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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.
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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.
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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.
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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.
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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.
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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.
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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 binaryLogistic 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.
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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.
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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
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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.
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Objective To explore the accuracy of fluid responsiveness assessment by variability of peripheral arterial peak velocity and variability of inferior vena cava diameter (ΔIVC) in patients with septic shock. Methods A prospective study was conducted. The patients with septic shock undergoing mechanical ventilation (MV) admitted to intensive care unit (ICU) of Beijing Electric Power Hospital from January 2016 to December 2017 were enrolled. According to sepsis bundles of septic shock, volume expansion (VE) was conducted. The increase in cardiac index (ΔCI) after VE ≥ 10% was defined as liquid reaction positive (responsive group), ΔCI < 10% was defined as the liquid reaction negative (non-responsive group). The hemodynamic parameters [central venous pressure (CVP), intrathoracic blood volume index (ITBVI), stroke volume variation (SVV), ΔIVC, variability of carotid Doppler peak velocity (ΔCDPV), and variability of brachial artery peak velocity (ΔVpeak-BA)] before and after VE were monitored. The correlations between the hemodynamic parameters and ΔCI were explored by Pearson correlation analysis. Receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of all hemodynamic parameters on fluid responsiveness. Results During the study, 74 patients with septic shock were included, of whom 9 were excluded because of peripheral artery stenosis, recurrent arrhythmia or abdominal distension influencing the ultrasound examination, and 65 patients were finally enrolled in the analysis. There were 31 patients in the responsive group and 34 in the non-responsive group. SVV, ΔIVC, ΔCDPV and ΔVpeak-BA before VE in responsive group were significantly higher than those of the non-responsive group [SVV: (12.3±2.4)% vs. (9.2±2.1)%, ΔIVC: (22.3±5.3)% vs. (15.5±3.7)%, ΔCDPV: (15.3±3.3)% vs. (10.3±2.4)%, ΔVpeak-BA: (14.5±3.3)% vs. (9.6±2.3)%, all P < 0.05]. There was no significant difference in CVP [mmHg (1 mmHg = 0.133 kPa): 7.5±2.5 vs. 8.2±2.6] or ITBVI (mL/m2: 875.2±173.2 vs. 853.2±192.0) between the responsive group and non-responsive group (both P > 0.05). There was no significant difference in hemodynamic parameter after VE between the two groups. Correlation analysis showed that SVV, ΔIVC, ΔCDPV, and ΔVpeak-BA before VE showed significant linearity correlation with ΔCI (r value was 0.832, 0.813, 0.854, and 0.814, respectively, all P < 0.05), but no correlation was found between CVP and ΔCI (r = -0.342, P > 0.05) as well as ITBVI and ΔCI (r = -0.338, P > 0.05). ROC curve analysis showed that the area under ROC curve (AUC) of SVV, ΔIVC, ΔCDPV, and ΔVpeak-BA before VE for predicting fluid responsiveness was 0.857, 0.826, 0.906, and 0.866, respectively, which was significantly higher than that of CVP (AUC = 0.611) and ITBVI (AUC = 0.679). When the optimal cut-off value of SVV for predicting fluid responsiveness was 11.5%, the sensitivity was 70.4%, and the specificity was 94.7%. When the optimal cut-off value of ΔIVC was 20.5%, the sensitivity was 60.3%, and the specificity was 89.7%. When the optimal cut-off value of ΔCDPV was 13.0%, the sensitivity was 75.2%, and the specificity was 94.9%. When the optimal cut-off value of ΔVpeak-BA was 12.7%, the sensitivity was 64.8%, and the specificity was 89.7%. Conclusions Ultrasound assessment of ΔIVC, ΔCDPV, and ΔVpeak-BA could predict fluid responsiveness in patients with septic shock receiving mechanical ventilation. ΔCDPV had the highest predictive value among these parameters.
