Mortality In Ventilated Patients Research Articles

Predictors of ICU Mortality among Mechanically Ventilated Patients: An Inception Cohort Study from a Tertiary Care Center in Addis Ababa, Ethiopia.

Mechanical ventilation is a life-saving intervention for patients with critical illnesses, yet it is associated with higher mortality in resource-constrained settings. This study intended to determine factors associated with the mortality of mechanically ventilated adult intensive care unit (ICU) patients. A one-year retrospective inception cohort study was conducted using manual chart review in ICU patients (age >13) admitted to Tikur Anbessa Specialized Hospital (Addis Ababa, Ethiopia) from September 2019 to September 2020; mechanically ventilated patients were followed to hospital discharge. Demographic, clinical, and outcome data were collected; logistic regression was used to determine mortality predictors in the ICU. A total of 160 patients were included; 85/160 (53.1%) were females and the mean (SD) age was 38.9 (16.2) years. The commonest indication for ICU admission was a respiratory problem (n = 97/160, 60.7%). ICU and hospital mortality were 60.7% (n = 97/160) and 63.1% (n = 101/160), respectively. Coma (Glasgow Coma Score <8 or 7 with an endotracheal tube (7T)) (adjusted odds ratio [AOR] 6.3, 95% confidence interval 1.19-33.00), cardiovascular diagnosis (AOR 5.05 [1.80-14.15]), and a very low serum albumin level (<2 g/dl) (AOR 4.9 [1.73-13.93]) were independent predictors of mortality (P < 0.05). The most commonly observed complication was ICU acquired infection (n = 48, 30%). ICU mortality in ventilated patients is high. Coma, a very low serum albumin level (<2 g/dl), and cardiovascular diagnosis were independent predictors of mortality. A multifaceted approach focused on developing and implementing context appropriate guidelines and improving skilled healthcare worker availability may prove effective in reducing mortality.

Development and validation of a clinical risk model to predict the hospital mortality in ventilated patients with acute respiratory distress syndrome: a population-based study

BackgroundLarge variability in mortality exists in patients of acute respiratory distress syndrome (ARDS), especially those with invasive ventilation. The aim of this study was to develop a model to predict risk of in-hospital death in ventilated ARDS patients.MethodsVentilated patients with ARDS from two public databases (MIMIC-III and eICU-CRD) were randomly divided as training cohort and internal validation cohort. Least absolute shrinkage and selection operator (LASSO) and then Logistic regression was used to construct a predictive model with demographic, clinical, laboratory, comorbidities and ventilation variables ascertained at first 24 h of ICU admission and invasive ventilation. Our model was externally validated using data from another database (MIMIC-IV).ResultsA total of 1075 adult patients from MIMIC-III and eICU were randomly divided into training cohort (70%, n = 752) and internal validation cohort (30%, n = 323). 521 patients were included from MIMIC-IV. From 176 potential predictors, 9 independent predictive factors were included in the final model. Five variables were ascertained within the first 24 h of ICU admission, including age (OR, 1.02; 95% CI: 1.01–1.03), mean of respiratory rate (OR, 1.04; 95% CI: 1.01–1.08), the maximum of INR (OR, 1.14; 95% CI: 1.03–1.31) and alveolo-arterial oxygen difference (OR, 1.002; 95% CI: 1.001–1.003) and the minimum of RDW (OR, 1.17; 95% CI: 1.09–1.27). And four variables were collected within the first 24 h of invasive ventilation: mean of temperature (OR, 0.70; 95% CI: 0.57–0.86), the maximum of lactate (OR, 1.15; 95% CI: 1.09–1.22), the minimum of blood urea nitrogen (OR, 1.02; 95% CI: 1.01–1.03) and white blood cell counts (OR, 1.03; 95% CI: 1.01–1.06). Our model achieved good discrimination (AUC: 0.77, 95% CI: 0.73–0.80) in training cohort but the performance declined in internal (AUC: 0.75, 95% CI: 0.69–0.80) and external validation cohort (0.70, 95% CI: 0.65–0.74) and showed modest calibration.ConclusionsA risk score based on routinely collected variables at the start of admission to ICU and invasive ventilation can predict mortality of ventilated ARDS patients, with a moderate performance.

