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OBJECTIVE To investigate the effects of individualized dosing regimen on blood trough concentration of vancomycin and renal function in critically ill patients. METHODS According to relevant guidelines and the results of Vancomycin Calculator， clinical pharmacists formulated an individualized dosing regimen of vancomycin including loading dose and maintenance dose for critically ill patients based on the two independent variables of body weight and creatinine clearance rate. Using the method of retrospective study， patients who were admitted to the department of intensive care unit （ICU） of the Second Affiliated Hospital of Guangzhou Medical University and used the regimen from July 2018 to December 2021 were selected as the trial group， and patients who were treated with vancomycin and received blood drug concentration monitoring in ICU from January 2015 to June 2018 were recruited in the control group. The difference in trough concentration distribution and the incidence of acute kidney injury （AKI） after medication were compared between the two groups， the change of serum creatinine before and after medication in the trial group was analyzed. RESULTS Totally 197 patients were included in the trial group and 144 patients were in the control group. There was no significant difference between the two groups in the clinical information （gender， age， body weight， acute physiology and chronic health evaluation Ⅱ score， the proportion of patients with renal insufficiency， etc.） （P＞0.05）. The proportions of major infection sites （including lung， urinary， abdominal， blood and central nervous system） and treatment type （target or empirical treatment） also had no significant difference between the two groups （P＞0.05）. There was no significant difference in the attainment rate of ideal trough concentration （15-20 μg/mL） and the proportion of patients with trough concentration ＞20 μg/mL between the two groups （P＞0.05）， while the attainment rate of target trough concentration （10-20 μg/mL） and the proportion of patients with trough concentration ＜10 μg/mL were significantly different between the two groups （P＜0.05）. The attainment rate of target trough concentration in patients with chronic renal insufficiency in trial group was significantly higher than that in control group （P＜0.05）. There was no significant difference in the incidence of AKI and vancomycin-associated AKI between the two groups （P＞0.05）. In the trial group with medication duration ≥7 days ， the level of serum creatinine on the 7th day of treatment was increased significantly， compared with that on the 3rd day of treatment （P＜0.05）. CONCLUSIONS This individualized dosing regimen can improve the attainment rate of target trough concentration of vancomycin in critically ill patients， especially those with chronic renal insufficiency， during the first standardized monitoring， and not increase the risk of renal injury compared with previous empirical medication.
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Objective:To assess the effect of intra-aortic balloon pump (IABP) on in-hospital mortality in patients with cardiac arrest undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:A retrospective study was performed on 696 patients with intra-hospital cardiac arrest undergoing ECPR from Samsung Medical Center in Korea between January 2004 and December 2013. According to whether IABP was used, the patients were divided into ECPR group and ECPR+IABP group. Cox regression and propensity score matching (PSM) were used to examine the correlation between IABP usage and in-hospital mortality, and standardized mean difference ( SMD) was used to check the degree of PSM. Survival analysis of in-hospital mortality was performed by the Kaplan-Meier method, and further analyzed by the Log-Rank test. Using the propensity score as weights, multiple regression model and inverse probability weighting (IPW) model were used for sensitivity analysis. In-hospital mortality, extracorporeal membrane oxygenation (ECMO) withdrawal success rate and neurological function prognosis were compared between the two groups. Results:A total of 199 patients with cardiac arrest undergoing ECPR were included, including 120 males and 79 females, and the average age was (60.0±16.8) years. Thirty-one patients (15.6%) were treated with ECPR and IABP, and 168 patients (84.4%) only received ECPR. The total hospitalized mortality was 68.8% (137/199). The 1 : 1 nearest neighbor matching algorithm was performed with the 0.2 caliper value. The following variables were selected to generate propensity scores, including age, gender, race, marital status, insurance, admission type, service unit, heart rate, mean arterial pressure, respiratory rate, pulse oxygen saturation, white blood cell count. After the propensity score matching, 24 pairs of patients were successfully matched, with the average age of (63.0±12.8) years, including 31 males and 17 females. The in-hospital mortality was 72.6% (122/168) and 48.4% (15/31) in the ECPR group and the ECPR+IABP group [hazard ratio ( HR) = 0.48, 95% confidence interval (95% CI) was 0.28-0.82, P = 0.007]. Multiple regression model, adjusted propensity score, PSM and IPW model showed that the in-hospital mortality in the ECPR+IABP group was significantly lower compared with the ECPR group ( HR = 0.44, 0.50, 0.16 and 0.49, respectively, 95% CI were 0.24-0.79, 0.28-0.91, 0.06-0.39 and 0.31-0.77, all P < 0.05). The combined application of IABP could improve the ECMO withdrawal success rate [odds ratio ( OR) = 8.95, 95% CI was 2.72-29.38, P < 0.001] and neurological prognosis ( OR = 4.06, 95% CI was 1.33-12.40, P = 0.014) in adult cardiac arrest patients. Conclusion:In patients with cardiac arrest using ECPR, the combination of IABP was independently associated with lower in-hospital mortality, higher ECMO withdrawal success rate and better neurological prognosis.
