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Kumar G P, Panda R, Sharma K, Adarsh A, Annen J, Martial C, Faymonville ME, Laureys S, Sombrun C, Ganesan RA, Vanhaudenhuyse A, Gosseries O. Changes in high-order interaction measures of synergy and redundancy during non-ordinary states of consciousness induced by meditation, hypnosis, and auto-induced cognitive trance. Neuroimage 2024; 293:120623. [PMID: 38670442 DOI: 10.1016/j.neuroimage.2024.120623] [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] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/08/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024] Open
Abstract
High-order interactions are required across brain regions to accomplish specific cognitive functions. These functional interdependencies are reflected by synergistic information that can be obtained by combining the information from all the sources considered and redundant information (i.e., common information provided by all the sources). However, electroencephalogram (EEG) functional connectivity is limited to pairwise interactions thereby precluding the estimation of high-order interactions. In this multicentric study, we used measures of synergistic and redundant information to study in parallel the high-order interactions between five EEG electrodes during three non-ordinary states of consciousness (NSCs): Rajyoga meditation (RM), hypnosis, and auto-induced cognitive trance (AICT). We analyzed EEG data from 22 long-term Rajyoga meditators, nine volunteers undergoing hypnosis, and 21 practitioners of AICT. We here report the within-group changes in synergy and redundancy for each NSC in comparison with their respective baseline. During RM, synergy increased at the whole brain level in the delta and theta bands. Redundancy decreased in frontal, right central, and posterior electrodes in delta, and frontal, central, and posterior electrodes in beta1 and beta2 bands. During hypnosis, synergy decreased in mid-frontal, temporal, and mid-centro-parietal electrodes in the delta band. The decrease was also observed in the beta2 band in the left frontal and right parietal electrodes. During AICT, synergy decreased in delta and theta bands in left-frontal, right-frontocentral, and posterior electrodes. The decrease was also observed at the whole brain level in the alpha band. However, redundancy changes during hypnosis and AICT were not significant. The subjective reports of absorption and dissociation during hypnosis and AICT, as well as the mystical experience questionnaires during AICT, showed no correlation with the high-order measures. The proposed study is the first exploratory attempt to utilize the concepts of synergy and redundancy in NSCs. The differences in synergy and redundancy during different NSCs warrant further studies to relate the extracted measures with the phenomenology of the NSCs.
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Affiliation(s)
- Pradeep Kumar G
- MILE Lab, Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India
| | - Rajanikant Panda
- Coma Science Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Sensation & Perception Research Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Kanishka Sharma
- MILE Lab, Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India
| | - A Adarsh
- MILE Lab, Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India
| | - Jitka Annen
- Coma Science Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Charlotte Martial
- Coma Science Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Marie-Elisabeth Faymonville
- Sensation & Perception Research Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Arsene Bruny Integrated Oncological Center, University Hospital of Liege, Liege, Belgium
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | | | - Ramakrishnan Angarai Ganesan
- MILE Lab, Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India; Centre for Neuroscience, Indian Institute of Science, Bengaluru, India
| | - Audrey Vanhaudenhuyse
- Sensation & Perception Research Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Algology Interdisciplinary Center, University Hospital of Liege, Liege, Belgium
| | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Sensation & Perception Research Group, GIGA-Consciousness, University of Liege, Liege, Belgium; Centre du Cerveau, University Hospital of Liege, Liege, Belgium.
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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Ryder M, Sabarai A, Saccà C, Sachson R, Sadler E, Safiee NS, Sahani M, Saillant A, Saini J, Saito C, Saito S, Sakaguchi K, Sakai M, Salim H, Salviani C, Sammons E, Sampson A, Samson F, Sandercock P, Sanguila S, Santorelli G, Santoro D, Sarabu N, Saram T, Sardell R, Sasajima H, Sasaki T, Satko S, Sato A, Sato D, Sato H, Sato H, Sato J, Sato T, Sato Y, Satoh M, Sawada K, Schanz M, Scheidemantel F, Schemmelmann M, Schettler E, Schettler V, Schlieper GR, Schmidt C, Schmidt G, Schmidt U, Schmidt-Gurtler H, Schmude M, Schneider A, Schneider I, Schneider-Danwitz C, Schomig M, Schramm T, Schreiber A, Schricker S, Schroppel B, Schulte-Kemna L, Schulz E, Schumacher B, Schuster A, Schwab A, Scolari F, Scott A, Seeger W, Seeger W, Segal M, Seifert L, Seifert M, Sekiya M, Sellars R, Seman MR, Shah S, Shah S, Shainberg L, Shanmuganathan M, Shao F, Sharma K, Sharpe C, Sheikh-Ali M, Sheldon J, Shenton C, Shepherd A, Shepperd M, Sheridan R, Sheriff Z, Shibata Y, Shigehara T, Shikata K, Shimamura K, Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Miller HE, Montemayor D, Levy S, Sharma K, Frost B, Bishop AJR. RLSuite: An Integrative R-Loop Bioinformatics Framework. J Bioinform Syst Biol 2023; 6:364-378. [PMID: 38292828 PMCID: PMC10827345 DOI: 10.26502/jbsb.5107071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
We recently described the development of a database of 810 R-loop mapping datasets and used this data to conduct a meta-analysis of R-loops. R-loops are three-stranded nucleic acid structures containing RNA:DNA hybrids and we were able to verify that 30% of expressed genes have an associated R-loop in a location conserved manner.. Moreover, intergenic R-loops map to enhancers, super enhancers and with TAD domain boundaries. This work demonstrated that R-loop mapping via high-throughput sequencing can reveal novel insight into R-loop biology, however the analysis and quality control of these data is a non-trivial task for which few bioinformatic tools exist. Herein we describe RLSuite, an integrative R-loop bioinformatics framework for pre-processing, quality control, and downstream analysis of R-loop mapping data. RLSuite enables users to compare their data to hundreds of public datasets and generate a user-friendly analysis report for sharing with non-bioinformatician colleagues. Taken together, RLSuite is a novel analysis framework that should greatly benefit the emerging R-loop bioinformatics community in a rapidly expanding aspect of epigenetic control that is still poorly understood.
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Affiliation(s)
- H E Miller
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX, USA
- Greehey Children's Cancer Research Institute, UT Health San Antonio, San Antonio, TX, USA
- Bioinformatics Research Network, Atlanta, GA, USA
| | - D Montemayor
- Department of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Center for Precision Medicine, UT Health San Antonio, San Antonio, TX, USA
| | - S Levy
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX, USA
- Bioinformatics Research Network, Atlanta, GA, USA
- Sam & Ann Barshop Institute for Longevity & Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - K Sharma
- Department of Medicine, UT Health San Antonio, San Antonio, TX, USA
- Center for Precision Medicine, UT Health San Antonio, San Antonio, TX, USA
| | - B Frost
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX, USA
- Sam & Ann Barshop Institute for Longevity & Aging Studies, UT Health San Antonio, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - A J R Bishop
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX, USA
- Greehey Children's Cancer Research Institute, UT Health San Antonio, San Antonio, TX, USA
- May's Cancer Center, UT Health San Antonio, San Antonio, TX, USA
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Alhummiany B, Sharma K, Buckley DL, Soe KK, Sourbron SP. Physiological confounders of renal blood flow measurement. MAGMA 2023:10.1007/s10334-023-01126-7. [PMID: 37971557 DOI: 10.1007/s10334-023-01126-7] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/26/2023] [Accepted: 10/12/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Renal blood flow (RBF) is controlled by a number of physiological factors that can contribute to the variability of its measurement. The purpose of this review is to assess the changes in RBF in response to a wide range of physiological confounders and derive practical recommendations on patient preparation and interpretation of RBF measurements with MRI. METHODS A comprehensive search was conducted to include articles reporting on physiological variations of renal perfusion, blood and/or plasma flow in healthy humans. RESULTS A total of 24 potential confounders were identified from the literature search and categorized into non-modifiable and modifiable factors. The non-modifiable factors include variables related to the demographics of a population (e.g. age, sex, and race) which cannot be manipulated but should be considered when interpreting RBF values between subjects. The modifiable factors include different activities (e.g. food/fluid intake, exercise training and medication use) that can be standardized in the study design. For each of the modifiable factors, evidence-based recommendations are provided to control for them in an RBF-measurement. CONCLUSION Future studies aiming to measure RBF are encouraged to follow a rigorous study design, that takes into account these recommendations for controlling the factors that can influence RBF results.
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Affiliation(s)
- Bashair Alhummiany
- Department of Biomedical Imaging Sciences, University of Leeds, Leeds, LS2 9NL, UK.
| | - Kanishka Sharma
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - David L Buckley
- Department of Biomedical Imaging Sciences, University of Leeds, Leeds, LS2 9NL, UK
| | - Kywe Kywe Soe
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Steven P Sourbron
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
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Ranjan R, Sharma K, Kumar M, Swain DK, Singh SP, Kharche SD, Singh MK, Chauhan MS. IGF-1 stabilizes goat sperm mitochondrial transmembrane potential and reduces dna fragmentation. Cryo Letters 2023; 44:327-332. [PMID: 38311926] [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] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
BACKGROUND Antioxidant present in sperm cells protects them from oxidative damage. However, sperm are more susceptible to peroxidative damages due to the loss of these enzymes during cryopreservation and their survival and fertility may be compromised. Insulin like growth factor-1 (IGF-1) has an antioxidant effect and could maintain sperm motility. OBJECTIVE To improve seminal parameters, mitochondrial membrane potential (MMP), oxidative status and DNA integrity of buck semen after freeze-thawing by fortification of goat semen diluent with various concentrations of IGF-1. MATERIALS AND METHODS Fifty ejaculates were collected and were extended with tris- citric acid- fructose diluent with 10% egg yolk and 6% glycerol with sperm concentrations of 1×108 mL-1. Post-cryopreserved sperm were assessed for motility and a range of other functional parameters. RESULTS In post-thaw semen sperm motility, live sperm count, acrosome integrity, hypo-osmotic swelling positive spermatozoa, malondialdehyde (MDA), protein carbonyl content (PCC), TUNEL positive sperm differed significantly (P<0.05) with the various concentrations of IGF-1 used. Sperm functional parameters post-thawing were significantly (P<0.05) better in 250 ng/mL IGF-1. IGF-1 protects against lipid peroxidation by lowering MDA and PCC production, thus reducing the harmful effect of reactive oxygen species. The kidding percentage using the artificial insemination technique was significantly higher ( i.e., 40%) in the group supplemented with 250 ng/mL of IGF-1 than in the non-supplemented group (i.e., 30%). CONCLUSION IGF-1 may be used to improve post-thaw semen quality and fertility as measured by actual kidding rate. Doi.org/10.54680/fr23610110312.
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Affiliation(s)
- R Ranjan
- Indian Council of Agricultural Research (ICAR), Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh (U.P.), India.
| | - K Sharma
- Indian Council of Agricultural Research (ICAR), Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh (U.P.), India
| | - M Kumar
- Indian Council of Agricultural Research (ICAR), Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh (U.P.), India
| | - D K Swain
- Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go-Anusandhan Sansthan (DUVASU), Mathura, U.P. India
| | - S P Singh
- Indian Council of Agricultural Research (ICAR), Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh (U.P.), India
| | - S D Kharche
- Indian Council of Agricultural Research (ICAR), Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh (U.P.), India
| | - M K Singh
- Indian Council of Agricultural Research (ICAR), Central Institute for Research on Goats, Makhdoom, Farah, Mathura, Uttar Pradesh (U.P.), India
| | - M S Chauhan
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
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Sharma K, Wang S, Liu Y, Zhang Y, Liu T, Zhang Q, Zhong Q. Cardio-oncology in China. Curr Treat Options Oncol 2023; 24:1472-1488. [PMID: 37566213 DOI: 10.1007/s11864-023-01123-x] [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] [Subscribe] [Scholar Register] [Accepted: 07/10/2023] [Indexed: 08/12/2023]
Abstract
OPINION STATEMENT Cardio-oncology is going under rapid development in various areas across an increasing number of provinces in China. However there are still a myriad of challenges that need to be overcome in order to ensure its gradual and consistent expansion. The Cardio-Oncology Knowledge Transfer Model (KTM) forms the basis to allow exponential development of effective cardio-oncology services. This would ensure the implementation of precision-based practice while dynamically evolving cardio-oncology to integrate both Western and Chinese medical practices to become an official clinical sub-speciality in its own right in China, for the ultimate benefit of the patient.
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Affiliation(s)
- K Sharma
- CardioOncology (Official Cardio-Oncology Organization in China), 201, Floor 2, Building B, The Rainbow Centre, Hongqiao, Hechuan Road 3051, Minhang District, Shanghai, 201100, China.
| | - Shanshan Wang
- CardioOncology (Official Cardio-Oncology Organization in China), 201, Floor 2, Building B, The Rainbow Centre, Hongqiao, Hechuan Road 3051, Minhang District, Shanghai, 201100, China
| | - Ying Liu
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 193 United Road, Dalian, 116021, Liaoning Province, China
| | - Yangli Zhang
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 193 United Road, Dalian, 116021, Liaoning Province, China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, No. 23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Qingling Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, No. 23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Qiaoqing Zhong
- Department of Anesthesia, Critical Care & Pain Medicine Department, Beth Israel Deaconess Medical Center, Harvard Medical School, MA, 02215, Boston, USA
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, 410008, Changsha, China
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Caroli A, Villa G, Brambilla P, Trillini M, Sharma K, Sironi S, Remuzzi G, Perico N, Remuzzi A. Diffusion magnetic resonance imaging for kidney cyst volume quantification and non-cystic tissue characterisation in ADPKD. Eur Radiol 2023; 33:6009-6019. [PMID: 37017703 DOI: 10.1007/s00330-023-09601-4] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/27/2023] [Accepted: 03/03/2023] [Indexed: 04/06/2023]
Abstract
OBJECTIVES Beyond total kidney and cyst volume (TCV), non-cystic tissue plays an important role in autosomal dominant polycystic kidney disease (ADPKD) progression. This study aims at presenting and preliminarily validating a diffusion MRI (DWI)-based TCV quantification method and providing evidence of DWI potential in characterising non-cystic tissue microstructure. METHODS T2-weighted MRI and DWI scans (b = 0, 15, 50, 100, 200, 350, 500, 700, 1000; 3 directions) were acquired from 35 ADPKD patients with CKD stage 1 to 3a and 15 healthy volunteers on a 1.5 T scanner. ADPKD classification was performed using the Mayo model. DWI scans were processed by mono- and segmented bi-exponential models. TCV was quantified on T2-weighted MRI by the reference semi-automatic method and automatically computed by thresholding the pure diffusivity (D) histogram. The agreement between reference and DWI-based TCV values and the differences in DWI-based parameters between healthy and ADPKD tissue components were assessed. RESULTS There was strong correlation between DWI-based and reference TCV (rho = 0.994, p < 0.001). Non-cystic ADPKD tissue had significantly higher D, and lower pseudo-diffusion and flowing fraction than healthy tissue (p < 0.001). Moreover, apparent diffusion coefficient and D values significantly differed by Mayo imaging class, both in the whole kidney (Wilcoxon p = 0.007 and p = 0.004) and non-cystic tissue (p = 0.024 and p = 0.007). CONCLUSIONS DWI shows potential in ADPKD to quantify TCV and characterise non-cystic kidney tissue microstructure, indicating the presence of microcysts and peritubular interstitial fibrosis. DWI could complement existing biomarkers for non-invasively staging, monitoring, and predicting ADPKD progression and evaluating the impact of novel therapies, possibly targeting damaged non-cystic tissue besides cyst expansion. CLINICAL RELEVANCE STATEMENT This study shows diffusion-weighted MRI (DWI) potential to quantify total cyst volume and characterise non-cystic kidney tissue microstructure in ADPKD. DWI could complement existing biomarkers for non-invasively staging, monitoring, and predicting ADPKD progression and evaluating the impact of novel therapies, possibly targeting damaged non-cystic tissue besides cyst expansion. KEY POINTS • Diffusion magnetic resonance imaging shows potential to quantify total cyst volume in ADPKD. • Diffusion magnetic resonance imaging might allow to non-invasively characterise non-cystic kidney tissue microstructure. • Diffusion magnetic resonance imaging-based biomarkers significantly differ by Mayo imaging class, suggesting their possible prognostic value.
