1
|
Li W, Malhotra R, Wu S, Jha M, Rodrigo A, Poss M, Acharya R. ViPRA-Haplo: De Novo Reconstruction of Viral Populations Using Paired End Sequencing Data. IEEE/ACM Trans Comput Biol Bioinform 2024; PP:1-9. [PMID: 38451771 DOI: 10.1109/tcbb.2024.3374595] [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] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
We present ViPRA-Haplo, a de novo strain-specific assembly workflow for reconstructing viral haplotypes in a viral population from paired-end next generation sequencing (NGS) data. The proposed Viral Path Reconstruction Algorithm (ViPRA) generates a subset of paths from a De Bruijn graph of reads using the pairing information of reads. The paths generated by ViPRA are an over-estimation of the true contigs. We propose two refinement methods to obtain an optimal set of contigs representing viral haplotypes. The first method clusters paths reconstructed by ViPRA using VSEARCH [1] based on sequence similarity, while the second method, MLEHaplo, generates a maximum likelihood estimate of viral populations. We evaluated our pipeline on both simulated and real viral quasispecies data from HIV (and real data from SARS-COV-2). Experimental results show that ViPRA-Haplo, although still an overestimation in the number of true contigs, outperforms the existing tool, PEHaplo, providing up to 9% better genome coverage on HIV real data. In addition, ViPRA-Haplo also retains higher diversity of the viral population as demonstrated by the presence of a higher percentage of contigs less than 1000 base pairs (bps), which also contain k-mers with counts less than 100 (representing rarer sequences), which are absent in PEHaplo. For SARS-CoV-2 sequencing data, ViPRA-Haplo reconstructs contigs that cover more than 90% of the reference genome and were able to validate known SARS-CoV-2 strains in the sequencing data.
Collapse
|
2
|
Zhu G, Xiong S, Malhotra R, Chen X, Gong E, Wang Z, Østbye T, Yan LL. Individual perceptions of community efficacy for non-communicable disease management in twelve communities in China: cross-sectional and longitudinal analyses. Public Health 2024; 226:207-214. [PMID: 38086102 DOI: 10.1016/j.puhe.2023.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 05/12/2023] [Revised: 10/08/2023] [Accepted: 11/06/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVES This objective of this study was to use empirical data to assess cross-sectional variation singular and changes over time in community efficacy for non-communicable diseases (NCDs) management (COEN) and to examine individual factors associated with changes in COEN. STUDY DESIGN This was a longitudinal observational study. METHODS Participants with hypertension and diabetes were randomly selected from 12 communities from three cities in eastern China, and a baseline survey and a 1-year follow-up were conducted. The COEN scale has five dimensions: community physical environment (CPE), behavioral risk factors (BRF), mental health and social relationships (MHSR), community health management (CHM), and community organisations and activities (COA). Mixed-effects models were used to investigate the change in COEN over time and the association between individual factors and changes in COEN. RESULTS COEN scores showed significant variation singular among the 12 communities (P < 0.001) at the baseline. In the mixed-effects model, CPE (β coefficient: 1.62, P < 0.001), BRF (0.90, P < 0.001), MHSR (0.86, P < 0.001), CHM (0.46, P < 0.001), and total scores (β = 3.57, P < 0.001) increased significantly over time. The changes in COEN were associated with individual characteristics (e.g., older, men, more educated). CONCLUSIONS Cross-sectional variations and changes over time in COEN demonstrated the utility of a sensitive instrument. Factors such as age, gender, marriage, education level, and employment may affect the financial and social resources assignment for NCD management. Our findings suggest that further high-quality studies are needed to better evaluate the effect of community empowerment on the prevention and control of NCDs.
Collapse
Affiliation(s)
- G Zhu
- School of Public Health, Wuhan University, Wuhan, Hubei, China; Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - S Xiong
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - R Malhotra
- Health Services and Systems Research, Duke-NUS Medical School, Singapore; Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore; SingHealth, Duke-NUS Global Health Institute Medical School, Singapore
| | - X Chen
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - E Gong
- School of Population Medicine and Public Health, China Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Z Wang
- Department of Agricultural Economics, College of Agriculture, Purdue University, West Lafayette, USA
| | - T Østbye
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Health Services and Systems Research, Duke-NUS Medical School, Singapore; Duke Global Health Institute, Duke University, Durham, NC, USA
| | - L L Yan
- School of Public Health, Wuhan University, Wuhan, Hubei, China; Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Duke Global Health Institute, Duke University, Durham, NC, USA.
