25 results on '"Bajaj, Monika"'
Search Results
2. PepAnalyzer: predicting peptide properties using its sequence
- Author
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Rustagi, Vanshika, Gupta, Shradheya R. R., Bajaj, Monika, Singh, Archana, and Singh, Indrakant Kumar
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- 2023
- Full Text
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3. Neonatal resuscitation program (NRP) guidelines and timing of major resuscitation events in delivery rooms at a level III NICU: Understanding deviations
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Boddu, Praveen Kumar, Velumula, Pradeep Kumar, Jani, Sanket, Fernandes, Nithi, Lua, Jorge, Natarajan, Girija, Bajaj, Monika, Thomas, Ronald, and Chawla, Sanjay
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- 2024
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4. Post-resuscitation care in the NICU
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Haggerty, Mary, Bajaj, Monika, Natarajan, Girija, and Ades, Anne
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- 2024
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5. Early-Life Outcomes in Relation to Social Determinants of Health for Children Born Extremely Preterm
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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
- Full Text
- View/download PDF
6. Effect of an exclusive human milk diet on feeding tolerance in preterm infants
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El-Fadeel, Hiba, Velumula, Pradeep, Lulic-Botica, Mirjana, Natarajan, Girija, Thomas, Ronald, Botica, Gabriella, and Bajaj, Monika
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- 2022
- Full Text
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7. Breast milk vs 24% sucrose for procedural pain relief in preterm neonates: a non-inferiority randomized controlled trial
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Velumula, Pradeep Kumar, Elbakoush, Faesal, Tabb, II, Carl, Farooqi, Ahmad, Lulic-Botica, Mirjana, Jani, Sanket, Natarajan, Girija, and Bajaj, Monika
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- 2022
- Full Text
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8. Association between SMOF lipid and parenteral nutrition–associated cholestasis compared with Intralipid in extremely low birth weight infants: A retrospective cohort study.
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Velumula, Pradeep Kumar, Boddu, Praveen Kumar, Lulic‐Botica, Mirjana, Khanal, Luna, Amoah, Joe, and Bajaj, Monika
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LOW birth weight ,VERY low birth weight ,PREMATURE infants ,BIRTH weight ,WEIGHT in infancy - Abstract
Background: There is limited evidence on benefits of SMOF lipids (mixed fatty acid emulsion of 30% soybean oil, 30% medium chain triglycerides, 25% olive oil, and 15% fish oil) in reducing parenteral nutrition–associated cholestasis in extremely low birth weight infants, compared with soybean oil–based Intralipid. Aim: To compare incidence of parenteral nutrition–associated cholestasis in preterm infants who received Intralipid vs SMOF lipid. Methods: We conducted a retrospective study on infants with birth weight <1000 g, admitted between January 2013 to December 2022, who received parenteral nutrition for >14 days and divided them into two groups based on lipid emulsion received (Intralipid, n = 187, SMOF, n = 127). Primary outcome was incidence of parenteral nutrition–associated cholestasis, defined as direct bilirubin ≥2 mg/dl. Results: Baseline characteristics did not differ between the two groups. No significant difference was noted in parenteral nutrition–associated cholestasis between the two groups on logistic regression, (adjusted odds ratio: 0.71, 95% confidence interval 0.35–1.42, P value 0.33) after adjusting for gestational age, parenteral nutrition days, lipid days, and late‐onset sepsis. Conclusion: There was no difference in the rates of parenteral nutrition–associated cholestasis between preterm infants administered SMOF lipids and those given Intralipid. [ABSTRACT FROM AUTHOR]
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- 2024
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9. Postdischarge Adverse Events Among Neonates Admitted to the Neonatal Intensive Care Unit
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Tsilimingras, Dennis, Natarajan, Girija, Bajaj, Monika, Agarwal, Prashant, Lua, Jorge, Deriemacker, Amanda, Zuair, Areeg, Misra, Dawn, Janisse, James, Zhang, Liying, and Schnipper, Jeffrey
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- 2022
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10. Population-Level Study on Fetal Deaths and Preterm Births during SARS-CoV-2 Pandemic in the State of Michigan.
