|
1
|
Reeves JJ, Longhurst CA, San Miguel SJ, Juarez R, Behymer J, Ramotar KM, Maysent P, Scioscia AL, Millen M. Bringing student health and Well-Being onto a health system EHR: the benefits of integration in the COVID-19 era. J Am Coll Health 2022; 70:1968-1974. [PMID: 33180683 DOI: 10.1080/07448481.2020.1843468] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/08/2020] [Accepted: 10/18/2020] [Indexed: 06/11/2023]
Abstract
ObjectiveTo detail the implementation, benefits and challenges of onboarding campus-based health services onto a health system's electronic health record.ParticipantsUC San Diego Student Health and Well-Being offers medical services to over 39,000 students. UC San Diego Health is an academic medical center.Methods20 workstreams and 9 electronic modules, systems, or interfaces were converted to new electronic systems.Results36,023 student-patient medical records were created. EHR-integration increased security while creating visibility to 19,700 shared patient visits and records from 236 health systems across the country over 6 months. Benefits for the COVID-19 response included access to screening tools, decision support, telehealth, patient alerting system, reporting and analytics, COVID-19 dashboard, and increased testing capabilities.ConclusionIntegration of an interoperable EHR between neighboring campus-based health services and an affiliated academic medical center can streamline case management, improve quality and safety, and increase access to valuable health resources in times of need. Pertinent examples during the COVID-19 pandemic included uninterrupted and safe provision of clinical services through access to existing telehealth platforms and increased testing capacity.
Collapse
Affiliation(s)
- J Jeffery Reeves
- Department of Surgery, University of California, San Diego, La Jolla, California, USA
| | - Christopher A Longhurst
- Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Stacie J San Miguel
- Student Health Services, University of California, San Diego, La Jolla, California, USA
| | - Reina Juarez
- Counseling and Psychological Services, University of California, San Diego, La Jolla, California, USA
| | - Joseph Behymer
- Student Health Services, University of California, San Diego, La Jolla, California, USA
| | - Kevin M Ramotar
- Counseling and Psychological Services, University of California, San Diego, La Jolla, California, USA
| | - Patricia Maysent
- University of California, San Diego Health, Office of the CEO, La Jolla, California, USA
| | - Angela L Scioscia
- Student Health and Well-Being, University of California, San Diego, La Jolla, California, USA
| | - Marlene Millen
- Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| |
Collapse
|
|
2
|
Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Schiabor Barrett KM, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission. Nature 2022; 609:101-108. [PMID: 35798029 PMCID: PMC9433318 DOI: 10.1038/s41586-022-05049-6] [Citation(s) in RCA: 140] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 06/29/2022] [Indexed: 11/23/2022]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing and/or sequencing capacity, which can also introduce biases1–3. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing4,5. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We developed and deployed improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detected emerging variants of concern up to 14 days earlier in wastewater samples, and identified multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission. Emerging SARS-CoV-2 variants of concern were detected early and multiple cases of virus spread not captured by clinical genomic surveillance were identified using high-resolution wastewater and clinical sequencing.
Collapse
Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA.,Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ronald W McLawhon
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA.,Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | | | | | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.,Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K Martin
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego, USA
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Pradeep K Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA.,Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. .,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA. .,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
| |
Collapse
|
|
3
|
Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Barrett KMS, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission. medRxiv 2022:2021.12.21.21268143. [PMID: 35411350 PMCID: PMC8996633 DOI: 10.1101/2021.12.21.21268143] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.
Collapse
Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M. Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M. Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B. Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C. Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L. Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Nicholson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ian H Mchardy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - David P Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S. Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K. Martin
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R. MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T. Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA
| | - Pradeep K. Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C. Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
|
4
|
Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Barrett KMS, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission. medRxiv 2022. [PMID: 35411350 DOI: 10.1101/2022.01.27.22269965] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.