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Affiliation(s)
- Anna Caroli
- Clinical Research Center for Rare Diseases "Aldo & Cele Daccò", Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Bergamo, Ranica, Italy.
| | - Giulia Villa
- Clinical Research Center for Rare Diseases "Aldo & Cele Daccò", Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Bergamo, Ranica, Italy
| | - Paolo Brambilla
- Department of Diagnostic Radiology, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
| | - Matias Trillini
- Clinical Research Center for Rare Diseases "Aldo & Cele Daccò", Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Bergamo, Ranica, Italy
| | - Kanishka Sharma
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Sandro Sironi
- Department of Diagnostic Radiology, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
- School of Medicine, University of Milano-Bicocca, Milan, Italy
| | - Giuseppe Remuzzi
- Clinical Research Center for Rare Diseases "Aldo & Cele Daccò", Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Bergamo, Ranica, Italy
| | - Norberto Perico
- Clinical Research Center for Rare Diseases "Aldo & Cele Daccò", Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Bergamo, Ranica, Italy
| | - Andrea Remuzzi
- Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, BG, Italy
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9
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Malathi H, Dhananjoy L, Tarekar A, Sharma K, Mewara D, Patel J D. NEUROPLASTICITY AND BRAIN STIMULATION: DEVELOPING INTERVENTIONS TO PROMOTE RECOVERY FROM STROKE AND TRAUMATIC BRAIN INJURY. Georgian Med News 2023:101-107. [PMID: 37991963] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
This article's purpose is to explore how "non-invasive brain stimulation" (NBS) can be used to treat "traumatic brain injury" (TBI) and promote neuroplasticity. Along with the pathophysiological processes that occur after a TBI, "transcranial direct current stimulation" (tDCS) and "transcranial magnetic stimulation" (TMS) are described. These processes are based on a study of the relevant literature. Individualized treatment plans are required because the pathophysiological processes that result from TBI change over time. Given their neurophysiological effects, TMS and tDCS may be used to (a) significant suppression of post-traumatic cerebral hyper excitability; (b) control synaptic plasticity over the long run to prevent unfavorable outcomes; and (c) in addition to other forms of treatment such as physical and behavioral, assist some neural networks to reorganize and consolidate their learning. These treatments have the potential to reduce the disabling symptoms of brain injury.Animal and human research show that NBS may help reduce the severity of injuries and increase plastic changes in lesioned brain tissue, both of which are necessary for the successful acquisition of new knowledge and the restoration of lost functions. However, at present, this evidence is mostly speculative. The relevance of NBS in TBI, further elucidating its therapeutic benefits, and defining appropriate stimulation levels all need investigations in TBI patients due to safety concerns.
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Affiliation(s)
- H Malathi
- 1Department of Life Science, School of Sciences, JAIN (Deemed-to-be University), Karnataka, India
| | - L Dhananjoy
- 2Department of Allied Health Science, IIMT University, Meerut, Uttar Pradesh, India
| | - A Tarekar
- 3Department of Ayurveda, Sanskriti University, Mathura, Uttar Pradesh, India
| | - K Sharma
- 4College of Pharmacy, TeerthankerMahaveer University, Moradabad, Uttar Pradesh, India
| | - D Mewara
- 5Department of General Surgery, Jaipur National University, Jaipur, India
| | - D Patel J
- 6Department of Pharmacology, Parul University, PO Limda, Tal.Waghodia, District Vadodara, Gujarat, India
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10
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Päivärinta J, Anastasiou IA, Koivuviita N, Sharma K, Nuutila P, Ferrannini E, Solini A, Rebelos E. Renal Perfusion, Oxygenation and Metabolism: The Role of Imaging. J Clin Med 2023; 12:5141. [PMID: 37568543 PMCID: PMC10420088 DOI: 10.3390/jcm12155141] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 08/02/2023] [Accepted: 08/03/2023] [Indexed: 08/13/2023] Open
Abstract
Thanks to technical advances in the field of medical imaging, it is now possible to study key features of renal anatomy and physiology, but so far poorly explored due to the inherent difficulties in studying both the metabolism and vasculature of the human kidney. In this narrative review, we provide an overview of recent research findings on renal perfusion, oxygenation, and substrate uptake. Most studies evaluating renal perfusion with positron emission tomography (PET) have been performed in healthy controls, and specific target populations like obese individuals or patients with renovascular disease and chronic kidney disease (CKD) have rarely been assessed. Functional magnetic resonance (fMRI) has also been used to study renal perfusion in CKD patients, and recent studies have addressed the kidney hemodynamic effects of therapeutic agents such as glucagon-like receptor agonists (GLP-1RA) and sodium-glucose co-transporter 2 inhibitors (SGLT2-i) in an attempt to characterise the mechanisms leading to their nephroprotective effects. The few available studies on renal substrate uptake are discussed. In the near future, these imaging modalities will hopefully become widely available with researchers more acquainted with them, gaining insights into the complex renal pathophysiology in acute and chronic diseases.
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Affiliation(s)
- Johanna Päivärinta
- Department of Medicine, Division of Nephrology, Turku University Hospital, 20521 Turku, Finland; (J.P.); (N.K.)
| | - Ioanna A. Anastasiou
- 1st Department of Propaedeutic and Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 11527 Athens, Greece;
| | - Niina Koivuviita
- Department of Medicine, Division of Nephrology, Turku University Hospital, 20521 Turku, Finland; (J.P.); (N.K.)
| | - Kanishka Sharma
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield S10 2TN, UK;
| | - Pirjo Nuutila
- Turku PET Centre, 20521 Turku, Finland;
- Department of Endocrinology, Turku University Hospital, 20521 Turku, Finland
| | - Ele Ferrannini
- CNR, Institute of Clinical Physiology, 56124 Pisa, Italy;
| | - Anna Solini
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, 56124 Pisa, Italy;
| | - Eleni Rebelos
- Turku PET Centre, 20521 Turku, Finland;
- Department of Clinical and Experimental Medicine, University of Pisa, 56124 Pisa, Italy
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11
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Patel J D, Vikal A, Kumar V, Ahmad A, Sharma K, Asha K. THE MICROBIOME AND METABOLIC DISORDERS: THE LINK BETWEEN THE GUT MICROBIOTA AND METABOLIC SYNDROME. Georgian Med News 2023:153-158. [PMID: 37805890] [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] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Abstract
The diverse population of microbes that live in our digestive system, known as the gut microbiota, remains essential for many physiological processes. It plays a role in obtaining energy from food and controls both regional and overall immunity. In addition, changes in the microbiota of the digestive tract are connected to the emergence of an extensive variety of illnesses, such as cancer, gastrointestinal problems, and metabolic disorders. From a metabolic perspective, the gut microbiota can affect processes like lipid accumulation, lipopolysaccharide satisfied, and short-chain fatty acid synthesis, all of which have an effect on food intake, inflammatory reactions, and insulin signaling. Prebiotics, probiotics, specialized anti-diabetic medications, and faecalmicrobiota implantation are a few of the ways that have been discovered to alter the gut microbiota; each has a different influence the human body's metabolism and the emergence of metabolic disorders. These therapies have been reported to be therapeutic strategies for enhancing general wellness and reestablishing a balanced gut flora.
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Affiliation(s)
- D Patel J
- 1Department of Pharmacology, Parul University, PO Limda, Tal. Waghodia, District Vadodara, Gujarat, India
| | - A Vikal
- 2Department of Allied Health Science, IIMT University, Meerut, Uttar Pradesh, India
| | - V Kumar
- 3Department of Ayurveda, Sanskriti University, Mathura, Uttar Pradesh, India
| | - A Ahmad
- 4Department of Allied Healthcare & Sciences, Vivekananda Global University, Jaipur, India
| | - K Sharma
- 5College of Pharmacy, TeerthankerMahaveer University, Moradabad, Uttar Pradesh, India
| | - K Asha
- 6Department of Life Science, School of Sciences, JAIN (Deemed-to-be University), Karnataka, India
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12
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Hu A, Cohen E, Fishbein T, Sharma K. Abstract No. 198 Portal Vein Embolization for Future Liver Remnant Enhancement in Initially Unresectable Pediatric Hepatoblastoma. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.256] [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: 02/27/2023] Open
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13
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Huang P, Huang JH, Zheng YB, Cao WM, Shao XY, Chen JQ, Huang Y, Li GL, Sharma K, Zhou HH, Wang XJ, Jin HC, Chen ZH. Cardiac Safety in Breast Cancer Patients Receiving Pegylated Liposome Doxorubicin Sequential Anti-HER2 Monoclonal Antibody Therapy. Front Pharmacol 2022; 13:883600. [PMID: 35991878 PMCID: PMC9386561 DOI: 10.3389/fphar.2022.883600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 02/25/2022] [Accepted: 06/23/2022] [Indexed: 01/03/2023] Open
Abstract
Background: Cardiotoxicity associated with the sequential use of anthracyclines followed by trastuzumab is common in adjuvant therapy of patients with HER2-positive early breast cancer (eBC). However, the cardiac safety of trastuzumab concurrent with pegylated liposomal doxorubicin (PLD) is relatively less studied. Method: Clinical data of patients with HER2-positive eBC treated with PLD and cyclophosphamide (PLD-C) followed by taxanes plus trastuzumab ± pertuzumab (TH or TPH) who then completed standard anti-HER2 treatment for 12 months from June 2012 to August 2021 were retrospectively collected. The primary endpoints were clinical and subclinical cardiotoxicity. Result: In total, 70 eligible patients were enrolled. Among them, 55 patients (78.6%) received PLD-C → TH and 15 patients (21.4%) received PLD-C → TPH. The median follow-up time was 41.8 months. Until August 2021, only two patients had recurrent or metastatic diseases, with 2-year and 5-year disease-free survivals of 98.6% and 96.8%, respectively. Clinical cardiotoxicity occurred in six patients (8.6%), and all of them had an absolute decline of ≥16% from baseline left ventricular ejection fraction (LVEF) but not below the lower limit of normal (LLN = 50%). Subclinical cardiotoxicity events occurred in 17 patients (24.3%), and all of them had absolute declines of ≥10% and <16% from baseline LVEF but not below the LLN. No patients were interrupted from treatment, and all patients completed anti-HER2 treatment for 12 months. The sharpest decrease in LVEF was observed at 18 months after the start of PLD treatment. The cumulative incidences of clinical and subclinical cardiotoxicity were 9.8% and 28.3%, respectively. In the univariate analysis, body mass index, age, left chest wall radiotherapy, and ongoing cardiovascular risk factors were not significantly associated with clinical or subclinical cardiotoxicity (p > 0.05). No patients had congestive heart failure or death caused by PLD or anti-HER2 treatment. Conclusion: The sequential use of PLD and trastuzumab showed a lower incidence of clinical cardiotoxicity, presented as asymptomatic decreased LVEF, compared with the results obtained in previous clinical studies using conventional anthracycline, taxanes and trastuzumab. The study regimen demonstrated good cardiac tolerance and is an alternative strategy for cardioprotection in patients with HER2-positive eBC.
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Affiliation(s)
- Ping Huang
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Jia-huan Huang
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- Department of Internal Medicine, Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Ya-bing Zheng
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Wen-ming Cao
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Xi-ying Shao
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Jun-qing Chen
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Yuan Huang
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Guang-liang Li
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - K Sharma
- ICardioOncology (Official Cardio-Oncology Organization in China), Shanghai, China
| | - Huan-huan Zhou
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Xiao-jia Wang
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- *Correspondence: Zhan-hong Chen, ; Hong-chuan Jin, ; Xiao-jia Wang,
| | - Hong-chuan Jin
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Zhan-hong Chen, ; Hong-chuan Jin, ; Xiao-jia Wang,
| | - Zhan-hong Chen
- Department of Breast Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- *Correspondence: Zhan-hong Chen, ; Hong-chuan Jin, ; Xiao-jia Wang,
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14
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Mohan J, Mehta A, Chandra P, Mohanan P, Abdullakutty J, Oomman A, Porwal S, Sharma K, Charantimath M, Banerjee S, Kumar S, Novel G. Translating novel evidence into practice: Consensus for intensive therapy with high dose potent statin to improve outcomes in acute coronary syndrome. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.540] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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15
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Lee MMY, Gillis KA, Brooksbank KJM, Allwood-Spiers S, Hall Barrientos P, Wetherall K, Roditi G, AlHummiany B, Berry C, Campbell RT, Chong V, Coyle L, Docherty KF, Dreisbach JG, Kuehn B, Labinjoh C, Lang NN, Lennie V, Mangion K, McConnachie A, Murphy CL, Petrie CJ, Petrie JR, Sharma K, Sourbron S, Speirits IA, Thompson J, Welsh P, Woodward R, Wright A, Radjenovic A, McMurray JJV, Jhund PS, Petrie MC, Sattar N, Mark PB. Effect of Empagliflozin on Kidney Biochemical and Imaging Outcomes in Patients With Type 2 Diabetes, or Prediabetes, and Heart Failure with Reduced Ejection Fraction (SUGAR-DM-HF). Circulation 2022; 146:364-367. [PMID: 35877829 DOI: 10.1161/circulationaha.122.059851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Matthew M Y Lee
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
- Glasgow Royal Infirmary, UK (M.M.Y.L., G.R., J.R.P., M.C.P., N.S.)
| | - Keith A Gillis
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Katriona J M Brooksbank
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Sarah Allwood-Spiers
- Department of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, UK (S.A.-S., P.H.B.)
| | - Pauline Hall Barrientos
- Department of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, UK (S.A.-S., P.H.B.)
| | - Kirsty Wetherall
- Robertson Centre for Biostatistics (K.W., A.M.), University of Glasgow, UK
| | - Giles Roditi
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
- Glasgow Royal Infirmary, UK (M.M.Y.L., G.R., J.R.P., M.C.P., N.S.)
| | | | - Colin Berry
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Ross T Campbell
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Victor Chong
- University Hospital Crosshouse, Kilmarnock, UK (V.C.)
| | | | - Kieran F Docherty
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | | | - Bernd Kuehn
- Siemens Healthcare GmbH, Erlangen, Germany (B.K.)
| | | | - Ninian N Lang
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Vera Lennie
- University Hospital Ayr, UK (V.L.)