Hyperoxia is Dose-Dependently Associated with an Increase of Unfavorable Outcomes in Ventilated Patients with Aneurysmal Subarachnoid Hemorrhage: A Retrospective Cohort Study

BackgroundAdequate oxygenation in patients with aneurysmal subarachnoid hemorrhage (SAH) is imperative. However, hyperoxia increases formation of reactive oxygen species and may be associated with a dose-dependent toxicity. We postulated a threshold for arterial partial pressure of oxygen (paO2) above which toxicity effects precipitate and sought to study the effects on 30-day mortality, favorable outcome at discharge and at 3 months, and delayed cerebral ischemia.MethodsIn this retrospective single-center cohort study, patients with SAH and mechanical ventilation > 72 h were included. Oxygen integrals were calculated above the following thresholds: 80, 100, 120, and 150 mm Hg and time-weighted mean paO2. All calculations were done from admission to end of day 1, day 3, and day 14. We conducted multivariable logistic regression analyses adjusted for age, sex, duration of ventilation, and Hunt and Hess grade. Time-weighted mean paO2 was categorized by quartiles. Favorable outcome was defined as Glasgow Outcome Scale scores of 4 and 5.ResultsFrom November 2010 to February 2021, 282 of 549 patients fulfilled the inclusion criteria. Odds ratios for 30-day mortality increased dose dependently and were as follows: 1.07 (95% confidence interval [CI] 1.03–1.11; p = 0.001) for each 1 mm Hg per day above 80 mm Hg; 1.16 (95% CI 1.07–1.27), above 100 mm Hg; 1.36 (95% CI 1.15–1.61), above 120 mm Hg; and 1.59 (95% CI 1.22–2.08), above 150 mm Hg (all p < 0.001) at day 14. For favorable outcome at 3 months, odds ratios were 0.96 (95% CI 0.92–0.99) for each 1 mm Hg per day above 80 mm Hg; 0.90 (95% CI 0.84–0.98), above 100 mm Hg; 0.83 (95% CI 0.72–0.97), above 120 mm Hg; and 0.77 (95% CI 0.61–0.97), above 150 mm Hg (all p < 0.05). For time-weighted mean paO2, lowest 30-day mortality and highest favorable outcome at 3 months were found in the second quartile (78–85 mm Hg). Thirty-day mortality increased above 93 mm Hg (fourth quartile), with an odds ratio of 3.4 (95% CI 1.4–8.4, p = 0.007). Odds ratios for favorable outcome at 3 months were 0.28 (95% CI 0.12–0.69), 0.27 (95% CI 0.11–0.67), and 0.24 (95% CI 0.10–0.59) for the first, third, and fourth quartiles, respectively (all p < 0.01). No significant association was found at day 1 and day 3, for favorable outcome at discharge, or for delayed cerebral ischemia.ConclusionsIntegrals above the defined paO2 thresholds were dose-dependently associated with an increase in mortality in ventilated patients with SAH. When we considered time-weighted mean paO2, unfavorable outcomes and 30-day mortality were more frequent both below and above a certain range. Unfavorable outcomes increased in paO2 ranges usually defined as normoxia. This emphasizes the necessity to further characterize oxygenation thresholds in ventilated patients with SAH in prospective clinical studies.

COVID-19 Tracheostomy Outcomes.

(1) Assess overall COVID-19 mortality in ventilated patients with and without tracheostomy. (2) Determine the impact of tracheostomy on mechanical ventilation duration, overall length of stay (LOS), and intensive care unit (ICU) LOS for patients with COVID-19. Case series with planned chart review. Single-institution tertiary care center. Patients with COVID-19 who were ≥18 years old and requiring invasive positive pressure ventilation (IPPV) met inclusion criteria. Patients were stratified into 2 cohorts: IPPV with tracheostomy and IPPV with intubation only. Cohorts were analyzed for the following primary outcome measures: mortality, LOS, ICU LOS, and IPPV duration. An overall 258 patients with IPPV met inclusion criteria: 46 (18%) with tracheostomy and 212 (82%) without (66% male; median age, 63 years [interquartile range, 18.75]). Average LOS, time in ICU, and time receiving IPPV were longer in the tracheostomy cohort (P < .01). Ability to wean from IPPV was similar between cohorts (P > .05). The number of deaths in the nontracheostomy cohort (54%) was significantly higher than the tracheostomy cohort (29%, P < .01). While tracheostomy placement in patients with COVID-19 did not shorten overall LOS, mechanical ventilation duration, or ICU LOS, patients with a tracheostomy experienced a significantly lower number of deaths vs those without. One goal for tracheostomy is improved pulmonary toilet with associated shortened IPPV requirements. Our study did not identify this advantage among the COVID-19 population. However, this study demonstrates that the need for tracheostomy in the COVID-19 setting does not portent a poor prognostic factor, as patients with a tracheostomy experienced a significantly higher survival rate than their nontracheostomy counterparts.

