Variation in Definition of Prolonged Mechanical Ventilation

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

BACKGROUND

A 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.

METHODS

This 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.

RESULTS

The 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.

CONCLUSIONS

Several 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.

Factors Predicting Prolonged Mechanical Ventilation in Guillain-Barré Syndrome

BACKGROUND

Up to 30% of patients with Guillain-Barré syndrome require mechanical ventilation and 5% die due to acute complications of mechanical ventilation. There is a considerable group of patients that will need prolonged mechanical ventilation (considered as >14 days) and should be considered for early tracheostomy. The objective of this study is to identify risk factors for prolonged mechanical ventilation.

METHODS

We prospectively analyzed patients with Guillain-Barré diagnosis with versus without prolonged mechanical ventilation. We considered clinical and electrophysiological characteristics and analyzed factors associated with prolonged mechanical ventilation.

RESULTS

Three hundred and three patients were included; 29% required mechanical ventilation. When comparing the groups, patients with prolonged invasive mechanical ventilation (IMV) have a lower score on the Medical Research Council score (19.5 ± 16.2 vs 27.4 ± 17.5, p = 0.03) and a higher frequency of dysautonomia (42.3% vs 19.4%, p = 0.037), as well as lower amplitudes of the distal compound muscle action potential (CMAP) of the median nerve [0.37 (RIQ 0.07-2.25) vs. 3.9 (RIQ1.2-6.4), p = <0.001] and ulnar nerve [0.37 (RIQ0.0-3.72) vs 1.5 (RIQ0.3-6.6), p = <0.001], and higher frequency of severe axonal damage in these nerves (distal CMAP ≤ 1.0 mV). Through binary logistic regression, severe axonal degeneration of the median nerve is an independent risk factor for prolonged IMV OR 4.9 (95%CI 1.1-21.5) p = 0.03, AUC of 0.774, (95%CI 0.66-0.88), p = < 0.001.

CONCLUSIONS

Severe median nerve damage is an independent risk factor for prolonged mechanical ventilation.

Prolonged mechanical ventilation after lung transplantation: risks factors and consequences on recipient outcome

Background

Risk factors and the incidence of prolonged mechanical ventilation (PMV) after lung transplantation (LT) have been poorly described. The study assessed predictive factors of PMV after LT.

Methods

This observational, retrospective, monocentric study included all patients who received LT in Bichat Claude Bernard Hospital between January 2016 and December 2020. PMV was defined as a duration of MV > 14 days. Independent risk factors for PMV were studied using multivariate analysis. One-year survival depending on PMV was studied using Kaplan Meier and log-rank tests. A p value <0.05 was defined as significant.

Results

224 LT recipients were analysed. 64 (28%) of them received PMV for a median duration of 34 [26-52] days versus 2 [1-3] days without PMV. Independent risk factors for PMV were higher body mass index (BMI) (p = 0.031), diabetes mellitus of the recipient (p = 0.039), ECMO support during surgery (p = 0.029) and intraoperative transfusion >5 red blood cell units (p < 0.001). Increased mortality rates were observed at one-year in recipients who received PMV (44% versus 15%, p < 0.001).

Conclusion

PMV was associated with increased morbidity and mortality one-year after LT. Preoperative risk factors (BMI and diabetes mellitus) must be considered when selecting and conditioning the recipients.

Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach

The goal of this study was to develop a predictive machine learning model to predict the risk of prolonged mechanical ventilation (PMV) in patients admitted to the intensive care unit (ICU), with a focus on laboratory and Arterial Blood Gas (ABG) data. This retrospective cohort study included ICU patients admitted to Rajaei Hospital in Shiraz between 2016 and March 20, 2022. All adult patients requiring mechanical ventilation and seeking ICU admission had their data analyzed. Six models were created in this study using five machine learning models (PMV more than 3, 5, 7, 10, 14, and 23 days). Patients' demographic characteristics, Apache II, laboratory information, ABG, and comorbidity were predictors. This study used Logistic regression (LR), artificial neural networks (ANN), support vector machines (SVM), random forest (RF), and C.5 decision tree (C.5 DT) to predict PMV. The study enrolled 1138 eligible patients, excluding brain-dead patients and those without mechanical ventilation or a tracheostomy. The model PMV > 14 days showed the best performance (Accuracy: 83.63-98.54). The essential ABG variables in our two optimal models (artificial neural network and decision tree) in the PMV > 14 models include FiO₂, paCO₂, and paO₂. This study provides evidence that machine learning methods outperform traditional methods and offer a perspective for achieving a consensus definition of PMV. It also introduces ABG and laboratory information as the two most important variables for predicting PMV. Therefore, there is significant value in deploying such models in clinical practice and making them accessible to clinicians to support their decision-making.

Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units

BACKGROUND

Acute respiratory distress syndrome (ARDS) is common in intensive care units with high mortality rate and mechanical ventilation (MV) is the most important related treatment. Early prediction of MV duration has benefit for patients risk stratification and care strategies support.

OBJECTIVE

To develop an explainable model for predicting mechanical ventilation (MV) duration in patients with ARDS using the machine learning (ML) approach.

METHOD

The number of 1,148, 1,697, and 29 ARDS patients admitted to intensive care units (ICU) in the MIMIC-IV, eICU-CRD, and AmsterdamUMCdb databases were included in the study. Features at MV initiation from the MIMIC-IV dataset were used to train prediction models based on seven supervised machine learning algorithms. After 5-fold cross-validation for hyperparameters tuning, the hyperparameters- optimized model of different algorithms was tested by external datasets extracted from eICU-CRD and Amsterdamumcdb. Finally, three descriptive machine learning explanation methods were conducted for the model explanation.

RESULT

The XGBoosting model showed the most stable and accurate performance among two testing datasets (RMSE= 5.57 and 5.46 days in eICU-CRD and AmsterdamUMCdb) and was selected as the optimal model. The model explanation based on SHAP, LIME, and DALEX results showed a consistent result, vasopressor, PH, and SOFA score had the highest effect on MV duration prediction.

CONCLUSION

ML models with features at MV initiation can accurate predict MV duration in patients with ARDS in ICUs. Among seven algorithms, XGB models showed the best performance (RMSE= 5.57 and 5.46 in two external datasets). LIME, SHAP, and Breakdown methods showed good performance as AXI methods.

Care practices for patients requiring mechanical ventilation more than seven days in Swedish intensive care units: A national survey

OBJECTIVE

To identify care practices in Swedish intensive care units specific to patients requiring mechanical ventilation for >7 days.

RESEARCH METHODOLOGY

We conducted a national cross-sectional survey inviting all adult Swedish ICUs (n = 79). Nurse managers were invited by email to complete a questionnaire by telephone. The questionnaire included seven domains: ventilator weaning, mobilisation, communication, nutrition, symptom assessment, psychosocial support and organisational characteristics.

RESULTS

We received responses from 77 units (response rate, 97%). Weaning protocols were available in 42 (55%) units, 52 (68%) used individualised weaning strategies and 50 (65%) involved physicians and nurses in collaborative decision making. In 48 units (62%), early mobilisation was prioritised using bed cycling but only 26 (34%) units had mobilisation protocols. Most of the intensive care units (74, 96%) had nutrition protocols but only 2 (3%) had dedicated dieticians. Delirium screening tools were available in 49 (64%) ICUs, 3 (4%) assessed anxiety and none assessed dyspnoea. Nineteen (25%) units employed a primary nursing model and 11 (14%) indicated person-centred care policies. Regular case conferences, including family participation, were held by 39 (51%) units.

CONCLUSION

We found that an individualised approach to ventilator weaning, decided by physicians and nurses in collaboration, was the predominant approach, although weaning protocols were available in some intensive care units. Most units prioritised early mobilisation, though few used protocols. Nutritional protocols were widely adopted, as few units had a dedicated dietician.

Clinical characteristics and outcomes of children with prolonged mechanical ventilation in PICUs in mainland China: A national survey

OBJECTIVE

The number of children on prolonged mechanical ventilation (PMV) in pediatric intensive care units (PICU) has increased markedly, but little is known about the situation in mainland China. We carried out a multicenter retrospective investigation to describe the clinical characteristics and prognosis of Chinese children receiving long-term ventilation in the PICU.

