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2,486 results on '"Ravi, M."'

5. Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients

Author

Rafiei, Alireza, Moore, Ronald, Choudhary, Tilendra, Marshall, Curtis, Smith, Geoffrey, Roback, John D., Patel, Ravi M., Josephson, Cassandra D., and Kamaleswaran, Rishikesan

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Statistics - Applications
Abstract

Objective: Blood transfusions, crucial in managing anemia and coagulopathy in ICU settings, require accurate prediction for effective resource allocation and patient risk assessment. However, existing clinical decision support systems have primarily targeted a particular patient demographic with unique medical conditions and focused on a single type of blood transfusion. This study aims to develop an advanced machine learning-based model to predict the probability of transfusion necessity over the next 24 hours for a diverse range of non-traumatic ICU patients. Methods: We conducted a retrospective cohort study on 72,072 adult non-traumatic ICU patients admitted to a high-volume US metropolitan academic hospital between 2016 and 2020. We developed a meta-learner and various machine learning models to serve as predictors, training them annually with four-year data and evaluating on the fifth, unseen year, iteratively over five years. Results: The experimental results revealed that the meta-model surpasses the other models in different development scenarios. It achieved notable performance metrics, including an Area Under the Receiver Operating Characteristic (AUROC) curve of 0.97, an accuracy rate of 0.93, and an F1-score of 0.89 in the best scenario. Conclusion: This study pioneers the use of machine learning models for predicting blood transfusion needs in a diverse cohort of critically ill patients. The findings of this evaluation confirm that our model not only predicts transfusion requirements effectively but also identifies key biomarkers for making transfusion decisions.

Published
2024
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11. Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka

Author

Sandhan, Jivnesh, Barbadikar, Amruta, Maity, Malay, Satuluri, Pavankumar, Sandhan, Tushar, Gupta, Ravi M., Goyal, Pawan, and Behera, Laxmidhar

Subjects
Computer Science - Computation and Language
Abstract

Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted to uncovering the hidden beauty of Sanskrit poetry in computational linguistics. This article explores the intersection of Sanskrit poetry and computational linguistics by proposing a roadmap of an interpretable framework to analyze and classify the qualities and characteristics of fine Sanskrit poetry. We discuss the rich tradition of Sanskrit poetry and the significance of computational linguistics in automatically identifying the characteristics of fine poetry. The proposed framework involves a human-in-the-loop approach that combines deterministic aspects delegated to machines and deep semantics left to human experts. We provide a deep analysis of Siksastaka, a Sanskrit poem, from the perspective of 6 prominent kavyashastra schools, to illustrate the proposed framework. Additionally, we provide compound, dependency, anvaya (prose order linearised form), meter, rasa (mood), alankar (figure of speech), and riti (writing style) annotations for Siksastaka and a web application to illustrate the poem's analysis and annotations. Our key contributions include the proposed framework, the analysis of Siksastaka, the annotations and the web application for future research. Link for interactive analysis: https://sanskritshala.github.io/shikshastakam/, Comment: 15 pages

Published
2023

15. Abstracts of the Cell Therapy Transplant Canada 2023 Annual Conference

Author

Stephanie A. Maier, Imran Ahmad, Tobias Berg, Susan Berrigan, Mahmoud Elsawy, Alejandro Garcia-Horton, Wilson Lam, Alix Lapworth, Luciana Melo Garcia, Ravi M. Shah, Ram Vasudevan Nampoothiri, and Jean-Sébastien Delisle

Subjects
hematopoietic cell transplantation, cell therapy, CAR T-cell therapy, GvHD, lymphoma, leukemia, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

On behalf of Cell Therapy Transplant Canada (CTTC), we are pleased to present the Abstracts of the CTTC 2023 Annual Conference. The conference was held in-person, 31 May–2 June 2023, in Halifax, Nova Scotia at the Westin Nova Scotian hotel. Poster authors presented their work during a lively and engaging welcome reception on Thursday, 1 June, and oral abstract authors were featured during the oral abstract session in the afternoon of Friday, 2 June 2023. Twenty-three (23) abstracts were selected for presentation as posters and four (4) as oral presentations. Abstracts were submitted within four categories: (1) Basic/Translational Sciences, (2) Clinical Trials/Observations, (3) Laboratory/Quality, and (4) Pharmacy/Nursing/Other Transplant Support. The top four (4) oral abstracts and top four (4) poster abstracts were selected to receive an award. All of these were marked as “Award Recipient” within the relevant category. We congratulate all the presenters on their research and contributions to the field.