Mediators of neutrophil-lymphocyte ratio in the relationship between ondansetron pre-treatment and the mortality of ICU patients on mechanical ventilation: Causal mediation analysis from the MIMIC-IV database.

The mortality of critically ill patients undergoing mechanical ventilation (MV) is high and few strategies are available. We explored the relationship between ondansetron pre-treatment, the neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR), and mortality of ventilated patients in the intensive care unit. We developed a retrospective cohort study that involved patients undergoing MV in the Multiparameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV) database. Causal mediation analysis was conducted to assess the relationship of ondansetron use and mortality and to explore the potential causal pathway mediated by the NLR or PLR. The primary outcome was 28-day mortality. A total of 17 927 eligible patients took part in the study (5665 had taken ondansetron before MV initiation and 12 262 patients had not). The odds ratio (OR) for 28-day mortality for ondansetron use uncorrelated with the mediator (NLR, PLR) was 0.72 (95% confidence interval [CI] = 0.64-0.81, P < .001). Ondansetron was also associated with a reduction in 28-day mortality after controlling for the mediator of NLR (OR = 0.98, 95% CI = 0.97-0.99, P < .01). For the indirect effect, the NLR could explain 13.47% (95% CI = 8.59-20.54%, P < .01) of the impact of ondansetron use on 28-day mortality. The proportion mediated increased to 21.50% (95% CI = 12.36-47.44%, P < .01) for 90-day mortality. Adjusted mediation analysis revealed no suggestion of a causal mediation pathway for this effect by the PLR (P = .12). NLR may play substantial roles in the relationship between ondansetron pre-treatment before initiation of mechanical ventilation and the reduction of death risk in ventilated patients.

Development of a repeated-measures predictive model and clinical risk score for mortality in ventilated COVID-19 patients.

PurposeThe COVID-19 pandemic has caused intensive care units (ICUs) to reach capacities requiring triage. A tool to predict mortality risk in ventilated patients with COVID-19 could inform decision-making and resource allocation, and allow population-level comparisons across institutions.MethodsThis retrospective cohort study included all mechanically ventilated adults with COVID-19 admitted to three tertiary care ICUs in Toronto, Ontario, between 1 March 2020 and 15 December 2020. Generalized estimating equations were used to identify variables predictive of mortality. The primary outcome was the probability of death at three-day intervals from the time of ICU admission (day 0), with risk re-calculation every three days to day 15; the final risk calculation estimated the probability of death at day 15 and beyond. A numerical algorithm was developed from the final model coefficients.ResultsOne hundred twenty-seven patients were eligible for inclusion. Median ICU length of stay was 26.9 (interquartile range, 15.4–52.0) days. Overall mortality was 42%. From day 0 to 15, the variables age, temperature, lactate level, ventilation tidal volume, and vasopressor use significantly predicted mortality. Our final clinical risk score had an area under the receiver-operating characteristics curve of 0.9 (95% confidence interval [CI], 0.8 to 0.9). For every ten-point increase in risk score, the relative increase in the odds of death was approximately 4, with an odds ratio of 4.1 (95% CI, 2.9 to 5.9).ConclusionOur dynamic prediction tool for mortality in ventilated patients with COVID-19 has excellent diagnostic properties. Notwithstanding, external validation is required before widespread implementation.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12630-021-02163-3.

The Association between Mechanical Power and Mortality in Patients with Pneumonia Using Pressure-Targeted Ventilation.

Recent studies have reported that mechanical power (MP) is associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate the association between 28-day mortality and MP in patients with severe pneumonia. In total, the data of 313 patients with severe pneumonia were used for analysis. Serial MP was calculated daily for either 21 days or until ventilator support was no longer required. Compared with the non-ARDS group, the ARDS group (106 patients) demonstrated lower age, a higher Acute Physiology and Chronic Health Evaluation II score, lower history of diabetes mellitus, elevated incidences of shock and jaundice, higher MP and driving pressure on Day 1, and more deaths within 28 days. Regression analysis revealed that MP was an independent factor associated with 28-day mortality (odds ratio, 1.048; 95% confidence interval, 1.020–1.077). MP was persistently high in non-survivors and low in survivors among the ARDS group, the non-ARDS group, and all patients. These findings indicate that MP is associated with the 28-day mortality in ventilated patients with severe pneumonia, both in the ARDS and non-ARDS groups. MP had a better predicted value for the 28-day mortality than the driving pressure.