- Aberdeen Royal Infirmary, UK (V.L.)
| | - Kenneth Mangion
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Alex McConnachie
- Robertson Centre for Biostatistics (K.W., A.M.), University of Glasgow, UK
| | | | - Colin J Petrie
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- University Hospital Monklands, Airdrie, UK (C.J.P.)
| | - John R Petrie
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Glasgow Royal Infirmary, UK (M.M.Y.L., G.R., J.R.P., M.C.P., N.S.)
| | | | - Steven Sourbron
- University of Leeds, UK (B.A., S.S.)
- University of Sheffield, UK (K.S., S.S.)
| | | | - Joyce Thompson
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
| | - Rosemary Woodward
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Ann Wright
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Aleksandra Radjenovic
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
| | - John J V McMurray
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Pardeep S Jhund
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
| | - Mark C Petrie
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Glasgow Royal Infirmary, UK (M.M.Y.L., G.R., J.R.P., M.C.P., N.S.)
- University Hospital Crosshouse, Kilmarnock, UK (V.C.)
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Glasgow Royal Infirmary, UK (M.M.Y.L., G.R., J.R.P., M.C.P., N.S.)
| | - Patrick B Mark
- Institute of Cardiovascular and Medical Sciences (M.M.Y.L., K.A.G., K.J.M.B., G.R., C.B., R.T.C., L.C., K.F.D., N.N.L., K.M., C.J.P., J.R.P., P.W., A.W., A.R., J.J.V.M., P.S.J., M.C.P., N.S., P.B.M.), University of Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK (M.M.Y.L., K.A.G., G.R., C.B., R.T.C., K.F.D., N.N.L., K.M., J.T., R.W., A.W., J.J.V.M., P.S.J., P.B.M.)
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Kouli O, Murray V, Bhatia S, Cambridge WA, Kawka M, Shafi S, Knight SR, Kamarajah SK, McLean KA, Glasbey JC, Khaw RA, Ahmed W, Akhbari M, Baker D, Borakati A, Mills E, Thavayogan R, Yasin I, Raubenheimer K, Ridley W, Sarrami M, Zhang G, Egoroff N, Pockney P, Richards T, Bhangu A, Creagh-Brown B, Edwards M, Harrison EM, Lee M, Nepogodiev D, Pinkney T, Pearse R, Smart N, Vohra R, Sohrabi C, Jamieson A, Nguyen M, Rahman A, English C, Tincknell L, Kakodkar P, Kwek I, Punjabi N, Burns J, Varghese S, Erotocritou M, McGuckin S, Vayalapra S, Dominguez E, Moneim J, Salehi M, Tan HL, Yoong A, Zhu L, Seale B, Nowinka Z, Patel N, Chrisp B, Harris J, Maleyko I, Muneeb F, Gough M, James CE, Skan O, Chowdhury A, Rebuffa N, Khan H, Down B, Fatimah Hussain Q, Adams M, Bailey A, Cullen G, Fu YXJ, McClement B, Taylor A, Aitken S, Bachelet B, Brousse de Gersigny J, Chang C, Khehra B, Lahoud N, Lee Solano M, Louca M, Rozenbroek P, Rozitis E, Agbinya N, Anderson E, Arwi G, Barry I, Batchelor C, Chong T, Choo LY, Clark L, Daniels M, Goh J, Handa A, Hanna J, Huynh L, Jeon A, Kanbour A, Lee A, Lee J, Lee T, Leigh J, Ly D, McGregor F, Moss J, Nejatian M, O'Loughlin E, Ramos I, Sanchez B, Shrivathsa A, Sincari A, Sobhi S, Swart R, Trimboli J, Wignall P, Bourke E, Chong A, Clayton S, Dawson A, Hardy E, Iqbal R, Le L, Mao S, Marinelli I, Metcalfe H, Panicker D, R HH, Ridgway S, Tan HH, Thong S, Van M, Woon S, Woon-Shoo-Tong XS, Yu S, Ali K, Chee J, Chiu C, Chow YW, Duller A, Nagappan P, Ng S, Selvanathan M, Sheridan C, Temple M, Do JE, Dudi-Venkata NN, Humphries E, Li L, Mansour LT, Massy-Westropp C, Fang B, Farbood K, Hong H, Huang Y, Joan M, Koh C, Liu YHA, Mahajan T, Muller E, Park R, Tanudisastro M, Wu JJG, Chopra P, Giang S, Radcliffe S, Thach P, Wallace D, Wilkes A, Chinta SH, Li J, Phan J, Rahman F, Segaran A, Shannon J, Zhang M, Adams N, Bonte A, Choudhry A, Colterjohn N, Croyle JA, Donohue J, Feighery A, Keane A, McNamara D, Munir K, Roche D, Sabnani R, Seligman D, Sharma S, Stickney Z, Suchy H, Tan R, Yordi S, Ahmed I, Aranha M, El Sabawy D, Garwood P, Harnett M, Holohan R, Howard R, Kayyal Y, Krakoski N, Lupo M, McGilberry W, Nepon H, Scoleri Y, Urbina C, Ahmad Fuad MF, Ahmed O, Jaswantlal D, Kelly E, Khan MHT, Naidu D, Neo WX, O'Neill R, Sugrue M, Abbas JD, Abdul-Fattah S, Azlan A, Barry K, Idris NS, Kaka N, Mc Dermott D, Mohammad Nasir MN, Mozo M, Rehal A, Shaikh Yousef M, Wong RH, Curran E, Gardner M, Hogan A, Julka R, Lasser G, Ní Chorráin N, Ting J, Browne R, George S, Janjua Z, Leung Shing V, Megally M, Murphy S, Ravenscroft L, Vedadi A, Vyas V, Bryan A, Sheikh A, Ubhi J, Vannelli K, Vawda A, Adeusi L, Doherty C, Fitzgerald C, Gallagher H, Gill P, Hamza H, Hogan M, Kelly S, Larry J, Lynch P, Mazeni NA, O'Connell R, O'Loghlin R, Singh K, Abbas Syed R, Ali A, Alkandari B, Arnold A, Arora E, Azam R, Breathnach C, Cheema J, Compton M, Curran S, Elliott JA, Jayasamraj O, Mohammed N, Noone A, Pal A, Pandey S, Quinn P, Sheridan R, Siew L, Tan EP, Tio SW, Toh VTR, Walsh M, Yap C, Yassa J, Young T, Agarwal N, Almoosawy SA, Bowen K, Bruce D, Connachan R, Cook A, Daniell A, Elliott M, Fung HKF, Irving A, Laurie S, Lee YJ, Lim ZX, Maddineni S, McClenaghan RE, Muthuganesan V, Ravichandran P, Roberts N, Shaji S, Solt S, Toshney E, Arnold C, Baker O, Belais F, Bojanic C, Byrne M, Chau CYC, De Soysa S, Eldridge M, Fairey M, Fearnhead N, Guéroult A, Ho JSY, Joshi K, Kadiyala N, Khalid S, Khan F, Kumar K, Lewis E, Magee J, Manetta-Jones D, Mann S, McKeown L, Mitrofan C, Mohamed T, Monnickendam A, Ng AYKC, Ortu A, Patel M, Pope T, Pressling S, Purohit K, Saji S, Shah Foridi J, Shah R, Siddiqui SS, Surman K, Utukuri M, Varghese A, Williams CYK, Yang JJ, Billson E, Cheah E, Holmes P, Hussain S, Murdock D, Nicholls A, Patel P, Ramana G, Saleki M, Spence H, Thomas D, Yu C, Abousamra M, Brown C, Conti I, Donnelly A, Durand M, French N, Goan R, O'Kane E, Rubinchik P, Gardiner H, Kempf B, Lai YL, Matthews H, Minford E, Rafferty C, Reid C, Sheridan N, Al Bahri T, Bhoombla N, Rao BM, Titu L, Chatha S, Field C, Gandhi T, Gulati R, Jha R, Jones Sam MT, Karim S, Patel R, Saunders M, Sharma K, Abid S, Heath E, Kurup D, Patel A, Ali M, Cresswell B, Felstead D, Jennings K, Kaluarachchi T, Lazzereschi L, Mayson H, Miah JE, Reinders B, Rosser A, Thomas C, Williams H, Al-Hamid Z, Alsadoun L, Chlubek M, Fernando P, Gaunt E, Gercek Y, Maniar R, Ma R, Matson M, Moore S, Morris A, Nagappan PG, Ratnayake M, Rockall L, Shallcross O, Sinha A, Tan KE, Virdee S, Wenlock R, Donnelly HA, Ghazal R, Hughes I, Liu X, McFadden M, Misbert E, Mogey P, O'Hara A, Peace C, Rainey C, Raja P, Salem M, Salmon J, Tan CH, Alves D, Bahl S, Baker C, Coulthurst J, Koysombat K, Linn T, Rai P, Sharma A, Shergill A, Ahmed M, Ahmed S, Belk LH, Choudhry H, Cummings D, Dixon Y, Dobinson C, Edwards J, Flint J, Franco Da Silva C, Gallie R, Gardener M, Glover T, Greasley M, Hatab A, Howells R, Hussey T, Khan A, Mann A, Morrison H, Ng A, Osmond R, Padmakumar N, Pervaiz F, Prince R, Qureshi A, Sawhney R, Sigurdson B, Stephenson L, Vora K, Zacken A, Cope P, Di Traglia R, Ferarrio I, Hackett N, Healicon R, Horseman L, Lam LI, Meerdink M, Menham D, Murphy R, Nimmo I, Ramaesh A, Rees J, Soame R, Dilaver N, Adebambo D, Brown E, Burt J, Foster K, Kaliyappan L, Knight P, Politis A, Richardson E, Townsend J, Abdi M, Ball M, Easby S, Gill N, Ho E, Iqbal H, Matthews M, Nubi S, Nwokocha JO, Okafor I, Perry G, Sinartio B, Vanukuru N, Walkley D, Welch T, Yates J, Yeshitila N, Bryans K, Campbell B, Gray C, Keys R, Macartney M, Chamberlain G, Khatri A, Kucheria A, Lee STP, Reese G, Roy choudhury J, Tan WYR, Teh JJ, Ting A, Kazi S, Kontovounisios C, Vutipongsatorn K, Amarnath T, Balasubramanian N, Bassett E, Gurung P, Lim J, Panjikkaran A, Sanalla A, Alkoot M, Bacigalupo V, Eardley N, Horton M, Hurry A, Isti C, Maskell P, Nursiah K, Punn G, Salih H, Epanomeritakis E, Foulkes A, Henderson R, Johnston E, McCullough H, McLarnon M, Morrison E, Cheung A, Cho SH, Eriksson F, Hedges J, Low Z, May C, Musto L, Nagi S, Nur S, Salau E, Shabbir S, Thomas MC, Uthayanan L, Vig S, Zaheer M, Zeng G, Ashcroft-Quinn S, Brown R, Hayes J, McConville R, French R, Gilliam A, Sheetal S, Shehzad MU, Bani W, Christie I, Franklyn J, Khan M, Russell J, Smolarek S, Varadarassou R, Ahmed SK, Narayanaswamy S, Sealy J, Shah M, Dodhia V, Manukyan A, O'Hare R, Orbell J, Chung I, Forenc K, Gupta A, Agarwal A, Al Dabbagh A, Bennewith R, Bottomley J, Chu TSM, Chu YYA, Doherty W, Evans B, Hainsworth P, Hosfield T, Li CH, McCullagh I, Mehta A, Thaker A, Thompson B, Virdi A, Walker H, Wilkins E, Dixon C, Hassan MR, Lotca N, Tong KS, Batchelor-Parry H, Chaudhari S, Harris T, Hooper J, Johnson C, Mulvihill C, Nayler J, Olutobi O, Piramanayagam B, Stones K, Sussman M, Weaver C, Alam F, Al Rawi M, Andrew F, Arrayeh A, Azizan N, Hassan A, Iqbal Z, John I, Jones M, Kalake O, Keast M, Nicholas J, Patil A, Powell K, Roberts P, Sabri A, Segue AK, Shah A, Shaik Mohamed SA, Shehadeh A, Shenoy S, Tong A, Upcott M, Vijayasingam D, Anarfi S, Dauncey J, Devindaran A, Havalda P, Komninos G, Mwendwa E, Norman C, Richards J, Urquhart A, Allan J, Cahya E, Hunt H, McWhirter C, Norton R, Roxburgh C, Tan JY, Ali Butt S, Hansdot S, Haq I, Mootien A, Sanchez I, Vainas T, Deliyannis E, Tan M, Vipond M, Chittoor Satish NN, Dattani A, De Carvalho L, Gaston-Grubb M, Karunanithy L, Lowe B, Pace C, Raju K, Roope J, Taylor C, Youssef H, Munro T, Thorn C, Wong KHF, Yunus A, Chawla S, Datta A, Dinesh AA, Field D, Georgi T, Gwozdz A, Hamstead E, Howard N, Isleyen N, Jackson N, Kingdon J, Sagoo KS, Schizas A, Yin L, Aung E, Aung YY, Franklin S, Han SM, Kim WC, Martin Segura A, Rossi M, Ross T, Tirimanna R, Wang B, Zakieh O, Ben-Arzi H, Flach A, Jackson E, Magers S, Olu abara C, Rogers E, Sugden K, Tan H, Veliah S, Walton U, Asif A, Bharwada Y, Bowley D, Broekhuizen A, Cooper L, Evans N, Girdlestone H, Ling C, Mann H, Mehmood N, Mulvenna CL, Rainer N, Trout I, Gujjuri R, Jeyaraman D, Leong E, Singh D, Smith E, Anderton J, Barabas M, Goyal S, Howard D, Joshi A, Mitchell D, Weatherby T, Badminton R, Bird R, Burtle D, Choi NY, Devalia K, Farr E, Fischer F, Fish J, Gunn F, Jacobs D, Johnston P, Kalakoutas A, Lau E, Loo YNAF, Louden H, Makariou N, Mohammadi K, Nayab Y, Ruhomaun S, Ryliskyte R, Saeed M, Shinde P, Sudul M, Theodoropoulou K, Valadao-Spoorenberg J, Vlachou F, Arshad SR, Janmohamed AM, Noor M, Oyerinde O, Saha A, Syed Y, Watkinson W, Ahmadi H, Akintunde A, Alsaady A, Bradley J, Brothwood D, Burton M, Higgs M, Hoyle C, Katsura C, Lathan R, Louani A, Mandalia R, Prihartadi AS, Qaddoura B, Sandland-Taylor L, Thadani S, Thompson A, Walshaw J, Teo S, Ali S, Bawa JH, Fox S, Gargan K, Haider SA, Hanna N, Hatoum A, Khan Z, Krzak AM, Li T, Pitt J, Tan GJS, Ullah Z, Wilson E, Cleaver J, Colman J, Copeland L, Coulson A, Davis P, Faisal H, Hassan F, Hughes JT, Jabr Y, Mahmoud Ali F, Nahaboo Solim ZN, Sangheli A, Shaya S, Thompson R, Cornwall H, De Andres Crespo M, Fay E, Findlay J, Groves E, Jones O, Killen A, Millo J, Thomas S, Ward J, Wilkins M, Zaki F, Zilber E, Bhavra K, Bilolikar A, Charalambous M, Elawad A, Eleni A, Fawdon R, Gibbins A, Livingstone D, Mala D, Oke SE, Padmakumar D, Patsalides MA, Payne D, Ralphs C, Roney A, Sardar N, Stefanova K, Surti F, Timms R, Tosney G, Bannister J, Clement NS, Cullimore V, Kamal F, Lendor J, McKay J, Mcswiggan J, Minhas N, Seneviratne K, Simeen S, Valverde J, Watson N, Bloom I, Dinh TH, Hirniak J, Joseph R, Kansagra M, Lai CKN, Melamed N, Patel J, Randev J, Sedighi T, Shurovi B, Sodhi J, Vadgama N, Abdulla S, Adabavazeh B, Champion A, Chennupati R, Chu K, Devi S, Haji A, Schulz J, Testa F, Davies P, Gurung B, Howell S, Modi P, Pervaiz A, Zahid M, Abdolrazaghi S, Abi Aoun R, Anjum Z, Bawa G, Bhardwaj R, Brown S, Enver M, Gill D, Gopikrishna D, Gurung D, Kanwal A, Kaushal P, Khanna A, Lovell E, McEvoy C, Mirza M, Nabeel S, Naseem S, Pandya K, Perkins R, Pulakal R, Ray M, Reay C, Reilly S, Round A, Seehra J, Shakeel NM, Singh B, 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McEneaney L, N D G, Pranoy S, Ting M, Abada S, Alawattegama LH, Ashok A, Carey C, Gogna A, Haglund C, Hurley P, Leelo N, Liu B, Mannan F, Paramjothy K, Ramlogan K, Raymond-Hayling O, Shanmugarajah A, Solichan D, Wilkinson B, Ahmad NA, Allan D, Amin A, Bakina C, Burns F, Cameron F, Campbell A, Cavanagh S, Chan SMZ, Chapman S, Chong V, Edelsten E, Ekpete O, El Sheikh M, Ghose R, Hassane A, Henderson C, Hilton-Christie S, Husain M, Hussain H, Javid Z, Johnson-Ogbuneke J, Johnston A, Khalil M, Leung TCC, Makin I, Muralidharan V, Naeem M, Patil P, Ravichandran S, Saraeva D, Shankey-Smith W, Sharma N, Swan R, Waudby-West R, Wilkinson A, Wright K, Balasubramanian A, Bhatti S, Chalkley M, Chou WK, Dixon M, Evans L, Fisher K, Gandhi P, Ho S, Lau YB, Lowe S, Meechan C, Murali N, Musonda C, Njoku P, Ochieng L, Pervez MU, Seebah K, Shaikh I, Sikder MA, Vanker R, Alom J, Bajaj V, Coleman O, Finch G, Goss J, Jenkins C, Kontothanassis A, Liew MS, Ng K, Outram M, Shakeel MM, Tawn J, Zuhairy S, Chapple K, Cinnamond A, Coleman S, George HA, Goulder L, Hare N, Hawksley J, Kret A, Luesley A, Mecia L, Porter H, Puddy E, Richardson G, Sohail B, Srikaran V, Tadross