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Showing 10 of 108036 citations.

Cervical spinal cord hemisection impacts sigh and the respiratory reset in male rats
Fogarty, Matthew J. , Zhan, Wen‐Zhi, Fogarty, Matthew J , Mantilla, Carlos B. , Sieck, Gary C.

Mayo Clinic

Physiological Reports | March 12, 2024 | Volume: 12 | Issue: 5 | Pages: No page available

10.14814/phy2.15973 | PMID 38467570 Get It

AbstractCervical spinal cord injury impacts ventilatory and non‐ventilatory functions of the diaphragm muscle (DIAm) and contributes to clinical morbidity and mortality in the afflicted population. Periodically, integrated brainstem neural circuit activity drives the DIAm to generate a markedly augmented effort or sigh—which plays an important role in preventing atelectasis and thus maintaining lung function. Across species, the general pattern of DIAm efforts during a normal sigh is variable in amplitude and the extent of post‐sigh “apnea” (i.e., the post‐sigh inter‐breath interval). This post‐sigh inter‐breath interval acts as a respiratory reset, following the interruption of regular respiratory rhythm by sigh. We examined the impact of upper cervical (C2) spinal cord hemisection (C2SH) on the transdiaphragmatic pressure (Pdi) generated during sighs and the post‐sigh respiratory reset in rats. Sighs were identified in Pdi traces by their characteristic biphasic pattern. We found that C2SH results in a reduction of Pdi during both eupnea and sighs, and a decrease in the immediate post‐sigh breath interval. These results are consistent with partial removal of descending excitatory synaptic inputs to phrenic motor neurons that results from C2SH. Following cervical spinal cord injury, a reduction in the amplitude of Pdi during sighs may compromise the maintenance of normal lung function.
The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement
Pereyra, Milagros , Mahmoud, Ahmed K., Galasso, Francesca , Killian, Michael , Suppah, Mustafa, Kenyon, Courtney , Koepke, Laura, Padang, Ratnasari , Sweeney, John P., Fortuin, F. David , Eleid, Mackram F. , Steidley, D. Eric , Scott, Luis R. , Grogan, Martha , Rosenthal, Julie , Mahmoud, Ahmed , Pereyra, Milagros , Killian, Michael E, Kenyon, Courtney R, Koepke, Laura M, Padang, Ratnasari , Steidley, David E, Lopez-Jimenez, Francisco , Rosenthal, Julie L., Mahmoud, Ahmed K , Farina, Juan M. , Scalia, Isabel G. , Chao, Chieh‐Ju , Sell‐Dottin, Kristen , Fonseca, Rafaël , López-Jiménez, Francisco , Attia, Zachi I. , Dispenzieri, Angela , Arsanjani, Reza

Mayo Clinic

European Heart Journal - Digital Health | March 11, 2024 | Volume: 5 | Issue: 3 | Pages: 295-302

10.1093/ehjdh/ztae022 | PMID 38774378 Get It

Abstract Aims Cardiac amyloidosis (CA) is common in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Cardiac amyloidosis has poor outcomes, and its assessment in all TAVR patients is costly and challenging. Electrocardiogram (ECG) artificial intelligence (AI) algorithms that screen for CA may be useful to identify at-risk patients. Methods and results In this retrospective analysis of our institutional National Cardiovascular Disease Registry (NCDR)-TAVR database, patients undergoing TAVR between January 2012 and December 2018 were included. Pre-TAVR CA probability was analysed by an ECG AI predictive model, with >50% risk defined as high probability for CA. Univariable and propensity score covariate adjustment analyses using Cox regression were performed to compare clinical outcomes between patients with high CA probability vs. those with low probability at 1-year follow-up after TAVR. Of 1426 patients who underwent TAVR (mean age 81.0 ± 8.5 years, 57.6% male), 349 (24.4%) had high CA probability on pre-procedure ECG. Only 17 (1.2%) had a clinical diagnosis of CA. After multivariable adjustment, high probability of CA by ECG AI algorithm was significantly associated with increased all-cause mortality [hazard ratio (HR) 1.40, 95% confidence interval (CI) 1.01–1.96, P = 0.046] and higher rates of major adverse cardiovascular events (transient ischaemic attack (TIA)/stroke, myocardial infarction, and heart failure hospitalizations] (HR 1.36, 95% CI 1.01–1.82, P = 0.041), driven primarily by heart failure hospitalizations (HR 1.58, 95% CI 1.13–2.20, P = 0.008) at 1-year follow-up. There were no significant differences in TIA/stroke or myocardial infarction. Conclusion Artificial intelligence applied to pre-TAVR ECGs identifies a subgroup at higher risk of clinical events. These targeted patients may benefit from further diagnostic evaluation for CA.
Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer’s disease pathology in the population?
Pradeep, Aishwarya , Raghavan, Sheelakumari, Przybelski, Scott A. , Preboske, Gregory M., Lowe, Val J. , Petersen, Ronald C. , Graff‐Radford, Jonathan , Preboske, Gregory, Raghavan, Sheelakumari , Schwarz, Christopher G. , Knopman, David S. , Jack, Clifford R. , Cogswell, Petrice M. , Vemuri, Prashanthi