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Objective To investigate the etiology,clinical features and outcome of hospitalized patients with bloodstream infections (BSIs) in a tertiary hospital.Methods Positive blood cultures were obtained from the microbiological laboratory in Fuxing Hospital,Capital Medical University from January 1,2012 to December 31,2012.BSIS events were identified and the epidemiology data were collected.Results A total of 149 patients and 154 BSIs events were confirmed by pathogenic and clinical evidence.The inpatients' BSIs rate was 0.8％ in our hospital in 2012.According to the disease entities of the first BSIs onset,15 patients (10.1％) were from surgical departments,83 patients (55.7％) from the medical departments,and 51 patients (34.2％) from ICU.Thirty-three patients (22.1％) were diagnosed as septic shock.Sixty-eight patients died during hospital stay.The in-hospital mortality rate was 45.6％.Among the 154 BSIs events,125 (81.2％) were nosocomial and 29 (18.8％) were community-acquired.A total of 188 strains were isolated from all BSIs,including 106 strains of (56.4％) gram-negative bacilli,67 (35.6％) strains of gram-positive bacteria,and 15 (8.0％) strains of fungi.One hundred and fifty-nine strains of bacteria (84.6％) were isolated from 125 events of hospital-acquired BSIs.Twenty-six strains of bacteria were from catheter related bloodstream infections (CRBSIs).In gram-negative BSIs,there were more enterobacteriaceae in community-acquired BSIs.More non-fermentative bacteria were found in hospitalacquired BSIs than in community-acquired ones.The distribution of gram-negative bacilli was quite different between surgical departments,non-surgical departments and ICU (P =0.049).Conclusions Pathogens of BSIs are quite different according to disease entities and where the patients are from.Local epidemiology of BSIs and distribution of related pathogens are helpful to physicians searching the optimal empirical antibiotics and improving the outcome.
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Objective To compare the manipulation of two different methods of percutaneous dilatational tracheostomy (PDT),the guidewire dilating forceps (Portex method) and the modified onestep dilation technique (Ciaglia Blue Rhino method,CBR method).Methods From March 2013 to February 2014,48 patients eligible to meet the criteria of tracheostomy in ICU were collected and were divided into two groups at random.The length of time consumed for operation,amount of blood lost during operation and the operation complications were compared between two groups.The participant surgeons were asked which method they preferred,Portex or CBR.Results Of them,the mean age was 76.7 ± 11.6 years old,and 25 patients (52.1％) were male.The reasons for tracheotomy were the length of time needed for mechanical ventilation support expected to be longer than 2 weeks (n =30),severe disturbance of consciousness (n =17),and upper airway obstruction (n =1).The patients enrolled in the study were randomly divided into Portex and CBR groups.There were no significant differences in age,gender,APACHE Ⅱ score,the reason of tracheotomy,the length of time for mechanical ventilation support before tracheotomy,and the preoperative coagulation function between two groups.CBR method can easily be done with less operation time required than Portex [(5.9 ±4.3) min vs.(9.9 ± 1.5) min,P ＜0.01],and had obviously fewer operation complications and less amount of blood lost than Portex method (P ＜ 0.05).The male surgeons with a slew of surgical practice were in preference to Portex,whereas female doctors with less work experience and without surgical practice preferred CBR.Conclusions The CBR method can easier be done and was better than the Portex method in minimizing operative trauma and reducing the complications,especially it can easily be accepted by female doctors with less work experience and without surgical practice and it is worth using widely in clinic.
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Objective To evaluate the value of the change of B-type natriuretic peptide(BNP) in predicting weaning outcome of patients with mechanical ventilation in ICU.Methods We carried out a prospective cohort study on patients in ICU at Fuxing Hospital from July 2013 to January 2014.Patients expected to use mechanical ventilation for more than 24 hours were enrolled in our study.The plasma concentration of BNP was measured at the beginning of spontaneous breathing trial(SBT) and 2 hours after.According to the outcome of SBT,patients were divided into SBT failure group (group A),weaning failure group (group B) and weaning success group (group C).The levels of BNP before and after the SBT were compared among three groups.The receiver operating characteristic (ROC) curve analysis was used to evaluate the changes of BNP (△BNP) and the rate of change (△BNP％) in predicting weaning outcome.Results A total of 56 patients were enrolled in our study,12 in group A,11 in group B and 33 in groupC.In groupC,both△BNPand△BNP％ [7.0,(-1.2,45.5) ng/L;6.1 (-2.1,11.5)％]were significantly lower than those in group A [88.0 (58.0,140.0) ng/L,P ＜ 0.05;20.5 (15.3,40.3) ％,P＜0.001]and group B[46.0 (17.5,91.2) ng/L,P＜0.001;24.3(13.0,32.5) ％,P＜0.001].The area under ROC curve (AUC) of △BNP％ to predict weaning success was 0.88 [95％ CI 0.79-0.97;P ＜0.001] and the cut-off value is 13.4％ with relatively high sensitivity(84.8％)and specificity(82.6％).The AUC of △BNP to predict weaning success was 0.80 [95％ CI 0.69-0.92;P ＜ 0.001] and the cut-off value is 80ng/L with high sensitivity 93.4％ and mediocre specificity (47.9％).Conclusion Either △BNP％ or △BNP in the SBT can predict weaning outcome,in which △BNP％ seems better than △BNP.
