1.Effects of different anesthesia methods on inflammatory cytokines in elderly patients during peroperative period
Changwei WEI ; Xiuzhen LIU ; Zhuoqiang WANG ; Hongyue WANG ; Jian CHEN ; Yanhu GE ; Jun WANG
Clinical Medicine of China 2012;28(9):907-910
Objective To explore the two different anesthesia methods on hemodynamics and inflammatory cytokines in elderly patients during peroperative period.MethodsFifty elderly patients with Knee Replacement( ASA Ⅰ,Ⅱ )were randomly divided into general anesthesia group( group A,n =25 ) and combined general and epidural anesthesia group( group B,n =25 ).The changes of mean arterial pressure(MAP) and heart rate ( HR ) were monitored before induction of anesthesia ( T1 ),at intubation ( T2 ),during skin incision ( T3 ) and at the time of extubation ( T4 ),at 30 min after extubation ( T5 ).Blood samples were taken from artery for determination of plasma TNF-α,IL-6,IL-10 concentrations before tourniquet inflation ( T5 ),10 min after tourniquet deflation(T6),30 min after tourniquet deflation (T7)and 30 min after operation (T8)by enzymelinked immunosorbent assay(ELISA).ResultsThe MAP and HR of patients in two groups at T2,T3,T4 were all increased when compared with T1 [ group A:HR:( 94.3 ± 10.4 ) bpm,( 96.4 ± 12.7 ) bpm,(93.3 ± 11.1 )bpm vs(62.6 ±7.3)bpm;MAP:( 18.8 ±3.4)kPa,( 19.6 ±3.4)kPa,( 17.8 ±2.0)kPa vs ( 14.5 ± 1.5)kPa,P<0.05;group B:HR(76.2 ±6.5)bpm,(70.1 ± 9.7) bpm,(71.5 ± 8.3) bpm vs(64.6 ± 8.4) bpm;MAP:( 16.3 ± 2.5 ) kPa,( 15.3 ± 1.2) kPa,( 14.8 ± 1.4) kPa vs ( 14.1 ± 1.3 ) kPa,P < 0.05 ].There was significant difference on MAP and H R between group A and group B( F =11.957,9.745;P < 0.05 ).The level of plasma TNF-α,IL-6 and IL-10 were significantly increased at T6 to T8 compared with T5 in both groups[ groupA:TNF-α:(4.36 ±0.18) ng/L,(7.54 ± 1.23) ng/L,(10.35 ±2.21 )ng/L vs (2.26 ±0.16) ng/L; groupA:IL-6:(4.32 ±0.21 ) ng/L,( 8.35 ± 1.26 ) ng/L,( 10.23 ± 2.23 ) ng/L vs ( 1.36 ± 0.08 ) ng/L; groupA:IL-10:(5.32±1.10) ng/L,(7.56 ± 1.36) ng/L,(8.63 ± 2.21) ng/L vs (1.25 ± 0.03) ng/L; groupB:TNF-α:(3.43 ±0.06)ng/L,(5.24 ±2.10) ng/L,(7.68 ± 1.43) ng/L vs(2.22 ±0.15) ng/L;groupB:IL-6:(3.41 ±0.08 ) ng/L,(5.34 ± 1.34 ) ng/L,( 8.54 ± 2.03 ) ng/L vs ( 1.28 ± 0.04 ) ng/L; groupB:IL-10:( 7.28 ± 1.22 )ng/L,( 10.53 ± 2.14)ng/L,( 12.45 ± 2.03 )ng/L vs( 1.31 ± 0.04)ng/L,P < 0.05 ].And there was significant difference on TNF-α,IL-6 and IL-10 between group A and group B( F =7.889,3.554,5.443,respectively,P <0.05).ConclusionCompared with general anesthesia group,combined general and epidural anesthesia group can ensure hemodynamic stability of elderly patients during peroperative period very well and can reduce the releasing of inflammatory cytokins,it is a viable and an ideal method.
