Tracheotomy is a commonly used measure in clinical rescue of critically ill patients, and it has an important impact on the survival outcome of patients. The time of extubation directly affects the recovery process of the patient. This article reviews the research progress of extubation management of tracheotomy patients at home and abroad, and mainly summarizes and elaborates from four aspects, including the role of the multidisciplinary team in tracheostomy management, where tracheostomy patients are extubated, conditions for extubation in tracheotomy patients, and wound care after extubation in tracheotomy patients. The purpose is to provide a reference for the selection of extubation timing and extubation management for patients with tracheotomy, to improve the success rate of extubation and improve the quality of life of patients.
ObjectiveTo explore the predictive factors for extubation in mechanically ventilated patients with moderate to severe traumatic brain injury (TBI). MethodsMechanically ventilated adult patients with moderate to severe brain injuries admitted to the People’s Hospital of Hunan province were selected between April 2020 and March 2022. The general data, neurological function and airway protective ability of the patients were collected. The patients were divided into successful extubation and failed extubation groups based on extubation outcomes. The differences in various indicators between the two groups were compared. Univariate and multivariate logistic regression analyses were conducted to determine the influencing factors for tracheal tube extubation in patients with moderate to severe TBI. Receiver operating characteristic (ROC) curves were plotted to analyze the predictive value of each indicator for extubation in TBI patients. ResultsA total of 263 patients with moderate to severe TBI were included in the analysis, with 183 patients in the successful extubation group and 80 patients in the failed extubation group. The successful extubation group had higher Glasgow coma scale (GCS) and cough peak flow (CPF) compared to the failed extubation group. The incidence of ventilator-associated pneumonia (VAP), duration of mechanical ventilation, length of ICU stay, and length of hospital stay were all lower in the successful extubation group. Univariate and multivariate logistic regression analyses showed that the predictive factors for tracheal tube extubation in patients with moderate to severe TBI were CPF and GCS at the time of extubation. Adjusting for confounding factors, every 1 L/min increase in CPF at the time of extubation reduced the risk of extubation failure by 2% [odds ratio (OR) = 0.98, 95% confidence interval (CI) 0.97 - 0.99], and every 1-point increase in GCS reduced the risk of extubation failure by 12% (OR = 0.88, 95%CI 0.79 - 0.98). ROC curve analysis showed that CPF, GCS, GCS eye, and GCS motor had predictive value for tracheal tube extubation in patients with moderate to severe TBI. When patients simultaneously met the criteria of GCS≥8 (GCS motor≥5, GCS eye≥3) and CPF ≥68.5 L/min, the diagnostic value for predicting successful extubation was highest, with an area under the ROC curve of 0.946 (95%CI 0.917 - 0.975), sensitivity of 0.850, and specificity of 0.907. ConclusionCPF ≥ 68.5 L/min and GCS ≥ 8 have clinical guiding value for successful extubation in mechanically ventilated patients with moderate to severe traumatic brain injury.
ObjectiveTo investigate the application value of noninvasive ventilation (NIV) performed in patients with unplanned extubation (UE) in intensive care unit (ICU).MethodsThis was a retrospective analysis. The clinical data, application of NIV, reintubation rate and prognosis of UE patients in the ICU of this hospital from January 2014 to December 2018 were reviewed, and the patients were assigned to the control group or the NIV group according to the application of NIV after UE. The data between the two groups were compared and the application effects of NIV in UE patients were evaluated.ResultsA total of 66 UE patients were enrolled in this study, including 44 males and 22 females and with an average age of (64.2±16.1) years. Out of them, 41 patients (62.1%) used nasal catheter or mask for oxygenation as the control group, 25 patients (37.9%) used NIV as the NIV group. The Acute Physiology andChronic Health EvaluationⅡ score of the control group and the NIV group were (18.6±7.7) vs. (14.8±6.3), P=0.043. The causes of respiratory failure in the control group and the NIV group were as follows: pneumonia 16 patients (39.0%) vs. 7 patients (28.0%), postoperative respiratory failure 7 patients (17.1%) vs. 8 patients (32.0%), chronic obstructive pulmonary disease 8 patients (19.5%) vs. 6 patients (24.0%), others 5 patients (12.2%) vs. 4 patients (16.0%), heart failure 3 patients (7.3%) vs. 0 patients (0%), nervous system diseases 2 (4.9%) vs. 0 patients (0%), which showed no significant difference between the two groups. Mechanical ventilation time before UE were (12.5±19.8) vs (12.7±15.2) d (P=0.966), PaO2 of the control group and the NIV group before UE was (114.9±37.4) vs. (114.4±46.3)mm Hg (P=0.964), and oxygenation index was (267.1±82.0) vs. (257.4±80.0)mm Hg (P=0.614). Reintubation rate was 65.9% in the control group and 24.0% in the NIV group (P=0.001). The duration of mechanical ventilation was (23.9±26.0) vs. (21.8±26.0)d (P=0.754), the length of stay in ICU was (34.4±36.6) vs. (28.5±25.8)d (P=0.48). The total mortality rate in this study was 19.7%. The mortality rate in the control group and NIV group were 22.0% and 16.0% (P=0.555).ConclusionPatients with UE in ICU may consider using NIV to avoid reintubation.