| |
Collapse
|
3
|
Hardy TA, Aouad P, Barnett MH, Blum S, Broadley S, Carroll WM, Crimmins D, Griffiths D, Hodgkinson S, Lechner-Scott J, Lee A, Malhotra R, McCombe P, Parratt J, Plummer C, Van der Walt A, Martel K, Walker RA. Onboarding of siponimod in secondary progressive multiple sclerosis patients in Australia: Novel, real-world evidence from the MSGo digital support programme. Mult Scler J Exp Transl Clin 2024; 10:20552173231226106. [PMID: 38222025 PMCID: PMC10787529 DOI: 10.1177/20552173231226106] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/26/2023] [Indexed: 01/16/2024] Open
Abstract
Background Siponimod is approved for use in people with secondary progressive multiple sclerosis (pwSPMS). An integrated digital platform, MSGo, was developed for pwSPMS and clinicians to help navigate the multiple steps of the pre-siponimod work-up. Objective To explore real-world onboarding experiences of siponimod amongst pwSPMS in Australia. Methods Retrospective, non-interventional, longitudinal, secondary analysis of data extracted from MSGo (20 April 2022). The primary endpoint was the average time for siponimod onboarding; secondary endpoints were adherence and sub-group analyses of variables influencing onboarding. Results Mixed-cure modelling estimated that 58% of participants (N = 368, females 71%, median age of 59 years) registered in MSGo would ever initiate siponimod. The median time to initiation was 56 days (95% CI [47-59] days). Half of the participants cited 'waiting for vaccination' as the reason for initiation delay. Cox regression analyses found participants with a nominated care partner had faster onboarding (HR 2.1, 95% CI [1.5-3.0]) and were more likely to continue self-reporting daily siponimod dosing than were those without a care partner (HR 2.2, 95% CI [1.3-3.7]). Conclusions Despite the limitations of self-reported data and the challenges of the COVID-19 pandemic, this study provides insights into siponimod onboarding in Australia and demonstrates the positive impact of care partner support.
Collapse
Affiliation(s)
- TA Hardy
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - P Aouad
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - MH Barnett
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - S Blum
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - S Broadley
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - WM Carroll
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - D Crimmins
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - D Griffiths
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - S Hodgkinson
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - J Lechner-Scott
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - A Lee
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - R Malhotra
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - P McCombe
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - J Parratt
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - C Plummer
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - A Van der Walt
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - K Martel
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| | - RA Walker
- Novartis Pharmaceuticals Australia, Macquarie Park, NSW, Australia
| |
Collapse
|
4
|
Cahyanto A, Rath P, Teo TX, Tong SS, Malhotra R, Cavalcanti BN, Lim LZ, Min KS, Ho D, Lu WF, Rosa V. Designing Calcium Silicate Cements with On-Demand Properties for Precision Endodontics. J Dent Res 2023; 102:1425-1433. [PMID: 37861249 DOI: 10.1177/00220345231198185] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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] [Indexed: 10/21/2023] Open
Abstract
Calcium silicate (C3S) cements are available in kits that do not account for patients' specific needs or clinicians' preferences regarding setting time, radiopacity, mechanical, and handling properties. Moreover, slight variations in powder components and liquid content affect cement's properties and bioactivity. Unfortunately, it is virtually impossible to optimize several cement properties simultaneously via the traditional "one variable at a time" strategy, as inputs often induce trade-offs in properties (e.g., a higher water-to-powder ratio [W/P] increases flowability but decreases mechanical properties). Herein, we used Taguchi's methods and genetic algorithms (GAs) to simultaneously analyze the effect of multiple inputs (e.g., powder composition, radiopacifier concentration, and W/P) on setting time, pH, flowability, diametral tensile strength, and radiopacity, as well as prescribe recipes to produce cements with predicted properties. The properties of cements designed with GAs were experimentally tested, and the results matched the predictions. Finally, we show that the cements increased the genetic expression of odonto/osteogenic genes, alkaline phosphatase activity, and mineralization potential of dental pulp stem cells. Hence, GAs can produce cements with tailor-made properties and differentiation potential for personalized endodontic treatment.
