Validation of the Hospital Frailty Risk Score among older adults receiving mechanical ventilation

2021 ◽  
Author(s):  
Eric Sy ◽  
Sandy Kassir ◽  
Jonathan F Mailman ◽  
Sarah Lauren Sy
Keyword(s):  
Older Adults ◽  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Hospital Readmissions ◽  
Brier Score ◽  
Emergency Hospital ◽  
Prolonged Hospitalization ◽  
C Statistic

Abstract Background:Older adults are increasingly being admitted to intensive care units, with frailty recognized as a risk factor for worse outcomes. The Hospital Frailty Risk Score (HFRS) was developed for use in administrative databases of older adults, but it has not yet been well-validated for critically ill patients. The objective of this study was to validate the HFRS to predict prolonged hospitalization, in-hospital mortality, and 30-day emergency hospital readmissions in critically ill patients.Methods:We selected index hospitalizations of older adults (≥75 years old) receiving mechanical ventilation, using the United States Nationwide Readmissions Database from January 1, 2016 to November 30, 2018. Frailty risk was determined by the HFRS using International Classification of Diseases, Tenth Revision Clinical Modification (ICD-10-CM) codes, and further subcategorized into low (score <5), intermediate (score 5-15), and high (score >15) risk for frailty. We evaluated the HFRS to predict prolonged hospitalization, in-hospital mortality, and 30-day emergency hospital readmissions, using multivariable logistic regression after adjustment for patient and hospital characteristics. Model performance was assessed using the c-statistic, Brier score, and calibration plots.Results:Among the 649,330 weighted index hospitalizations in the cohort, 50.0% were female, the median (interquartile range [IQR]) age was 81 (78-86) years old, and the median (IQR) HFRS was 10.8 (7.7-14.5). Among the cohort, 9.5%, 68.3%, and 22.2% were subcategorized as low, intermediate, and high risk for frailty, respectively. After adjustment, patient hospitalizations with high frailty risk were associated with increased risks of prolonged hospitalization (adjusted odds ratio [aOR] 5.59 [95% confidence interval [CI] 5.24-5.97], c-statistic 0.694, Brier score 0.216) and 30-day emergency hospital readmissions (aOR 1.20 [95% CI 1.13-1.27], c-statistic 0.595, Brier score 0.162), compared to low frailty risks. Conversely, high frailty risk using the HFRS was inversely associated with in-hospital mortality (aOR 0.46 [95% CI 0.45-0.48], c-statistic 0.712, Brier score 0.214). Calibration plots demonstrated good calibration for the adjusted analyses.Conclusions:The HFRS is associated with prolonged hospitalization and 30-day readmission in older adults receiving mechanical ventilation. Further research is necessary to develop frailty scores that accurately and intuitively predict mortality in critically ill patients.

scholarly journals Association of Preadmission Statin Use and Mortality in Critically Ill Patients: A Meta-Analysis of Cohort Studies

2021 ◽  
Vol 8 ◽  
Author(s):  
Shao-shuo Yu ◽  
Jian Jin ◽  
Ren-qi Yao ◽  
Bo-li Wang ◽  
Lun-yang Hu ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Secondary Outcome ◽  
Newcastle Ottawa Scale ◽  
English Articles ◽  
Statin Use