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Objective:To establish a nomogram prediction model for the prognosis of patients with septic cardiomyopathy (SCM) based on afterload-corrected cardiac performance (ACP), in order to identify septic patients with poor outcomes and treatment.Methods:The data of patients admitted to the department of critical medicine of the Second Affiliated Hospital of Guangzhou Medical University from June 2016 to June 2019 were analyzed. All patients were monitored by pulse indication continuous cardiac output (PiCCO) monitor more than 24 hours and diagnosed as SCM with ACP less than 80%. The predictors of 30-day death risk of SCM patients were screened by univariate Cox regression analysis. Multivariate Cox regression analysis was used to establish the prediction model for 30-day death risk of SCM patients, which was displayed by the nomogram. Finally, the discrimination and calibration of the model were analyzed by receiver operator characteristic curve (ROC curve) and consistency index (C-index).Results:A total of 102 patients with SCM were included and the 30-day mortality was 60.8% (62 cases). Among 102 patients with SCM, 57 patients (55.9%) had mild impairment of cardiac function (60%≤ACP < 80%), and the 30-day mortality was 43.9% (25/57); 39 patients (38.2%) had moderate impairment of cardiac function (40%≤ACP < 60%), and the 30-day mortality was 79.5% (31/39); 6 patients (5.9%) had severe impairment of cardiac function (ACP < 40%), and the 30-day mortality was 100% (6/6). There was significantly difference in mortality among the three groups (χ 2 = 24.156, P < 0.001). The potential risk factors for 30-day death of SCM patients screened by univariate Cox regression analysis were included in multivariate Cox regression analysis. The results showed that the independent risk factors for 30-day death of SCM patients were acute physiology and chronic health evaluation Ⅱ [APACHEⅡ, risk ratio ( HR) = 1.031, 95% confidence interval (95% CI) was 1.002-1.061, P = 0.039], vasoactive inotropic score (VIS, HR = 1.003, 95% CI was 1.001-1.005, P = 0.012), continuous renal replacement therapy (CRRT; HR = 2.106, 95% CI was 1.089-4.072, P = 0.027), and ACP ( HR = 0.952, 95% CI was 0.928-0.977, P < 0.001). The nomogram model was established based on the above independent risk factors and age, and the area under the curve (AUC) was 0.865 (95% CI was 0.795-0.935), P < 0.001; C-index was 0.797 (95% CI was 0.747-0.847), P > 0.05. Conclusions:The nomogram model based on age, APACHEⅡ score, VIS score, CRRT and ACP has a certain clinical reference significance for the prediction of 30-day mortality of SCM patients. The discrimination and calibration are good, however, further verification is needed.
