Objective:To investigate the epidemiological characteristics and prognosis of critically ill patients with sepsis combined with acute kidney injury (AKI) in intensive care unit (ICU) in Beijing, and to analyze the risk factors associated with in-hospital mortality among these critically ill patients.Methods:Data were collected from the Beijing AKI Trial (BAKIT) database, including 9 049 patients consecutively admitted to 30 ICUs in 28 tertiary hospitals in Beijing from March 1 to August 31, 2012. Patients were divided into non-AKI and non-sepsis group, AKI and non-sepsis group, non-AKI and sepsis group, AKI and sepsis group. Clinical data recorded included demographic characteristics, primary reasons for ICU admission, comorbidities, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation Ⅱ(APACHEⅡ) within 24 hours of ICU admission, physiological and laboratory indexes, treatment in the ICU, AKI staging based on the Kidney Disease: Improving Global Outcomes (KDIGO), as well as the prognostic indicators including length of stay in ICU, length of stay in hospital, ICU and in-hospital mortality. The primary endpoint was discharge or in-hospital death. Multivariate Logistic regression analysis was used to investigate the risk factors for hospital death in ICU patients. Kaplan-Meier survival curve was drawn to analyze the cumulative survival of ICU patients during hospitalization.Results:A total of 3 107 critically ill patients were ultimately enrolled, including 1 259 cases in the non-AKI and non-sepsis group, 931 cases in the AKI and non-sepsis group, 264 cases in the non-AKI and sepsis groups, and 653 cases in the AKI and sepsis group. Compared with the other three group, patients in the AKI and sepsis group were the oldest, had the lowest mean arterial pressure (MAP), and the highest APACHEⅡscore, SOFA score, blood urea nitrogen (BUN), and serum creatinine (SCr) levels, and they also had the highest proportion of receiving mechanical ventilation, requiring vasopressor support, and undergoing renal replacement therapy (RRT), all P < 0.01. Of these 3 107 patients, 1 584 (51.0%) were diagnosed with AKI, and the incidence of AKI in patients with sepsis was significantly higher than in those without sepsis [71.2% (653/917) vs. 42.5% (931/2 190), P < 0.01]. The highest proportion of KDIGO 0 stage was observed in the non-sepsis group (57.5%), while the highest proportion of KDIGO 3 stage was observed in the sepsis group (32.2%). Within the same KDIGO stage, the mortality of patients with sepsis was significantly higher than that of non-sepsis patients (0 stage: 17.8% vs. 3.1%, 1 stage: 36.3% vs. 7.4%, 2 stage: 42.7% vs. 17.1%, 3 stage: 54.6% vs. 28.6%, AKI: 46.1% vs. 14.2%). The ICU mortality (38.7%) and in-hospital mortality (46.1%) in the AKI and sepsis group were significantly higher than those in the other three groups. Kaplan-Meier survival curves further showed that the cumulative survival rate of patients with AKI and sepsis during hospitalization was significantly lower than that of the other three groups (53.9% vs. 96.9%, 85.8%, 82.2%, Log-Rank: χ2 = 379.901, P < 0.001). Subgroup analysis showed that among surviving patients, length of ICU stay and total length of hospital stay were significantly longer in the AKI and sepsis group than those in the other three groups (both P < 0.01). Multivariate regression analysis showed that age, APACHEⅡscore and SOFA score within 24 hours of ICU admission, coronary heart disease, AKI, sepsis, and AKI combined with sepsis were independent risk factors for ICU mortality in patients (all P < 0.05). After adjusting for covariates, AKI, sepsis, and sepsis combined with AKI were significantly associated with higher ICU and in-hospital mortality, with the highest ICU mortality [adjusted odds ratio ( OR) = 14.82, 95% confidence interval (95% CI) was 8.10-27.12; Hosmer-Lemeshow test: P = 0.816] and in-hospital mortality (adjusted OR = 7.40, 95% CI was 4.94-11.08; Hosmer-Lemeshow test: P = 0.708) observed in patients with sepsis combined with AKI. Conclusions:The incidence of AKI is high in sepsis patients, and those with both AKI and sepsis have a higher disease burden, more abnormalities in physiological and laboratory indicators, and significantly increased ICU and in-hospital mortality. Among surviving patients, the length of ICU stay and total length of hospital stay are also longer in the AKI and sepsis group. Age, APACHEⅡscore and SOFA score within 24 hours of ICU admission, coronary heart disease, AKI, and sepsis are independent risk factors for in-hospital mortality in ICU patients.