COVID-19 Infection Clinical Profile, Management, Outcome, and Antibody Response in Kidney Transplant Recipients: A Single Centre Experience.

Introduction Experience of COVID-19 in kidney transplant recipients (KTRs) with clinical presentation, management, factors influencing mortality, and antibody response is limited. Material and Methods. A retrospective data of COVID-19 in KTRs was collected and analyzed. The mortality rate, risk factors, and antibody response were primary objectives, while the clinical presentation, laboratory indicators, and pharmacological management were secondary objectives. Results The 67 KTRs with polymerase chain reaction (PCR) confirmed COVID-19 infection reported between 1 May 2020 and 31 December 2020; 61.2% of patients were hospitalized; and 20.9% needed ventilation. The overall mortality was 26.9%, while blood group A had 50% mortality. The treatment options and used were steroids (100%), convalescent plasma (32.8%), ivermectin (58.2%), doxycycline (55.2%), remdesivir (34.3%), tocilizumab (10.4%), antibiotics (61.2%), anti-fungals (26.9%), low molecular weight heparin (45.3%), and oral anti-coagulants (26.9%). Anti-nucleosides (mycophenolate or azathioprine) were discontinued in 76.1% and calcineurin inhibitors (CNI) in 26.9%. Significant mortality (p < 0.001) was observed in patients presenting with SpO2 <94 needing ICU care, ventilation, dialysis/acute kidney injury (AKI), and empirical therapies like convalescent plasma and remdesivir. The age of survivors versus nonsurvivors was not significantly different (p=0.02). The positive blood culture, low serum albumin, high TLC, high blood urea, interleukin-6, and CT severity score ≥15 were statistically significant in nonsurvivors. Overall mortality, mortality of hospitalized patients, and mortality of ventilated patients was 27%, 44%, and 100%, respectively. The median value of SARS-CoV-2 (COVID-19) IgG antibody was 68.60 (IQR, 28.5–94.25) AU/ml in more than 90% of survivors. Conclusion KTRs with COVID-19, needing ICU care, dialysis and ventilation support had poor outcomes. Recovered patients mounted adequate antibody response.

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database.

Background: Mechanically ventilated patients in the intensive care unit (ICU) have high mortality rates. There are multiple prediction scores, such as the Simplified Acute Physiology Score II (SAPS II), Oxford Acute Severity of Illness Score (OASIS), and Sequential Organ Failure Assessment (SOFA), widely used in the general ICU population. We aimed to establish prediction scores on mechanically ventilated patients with the combination of these disease severity scores and other features available on the first day of admission.Methods: A retrospective administrative database study from the Medical Information Mart for Intensive Care (MIMIC-III) database was conducted. The exposures of interest consisted of the demographics, pre-ICU comorbidity, ICU diagnosis, disease severity scores, vital signs, and laboratory test results on the first day of ICU admission. Hospital mortality was used as the outcome. We used the machine learning methods of k-nearest neighbors (KNN), logistic regression, bagging, decision tree, random forest, Extreme Gradient Boosting (XGBoost), and neural network for model establishment. A sample of 70% of the cohort was used for the training set; the remaining 30% was applied for testing. Areas under the receiver operating characteristic curves (AUCs) and calibration plots would be constructed for the evaluation and comparison of the models' performance. The significance of the risk factors was identified through models and the top factors were reported.Results: A total of 28,530 subjects were enrolled through the screening of the MIMIC-III database. After data preprocessing, 25,659 adult patients with 66 predictors were included in the model analyses. With the training set, the models of KNN, logistic regression, decision tree, random forest, neural network, bagging, and XGBoost were established and the testing set obtained AUCs of 0.806, 0.818, 0.743, 0.819, 0.780, 0.803, and 0.821, respectively. The calibration curves of all the models, except for the neural network, performed well. The XGBoost model performed best among the seven models. The top five predictors were age, respiratory dysfunction, SAPS II score, maximum hemoglobin, and minimum lactate.Conclusion: The current study indicates that models with the risk of factors on the first day could be successfully established for predicting mortality in ventilated patients. The XGBoost model performs best among the seven machine learning models.

