To explore the characteristics of changes in peripheral blood lymphocyte subsets in patients with sepsis in intensive care unit (ICU) and analyze their predictive value for prognosis.The clinical data of sepsis patients admitted to the surgical intensive care unit (SICU) of the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2021 were analyzed retrospectively. The patients met the diagnostic criteria of Sepsis-3 and were ≥ 18 years old. Peripheral venous blood samples were collected from all patients on the next morning after admission to SICU for routine blood test and peripheral blood lymphocyte subsets. According to the 28-day survival, the patients were divided into two groups, and the differences in immune indexes between the two groups were compared. Logistic regression analysis was used to analyze the risk factors of immune indexes that affect prognosis.(1) A total of 279 patients with sepsis were enrolled in the experiment, of which 198 patients survived at 28 days (28-day survival rate 71.0%), and 81 patients died (28-day mortality 29.0%). There were no significant differences in age (years old: 57.81±1.71 vs. 54.99±1.05) and gender (male: 60.5% vs. 63.6%) between the death group and the survival group (both P > 0.05), and the baseline data was comparable.(2) Acute physiology and chronic health evalution II (APACHE II: 22.06±0.08 vs. 14.08±0.52, P < 0.001), neutrophil percentage [NEU%: (88.90±1.09)% vs. (84.12±0.77)%, P = 0.001], procalcitonin [PCT (μg/L): 11.97±2.73 vs. 5.76±1.08, P = 0.011], platelet distribution width (fL: 16.81±0.10 vs. 16.57±0.06, P = 0.029) were higher than those in the survival group, while lymphocyte percentage [LYM%: (6.98±0.78)% vs. (10.59±0.86)%, P = 0.012], lymphocyte count [LYM (×109/L): 0.70±0.06 vs. 0.98±0.49, P = 0.002], and platelet count [PLT (×109/L): 151.38±13.96 vs. 205.80±9.38, P = 0.002], and thrombocytocrit [(0.15±0.01)% vs. (0.19±0.07)%, P = 0.012] were lower than those in the survival group. (3) There was no statistically significant difference in the percentage of lymphocyte subsets between the death group and the survival group, but the absolute value of LYM (pieces/μL: 650.24±84.67 vs. 876.64±38.02, P = 0.005), CD3+ absolute value (pieces/μL: 445.30±57.33 vs. 606.84±29.25, P = 0.006), CD3+CD4+ absolute value (pieces/μL: 239.97±26.96 vs. 353.49±18.59, P = 0.001), CD19+ absolute value (pieces/μL: 111.10±18.66 vs. 150.30±10.15, P = 0.049) in the death group was lower than those in the survival group. Other lymphocyte subsets in the death group, such as CD3+CD8+ absolute value (pieces/μL: 172.40±24.34 vs. 211.22±11.95, P = 0.112), absolute value of natural killer cell [NK (pieces/μL): 101.26±18.15 vs. 114.72±7.64, P = 0.420], absolute value of natural killer T cell [NKT (pieces/μL): 33.22±5.13 vs. 39.43±2.85, P = 0.262], CD4-CD8- absolute value (pieces/μL: 41.07±11.07 vs. 48.84±3.31, P = 0.510), CD4+CD8+ absolute value (pieces/μL: 3.39±1.45 vs. 3.47±0.36, P = 0.943) were not significantly different from those in the survival group. (4)Logistic regression analysis showed that lymphocyte subsets were not selected as immune markers with statistical significance for the prognosis of sepsis.The changes of immune indexes in sepsis patients are closely related to their prognosis. Early monitoring of the above indexes can accurately evaluate the condition and prognosis of sepsis patients.