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Bajaj, Monika, Romero, Roberto, Myers, Lindsey, Duncan, Jeffrey, Yeo, Lami, Jani, Sanket, and Natarajan, Girija
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RISK assessment , *RESEARCH funding , *PREMATURE infants , *PERINATAL death , *DESCRIPTIVE statistics , *ODDS ratio , *GESTATIONAL age , *COMPARATIVE studies , *CONFIDENCE intervals , *COVID-19 pandemic - Abstract
Objective The aim of the study is to explore the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on preterm birth at different gestational ages and fetal death in the state of Michigan. Study Design Data on live births and fetal deaths in the state of Michigan from March to November in the years 2017 through 2020 were obtained from Michigan Department of Health and Human Services (MDHHS). Preterm birth rate, fetal death rate (per 1,000 live births) overall and stratified by race and maternal comorbidities during the period of pandemic (March–November 2020) were compared with the same period (March–November) in the prepandemic years (2017–2019). Results Of 328,879 live births and 1,470 fetal deaths during the study period, 77,983 live births and 242 fetal deaths were reported in 2020. Compared with prepandemic years, fetal death rate per 1,000 live births was significantly lower in 2020 (3.1 vs. 4.7 [2017], 5.2 [2018], 4.4 [2019], p -value <0.001). The adjusted risk for fetal death in 2020 was decreased (odds ratio [OR] = 0.64 [95% confidence interval (CI): 0.56–0.74], p <0.0001), compared with prepandemic years. Fetal death was significantly associated with African-American race, pregnancy hypertension and prepregnancy diabetes. No significant difference in the proportion of preterm births (<37 weeks' gestation) was noted between pandemic and prepandemic years (9.9 vs. 10.0%, p = 0.50). There was no significant difference in the risk of preterm birth across gestational age strata (<28, 28–31 6/7 , 32–36 6/7 , 37–41 6/7 , and >42 weeks) between pandemic and prepandemic years on multinomial analysis. Significant associations with preterm birth across all years included African American race, lower level of maternal education, pregnancy-induced hypertension, chronic hypertension, prepregnancy diabetes, congenital anomalies, previous preterm birth, and prolonged rupture of membranes >12 hours. Conclusion Fetal death rate was significantly lower whereas preterm births remained unchanged during pandemic in comparison with prepandemic years in the state of Michigan. Key Points A decrease in fetal death rate was noted during SARS CoV-2 pandemic in the State of Michigan. Overall state-wide rates of preterm birth did not change in 2020, compared to previous years. Significant risk factors associated with preterm birth and fetal deaths did not differ between prepandemic and pandemic years. [ABSTRACT FROM AUTHOR]
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- 2024
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11. An Infant with an Episodic Vesicular Rash
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Boddu, Praveen Kumar, primary, Velumula, Pradeep, additional, and Bajaj, Monika, additional
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- 2023
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12. Early-Life Outcomes in Relation to Social Determinants of Health for Children Born Extremely Preterm
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Brumbaugh, Jane E., primary, Vohr, Betty R., additional, Bell, Edward F., additional, Bann, Carla M., additional, Travers, Colm P., additional, McGowan, Elisabeth C., additional, Harmon, Heidi M., additional, Carlo, Waldemar A., additional, Duncan, Andrea F., additional, Hintz, Susan R., additional, Jobe, Alan H., additional, Caplan, Michael S., additional, Polin, Richard A., additional, Laptook, Abbot R., additional, Keszler, Martin, additional, Hensman, Angelita M., additional, Alksninis, Barbara, additional, Bishop, Carmena, additional, Burke, Robert T., additional, Caskey, Melinda, additional, Hoffman, Laurie, additional, Johnson, Katharine, additional, Keszler, Mary Lenore, additional, Knoll, Andrea M., additional, Lamberson, Vita, additional, Leach, Teresa M., additional, Little, Emilee, additional, Stephens, Bonnie E., additional, Vieira, Elisa, additional, St. Pierre, Lucille, additional, Ventura, Suzy, additional, Watson, Victoria E., additional, Hibbs, Anna