METHODS

A retrospective study was performed in 11 PICUs. All participating patients with prolonged mechanical ventilation in the study were retrospectively identified and included from cases admitted to PICUs between January 1, 2017 and December 31, 2019.

RESULTS

A total of 346 children diagnosed with prolonged mechanical ventilation were included in the study. Overall, 240 survived and were discharged from PICU, 55 died in hospital, and 51 withdrew from mechanical ventilation support with 41 died after discharge. Lower airway diseases were the most common underlying causes (41.6%), followed by central nervous system diseases (29.5%), and neuromuscular diseases (13.3%). Most children (327, 94.5%) received invasive mechanical ventilation (IMV) and only 19 (5.5%) children received noninvasive ventilation (NIV). The median time of tracheostomy after ventilation was 21 days (15-35). Children with tracheostomy had lower mortality with longer PICU stay compared with patients without tracheostomy. Children who underwent tracheostomy were more likely to have central nervous system diseases and neuromuscular diseases.

CONCLUSION

This study showed a steady increase in the number of children receiving prolonged mechanical ventilation during the study period in Chinese PICUs with distinct clinical characteristics and outcomes. A better community-based care for PMV children is needed in mainland China.

Pattern of disease and determinants of mortality among ICU patients on mechanical ventilator in Sub-Saharan Africa: a multilevel analysis

BACKGROUND

The global mortality rate of patients with MV is very high, despite a significant variation worldwide. Previous studies conducted in Sub-Saharan Africa among ICU patients focused on the pattern of admission and the incidence of mortality. However, the body of evidence on the clinical outcomes among patients with MV is still uncertain.

OBJECTIVE

The objective of this study was to investigate the pattern of disease and determinants of mortality among patients receiving mechanical ventilation in Southern Ethiopia.

METHODS

Six hundred and thirty patients on mechanical ventilation were followed for 28 days, and multilevel analysis was used to account for the clustering effect of ICU care in the region.

RESULTS

The incidence of 28-day mortality among patients with MV was 49% (95% CI: 36-58). The multilevel multivariate analysis revealed that being diabetic, having GSC < 8, and night time admission (AOR = 7.4; 95% CI: 2.96-18.38), (AOR = 5.9; (5% CI: 3.23, 10.69), and (AOR = 2.5; 95% CI: 1.24, 5.05) were predictors.

CONCLUSION

The higher 28-day mortality among ICU patients on mechanical ventilation in our study might be attributed to factors such as delayed patient presentation, lack of resources, insufficient healthcare infrastructure, lack of trained staff, and financial constraints.

TRIAL REGISTRATION

The protocol was registered retrospectively on ( NCT05303831 ).

A simple-to-use nomogram for predicting prolonged mechanical ventilation for children after Ebstein anomaly corrective surgery: a retrospective cohort study

BACKGROUND

Prolonged mechanical ventilation (PMV) after pediatric cardiac surgery imposes a great burden on patients in terms of morbidity, mortality as well as financial costs. Ebstein anomaly (EA) is a rare congenital heart disease, and few studies have been conducted about PMV in this condition. This study aimed to establish a simple-to-use nomogram to predict the risk of PMV for EA children.

METHODS

The retrospective study included patients under 18 years who underwent corrective surgeries for EA from January 2009 to November 2021. PMV was defined as postoperative mechanical ventilation time longer than 24 hours. Through multivariable logistic regression, we identified and integrated the risk factors to develop a simple-to-use nomogram of PMV for EA children and internally validated it by bootstrapping. The calibration and discriminative ability of the nomogram were determined by calibration curve, Hosmer-Lemeshow goodness-of-fit test and receiver operating characteristic (ROC) curve.

RESULTS

Two hundred seventeen children were included in our study of which 44 (20.3%) were in the PMV group. After multivariable regression, we obtained five risk factors of PMV. The odds ratios and 95% confidence intervals (CI) were as follows: preoperative blood oxygen saturation, 0.876(0.805,0.953); cardiothoracic ratio, 3.007(1.107,8.169); Carpentier type, 4.644(2.065,10.445); cardiopulmonary bypass time, 1.014(1.005,1.023) and postoperative central venous pressure, 1.166(1.016,1.339). We integrated the five risk factors into a nomogram to predict the risk of PMV. The area under ROC curve of nomogram was 0.805 (95% CI, 0.725,0.885) and it also provided a good discriminative information with the corresponding Hosmer-Lemeshow p values > 0.05.

CONCLUSIONS

We developed a nomogram by integrating five independent risk factors. The nomogram is a practical tool to early identify children at high-risk for PMV after EA corrective surgery.

A protocol for exploring patients' and support peoples' experiences after prolonged critical illness

BACKGROUND

Improved survival of critically ill people has increased the number of patients who experience an extended stay in intensive care units (ICU). Evidence suggests the complexities, vulnerabilities, and traumas created by critical illness are substantial for both patients and their support people with a number experiencing devastating impairments across multiple domains of health and function including physical, mental, cognitive, and social health. However, research on survivors predominantly focuses on those who have experienced a relatively short length of stay; only a limited number of studies seek to explore the experiences of survivors and their support people who have had a prolonged stay in intensive care.

AIMS AND OBJECTIVES

To describe the experiences of survivors of prolonged critical illness (invasively mechanically ventilated in ICU for ≥eight days) and their support people during the first 12 months following hospital discharge in New Zealand.

DESIGN

This research will be a multi-centre study recruiting from three intensive care units in New Zealand. A narrative inquiry methodology will be used to interview 6-8 former long stay patients and 6-8 support people of a former long stay patient. Each participant will be interviewed at 3-, 6-, 9-, and 12-months following hospital discharge.

METHODS

Data will be collected via narrative inquiry interviews. Data analysis will combine two theoretical frameworks: the Clandinin and Connelly narrative inquiry three-dimensional space and the Fairclough situation, discourse and context framework.

RESULTS

The phenomenon of investigation will be experiences after prolonged critical illness explored longitudinally across the first-year post-hospital discharge.

RELEVANCE TO CLINICAL PRACTICE

This protocol provides a methodological framework for exploring the lived experiences of survivors of prolonged critical illness and their support people. Data analysis will support understanding of the human journey of ICU survivorship and add to the body of knowledge on how to support post-ICU recovery in this population. The barriers and enablers of survivorship at the micro, meso, and macro levels of the health service will also be illuminated.

Establishment of a risk prediction model for prolonged mechanical ventilation after lung transplantation: a retrospective cohort study

BACKGROUND

Prolonged mechanical ventilation (PMV), mostly defined as mechanical ventilation > 72 h after lung transplantation with or without tracheostomy, is associated with increased mortality. Nevertheless, the predictive factors of PMV after lung transplant remain unclear. The present study aimed to develop a novel scoring system to identify PMV after lung transplantation.

METHODS

A total of 141 patients who underwent lung transplantation were investigated in this study. The patients were divided into PMV and non-prolonged ventilation (NPMV) groups. Univariate and multivariate logistic regression analyses were performed to assess factors associated with PMV. A risk nomogram was then established based on the multivariate analysis, and model performance was further examined regarding its calibration, discrimination, and clinical usefulness.

RESULTS

Eight factors were finally identified to be significantly associated with PMV by the multivariate analysis and therefore were included as risk factors in the nomogram as follows: the body mass index (BMI, P = 0.036); primary diagnosis as idiopathic pulmonary fibrosis (IPF, P = 0.038); pulmonary hypertension (PAH, P = 0.034); primary graft dysfunction grading (PGD, P = 0.011) at T₀; cold ischemia time (CIT P = 0.012); and three ventilation parameters (peak inspiratory pressure [PIP, P < 0.001], dynamic compliance [Cdyn, P = 0.001], and P/F ratio [P = 0.015]) at T₀. The nomogram exhibited superior discrimination ability with an area under the curve of 0.895. Furthermore, both calibration curve and decision-curve analysis indicated satisfactory performance.

CONCLUSION

A novel nomogram to predict individual risk of receiving PMV for patients after lung transplantation was established, which may guide preventative measures for tackling this adverse event.

Intraoperative Hemoadsorption (Cytosorb™) during Open Thoracoabdominal Aortic Repair: A Pilot Randomized Controlled Trial

BACKGROUND

The efficacy of cytokine adsorption in controlling the early inflammation cascade after open thoracoabdominal aortic (TAAA) repair has not been investigated. The aim of this pilot randomized controlled trial was to assess the feasibility and effect of perioperative hemoadsorption during open TAAA repair.