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Objective To investigate the prevalent condition of endotracheal cuff pressure and risk factors for under inflation. Methods A prospective cohort study was conducted. Patients admitted to the Department of Critical Care Medicine of Fuxing Hospital Affiliated to Capital Medical University,who were intubated with a high-volume low-pressure endotracheal tube,and had undergone mechanical ventilation for at least 48 hours,were enrolled. The endotracheal cuff pressure was determined every 8 hours by a manual manometer connected to the distal edge of the valve cuff at 07:00,15:00,and 23:00. Measurement of the endotracheal cuff pressure was continued until the extubation of endotracheal or tracheostomy tube,or death of the patient. According to the incidence of under inflation of endotracheal cuff,patients were divided into the incidence of under inflation lower than 25%group(lower low cuff pressure group)and higher than 25% group(higher low cuff pressure group). The possible influencing factors were evaluated in the two groups,including body mass index(BMI),size of endotracheal tube,duration of intubation,use of sedative or analgesic,number of leaving from intensive care unit(ICU),the number of turning over the patients, and aspiration of sputum. Logistic regression analysis was used to determine risk factors for under-inflation of the endotracheal cuff. Results During the study period,53 patients were enrolled. There were 812 measurements,and 46.3%of them was abnormal,and 204 times(25.1%)of under inflation of endotracheal cuff were found. There were 24 patients(45.3%)in whom the incidence of under inflation rate was higher than 25%. The average of under inflation was 7(4,10)times. Compared with the group with lower rate of low cuff pressure,a longer time for intubation was found in group with higher rate of low cuff pressure〔hours:162(113,225)vs. 118(97,168),Z=-2.034,P=0.042〕. There were no differences between the two groups in other factors,including size of endotracheal tube,the time from intubation to first measurement of endotracheal cuff pressure,number of leaving from ICU during admission, use of sedative agent or analgesic,and the number of body turning and aspiration(all P>0.05). No risk factor was found resulting from under inflation of the endotracheal cuff by logistic regression analysis. No significant difference was found in the incidence of ventilator associated pneumonia,duration of mechanical ventilation,successful rate of weaning on 28th day,or 28-day mortality after weaning from mechanical ventilation,and ICU mortality between the two groups. However,patients in the group of higher rate of low cuff pressure had a longer ICU stay compared with that in the group of lower rate of low cuff pressure group〔days:13(8,21)vs. 10(6,18),Z=-2.120,P=0.034〕. Conclusions Abnormal endotracheal cuff pressure is common in critically ill patients with intratracheal intubation. Duration of intubation is associated with under inflation of the cuff,and it calls for strengthening monitoring and management.
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Objective To approach the evaluative effect of respiratory variation of superior vena cava peak flow velocity measured using transthoracic echocardiography (TTE) on fluid responsiveness in patients with mechanical ventilation.Methods A prospective cohort study was conducted.All mechanical ventilated critically ill patients whose fluid therapy was planned due to hypovolemia in Department of Critical Care Medicine of Beijing Tongren Hospital of Capital Medical University from April 2011 to April 2013 were enrolled.Volume expansion was performed with 500 mL Linger solution within 30 minutes.Patients were classified as responders if pulse pressure variation (PPV) increased ≥ 13％ before volume expansion.The respiratory variation in superior vena cava peak velocity was calculated as the difference between maximum and minimum values of velocity in peak A,peak S and peak D over a single respiratory circle,and their variations (ΔA,ΔS,ΔD) were also calculated.The receiver operating characteristic curve (ROC curve) was plotted to assess the evaluative effect of respiratory variation of superior vena cava peak velocity on fluid responsiveness.Results Twenty-seven patients were enrolled in this study.Volume expansion increased PPV ≥ 13％ happened in 14 patients (responders).The velocity of superior vena cava in peak A,peak S,peak D was significantly increased after volume expansion compared with that before volume expansion in responders [peak A (cm/s):34.6 ± 2.2 vs.31.3 ±2.1,t=-2.493,P=0.027; peak S (cm/s):39.1 ± 1.3 vs.35.3 ±2.1,t=-2.564,P=0.024; peak D (cm/s):28.1 ± 1.2 vs.23.3 ± 1.4,t=-4.995,P=0.000],but there was no significant difference in ΔA,ΔS and ΔD between before and after volume expansion.The ΔA,ΔS and ΔD were positively correlated with PPV (r＝0.040,P=0.854; r=0.350,P=0.074; r=0.749,P=0.000).The area under ROC curve (AUC) of peak S was 0.36 [95％ confidence interval (95％CI):0.11-0.52],but the AUC of ΔS was 0.68 (95％CI 0.47-0.89),the AUC of peak D was 0.41 (95％CI 0.19-0.63),but the AUC of ΔD was 0.95 (95％CI 0.86-1.00),so the aberration rate of superior vena cava in respiration was better than the flow rate in superior vena cava.When the cut-off value of ΔS was 20.7％ for predicting fluid responsiveness,the sensitivity was 78.6％ and the specificity was 61.5％.When the cut-off value of ΔD was 12.7％ for predicting fluid responsiveness,the sensitivity was 92.0％ and the specificity was 92.3％.Conclusion Respiratory variations in superior vena cava peak velocity measured by TTE could assess fluid responsiveness in patients with mechanical ventilation.