Objective:To investigate the predictive value of mid-regional proadrenomedullin (MR-proADM) on poor prognosis of low-risk patients with sepsis.Methods:This was a prospective cohort study. Patients with sepsis admitted to the Emergency Intensive Care Unit of China Rehabilitation Research Center from December 2018 to December 2020 were included in this study. The patients were divided into the low-risk group (SOFA≤7) and medium-high-risk group (SOFA>7) according to the sequential organ failure assessment (SOFA) score, and the clinical characteristics of the two groups were compared. Proportional hazards regression model (COX regression model) was used to investigate the risk factors of 28-day mortality in the low-risk and medium-high-risk group. The predictive ability of MR-proADM, C-reactive protein (CRP), lactic acid (Lac), interleukin-6 (IL-6), SOFA score, and acute physiology and chronic health evaluationⅡ (APACHE Ⅱ) score for the prognosis in each group was evaluated by receiver operating characteristic (ROC) curve. The outcomes of patients with different concentration of MR-proADM in the low-risk group were compared.Results:Totally 205 patients with sepsis were included, and the 28-day mortality was 41.0% (84/205). There were significant differences in the number of organ dysfunction, acute kidney injury, use of vasoactive drugs, Lac, IL-6, SOFA score and APACHEⅡ score between the two groups ( P<0.05). Cox regression model showed that age, MR-proADM, mechanical ventilation, IL-6 and APACHEⅡ score were the risk factors of 28-day death in the low-risk group, while MR-proADM, Lac, SOFA score and APACHEⅡ score were the risk factors of 28-day mortality in the medium-high-risk group. In each group, MR-proADM had a good predictive ability for the prognosis of patients with sepsis ( P<0.001). Especially in low-risk patients with sepsis, the predictive ability of MR-proADM was better than other indicators. Kaplan-Meier survival curve suggested that the patients with MR-proADM >2.53 nmol/L had worse prognosis than those with MR-proADM ≤2.53 nmol/L, and the difference was statistically significant ( P<0.001). In the low-risk group, the mortality of patients increased from 7.8% to 58.2% if MR-proADM >2.53 nmol/L. Conclusions:MR-proADM is a risk factor for 28-day mortality in patients with sepsis, and MR-proADM can early identify the poor prognosis of low-risk patients with sepsis.

Objective:To investigate the clinical value of nutritional indexes including body mass index (BMI), albumin (ALB), nutrition risk screening 2002 (NRS 2002) and the nutrition risk in critically ill score (NUTRIC) in 28-day prognosis of patients with sepsis related acute kidney injury (AKI).Methods:A prospective cohort study was conducted. Patients with sepsis treated in the emergency intensive care unit (EICU) of China Rehabilitation Research Center from December 1, 2018 to December 1, 2020 were observed for 7 days. Patients with sepsis related AKI were enrolled in this study. The gender, age, BMI, basic diseases, shock, number of affected organs, length of hospital stay, ALB, mechanical ventilation (MV) and vasoactive drug use, sequential organ failure score (SOFA), rapid sequential organ failure score (qSOFA) and acute physiology and chronic health evaluationⅡ(APACHEⅡ) were recorded. The NRS 2002 score and NUTRIC score were calculated. Cox regression model was used to analyze the risk factors of 28-day mortality in patients with sepsis related AKI. The receiver operator characteristic curves (ROC curves) were drawn and the areas under the ROC curves (AUC) were calculated, and the value of BMI, ALB, NRS 2002 score and NUTRIC score was analyzed to predict 28-day mortality in patients with sepsis related AKI. Kaplan Meier survival curves were used to analyze the effects of NRS 2002 score and NUTRIC score stratification on the 28 day prognosis of patients with sepsis related AKI.Results:A