D, Tobin J, Tokidis E, Young L, Ashdown T, Bratsos S, Koomson A, Kufuor A, Lim MQ, Shah S, Thorne EPC, Warusavitarne J, Xu S, Abigail S, Ahmed A, Ahmed J, Akmal A, Al-Khafaji M, Amini B, Arshad M, Bogie E, Brazkiewicz M, Carroll M, Chandegra A, Cirelli C, Deng A, Fairclough S, Fung YJ, Gornell C, Green RL, Green SV, Gulamhussein AHM, Isaac AG, Jan R, Jegatheeswaran L, Knee M, Kotecha J, Kotecha S, Maxwell-Armstrong C, McIntyre C, Mendis N, Naing TKP, Oberman J, Ong ZX, Ramalingam A, Saeed Adam A, Tan LL, Towell S, Yadav J, Anandampillai R, Chung S, Hounat A, Ibrahim B, Jeyakumar G, Khalil A, Khan UA, Nair G, Owusu-Ayim M, Wilson M, Kanani A, Kilkelly B, Ogunmwonyi I, Ong L, Samra B, Schomerus L, Shea J, Turner O, Yang Y, Amin M, Blott N, Clark A, Feather A, Forrest M, Hague S, Hamilton K, Higginbotham G, Hope E, Karimian S, Loveday K, Malik H, McKenna O, Noor A, Onsiong C, Patel B, Radcliffe N, Shah P, Tye L, Verma K, Walford R, Yusufi U, Zachariah M, Casey A, Doré C, Fludder V, Fortescue L, Kalapu SS, Karel E, Khera G, Smith C, Appleton B, Ashaye A, Boggon E, Evans A, Faris Mahmood H, Hinchcliffe Z, Marei O, Silva I, Spooner C, Thomas G, Timlin M, Wellington J, Yao SL, Abdelrazek M, Abdelrazik Y, Bee F, Joseph A, Mounce A, Parry G, Vignarajah N, Biddles D, Creissen A, Kolhe S, K T, Lea A, Ledda V, O'Loughlin P, Scanlon J, Shetty N, Weller C, Abdalla M, Adeoye A, Bhatti M, Chadda KR, Chu J, Elhakim H, Foster-Davies H, Rabie M, Tailor B, Webb S, Abdelrahim ASA, Choo SY, Jiwa A, Mangam S, Murray S, Shandramohan A, Aghanenu O, Budd W, Hayre J, Khanom S, Liew ZY, McKinney R, Moody N, Muhammad-Kamal H, Odogwu J, Patel D, Roy C, Sattar Z, Shahrokhi N, Sinha I, Thomson E, Wonga L, Bain J, Khan J, Ricardo D, Bevis R, Cherry C, Darkwa S, Drew W, Griffiths E, Konda N, Madani D, Mak JKC, Meda B, Odunukwe U, Preest G, Raheel F, Rajaseharan A, Ramgopal A, Risbrooke C, Selvaratnam K, Sethunath G, Tabassum R, Taylor J, Thakker A, Wijesingha N, Wybrew R, Yasin T, Ahmed Osman A, Alfadhel S, Carberry E, Chen JY, Drake I, Glen P, Jayasuriya N, Kawar L, Myatt R, Sinan LOH, Siu SSY, Tjen V, Adeboyejo O, Bacon H, Barnes R, Birnie C, D'Cunha Kamath A, Hughes E, Middleton S, Owen R, Schofield E, Short C, Smith R, Wang H, Willett M, Zimmerman M, Balfour J, Chadwick T, Coombe-Jones M, Do Le HP, Faulkner G, Hobson K, Shehata Z, Beattie M, Chmielewski G, Chong C, Donnelly B, Drusch B, Ellis J, Farrelly C, Feyi-Waboso J, Hibell I, Hoade L, Ho C, Jones H, Kodiatt B, Lidder P, Ni Cheallaigh L, Norman R, Patabendi I, Penfold H, Playfair M, Pomeroy S, Ralph C, Rottenburg H, Sebastian J, Sheehan M, Stanley V, Welchman J, Ajdarpasic D, Antypas A, Azouaghe O, Basi S, Bettoli G, Bhattarai S, Bommireddy L, Bourne K, Budding J, Cookey-Bresi R, Cummins T, Davies G, Fabelurin C, Gwilliam R, Hanley J, Hird A, Kruczynska A, Langhorne B, Lund J, Lutchman I, McGuinness R, Neary M, Pampapathi S, Pang E, Podbicanin S, Rai N, Redhouse White G, Sujith J, Thomas P, Walker I, Winterton R, Anderson P, Barrington M, Bhadra K, Clark G, Fowler G, Gibson C, Hudson S, Kaminskaite V, Lawday S, Longshaw A, MacKrill E, McLachlan F, Murdeshwar A, Nieuwoudt R, Parker P, Randall R, Rawlins E, Reeves SA, Rye D, Sirkis T, Sykes B, Ventress N, Wosinska N, Akram B, Burton L, Coombs A, Long R, Magowan D, Ong C, Sethi M, Williams G, Chan C, Chan LH, Fernando D, Gaba F, Khor Z, Les JW, Mak R, Moin S, Ng Kee Kwong KC, Paterson-Brown S, Tew YY, Bardon A, Burrell K, Coldwell C, Costa I, Dexter E, Hardy A, Khojani M, Mazurek J, Raymond T, Reddy V, Reynolds J, Soma A, Agiotakis S, Alsusa H, Desai N, Peristerakis I, Adcock A, Ayub H, Bennett T, Bibi F, Brenac S, Chapman T, Clarke G, Clark F, Galvin C, Gwyn-Jones A, Henry-Blake C, Kerner S, Kiandee M, Lovett A, Pilecka A, Ravindran R, Siddique H, Sikand T, Treadwell K, Akmal K, Apata A, Barton O, Broad G, Darling H, Dhuga Y, Emms L, Habib S, Jain R, Jeater J, Kan CYP, Kathiravelupillai A, Khatkar H, Kirmani S, Kulasabanathan K, Lacey H, Lal K, Manafa C, Mansoor M, McDonald S, Mittal A, Mustoe S, Nottrodt L, Oliver P, Papapetrou I, Pattinson F, Raja M, Reyhani H, Shahmiri A, Small O, Soni U, Aguirrezabala Armbruster B, Bunni J, Hakim MA, Hawkins-Hooker L, Howell KA, Hullait R, Jaskowska A, Ottewell L, Thomas-Jones I, Vasudev A, Clements B, Fenton J, Gill M, Haider S, Lim AJM, Maguire H, McMullan J, Nicoletti J, Samuel S, Unais MA, White N, Yao PC, Yow L, Boyle C, Brady R, Cheekoty P, Cheong J, Chew SJHL, Chow R, Ganewatta Kankanamge D, Mamer L, Mohammed B, Ng Chieng Hin J, Renji Chungath R, Royston A, Sharrad E, Sinclair R, Tingle S, Treherne K, Wyatt F, Maniarasu VS, Moug S, Appanna T, Bucknall T, Hussain F, Owen A, Parry M, Parry R, Sagua N, Spofforth K, Yuen ECT, Bosley N, Hardie W, Moore T, Regas C, Abdel-Khaleq S, Ali N, Bashiti H, Buxton-Hopley R, Constantinides M, D'Afflitto M, Deshpande A, Duque Golding J, Frisira E, Germani Batacchi M, Gomaa A, Hay D, Hutchison R, Iakovou A, Iakovou D, Ismail E, Jefferson S, Jones L, Khouli Y, Knowles C, Mason J, McCaughan R, Moffatt J, Morawala A, Nadir H, Neyroud F, Nikookam Y, Parmar A, Pinto L, Ramamoorthy R, Richards E, Thomson S, Trainer C, Valetopoulou A, Vassiliou A, Wantman A, Wilde S, Dickinson M, Rockall T, Senn D, Wcislo K, Zalmay P, Adelekan K, Allen K, Bajaj M, Gatumbu P, Hang S, Hashmi Y, Kaur T, Kawesha A, Kisiel A, Woodmass M, Adelowo T, Ahari D, Alhwaishel K, Atherton R, Clayton B, Cockroft A, Curtis Lopez C, Hilton M, Ismail N, Kouadria M, Lee L, MacConnachie A, Monks F, Mungroo S, Nikoletopoulou C, Pearce L, Sara X, Shahid A, Suresh G, Wilcha R, Atiyah A, Davies E, Dermanis A, Gibbons H, Hyde A, Lawson A, Lee C, Leung-Tack M, Li Saw Hee J, Mostafa O, Nair D, Pattani N, Plumbley-Jones J, Pufal K, Ramesh P, Sanghera J, Saram S, Scadding S, See S, Stringer H, Torrance A, Vardon H, Wyn-Griffiths F, Brew A, Kaur G, Soni D, Tickle A, Akbar Z, Appleyard T, Figg K, Jayawardena P, Johnson A, Kamran Siddiqui Z, Lacy-Colson J, Oatham R, Rowlands B, Sludden E, Turnbull C, Allin D, Ansar Z, Azeez Z, Dale VH, Garg J, Horner A, Jones S, Knight S, McGregor C, McKenna J, McLelland T, Packham-Smith A, Rowsell K, Spector-Hill I, Adeniken E, Baker J, Bartlett M, Chikomba L, Connell B, Deekonda P, Dhar M, Elmansouri A, Gamage K, Goodhew R, Hanna P, Knight J, Luca A, Maasoumi N, Mahamoud F, Manji S, Marwaha PK, Mason F, Oluboyede A, Pigott L, Razaq AM, Richardson M, Saddaoui I, Wijeyendram P, Yau S, Atkins W, Liang K, Miles N, Praveen B, Ashai S, Braganza J, Common J, Cundy A, Davies R, Guthrie J, Handa I, Iqbal M, Ismail R, Jones C, Jones I, Lee KS, Levene A, Okocha M, Olivier J, Smith A, Subramaniam E, Tandle S, Wang A, Watson A, Wilson C, Chan XHF, Khoo E, Montgomery C, Norris M, Pugalenthi PP, Common T, Cook E, Mistry H, Shinmar HS, Agarwal G, Bandyopadhyay S, Brazier B, Carroll L, Goede A, Harbourne A, Lakhani A, Lami M, Larwood J, Martin J, Merchant J, Pattenden S, Pradhan A, Raafat N, Rothwell E, Shammoon Y, Sudarshan R, Vickers E, Wingfield L, Ashworth I, Azizi S, Bhate R, Chowdhury T, Christou A, Davies L, Dwaraknath M, Farah Y, Garner J, Gureviciute E, Hart E, Jain A, Javid S, Kankam HK, Kaur Toor P, Kaz R, Kermali M, Khan I, Mattson A, McManus A, Murphy M, Nair K, Ngemoh D, Norton E, Olabiran A, Parry L, Payne T, Pillai K, Price S, Punjabi K, Raghunathan A, Ramwell A, Raza M, Ritehnia J, Simpson G, Smith W, Sodeinde S, Studd L, Subramaniam M, Thomas J, Towey S, Tsang E, Tuteja D, Vasani J, Vio M, Badran A, Adams J, Anthony Wilkinson J, Asvandi S, Austin T, Bald A, Bix E, Carrick M, Chander B, Chowdhury S, Cooper Drake B, Crosbie S, D Portela S, Francis D, Gallagher C, Gillespie R, Gravett H, Gupta P, Ilyas C, James G, Johny J, Jones A, Kinder F, MacLeod C, Macrow C, Maqsood-Shah A, Mather J, McCann L, McMahon R, Mitham E, Mohamed M, Munton E, Nightingale K, O'Neill K, Onyemuchara I, Senior R, Shanahan A, Sherlock J, Spyridoulias A, Stavrou C, Stokes D, Tamang R, Taylor E, Trafford C, Uden C, Waddington C, Yassin D, Zaman M, Bangi S, Cheng T, Chew D, Hussain N, Imani-Masouleh S, Mahasivam G, McKnight G, Ng HL, Ota HC, Pasha T, Ravindran W, Shah K, Vishnu K S, Zaman S, Carr W, Cope S, Eagles EJ, Howarth-Maddison M, Li CY, Reed J, Ridge A, Stubbs T, Teasdaled D, Umar R, Worthington J, Dhebri A, Kalenderov R, Alattas A, Arain Z, Bhudia R, Chia D, Daniel S, Dar T, Garland H, Girish M, Hampson A, Kyriacou H, Lehovsky K, Mullins W, Omorphos N, Vasdev N, Venkatesh A, Waldock W, Bhandari A, Brown G, Choa G, Eichenauer CE, Ezennia K, Kidwai Z, Lloyd-Thomas A, Macaskill Stewart A, Massardi C, Sinclair E, Skajaa N, Smith M, Tan I, Afsheen N, Anuar A, Azam Z, Bhatia P, Davies-kelly N, Dickinson S, Elkawafi M, Ganapathy M, Gupta S, Khoury EG, Licudi D, Mehta V, Neequaye S, Nita G, Tay VL, Zhao S, Botsa E, Cuthbert H, Elliott J, Furlepa M, Lehmann J, Mangtani A, Narayan A, Nazarian S, Parmar C, Shah D, Shaw C, Zhao Z, Beck C, Caldwell S, Clements JM, French B, Kenny R, Kirk S, Lindsay J, McClung A, McLaughlin N, Watson S, Whiteside E, Alyacoubi S, Arumugam V, Beg R, Dawas K, Garg S, Lloyd ER, Mahfouz Y, Manobharath N, Moonesinghe R, Morka N, Patel K, Prashar J, Yip S, Adeeko ES, Ajekigbe F, Bhat A, Evans C, Farrugia A, Gurung C, Long T, Malik B, Manirajan S, Newport D, Rayer J, Ridha A, Ross E, Saran T, Sinker A, Waruingi D, Allen R, Al Sadek Y, Alves do Canto Brum H, Asharaf H, Ashman M, Balakumar V, Barrington J, Baskaran R, Berry A, Bhachoo H, Bilal A, Boaden L, Chia WL, Covell G, Crook D, Dadnam F, Davis L, De Berker H, Doyle C, Fox C, Gruffydd-Davies M, Hafouda Y, Hill A, Hubbard E, Hunter A, Inpadhas V, Jamshaid M, Jandu G, Jeyanthi M, Jones T, Kantor C, Kwak SY, Malik N, Matt R, McNulty P, Miles C, Mohomed A, Myat P, Niharika J, Nixon A, O'Reilly D, Parmar K, Pengelly S, Price L, Ramsden M, Turnor R, Wales E, Waring H, Wu M, Yang T, Ye TTS, Zander A, Zeicu C, Bellam S, Francombe J, Kawamoto N, Rahman MR, Sathyanarayana A, Tang HT, Cheung J, Hollingshead J, Page V, Sugarman J, Wong E, Chiong J, Fung E, Kan SY, Kiang J, Kok J, Krahelski O, Liew MY, Lyell B, Sharif Z, Speake D, Alim L, Amakye NY, Chandrasekaran J, Chandratreya N, Drake J, Owoso T, Thu YM, Abou El Ela Bourquin B, Alberts J, Chapman D, Rehnnuma N, Ainsworth K, Carpenter H, Emmanuel T, Fisher T, Gabrel M, Guan Z, Hollows S, Hotouras A, Ip Fung Chun N, Jaffer S, Kallikas G, Kennedy N, Lewinsohn B, Liu FY, Mohammed S, Rutherfurd A, Situ T, Stammer A, Taylor F, Thin N, Urgesi E, Zhang N, Ahmad MA, Bishop A, Bowes A, Dixit A, Glasson R, Hatta S, Hatt K, Larcombe S, Preece J, Riordan E, Fegredo D, Haq MZ, Li C, McCann G, Stewart D, Baraza W, Bhullar D, Burt G, Coyle J, Deans J, Devine A, Hird R, Ikotun O, Manchip G, Ross C, Storey L, Tan WWL, Tse C, Warner C, Whitehead M, Wu F, Court EL, Crisp E, Huttman M, Mayes F, Robertson H, Rosen H, Sandberg C, Smith H, Al Bakry M, Ashwell W, Bajaj S, Bandyopadhyay D, Browlee O, Burway S, Chand CP, Elsayeh K, Elsharkawi A, Evans E, Ferrin S, Fort-Schaale A, Iacob M, I K, Impelliziere Licastro G, Mankoo AS, Olaniyan T, Otun J, Pereira R, Reddy R, Saeed D, Simmonds O, Singhal G, Tron K, Wickstone C, Williams R, Bradshaw E, De Kock Jewell V, Houlden C, Knight C, Metezai H, Mirza-Davies A, Seymour Z, Spink D, Wischhusen S. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study. Lancet Digit Health 2022; 4:e520-e531. [PMID: 35750401 DOI: 10.1016/s2589-7500(22)00069-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/07/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. METHODS We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). FINDINGS In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]). INTERPRETATION In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. FUNDING British Journal of Surgery Society.
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Arena G, Sharma K, Agyeah G, Krüger R, Grünewald A, Fitzgerald JC. Neurodegeneration and Neuroinflammation in Parkinson's Disease: a Self-Sustained Loop. Curr Neurol Neurosci Rep 2022; 22:427-440. [PMID: 35674870 PMCID: PMC9174445 DOI: 10.1007/s11910-022-01207-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/02/2022] [Indexed: 02/06/2023]
Abstract
