+H2O2 group). The mRNA expressions of PI3K and Akt were detected by reverse transcription-polymerase chain reaction (RT-PCR); the protein expressions of PI3K, Akt and phosphorylated Akt (p-Akt) were detected by Western Blot. Results ① Experiment one: the survival rate of the blank control group was 100%. Cell activity gradually decreased with the increase of H2O2 concentration, and the survival rate of the H2O2 action 20 minutes cells of 2.50 μmol/L was reduced to about 50%, so a cell injury model was established at this concentration. With the increase of hydrogen-rich water pretreatment concentration, and the duration of action, the cell survival rate increased first and then decreased. The cell survival rate was highest when 50 μmol/L hydrogen-rich water was pretreated with 9 hours, so a hydrogen-rich water pre-protection model was established. After 200 nmol/L or 400 nmol/L wortmannin was cultured together with hydrogen-rich water, cell activity was inhibited, and the cell survival rate of 200 nmol/L wortmannin group was no significantly different compared with that of H2O2 injury group, so the astrocyte suppression model was established. ② Experiment two: compared with the blank control group, the mRNA expressions of PI3K and Akt and the protein expressions of PI3K, Akt and p-Akt were significantly decreased in the H2O2 injury group. Compared with the H2O2 injury group, the PI3K, Akt mRNA expressions and PI3K, Akt, p-Akt protein expressions were significantly increased in the HW+H2O2 group [PI3K mRNA (2-ΔΔCT): 0.843±0.019 vs. 0.631±0.038, Akt mRNA (2-ΔΔCT): 0.591±0.025 vs. 0.558±0.037, PI3K/β-actin: 1.277±0.008 vs. 0.757±0.004, Akt/β-actin: 1.308±0.015 vs. 0.682±0.006, p-Akt/β-actin: 1.210±0.005 vs. 0.614±0.005, all P < 0.05]. The mRNA expressions of PI3K, Akt in the HW+WM+H2O2 group was 0.784±0.159 and 0.556±0.037, respectively, and the protein expressions of PI3K, Akt, p-Akt was 0.715±0.006, 0.686±0.005, and 0.606±0.004, respectively, both were significantly lower than those in HW+H2O2 group (all P < 0.05), and there was no significant difference with H2O2 injury group (all P >0.05). Conclusion Hydrogen-rich water activates the PI3K/Akt pathway, thereby mediates mice astrocytes to exert the biological function of antioxidant.

Fine management promotes the development, three-level discipline construction promotes the standardization:the discipline management and three-level discipline construction model of critical care medicine in Affiliated Hospital of Guizhou Medical University / 中华危重病急救医学

Critical care medicine is an important part of modern medicine and has become an important comprehensive second-level discipline of clinical medicine. The department of critical care medicine of the Affiliated Hospital of Guizhou Medical University was established in 1994. After 24 years of development, there are currently 90 beds, 6 sub-specialties (including comprehensive ICU A, B, C 3 subspecialties, internal ICU, emergency ICU, pediatric ICU) of the third-level intensive medical discipline development model, involve severe nervous system, severe circulatory system, severe environmental disorders, severe trauma, severe digestion, severe kidney, severe immunity, severe endocrine, severe respiratory disease, severe infection, severe obstetric disease, severe poisoning, and there are corresponding talent echelons. The three-level discipline construction model has been explored and operated for more than three years. The hospital's critical care medicine discipline has established a larger professional discipline in southwestern China. The rapid and standardized development of critical care medicine in an all-round way was promoted, so as to lead the rapid development of critical care medicine in hospitals, cities, provinces and even surrounding provinces, and to achieve mutual learning, complementary advantages, resource sharing, win-win cooperation and coordinated development.