Complicaciones pulmonares en pacientes con ventilación mecánica en un departamento de urgencias

Objective: To analyze pulmonary complications in patients with mechanical ventilation who are in the observation area of ​​the Emergency Department of the High Specialty Hospital Dr. Gustavo A. Rovirosa Pérez. Materials and method: A quantitative, descriptive, cross-sectional study was conducted to describe pulmonary complications associated with mechanical ventilation in patients admitted to the observation area of ​​the Emergency Department of the Regional Hospital of High Specialty Dr. Gustavo A. Rovirosa Pérez, from March 2016 to March 2018. The study consisted of 36 cases, of a review of 200 cases, according to the inclusion and exclusion criteria. Results: It was identified that 52.78% of the patients presented complications associated with possible pneumonia, 33.33% presented complications associated with probable pneumonia, in 13.89% of the patients, there were no complications secondary to an infectious condition associated with mechanical ventilation. 50% of the causes of mechanical ventilation requirement were of traumatic origin, 30.56% in relation to respiratory pathology, 16.67% in relation to neurological pathology and 2.78% in cardiovascular pathology. In relation to the severity using the APACHE II scale, the predicted mortality was lower than that observed, for a cut-off point of 20 points, prevailing as the most frequent causes of mortality in ventilated patients of respiratory etiology. The APACHE II score showed an intermediate positive predictive value and an intermediate negative predictive value. Conclusions: It was concluded that the requirement of mechanical ventilation is greater in relation to causes of traumatic origin, in comparison to causes of respiratory origin as reported in the reviewed publications. It was concluded that an APACHE II result ≥20 points corresponds to a much higher mortality. Likewise, it is concluded that the APACHE II system has a high sensitivity and low specificity to determine its diagnostic efficacy, which is comparable in multiple international studies.

DEATH FROM A SECOND HIT: EPIDEMIOLOGY OF HOSPITAL-ACQUIRED PNEUMONIA IN PORTUGUESE HOSPITALS

SESSION TITLE: Chest Infections Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: October 18-21, 2020 PURPOSE: Hospital acquired pneumonia (HAP) is a common discharge diagnosis in patients admitted both to surgical and medical wards, and it seems to be associated with increased mortality and morbidity. Recent epidemiological data points to an incidence roughly between 0.5 and 2%. Ventilator associated pneumonia accounts for about 1/3 of these episodes. Still, there is scarce information regarding HAP distribution, risk factors, the impact of age, differences between surgical and medical patients, strategies for prevention (outside the intensive care unit), and health costs, especially hospital length of stay and mortality. METHODS: Exploratory analysis of the Portuguese National Health Service (NHS) hospital discharge diagnosis database. All adult inpatients discharged between 2014 and 2017 with a new diagnosis of pneumonia (“not present on admission”) were included. Demographic data, type of admission (either medical or surgical), the need for invasive ventilation, hospital length of stay and mortality were collected. This study was approved by the Central Administration of the National Health System. RESULTS: During this four-year period there were 3.026.233 adult discharges from the Portuguese NHS. There were 28.633 diagnosis of HAP, a mean of 596.5 cases per month, with an overall incidence of 0.95%, ranging between 0.77% (2017) to 1.23% (2016). HAP was more prevalent in patients older than 65 years (accounting for 76.1% of all HAP episodes) and in the male gender, 61.7%, although the same represented only 55.7% of all hospital admissions Surgical patients represented 27.4% of HAP. These patients were younger (73 vs. 78 years), had longer hospital stay (28 vs. 18 days) but lower mortality rate (30.7 vs. 35.0%). Invasive ventilation was common (18.8%) either as directly associated (ventilator associated pneumonia) or as a rescue therapy. Hospital mortality in ventilated patients was higher, 42% vs. 31.9%. Overall, hospital acquired pneumonia was strongly associated with both a very prolonged length of hospital stay (mean 26.4 days) and mortality (33.6%). Mortality increased sharply with age, being 40% in patients older than 85 years. But even in patients <30years, mortality was stil 12.4%. CONCLUSIONS: HAP is frequent in mainland Portugal, both in surgical and medical wards, more common in old patients but affecting all ages. HAP is strongly associated with the need of invasive ventilation, a very long length of stay and mortality. CLINICAL IMPLICATIONS: HAP is a frequent complication in hospitalised patients and strongly associated with the need of invasive ventilation, a very long length of stay and mortality. DISCLOSURES: No relevant relationships by Luis Filipe Froes, source=Web Response no disclosure on file for João Gonçalves-Pereira; no disclosure on file for Paulo Mergulhão; no disclosure on file for Baltazar Nunes; No relevant relationships by Monica Pereira, source=Web Response No relevant relationships by André Simões, source=Web Response

Sequential Organ Failure Assessment score as a predictor of mortality in ventilated patients with multidrug-resistant bacteremia.