Collapse
Affiliation(s)
- A Cahyanto
- Department of Restorative Dentistry, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
- Department of Dental Materials Science and Technology, Faculty of Dentistry, Padjadjaran University, Bandung, Indonesia
| | - P Rath
- Faculty of Dentistry, National University of Singapore, Singapore
| | - T X Teo
- Department of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore
| | - S S Tong
- Department of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore
| | - R Malhotra
- Faculty of Dentistry, National University of Singapore, Singapore
| | - B N Cavalcanti
- Department of Cariology, Restorative Sciences and Endodontics, University of Michigan School of Dentistry, Ann Arbor, MI, USA
| | - L Z Lim
- Faculty of Dentistry, National University of Singapore, Singapore
| | - K S Min
- Department of Conservative Dentistry, School of Dentistry, Jeonbuk National University, Jeonju, Republic of Korea
| | - D Ho
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- ORCHIDS: Oral Care Health Innovations and Designs Singapore, National University of Singapore, Singapore
| | - W F Lu
- Department of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore
| | - V Rosa
- Faculty of Dentistry, National University of Singapore, Singapore
- ORCHIDS: Oral Care Health Innovations and Designs Singapore, National University of Singapore, Singapore
| |
Collapse
|
5
|
Ullrich K, Patel BCK, Malhotra R. Material risk: vitreoretinal surgery, evisceration, enucleation and sympathetic ophthalmia-where are we currently? Eye (Lond) 2023; 37:3542-3550. [PMID: 37198435 PMCID: PMC10686393 DOI: 10.1038/s41433-023-02562-4] [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: 05/28/2022] [Revised: 04/04/2023] [Accepted: 04/24/2023] [Indexed: 05/19/2023] Open
Abstract
Sympathetic ophthalmia (SO) is known to occur after severe penetrating eye injury, evisceration and even enucleation surgery. Recent evidence suggests that a greater risk lies after multiple vitreoretinal procedures. The risk of SO following evisceration is only minimally greater than that following enucleation surgery. This review evaluates literature on SO to date and provides figures for the risk of developing SO for the purposes of the consent process. The issue of SO and Material Risk following vitreoretinal surgery is reviewed and figures for the purposes of consent are outlined. This is of particular relevance for patients in whom the contralateral eye is and will likely remain the better seeing eye. Sympathetic ophthalmitis is known to occur after severe penetrating eye injury, after evisceration and enucleation. More recently, sympathetic ophthalmitis has been recognised to occur after vitreoretinal surgery. This article reviews the evidence on material risk when consenting patients for elective and emergency eye procedures after ocular trauma or surgery. When a globe needs to be removed because of irreparable ocular injury, previous publications dictated the procedure to be an enucleation because of the fear of an increased risk of SO after an evisceration. Perhaps the issue of material risk of sympathetic ophthalmia (SO) remains over-emphasised by ophthalmic plastic surgeons and under-recognised by vitreoretinal surgeons during the consent process for evisceration, enucleation and vitreoretinal surgery. Antecedent trauma and number of previous surgeries may actually be a more significant risk factor than the type of eye removal. Recent medicolegal cases also help us understand the importance of the discussion of this risk. We present our current understanding of the risk of SO after different procedures and suggest how this information may be included in a patient consent.
Collapse
Affiliation(s)
- K Ullrich
- Corneoplastic Unit, Queen Victoria Hospital NHS Trust, East Grinstead, West Sussex, RH19 3DZ, UK.
- Department of Ophthalmology, Queen Elizabeth Hospital, 28 Woodville Road, Woodville, SA, Australia.
| | - B C K Patel
- Department of Ophthalmology, Division of Ophthalmic Plastic and Reconstructive Surgery, John A. Moran Eye Center, University of Utah, Salt Lake City, UT, USA
| | - R Malhotra
- Corneoplastic Unit, Queen Victoria Hospital NHS Trust, East Grinstead, West Sussex, RH19 3DZ, UK
| |
Collapse
|
6
|
Kumar M, Vohra V, Ratwan P, Gowane GR, Malhotra R. Sustainable multi-trait selection index based on production, reproduction, and health traits for genetic improvement of Murrah buffaloes. Anim Biotechnol 2023; 34:2505-2513. [PMID: 35875885 DOI: 10.1080/10495398.2022.2101117] [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] [Indexed: 11/01/2022]
Abstract
Selection of Murrah buffaloes based on production, reproduction, and health traits play an important role in sustainable genetic improvement. With the aim to construct an index comprising of production, reproduction and health traits of Murrah buffaloes, the production and reproduction data during a 50-year span (1971-2020) and for health traits data of 27 years (1994-2020) were analyzed. Various three, four, five, and six trait combinations of production, reproduction, and health traits were explored for construction of performance indices. The income and expenditure method was used to calculate relative economic values (REV) for traits under consideration. A total of 37 performance indices were constructed using a multi-trait combination of production, reproduction, and health traits. Out of 37 indices, the (ADMY-PY-DO-AFC-FF) based index was identified as the best, with 78%, 2%, and 20% weightage given to production, reproduction, and female fertility, respectively. Furthermore, when REVs of traits were increased by 25% and 50%, there was no change observed in the relative importance of traits in the best index, indicating that the index was robust to substantial increases in economic values. Therefore, it is recommended that the above constructed composite selection index can be employed in selection of female buffaloes to achieve sustainable genetic gain.
