Objective: To evaluate how inotropic requirements in neonates with respiratory failure are affected by extracorporeal membrane oxygenation (ECMO) mode and whether high requirements predict mortality.
Study Design: This retrospective chart review included all neonates undergoing ECMO for primary respiratory failure from 2010 to 2016 at a single institution. The vasoactive inotropy score (VIS) was calculated as described in the literature. Data were analyzed with descriptive statistics and univariate analyses.
Results: Of the 110 identified neonates, 96 underwent venovenous (VV) (87%), 11 (10%) venoarterial, and 3 (3%) converted from VV to venoarterial. The median precannulation VIS score was 33.02 for patients who underwent VV compared with 28.93 for venoarterial (P = .25) and 15 for infants converted. VIS decreased dramatically by 4 hours of ECMO in both groups. The VIS before cannulation was similar in survivors and nonsurvivors, but was significantly higher in nonsurvivors after 24 hours of ECMO (median VIS, 12 [IQR, 8-25] vs 8 [IQR, 3.0-14.5]; P = .035) and at decannulation (10 [IQR, 7-19] vs 3 [IQR, 0-7]; P < .001).
Conclusions: Neonates with respiratory failure can be successfully managed on VV ECMO even with considerable vasoactive requirements. Vasoactive requirement after 24 hours of ECMO was predictive of mortality.
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http://dx.doi.org/10.1016/j.jpeds.2019.07.029 | DOI Listing |
Front Genet
December 2024
Department of Pediatrics, West China Second University Hospital, Chengdu, Sichuan, China.
Background: Autosomal recessive cutis laxa type 1B (ARCL1B) is an extremely rare disease characterized by severe systemic connective tissue abnormalities, including cutis laxa, aneurysm and fragility of blood vessels, birth fractures and emphysema. The severity of this disease ranges from perinatal death to manifestations compatible with survival. To date, no cases have been reported in the Chinese population.
View Article and Find Full Text PDFEur Clin Respir J
January 2025
Department of Cardiothoracic Anesthesia and Intensive Care, The Heart Centre, University Hospital of Copenhagen, Denmark.
E-cigarette or vaping product use-associated lung injury (EVALI) is a potentially severe acute interstitial lung disease primarily observed in the United States, with sporadic cases reported in Europe. EVALI, though rare, could be susceptible to under-diagnosis due to limited awareness and diagnostic suspicion. We present a case of a 19-year-old male in Denmark diagnosed with severe EVALI.
View Article and Find Full Text PDFJAMIA Open
February 2025
Artificial Intelligence (AI) for Health Institute (AIHealth), Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Extracorporeal membrane oxygenation (ECMO) is among the most resource-intensive therapies in critical care. The COVID-19 pandemic highlighted the lack of ECMO resource allocation tools. We aimed to develop a continuous ECMO risk prediction model to enhance patient triage and resource allocation.
View Article and Find Full Text PDFThe opioid epidemic is a pervasive health issue and continues to have a drastic impact on the United States. This is primarily because opioids cause respiratory suppression and the leading cause of death in opioid overdose is respiratory failure ( , opioid-induced respiratory depression, OIRD). Opioid administration can affect the frequency and magnitude of inspiratory motor drive by activating µ-opioid receptors that are located throughout the respiratory control network in the brainstem.
View Article and Find Full Text PDFTrans R Soc Trop Med Hyg
January 2025
Department of Cardiology and Cardiovascular Surgery, Faculdade de Medicina de São José do Rio Preto, SP, 15090-000, Brazil.
Background: Immunological similarities led us to explore potential interactions between Chagas heart disease (CHD) and coronavirus disease 2019 (COVID-19). We evaluated CHD's impact on the short- and long-term clinical courses of COVID-19 patients.
Methods: The CHD group comprised consecutive hospitalized patients (March 2020-March 2022), while the controls were selected through genetic matching based on COVID complications predictors.
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