Maria, additional, Walsh, Michele C., additional, Wilson-Costello, Deanne E., additional, Newman, Nancy S., additional, Bhola, Monika, additional, Payne, Allison H., additional, Siner, Bonnie S., additional, Yalcinkaya, Gulgun, additional, Truog, William E., additional, Pallotto, Eugenia K., additional, Kilbride, Howard W., additional, Gauldin, Cheri, additional, Holmes, Anne, additional, Johnson, Kathy, additional, Scott, Allison, additional, Parimi, Prabhu S., additional, Gaetano, Lisa, additional, Poindexter, Brenda B., additional, Schibler, Kurt, additional, Kallapur, Suhas G., additional, Donovan, Edward F., additional, Merhar, Stephanie, additional, Grisby, Cathy, additional, Yolton, Kimberly, additional, Alexander, Barbara, additional, Beiersdorfer, Traci, additional, Bridges, Kate, additional, Cahill, Tanya E., additional, Dudley, Juanita, additional, Fischer, Estelle E., additional, Gratton, Teresa L., additional, Hayes, Devan, additional, Hessling, Jody, additional, Jackson, Lenora D., additional, Kirker, Kristin, additional, Mincey, Holly L., additional, Muthig, Greg, additional, Stacey, Sara, additional, Steichen, Jean J., additional, Tepe, Stacey, additional, Thompson, Julia, additional, Wuertz, Sandra, additional, Cotten, C. Michael, additional, Goldberg, Ronald N., additional, Goldstein, Ricki F., additional, Malcolm, William F., additional, Mago-Shah, Deesha, additional, Ashley, Patricia L., additional, Finkle, Joanne, additional, Auten, Kathy J., additional, Fisher, Kimberley A., additional, Grimes, Sandra, additional, Gustafson, Kathryn E., additional, Lohmeyer, Melody B., additional, Laughon, Matthew M., additional, Bose, Carl L., additional, Bernhardt, Janice, additional, Bose, Gennie, additional, Clark, Cindy, additional, Talbert, Jennifer, additional, Warner, Diane, additional, Trembath, Andrea, additional, O'Shea, T. Michael, additional, Wereszczak, Janice, additional, Kicklighter, Stephen D., additional, Rhodes-Ryan, Ginger, additional, White, Donna, additional, Patel, Ravi M., additional, Carlton, David P., additional, Stoll, Barbara J., additional, Hale, Ellen C., additional, Loggins, Yvonne C., additional, Adams-Chapman, Ira, additional, Blackwelder, Ann, additional, Bottcher, Diane I., additional, Carter, Sheena L., additional, Kendrick-Allwood, Salathiel, additional, Laursen, Judith, additional, LaRossa, Maureen Mulligan, additional, Mackie, Colleen, additional, Sanders, Amy, additional, Seabrook, Irma, additional, Smikle, Gloria, additional, Wineski, Lynn C., additional, Higgins, Rosemary D., additional, Bremer, Andrew A., additional, Archer, Stephanie Wilson, additional, Sokol, Gregory M., additional, Dusick, Anna M., additional, Papile, Lu Ann, additional, Gunn, Susan, additional, Hamer, Faithe, additional, Herron, Dianne E., additional, Hines, Abbey C., additional, Lytle, Carolyn, additional, Miller, Lucy C., additional, Minnich, Heike M., additional, Richard, Leslie, additional, Smiley, Lucy, additional, Wilson, Leslie Dawn, additional, Tyson, Jon E., additional, Kennedy, Kathleen A., additional, Khan, Amir M., additional, Duncan, Andrea, additional, Mosquera, Ricardo, additional, Stephens, Emily K., additional, McDavid, Georgia E., additional, Alaniz, Nora I., additional, Allain, Elizabeth, additional, Arldt-McAlister, Julie, additional, Burson, Katrina, additional, Dempsey, Allison G., additional, Eason, Elizabeth, additional, Evans, Patricia W., additional, Garcia, Carmen, additional, Green, Charles, additional, Hall, Donna, additional, Harris, Beverly Foley, additional, Jiminez, Margarita, additional, John, Janice, additional, Jones, Patrick M., additional, Lillie, M. Layne, additional, Lis, Anna E., additional, Martin, Karen, additional, Martin, Sara C., additional, Mason, Carrie M., additional, McKee, Shannon, additional, Morris, Brenda H., additional, Rennie, Kimberly, additional, Rodgers, Shawna, additional, Siddiki, Saba Khan, additional, Simmons, Maegan C., additional, Sperry, Daniel, additional, Pierce Tate, Patti L., additional, Wright, Sharon L., additional, Sánchez, Pablo J., additional, Nelin, Leif D., additional, Jadcherla, Sudarshan R., additional, Slaughter, Jonathan L., additional, Yeates, Keith O., additional, Keim, Sarah, additional, Maitre, Nathalie L., additional, Timan, Christopher J., additional, Luzader, Patricia, additional, Clark, Erna, additional, Fortney, Christine