Prolonged Mechanical Ventilation Patients Research Articles

The influence of different spontaneous breathing trials on regional ventilation distribution in patients with prolonged mechanical ventilation

ObjectiveThis study aimed to explore the influence of different spontaneous breathing trials (SBTs) on regional ventilation distribution in patients with prolonged mechanical ventilation (PMV). MethodsA total of 24 patients with PMV were analyzed retrospectively. They received three different SBT modes which are automatic tube compensation (ATC), continuous positive airway pressure (CPAP), and T-piece (TP), over three days, and every SBT lasted two hours. Electrical impedance tomography (EIT) was used to monitor the SBT process and five-minute EIT data from five periods (pre-SBT which is t0, at the beginning and the end of the first hour SBT are t1 and t2, at the beginning and the end of the second hour SBT are t3 and t4) were analyzed. ResultsIn all PMV patients, the temporal skew of aeration (TSA) values at t3 were significantly different in three SBTs (ATC: 18.18±22.97; CPAP: 20.42±17.01; TP:11.26±11.79; p=0.05). In the weaning success group, TSA (t1) values were significantly different too (ATC: 11.11±13.88; CPAP: 19.09±15.77; TP: 9.09±12.74; p=0.04). In the weaning failure group, TSA (t4) values were significantly different in three SBTs (ATC: 36.67±18.46; CPAP: 15.38±11.69; TP: 17.65±17.93; p=0.04). The patient’s inspiratory effort (Global flow index at t1) in patients with weaning failure under CPAP (3.51±4.31) was significantly higher than that in the ATC (1.15±1.47) and TP (0.89±1.28). The SBT mode with the best ventilation uniformity may be the one that activates the respiratory muscles the most which may be the optimal SBT. The SBT mode of most uniform ventilation distribution settings varies from patient to patient. ConclusionThe regional ventilation distribution was different for each individual, making the SBT with the best ventilation distribution of patients need to be personalized. EIT is a tool that can be considered for real-time assessment.

The impact of comorbidities on prolonged mechanical ventilation in patients with chronic obstructive pulmonary disease

BackgroundIn patients with chronic obstructive pulmonary disease (COPD) and acute respiratory failure, approximately 10% of them are considered to be at high risk for prolonged mechanical ventilation (PMV, > 21 days). PMV have been identified as independent predictors of unfavorable outcomes. Our previous study revealed that patients aged 70 years older and COPD severity were at a significantly higher risk for PMV. We aimed to analyze the impact of comorbidities and their associated risks in patients with COPD who require PMV.MethodsThe data used in this study was collected from Kaohsiung Medical University Hospital Research Database. The COPD subjects were the patients first diagnosed COPD (index date) between January 1, 2012 and December 31, 2020. The exclusion criteria were the patients with age less than 40 years, PMV before the index date or incomplete records. COPD and non-COPD patients, matched controls were used by applying the propensity score matching method.ResultsThere are 3,744 eligible patients with COPD in the study group. The study group had a rate of 1.6% (60 cases) patients with PMV. The adjusted HR of PMV was 2.21 (95% CI 1.44–3.40; P < 0.001) in the COPD patients than in non-COPD patients. Increased risks of PMV were found significantly for patients with diabetes mellitus (aHR 4.66; P < 0.001), hypertension (aHR 3.20; P = 0.004), dyslipidemia (aHR 3.02; P = 0.015), congestive heart failure (aHR 6.44; P < 0.001), coronary artery disease (aHR 3.11; P = 0.014), stroke (aHR 6.37; P < 0.001), chronic kidney disease (aHR 5.81 P < 0.001) and Dementia (aHR 5.78; P < 0.001).ConclusionsAge, gender, and comorbidities were identified as significantly higher risk factors for PMV occurrence in the COPD patients compared to the non-COPD patients. Beyond age, comorbidities also play a crucial role in PMV in COPD.

Brain protective effect of dexmedetomidine vs propofol for sedation during prolonged mechanical ventilation in non-brain injured patients.