Purpose of Review Neuroinflammation plays a significant role in Parkinson’s disease (PD) etiology along with mitochondrial dysfunction and impaired proteostasis. In this context, mechanisms related to immune response can act as modifiers at different steps of the neurodegenerative process and justify the growing interest in anti-inflammatory agents as potential disease-modifying treatments in PD. The discovery of inherited gene mutations in PD has allowed researchers to develop cellular and animal models to study the mechanisms of the underlying biology, but the original cause of neuroinflammation in PD is still debated to date. Recent Findings Cell autonomous alterations in neuronal cells, including mitochondrial damage and protein aggregation, could play a role, but recent findings also highlighted the importance of intercellular communication at both local and systemic level. This has given rise to debate about the role of non-neuronal cells in PD and reignited intense research into the gut-brain axis and other non-neuronal interactions in the development of the disease. Whatever the original trigger of neuroinflammation in PD, what appears quite clear is that the aberrant activation of glial cells and other components of the immune system creates a vicious circle in which neurodegeneration and neuroinflammation nourish each other. Summary In this review, we will provide an up-to-date summary of the main cellular alterations underlying neuroinflammation in PD, including those induced by environmental factors (e.g. the gut microbiome) and those related to the genetic background of affected patients. Starting from the lesson provided by familial forms of PD, we will discuss pathophysiological mechanisms linked to inflammation that could also play a role in idiopathic forms. Finally, we will comment on the potential clinical translatability of immunobiomarkers identified in PD patient cohorts and provide an update on current therapeutic strategies aimed at overcoming or preventing inflammation in PD.
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Affiliation(s)
- G Arena
- Luxembourg Center for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
| | - K Sharma
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - G Agyeah
- Luxembourg Center for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - R Krüger
- Luxembourg Center for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.,Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg.,Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - A Grünewald
- Luxembourg Center for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.,Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - J C Fitzgerald
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
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Acree P, Vellody R, Yadav B, Meagher E, Diab Y, Sharma K. Abstract No. 23 Catheter-directed therapy for pediatric patients with deep venous thrombosis and underlying May-Thurner syndrome. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.105] [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: 11/28/2022] Open
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Tekkis NP, Rafi D, Brown S, Courtney A, Kawka M, Howell AM, McLean K, Gardiner M, Mavroveli S, Hutchinson P, Tekkis P, Wilkinson P, Sam AH, Savva N, Kontovounisios C, Tekkis N, Rafi D, Brown S, Courtney A, Kawka M, Howell A, McLean K, Gardiner M, Mavroveli S, Hutchinson P, Tekkis P, Wilkinson P, Sam AH, Savva N, Kontovounisios C, Tekkis N, Rafi D, Brown S, Courtney A, Kawka M, Howell A, McLean K, Gardiner M, Mavroveli S, Hutchinson P, Tekkis P, Wilkinson P, Sam AH, Savva N, Kontovounisios C, Tekkis N, Brown S, Kawka M, Mclean K, Savva N, Wilkinson P, Sam AH, Singal A, Chia C, Chia W, Ganesananthan S, Ooi SZY, Pengelly S, Wellington J, Mak S, Subbiah Ponniah H, Heyes A, Aberman I, Ahmed T, Al-Shamaa S, Appleton L, Arshad A, Awan H, Baig Q, Benedict K, Berkes S, Citeroni NL, Damani A, de Sancha A, Fisayo T, Gupta S, Haq M, Heer B, Jones A, Khan H, Kim H, Meiyalagan N, Miller G, Minta N, Mirza L, Mohamed F, Ramjan F, Read P, Soni L, Tailor V, Tas RN, Vorona M, Walker M, Winkler T, Bardon A, Acquaah J, Ball T, Bani W, Elmasry A, Hussein F, Kolluri M, Lusta H, Newman J, Nott M, Perwaiz MI, Rayner R, Shah A, Shaw I, Yu K, Cairns M, Clough R, Gaier S, Hirani D, Jeyapalan T, Li Y, Patel CR, Shabir H, Wang YA, Weatherhead A, Dhiran A, Renney O, Wells P, Ferguson S, Joyce A, Mergo A, Adebayo O, Ahmad J, Akande O, Ang G, Aniereobi E, Awasthi S, Banjoko A, Bates J, Chibada C, Clarke N, Craner I, Desai DD, Dixon K, Duffaydar HI, Kuti M, Mughal AZ, Nair D, Pham MC, Preest GG, Reid R, Sachdeva GS, Selvaratnam K, Sheikh J, Soran V, Stoney N, Wheatle M, Howarth K, Knapp-Wilson A, Lee KS, Mampitiya N, Masson C, McAlinden JJ, McGowan N, Parmar SC, Robinson B, Wahid S, Willis L, Risquet R, Adebayo A, Dhingra L, Kathiravelupillai S, Narayanan R, Soni J, Ghafourian P, Hounat A, Lennon KA, Abdi Mohamud M, Chou W, Chong L, Graham CJ, Piya S, Riad AM, Vennard S, Wang J, Kawar L, Maseland C, Myatt R, Tengku Saifudin TNS, Yong SQ, Douglas F, Ogbechie C, Sharma K, Zafar L, Bajomo MO, Byrne MHV, Obi C, Oluyomi DI, Patsalides MA, Rajananthanan A, Richardson G, Clarke A, Roxas A, Adeboye W, Argus L, McSweeney J, Rahman-Chowdhury M, Hettiarachchi DS, Masood MT, Antypas A, Thomas M, de Andres Crespo M, Zimmerman M, Dhillon A, Abraha S, Burton O, Jalal AHB, Bailey B, Casey A, Kathiravelupillai A, Missir E, Boult H, Campen D, Collins JM, Dulai S, Elhassan M, Foster Z, Horton E, Jones E, Mahapatra S, Nancarrow T, Nyamapfene T, Rimmer A, Robberstad M, Robson-Brown S, Saeed A, Sarwar Y, Taylor C, Vetere G, Whelan MK, Williams J, Zahid D, Chand C, Matthews M. The impact of the COVID-19 pandemic on UK medical education. A nationwide student survey. Med Teach 2022; 44:574-575. [PMID: 34428109 DOI: 10.1080/0142159x.2021.1962835] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
| | - Damir Rafi
- School of Medicine, Imperial College London, London, UK
| | - Sam Brown
- Leicester Medical School, University of Leicester, Leicester, UK
| | - Alona Courtney
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Michal Kawka
- School of Medicine, Imperial College London, London, UK
| | - Ann-Marie Howell
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Kenneth McLean
- Division of Clinical and Surgical Sciences, University of Edinburgh, Edinburgh, UK
| | - Matthew Gardiner
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | | | - Peter Hutchinson
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Paris Tekkis
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Paul Wilkinson
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Amir H Sam
- School of Medicine, Imperial College London, London, UK
| | - Nicos Savva
- Division of Management Science and Operations, London Business School, London, UK
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- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - T Ball
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - W Bani
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - A Elmasry
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - F Hussein
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - M Kolluri
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - H Lusta
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - J Newman
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - M Nott
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - M I Perwaiz
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - R Rayner
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - A Shah
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - I Shaw
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | - K Yu
- Plymouth University Peninsula Schools of Medicine and Dentistry
| | | | | | - S Gaier
- Queen Mary University of London
| | | | | | - Y Li
- Queen Mary University of London
| | | | | | | | | | - A Dhiran
- St George's Hospital Medical School
| | - O Renney
- St George's Hospital Medical School
| | - P Wells
- St George's Hospital Medical School
| | | | - A Joyce
- The Queen's University of Belfast
| | | | | | - J Ahmad
- The University of Birmingham
| | | | - G Ang
- The University of Birmingham
| | | | | | | | - J Bates
- The University of Birmingham
| | | | | | | | | | - K Dixon
- The University of Birmingham
| | | | - M Kuti
- The University of Birmingham
| | | | - D Nair
- The University of Birmingham
| | | | | | - R Reid
- The University of Birmingham
| | | | | | | | - V Soran
- The University of Birmingham
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - J Soni
- The University of Cambridge
| | | | | | | | | | - W Chou
- The University of East Anglia
| | | | | | - S Piya
- The University of Edinburgh
| | | | | | - J Wang
- The University of Edinburgh
| | | | | | | | | | | | | | | | | | | | | | | | - C Obi
- The University of Leicester
| | | | | | | | | | | | | | | | - L Argus
- The University of Manchester
| | | | | | | | | | | | | | | | | | | | | | | | | | - B Bailey
- University of Brighton and Sussex
| | - A Casey
- University of Brighton and Sussex
| | | | - E Missir
- University of Brighton and Sussex
| | - H Boult
- University of Exeter Medical School
| | - D Campen
- University of Exeter Medical School
| | | | - S Dulai
- University of Exeter Medical School
| | | | - Z Foster
- University of Exeter Medical School
| | - E Horton
- University of Exeter Medical School
| | - E Jones
- University of Exeter Medical School
| | | | | | | | - A Rimmer
- University of Exeter Medical School
| | | | | | - A Saeed
- University of Exeter Medical School
| | - Y Sarwar
- University of Exeter Medical School
| | - C Taylor
- University of Exeter Medical School
| | - G Vetere
- University of Exeter Medical School
| | | | | | - D Zahid
- University of Exeter Medical School
| | - C Chand
- University of Hull and the University of York
| | - M Matthews
- University of Hull and the University of York
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Scheel P, Tsou B, Kauffman M, Drakos S, Weller A, Sharma K, Kilic A, Hsu S. Right Ventricle Pressure-Volume Analysis During LVAD Explant Evaluation. J Heart Lung Transplant 2022. [DOI: 10.1016/j.healun.2022.01.1724] [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: 10/18/2022] Open
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SHARMA A, Sharma K, Sharma N, Kumar V, Kohli H. POS-811 A RETROSPECTIVE STUDY TO ASSESS DROPOUT RATE AND ITS CAUSES IN LIVING DONOR TRANSPLANT PROGRAM IN INDIA. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.847] [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: 10/19/2022] Open
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Garg H, Pamreddy A, Hejazi L, Montemayor D, Ding Y, Venkatachalam M, Sharma K, Kaushik D. Role of Matrix assisted Laser Desorption/ionization (MALDI)- Mass Spectrometry Imaging (MSI): A novel tool to study bioenergetic signature in kidney cancer. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)01204-0] [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: 11/04/2022]
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Kacem H, Vozenin MC, Psoroulas S, Meer D, Safai S, Togno M, Lomax A, Weber D, Folkerts M, Pfister S, Sharma K. HYDROGEN PEROXIDE PRODUCTION AFTER IRRADIATION WITH PROTON BEAM AT VARIOUS DOSE RATES. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)01603-9] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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de Boer A, Villa G, Bane O, Bock M, Cox EF, Dekkers IA, Eckerbom P, Fernández‐Seara MA, Francis ST, Haddock B, Hall ME, Hall Barrientos P, Hermann I, Hockings PD, Lamb HJ, Laustsen C, Lim RP, Morris DM, Ringgaard S, Serai SD, Sharma K, Sourbron S, Takehara Y, Wentland AL, Wolf M, Zöllner FG, Nery F, Caroli A. Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI. J Magn Reson Imaging 2022; 55:323-335. [PMID: 33140551 PMCID: PMC9291014 DOI: 10.1002/jmri.27419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Phase-contrast (PC) MRI is a feasible and valid noninvasive technique to measure renal artery blood flow, showing potential to support diagnosis and monitoring of renal diseases. However, the variability in measured renal blood flow values across studies is large, most likely due to differences in PC-MRI acquisition and processing. Standardized acquisition and processing protocols are therefore needed to minimize this variability and maximize the potential of renal PC-MRI as a clinically useful tool. PURPOSE To build technical recommendations for the acquisition, processing, and analysis of renal 2D PC-MRI data in human subjects to promote standardization of renal blood flow measurements and facilitate the comparability of results across scanners and in multicenter clinical studies. STUDY TYPE Systematic consensus process using a modified Delphi method. POPULATION Not applicable. SEQUENCE FIELD/STRENGTH Renal fast gradient echo-based 2D PC-MRI. ASSESSMENT An international panel of 27 experts from Europe, the USA, Australia, and Japan with 6 (interquartile range 4-10) years of experience in 2D PC-MRI formulated consensus statements on renal 2D PC-MRI in two rounds of surveys. Starting from a recently published systematic review article, literature-based and data-driven statements regarding patient preparation, hardware, acquisition protocol, analysis steps, and data reporting were formulated. STATISTICAL TESTS Consensus was defined as ≥75% unanimity in response, and a clear preference was defined as 60-74% agreement among the experts. RESULTS Among 60 statements, 57 (95%) achieved consensus after the second-round survey, while the remaining three showed a clear preference. Consensus statements resulted in specific recommendations for subject preparation, 2D renal PC-MRI data acquisition, processing, and reporting. DATA CONCLUSION These recommendations might promote a widespread adoption of renal PC-MRI, and may help foster the set-up of multicenter studies aimed at defining reference values and building larger and more definitive evidence, and will facilitate clinical translation of PC-MRI. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Anneloes de Boer
