Mechanical Ventilation In Patients Research Articles

Comparison of intravenous ketamine and fentanyl sedation in duration of mechanical ventilation in intensive care unit

Background and aims: To compare the duration of mechanical ventilation in patients receiving ketamine compared to fentanyl for sedation in mechanically ventilated patients in intensive care unit. Methods: One hundred and six patients requiring mechanical ventilation were randomized to receive continuous intravenous infusion of either ketamine (1 mg/kg bolus followed by 0.4 to 0.8 mg/kg/h) or fentanyl (1mcg/kg bolus followed by 0.3-0.5 mcg/kg/min) with the dose titrated to achieve Richmond Agitation Sedation Scale (RASS) score of 0 to -1 and Behavioral Pain Scale (BPS) score of 3 to 7. The primary outcome was the duration of mechanical ventilation. Secondary outcomes were sedation score, analgesia score and need of vasopressors. Results: The mean duration of ventilation was 2.5±0.6 days and 2.2±1.0 days (p=0.1) in patients receiving ketamine and fentanyl respectively. More patients required vasopressors: 27 (50.9%) vs 9 (17%) in patients receiving fentanyl compared to ketamine (p<0.05). There were no significant changes in hemodynamic variables after the initiation of the study drug in both the groups. Infusion was discontinued for adverse effects in seven (13%) patients in both the groups. Conclusion: When compared with fentanyl, continuous ketamine infusion was tolerated similarly by critically ill adults, with similar duration of mechanical ventilation. Ketamine sedation was associated with decreased requirement for vasopressors.

Tracheostomy in Critically Ill Covid 19 Patients: A Review of Outcome

The novel human coronavirus disease (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which can result in serious respiratory illness requiring endotracheal intubation, mechanical ventilation, and tracheostomy. Resources on the indication, ideal timing and outcomes for tracheostomy in COVID-19 patients are still limited. Tracheostomy is an aerosol generating procedure with risk of transmission of airborne disease to healthcare workers (HCWs)1. However, tracheostomy aids in ventilation liberation2 for mechanical ventilated patient in general but resources on overall outcome for tracheostomy in COVID-19 patients are not well reported. Thus, a trained surgeon, adequate safety equipment and measures are essential to reduce timing of exposure through this aerosol-generating procedures and reduce risk of complications.

Detection of tongue edema caused by endotracheal intubation tube in ICU patients by ultrasonography: a prospective, observational, clinical study.

We aimed to determine the tongue edema that may develop due to the pressure exerted by the endotracheal intubation (ETI) tube on the tongue during the follow-up period of mechanical ventilation in patients intubated in the intensive care unit (ICU) by submental ultrasonography (USG). Also, we aimed to investigate the effect of tongue edema on the oxygen saturation values (SpO2) measured two h after extubation. One hundred patients aged 18-65 years, who were followed up with mechanical ventilation in the ICU from the 0th day of intubation, were included. Patients (n = 57) who were followed up on mechanical ventilation for four days or longer after ETI were included in the study group. Those who were followed up on mechanical ventilation for three days or less after endotracheal intubation and were extubated during this period were included in the control group (n = 43). The tongue cross-sectional areas (TSAs) of patients in both groups were measured twice with submental USG. The first measurement (TSA1) was performed on the 0th day of ETI in all patients in both groups. The second measurement (TSA2) was performed on the 4th day of ETI in the study group and just before extubation in the control group. The difference between TSA2 and TSA1 was defined as tongue edema. Also, the effect of tongue edema on the oxygen saturation levels measured at the 2nd h after extubation of the patients in the control group was investigated. The tongue edema was more prevalent in the study group (p < 0.01). A significant negative correlation was found between the SpO2 levels two hours after extubation and the increase in the mean TSA values indicating tongue edema (p < 0.01). The oxygen saturations of the patients with tongue edema were 4% lower than those without tongue edema. Tongue edema may develop due to the long-term application of pressure of the ETI tube on the tongue and may impair oxygenation after extubation. NCT05249738.