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Objective:To investigate the relationship between 1-hour lactate (1 h Lac) and 30-day mortality in critical care patients in intensive care unit (ICU).Methods:A retrospective, observational cohort study was performed with adult critical patients (age ≥ 16 years old) having lactate records within 1 hour after ICU admission from Medical Information Mart for Intensive Care-Ⅲ database (MIMIC-Ⅲ). According to the 1 h Lac level, the patients were divided into three groups: < 2 mmol/L, 2-4 mmol/L, and > 4 mmol/L groups. The baseline characteristics were analyzed. Multivariable Logistic regression analysis was performed to assess the association between 1 h Lac and 30-day mortality. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of 1 h Lac for 30-day mortality, and Kaplan-Meier survival curve was performed according to the best cut-off value. In addition, sensitivity analysis was carried out for each classification variable.Results:A total of 3 969 ICU patients were included, with 673 died in 30 days, and the total mortality was 16.95%. There were 1 664, 1 588, 717 patients in Lac < 2 mmol/L, 2-4 mmol/L and > 4 mmol/L group, respectively. There were significant differences in age, ICU duration, ICU type, heart rate, leukocyte count, hemoglobin, creatinine, sequential organ failure score (SOFA), ventilator application, vasoactive drug use and main diagnosis among the three groups. Multivariable Logistic regression analysis showed that a 1 mmol/L increment in Lac was associated with 0.24 times higher risk of 30-day mortality [odds ratio ( OR) = 1.24, 95% confidence interval (95% CI) was 1.19-1.29, P < 0.000 1]. ROC curve analysis showed that the area under ROC curve (AUC) of 1 h Lac for predicting 30-day mortality of severe patients was 0.694 (95% CI was 0.669-0.718). The cut-off value was 3.35 mmol/L with sensitivity of 0.499 and specificity of 0.779, whilst positive likelihood ratio was 2.260, and negative likelihood ratio was 0.643. According to the cut-off value of 1 h Lac, the patients were divided into high lactate group (≥ 3.35 mmol/L) and low lactate group (< 3.35 mmol/L). In the two subgroups, 30-day mortality was 31.58% (336/1 064) and 11.60% (337/2 905), respectively. The Kaplan-Meier survival curve showed that the 30-day cumulative survival rate of high lactate group was significantly lower than that of low lactate group (Log-rank test: χ 2 = 247.72, P < 0.000 1). Multiple Logistic regression analysis showed that the 30-day mortality rate of high lactate group was 2.34 times that the level of low lactate group ( OR = 2.34, 95% CI was 1.90-2.88, P < 0.000 1), after the adjustment of age, time of admission, type of ICU, hemoglobin, leukocyte count, use of vasopressor, use of ventilator and main diagnosis of patients. Stratified analysis showed that the relationship between 1 h Lac and 30-day mortality was stable. Conclusions:1 h Lac is associated with 30-day mortality in critical care patients. The risk of death was significantly increased in critically ill patients with 1 h Lac higher than 3.35 mmol/L.
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Objective To investigate the effects of microRNA-29a (miR-29a) on lipopolysaccharide (LPS)-induced apoptosis in human monocytes THP-1 cells in order to understand the molecular mechanisms.Methods Human monocytes THP-1 cell line were exposed to LPS after transfected with miR-29a inhibitors (100 nmol/L) or just transfected with miR-29a mimic (100 nmol/L) by lipofectamine RNAiMAX.Flow cytometry (FCM) was used to detect the cell apoptosis.Real-time RT-PCR was employed to measure expressive levels of the gene Bcl-2 and Mcl-1.The luciferase assay was performed in HEK293T cells,which were co-transfected with plasmid DNA and miRNA by using Lipofectamine 2000.Statistical analysis carried out by using SPSS 13.0 software for One-way ANOVA and Student' s t test.Results Transfection with miR-29a mimics for 48 h increased apoptosis rate and significantly reduced the expressions of Bcl-2 and Mcl-1 in THP-1 cells in comparsion with the control group.The apoptosis rate also raised in THP-1 cell stimulated by LPS for 24 h followed by LPS stimulation for 24 h,the apoptosis rate was decreased in comparison with the LPS group.In addition,our luciferase assay data showed that HEK293T cells cotransfected with miR-29a mimics and Bcl-2 3 ' UTR-Wt or Mcl-1 3' UTR-Wt plasmid significantly reduced the luciferase activity compared with the control group.Conclusions The miR-29a may regulate apoptosis by targeting the genes Bcl-2 and Mcl-1,and miR-29a may play a pivotal role in the process of apoptosis in immune cells.