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Article ; Online: Considerations for Implementing Cabotegravir (Apretude) as PrEP for HIV Infection.

Zimmerman, Hannah / Vogl, Allison

2024 Volume 109, Issue 4, Page(s) 296

MeSH term(s)	Humans ; HIV Infections/prevention & control ; Pyridones/therapeutic use ; Pre-Exposure Prophylaxis/methods ; Pyridines/therapeutic use ; HIV Integrase Inhibitors/therapeutic use ; HIV Integrase Inhibitors/administration & dosage ; Anti-HIV Agents/therapeutic use ; Diketopiperazines
Chemical Substances	Pyridones ; cabotegravir (HMH0132Z1Q) ; Pyridines ; HIV Integrase Inhibitors ; Anti-HIV Agents ; Diketopiperazines
Language	English
Publishing date	2024-04-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	412694-4
ISSN	1532-0650 ; 0002-838X ; 0572-3612
ISSN (online)	1532-0650
ISSN	0002-838X ; 0572-3612
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Article ; Online: Predictors of flare-related inpatient or emergency department stay in systemic lupus erythematosus: A real-world analysis of Medicaid claims in the United States.

Wu, Sandra Sze-Jung / Perry, Allison / Zimmerman, Nicole M / Bryant, Gary

Journal of managed care & specialty pharmacy

2023 Volume 30, Issue 1, Page(s) 61–70

Abstract: Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by multisystem inflammation. Medical management of SLE is based on reducing inflammation and tissue damage in the affected organs; however, medications used to ... ...

Abstract	Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by multisystem inflammation. Medical management of SLE is based on reducing inflammation and tissue damage in the affected organs; however, medications used to treat SLE have been found to contribute to additional organ damage. Therefore, finding new ways to predict and prevent flares that require an inpatient (IP) stay or emergency department (ED) visit is critical for reducing the clinical and economic burden in patients with SLE. Objective: To identify risk factors of SLE flares requiring an IP/ED visit among a Medicaid-insured population with SLE. Methods: This retrospective study included patients from the Merative MarketScan Medicaid database (2013-2019). To capture patients at all stages of their SLE journey, all SLE claims for a patient were captured, and the index date was randomly selected among those claims that were at least 12 months after the first evidence of SLE. Patients were required to be continuously enrolled 1-year pre-index (year 1) and post-index (year 2). Demographics, clinical characteristics, and health care use and costs were measured in year 1, and flares requiring an IP/ED visit were identified in year 2 using the Garris algorithm. Multivariable logistic regression and classification and regression tree (CART) modeling were used to identify year 1 predictors and combination of factors, respectively, associated with flares-related IP/ED visits. Results: Of the 8,083 patients included in the study, 37.6% of patients (n = 3,039) had a flare. Logistic regression identified ED visits in year 1 as one of the strongest predictors of flares-related IP/ED visits in year 2 (odds ratio = 2.19 [95% CI = 1.93-2.49]). SLE treatment progression to biologics (0.54 [0.42-0.70]) was the strongest predictor of decreased odds. Other strong predictors included other neurological disorders (1.63 [1.43-1.87]), Black race (1.49 [1.32-1.68]), chronic kidney disease/renal failure (1.35 [1.10-1.66]), and opioid use (1.30 [1.17-1.45]). CART modeling identified patients with an ED visit, an IP admission, and a diagnosis of Elixhauser Comorbidity Index-defined other neurological disorders in year 1 as having the highest probability of a flare-related IP/ED visit in year 2 (probability = 0.708), whereas patients without an ED visit had the lowest probability (probability = 0.185). Conclusions: Patients with the highest risk of a flare that required an IP/ED visit were those with a prior ED visit, IP admission, and other neurological disorders. Modeling also identified patients with prior opioid use, Black patients, and patients without SLE medications as subgroups with a high risk of a flare requiring an IP/ED visit.
MeSH term(s)	Humans ; United States ; Retrospective Studies ; Inpatients ; Medicaid ; Analgesics, Opioid/therapeutic use ; Lupus Erythematosus, Systemic/drug therapy ; Lupus Erythematosus, Systemic/epidemiology ; Inflammation ; Emergency Service, Hospital ; Nervous System Diseases
Chemical Substances	Analgesics, Opioid
Language	English
Publishing date	2023-12-28
Publishing country	United States
Document type	Journal Article
ISSN	2376-1032
ISSN (online)	2376-1032
DOI	10.18553/jmcp.2024.30.1.61
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Article: Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications.