Risk factors for COVID-19-associated pulmonary aspergillosis: a systematic review and meta-analysis

COVID-19-associated pulmonary aspergillosis (CAPA) has been reported to be an emerging and potentially fatal complication of severe COVID-19. However, risk factors for CAPA have not been systematically addressed to date. In this systematic review and meta-analysis to identify factors associated with CAPA, we comprehensively searched five medical databases: Ovid MEDLINE; Ovid Embase; the Cochrane Database of Systematic Reviews; the Cochrane Central Register of Controlled Trials; and the WHO COVID-19 Database. All case-control and cohort studies in adults (aged >18 years) that described at least six cases of CAPA and evaluated any risk factors for CAPA, published from Dec 1, 2019, to July 27, 2023, were screened and assessed for inclusion. Only studies with a control population of COVID-19-positive individuals without aspergillosis were included. Two reviewers independently screened search results and extracted outcome data as summary estimates from eligible studies. The primary outcome was to identify the factors associated with CAPA. Meta-analysis was done with random-effects models, with use of the Mantel-Haenszel method to assess dichotomous outcomes as potential risk factors, or the inverse variance method to assess continuous variables for potential association with CAPA. Publication bias was assessed with funnel plots for factors associated with CAPA. The study is registered with PROSPERO, CRD42022334405. Of 3561 records identified, 27 articles were included in the meta-analysis. 6848 patients with COVID-19 were included, of whom 1324 (19·3%) were diagnosed with CAPA. Diagnosis rates of CAPA ranged from 2·5% (14 of 566 patients) to 47·2% (58 of 123). We identified eight risk factors for CAPA. These factors included pre-existing comorbidities of chronic liver disease (odds ratio [OR] 2·70 [95% CI 1·21-6·04], p=0·02; I2=53%), haematological malignancies (OR 2·47 [1·27-4·83], p=0·008; I2=50%), chronic obstructive pulmonary disease (OR 2·00 [1·42-2·83], p<0·0001; I2=26%), and cerebrovascular disease (OR 1·31 [1·01-1·71], p=0·05; I2=46%). Use of invasive mechanical ventilation (OR 2·83; 95% CI 1·88-4·24; p<0·0001; I2=69%), use of renal replacement therapy (OR 2·26 [1·76-2·90], p<0·0001; I2=14%), treatment of COVID-19 with interleukin-6 inhibitors (OR 2·88 [1·52-5·43], p=0·001; I2=89%), and treatment of COVID-19 with corticosteroids (OR 1·88 [1·28-2·77], p=0·001; I2=66%) were also associated with CAPA. Patients with CAPA were typically older than those without CAPA (mean age 66·6 years [SD 3·6] vs 63·5 years [5·3]; mean difference 2·90 [1·48-4·33], p<0·0001; I2=86%). The duration of mechanical ventilation in patients with CAPA was longer than in those without CAPA (n=7 studies; mean duration 19·3 days [8·9] vs 13·5 days [6·8]; mean difference 5·53 days [1·30-9·77], p=0·01; I2=88%). In post-hoc analysis, patients with CAPA had higher all-cause mortality than those without CAPA (n=20 studies; OR 2·65 [2·04-3·45], p<0·0001; I2=51%). The identified risk factors for CAPA could eventually be addressed with targeted antifungal prophylaxis in patients with severe COVID-19. None.

Clinical characteristics of pneumothorax and pneumomediastinum in mechanical ventilated patients with coronavirus disease 2019: a case series

BackgroundPneumothorax (PTX) and pneumomediastinum (PM) have been reported as potential complications in patients with coronavirus disease 2019 (COVID-19); however, their risk factors and etiology remain unknown. Herein, we investigated the clinical characteristics of mechanically ventilated patients with COVID-19 with PTX or PM.MethodsWe examined patients with severe COVID-19 requiring mechanical ventilation who were admitted to the intensive care unit of a tertiary-level emergency medical center in Tokyo, Japan between April 1, 2020. and October 31, 2021. We collected and analyzed the clinical characteristics of the patients who presented with either PTX or PM during mechanical ventilation.ResultsDuring the study period, a total of 165 patients required mechanical ventilation, and 15 patients with PTX/PM during mechanical ventilation were selected. Three patients with obvious causes were excluded, and the remaining 12 patients were analyzed (7.3%). The mortality rate in these patients was as high as 50%, demonstrating the difficulty of treatment in the presence of PTX/PM. PTX/PM occurred 14.5 days after intubation. A peak pressure of > 30 cmH2O was only apparent in one patient, suggesting that high positive pressure ventilation may be less involved than mentioned in the literature. In addition, the inspiratory effort was not strong in our group of patients. (P0.1 was 2.1 cm H2O [1.0–3.8]).ConclusionVarious factors are associated with the development of PTX/PM in patients on mechanical ventilation for COVID-19. We did not find a strong correlation between PTM/PM and barotrauma or strong inspiratory efforts, which have been identified as potential causes in previous studies.

