ObjectiveTo analyze the risk factors of myasthenia gravis crisis after thymectomy with myasthenia gravis (MG).MethodsSixty-five myasthenia gravis patients who had myasthenia crisis after thymectomy in Xuanwu Hospital, Capital Medical University from June 2006 to June 2019 were retrospectively enrolled, including 31 males and 34 females, aged 15-78 (45.7±17.8) years. The relationship between myasthenia crisis after thymectomy and surgical option, operation time, pathological type, et al. were anylyzed.ResultsOperation time and pathological type were the predictive factors of postoperative myasthenic crisis. The area under receiver operating characteristic curve (AUC) of MG type (Osserman) was 0.676, the cut-off value wasⅡB type, the sensitivity was 37.5%, the specificity was 90.5%, and the Youden’s index was 0.280. The AUC of thymoma stage (Masaoka) was 0.682, cut-off value was stageⅡ, sensitivity was 62.5%, specificity was 66.7%, and Youden’s index was 0.292. The AUC of blood loss was 0.658, the cut-off value was 90 mL, the sensitivity was 87.5%, the specificity was 69.6%, and the Youden’s index was 0.304.ConclusionPreoperative MG classification, pathological type, operation time and blood loss are the risk factors of postoperative myasthenic crisis. Therefore, adequate preoperative preparation, rapid and careful intraoperative operation and active postoperative management can reduce the occurrence of postoperative myasthenic crisis.
Since December 2019, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection has gradually spread all over the world. With the implementation of class B infectious disease management policy for coronavirus disease 2019 (COVID-19), China has experienced a pandemic. For patients receiving a time-sensitive or emergency surgery, SARS-CoV-2 infection may increase the risk of postoperative pulmonary complications. An appropriate perioperative mechanical ventilation strategy, such as lung protective ventilation strategy, is particularly important for preventing postoperative pulmonary complications in patients undergoing general anesthesia. In addition, how to protect medical personnel from being infected is also the focus we need to pay attention to. This article will discuss the perioperative mechanical ventilation strategy for COVID-19 patients and the protection of medical personnel, in order to provide reference for the development of guidelines.
ObjectiveProlonged mechanical ventilation (PMV) is a prognostic marker for short-term adverse outcomes in patients after lung transplantation.The risk of prolonged mechanical ventilation after lung transplantation is still not clear. The study to identify the risk factors of prolonged mechanical ventilation (PMV) after lung transplantation.Methods This retrospective observational study recruited patients who underwent lung transplantation in Wuxi People’s Hospital from January 2020 to December 2022. Relevant information was collected from patients and donors, including recipient data (gender, age, BMI, blood type, comorbidities), donor data (age, BMI, time of endotracheal intubation, oxygenation index, history of smoking, and any comorbidity with multidrug-resistant bacterial infections), and surgical data (surgical mode, incision type, operation time, cold ischemia time of the donor lung, intraoperative bleeding, and ECMO support), and postoperative data (multi-resistant bacterial lung infection, multi-resistant bacterial bloodstream infection, and mean arterial pressure on postoperative admission to the monitoring unit). Patients with a duration of mechanical ventilation ≤72 hours were allocated to the non-prolonged mechanical ventilation group, and patients with a duration of mechanical ventilation>72 hours were allocated to the prolonged mechanical ventilation group. LASSO regression analysis was applied to screen risk factors., and a clinical prediction model for the risk of prolonged mechanical ventilation after lung.ResultsPatients who met the inclusion criteria were divided into the training set and the validation set. There were 307 cases in the training set group and 138 cases in the validation set group. The basic characteristics of the training set and the validation set were compared. There were statistically significant differences in the recipient’s BMI, donor’s gender, CRKP of the donor lung swab, whether the recipient had pulmonary infection before the operation, the type of transplantation, the cold ischemia time of the donor lung, whether ECMO was used during the operation, the duration of ECMO assistance, CRKP of sputum, and the CRE index of the recipient's anal test (P<0.05). 2. The results of the multivariate logistic regression model showed that female recipients, preoperative mechanical ventilation in recipients, preoperative pulmonary infection in recipients, intraoperative application of ECMO, and the detection of multi-drug resistant Acinetobacter baumannii, multi-drug resistant Klebsiella pneumoniae and maltoclomonas aeruginosa in postoperative sputum were independent risk factors for prolonged mechanical ventilation after lung transplantation. The AUC of the clinical prediction model in the training set and the validation set was 0.838 and 0.828 respectively, suggesting that the prediction model has good discrimination. In the decision curves of the training set and the validation set, the threshold probabilities of the curves in the range of 0.05-0.98 and 0.02-0.85 were higher than the two extreme lines, indicating that the model has certain clinical validity.ConclusionsFemale patients, Preoperative pulmonary infection, preoperative mechanical ventilation,blood type B, blood type O, application of ECMO assistance, multi-resistant Acinetobacter baumannii infection, multi-resistant Klebsiella pneumoniae infection, and multi-resistant Stenotrophomonas maltophilia infection are independent risk factors for PMV (prolonged mechanical ventilation) after lung transplantation.