Dexmedetomidine and propofol are two sedatives used for long-term sedation. It remains unclear whether dexmedetomidine provides superior cerebral protection for patients undergoing long-term mechanical ventilation. To compare the neuroprotective effects of dexmedetomidine and propofol for sedation during prolonged mechanical ventilation in patients without brain injury. Patients who underwent mechanical ventilation for > 72 h were randomly assigned to receive sedation with dexmedetomidine or propofol. The Richmond Agitation and Sedation Scale (RASS) was used to evaluate sedation effects, with a target range of -3 to 0. The primary outcomes were serum levels of S100-β and neuron-specific enolase (NSE) every 24 h. The secondary outcomes were remifentanil dosage, the proportion of patients requiring rescue sedation, and the time and frequency of RASS scores within the target range. A total of 52 and 63 patients were allocated to the dexmedetomidine group and propofol group, respectively. Baseline data were comparable between groups. No significant differences were identified between groups within the median duration of study drug infusion [52.0 (IQR: 36.0-73.5) h vs 53.0 (IQR: 37.0-72.0) h, P = 0.958], the median dose of remifentanil [4.5 (IQR: 4.0-5.0) μg/kg/h vs 4.6 (IQR: 4.0-5.0) μg/kg/h, P = 0.395], the median percentage of time in the target RASS range without rescue sedation [85.6% (IQR: 65.8%-96.6%) vs 86.7% (IQR: 72.3%-95.3), P = 0.592], and the median frequency within the target RASS range without rescue sedation [72.2% (60.8%-91.7%) vs 73.3% (60.0%-100.0%), P = 0.880]. The proportion of patients in the dexmedetomidine group who required rescue sedation was higher than in the propofol group with statistical significance (69.2% vs 50.8%, P = 0.045). Serum S100-β and NSE levels in the propofol group were higher than in the dexmedetomidine group with statistical significance during the first six and five days of mechanical ventilation, respectively (all P < 0.05). Dexmedetomidine demonstrated stronger protective effects on the brain compared to propofol for long-term mechanical ventilation in patients without brain injury.

The Age of Older Patients Requiring Prolonged Mechanical Ventilation Is Not the Sole Determinant of Their Long-Term Survival.

Background and Objectives: There are few data on the effects of prolonged mechanical ventilation on elderly patients. Our objective is to investigate the effects of prolonged mechanical ventilation on older patients' successful weaning and long-term survival. Methods: We examined how aging affected the course and results of elderly patients on prolonged mechanical ventilation by contrasting five age groups. Age, sex, cause of acute respiratory failure, comorbidities, discharge status, weaning status, and long-term survival outcomes were among the information we gathered. Results: Patients on prolonged mechanical ventilation who had undergone tracheostomy and had been successfully weaned had a greater one-year survival rate. The 1-year survival rate was poorer for older patients with four or more comorbidities. Regarding the 5-year survival rate, the risk of death was 45% lower in the successfully weaned patients than in the unsuccessfully weaned patients. The risk of death was 46% lower in patients undergoing tracheostomy than in those not undergoing tracheostomy. Older prolonged mechanical ventilation (PMV) patients with four or more comorbidities had an increased risk of death. Conclusions: When it comes to elderly patients on prolonged mechanical ventilation, there are other factors in addition to age that influence long-term survival. Long-term survival is likewise linked to successful weaning and undergoing tracheostomy.

A Predictive Model for Prolonged Mechanical Ventilation After Triple-Branched Stent Graft for Acute Type A Aortic Dissection

IntroductionThe aim of this study is to develop a model for predicting the risk of prolonged mechanical ventilation (PMV) following surgical repair of acute type A aortic dissection (AAAD). MethodsWe retrospectively collected clinical data from 381 patients with AAAD who underwent emergency surgery. Clinical features variables for predicting postoperative PMV were selected through univariate analysis, least absolute shrinkage and selection operator regression analysis, and multivariate logistic regression analysis. A risk prediction model was established using a nomogram. The model’s accuracy and reliability were evaluated using the area under the curve of the receiver operating characteristic curve and the calibration curve. Internal validation of the model was performed using bootstrap resampling. The clinical applicability of the model was assessed using decision curve analysis and clinical impact curve. ResultsAmong the 381 patients, 199 patients (52.2%) experienced postoperative PMV. The predictive model exhibited good discriminative ability (area under the curve = 0.827, 95% confidence interval: 0.786-0.868, P < 0.05). The calibration curve confirmed that the predicted outcomes of the model closely approximated the ideal curve, indicating agreement between the predicted and actual results (with an average absolute error of 0.01 based on 1000 bootstrap resampling). The decision curve analysis curve demonstrated that the model has significant clinical value. ConclusionsThe nomogram model established in this study can be used to predict the risk of postoperative PMV in patients with AAAD. It serves as a practical tool to assist clinicians in adjusting treatment strategies promptly and implementing targeted therapeutic measures.