Published
2024
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16. Engineered immunologic niche monitors checkpoint blockade response and probes mechanisms of resistance

Author

Ravi M. Raghani Ph.D., Russell R. Urie Ph.D., Jeffrey A. Ma, Guillermo Escalona, Ian A. Schrack, Katarina M. DiLillo, Pridvi Kandagatla M.D., Joseph T. Decker Ph.D., Aaron H. Morris Ph.D., Kelly B. Arnold Ph.D., Jacqueline S. Jeruss M.D., Ph.D., and Lonnie D. Shea Ph.D.

Subjects
biomaterials, checkpoint blockade, immunotherapy resistance, metastasis, therapy monitoring, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract Antibodies to programmed cell death protein 1 (anti‐PD‐1) have become a promising immunotherapy for triple negative breast cancer (TNBC), blocking PD‐L1 signaling from pro‐tumor cells through T cell PD‐1 receptor binding. Nevertheless, only 10%–20% of PD‐L1+ metastatic TNBC patients who meet criteria benefit from immune checkpoint blockade (ICB), and biomarkers to predict patient response have been elusive. We have previously developed an immunological niche, consisting of a microporous implant in the subcutaneous space, that supports tissue formation whose immune composition is consistent with that within vital organs. Herein, we investigated dynamic gene expression within this immunological niche to provide biomarkers of response to anti‐PD‐1. In a 4T1 model of metastatic TNBC, we observed sensitivity and resistance to anti‐PD‐1 based on primary tumor growth and survival. The niche was biopsied before, during, and after anti‐PD‐1 therapy, and analyzed for cell types and gene expression indicative of treatment refractivity. Myeloid cell‐to‐lymphocyte ratios were altered between ICB‐sensitivity and resistance. Longitudinal analysis of gene expression implicated dynamic myeloid cell function that stratified sensitivity from resistance. A niche‐derived gene signature predicted sensitivity or resistance prior to therapy. Analysis of the niche to monitor immunotherapy response presents a new opportunity to personalize care and investigate mechanisms underlying treatment resistance. Summary: A remote implant identified biomarkers that predict anti‐PD‐1 response before therapy, providing a unique tool to understand heterologous immunotherapy resistance in triple negative breast cancer.

Published
2024
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19. Use of term reference infants in assessing the developmental outcome of extremely preterm infants: lessons learned in a multicenter study

Author

Green, Charles E., Tyson, Jon E., Heyne, Roy J., Hintz, Susan R., Vohr, Betty R., Bann, Carla M., Das, Abhik, Bell, Edward F., Debsareea, Sana Boral, Stephens, Emily, Gantz, Marie G., Petrie Huitema, Carolyn M., Johnson, Karen J., Watterberg, Kristi L., Mosquera, Ricardo, Peralta-Carcelen, Myriam, Wilson-Costello, Deanne E., Colaizy, Tarah T., Maitre, Nathalie L., Merhar, Stephanie L., Adams-Chapman, Ira, Fuller, Janell, Hartley-McAndrew, Michelle E., Malcolm, William F., Winter, Sarah, Duncan, Andrea F., Myer, Gary J., Kicklighter, Stephen D., Wyckoff, Myra H., DeMauro, Sara B., Hibbs, Anna Maria, Stoll, Barbara J., Carlo, Waldemar A., Van Meurs, Krisa P., Rysavy, Matthew A., Patel, Ravi M., Sánchez, Pablo J., Laptook, Abbot R., Cotten, C. Michael, D’Angio, Carl T., and Walsh, Michele C.

Published
2023
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28. A synthetic metastatic niche reveals antitumor neutrophils drive breast cancer metastatic dormancy in the lungs

Author

Jing Wang, Ramon Ocadiz-Ruiz, Matthew S. Hall, Grace G. Bushnell, Sophia M. Orbach, Joseph T. Decker, Ravi M. Raghani, Yining Zhang, Aaron H. Morris, Jacqueline S. Jeruss, and Lonnie D. Shea

Subjects
Science
Abstract

Abstract Biomaterial scaffolds mimicking the environment in metastatic organs can deconstruct complex signals and facilitate the study of cancer progression and metastasis. Here we report that a subcutaneous scaffold implant in mouse models of metastatic breast cancer in female mice recruits lung-tropic circulating tumor cells yet suppresses their growth through potent in situ antitumor immunity. In contrast, the lung, the endogenous metastatic organ for these models, develops lethal metastases in aggressive breast cancer, with less aggressive tumor models developing dormant lungs suppressing tumor growth. Our study reveals multifaceted roles of neutrophils in regulating metastasis. Breast cancer-educated neutrophils infiltrate the scaffold implants and lungs, secreting the same signal to attract lung-tropic circulating tumor cells. Second, antitumor and pro-tumor neutrophils are selectively recruited to the dormant scaffolds and lungs, respectively, responding to distinct groups of chemoattractants to establish activated or suppressive immune environments that direct different fates of cancer cells.