Background: A large number of studies have been conducted to determine whether there is an association between preadmission statin use and improvement in outcomes following critical illness, but the conclusions are quite inconsistent. Therefore, this meta-analysis aims to include the present relevant PSM researches to examine the association of preadmission use of statins with the mortality of critically ill patients.Methods: The PubMed, Web of Science, Embase electronic databases, and printed resources were searched for English articles published before March 6, 2020 on the association between preadmission statin use and mortality in critically ill patients. The included articles were analyzed in RevMan 5.3. The Newcastle-Ottawa Scale (NOS) was used to conduct quality evaluation, and random/fixed effects modeling was used to calculate the pooled ORs and 95% CIs. We also conducted subgroup analysis by outcome indicators (30-, 90-day, hospital mortality).Results: All six PSM observational studies were assessed as having a low risk of bias according to the NOS. For primary outcome—overall mortality, the pooled OR (preadmission statins use vs. no use) across the six included studies was 0.86 (95% CI, 0.76–0.97; P = 0.02). For secondary outcome—use of mechanical ventilation, the pooled OR was 0.94 (95% CI, 0.91–0.97; P = 0.0005). The corresponding pooled ORs were 0.67 (95% CI, 0.43–1.05; P = 0.08), 0.91 (95% CI, 0.83–1.01; P = 0.07), and 0.86 (95% CI, 0.83–0.89; P &lt; 0.00001) for 30-, 90-day, and hospital mortality, respectively.Conclusions: Preadmission statin use is associated with beneficial outcomes in critical ill patients, indicating a lower short-term mortality, less use of mechanical ventilation, and an improvement in hospital survival. Further high-quality original studies or more scientific methods are needed to draw a definitive conclusion.

scholarly journals Combining Sequential Organ Failure Assessment (SOFA) Score with Acute Physiology and Chronic Health Evaluation (APACHE) II Score to Predict Hospital Mortality of Critically Ill Patients

2007 ◽  
Vol 35 (4) ◽  
pp. 515-521 ◽  
Author(s):  
K. M. Ho
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Characteristic Curve ◽  
Apache Ii ◽  
Brier Score ◽  
Apache Ii Score ◽  
Failure Assessment ◽  
Predict Hospital Mortality

The ability to accurately adjust for the severity of illness in outcome studies of critically ill patients is essential. Previous studies have showed that Sequential Organ Failure Assessment (SOFA) score and Acute Physiology and Chronic Health Evaluation (APACHE) II score can predict hospital mortality of critically ill patients. The effects of combining these two scores to predict hospital mortality of critically ill patients has not been evaluated. This cohort study evaluated the performance of combining the APACHE II score with SOFA score in predicting hospital mortality of critically ill patients. A total of 1,311 consecutive adult patients admitted to a tertiary 22-bed multidisciplinary intensive care unit (ICU) in Western Australia were considered. The APACHE II, Admission SOFA, Delta SOFA and maximum SOFA score were all related to hospital survival in the univariate analyses. Combining Max SOFA (area under receiver operating characteristic curve 0.875 vs. 0.858, P=0.014; Nagelkerke R2: 0.411 vs. 0.371; Brier Score: 0.086 vs. 0.090) or Delta SOFA score (area under receiver operating characteristic curve 0.874 vs. 0.858, P=0.003; Nagelkerke R2: 0.412 vs. 0.371; Brier Score: 0.086 vs. 0.090) with the APACHE II score improved the discrimination and overall performance of the predictions when compared with using the APACHE II score alone, especially in the emergency ICU admissions. Combining Max SOFA or Delta SOFA score with the APACHE II score may improve the accuracy of risk adjustment in outcome studies of critically ill patients.

scholarly journals Diagnostic Yield, Safety and Impact of Transbronchial Lung Biopsy in Mechanically Ventilated Critically Ill Patients: A Retrospective Study

2020 ◽  
Author(s):  
Alessandro Ghiani ◽  
Claus Neurohr
Keyword(s):  
Mechanical Ventilation ◽  
Adverse Events ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Biopsy ◽  
Diagnostic Yield ◽  
Transbronchial Lung Biopsy ◽  
Mechanically Ventilated ◽  
Surgical Lung Biopsy