To investigate the effect of recombinant human thrombogenin (rhTPO) on sepsis-associated thrombocytopenia.A prospective randomized controlled study was conducted. One hundred patients with sepsis-associated thrombocytopenia admitted to the department of critical care medicine of the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2020 were enrolled. The enrolled patients were divided into rhTPO-using group (TPO group) and routine group (control group) by random number table method, with 50 cases in each group. Both groups were treated according to the guideline of Sepsis-3. In addition, TPO group received rhTPO 15 000 U, once daily for 7 days. Geneal information and acute physiology and chronic health evaluation II (APACHE II) were recorded. The levels of platelet count (PLT), blood coagulation function [prothrombin time (PT) and prothrombin activity (PTA)], myocardial enzyme indexes [troponin (Tn) and creatine kinase (CK)], liver and kidney function [aspartate aminotransferase (AST), total bilirubin (TBil) and creatinine (Cr)] and inflammatory biomarkers [procalcitonin (PCT) and C-reactive protein (CRP)] were recorded before treatment and 1, 3, 5 and 7 days after treatment. The infusion volume of blood components, duration of mechanical ventilation, length of stay in ICU, total length of hospitalization, total cost of hospitalization and 28-day outcome were recorded. According to whether the PLT was lower than 50×109/L, the patients in TPO group were divided into the TPO A group (PLT ≥ 50×109/L, 16 cases) and TPO B group (PLT < 50×109/L, 34 cases), and the absolute value of PLT increase, duration of mechanical ventilation, length of stay in ICU, total length of hospitalization, total cost of hospitalization and 28-day outcome of the two groups were compared.(1) In TPO and control groups, there were no statistically significant differences in gender, age, proportion of patients with primary infection site, APACHEII score, PLT, coagulation function, myocardial enzymes, liver and kidney function and inflammation indexes before treatment (all P > 0.05). (2) The PLT levels of the TPO group were significantly higher than those of the control group on the 5th and 7th day after treatment (×109/L: day 5, 63.94±44.01 vs. 49.85±29.26, day 7, 125.85±112.31 vs. 76.81±50.87, both P < 0.05), and there were no statistically significant differences in PT, PTA, Tn, CK, AST, TBil, Cr, PCT or CRP before and on the 1, 3, 5, 7 days after treatment between TPO and control groups (all P > 0.05). (3) The amount of platelet transfusion in the TPO group was lower than that in the control group [treatment amount: 0 (0, 0) vs 0 (0, 2.00), P = 0.001]. (4) There were no statistically significant differences in mechanical ventilation time, length of stay in ICU, total length of hospitalization, total cost of hospitalization or 28-day outcome between TPO and control groups (all P > 0.05). The mechanical ventilation time, ICU stay time and total hospitalization time of TPO A group were longer than those in TPO B group, but the differences were not statistically significant [mechanical ventilation time (hours): 131.00 (0, 311.00) vs. 50.00 (0, 192.00), ICU stay time (days): 14.44±8.57 vs. 11.73±9.24, total hospitalization time (days): 15.00 (6.00, 23.50) vs. 18.00 (8.00, 31.00), all P > 0.05]. The absolute value of PLT increase in TPO A group was higher than that of TPO B group, but the difference was not statistically significant [×109/L: 65.00 (16.50, 131.50) vs. 36.00 (18.00, 130.00), P > 0.05].RhTPO can significantly increase the PLT of patients with sepsis-related thrombocytopenia, thereby reduce the amount of platelet transfusion, but it cannot shorten the length of ICU stay time and total hospitalization time, and it cannot reduce 28-day mortality.