Predictors of extubation failure and prolonged mechanical ventilation among patients with intracerebral hemorrhage after surgery

BackgroundSpontaneous intracerebral hemorrhage (ICH) is a condition associated with high mortality and morbidity. Survivors may require prolonged intubation with mechanical ventilation (MV). The aim of this study was to analyze the predictors of extubation failure and prolonged MV in patients who undergo surgical evacuation.MethodsThis retrospective study was conducted on adult patients with ICH who underwent MV for at least 48 h and survived > 14 days after surgery. The demographics, clinical characteristics, laboratory tests, and Glasgow Coma Scale score were analyzed.ResultsA total of 134 patients with ICH were included in the study. The average age of the patients was 60.34 ± 15.59 years, and 79.9% (n = 107) were extubated after satisfying the weaning parameters. Extubation failure occurred in 11.2% (n = 12) and prolonged MV in 48.5% (n = 65) patients. Multivariable regression analysis revealed that a white blood cell count > 10,000/mm3 at the time of extubation was an independent predictor of reintubation. Meanwhile, age and initial Glasgow Coma Scale scores were predictors of prolonged MV.ConclusionsThis study provided the first comprehensive characterization and analysis of the predictors of extubation failure and prolonged MV in patients with ICH after surgery. Knowledge of potential predictors is essential to improve the strategies for early initiation of adequate treatment and prognosis assessment in the early stages of the disease.

Risk factors for prolonged mechanical ventilation in critically ill patients with influenza-related acute respiratory distress syndrome

BackgroundPatients with influenza-related acute respiratory distress syndrome (ARDS) are critically ill and require mechanical ventilation (MV) support. Prolonged mechanical ventilation (PMV) is often seen in these cases and the optimal management strategy is not established. This study aimed to investigate risk factors for PMV and factors related to weaning failure in these patients.MethodsThis retrospective cohort study was conducted by eight medical centers in Taiwan. All patients in the intensive care unit with virology-proven influenza-related ARDS requiring invasive MV from January 1 to March 31, 2016, were included. Demographic data, critical illness data and clinical outcomes were collected and analyzed. PMV is defined as mechanical ventilation use for more than 21 days.ResultsThere were 263 patients with influenza-related ARDS requiring invasive MV enrolled during the study period. Seventy-eight patients had PMV. The final weaning rate was 68.8% during 60 days of observation. The mortality rate in PMV group was 39.7%. Risk factors for PMV were body mass index (BMI) > 25 (kg/m2) [odds ratio (OR) 2.087; 95% confidence interval (CI) 1.006–4.329], extracorporeal membrane oxygenation (ECMO) use (OR 6.181; 95% CI 2.338–16.336), combined bacterial pneumonia (OR 4.115; 95% CI 2.002–8.456) and neuromuscular blockade use over 48 h (OR 2.8; 95% CI 1.334–5.879). In addition, risk factors for weaning failure in PMV patients were ECMO (OR 5.05; 95% CI 1.75–14.58) use and bacteremia (OR 3.91; 95% CI 1.20–12.69).ConclusionsPatients with influenza-related ARDS and PMV have a high mortality rate.Risk factors for PMV include BMI > 25, ECMO use, combined bacterial pneumonia and neuromuscular blockade use over 48 h. In addition, ECMO use and bacteremia predict unsuccessful weaning in PMV patients.

Construction of a nomogram risk prediction model for prolonged mechanical ventilation in patients following surgery for acute type A aortic dissection.

This study aims to analyze the risk factors associated with prolonged mechanical ventilation (PMV) in patients following surgical treatment for acute type A aortic dissection (ATAAD). The objectives include constructing a predictive model for risk assessment and validating its predictive efficacy. A total of 452 patients diagnosed with ATAAD and undergoing surgical procedures at a tertiary hospital in Nanjing between January 2021 and April 2023 were selected using a convenience sampling method. Patients were categorized into two groups: PMV group (n = 132) and non-PMV group (n = 320) based on the occurrence of prolonged mechanical ventilation (PMV), and their clinical data were compared. The data were randomly divided into a modeling set and a validation set in a 7:3 ratio. Risk factors for PMV were identified in the modeling group using logistic regression analysis. A risk prediction model was constructed using R 4.1.3 software, visualized via a column chart. Receiver Operating Characteristic (ROC) curves were generated using the validation set to assess model differentiation. Calibration curves were plotted to evaluate accuracy and consistency, and Decision Curve Analysis (DCA) was applied to evaluate clinical utility. The logistic regression analysis identified age, body mass index, preoperative white blood cell count, preoperative creatinine, preoperative cerebral hypoperfusion, and cardiopulmonary bypass time as significant risk factors for postoperative PMV in patients with ATAAD. The area under the curve (AUC) for the validation set ROC curve was 0.856, 95% confidence interval (0.805-0.907), indicating good discrimination. Calibration curves revealed strong alignment with the ideal curve, and the Hosmer-Lemeshow goodness-of-fit test indicated a well-fitted model (P = 0.892). The DCA curve demonstrated a high net benefit value, highlighting the model's strong clinical utility. The risk prediction model developed in this study for PMV in patients undergoing surgery for ATAAD exhibits robust predictive performance. It provides valuable insights for healthcare practitioners in predicting the likelihood of PMV and devising timely and personalized intervention strategies.

