# Real Time Predictive analytics of Hemodynamic Clinical Deterioration during the Preterm Transistion to Extra Uterine Life > **NIH NIH K23** · UNIVERSITY OF IOWA · 2020 · $160,618 ## Abstract  DESCRIPTION (provided by applicant): The candidate applying for this award is an Assistant Professor of Pediatrics at Baylor College of Medicine (BCM). She has obtained a Master's of Science degree through the BCM Clinical Scientist Training Program and has published several first-author manuscripts in well-respected peer-reviewed pediatric journals. Her research focus is the hemodynamic status of extremely low birth weight (ELBW) infants. Extreme prematurity is an important public health problem in the U.S. because these infants are disproportionately affected by moderate to severe long-term disabilities, which are quite costly. There is little information, however, on the prevention of the short-term outcomes that result in disabilities in ELBW infants, most of which likely have their genesis from hemodynamic clinical deterioration during the first week of life. The overall objective of this proposed NHLBI Career Development Award application is to develop a series of multivariate clinical deterioration indices (CDIs) which will provide, in real-time, continuous and calibrated measurements of the likelihood of experiencing certain debilitating outcomes (and 1 clinical variable and 1 milestone) in ELBW infants and depict whether the responses to clinical interventions were successful. This will be accomplished through 3 specific aims, which are to: 1) Create independent CDIs from analysis of the physiologic inputs during the first week most associated with short-term outcomes (or the clinical variable/milestone) in ELBW infants; 2) Measure changes in each CDI prior to and after interventions used to treat hemodynamic clinical deterioration; and 3) Validate each CDI prospectively in a separate cohort of ELBW infants. In Aim 1, CDIs will be developed based on normalized logistic regression models. Separate models will be developed for each of 6 specific outcomes/clinical variable/milestone (intraventricular hemorrhage, periventricular leukomalacia, maternal creatinine clearance, necrotizing enterocolitis, intestinal perforation, and time to reach full feeds). For Aim 2, in the subset of this cohort who received interventions (e.g. fluid boluses or vasoactive medications), the CDI will be analyzed prior to and after each intervention to evaluate responses to treatment of perceived hemodynamic clinical deterioration. The final portion (Specific Aim 3) of the proposed research is validation of the CDIs in a separate cohort. Upon completion of the proposed research, the CDIs can be used in real-time to manage therapies with an evidence- and physiology-based approach never before available to clinicians or researchers. This will promote a shift from population-centric to individualized data- driven approaches, providing more effective care and surveillance for complex patients. The candidate will acquire important skills on her pathway to independence. Training activities during the award period include coursework and training in targeted neonatal... ## Key facts - **NIH application ID:** 9993559 - **Project number:** 5K23HL130522-06 - **Recipient organization:** UNIVERSITY OF IOWA - **Principal Investigator:** DANIELLE RAE RIOS - **Activity code:** K23 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $160,618 - **Award type:** 5 - **Project period:** 2019-09-01 → 2023-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/9993559 ## Citation > US National Institutes of Health, RePORTER application 9993559, Real Time Predictive analytics of Hemodynamic Clinical Deterioration during the Preterm Transistion to Extra Uterine Life (5K23HL130522-06). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9993559. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*