Zimmerman, Allison / Kalra, Dinesh

Reviews in cardiovascular medicine

2020 Volume 21, Issue 3, Page(s) 345–352

Abstract: Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine ... ...

Abstract	Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine learning is a software solution with the ability to analyze large amounts of data and make predictions without prior programming. When faced with new problems with unique challenges as evident in the COVID-19 pandemic, machine learning can offer solutions that are not apparent on the surface by sifting quickly through massive quantities of data and making associations that may have been missed. Artificial intelligence is a broad term that encompasses different tools, including various types of machine learning and deep learning. Here, we review several cardiovascular applications of machine learning and artificial intelligence and their potential applications to cardiovascular diagnosis, prognosis, and therapy in COVID-19 infection.
MeSH term(s)	Betacoronavirus ; COVID-19 ; Cardiovascular Diseases/diagnosis ; Cardiovascular Diseases/etiology ; Coronavirus Infections/complications ; Coronavirus Infections/epidemiology ; Humans ; Machine Learning ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/epidemiology ; Prognosis ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-08-18
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2108910-3
ISSN	1530-6550
ISSN	1530-6550
DOI	10.31083/j.rcm.2020.03.120
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Article ; Online: A Non-Contrast Multi-Parametric MRI Biomarker for Assessment of MR-Guided Focused Ultrasound Thermal Therapies.

Johnson, Sara / Zimmerman, Blake / Odeen, Henrik / Shea, Jill / Winkler, Nicole / Factor, Rachel / Joshi, Sarang / Payne, Allison

IEEE transactions on bio-medical engineering

2023 Volume 71, Issue 1, Page(s) 355–366

Abstract: Objective: We present the development of a non-contrast multi-parametric magnetic resonance (MPMR) imaging biomarker to assess treatment outcomes for magnetic resonance-guided focused ultrasound (MRgFUS) ablations of localized tumors. Images obtained ... ...

Abstract	Objective: We present the development of a non-contrast multi-parametric magnetic resonance (MPMR) imaging biomarker to assess treatment outcomes for magnetic resonance-guided focused ultrasound (MRgFUS) ablations of localized tumors. Images obtained immediately following MRgFUS ablation were inputs for voxel-wise supervised learning classifiers, trained using registered histology as a label for thermal necrosis. Methods: VX2 tumors in New Zealand white rabbits quadriceps were thermally ablated using an MRgFUS system under 3 T MRI guidance. Animals were re-imaged three days post-ablation and euthanized. Histological necrosis labels were created by 3D registration between MR images and digitized H&E segmentations of thermal necrosis to enable voxel-wise classification of necrosis. Supervised MPMR classifier inputs included maximum temperature rise, cumulative thermal dose (CTD), post-FUS differences in T2-weighted images, and apparent diffusion coefficient, or ADC, maps. A logistic regression, support vector machine, and random forest classifier were trained in red a leave-one-out strategy in test data from four subjects. Results: In the validation dataset, the MPMR classifiers achieved higher recall and Dice than a clinically adopted 240 cumulative equivalent minutes at 43 Conclusions: Voxel-wise registration of MPMR data to histological outcomes facilitated supervised learning of an accurate non-contrast MR biomarker for MRgFUS ablations in a rabbit VX2 tumor model.
MeSH term(s)	Humans ; Animals ; Rabbits ; Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging ; Ultrasonography ; Neoplasms ; Necrosis
Language	English
Publishing date	2023-12-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	160429-6
ISSN	1558-2531 ; 0018-9294
ISSN (online)	1558-2531
ISSN	0018-9294
DOI	10.1109/TBME.2023.3303445
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Article: Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications

Zimmerman, Allison / Kalra, Dinesh

Rev Cardiovasc Med

Abstract	Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine learning is a software solution with the ability to analyze large amounts of data and make predictions without prior programming. When faced with new problems with unique challenges as evident in the COVID-19 pandemic, machine learning can offer solutions that are not apparent on the surface by sifting quickly through massive quantities of data and making associations that may have been missed. Artificial intelligence is a broad term that encompasses different tools, including various types of machine learning and deep learning. Here, we review several cardiovascular applications of machine learning and artificial intelligence and their potential applications to cardiovascular diagnosis, prognosis, and therapy in COVID-19 infection.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #875130
Database	COVID19

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Article ; Online: Discussion of an approach to starting a JEDI inventory in a College of Pharmacy.

