Mortality of Acute Hypoxemic Respiratory Failure Compared with Acute Respiratory Distress Syndrome in Critically Ill Patients

Author(s):  
L. Torres ◽  
E. Finkelsztein ◽  
C. Oromendia ◽  
E. Schenck ◽  
A. Higuera ◽  
...  
1998 ◽  
Vol 7 (5) ◽  
pp. 335-345 ◽  
Author(s):  
MA Curley ◽  
JC Fackler

OBJECTIVE: The purpose of the study was to describe the patterns of weaning from mechanical ventilation in young children recovering from acute hypoxemic respiratory failure. METHODS: Decision-making rules on progressive weaning were developed and applied to existing data on 82 patients 2 weeks to 6 years old in the Pediatric Acute Respiratory Distress Syndrome Data Set. RESULTS: Three patterns of weaning progress were detected: sprint, consistent, and inconsistent. Length of ventilation and weaning progressively increased from the sprint, to the consistent, to the inconsistent subset. Patients in the inconsistent subset were most likely to have a systemic (sepsis or shock) trigger of acute respiratory distress syndrome and to be rated as having at least moderate disability at discharge. Hypothesis-generating univariate and then multivariate logistic regression analyses indicated that patients who experienced more days of mechanical ventilation before the start of weaning and who had a higher oxygenation index during the weaning process were most likely to have an inconsistent pattern of weaning. CONCLUSION: Patterns of weaning are discernible in a population of young children and indicate a subset at risk for inconsistent weaning. Knowing the patterns of weaning may help clinicians anticipate, perhaps plot, and then modulate a patient's weaning trajectory.


2020 ◽  
Author(s):  
Neha Alhad Sathe ◽  
Leila R. Zelnick ◽  
Carmen Mikacenic ◽  
Eric D. Morrell ◽  
Pavan K. Bhatraju ◽  
...  

Abstract Background Identifying effective therapies in heterogeneous conditions like acute hypoxemic respiratory failure (AHRF) depends on defining sub-phenotypes with distinct prognosis or therapeutic response. Prior efforts have focused on acute respiratory distress syndrome (ARDS), although ARDS is a minority of all AHRF patients, has limited reliability in research, and is similarly heterogeneous. We propose a novel AHRF sub-phenotype called persistent hypoxemic respiratory failure (PHRF), defined by PaO2:FiO2 ratio ≤ 300 in individuals still requiring mechanical ventilation on day 3 following intubation. We hypothesized individuals with PHRF (+ PHRF) have greater mortality than individuals without PHRF (-PHRF), irrespective of ARDS (+/-ARDS). Methods We included mechanically ventilated AHRF patients (n = 768) from a single-center prospective cohort of medical and surgical ICU patients. We estimated the relative risk of 28-day inpatient mortality associated with + PHRF compared to -PHRF using generalized linear models. We also compared mortality and baseline log-transformed plasma biomarkers of inflammation and endothelial activation/dysfunction in + PHRF/-ARDS, -PHRF/+ARDS, and + PHRF/+ARDS compared to -PHRF/-ARDS. Results Cumulative incidence of + PHRF was 53% (n = 408), of whom 51% were + ARDS by ICU day 3 (n = 209). +PHRF was associated with a 1.55-fold higher risk of death (95% CI: 1.02, 2.34) compared to -PHRF, adjusting for demographics, chronic respiratory disease, and APACHE-III. Absolute mortality was higher in + PHRF/+ARDS (23%) and + PHRF/+ARDS (15%) patients than -PHRF/+ARDS (12%) and -PHRF/-ARDS (7%) patients. Interleukin-6 was 2.36-fold (95% CI: 1.47, 3.80) and 2.62-fold (1.63, 4.20) higher in + PHRF/-ARDS and + PHRF/+ARDS compared to -PHRF/-ARDS; granulocyte-colony stimulating factor was 1.96-fold (95% CI: 1.28, 3.01) and 1.82-fold (95% CI: 1.16, 2.85) higher; angiopoeitin-2 was 1.32-fold (95% CI: 1.01, 1.73) and 1.59-fold (95% CI: 1.21, 2.09) higher. In contrast, -PHRF/+ARDS patients did not have significantly different mortality or plasma biomarkers from -PHRF/-ARDS patients in adjusted models. Conclusions PHRF represents a common sub-phenotype of patients with AHRF, characterized by higher mortality and higher biomarkers of inflammation and endothelial dysfunction than -PHRF. PHRF captures many high-risk patients not included in current ARDS definition who may share biologic features with ARDS. Identifying patients with PHRF can support clinical prognostication and targeted trial enrollment for investigational therapies in the broad AHRF population.


2021 ◽  
Vol 10 (13) ◽  
pp. 2935
Author(s):  
Jose Bordon ◽  
Ozan Akca ◽  
Stephen Furmanek ◽  
Rodrigo Silva Cavallazzi ◽  
Sally Suliman ◽  
...  

Acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19) pneumonia is the main cause of the pandemic’s death toll. The assessment of ARDS and time on invasive mechanical ventilation (IMV) could enhance the characterization of outcomes and management of this condition. This is a city-wide retrospective study of hospitalized patients with COVID-19 pneumonia from 5 March 2020 to 30 June 2020. Patients with critical illness were compared with those with non-critical illness. We examined the severity of ARDS and other factors associated with (i) weaning patients off IMV and (ii) mortality in a city-wide study in Louisville, KY. Of 522 patients with COVID-19 pneumonia, 219 (41.9%) were critically ill. Among critically ill patients, the median age was 60 years; 53% were male, 55% were White and 32% were African American. Of all critically ill patients, 52% had ARDS, and 38% of these had severe ARDS. Of the 25% of patients who were weaned off IMV, those with severe ARDS were weaned within eleven days versus five days for those without severe ARDS, p = 0.023. The overall mortality for critically ill patients was 22% versus 1% for those not critically ill. Furthermore, the 14-day mortality was 31% for patients with severe ARDS and 12% for patients without severe ARDS, p = 0.019. Patients with severe ARDS versus non-severe ARDS needed twice as long to wean off IMV (eleven versus five days) and had double the 14-day mortality of patients without severe ARDS.


2020 ◽  
Vol 46 (6) ◽  
pp. 1222-1231 ◽  
Author(s):  
Catherine L. Auriemma ◽  
Hanjing Zhuo ◽  
Kevin Delucchi ◽  
Thomas Deiss ◽  
Tom Liu ◽  
...  

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