To analyze the influencing factors of prognosis of patients with diabetic kidney disease (DKD) in intensive care unit (ICU), and analyze their predictive value.Based on the inpatient information of more than 50 000 patients from June 2001 to October 2012 in the latest version of American Intensive Care Medical Information Database (MIMIC-III v1.4), the data of DKD patients were screened out, including gender, age, body weight, comorbidities [hypertension, coronary heart disease, chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD)], sequential organ failure assessment (SOFA) score, the length of ICU stay, the incidence of mechanical ventilation, vasoactive drugs and renal replacement therapy during the ICU hospitalization, complications of other diseases [ventilator-associated pneumonia (VAP), urinary tract infection (UTI), diabetic ketoacidosis (DKA), acute myocardial infarction (AKI)] and prognosis of ICU. At the same time, the blood routine and biochemical data of the first 24 hours in ICU and the extremum values during the ICU hospitalization were collected. Multivariate Logistic regression analysis was used to screen the prognostic factors of DKD patients in ICU, and receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of death risk factors.416 DKD patients were screened out, 20 patients were excluded due to data missing, and finally 396 patients were enrolled, including 220 survival patients and 176 dead patients. Compared with the survival group, the patients in the death group were older (years old: 57.13±13.04 vs. 52.61±14.15), with lower rates of hypertension and CKD (11.4% vs. 23.6%, 26.7% vs. 41.4%), higher SOFA scores and baseline values of blood urea nitrogen (BUN), serum creatinine (SCr) and blood K+ [SOFA score: 5.86±2.79 vs. 4.49±2.56, BUN (mmol/L): 18.4±10.0 vs. 14.8±9.0, SCr (μmol/L): 387.2±382.8 vs. 284.6±244.9, K+ (mmol/L): 4.64±0.99 vs. 4.33±0.86], and longer ICU stay [days: 2.65 (1.48, 5.21) vs. 2.00 (1.00, 4.00)], and the differences were statistically significant (all P < 0.01). Further analysis of laboratory tests extremum values during ICU hospitalization showed that the maximum (max) and minimum (min) values of white blood cell (WBC), BUN and SCr, and K+max in the death group were significantly higher than those in the survival group [WBCmax (×109/L): 17.3±10.3 vs. 14.5±7.3, WBCmin (×109/L): 7.9±4.1 vs. 6.7±2.7, BUNmax (mmol/L): 23.8±10.4 vs. 18.8±10.2, BUNmin (mmol/L): 11.0±6.6 vs. 9.3±6.6, SCrmax (μmol/L): 459.7±392.5 vs. 350.1±294.4, SCrmin (μmol/L): 246.6±180.3 vs. 206.9±195.4, K+max (mmol/L): 5.35±0.93 vs. 5.09±0.99], and the minimum values of hemoglobin (Hbmin) and glucose (Glumin) were significantly lower than those in the survival group [Hbmin (g/L): 87.4±14.5 vs. 90.6±16.5, Glumin (mmol/L): 4.0±1.7 vs. 4.6±2.0], and the differences were statistically significant (all P < 0.05). The incidences of mechanical ventilation and vasoactive drugs during ICU hospitalization in the death group were significantly higher than those in the survival group (37.5% vs. 24.1%, 32.4% vs. 20.0%, both P < 0.01), and the incidences of UTI and AMI in the death group were significantly higher than those in the survival group (29.5% vs. 19.1%, 8.5% vs. 3.6%, both P < 0.05). Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.019, 95% confidence interval (95%CI) was 1.003-1.036, P = 0.023], SOFA score (OR = 1.142, 95%CI was 1.105-1.246, P = 0.003), WBCmin (OR = 1.134, 95%CI was 1.054-1.221, P = 0.001) and BUNmax (OR = 1.010, 95%CI was 1.002-1.018, P = 0.018) were risk factors of death of DKD patients in ICU. ROC curve analysis showed that the area under ROC curve (AUC) of combination of risks factors of death was 0.706, the sensitivity was 61.6%, and the specificity was 73.2%.In order to prevent DKD patients from getting worse in ICU, we should pay close attention to the blood biochemical indexes, especially the renal function indexes, and give timely treatment. At the same time, we should actively prevent the occurrence of complications such as infection and cardiovascular disease.