Performance of Machine Learning Algorithms in Predicting Prolonged Mechanical Ventilation in Patients with Blunt Chest Trauma.

Mechanical ventilation (MV) is one of the most common treatments for patients with blunt chest trauma (BCT) admitted to the intensive care unit (ICU). Our study aimed to investigate the performance of machine learning algorithms in predicting the prolonged duration of mechanical ventilation (PDMV) in patients with BCT. In this single-center observational study, patients with BCT who were treated with MV through nasal or oral intubation were selected. PDMV was defined as the duration of mechanical ventilation ≥7 days after endotracheal intubation (normal vs prolonged MV; dichotomous outcomes). K-means was used to cluster data from the original cohort by an unsupervised learning method. Multiple machine learning algorithms were used to predict DMV categories. The most significant predictors were identified by feature importance analysis. Finally, a decision tree based on the chi-square automatic interaction detection (CHAID) algorithm was developed to study the cutoff points of predictors in clinical decision-making. A total of 426 patients and 35 characteristics were included. K-means clustering divided the cohort into two clusters (high risk and low risk). The area under the curve (AUC) of the DMV classification algorithms ranged from 0.753 to 0.923. The importance analysis showed that the volume of pulmonary contusion (VPC) was the most important feature to predict DMV. The prediction accuracy of the decision tree based on CHAID reached 86.4%. Machine learning algorithms can predict PDMV in patients with BCT. Therefore, limited medical resources can be more appropriately allocated to BCT patients at risk for PDMV.

Prevalence and risk factors for prolonged mechanical ventilation in patients with congenital heart diseases undergoing cardiac surgery at a tertiary care center.

Objective: To determine the prevalence and risk factors for prolonged mechanical ventilation (PMV) in patients with CHDs undergoing cardiac surgery at a tertiary care center of Karachi, Pakistan. Study Design: Cross-sectional study. Setting: Paediatric Cardiac Intensive Care Unit (PCICU) at National Institute of Cardiovascular Diseases, Karachi, Pakistan. Period: July 2022 to June 2023. Material &amp; Methods: We analyzed patients who underwent open or closed heart surgery for CHDs. PMV was defined as duration of mechanical ventilation &gt; 72 hours from the time of arrival to PCICU until extubation after cardiac surgery. Peri-operative factors were noted and their association with PMV was documented. Results: In a total of 184 patients who underwent surgeries for CHD, 105 (57.1%) were male while the overall mean age was 7.23±6.49 years. Post-surgery, PMV was documented in 17 (9.2%) patients. PMV was significantly associated with age (p=0.001), weight (p&lt;0.001), cyanosis (p=0.005), TAPSE (p=0.011), and CPB time (p=0.003). Post-surgery, PMV was linked with metabolic acidosis (p=0.003), lactate (p=0.001), AVDO2 (p&lt;0.001), inotropic score (p=0.002), low cardiac output (p=0.005), LV dysfunction (p&lt;0.001), acute kidney injury (p=0.002), sepsis (p&lt;0.001), pneumonia (p=0.004), mortality (p=0.045), and PCICU stay (p&lt;0.001). Conclusion: PMV was documented in 9.2% patients who underwent CHD repair. Age, weight, cyanosis, TAPSE, CPB time, metabolic acidosis, lactate, AVDO2, inotropic score, low cardiac output, LV dysfunction, acute kidney injury, sepsis, and pneumonia were noted to be significant risk factors for PMV.

Risk factors and early outcomes of prolonged mechanical ventilation following redo aortic arch surgery: A retrospective study