Schuff Zimmerman, Meghan M / Maclean, Skyler J / DeringAnderson, Allison M / Alexander, Emma D / Maeda, Brooke Taylor Y / Tran, Anh T Q / Hoff, Karen L / Majid, Sonoor J / Stukenholtz, Kaitlyn L / Hansen, Hannah L

Currents in pharmacy teaching & learning

2024 Volume 16, Issue 4, Page(s) 244–254

Abstract: Problem description\The University of Nebraska College of Pharmacy is interested in conducting and learning from an inventory of Justice, Equity, Diversity, and Inclusion (JEDI) within the college.: Quality improvement methods: An extensive literature ...

Abstract	Problem description\The University of Nebraska College of Pharmacy is interested in conducting and learning from an inventory of Justice, Equity, Diversity, and Inclusion (JEDI) within the college. Quality improvement methods: An extensive literature review was undertaken to define the terms included in JEDI and to craft a listing of ideal inventory components. Results of cqi inquiry: The terms used in JEDI were defined and a list of 148 ideal inventory components was created. This list is further segmented by the JEDI components themselves and by five assessment factors including: representation, curriculum & education, policies & procedures, support & resources, and college climate. Interpretation and discussion: The attempt to create an ideal listing of JEDI inventory components resulted in an unusably large number of potential items. This occurred intentionally to allow the next steps in the longitudinal creation of a workable, quantifiable, and evaluative JEDI inventory process. Describing these preliminary efforts are important in the ultimate acceptance of the results of the JEDI inventory. Conclusion: Deliberate and extensive listing of initial aspirations for a JEDI inventory of a College of Pharmacy or any institution allows for sufficient input and breadth to help assure that no significant factor is overlooked as the process is refined.
MeSH term(s)	Humans ; Pharmacy ; Pharmaceutical Services ; Curriculum
Language	English
Publishing date	2024-02-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	2515217-8
ISSN	1877-1300 ; 1877-1297
ISSN (online)	1877-1300
ISSN	1877-1297
DOI	10.1016/j.cptl.2024.02.007
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Article ; Online: Promoting respectful maternity care using a behavioral design approach in Zambia: results from a mixed-methods evaluation.

Smith, Jana / Schachter, Allison / Banay, Rachel / Zimmerman, Emily / Vargas, Ariadna / Sellman, Abigail / Kamanga, Ameck

Reproductive health

2022 Volume 19, Issue 1, Page(s) 141

Abstract: Background: Respectful maternity care (RMC) has been elevated in the global discourse, however, instances of disrespect and abuse remain prevalent. While several studies have highlighted promising approaches to promote RMC, this body of literature is ... ...

Abstract	Background: Respectful maternity care (RMC) has been elevated in the global discourse, however, instances of disrespect and abuse remain prevalent. While several studies have highlighted promising approaches to promote RMC, this body of literature is still limited and few approaches have been scaled outside the initial study sites. Building on formative research conducted through a behavioral science lens, we sought to develop and test evidence-based, low-cost solutions to promote RMC which would be well-positioned for scale-up. Our study highlights the effectiveness of the solution package on provider provision of respectful care and client satisfaction, as well as intermediary outcomes and behavioral mechanisms. Methods: A quasi-experimental evaluation, informed by the behavioral design approach, was completed to test the effectiveness of a 5-component solution package in Chipata, Zambia. Quantitative surveys were collected from health facility providers and postpartum clients at baseline and endline in intervention and comparison facilities. Additional qualitative interviews were conducted with health facility providers and postpartum clients at endline. We also conducted interviews with health facility in-charges and observed labor and delivery practices at intervention facilities over the course of implementation. Results: Evidence suggested that at endline, clients at implementation facilities were less likely to experience disrespect and abuse compared to clients at comparison facilities (ß = - 0.15 p = 0.01). Clients at intervention facilities were more likely to request pain management compared to clients at comparison facilities (ß = 0.33, p = 0.003). The solutions were simple for providers to implement and were easily integrated into existing services by providers during labor and delivery. Providers at intervention facilities also described the pain management toolkit as helpful in expanding the types of pain management techniques used during labor. Conclusions: The results of this small-scale study act as a proof of concept, demonstrating that the behavioral design approach can lead to solutions that show potential for impact. In other settings where providers face similar barriers to providing RMC, an adaptation of this solution package might lead to similarly positive results. Given the global scale of disrespectful care, these low-cost solutions hold promise for improving the quality of care women receive during labor and delivery.
MeSH term(s)	Attitude of Health Personnel ; Delivery, Obstetric ; Female ; Humans ; Male ; Maternal Health Services ; Parturition ; Pregnancy ; Professional-Patient Relations ; Quality of Health Care ; Zambia
Language	English
Publishing date	2022-06-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2149029-6
ISSN	1742-4755 ; 1742-4755
ISSN (online)	1742-4755
ISSN	1742-4755
DOI	10.1186/s12978-022-01447-1
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Article: Pretransplant Cardiac Evaluation Using Novel Technology.