total of 140 patients with sepsis related AKI were enrolled, including 73 survival patients and 67 died patients within 28 days. The 28-day mortality was 47.9% (67/140). BMI in the survival group was significantly higher than that in the death group [kg/m 2: 22.0 (19.5, 25.6) vs. 20.7 (17.3, 23.9), P < 0.05], and NRS 2002 score and NUTRIC score were significantly lower than those in the death group [NRS 2002 score: 5 (4, 6) vs. 7 (6, 7), NUTRIC score: 6 (5, 7) vs. 7 (6, 9), both P < 0.05]. The ALB of the survival group was slightly higher than that of the death group, but the difference was not statistically significant. Cox regression analysis showed that NRS 2002 score and NUTRIC score were independent risk factors for 28-day death in patients with sepsis related AKI. ROC curve analysis showed that NUTRIC score had the strongest predictive ability for 28-day death [AUC = 0.785, 95% confidence interval (95% CI) was 0.708-0.850], followed by NRS 2002 score (AUC = 0.728, 95% CI was 0.647-0.800), but there was no significant difference between them. Compared with NRS 2002 score, the predictive ability of BMI and ALB was poor. Kaplan-Meier curve analysis showed that the prognosis of patients with NRS 2002 score≥5 was significantly worse than that of patients with NRS 2002 score < 5 (28-day cumulative survival rate: 42.1% vs. 75.6%, Log-Rank test: 2 = 11.884, P = 0.001), and the prognosis of patients with NUTRIC score≥6 was significantly worse than that of patients with NUTRIC score < 6 (28-day cumulative survival rate: 40.4% vs. 86.1%, Log-Rank test: 2 = 19.026, P = 0.000). Conclusions:Patients with sepsis related AKI have high nutritional risk. Both NRS 2002 score and NUTRIC score have good predictive value for the prognosis of patients with sepsis related AKI, while BMI and ALB have low predictive value. Due to the complex calculation of NUTRIC score, NRS 2002 score may be more suitable for emergency department.

Objective:To investigate the epidemiological characteristics of septic cardiomyopathy and explore the relationship between the relevant indexes measured by echocardiography and the prognosis of patients with sepsis.Methods:A case-control study was conducted. The data of patients with sepsis admitted to the department of critical care medicine of Jiangsu Subei People's Hospital Affiliated to Yangzhou University and the department of critical care medicine of Beijing Electric Power Hospital of State Grid Corporation of China from June 2018 to June 2021 were enrolled. The general information and 28-day prognosis were recorded. At the same time, ultrasonic parameters obtained by transthoracic echocardiography within 24 hours after intensive care unit (ICU) admission were recorded. The differences in ultrasound indexes between the death group and the survival group on 28 days were compared. Parameters with significant statistical differences between the death group and the survival group were included in the Logistic regression analysis to find the independent risk factors for the prognosis of patients with sepsis, the predictive value of each index for the prognosis of patients with sepsis was evaluated by receiver operator characteristic curve (ROC curve).Results:A total of 145 patients with sepsis were enrolled, including 106 patients with septic shock. Among the 145 patients, septic cardiomyopathy was found in 73 patients, with the incidence of 50.3%. The incidence of left ventricular diastolic dysfunction cardiomyopathy was 41.4% ( n = 60), the incidence of left ventricular systolic dysfunction cardiomyopathy was 24.8% ( n = 36), and the incidence of right ventricular systolic dysfunction cardiomyopathy was 12.4% ( n = 18). At 28 days, 98 patients survived and 47 died, with the mortality of 32.4%. The peak e' velocity by tissue Doppler imaging (e') and right ventricular myocardial systolic tricuspid annulus velocity (RV-Sm) of the death group were