Abstract BackgroundPulmonary infiltrates of variable etiology are one of the main reasons for hypoxemic respiratory failure leading to invasive mechanical ventilation. If pulmonary infiltrates remain unexplained or progress despite treatment, the histopathological result of a lung biopsy could have significant impact on change in therapy. Surgical lung biopsy is the commonly used technique, but due to its considerable morbidity and mortality, less invasive bronchoscopic transbronchial lung biopsy (TBLB) may be a valuable alternative.MethodsRetrospective, monocentric, observational study in mechanically ventilated, critically ill patients, subjected to TBLB due to unexplained pulmonary infiltrates in the period January 2014 to July 2019. Patients` medical records were reviewed to obtain data on baseline clinical characteristics, modality and adverse events (AE) of the TBLB, and impact of the histopathological results on change in therapy. A multivariable binary logistic regression analysis was performed to identify predictors of AE and hospital mortality, and survival curves were generated using the Kaplan-Meier method.ResultsForty-two patients with in total 42 TBLB procedures after a median of 12 days of mechanical ventilation were analyzed, of which 16.7% were immunosuppressed, but there was no patient with prior lung transplantation. Diagnostic yield of the TBLB was 88.1%, with AE occurring in 11.9% (most common pneumothorax and minor bleeding). 92.9% of the procedures were performed as a forceps biopsy, with organizing pneumonia (OP) being the most common histological diagnosis (54.8%). Variables independently associated with hospital mortality were age (odds ratio 1.070, 95%CI 1.006–1.138; p = 0.031) and the presence of OP (0.182, [0.036–0.926]; p = 0.040), the latter being confirmed in the survival analysis (log-rank p = 0.040). In contrast, a change in therapy based on histopathology alone occurred in only 40.5%, and there was no evidence of a survival benefit in those patients.ConclusionsTransbronchial lung biopsy remains a valuable alternative to surgical lung biopsy in mechanically ventilated critically ill patients. However, the high diagnostic yield must be weighed against potential adverse events and limited consequence of the histological result regarding treatment decisions in such patients.

Outcomes of critically ill patients with lung cancer

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 16001-16001
Author(s):  
M. Soares ◽  
M. Darmon ◽  
C. G. Ferreira ◽  
J. Salluh ◽  
S. De Miranda ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Mechanical Ventilation ◽  
Respiratory Failure ◽  
Hospital Mortality ◽  
Cancer Patients ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Small Cell ◽  
Outcome Variable ◽  
Icu Stay

16001 Background: Recent advances in oncology and critical care have resulted in improved survival in critically ill cancer patients. An appraisal of the prognosis of critically ill patients with lung cancer is timely. Methods: The aim of this study was to evaluate the outcomes and prognostic factors of critically ill cancer patients with lung cancer. From 2000 to 2005, patients with either small-cell (SCLC) or non-small-cell lung cancer (NSCLC) admitted at two intensive care units (ICU) in Brazil and France were included. Patients with postoperative care, ICU stay <24 h and readmissions were excluded. Demographics, clinical, cancer related and outcome variables were collected. Hospital mortality was the outcome variable of interest. Variables selected in the univariate analysis (p < 0.25) and those considered clinically relevant were entered in a multivariable logistic regression analysis [results were expressed as odds-ratios (OR), 95% confidence interval (CI)]. Results: A total of 132 patients were studied (INCA = 87, St Louis Hospital = 45). Their mean age was 61 ± 10 years and 73% were males. Twenty-five (19%) had SCLC and 107 (81%), NSCLC. The SAPS II score was 48 ± 21 points. The main reasons for ICU admission were severe sepsis (45%) and acute respiratory failure (33%). During ICU stay, 96 (73%) patients received mechanical ventilation, 76 (58%) vasopressors and 11 (8%) dialysis; 15 (11%) patients were treated with chemotherapy and 6 (5%), radiation therapy. Thirty-eight (29%) patients had end-of-life decisions. ICU and hospital mortality were 43% and 60%, respectively. Multivariable analysis identified three independent determinants of hospital mortality: airway obstruction/infiltration by cancer [OR = 2.87 (1.34–8.13), p < 0.001], number of organ failures [OR = 1.91 (1.01–2.74), p = 0.047] and performance status 3–4 before admission [OR = 2.90 (0.94–8.95), p = 0.065]. Conclusions: Improved survival in overall ICU cancer patients extends to patients with lung cancer, including those needing mechanical ventilation. Interestingly, the characteristics of the cancer are not associated with the outcome and should not be the grounds for the ICU decision making. Mortality is increased with the number of organ dysfunctions, in particular when respiratory failure is due to cancer progression. No significant financial relationships to disclose.