Published
2023
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29. Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients

Author

Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, and Rishikesan Kamaleswaran

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Background: Blood transfusions, crucial in managing anemia and coagulopathy in intensive care unit (ICU) settings, require accurate prediction for effective resource allocation and patient risk assessment. However, existing clinical decision support systems have primarily targeted a particular patient demographic with unique medical conditions and focused on a single type of blood transfusion. This study aims to develop an advanced machine learning-based model to predict the probability of transfusion necessity over the next 24 h for a diverse range of non-traumatic ICU patients. Methods: We conducted a retrospective cohort study on 72,072 non-traumatic adult ICU patients admitted to a high-volume US metropolitan academic hospital between 2016 and 2020. We developed a meta-learner and various machine learning models to serve as predictors, training them annually with 4-year data and evaluating on the fifth, unseen year, iteratively over 5 years. Results: The experimental results revealed that the meta-model surpasses the other models in different development scenarios. It achieved notable performance metrics, including an area under the receiver operating characteristic curve of 0.97, an accuracy rate of 0.93, and an F1 score of 0.89 in the best scenario. Conclusion: This study pioneers the use of machine learning models for predicting the likelihood of blood transfusion receipt in a diverse cohort of critically ill patients. The findings of this evaluation confirm that our model not only effectively predicts transfusion reception but also identifies key biomarkers for making transfusion decisions.

Published
2024
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30. Variation in Neonatal Transfusion Practice

Author

Patel, Ravi M, Hendrickson, Jeanne E, Nellis, Marianne E, Birch, Rebecca, Goel, Ruchika, Karam, Oliver, Karafin, Matthew S, Hanson, Sheila J, Sachais, Bruce S, Hauser, Ronald George, Luban, Naomi LC, Gottschall, Jerome, Josephson, Cassandra D, Sola-Visner, Martha, National Heart, Lung, Mast, AE, Hod, EA, Custer, BS, Vichinsky, EP, Spencer, BR, Mathew, SM, Harris, DR, Busch, MP, Norris, PJ, Ness, PM, Kleinman, SH, Tamburro, R, Glynn, SA, and Malkin, K

Subjects
Paediatrics, Reproductive Medicine, Biomedical and Clinical Sciences, Hematology, Preterm, Low Birth Weight and Health of the Newborn, Lung, Pediatric, Infant Mortality, Perinatal Period - Conditions Originating in Perinatal Period, Aetiology, 2.4 Surveillance and distribution, Reproductive health and childbirth, Blood Transfusion, Cohort Studies, Datasets as Topic, Female, Gestational Age, Hemoglobins, Humans, Incidence, Infant, Newborn, International Normalized Ratio, Male, Platelet Count, Practice Patterns, Physicians', United States, National Heart, Lung, and Blood Institute Recipient Epidemiology and Donor Evaluation Study-IV-Pediatric, blood, infant, plasma, platelet, preterm, red blood cell, Human Movement and Sports Sciences, Paediatrics and Reproductive Medicine, Pediatrics
Abstract

ObjectiveTo estimate the incidence of blood product transfusion, including red blood cells, platelets, and plasma, and characterize pretransfusion hematologic values for infants during their initial hospitalization after birth.Study designRetrospective cohort study using data from 7 geographically diverse US academic and community hospitals that participated in the National Heart Lung and Blood Institute Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) from 2013 to 2016. Pretransfusion hematologic values were evaluated closest to each transfusion and no more than 24 hours beforehand.ResultsData from 60 243 infants were evaluated. The incidence of any transfusion differed by gestational age (P 45 for all gestational age groups examined. The median pretransfusion international normalized ratio for the entire cohort was 1.7 (10th-90th percentile 1.2-2.8).ConclusionsThere is wide variability in pretransfusion hemoglobin, platelet count, and international normalized ratio values for neonatal transfusions. Our findings suggest that a large proportion of neonatal transfusions in the US are administered at thresholds greater than supported by the best-available evidence and highlight an opportunity for improved patient blood management.

Published
2021

31. Initial Laparotomy Versus Peritoneal Drainage in Extremely Low Birthweight Infants With Surgical Necrotizing Enterocolitis or Isolated Intestinal Perforation: A Multicenter Randomized Clinical Trial.