BackgroundRedo aortic arch surgery is complex and associated with higher risks and mortality. Prolonged mechanical ventilation (PMV) after cardiac surgery is linked to early adverse outcomes and increased costs. ObjectivesIdentify specific risk factors and early complications associated with PMV following redo aortic arch surgery. MethodsRetrospective study at Fuwai Hospital involving 203 patients. Data on patient characteristics, intraoperative factors, and outcomes were analyzed. ResultsA total of 203 patients were included, with 42.4 % requiring PMV. PMV patients had longer ICU stays (P < 0.001), lower discharge ADL scores (P < 0.001), and higher hospitalization costs (P < 0.001). While there was no significant difference in-hospital mortality between the two groups, the long-term survival rate in the PMV group was lower than that in the non-PMV group (P = 0.029). Multivariate analysis identified longer cardiopulmonary bypass time (OR 1.008, 95% CI, 1.002 – 1.014, P = 0.006), elevated intraoperative red blood cell transfusion(OR 1.214, 95% CI, 1.057 – 1.393, P = 0.006), higher PEEP (OR 1.296, 95% CI 1.089 – 1.542, P = 0.003), and total arch replacement (OR 3.241, 95% CI 1.392 – 7.543, P = 0.006) as independent risk factors for PMV. ConclusionPMV following redo aortic arch surgery is linked to early adverse outcomes, increased healthcare costs, and reduced long-term survival, with longer cardiopulmonary bypass times, elevated intraoperative red blood cell transfusion, higher PEEP, and total arch replacement as independent risk factors.

Early risk factors for prolonged mechanical ventilation in patients with severe blunt thoracic trauma: A retrospective cohort study

BackgroundA significant proportion of patients with severe chest trauma require mechanical ventilation (MV). Early prediction of the duration of MV may influence clinical decisions. We aimed to determine early risk factors for prolonged MV among adults suffering from severe blunt thoracic trauma. MethodsThis retrospective, single-center, cohort study included all patients admitted between January 2014 and December 2020 due to severe blunt chest trauma. The primary outcome was prolonged MV, defined as invasive MV lasting more than 14 days. Multivariable logistic regression was performed to identify independent risk factors for prolonged MV. ResultsThe final analysis included 378 patients. The median duration of MV was 9.7 (IQR 3.0–18.0) days. 221 (58.5 %) patients required MV for more than 7 days and 143 (37.8 %) for more than 14 days. Male gender (aOR 3.01, 95 % CI 1.63–5.58, p < 0.001), age (aOR 1.40, 95 % CI 1.21–1.63, p < 0.001, for each category above 30 years), presence of severe head trauma (aOR 3.77, 95 % CI 2.23–6.38, p < 0.001), and transfusion of >5 blood units on admission (aOR 2.85, 95 % CI 1.62–5.02, p < 0.001) were independently associated with prolonged MV. The number of fractured ribs and the extent of lung contusions were associated with MV for more than 7 days, but not for 14 days. In the subgroup of 134 patients without concomitant head trauma, age (aOR 1.63, 95 % CI 1.18–2.27, p = 0.004, for each category above 30 years), respiratory comorbidities (aOR 9.70, 95 % CI 1.49–63.01, p = 0.017), worse p/f ratio during the first 24 h (aOR 1.55, 95 % CI 1.15–2.09, p = 0.004), and transfusion of >5 blood units on admission (aOR 5.71 95 % CI 1.84–17.68, p = 0.003) were independently associated with MV for more than 14 days. ConclusionsSeveral predictors have been identified as independently associated with prolonged MV. Patients who meet these criteria are at high risk for prolonged MV and should be considered for interventions that could potentially shorten MV duration and reduce associated complications. Hemodynamically stable, healthy young patients suffering from severe thoracic trauma but no head injury, including those with extensive lung contusions and rib fractures, have a low risk of prolonged MV.

Complications of prolonged mechanical ventilation after cardiac surgery in children with Down syndrome: A single-center retrospective observational study

Background: Patients with Down syndrome (DS) are known to have an increased risk of congenital heart diseases, which can be a predictor of prolonged mechanical ventilation (PMV) after cardiac surgery. PMV is a factor that enhances postoperative complications and morbidities. Thus, we aimed to explore the risk factors of the PMV, and relevant complications associated with it. Subjects and Methods: This retrospective study included 94 patients with DS who underwent 97 cardiac repair surgeries between 2010 and 2022. Patients were dichotomized into two groups. The first group was with the patients on mechanical ventilation (MV) for &lt;72 h and the PMV group with MV for more than ≥72 h. Results: We reviewed the association between various risk factors and PMV in patients with DS. The presence of seizure disorder (P = 0.028), preoperative administration of prostaglandin (P = 0.028), and continuous positive airway pressure (CPAP) (P = 0.043) had significantly increased risk of PMV. We found a significantly increased incidence of sepsis (P = 0.009), delayed sternal closure (P = 0.01), feeding intolerance (P = 0.014), prolonged intensive care unit (ICU) stay (P = 0.0001), and pulmonary collapse (P = 0.001) in patients with PMV. There was no difference in the incidence of pulmonary hypertension, postoperative respiratory infection, pneumothorax, and chylothorax between children between the two groups. Conclusions: The presence of seizure disorder, preoperative usage of prostaglandin, and CPAP were significant risk factors for PMV. Incidence of sepsis, delayed sternal closure, feeding intolerance, prolonged ICU stay, and pulmonary collapse was significantly higher with PMV.