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.

A novel nomogram to predict the risk of requiring mechanical ventilation in patients with sepsis within 48 hours of admission: a retrospective analysis.

To establish a model that can predict the risk of requiring mechanical ventilation within 48 h after admission in patients with sepsis. Data for patients with sepsis admitted to Dongyang People's Hospital from October 2011 to October 2023 were collected and divided into a modeling group and a validation group. Independent risk factors in the modeling group were analyzed, and a corresponding predictive nomogram was established. The model was evaluated for discriminative power (the area under the curve of the receiver operating characteristic curve, AUC), calibration degree (Hosmer-Lemeshow test), and clinical benefit (decision curve analysis, DCA). Models based on the Sequential Organ Failure Assessment (SOFA) scores, the National Early Warning Score (NEWS) scores and multiple machine learning methods were also established. The independent factors related to the risk of requiring mechanical ventilation in patients with sepsis within 48 h included lactic acid, pro-brain natriuretic peptide (PRO-BNP), and albumin levels, as well as prothrombin time, the presence of lung infection, and D-dimer levels. The AUC values of nomogram model in the modeling group and validation group were 0.820 and 0.837, respectively. The nomogram model had a good fit and clinical value. The AUC values of the models constructed using SOFA scores and NEWSs were significantly lower than those of the nomogram (P < 0.01). The AUC value of the integrated machine-learning model for the validation group was 0.849, comparable to that of the nomogram model (P = 0.791). The established nomogram could effectively predict the risk of requiring mechanical ventilation within 48 h of admission by patients with sepsis. Thus, the model can be used for the treatment and management of sepsis.

Evaluation of the effectiveness of fresh frozen plasma transfusion as adjuvant treatment in acute organophosphate-poisoned patients: A randomized clinical trial.

Organophosphorus (OP) poisoning is a significant cause of morbidity and mortality worldwide. Recent research has explored new approaches to improving treatment options, which present several challenges. This study aimed to evaluate the role of fresh frozen plasma (FFP) as an adjunctive therapy for acute OP intoxication. A prospective single-blinded randomized clinical trial was conducted on patients of both sexes admitted to the Intensive Care Unit (ICU) of the Poison Control Center at Ain Shams University Hospital (PCC-ASUH) with acute OP toxicity during the period from the beginning of August 2022 to the end of July 2023. According to the Peradeniya score, Group I consisted of 48 patients (52%) with moderate OP poisoning, and Group II consisted of 44 patients (48%) with severe OP poisoning. Patients in the moderate group were assigned to receive either standard treatment (Group Ia, n = 24) or standard treatment plus FFP (Group Ib, n = 24). In addition, patients in the severe group were assigned to receive either standard treatment (Group IIa, n = 22) or standard treatment plus FFP (Group IIb, n = 22). A total of 46 patients received FFP transfusion. The authors demonstrated that the early use of a total of nine packs of FFP (250mL each) over three consecutive days significantly reduced the total doses of atropine and oximes, the total hospitalization period, and the requirement for mechanical ventilation in patients with OP poisoning, both in the moderate and severe groups.

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.

The period of hospitalization and use of mechanical ventilation in patients with COVID-19 increases the occurrence of non-infectious incidents: a retrospective observational study

The period of hospitalization and use of mechanical ventilation in patients with COVID-19 increases the occurrence of non-infectious incidents: a retrospective observational study

Acceptability of the Long-Term In-Home Ventilator Engagement virtual intervention for home mechanical ventilation patients during the COVID-19 pandemic: A qualitative evaluation.

Clinical management of ventilator-assisted individuals (VAIs) was challenged by social distancing rules during the COVID-19 pandemic. In May 2020, the Long-Term In-Home Ventilator Engagement (LIVE) Program was launched in Ontario, Canada to provide intensive digital care case management to VAIs. The purpose of this qualitative study was to explore the acceptability of the LIVE Program hosted via a digital platform during the COVID-19 pandemic from diverse perspectives. We conducted a qualitative descriptive study (May 2020-April 2021) comprising semi-structured interviews with participants from eight home ventilation specialty centers in Ontario, Canada. We purposively recruited patients, family caregivers, and providers enrolled in LIVE. Content analysis and the theoretical concepts of acceptability, feasibility, and appropriateness were used to interpret findings. A total of 40 individuals (2 VAIs, 18 family caregivers, 20 healthcare providers) participated. Participants described LIVE as acceptable as it addressed a longstanding imperative to improve care access, ease of use, and training provided; feasible for triaging problems and sharing information; and appropriate for timeliness of provider responses, workflows, and perceived value. Negative perceptions of acceptability among healthcare providers concerned digital workload and fit with existing clinical workflows. Perceived benefits accorded to LIVE included enhanced physical and psychological safety in the home, patient-provider relations, and VAI engagement in their own care. Study findings identify factors influencing the LIVE Program's acceptability by patients, family caregivers, and healthcare providers during pandemic conditions including enhanced access to care, ease of case management triage, and VAI safety. Findings may inform the implementation of digital health services to VAIs in non-pandemic circumstances.