To compare the impact of mean lactate concentration and lactate variability on postoperative outcome after cardiac surgery and non-cardiac surgery in critical patients, and to explore the prognostic value of the first lactate and the highest lactate during the first 24 hours in intensive care unit (ICU).A retrospective study was conducted. The postoperative patients of cardiac surgery and non-cardiac surgery who were transferred to ICU immediately, and who were at least 18 years old and whose ICU lengths of stay were at least 1 day, and who were admitted to ICU of the First Affiliated Hospital of Zhengzhou University from September 2014 to September 2016 were enrolled. According to the mean lactate concentration, the patients were divided into normal lactate group (0-2 mmol/L), relatively high lactate group (2-4 mmol/L), and absolute high lactate group (> 4 mmol/L), and the relationship between the mean lactate concentration and the prognosis of patients was analyzed. According to the degree of lactate variability, the patients were divided into four groups, and multivariate regression models were used to assess the risk of death in three different lactate variability groups. The value of the first lactate value and the highest lactate value during the first 24 hours in ICU were evaluated to predict the prognosis by the receiver operating characteristic (ROC) curve.268 postoperative patients of cardiac surgery and 281 cases of non-cardiac surgery were selected, and the characteristic of the baseline data in the two groups was balanced. (1) Mean lactate concentration and mortality in ICU: in the normal lactate group (0-2 mmol/L), there was no significant difference in mortality between the post-cardiac operative group and post-non-cardiac operative group [7.9% (14/177) vs. 6.5% (14/217), odds ratio (OR) = 1.245, P = 0.694]. In the relatively high lactate group (2-4 mmol/L), there was no significant difference between the two groups, either [33.3% (12/36) vs. 23.7% (9/38), OR = 1.611, P = 0.442]. In the absolute high lactate group (> 4 mmol/L), ICU mortality in post-non-cardiac operative group was obviously higher than that of post-cardiac operative group [69.2% (18/26) vs. 43.6% (24/55), OR = 0.344, P = 0.036]. (2) The ranges of lactate variability per quartile (mmol×L-1×d-1) and ICU mortality risk: there was a linear relationship between lactate variability and ICU mortality in post-non-cardiac operative group, < 0.50 (reference), 0.50-0.85 (OR = 1.17, P = 0.87), 0.85-1.44 (OR = 4.86, P = 0.04), > 1.44 (OR = 22.66, P < 0.01) , and there was a significant difference between the two groups in the high degree of variability (0.85-1.44 and > 1.44). The risk of death after cardiac surgery tended to increase, < 0.55 (reference), 0.55-1.25 (OR = 0.61, P = 0.61), 1.25-2.43 (OR = 3.46, P = 0.10), > 2.43 (OR = 12.14, P < 0.01), and the risk of death only showed difference in the highest degree of variation (> 2.43). (3) ROC curve showed that the area under ROC curves (AUC) of the highest lactate in 24 hours were larger than that of the first lactate in both groups, with higher sensitivity and specificity. In the post-cardiac operative group and post-non-cardiac operative group, the AUC of the highest lactate in the first 24 hours were 0.877 and 0.875, the cut-off values were 5.35 mmol/L and 5.65 mmol/L, the sensitivity were 81.4% and 67.9%, and the specificity were 93.8% and 96.1%, respectively.Patients with post-non-cardiac operation should be more active in controlling hyperlactatemia and lactate variability. The highest lactate in the first 24 hours maybe one of the indicator for the assessment of the prognosis of the postoperative patients.
