Objective: To describe esophageal atresia mortality rates and their associations in our cohort.
Study Design: Patients with esophageal atresia, managed at The Royal Children's Hospital, Melbourne (1980-2018), who subsequently died, were retrospectively identified from the prospective Nate Myers Oesophageal Atresia database. Data collected included patient and maternal demographics, vertebral anomalies, anorectal malformations, cardiovascular anomalies, tracheoesophageal fistula, renal anomalies, and limb defects (VACTERL) associations, mortality risk factors, and preoperative, operative, and postoperative findings. Mortality before discharge was defined as death during the initial admission.
Results: A total of 88 of the 650 patients (13.5%) died during the study period; mortality before discharge occurred in 66 of the 88 (75.0%); mortality after discharge occurred in 22 of the 88 (25.0%). Common causes of mortality before discharge were palliation for respiratory anomalies (15/66 [22.7%]), associated syndromes (11/66 [16.7%]), and neurologic anomalies (10/66 [15.2%]). The most common syndrome leading to palliation was trisomy 18 (7/66 [10.6%]). Causes of mortality after discharge had available documentation for 17 of 22 patients (77.3%). Common causes were respiratory compromise (6/17 [35.3%]), sudden unexplained deaths (6/17 [35.3%]), and Fanconi anemia (2/17 [11.8%]). Of the patients discharged from hospital, 22 of 584 (3.8%) subsequently died. There was no statistical difference in VACTERL association between mortality before discharge (31/61 [50.8%]) and mortality after discharge (11/20 [55.0%]), nor in incidence of twins between mortality before discharge (8/56 [14.3%]) and mortality after discharge (2/18 [11.1%]).
Conclusions: We identified predictors of mortality in patients with esophageal atresia in a large prospective cohort. Parents of children with esophageal atresia must be counselled appropriately as to the likelihood of death after discharge from hospital.
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http://dx.doi.org/10.1016/j.jpeds.2019.12.031 | DOI Listing |
Nurs Crit Care
January 2025
Department of Critical Care Medicine, Shenzhen Nanshan People's Hospital and the 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
Background: Coronary care unit (CCU) patients surviving to discharge still face significant mortality. Delirium is common in CCU patients and has been associated with poorer CCU and in-hospital outcomes.
Aim: To assess the association between delirium and mortality after hospital discharge in CCU survivors.
JAMA Netw Open
January 2025
RAND Health, RAND, Boston, Massachusetts.
Importance: Long-term nursing home stay or death (long-term NH stay or death), defined as new long-term residence in a nursing home or death following hospital discharge, is an important patient-centered outcome.
Objective: To examine whether the COVID-19 pandemic was associated with changes in long-term NH stay or death among older adults with sepsis, and whether these changes were greater in individuals from racial and ethnic minoritized groups.
Design, Setting, And Participants: This cross-sectional study used patient-level data from the Medicare Provider Analysis and Review File, the Master Beneficiary Summary File, and the Minimum Data Set.
J Peripher Nerv Syst
March 2025
Intermediate Care Unit, Hospital of Palamos, Palamos, Spain.
Background And Aims: A recent study reported that Oropouche virus (OROV) infection may play a role in the etiology of Guillain-Barré syndrome. We aimed to identify the neurological performance, disease-modifying therapies, and clinical outcomes related to patients with Oropouche-associated Guillain-Barré syndrome admitted to the critical care unit.
Methods: This was an analysis of 210 patients diagnosed with Guillain-Barré syndrome and suspicion of Oropouche viral infection admitted to the critical care units from June 2024 to September 2024 using the national administrative healthcare data.
Intensive Care Med Exp
January 2025
Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
Background: The discharge practices from the intensive care unit exhibit heterogeneity and the recognition of eligible patients for discharge is often delayed. Recognizing the importance of safe discharge, which aims to minimize readmission and mortality, we developed a dynamic machine-learning model. The model aims to accurately identify patients ready for discharge, offering a comparison of its effectiveness with physician decisions in terms of safety and discrepancies in discharge readiness assessment.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Delray Medical Center, Division of Trauma and Critical Care Services, 5352 Linton Boulevard, Delray Beach, FL, 33484, USA.
Purpose: Many patients originally transported to non-trauma centers (NTC) require transfer to a trauma center (TC) for treatment. The aim was to analyze injury characteristics and outcomes of transfer patients and investigate the secondary overtriage (SOT).
Methods: Study included 2,056 transfers to an urban level 1 TC between 01/2016 and 06/2020.
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