scholarly journals Factors Associated with Mortality in Patients with a Solid Malignancy Admitted to the Intensive Care Unit - A Prospective Observational Study

2018 ◽  
Vol 4 (4) ◽  
pp. 137-142 ◽  
Author(s):  
Pascal Kingah ◽  
Nasser Alzubaidi ◽  
Jihane Zaza Dit Yafawi ◽  
Emad Shehada ◽  
Khaled Alshabani ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Performance Status ◽  
Academic Medical Center ◽  
Factors Associated ◽  
Solid Malignancy

Abstract Purpose: Several studies show conflicting results regarding the prognosis and predictors of the outcome of critically ill patients with a solid malignancy. This study aims to determine the outcome of critically ill patients, admitted to a hospital, with a solid malignancy and the factors associated with the outcomes. Methods and Materials: All patients with a solid malignancy admitted to an intensive care unit (ICU) at a tertiary academic medical center were enrolled. Clinical data upon admission and during ICU stay were collected. Hospital, ICU, and six months outcomes were documented. Results: There were 252 patients with a solid malignancy during the study period. Urogenital malignancies were the most common (26.3%) followed by lung cancer (23.5%). Acute respiratory failure was the most common ICU diagnosis (51.6%) followed by sepsis in 46%. ICU mortality and hospital mortality were 21.8% and 34.3%. Six months mortality was 38.4%. Using multivariate analysis, acute kidney injury, OR 2.82, 95% CI 1.50-5.32 and P=0.001, use of mechanical ventilation, OR 2.67 95% CI 1.37 – 5.19 and P=0.004 and performance status of ≥2 with OR of 3.05, 95% CI of 1.5-6.2 and P= 0.002 were associated with hospital mortality. There were no differences in outcome between African American patients (53% of all patients) and other races. Conclusion: This study reports encouraging survival rates in patients with a solid malignancy who are admitted to ICU. Patients with a poor baseline performance status require mechanical ventilation or develop acute renal failure have worse outcomes.

The Impact of Deep Vein Thrombosis on Outcomes in Critically Ill Patients: A Systematic Review and Meta-Analysis

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3023-3023
Author(s):  
Alessandra Malato ◽  
Wendy Lim ◽  
Sergio Siragusa ◽  
Deborah Cook ◽  
Mark A. Crowther
Keyword(s):  
Systematic Review ◽  
Mechanical Ventilation ◽  
Deep Vein Thrombosis ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Icu Mortality ◽  
Vein Thrombosis ◽  
Deep Vein