A., additional, Gutentag, Julie, additional, Park, Courtney, additional, Shadd, Julie, additional, Sullivan, Margaret, additional, Stein, Melanie, additional, Nelin, Mary Ann, additional, Newton, Julia, additional, Small, Kristi, additional, Burkhardt, Stephanie, additional, Purnell, Jessica, additional, Pietruszewski, Lindsay, additional, Levengood, Katelyn, additional, Batterson, Nancy, additional, Morehead, Pamela, additional, Carey, Helen, additional, Yoseff-Salameh, Lina, additional, Sullivan, Rox Ann, additional, Hague, Cole, additional, Grothause, Jennifer, additional, Fearns, Erin, additional, Fowler, Aubrey, additional, Notestine, Jennifer, additional, Tonneman, Jill, additional, Hay, Krystal, additional, Chao, Michelle, additional, Warnimont, Kyrstin, additional, Marzec, Laura, additional, Miller, Bethany, additional, Beckford, Demi R., additional, Baugher, Hallie, additional, DeSantis, Brittany, additional, Hanlon, Cory, additional, McCool, Jacqueline, additional, Das, Abhik, additional, Gantz, Marie G., additional, Wallace, Dennis, additional, Crawford, Margaret M., additional, Gabrio, Jenna, additional, Leblond, David, additional, Newman, Jamie E., additional, Petrie Huitema, Carolyn M., additional, O'Donnell Auman, Jeanette, additional, Poole, W. Kenneth, additional, Zaterka-Baxter, Kristin M., additional, Van Meurs, Krisa P., additional, Chock, Valerie Y., additional, Stevenson, David K., additional, Adams, Marian M., additional, Ball, M. Bethany, additional, Bentley, Barbara, additional, Bruno, Elizabeth, additional, Davis, Alexis S., additional, Elena DeAnda, Maria, additional, DeBattista, Anne M., additional, Huffman, Lynne C., additional, Ismael, Magdy, additional, Kohn, Jean G., additional, Krueger, Casey, additional, Lowe, Janice, additional, Lucash, Ryan E., additional, Palmquist, Andrew W., additional, Patel, Jessica, additional, Proud, Melinda S., additional, Reichert, Elizabeth N., additional, John, Nicholas H. St., additional, Sivakumar, Dharshi, additional, Taylor, Heather L., additional, Wager, Natalie, additional, Williams, R. Jordan, additional, Weiss, Hali, additional, Frantz, Ivan D., additional, Fiascone, John M., additional, MacKinnon, Brenda L., additional, Furey, Anne, additional, Nylen, Ellen, additional, Church, Paige T., additional, Sibley, Cecelia E., additional, Brussa, Ana K., additional, Ambalavanan, Namasivayam, additional, Peralta-Carcelen, Myriam, additional, Nelson, Kathleen G., additional, Bailey, Kirstin J., additional, Biasini, Fred J., additional, Chopko, Stephanie A., additional, Collins, Monica V., additional, Cosby, Shirley S., additional, Johnston, Kristen C., additional, Moses, Mary Beth, additional, Patterson, Cryshelle S., additional, Phillips, Vivien A., additional, Preskitt, Julie, additional, Rector, Richard V., additional, Whitley, Sally, additional, Devaskar, Uday, additional, Garg, Meena, additional, Purdy, Isabell B., additional, Chanlaw, Teresa, additional, Geller, Rachel, additional, Finer, Neil N., additional, Vaucher, Yvonne E., additional, Kaegi, David, additional, Rasmussen, Maynard R., additional, Arnell, Kathy, additional, Demetrio, Clarence, additional, Fuller, Martha G., additional, Rich, Wade, additional, Colaizy, Tarah T., additional, Widness, John A., additional, Brumbaugh, Jane E., additional, Acarregui, Michael J., additional, Johnson, Karen J., additional, Eastman, Diane L., additional, Goeke, Claire A., additional, Schmelzel, Mendi L., additional, Walker, Jacky R., additional, Baack, Michelle L., additional, Hogden, Laurie A., additional, Broadbent, Megan, additional, Elenkiwich, Chelsey, additional, Henning, Megan M., additional, Van Muyden, Sarah, additional, Ellsbury, Dan L., additional, Campbell, Donia B., additional, Tud, Tracy L., additional, Duara, Shahnaz, additional, Bauer, Charles R., additional, Everett-Thomas, Ruth, additional, Fajardo-Hiriart, Sylvia, additional, Rigaud, Arielle, additional, Calejo, Maria, additional, Frade Eguaras, Silvia M., additional, Berkowits, Michelle Harwood, additional, Garcia, Andrea, additional, Pierre, Helina, additional, Stoerger, Alexandra, additional, Watterberg, Kristi L., additional, Fuller, Janell, additional, Ohls, Robin K., additional, Beauman, Sandra Sundquist, additional, Lacy, Conra Backstrom, additional, Hanson, Mary, additional, Hartenberger, Carol, additional, Kuan, Elizabeth, additional, Lowe, Jean R., additional, Thomson, Rebecca