ObjectiveTo investigate the effect of timing of removal of drainage tube on complications after radical thyroidectomy by da Vinci robot.MethodsThree hundred and fifteen patients with thyroid cancer treated by da Vinci robot from July 2014 to December 2018 in our department were reviewed. The patients were divided into two groups according to the amount of drainage fluid at extubation: observation group (99 cases) and control group (216 cases). The extubation indication: in the observation group, the drainage volume was less than 20 mL for 24 hours in two days; in the control group, according to most clinical concepts, the drainage volume was less than 10 mL for 24 hours in two days. The infection rate of wound and tunnel, the incidence of hematoma, wound healing, the time of drainage tube removal and the time of hospitalization were observed.ResultsThere were no significant difference in infection rate, hematoma incidence and wound healing rate between the observation group and the control group (P>0.05). The postoperative extubation time and hospitalization time in the observation group was significantly shorter than that in the control group (P<0.05).ConclusionsAfter the radical operation of thyroid cancer by Leonardo da Vinci robot, taking the amount of wound drainage fluid less than 20 mL/24 hours for 2 days as the time of extubation does not increase the incidence of complications, but it can significantly shorten the time of extubation and hospitalization of patients, which can be widely used in clinical practice.
Objective To explore the correlations between the time of tracheal extubation and the intraoperative basic factors of ex vivo liver resection followed by autotransplantation in patients with advanced hepatic alveolar echinococcosis (HAE), and analyze the change trend of blood gas analysis during operation. Methods The data of 24 patients with advanced HAE who underwent ex vivo liver resection followed by autotransplantation in West China Hospital of Sichuan University between February 2014 and August 2017 were retrospectively analyzed. Results There were significant correlations between the extubation time and the duration of anesthesia (r=0.472, P=0.031), the amount of bleeding (r=0.524, P=0.015), the amount of erythrocyte suspensions infusion (r=0.627, P=0.002), and the amount of plasma infusion (r=0.617, P=0.003). There was no statistical difference in extubation time between patients with and without pulmonary complications in 3 months postoperatively [(23.74±15.84), (15.52±19.40) h, P=0.327]. Compared with those arterial blood gas results before the interruption, the pH value, blood glucose, lactic acid and base excess were statistically significantly different (P<0.05) at each time point after the interruption. Blood potassium increased at the end of operation compared with that before interruption (P<0.05); and the free calcium after blocking and opening increased with a temporary decrease (P<0.05); the hemoglobin decreased significantly after interruption and clamping (P<0.05). Conclusions Anesthesia length and bleeding should be reduced in ex vivo liver resection followed by autotransplantation, thus the extubation time would be shortened and the prognosis of the patients might be improved. Because of the longer anhepatic phase, the blood gas analysis varies largely. During operation, blood gas analysis and monitoring should be strengthened, and the acid-base balance and electrolytes should be maintained in time.