METHODS

Patients scheduled for open TAAA repair with the use of cardiopulmonary bypass (CPB) were included. The patients were randomized the day before surgery to either intraoperative hemoadsorption during CPB or standard of care.

RESULTS

A total of 10 patients were randomly assigned to the intervention group, whereas the control group consisted of 17 patients (mean age of the total cohort, 51.1 ± 11.2 years, 67% male, 3 patients not randomized). The majority of baseline and perioperative characteristics were similar, and no device-related adverse events were reported. A trend to shorter ventilation times in the intervention group was observed (median 88 h vs. 510 h, p = 0.08, Δ422). Severe acute respiratory distress syndrome was significantly less in the intervention patients (p = 0.02).

CONCLUSIONS

This is the first pilot study showing that the intraoperative use of hemoadsorption in open TAAA repair patients may be feasible and safe, yet larger trials are needed to evaluate whether intraoperative hemoadsorption is associated with improved clinical outcomes.

Prolonged Mechanical Ventilation in Pediatric Trauma Patients in a Combat Zone

OBJECTIVES

It is well known that polytrauma can lead to acute lung injury. Respiratory failure has been previously observed in combat trauma, but not reported in children, who account for over 11% of bed days at deployed Military Treatment Facilities (MTFs) using significant resources. We seek to identify risk factors associated with prolonged mechanical ventilation (PMV) which is important in resource planning and allocation in austere environments.

DESIGN

Retrospective review of prospectively collected data within the United States Department of Defense Trauma Registry.

SETTING

Deployed U.S. MTFs in Iraq and Afghanistan from 2007 to 2016.

PATIENTS

All pediatric subjects who required at least 1 day of mechanical ventilation, excluding patients who died on day 0.

INTERVENTIONS

PMV was defined using the Youden index for mortality. A multivariable logistic regression model was then performed to identify factors associated with PMV.

MEASUREMENTS AND MAIN RESULTS

The Youden index identified greater than or equal to 6 days as the cutoff for PMV. Of the 859 casualties included in the analysis, 154 (17.9%) had PMV. On univariable analysis, age, severe injury to the thorax and skin, 24-hour volume/kg administration of crystalloids, colloids, platelets, plasma, and packed RBCs was associated with PMV. In the multivariable model, odds ratios (95% CI) associated with PMV were crystalloids 1.04 (1.02-1.07), colloids 1.24 (1.04-1.49), platelets 1.03 (1.01-1.05), severe injury to the thorax 2.24 (1.41-3.48), and severe injury to the skin 4.48 (2.72-7.38). Model goodness-of-fit r2 was 0.14.

CONCLUSIONS

In this analysis of factors associated with PMV in pediatric trauma patients in a combat zone, in addition to severe injury to skin and thorax, we found that administration of crystalloids, colloids, and platelets was independently associated with greater odds of PMV. Our findings will help inform resource planning and suggest potential resuscitation strategies for future studies.

Long-Term Ventilation in Children with Medical Complexity: A Challenging Issue

Children with medical complexity (CMCs) represent a subgroup of children who may have congenital or acquired multisystemic disease. CMCs are frequently predisposed to respiratory problems and often require long-term mechanical ventilation (LTMV). The indications for LTMV in CMCs are increasing, but gathering evidence about indications, titration, and monitoring is currently the most difficult challenge due to the absence of validated data. The aim of this review was to examine the clinical indications and ethical considerations for the initiation, continuation, or withdrawal of LTMV among CMCs. The decision to initiate long-term ventilation should always be based on clinical and ethical considerations and should be shared with the parents.

Postoperative prolonged mechanical ventilation correlates to poor survival in patients with surgically treated spinal metastasis

Objective

Patients with spinal metastasis (SM) are at advanced stages of systemic cancer disease. Surgical therapy for SM is a common treatment modality enabling histopathological diagnosis and the prevention of severe neurological deficits. However, surgery for SM in this vulnerable patient cohort may require prolonged postoperative intensive care treatment, which could adversely affect the anticipated benefit of the surgery. We therefore assessed postoperative prolonged mechanical ventilation (PMV) as an indicator for intensive care treatment with regard to potential correlations with early postoperative mortality and overall survival (OS).

Methods

Between 2015 and 2019, 198 patients were surgically treated for SM at the author´s neurosurgical department. PMV was defined as postoperative mechanical ventilation of more than 24 hours. A multivariate analysis was performed to identify pre- and perioperative collectable predictors for 30 days mortality.

Results

Twenty out of 198 patients (10%) with SM suffered from postoperative PMV. Patients with PMV exhibited a median OS rate of 1 month compared to 12 months for patients without PMV (p < 0.0001). The 30 days mortality was 70% and after one year 100%. The multivariate analysis identified “PMV > 24 hrs” (p < 0.001, OR 0.3, 95% CI 0.02-0.4) as the only significant and independent predictor for 30 days mortality (Nagelkerke’s R2 0.38).

Conclusions

Our data indicate postoperative PMV to significantly correlate to high early postoperative mortality rates as well as to poor OS in patients with surgically treated SM. These findings might encourage the initiation of further multicenter studies to comprehensively investigate PMV as a so far underestimated negative prognostic factor in the course of surgical treatment for SM.

Early identification of delayed extubation following cardiac surgery: Development and validation of a risk prediction model

Background

Successful weaning and extubation after cardiac surgery is an important step of postoperative recovery. Delayed extubation is associated with poor prognosis and high mortality, thereby contributing to a substantial economic burden. The aim of this study was to develop and validate a prediction model estimate the risk of delayed extubation after cardiac surgery based on perioperative risk factors.

Methods

We performed a retrospective cohort study of adult patients undergoing cardiac surgery from 2014 to 2019. Eligible participants were randomly assigned into the development and validation cohorts, with a ratio of 7:3. Variables were selected using least absolute shrinkage and selection operator (LASSO) logistic regression model with 10-fold cross-validation. Multivariable logistic regression was applied to develop a predictive model by introducing the predictors selected from the LASSO regression. Receiver operating characteristic (ROC) curve, calibration plot, decision curve analysis (DCA) and clinical impact curve were used to evaluate the performance of the predictive risk score model.

Results

Among the 3,919 adults included in our study, 533 patients (13.6%) experienced delayed extubation. The median ventilation time was 68 h in the group with delayed extubation and 21 h in the group without delayed extubation. A predictive scoring system was derived based on 10 identified risk factors based on 10 identified risk factors including age, BMI ≥ 28 kg/m², EF < 50%, history of cardiac surgery, type of operation, emergency surgery, CPB ≥ 120 min, duration of surgery, IABP and eGFR < 60 mL/min/1.73 m². According to the scoring system, the patients were classified into three risk intervals: low, medium and high risk. The model performed well in the validation set with AUC of 0.782 and a non-significant p-value of 0.901 in the Hosmer-Lemeshow test. The DCA curve and clinical impact curve showed a good clinical utility of this model.

Conclusions

We developed and validated a prediction score model to predict the risk of delayed extubation after cardiac surgery, which may help identify high-risk patients to target with potential preventive measures.

Prolonged Mechanical Ventilation Following Coronary Artery Bypass Graft in Santiago De Cali, Colombia

Purpose

The purpose of this study was to describe factors associated with prolonged ventilatory support in subjects undergoing coronary artery bypass graft.

Patients and Methods

This was an analytical retrospective case-control study. Cases were defined as subjects requiring prolonged mechanical ventilation (>48 hours) following isolated coronary artery bypass graft. Subjects older than 18 years who had undergone surgery were included, while subjects with missing clinical record data, subjects in coma or subjects with prior cardiac surgery were excluded. Variables were measured at the three time points surrounding surgery.