significantly lower than those of the survival group [e' (cm/s): 7.81±1.12 vs. 8.61±1.02, RV-Sm (cm/s): 12.12±2.04 vs. 13.73±1.74, both P < 0.05], left ventricular ejection fraction (LVEF) and left ventricular systolic mitral annulus velocity (LV-Sm) in the death group were slightly higher than those in the survival group [LVEF: 0.550±0.042 vs. 0.548±0.060, LV-Sm (cm/s): 8.92±2.11 vs. 8.23±1.71], without significant differences (both P > 0.05). Parameters with significant statistical differences between the two groups were included in the Logistic regression analysis and showed that e' and RV-Sm were independent risk factors for the 28-day prognosis of patients with sepsis [e': odds ratio ( OR) = 0.623, 95% confidence interval (95% CI) was 0.410-0.947, P = 0.027; RV-Sm: OR = 0.693, 95% CI was 0.525-0.914, P = 0.010]. ROC curve analysis showed that the area under the ROC curve (AUC) of e' for predicting the 28-day prognosis of patients with sepsis was 0.657, 95% CI was 0.532-0.781, P = 0.016, the best cut-off value was 8.65 cm/s, the sensitivity was 62.1%, and the specificity was 73.4%. The AUC of RV-Sm for predicting the 28-day prognosis of patients with sepsis was 0.641, 95% CI was 0.522-0.759, P = 0.030, the best cut-off value was 14.80 cm/s, the sensitivity was 96.6%, and the specificity was 26.6%. Conclusions:The incidence of septic cardiomyopathy is high. The LVEF measured by early echocardiography has no predictive value for 28-day prognosis in septic patients, while RV-Sm and e' are important predictors for 28-day prognosis.

Objective:To analyze the implementation of medical emergency team (MET) in Fuxing Hospital of Capital Medical University, and to investigate the characteristics such as the time, department, disease, cause of the MET calls, in order to provide a basis for the improvement of MET's implementation.Methods:A retrospective study was conducted. MET calls that received between January 1st, 2015 and December 31st, 2018 at Fuxing Hospital were collected. The calls' information included the quarter, time, and the patients' gender, age, admission time, department, admission diagnosis, the reason for the calls, the operation and outcome of the MET upon arrival.Results:A total of 846 MET calls were occurred during 4 years from 2015 to 2018. The frequencies of the first and third quarter were relatively high with 28.0% (237/846) and 26.5% (224/846), respectively. The events mainly occurred during the day (08:00-19:59) with 611 calls (72.2%). There were more men [64.3% (544/846)] than women [35.7% (302/846)]. The calls were mainly from the elderly over 60 years old, and gradually increased with age, which distributed the most in patients aging 80-89 years old, accounting for 51.5% of all calls (436/846). Among all the MET events, 80.5% (681/846) were from department of internal medicine, 18.8% (159/846) were from department of surgery, and 0.7% (6/846) were from department of gynecology and obstetrics. The top 3 diseases reported in the calls were respiratory diseases [31.6% (267/846)], nervous system diseases [20.8% (176/846)] and circulatory diseases [9.9% (84/846)]. The reason of MET calls showed that abnormal pulse oxygen saturation [SpO 2, 27.8% (235/846)] were the most among 4 vital signs. After MET rescue, 7.3% (62/846) of the patients died, 48.7% (412/846) were transferred to intensive care unit (ICU) for further treatment, and 41.9% (354/846) remained under observation. Conclusions:The frequency of MET calls in Fuxing Hospital of Capital Medical University was relatively stable over the years, mostly received in the daytime (08:00-19:59) of the first and third quarter. Most of the patients were male aged 80-89 years old. The most MET calls were from department of internal medicine and due to respiratory disease. SpO 2 was the most common abnormal indicator. According to the above characteristics, MET can focus on them in the future.