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Objective To explore the status, characteristics and factors in relation to occupational stress for medical staffs in tertiary general hospitals. Methods A total of 2460 medical staff were sampled in five tertiary general hospitals in Beijing, with their occupational stress levels evaluated with the Occupational Stress Inventory. Results The top ten stressors as found ranked as heavy duty, high risk exposure, high workload, low wages, setbacks in the health care management system, insufficient staffing, excessively frequent inspections and examinations, strained doctor-patient relationship, price inflation, frequent overtime, and pressure from continuous learning. Occupational stress is seen as moderate and above by 95.2% of the surveyed. Differences in age, gender, marital status, professional title, education, work experience, as well as those of different organizations, departments, professions, and duty were found to be statistically significant in regard of professional stress. Conclusions Stress management should be in place targeting demographic and stress characteristics. Effective measures are recommended to alleviate the pressure on medical staff, in order to maintain their physical and mental health, hence improving their work efficiency and organizational cohesion.
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Objective To compare the early and delayed tracheostomy in patients treated with prolonged mechanical ventilation in respects of mortality.incidence of nosocomial pneunonia and length of ICU stay.Methods Randomized controlled trials(RCTs)and quasi-randomized controlled trials(quasi-RCTs)were performed by searching throush the Ovide MEDLINE(1996-2006.7),EMBASE(1980-2006.7),Cochrane Database(Issue 2,2006),Chinese Cochrane Centre Database and CBMdisc(1978-2006.7).The published and unpublished data and their references were searched.All RCTs and quasi-RCT of tracheostomy for critically ill patients treated withprolonged mechanical ventilation were included.Data were collected and evaluated by two reviewers independently and separately.RevMan version 4.2 software was used for data analysis.Results Two hundred and eighty-six patients from 4 RCTs and 106 cases from one quasi-RCT were taken for meta analysis.The meta-analysis showed that the early tracheostomy could reduce mortality(OR 0.69,95%CI 0.51,0.95),significantly shorten the duration of mechanical ventilation(WMD-8.49,95%CI-15.32,-1.66)and shorten the length of ICU stay as well(WMD-15.33,95%CI-24.58,-6.08)in patients treated with prolonged mechanical ventilation.but the incidence of nosocemial pneumonia was not different between two sorts of patients(OR 0.91,95%CI 0.70,1.18).Conclusions In case of prolonged mechanical ventilation,the tracheostomy performed at earlier stage may decrease the mortality,and shorten the duration of mechanical ventilation and the length of ICU stay.but cannot reduce the incidence of nosocomial pneumonia.
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Objective To compare the incidences of agitation and circulatory fluctuation in mechanically ventilated patients receiving different sedatives for daily arousal,and develop a safe sedation strategy.Methods Ninety four patients in ICU,who received mechanical ventilation over 24 hours,were selected from five clinical centers.Based on the analgesia with continuous pumping of fentanyl,patients were randomly given midazolam(M group),propofol(P group)or sequential midazolam-propofol(M-P group)for sedation.The depth of sedation was maintained within SAS 2-4 by close monitoring.The administration of all sedatives and analgesics was terminated at 9:00 am till patients were fully waked up.The incidence of agitation,blood pressure,heart rate fluctuation,patients' arousal time,and their recollection to actual mechanical ventilation events after been transferred out of ICU were investigated.Results The mean SAS scores showed no difference in each group.The arousal time was significantly longer in group M than that in other two groups(P