Prognostic factors for extubation failure in high risk patients using high-flow nasal cannula

Author(s):  
Paulina Ezcurra ◽  
María Sofia Venuti ◽  
Emiliano Gogniat ◽  
Marcela Ducrey ◽  
Jose Dianti ◽  
...  
2021 ◽  
Vol 41 (3) ◽  
pp. 42-48
Author(s):  
Jace D. Johnny

Background Extubation failure is the reintubation of patients meeting criteria for weaning from mechanical ventilation. Extubation failure is correlated with mortality, prolonged mechanical ventilation, and longer hospital stays. Noninvasive ventilation or high-flow nasal cannula oxygen therapy after extubation is recommended to prevent extubation failure in high-risk patients. Local Problem The extubation failure rate is unknown. Prophylactic measures (noninvasive ventilation or high-flow nasal cannula) after extubation are not commonly used and vary among clinicians. The objective was to assess extubation planning readiness by determining extubation failure rate, identifying high-risk patients, and determining prophylactic measure compliance. Methods A quality improvement initiative included an evidence-based extubation failure risk assessment that identified high-risk patients and determined prophylactic measure compliance. A 2-year retrospective medical record review was used to determine baseline patient characteristics and extubation failure rate. Results Extubation failure rate within the retrospective cohort was 13 of 146 patients (8.9%). Extubation failure did not correlate with previously identified risk factors; however, 150 identified patients were excluded from analysis. During risk assessment integration, the extubation failure rate was 3 of 37 patients (8.1%) despite identifying 24 high-risk patients (65%). Few high-risk patients received prophylactic measures (noninvasive ventilation, 17%; high-flow nasal cannula, 12%). Conclusions Extubation failure should be routinely measured because of its effects on patient outcomes. This project reveals the multifactorial nature of extubation failure. Further research is needed to assess patients’ risk and account for acute conditions. This project used best practice guidelines for routine patient care and added transparency to a previously unmeasured event.


JAMA ◽  
2016 ◽  
Vol 316 (15) ◽  
pp. 1565 ◽  
Author(s):  
Gonzalo Hernández ◽  
Concepción Vaquero ◽  
Laura Colinas ◽  
Rafael Cuena ◽  
Paloma González ◽  
...  

