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Objectives: High Vasoactive-Inotropic Scores have demonstrated association with poor outcomes in pediatric cardiac ICUs and are being calculated more frequently in studies of critically ill noncardiac patients. Available studies differ in their approach to assigning Vasoactive-Inotropic Scores, making direct comparisons difficult. The goal of this investigation is to compare multiple approaches to Vasoactive-Inotropic Score assignment to determine their strength of association with mortality in a general pediatric intensive care population. In doing so, we aim to help validate the use of the Vasoactive-Inotropic Score in noncardiac patients and to help inform future studies of the relative strength of available approaches in assigning this score.
Design: Retrospective chart review.
Setting: PICU at an academic freestanding children's hospital.
Patients: Two-thousand seven-hundred fifty-two consecutive patients admitted over a 17-month time period were screened for receiving inotrope or vasopressor therapies regardless of disease process. Four-hundred seventy-four patients met inclusion criteria.
Interventions: None.
Measurements And Main Results: For each patient treated with continuous infusions of vasoactive medications, a Vasoactive-Inotropic Score was calculated (and then recalculated) every time they had a documented dose change. Multiple strategies were evaluated to generate receiver operating characteristic curves in relation to mortality. Area under the curve was greatest when evaluating the maximum Vasoactive-Inotropic Score (Max Any) during the initial treatment course (0.788) with an increasing relative risk as the score increased. The Vasoactive-Inotropic Score at 48 hours after treatment initiation had next highest area under the curve (0.736). Primary diagnosis categories were also analyzed, and area under the curve was greatest for the cardiovascular group (0.879).
Conclusions: Increasing Vasoactive-Inotropic Scores for patients in the PICU are associated with mortality risk. The scoring strategy used can influence the strength of the association, as can the primary diagnosis category.
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http://dx.doi.org/10.1097/PCC.0000000000001738 | DOI Listing |
Indian Pediatr
September 2025
Division of Pediatric Emergency Medicine, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), Raipur, Chhattisgarh, India.
Pediatr Crit Care Med
September 2025
Department of Cardiac, Respiratory and Critical Care, Evelina London Children's Hospital, London, United Kingdom.
Objectives: To identify factors associated with death, requirement for extracorporeal membrane oxygenation (ECMO), or cardiac intervention in neonates referred for higher level neonatal ICU (NICU) due to respiratory failure.
Design: Retrospective cohort study, 2018-2020.
Setting: Referrals for transport to tertiary-level NICUs using the London Neonatal Transfer Service in the United Kingdom.
Am J Transplant
August 2025
Department of Cardiac Surgery, Vanderbilt University Medical Center, Nashville TN 37232 USA.
This study compares a novel static cold storage (SCS) method using 10°C preservation to conventional ice following thoracoabdominal normothermic regional perfusion (TA-NRP) in donation after circulatory death (DCD) heart transplantation. We retrospectively analyzed adult recipients at a single center from October 2020 to October 2024, excluding congenital and multi-organ transplants. A total of 147 recipients met inclusion criteria (Ice = 96; 10°C = 51).
View Article and Find Full Text PDFLife (Basel)
August 2025
Department of Critical Care Medicine, MacKay Memorial Hospital, Taipei 10449, Taiwan.
: Severe sepsis and septic shock remain major contributors to ICU mortality. Polymyxin B hemoperfusion (PMX-HP) has been widely adopted as adjunctive therapy in Asian ICUs for endotoxemia, but its real-world effectiveness and prognostic factors remain uncertain, especially in high Gram-negative settings. : This retrospective cohort study included 64 adult patients with severe sepsis or septic shock who received at least one session of PMX-HP in a 25-bed tertiary medical ICU in Taiwan between July 2013 and December 2019.
View Article and Find Full Text PDFWorld J Methodol
September 2025
Department of Infectious Diseases, Children's Hospital No. 2, Ho Chi Minh City 700000, Viet Nam.
Background: Severe dengue children with critical complications have been attributed to high mortality rates, varying from approximately 1% to over 20%. To date, there is a lack of data on machine-learning-based algorithms for predicting the risk of in-hospital mortality in children with dengue shock syndrome (DSS).
Aim: To develop machine-learning models to estimate the risk of death in hospitalized children with DSS.