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The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study

BACKGROUND: Despite Trisomy 13 and 18 being among the most fatal congenital anomalies, limited information exists about resource utilization and factors associated with length of stay (LOS) and total hospital charges (THC) for these anomalies. METHODS: We studied data sets of the patient discharge d...

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Autores principales: Haghnazarian, Edith, Hu, Jiaqi, Song, Ashley Y., Friedlich, Philippe S., Lakshmanan, Ashwini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062359/
https://www.ncbi.nlm.nih.gov/pubmed/30935949
http://dx.doi.org/10.1016/j.pedneo.2019.02.007
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author Haghnazarian, Edith
Hu, Jiaqi
Song, Ashley Y.
Friedlich, Philippe S.
Lakshmanan, Ashwini
author_facet Haghnazarian, Edith
Hu, Jiaqi
Song, Ashley Y.
Friedlich, Philippe S.
Lakshmanan, Ashwini
author_sort Haghnazarian, Edith
collection PubMed
description BACKGROUND: Despite Trisomy 13 and 18 being among the most fatal congenital anomalies, limited information exists about resource utilization and factors associated with length of stay (LOS) and total hospital charges (THC) for these anomalies. METHODS: We studied data sets of the patient discharge data set from the California Office of Statewide Health Planning and Development from 2006 to 2010, to determine differences in resource utilization for survivors and non-survivors and identify the predictors of LOS and total hospital charges. Descriptive statistics were assessed for demographic and clinical characteristics. General linear regression models were used to identify predictors of LOS and THC. RESULTS: Seventy-six Trisomy 13 and 115 Trisomy 18 patients were identified, for whom inpatient mortality was 27.6% and 20.9%, respectively. In patients with Trisomy 13, after adjusting for gender, ethnicity, advanced directive (DNR), insurance and co-morbidities on multivariate analysis, the provision of more than 96 h of mechanical ventilation was associated with significantly increased LOS (standard error, SE) by 18.0 ± 5.3 days and THC (SE) by $399,000 ± $85,000. In terms of insurance type, patients with private coverage had 10.8 ± 4.9 days more than patients with Medicaid. In patients with Trisomy 18, on multivariate analysis, after adjusting for gender, ethnicity, DNR, insurance and co-morbidities, more than 96 h of mechanical ventilation was associated with increased LOS (SE) by 36.8 ± 6.8 days and THC (SE) by $365,000 ± $59,000. CONCLUSION: Understanding predictors that are associated with longer LOS and higher THC may be associated in hospital resource allocation for this vulnerable population of infants.
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spelling pubmed-70623592020-03-09 The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study Haghnazarian, Edith Hu, Jiaqi Song, Ashley Y. Friedlich, Philippe S. Lakshmanan, Ashwini Pediatr Neonatol Article BACKGROUND: Despite Trisomy 13 and 18 being among the most fatal congenital anomalies, limited information exists about resource utilization and factors associated with length of stay (LOS) and total hospital charges (THC) for these anomalies. METHODS: We studied data sets of the patient discharge data set from the California Office of Statewide Health Planning and Development from 2006 to 2010, to determine differences in resource utilization for survivors and non-survivors and identify the predictors of LOS and total hospital charges. Descriptive statistics were assessed for demographic and clinical characteristics. General linear regression models were used to identify predictors of LOS and THC. RESULTS: Seventy-six Trisomy 13 and 115 Trisomy 18 patients were identified, for whom inpatient mortality was 27.6% and 20.9%, respectively. In patients with Trisomy 13, after adjusting for gender, ethnicity, advanced directive (DNR), insurance and co-morbidities on multivariate analysis, the provision of more than 96 h of mechanical ventilation was associated with significantly increased LOS (standard error, SE) by 18.0 ± 5.3 days and THC (SE) by $399,000 ± $85,000. In terms of insurance type, patients with private coverage had 10.8 ± 4.9 days more than patients with Medicaid. In patients with Trisomy 18, on multivariate analysis, after adjusting for gender, ethnicity, DNR, insurance and co-morbidities, more than 96 h of mechanical ventilation was associated with increased LOS (SE) by 36.8 ± 6.8 days and THC (SE) by $365,000 ± $59,000. CONCLUSION: Understanding predictors that are associated with longer LOS and higher THC may be associated in hospital resource allocation for this vulnerable population of infants. 2019-03-02 2019-12 /pmc/articles/PMC7062359/ /pubmed/30935949 http://dx.doi.org/10.1016/j.pedneo.2019.02.007 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Haghnazarian, Edith
Hu, Jiaqi
Song, Ashley Y.
Friedlich, Philippe S.
Lakshmanan, Ashwini
The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study
title The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study
title_full The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study
title_fullStr The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study
title_full_unstemmed The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study
title_short The association of Trisomy 13 and 18 and hospital discharge outcomes among neonates in California: A retrospective cohort study
title_sort association of trisomy 13 and 18 and hospital discharge outcomes among neonates in california: a retrospective cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062359/
https://www.ncbi.nlm.nih.gov/pubmed/30935949
http://dx.doi.org/10.1016/j.pedneo.2019.02.007
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