Results

A total of 204 cases and 408 controls were included. The final logistic model showed an association between prolonged mechanical ventilation and the following presurgical variables: chronic obstructive pulmonary disease (OR 1.85; 95% CI: 1.06-3.23, p = 0.03) and chronic kidney disease (OR 1.90; 95% CI: -3.31; p = 0.02). The associated transurgical variable was the use of intra-aortic balloon pump (OR 3.63; 95% CI: 1.73-7.61, p = 0.00), and associated postsurgical variables were venous oxygen saturation <60% (OR 2.00; 95% CI: 1.18-3.40, p = 0.01), mediastinitis (OR 18.51; 95% CI: 4.06-84.40, p = 0.00), inotrope use (OR 2.82; 95% CI: 1.77-4.48, p = 0.00), pleural effusion requiring drainage (OR 3.57; 95% CI: 2.02-6.32, p = 0.00) and delirium (OR 3.45; 95% CI: 1.91-6.25, p = 0.00).

Conclusion

This study identifies factors associated with prolonged mechanical ventilation in subjects subject to coronary artery bypass graft over the presurgical, transurgical and postsurgical periods, identifying a new factor, delirium, for this type of population.

Prolonged mechanical ventilation in patients with severe COVID-19 is associated with serial modified-lung ultrasound scores: A single-centre cohort study

Lung ultrasound (LUS), a rapid, bedside, goal-oriented diagnostic test, can be quantitatively assessed, and the scores can be used to evaluate disease progression. However, little data exists on predicting prolonged mechanical ventilation (PMV) and successful extubation using serial LUS scores. We examined the relationship of PMV with successful extubation in patients with severe coronavirus disease (COVID-19) by using two types of serial LUS scores. One LUS score evaluated both the pleura and lung fields, while the other assessed each separately (modified-LUS score). Both LUS scores were determined for 20 consecutive patients with severe COVID-19 at three timepoints: admission (day-1), after 48 h (day-3), and on the seventh follow-up day (day-7). We compared LUS scores with the radiographic assessment of the lung oedema (RALE) scores and laboratory test results, at the three timepoints. The PMV and successful extubation groups showed no significant differences in mortality, but significant differences occurred on day-3 and day-7 both LUS scores, day-7 RALE score, and day-7 PaO2/FiO2 ratio, in the PMV group (p<0.05); and day-3 and day-7 modified-LUS scores, day-7 C-reactive protein levels, and day-7 PaO2/FiO2 ratio, in the successful extubation group (p<0.05). The area under the curves (AUC) of LUS scores on day-3 and day-7, modified-LUS scores on day-3 and day-7,RALE score on day-7, and PaO2/FiO2 ratio on day-7 in the PMV group were 0.98, 0.85, 0.88, 0.98, 0.77, and 0.80, respectively. The AUC of modified-LUS scores on day-3 and day-7, C-reactive protein levels on day-7, and PaO2/FiO2 ratio on day-7 in the successful extubation group were 0.79, 0.90, 0.82, and 0.79, respectively. The modified-LUS score on day 7 was significantly higher than that on day 1 in PMV group (p<0.05). While the LUS score did not exhibit significant differences. The serial modified-LUS score of patients with severe COVID-19 could predict PMV.

An analysis of early volume resuscitation and the association with prolonged mechanical ventilation

BACKGROUND

Previous studies have found that intravenous fluid administration within the first 24 h may be associated with prolonged mechanical ventilation (PMV). We examined the association between initial 24 h fluids and PMV in combat casualties.

METHODS

This is a secondary analysis of a previously described dataset from the Department of Defense Trauma Registry (DODTR). We included casualties with at least 24 h on the ventilator and no significant traumatic brain injury. The definition of PMV and associations were constructed using univariable and multivariable logistic regression models.

RESULTS

We identified 1508 casualties available for analysis for this study - 1275 in the non-PMV cohort (<9 days on ventilator vs. 233 in the PMV cohort (≥9 days on ventilator). Explosives comprised the most common mechanism of injury for both groups (72% vs. 75%) followed by firearms (21% vs. 16%). The composite injury severity score (ISS) was lower in the non-PMV cohort (18 vs. 30, p < .001). There were lower volumes of all resuscitation fluid within the first 24 h in the non-PMV cohort. When adjusting for composite ISS and mechanism of injury in a multivariable logistic regression model with PMV as the outcome, crystalloid volume (unit odds ratio [UOR] 1.07) and colloid volume (UOR 1.03) were both associated with PMV.

CONCLUSIONS

We found that volume of resuscitation fluids were substantially higher in the PMV cohort. Our findings suggest the need for caution with the routine use of crystalloid and colloid in the first 24 h of resuscitation.

Clinical Features Associated With Need for Mechanical Ventilation in Children With Guillain-Barré Syndrome: Retrospective Cohort From India

OBJECTIVES

To analyze the clinical features associated with the need for mechanical ventilation (MV) in children with Guillain-Barré syndrome (GBS).

DESIGN

Retrospective cohort study, 2010-2019.

SETTING

PICU.

PATIENTS

All children, 1 month to 12 years old, diagnosed with GBS in our single-center PICU.

INTERVENTION

Retrospective chart and data review.

MEASUREMENTS AND MAIN RESULTS

Out of 189 children identified with a diagnosis of GBS, 130 were boys (69%). The median (interquartile range [IQR]) age was 6 years (3-9 yr). At admission, the Hughes disability score was 5 (4-5), and cranial nerve palsies were present in 81 children (42%). Autonomic instability subsequently occurred in a total of 97 children (51%). In the 159 children with nerve conduction studies, the axonal variant of GBS (102/159; 64%) predominated, followed by the demyelinating variant (38/189; 24%). All children received IV immunoglobulins as first-line therapy at the time of admission. The median (IQR) length of PICU stay was 12 days (3-30.5 d). Ninety-nine children (52%) underwent invasive MV, and median duration of MV was 25 days (19-37 d). At admission, upper limb power less than or equal to 3 (p = 0.037; odds ratio (OR), 3.5 [1.1-11.5]), lower limb power less than or equal to 2 (p = 0.008; OR, 3.5 [1.4-8.9]), and cranial nerve palsy (p = 0.001; OR, 3.2 [1.6-6.1]) were associated with subsequent need for MV. Prolonged (> 21 d) MV was associated with more severe examination findings at admission: upper limb power less than or equal to 2 (p < 0.0001; OR, 4.2 [2.5-6.9]) and lower limb power less than or equal to 1 (p < 0.0001; OR, 4.5 [2.6-7.9]).

CONCLUSIONS

In children with GBS, referred to our center in North India, severe neuromuscular weakness at admission was associated with the need for MV. Furthermore, greater severity of this examination was associated with need for prolonged (> 21 d) MV. Identification of these signs may help in prioritizing critical care needs and early PICU transfer.

Prolonged Mechanical Ventilation: Outcomes and Management

The number of patients requiring prolonged mechanical ventilation (PMV) is increasing worldwide, placing a burden on healthcare systems. Therefore, investigating the pathophysiology, risk factors, and treatment for PMV is crucial. Various underlying comorbidities have been associated with PMV. The pathophysiology of PMV includes the presence of an abnormal respiratory drive or ventilator-induced diaphragm dysfunction. Numerous studies have demonstrated that ventilator-induced diaphragm dysfunction is related to increases in in-hospital deaths, nosocomial pneumonia, oxidative stress, lung tissue hypoxia, ventilator dependence, and costs. Thus far, the pathophysiologic evidence for PMV has been derived from clinical human studies and experimental studies in animals. Moreover, recent studies have demonstrated the outcome benefits of pharmacological agents and rehabilitative programs for patients requiring PMV. However, methodological limitations affected these studies. Controlled prospective studies with an adequate number of participants are necessary to provide evidence of the mechanism, prognosis, and treatment of PMV. The great epidemiologic impact of PMV and the potential development of treatment make this a key research field.

Blood Transfusion Predicts Prolonged Mechanical Ventilation in Acute Stanford Type A Aortic Dissection Undergoing Total Aortic Arch Replacement

Background

This research aimed to evaluate the impacts of transfusing packed red blood cells (pRBCs), fresh frozen plasma (FFP), or platelet concentrate (PC) on postoperative mechanical ventilation time (MVT) in patients with acute Stanford type A aortic dissection (ATAAD) undergoing after total arch replacement (TAR).

Methods

The clinical data of 384 patients with ATAAD after TAR were retrospectively collected from December 2015 to October 2017 to verify whether pRBCs, FFP, or PC transfusion volumes were associated with postoperative MVT. The logistic regression was used to assess whether blood products were risk factors for prolonged mechanical ventilation (PMV) in all three endpoints (PMV ≥24 h, ≥48 h, and ≥72 h).