A., additional, DeMauro, Sara B., additional, Eichenwald, Eric C., additional, Schmidt, Barbara, additional, Kirpalani, Haresh, additional, Chaudhary, Aasma S., additional, Abbasi, Soraya, additional, Mancini, Toni, additional, Catts, Christine, additional, Cook, Noah, additional, Cucinotta, Dara M., additional, Bernbaum, Judy C., additional, Gerdes, Marsha, additional, Ghavam, Sarvin, additional, Hurt, Hallam, additional, Snyder, Jonathan, additional, Vangala, Saritha, additional, Ziolkowski, Kristina, additional, D'Angio, Carl T., additional, Phelps, Dale L., additional, Guillet, Ronnie, additional, Myers, Gary J., additional, Andrews-Hartley, Michelle, additional, Johnson, Julie Babish, additional, Binion, Kyle, additional, Bowman, Melissa, additional, Boylin, Elizabeth, additional, Burnell, Erica, additional, Coleman, Kelly R., additional, Fallone, Cait, additional, Farooq, Osman, additional, Hunn, Julianne, additional, Hust, Diane, additional, Jensen, Rosemary L., additional, Jones, Rachel, additional, Kachelmeyer, Jennifer, additional, Kushner, Emily, additional, Maffett, Deanna, additional, McKee, Kimberly G., additional, Merzbach, Joan, additional, Orme, Constance, additional, Prinzing, Diane, additional, Reubens, Linda J., additional, Rochez, Daisy, additional, Rowan, Mary, additional, Sabaratnam, Premini, additional, Scorsone, Ann Marie, additional, Wadkins, Holly I.M., additional, Yost, Kelley, additional, Zwetsch, Lauren, additional, Lakshminrusimha, Satyan, additional, Reynolds, Anne Marie, additional, Sacilowski, Michael G., additional, Guilford, Stephanie, additional, Li, Emily, additional, Williams, Ashley, additional, Zorn, William A., additional, Wyckoff, Myra H., additional, Brion, Luc P., additional, Salhab, Walid A., additional, Rosenfeld, Charles R., additional, Heyne, Roy J., additional, Vasil, Diana M., additional, Adams, Sally S., additional, Chen, Lijun, additional, De Leon, Maria M., additional, Eubanks, Francis, additional, Guzman, Alicia, additional, Hensley, Gaynelle, additional, Heyne, Elizabeth T., additional, Lee, Lizette E., additional, Leps, Melissa H., additional, Madden, Linda A., additional, McDougald, E. Rebecca, additional, Miller, Nancy A., additional, Morgan, Janet S., additional, Pavageau, Lara, additional, Sepulveda, Pollieanna, additional, Tolentino-Plata, Kristine, additional, Boatman, Cathy Twell, additional, Vera, Azucena, additional, Waterbury, Jillian, additional, Yoder, Bradley A., additional, Baserga, Mariana, additional, Faix, Roger G., additional, Winter, Sarah, additional, Minton, Stephen D., additional, Sheffield, Mark J., additional, Rau, Carrie A., additional, Baker, Shawna, additional, Bird, Karie, additional, Burnett, Jill, additional, Christensen, Susan, additional, Cole-Bledsoe, Laura, additional, Davis, Brandy, additional, Elmont, Jennifer O., additional, Jensen, Jennifer J., additional, Loertscher, Manndi C., additional, Jordan, Jamie, additional, Marchant, Trisha, additional, Maxson, Earl, additional, McGrath, Kandace M., additional, Osborne, Karen A., additional, Parry, D. Melody, additional, Reich, Brixen A., additional, Schaefer, Susan T., additional, Spencer, Cynthia, additional, Steffen, Michael, additional, Tice, Katherine, additional, Weaver-Lewis, Kimberlee, additional, Woodbury, Kathryn D., additional, Zanetti, Karen, additional, Dillard, Robert G., additional, Washburn, Lisa K., additional, Jackson, Barbara G., additional, Peters, Nancy, additional, Chiu, Korinne, additional, Allred, Deborah Evans, additional, Goldstein, Donald J., additional, Halfond, Raquel, additional, Peterson, Carroll, additional, Waldrep, Ellen L., additional, Welch, Cherrie D., additional, Morris, Melissa Whalen, additional, Hounshell, Gail Wiley, additional, Shankaran, Seetha, additional, Sood, Beena G., additional, Natarajan, Girija, additional, Pappas, Athina, additional, Abramczyk, Katherine, additional, Agarwal, Prashant, additional, Bajaj, Monika, additional, Bara, Rebecca, additional, Billian, Elizabeth, additional, Chawla, Sanjay, additional, Childs, Kirsten, additional, De Jesus, Lilia C., additional, Driscoll, Debra, additional, February, Melissa, additional, Goldston, Laura A., additional, Johnson, Mary E., additional, Muran, Geraldine, additional, Panaitescu, Bogdan, additional, Prentiss, Jeannette E., additional, White, Diane, additional, Woldt, Eunice, additional, Barks, John, additional, Wiggins, Stephanie A., additional, Christensen, Mary K., additional, Carlson, Martha D., additional, Ehrenkranz, Richard A., additional, Jacobs, Harris, additional, Butler, Christine G., additional, Cervone, Patricia, additional, Greisman, Sheila, additional, Konstantino, Monica, additional, Poulsen, JoAnn, additional, Taft, Janet, additional, Williams, Joanne, additional, and Romano, Elaine, additional