Author

Blakely, Martin L, Tyson, Jon E, Lally, Kevin P, Hintz, Susan R, Eggleston, Barry, Stevenson, David K, Besner, Gail E, Das, Abhik, Ohls, Robin K, Truog, William E, Nelin, Leif D, Poindexter, Brenda B, Pedroza, Claudia, Walsh, Michele C, Stoll, Barbara J, Geller, Rachel, Kennedy, Kathleen A, Dimmitt, Reed A, Carlo, Waldemar A, Cotten, C Michael, Laptook, Abbot R, Van Meurs, Krisa P, Calkins, Kara L, Sokol, Gregory M, Sanchez, Pablo J, Wyckoff, Myra H, Patel, Ravi M, Frantz, Ivan D, Shankaran, Seetha, D'Angio, Carl T, Yoder, Bradley A, Bell, Edward F, Watterberg, Kristi L, Martin, Colin A, Harmon, Carroll M, Rice, Henry, Kurkchubasche, Arlet G, Sylvester, Karl, Dunn, James CY, Markel, Troy A, Diesen, Diana L, Bhatia, Amina M, Flake, Alan, Chwals, Walter J, Brown, Rebeccah, Bass, Kathryn D, St Peter, Shawn D, Shanti, Christina M, Pegoli, Walter, Skarda, David, Shilyansky, Joel, Lemon, David G, Mosquera, Ricardo A, Peralta-Carcelen, Myriam, Goldstein, Ricki F, Vohr, Betty R, Purdy, Isabell B, Hines, Abbey C, Maitre, Nathalie L, Heyne, Roy J, DeMauro, Sara B, McGowan, Elisabeth C, Yolton, Kimberly, Kilbride, Howard W, Natarajan, Girija, Yost, Kelley, Winter, Sarah, Colaizy, Tarah T, Laughon, Matthew M, Lakshminrusimha, Satyanarayana, and Higgins, Rosemary D

Subjects
Perinatal Period - Conditions Originating in Perinatal Period, Clinical Research, Infant Mortality, Rare Diseases, Digestive Diseases, Preterm, Low Birth Weight and Health of the Newborn, Pediatric, Clinical Trials and Supportive Activities, Good Health and Well Being, Drainage, Enterocolitis, Necrotizing, Feasibility Studies, Female, Humans, Infant, Extremely Low Birth Weight, Infant, Newborn, Infant, Premature, Infant, Premature, Diseases, Intestinal Perforation, Laparotomy, Male, Neurodevelopmental Disorders, Survival Rate, Treatment Outcome, isolated intestinal perforation, neonatal surgery, premature infant, randomized clinical trial, surgical necrotizing enterocolitis, Eunice Kennedy Shriver National Institute of Child Health, Human Development Neonatal Research Network, Medical and Health Sciences, Surgery
Abstract

ObjectiveThe aim of this study was to determine which initial surgical treatment results in the lowest rate of death or neurodevelopmental impairment (NDI) in premature infants with necrotizing enterocolitis (NEC) or isolated intestinal perforation (IP).Summary background dataThe impact of initial laparotomy versus peritoneal drainage for NEC or IP on the rate of death or NDI in extremely low birth weight infants is unknown.MethodsWe conducted the largest feasible randomized trial in 20 US centers, comparing initial laparotomy versus peritoneal drainage. The primary outcome was a composite of death or NDI at 18 to 22 months corrected age, analyzed using prespecified frequentist and Bayesian approaches.ResultsOf 992 eligible infants, 310 were randomized and 96% had primary outcome assessed. Death or NDI occurred in 69% of infants in the laparotomy group versus 70% with drainage [adjusted relative risk (aRR) 1.0; 95% confidence interval (CI): 0.87-1.14]. A preplanned analysis identified an interaction between preoperative diagnosis and treatment group (P = 0.03). With a preoperative diagnosis of NEC, death or NDI occurred in 69% after laparotomy versus 85% with drainage (aRR 0.81; 95% CI: 0.64-1.04). The Bayesian posterior probability that laparotomy was beneficial (risk difference

Published
2021

34. Umbilical Cord Milking vs Delayed Cord Clamping and Associations with In-Hospital Outcomes among Extremely Premature Infants

