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Article ; Online: Compassion Versus Accuracy: Lenient Scoring of the Spatial Orientation Items on the Mini-mental State Exam Lowers Sensitivity.

Kent, Katrina / Adly Ibrahim, Nesrine / Romero, Kristoffer / Baker, Shannon / Greenacre, Matthew / Boucher, Chantal M / Roth, Robert M / Erdodi, Laszlo A

Alzheimer disease and associated disorders

2024 Volume 38, Issue 1, Page(s) 98–100

Abstract: The Mini-mental State Examination (MMSE) is a commonly used screening tool for cognitive impairment. Lenient scoring of spatial orientation errors (SOEs) on the MMSE is common and negatively affects its diagnostic utility. We examined the effect of ... ...

Abstract	The Mini-mental State Examination (MMSE) is a commonly used screening tool for cognitive impairment. Lenient scoring of spatial orientation errors (SOEs) on the MMSE is common and negatively affects its diagnostic utility. We examined the effect of lenient SOE scoring on MMSE classification accuracy in a consecutive case series of 103 older adults (age 60 or above) clinically referred for neuropsychological evaluation. Lenient scoring of SOEs on the MMSE occurred in 53 (51.4%) patients and lowered the sensitivity by 7% to 18%, with variable gains in specificity (0% to 11%) to psychometrically operationalized cognitive impairment. Results are consistent with previous reports that lenient scoring is widespread and attenuates the sensitivity of the MMSE. Given the higher clinical priority of correctly detecting early cognitive decline over specificity, a warning against lenient scoring of SOEs (on the MMSE and other screening tools) during medical education and in clinical practice is warranted.
MeSH term(s)	Humans ; Aged ; Middle Aged ; Orientation, Spatial ; Sensitivity and Specificity ; Empathy ; Cognitive Dysfunction/diagnosis ; Neuropsychological Tests
Language	English
Publishing date	2024-01-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	1002700-2
ISSN	1546-4156 ; 0893-0341
ISSN (online)	1546-4156
ISSN	0893-0341
DOI	10.1097/WAD.0000000000000609
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Article ; Online: Anti-SARS-CoV-2 Monoclonal Antibodies in Pediatrics: Statewide Experience in Rhode Island.

Ibrahim, Osama / McCormick, Winston / Ferlisi, Kristen / Baker, Shannon / Lulla, Rishi / Koster, Michael

Rhode Island medical journal (2013)

2023 Volume 106, Issue 7, Page(s) 31–36

Abstract: Background: The pediatric population has suffered COVID-19 infections with measurable morbidity and mortality. Without oral options in those less than 12 years of age, practical treatment in this rapidly evolving disease is necessary. One treatment ... ...

Abstract	Background: The pediatric population has suffered COVID-19 infections with measurable morbidity and mortality. Without oral options in those less than 12 years of age, practical treatment in this rapidly evolving disease is necessary. One treatment modality is monoclonal antibodies. Limited information describes the efficacy and safety of anti-SARS-CoV-2 monoclonal antibodies in pediatrics. This is the largest case series addressing efficacy and safety of monoclonal antibodies in this population. Objective: To report patient characteristics, side effects encountered, and hospital admissions or emergency department visits within 30 days following treatment. Design: This retrospective case series includes high-risk pediatric COVID-19 patients who received monoclonal antibody infusions in a tertiary care center as outpatients between January 2021 and January 2022. Outcomes: There were 108 patients included with seven patients (6.5%) having infusion-related reactions with no other adverse events reported. Following the monoclonal treatment, three patients presented to the emergency department for worsening symptoms, and one patient was admitted to the pediatric ICU for worsening respiratory status. No other admissions or emergency department visits were reported in the one month following the infusion. Conclusions: In this case series study, monoclonal antibody infusions were well tolerated.
MeSH term(s)	Humans ; Child ; COVID-19 ; Rhode Island ; Retrospective Studies ; Outpatients ; Antibodies, Monoclonal/therapeutic use ; Antibodies, Viral
Chemical Substances	Antibodies, Monoclonal ; Antibodies, Viral
Language	English
Publishing date	2023-08-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	419430-5
ISSN	2327-2228 ; 0363-7913
ISSN (online)	2327-2228
ISSN	0363-7913
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Article ; Online: Replicating a Meta-Analysis: The Search for the Optimal Word Choice Test Cutoff Continues.