Results

The mean age of 384 patients was 47.6 ± 10.689 years, and 301 (78.39%) patients were men. Median MVT was 29.5 (4–574) h (h), and 213 (55.47%), 136 (35.42%), and 96 (25.00%) patients had PMV ≥24 h, ≥48 h, and ≥72 h, respectively. A total of 36 (9.38%) patients did not have any blood product transfusion, the number of patients with transfusion of pRBCs, FFP, and PC were 334 (86.98%), 286 (74.48%), and 189 (49.22%), respectively. According to the multivariate logistic regression of three PMV time-endpoints, age was a risk factor [PMV ≥ 24 h odds ratio (ORPMV≥24) = 1.045, p = 0.005; ORPMV≥48 = 1.060, p = 0.002; ORPMV≥72 = 1.051, p = 0.011]. pRBC transfusion (ORPMV≥24 = 1.156, p = 0.001; ORPMV≥48 = 1.156, p &lt; 0.001; ORPMV≥72 = 1.135, p ≤ 0.001) and PC transfusion (ORPMV≥24 = 1.366, p = 0.029; ORPMV≥48 = 1.226, p = 0.030; ORPMV≥72 = 1.229, p = 0.011) were independent risk factors for PMV. FFP had no noticeable effect on PMV [ORPMV≥48 = 0.999, 95% confidence interval (CI) 0.998–1.000, p = 0.039; ORPMV≥72 = 0.999, 95% CI: 0.998–1.000, p = 0.025].

Conclusions

In patients with ATAAD after TAR, the incidence of PMV was very high. Blood products transfusion was closely related to postoperative mechanical ventilation time. pRBC and PC transfusions and age increased the incidence of PMV at all three endpoints.

Prognostic factors and outcomes in COVID-19 patients requiring prolonged mechanical ventilation: a retrospective cohort study

Background:

Mechanical ventilation (MV) in coronavirus disease 2019 (COVID-19) patients is associated with high mortality and extensive resource utilization. The aim of this study was to investigate prognostic factors and outcomes associated with prolonged mechanical ventilation (PMV) in COVID-19 patients.

Methods:

This was a retrospective cohort study of COVID-19 patients requiring invasive MV who were hospitalized between 1 March 2020 and 30 June 2021 in the intensive care units (ICUs) of three referral hospitals belonging to a single health system. Data were extracted from electronic health records. PMV was defined as  > 17 days of MV.

Results:

Of 355 patients studied, 86 (24%) required PMV. PMV patients had lower PaO2/FiO2 ratio, higher PCO2, and higher plateau and driving pressures during the first 2 weeks of MV than their short MV (SMV; ⩽ 17 days) counterparts. PMV patients received more proning, neuromuscular blockade, and tracheostomy, had longer ICU and hospital length of stay (LOS), and required discharge to an inpatient rehabilitation facility more frequently (all p < 0.001). Overall 30-day mortality was 43.9%, with no statistically significant difference between PMV and SMV groups. In PMV patients, smoking, Charlson comorbidity index > 6, and week 2 PaO2/FiO2 ratio < 150 and plateau pressure ⩾ 30 were positively associated with 30-day mortality. In a multivariate model, results were directionally consistent with the univariate analysis but did not reach statistical significance.

Conclusion:

PMV is commonly required in COVID-19 patients with respiratory failure. Despite the higher need for critical care interventions and LOS, more than half of the PMV cohort survived to hospital discharge. Higher PaO2/FiO2 ratio, lower plateau pressure, and fewer comorbidities appear to be associated with survival in this group.

Impact of Inspiratory Muscle Training on Weaning Parameters in Prolonged Ventilator-Dependent Patients: A Preliminary Study

Introduction

Patients require prolonged mechanical ventilation to overcome respiratory failure in the chronic respiratory care ward; however, how to facilitate ventilator weaning using a nurse-led strategy is limited.

Objectives

This study aimed to examine the impact of adjusting ventilator trigger sensitivity as inspiratory muscle training on weaning parameters in patients with prolonged ventilator dependence.

Methods

Multiple pre-test–post-test with a non-equivalent control group design was conducted at a chronic respiratory care ward in southern Taiwan. A convenience sampling method was used to recruit patients who received prolonged mechanical ventilation for more than 21 days into control (n  =  20) and intervention groups (n  =  22). Adjustment of ventilator trigger sensitivity started from 10% of the initial maximum inspiratory pressure and increased to 40% after a training period of six weeks. The weaning parameters were collected for pre-test and multiple post-tests, and statistical analysis of treatment effects was performed using the generalized estimating equation.

Results

Magnitude of weaning parameters was significantly higher in the intervention group after the six-week training, including maximum inspiratory pressure, rapid shallow breathing index, tidal volume, and ratio of arterial-to-inspired oxygen.

Conclusion

Adjustment of ventilator trigger sensitivity as inspiratory muscle training can help prolonged ventilator-dependent patients improve their respiratory muscle strength, breathing patterns, and oxygenation.

Factors associated with prolonged weaning from mechanical ventilation in medical patients

BACKGROUND

Patients who need prolonged mechanical ventilation (MV) have high resource utilization and relatively poor outcomes. The pathophysiologic mechanisms leading to weaning failure in this group may be complex and multifactorial. The aim of this study was to investigate the factors associated with prolonged weaning based on the Weaning Outcome according to a New Definition (WIND) classification.

METHODS

This is a prospective observational study with consecutive adult patients receiving MV for at least two calendar days in medical intensive care units from 1 November 2017 to 30 September 2020. Eligible patients were divided in a non-prolonged weaning group, including short and difficult weaning, and in a prolonged weaning group according to the WIND classification. The risk factors at the time of first separation attempt associated with prolonged weaning were analyzed using a multivariable logistic regression model.

RESULTS

Of the total 915 eligible patients, 172 (18.8%) patients were classified as prolonged weaning. A higher proportion of the prolonged weaning group had previous histories of endotracheal intubation, chronic lung disease, and hematologic malignancies. When compared with the non-prolonged weaning group, the median duration of MV before the first spontaneous breathing trial (SBT) was longer and the proportion of tracheostomized patients was higher in prolonged weaning group. In addition, the prolonged weaning group used higher peak inspiratory pressures and yielded lower PaO₂/FiO₂ ratios at the day of the first SBT compared with the non-prolonged weaning group. In multivariate analyses, the duration of MV before first SBT (adjusted odds ratio [OR] = 1.14, 95% confidence interval [CI] = 1.06-1.22, p < 0.001), tracheostomy state (adjusted OR = 1.95, 95% CI = 1.04-3.63, p = 0.036), PaO₂/FiO₂ ratio (adjusted OR = 1.00, 95% CI = 0.99-1.00, p = 0.023), and need for renal replacement therapy (adjusted OR = 2.68, 95% CI = 1.16-6.19, p = 0.021) were independently associated with prolonged weaning. After the exclusion of patients who underwent tracheostomy before the SBTs, similar results were obtained.

CONCLUSION

Longer duration of MV before the first SBT, tracheostomy status, poor oxygenation, and need for renal replacement therapy at the time of first SBT can predict prolonged weaning.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT05134467.

The long-term ICU patient: Which definition?

AIMS AND OBJECTIVES

To offer a review of the differing terminologies used by clinicians and researchers to describe the long-term intensive care unit (ICU) patient and the underlying propositions that align with this terminology.

BACKGROUND

Ongoing medical and technological advances in emergency and intensive care have resulted in improved survival of critically ill patients in recent decades. In addition, these advancements have also resulted in improved survival of complex critically ill patients who progress to a trajectory of prolonged critical illness, having protracted stays in the ICU. There is great variability in terminology used to define the long-term ICU patient. This lack of a common definition for long-term ICU patients is problematic, increasing their vulnerability and risk of care not being centred about their unique needs.

DESIGN

In this discursive article, we explore the terminology used to define the long-term ICU patient. An initial broad search of the literature across four electronic databases was conducted to identify common terminology used to define the long-term ICU patient. From here, seven definitions were identified and chosen for inclusion in the review as they meet inclusion criteria and clearly described a group of patients who have an extended ICU stay. The seven selected terms are as follows: prolonged mechanical ventilation; failure to wean; insertion of tracheostomy; chronically critically ill; persistent critical illness; persistent inflammatory-immunosuppressive and catabolic syndrome; and frailty. Following this a focused review of the literature with the selected terms was conducted to explore in greater detail the terminology.