Collapse
Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ronald W McLawhon
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Nicholson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ian H Mchardy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K Martin
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA
| | - Pradeep K Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
|
5
|
Warshak CR, Eskander R, Hull AD, Scioscia AL, Mattrey RF, Benirschke K, Resnik R. Accuracy of Ultrasonography and Magnetic Resonance Imaging in the Diagnosis of Placenta Accreta. Obstet Gynecol 2006; 108:573-81. [PMID: 16946217 DOI: 10.1097/01.aog.0000233155.62906.6d] [Citation(s) in RCA: 397] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The incidence of placenta accreta has increased dramatically over the last three decades, in concert with the increase in the cesarean delivery rate. Optimal management requires accurate prenatal diagnosis. The purpose of this study was to determine the precision and reliability of ultrasonography and magnetic resonance imaging (MRI) in diagnosing placenta accreta. METHODS A historical cohort study was performed with information gathered from our obstetric, radiologic, and pathology databases. Records from January 2000 to June 2005 were reviewed to identify patients with a diagnosis of placenta previa, low-lying placenta with a prior cesarean delivery, or history of a myomectomy to determine the accuracy of pelvic ultrasonography in the diagnosis of placenta accreta. The records of those considered to be suspicious for placenta accreta and subsequently referred for additional confirmation by MRI were also analyzed. The sonographic and MRI diagnoses were compared with the final pathologic or operative findings or with both. RESULTS Of the 453 women with placenta previa, previous cesarean delivery and low-lying anterior placenta, or previous myomectomy, 39 had placenta accreta confirmed by pathological examination. Ultrasonography accurately predicted placenta accreta in 30 of 39 of women and correctly ruled out placenta accreta in 398 of 414 without placenta accreta (sensitivity 0.77, specificity 0.96). Forty-two women underwent MRI evaluation because of findings suspicious or inconclusive of placenta accreta by ultrasonography. Magnetic resonance imaging accurately predicted placenta accreta in 23 of 26 cases with placenta accreta and correctly ruled out placenta accreta in 14 of 14 (sensitivity 0.88, specificity 1.0). CONCLUSION A two-stage protocol for evaluating women at high risk for placenta accreta, which uses ultrasonography first, and then MRI for cases with inconclusive ultrasound features, will optimize diagnostic accuracy.
Collapse
Affiliation(s)
- Carri R Warshak
- Department of Reproductive Medicine, University of California School of Medicine, La Jolla, California, USA
| | | | | | | | | | | | | |
Collapse
|
|
6
|
McEwing RL, Alton K, Johnson J, Scioscia AL, Pretorius DH. First-trimester diagnosis of osteogenesis imperfecta type II by three-dimensional sonography. J Ultrasound Med 2003; 22:311-314. [PMID: 12636334 DOI: 10.7863/jum.2003.22.3.311] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Affiliation(s)
- Rachael L McEwing
- University of California, San Diego, Fetal Diagnosis and Treatment Center, La Jolla, California, USA
| | | | | | | | | |
Collapse
|
|
7
|
Liu CC, Pretorius DH, Scioscia AL, Hull AD. Sonographic prenatal diagnosis of marginal placental cord insertion: clinical importance. J Ultrasound Med 2002; 21:627-632. [PMID: 12054298 DOI: 10.7863/jum.2002.21.6.627] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
OBJECTIVE To assess the impact of a sonographic diagnosis of marginal placental cord insertion on birth weight and duration of pregnancy. METHODS A retrospective chart review was performed for 100 singleton pregnancies with prospectively identified marginal placental cord insertion. RESULTS Birth weights below the 10th percentile occurred in 6.25% of pregnancies without preeclampsia. Spontaneous preterm delivery occurred in 7.3% of pregnancies without preeclampsia. Rates of birth weight below the 10th percentile and preterm delivery were not significantly different from those in the general population. Preeclampsia developed in 4 patients; all had elective preterm deliveries, and all gave birth to neonates with birth weights below the 10th percentile. CONCLUSIONS A prenatal diagnosis of marginal placental cord insertion is not associated with increased risk of growth impairment or preterm delivery.