The Overall Prevalence and Main Determinants of Prolonged Mechanical Ventilation in Patients Undergoing Coronary Artery Bypass Grafting: A Systematic Review.

Although respiratory support is necessary to maintain hemodynamic stability in patients undergoing major surgeries, prolonging the time of mechanical ventilation is considered a major complication following these procedures. The identification of potential factors related to this phenomenon should be identified. In the present systematic review, we first assess the pooled prevalence of prolonged mechanical ventilation (PMV) in patients undergoing coronary artery bypass grafting (CABG) surgery and also determine the main predictors for PMV by deeply reviewing the literature. The manuscript databases including Medline, Web of Knowledge, Google Scholar, Scopus, and Cochrane were deeply searched by the two blinded investigators for all eligible studies based on the relevant keywords. Based on the titles and abstracts, 88 records were initially included and of those, 15 articles were eligible for the final analysis. The pooled prevalence of PMV in the studies that defined PMV as ventilation >24 h was 6.5% (95% confidence interval [CI]: 4.1%-10.2%) and in the studies, PMV as ventilation >48 h was 2.8% (95% CI: 1.7%-4.7%). Demographics (gender and advanced age), obesity, underlying comorbidities (hypertension, chronic kidney disease, cerebrovascular accident, high New York Heart Association class, history of chronic obstructive pulmonary disease, and history of acute coronary syndrome), emergency surgery, intraoperative characteristics (needing intra-aortic balloon pump, increased peak airway pressure, using cardiopulmonary bypass, the type of dose of anesthetics, cross-clamp time, increased units of blood transfusion, occurring cardiac ischemic events within an operation, fluid imbalance, and some anastomoses), and some postoperative outcome such as lowering O2 saturation, sequential organ failure assessment score, inotrope use, pleural effusion, delirium, and prolonged intensive care unit stay were found to be the main determinants for PMV. Depending on the definition of PMV, the prevalence of PMV varied from 1.7% to 10.2%. Various factors before, during, and after surgery are the predictors of PMV in these patients, which can be used to design new scoring systems to predict it.

Analysis of risk factors of prolonged mechanical ventilation in patients with severe burn injury.

Mechanical ventilation is an essential means of life support for patients with severe burns. However, prolonged mechanical ventilation (PMV) increases the incidence of complications and length of hospital stay. Therefore, studying the risk factors of mechanical ventilation duration is of great significance for reducing the duration of mechanical ventilation, reducing related complications, and improving the success rate of severe burn treatment. This study was a retrospective study of patients with burns ≥30% of the area admitted to the BICU of Guangzhou Red Cross Hospital affiliated with Jinan University from January 2016 to January 2023 who were mechanically ventilated. Patients were classified into the prolonged mechanical ventilation group if they were mechanically ventilated for ≥21 days. Then, independent risk factors for prolonged mechanical ventilation were determined by logistic regression analysis of the collected data. Of all the 112 enrolled patients, 79 had prolonged mechanical ventilation, with an incidence of 70.5%. Logistic regression analysis revealed that including abbreviated burn severity index (ABSI%) (P < 0.001), moderate and severe inhalation injury (P = 0.005, P = 0.044), albumin (P = 0.032), lactic acid (P < 0.001) were independent risk factors for prolonged mechanical ventilation. In addition, ventilator-related complications were 44% in the PMV group and 21% in the non-PMV group. ABSI%, inhalation injury, albumin, and lactic acid on admission are the risk factors for PMV in severe burn patients. In addition, ventilator-related complications were higher in group PMV than in group non-PMV in our study.

Preoperative systemic immune-inflammation index may predict prolonged mechanical ventilation in patients with spontaneous basal ganglia intracerebral hemorrhage undergoing surgical operation.