- Department of RadiologyUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
| | - Giulia Villa
- Department of BioengineeringIstituto di Ricerche Farmacologiche Mario Negri IRCCSBergamoItaly
| | - Octavia Bane
- Biomedical Engineering and Imaging Institute/RadiologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Michael Bock
- Department of Radiology ‐ Medical Physics, Medical CenterUniversity of Freiburg, Faculty of Medicine, University of FreiburgFreiburgGermany
| | - Eleanor F. Cox
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
| | - Ilona A. Dekkers
- Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Per Eckerbom
- Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | | | - Susan T. Francis
- Sir Peter Mansfield Imaging Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUK
| | - Bryan Haddock
- Department of Clinical Physiology, Nuclear Medicine and PET, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Michael E. Hall
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | | | - Ingo Hermann
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | | | - Hildo J. Lamb
- Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Christoffer Laustsen
- Department of Clinical Medicine, MR Research CentreAarhus UniversityAarhusDenmark
| | - Ruth P. Lim
- Departments of Radiology, Surgery and MedicineThe University of MelbourneParkvilleVictoriaAustralia
- Department of RadiologyAustin HealthHeidelbergVictoriaAustralia
| | - David M. Morris
- Centre for Inflammation ResearchUniversity of Edinburgh, Edinburgh BioquarterEdinburghUK
| | - Steffen Ringgaard
- Department of Clinical Medicine, MR Research CentreAarhus UniversityAarhusDenmark
| | - Suraj D. Serai
- Department of RadiologyChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Kanishka Sharma
- Department of Imaging, Infection, Immunity and Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Steven Sourbron
- Department of Imaging, Infection, Immunity and Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Yasuo Takehara
- Department of Fundamental Development for Advanced Low Invasive Diagnostic ImagingNagoya University, Graduate School of MedicineNagoyaJapan
| | | | - Marcos Wolf
- High Field MR Center, Center for Medical Physics and Biomedical EngineeringMedical University of ViennaViennaAustria
| | - Frank G. Zöllner
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty MannheimHeidelberg UniversityMannheimGermany
| | - Fabio Nery
- Developmental Imaging and Biophysics SectionUCL Great Ormond Street Institute of Child HealthLondonUK
| | - Anna Caroli
- Department of BioengineeringIstituto di Ricerche Farmacologiche Mario Negri IRCCSBergamoItaly
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Sharma M, Karikalan M, Asok Kumar M, Sree Lakshmi P, Sharma K, Ilayaraja S, Mathur A, Pawde AM. A study on clinical diagnosis of tuberculosis in free ranging and captive wild animals of India. Iran J Vet Res 2022; 23:369-374. [PMID: 36874187 PMCID: PMC9984141 DOI: 10.22099/ijvr.2022.44272.6512] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/26/2022] [Accepted: 10/02/2022] [Indexed: 03/07/2023]
Abstract
Background Tuberculosis (TB) is a disease of paramount importance at the wildlife-livestock-human interface. Aims To study the occurrence and Mycobacterium (M) species involved in the TB of free-ranging and captive wild animals in various Indian states. Methods A total of 396 clinical samples from 207 different wild animal species from various Indian national parks, zoological gardens, etc., were analyzed by lateral flow assay (LFA), Ziehl-Neelsen (ZN) staining, and PCR. Clinical samples include blood (n=156), faecal swabs (n=103), serum (n=73), and nasal swabs or trunk wash fluids (n=64). Results Clinical signs of TB were absent in 202 animals, although 21 wild animals were seropositive for pathogenic Mycobacterium antigens by LFA. Clinical signs like progressive weight loss, and respiratory distress were exhibited by 4 sloth bears (Melursus ursinus) and an elephant (Elephas maximus), which were also found positive for LFA, PCR, and ZN staining. ZN staining showed positivity for acid-fast bacilli (AFB) in 9 (8.74%) faecal and 9 (14.06%) nasal swabs or trunk wash fluids of sloth bears (7 samples) and elephants (2 samples). M. tuberculosis was detected in 7 sloth bears and 2 elephants, whereas M. bovis was found in a spotted deer (Axis axis) by species-specific PCR. Conclusion The circulation of TB organisms in wild animals warrants a strict surveillance programme to identify the carrier status of these animals so that effective TB control strategies can be formulated.
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Affiliation(s)
- M Sharma
- Ph.D. Student in Pathology, Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
| | - M Karikalan
- Centre for Wildlife Conservation, Management and Disease Surveillance, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
| | - M Asok Kumar
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
| | - P Sree Lakshmi
- Ph.D. Student in Pathology, Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
| | - K Sharma
- Centre for Wildlife Conservation, Management and Disease Surveillance, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
| | - S Ilayaraja
- MSc in Microbiology, Agra Bear Rescue Centre, Wildlife SOS, Keetham-281122, Agra, Uttar Pradesh, India
| | - A Mathur
- MVSc in Surgery and Radiology, Nahargarh Biological Park, Kukas-302028, Rajasthan, India
| | - A M Pawde
- Centre for Wildlife Conservation, Management and Disease Surveillance, ICAR-Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
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Perret E, Sharma K, Tritsch S, Hufenus R. WAXD, polarized ATR-FTIR and DSC data of stress-annealed poly(3-hydroxybutyrate) fibers. Data Brief 2021; 39:107523. [PMID: 34805457 PMCID: PMC8581511 DOI: 10.1016/j.dib.2021.107523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/06/2021] [Accepted: 10/22/2021] [Indexed: 11/22/2022] Open
Abstract
This article summarizes synchrotron wide-angle x-ray diffraction (WAXD) patterns, polarized attenuated Fourier transform infrared spectroscopy (ATR-FTIR) data and differential scanning calorimetry (DSC) data of differently stress-annealed poly(3-hydroxybutyrate) (P3HB) fibers. Additionally, in-situ polarized ATR-FTIR data has been measured under tensile drawing of pre-annealed P3HB fibers under low annealing stress. Modifications to the ATR-FTIR setup and sample holders for performing measurements on P3HB fibers are explained in the experimental section. For more information see 'Reversible mesophase in stress-annealed poly(3-hydroxybutyrate) fibers: A synchrotron x-ray and polarized ATR-FTIR study' [1].
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Affiliation(s)
- E. Perret
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland
- Center for X-ray Analytics, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland
| | - K. Sharma
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland
- KTH Royal Institute of Technology, Stockholm, 114 16 Sweden
| | - S. Tritsch
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland
- Hochschule Reutlingen, Alteburgstrasse 150, 72762 Reutlingen, Germany
| | - R. Hufenus
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland
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Kumar GP, Sharma K, Ramakrishnan AG, Adarsh A. Increased Entropy of Gamma Oscillations in the Frontal Region during Meditation. Annu Int Conf IEEE Eng Med Biol Soc 2021; 2021:787-790. [PMID: 34891408 DOI: 10.1109/embc46164.2021.9629633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Meditation practices are considered mental training and have increasingly received attention from the scientific community due to their potential psychological and physical health benefits. We compared the EEG data recorded from long-term rajayoga practitioners during different meditative and non-meditative periods. Minimum variance modified fuzzy entropy (MVMFE) is computed for each EEG band for all channels of a given lobe. The means across all the channel entropy values were obtained and compared during meditative and non-meditative states. Meditators showed higher frontal entropy in the lower gamma band (25-45Hz) during the meditative states. Independent component analysis was applied to ensure that muscle or eye artifacts did not contribute to the gamma activity. Our results extend previous findings on the changes in entropy observed in long-term meditators during rajayoga practice. Gamma band in EEG is implicated in cognitive processes requiring high-level processing such as attention, learning, memory control, and retrieval. Gamma activity is also suggested as a potential biomarker for therapeutic progress in patients with clinical depression. Based on our findings, there is an excellent possibility to utilize the practice of meditation as a training tool to strengthen the neural circuits, where age-related degeneration is making its pathological impact.
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Shafi SQ, Brown S, Khaw RA, Hirniak J, Burke JR, Giwa L, Marson L, Hill A, Lobo D, Glasbey JC, McLean KA, Patel T, Liu G, Singal A, Nam R, Kathiravelupillai A, Chia WL, Ooi SZY, Matthews M, Ponniah SH, Komor J, Heyes A, Tushingham S, Hettiarachchi DS, K T, Gaier S, Jordan C, Joyce A, Johnston E, Valentine K, Nagassima K, Reis RD, O'Sullivan M, Tittawella A, Geary E, Thorpe C, Jalal AHB, Georgi M, Mergo A, Ramsay E, Sheikh J, Ashok A, Lee KS, Risquet R, Kathiravelupillai S, Chia D, Al Majid S, Matloob Ahmad AE, Hounat A, Shafi S, Wang J, Cambridge WA, Kawar L, Maseland T, Sharma K, Moses J, Patsalides MA, Brown S, Jaffer A, Feeney K, Richardson G, Joseph JP, Argus L, Sara X, Antypas A, de Andres Crespo M, Daly E, Abraha S. Medical student engagement with surgery and research during the COVID-19 pandemic: Supporting the future workforce for post-pandemic surgical recovery. Int J Surg 2021; 95:106105. [PMID: 34597820 PMCID: PMC8479464 DOI: 10.1016/j.ijsu.2021.106105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 09/01/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Shiraz Q Shafi
- University of Dundee, United Kingdom University of Leicester, United Kingdom Newcastle University, United Kingdom St George's, University of London, United Kingdom University of Leeds, United Kingdom Queen Victoria Hospital NHS Foundation Trust, United Kingdom University of Edinburgh, United Kingdom Royal College of Surgeons in Ireland, Ireland University of Nottingham, United Kingdom University of Birmingham, United Kingdom Anglia Ruskin University, United Kingdom Aston University, United Kingdom Brighton and Sussex Medical School, United Kingdom Cardiff University, United Kingdom Hull-York Medical School, United Kingdom Imperial College London, United Kingdom Keele University, United Kingdom Queen Mary University of London, United Kingdom Queen's University Belfast, United Kingdom Trinity College Dublin, Ireland University College Cork, Ireland University College Dublin, Ireland University College London, United Kingdom University of Aberdeen, United Kingdom University of Bristol, United Kingdom University of Buckingham, United Kingdom University of Cambridge, United Kingdom University of Central Lancashire, United Kingdom University of Glasgow, United Kingdom University of Limerick, Ireland University of Liverpool, United Kingdom University of Manchester, United Kingdom University of Oxford, United Kingdom University of Warwick, United Kingdom
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Abstract
Phonemes are classified into different categories based on the place and manner of articulation. We investigate the differences between the neural correlates of imagined nasal and bilabial consonants (distinct phonological categories). Mean phase coherence is used as a metric for measuring the phase synchronisation between pairs of electrodes in six cortical regions (auditory, motor, prefrontal, sensorimotor, so-matosensory and premotor) during the imagery of nasal and bilabial consonants. Statistically significant difference at 95% confidence interval is observed in beta and lower-gamma bands in various cortical regions. Our observations are inline with the directions into velocities of articulators and dual stream prediction models and support the hypothesis that phonological categories not only exist in articulated speech but can also be distinguished from the EEG of imagined speech.