Collapse
Affiliation(s)
- Charles C Liu
- Department of Radiology, University of California, San Diego, USA
| | | | | | | |
Collapse
|
|
8
|
Levental M, Pretorius DH, Scioscia AL, Jundi K, Wallace D, Budorick NE. Prenatal detection of echogenic bowel in a fetus with familial microvillous atrophy. J Ultrasound Med 2002; 21:351-354. [PMID: 11883547 DOI: 10.7863/jum.2002.21.3.351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
|
|
9
|
Budorick NE, Kelly TF, Dunn JA, Scioscia AL. The single umbilical artery in a high-risk patient population: what should be offered? J Ultrasound Med 2001; 20:619-628. [PMID: 11400936 DOI: 10.7863/jum.2001.20.6.619] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
OBJECTIVE To determine whether fetal echocardiography is warranted in cases of single umbilical artery in a population at risk for aneuploidy. METHODS All cases of fetal single umbilical artery identified over a 2-year period were reviewed for other sonographically detected abnormalities, fetal echocardiographic results, and karyotype. RESULTS Sixty-five cases of single umbilical artery were diagnosed on the basis of initial sonograms. Five were subsequently shown to have 3-vessel cords (8% false-positive diagnosis; incidence, 1.2%). Excluding 3 from twin gestations, 57 cases formed the study population. Thirty-one fetuses (54%) were initially thought to have isolated single umbilical arteries, and 26 (46%) had nonisolated single umbilical arteries. Fetal echocardiography was performed in 29 cases (51%), 24 (83%) with normal findings and 5 (17%) with abnormal findings. Four (50%) of 8 nonisolated single umbilical arteries had abnormal echocardiographic findings versus 1 (5%) of 21 apparently isolated single umbilical arteries (P < .05; odds ratio, 20). Karyotypes in 36 cases (63%) showed 25 (69%) euploid and 11 (31%) aneuploid fetuses. An apparently isolated single umbilical artery was never associated with an abnormal karyotype. Eleven (50%) of 22 fetuses with nonisolated single umbilical arteries had aneuploidy (P < .005). The side of the missing umbilical artery did not correlate with other sonographically detected abnormalities, abnormal fetal echocardiographic findings, or aneuploidy. CONCLUSIONS The rate of cardiac malformations seen with apparently isolated single umbilical arteries is significant, and fetal echocardiography should be performed.
Collapse
Affiliation(s)
- N E Budorick
- Department of Radiology, University of California, San Diego, USA
| | | | | | | |
Collapse
|
|
10
|
Sohl BD, Scioscia AL, Budorick NE, Moore TR. Utility of minor ultrasonographic markers in the prediction of abnormal fetal karyotype at a prenatal diagnostic center. Am J Obstet Gynecol 1999; 181:898-903. [PMID: 10521750 DOI: 10.1016/s0002-9378(99)70322-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
OBJECTIVE This study was undertaken to assess the value of minor ultrasonographic markers in predicting significant karyotypic abnormalities. STUDY DESIGN A total of 2743 fetuses (14-24 weeks' gestation) prospectively underwent a detailed ultrasonographic survey before genetic amniocentesis. Criteria for 8 minor ultrasonographic markers were established. Odds ratios for significant karyotypic abnormalities in the presence of minor ultrasonographic markers were calculated with the chi(2) and Fisher exact tests. RESULTS Of the fetuses, 14.6% had a single minor ultrasonographic marker, 2.1% had >/=2 minor ultrasonographic markers, and 2.7% had >/=1 major ultrasonographic abnormality. One hundred four fetuses (3.8%) had an abnormal karyotype. Compared with a normal ultrasonographic examination result a single minor ultrasonographic marker increased the risk of karyotypic abnormality 5.7-fold (95% confidence interval, 3.5-9.3), whereas multiple minor markers increased the risk of an abnormal karyotype 12-fold (95% confidence interval, 5.5-26.5). When they were identified ultrasonographically in isolation, echogenic bowel, 2-vessel umbilical cord, echogenic intracardiac foci, choroidal separation, and choroid plexus cysts were statistically associated with an abnormal karyotype. When minor markers were identified in clusters of >/=2, echogenic bowel, short femur, 2-vessel umbilical cord, echogenic intracardiac foci, and mild ventriculomegaly were significantly predictive of karyotypic abnormality. With respect to the a priori aneuploidy risk of 1:26 and the a priori Down syndrome risk of 1:50, a normal ultrasonographic examination result reduced the risks to 1:67 and 1:120, respectively. The use of minor ultrasonographic markers in addition to major ultrasonographic abnormalities increased the detection of karyotypic abnormality from 27.9% to 68.3%. For trisomy 21 the sensitivity rose from 16.4% to 67. 3%. CONCLUSIONS Significant karyotypic abnormality risk assessment by ultrasonography was greatly enhanced by the addition of minor ultrasonographic markers. Further, clusters of minor ultrasonographic markers greatly increased the likelihood of karyotypic abnormality compared with a single minor marker. A completely normal ultrasonographic examination result reduced the risk of an abnormal karyotype by 62%. Inclusion of minor ultrasonographic markers in the genetic sonogram in a high-risk population will allow the detection of 68% of fetuses with karyotypic abnormalities with a false-positive rate of 17%.