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- 2023
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13. A Neonate Presenting With Hypotonia and Irregular Breathing.
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Boddu, Praveen Kumar, Velumula, Pradeep Kumar, Altinok, Deniz, and Bajaj, Monika
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RESPIRATORY diseases ,ECHOCARDIOGRAPHY ,NEONATAL intensive care ,ULTRASONIC imaging ,ELECTROENCEPHALOGRAPHY ,MAGNETIC resonance imaging ,MUSCLE hypotonia ,TREATMENT effectiveness ,OXYGEN therapy ,CAFFEINE ,RESPIRATORY distress syndrome ,PULSE oximeters ,JOUBERT syndrome ,CHILDREN - Abstract
The article focuses on the case presentation of a term female newborn admitted to the neonatal intensive care unit (NICU) with respiratory distress after birth, with a diagnosis of Joubert Syndrome (JS) confirmed by MRI findings and molecular genetic testing, along with a description of the hospital course and additional medical evaluations conducted.
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- 2023
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14. Effectual Seed Pick Framework Focusing on Maximizing Influence in Social Networks
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Choudhary, Sonia, primary, Sharma, Kapil, additional, and Bajaj, Monika, additional
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- 2023
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15. Comparative Growth Outcomes in Preterm Infants Fed Either Mother's Own Milk or Donor Human Milk
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Velumula, Pradeep Kumar, primary, Elbakoush, Faesal, additional, Elfadeel, Hiba, additional, Lulic-Botica, Mirjana, additional, Natarajan, Girija, additional, and Bajaj, Monika, additional
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- 2023
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16. Obstructed Hemivagina and Ipsilateral Renal Agenesis Syndrome in a Neonate
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Luna Khanal, Kanika Deora, Suman R Gaihre, and Bajaj Monika
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General Engineering - Published
- 2023
17. Diagnosis of Congenital Cytomegalovirus (cCMV) in an Asymptomatic Neonate on Placental Pathology
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Praveen Kumar Boddu, Pradeep Kumar Velumula, Suzanne M Jacques, Moumita S Choudhury, and Bajaj Monika
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General Engineering - Published
- 2022
18. A Neonate With Diabetes Mellitus, Congenital Hypothyroidism, and Congenital Glaucoma
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Praveen Kumar Boddu, Pradeep Kumar Velumula, Saima Sharif, and Bajaj Monika
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General Engineering - Published
- 2022
19. Population-Level Study on Fetal Deaths and Preterm Births during SARS-CoV-2 Pandemic in the State of Michigan
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Bajaj, Monika, additional, Romero, Roberto, additional, Myers, Lindsey, additional, Duncan, Jeffrey, additional, Yeo, Lami, additional, Jani, Sanket, additional, and Natarajan, Girija, additional
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- 2022
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20. Haemodynamic impact of chest compressions in the delivery room
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Natarajan, Girija, primary, Bajaj, Monika, additional, and Aggarwal, Sanjeev, additional
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- 2022
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21. A Review on Opinion Leader Detection and It’s Applications
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Choudhary, Sonia, primary, Sharma, Kapil, additional, and Bajaj, Monika, additional
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- 2022
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22. DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning.