Outcome prediction for adult mechanically ventilated patients using machine learning models and comparison with conventional statistical methods: A single-centre retrospective study

In this retrospective single-centre study spanning five years (2016–2021) and involving 2368 adult Intensive Care Unit (ICU) patients requiring over 4 h of mechanical ventilation (MV) in a tertiary care hospital, we investigated the feasibility and accuracy of using machine learning (ML) models in predicting outcomes post-ICU discharge compared to conventional statistical methods (CSM). The study aimed to identify associated risk factors impacting these outcomes. Poor outcomes, defined as ICU readmission, mortality, and prolonged hospital stays, affected 40.2 % of the discharged MV patients. The Extreme Gradient Boost (XGBoost) ML model showed superior performance compared to CSM (Area under the receiver operating characteristic curve: 0.693 vs. 0.667; p-value = 0.03). At 95 % specificity, XGBoost displayed enhanced sensitivity (30.6 % vs. 23.8 %) compared to CSM. Risk factors such as Glasgow Coma Score (GCS) and GCS best motor score at ICU discharge, MV duration, ICU length of stay, and Charlson Comorbidity Index were identified. While both ML and CSM exhibited moderate accuracy, the study suggests ML algorithms have the potential for better predictive capabilities and individual risk factor identification, potentially aiding in the improvement of patient outcomes by identifying high-risk patients requiring closer monitoring. Further validation in larger studies is necessary, but the study underscores the potential for real-time application of ML algorithms developed from the increasing availability of electronic medical records (EMR).

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.

A quasi-experimental study of a bundled diagnostic stewardship intervention for ventilator-associated pneumonia

ObjectivesDiagnostic error in the use of respiratory cultures for ventilator-associated pneumonia (VAP) fuels misdiagnosis and antibiotic overuse within intensive care units. In this prospective quasi-experimental study (NCT05176353), we aimed to evaluate the safety, feasibility, and efficacy of a novel VAP-specific bundled diagnostic stewardship intervention (VAP-DSI) to mitigate VAP over-diagnosis/overtreatment. MethodsWe developed and implemented a VAP-DSI using an interruptive clinical decision support tool and modifications to clinical laboratory workflows. Interventions included gatekeeping access to respiratory culture ordering, preferential use of non-bronchoscopic bronchoalveolar lavage for culture collection, and suppression of culture results for samples with minimal alveolar neutrophilia. Rates of adverse safety outcomes, positive respiratory cultures, and antimicrobial utilization were compared between mechanically ventilated patients (MVPs) in the 1-year post-intervention study cohort (2022–2023) and 5-year pre-intervention MVP controls (2017–2022). ResultsVAP-DSI implementation did not associate with increases in adverse safety outcomes but did associate with a 20% rate reduction in positive respiratory cultures per 1000 MVP days (pre-intervention rate 127 [95% CI: 122–131], post-intervention rate 102 [95% CI: 92–112], p < 0.01). Significant reductions in broad-spectrum antibiotic days of therapy per 1000 MVP days were noted after VAP-DSI implementation (pre-intervention rate 1199 [95% CI: 1177–1205], post-intervention rate 1149 [95% CI: 1116–1184], p 0.03). DiscussionImplementation of a VAP-DSI was safe and associated with significant reductions in rates of positive respiratory cultures and broad-spectrum antimicrobial use. This innovative trial of a VAP-DSI represents a novel avenue for intensive care unit antimicrobial stewardship. Multicentre trials of VAP-DSIs are warranted.

The effects of remdesivir on mortality and the requirement for mechanical ventilation in patients with COVID-19: a systematic review stratified by disease severity.

