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.
Post operational recovery from cardiac surgery can be affected by many factors, including preoperative, intraoperative, and postoperative factors. Prolonged mechanical ventilation (PMV) , one of the major complications, has been widely accepted as a measure to evaluate the performance and outcomes of cardiac surgeries. Great progress has been made in the studies of risk factors contributing to PMV following cardiac surgeries in recent years. However, no clear and effective measures and approaches are available yet to prevent PMV. In this review, the authors try to summarize the risk factors that are associated with PMV throughout the perioperative period of cardiac surgery, as well as possible interventions when applicable.
ObjectiveTo investigate the association of preoperative serum uric acid (UA) levels with postoperative prolonged mechanical ventilation (PMV) in patients undergoing mechanical heart valve replacement.MethodsClinical data of 311 patients undergoing mechanical heart valve replacement in The First Affiliated Hospital of Anhui Medical University from January 2017 to December 2017 were retrospectively analyzed. There were 164 males at age of 55.6±11.4 years and 147 females at age of 54.2±9.8 years. The patients were divided into a PMV group (>48 h) and a control group according to whether the duration of PMV was longer than 48 hours. Spearman's rank correlation coefficient and logistic regression analysis were conducted to evaluate the relationship between preoperative UA and postoperative PMV. The predictive value of UA for PMV was undertaken using the receiver operating characteristic (ROC) curve..ResultsAmong 311 patients, 38 (12.2%) developed postoperative PMV. Preoperative serum UA level mean values were 6.11±1.94 mg/dl, while the mean UA concentration in the PMV group was significantly higher than that in the control group (7.48±2.24 mg/dl vs. 5.92±1.82 mg/dl, P<0.001). Rank correlation analysis showed that UA was positively correlated with postoperative PMV (rs=0.205, P<0.001). Multivariate logistic regression analysis demonstrated that preoperative elevated UA was associated independently with postoperative PMV with odds ratio (OR)=1.44 and confidence interval (CI) 1.15–1.81 (P=0.002). The area under the ROC curve of UA predicting PMV was 0.72, 95% CI0.635–0.806, 6.40 mg/dl was the optimal cut-off value, and the sensitivity and specificity was 76.3% and 63.0% at this time, respectively.ConclusionPreoperative elevated serum UA is an independent risk factor for postoperative PMV in patients undergoing mechanical heart valve replacement and has a good predictive value.
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.
Objective
To explore the feasibility of ultrasound diagnosis of diaphragmatic paralysis in patients with ventilation after congenital heart disease surgery.
Methods
There were 542 patients with congenital heart disease after surgery, difficult to be weaned off the ventilator or suspected diaphragmatic paralysis of the patients, respectively, in the ventilator continous positive pressure breathing (CPAP) mode and completely independent breathing state, whose ultrasound examination of diaphragm function was conducted to determine the presence of diaphragmatic paralysis in our hospital between January 1, 2013 and April 30, 2016. There were 327 males and 215 females at age of 14±32 months. The results of ultrasound diagnosis between ventilator CPAP mode and completely spontaneous breathing mode were compared.
Results
Five hundred and forty-two patients underwent ultrasound diaphragmatic examination. The results of bedside ultrasound were completely diagnosed: in completely spontaneous breathing, 82 patients who were diagnosed as diaphragmatic paralysis, including 39 on the right, 25 on the left, 18 on both sides; in CPAP mode, 82 patients who were diagnosed as diaphragmatic paralysis, 38 on the right, left 25, bilateral 19. Using ultrasound in CPAP mode to diagnose diaphragmatic paralysis after congenital heart disease surgery, compared with the completely spontaneous breathing state, the sensitivity was 100.0% and the specificity was 99.9%.
Conclusion
It is accurate and feasible to diagnose the presence of diaphragmatic paralysis in patients with ventilation after congenital heart disease surgery.