2.Clinical research on ulinastatin on respiratory dynamics improvement in patients with myasthenia gravis
Xiuzhen LIU ; Changwei WEI ; Zhuoqiang WANG ; Yanhu GE ; Jun WANG ; Jie DING ; Jian CHEN ; Yan ZHANG
Clinical Medicine of China 2012;28(9):903-906
ObjectiveTo observe the changes of the respiratory dynamics during expand thymectomy,and to explore the protection of ulinastatin on pulmonary function.MethodsSixty patients with myasthenia gravis( Ossermann Ⅰ,Ⅱ b)undergoing expand thymectomy were randomly divided into control group( group C,n =30)and ulinastatin group( group U,n =30).Patients in ulinastatin group received intravenous injection of ulinastatin 4000 U/kg in 20 ml physiological saline immediately after entering operating room and pumped ulinastatin 2000 U/( kg · h)to the end of the operation continuously.Patients in control group received the same volume of normal saline.Heart rate ( HR ),mean arterial pressure ( MAP ),lung compliance,airway peak pressure,plateau airway pressure,inspiratory and expiratory resistance were monitored before induction of anesthesia( T1 ),during skin incision ( T2),at 30 min after operation ( T3 ) and at 60 min after operation (T4),at the end of operation before extubation(T5).ResultsCompared with T1,HR and MAP at T2 in two groups were increased obviously [ group U HR:( 90.2 ± 13.5 ) bpm vs ( 78.6 ± 10.4 ) bpm,MAP:( 15.5 ± 2.3 ) kPa vs ( 12.1 ± 1.5)kPa;group C HR:(94.3 ± 15.4)bpm vs(81.6 ± 12.2)bpm,MAP:( 16.8 ± 2.6) kPa vs( 12.6 ±1.8)kPa,P < 0.05 )].There was no significant difference on HR,MAP at each time between the two groups (P >0.05).At T3,T4,T5,the lung compliance was significantly decreased when compared with T1 [ group U:T3,T4,TS(51.23 ± 12.33) ml/cm H2O,(50.35 ± 13.29) ml/cm H2O and(50.65 ± 13.16) ml/cm H2O vs T1 (53.69 ± 14.34) ml/cm H2O;group C:T3,T4,T5(41.56 ± 11.20)ml/cm H2O,(42.02 ± 10.12) ml/cm H2O and(39.85 ± 10.31 ) ml/cm H2O vs T1 ( 53.45 ± 15.21 ) ml/cm H2O; P < 0.05 ) ].Airway peak pressure,plateau airway pressure,inspiratory and expiratory resistance at T3,T4,T5 were obviously increased compared with T1 in two groups [ airway peak pressure:group U:( 13.04 ± 2.14 ) cm H2O,( 13.12 ± 2.42 ) cm H2O,(13.22±2.48)cm H2O,vs(12.04 ±2.12)cm H2O;group C:(16.25 ±3.27)cm H2O,(15.56 ±4.34)cm H2 O,( 16.64 ± 3.45 ) cm H2O,vs ( 13.12 ± 2.32 ) cm H2O; plateau airway pressure:group U:( 10.54 ±2.46) cm H2O,( 11.76 ± 3.11 ) cm H2O,( 12.02 ± 3.25 ) cm H2 O,vs ( 9.48 ± 2.13 ) cm H2O; group C:(15.02 ±3.87)cm H2O,( 15.51 ± 3.13) cm H2O,( 15.67 ± 3.02) cm H2O,vs (9.25 ± 1.26) cm H2O;inspiratory resistance:group U:( 8.56 ± 2.52 ) cm H2O,( 9.31 ± 3.06 ) cm H2O,( 8.44 ± 2.45 ) cm H2O,vs (8.25 ±2.20)cm H2O;group C:(11.52 ±3.06)cm H2O,(12.16 ±3.02)cm H2O,(12.83 ±3.14)vs ( 8.31 ± 2.24 ) cm H2O ; expiratory resistance:group U:( 10.22 ± 2.24 ) cm H2O,( 10.34 ± 2.66 ) cm H2O,(10.27 ± 2.22) cm H2O,vs(8.46 ± 2.37) cm H2O; group C:(14.43 ±3.18)cm H2O,(14.56 ±3.32)cm H2O,( 14.46 ± 3.52 ) cm H2O,vs ( 8.55 ± 2.18 ) cm H2O; P < 0.05 ) ].The increased degree of lung compliance and the decreased degree of airway peak pressure,plateau airway pressure,inspiratory and expiratory resistance at the time of T3,T4,T5 and T1 in ulinastatin group were all significantly higher than those in control group(F=6.167,3.138,4.137,5.217,4.361,respectively,P <0.05).ConclusionUlinastatin can improve respiratory dynamics,reduce lung injury,and play a protective role in patients with myasthenia gravis.