BackgroundThe occurrence of multidrug-resistant (MDR) bacteremia in ventilated patients may be associated with a high mortality rate. We evaluated whether Sequential Organ Failure Assessment (SOFA) score on the day of bacteremia could predict 90-day mortality in these patients.MethodsData were obtained retrospectively from 202 patients (male, 60.4%; median age, 64 years) hospitalized at a single university-affiliated tertiary care hospital. All adult patients who had were ventilated and had one of the following six MDR bacteremias between March 2011 and February 2018 were enrolled: methicillin-resistant Staphylococcus aureus, extended-spectrum β-lactamase-producing Gram-negative bacteria (Escherichia coli and Klebsiella pneumonia), carbapenem-resistant Gram-negative rods (Acinetobacter baumannii and Pseudomonas aeruginosa), or vancomycin-resistant Enterococcus faecium.ResultsThe overall 90-day mortality rate after the day of bacteremia was 59.9%. The areas under the receiver operating characteristic curves for the SOFA and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were 0.732 (95% confidence interval [CI], 0.666 to 0.792; P<0.001) and 0.662 (95% CI, 0.593 to 0.727; P<0.001), respectively, with no difference between the two (P=0.059). Also, the cutoff value of the SOFA score was 9 (based on Youden’s index). Multivariate Cox regression analysis showed that this cut-off value was significantly associated with higher mortality rate (hazard ratio, 2.886; 95% CI, 1.946 to 4.221; P<0.001).ConclusionsSOFA score measured on the day of bacteremia may be a useful prognostic indicator of 90-day mortality in ventilated patients with MDR bacteremia.

Case characteristics, resource use, and outcomes of 10 021 patients with COVID-19 admitted to 920 German hospitals: an observational study

BackgroundNationwide, unbiased, and unselected data of hospitalised patients with COVID-19 are scarce. Our aim was to provide a detailed account of case characteristics, resource use, and outcomes of hospitalised patients with COVID-19 in Germany, where the health-care system has not been overwhelmed by the pandemic.MethodsIn this observational study, adult patients with a confirmed COVID-19 diagnosis, who were admitted to hospital in Germany between Feb 26 and April 19, 2020, and for whom a complete hospital course was available (ie, the patient was discharged or died in hospital) were included in the study cohort. Claims data from the German Local Health Care Funds were analysed. The data set included detailed information on patient characteristics, duration of hospital stay, type and duration of ventilation, and survival status. Patients with adjacent completed hospital stays were grouped into one case. Patients were grouped according to whether or not they had received any form of mechanical ventilation. To account for comorbidities, we used the Charlson comorbidity index.FindingsOf 10 021 hospitalised patients being treated in 920 different hospitals, 1727 (17%) received mechanical ventilation (of whom 422 [24%] were aged 18–59 years, 382 [22%] were aged 60–69 years, 535 [31%] were aged 70–79 years, and 388 [23%] were aged ≥80 years). The median age was 72 years (IQR 57–82). Men and women were equally represented in the non-ventilated group, whereas twice as many men than women were in the ventilated group. The likelihood of being ventilated was 12% for women (580 of 4822) and 22% for men (1147 of 5199). The most common comorbidities were hypertension (5575 [56%] of 10 021), diabetes (2791 [28%]), cardiac arrhythmia (2699 [27%]), renal failure (2287 [23%]), heart failure (1963 [20%]), and chronic pulmonary disease (1358 [14%]). Dialysis was required in 599 (6%) of all patients and in 469 (27%) of 1727 ventilated patients. The Charlson comorbidity index was 0 for 3237 (39%) of 8294 patients without ventilation, but only 374 (22%) of 1727 ventilated patients. The mean duration of ventilation was 13·5 days (SD 12·1). In-hospital mortality was 22% overall (2229 of 10 021), with wide variation between patients without ventilation (1323 [16%] of 8294) and with ventilation (906 [53%] of 1727; 65 [45%] of 145 for non-invasive ventilation only, 70 [50%] of 141 for non-invasive ventilation failure, and 696 [53%] of 1318 for invasive mechanical ventilation). In-hospital mortality in ventilated patients requiring dialysis was 73% (342 of 469). In-hospital mortality for patients with ventilation by age ranged from 28% (117 of 422) in patients aged 18–59 years to 72% (280 of 388) in patients aged 80 years or older.InterpretationIn the German health-care system, in which hospital capacities have not been overwhelmed by the COVID-19 pandemic, mortality has been high for patients receiving mechanical ventilation, particularly for patients aged 80 years or older and those requiring dialysis, and has been considerably lower for patients younger than 60 years.FundingNone.

