Key Publications

Analytics in Adults

Blackburn, H. N., Clark, M. T., Moorman, J. R., Lake, D. E., & Calland, J. F. (2018). Identifying the low risk patient in surgical intensive and intermediate care units using continuous monitoring. Surgery, 163(4), 811–818.

Blackburn, H. N., Clark, M. T., Moss, T. J., Young, J. S., Moorman, J. R., Lake, D. E., & Calland, J. F. (2017). External validation in an intermediate unit of a respiratory decompensation model trained in an intensive care unit. Surgery, 161(3), 760–770.

Blackwell, J. N., Keim-Malpass, J., Clark, M. T., Kowalski, R. L., Najjar, S. N., Bourque, J. M., Lake, D. E., Moorman, J. R. (2020). Early Detection of In-Patient Deterioration. Critical Care Explorations, 2(5), e0116. 

Carrara M, Carozzi L, Moss TJ, de Pasquale M, Cerutti S, Ferrario M, Lake DE, Moorman JR. Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy. Physiological Measurement. 2015;36(9):1873-1888.

Davis, J. P., Wessells, D. A., & Moorman, J. R. (2020). Coronavirus Disease 2019 Calls for Predictive Analytics Monitoring-A New Kind of Illness Scoring System. Critical care explorations, 2(12), e0294. 

DeMazumder D, Lake DE, Cheng A, Moss TJ, Guallar E, Weiss RG, Jones SR, Tomaselli GF, Moorman JR. Dynamic analysis of cardiac rhythms for discriminating atrial fibrillation from lethal ventricular arrhythmias. Circulation (Arrhythmia and Electrophysiology). 2013;6(3):555-561.

De Pasquale, M., Moss, T. J., Cerutti, S., Calland, J. F., Lake, D. E., Moorman, J. R., & Ferrario, M. (2017). Hemorrhage prediction models in surgical intensive care: bedside monitoring data adds information to lab values. IEEE j of biomedical and health informatics, 21(6), 1703–1710. 

Gadrey, S. M., Clay, R., Zimmet, A. N., Lawson, A. S., Oliver, S. F., Richardson, E. D., Forrester, VJ., Andris, RT., Rhodes, GT., Voss, JD., Moore, CC., Moorman, J. R. (2020). The Relationship between Acuity of Organ Failure and Predictive Validity of Sepsis-3 Criteria. Critical care explorations, 2(10), e0199. 

Gadrey, S. M., Lau, C. E., Clay, R., Rhodes, G. T., Lake, D. E., Moore, C. C., Voss, JD., Moorman, J. R. (2019). Imputation of partial pressures of arterial oxygen using oximetry and its impact on sepsis diagnosis. Physiological Measurement, 40(11), 115008. 

Glass, G., Hartka, T. R., Keim-Malpass, J., Enfield, K. B., & Clark, M. T. (2020). Dynamic data in the ED predict requirement for ICU transfer following acute care admission. J of Clinical Monitoring and Computing

Horton, W. B., Barros, A. J., Andris, R. T., Clark, M. T., & Moorman, J. R. (2021). Pathophysiologic signature of impending ICU hypoglycemia in bedside monitoring and electronic health record data: model development and external validation. Critical Care Medicine

Kausch, S. L., Moorman, J. R., Lake, D. E., & Keim-Malpass, J. (2021). Physiological machine learning models for prediction of sepsis in hospitalized adults: An integrative review. Intensive & critical care nursing. 

Keim-Malpass, J., Clark, M. T., Lake, D. E., & Moorman, J. R. (2020). Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring. J of Clinical Monitoring and Computing, 34(4), 797–804.

Keim-Malpass, J., Enfield, K. B., Calland, J. F., Lake, D. E., & Clark, M. T. (2018). Dynamic data monitoring improves predictive analytics for failed extubation in the ICU. Physiological Measurement, 39(7), 075005. 

Keim-Malpass, J., Kitzmiller, R. R., Skeeles-Worley, A., Lindberg, C., Clark, M. T., Tai, R., Calland, JF., Sullivan, K., Moorman, JR., Anderson, R. A. (2018). Advancing Continuous Predictive Analytics Monitoring: Moving from Implementation to Clinical Action in a Learning Health System. Critical care nursing clinics of North America, 30(2), 273–287. 

Keim-Malpass, J., Ratcliffe, S. J., Moorman, L. P., Clark, M. T., Krahn, K. N., Monfredi, O. J., Hamil, SH., Yousefvand, G., Moorman, JR., Bourque, J. M. (2021). Predictive Monitoring: IMPact in Acute Care Cardiology Trial (PM-IMPACCT) – A Randomized Clinical Trial Protocol. JMIR research protocols.

Kitzmiller, R. R., Vaughan, A., Skeeles-Worley, A., Keim-Malpass, J., Yap, T. L., Lindberg, C., Kennerly S., Mitchell C., Tai R., Sullivan, BA., Anderson RA., Moorman, J. R. (2019). Diffusing an innovation: clinician perceptions of continuous predictive analytics monitoring in intensive care. Applied clinical informatics, 10(2), 295–306.