Tyson, Bradley T / Shahein, Ayman / Abeare, Christopher A / Baker, Shannon D / Kent, Katrina / Roth, Robert M / Erdodi, Laszlo A

Assessment

2023 Volume 30, Issue 8, Page(s) 2476–2490

Abstract: This study was designed to expand on a recent meta-analysis that identified ≤42 as the optimal cutoff on the Word Choice Test (WCT). We examined the base rate of failure and the classification accuracy of various WCT cutoffs in four independent clinical ... ...

Abstract	This study was designed to expand on a recent meta-analysis that identified ≤42 as the optimal cutoff on the Word Choice Test (WCT). We examined the base rate of failure and the classification accuracy of various WCT cutoffs in four independent clinical samples (
MeSH term(s)	Humans ; Neuropsychological Tests ; Sensitivity and Specificity ; Psychometrics ; Reproducibility of Results
Language	English
Publishing date	2023-02-08
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1362144-0
ISSN	1552-3489 ; 1073-1911
ISSN (online)	1552-3489
ISSN	1073-1911
DOI	10.1177/10731911221147043
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Book: Tainted mountain

Baker, Shannon

a Nora Abbott mystery

2013

Author's details	Shannon Baker
Keywords	Businesswomen ; Environmentalists ; Murder/Investigation ; Native Americans ; Ski resorts ; Arizona
Language	English
Size	X, 345 S, 21 cm
Publisher	Midnight Ink
Publishing place	Woodbury, Minn
Document type	Book
ISBN	9780738734224 ; 0738734225
Database	Former special subject collection: coastal and deep sea fishing

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Article ; Online: Genomic, Phenotypic, and Virulence Analysis of

Baker, Shannon P / Nulton, Tara J / Kitten, Todd

Infection and immunity

2018 Volume 87, Issue 1

Abstract: Streptococcus ... ...

Abstract	Streptococcus sanguinis
MeSH term(s)	Animals ; Blood/microbiology ; Carrier State/microbiology ; Disease Models, Animal ; Endocarditis/microbiology ; Genetic Variation ; Genomics ; Humans ; Mouth/microbiology ; Phylogeny ; Rabbits ; Sequence Analysis, DNA ; Streptococcal Infections/microbiology ; Streptococcus sanguis/classification ; Streptococcus sanguis/genetics ; Streptococcus sanguis/isolation & purification ; Streptococcus sanguis/physiology ; Virulence ; Virulence Factors/genetics
Chemical Substances	Virulence Factors
Language	English
Publishing date	2018-12-19
Publishing country	United States
Document type	Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	218698-6
ISSN	1098-5522 ; 0019-9567
ISSN (online)	1098-5522
ISSN	0019-9567
DOI	10.1128/IAI.00703-18
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Article: Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping

Bhandari, Mahendra / Baker, Shannon / Rudd, Jackie C / Ibrahim, Amir M. H / Chang, Anjin / Xue, Qingwu / Jung, Jinha / Landivar, Juan / Auvermann, Brent

Remote Sensing. 2021 Mar. 17, v. 13, no. 6

2021

Abstract: Drought significantly limits wheat productivity across the temporal and spatial domains. Unmanned Aerial Systems (UAS) has become an indispensable tool to collect refined spatial and high temporal resolution imagery data. A 2-year field study was ... ...