Prolonged mechanical ventilation (PMV) has been proven as a risk factor for poor prognosis in patients with neurocritical illness. Spontaneous basal ganglia intracerebral hemorrhage (ICH) is one common subtype of hemorrhagic stroke and is associated with high morbidity and mortality. The systemic immune-inflammation index (SII) is used as a novel and valuable prognostic marker for various neoplastic diseases and other critical illnesses. This study aimed to analyze the predictive value of preoperative SII for PMV in patients with spontaneous basal ganglia ICH who underwent surgical operations. This retrospective study was conducted in patients with spontaneous basal ganglia ICH who underwent surgical operations between October 2014 and June 2021. SII was calculated using the following formula: SII = platelet count × neutrophil count/lymphocyte count. Multivariate logistic regression analysis and receiver operating characteristics curve (ROC) were used to evaluate the potential risk factors of PMV after spontaneous basal ganglia ICH. A total of 271 patients were enrolled. Of these, 112 patients (47.6%) presented with PMV. Multivariate logistic regression analysis showed that preoperative GCS (OR, 0.780; 95% CI, 0.688-0.883; P < 0.001), hematoma size (OR, 1.031; 95% CI, 1.016-1.047; P < 0.001), lactic acid (OR, 1.431; 95% CI, 1.015-2.017; P = 0.041) and SII (OR, 1.283; 95% CI, 1.049-1.568; P = 0.015) were significant risk factors for PMV. The area under the ROC curve (AUC) of SII was 0.662 (95% CI, 0.595-0.729, P < 0.001), with a cutoff value was 2,454.51. Preoperative SII may predict PMV in patients with spontaneous basal ganglia ICH undergoing a surgical operation.

Factors associated with long-term mechanical ventilation in patients undergoing cardiovascular surgery

BackgroundOne of the main therapy for coronary artery disease is surgery. Prolonged mechanical ventilation in patients with cardiac surgery is associated with high mortality. This study aimed to determine the factors related to long-term mechanical ventilation (LTMV) in patients undergoing cardiovascular surgery.MethodsThe present study was a descriptive-analytical study in which the records of 1361 patients who underwent cardiovascular surgery and were on a mechanical ventilator during 2019–2020 at the Imam Ali Heart Center in Kermanshah city were examined. The data collection tool was a three-part researcher-made questionnaire including demographic characteristics, health records, and clinical variables. Data analysis was done using descriptive and inferential statistical tests and SPSS Version 25 software.ResultsIn this study, of the 1361 patients, 953 (70%) were male. The results indicated that 78.6% of patients had short-term mechanical ventilation, and 21.4% had long-term mechanical ventilation. There was a statistically significant relationship between the history of smoking, drug use, and baking bread with the type of mechanical ventilation (P < 0.05). Also, based on the regression test, some parameters, such as the history of respiratory conditions, could predict the prolongation of mechanical ventilation. Creatinine levels before surgery, chest secretions after surgery, central venous pressure after surgery, and the status of cardiac enzymes before surgery also affect this issue.ConclusionThis study investigated some factors related to prolonged mechanical ventilation in patients undergoing heart surgery. For optimizing the care and therapeutic measures, It is suggested, healthcare workers have a detailed assessment on patients with factors such as the history of baking bread, history of obstructive pulmonary disease, history of kidney disease, use of an intra-aortic pump, number of respirations and systolic blood pressure 24 h after surgery, creatinine level 24 h after surgery, chest secretions after surgery, and the amount of pre-operative ejection fraction and cardiac enzymes (CK-MB).

Postoperative prolonged mechanical ventilation in patients with surgically treated pyogenic spondylodiscitis: a surrogate endpoint for early postoperative mortality

Surgical procedures with spinal instrumentation constitute a prevalent and occasionally highly indicated treatment modality in patients with pyogenic spondylodiscitis (PSD). However, surgical therapy might be associated with the need of prolonged postoperative intensive care medicine which in turn might impair intended operative benefit. Therefore, we analyzed prolonged mechanical ventilation (PMV) as an indicator variable for such intensive care treatment with regard to potential correlations with mortality in this vulnerable patient cohort. Between 2012 and 2018, 177 consecutive patients received stabilization surgery for PSD at the authors’ neurosurgical department. PMV was defined as postoperative mechanical ventilation of more than 24 h. A multivariable analysis was performed to identify independent predictors for 30-day mortality. Twenty-three out of 177 patients (13%) with PSD suffered from postoperative PMV. Thirty-day mortality rate was 5%. Multivariable analysis identified “spinal empyema” (p = 0.02, odds ratio (OR) 6.2, 95% confidence interval (CI) 1.3–30.2), “Charlson comorbidity index (CCI) > 2” (p = 0.04, OR 4.0, 95% CI 1.0–15.5), “early postoperative complications (PSIs)” (p = 0.001, OR 17.1, 95% CI 3.1–96.0) and “PMV > 24 hrs” (p = 0.002, OR 13.0, 95% CI 2.7–63.8) as significant and independent predictors for early postoperative mortality. The present study indicates PMV to significantly correlate to elevated early postoperative mortality rates following stabilization surgery for PSD. These results might entail further scientific efforts to investigate PMV as a so far underestimated negative prognostic factor in the surgical treatment of PSD.