Collapse
Affiliation(s)
- Manoj Kumar
- Department of Livestock Farm Complex, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India
| | - Vikas Vohra
- Animal Genetic & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Poonam Ratwan
- Department of Animal Genetics & Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India
| | - Gopal R Gowane
- Animal Genetic & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - R Malhotra
- Division of Dairy Economics, Statistics and Management, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| |
Collapse
|
7
|
Kiuchi S, Cooray U, Aida J, Osaka K, Chan A, Malhotra R, Peres MA. Effect of Tooth Loss on Cognitive Function among Older Adults in Singapore. J Dent Res 2023:220345231172109. [PMID: 37278356 DOI: 10.1177/00220345231172109] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023] Open
Abstract
Evidence suggests a longitudinal association between tooth loss and cognitive function. However, the temporality of this association is not well understood. We investigated the effect of several emulated tooth loss prevention scenarios on cognitive function. We used data from 3 waves (baseline: 2009, second wave: 2011-2012, and third wave: 2015) of the Panel on Health and Ageing of Singaporean Elderly (PHASE). PHASE targeted older adults, aged ≥60 y, in Singapore. Number of teeth was used as a time-varying exposure (baseline, second wave). Cognitive function (Short Portable Mental Status Questionnaire score) in the third wave was assessed as the outcome. Multiple time-invariant (baseline) and time-varying (baseline and second wave) covariates were included. The "longitudinal modified treatment policy approach" combined with targeted minimum loss-based estimation was used to define and estimate additive effects of emulated tooth loss prevention scenarios. Emulated scenarios were the following: what if edentate people retained 1 to 4 teeth (scenario 1), what if those with <5 teeth retained 5 to 9 teeth (scenario 2), what if those with <10 teeth retained 10 to 19 teeth (scenario 3), and what if everyone retained ≥20 teeth (scenario 4)? A total of 1,516 participants, excluding those with severe cognitive impairment, were included (male: 41.6%). The mean age at baseline was 70.6 y (SD = 7.1). The mean SPMSQ score at baseline was 2.06 (SD = 0.02) for edentulous, 1.55 (SD = 0.04) for 1 to 4 teeth, 1.61 (SD = 0.03) for 5 to 9 teeth, 1.73 (SD = 0.02) for 10 to 19 teeth, and 1.71 (SD = 0.02) for ≥20 teeth. Additive effect of hypothetical intervention gradually increased with intensity of prevention from scenario 1 to scenario 4 (scenario 1: -0.02 [95% CI, -0.08 to 0.04], scenario 2: -0.05 [95% CI, -0.11 to -0.00], scenario 3: -0.07 [95% CI, -0.14 to -0.00], scenario 4: -0.15 [95% CI, -0.23 to -0.06]). Emulated tooth loss prevention interventions were associated with better cognitive function score. Therefore, preventing tooth loss could potentially benefit maintenance of cognitive function among older adults.