Author

Kumbhat, Neha, Eggleston, Barry, Davis, Alexis S, DeMauro, Sara B, Van Meurs, Krisa P, Foglia, Elizabeth E, Lakshminrusimha, Satyan, Walsh, Michele C, Watterberg, Kristi L, Wyckoff, Myra H, Das, Abhik, Handley, Sara C, Network, Generic Database Subcommittee of the National Institute of Child Health and Human Development Neonatal Research, Polin, Richard A, Laptook, R, Keszler, Martin, Hensman, Angelita M, Vieira, Elisa, St. Pierre, Lucille, Hibbs, Anna Maria, Truog, William E, Pallotto, Eugenia K, Parimi, Prabhu S, Gauldin, Cheri, Holmes, Anne, Knutson, Allison, Gaetano, Lisa, Poindexter, Brenda B, Schibler, Kurt, Merhar, Stephanie L, Grisby, Cathy, Kirker, Kristin, Cotten, C Michael, Goldberg, Ronald N, Finkle, Joanne, Fisher, Kimberley A, Laughon, Matthew M, Bose, Carl L, Bernhardt, Janice, Bose, Gennie, Clark, Cindy, Kicklighter, Stephen D, Rhodes-Ryan, Ginger, White, Donna, Carlton, David P, Patel, Ravi M, Loggins, Yvonne, Mackie, Colleen, Bottcher, Diane I, Bremer, Andrew A, Higgins, Rosemary D, Archer, Stephanie Wilson, Sokol, Gregory M, Herron, Dianne E, Tyson, Jon E, Khan, Amir M, Kennedy, Kathleen A, Pedrozza, Claudia, Eason, Elizabeth, Stephens, Emily K, McDavid, Georgia E, Martin, Karen, Hall, Donna, Wright, Sharon L, Sánchez, Pablo J, Nelin, Leif D, Jadcherla, Sudarshan R, Luzader, Patricia, Clark, Erna, Gutentag, Julie, Park, Courtney, Shadd, Julie C, Stein, Melanie, Baugher, Hallie, McCool, Jacqueline, Gantz, Marie G, Bann, Carla M, Wallace, Dennis, Zaterka-Baxter, Kristin M, Gabrio, Jenna, Leblond, David, Auman, Jeanette O'Donnell, Stevenson, David K, Chock, Valerie Y, Ball, M Bethany, Proud, Melinda S, Reichert, Elizabeth N, Williams, R Jordan, Carlo, Waldemar A, Ambalavanan, Namasivayam, Collins, Monica V, Cosby, Shirley S, McNair, Tara, Devaskar, Uday, Garg, Meena, Chanlaw, Teresa, Geller, Rachel, Bell, Edward F, Colaizy, Tarah T, and Ellsbury, Dan L

Subjects
Paediatrics, Biomedical and Clinical Sciences, Prevention, Preterm, Low Birth Weight and Health of the Newborn, Infant Mortality, Clinical Research, Neurosciences, Cardiovascular, Clinical Trials and Supportive Activities, Perinatal Period - Conditions Originating in Perinatal Period, Pediatric, Reproductive health and childbirth, Good Health and Well Being, Cerebral Intraventricular Hemorrhage, Constriction, Female, Gestational Age, Hospital Mortality, Humans, Infant, Extremely Premature, Infant, Newborn, Male, Retrospective Studies, Umbilical Cord, Generic Database Subcommittee of the National Institute of Child Health and Human Development Neonatal Research Network, Neonatal Research Network, intraventricular hemorrhage, placental transfusion, Human Movement and Sports Sciences, Paediatrics and Reproductive Medicine, Pediatrics
Abstract

ObjectiveTo compare in-hospital outcomes after umbilical cord milking vs delayed cord clamping among infants

Published
2021

40. Arnold Chiari Malformations- A Short Review

Author

Kumar, Voleti Vijaya, primary, Ugandar, R. E., additional, Ismail, Y., additional, Delhiraj, N., additional, Pandiyan, P. Shanmuga, additional, Ravi, M., additional, Chinababu, D., additional, Kiran, B. Hari, additional, Hussain, N. Jawad, additional, and Sharma, K. Sai Shanmukha, additional

Published
2023
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43. Early-Life Outcomes in Relation to Social Determinants of Health for Children Born Extremely Preterm

