Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants
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Case Western Reserve University School of Graduate Studies / OhioLINK
2018
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ndltd-OhioLink-oai-etd.ohiolink.edu-case15226860422307842021-08-03T07:05:31Z Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants Pax, Benjamin M. Electrical Engineering Computer Science Statistics Epidemiology Mathematics Medicine Bronchopulmonary Dysplasia VLBWI ELGANs Multinomial Logistic Regression Ordinal Logistic Regression a Priori Longitudinal Risk Factors Prediction Statistical Model BPD ROP Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature InfantsABSTRACTByBENJAMIN PAXThis thesis seeks to identify at risk premature infants for Bronchopulmonary Dysplasia (BPD) and to identify new longitudinal risk factors for BPD by postnatal day. A calculator tool has been created to estimate risk of BPD based on a priori risk factors as well as additional clinical variables. The estimator seeks to estimate outcome based on BPD severity (no BPD, mild, moderate, and severe) as defined by the NIH. The variables examined were as follows: birth weight (BW), gestational age (GA), race and ethnicity, sex, type of respiratory support (no support, nasal cannula/hood, CPAP, ventilator, oscillator), mean airway pressure, supplementary oxygen, oxygen severity index, intermittent hypoxemic events, FiO2, SpO2, Snap score, sepsis, and multiple births. Models were evaluated by using a C statistic on a series of multinomial logistic regression models on postnatal days with C Statistic 0.789 on day 1 to 0.945 on day 56. 2018-06-01 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1522686042230784 http://rave.ohiolink.edu/etdc/view?acc_num=case1522686042230784 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center. |
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language |
English |
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topic |
Electrical Engineering Computer Science Statistics Epidemiology Mathematics Medicine Bronchopulmonary Dysplasia VLBWI ELGANs Multinomial Logistic Regression Ordinal Logistic Regression a Priori Longitudinal Risk Factors Prediction Statistical Model BPD ROP |
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Electrical Engineering Computer Science Statistics Epidemiology Mathematics Medicine Bronchopulmonary Dysplasia VLBWI ELGANs Multinomial Logistic Regression Ordinal Logistic Regression a Priori Longitudinal Risk Factors Prediction Statistical Model BPD ROP Pax, Benjamin M. Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants |
author |
Pax, Benjamin M. |
author_facet |
Pax, Benjamin M. |
author_sort |
Pax, Benjamin M. |
title |
Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants |
title_short |
Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants |
title_full |
Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants |
title_fullStr |
Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants |
title_full_unstemmed |
Prediction of Bronchopulmonary Dysplasia by a Priori and Longitudinal Risk Factors in Extremely Premature Infants |
title_sort |
prediction of bronchopulmonary dysplasia by a priori and longitudinal risk factors in extremely premature infants |
publisher |
Case Western Reserve University School of Graduate Studies / OhioLINK |
publishDate |
2018 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=case1522686042230784 |
work_keys_str_mv |
AT paxbenjaminm predictionofbronchopulmonarydysplasiabyaprioriandlongitudinalriskfactorsinextremelyprematureinfants |
_version_ |
1719453427300302848 |