Hemu, Mohamad / Zimmerman, Allison / Kalra, Dinesh / Okwuosa, Tochukwu

Journal of clinical medicine

2019 Volume 8, Issue 5

Abstract: Hematopoietic stem-cell transplantation (HSCT) is a complex procedure that has been increasingly successful in treating malignant and nonmalignant conditions. Despite its effectiveness, it can be associated with potentially life-threatening adverse ... ...

Abstract	Hematopoietic stem-cell transplantation (HSCT) is a complex procedure that has been increasingly successful in treating malignant and nonmalignant conditions. Despite its effectiveness, it can be associated with potentially life-threatening adverse effects. New onset heart failure, ischemic disease, and arrhythmias are among the most notable cardiovascular complications post-HSCT. As a result, appropriate cardiac risk stratification prior to transplant could result in decreased morbidity and mortality by identifying patients with a higher probability of tolerating possible toxicities associated with HSCT. In this review, we aim to discuss the utility of cardiac screening using novel modalities of imaging technology in the pre-HSCT phase.
Language	English
Publishing date	2019-05-16
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2662592-1
ISSN	2077-0383
ISSN	2077-0383
DOI	10.3390/jcm8050690
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Article ; Online: News of Biomedical Advances in HIV: Relationship to Treatment Optimism and Expected Risk Behavior in US MSM.

Zimmerman, Rick S / Kirschbaum, Allison L

AIDS and behavior

2017 Volume 22, Issue 2, Page(s) 367–378

Abstract: HIV treatment optimism and the ways in which news of HIV biomedical advances in HIV is presented to the most at-risk communities interact in ways that affect risk behavior and the incidence of HIV. The goal of the current study was to understand the ... ...

Abstract	HIV treatment optimism and the ways in which news of HIV biomedical advances in HIV is presented to the most at-risk communities interact in ways that affect risk behavior and the incidence of HIV. The goal of the current study was to understand the relationships among HIV treatment optimism, knowledge of HIV biomedical advances, and current and expected increased risk behavior as a result of reading hypothetical news stories of further advances. Most of an online-recruited sample of MSM were quite knowledgeable about current biomedical advances. After reading three hypothetical news stories, 15-24% of those not living with HIV and 26-52% of those living with HIV reported their condom use would decrease if the story they read were true. Results suggest the importance of more cautious reporting on HIV biomedical advances, and for targeting individuals with greater treatment optimism and those living with HIV via organizations where they are most likely to receive their information about HIV.
MeSH term(s)	Adult ; Antiretroviral Therapy, Highly Active ; Attitude ; Biomedical Research/trends ; HIV Infections/drug therapy ; Health Knowledge, Attitudes, Practice ; Homosexuality, Male/psychology ; Humans ; Male ; Motivation ; Optimism ; Risk-Taking ; Safe Sex ; Sexual Behavior ; United States ; Unsafe Sex/psychology ; Young Adult
Language	English
Publishing date	2017-05-01
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1339885-4
ISSN	1573-3254 ; 1090-7165
ISSN (online)	1573-3254
ISSN	1090-7165
DOI	10.1007/s10461-017-1744-3
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Article ; Online: Mechanochemical Release of N-Heterocyclic Carbenes from Flex-Activated Mechanophores.

Shen, Hang / Larsen, Michael B / Roessler, Allison G / Zimmerman, Paul M / Boydston, Andrew J

Angewandte Chemie (International ed. in English)

2021 Volume 60, Issue 24, Page(s) 13559–13563

Abstract: We have discovered a new flex-activated mechanophore that releases an N-heterocyclic carbene (NHC) under mechanical load. The mechanophore design is based upon NHC-carbodiimide (NHC-CDI) adducts and demonstrates an important first step toward flex- ... ...

Abstract	We have discovered a new flex-activated mechanophore that releases an N-heterocyclic carbene (NHC) under mechanical load. The mechanophore design is based upon NHC-carbodiimide (NHC-CDI) adducts and demonstrates an important first step toward flex-activated designs capable of further downstream reactivities. Since the flex-activation is non-destructive to the main polymer chains, the material can be subjected to multiple compression cycles to achieve iterative increases in the activation percentage of mechanophores. Two different NHC structures were demonstrated, signifying the potential modularity of the mechanophore design.
Language	English
Publishing date	2021-05-07
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202100576
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