3.Predictive value of leukocyte derived markers for postoperative delirium after cardiac valve surgery
Xintian ZHANG ; Yanhu GE ; Dongni ZHANG ; Jun MA
Chinese Critical Care Medicine 2024;36(7):728-733
Objective:To explore the predictive value of leukocyte derived markers for postoperative delirium (POD) in patients undergoing cardiac valve surgery.Methods:A prospective cohort study was conducted. The patients who underwent cardiac valve surgery admitted to Beijing Anzhen Hospital of Capital Medical University from October 2021 to March 2023 were enrolled. The demographic, baseline and perioperative data were collected, and the neutrophil to lymphocyte ratio (NLR) and platelet to white blood cell ratio (PWR) were calculated before operation and within 24 hours after operation. Delirium assessment was conducted twice a day for patients within 1-5 days after surgery or discharged within 5 days. According to the evaluation results, the patients were divided into delirium group and non-delirium group. The clinical indexes between the two groups were compared. Multivariate Logistic regression analysis was used to screen the independent risk factors of POD, and the POD predictive model was constructed. The predictive value of POD predictive model was evaluated by receiver operator characteristic curve (ROC curve).Results:A total of 235 patients were enrolled in the analysis, of which 83 patients had POD (35.32%) and 152 patients did not have POD (64.68%). Compared with the non-delirious group, the patients in the delirious group had higher Charlson comorbidity index (CCI) score and lower mini-mental state examination (MMSE) score. In terms of perioperative data, compared with the non-delirium group, the patients in the delirium group had longer operative time, duration of cardiopulmonary bypass, length of intensive care unit (ICU) stay, duration of mechanical ventilation, and postoperative hospital stay, higher incidence of perioperative atrial fibrillation, and lower discharge life score. In terms of leukocyte derived markers, NLR within 24 hours after surgery in both groups were significantly higher than those before surgery, and PWR were significantly lower than those before surgery. The NLR within 24 hours after surgery, PWR difference and NLR difference in the delirium group were significantly higher than those in the non-delirium group. Multivariate Logistic regression analysis showed that CCI score [odds ratio ( OR) = 1.394, 95% confidence interval (95% CI) was 1.038-1.872, P = 0.027], perioperative atrial fibrillation ( OR = 3.697, 95% CI was 1.711-7.990, P < 0.001), duration of cardiopulmonary bypass ( OR = 1.008, 95% CI was 1.002-1.015, P = 0.016), length of ICU stay ( OR = 1.006, 95% CI was 1.002-1.010, P = 0.002), NLR difference ( OR = 1.029, 95% CI was 1.009-1.050, P = 0.005) and PWR difference ( OR = 1.044, 95% CI was 1.009-1.080, P = 0.013) were independently correlated with POD. POD predictive model was constructed by multivariate Logistic regression analysis result: POD predictive model index = -4.970+0.336×CCI score+1.317×perioperative atrial fibrillation+0.009×duration of cardiopulmonary bypass+0.006×length of ICU stay+0.030×NLR difference+0.044×PWR difference. ROC curve analysis showed that the area under the ROC curve (AUC) of NLR difference for predicting POD was 0.659 (95% CI was 0.583-0.735), the optimal critical value was 16.62, the sensitivity was 60.2%, and the specificity was 70.4% ( P < 0.05). The AUC of PWR difference for predicting POD was 0.608 (95% CI was 0.528-0.688), the optimal critical value was 25.68, the sensitivity was 51.8%, and the specificity was 75.7% ( P < 0.05). The AUC of POD predictive model for predicting POD was 0.805 (95% CI was 0.745-0.865), the optimal critical value was 0.39, the sensitivity was 74.7%, and the specificity was 79.6% ( P < 0.05). Conclusion:The differences of NLR and PWR are independently related to POD, which has potential value in predicting POD after cardiac valve surgery.