Neonatal mechanical ventilation: Indications and outcome.

Background and Aims:Decreasing mortality in sick and ventilated neonates is an endeavor of all neonatologists. To reduce the high mortality in this group of neonates, identification of risk factors is important. This study was undertaken to find out the indications of ventilation and complications in ventilated neonates and also study possible predictors of outcome.Subjects:Age <1-month; mechanically ventilated; not having suspected metabolic disorders or congenital anomalies; excluding postoperative patients.Methods:Neonates consecutively put on mechanical ventilation during the study period (October 2011 to November 2013) enrolled. Primary disease of the neonates along with complications present listed. Clinical and laboratory parameters analyzed to find the predictors of mortality.Results:Total 300 neonates were ventilated. 52% were male. Mean age, weight, and gestational age were 21 ± 62 h, 2320 ± 846.2 g, and 35.2 ± 4.9 weeks, respectively. 130 (43%) neonates died. Respiratory distress syndrome (RDS) (31.1%), sepsis (22.7%), and birth asphyxia (18%) were the most common indications for ventilation. Mortality in ventilated patients with sepsis, pneumonia, RDS or birth asphyxia was 64.7%, 60%, 44.6%, and 33.3%, respectively. Weight <2500 g, gestation <34 weeks, initial pH <7.1, presence of sepsis, apnea, shock, pulmonary hemorrhage, hypoglycemia, neutropenia, and thrombocytopenia were significantly associated with mortality (P < 0.05). Resuscitation at birth, seizures, intra ventricular hemorrhage, pneumothorax, ventilator-associated pneumonia, PO2, or PCO2 did not have a significant association with mortality. On logistic regression, gestation <34 weeks, initial pH <7.1, pulmonary hemorrhage, or shock were independently significant predictors of mortality.Conclusions:Weight <2500 g, gestation <34 weeks, initial arterial pH <7.1, shock, pulmonary hemorrhage, apnea, hypoglycemia, neutropenia, and thrombocytopenia were significant predictors of mortality in ventilated neonates.

Can Acute Phase Proteins Predict Survival in Ventilated Patients With Acute Exacerbation of COPD?

Abstract SESSION TYPE: Respiratory Support PostersPRESENTED ON: Wednesday, October 24, 2012 at 01:30 PM - 02:30 PMPURPOSE: Factors determining in-hospital mortality of patients ventilated with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are not precisely understood. The aim of this study was to assess the correlation between acute phase proteins [High sensitivity C-reactive protein (CRP) and prealbumin (PA)] and mortality in ventilated patients with COPD.METHODS: We evaluated 336 COPD patients with AECOPD and on invasive mechanical ventilation. Detailed clinical evaluation was done daily. Concentrations of CRP and PA were measured on admission, 3rd, 8th and 16th day.RESULTS: During this study; 237 patients were discharged and 99 died. The difference between the two groups in CRP and PA was significant at admission, 3rd, 8th day and 16th day. In non survivors; there was a significant increase in CRP values with a significant decrease in PA with time (Palt;0.001). In-hospital mortality was significantly associated with lower arterial oxygen tension, higher arterial carbon dioxide tension, lower arterial oxygen saturation, lower body mass index and longer hospital stay.CONCLUSIONS: CRP levels in patients who died were significantly higher on admission, 3rd, 8th and 16th day. A fall in CRP levels on follow up indicated a significantly better prognosis. An increase in the prealbumin level was observed in survivors.CLINICAL IMPLICATIONS: Persistently high CRP and low prealbumen in COPD patients on ventilator are associated with poor prognosis. Aggressive treatment of systemic inflammation and malnutrition may improve prognosis. Prediction of survival status may be enhanced by considering arterial oxygen tension, arterial carbon dioxide tension, albumin, body mass index and duration of hospitalization.DISCLOSURE: The following authors have nothing to disclose: Gamal Agmy, Hoda Makhlouf, Safaa Wafy, Yasser Ahmed, Mostafa Haridy, Shahban HelalNo Product/Research Disclosure InformationChest, Assiut University, Assiut, Egypt.