Mayo Clinic

No container title available | March 11, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-4017874/v1 | PMID 38558965 Get It

Abstract Background White matter hyperintensities (WMH) are considered hallmark features of cerebral small vessel disease and have recently been linked to Alzheimer’s disease pathology. Their distinct spatial distributions, namely periventricular versus deep WMH, may differ by underlying age-related and pathobiological processes contributing to cognitive decline. We aimed to identify the spatial patterns of WMH using the 4-scale Fazekas visual assessment and explore their differential association with age, vascular health, Alzheimer’s imaging markers, namely amyloid and tau burden, and cognition. Because our study consisted of scans from GE and Siemens scanners with different resolutions, we also investigated inter-scanner reproducibility and combinability of WMH measurements on imaging. Methods We identified 1144 participants from the Mayo Clinic Study of Aging consisting of older adults from Olmsted County, Minnesota with available structural magnetic resonance imaging (MRI), amyloid, and tau positron emission tomography (PET). WMH distribution patterns were assessed on FLAIR-MRI, both 2D axial and 3D, using Fazekas ratings of periventricular and deep WMH severity. We compared the association of periventricular and deep WMH scales with vascular risk factors, amyloid-PET and tau-PET standardized uptake value ratio, WMH volume, and cognition using Pearson partial correlation after adjusting for age. We also evaluated vendor compatibility and reproducibility of the Fazekas scales using intraclass correlations (ICC). Results Periventricular and deep WMH measurements showed similar correlations with age, cardiometabolic conditions score (vascular risk), and cognition, (p < 0.001). Both periventricular WMH and deep WMH showed weak associations with amyloidosis (R = 0.07, p = < 0.001), and none with tau burden. We found substantial agreement between data from the two scanners for Fazekas measurements (ICC = 0.78). The automated WMH volume had high discriminating power for identifying participants with Fazekas ≥ 2 (area under curve = 0.97). Conclusion Our study investigates risk factors underlying WMH spatial patterns and their impact on global cognition, with no discernible differences between periventricular and deep WMH. We observed minimal impact of amyloidosis on WMH severity. These findings, coupled with enhanced inter-scanner reproducibility of WMH data, suggest the combinability of inter-scanner data assessed by harmonized protocols in the context of vascular contributions to cognitive impairment and dementia biomarker research.
Neuro-Ophthalmic Literature Review
Bellows, David A., Chen, John J. , Cheng, Hui‐Chen , Vaphiades, Michael S., Chen, John J , Chan, Noel C. Y. , McClelland, Collin M. , Zhang, Xiaojun

Mayo Clinic

Neuro-Ophthalmology | March 11, 2024 | Volume: 48 | Issue: 2 | Pages: 152-158

10.1080/01658107.2024.2305573 Get It

Effect of Preoperative Antibiotic Therapy on Operative Culture Yield for Diagnosis of Native Joint Septic Arthritis
Khodadadi, Ryan B. , McHugh, Jack , Zein, Said El , Lahr, Brian D. , Yuan, Brandon J. , Saleh, Omar Abu , Damronglerd, Pansachee, McHugh, Jack , El Zein, Said , Yuan, Brandon , Abu Saleh, Omar M, Khodadadi, Ryan B , Damronglerd, Pansachee , Suh, Gina A. , Tande, Aaron J.