Abstract	Drought significantly limits wheat productivity across the temporal and spatial domains. Unmanned Aerial Systems (UAS) has become an indispensable tool to collect refined spatial and high temporal resolution imagery data. A 2-year field study was conducted in 2018 and 2019 to determine the temporal effects of drought on canopy growth of winter wheat. Weekly UAS data were collected using red, green, and blue (RGB) and multispectral (MS) sensors over a yield trial consisting of 22 winter wheat cultivars in both irrigated and dryland environments. Raw-images were processed to compute canopy features such as canopy cover (CC) and canopy height (CH), and vegetation indices (VIs) such as Normalized Difference Vegetation Index (NDVI), Excess Green Index (ExG), and Normalized Difference Red-edge Index (NDRE). The drought was more severe in 2018 than in 2019 and the effects of growth differences across years and irrigation levels were visible in the UAS measurements. CC, CH, and VIs, measured during grain filling, were positively correlated with grain yield (r = 0.4–0.7, p < 0.05) in the dryland in both years. Yield was positively correlated with VIs in 2018 (r = 0.45–0.55, p < 0.05) in the irrigated environment, but the correlations were non-significant in 2019 (r = 0.1 to −0.4), except for CH. The study shows that high-throughput UAS data can be used to monitor the drought effects on wheat growth and productivity across the temporal and spatial domains.
Keywords	arid lands ; canopy ; canopy height ; cultivars ; drought ; grain yield ; normalized difference vegetation index ; phenotype ; vegetation ; winter wheat
Language	English
Dates of publication	2021-0317
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13061144
Database	NAL-Catalogue (AGRICOLA)

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Article: Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment

Thapa, Sushil / Rudd, Jackie C / Xue, Qingwu / Bhandari, Mahendra / Reddy, Srirama K / Jessup, Kirk E / Liu, Shuyu / Devkota, Ravindra N / Baker, Jason / Baker, Shannon

Journal of crop improvement. 2019 Sept. 3, v. 33, no. 5

2019

Abstract: The normalized difference vegetation index (NDVI) has been widely used to quantify vegetation by measuring the difference between near-infrared (NIR) and red light. Measuring NDVI throughout a growing season helps to evaluate the effect of continuous ... ...

Abstract	The normalized difference vegetation index (NDVI) has been widely used to quantify vegetation by measuring the difference between near-infrared (NIR) and red light. Measuring NDVI throughout a growing season helps to evaluate the effect of continuous phenological and morphological changes on grain yield. A 2-year field study was conducted to characterize plant response to water stress in 20 winter wheat (Triticum aestium L.) genotypes during the season based on their NDVI values under the dryland and irrigated conditions. In addition, final biomass and yield were measured at maturity. The 2018 season was extremely dry with only 23 mm of precipitation, whereas 2016 was more favorable for wheat production with 315 mm seasonal precipitation. Except in a severe drought condition (2018, dryland), NDVI values increased from early spring to mid-season (anthesis) and decreased from mid-season to physiological maturity, indicating gradual leaf senescence. There was a significant (P = 0.05) positive correlation between NDVI and grain yield, especially for NDVI values after jointing. However, under the severe drought condition of 2018 (dryland), NDVI often did not show a strong relationship with grain yield. Even genotypes with higher NDVI at early growth stages ended up with lower yield because of the severe water stress at later growth stages. Hence, the use of NDVI is not suggested in screening genotypes for yield under extreme weather conditions.
Keywords	Triticum ; arid lands ; biomass ; drought ; flowering ; grain yield ; irrigation ; leaves ; normalized difference vegetation index ; phenology ; plant response ; red light ; semiarid zones ; spring ; vegetation ; water stress ; winter wheat
Language	English
Dates of publication	2019-0903
Size	p. 633-648.
Publishing place	Taylor & Francis
Document type	Article
ZDB-ID	2163790-8
ISSN	1542-7536 ; 1542-7528
ISSN (online)	1542-7536
ISSN	1542-7528
DOI	10.1080/15427528.2019.1648348
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Differentiating epilepsy from psychogenic nonepileptic seizures using neuropsychological test data.