Collapse
Affiliation(s)
- B D Sohl
- Division of Perinatal Medicine, Department of Reproductive Medicine, University of California-San Diego, USA
| | | | | | | |
Collapse
|
|
11
|
Vibhakar NI, Budorick NE, Scioscia AL, Harby LD, Mullen ML, Sklansky MS. Prevalence of aneuploidy with a cardiac intraventricular echogenic focus in an at-risk patient population. J Ultrasound Med 1999; 18:265-270. [PMID: 10206213 DOI: 10.7863/jum.1999.18.4.265] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The objective of this study was to determine the relative risk for aneuploidy in the presence of a cardiac intraventricular echogenic focus in a patient population at high risk for aneuploidy. A retrospective cohort study was conducted on patients referred to a fetal diagnostic center who were undergoing amniocentesis. Records and second trimester sonograms were reviewed. Approximately 5100 comprehensive prenatal sonograms were obtained over a 2 year study period. Karyotyping by amniocentesis was done in 2412 women; 84 of the karyotypes (3.5%) were abnormal. Fetuses with no ultrasonographic findings suggestive of aneuploidy had a 1.4% (28 of 1940) prevalence of significant chromosomal abnormalities. An intraventricular echogenic focus was found in 149 of the women with karyotype analysis; 15 had an abnormal karyotype. Fetuses with intraventricular echogenic foci had a relative risk of 3.30 of aneuploidy when compared to fetuses without echogenic cardiac foci. The presence of an isolated intraventricular echogenic focus carried a relative risk of 4.08 compared to those fetuses in which ultrasonography had no finding associated with aneuploidy. In conclusion, these preliminary data indicate that presence of an intraventricular echogenic cardiac focus carries an increased risk of fetal aneuploidy.
Collapse
Affiliation(s)
- N I Vibhakar
- Department of Radiology, University of California, San Diego, USA
| | | | | | | | | | | |
Collapse
|
|
12
|
Cullen MT, Green JJ, Scioscia AL, Gabrielli S, Sanchez-Ramos L, Hobbins JC. Ultrasonography in the detection of aneuploidy in the first trimester. J Ultrasound Med 1995; 14:559-563. [PMID: 7474051 DOI: 10.7863/jum.1995.14.8.559] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Ultrasonography has been used increasingly in the first trimester to identify fetal anomalies as early as possible in gestation. First trimester sonographic screening may detect a greater proportion of aneuploid fetuses than sonography performed later in pregnancy, and it may allow determination of potential markers for prediction of chromosomal anomalies.
Collapse
Affiliation(s)
- M T Cullen
- Department of Obstetrics and Gynecology, Florida Hospital, Orlando 32803, USA
| | | | | | | | | | | |
Collapse
|
|
13
|
Scioscia AL. Maternal-fetal medicine. Curr Opin Obstet Gynecol 1995. [DOI: 10.1097/00001703-199504000-00001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
|
14
|
Pretorius DH, Budorick NE, Scioscia AL, Krabbe JK, Ko S, Myhre CM. Twin pregnancies in the second trimester in women in an alpha-fetoprotein screening program: sonographic evaluation and outcome. AJR Am J Roentgenol 1993; 161:1007-13. [PMID: 7506005 DOI: 10.2214/ajr.161.5.7506005] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE We correlated sonographic findings with fetal outcomes in women with unsuspected twin pregnancies who had sonography in the second trimester as part of a screening program for maternal serum alpha-fetoprotein (MSAFP) level and history of neural tube defect. MATERIALS AND METHODS The study group consisted of 97 women with twin pregnancies who participated in a screening program for MSAFP level and history of neural tube defect. Seventy-three had normal MSAFP levels, 21 had elevated MSAFP levels, and two had low MSAFP levels. One patient had a family history of anencephaly. All 97 patients had sonography during their second trimester of pregnancy. Sonographic findings were reviewed retrospectively for information on gestational age, fetal anomalies, sex of the fetus, location of the placenta, presence and thickness of a dividing membrane, and interpretation of amnionicity and chorionicity. Information on fetal outcome included gestational age at delivery, survival, birth weight, sex, congenital anomalies, obstetric complications, amnionicity, chorionicity, and placental abnormalities. RESULTS Amnionicity and chorionicity were correctly detected on sonograms in 44 (90%) of 49 diamniotic-dichorionic gestations, 23 (72%) of 32 diamniotic-monochorionic gestations, and two (50%) of four monoamniotic-monochorionic gestations. Fetal anomalies were present at delivery in five neonates and had been correctly detected at sonography in one (hemivertebra); one fetus with duodenal atresia had abnormal sonographic findings in the third trimester. Missed anomalies included absent forearm, cleft lip and palate, and imperforate anus. Sex of the fetuses was correctly predicted on the basis of sonographic findings in 40 of 43 pairs. Nine twin pairs had possible twin-twin transfusion syndrome suspected sonographically on the basis of abnormal fluid volumes, discrepant growth measurements, and abnormal findings on Doppler studies. Outcomes included two confirmed cases of the syndrome (two survivors, two deaths) and three probable cases (six deaths); four pregnancies resulted in eight survivors who were delivered after 34.4 weeks' gestation and had birth weights in the 25th percentile or higher. Survival rates for diamniotic-dichorionic, diamniotic-monochorionic, and monoamniotic-monochorionic gestations were 90%, 91%, and 50%, respectively. Fetuses in women with MSAFP levels greater than 4.5 multiples of the median and with monochorionic placentation had lower survival rates than fetuses in women with normal MSAFP levels and monochorionic placentation (67% vs 96%). Half the fetuses delivered after 20 weeks' gestation had birth-weight discordance of less than 10%. Premature deliveries occurred in 56% of pregnancies. CONCLUSION The results suggest that (1) sonography is useful in predicting placentation, (2) placentation may be helpful in predicting fetal outcome, (3) increased MSAFP levels correlate with increased perinatal mortality in diamniotic-monochorionic pregnancies, and (4) caution should be taken in diagnosing and determining prognosis for suspected twin-twin transfusion syndrome in the second trimester.