Mayo Clinic

Clinical Infectious Diseases | March 11, 2024 | Volume: 79 | Issue: 4 | Pages: 1062-1070

10.1093/cid/ciae136 | PMID 38466824 Get It

Abstract Background Native joint septic arthritis (NJSA) is definitively diagnosed by a positive Gram stain or culture, along with supportive clinical findings. Preoperative antibiotics are known to alter synovial fluid cell count, Gram stain, and culture results and are typically postponed until after arthrocentesis to optimize diagnostic accuracy. However, data on the impact of preoperative antibiotics on operative culture yield for NJSA diagnosis are limited. Methods We retrospectively reviewed adult cases of NJSA who underwent surgery at Mayo Clinic facilities from 2012 to 2021 to analyze the effect of preoperative antibiotics on operative culture yield through a paired analysis of preoperative culture (POC) and operative culture (OC) results using logistic regression and generalized estimating equations. Results Two hundred ninety-nine patients with NJSA affecting 321 joints were included. Among those receiving preoperative antibiotics, yield significantly decreased from 68.0% at POC to 57.1% at OC (P &lt; .001). In contrast, for patients without preoperative antibiotics there was a non-significant increase in yield from 60.9% at POC to 67.4% at OC (P = .244). In a logistic regression model for paired data, preoperative antibiotic exposure was more likely to decrease OC yield compared to non-exposure (odds ratio [OR] = 2.12; 95% confidence interval [CI] = 1.24–3.64; P = .006). Within the preoperative antibiotic group, additional antibiotic doses and earlier antibiotic initiation were associated with lower OC yield. Conclusions In patients with NJSA, preoperative antibiotic exposure resulted in a significant decrease in microbiologic yield of operative cultures as compared to patients in whom antibiotic therapy was held prior to obtaining operative cultures.
Back to the Future: Integrating Artificial Intelligence and Automation for Patient Safety
Varkey, Prathibha

Mayo Clinic

Journal of Healthcare Management | March 11, 2024 | Volume: 69 | Issue: 2 | Pages: 96-98

10.1097/jhm-d-24-00024 | PMID 38467023 Get It

National Survey of Oncologists' Knowledge, Attitudes, and Practice Behaviors: Caring for Cancer Patients Experiencing Incarceration
Iwai, Yoshiko , Li, Jian , Isaacs, Tamia J., Jun, Sung , Elmore, Shekinah N C , Kamran, Sophia C. , Oladeru, Oluwadamilola T.

Mayo Clinic

Journal of Correctional Health Care | March 11, 2024 | Volume: 30 | Issue: 2 | Pages: 97-106