Betacoronavirus ; COVID-19 ; Coronavirus ; Coronavirus Infections ; Critical Care ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2

Objective: To observe the incidence of intensive care unit-acquired weakness (ICU-AW) of mechanically ventilated patients, and to identify the relevant risk factors. Methods: A prospective cohort study was conducted. The patients admitted to intensive care unit (ICU) of Fuxing Hospital, Capital Medical University, aged 18 years old or older, with the duration of mechanical ventilation ≥ 24 hours and expected to stay in ICU for ≥ 7 days from May 2015 to January 2016 were enrolled. From the 7th day after ICU admission, the patients were evaluated for consciousness every day. If the patient was awake and could cooperate with muscle strength measurement, the day was recorded as T1, and the patient's muscle strength was measured using the Medical Research Council scale (MRC) and recorded, then all patients were divided into two groups according to MRC score, ICU-AW group (MRC score < 48) and non-ICU-AW group (MRC score ≥ 48). The death, transfer or the 28th day of ICU admission were regarded as the end of observation. The data from the first day of ICU admission to T1 (before T1), including metabolic factors (the lowest value of blood sodium, blood potassium, blood calcium, albumin, and the highest value of blood glucose), mechanical ventilation factors (mode and duration of mechanical ventilation), organ dysfunction factors [occurrence and duration of sepsis, multiple organ dysfunction syndrome (MODS)], and drug factors (whether the patients used aminoglycoside, sedative, muscle relaxant or glucocorticoids, etc., the time of these drugs usage and the cumulative dose) of the patients were observed, recorded and analyzed, as well as the data from T1 to the end of the observation period, including the duration of mechanical ventilation, incidence of ventilator associated pneumonia (VAP), 28-day mortality, the length of ICU stay, and the cost of ICU and hospitalization. The relevant factors with statistical significance in univariate analysis were enrolled in multivariate analysis, and Logistic regression equation was established to screen the independent risk factors that might lead to ICU-AW. Results: 486 patients with mechanical ventilation were enrolled in this study, and 37 patients were enrolled according to the inclusion and exclusion criteria, including 15 patients with ICU-AW (with ICU-AW incidence of 40.5%) and 22 patients without ICU-AW. In the univariate analysis, ICU-AW group patients showed statistical differences in following factors as compared with the non-ICU-AW group: age, and the duration of invasive ventilation and the total duration of mechanical ventilation, braking time, sepsis, MODS and duration of them, the usage days and dosage of sedative and glucocorticoid before T1. The total duration of mechanical ventilation from T1 to the end of the observation period, total duration of mechanical ventilation during the observation period, and length of ICU stay of the ICU-AW group were significantly longer than those of the non-ICU-AW group [hours: 190 (110, 274) vs. 4 (0, 57), hours: 337 (237, 477) vs. 78 (43, 170), days: 20±7 vs. 14±7, all P < 0.05], the incidence of VAP, 28-day mortality and total hospitalization expenses were significantly higher than those of the non-ICU-AW group [26.7% (4/15) vs. 0% (0/22), 53.3% (8/15) vs. 9.1% (2/22), 10 thousands Yuan: 18.7±7.7 vs. 12.1±10.8, all P < 0.05]. Multivariate Logistic regression analysis showed that the total duration of mechanical ventilation between the patient awake and ICU admission [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.01-1.05, P = 0.011] and the duration of MODS (OR = 1.79, 95%CI was 1.17-2.72, P = 0.007) were the independent risk factors for ICU-AW in mechanically ventilated patients. Conclusions ICU-AW is quite common in patients with mechanical ventilation and has a higher incidence. The risk factors associated with ICU-AW were the total duration of mechanical ventilation and duration of MODS.