Collapse
Affiliation(s)
- S Kiuchi
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Aoba-ku, Sendai, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Aoba-ku, Sendai, Japan
| | - U Cooray
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Aoba-ku, Sendai, Japan
| | - J Aida
- Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - K Osaka
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Aoba-ku, Sendai, Japan
| | - A Chan
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - R Malhotra
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - M A Peres
- National Dental Research Institute Singapore, National Dental Centre Singapore, Singapore
- Oral Health ACP, Health Services and Systems Research Programme, Duke-NUS Medical School, Singapore
| |
Collapse
|
8
|
Shah C, Srinivasan D, Erus G, Kurella Tamura M, Habes M, Detre JA, Haley WE, Lerner AJ, Wright CB, Wright JT, Oparil S, Kritchevsky SB, Punzi HA, Rastogi A, Malhotra R, Still CH, Williamson JD, Bryan RN, Fan Y, Nasrallah IM. Intensive Blood Pressure Management Preserves Functional Connectivity in Patients with Hypertension from the Systolic Blood Pressure Intervention Randomized Trial. AJNR Am J Neuroradiol 2023; 44:582-588. [PMID: 37105682 PMCID: PMC10171386 DOI: 10.3174/ajnr.a7852] [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] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 03/19/2023] [Indexed: 04/29/2023]
Abstract
BACKGROUND AND PURPOSE The Systolic Blood Pressure Intervention (SPRINT) randomized trial demonstrated that intensive blood pressure management resulted in slower progression of cerebral white matter hyperintensities, compared with standard therapy. We assessed longitudinal changes in brain functional connectivity to determine whether intensive treatment results in less decline in functional connectivity and how changes in brain functional connectivity relate to changes in brain structure. MATERIALS AND METHODS Five hundred forty-eight participants completed longitudinal brain MR imaging, including resting-state fMRI, during a median follow-up of 3.84 years. Functional brain networks were identified using independent component analysis, and a mean connectivity score was calculated for each network. Longitudinal changes in mean connectivity score were compared between treatment groups using a 2-sample t test, followed by a voxelwise t test. In the full cohort, adjusted linear regression analysis was performed between changes in the mean connectivity score and changes in structural MR imaging metrics. RESULTS Four hundred six participants had longitudinal imaging that passed quality control. The auditory-salience-language network demonstrated a significantly larger decline in the mean connectivity score in the standard treatment group relative to the intensive treatment group (P = .014), with regions of significant difference between treatment groups in the cingulate and right temporal/insular regions. There was no treatment group difference in other networks. Longitudinal changes in mean connectivity score of the default mode network but not the auditory-salience-language network demonstrated a significant correlation with longitudinal changes in white matter hyperintensities (P = .013). CONCLUSIONS Intensive treatment was associated with preservation of functional connectivity of the auditory-salience-language network, while mean network connectivity in other networks was not significantly different between intensive and standard therapy. A longitudinal increase in the white matter hyperintensity burden is associated with a decline in mean connectivity of the default mode network.
Collapse
Affiliation(s)
- C Shah
- From the Department of Radiology (C.S.), Imaging Institute, Cleveland Clinic, Cleveland, Ohio
| | - D Srinivasan
- Department of Radiology (D.S., G.E., J.A.D., R.N.B., Y.F., I.M.N.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - G Erus
- Department of Radiology (D.S., G.E., J.A.D., R.N.B., Y.F., I.M.N.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - M Kurella Tamura
- Division of Nephrology (M.K.T.), Stanford University, and VA Palo Alto Geriatric Research and Education Clinical Center, Palo Alto, California
| | - M Habes
- Biggs Institute, University of Texas San Antonio (M.H.), San Antonio, Texas
| | - J A Detre
- Department of Radiology (D.S., G.E., J.A.D., R.N.B., Y.F., I.M.N.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - W E Haley
- Department of Nephrology and Hypertension (W.E.H.), Mayo Clinic, Jacksonville, Florida
| | | | - C B Wright
- National Institute of Neurological Disorders and Stroke (C.B.W.), National Institutes of Health, Bethesda, Maryland
| | - J T Wright
- Medicine (J.T.W.), Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - S Oparil
- Division of Cardiovascular Disease (S.O.), Department of Medicine, University of Alabama, Birmingham, Alabama
| | - S B Kritchevsky
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine (S.B.K., J.D.W.), Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - H A Punzi
- Punzi Medical Center (H.A.P.), Carrollton, Texas
| | - A Rastogi
- Division of Nephrology (A.R.), Department of Medicine, University of California Los Angeles, Los Angeles, California
| | - R Malhotra
- Division of Nephrology (R.M.), University of California San Diego, San Diego, California
| | - C H Still
- Frances Payne Bolton School of Nursing (C.H.S.), Case Western Reserve University, Cleveland, Ohio
| | - J D Williamson
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine (S.B.K., J.D.W.), Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - R N Bryan
- Department of Radiology (D.S., G.E., J.A.D., R.N.B., Y.F., I.M.N.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - Y Fan
- Department of Radiology (D.S., G.E., J.A.D., R.N.B., Y.F., I.M.N.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - I M Nasrallah
- Department of Radiology (D.S., G.E., J.A.D., R.N.B., Y.F., I.M.N.), University of Pennsylvania, Philadelphia, Pennsylvania
| |
Collapse
|
9
|
Menakaya CU, Shah M, Ingoe H, Malhotra R, Mannan A, Boddice T, Allgar V, Gopal S, Mohsen A, Muthukumar N. Modern cemented Furlong hemiarthroplasty: Are dislocations rates better? J Perioper Pract 2023; 33:24-29. [PMID: 34380351 DOI: 10.1177/17504589211020674] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Dislocation following hip hemiarthroplasty is a major complication with increased mortality and morbidity. Data looking at dislocation following contemporary bipolar stems are lacking in literature. METHODS Retrospective review of our prospective national hip fracture database over a two-year period. Group 1 comprised of consecutive patients receiving bipolar Furlong prosthesis (N222) while Group 2 was made up of a historical cohort (uncemented; N254). Clinical and radiological records were reviewed to determine dislocation rates, causes and associative factors of dislocations. Data were analysed using SPSS. RESULTS Following 476 hemiarthroplasties performed during the study period, 12 (2.5%) dislocations were reported (eight in Group 1; four in Group 2). There was no significant difference in dislocation rates (3.6% vs 1.6%) between groups (p = 0.159). Subgroup analysis of Group 1 demonstrated a significant difference in dislocations with Furlong cemented (6%) as compared with Furlong uncemented (0%) hemiarthroplasties (p = 0.024). Following dislocation, death rates increased to 8.3% from 1.7% in both groups. CONCLUSION There is a statistically significant increase in dislocation rate following use of cemented Furlong prosthesis when compared to similar uncemented prosthesis at the same treatment period. However, when compared to traditional uncemented prosthesis, there is no difference in dislocation rates.