Objective To develop and validate a nomogram for predicting the risk of weaning failure in elderly patients with severe pneumonia undergoing mechanical ventilation. Methods A retrospective analysis was conducted on the clinical data of 330 elderly patients with severe pneumonia undergoing mechanical ventilation who were hospitalized in our hospital from July 2021 to July 2023. According to their weaning outcomes, they were divided into a successful group (n=213 ) and a failure group (n=117). Univariate analysis and multivariate non-conditional logistic regression analysis were used to explore the factors influencing the weaning failure of mechanical ventilation in elderly patients with severe pneumonia. Results Univariate analysis showed that there were significant differences in age, smoking status, chronic obstructive pulmonary disease, ventilation time, albumin, D-dimer, and oxygenation index levels between the two groups (all P<0.05). Multivariate logistic regression analysis revealed that age ≥65 years, smoking, presence of chronic obstructive pulmonary disease, ventilation time ≥7 days, D-dimer ≥2 000 μg/L, and reduced oxygenation index were risk factors for weaning failure in the elderly patients with severe pneumonia. The nomogram model constructed based on these factors had an area under ROC curve of 0.970 (95%CI 0.952 - 0.989), and the calibration curve demonstrated good agreement between predicted and observed values. Conclusions Age, smoking status, chronic obstructive pulmonary disease, ventilation time, D-dimer, and oxygenation index are influencing factors for weaning failure in elderly patients with severe pneumonia receiving mechanical ventilation. The nomogram model constructed based on these factors exhibits good discrimination and accuracy.
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.
Objective To explore the application value of shear wave elastography (SWE) combined with diaphragmatic thickening fraction (DTF) and rapid shallow breathing index (RSBI) in predicting the results of weaning of patients with mechanical ventilation. Methods Fifty-two patients with severe illness who were hospitalized in this hospital from January 2022 to September 2022 were treated with mechanical ventilation. After meeting the conditions for weaning, they underwent spontaneous breathing test, and the diaphragm function of patients was evaluated by measuring DTF using ultrasound technology and shear modulus (SM) using SWE technology. According to the weaning results, they were divided into weaning success group and weaning failure group, The differences of mechanical ventilation time, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, respiratory rate, RSBI, oxygenation index, DTF, SM and other parameters between the two groups were compared. Multivariate logistic regression was used to analyze the factors affecting the withdrawal results. The receiver operator characteristic (ROC) curve was used to evaluate the predictive value of potential influencing factors on the withdrawal results. Results There were 39 cases of successful withdrawal and 13 cases of failure. There were significant differences in mechanical ventilation time, respiratory rate, RSBI, DTF and SM between the successful weaning group and the failure group (P<0.05). Through multivariate logistic regression analysis, RSBI [area under the ROC curve (AUC)=0.771, 95% confidence interval (CI) 0.589 - 0.953], DTF (AUC=0.806, 95%CI 0.661 - 0.951), SM (AUC=0.838, 95%CI 0.695 - 0.981) were independent factors that affected the results of withdrawal. The single parameter AUC was smaller than the combined index with RSBI≤70.48 times·min–1L–1, DTF≥30.0%, SM≥10.0 kPa as the cutoff value (AUC=0.937, 95%CI 0.714 - 1.0, diagnostic sensitivity, specificity and accuracy were 94.9%, 84.6% and 92.3% respectively). Conclusions SWE technology provides a new quantitative index for evaluating diaphragm function by evaluating diaphragm stiffness. Diaphragm stiffness combined with DTF and RSBI can better predict the successful withdrawal in patients with mechanical ventilation.
In the clinical practice, the mechanical ventilation is a very important assisting method to improve the patients' breath. Whether or not the parameters set for the ventilator are correct would affect the pulmonary gas exchange. In this study, we try to build an advisory system based on the gas exchange model for mechanical ventilation using fuzzy logic. The gas exchange mathematic model can simulate the individual patient's pulmonary gas exchange, and can help doctors to learn the patient's exact situation. With the fuzzy logic algorithm, the system can generate ventilator settings respond to individual patient, and provide advice to the doctors. It was evaluated in 10 intensive care patient cases, with mathematic models fitted to the retrospective data and then used to simulate patient response to changes in therapy. Compared to the ventilator set only as part of routine clinical care, the present system could reduce the inspired oxygen fraction, reduce the respiratory work, and improve gas exchange with the model simulated outcome.