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Sonia, Sharma, Kapil, and Bajaj, Monika
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DEEP learning ,VIRAL marketing ,ARTIFICIAL intelligence ,ONLINE social networks ,OUTLIER detection ,SOCIAL networks - Abstract
Big Data and artificial intelligence are used to transform businesses. Social networking sites have given a new dimension to online data. Social media platforms help gather massive amounts of data to reach a wide variety of customers using influence maximization technique for innovative ideas, products and services. This paper aims to develop a deep learning method that can identify the influential users in a network. This method combines the various aspects of a user into a single graph. In a social network, the most influential user is the most trusted user. These significant users are used for viral marketing as the seeds to influence other users in the network. The proposed method combines both topical and topological aspects of a user in the network using collaborative filtering. The proposed method is DeepWalk based Influence Maximization (DWIM). The proposed method was able to find k influential nodes with computable time using the algorithm. The experiments are performed to assess the proposed algorithm, and centrality measures are used to compare the results. The results reveal its performance that the proposed method can find k influential nodes in computable time. DWIM can identify influential users, which helps viral marketing, outlier detection, and recommendations for different products and services. After applying the proposed methodology, the set of seed nodes gives maximum influence measured with respect to different centrality measures in an increased computable time. [ABSTRACT FROM AUTHOR]
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- 2023
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23. Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.
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Rustagi, Vanshika, Bajaj, Monika, Tanvi, Singh, Priya, Aggarwal, Rajiv, AlAjmi, Mohamed F., Hussain, Afzal, Hassan, Md. Imtaiyaz, Singh, Archana, and Singh, Indrakant K.
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COVID-19 ,MACHINE learning ,COVID-19 vaccines ,COVID-19 pandemic ,VACCINATION ,REGRESSION analysis - Abstract
Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutated virus, rendering it deadlier than before. It spreads quickly from person to person by contact and nasal or pharyngeal droplets. The COVID-19 database 'Our World in Data' was analyzed from February 24, 2020, to September 26, 2021, and predictions on the COVID positives and their mortality rate were made. Factors such as Vaccine data for the First and Second Dose vaccinated individuals and COVID positives that influence the fluctuations in the COVID-19 death ratio were investigated and linear regression analysis was performed. Based on vaccination doses (partial or complete vaccinated), models are created to estimate the number of patients who die from COVID infection. The estimation of variance in the datasets was investigated using Karl Pearson's coefficient. For COVID-19 cases and vaccination doses, a quartic polynomial regression model was also created. This predictor model helps to predict the number of deaths due to COVID-19 and determine the susceptibility to COVID-19 infection based on the number of vaccine doses received. SVM was used to analyze the efficacy of models generated. [ABSTRACT FROM AUTHOR]
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- 2022
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24. Association of antenatal steroid administration with neonatal morbidities among late preterm multiple gestation infants.
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Velumula PK, Boddu PK, Khanal L, Jani S, Fernandes N, Thomas R, Bajaj M, and Chawla S
- Abstract
Background: There is limited evidence on the efficacy of antenatal steroids (ANS) among women with multiple gestations at risk of late preterm delivery., Study Design: This retrospective study included multiple gestation, late preterm infants (34
0/7 -366/7 weeks' gestational age), born between January 2013 and December 2022. The primary outcome was composite respiratory outcome, defined as the need for respiratory support by 72 hours of age. Logistic and linear regressions were performed to compare the primary and secondary outcomes with and without exposure to any ANS, adjusted for gestational age, sex of infant, histologic chorioamnionitis, and intrauterine growth restriction., Results: The composite respiratory outcome was significantly lower in any ANS group compared to no ANS group (28.6% vs. 33.7%) [adjusted odds ratio 0.50, 95% CI, 0.33-0.75, p < 0.001]., Conclusion: In late preterm multiple gestation infants, any ANS exposure was associated with lower risk of composite respiratory outcome., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)- Published
- 2024
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25. Neurodevelopmental Outcomes of Extremely Preterm Infants Fed Donor Milk or Preterm Infant Formula: A Randomized Clinical Trial.