To explore the relevant clinical test indicators that affect the prognosis of patients with acute fatty liver of pregnancy (AFLP), and to provide a basis for early diagnosis and correct selection of treatment methods.A retrospective analysis was conducted. Clinical data of AFLP patients in the intensive care unit (ICU) of the First Affiliated Hospital of Zhengzhou University from January 2010 to May 2021 were collected. According to the 28-day prognosis, the patients were divided into death group and survival group. The clinical data, laboratory examination indicators, and prognosis of the two groups were compared, and further binary Logistic regression analysis was used to analyze the risk factors affecting the prognosis of patients. At the same time, the values of related indicators at each time point (24, 48, 72 hours) after the start of treatment were recorded. The receiver operator characteristic curve (ROC curve) of prothrombin time (PT) and international normalized ratio (INR) for evaluating the prognosis of patients at each time point was drawn, and the area under the ROC curve (AUC) was calculated to evaluate the predictive value of relevant indicators at each time point for the prognosis of AFLP patients.A total of 64 AFLP patients were selected. The patients developed the AFLP during pregnancy (34.5±6.8) weeks, with 14 deaths (mortality of 21.9%) and 50 survivors (survival rate of 78.1%). There was no statistically significant difference in general clinical data between the two groups of patients, including age, time from onset to visit, time from visit to cessation of pregnancy, acute physiology and chronic health evaluations II (APACHE II), hospitalization time in ICU, and total hospitalization cost. However, the proportion of male fetuses and stillbirths in the death group was higher than that in the survival group. The laboratory examination indicators including the white blood cell count (WBC), alanine transaminase (ALT), serum creatinine (SCr), PT extension, INR elevation, and hyperammonia in the death group were significantly higher than those in the survival group (all P < 0.05). Through Logistic regression analysis of the above indicators showed that PT > 14 s and INR > 1.5 were risk factors affecting the prognosis of AFLP patients [PT > 14 s: odds ratio (OR) = 1.215, 95% confidence interval (95%CI) was 1.076-1.371, INR > 1.5: OR = 0.719, 95%CI was 0.624-0.829, both P < 0.01]. ROC curve analysis showed that both PT and INR at ICU admission and 24, 48, and 72 hours of treatment can evaluate the prognosis of AFLP patients [AUC and 95%CI of PT were 0.772 (0.599-0.945), 0.763 (0.608-0.918), 0.879 (0.795-0.963), and 0.957 (0.904-1.000), respectively; AUC and 95%CI of INR were 0.808 (0.650-0.966), 0.730 (0.564-0.896), 0.854 (0.761-0.947), and 0.952 (0.896-1.000), respectively; all P < 0.05], the AUC of PT and INR after 72 hours of treatment was the highest, with higher sensitivity (93.5%, 91.8%) and specificity (90.9%, 90.9%).AFLP often occurs in the middle and late stages of pregnancy, and the initial symptoms are mainly gastrointestinal symptoms. Once discovered, pregnancy should be terminated immediately. PT and INR are good indicators for evaluating AFLP patient efficacy and prognosis, and PT and INR are the best prognostic indicators after 72 hours of treatment.
To determine the dynamic change in serum levels of activin A (ACTA) and C-reaction protein (CRP) in patients with brain injury, and to investigate its significance.A prospective study was conducted. A total of 57 adult patients with brain injury occurring within 24 hours admitted to intensive care unit (ICU) of the First Affiliated Hospital of Zhengzhou University from August 2012 to June 2013 were enrolled. The patients were allocated into three groups according to their Glasgow coma scale (GCS) as follows: minor brain injury (GCS 13-15, n=17), moderate brain injury (GCS 9-12, n=18), heavy brain injury (GCS 3-8, n=22). The clinical and related laboratory data (reflecting the function of liver, kidney, lung, blood coagulability etc.) were recorded after ICU admission. At the same time, venous samples were collected on the day 1, 2, 3, 5, 7 after ICU admission for determination of ACTA with enzyme linked immunosorbent assay (ELISA) and CRP with fluorescence immunoassay