Objective To investigate the predictive value of mechanical power (MP) in the weaning outcome of adaptive mechanical ventilation plus intelligent trigger (AMV+IntelliCycle, simply called AMV) mode for acute respiratory distress syndrome (ARDS) patients. Methods From November 2019 to March 2021, patients with mild to moderate ARDS who were treated with invasive mechanical ventilation in the intensive care unit of the First Affiliated Hospital of Jinzhou Medical University were divided into successful weaning group and failed weaning group according to the outcome of weaning. All patients were treated with AMV mode during the trial. The MP, oral closure pressure (P0.1), respiratory rate (RR) and tidal volume (VT) of the two groups were compared 30 min and 2 h after spontaneous breathing trial (SBT). The correlation between 30 min and 2 h MP and shallow rapid respiratory index (RSBI) was analyzed by Pearson correlation. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of 30 min MP in ARDS patients with AMV mode weaning failure. Results Sixty-eight patients were included in the study, 49 of them were successfully removed and 19 of them failed. There was no statistical significance in age, gender, body mass index, oxygenation index, acute physiology and chronic health evaluation Ⅱ score, reasons for mechanical ventilation (respiratory failure, sepsis, intracranial lesions, and others) between the two groups (all P>0.05). The MP, P0.1 and RR at SBT 30 min and 2 h of the successful weaning group was lower than those of the failed weaning group (all P<0.05), but the VT of the successful weaning group was higher than the failed weaning group (all P<0.05). There was a significant relation between the MP at SBT 30 min and 2 h and RSBI (r value was 0.640 and 0.702 respectively, both P<0.05). The area under ROC curve of MP was 0.674, 95% confidence interval was 0.531 - 0.817, P value was 0.027, sensitivity was 71.73%, specificity was 91.49%, positive predictive value was 0.789, negative predictive value was 0.878, optimal cutoff value was 16.500. The results showed that 30 min MP had a good predictive value for the failure of weaning in AMV mode in ARDS patients. Conclusion MP can be used as an accurate index to predict the outcome of weaning in ARDS patients with AMV mode.