Tyson, Brad T / Baker, Shannon / Greenacre, Matthew / Kent, Katrina J / Lichtenstein, Jonathan D / Sabelli, Alana / Erdodi, Laszlo A

Epilepsy & behavior : E&B

2018 Volume 87, Page(s) 39–45

Abstract: Objective: Differentiating epileptic seizures (ES) from psychogenic nonepileptic seizures (PNES) represents a challenging differential diagnosis with important treatment implications. This study was designed to explore the utility of neuropsychological ... ...

Abstract	Objective: Differentiating epileptic seizures (ES) from psychogenic nonepileptic seizures (PNES) represents a challenging differential diagnosis with important treatment implications. This study was designed to explore the utility of neuropsychological test scores in differentiating ES from PNES. Method: Psychometric data from 72 patients with ES and 33 patients with PNES were compared on various tests of cognitive ability and performance validity. Individual measures that best discriminated the diagnoses were then entered as predictors in a logistic regression equation with group membership (ES vs. PNES) as the criterion. Results: On most tests of cognitive ability, the PNES sample outperformed the ES sample (medium-large effect) and was less likely to fail the Reliable Digit Span. However, patients with PNES failed two embedded validity indicators at significantly higher rates (risk ratios (RR): 2.45-4.16). There were no group differences on the Test of Memory Malingering (TOMM). A logistic regression equation based on seven neuropsychological tests correctly classified 85.1% of patients. The cutoff with perfect specificity was associated with 0.47 sensitivity. Conclusions: Consistent with previous research, the utility of psychometric methods of differential diagnosis is limited by the complex neurocognitive profiles associated with ES and PNES. Although individual measures might help differentiate ES from PNES, multivariate assessment models have superior discriminant power. The strongest psychometric evidence for PNES appears to be a consistent lack of impairment on tests sensitive to diffuse neurocognitive deficits such as processing speed, working memory, and verbal fluency. While video-electroencephalogram (EEG) monitoring is the gold standard of differential diagnosis, psychometric testing has the potential to enhance clinical decision-making, particularly in complex or unclear cases such as patients with nondiagnostic video-EEGs. Adopting a standardized, fixed neuropsychological battery at epilepsy centers would advance research on the differential diagnostic power of psychometric testing.
MeSH term(s)	Adult ; Diagnosis, Differential ; Epilepsy/diagnosis ; Female ; Humans ; Male ; Middle Aged ; Neuropsychological Tests/standards ; Reproducibility of Results ; Retrospective Studies ; Seizures/diagnosis ; Somatoform Disorders/diagnosis
Language	English
Publishing date	2018-08-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	2010587-3
ISSN	1525-5069 ; 1525-5050
ISSN (online)	1525-5069
ISSN	1525-5050
DOI	10.1016/j.yebeh.2018.08.010
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Article: A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding

Chu, Chenggen / Wang, Shichen / Rudd, Jackie C. / Ibrahim, Amir M. H. / Xue, Qingwu / Devkota, Ravindra N. / Baker, Jason A. / Baker, Shannon / Simoneaux, Bryan / Opena, Geraldine / Dong, Haixiao / Liu, Xiaoxiao / Jessup, Kirk E. / Chen, Ming-Shun / Hui, Kele / Metz, Richard / Johnson, Charles D. / Zhang, Zhiwu S. / Liu, Shuyu

Molecular breeding. 2022 Apr., v. 42, no. 4

2022

Abstract: Using imbalanced historical yield data to predict performance and select new lines is an arduous breeding task. Genome-wide association studies (GWAS) and high throughput genotyping based on sequencing techniques can increase prediction accuracy. An ... ...

