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Institution

University of Tennessee Health Science Center

EducationMemphis, Tennessee, United States
About: University of Tennessee Health Science Center is a education organization based out in Memphis, Tennessee, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 15716 authors who have published 26884 publications receiving 1176697 citations.
Topics: Population, Medicine, Transplantation, Cancer, Gene


Papers
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Journal ArticleDOI
TL;DR: Ondansetron given intravenously to prevent postoperative nausea and emesis was highly effective in the 4− and 8-mg doses in women having ambulatory gynecologic surgery.
Abstract: BACKGROUND:Postoperative nausea and emesis, especially in ambulatory surgical patients, remains a troublesome problem. This study was performed to compare the incidence of nausea and emesis during the 24-h postoperative period in ondansetron-treated patients versus placebo-treated patients. METHODS:Using a randomized prospective double-blind study design, women between the ages of 18 and 70 yr undergoing gynecologic surgical procedures with general opioid anesthesia on an outpatient basis were enrolled. Ondansetron or placebo was administered prior to induction of anesthesia. Patients were stratified according to history of nausea and emesis during previous exposure to general anesthesia and randomized to dose received. RESULTS:Data from the 544 women showed that all doses of intravenous ondansetron tested (1, 4, and 8 mg) were significantly more effective (62%, 76%, and 77%, respectively) than placebo (46%) in reducing the incidence of emesis following surgery until 24 h after recovery room entry. All these doses were more effective than placebo in patients with no prior history of emesis following surgery and the 4- and 8-mg doses were more effective than placebo in patients with a prior history of emesis following surgery. All doses of ondansetron tested were generally well tolerated with adverse events, clinical laboratory tests, and recovery room vital signs similar to those of placebo. Serum aspartate transaminase (AST) was increased in five patients (1 mg, 2 patients; 4 mg, 1 patient; 8 mg, 2 patients). In the three patients in whom subsequent analysis were performed, the serum AST had decreased to preoperative levels. CONCLUSIONS:Ondansetron given intravenously to prevent postoperative nausea and emesis was highly effective in the 4- and 8-mg doses in women having ambulatory gynecologic surgery.

254 citations

Journal ArticleDOI
TL;DR: To determine whether genetic polymorphisms of the β2‐adrenergic receptor gene affect the relationship between albuterol (INN, salbutamol) plasma concentrations and the forced expiratory volume in 1 second (FEV1) in subjects with moderate asthma, a genome-wide study is conducted.
Abstract: Objective To determine whether genetic polymorphisms of the β2-adrenergic receptor gene affect the relationship between albuterol (INN, salbutamol) plasma concentrations and the forced expiratory volume in 1 second (FEV1) in subjects with moderate asthma. Methods Sixteen clinically stable patients with moderate asthma who participated in a pharmacokinetic-pharmacodynamic study of albuterol volunteered to provide a blood sample for determination of β2-adrenergic receptor genotype. FEV1 and plasma concentrations of albuterol were determined at various times after administration of an oral solution that contained 8 mg albuterol. Patients withheld inhaled β2-agonist and corticosteroid therapy 12 and 24 hours, respectively, before the study. β2-Adrenergic receptor genotype was determined by polymerase chain reaction with allele-specific oligonucleotide hybridization. Results Albuterol-evoked FEV1 was higher and the response was more rapid in Arg16 homozygotes compared with the cohort of carriers of the Gly16 variant: Maximal percentage increase in FEV1 (%ΔFEV1), 18% versus 4.9% (P < .03); area under FEV1 albuterol concentration curve, 194%·mL/ng versus 30%·mL/ng (P < .05); initial slope (dE/dC), 1.43%·mL/ng versus 0.55%·mL/ng (P < .003). Conclusions The β2-adrenergic receptor gene polymorphism is a major determinant of bronchodilator response to albuterol. Future pharmacodynamic studies of β2-agonists should include determination of β2-adrenergic receptor genotype. Clinical Pharmacology & Therapeutics (1999) 65, 519–525; doi:

254 citations

Journal ArticleDOI
TL;DR: The association of motor performance was consistently greater for the DSST than the 3MS and, among the motor tests, gait speed retained a significant association with both cognitive measures independent of demographic, weight, physical activity and comorbid health conditions.
Abstract: Performance measures of physical function (gait speed, chair stands, standing balance) and cognitive function [Teng-modified Mini-Mental Status Exam (3MS) and digit symbol substitution test (DSST)] were assessed at baseline in 3,075 participants in the Health, Aging and Body Composition Study. Each physical function measure was examined for the strength and magnitude of association with cognitive function. All physical function measures were associated with both the 3MS and DSST scores (p < 0.001), and in multivariate analysis each relationship was independent of demographic characteristics, weight, physical activity and comorbid health conditions of participants. The association of motor performance was consistently greater for the DSST than the 3MS and, among the motor tests, gait speed retained a significant association with both cognitive measures independent of demographic, weight, physical activity and comorbid health conditions. In this large cohort of high-functioning older adults, the correlation between physical and cognitive function was not entirely explained by demographics. Longitudinal studies are needed to determine the direction of causality in this relationship.

254 citations

Journal ArticleDOI
TL;DR: In this paper, a study was conducted to determine if weekly antenatal corticosteroids improve neonatal outcome without undue harm, which was terminated by the independent data and safety monitoring committee with 495 of the anticipated 2400 patients enrolled.

254 citations

Journal ArticleDOI
07 Jun 2019
TL;DR: In this article, a deep learning system was developed using 112 million pathologist-annotated image patches from 1226 slides, and evaluated on an independent validation dataset of 331 slides.
Abstract: For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective microscopic examination of tumor morphology and suffers from poor reproducibility. Here we present a deep learning system (DLS) for Gleason scoring whole-slide images of prostatectomies. Our system was developed using 112 million pathologist-annotated image patches from 1226 slides, and evaluated on an independent validation dataset of 331 slides. Compared to a reference standard provided by genitourinary pathology experts, the mean accuracy among 29 general pathologists was 0.61 on the validation set. The DLS achieved a significantly higher diagnostic accuracy of 0.70 (p = 0.002) and trended towards better patient risk stratification in correlations to clinical follow-up data. Our approach could improve the accuracy of Gleason scoring and subsequent therapy decisions, particularly where specialist expertise is unavailable. The DLS also goes beyond the current Gleason system to more finely characterize and quantitate tumor morphology, providing opportunities for refinement of the Gleason system itself.

253 citations


Authors

Showing all 15827 results

NameH-indexPapersCitations
George P. Chrousos1691612120752
Steven N. Blair165879132929
Bruce L. Miller1631153115975
Ralph A. DeFronzo160759132993
Frank J. Gonzalez160114496971
Robert G. Webster15884390776
Anne B. Newman15090299255
Ching-Hon Pui14580572146
Barton F. Haynes14491179014
Yoshihiro Kawaoka13988375087
Seth M. Steinberg13793680148
Richard J. Johnson13788072201
Kristine Yaffe13679472250
Leslie L. Robison13185464373
Gerardo Heiss12862369393
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202338
2022195
20211,699
20201,503
20191,401
20181,292