Abstract Background: The clinical consequences of Deep Vein Thrombosis (DVT) have the potential to be serious yet are frequently unrecognized in the Intensive Care Unit (ICU). We hypothesized that both undetected and clinically evident VTE would affect the prognosis of critically ill patients Purpose: To systematically review whether a diagnosis of DVT in critically ill patients affects clinically important outcomes including length of stay, duration of mechanical ventilation and mortality. Material and Methods: Data sources used were the MEDLINE, EMBASE and PUBMED databases. Studies selected evaluated one or more of the following outcomes: duration of patient stay in hospital and in ICU, hospital and ICU mortality, and duration of mechanical ventilation. Two investigators independently extracted and reviewed data from each study; including study and patient characteristics and outcomes. Statistical heterogeneity was evaluated using the I2 statistic; Cohen’s Kappa for inter-rater agreement was used to assess inter-rater reliability. Data was pooled using the Mantel-Haenszel method and a random effects model using Review Manager. Results: Five studies were included in the systematic review. Patients diagnosed with DVT compared to those without DVT had increased ICU and hospital stay (7.3 days (95% confidence interval [CI] 1.4 to 13.2; P= 0.02) and 16.5 days (95% CI 1.51 to 30.59; P= 0.03), respectively. Duration of mechanical ventilation was increased by 3.41 days (95 % CI −1.12 to 7.94; P=0.14). Patients diagnosed with DVT also had increased relative risk (RR) for ICU mortality of 9.19 (95% CI 1.07 to 78.65, P=0.04) and a trend towards increased hospital mortality (RR 14.32 [95% CI 0.59 to 347.96, P = 0.10]). Conclusions: A diagnosis of DVT upon ICU admission appears to affect clinically important outcomes including length of ICU and hospital stay and ICU mortality. Further research involving larger prospective study designs are warranted. Outcomes Study Duration of mechanical ventilation in days (DVT/NO DVT) Hospitalization length In days (DVT/NO DVT) ICU Stay In days (DVT/NO DVT) Hospital mortality rate (DVT/NO DVT) n (%) ICU mortality rate (DVT, n/NO DVT, n) Legend PEPP: positive end-expiratory pressur * IQR ** median “ [95%CI]) ^ Necessity for ventilation measured by PEEP ≥10: DVT/no DVT: 11 (42%)/37 (21%) Ibrahim&#x2028; 2002 18.9±19.7/14.6±12.9M&#x2028; p=0.310 31.4±21.7/27.5± 18.2&#x2028; p=0.375 18.6±14.6/15.9±1.04&#x2028; p=0.388 8.9 (34.6%)/26.8(32.1)&#x2028; p=0.815 n/a Velmahos&#x2028; 1998 Not given. ^ 49±32/31±24, p=&lt; 0.05 34±31/19±18, p=&lt;0.05 n/a 31%,8.06/18%,31.2 Major&#x2028; 2003 n/a n/a n/a n/a 17%, 2/2%, 15&#x2028; p=0.03 Patel&#x2028; 2005 n/a 26**&#x2028; (14,49)*/− 6**&#x2028; (3,15)*/− 70**&#x2028; (28.5%) [22.8–34.1])″/− 16.7%,41 [12.0- 21.3]″/− Cook&#x2028; 2005 9** (4,25)*/6 (3,13)* &#x2028; p=0.03 51** (24,73)*/23 **&#x2028; (12,47)*&#x2028; p=&lt;0.001 17.5** (8.5, 30.5)*/9** (5,17)* 17 (53.1%)/85&#x2028; (37.4%)&#x2028; p=0.04 -, 8 **/−, 62**&#x2028; p=0.78

The Impact of Venous Thromboembolism In Critically Ill Patients: A Meta-Analysis of Major Clinical outcomes

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3327-3327
Author(s):  
Alessandra Malato ◽  
Francesco Dentali ◽  
Francesco Fabbiano ◽  
Giorgia Saccullo ◽  
Vincenzo Abbadessa ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Venous Thromboembolism ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Mean Difference ◽  
Icu Mortality ◽  
Patient Stay

Abstract Abstract 3327 Background: Critically ill patients are at high risk of developing venous thromboembolism (VTE) during their stay in the intensive care unit (ICU) because of premorbid medical and surgical conditions. The clinical consequences of Deep Vein Thrombosis (DVT) have the potential to be serious yet are frequently unrecognized in the Intensive Care Unit (ICU). In contrast to the extensive documentation on the short and long–term outcomes of patients with DVT evaluated in other clinical settings, little is known about the clinical course of this disease in the ICU setting. We hypothesized that both undetected and clinically evident VTE would affect the prognosis of critically ill patients. Purpose: To systematically review whether a diagnosis of DVT in critically ill patients affects clinically important outcomes including length of stay, duration of mechanical ventilation and mortality. Material and Methods: MEDLINE and EMBASE databases were searched up to June 2010. Two reviewers performed study selection independently. Studies were selected if evaluate one or more of the following outcomes: hospital and ICU mortality, duration of patient stay in hospital and in ICU, and duration of mechanical ventilation. Two investigators independently extracted and reviewed data from each study; including study and patient characteristics and outcomes. Association between DVT and hospital and ICU mortality, and the mean difference of duration of patient stay in hospital and in ICU, and duration of mechanical ventilation in patients with and without DVT were calculated using a random-effects model (DerSimionan and Laird method). Pooled results are reported as relative risk (RR) and mean difference and are presented with 95% confidence interval (CI) and with 2-sided P values. A P value of .05 or less was considered statistically significant. Statistical heterogeneity was evaluated using the I2 statistic, which assesses the appropriateness of pooling the individual study results [22]. The I2 value provides an estimate of the amount of variance across studies due to heterogeneity rather than chance. Cohen's Kappa for inter-rater agreement was used to assess inter-rater reliability. Results: Six studies for a total of 1518 patients were included in the systematic review. Patients diagnosed with DVT compared to those without DVT had increased ICU and hospital stay (7.3 days (95% CI 1.4 to 13.2; P= 0.02) and 16.5 days (95% CI 1.51 to 30.59; P= 0.03), respectively. Duration of mechanical ventilation appeared to be increased in patients with DVT although this difference was not statistically significant (weighted mean difference: 3.41 days 95 % CI –1.12 to 7.94; P=0.14). Patients diagnosed with DVT also had a marginally significant increase in the RR of hospital mortality (RR 1.31 95%CI,0.99 to 1.74,P=0.06), and a non statistically significant increase in the RR of ICU mortality (RR 1.96; 95% CI 0.74 to 5.19; P = 0.17). Conclusions: A diagnosis of DVT upon ICU admission appears to affect clinically important outcomes including length of ICU and hospital stay and hospital mortality. Further research involving larger prospective study designs are warranted. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Effect of timing of intubation on clinical outcomes of critically ill patients with COVID-19: a systematic review and meta-analysis of non-randomized cohort studies