10.1089/jchc.23.08.0064 | PMID 38466954 Get It

Social Determinants of Health and Redirection of Care for Infants Born Extremely Preterm
Bann, Carla , Vohr, Betty R. , McGowan, Elisabeth C. , Harmon, Heidi M. , Hintz, Susan R. , Duncan, Andrea F. , Polin, Richard A. , Laptook, Abbot R. , Mayne, Julie, Lamberson, Vita, Keszler, Mary Lenore, Hensman, Angelita M. , Vieira, Elisa , Pierre, Lucille St., Burke, Robert T., Alksninis, Barbara, Leach, Teresa M., Knoll, Andrea M., Moffat, Stephanie, Newman, Nancy S., Wilson-Costello, Deanne E. , Siner, Bonnie S., Friedman, Harriet, Truog, William E., Pallotto, Eugenia K. , Kilbride, Howard W. , Gauldin, Cheri, Holmes, Anne, Johnson, Kathy, Scott, Allison, Parimi, Prabhu S., Gaetano, Lisa, Merhar, Stephanie L. , Schibler, Kurt, Poindexter, Brenda B. , Cahill, Tanya E., Dudley, Juanita , Gratton, Teresa L., Grisby, Cathy, Henkes, Lisa, Kirker, Kristin, Stacey, Sara, Wuertz, Sandra, Cotten, C. Michael , Goldberg, Ronald N., Goldstein, Ricki F., Malcolm, William , Ashley, Patricia L., Mago-Shah, Deesha, Finkle, Joanne, Fisher, Kimberley A. , Gustafson, Kathryn E. , Bose, Carl , Bernhardt, Janice, Bose, Gennie, Clark, Cindy, Wereszczak, Janice, Warner, Diane, Talbert, Jennifer, Kicklighter, Stephen D. , Bentley, Alexandra, Edwards, Laura , Rhodes-Ryan, Ginger, Carlton, David P., Loggins, Yvonne, Adams‐Chapman, Ira , Bottcher, Diane I., Carter, Sheena L., Hale, Ellen C., Kendrick-Allwood, Salathiel, Laursen, Judith, LaRossa, Maureen Mulligan, Mackie, Colleen, Sanders, Amy , Smikle, Gloria V., Wineski, Lynn, Walsh, Michele C. , Bremer, Andrew A. , Higgins, Rosemary D. , Archer, Stephanie Wilson , Sokol, Gregory M. , Papile, L.A., Herron, Dianne E., Hines, Abbey C. , Lytle, Carolyn, Smiley, Lucy, Wilson, Leslie Dawn, Watkins, Donna, Gunn, Susan, Joyce, Jeff, Tyson, Jon E., Kennedy, Kathleen A. , Mosquera, Ricardo A. , Eason, Elizabeth, Stephens, Emily K. , Alaniz, Nora I., Allain, Elizabeth, Arldt-McAlister, Julie, Boricha, Fatima, Burson, Katrina, Garcia, Carmen, Hall, Donna J., John, Janice , Jones, Patrick M., Lillie, M. Layne, Mason, Carrie M., Martin, Karen , Martin, Sara C., McDavid, Georgia E., McKee, Shannon L. , Poe, Michelle, Rennie, Kimberly , Reddy, Tina, Rodgers, Shawna, Siddiki, Saba Khan, Sperry, Daniel K., Tate, Patti L. Pierce, Wright, Sharon L., Zanger, Dinorah, Jadcherla, Sudarshan R. , Timan, Christopher J., Luzader, Patricia, Batterson, Nancy, Baugher, Hallie, Beckford, Demi R., Burkhardt, Stephanie, Carey, Helen , Chao, Michelle, Cira, Courtney, Clark, Erna, DeSantis, Brittany, Fowler, Aubrey, Gutentag, Julie, Grothause, Jennifer L., Hague, Cole , Levengood, Katelyn, Marzec, Laura, McCool, Jacqueline, Miller, Bethany, Nelin, Mary Ann , Park, Courtney, Purnell, Jessica, Seabrook, Ruth , Shadd, Julie C., Small, Kristi , Stein, Melanie, Sullivan, Margaret, Sullivan, Rox Ann, Warnimont, Kyrstin, Yossef‐Salameh, Lina, Fearns, Erin, Wallace, Dennis, Auman, Jeanette O’Donnell , Gabrio, Jenna, Huitema, Carolyn M. Petrie , Zaterka-Baxter, Kristin M. , Meurs, Krisa P. Van , Chock, Valerie Y. , Stevenson, David K. , Ball, M. Bethany , Bahmani, Dona, Adams, Marian M. , Bentley, Barbara, DeAnda, Maria Elena, DeBattista, Anne M., Earhart, Beth, Huffman, Lynne C. , Krueger, Casey E., Lucash, Ryan E., Proud, Melinda S., Reichert, Elizabeth N., Weiss, Hali E., Williams, R. Jordan , Peralta-Carcelén, Myriam , Collins, Monica V., Cosby, Shirley S., Bailey, Kirstin J., Biasini, Fred J., Chopko, Stephanie A., Domnanovich, Kristy A., Jno-Finn, Chantel J., Ladinsky, Morissa, Moses, Mary Beth, Buie, Cindie, McNair, Tara E., Phillips, Vivien A., Preskitt, Julie , Rector, Richard V., Stringer, Kimberlly, Whitley, Sally, Chapman, Sheree York, Devaskar, Uday, Garg, Meena, Purdy, Isabell B., Chanlaw, Teresa , Geller, Rachel , Johnson, Karen, Eastman, Diane L., Walker, Jacky R., Goeke, Claire A., Schmelzel, Mendi L., Faruqui, Sarah E., Coulter, Brenda J., Schrimper, Bailey M., Jellison, Sydney S., Knosp, L.K., Arnold, Sandra J., Andrews, Haley A., Ellsbury, Dan L., Bass, Donia B., Tud, Tracy L., Baack, Michelle , Richards, Laurie A., Henning, Megan M., Elenkiwich, Chelsey, Broadbent, Megan, Muyden, Sarah Van, Brodkorb, Aimee, Watterberg, Kristi L. , Fuller, Janell, Ohls, Robin K. , Lacy, Conra Backstrom, Hartenberger, Carol, Beauman, Sandra Sundquist , Hanson, Mary, Lowe, Jean, Kuan, Elizabeth, Eichenwald, Eric C. , Abbasi, Soraya, Chaudhary, Aasma S. , Cucinotta, Dara M., Bernbaum, Judy, Gerdes, Marsha , Ghavam, Savin, Hurt, Hallam, Snyder, Jonathan, Ziolkowski, Kristina, Dhawan, Megan , Booth, Lauren, Catts, Christine, D’Angio, Carl T., Guillet, Ronnie , Myers, Gary J. , Reynolds, Anne Marie , Wadkins, Holly I.M., Sacilowski, Michael G., Jensen, Rosemary L., Merzbach, Joan, Zorn, William, Farooq, Osman , Maffett, Dee, Williams, Ashley, Hunn, Julianne, Guilford, Stephanie , Yost, Kelley, Rowan, Mary, Prinzing, Diane, Bowman, Melissa, Reubens, Linda J., Scorsone, Ann Marie, Harley-McAndrew, Michelle, Fallone, Caitlin, Binion, Kyle, Orme, Constance, Sabaratnam, Premini , Jones, Rachel , Boylin, Elizabeth, Rochez, Daisy, Li, Emily, Kachelmeyer, Jennifer , McKee, Kimberly G., Coleman, Kelly R., Moreland, Melissa, Cavanaugh, Brenna, Wyckoff, Myra H. , Heyne, Roy J. , Vasil, Diana M., Adams, Sally S., Chen, Lijun , Leon, Maria Magdalena, Duran, Joanne, Eubanks, Frances, McDougald, Rebecca, Pavageau, Lara, Sepulveda, Pollieanna , Guzman, Alicia, Harrod, M. J. E., Heyne, Elizabeth T., Madden, Linda A., Lee, Lizette E. , Puentez, Anna E., Tolentino-Plata, Kristine , Boatman, Cathy Twell, Vera, Azucena, Waterbury, Jillian, Yoder, Bradley A. , Baserga, Mariana , Faix, Roger G., Minton, Stephen D., Sheffield, Mark J., Rau, Carrie A., Baker, Shawna, Burnett, Jill, Christensen, Susan, Bledsoe, Laura Cole, Cunningham, Sean D. , Davis, Brandy, Elmont, Jennifer O., Hall, Becky, Jensen, Erika R., Loertscher, Manndi C., Marchant, Trisha, Maxson, Earl, McGrath, Kandace M., Mickelsen, Hena G., Morshedzadeh, Galina, Parry, Dilys M. , Reich, Brixen A., Schaefer, Susan T., Stout, Kelly, Stuart, Ashley L., Weaver-Lewis, Kimberlee, Winter, Sarah , Woodbury, Kathryn D., Osborne, Karen A., Bird, Karie, Coleman, Kathleen, Francom, Barbara L., Jordan, Jamie, Steffen, Mike, Tice, Katherine, Shankaran, Seetha , Natarajan, Girija , Pappas, Athina, Sood, Beena G. , Bajaj, Monika , February, Melissa, Agarwal, Prashant , Chawla, Sanjay , Bara, Rebecca, Childs, Kirsten, Woldt, Eunice, Goldston, Laura A., Wiggins, Stephanie A., Christensen, Mary, Carlson, Martha, White, Diane F., Baack, Michelle L , Brumbaugh, Jane E. , Bell, Edward F. , Travers, Colm P. , Carlo, Waldemar A. , Keszler, Martin , Watson, Victoria E. , Hibbs, Anna Maria , Kim, Jae Hong , Yolton, Kimberly , Russell, David G. , Laughon, Matthew Maxwell , White, Donna, Patel, Ravi M. , Stoll, Barbara J. , Sewell, Elizabeth , Maitre, Nathalie L. , (deceased), Jeff Joyce, Khan, Amir M , Rysavy, Matthew A. , Dempsey, Allison G. , White, Michelle, Sánchez, Pablo J. , Slaughter, Jonathan L. , Nelin, Leif Daniel , Yeates, Keith Owen , Fortney, Christine A. , Keim, Sarah A. , Newton, Julia L. , Pietruszewski, Lindsay , Das, Abhik , Gantz, Marie G. , Wiener, Laura Elizabeth , Crawford, Margaret M. , Newman, Jamie E. , Parlberg, Lindsay M. , Taylor, Heather Lee , Ambalavanan, Namasivayam , Colaizy, Tarah T. , Widness, John A. , DeMauro, Sara B. , Schmidt, Barbara Kristina , Kirpalani, Haresh Murli , Mancini, Toni, Lakshminrusimha, Satyan , Kent, Alison , Brion, Luc P. , Leon, Maria M. De, Harrod, Michelle, Parry, D. Melody, Coleman, Kathleen, Barks, John