The association between early arterial oxygenation and mortality in ventilated patients with acute ischaemic stroke

The association between early arterial oxygenation and mortality in ventilated patients with acute ischaemic stroke

Arterial oxygen tension and mortality in mechanically ventilated patients

Early hyperoxia may be an independent risk factor for mortality in mechanically ventilated intensive care unit (ICU) patients. We examined the relationship between early arterial oxygen tension (PaO(2)) and in-hospital mortality. We retrospectively assessed arterial blood gases (ABG) with 'worst' alveolar-arterial (A-a) gradient during the first 24 h of ICU admission for all ventilated adult patients from 150 participating ICUs between 2000 and 2009. We used multivariate analysis in all patients and defined subgroups to determine the relationship between PaO(2) and mortality. We also studied the relationship between worst PaO(2), admission PaO(2) and peak PaO(2) in a random cohort of patients. We studied 152,680 patients. Their mean PaO(2) was 20.3 kPa (SD 14.6) and mean inspired fraction of oxygen (FiO(2)) was 62% (SD 26). Worst A-a gradient ABG identified that 49.8% (76,110) had hyperoxia (PaO(2) > 16 kPa). Nineteen per cent of patients died in ICU and 26% in hospital. After adjusting for site, Simplified Acute Physiology Score II (SAPS II), age, FiO(2), surgical type, Glasgow Coma Scale (GCS) below 15 and year of ICU admission, there was an association between progressively lower PaO(2) and increasing in-hospital mortality, but not with increasing levels of hyperoxia. Similar findings were observed with a sensitivity analysis of PaO(2) derived from high FiO(2) (≥50%) versus low FiO(2) (<50%) and in defined subgroups. Worst PaO(2) showed a strong correlation with admission PaO(2) (r = 0.98) and peak PaO(2) within 24 h of admission (r = 0.86). We found there was an association between hypoxia and increased in-hospital mortality, but not with hyperoxia in the first 24 h in ICU and mortality in ventilated patients. Our findings differ from previous studies and suggest that the impact of early hyperoxia on mortality remains uncertain.

Acute Phase Proteins Can Predict Survival in Ventilated Patients With Acute Exacerbation of Chronic Obstructive Airway Disease (COPD)

PURPOSE: COPD is a disease with systemic inflammation. We studied the correlation between acute phase proteins (C-reactive protein, prealbumin and transferrin) and mortality in ventilated patients with COPD.

SDD, SOD, or oropharyngeal chlorhexidine to prevent pneumonia and to reduce mortality in ventilated patients: which manoeuvre is evidence-based?

SDD, SOD, or oropharyngeal chlorhexidine to prevent pneumonia and to reduce mortality in ventilated patients: which manoeuvre is evidence-based?

The LoTrach™ system: its role in the prevention of ventilator‐associated pneumonia

To discuss the development of the LoTrach system in light of current evidence around the prevention of ventilator-associated pneumonia (VAP) and its practical application in the intensive care setting. VAP causes substantial morbidity and mortality in ventilated patients in the Intensive Care Unit (ICU), increases length of stay in ICU and is extremely costly. Strategies are needed to reduce the risk of VAP. We examine the need for an endotracheal tube (ETT) specifically designed for the critically-ill patient, the development of the LoTrach system from conception to production, and the role of the various components of the system in preventing VAP. Early issues in implementing this revolutionary equipment into ICU are explored and three case studies highlight advantages of this system. The LoTrach system has been designed to facilitate the provision of a number of evidence-based interventions that have been shown to reduce VAP. Pulmonary aspiration is ubiquitous with conventional cuffs but prevented by the cuff of the LoTrach system when held at a constant and safe pressure against the tracheal wall with a cuff pressure controller. Other aspects incorporated in the ETT are aimed at clearing the secretions from the subglottic space, preventing tube occlusion and accidental extubation, and avoiding damage to the airway. In this way the LoTrach system employs a multifactorial approach to the prevention of VAP and the cost savings from LoTrach rather than a standard ETT will be considerable because of an average 3 day reduction in ICU length of stay related to this. It thus has the potential to be a very useful tool in the ICU setting in the prevention of VAP.