DISCUSSION

The lack of clear definition for this patient group can potentiate their care needs being unmet. Acknowledgement of the need to clearly define this patient group is the first step to improve outcomes. Nursing is well positioned to recognise the different terminologies use to describe this group of patients and implement care to suit their unique clinical characteristics.

CONCLUSION AND RELEVANCE TO CLINICAL PRACTICE

Recognition and standardisation of these terms are an important priority to pave the way to improve care pathways and outcomes for this group of patients and their family.

Biomarkers for Adverse Lung Injury Following Pediatric Cardiopulmonary Bypass

Supplemental Digital Content is available in the text.

Cardiopulmonary bypass triggers systemic inflammation, resulting in lung injury, and frequently leads to prolonged mechanical ventilation. Biomarkers of systemic inflammation are required to predict the risk of such complications. We hypothesize that specific serum proteins can be used as biomarkers to predict the severity of lung injury following cardiac surgery.

Tracheostomy Decision-making Communication among Patients Receiving Prolonged Mechanical Ventilation

Rationale: Patients receiving prolonged mechanical ventilation experience high morbidity and mortality, poor quality of life, and significant caregiving and financial burden. It is unclear what is discussed with patients and families during the tracheostomy decision-making process.Objectives: The aim of this study was to identify themes of communication related to tracheostomy decision-making in patients receiving prolonged mechanical ventilation and to explore patient and clinical factors associated with more discussion of these themes.Methods: We conducted a mixed-methods study involving adult patients in medical or cardiac intensive care units who received continuous mechanical ventilation for ≥7 days and were considered for tracheostomy placement during the same admission. We performed a consensus-driven review of documented family meeting conversations to identify characteristics and themes related to tracheostomy decision-making. A multivariate analysis was performed to investigate patient and clinical factors associated with the discussion of one or more of the identified themes.Results: Of the 241 patients included, 191 (79.2%) had at least one documented conversation regarding tracheostomy decision-making, and 148 (61.4%) required further discussions before reaching a decision. We identified the following four themes related to tracheostomy decision-making: patient's previously expressed preferences, patient's baseline condition and functional status, long-term complications, and long-term prognosis. Of the documented conversations, 45.3% addressed none of the identified themes. Patients who did not undergo tracheostomy placement were more likely to have documented discussion of one or more themes compared with those who did (74.6% vs. 41.6%). In multivariate analysis, age ≥75, female sex, significant preadmission functional dependence, home oxygen requirement, and involvement of palliative care were associated with more documented discussion of one or more themes.Conclusions: Our findings suggest inadequate information exchange regarding patient preferences and long-term prognosis during tracheostomy decision-making, especially among patients who went on to pursue tracheostomy. There is a critical need to promote effective shared decision-making to better align tracheostomy intervention with patient values and to prevent unwanted health states at the end of life.

Novel High-Quality Sonographic Methods to Diagnose Muscle Wasting in Long-Stay Critically Ill Patients: Shear Wave Elastography, Superb Microvascular Imaging and Contrast-Enhanced Ultrasound

Novel ultrasound (US) methods are required to assess qualitative changes in the quadriceps rectus femoris (QRF) muscle when evaluating mechanically ventilated, long-stay ICU patients with suspected neuromuscular acquired weakness (ICUAW). Our aim was to analyze novel US muscle assessment methods in these patients versus healthy controls by carrying out a prospective observational study. Shear wave elastography (SWE) showed, with a receiver operating characteristic (ROC) curve of 0.972 (95% confidence interval (CI) = 0.916–1.000), that patients increased muscle stiffness associated with muscle fibrosis when diagnosed with ICUAW. We also performed, for the first time, superb microvascular imaging (SMI), which is an innovative US technique designed for imaging microvascularization unseen with color Doppler US, and observed that 53.8% of cases had significantly lower QRF muscle microvascular angiogenic activity than controls (p < 0.001). Finally, we used contrast-enhanced ultrasound (CEUS) to analyze maximum and minimum QRF muscle perfusion and obtained a ROC curve of 0.8, but when used as markers for SMI, their diagnostic capacity increased to 0.988 (CI = 0.965–1) and 0.932 (CI = 0.858–1), respectively. These findings show, for the first time, that these novel sonographic muscle methods should be used for their diagnostic capacity when assessing sarcopenic processes associated with this group of critically ill patients.

The Impact of Prolonged Mechanical Ventilation on Overall Survival in Patients With Surgically Treated Brain Metastases

Objective

Surgical resection represents a common treatment modality in patients with brain metastasis (BM). Postoperative prolonged mechanical ventilation (PMV) might have an enormous impact on the overall survival (OS) of these patients suffering from advanced cancer disease. We therefore have analyzed our institutional database with regard to a potential impact of PMV on OS of patients who had undergone surgery for brain metastases.

Methods

360 patients with surgically treated brain metastases were included. The definition of PMV consisted of postoperative mechanical ventilation lasting for more than 48 hours. Analysis of survival incorporating established prognostic factors such as age, location of BM, and preoperative physical status was performed.

Results

14 of 360 patients with BM (4%) suffered from postoperative PMV after surgical treatment of BM. Patients with PMV presented in a significantly more impaired neurological condition preoperatively than patients without (p<0.0001). Multivariate analysis determined PMV to be a significant prognostic factor for OS after surgical treatment in patients with BM, independent of other predictive factors (p<0.0001).

Conclusions

The present study demonstrates postoperative PMV as significantly related to poor OS in patients with surgically treated BM. Postoperative PMV is a so far underestimated prognostic predictor, but might be utilized for optimized patient management early in the postoperative phase. For this purpose, the results of the present study should encourage the initiation of further scientific efforts.

Predictors of prolonged mechanical ventilation identified at an emergency visit for elderly people: A retrospective cohort study

The aim of this study was to determine the factors that are associated with prolonged mechanical ventilation in elderly patients.Retrospective cohort studySingle tertiary hospital in JapanWe retrospectively identified 228 patients aged 75 years or older who were admitted to a single tertiary care center in Japan between January 1, 2014 and December 31, 2017 because of endogenous diseases and underwent mechanical ventilation.The primary outcome was extubation difficulty, which was defined as the need for mechanical ventilation for more than 14 days after intubation, reintubation within 72 hours after extubation, tracheotomy or extubation, or death within 14 days after intubation.A multivariate analysis showed that age (odds ratio [OR] = 0.95; 95% confidence interval [CI] = 0.66-1.38; P = .80), gender (OR = 0.56; 95%CI = 0.27-1.17; P = .13), body mass index (BMI) (OR = 1.05; 95%CI = 0.98-1.14; P = .16), smoking history (OR = 0.64; 95%CI = 0.29-1.41; P = .27), Activities of daily living (ADL) (OR = 0.95; 95%CI = 0.49-1.83; P = .87), and modified acute physiology and chronic health evaluation (APACHE) II score (OR = 1.02; 95%CI = 0.95-1.09; P = .61) were not statistically significantly different. However, there were statistically significant differences in extubation difficulty between patients with diabetes mellitus (OR = 2.3; 95%CI = 1.01-5.12; P = .04) and those with cardiovascular disease diagnosis on admission (OR = 0.31; 95%CI = 0.1-0.97; P = .04).Diabetes mellitus and cardiovascular disease diagnosis on admission were factors that were associated with prolonged mechanical ventilation in the elderly. The results of this study may help to support shared decision making with patients or surrogate decision makers at the start of intensive care in the elderly.

The CAM-ICU-7 and ICDSC as measures of delirium severity in critically ill adult patients

Background

In clinical practice, a dichotomous approach to delirium identification may no longer be relevant when existing delirium screening tools measure a range of scores. The objective of this study was to compare the Confusion Assessment Method for the Intensive Care Unit 7-item (CAM-ICU-7) and the Intensive Care Delirium Screening Checklist (ICDSC) as measures of the spectrum of delirium severity in critically ill adult patients.

Methods

In this cross-sectional study, 218 patients underwent 641 paired assessments by bedside nurses (ICDSC, as per usual care) and trained research assistants (CAM-ICU-7). Correlation between the CAM-ICU-7 and ICDSC scores was evaluated. Logistic regression was used to explore associations between CAM-ICU-7 or ICDSC score and length of ICU stay and mechanical ventilation (receipt, ≥96 hours).