ObjectiveTo investigate the correlation between compliance of clinical respiratory bundle and duration of mechanical ventilation. MethodsThe data of patients who admitted to intensive care unit (ICU)of Cancer Hospital Chinese Academy of Medical Sciences between June 2013 and December 2014 were retrospectively reviewed and analyzed.The patients with respiratory insufficiency who ventilated more than 48 hours were included into the study. ResultsFifty-five patients were enrolled into the final analysis.There were 43 males and 12 females with a mean age of 63.47±12.49 years.The mean sequential organ failure assessment (SOFA)score was 2.8±2.2,and the mean simplified acute physiology score 3 (SAPS3)was 51±14 on ICU admission.The mean duration of mechanical ventilation of all 55 patients was 7.3±5.5 days.The compliance of low tidal volume strategy was 23.6%(13/55).No significant difference was found on duration of mechanical ventilation between the patients who was compliant with low tidal volume strategy and the patients who was not compliant (7.31±7.02 days vs. 7.31±5.07 day,P=0.444).A negative correlation between compliance of protocolized sedation strategy and duration of mechanical ventilation was found by Bivariate spearman correlation analysis (r2=0.312,P<0.001).A negative correlation between compliance of spontaneous awakening trial strategy and duration of mechanical ventilation (r2=0.337,P<0.001)and a negative correlation between compliance of spontaneous breathing trial strategy and duration of mechanical ventilation (r2=0.280,P<0.001)were also found by Bivariate spearman correlation analysis.Multiple linear regression analysis showed that only spontaneous awakening trial strategy was correlated with duration of mechanical ventilation(B=-0.623,P<0.001). ConclusionThe more compliance with clinical respiratory bundle,especially with spontaneous awakening trial strategy,the shorter of duration of mechanical ventilation.The effect of low tidal volume strategy on the duration of mechanical ventilation needs further studies.
Objective To investigate the thirst status of patients in intensive care unit (ICU) who underwent oral tracheal intubation and ventilator assisted ventilation, and explore its influence factors. Methods A total of 172 patients with oral tracheal intubation admitted in ICU from June 2020 to September 2021 were investigated, and a numerical rating scale was employed for rating their thirst feelings. The patients were divided into a thirst group and a non-thirst group based on thirst status. The thirst status and influence factors of thirst distress were analyzed. Results The incidence of thirst in the ICU patients with oral tracheal intubation and ventilator assisted ventilation was 88.4%, and the thirst score in the thirst group was 7.70±1.17. Single factor analysis showed statistically significant difference between the two groups in sex, medical payment, smoking, drinking, duration of mechanical ventilation, humidification effect, sputum viscosity, gastrointestinal decompression, fasting, continuous renal replacement therapy, diuretics, 24-hour urine volume and liquid balance, heart function grading, sedatives, agitation, sweating, acute physiology and chronic health evaluation Ⅱ, endotracheal intubation depth, body mass index, PCO2, PO2, HCO3–, tidal volume, and sodium ion (all P<0.05). Multivariable regression analysis demonstrated that diuretics, sputum viscosity, sodium ion, alcohol consumption, smoking, intubation depth, and cardiac function were independent influence factors for the occurrence of thirst in the ICU patients who received tracheal intubation (P<0.01). Conclusions The incidence of thirst was high in ICU patients with airway intubation and ventilator assisted ventilation. Diuretics, sputum viscosity, sodium ion, alcohol consumption, smoking, 24-hour urine volume, and cardiac function grading were independent influence factors for the occurrence of thirst in ICU patients with tracheal intubation. It is necessary to implement targeted intervention to prevent and alleviate the thirst degree of patients, reduce the occurrence of related complications, and improve patient comfort.
Objective To explore the predictive value of transthoracic electrical impedance tomography (EIT) for outcome of weaning patients from mechanical ventilation. Methods Forty invasive mechanical ventilation adult patients who underwent spontaneous breathing test (SBT) from May 2022 to August 2022 were enrolled. The patients were divided into a successful weaning group (n=28) and a failed weaning group (n=12) based on whether invasive mechanical ventilation was required within 48 hours after weaning. EIT data were collected from both groups on the first day of mechanical ventilation, before SBT, 10 minutes after SBT, and 30 minutes after SBT. The EIT parameters were compared between two groups, including the absolute value of mean end expiratory lung impedance variation (Mean △EELI) to tidal volume ratio, percentage variation of local compliance change (|Δ(CW-CL)|), inflation time difference (TSA), standard deviation of regional ventilation delay (SDRVD), abdominal to back impedance ratio (IR), and rapid shallow breathing index (RSBI) calculated by EIT, at different time points of SBT, and the predictive value of each EIT parameter were evaluated for weaning. Results The parameters of SDRVD value, RSBIEIT value, and TSA value in the successful weaning group were significantly lower compared with the failed weaning group (P<0.05); during SBT process, the predictive value of the SDRVD for weaning was the highest compared with other EIT parameters (AUC=0.978, 95%CI 0.940-1.016; P<0.001). When the SDRVD value, less than 0.845, was as the critical value and the sensitivity was 0.917 and the specificity was 0.929; the RSBIEIT value for prediction weaning also was high (AUC=0.960, 95%CI 0.904-1.015; P<0.001). When RSBIEIT, less than 0.893, was used as the critical value, and its sensitivity and specificity was 1.000 and 0.893, respectively (P<0.05). The TSA value and |Δ(CW-CL)| predicted weaning value are relatively small, and further research is needed on whether IR and |Mean ?EELI/VT| can guide weaning. Conclusions The EIT parameters SDRVD and RSBIEIT can effectively predict the weaning outcomes of mechanically ventilated adult patients and have good clinical application value.