Collapse
Affiliation(s)
- C U Menakaya
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK
| | - M Shah
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK.,Yorkshire and the Humber Postgraduate Deanery, University of Leeds, Leeds, UK
| | - H Ingoe
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK.,Yorkshire and the Humber Postgraduate Deanery, University of Leeds, Leeds, UK
| | - R Malhotra
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK.,Yorkshire and the Humber Postgraduate Deanery, University of Leeds, Leeds, UK
| | - A Mannan
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK.,Yorkshire and the Humber Postgraduate Deanery, University of Leeds, Leeds, UK
| | - T Boddice
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK.,Yorkshire and the Humber Postgraduate Deanery, University of Leeds, Leeds, UK
| | - V Allgar
- Hull & York Medical School, The University of York, York, UK
| | - S Gopal
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK
| | - A Mohsen
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK
| | - N Muthukumar
- Department of Orthopaedics, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Hull, UK
| |
Collapse
|
10
|
Walsh T, Malhotra R, Sharma M. Radiofrequency techniques for chronic pain. BJA Educ 2022; 22:474-483. [PMID: 36406037 PMCID: PMC9669778 DOI: 10.1016/j.bjae.2022.08.004] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/18/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- T. Walsh
- Starship Children's Health, Auckland, New Zealand
| | - R. Malhotra
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - M. Sharma
- The Walton Centre NHS Foundation Trust, Liverpool, UK
- University of Liverpool, Liverpool, UK
| |
Collapse
|
11
|
Quesada O, Pico M, Palmer C, Yildiz M, Miranda R, Malhotra R, Setegn E, Legreaux S, Moore B, Philip R, Shrivastava P, Takla R, Henry T. Magnetocardiography as a noninvasive diagnostic strategy for suspected coronary microvascular dysfunction. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1188] [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
Coronary microvascular dysfunction (CMD) is increasingly recognized as an independent predictor of mortality with a 4-fold higher risk. However current diagnostic modalities are limited by the need for an invasive procedure, access, cost, and exposure of ionizing radiation.
Purpose
To investigate the ability of magnetocardiography (MCG) to identify CMD in patients with suspected ischemia and no obstructive coronary artery disease (INOCA).
Methods
This is an observational, prospective pilot study of patients scheduled for coronary functional angiography (CFA), gold standard for evaluation for CMD (defined as coronary flow reserve (CFR) ≤2). 13 patients underwent both CFA and a noninvasive 36-channel MCG scan. A machine learning model was developed to characterize the presence of CMD in these patients against age matched controls (AMCs). The model consists of a logistic regression classifier which takes features representing the relative strengths of the “characteristic dipoles” of the MCG scan as input. The characteristic dipoles are parameterizations of the three strongest magnetic field map components resulting from a singular value decomposition of the MCG signal. A total of 37 patients were included in this analysis including 13 patients who completed CFA (7 had CMD and 6 had CFR >2 and included in the AMCs group). An additional 24 asymptomatic, healthy patients that did not undergo CFR were also included in the AMC group.