Lake DE, Moorman JR. Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices. American Journal of Physiology. 2011;300(1):H319-25.

Lensen, I. S., Monfredi, O. J., Andris, R. T., Lake, D. E., & Moorman, J. R. (2020). Heart rate fragmentation gives novel insights into non-autonomic mechanisms governing beat-to-beat control of the heart’s rhythm. JRSM cardiovascular disease, 9.

Moss, T. J., Calland, J. F., Enfield, K. B., Gomez-Manjarres, D. C., Ruminski, C., DiMarco, J. P., Lake, DE., Moorman, J. R. (2017). New-Onset Atrial Fibrillation in the Critically Ill. Critical Care Medicine, 45(5), 790–797.

Moss TJ, Clark MT, Calland JF, Enfield KB, Voss JD, Lake DE, Moorman JR. Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients. PLoS ONE. 2017;12(8):e0181448.

Moss, T. J., Lake, D. E., Calland, J. F., Enfield, K. B., Delos, J. B., Fairchild, K. D., & Moorman, J. R. (2016). Signatures of subacute potentially catastrophic illness in the ICU: model development and validation. Critical Care Medicine, 44(9), 1639–1648. 

Moss TJ, Lake DE, Moorman JR.  Local dynamics of heart rate: detection and prognostic implications.  Physiological Measurement 2014. 35:1929-42.

Politano AD, Riccio LM, Lake DE, Rusin CG, Guin LE, Josef CS, Clark MT, Sawyer RG, Moorman JR, Calland JF. Predicting the need for urgent intubation in a surgical/trauma intensive care unitSurgery. 2013; 154: 1110-1116.

Ruminski, C. M., Clark, M. T., Lake, D. E., Kitzmiller, R. R., Keim-Malpass, J., Robertson, M. P., Simons, TR., Moorman, JR., Calland, J. F. (2019). Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit. J of Clinical Monitoring and Computing, 33(4), 703–711.

Zimmet, A. N., Clark, M. T., Gadrey, S. M., Bell, T. D., Zimmet, A. M., Moorman, J. R., & Moore, C. C. (2020). Pathophysiologic signatures of bloodstream infection in critically ill adults. Critical care explorations, 2(10), e0191.

Analytics in Children

Kowalski, R. L., Lee, L., Spaeder, M. C., Moorman, J. R., & Keim-Malpass, J. (2021). Accuracy and monitoring of pediatric early warning score (PEWS) scores prior to emergent pediatric intensive care unit (ICU) transfer: retrospective analysis. JMIR Pediatrics and Parenting, 4(1), e25991.

Spaeder, M. C., Moorman, J. R., Tran, C. A., Keim-Malpass, J., Zschaebitz, J. V., Lake, D. E., & Clark, M. T. (2019). Predictive analytics in the pediatric intensive care unit for early identification of sepsis: capturing the context of age. Pediatric Research, 86(5), 655–661.

Analytics in Infants

Alonzo, C J, Nagraj, V. P., Zschaebitz, J. V., Lake, D. E., Moorman, J. R., & Spaeder, M. C. (2020). Blood pressure ranges via non-invasive and invasive monitoring techniques in premature neonates using high resolution physiologic data. J of neonatal-perinatal medicine, 13(3), 351–358.

Alonzo, Corrie J, Nagraj, V. P., Zschaebitz, J. V., Lake, D. E., Moorman, J. R., & Spaeder, M. C. (2018). Heart rate ranges in premature neonates using high resolution physiologic data.

Clark, M. T., Delos, J. B., Lake, D. E., Lee, H., Fairchild, K. D., Kattwinkel, J., & Moorman, J. R. (2016). Stochastic modeling of central apnea events in preterm infants. Physiological Measurement, 37(4), 463–484. 

Clark MT, Rusin CG, Hudson JL, Lee H, Delos JB, Guin LE, Vergales BD, Paget-Brown AO, Kattwinkel J, Lake DE, Moorman JR.   Breath-by-breath analysis of cardiorespiratory interaction in premature infants.  Journal of Applied Physiology, 2012; 112:859-867.

Dennery, PA, Di Fiore, JM, Ambalavanan, N, Bancalari, E, Carroll, JL, Claure, N, Hamvas A, Hibbs, AM, Indic, P, Kemp, J, Krahn, KN, Lake, DE, Laposky, A, Martin, RJ, Natarajan, A, Rand, C, Schau, M, Weese-Mayer, DE, Zimmet, AM, Moorman, JR. (2019). Pre-Vent: the prematurity-related ventilatory control study. Pediatric Research, 85(6), 769–776.

Fairchild, K. D., Lake, D. E., Kattwinkel, J., Moorman, J. R., Bateman, D. A., Grieve, P. G., Isler, JR., Sahni, R. (2017). Vital signs and their cross-correlation in sepsis and NEC: a study of 1,065 very-low-birth-weight infants in two NICUs. Pediatric Research, 81(2), 315–321.