Author

Jobe, Alan H., Caplan, Michael S., Polin, Richard A., Laptook, Abbot R., Keszler, Martin, Hensman, Angelita M., Alksninis, Barbara, Bishop, Carmena, Burke, Robert T., Caskey, Melinda, Hoffman, Laurie, Johnson, Katharine, Keszler, Mary Lenore, Knoll, Andrea M., Lamberson, Vita, Leach, Teresa M., Little, Emilee, McGowan, Elisabeth C., Stephens, Bonnie E., Vieira, Elisa, St. Pierre, Lucille, Ventura, Suzy, Watson, Victoria E., Hibbs, Anna Maria, Walsh, Michele C., Wilson-Costello, Deanne E., Newman, Nancy S., Bhola, Monika, Payne, Allison H., Siner, Bonnie S., Yalcinkaya, Gulgun, Truog, William E., Pallotto, Eugenia K., Kilbride, Howard W., Gauldin, Cheri, Holmes, Anne, Johnson, Kathy, Scott, Allison, Parimi, Prabhu S., Gaetano, Lisa, Poindexter, Brenda B., Schibler, Kurt, Kallapur, Suhas G., Donovan, Edward F., Merhar, Stephanie, Grisby, Cathy, Yolton, Kimberly, Alexander, Barbara, Beiersdorfer, Traci, Bridges, Kate, Cahill, Tanya E., Dudley, Juanita, Fischer, Estelle E., Gratton, Teresa L., Hayes, Devan, Hessling, Jody, Jackson, Lenora D., Kirker, Kristin, Mincey, Holly L., Muthig, Greg, Stacey, Sara, Steichen, Jean J., Tepe, Stacey, Thompson, Julia, Wuertz, Sandra, Cotten, C. Michael, Goldberg, Ronald N., Goldstein, Ricki F., Malcolm, William F., Mago-Shah, Deesha, Ashley, Patricia L., Finkle, Joanne, Auten, Kathy J., Fisher, Kimberley A., Grimes, Sandra, Gustafson, Kathryn E., Lohmeyer, Melody B., Laughon, Matthew M., Bose, Carl L., Bernhardt, Janice, Bose, Gennie, Clark, Cindy, Talbert, Jennifer, Warner, Diane, Trembath, Andrea, O'Shea, T. Michael, Wereszczak, Janice, Kicklighter, Stephen D., Rhodes-Ryan, Ginger, White, Donna, Patel, Ravi M., Carlton, David P., Stoll, Barbara J., Hale, Ellen C., Loggins, Yvonne C., Adams-Chapman, Ira, Blackwelder, Ann, Bottcher, Diane I., Carter, Sheena L., Kendrick-Allwood, Salathiel, Laursen, Judith, LaRossa, Maureen Mulligan, Mackie, Colleen, Sanders, Amy, Seabrook, Irma, Smikle, Gloria, Wineski, Lynn C., Higgins, Rosemary D., Bremer, Andrew A., Archer, Stephanie Wilson, Sokol, Gregory M., Dusick, Anna M., Papile, Lu Ann, Gunn, Susan, Hamer, Faithe, Harmon, Heidi M., Herron, Dianne E., Hines, Abbey C., Lytle, Carolyn, Miller, Lucy C., Minnich, Heike M., Richard, Leslie, Smiley, Lucy, Wilson, Leslie Dawn, Tyson, Jon E., Kennedy, Kathleen A., Khan, Amir M., Duncan, Andrea, Mosquera, Ricardo, Stephens, Emily K., McDavid, Georgia E., Alaniz, Nora I., Allain, Elizabeth, Arldt-McAlister, Julie, Burson, Katrina, Dempsey, Allison G., Eason, Elizabeth, Evans, Patricia W., Garcia, Carmen, Green, Charles, Hall, Donna, Harris, Beverly Foley, Jiminez, Margarita, John, Janice, Jones, Patrick M., Lillie, M. Layne, Lis, Anna E., Martin, Karen, Martin, Sara C., Mason, Carrie M., McKee, Shannon, Morris, Brenda H., Rennie, Kimberly, Rodgers, Shawna, Siddiki, Saba Khan, Simmons, Maegan C., Sperry, Daniel, Pierce Tate, Patti L., Wright, Sharon L., Sánchez, Pablo J., Nelin, Leif D., Jadcherla, Sudarshan R., Slaughter, Jonathan L., Yeates, Keith O., Keim, Sarah, Maitre, Nathalie L., Timan, Christopher J., Luzader, Patricia, Clark, Erna, Fortney, Christine A., Gutentag, Julie, Park, Courtney, Shadd, Julie, Sullivan, Margaret, Stein, Melanie, Nelin, Mary Ann, Newton, Julia, Small, Kristi, Burkhardt, Stephanie, Purnell, Jessica, Pietruszewski, Lindsay, Levengood, Katelyn, Batterson, Nancy, Morehead, Pamela, Carey, Helen, Yoseff-Salameh, Lina, Sullivan, Rox Ann, Hague, Cole, Grothause, Jennifer, Fearns, Erin, Fowler, Aubrey, Notestine, Jennifer, Tonneman, Jill, Hay, Krystal, Chao, Michelle, Warnimont, Kyrstin, Marzec, Laura, Miller, Bethany, Beckford, Demi R., Baugher, Hallie, DeSantis, Brittany, Hanlon, Cory, McCool, Jacqueline, Das, Abhik, Gantz, Marie G., Bann, Carla M., Wallace, Dennis, Crawford, Margaret M., Gabrio, Jenna, Leblond, David, Newman, Jamie E., Petrie Huitema, Carolyn M., O'Donnell Auman, Jeanette, Poole, W. Kenneth, Zaterka-Baxter, Kristin M., Van Meurs, Krisa P., Chock, Valerie Y., Stevenson, David K., Adams, Marian M., Ball, M. Bethany, Bentley, Barbara, Bruno, Elizabeth, Davis, Alexis S., Elena DeAnda, Maria, DeBattista, Anne M., Huffman, Lynne C., Ismael, Magdy, Kohn, Jean G., Krueger, Casey, Lowe, Janice, Lucash, Ryan E., Palmquist, Andrew W., Patel, Jessica, Proud, Melinda S., Reichert, Elizabeth N., John, Nicholas H. St., Sivakumar, Dharshi, Taylor, Heather L., Wager, Natalie, Williams, R. Jordan, Weiss, Hali, Frantz, Ivan