The effectiveness of remdesivir treatment in reducing mortality and the requirement for mechanical ventilation (MV) remains uncertain, as randomized controlled trials (RCTs) have produced conflicting results. We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and other data resources to find RCTs published prior to April 10, 2023. The selection of studies, assessment of risk of bias, and meta-analysis were conducted according to PRISMA guidelines. The primary outcomes were all-cause mortality and the need to initiate MV. A total of 5,068 articles were screened, from eight RCTs comprising 11,945 patients. The meta-analysis found that, compared to standard care or placebo, remdesivir treatment provided no significant all-cause mortality benefit (pooled risk ratio [RR], 0.93; 95% confidence interval [CI], 0.85-1.02; 8 studies; high certainty evidence), while subgroup analyses revealed a trend towards reduced mortality among patients requiring oxygen but not MV (pooled RR, 0.88; 95% CI, 0.77-1.00; 6 studies; I2 = 4%). The need to initiate MV (pooled RR, 0.74; 95% CI, 0.59-0.94; 7 studies; moderate certainty evidence) in remdesivir-treated patients was also reduced compared to controls. Remdesivir significantly increased clinical improvement and discharge and significantly reduced serious adverse events. In this systematic review and meta-analysis of RCTs, it was found that remdesivir treatment did not show a substantial decrease in the risk of mortality. However, it was linked to a reduction in the necessity for additional ventilatory support, suggesting remdesivir could be beneficial for COVID-19 patients, particularly those who are not on MV.

Pulmonary response prediction through personalized basis functions in a virtual patient model

Background and ObjectiveRecruitment maneuvers with subsequent positive-end-expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing alveoli collapse. However, determining a safe, effective, and patient-specific PEEP is not standardized, and this more optimal PEEP level evolves with patient condition, requiring personalised monitoring and care approaches to maintain optimal ventilation settings. MethodsThis research examines 3 physiologically relevant basis function sets (exponential, parabolic, cumulative) to enable better prediction of elastance evolution for a virtual patient or digital twin model of MV lung mechanics, including novel elements to model and predict distension elastance. Prediction accuracy and robustness are validated against recruitment maneuver data from 18 volume-controlled ventilation (VCV) patients at 7 different baseline PEEP levels (0 to 12 cmH2O) and 14 pressure-controlled ventilation (PCV) patients at 4 different baseline PEEP levels (6 to 12 cmH2O), yielding 623 and 294 prediction cases, respectively. Predictions were made up to 12 cmH2O of added PEEP ahead, covering 6 × 2 cmH2O PEEP steps. ResultsThe 3 basis function sets yield median absolute peak inspiratory pressure (PIP) prediction error of 1.63 cmH2O for VCV patients, and median peak inspiratory volume (PIV) prediction error of 0.028 L for PCV patients. The exponential basis function set yields a better trade-off of overall performance across VCV and PCV prediction than parabolic and cumulative basis function sets from other studies. Comparing predicted and clinically measured distension prediction in VCV demonstrated consistent, robust high accuracy with R2 = 0.90–0.95. ConclusionsThe results demonstrate recruitment mechanics are best captured by an exponential basis function across different mechanical ventilation modes, matching physiological expectations, and accurately capture, for the first time, distension mechanics to within 5–10 % accuracy. Enabling the risk of lung injury to be predicted before changing ventilator settings. The overall outcomes significantly extend and more fully validate this digital twin or virtual mechanical ventilation patient model.

Pulmonary expansion manoeuvres compared to usual care on ventilatory mechanics, oxygenation, length of mechanical ventilation and hospital stay, extubation, atelectasis, and mortality of patients in mechanical ventilation: A randomized clinical trial

Pulmonary expansion manoeuvres are therapeutic techniques used to prevent and reverse atelectasis; however, no randomized controlled trials have provided evidence supporting the use of this intervention among individuals on mechanical ventilation. Objective: To evaluate the effects of chest compression-decompression and chest block manoeuvres compared to usual care among patients on mechanical ventilation. Methods: The current study was a randomized clinical trial of adult subjects on mechanical ventilation for 12 to 48 hours. The control group received usual care (passive or active mobilization, manoeuvres for airway clearance and tracheal aspiration). The intervention group received usual care plus two lung expansion manoeuvres, i.e., chest decompression and chest block, while remaining on mechanical ventilation. Assessments were performed before and after usual care, immediately after the intervention and 30 minutes after the intervention. The primary outcome was static compliance. The secondary outcomes were the incidence of atelectasis, dynamic compliance, airway resistance, driving pressure, oxygenation, duration of mechanical ventilation, extubation success, length of hospital and ICU stay, and mortality. Results: Fifty-one participants (67±15 years old, 53% men, 26 in the control group and 25 in the intervention group) were evaluated. No differences in static compliance were observed between groups (intervention minus control) before and after expansion manoeuvres [3.64 ml/cmH2O (95% CI: -0.36–7.65, p = 0.074)]. Peripheral oxygen saturation differed between groups before and after expansion manoeuvres, with more favourable outcome observed in the control group [-1.04% (95% CI: -1.94 –-0.14), p = 0.027]. No differences were found in other outcomes. Conclusion: Chest compression-decompression and chest block manoeuvres did not improve ventilatory mechanics, the incidence of atelectasis, oxygenation, the duration of mechanical ventilation, the length of stay in the ICU and hospital, or mortality in individuals on mechanical ventilation. The findings of this study can be valuable for guiding evidence-based clinical practice and developing a therapeutic approach that provides real benefits for this population.