Fairchild, K. D., Nagraj, V. P., Sullivan, B. A., Moorman, J. R., & Lake, D. E. (2019). Oxygen desaturations in the early neonatal period predict development of bronchopulmonary dysplasia. Pediatric Research, 85(7), 987–993.

Fairchild, K., Mohr, M., Paget-Brown, A., Tabacaru, C., Lake, D., Delos, J., Moorman, JR., Kattwinkel, J. (2016). Clinical associations of immature breathing in preterm infants: part 1-central apnea. Pediatric Research, 80(1), 21–27.

Flower AA, Moorman JR, Lake DE, Delos JB.  Periodic heart rate decelerations in premature infants.  Experimental Biology and Medicine 235 (4): 531-538, 2010.

Kovatchev BP, Farhy LS, Cao H, Griffin MP, Lake DE, Moorman JR. Sample asymmetry analysis of heart rate characteristics with application to neonatal sepsis and systemic inflammatory response syndromePediatric Research, 54: 892-8, 2003.

Lee H, Rusin CG, Lake DE, Clark MT, Guin LE, Smoot TJ, Paget-Brown AO, Vergales BD, Kattwinkel J, Moorman JR, Delos JB.   A new algorithm for detecting central apnea in neonates. Physiological Measurement. 33: 1-17, 2012.

Lake DE, Richman JS, Griffin MP, Moorman JR. Sample entropy analysis of neonatal heart rate variability. American Journal of Physiology. 2002;283(3):R789-97.

Lake DE, Fairchild KD, Moorman JR. Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis.  Journal of Clinical Monitoring and Computing. 2014.  28: 329-39.

Moorman JR, Carlo WA, Kattwinkel J, Schelonka RL, Porcelli PJ, Navarrete CT, Bancalari E, Aschner JL, Whit Walker M, Perez JA, Palmer C, Stukenborg GJ, Lake DE, Michael O’Shea T. Mortality reduction by heart rate characteristic monitoring in very low birth weight neonates: a randomized trial. Journal of Pediatrics. 2011;159(6):900-6.e1

Moss TJ, Clark MT, Lake DE, Moorman JR, Calland JF.  Heart rate dynamics preceding hemorrhage in the intensive care unit.  J Electrocardiology. 2015;48:1075-80

Nagraj, V. P., Sinkin, R. A., Lake, D. E., Moorman, J. R., & Fairchild, K. D. (2019). Recovery from bradycardia and desaturation events at 32 weeks corrected age and NICU length of stay: an indicator of physiologic resilience? Pediatric Research, 86(5), 622–627.

Patel, M., Mohr, M., Lake, D., Delos, J., Moorman, J. R., Sinkin, R. A., Kattwinkel, J., Fairchild, K. (2016). Clinical associations with immature breathing in preterm infants: part 2-periodic breathing. Pediatric Research, 80(1), 28–34.

Sullivan, B. A., McClure, C., Hicks, J., Lake, D. E., Moorman, J. R., & Fairchild, K. D. (2016). Early heart rate characteristics predict death and morbidities in preterm infants. The J of Pediatrics, 174, 57–62. 

Sullivan, B. A., Wallman-Stokes, A., Isler, J., Sahni, R., Moorman, J. R., Fairchild, K. D., & Lake, D. E. (2018). Early pulse oximetry data improves prediction of death and adverse outcomes in a two-center cohort of very low birth weight infants. American J of Perinatology, 35(13), 1331–1338. 

Vergales BD, Paget-Brown AO, Lee H, Guin LE, Smoot TJ, Rusin CG, Clark MT, Delos JB, Lake DE, Moorman JR, Kattwinkel J.  Accurate automated apnea analysis in preterm infantsAmerican Journal of Perinatology 2014. 31: 157-62.

Zimmet, A. M., Sullivan, B. A., Fairchild, K. D., Moorman, J. R., Isler, J. R., Wallman-Stokes, A. W., Sahni R., Vesoulis, ZA., Ratcliffe, SJ., Lake, D. E. (2021). Vital sign metrics of VLBW infants in three NICUs: implications for predictive algorithms. Pediatric Research

Zimmet, A. M., Sullivan, B. A., Moorman, J. R., Lake, D. E., & Ratcliffe, S. J. (2020). Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality. JRSM cardiovascular disease, 9.

Equitable Analytics

Levinson, M. A., Niestroy, J., Al Manir, S., Fairchild, K., Lake, D. E., Moorman, J. R., & Clark, T. (2021). FAIRSCAPE: a framework for FAIR and reproducible biomedical analytics. Neuroinformatics

Richman JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology. 2000;278(6):H2039-49.











Predictive analytics monitoring in infants

Fairchild K, Mohr M, Paget-Brown A, Tabacaru C, Lake D, Delos J, Moorman JR, Kattwinkel J. Clinical associations of immature breathing in preterm infants. Part 1: Central Apnea. Pediatr Res 2016.

Patel M, Mohr M, Lake DE, Delos JB, Moorman JR, Sinkin R, Kattwinkel J, Fairchild K.  Clinical associations of immature breathing in preterm infants. Part 2: Periodic Breathing. Pediatr Res 2016.