Collapse
Affiliation(s)
- D H Pretorius
- Department of Radiology, University of California, San Diego Medical Center, CA 92103
| | | | | | | | | | | |
Collapse
|
|
15
|
Larson JM, Pretorius DH, Budorick NE, Scioscia AL. Value of maternal serum alpha-fetoprotein levels of 5.0 MOM or greater and prenatal sonography in predicting fetal outcome. Radiology 1993; 189:77-81. [PMID: 7690492 DOI: 10.1148/radiology.189.1.7690492] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
PURPOSE To determine fetal outcomes and the capability of sonography to help predict these outcomes in patients with maternal serum alpha-fetoprotein (MSAFP) levels of 5.0 multiples of the median or greater. MATERIALS AND METHODS Real-time sonography was performed in patients with singleton and multiple gestations. After sonography, the pregnancy was monitored. RESULTS Inaccurate historical dating caused elevated MSAFP levels in 14 patients. In the remaining 72 singleton gestations, 42 fetuses (58%) had anomalies, 13 (18%) died in utero or after birth, three (4%) had intrauterine growth retardation or were premature, and 14 (19%) were normal, with no complications. A poor outcome occurred in 58 (80%) of the singleton pregnancies, and sonography depicted an abnormality in 49 (84%) of these patients. CONCLUSION Most pregnant patients with MSAFP levels of 5.0 MOM or greater have an unfavorable outcome. Sonography depicts most of these abnormal pregnancies.
Collapse
Affiliation(s)
- J M Larson
- Department of Radiology, University of California, San Diego Medical Center
| | | | | | | |
Collapse
|
|
16
|
Abstract
We report a female infant noted prenatally to have an umbilical cord mass. At birth, a labial strawberry haemangioma was noted. She subsequently developed an abdominal mass which was discovered to be a proliferating haemangioma, continuous with both the labial and the umbilical stump lesions.
Collapse
Affiliation(s)
- L K Weyerts
- Division of Dysmorphology, Children's Hospital of San Diego, California
| | | | | | | |
Collapse
|
|
17
|
Abstract
OBJECTIVE Our objective was to examine the outcomes of pregnancies in which echogenic bowel was detected in the second trimester. STUDY DESIGN Twenty-two cases with a prospective diagnosis of echogenic bowel were reviewed. Karyotypic studies were performed in 19 cases, and 17 families had deoxyribonucleic acid-based risk assessment for cystic fibrosis. The echogenicity of the bowel was retrospectively reviewed and graded as mild or bright. RESULTS Five cases of trisomy 21 and one case of trisomy 18 were detected; four of these had other ultrasonographic abnormalities. Twenty-seven percent of fetuses with echogenic bowel were aneuploid. Risk was greatest for cases with brightly echogenic bowel. No cystic fibrosis mutations were detected. The diagnosis of echogenic bowel was reproducible. CONCLUSION Brightly echogenic bowel in the second trimester was found to be associated with a significant risk of fetal aneuploidy.