Epidemiology, risk factors and outcomes of prolonged mechanical ventilation with different cut-points in a PICU.

A consensus on the definition of prolonged mechanical ventilation (PMV) for children does not exist. There is still lack of published work presenting the epidemiology, risk factors and outcomes at different cut-points for PMV patients. These are important for planning the goals of treatment and counseling of the prognosis for patient families. We aimed to determine the incidence, baseline characteristics, risk factors and outcomes of PMV in pediatric patients at various cut-points (>14, >21 or >30days). A retrospective cohort study among children <18-years-old who were PMV > 14 days in the PICU of King Chulalongkorn Memorial Hospital was conducted. The primary outcomes were incidence of PMV with various cut-points. We stratified patients into three groups (Group 1; PMV > 14-21, Group 2; >21-30, Group 3; >30 days) for evaluating the baseline characteristics, risk factors, and outcomes of PMV (extubation success, tracheostomy status and death). Factors associated with PMV and deaths were analyzed using univariate and multivariate logistic regression. From January 2018 to August 2022, 1,050 patients were screened. Of these, 114 patients were enrolled. The incidence of PMV > 14, >21 and >30 days were 10.9%, 7.3% and 5.0% respectively. Extubation success was significantly lower in Group 3 than in Groups 1 & 2 (15.4% vs. 62.2% & 56.0%, P < 0.001). Consequently, the tracheostomy rate (63.5% vs. 16.2% & 12.0%, P < 0.001), VAP rate (98.1% vs. 59.5% & 80.0%, P < 0.001), mortality rate by disease (34.6% vs. 5.4% & 20.0%, P = 0.003), median PICU LOS (50.5 vs. 22.0 & 28.0 days, P < 0.001) and median hospital LOS (124.5 vs. 55.0 & 62.0 days, P < 0.001) were also significantly higher for Group 3 compared with Groups 1 & 2. The factor associated with PMV > 30 days was VAP (aOR: 19.53, 95% CI: 2.38-160.34, P = 0.01). Factors associated with non-surviving patients were 3rd degree PEM (aOR: 5.14, 95% CI: 1.57-16.88, P = 0.01), PIM3 score ≥14 (aOR: 6.75, 95% CI: 2.26-20.15, P < 0.001) and muscle relaxant usage (aOR: 5.58, 95% CI: 1.65-18.86, P = 0.01). Extubation failure, tracheostomy rate, VAP rate, mortality rate by disease, PICU LOS and hospital LOS were significantly higher for PMV >30 days. Consequently, we suggest that a 30-day duration as a cut-point for PMV in PICUs might be more appropriate.

High summation of preoperative and postoperative Interleukin-6 levels predicts prolonged mechanical ventilation in patients with acute DeBakey type I aortic dissection: A single center retrospective study

ObjectiveThis study aimed to investigate the predictive effect of preoperative and postoperative interleukin-6 (IL-6) levels on the duration of mechanical ventilation in patients with acute DeBakey Type I aortic dissection (I-AAD) after emergency surgery. MethodsWe retrospectively enrolled 381 patients with I-AAD who underwent surgery in our hospital, between June 2018 and June 2022. Patients were divided into two groups according to whether prolonged mechanical ventilation (PMV) occurred after surgery. The baseline data, biochemical indicators at admission, surgical data, biochemical indicators at postoperative 6 h, and the postoperative data of the two groups were recorded and analyzed. ResultsThe PMV group comprised 199 patients, and the non-PMV group 182. The postoperative in-hospital mortality was different between the two groups (11.1% vs. 3.3%, p = 0.004). The length of intensive care unit and hospitalization time in the PMV group were significantly longer than those in the non-PMV group. Multiple regression analysis showed postoperative IL-6 (post-IL-6) ≥67.1 pg/mL and summation of preoperative and postoperative IL-6 (total IL-6) ≥83.4 pg/mL were associated risk factors for PMV [odds ratio (OR) 3.259, 95% confidence interval (CI) 1.922–5.524, p < 0.001], [(OR) 4.515, 95% CI 2.241–9.098, p < 0.001]. Furthermore, determined by the receiver operating characteristics(ROC) curve, the cut-off point was total IL-6 ≥83.4 pg/mL (area under curve(AUC) = 0.825). The sensitivity and specificity of predicting postoperative PMV of patients with I-AAD were 91.5% and 78.2%, respectively (95% CI 0.782–0.868, p < 0.001). ConclusionFor predicting postoperative PMV in patients with I-AAD, post IL-6 ≥67.1 pg/mL is potentially valuable and summation of preoperative and postoperative IL-6 (total IL-6) ≥83.4 pg/mL has a more pronounced predictive value.