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Eleni Papoutsi ◽  
Vassilis G. Giannakoulis ◽  
Eleni Xourgia ◽  
Christina Routsi ◽  
Anastasia Kotanidou ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mechanical Ventilation ◽  
Clinical Outcomes ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Meta Analysis ◽  
Mortality And Morbidity ◽  
Icu Admission ◽  
All Cause Mortality ◽  
Detectable Difference

Abstract Background Although several international guidelines recommend early over late intubation of patients with severe coronavirus disease 2019 (COVID-19), this issue is still controversial. We aimed to investigate the effect (if any) of timing of intubation on clinical outcomes of critically ill patients with COVID-19 by carrying out a systematic review and meta-analysis. Methods PubMed and Scopus were systematically searched, while references and preprint servers were explored, for relevant articles up to December 26, 2020, to identify studies which reported on mortality and/or morbidity of patients with COVID-19 undergoing early versus late intubation. “Early” was defined as intubation within 24 h from intensive care unit (ICU) admission, while “late” as intubation at any time after 24 h of ICU admission. All-cause mortality and duration of mechanical ventilation (MV) were the primary outcomes of the meta-analysis. Pooled risk ratio (RR), pooled mean difference (MD) and 95% confidence intervals (CI) were calculated using a random effects model. The meta-analysis was registered with PROSPERO (CRD42020222147). Results A total of 12 studies, involving 8944 critically ill patients with COVID-19, were included. There was no statistically detectable difference on all-cause mortality between patients undergoing early versus late intubation (3981 deaths; 45.4% versus 39.1%; RR 1.07, 95% CI 0.99–1.15, p = 0.08). This was also the case for duration of MV (1892 patients; MD − 0.58 days, 95% CI − 3.06 to 1.89 days, p = 0.65). In a sensitivity analysis using an alternate definition of early/late intubation, intubation without versus with a prior trial of high-flow nasal cannula or noninvasive mechanical ventilation was still not associated with a statistically detectable difference on all-cause mortality (1128 deaths; 48.9% versus 42.5%; RR 1.11, 95% CI 0.99–1.25, p = 0.08). Conclusions The synthesized evidence suggests that timing of intubation may have no effect on mortality and morbidity of critically ill patients with COVID-19. These results might justify a wait-and-see approach, which may lead to fewer intubations. Relevant guidelines may therefore need to be updated.

scholarly journals Effectiveness of anaesthesia ventilator use for mechanical ventilation in critically ill patients during the COVID-19 pandemic

2021 ◽  
Author(s):  
Aurélie GOUEL-CHERON ◽  
Yoann ELMALEH ◽  
Camille COUFFIGNAL ◽  
Elie KANTOR ◽  
Simon MESLIN ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Critically Ill Patients
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