Objective: To investigate the epidemiology and independent risk factors of septic cardiomyopathy. Methods: A prospective study was conducted. Patients with sepsis in intensive care unit (ICU) of Subei People's Hospital of Jiangsu Province, Yangzhou University, Fuxing Hospital, Capital Medical University and Beijing Electric Power Hospital from May 2016 to August 2019 were enrolled. All patients received standardized treatments according to the Surviving Sepsis Campaign (SSC) guidelines. Blood were collected within 24 hours of admission to ICU, and plasma histone H4, cardiac troponin I (cTnI) and N-terminal pro-brain natriuretic peptide (NT-proBNP) were detected by enzyme linked immunosorbent assay (ELISA). Transthoracic echocardiography was performed to record the ultrasonic parameters within 24 hours after admission. Sequential organ failure assessment (SOFA) score, usage of vasopressor drugs, and the prognosis of ICU were recorded. Patients were divided into two groups according to whether cardiomyopathy occurred or not, and the differences of each index between the two groups were compared. The correlation between plasma histone H4 and SOFA score, cTnI, NT-proBNP were investigated. Multivariate binary Logistic regression was used to determine the risk factors for septic cardiomyopathy. The predictive value of histone H4 in septic cardiomyopathy was shown by the receiver operating characteristic (ROC) curve. Results: 121 patients were included in this study, and there were 60 patients (49.6%) with septic cardiomyopathy. Thirty-six patients died, with an ICU mortality of 29.8%. ① Correlation analysis showed that plasma histone H4 in patients with septic cardiomyopathy was positively correlated with cTnI, SOFA score and NT-proBNP (r value was 0.512, 0.403 and 0.274, respectively, all P < 0.01). ② Compared with the non-cardiomyopathy group, the plasma histone H4, cTnI, usage of vasopressor drugs, SOFA score and ICU mortality in the cardiomyopathy group were significantly increased [histone H4 (mg/L): 0.26 (0.23, 0.30) vs. 0.22 (0.17, 0.27), cTnI (μg/L): 0.21 (0.17, 0.30) vs. 0.18 (0.14, 0.22), usage of vasopressor drugs: 83.3% (50/60) vs. 65.6% (40/61), SOFA score: 11 (9, 12) vs. 9 (8, 10), ICU mortality: 40.0% (24/60) vs. 19.7% (12/61), all P < 0.05]. Multivariate binary Logistic regression analysis showed that high histone H4 level [odds ratio (OR) = 6.502, 95% confidence interval (95%CI) was 1.203-78.231, P = 0.044] and usage of vasopressor drugs (OR = 2.622, 95%CI was 1.034-6.849, P = 0.042) were independent risk factors for septic cardiomyopathy. ④ ROC curve analysis showed the cut-off of histones H4 for predicting septic cardiomyopathy was 0.24 mg/L, the area under the curve was 0.684 (P < 0.01), with the sensitivity of 65.2%, and specificity of 68.9%. Conclusions Septic cardiomyopathy had a high incidence. Higher plasma histone H4 and the usage of vasopressor drugs were independent risk factors for septic cardiomyopathy.

Objective To explore the value of plasma histones in predicting the prognosis of sepsis patients. Methods The patients with sepsis admitted to intensive care unit (ICU) of Subei People's Hospital of Jiangsu Province Affiliated to Yangzhou University from May 2016 to June 2018 were enrolled as the research subjects, and healthy volunteers were selected as healthy control at the same period. The plasma levels of histones, cardiac troponin I (cTnI), N-terminal pro-brain natriuretic peptide (NT-proBNP), sequential organ failure assessment (SOFA) score, lactate (Lac), procalcitonin (PCT) on admission 24 hours, and use of vasoconstrictor agents, the length of ICU stay and ICU mortality were recorded. The patients were divided into survival group and death group according to the prognosis, and the differences of each index between the two groups were compared. Multivariate binary Logistic regression analysis was carried out to identify the independent risk factors of death. The correlation between histone and the levels of cTnI, NT-proBNP, PCT and Lac was analyzed. The value of plasma histone, cTnI, NT-proBNP, PCT and Lac in predicting the prognosis of patients was analyzed by receiver operating characteristic (ROC) curve. According to the threshold value of histone in predicting