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Sharma K, Braun O, Tritsch S, Muff R, Hufenus R, Perret E. 2D Raman, ATR-FTIR, WAXD, SAXS and DSC data of PET mono- and PET/PA6 bicomponent filaments. Data Brief 2021; 38:107416. [PMID: 34632014 PMCID: PMC8488250 DOI: 10.1016/j.dib.2021.107416] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/06/2021] [Accepted: 09/20/2021] [Indexed: 10/26/2022] Open
Abstract
This data in brief article summarizes structural data obtained from monocomponent melt-spun and offline drawn poly(ethylene terephthalate) (PET) monofilaments, as well as from melt-spun bicomponent core-sheath PET-polyamide 6 (PA6) filaments. The diameters of the single filaments range from 27 µm to 79 µm. Presented analysis techniques and results thereof are (i) Raman mapping of filament cross-sections: 2D maps of peak positions, widths, peak area ratios; (ii) attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR): ATR-FTIR spectra and extraction of surface crystallinity; (iii) wide-angle x-ray diffraction (WAXD): WAXD patterns and extraction of average crystallinity; (iv) small-angle x-ray scattering (SAXS): SAXS patterns and determined crystallite sizes and long-spacings; (v) differential scanning calorimetry (DSC): thermograms and extracted average crystallinity as well as thermal properties; (vi) atomic force microscopy (AFM): AFM image of the surface of an embedded fiber cross-section. For more information, see the publication by E. Perret et al. 'High-resolution 2D Raman mapping of mono- and bicomponent filament cross-sections' [1].
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Affiliation(s)
- K Sharma
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen 9014, Switzerland.,KTH Royal Institute of Technology, Stockholm 114 16 Sweden
| | - O Braun
- Transport at Nanoscale Interfaces Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf 8600, Switzerland.,Department of Physics, University of Basel, Klingelbergstrasse 82, Basel 4056, Switzerland
| | - S Tritsch
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen 9014, Switzerland.,Hochschule Reutlingen, Alteburgstrasse 150, Reutlingen 72762, Germany
| | - R Muff
- Transport at Nanoscale Interfaces Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf 8600, Switzerland
| | - R Hufenus
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen 9014, Switzerland
| | - E Perret
- Laboratory for Advanced Fibers, Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstrasse 5, St. Gallen 9014, Switzerland.,Center for X-ray Analytics, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf 8600, Switzerland
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Rogg J, Ben Ma Z, Pandya M, Wu S, Sharma K. 284 An Analysis of a Novel Telemedicine Intervention to Decrease Emergency Department Visits in a County Hospital System. Ann Emerg Med 2021. [DOI: 10.1016/j.annemergmed.2021.09.297] [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: 10/20/2022]
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Lau S, Elliott M, Rabinovitch A, Makarem M, Kuang S, Schmid S, Sharma K, Lee J, Mackay K, Wong S, Wang B, Ohashi P, Tsao M, Shepherd F, Bradbury P, Liu G, Leighl N, McGaha T, Sacher A. 1298P PD-1 inhibitors combined with chemotherapy may preferentially improve survival in metastatic NSCLC with myeloid-mediated primary resistance to immunotherapy. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1900] [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: 11/26/2022] Open
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Aminian M, Ghosh T, Peterson A, Rasmussen AL, Stiverson S, Sharma K, Kirby M. Early prognosis of respiratory virus shedding in humans. Sci Rep 2021; 11:17193. [PMID: 34433834 PMCID: PMC8387366 DOI: 10.1038/s41598-021-95293-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 07/28/2020] [Accepted: 07/23/2021] [Indexed: 11/24/2022] Open
Abstract
This paper addresses the development of predictive models for distinguishing pre-symptomatic infections from uninfected individuals. Our machine learning experiments are conducted on publicly available challenge studies that collected whole-blood transcriptomics data from individuals infected with HRV, RSV, H1N1, and H3N2. We address the problem of identifying discriminatory biomarkers between controls and eventual shedders in the first 32 h post-infection. Our exploratory analysis shows that the most discriminatory biomarkers exhibit a strong dependence on time over the course of the human response to infection. We visualize the feature sets to provide evidence of the rapid evolution of the gene expression profiles. To quantify this observation, we partition the data in the first 32 h into four equal time windows of 8 h each and identify all discriminatory biomarkers using sparsity-promoting classifiers and Iterated Feature Removal. We then perform a comparative machine learning classification analysis using linear support vector machines, artificial neural networks and Centroid-Encoder. We present a range of experiments on different groupings of the diseases to demonstrate the robustness of the resulting models.
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Affiliation(s)
- M Aminian
- Department of Mathematics and Statistics, California State Polytechnic University, Pomona, CA, USA
| | - T Ghosh
- Department of Computer Science, Colorado State University, Fort Collins, CO, 80524, USA
| | - A Peterson
- Department of Mathematics, Colorado State University, Fort Collins, CO, 80524, USA
| | - A L Rasmussen
- Vaccine and Infectious Disease Organization-International Vaccine Centre (VIDO-InterVac), University of Saskatchewan, Saskatoon, SK, Canada.,Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA
| | - S Stiverson
- Department of Mathematics, Colorado State University, Fort Collins, CO, 80524, USA
| | - K Sharma
- Department of Computer Science, Colorado State University, Fort Collins, CO, 80524, USA
| | - M Kirby
- Department of Mathematics, Colorado State University, Fort Collins, CO, 80524, USA. .,Department of Computer Science, Colorado State University, Fort Collins, CO, 80524, USA.
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Alhummiany BA, Shelley D, Saysell M, Olaru MA, Kühn B, Buckley DL, Bailey J, Wroe K, Coupland C, Mansfield MW, Sourbron SP, Sharma K. Bias and Precision in Magnetic Resonance Imaging-Based Estimates of Renal Blood Flow: Assessment by Triangulation. J Magn Reson Imaging 2021; 55:1241-1250. [PMID: 34397124 DOI: 10.1002/jmri.27888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/31/2021] [Accepted: 08/03/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Renal blood flow (RBF) can be measured with dynamic contrast enhanced-MRI (DCE-MRI) and arterial spin labeling (ASL). Unfortunately, individual estimates from both methods vary and reference-standard methods are not available. A potential solution is to include a third, arbitrating MRI method in the comparison. PURPOSE To compare RBF estimates between ASL, DCE, and phase contrast (PC)-MRI. STUDY TYPE Prospective. POPULATION Twenty-five patients with type-2 diabetes (36% female) and five healthy volunteers (HV, 80% female). FIELD STRENGTH/SEQUENCES A 3 T; gradient-echo 2D-DCE, pseudo-continuous ASL (pCASL) and cine 2D-PC. ASSESSMENT ASL, DCE, and PC were acquired once in all patients. ASL and PC were acquired four times in each HV. RBF was estimated and split-RBF was derived as (right kidney RBF)/total RBF. Repeatability error (RE) was calculated for each HV, RE = 1.96 × SD, where SD is the standard deviation of repeat scans. STATISTICAL TESTS Paired t-tests and one-way analysis of variance (ANOVA) were used for statistical analysis. The 95% confidence interval (CI) for difference between ASL/PC and DCE/PC was assessed using two-sample F-test for variances. Statistical significance level was P < 0.05. Influential outliers were assessed with Cook's distance (Di > 1) and results with outliers removed were presented. RESULTS In patients, the mean RBF (mL/min/1.73m2 ) was 618 ± 62 (PC), 526 ± 91 (ASL), and 569 ± 110 (DCE). Differences between measurements were not significant (P = 0.28). Intrasubject agreement was poor for RBF with limits-of-agreement (mL/min/1.73m2 ) [-687, 772] DCE-ASL, [-482, 580] PC-DCE, and [-277, 460] PC-ASL. The difference PC-ASL was significantly smaller than PC-DCE, but this was driven by a single-DCE outlier (P = 0.31, after removing outlier). The difference in split-RBF was comparatively small. In HVs, mean RE (±95% CI; mL/min/1.73 m2 ) was significantly smaller for PC (79 ± 41) than for ASL (241 ± 85). CONCLUSIONS ASL, DCE, and PC RBF show poor agreement in individual subjects but agree well on average. Triangulation with PC suggests that the accuracy of ASL and DCE is comparable. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
| | - David Shelley
- Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.,Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Margaret Saysell
- Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.,Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | - Bernd Kühn
- Siemens Healthcare GmbH, Erlangen, Germany
| | - David L Buckley
- Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | | | - Kelly Wroe
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | | | - Steven P Sourbron
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
| | - Kanishka Sharma
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
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Sharma K, Sharma M, Modi M, Singla N, Sharma A, Sharma A, Sharma N, Ray P. Comparative analysis of Truenat™ MTB Plus and Xpert ® Ultra in diagnosing tuberculous meningitis. Int J Tuberc Lung Dis 2021; 25:626-631. [PMID: 34330347 DOI: 10.5588/ijtld.21.0156] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Diagnostic delay and drug resistance not only worsen the outcomes of tuberculous meningitis (TBM), but are also important impediments to TB elimination efforts. Given the need for a near point-of-care test suitable for primary healthcare centres and simultaneous detection of resistance, Truenat™ MTB Plus assay was evaluated on a large cohort of TBM patients.METHODS: Truenat assay was performed on 148 cerebrospinal fluid specimens (76 definite TBM, 32 probable TBM and 40 non-TBM controls) and its performance was compared with Xpert® Ultra.RESULTS: The overall sensitivity of Truenat and Ultra was respectively 78.7% and 67.6% in diagnosing TBM, and respectively 85.5% and 96% in diagnosing definite TBM. Twenty-three additional cases were detected using Truenat and 11 using Ultra. Truenat missed seven cases of rifampicin (RIF) resistance and indicated false RIF resistance in four cases.CONCLUSION: Performance of Truenat was comparable to that of Ultra in diagnosing TBM and inferior to Xpert Ultra in determining RIF resistance.
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Affiliation(s)
- K Sharma
- Department of Microbiology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - M Sharma
- Department of Microbiology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India, Department of Microbiology, All India Institute of Medical Sciences, Bilaspur, India
| | - M Modi
- Department of Neurology, Chandigarh, India
| | - N Singla
- Department of Internal MedicineChandigarh, India
| | - A Sharma
- Department of Neurology, Chandigarh, India
| | - A Sharma
- Department of Internal MedicineChandigarh, India
| | - N Sharma
- Department of Emergency Medicine, PGIMER, Chandigarh, India
| | - P Ray
- Department of Microbiology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
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Freguia S, Sharma K, Benichou O, Mulliss M, Shon HK. Sustainable engineering of sewers and sewage treatment plants for scenarios with urine diversion. J Hazard Mater 2021; 415:125609. [PMID: 33721777 DOI: 10.1016/j.jhazmat.2021.125609] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 10/07/2020] [Revised: 02/17/2021] [Accepted: 03/05/2021] [Indexed: 06/12/2023]
Abstract
Urine diversion (UD) has been studied for decades as a way to enable distributed sanitation and to recycle nutrients onto land to fuel circular economies. No study to date has attempted a quantitative technical and economic analysis of the downstream effects of UD on sewage transport and treatment. This work used the SeweX model to reveal for the first time that through UD, hydrogen sulfide concentration in sewer headspaces can be reduced, and consequently sewer corrosion can be reduced. For a long rising main of 5 km, sewer headspace H2S can be reduced from 280 ppm to 200 ppm by diverting 75% of the urine. The same scenario enables the reduction of sewer corrosion from 12 to 10 mm/yr. Modeling sewage treatment plants with BioWin showed that sewage treatment responds to UD with a sharp reduction of the anoxic volume and a decrease of energy requirement by up to 50% at 75% UD. An upgrade of bioreactors to increase capacity by 20% can be completely avoided if 7% of the catchment's urine is diverted. Reductions in upgrade expenditure by up to 75% can provide the economic incentive for the uptake of UD.