ObjectiveTo retrospectively analyze the causes and risk factors of unplanned extubation (UE) in cancer patients during peripherally inserted central catheter (PICC) retention, so as to provide references for effectively predicting the occurrence of UE. Methods27 998 cancer patients who underwent PICC insertion, maintenance and removal in the vascular access nursing center of our hospital from January 2016 to June 2023 were retrospectively analyzed. General information, catheterization information, and maintenance information were collected. The Chi-squared test was used for univariate analysis, multivariate analysis was used by binary unconditional logistic regression. They were randomly divided into modeling group and internal validation group according to the ratio of 7∶3. The related nomogram prediction model and internal validation were established. ResultsThe incidence of UE during PICC retention in tumor patients was 2.80% (784/27 998 cases). Univariate analysis showed that age, gender, diagnosis, catheter retention time, catheter slipping, catheter related infection, catheter related thrombosis, secondary catheter misplacement, dermatitis, and catheter blockage had an impact on UE (P<0.05). Age, diagnosis, catheter retention time, catheter slipping, catheter related infection, catheter related thrombosis, secondary catheter misplacement, and catheter blockage are independent risk factors for UE (P<0.05). Based on the above 8 independent risk factors, a nomogram model was established to predict the risk of UE during PICC retention in tumor patients. The ROC area under the predicted nomogram was 0.90 (95%CI 0.89 to 0.92) in the modeling group, and the calibration curve showed good predictive consistency. Internal validation showed that the area under the ROC curve of the prediction model was 0.91 (95%CI 0.89 to 0.94), and the trend of the prediction curve was close to the standard curve. ConclusionPatients aged ≥60 years, non chest tumor patients, catheter retention time (≤6 months), catheter slipping, catheter related infections, catheter related thrombosis, secondary catheter misplacement, and catheter blockage increase the risk of UE. The nomogram model established in this study has good predictive ability and discrimination, which is beneficial for clinical screening of patients with different degrees of risk, in order to timely implement targeted prevention and effective treatment measures, and ultimately reduce the occurrence of UE.
ObjectiveTo establish a reasonable risk evaluation tool in order to guide the clinical prevention of accidental extubation. MethodsWe collected all the tube types in our hospital, and according to the extubation consequence severity and risks, we designed the extubation risk factor items and formed the professional tables for scoring. Sixteen medical experts and 16 nursing experts were chosen to determine the scores for two rounds following the "Delphi" method. Five patients that had extubation accidentally were selected for evaluation, and 56 clinical cases provided feedbacks after evaluation. Then, the risk was set into 3 ranks:light (≤ 8 points), medium (9-12 points) and high (≥ 13 points). Finally, literature review and collection of the prevention measures were carried out, and the final "Accidental Extubation Risk Evaluation Table" was completed. ResultsAltogether, 283 patients were evaluated using the table in 23 departments of the hospital, among whom 121 were at mild risk, 76 were at medium risk and 86 were at high risk. Measures were taken accordingly, and no accidental extubation occurred. ConclusionThe evaluation table is reasonable, with which accidental extubation risk evaluation is standardized, and the safety of catheter nursing is enhanced.
Objective To investigate the clinical characteristics, risk factors and perioperative outcome of prolonged mechanical ventilation (PMV) in elderly patients undergoing coronary artery bypass grafting (CABG). Methods The data of elderly patients receiving CABG in the Nanjing First Hospital from January 2013 to June 2019 were collected. All patients were divided into a control group and a PMV group according to whether ventilation time≥24 h.The clinical characteristics and risk factors of PMV were compared between the two groups. Variables were 1∶1 balanced through propensity score matching (PSM) and perioperative outcomes of two groups was analyzed. Results Finally 956 patients were collected, including 187 in the PMV group and 769 in the control group. There were 586 males and 370 females aged 70-94 (74.3±3.5) years. Compared with the control group, the PMV group had higher rates of smoking, preoperative renal impairment, intraoperative blood transfusion and intra-aortic balloon pump (IABP) implantation, worse cardiac function, lower glomerular filtration rate and ejection fraction, larger left atrial diameter, longer cardiopulmonary bypass time and aortic cross-clamping time (P<0.05). There was no statistical difference in other clinical data between the two groups (P>0.05). Binary multivariate logistic regression analysis showed that females, smoking, chronic obstructive pulmonary disease, left ventricular ejection fraction≤56.0%, cardiopulmonary bypass time>106.0 min, IABP implantation and intraoperative blood transfusion were independent risk factors for PMV in elderly patients. After PSM, there were 146 patients in the control group and the PMV group, respectively. The PMV group had longer ICU stay and length of hospital stay and more drainage volume compared with the control group (all P<0.05). There was no statistical difference in perioperative mortality or other complications between the two groups (all P>0.05). ConclusionThere are a lot of factors associated with PMV of the elderly patients undergoing on-pump CABG. In order to establish a complete and formal PMV prediction model, clinicians can make a further step of assessment according to perioperative elements, and improve the prognosis of such patients.
