Cargando…
Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit
BACKGROUND: The aim of this study was to identify factors predicting outcome in patients with mitochondrial disease admitted to pediatric intensive care units (PICU). METHODS: Retrospective study of 2434 patients (age <21 years) admitted to a PICU from 1 January 2006 through 31 March 2016 and cap...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903037/ https://www.ncbi.nlm.nih.gov/pubmed/33627817 http://dx.doi.org/10.1038/s41390-021-01410-z |
_version_ | 1783654659151364096 |
---|---|
author | Ehinger, Johannes K. Karlsson, Michael Sjövall, Fredrik Leffler, Märta McCormack, Shana E. Kubis, Sherri E. Åkesson, Anna Falk, Marni J. Kilbaugh, Todd J. |
author_facet | Ehinger, Johannes K. Karlsson, Michael Sjövall, Fredrik Leffler, Märta McCormack, Shana E. Kubis, Sherri E. Åkesson, Anna Falk, Marni J. Kilbaugh, Todd J. |
author_sort | Ehinger, Johannes K. |
collection | PubMed |
description | BACKGROUND: The aim of this study was to identify factors predicting outcome in patients with mitochondrial disease admitted to pediatric intensive care units (PICU). METHODS: Retrospective study of 2434 patients (age <21 years) admitted to a PICU from 1 January 2006 through 31 March 2016 and captured in the Virtual Pediatric Systems database with ICD9 diagnosis 277.87, disorders of mitochondrial metabolism. Factors influencing mortality and prolonged length of stay (≥14 days) were analyzed using logistic regression. RESULTS: Predictors independently affecting mortality (adjusted odds ratios and 95% confidence intervals, p < 0.05): age 1–23 months 3.4 (1.7–6.6) and mechanical ventilation 4.7 (2.6–8.6) were risk factors; post-operative 0.2 (0.1–0.6), readmission 0.5 (0.3–0.9), and neurologic reason for admittance 0.3 (0.1–0.9) were factors reducing risk. Predictors affecting prolonged length of stay: mechanical ventilation 7.4 (5.2–10.3) and infectious reason for admittance 2.0 (1.3–3.2) were risk factors, post-operative patients 0.3 (0.2–0.5) had lower risk. The utility of PRISM and PIM2 scores in this patient group was evaluated. CONCLUSIONS: The single most predictive factor for both mortality and prolonged length of stay is the presence of mechanical ventilation. Age 1–23 months is a risk factor for mortality, and infectious reason for admittance indicates risk for prolonged length of stay. IMPACT: Presence of mechanical ventilation is the factor most strongly associated with negative outcome in patients with mitochondrial disease in pediatric intensive care. Age 1–23 months is a risk factor for mortality, and infectious reason for admittance indicates risk for prolonged length of stay. PRISM3 and PIM2 are not as accurate in patients with mitochondrial disease as in a mixed patient population; |
format | Online Article Text |
id | pubmed-7903037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-79030372021-02-24 Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit Ehinger, Johannes K. Karlsson, Michael Sjövall, Fredrik Leffler, Märta McCormack, Shana E. Kubis, Sherri E. Åkesson, Anna Falk, Marni J. Kilbaugh, Todd J. Pediatr Res Clinical Research Article BACKGROUND: The aim of this study was to identify factors predicting outcome in patients with mitochondrial disease admitted to pediatric intensive care units (PICU). METHODS: Retrospective study of 2434 patients (age <21 years) admitted to a PICU from 1 January 2006 through 31 March 2016 and captured in the Virtual Pediatric Systems database with ICD9 diagnosis 277.87, disorders of mitochondrial metabolism. Factors influencing mortality and prolonged length of stay (≥14 days) were analyzed using logistic regression. RESULTS: Predictors independently affecting mortality (adjusted odds ratios and 95% confidence intervals, p < 0.05): age 1–23 months 3.4 (1.7–6.6) and mechanical ventilation 4.7 (2.6–8.6) were risk factors; post-operative 0.2 (0.1–0.6), readmission 0.5 (0.3–0.9), and neurologic reason for admittance 0.3 (0.1–0.9) were factors reducing risk. Predictors affecting prolonged length of stay: mechanical ventilation 7.4 (5.2–10.3) and infectious reason for admittance 2.0 (1.3–3.2) were risk factors, post-operative patients 0.3 (0.2–0.5) had lower risk. The utility of PRISM and PIM2 scores in this patient group was evaluated. CONCLUSIONS: The single most predictive factor for both mortality and prolonged length of stay is the presence of mechanical ventilation. Age 1–23 months is a risk factor for mortality, and infectious reason for admittance indicates risk for prolonged length of stay. IMPACT: Presence of mechanical ventilation is the factor most strongly associated with negative outcome in patients with mitochondrial disease in pediatric intensive care. Age 1–23 months is a risk factor for mortality, and infectious reason for admittance indicates risk for prolonged length of stay. PRISM3 and PIM2 are not as accurate in patients with mitochondrial disease as in a mixed patient population; Nature Publishing Group US 2021-02-24 2021 /pmc/articles/PMC7903037/ /pubmed/33627817 http://dx.doi.org/10.1038/s41390-021-01410-z Text en © The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Clinical Research Article Ehinger, Johannes K. Karlsson, Michael Sjövall, Fredrik Leffler, Märta McCormack, Shana E. Kubis, Sherri E. Åkesson, Anna Falk, Marni J. Kilbaugh, Todd J. Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
title | Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
title_full | Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
title_fullStr | Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
title_full_unstemmed | Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
title_short | Predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
title_sort | predictors of outcome in children with disorders of mitochondrial metabolism in the pediatric intensive care unit |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903037/ https://www.ncbi.nlm.nih.gov/pubmed/33627817 http://dx.doi.org/10.1038/s41390-021-01410-z |
work_keys_str_mv | AT ehingerjohannesk predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT karlssonmichael predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT sjovallfredrik predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT lefflermarta predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT mccormackshanae predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT kubissherrie predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT akessonanna predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT falkmarnij predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit AT kilbaughtoddj predictorsofoutcomeinchildrenwithdisordersofmitochondrialmetabolisminthepediatricintensivecareunit |