Abstract	Using imbalanced historical yield data to predict performance and select new lines is an arduous breeding task. Genome-wide association studies (GWAS) and high throughput genotyping based on sequencing techniques can increase prediction accuracy. An association mapping panel of 227 Texas elite (TXE) wheat breeding lines was used for GWAS and a training population to develop prediction models for grain yield selection. An imbalanced set of yield data collected from 102 environments (year-by-location) over 10 years, through testing yield in 40–66 lines each year at 6–14 locations with 38–41 lines repeated in the test in any two consecutive years, was used. Based on correlations among data from different environments within two adjacent years and heritability estimated in each environment, yield data from 87 environments were selected and assigned to two correlation-based groups. The yield best linear unbiased estimation (BLUE) from each group, along with reaction to greenbug and Hessian fly in each line, was used for GWAS to reveal genomic regions associated with yield and insect resistance. A total of 74 genomic regions were associated with grain yield and two of them were commonly detected in both correlation-based groups. Greenbug resistance in TXE lines was mainly controlled by Gb3 on chromosome 7DL in addition to two novel regions on 3DL and 6DS, and Hessian fly resistance was conferred by the region on 1AS. Genomic prediction models developed in two correlation-based groups were validated using a set of 105 new advanced breeding lines and the model from correlation-based group G2 was more reliable for prediction. This research not only identified genomic regions associated with yield and insect resistance but also established the method of using historical imbalanced breeding data to develop a genomic prediction model for crop improvement.
Keywords	Mayetiola destructor ; Schizaphis graminum ; chromosomes ; genomics ; genotyping ; grain yield ; heritability ; insect resistance ; models ; prediction ; wheat ; Texas
Language	English
Dates of publication	2022-04
Size	p. 18.
Publishing place	Springer Netherlands
Document type	Article
ZDB-ID	1230924-2
ISSN	1572-9788 ; 1380-3743
ISSN (online)	1572-9788
ISSN	1380-3743
DOI	10.1007/s11032-022-01287-8
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding.

Chu, Chenggen / Wang, Shichen / Rudd, Jackie C / Ibrahim, Amir M H / Xue, Qingwu / Devkota, Ravindra N / Baker, Jason A / Baker, Shannon / Simoneaux, Bryan / Opena, Geraldine / Dong, Haixiao / Liu, Xiaoxiao / Jessup, Kirk E / Chen, Ming-Shun / Hui, Kele / Metz, Richard / Johnson, Charles D / Zhang, Zhiwu S / Liu, Shuyu

Molecular breeding : new strategies in plant improvement

2022 Volume 42, Issue 4, Page(s) 18

Abstract	Using imbalanced historical yield data to predict performance and select new lines is an arduous breeding task. Genome-wide association studies (GWAS) and high throughput genotyping based on sequencing techniques can increase prediction accuracy. An association mapping panel of 227 Texas elite (TXE) wheat breeding lines was used for GWAS and a training population to develop prediction models for grain yield selection. An imbalanced set of yield data collected from 102 environments (year-by-location) over 10 years, through testing yield in 40-66 lines each year at 6-14 locations with 38-41 lines repeated in the test in any two consecutive years, was used. Based on correlations among data from different environments within two adjacent years and heritability estimated in each environment, yield data from 87 environments were selected and assigned to two correlation-based groups. The yield best linear unbiased estimation (BLUE) from each group, along with reaction to greenbug and Hessian fly in each line, was used for GWAS to reveal genomic regions associated with yield and insect resistance. A total of 74 genomic regions were associated with grain yield and two of them were commonly detected in both correlation-based groups. Greenbug resistance in TXE lines was mainly controlled by Supplementary information: The online version contains supplementary material available at 10.1007/s11032-022-01287-8.
Language	English
Publishing date	2022-03-22
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1230924-2
ISSN	1572-9788 ; 1380-3743
ISSN (online)	1572-9788
ISSN	1380-3743
DOI	10.1007/s11032-022-01287-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

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