technology. The correlation between ACTA and CRP was analyzed by linear correlation. The receiver operating characteristic (ROC) curve was plotted to analyze the accuracy of ACTA and CRP as a prognostic indicator in brain injury. Fifteen healthy persons were enrolled as the control group.The serum levels of ACTA and CRP in patients with minor, moderate and heavy brain injury were significantly higher than those in healthy control group [ACTA (μg/L): 23.96±3.55, 42.06±5.67, 52.32±4.46 vs. 13.66±2.45, all P<0.01; CRP (mg/L): 14.12±2.45, 23.05±2.85, 30.93±2.35 vs. 3.42±2.25, all P<0.01]. As the patients' condition worsening, levels of ACTA and CRP tended to elevate (all P<0.01). Levels of ACTA and CRP in minor, moderate and heavy brain injury groups were increased after ICU admission. On day 3, levels of serum ACTA and CRP reached the peak values [ACTA (μg/L):30.62±2.54, 51.35±2.55, 60.52±2.55; CRP (mg/L): 18.62±2.64, 30.35±2.25, 37.52±2.55], and then they lowered gradually. In minor and moderate brain injury groups, the levels of ACTA and CRP were slowly descending, and on day 7, they maintained at a lower level [ACTA (μg/L): 13.68±2.54, 37.74±2.55; CRP (mg/L): 6.68±2.44, 19.74±2.55]. On the contrary, the levels of ACTA and CRP in heavy brain injury group persistently maintained at a high level on day 7 [ACTA: (42.32±2.54) μg/L, CRP: (33.32±2.56) mg/L]. There were significant differences in ACTA and CRP among different degrees of brain injury groups (all P<0.01). There was a positive correlation between ACTA and CRP (r=0.958, P=0.007). ROC curve analysis showed that the sensitivity for brain injury prediction was 93.3% for ACTA with specificity 95.0%, area under ROC curve(AUC) 0.843, and the sensitivity for CRP was 89.1% with specificity 68.2%, AUC 0.723.Serum levels of ACTA and CRP in patients with brain injury are strongly correlated with the severity of the injury. Furthermore, ACTA is more sensitive than CRP in detecting early brain injury. Therefore, ACTA is a specific factor for detecting brain injury.
To investigate the effects of pyrrolidine dithiocarbamate (PDTC) on oxidative stress and mitochondrial function of lung tissue in mice with acute lung injury (ALI) induced by lipopolysaccharide (LPS).Forty female Balb/c mice were randomly divided into normal saline (NS) control group, LPS model group, PDTC group, and PDTC+LPS group, with 10 mice in each group. The model of mice with ALI was reproduced by intraperitoneal injection of 15 mg/kg LPS. PDTC was administered intraperitoneally with 50 mg/kg PDTC 1 hour before LPS treatment in the PDTC+LPS group. The mice in NS control group was given intraperitoneal injection of 0.1 mL NS only, and those in PDTC group was given intraperitoneal injection of 50 mg/kg PDTC only. The mice were sacrificed at 24 hours after model reproduction, and the lung tissues were harvested. The total antioxidant capacity (T-AOC) of lung tissue was measured by spectrophotometric kits. The content of malondialdehyde (MDA) was determined by thiobarbituric acid reactive substances assay. The protein expressions of superoxide dismutases (SOD1, SOD2) and catalase (CAT) in lung tissue were determined by Western Blot. Mitochondria from mouse lungs were isolated, and adenosine triphosphate (ATP) synthesis was measured with a luciferase/luciferin-based approach. The mitochondrial membrane potential (ΔΨm) was estimated by using Rhodamine. The mRNA expressions of mitochondrial uncoupling proteins (UCPs) were determined by reverse transcription-polymerase chain reaction (RT-PCR).LPS stimulation could significantly increase oxidative stress in lung tissue of mice and lead to mitochondrial dysfunction. The results showed that the protein expressions of T-AOC and SOD1 were decreased, the level of MDA was increased, the ATP synthesis was decreased in the mitochondrial, the ΔΨm was decreased, and the mRNA expression of UCP2 was decreased. However, there was no significant change in the expressions of SOD2, CAT in lung tissue and UCP1, UCP3 in the mitochondria. Pretreatment with PDTC could obviously alleviate the increase in LPS-induced oxidative stress in lung tissue and mitigate mitochondrial dysfunction. Compared with the LPS model group, T-AOC in lung tissue of PDTC+LPS group was significantly increased (U/g: 0.35±0.08 vs. 0.31±0.07), the level of