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Affiliation(s)
- S Freguia
- Department of Chemical Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
| | - K Sharma
- Advanced Water Management Centre, The University of Queensland, QLD 4072, Australia
| | - O Benichou
- Jacobs Engineering, Level 7, 32 Cordelia Street, South Brisbane, QLD 4101, Australia
| | - M Mulliss
- Urban Utilities, Level 2, 15 Green Square Close, Fortitude Valley, 4006 QLD, Australia
| | - H K Shon
- School of Civil and Environmental Engineering, University of Technology, Sydney (UTS), City Campus, Broadway, NSW 2007, Australia
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Perret E, Braun O, Sharma K, Tritsch S, Muff R, Hufenus R. High-resolution 2D Raman mapping of mono- and bicomponent filament cross-sections. POLYMER 2021. [DOI: 10.1016/j.polymer.2021.124011] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Briggs SB, Ware CB, Sharma K, Davis SC, Lalumiere RT, Parent MB. Postmeal optogenetic inhibition of dorsal hippocampal principal neurons increases future intake in a time-dependent manner. Neurobiol Learn Mem 2021; 183:107478. [PMID: 34116139 DOI: 10.1016/j.nlm.2021.107478] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/21/2021] [Accepted: 06/05/2021] [Indexed: 10/21/2022]
Abstract
Research involving human participants indicates that memories of recently eaten meals limit how much is eaten during subsequent eating episodes; yet, the brain regions that mediate the inhibitory effects of ingestion-related memory on future intake are largely unknown. We hypothesize that dorsal hippocampal (dHC) neurons, which are critical for episodic memories of personal experiences, mediate the inhibitory effects of ingestion-related memory on future intake. Our research program aimed at testing this hypothesis has been influenced in large part by our mentor James McGaugh and his research on posttraining manipulations. In the present study, we used an activity-guided optogenetic approach to test the prediction that if dHC glutamatergic neurons limit future intake through a process that requires memory consolidation, then inhibition should increase subsequent intake when given soon after the end of a meal but delayed inhibition should have no effect. Viral vectors containing CaMKIIα-eArchT3.0-eYFP and fiber optic probes were placed in the dHC of male Sprague-Dawley rats. Compared to intake on a day when no inhibition was given, postmeal inhibition of dHC glutamatergic neurons given for 10 min after the end of a saccharin meal increased the likelihood that rats would consume a second meal 90 min later and significantly increased the amount of saccharin solution consumed during that next meal when the neurons were no longer inhibited. Importantly, delayed inhibition given 80 min after the end of the saccharin meal did not affect subsequent intake of saccharin. Given that saccharin has minimal postingestive gastric consequences, these effects are not likely due to the timing of interoceptive visceral cues generated by the meal. These data show that dHC glutamatergic neural activity is necessary during the early postprandial period for limiting future intake and suggest that these neurons inhibit future intake by consolidating the memory of the preceding meal.
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Affiliation(s)
- S B Briggs
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA
| | - C B Ware
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA
| | - K Sharma
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA
| | - S C Davis
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA
| | - R T Lalumiere
- Department of Psychological and Brain Sciences and Iowa Neuroscience Institute, University of Iowa, Iowa City, IA 52242, USA
| | - M B Parent
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30303, USA; Department of Psychology, Georgia State University, Atlanta, GA, 30303, USA
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Mayo M, Karnik R, Klaus C, Sharma K, McDonald A, Walker DH, Weiss M. KT‐413, A NOVEL IRAKIMID DEGRADER OF IRAK4 AND IMID SUBSTRATES, HAS A DIFFERENTIATED MOA THAT LEADS TO SINGLE‐AGENT AND COMBINATION REGRESSIONS IN MYD88
MT
LYMPHOMA MODELS. Hematol Oncol 2021. [DOI: 10.1002/hon.13_2879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- M Mayo
- Kymera Therapeutics, Research Watertown Massachusetts USA
| | - R Karnik
- Kymera Therapeutics, Research Watertown Massachusetts USA
| | - C Klaus
- Kymera Therapeutics, Research Watertown Massachusetts USA
| | - K Sharma
- Kymera Therapeutics, Research Watertown Massachusetts USA
| | - A McDonald
- Kymera Therapeutics, Research Watertown Massachusetts USA
| | - D. H Walker
- Kymera Therapeutics, Research Watertown Massachusetts USA
| | - M Weiss
- Kymera Therapeutics, Research Watertown Massachusetts USA
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Odonjavkhlan C, Alexsander J, Mishra C, Samelius G, Sharma K, Lkhagvajav P, Suryawanshi K. Factors affecting the spatial distribution and co‐occurrence of two sympatric mountain ungulates in southern Mongolia. J Zool (1987) 2021. [DOI: 10.1111/jzo.12889] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- C. Odonjavkhlan
- Post‐Graduate Program in Wildlife Biology and Conservation Wildlife Conservation Society—India National Centre for Biological Sciences Bangalore
- Snow Leopard Conservation Foundation Ulaanbaatar Mongolia
| | | | - C. Mishra
- Snow leopard Trust Seattle WA United States
- Nature Conservation Foundation Mysore India
| | | | - K. Sharma
- Snow leopard Trust Seattle WA United States
- Nature Conservation Foundation Mysore India
| | - P. Lkhagvajav
- Snow Leopard Conservation Foundation Ulaanbaatar Mongolia
- Snow leopard Trust Seattle WA United States
| | - K.R. Suryawanshi
- Snow leopard Trust Seattle WA United States
- Nature Conservation Foundation Mysore India
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Gowda N, Gutti S, Iyer D, Nguyen T, Sharma K, Scher D. Abstract No. 505 Validating the registration accuracy of a multimodal registration device to enhance computed tomography–guided percutaneous biopsy and ablation procedures. J Vasc Interv Radiol 2021. [DOI: 10.1016/j.jvir.2021.03.314] [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: 11/17/2022] Open
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Aslam M, Minhas A, Ghorbani A, Shade J, Jani V, Hsu S, Sharma K, Cihakova D, Hays A, Gilotra N. Natriuretic Peptide Levels and Clinical Outcomes among Patients Hospitalized with COVID-19 Infection. J Heart Lung Transplant 2021. [PMCID: PMC7979424 DOI: 10.1016/j.healun.2021.01.606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose There is increasing evidence of adverse cardiovascular morbidity associated with SARS-CoV-2 (COVID-19). Pro-B-type natriuretic peptide (proBNP) is a biomarker of myocardial stress associated with outcomes in various respiratory and cardiac diseases. We hypothesized that proBNP level would be associated with mortality and clinical outcomes in hospitalized COVID-19 patients. Methods We performed a retrospective analysis of hospitalized COVID-19 patients (n=1232) using adjusted logistic and linear regression to assess the association of admission proBNP (analyzed by both categorical cutoff >125 pg/mL and continuous log transformed proBNP) with clinical outcomes. Covariates included age, sex, race, body mass index (BMI), hypertension, coronary artery disease (CAD), diabetes, smoking history, and chronic kidney disease stage (Model 1), with Troponin I added in Model 2. We performed survival analysis by a multivariate Cox proportional hazard model, incorporating log transformed proBNP. We additionally treated BMI, a strong potential confounder of both proBNP levels and COVID-19 outcomes, as an ordinal variable ordered across tertiles. Results Patients were mean age 62.9±17.6, 53.8% male, and 35.9% Black. Preadmission comorbidities were hypertension (57.1%), diabetes (31.6%), CAD (9.0%) and heart failure (HF, 10.6%). In Model 1 and 2, higher proBNP level was significantly associated with death, new HF, length of stay, ICU duration and need for ventilation among hospitalized COVID-19 patients. This significance persisted after ordinal compression of BMI across tertiles. The adjusted hazard ratio of death for log[proBNP] was 1.56 (95% CI: 1.23-1.97; P<0.0001). Conclusion Using a relatively large and racially diverse hospitalized COVID-19 patient cohort, we find that proBNP is associated with adverse clinical outcomes, including mortality and new HF in COVID-19. Further prospective investigation is warranted on the utility of proBNP for clinical prognostication in COVID-19.
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McGoldrick M, Barbur I, Etchill E, Giuliano K, Hsu S, Sharma K, Kilic A, Choi C. Impact of Pre-Transplant ECMO Duration on Heart Transplant Survival. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.1946] [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: 10/21/2022] Open
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Sharma S, Sharma N, Sharma K. POS-416 TREATING HCV INFECTION IN CHRONIC KIDNEY DISEASE IN DEVELOPING COUNTRY: OUR EXPERIENCE WITH LIMITED RESOURCES. Kidney Int Rep 2021. [DOI: 10.1016/j.ekir.2021.03.438] [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: 11/29/2022] Open
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Hahn V, Ghorbani A, Hsu S, Lewsey S, Sharma K, Wittstein I, Freed K, Sweren R, Handler J, Wagner-Johnston N, Sperati C, Chrispin J, Wake L, Halushka M, Kilic A, Gilotra N. Myocarditis as a Manifestation of a T Cell Lymphoproliferative Disorder in a Patient Undergoing Left Ventricular Assistance Device Implantation. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.2102] [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: 11/24/2022] Open
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Liu L, Milkova N, Ali M, Sharma K, Huizinga JD, Chen J. A35 ASSOCIATIONS BETWEEN AUTONOMIC DYSFUNCTION, COLONIC DYSMOTILITY AND ABSENT DEFECATION REFLEXES IN PATIENTS WITH CHRONIC REFRACTORY CONSTIPATION. J Can Assoc Gastroenterol 2021. [DOI: 10.1093/jcag/gwab002.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
A defecation reflex involves sensory information from the colon sent to the central nervous system which results in propulsive motor patterns in the colon through programmed neural activity from the autonomic nervous system. Neurological causes of constipation are recognized but specific neurological pathways that contribute to pathophysiology of the disease is underexplored. Diagnosis and treatment usually do not involve the autonomic nervous system.
Aims
Our objective was to assess autonomic dysfunction and abnormal defecation reflexes as a possible cause of chronic constipation.
Methods
Defecation reflexes were assessed by high-resolution colonic manometry through balloon distention, meal intake, and rectal bisacodyl. Specific heart rate variability (HRV) parameters were used to assess general orthostatic autonomic reactivity, and autonomic functioning during high resolution colonic manometry, in 14 patients with chronic refractory constipation considered for surgery.
Results
All patients had a unique combination of motility, reflex ability and HRV profiles. Patients overall did not generate HAPWs or had lower HAPW amplitude and lower propulsive activity compared to healthy individuals. Half of the 14 patients were tested to have high sympathetic tone based on Baevsky’s stress index prior to HRCM, and 11 of the patients had sympathetic hyper-reactivity and/or low parasympathetic reactivity to at least one type of colonic stimulation during HRCM. Abnormal autonomic tone or autonomic reactivity to colonic stimulation was present in all four patients with absence of the vagosacral defecation reflex. Five of the seven patients with absence of the sacral defecation reflex showed high sympathetic tone or high sympathetic reactivity to stimulation. Only two patients had abnormality in coloanal coordination and this was associated with low parasympathetic reactivity to stimulation in both patients.
Conclusions
The assumption that colonic resection was needed to remove an inert colon was wrong in most patients, but most patients had some form of reflex abnormality. Sympathetic dominance far outweighed parasympathetic dysfunction. Incorporation of assessments of defecation reflexes and autonomic nervous system activity into diagnosis of chronic refractory constipation provides a comprehensive pathophysiological understanding of specific defective neurological pathways contributing to dysmotility. This forms the basis for our individualized treatment efforts through sacral neuromodulation.
Funding Agencies
CIHR
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Affiliation(s)
- L Liu
- Medicine, McMaster University Faculty of Health Sciences, Burlington, ON, Canada
| | - N Milkova
- Medicine, McMaster University Faculty of Health Sciences, Burlington, ON, Canada
| | - M Ali
- Medicine, McMaster University Faculty of Health Sciences, Burlington, ON, Canada
| | - K Sharma
- Medicine, McMaster University Faculty of Health Sciences, Burlington, ON, Canada
| | - J D Huizinga
- Medicine, McMaster University Faculty of Health Sciences, Burlington, ON, Canada
| | - J Chen
- Medicine, McMaster University Faculty of Health Sciences, Burlington, ON, Canada
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Sharma K, Sharma R. Low-voltage low-noise gate driven quasi-floating bulk self-cascode current mirror operational transconductance amplifier. Rev Sci Instrum 2021; 92:034717. [PMID: 33820027 DOI: 10.1063/5.0038939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 02/24/2021] [Indexed: 06/12/2023]
Abstract
A gate driven quasi-floating bulk self-cascode current mirror operational transconductance amplifier operable at ±0.9 V supply voltage with DC gain (70 dB), gain bandwidth (250 kHz), noise (2.8 µV/√Hz at 1 Hz), and power consumption (2.96 µW) simulated in 0.18 µm technology has been introduced. Results obtained are superior in comparison to gate driven self-cascode current mirror and regular current mirror OTAs, which can be utilized to improve the performance of analog-mixed signal circuits and systems.
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Affiliation(s)
- K Sharma
- Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India
| | - R Sharma
- Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India
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Sharma K, Deo G, Timalsina S, Joshi A, Shrestha N, Neupane HC. Online Learning in the Face of COVID-19 Pandemic: Assessment of Students' Satisfaction at Chitwan Medical College of Nepal. Kathmandu Univ Med J (KUMJ) 2021; 18:40-47. [PMID: 33605237] [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: 06/12/2023]
Abstract
Background Online learning can play a vital role in the process of teaching and learning during Corona Virus Disease 2019 (COVID-19) pandemic. However, learners' satisfaction is extremely important in effective implementation of the online learning, especially at institutions where it is newly adopted. Objective To assess satisfaction towards online learning and its predictors among students at Chitwan Medical College, Bharatpur. Method A web-based cross-sectional survey was undertaken among 434 undergraduate and postgraduate students from various academic programs who had participated in the online classes started during this COVID-19 pandemic. A structured questionnaire consisting of 31 items (5-point Likert scale) covering four major student satisfaction domains (learners' dimensions, technological characteristics, instructors' characteristics and course management and coordination) was distributed to the students using Google Form. Result More than half (53.5%) of the students were satisfied with the online learning, while 29.7% gave neutral views. Bivariate analyses found that all four domains scores were positively correlated with each other as well as with the students' overall satisfaction towards learning. In multivariate analysis, female gender [aOR: 2.72, p = 0.013], WiFi as internet modality for learning [aOR: 3.36, p = 0.001) and learners' dimension score [aOR: 1.27, p<0.001] were the significant predictors of students' satisfaction. Conclusion Although recently adopted, the satisfaction of the students towards online classes appears good, and prioritizing the identified predictors and working on the weak links could assist in enhancing students' satisfaction and better outcomes.
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Affiliation(s)
- K Sharma
- School of Nursing, Chitwan Medical College, Bharatpur, Nepal
| | - G Deo
- Department of Anesthesia, Chitwan Medical College, Bharatpur, Nepal
| | - S Timalsina
- Research Unit, Chitwan Medical College, Bharatpur, Nepal
| | - A Joshi
- School of Nursing, Chitwan Medical College, Bharatpur, Nepal
| | - N Shrestha
- Department of Community Medicine, Chitwan Medical College, Bharatpur, Nepal
| | - H C Neupane
- Department of Surgery, Chitwan Medical College, Bharatpur, Nepal
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Cucca A, Mania D, Sharma K, Acosta I, Berberian M, Beheshti M, Biagioni M, Droby A, Di Rocco A, Ghilardi M, Inglese M, Rizzo J, Feigin A. Neural correlates of visuospatial dysfunction in Parkinson's Disease: A multimodal biomarker study. Parkinsonism Relat Disord 2020. [DOI: 10.1016/j.parkreldis.2020.06.163] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Sharma A, Saldanha S, Lokanatha D, Jacob L, Sureshbabu M, Lokesh K, Rudresha A, Rajeev L, Sharma K. 1854P A randomized-controlled trial to evaluate the effect of reduced dose olanzapine on nausea/vomiting and addition of aprepitant on vomiting in patients receiving highly emetogenic chemotherapy. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1501] [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: 11/28/2022] Open
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