prognosis, the patients were divided into two groups, and the differences of various indicators between the two groups were compared. Results ① A total of 93 sepsis patients were included, with 29 cases of ICU death, and the mortality was 31.2%. ② Compared with the healthy control group, histones, cTnI, NT-proBNP were significant increased, besides, histones, cTnI in the death group were further increased compared with the survival group;in addition, SOFA, proportion of vasoconstrictor use were also significant higher than those in the survival group [histones (mg/L): 0.33 (0.28,0.45) vs. 0.22 (0.17,0.29), cTnI (μg/L): 0.25±0.13 vs. 0.20±0.08, SOFA: 11 (8, 12) vs. 9 (8, 11), the rate of vasopressor use: 93.1% (27/29) vs. 68.8% (44/64), all P < 0.05]. Statistically significant indicators between the two groups were included in multivariate binary Logistic regression analysis. The result showed that the independent risk factors affecting the prognosis of patients were the rate of vasopressor use [odds ratio (OR) = 5.277, P = 0.043] and the level of histone (OR = 79.244, P = 0.036). ③ The plasma histone level were positively correlated with cTnI (r = 0.577, P = 0.000), SOFA (r = 0.469, P = 0.000), NT-proBNP (r = 0.349, P = 0.001) and Lac (r = 0.357, P = 0.000), while there was no significant correlation between histone and PCT (r = 0.133, P = 0.205). ④ ROC curve analysis showed that the area under ROC curve (AUC) of histone predicting prognosis was 0.769 (P = 0.000); when the cut-off point was 0.30 mg/L, the sensitivity and specificity were 72.4% and 81.2% respectively. The AUC of SOFA score was 0.653 (P = 0.018), and the sensitivity and specificity were 58.6% and 70.3% respectively when the cut-off point was 10.50; while cTnI, NT-proBNP, Lac and PCT had little value in predicting the prognosis of patients. ⑤ Compared with the group with histone level lower than 0.3 mg/L, the group with histones level greater than 0.3 mg/L had higher SOFA score, more doses of vasopressor, higher cTnI, NT-proBNP, Lac and PCT levels, and higher ICU mortality [SOFA: 11 (10, 12) vs. 9 (8, 10), use of vasopressor: 84.8% (28/33) vs. 76.7% (46/60), cTnI (μg/L): 0.28 (0.19, 0.32) vs. 0.18 (0.12, 0.22), NT-proBNP (ng/L): 3 624.0 (2 800.0, 5 260.0) vs. 2 512.0 (1 361.8, 3 590.8), Lac (mmol/L): 2.25 (1.85, 3.50) vs. 1.60 (1.25, 2.35), PCT (μg/L): 2.10 (1.30, 4.03) vs. 1.60 (1.26, 2.33), ICU mortality: 48.5% (16/33) vs. 21.7% (13/60), all P < 0.05], while no statistical difference in the length of ICU stay was found. Conclusions The independent risk factors for ICU mortality of sepsis patients were high histone level and the use of vasopressor. Plasma histone can be regarded as an indicator in predicting the prognosis of patients with sepsis.

Objective To observe the early morbidity of ICU-acquired weakness (ICU-AW) in mechanical ventilation patients, and to analyze the risk factors and prognosis of ICU-AW. Methods A prospective cohort study was conducted. The patients undergoing mechanical ventilation admitted to intensive care unit (ICU) of Fu Xing Hospital of Capital Medical University from April 2016 to February 2017 were enrolled. The peroneal nerve test was performed on (3±1) days of mechanical ventilation, and complete neuro-electrophysiological examination was performed next on the patients with positive result of peroneal nerve test. The abnormal cases were enrolled in the observation group, others were enrolled in the control group, then the early incidence of ICU-AW was obtained. The control group reviewed the peroneal nerve test after 10 days, and the late ICU-AW incidence was obtained. Death, ICU discharge, or over 60 days of ICU stay were set to the endpoints of observation. Demographic data, basic indicators, drug usage, comorbidities and metabolic markers during the study period, outcome data were collected and analyzed, and risk factors and of early ICU-AW in mechanical ventilation patients were identified by multivariate Logistic regression analysis. Results A total of 60 patients were enrolled in the study, with 19 patients in the observation group, and 41 in the control group, with the early ICU-AW incidence of 31.7%. In the control group, 8 patients reviewed the peroneal nerve test after 10 days, of