D., III, Fiascone, John M., MacKinnon, Brenda L., Furey, Anne, Nylen, Ellen, Church, Paige T., Sibley, Cecelia E., Brussa, Ana K., Carlo, Waldemar A., Ambalavanan, Namasivayam, Peralta-Carcelen, Myriam, Nelson, Kathleen G., Bailey, Kirstin J., Biasini, Fred J., Chopko, Stephanie A., Collins, Monica V., Cosby, Shirley S., Johnston, Kristen C., Moses, Mary Beth, Patterson, Cryshelle S., Phillips, Vivien A., Preskitt, Julie, Rector, Richard V., Whitley, Sally, Devaskar, Uday, Garg, Meena, Purdy, Isabell B., Chanlaw, Teresa, Geller, Rachel, Finer, Neil N., Vaucher, Yvonne E., Kaegi, David, Rasmussen, Maynard R., Arnell, Kathy, Demetrio, Clarence, Fuller, Martha G., Rich, Wade, Bell, Edward F., Colaizy, Tarah T., Widness, John A., Brumbaugh, Jane E., Acarregui, Michael J., Johnson, Karen J., Eastman, Diane L., Goeke, Claire A., Schmelzel, Mendi L., Walker, Jacky R., Baack, Michelle L., Hogden, Laurie A., Broadbent, Megan, Elenkiwich, Chelsey, Henning, Megan M., Van Muyden, Sarah, Ellsbury, Dan L., Campbell, Donia B., Tud, Tracy L., Duara, Shahnaz, Bauer, Charles R., Everett-Thomas, Ruth, Fajardo-Hiriart, Sylvia, Rigaud, Arielle, Calejo, Maria, Frade Eguaras, Silvia M., Berkowits, Michelle Harwood, Garcia, Andrea, Pierre, Helina, Stoerger, Alexandra, Watterberg, Kristi L., Fuller, Janell, Ohls, Robin K., Beauman, Sandra Sundquist, Lacy, Conra Backstrom, Duncan, Andrea F., Hanson, Mary, Hartenberger, Carol, Kuan, Elizabeth, Lowe, Jean R., Thomson, Rebecca A., DeMauro, Sara B., Eichenwald, Eric C., Schmidt, Barbara, Kirpalani, Haresh, Chaudhary, Aasma S., Abbasi, Soraya, Mancini, Toni, Catts, Christine, Cook, Noah, Cucinotta, Dara M., Bernbaum, Judy C., Gerdes, Marsha, Ghavam, Sarvin, Hurt, Hallam, Snyder, Jonathan, Vangala, Saritha, Ziolkowski, Kristina, D'Angio, Carl T., Phelps, Dale L., Guillet, Ronnie, Myers, Gary J., Andrews-Hartley, Michelle, Johnson, Julie Babish, Binion, Kyle, Bowman, Melissa, Boylin, Elizabeth, Burnell, Erica, Coleman, Kelly R., Fallone, Cait, Farooq, Osman, Hunn, Julianne, Hust, Diane, Jensen, Rosemary L., Jones, Rachel, Kachelmeyer, Jennifer, Kushner, Emily, Maffett, Deanna, McKee, Kimberly G., Merzbach, Joan, Orme, Constance, Prinzing, Diane, Reubens, Linda J., Rochez, Daisy, Rowan, Mary, Sabaratnam, Premini, Scorsone, Ann Marie, Wadkins, Holly I.M., Yost, Kelley, Zwetsch, Lauren, Lakshminrusimha, Satyan, Reynolds, Anne Marie, Sacilowski, Michael G., Guilford, Stephanie, Li, Emily, Williams, Ashley, Zorn, William A., Wyckoff, Myra H., Brion, Luc P., Salhab, Walid A., Rosenfeld, Charles R., Heyne, Roy J., Vasil, Diana M., Adams, Sally S., Chen, Lijun, De Leon, Maria M., Eubanks, Francis, Guzman, Alicia, Hensley, Gaynelle, Heyne, Elizabeth T., Lee, Lizette E., Leps, Melissa H., Madden, Linda A., McDougald, E. Rebecca, Miller, Nancy A., Morgan, Janet S., Pavageau, Lara, Sepulveda, Pollieanna, Tolentino-Plata, Kristine, Boatman, Cathy Twell, Vera, Azucena, Waterbury, Jillian, Yoder, Bradley A., Baserga, Mariana, Faix, Roger G., Winter, Sarah, Minton, Stephen D., Sheffield, Mark J., Rau, Carrie A., Baker, Shawna, Bird, Karie, Burnett, Jill, Christensen, Susan, Cole-Bledsoe, Laura, Davis, Brandy, Elmont, Jennifer O., Jensen, Jennifer J., Loertscher, Manndi C., Jordan, Jamie, Marchant, Trisha, Maxson, Earl, McGrath, Kandace M., Osborne, Karen A., Parry, D. Melody, Reich, Brixen A., Schaefer, Susan T., Spencer, Cynthia, Steffen, Michael, Tice, Katherine, Weaver-Lewis, Kimberlee, Woodbury, Kathryn D., Zanetti, Karen, Dillard, Robert G., Washburn, Lisa K., Jackson, Barbara G., Peters, Nancy, Chiu, Korinne, Allred, Deborah Evans, Goldstein, Donald J., Halfond, Raquel, Peterson, Carroll, Waldrep, Ellen L., Welch, Cherrie D., Morris, Melissa Whalen, Hounshell, Gail Wiley, Shankaran, Seetha, Sood, Beena G., Natarajan, Girija, Pappas, Athina, Abramczyk, Katherine, Agarwal, Prashant, Bajaj, Monika, Bara, Rebecca, Billian, Elizabeth, Chawla, Sanjay, Childs, Kirsten, De Jesus, Lilia C., Driscoll, Debra, February, Melissa, Goldston, Laura A., Johnson, Mary E., Muran, Geraldine, Panaitescu, Bogdan, Prentiss, Jeannette E., White, Diane, Woldt, Eunice, Barks, John, Wiggins, Stephanie A., Christensen, Mary K., Carlson, Martha D., Ehrenkranz, Richard A., Jacobs, Harris, Butler, Christine G., Cervone, Patricia, Greisman, Sheila, Konstantino, Monica, Poulsen, JoAnn, Taft, Janet, Williams, Joanne, Romano, Elaine, Vohr, Betty R., Travers, Colm P., and Hintz, Susan R.