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Colaizy TT, Poindexter BB, McDonald SA, Bell EF, Carlo WA, Carlson SJ, DeMauro SB, Kennedy KA, Nelin LD, Sánchez PJ, Vohr BR, Johnson KJ, Herron DE, Das A, Crawford MM, Walsh MC, Higgins RD, Stoll BJ, Ambalavanan N, Wyckoff MH, D'Angio CT, Bugg GW, Ohls RK, Reynolds AM, Sokol GM, Laptook AR, Olsen SL, White JR, Jadcherla SR, Bajaj M, Parimi PS, Schmidt B, Laughon MM, Barks J, Fisher KA, Hibbs AM, Peralta-Carcelen M, Cook N, Heyne RJ, Cavanaugh B, Adams-Chapman I, Fuller J, Hartley-McAndrew ME, Harmon HM, Duncan AF, Hines AC, Kilbride HW, Richards LA, Maitre NL, Natarajan G, Trembath AN, Carlson MD, Malcolm WF, and Wilson-Costello DE
- Subjects
- Child, Infant, Infant, Newborn, Female, Humans, Male, Infant, Extremely Premature, Infant Formula, Birth Weight, Double-Blind Method, Intensive Care Units, Neonatal, Milk, Human, Enterocolitis, Necrotizing epidemiology
- Abstract
Importance: Maternal milk feeding of extremely preterm infants during the birth hospitalization has been associated with better neurodevelopmental outcomes compared with preterm formula. For infants receiving no or minimal maternal milk, it is unknown whether donor human milk conveys similar neurodevelopmental advantages vs preterm formula., Objective: To determine if nutrient-fortified, pasteurized donor human milk improves neurodevelopmental outcomes at 22 to 26 months' corrected age compared with preterm infant formula among extremely preterm infants who received minimal maternal milk., Design, Setting, and Participants: Double-blind, randomized clinical trial conducted at 15 US academic medical centers within the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network. Infants younger than 29 weeks 0 days' gestation or with a birth weight of less than 1000 g were enrolled between September 2012 and March 2019., Intervention: Preterm formula or donor human milk feeding from randomization to 120 days of age, death, or hospital discharge., Main Outcomes and Measures: The primary outcome was the Bayley Scales of Infant and Toddler Development (BSID) cognitive score measured at 22 to 26 months' corrected age; a score of 54 (score range, 54-155; a score of ≥85 indicates no neurodevelopmental delay) was assigned to infants who died between randomization and 22 to 26 months' corrected age. The 24 secondary outcomes included BSID language and motor scores, in-hospital growth, necrotizing enterocolitis, and death., Results: Of 1965 eligible infants, 483 were randomized (239 in the donor milk group and 244 in the preterm formula group); the median gestational age was 26 weeks (IQR, 25-27 weeks), the median birth weight was 840 g (IQR, 676-986 g), and 52% were female. The birthing parent's race was self-reported as Black for 52% (247/478), White for 43% (206/478), and other for 5% (25/478). There were 54 infants who died prior to follow-up; 88% (376/429) of survivors were assessed at 22 to 26 months' corrected age. The adjusted mean BSID cognitive score was 80.7 (SD, 17.4) for the donor milk group vs 81.1 (SD, 16.7) for the preterm formula group (adjusted mean difference, -0.77 [95% CI, -3.93 to 2.39], which was not significant); the adjusted mean BSID language and motor scores also did not differ. Mortality (death prior to follow-up) was 13% (29/231) in the donor milk group vs 11% (25/233) in the preterm formula group (adjusted risk difference, -1% [95% CI, -4% to 2%]). Necrotizing enterocolitis occurred in 4.2% of infants (10/239) in the donor milk group vs 9.0% of infants (22/244) in the preterm formula group (adjusted risk difference, -5% [95% CI, -9% to -2%]). Weight gain was slower in the donor milk group (22.3 g/kg/d [95% CI, 21.3 to 23.3 g/kg/d]) compared with the preterm formula group (24.6 g/kg/d [95% CI, 23.6 to 25.6 g/kg/d])., Conclusions and Relevance: Among extremely preterm neonates fed minimal maternal milk, neurodevelopmental outcomes at 22 to 26 months' corrected age did not differ between infants fed donor milk or preterm formula., Trial Registration: ClinicalTrials.gov Identifier: NCT01534481.
- Published
- 2024
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