Results

Delirium prevalence evaluated by the CAM-ICU-7 and ICDSC were 46.3% (95% CI:39.7–53.0) and 34.4% (95% CI:28.3–41.0). Prevalence of less than clinical threshold symptoms of delirium evaluated by the CAM-ICU-7 (score: 1–2) and ICDSC (score: 1–3) were 30.3% (95%CI:24.5–36.7) and 50.9% (95%CI:44.3–57.6). The CAM-ICU-7 and ICDSC had significant positive correlation (0.58, p<0.001). Agreement between the tools as measures of delirium was moderate (kappa = 0.51) and as measures of less than clinical threshold symptoms of delirium was fair (kappa = 0.21). Less than clinical threshold symptoms of delirium identified by the ICDSC, not CAM-ICU-7, were associated with prolonged length of ICU stay (≥7 days) in patients <65 years of age [Odds Ratio (OR) 9.2, 95% CI:2.5–34.0] and mechanical ventilation (receipt: OR 2.8, 95% CI:1.3–6.4; ≥96 hours: OR 6.6, 95% CI:1.9–22.9), when compared to patients with no delirium.

Conclusions

The CAM-ICU-7 and ICDSC are measures of the spectrum of delirium severity that are closely correlated. Less than clinical threshold symptoms of delirium measure by the ICDSC is a better predictor of outcomes, when compared with the CAM-ICU-7.

Long-Term Non-invasive Ventilation in Children: Current Use, Indications, and Contraindications

This review focuses on the delivery of non-invasive ventilation-i.e., intermittent positive-pressure ventilation-in children lasting more than 3 months. Several recent reviews have brought to light a dramatic escalation in the use of long-term non-invasive ventilation in children over the last 30 years. This is due both to the growing number of children receiving care for complex and severe diseases necessitating respiratory support and to the availability of LT-NIV equipment that can be used at home. While significant gaps in availability persist for smaller children and especially infants, home LT-NIV for children with chronic respiratory insufficiency has improved their quality of life and decreased the overall cost of care. While long-term NIV is usually delivered during sleep, it can also be delivered 24 h a day in selected patients. Close collaboration between the hospital complex-care team, the home LT-NIV program, and family caregivers is of the utmost importance for successful home LT-NIV. Long-term NIV is indicated for respiratory disorders responsible for chronic alveolar hypoventilation, with the aim to increase life expectancy and maximize quality of life. LT-NIV is considered for conditions that affect respiratory-muscle performance (alterations in central respiratory drive or neuromuscular function) and/or impose an excessive respiratory load (airway obstruction, lung disease, or chest-wall anomalies). Relative contraindications for LT-NIV include the inability of the local medical infrastructure to support home LT-NIV and poor motivation or inability of the patient/caregivers to cooperate or understand recommendations. Anatomic abnormalities that interfere with interface fitting, inability to protect the lower airways due to excessive airway secretions and/or severely impaired swallowing, or failure of LT-NIV to support respiration can lead to considering invasive ventilation via tracheostomy. Of note, providing home LT-NIV during the COVID 19 pandemic has become more challenging. This is due both to the disruption of medical systems and the fear of contaminating care providers and family with aerosols generated by a patient positive for SARS-CoV-2 during NIV. Delay in initiating LT-NIV, decreased frequency of home visits by the home ventilation program, and decreased availability of polysomnography and oximetry/transcutaneous PCO2 monitoring are observed. Teleconsultations and telemonitoring are being developed to mitigate these challenges.

Safety of the endotracheal tube for prolonged mechanical ventilation

RATIONALE

The endotracheal tube (ETT) is the most common route for invasive mechanical ventilation (MV) yet controversy attends its long-term safety.

OBJECTIVE

Assess the safety of ETT compared with tracheostomy tube (TT) for MV support in the intensive care unit (ICU).

METHODS

Retrospective analysis of five year national dataset of 128,977 adults (age > 15-years) admitted for MV therapy with tracheostomy tube (TT; n = 4772) or without (ETT; n = 124,204), excluding those with neurological diagnoses or likely to require a surgical airway (n = 27,466), in 93 public health service ICUs across Australia, between July 2013-June 2018.

MEASUREMENTS

Hospital survival (including liberation from MV) for ETT Group compared with TT Group using a probit regression model adjusted for confounding using fixed, endogenous and non-random treatment assignment covariates, and their interactions; analysed and plotted as marginal effects by duration of MV.

RESULTS

Median duration of MV was 2 (IQR =1-4) days, predominantly via ETT (124,205; 96.3%), and 21,620 (16.7%) died. Temporal trend for ETT increased (OR = 1.06 per year, 95%CI =1.03-1.10) compared to TT, even for prolonged (>3 weeks) MV (38.1%). Higher risk-adjusted mortality was associated with longer duration of MV and after 9 days of MV with retention of ETT compared with TT - average (mortality) treatment effect 12.6% (95%CI =10.7-14.5). The latter was not significant after 30 days of MV.

CONCLUSIONS

The safety of ETT compared with TT beyond short-term MV (≤9-days) is uncertain and requires prospective evaluation with additional data.

Ventilation parameters and early graft function in double lung transplantation

BACKGROUND

Currently, the primary graft dysfunction (PGD) score is used to measure allograft function in the early post-lung transplant period. Although PGD grades at later time points (T48 hours and T72 hours) are useful to predict mid- and long-term outcomes, their predictive value is less relevant within the first 24 hours after transplantation. This study aimed to evaluate the capability of PGD grades to predict prolonged mechanical ventilation (MV) and compare it with a model derived from ventilation parameters measured on arrival at the intensive care unit (ICU).

METHODS

A retrospective single-center analysis of 422 double lung transplantations (LTxs) was performed. PGD was assessed 2 hours after arrival at ICU, and grades were associated with length of MV (LMV). In addition, peak inspiratory pressure (P_IP), ratio of the arterial partial pressure of oxygen to fraction of inspired oxygen (P/F ratio), and dynamic compliance (cDyn) were collected, and a logistic regression model was created. The predictive capability for prolonged MV was calculated for both (the PGD score and the model). In a second step, the created model was externally validated using a prospective, international multicenter cohort including 102 patients from the lung transplant centers of Vienna, Toronto, and Budapest.

RESULTS

In the retrospective cohort, a high percentage of extubated patients was reported at 24 hours (35.1%), 48 hours (68.0%), and 72 hours (80.3%) after transplantation. At T0 (time point defined as 2 hours after arrival at the ICU), patients with PGD grade 0 had a shorter LMV with a median of 26 hours (interquartile range [IQR]: 16-47 hours) than those with PGD grade 1 (median: 42 hours, IQR: 27-50 hours), PGD grade 2 (median: 37.5 hours, IQR: 15.5-78.5 hours), and PGD grade 3 (median: 46 hours, IQR: 27-86 hours). However, IQRs largely overlapped for all grades, and the value of PGD to predict prolonged MV was poor. A total of 3 ventilation parameters (P_IP, cDyn, and P/F ratio), determined at T0, were chosen on the basis of clinical reasoning. A logistic regression model including these parameters predicted prolonged MV (>72 hours) with an optimism-corrected area under the curve (AUC) of 0.727. In the prospective validation cohort, the model proved to be stable and achieved an AUC of 0.679.

CONCLUSIONS

The prediction model reported in this study combines 3 easily obtainable variables. It can be employed immediately after LTx to quantify the risk of prolonged MV, an important early outcome parameter.

Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach

OBJECTIVES

We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).

METHODS

This study included TBI patients who were hospitalized in a level 1 trauma center between January 2014 and February 2019. Data were analyzed for all adult patients who received mechanical ventilation following TBI with abbreviated injury severity (AIS) score for the head region of ≥ 3. This study designed three sets of machine learning models: set A defined PMV to be greater than 7 days, set B (PMV > 10 days) and set C (PMV >14 days) to determine the optimal model for deployment. Patients' demographics, injury characteristics and CT findings were used as predictors. Logistic regression (LR), Artificial neural networks (ANN) Support vector machines (SVM), Random Forest (RF) and C.5 Decision Tree (C.5 DT) were used to predict the PMV.