Ventilatory Management of Patients with Acute Respiratory Distress Syndrome Due to SARS-CoV-2.

The emergence of the new SARS-CoV-2 in December 2019 caused a worldwide pandemic of the resultant disease, COVID-19. There was a massive surge in admissions to intensive care units (ICU), notably of patients with hypoxaemic acute respiratory failure. In these patients, optimal oxygen therapy was crucial. In this article, we discuss tracheal intubation to provide mechanical ventilation in patients with hypoxaemic acute respiratory failure due to SARS-CoV-2. We first describe the pathophysiology of respiratory anomalies leading to acute respiratory distress syndrome (ARDS) due to infection with SARS-CoV-2, and then briefly review management, focusing particularly on the ventilation strategy. Overall, the ventilatory management of ARDS due to SARS-CoV-2 infection is largely the same as that applied in ARDS from other causes, and lung-protective ventilation is recommended. The difference lies in the initial clinical presentation, with profound hypoxaemia often observed concomitantly with near-normal pulmonary compliance.

Comparing Pain Intensity of Two Instruments in Predicting the Outcomes of Patients Under Mechanical Ventilation Admitted to Intensive Care Units

Introduction and Purpose: Pain assessment in the intensive care unit (ICU) is a main problem in mechanically ventilated patients (MVPs) as they are not able to self-report pain, hence exposing them to the risk of inadequate pain management that leads to unfavorable consequences. This research aimed to determine and compare pain intensity scores of two scales in predicting the hospitalization consequences of MVPs in ICUs. Methods: The analytical-longitudinal study was carried out in ICUs in 2020. Pain intensity was evaluated using observational pain scales in 60 patients who met inclusion criteria in three positions during suctioning once daily for 3 days. Results: There were significant inverse correlations between the Behavioral Pain Scale (BPS) and Critical Care Pain Observational Tool (CPOT) with the duration of hospitalization and mechanical ventilation. No significant relationships were observed between total mean scores obtained from the scales and the incidence of ventilator-associated pneumonia. There were no significant correlations between BPS and CPOT with frequencies and total dose of the prescribed opioid drug. Conclusion: The use of BPS and CPOT can be used for pain assessment and control in MVPs as a positive step towards improving their consequences.

Visualizing the dynamic mechanical power and time burden of mechanical ventilation patients: an analysis of the MIMIC-IV database

BackgroundLimiting driving pressure and mechanical power is associated with reduced mortality risk in both patients with and without acute respiratory distress syndrome. However, it is still poorly understood how the intensity of mechanical ventilation and its corresponding duration impact the risk of mortality.MethodsCritically ill patients who received mechanical ventilation were identified from the Medical Information Mart for Intensive Care (MIMIC)-IV database. A visualization method was developed by calculating the odds ratio of survival for all combinations of ventilation duration and intensity to assess the relationship between the intensity and duration of mechanical ventilation and the mortality risk.ResultsA total of 6251 patients were included. The color-coded plot demonstrates the intuitive concept that episodes of higher dynamic mechanical power can only be tolerated for shorter durations. The three fitting contour lines represent 0%, 10%, and 20% increments in the mortality risk, respectively, and exhibit an exponential pattern: higher dynamic mechanical power is associated with an increased mortality risk with shorter exposure durations.ConclusionsCumulative exposure to higher intensities and/or longer duration of mechanical ventilation is associated with worse outcomes. Considering both the intensity and duration of mechanical ventilation may help evaluate patient outcomes and guide adjustments in mechanical ventilation to minimize harmful exposure.