Collapse
Affiliation(s)
- A L Scioscia
- Department of Reproductive Medicine, University of California, San Diego 92103
| | | | | | | | | | | |
Collapse
|
|
18
|
Abstract
Intrauterine death of one fetus in a multiple gestation is associated with significant morbidity and mortality in the surviving infant. This study is a retrospective review of 38 twin and 3 triplet gestations involving the intrauterine death of at least one fetus. The obstetrical history, placental pathology, autopsy findings, and neonatal history of the surviving infant are reviewed. Three cases involved the recent stillbirth of both twins, the remaining cases involved a surviving infant. In one case, neonatal death of a surviving twin occurred on day 19. In two sets of triplets, two stillbirths occurred, in the third case two infants were liveborn. The incidence of preterm delivery was 34%, which decreased to 18% if fetal cotwin death had occurred before 20 weeks gestation. Cesarean section was the method of delivery in 16 cases. There was an excess of velamentous cord insertions, which was most pronounced in the stillborn twin. Monochorionic placentation was found in 72%, also an excess. Neurological damage was known to have occurred in 19 of the 39 surviving infants. Fifteen of these 19 (79%) were associated with monochorionic placentation. The neurologically damaged twin infants, when compared to the normal infants, had the cotwin die later in gestation (31 vs 16.5 weeks), had a shorter duration between the death of the cotwin and delivery (2.5 vs 21 weeks), and delivered earlier in gestation (36.5 vs 39.5 weeks). The probable cause of neurological damage, in our opinion, was either exsanguination into the dead twin fetus, or disseminated intravascular coagulation which occurred in at least 13 cases. The incidence of antepartum death in a multiple gestation, and the potential for neurological damage is probably higher than previously thought. A review of the literature is presented and the clinical implications of this phenomenon are discussed.
Collapse
Affiliation(s)
- S Liu
- Department of Pathology, University of California, San Diego
| | | | | | | |
Collapse
|
|
19
|
Cahill TC, Bookstein R, Axelrod F, Ngo KY, Scioscia AL. Resolution of DNA linkage discrepancies through analysis of a VNTR locus in a family study of cystic fibrosis. Prenat Diagn 1990; 10:795-9. [PMID: 2075181 DOI: 10.1002/pd.1970101206] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
First-trimester prenatal diagnosis of a fetus at 25 per cent risk for cystic fibrosis (CF) was performed by indirect linkage analysis of polymorphic markers using Southern blotting and polymerase chain reaction (PCR) amplification. The results revealed discrepancies in the allelic patterns between the father and the affected child, thereby complicating the prediction of fetal outcome. Analysis of a highly polymorphic VNTR locus within the human retinoblastoma (RB) gene on chromosome 13 showed that the affected child and the fetus did not have the same biological father, and therefore the affected child could not be used to determine linkage of markers in the father of the fetus. The analysis of VNTR loci can be an effective method of resolving conflicting data during prenatal diagnosis of monogenic diseases.
Collapse
Affiliation(s)
- T C Cahill
- Department of Medicine, University of California, San Diego 92093
| | | | | | | | | |
Collapse
|
|
20
|
Scioscia AL, Grannum PA, Copel JA, Hobbins JC. Reply. Am J Obstet Gynecol 1990. [DOI: 10.1016/0002-9378(90)90444-c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
|
21
|
Abstract
The rapid diagnosis of intra-amniotic infection in patients with premature rupture of the membranes (PROM) and preterm labor is of utmost importance. The Gram's stain examination of amniotic fluid can only detect half of these infections. The acridine orange (AO) stain has been claimed to be superior to the Gram's stain in the detection of bacteria in biologic fluids. Therefore, we undertook the present study to examine the value of AO in the detection of bacteria in amniotic fluid. One hundred and thirty-eight patients with a culture-documented prevalence of intra-amniotic infection of 23.2% were studied. The diagnostic indices of the AO were: sensitivity, 43.8%, specificity, 97.2%, positive predictive value, 82.8%, and negative predictive value, 85.1%; the diagnostic indices for the Gram's stain were: sensitivity, 46.8%, specificity, 98.1%, positive predictive value, 88.2%, and negative predictive value, 85.9%. There was no difference in the diagnostic values of the tests. The agreement between the two techniques was substantial, as indicated by a kappa index of 0.72 (SE = 0.17, p less than 0.001). The AO offered no significant advantage over the Gram's stain examination of amniotic fluid in the detection of intra-amniotic infection. However, the AO stain was able to identify mycoplasma infections that escaped detection by the Gram's stain. Therefore, the AO is presently the only microscopic technique capable of detecting mycoplasma in amniotic fluid.
Collapse
Affiliation(s)
- R Romero
- Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, Connecticut 06510
| | | | | | | | | | | | | |
Collapse
|
|
22
|
Reece EA, Scioscia AL, Pinter E, Hobbins JC, Green J, Mahoney MJ, Naftolin F. Prognostic significance of the human yolk sac assessed by ultrasonography. Am J Obstet Gynecol 1988; 159:1191-4. [PMID: 3056006 DOI: 10.1016/0002-9378(88)90445-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Ultrasonographic examinations were conducted between 6 and 12 weeks' gestation in 77 first-trimester pregnancies with normal fetal outcome. Each examination consisted of measurements of the secondary yolk sac diameter and the fetal crown-rump length. The yolk sac was seen in all cases, and whereas its measurements demonstrated wide biologic variability, it correlated weakly (R2 = 0.39) with gestational age as confirmed by crown-rump length measurements. Growth of the yolk sac diameter, although slight, assumed a curvilinear relationship with gestational age. Such a growth profile is best described by a second-degree polynomial regression equation. The yolk sac performs important functions for embryonic development during organogenesis and the remnant of the secondary yolk sac seen on ultrasonography is often considered to be a potential predictor of fetal outcome. Our findings indicate that the size of this remnant in pregnancies with normal karyotypes and normal fetal outcomes is extremely variable. Additionally, the yolk sac size in patients with karyotypic abnormalities and spontaneous abortion were equally variable and almost all were within the normal range. In light of these findings, the secondary yolk sac size does not appear to be a sensitive predictor of embryonic integrity and pregnancy outcome.
Collapse
Affiliation(s)
- E A Reece
- Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, CT 06510
| | | | | | | | | | | | | |
Collapse
|
|
23
|
Abstract
Maternal immune thrombocytopenic purpura has been associated with profound fetal and neonatal thrombocytopenia. Percutaneous umbilical blood sampling offers a reliable method of determining the fetal platelet count antenatally and optimizing obstetric management. We present our experience with this technique in 19 gestations.
Collapse
Affiliation(s)
- A L Scioscia
- Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, CT 06510
| | | | | | | |
Collapse
|
|
24
|
Reece EA, Copel JA, Scioscia AL, Grannum PA, DeGennaro N, Hobbins JC. Diagnostic fetal umbilical blood sampling in the management of isoimmunization. Am J Obstet Gynecol 1988; 159:1057-62. [PMID: 3142263 DOI: 10.1016/0002-9378(88)90412-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Current management of isoimmunization in pregnancy is predicted on the assumption that all sensitized women carry antigen-positive fetuses. In addition, management is based on indirect predictors of the magnitude of the fetal hemolytic disease. We present a preliminary report using a new approach of direct fetal blood sampling for the diagnosis and treatment of these patients. This form of evaluation provides specific information about fetal red blood cell antigen status and the degree of fetal anemia at an earlier gestational age than that validated by the Liley curves and eliminates empiricism from both the diagnosis and treatment of the isoimmunized pregnancy. The use of such a management protocol reduces the need for multiple invasive procedures in fetuses at little risk for disease and provides specific information about the status of those fetuses truly at risk.
Collapse
Affiliation(s)
- E A Reece
- Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, CT 06510
| | | | | | | | | | | |
Collapse
|
|
25
|
Scioscia AL, Merino MJ, Haas M, Copel JA, Schwartz PE. Malignant mixed müllerian tumor of the uterus arising in association with a viable gestation. Obstet Gynecol 1988; 71:1047-50. [PMID: 2836770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Malignant mixed müllerian tumors of the uterus are rare neoplasms occurring predominantly in postmenopausal women. We report the prenatal course and diagnosis of a stage III malignant mixed müllerian tumor at cesarean section in a 35-year-old woman. Despite aggressive radiation and chemotherapy, the patient died 14 weeks after diagnosis and initial surgical therapy. The premature infant had an uneventful course.
Collapse
Affiliation(s)
- A L Scioscia
- Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, Connecticut
| | | | | | | | | |
Collapse
|
|
26
|
Grannum PA, Copel JA, Moya FR, Scioscia AL, Robert JA, Winn HN, Coster BC, Burdine CB, Hobbins JC. The reversal of hydrops fetalis by intravascular intrauterine transfusion in severe isoimmune fetal anemia. Am J Obstet Gynecol 1988; 158:914-9. [PMID: 3284364 DOI: 10.1016/0002-9378(88)90094-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Seventy-two intrauterine intravascular transfusions were performed on 26 patients with severe erythroblastosis fetalis. Twenty of the 26 fetuses were hydropic at the time of referral. Of the 20 hydropic fetuses, 16 (80%) survived. Hydrops was completely reversed in 13 of the 16 fetuses (81%). Total protein of less than 3 gm/dl, albumin less than 2 gm/dl, and a hematocrit level of less than 15% were associated with hydrops fetalis. After hydrops was reversed, total protein greater than 3 gm/dl, albumin greater than 2 gm/dl, along with a sustained hematocrit level of greater than 15%, were found. Only three neonates were born with minimal ascites, two of whom had had intraperitoneal transfusions before intravascular treatments. There were 21 survivors of the total group, giving an overall survival rate of 82%. There was one neonatal death from severe respiratory distress syndrome. Thirty-eight percent of the neonates did not require exchange transfusions in the newborn period. Intrauterine intravascular transfusions appear to be an effective mode of therapy in severe erythroblastosis fetalis and not only increase survival rates but also decrease neonatal morbidity and mortality.
Collapse
Affiliation(s)
- P A Grannum
- Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, CT 06510
| | | | | | | | | | | | | | | | | |
Collapse
|
|
27
|
Reece EA, Scioscia AL, Green J, O'Connor TZ, Hobbins JC. Embryonic trunk circumference: a new biometric parameter for estimation of gestational age. Am J Obstet Gynecol 1987; 156:713-5. [PMID: 3548387 DOI: 10.1016/0002-9378(87)90084-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
One hundred thirty-one uncomplicated, singleton pregnancies between 7 and 12 weeks of gestation were ultrasonically examined. Evaluation included confirmation of cardiac activity and measurements of fetal crown-rump length and trunk circumference. Both crown-rump length and trunk circumference were curvilinearly correlated with gestational age. A second- and third-degree polynomial equation best described this curvilinear relationship between trunk circumference and gestational age and between crown-rump length and gestational age. The crown-rump length and trunk circumference were similar in their prediction of gestational age, but the combination of the two parameters did not improve the prediction of gestational age. A nomogram of gestational age as predicted by trunk circumference was generated. These data provide an additional measurement for the estimation of gestational age in the first trimester of pregnancy.
Collapse
|
|
28
|
Lockwood CJ, Scioscia AL, Hobbins JC. Congenital absence of the umbilical cord resulting from maldevelopment of embryonic body folding. Am J Obstet Gynecol 1986; 155:1049-51. [PMID: 2946230 DOI: 10.1016/0002-9378(86)90345-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
We report a case of extreme maldevelopment of embryonic body folding that resulted in incomplete fusion of the amnion to the chorion and failure to form an umbilical cord. Massive intra-abdominal and intrathoracic herniation led to rapid neonatal death. The accurate ultrasonic characterization of the defect enabled prudent perinatal management.
Collapse
|
|
29
|
Kohorn EI, Scioscia AL, Jeanty P, Hobbins JC. Ultrasound cystourethrography by perineal scanning for the assessment of female stress urinary incontinence. Obstet Gynecol 1986; 68:269-72. [PMID: 3526217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Perineal scanning using linear array ultrasound was used as an alternative to radiologic cystourethrography in the investigation of female urinary incontinence. The technique provides similar information to that obtained by fluoroscopy without exposing the patient and the physician to radiation. The bladder neck and urethra as well as the urodynamic catheter are readily visualized. Familiarity with the unusual configuration of the sonogram needs to be attained.
Collapse
|
|
30
|
Grannum PA, Copel JA, Plaxe SC, Scioscia AL, Hobbins JC. In utero exchange transfusion by direct intravascular injection in severe erythroblastosis fetalis. N Engl J Med 1986; 314:1431-4. [PMID: 3702951 DOI: 10.1056/nejm198605293142207] [Citation(s) in RCA: 80] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
|
|
31
|
Romero R, Scioscia AL, Edberg SC, Hobbins JC. Use of parenteral antibiotic therapy to eradicate bacterial colonization of amniotic fluid in premature rupture of membranes. Obstet Gynecol 1986; 67:15S-17S. [PMID: 3945461 DOI: 10.1097/00006250-198603001-00005] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The successful eradication of bacterial colonization of the amniotic fluid with parenteral maternal antibiotic therapy in a preterm gestation with premature rupture of membranes is reported. Amniotic fluid, obtained by amniocentesis, of a pregnancy complicated by premature rupture of membranes at 29 weeks was found to have three different bacterial species (Bacteroides bivius, Veillonella parvula, and Peptococcus). Because of prematurity and clinical quiescence, parenteral antibiotics were administered to the mother. Repeat amniocentesis was performed during treatment and 48 hours after the cessation of antibiotics failed to demonstrate bacterial growth in the amniotic fluid. Fetal lung maturity was attained, and an induction of labor was performed when antepartum heart rate testing was equivocal. This was accomplished without maternal or fetal/neonatal mishap.
Collapse
|