RESULTS

The number of eligible patients that were included in the study were 674, 643 and 622 patients in sets A, B and C respectively. In set A, LR achieved the optimal performance with accuracy 0.75 and Area under the curve (AUC) 0.83. SVM achieved the optimal performance among other models in sets B with accuracy/AUC of 0.79/0.84 respectively. ANNs achieved the optimal performance in set C with accuracy/AUC of 0.76/0.72 respectively. Machine learning models in set B demonstrated more stable performance with higher prediction success and discrimination power.

CONCLUSION

This study not only provides evidence that machine learning methods outperform the traditional multivariate analytical methods, but also provides a perspective to reach a consensual definition of PMV.

Antimicrobial polymer modifications to reduce microbial bioburden on endotracheal tubes and ventilator associated pneumonia

Hospital associated infections (HAIs), infections acquired by patients during care in a hospital, remain a prevalent issue in the healthcare field. These infections often occur with the use of indwelling medical devices, such as endotracheal tubes (ETTs), that can result in ventilator-associated pneumonia (VAP). When examining the various routes of infection, VAP is associated with the highest incidence, rate of morbidity, and economic burden. Although ETTs are essential for the survival of patients requiring mechanical ventilation, their use comes with complications. The presence of an ETT in the airway impairs physiological host defense mechanisms for clearance of pathogens and provides a platform for oropharynx microorganism transport to the sterile tracheobronchial network. Antibiotics are administered to treat lower respiratory infections; however, they are not always effective and consequently can result in increased antibiotic resistance. Prophylactic approaches by altering the surface of ETTs to prevent the establishment and growth of bacteria have exhibited promising results. In addition, passive surface modifications that prevent bacterial establishment and growth, or active coatings that possess a bactericidal effect have also proven effective. In this review we aim to highlight the importance of preventing biofilm establishment on indwelling medical devices, focusing on ETTs. We will investigate successful antimicrobial modifications to ETTs and the future avenues that will ultimately decrease HAIs and improve patient care. STATEMENT OF SIGNIFICANCE: Infections that occur with indwelling medicals devices remain a constant concern in the medical field and can result in hospital-acquired infections. Specifically, ventilator associated pneumonia (VAP) occurs with the use of an endotracheal tube (ETT). Infections often require use of antibiotics and can result in patient mortality. Our review includes a summary of the recent collective work of antimicrobial ETT modifications and potential avenues for further investigations in an effort to reduce VAP associated with ETTs. Polymer modifications with antibacterial nature have been developed and tested; however, a focus on ETTs is lacking and clinical availability of new antimicrobial ETT devices is limited. Our collective work shows the successful and prospective applications to the surfaces of ETTs that can support researchers and physicians to create safer medical devices.

Is Tracheostomy Insertion an Indication for Gastrostomy Insertion?

The aim of the study was to determine the frequency of surgical patients who undergo tracheostomy and gastrostomy insertion during the same hospitalization. Secondary outcomes included ICU and hospital length of stay (LOS) for patients who underwent concomitant tracheostomy and gastrostomy versus those who did not. This study is a retrospective review of trauma and acute care surgery (ACS) patients between 2006 and 2015 who underwent tracheostomy. Patients who also underwent open gastrostomy or percutaneous endoscopic gastrostomy during the same hospitalization were identified. Data collected included patient demographics, hospital LOS, ICU LOS, and timing of tracheostomy and gastrostomy. Three hundred one trauma and ACS patients who underwent tracheostomy were identified. Seventy- three per cent of tracheostomy patients underwent gastrostomy during the same admission. Of patients who had both tubes inserted, 79 per cent (175) underwent gastrostomy with tracheostomy as the concomitant procedure, whereas 21 per cent received gastrostomy as a delayed procedure. Median hospital LOS for patients who underwent concomitant procedures was 25 days versus 22 days for those who had delayed or no gastrostomy ( P = 0.24). Eighty-four per cent of patients who had tracheostomy for prolonged or anticipated prolonged mechanical ventilation were receiving tube feeds at discharge, and 78 per cent had not been advanced to an oral diet at discharge. Most trauma/ACS patients who undergo tracheostomy also undergo gastrostomy during their hospitalization. Concomitant gastrostomy is not associated with a decrease in hospital LOS; however, most patients who undergo tracheostomy for prolonged mechanical ventilation are discharged receiving enteral nutrition. These patients may benefit from concomitant ICU gastrostomy as a way to improve efficiency and cost-saving.

Treatment Outcomes of Stenotrophomonas maltophilia Bacteremia in Critically Ill Children: A Multicenter Experience

OBJECTIVES

Stenotrophomonas maltophilia is a gram-negative opportunistic bacterium that may cause a myriad of clinical diseases in immunocompromised individuals. We aimed to describe the clinical characteristics, risk factors, mortality, and treatment of S. maltophilia bacteremia in critically ill children, a topic on which data are sparse.

DESIGN

A multicenter observational retrospective study in which medical charts of critically ill children with S. maltophilia bacteremia were reviewed between 2012 and 2017.

SETTING

Data were collected from each of the four largest PICUs nationwide, allocated in tertiary medical centers to which children with complex conditions are referred regularly.

PATIENTS

A total of 68 suitable cases of S. maltophilia bacteremia were retrieved and reviewed.

MEASUREMENTS AND MAIN RESULTS

The total occurrence rate of S. maltophilia isolation had increased significantly during the study period (r = 0.65; p = 0.02). The crude mortality was 42%, and the attributed mortality was 18%. Significant risk factors for mortality were a longer length of hospital stay prior to infection (33 d in nonsurvivors vs 28 in survivors; p = 0.03), a nosocomial source of infection (p = 0.02), presentation with septic shock (p < 0.001), and treatment with chemotherapy (p = 0.007) or carbapenem antibiotics (p = 0.05) prior to culture retrieval. On multivariate analysis, septic shock (odds ratio, 14.6; 95% CI, 1.45-147.05; p = 0.023) and being treated with chemotherapy prior to infection (odds ratio, 5.2; 95% CI, 1.59-17.19; p = 0.006)] were associated with mortality. The combination of ciprofloxacin, trimethoprim-sulfamethoxazole, and minocycline resulted in the longest survival time (p < 0.01).

CONCLUSIONS

The significant attributed mortality associated with S. maltophilia bacteremia in critically ill children calls for an aggressive therapeutic approach. The findings of this investigation favor a combination of trimethoprim-sulfamethoxazole, ciprofloxacin, and minocycline.

Patient and Family Centered Actionable Processes of Care and Performance Measures for Persistent and Chronic Critical Illness: A Systematic Review

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To identify actionable processes of care, quality indicators, or performance measures and their evidence base relevant to patients with persistent or chronic critical illness and their family members including themes relating to patient/family experience.

The patient needing prolonged mechanical ventilation: a narrative review

BACKGROUND

Progress in management has improved hospital mortality of patients admitted to the intensive care units, but also the prevalence of those patients needing weaning from prolonged mechanical ventilation, and of ventilator assisted individuals. The result is a number of difficult clinical and organizational problems for patients, caregivers and health services, as well as high human and financial resources consumption, despite poor long-term outcomes. An effort should be made to improve the management of these patients. This narrative review summarizes the main concepts in this field.

MAIN BODY

There is great variability in terminology and definitions of prolonged mechanical ventilation.There have been several recent developments in the field of prolonged weaning: ventilatory strategies, use of protocols, early mobilisation and physiotherapy, specialised weaning units.There are few published data on discharge home rates, need of home mechanical ventilation, or long-term survival of these patients.Whether artificial nutritional support improves the outcome for these chronic critically ill patients, is unclear and controversial how these data are reported on the optimal time of initiation of parenteral vs enteral nutrition.There is no consensus on time of tracheostomy or decannulation. Despite several individualized, non-comparative and non-validated decannulation protocols exist, universally accepted protocols are lacking as well as randomised controlled trials on this critical issue. End of life decisions should result from appropriate communication among professionals, patients and surrogates and national legislations should give clear indications.

CONCLUSION

Present medical training of clinicians and locations like traditional intensive care units do not appear enough to face the dramatic problems posed by these patients. The solutions cannot be reserved to professionals but must involve also families and all other stakeholders. Large multicentric, multinational studies on several aspects of management are needed.