Mayo Clinic

JAMA Pediatrics | March 11, 2024 | Volume: 178 | Issue: 5 | Pages: 454

10.1001/jamapediatrics.2024.0125 | PMID 38466268 Get It

ImportanceRedirection of care refers to withdrawal, withholding, or limiting escalation of treatment. Whether maternal social determinants of health are associated with redirection of care discussions merits understanding.ObjectiveTo examine associations between maternal social determinants of health and redirection of care discussions for infants born extremely preterm.Design, Setting, and ParticipantsThis is a retrospective analysis of a prospective cohort of infants born at less than 29 weeks’ gestation between April 2011 and December 2020 at 19 National Institute of Child Health and Human Development Neonatal Research Network centers in the US. Follow-up occurred between January 2013 and October 2023. Included infants received active treatment at birth and had mothers who identified as Black or White. Race was limited to Black and White based on service disparities between these groups and limited sample size for other races. Maternal social determinant of health exposures were education level (high school nongraduate or graduate), insurance type (public/none or private), race (Black or White), and ethnicity (Hispanic or non-Hispanic).Main Outcomes and MeasuresThe primary outcome was documented discussion about redirection of infant care. Secondary outcomes included subsequent redirection of care occurrence and, for those born at less than 27 weeks’ gestation, death and neurodevelopmental impairment at 22 to 26 months’ corrected age.ResultsOf the 15 629 infants (mean [SD] gestational age, 26 [2] weeks; 7961 [51%] male) from 13 643 mothers, 2324 (15%) had documented redirection of care discussions. In unadjusted comparisons, there was no significant difference in the percentage of infants with redirection of care discussions by race (Black, 1004/6793 [15%]; White, 1320/8836 [15%]) or ethnicity (Hispanic, 291/2105 [14%]; non-Hispanic, 2020/13 408 [15%]). However, after controlling for maternal and neonatal factors, infants whose mothers identified as Black or as Hispanic were less likely to have documented redirection of care discussions than infants whose mothers identified as White (Black vs White adjusted odds ratio [aOR], 0.84; 95% CI, 0.75-0.96) or as non-Hispanic (Hispanic vs non-Hispanic aOR, 0.72; 95% CI, 0.60-0.87). Redirection of care discussion occurrence did not differ by maternal education level or insurance type.Conclusions and RelevanceFor infants born extremely preterm, redirection of care discussions occurred less often for Black and Hispanic infants than for White and non-Hispanic infants. It is important to explore the possible reasons underlying these differences.
Partnering With Parents to Dismantle “Good-Death” Narratives
McCarthy, Sarah , Snaman, Jennifer M. , McCarthy, Sarah R. , McCarthy, Sarah R , Broden, Elizabeth G. , McCarthy, Sarah R.

Mayo Clinic

JAMA Pediatrics | March 11, 2024 | Volume: 178 | Issue: 5 | Pages: 431

10.1001/jamapediatrics.2024.0103 | PMID 38466276 Get It

This Viewpoint dismantles the notion of a “good death” in pediatrics using quotes from bereaved parents and provides actionable alternatives to improve quality end-of-life care for dying children and their families.
Manuscript best practices: Takeaways from a community conversation
Tapper, Elliot B. , Wong, Carmen Chak-Lui , Malhi, Harmeet , Gores, Gregory J.

Mayo Clinic

Hepatology | March 11, 2024 | Volume: 79 | Issue: 6 | Pages: 1243-1245

10.1097/hep.0000000000000849 | PMID 38466823 Get It