Results
The mean age for AMCs was 57 years (70% women) and mean age for CMD patients was 54 years (100% women). The performance of the model was evaluated using repeated stratified cross-validation with 5 folds and 3 repeats, resulting in 15 different 80%/20% train/test splits. Figure 1 shows the distribution of samples belonging to the CMD and AMC groups in a 2-dimensional representation of the feature space. The clear separation of the two groups and the clustering of the AMCs demonstrates the ability of the model to identify patients with CMD. We found that MCG had a mean accuracy of 94.8% (±6.4%), sensitivity of 100% (±0.0%) and specificity of 93.3% (±8.2%) for the detection of CMD using gold standard CFR ≤2 as reference.
Conclusion(s)
First study to show that MCG can be used with 94.8% accuracy to identify CMD among patients suspicious for INOCA with no exposure to ionization, 90 seconds of scan time and minimal cost. The use of this noninvasive modality to identify CMD warrants further investigation.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): Genetesis
Collapse
Affiliation(s)
- O Quesada
- The Christ Hospital, Women's Heart Center, The Christ Hospital Heart and Vascular Institute , Cincinnati , United States of America
| | - M Pico
- The Christ Hospital, Women's Heart Center, The Christ Hospital Heart and Vascular Institute , Cincinnati , United States of America
| | - C Palmer
- The Christ Hospital, Women's Heart Center, The Christ Hospital Heart and Vascular Institute , Cincinnati , United States of America
| | - M Yildiz
- The Christ Hospital, The Carl and Edyth Lindner Center for Research and Education , Cincinnati , United States of America
| | - R Miranda
- Genetesis , Cincinnati , United States of America
| | - R Malhotra
- Genetesis , Cincinnati , United States of America
| | - E Setegn
- Genetesis , Cincinnati , United States of America
| | - S Legreaux
- Genetesis , Cincinnati , United States of America
| | - B Moore
- Genetesis , Cincinnati , United States of America
| | - R Philip
- Genetesis , Cincinnati , United States of America
| | | | - R Takla
- Genetesis , Cincinnati , United States of America
| | - T Henry
- The Christ Hospital, The Carl and Edyth Lindner Center for Research and Education , Cincinnati , United States of America
| |
Collapse
|
12
|
Malhotra R, Huq SS, Chong M, Murphy D, Daruwalla ZJ. Outcomes in Nonagenarians with Hip Fractures Treated Conservatively and Surgically. Malays Orthop J 2021; 15:21-28. [PMID: 34966491 PMCID: PMC8667238 DOI: 10.5704/moj.2111.004] [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] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 06/14/2021] [Indexed: 11/05/2022] Open
Abstract
Introduction We aimed to assess the clinical outcomes in nonagenarians following a hip fracture. We also further investigated the factors that influence these outcomes, such as method of treatment (operative versus conservative), co-morbidities, and pre-morbid function. Materials and methods We studied 65 nonagenarians that were identifiable from our hospital hip fracture database. We reviewed various parameters of these patients admitted after sustaining a hip fracture (neck of femur or intertrochanteric) and investigated how these parameters affected patient outcomes. The main outcomes studied were: inpatient morbidity, and mortality at one year. Results Inpatient morbidity was more likely in patients with an ASA grade of 3 to 5. Urinary tract infection was the most common medical complication. The 1-year mortality was 15.4% and was significantly influenced by advancing age. Surgically managed patients had a 1-year mortality rate (14.3%) slightly less than non-operative patients (17.4%). Post injury mobility was significantly better in those who received operative treatment with 63% of surgical cases regaining ambulatory status versus 7% of conservatively managed patients. Conclusions We presented the outcomes of hip fractures in an extreme age group in the population. In nonagenarians with hip fractures surgery was associated with a 1-year mortality rate of 14.3% which is comparable to the general hip fracture population and less than the mortality rate of conservatively managed patients (17.4%). The primary advantage of surgery would be that two-thirds of patients return to ambulatory status. This information is useful to counsel patients and their families especially since the elderly are often more fearful of surgical intervention.