Objective To evaluate the efficacy of lung-protective strategies of ventilation (LPSV) in acute respiratory distress syndrome (ARDS) patients after thoracic operation. Methods-Thirtyseven ARDS patients without preoperative complications who had underwent thoracic surgery successfully were divided into the conventional mechanical ventilation group (CMV group, n=20) and lungprotective strategies of ventilation group (LPSV group，n=17). Results of arterial blood gas, index of oxygenation (PaO2/FiO2), airway plateau pressure (Pplat), inspiration peak pressure (PIP), PEEP, after ventilation treatment 24 h and mechanical ventilation time， pulmonary barotrauma and so on were observed. Results The mechanical ventilation time， pulmonary barotrauma and mortality of the LPSV group were 7.3d, 5.9％ and 29.4％ respectively, which were significantly better than those in the CMV group(17.6d，15.0％ and 60.0％, Plt;0.05). peak inflation pressure (PIP)，Pplat(plat pressure) in the LPSV group were significantly lower than those in the CMV group (Plt;0.05). However, there were no significant differences including arterial oxygen saturation (SaO2),pH, partial pressure of carbon dioxide in artery (PaCO2) and PaO2/FiO2 in two groups. Conclusion LPSV is more effective for the patients in the ARDS patients after thoracic operation compared to CMV, which can markedly reduce the ventilatorinduced lung injuryand (VILI) and mortality.
Mechanical ventilation is an importmant life-sustaining treatment for patients with acute respiratory distress syndrome. Its clinical outcomes depend on patients’ characteristics of lung recruitment. Estimation of lung recruitment characteristics is valuable for the determination of ventilatory maneurvers and ventilator parameters. There is no easily-used, bedside method to assess lung recruitment characteristics. The present paper proposed a method to estimate lung recruitment characteristics from the static pressure-volume curve of lungs. The method was evaluated by comparing with published experimental data. Results of lung recruitment derived from the presented method were in high agreement with the published data, suggesting that the proposed method is capable to estimate lung recruitment characteristics. Since some advanced ventilators are capable to measure the static pressure-volume curve automatedly, the presented method is potential to be used at bedside, and it is helpful for clinicians to individualize ventilatory manuevers and the correpsonding ventilator parameters.
It is difficult to select the appropriate ventilation mode in clinical mechanical ventilation. This paper presents a nonlinear multi-compartment lung model to solve the difficulty. The purpose is to optimize respiratory airflow patterns and get the minimum of the work of inspiratory phrase and lung volume acceleration, minimum of the elastic potential energy and rapidity of airflow rate changes of expiratory phrase. Sigmoidal function is used to smooth the respiratory function of nonlinear equations. The equations are established to solve nonlinear boundary conditions BVP, and finally the problem was solved with gradient descent method. Experimental results showed that lung volume and the rate of airflow after optimization had good sensitivity and convergence speed. The results provide a theoretical basis for the development of multivariable controller monitoring critically ill mechanically ventilated patients.