MDA was significantly decreased (μmol/mg: 13.29±1.13 vs. 17.54±1.72), the protein expression of SOD1 was significantly upregulated (SOD1 protein: 1.13±0.11 vs. 0.71±0.09), ATP synthesis was significantly increased in the mitochondrial (μmol/mg: 49.23±5.42 vs. 36.92±2.21), ΔΨm was significantly increased (mV: 226.03±11.69 vs. 194.86±7.79), and the mRNA expression of UCP2 was significantly increased (2-ΔΔCt: 0.88±0.06 vs. 0.73±0.04). The differences were statistically significant (all P < 0.05). In lung tissue of normal mice, PDTC treatment also had the effect of anti-oxidizing, reducing oxidative stress and promoting ATP synthesis in the mitochondrial. Compared with the NS control group, the level of T-AOC (U/g: 0.49±0.09 vs. 0.43±0.06) and the protein expressions of SOD2 and CAT (SOD2 protein: 1.33±0.08 vs. 1.00±0.11, CAT protein: 1.39±0.08 vs. 1.00±0.11), and ATP synthesis in the mitochondrial of PDTC group was significantly increased (μmol/mg: 61.53±4.92 vs. 53.33±3.20), MDA was significantly decreased (μmol/mg: 10.27±1.25 vs. 12.27±1.36), with statistical differences, but had no effect on the protein expression of SOD1 in lung tissue and ΔΨm and UCPs mRNA expressions in mitochondrion.LPS can induce ALI in mice, increased oxidative stress in lung tissue, and induce mitochondrial dysfunction by inhibiting ATP synthesis. PDTC pretreatment has anti-oxidative effect on LPS-induced ALI, and can mitigate mitochondrial dysfunction.
Objective To study the relationship between the disseminated intravascular coagulation (DIC) score and assessment of illness and prognosis in sepsis. Methods A retrospective analysis of 315 patients with sepsis that admitted into the First Affiliated Hospital of Zhengzhou University hospital intensive care unit (ICU) from January 2005 to December 2008 was made. The patients were divided into survival group (194 cases) and death group (112 cases) according to the outcome within 28 days. The difference of the platelet (PLT) count, fibrinogen (Fib), prothrombin time (PT), and fibrin monomer were compared between two groups. The relationship between acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, DIC score and prognosis were analyzed by univariate logistic regression analysis, then APACHEⅡ score and DIC score in sepsis were evaluated. Results PLT count and Fib of the death group were lower than those of the survival group, PT, activated partial thrombin time (APTT), activated clotting time (ACT) and fibrin monomer of the death group were higher than those of the survival group. APACHEⅡ score and DIC score of the death group were higher than those of the survival group (P<0.05 or P<0.01). There was a positive correlation among APACHEⅡ score, DIC score and the prognosis of sepsis [DIC score: χ2=17.741, P＜0.001, odds ratio (OR)=1.413, 95% confidence interval (CI) 1.2031.659; APACHEⅡ score: χ2=36.456, P＜0.001, OR=1.109, 95%CI 1.0721.147]. Area under the curve of APACHEⅡ score (0.706) was higher than DIC score (0.611). Conclusion APACHEⅡ score and DIC score can be used as the prognostic factors of sepsis, but the value of DIC score was lower than APACHEⅡ score in diagnosis and prognosis of sepsis.
Key words:
disseminated intravascular coagulation score; acute physiology and chronic health evaluationⅡ score; sepsis; prognosis
This study mainly studied the effect of inhibition of nuclear factor-κB (NF-κB) signal by pyrrolidine dithiocarbamate (PDTC) on lipopolysaccharide (LPS)-induced inflammatory response, oxidative stress, and mitochondrial dysfunction in a murine acute lung injury model. The results showed that LPS exposure activated NF-κB and its upstream proteins and caused lung inflammation, oxidative stress, and mitochondrial dysfunction in mice. While inhibition of NF-κB by PDTC adminstration alleviated LPS-induced generation of lymphocytes, IL-1β, and TNF-α. Malondialdehyde, a common oxidative product, was markedly reduced after PDTC treatment in LPS-challenged mice. Furthermore, PDTC alleviated LPS-induced mitochondrial dysfunction via improving ATP synthesis and uncoupling protein 2 expression. In conclusion, inhibition of NF-κB by PDTC alleviated LPS-induced acute lung injury via maintaining inflammatory status, oxidative balance, and mitochondrial function in mice.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)