Collapse
Affiliation(s)
- R Malhotra
- Department of Orthopaedics, National University Hospital of Singapore, Singapore
| | - S S Huq
- Department of Orthopaedics, National University Hospital of Singapore, Singapore
| | - M Chong
- Department of Orthopaedics, National University Hospital of Singapore, Singapore
| | - D Murphy
- Department of Orthopaedics, National University Hospital of Singapore, Singapore
| | - Z J Daruwalla
- Department of Orthopaedics, National University Hospital of Singapore, Singapore
| |
Collapse
|
13
|
Yang L, Malhotra R, Chikhi R, Elleder D, Kaiser T, Rong J, Medvedev P, Poss M. Recombination marks the evolutionary dynamics of a recently endogenized retrovirus. Mol Biol Evol 2021; 38:5423-5436. [PMID: 34480565 PMCID: PMC8662619 DOI: 10.1093/molbev/msab252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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] [Indexed: 12/14/2022] Open
Abstract
All vertebrate genomes have been colonized by retroviruses along their evolutionary trajectory. Although endogenous retroviruses (ERVs) can contribute important physiological functions to contemporary hosts, such benefits are attributed to long-term coevolution of ERV and host because germline infections are rare and expansion is slow, and because the host effectively silences them. The genomes of several outbred species including mule deer (Odocoileus hemionus) are currently being colonized by ERVs, which provides an opportunity to study ERV dynamics at a time when few are fixed. We previously established the locus-specific distribution of cervid ERV (CrERV) in populations of mule deer. In this study, we determine the molecular evolutionary processes acting on CrERV at each locus in the context of phylogenetic origin, genome location, and population prevalence. A mule deer genome was de novo assembled from short- and long-insert mate pair reads and CrERV sequence generated at each locus. We report that CrERV composition and diversity have recently measurably increased by horizontal acquisition of a new retrovirus lineage. This new lineage has further expanded CrERV burden and CrERV genomic diversity by activating and recombining with existing CrERV. Resulting interlineage recombinants then endogenize and subsequently expand. CrERV loci are significantly closer to genes than expected if integration were random and gene proximity might explain the recent expansion of one recombinant CrERV lineage. Thus, in mule deer, retroviral colonization is a dynamic period in the molecular evolution of CrERV that also provides a burst of genomic diversity to the host population.
Collapse
Affiliation(s)
- Lei Yang
- Department of Biology, The Pennsylvania State University, University Park, PA, 16802, USA.,Center for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Raunaq Malhotra
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Rayan Chikhi
- Center for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, PA, 16802, USA.,Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.,Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Daniel Elleder
- Department of Biology, The Pennsylvania State University, University Park, PA, 16802, USA.,Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, 1083, 14220, Czech Republic Vídeňská Prague
| | - Theodora Kaiser
- Department of Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Jesse Rong
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Paul Medvedev
- Center for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, PA, 16802, USA.,Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.,Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Mary Poss
- Department of Biology, The Pennsylvania State University, University Park, PA, 16802, USA.,Center for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, PA, 16802, USA
| |
Collapse
|
14
|
Rosa V, Malhotra R, Agarwalla SV, Morin JLP, Luong-Van EK, Han YM, Chew RJJ, Seneviratne CJ, Silikas N, Tan KS, Nijhuis CA, Castro Neto AH. Graphene Nanocoating: High Quality and Stability upon Several Stressors. J Dent Res 2021; 100:1169-1177. [PMID: 34253090 DOI: 10.1177/00220345211024526] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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] [Indexed: 12/20/2022] Open
Abstract
Titanium implants present 2 major drawbacks-namely, the long time needed for osseointegration and the lack of inherent antimicrobial properties. Surface modifications and coatings to improve biomaterials can lose their integrity and biological potential when exposed to stressful microenvironments. Graphene nanocoating (GN) can be deposited onto actual-size dental and orthopedic implants. It has antiadhesive properties and can enhance bone formation in vivo. However, its ability to maintain structural integrity and quality when challenged by biologically relevant stresses remains largely unknown. GN was produced by chemical vapor deposition and transferred to titanium via a polymer-assisted transfer technique. GN has high inertness and did not increase expression of inflammatory markers by macrophages, even in the presence of lipopolysaccharides. It kept high coverage at the top tercile of tapered dental implant collars after installation and removal from bone substitute and pig maxilla. It also resisted microbiologically influenced corrosion, and it maintained very high coverage area and quality after prolonged exposure to biofilms and their removal by different techniques. Our findings show that GN is unresponsive to harsh and inflammatory environments and that it maintains a promising level of structural integrity on the top tercile of dental implant collars, which is the area highly affected by biofilms during the onset of implant diseases. Our findings open the avenues for the clinical studies required for the use of GN in the development of implants that have higher osteogenic potential and are less prone to implant diseases.
Collapse
Affiliation(s)
- V Rosa
- Faculty of Dentistry, National University of Singapore, Singapore
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore
| | - R Malhotra
- Faculty of Dentistry, National University of Singapore, Singapore
| | - S V Agarwalla
- Faculty of Dentistry, National University of Singapore, Singapore
| | - J L P Morin
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore
| | - E K Luong-Van
- Faculty of Dentistry, National University of Singapore, Singapore
| | - Y M Han
- Department of Chemistry, National University of Singapore, Singapore
| | - R J J Chew
- