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Arndt BG, Micek MA, Rule A, Shafer CM, Baltus JJ, Sinsky CA. More Tethered to the EHR: EHR Workload Trends Among Academic Primary Care Physicians, 2019-2023. Ann Fam Med 2024; 22:12-18. [PMID: 38253499 DOI: 10.1370/afm.3047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 08/23/2023] [Accepted: 09/05/2023] [Indexed: 01/24/2024] Open
Abstract
PURPOSE The purpose of this study is to evaluate recent trends in primary care physician (PCP) electronic health record (EHR) workload. METHODS This longitudinal study observed the EHR use of 141 academic PCPs over 4 years (May 2019 to March 2023). Ambulatory full-time equivalency (aFTE), visit volume, and panel size were evaluated. Electronic health record time and inbox message volume were measured per 8 hours of scheduled clinic appointments. RESULTS From the pre-COVID-19 pandemic year (May 2019 to February 2020) to the most recent study year (April 2022 to March 2023), the average time PCPs spent in the EHR per 8 hours of scheduled clinic appointments increased (+28.4 minutes, 7.8%), as did time in orders (+23.1 minutes, 58.9%), inbox (+14.0 minutes, 24.4%), chart review (+7.2 minutes, 13.0%), notes (+2.9 minutes, 2.3%), outside scheduled hours on days with scheduled appointments (+6.4 minutes, 8.2%), and on unscheduled days (+13.6 minutes, 19.9%). Primary care physicians received more patient medical advice requests (+5.4 messages, 55.5%) and prescription messages (+2.3, 19.5%) per 8 hours of scheduled clinic appointments, but fewer patient calls (-2.8, -10.5%) and results messages (-0.3, -2.7%). While total time in the EHR continued to increase in the final study year (+7.7 minutes, 2.0%), inbox time decreased slightly from the year prior (-2.2 minutes, -3.0%). Primary care physicians' average aFTE decreased 5.2% from 0.66 to 0.63 over 4 years. CONCLUSIONS Primary care physicians' time in the EHR continues to grow. While PCPs' inbox time may be stabilizing, it is still substantially higher than pre-pandemic levels. It is imperative health systems develop strategies to change the EHR workload trajectory to minimize PCPs' occupational stress and mitigate unnecessary reductions in effective physician workforce resulting from the increased EHR burden.
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Affiliation(s)
- Brian G Arndt
- Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Mark A Micek
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Adam Rule
- Information School, University of Wisconsin-Madison, Madison, Wisconsin
| | - Christina M Shafer
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
- Independent consultant, Madison, Wisconsin
| | - Jeffrey J Baltus
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Christine A Sinsky
- Professional Satisfaction and Practice Sustainability, American Medical Association, Chicago, Illinois
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Arndt BG, Micek MA, Rule A, Shafer CM, Baltus JJ, Sinsky CA. Refining Vendor-Defined Measures to Accurately Quantify EHR Workload Outside Time Scheduled With Patients. Ann Fam Med 2023; 21:264-268. [PMID: 37217321 DOI: 10.1370/afm.2960] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 05/24/2023] Open
Abstract
Accurately quantifying clinician time spent on electronic health record (EHR) activities outside the time scheduled with patients is critical for understanding occupational stress associated with ambulatory clinic environments. We make 3 recommendations regarding EHR workload measures that are intended to capture time working in the EHR outside time scheduled with patients, formally defined as work outside of work (WOW): (1) separate all time working in the EHR outside of time scheduled with patients from time working in the EHR during time scheduled with patients, (2) do not exclude any time before or after scheduled time with patients, and (3) encourage the EHR vendor and research communities to develop and standardize validated, vendor-agnostic methods for measuring active EHR use. Attributing all EHR work outside time scheduled with patients to WOW, regardless of when it occurs, will produce an objective and standardized measure better suited for use in efforts to reduce burnout, set policy, and facilitate research.
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Affiliation(s)
- Brian G Arndt
- Department of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Mark A Micek
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Adam Rule
- Information School, University of Wisconsin-Madison, Madison, Wisconsin
| | - Christina M Shafer
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin
- Independent consultant, Madison, Wisconsin
| | - Jeffrey J Baltus
- Department of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, Wisconsin
| | - Christine A Sinsky
- Professional Satisfaction and Practice Sustainability, American Medical Association, Chicago, Illinois
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Burnside ES, Trentham-Dietz A, Shafer CM, Hampton JM, Alagoz O, Cox JR, Mischo E, Schrager SB, Wilke LG. Age-based versus Risk-based Mammography Screening in Women 40-49 Years Old: A Cross-sectional Study. Radiology 2019; 292:321-328. [PMID: 31184557 DOI: 10.1148/radiol.2019181651] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Background Risk-based screening in women 40-49 years old has not been evaluated in routine screening mammography practice. Purpose To use a cross-sectional study design to compare the trade-offs of risk-based and age-based screening for women 45 years of age or older to determine short-term outcomes. Materials and Methods A retrospective cross-sectional study was performed by using a database of 20 539 prospectively interpreted consecutive digital screening mammograms in 10 280 average-risk women aged 40-49 years who were screened at an academic medical center between January 1, 2006, and December 31, 2013. Two hypothetical screening scenarios were compared: an age-based (≥45 years) scenario versus a risk-based (a 5-year risk of breast cancer greater than that of an average 50-year-old) scenario. Risk factors for risk-based screening included family history, race, age, prior breast biopsy, and breast density. Outcomes included breast cancers detected at mammography, false-positive mammograms, and benign biopsy findings. Short-term outcomes were compared by using the χ2 test. Results The screening population included 71 148 screening mammograms in 24 928 women with a mean age of 55.5 years ± 8.9 (standard deviation) (age range, 40-74 years). In women 40-49 years old, usual care included 50 screening-detected cancers, 1787 false-positive mammograms, and 384 benign biopsy results. The age-based (≥45 years) screening strategy revealed more cancers than did the risk-based strategy (34 [68%] vs 13 [26%] of 50; P < .001), while prompting more false-positive mammograms (899 [50.3%] vs 216 [12.1%] of 1787; P < .001) and benign biopsy results (175 [45.6%] vs 49 [12.8%] of 384; P < .001). The risk-based strategy demonstrated low levels of eligibility (few screenings) in the 40-44-year age group. Differences in outcomes in the 45-49-year age group explained the overall hypothetical screening strategy differences. Conclusion Risk-based screening for women 40-49 years old includes few women in the 40-44-year age range. Significant trade-offs in the 45-49-year age group explain the overall difference between hypothetical screening scenarios, both of which reduce the benefits as well as the harms of mammography for women 40-49 years old. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Joe and Hayward in this issue.
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Affiliation(s)
- Elizabeth S Burnside
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Amy Trentham-Dietz
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Christina M Shafer
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - John M Hampton
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Oguz Alagoz
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Jennifer R Cox
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Eric Mischo
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Sarina B Schrager
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
| | - Lee G Wilke
- From the Department of Radiology (E.S.B., C.M.S., J.R.C., E.M.), Department of Population Health Sciences and Carbone Cancer Center (A.T., J.M.H.), Department of Family Medicine (S.B.S.), and Department of Surgery (L.G.W.), University of Wisconsin-Madison School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; and Department of Industrial & Systems Engineering, University of Wisconsin-Madison College of Engineering, Madison, Wis (O.A.)
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Lalit PA, Salick MR, Nelson DO, Squirrell JM, Shafer CM, Patel NG, Saeed I, Schmuck EG, Markandeya YS, Wong R, Lea MR, Eliceiri KW, Hacker TA, Crone WC, Kyba M, Garry DJ, Stewart R, Thomson JA, Downs KM, Lyons GE, Kamp TJ. Lineage Reprogramming of Fibroblasts into Proliferative Induced Cardiac Progenitor Cells by Defined Factors. Cell Stem Cell 2016; 18:354-67. [PMID: 26877223 DOI: 10.1016/j.stem.2015.12.001] [Citation(s) in RCA: 136] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Revised: 08/14/2015] [Accepted: 12/03/2015] [Indexed: 12/15/2022]
Abstract
Several studies have reported reprogramming of fibroblasts into induced cardiomyocytes; however, reprogramming into proliferative induced cardiac progenitor cells (iCPCs) remains to be accomplished. Here we report that a combination of 11 or 5 cardiac factors along with canonical Wnt and JAK/STAT signaling reprogrammed adult mouse cardiac, lung, and tail tip fibroblasts into iCPCs. The iCPCs were cardiac mesoderm-restricted progenitors that could be expanded extensively while maintaining multipotency to differentiate into cardiomyocytes, smooth muscle cells, and endothelial cells in vitro. Moreover, iCPCs injected into the cardiac crescent of mouse embryos differentiated into cardiomyocytes. iCPCs transplanted into the post-myocardial infarction mouse heart improved survival and differentiated into cardiomyocytes, smooth muscle cells, and endothelial cells. Lineage reprogramming of adult somatic cells into iCPCs provides a scalable cell source for drug discovery, disease modeling, and cardiac regenerative therapy.
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Affiliation(s)
- Pratik A Lalit
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA; Molecular and Cellular Pharmacology Program, University of Wisconsin-Madison, Madison, WI 53705, USA; Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Max R Salick
- Department of Engineering Physics, University of Wisconsin-Madison, Madison, WI 53705, USA; Wisconsin Institutes for Discovery, University of Wisconsin-Madison, Madison, WI 53705, USA; Material Science Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Daryl O Nelson
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Jayne M Squirrell
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Christina M Shafer
- Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Neel G Patel
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Imaan Saeed
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Eric G Schmuck
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA; Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | | | - Rachel Wong
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Martin R Lea
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Kevin W Eliceiri
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Timothy A Hacker
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA; Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Wendy C Crone
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Engineering Physics, University of Wisconsin-Madison, Madison, WI 53705, USA; Wisconsin Institutes for Discovery, University of Wisconsin-Madison, Madison, WI 53705, USA; Material Science Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Michael Kyba
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA; Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA; Lillehei Heart Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Daniel J Garry
- Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA; Lillehei Heart Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Ron Stewart
- Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - James A Thomson
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA; Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Karen M Downs
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Gary E Lyons
- Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Timothy J Kamp
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA; Molecular and Cellular Pharmacology Program, University of Wisconsin-Madison, Madison, WI 53705, USA; Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA.
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Abstract
PURPOSE Due to its limited angular scan range, breast tomosynthesis has lower resolution in the depth direction, which may limit its accuracy in quantifying tissue density. This study assesses the quantitative potential of breast tomosynthesis using relatively simple reconstruction and image processing algorithms. This quantitation could allow improved characterization of lesions as well as image processing to present tomosynthesis images with the familiar appearance of mammography by preserving more low-frequency information. METHODS All studies were based on a Siemens prototype MAMMOMAT Novation TOMO breast tomo system with a 45 degrees total angular span. This investigation was performed using both simulations and empirical measurements. Monte Carlo simulations were conducted using the breast tomosynthesis geometry and tissue-equivalent, uniform, voxelized phantoms with cuboid lesions of varying density embedded within. Empirical studies were then performed using tissue-equivalent plastic phantoms which were imaged on the actual prototype system. The material surrounding the lesions was set to either fat-equivalent or glandular-equivalent plastic. From the simulation experiments, the effects of scatter, lesion depth, and background material density were studied. The empirical experiments studied the effects of lesion depth, background material density, x-ray tube energy, and exposure level. Additionally, the proposed analysis methods were independently evaluated using a commercially available QA breast phantom (CIRS Model 11A). All image reconstruction was performed with a filtered backprojection algorithm. Reconstructed voxel values within each slice were corrected to reduce background nonuniformities. RESULTS The resulting lesion voxel values varied linearly with known glandular fraction (correlation coefficient R2 > 0.90) under all simulated and empirical conditions, including for the independent tests with the QA phantom. Analysis of variance performed on the fit line parameters revealed statistically significant differences between the two different background materials and between 28 kVp and the remaining energies (26, 30, and 32 kVp) for the dense experimental phantom. How ever, no significant differences arose between different energies for the fatty phantom, nor for any of the many other combinations of parameters. CONCLUSIONS These strong linear relationships suggest that breast tomosynthesis image voxel values, after being corrected by our outlined methods, are highly positively correlated with true tissue density. This consistent linearity implies that breast tomosynthesis imaging indeed has potential to be quantitative.
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Affiliation(s)
- Christina M Shafer
- Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina 27705, USA.
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Abstract
Acivicin [(alphaS,5S)-alpha-amino-3-chloro-4,5-dihydro-5-isoxazoleacetic acid] was investigated as an inhibitor of the triad glutamine amidotransferases, IGP synthase and GMP synthetase. Nucleophilic substitution of the chlorine atom in acivicin results in the formation of an imine-thioether adduct at the active site cysteine. Cys 77 was identified as the site of modification in the heterodimeric IGPS from Escherichia coli (HisHF) by tryptic digest and FABMS. Distinctions in the glutaminase domains of IGPS from E. coli, the bifunctional protein from Saccharomyces cerevisiae (HIS7), and E. coli GMPS were revealed by the differential rates of inactivation. While the ammonia-dependent turnover was unaffected by acivicin, the glutamine-dependent reaction was inhibited with unit stoichiometry. In analogy to the conditional glutaminase activity seen in IGPS and GMPS, the rates of inactivation were accelerated > or =25-fold when a nucleotide substrate (or analogue) was present. The specificity (k(inact)/K(i)app) for acivicin is on the same order of magnitude as the natural substrate glutamine in all three enzymes. The (alphaS,5R) diastereomer of acivicin was tested under identical conditions as acivicin and showed little inhibitory effect on the enzymes indicating that acivicin binds in the glutamine reactive site in a specific conformation. The data indicate that acivicin undergoes a glutamine amidotransferase mechanism-based covalent bond formation in the presence of nucleotide substrates or products. Acivicin and its (alphaS,5R) diastereomer were modeled in the glutaminase active site of GMPS and CPS to confirm that the binding orientation of the dihydroisoxazole ring is identical in all three triad glutamine amidotransferases. Stabilization of the imine-thioether intermediate by the oxyanion hole in triad glutamine amidotransferases appears to confer the high degree of specificity for acivicin inhibition and relates to a common mechanism for inactivation.
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Affiliation(s)
- S V Chittur
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907-1333, USA
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Abstract
2,6-Dideoxy-D-lyxo-hexose was prepared efficiently from D-galactose in eight steps (25% overall yield). The synthesis is amenable to multigram scale-up.
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Affiliation(s)
- C M Shafer
- Department of Chemistry, University of California, Davis 95616, USA
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