Published
2023
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45. Safety and efficacy of probiotic administration to preterm infants: ten common questions

Author

Underwood, Mark A, Umberger, Erin, and Patel, Ravi M

Subjects
Paediatrics, Biomedical and Clinical Sciences, Perinatal Period - Conditions Originating in Perinatal Period, Infant Mortality, Preterm, Low Birth Weight and Health of the Newborn, Pediatric, Nutrition, Clinical Trials and Supportive Activities, Clinical Research, Biotechnology, Digestive Diseases, Complementary and Integrative Health, Clinical Trials as Topic, Dysbiosis, Enterocolitis, Necrotizing, Europe, Gastrointestinal Microbiome, Humans, Infant, Infant, Newborn, Infant, Newborn, Diseases, Infant, Premature, Milk, Human, Observational Studies as Topic, Patient Safety, Probiotics, Sepsis, Societies, Medical, Treatment Outcome, Paediatrics and Reproductive Medicine, Public Health and Health Services, Pediatrics
Abstract

In spite of a large number of randomized placebo-controlled clinical trials and observational cohort studies including >50,000 preterm infants from 29 countries that have demonstrated a decrease in the risk of necrotizing enterocolitis, death, and sepsis, routine prophylactic probiotic administration to preterm infants remains uncommon in much of the world. This manuscript reflects talks given at NEC Society Symposium in 2019 and is not intended to be a state-of-the-art review or systematic review, but a summary of the probiotic-specific aspects of the symposium with limited additions including a recent strain-specific network analysis and position statement from the European Society for Paediatric Gastroenterology Hepatology and Nutrition (ESPGHAN). We address ten common questions related to the intestinal microbiome and probiotic administration to the preterm infant.

Published
2020

47. Early brain and abdominal oxygenation in extremely low birth weight infants

Author

Chock, Valerie Y., Smith, Emily, Tan, Sylvia, Ball, M. Bethany, Das, Abhik, Hintz, Susan R., Kirpalani, Haresh, Bell, Edward F., Chalak, Lina F., Carlo, Waldemar A., Cotten, C. Michael, Widness, John A., Kennedy, Kathleen A., Ohls, Robin K., Seabrook, Ruth B., Patel, Ravi M., Laptook, Abbot R., Mancini, Toni, Sokol, Gregory M., Walsh, Michele C., Yoder, Bradley A., Poindexter, Brenda B., Chawla, Sanjay, D’Angio, Carl T., Higgins, Rosemary D., and Van Meurs, Krisa P.

Published
2022
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48. Web Usage Mining Cluster Simulation Using K-Means and Fuzzy Approach

Author

Gangadwala, Hardik A., Gulati, Ravi M., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tomar, Anuradha, editor, Malik, Hasmat, editor, Kumar, Pramod, editor, and Iqbal, Atif, editor

Published
2022
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49. Comparative Study on the NOMA Based Optimum Power Allocation Using DLS Algorithm with DNN

Author

Ravi, M., Bulo, Yaka, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Goar, Vishal, editor, Kuri, Manoj, editor, Kumar, Rajesh, editor, and Senjyu, Tomonobu, editor

Published
2022
Full Text
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