Objective To evaluate and summarize the relevant evidence of oxygenation strategies with tracheal intubation after extubation for adult in intensive care unit (ICU), and to provide evidence-based practice for the development of scientific and effective strategies tracheal intubation after extubation for ICU adult patients. Methods Evidence-based databases, related guideline websites, association websites and original databases were searched by computer for literature about oxygenation strategies with tracheal intubation after extubation for ICU adults patients was extracted. The retrieval time was from the establishment of the databases to May 2023. Two researchers trained in evidence-based practice evaluated the quality of the included literature and extracted evidence from the literature that met the quality evaluation criteria. Results A total of 18 articles were included, including 7 guidelines, 4 clinical decisions, 2 expert consensus, 4 systematic reviews and 1 randomized controlled trial. A total of 22 pieces of best evidence were formed, including 7 aspects of basic principles, evaluation, selection, parameter setting, withdrawal, effect evaluation and precautions. ConclusionThe medical staff should select the best evidence based on the actual clinical situation and the patient’s own needs, and adjust the oxygenation strategies to reduce the rate of tracheal intubation and improve the prognosis of patients.
ObjectiveTo systematically evaluate the efficacy of high-flow nasal cannula oxygen therapy (HFNC) in post-extubation intensive care unit (ICU) patients.MethodsThe PubMed, Embase, Cochrane Library, CNKI, WanFang, VIP Databases were searched for all published available randomized controlled trials (RCTs) or cohort studies about HFNC therapy in post-extubation ICU patients. The control group was treated with conventional oxygen therapy (COT) or non-invasive positive pressure ventilation (NIPPV), while the experimental group was treated with HFNC. Two reviewers separately searched the articles, evaluated the quality of the literatures, extracted data according to the inclusion and exclusion criteria. RevMan5.3 was used for meta-analysis. The main outcome measurements included reintubation rate and length of ICU stay. The secondary outcomes included ICU mortality and hospital acquired pneumonia (HAP) rate.ResultsA total of 20 articles were enrolled. There were 3 583 patients enrolled, with 1 727 patients in HFNC group, and 1 856 patients in control group (841 patients with COT, and 1 015 with NIPPV). Meta-analysis showed that HFNC had a significant advantage over COT in reducing the reintubation rate of patients with postextubation (P<0.000 01), but there was no significant difference as compared with that of NIPPV (P=0.21). It was shown by pooled analysis of two subgroups that compared with COT/NIPPV, HFNC had a significant advantage in reducing reintubation rate in patients of postextubation (P<0.000 01). There was no significant difference in ICU mortality between HFNC and COT (P=0.38) or NIPPV (P=0.36). There was no significant difference in length of ICU stay between HFNC and COT (P=0.30), but there had a significant advantage in length of ICU stay between HFNC and NIPPV (P<0.000 01). It was shown by pooled analysis of two subgroups that compared with COT/NIPPV, HFNC had a significant advantage in length of ICU stay (P=0.04). There was no significant difference in HAP rate between HFNC and COT (P=0.61) or NIPPV (P=0.23).ConclusionsThere is a significant advantage to decrease reintubation rate between HFNC and COT, but there is no significant difference in ICU mortality, length of ICU stay or HAP rate. There is a significant advantage to decrease length of ICU stay between HFNC and NIPPV, but there is no significant difference in ICU mortality, reintubation rate or HAP rate.