2019 ◽  
Vol 3 (s1) ◽  
pp. 29-29
Author(s):  
Robert Edward Freundlich

OBJECTIVES/SPECIFIC AIMS: More than half a million adult patients nationally undergo cardiac surgery each year. Reintubation following cardiac surgery is common and associated with higher short- and long-term mortality, increased cost, and longer lengths of stay. The reintubation incidence is estimated at 5-10%. Patients undergoing cardiac surgery are increasing in age and comorbidity burden, and receive increasingly complex cardiac surgical procedures, complicating decision making around when to extubate postoperative patients. Compounding this complexity are financial pressures to maintain high throughput and maximize ICU bed availability. Providers are often compelled to extubate high-risk patients earlier, despite the potential for an increased risk of reintubation. Understanding the risk factors for reintubation after cardiac surgery and identifying effective interventions to reduce these reintubations is of critical importance to optimize patient outcomes. High-flow nasal cannula (HFNC) provides up to 60 liters per minute of 100% oxygen, dead space washout, and humidification to improve secretion clearance, and has shown some benefits in improving hypoxia and reducing reintubation in select populations. However, its benefit in high-risk patients undergoing cardiac surgical procedures is not known and therefore clinicians may still be reluctant to extubate these patients early and introduce HFNC, despite the known risks of prolonged intubation. To address this important issue, we aim to develop and validate a model to predict postoperative reintubation after cardiac surgery using data readily available from the electronic health record (EHR) and use this data to complete a pilot randomized controlled trial (RCT) of post-extubation HFNC to prevent reintubation in cardiac surgery patients identified as at high risk for reintubation. METHODS/STUDY POPULATION: Based on retrospective data demonstrating a 4.7% reintubation incidence within 48 hours in our CVICU, we estimate that there will be 340 reintubations available for analysis of the risk factors for reintubation to develop our predictive model from November 2, 2017 (our EHR go-live). We require 15 events per predictive variable to avoid overfitting the model, giving us at least 22 variables for analysis and inclusion in the model. Model validation and calibration will be performed using a bootstrapped validation cohort. Next, we will prospectively study 120 patients with a greater than 10% predicted risk of reintubation (double the baseline risk of the overall population) and randomly assign them to either HFNC or usual care, to test the hypothesis that HFNC decreases the rate of reintubation in high-risk patients. RESULTS/ANTICIPATED RESULTS: In addition to developing a predictive model, refining it, and validating its ability to predict the primary outcome of reintubation within 48 hours, I will further assess whether HFNC reduces total duration of mechanical ventilation, hospital length of stay, and ICU length of stay in this high-risk population. I will use these data to establish the feasibility of EHR-integrated predictive modeling and randomization, as well as to guide a future multicenter clinical trial that will pragmatically leverage the EHR for patient selection, enrollment, randomization, and data collection. DISCUSSION/SIGNIFICANCE OF IMPACT: Assuming HFNC decreases reintubation rates by 50%, at a 1:1 ratio of cases to controls, we will require 435 patients in each group (970 total), to have an 80% power and alpha of 0.05 to detect a difference. As this will require a multicenter study, we will instead focus on using data from this pilot study to: 1) refine our sample size estimates. 2) demonstrate the feasibility of our novel EHR-integrated pragmatic trial design. 3) identify and screen collaborators at other institutions, including obtaining important regulatory and legal approval. 4) establish a data safety monitoring board for the trial. 5) refine the data collection infrastructure, leveraging commercially available resources in one of the largest enterprise EHR systems (Epic) and associated resource-sharing products, such as Epic’s App Orchard.


JAMA ◽  
2016 ◽  
Vol 315 (13) ◽  
pp. 1354 ◽  
Author(s):  
Gonzalo Hernández ◽  
Concepción Vaquero ◽  
Paloma González ◽  
Carles Subira ◽  
Fernando Frutos-Vivar ◽  
...  

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 4385-4385 ◽  
Author(s):  
Irene Cavattoni ◽  
Enrico Morello ◽  
Elena Oldani ◽  
Tamara Intermesoli ◽  
Ernesta Audisio ◽  
...  

Abstract INTRODUCTION The impact on post-relapse survival of selected prognostic factors and salvage therapy (finalized to perform an allo-SCT) was retrospectively analyzed in 172 patients (patients) with relapsed non-APL AML, who had been initially treated with standard induction and risk-adapatiented consolidation. The aim was to identify factors associated with a better outcome at first relapse. METHODS All 172 patients were at first recurrence following consolidation of CR1 with high-dose Ara-C (HiDAC) multicycle therapy supported by blood stem cells (standard risk, as defined by mixed clinical-cytogenetic criteria) or allo-SCT in case of high-risk prognostic profile. Median age at relapse was 55 y (range 21–70). CR1 duration was <6 months in 50 patients (29%), ranging from 0.6 to 52,7 mo (median 9,1). High risk patients were 128/172 (74%) and 43/172 patients (25%) had an unfavourable cytogenetics (CG). One hundred-eleven patients (64%) received HiDAC and 24 (14%) an allo-SCT according to study design. RESULTS 140 patients (81%) received salvage treatment. The remaining 32 patients (19%) received palliation and all of them died. The median OS was 17.1 mo, with a 2yOS of 34%. Favorable prognostic factors identified by univariate analisys were: favourable or intermediate CG (p=0,007), standard risk category according to first line protocol (p=0.004), availibility of a HLA matched donor (p= 0.048), achievement of an early CR1(p=0,000), HiDAC as first line therapy(p=0,000), alloHSCT perfomed at relapse (p=0,000) and a DFS from CR1>12 mo (p=0,000). In multivariate analysis favourable or intermediate CG and DFS >12 mo were confirmed as independent prognostic factors (p=0,036 and p=0,001 respectively). Among the 140 patients, 50 received an allo-SCT following relapse (36%, group 1), and the remaining 90 (64%, group 2) received high dose chemotherapy alone (85), autologous SCT (2), or DLI (3, in case of previous alloSCT). Both groups were comparable regarding age >55 y, prior allo-SCT and risk class at diagnosis. After salvage therapy, 44 patients(88%) in the group 1 achieved CR2, compared to 26 patients (29%) in the group 2. The median duration of CR2 was 9 mo (range 2–64) and 3 mo (range 1–34) in group 1 and 2 respectively. NRM was 17/140: 12 patients (24%) in the allo-SCT group and 5 (6%) in group 2. The 2yOS was 57% and 23% respectively (p=0,000). Moreover, among 50 alloSCT patients, survival was affected by risk category at diagnosis: 2yOS of 19 (38%) standard risk patients was 83% compared to 42% in 31 high risk patients (62%) (p=0.01). This risk stratification has no impact on OS in the group 2. CONCLUSIONS DFS > 12 mo and standard risk category at diagnosis, according to NILG protocol, are the most important independent positive prognostic factors impacting OS of AML relapsed patients. The availibility of a HLA matched donor and a subsequent intensification with alloSCT may offer substantial salvage rates and its outcome is affected by the risk stratification at diagnosis. Nevertheless, high risk patients could benefit from alloSCT, reaching an 2yOS of 42%.


