Publications by authors named "R A Lutfi"

Background: Pain control following cardiac surgery can be challenging, and inadequate pain control is associated with postoperative complications. Liposomal bupivacaine can improve postoperative pain control due to its prolonged duration compared with plain bupivacaine. However, there is a paucity of data regarding its efficacy in congenital cardiac surgery.

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Objectives: To assess pediatric critical care transport (CCT) teams' performance in a simulated environment and to explore the impact of team and center characteristics on performance.

Study Design: This observational, multicenter, simulation-based study enlisted a national cohort of pediatric transport centers. Teams participated in 3 scenarios: nonaccidental abusive head injury, sepsis, and cardiac arrest.

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Objectives: We previously derived the updated Pediatric Sepsis Biomarker Risk for Acute Kidney Injury (PERSEVERE-II AKI) prediction model, which had robust diagnostic test characteristics for severe AKI on day 3 (D3 severe AKI) of septic shock. We now sought to validate this model in an independent cohort of children to the one in which the model was developed.

Design: A secondary analysis of a multicenter, prospective, observational study carried out from January 2019 to December 2022.

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Background: Few studies have evaluated the use of laparoscopic staplers in robotic procedures (bedside stapling, BS). This study aims to evaluate the effectiveness of BS compared with robotic staplers (RS) in bariatric robotic procedures.

Methods: Patients who underwent robotic sleeve gastrectomy or gastric bypass elective procedures between 1/1/2021 and 12/31/2021 were extracted from PINC AI™ Healthcare Data.

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Article Synopsis
  • Sepsis is a serious condition affecting children with limited treatment options due to patient variability; this study aimed to analyze different subclasses of pediatric septic shock.
  • Researchers used latent profile analyses on data from 1071 children to identify two phenotypes of septic shock, where Phenotype 1 had worse outcomes compared to Phenotype 2.
  • The study found that Phenotype 1 was associated with specific biomarkers indicating high risk, but there was no significant difference in treatment outcomes between the phenotypes; transcriptomic analysis suggested distinct immune responses in Phenotype 1.
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