2017 ◽  
Vol 84 (4) ◽  
pp. 262-266 ◽  
Author(s):  
Sasivimon Soonsawad ◽  
Buranee Swatesutipun ◽  
Anchalee Limrungsikul ◽  
Pracha Nuntnarumit

2021 ◽  
Vol 33 (3) ◽  
Author(s):  
Alberto Belenguer-Muncharaz ◽  
Maria-Lidón Mateu-Campos ◽  
Bárbara Vidal-Tegedor ◽  
María- Desamparados Ferrándiz-Sellés ◽  
Maria-Luisa Micó-Gómez ◽  
...  

2021 ◽  
Vol 50 (6) ◽  
pp. 467-473
Author(s):  
Amit Kansal ◽  
Shekhar Dhanvijay ◽  
Andrew Li ◽  
Jason Phua ◽  
Matthew Edward Cove ◽  
...  

Introduction: Despite adhering to criteria for extubation, up to 20% of intensive care patients require re-intubation, even with use of post-extubation high-flow nasal cannula (HFNC). This study aims to identify independent predictors and outcomes of extubation failure in patients who failed postextubation HFNC. Methods: We conducted a multicentre observational study involving 9 adult intensive care units (ICUs) across 5 public hospitals in Singapore. We included patients extubated to HFNC following spontaneous breathing trials. We compared patients who were successfully weaned off HFNC with those who failed HFNC (defined as re-intubation ≤7 days following extubation). Generalised additive logistic regression analysis was used to identify independent risk factors for failed HFNC. Results: Among 244 patients (mean age: 63.92±15.51 years, 65.2% male, median APACHE II score 23.55±7.35), 41 (16.8%) failed HFNC; hypoxia, hypercapnia and excessive secretions were primary reasons. Stroke was an independent predictor of HFNC failure (odds ratio 2.48, 95% confidence interval 1.83–3.37). Failed HFNC, as compared to successful HFNC, was associated with increased median ICU length of stay (14 versus 7 days, P<0.001), ICU mortality (14.6% versus 2.0%, P<0.001) and hospital mortality (29.3% versus 12.3%, P=0.006). Conclusion: Post-extubation HFNC failure, especially in patients with stroke as a comorbidity, remains a clinical challenge and predicts poorer clinical outcomes. Our observational study highlights the need for future prospective trials to better identify patients at high risk of post-extubation HFNC failure. Keywords: Adult, airway extubation, high-flow nasal cannula, mechanical ventilation, respiratory failure


Sign in / Sign up

Export Citation Format

Share Document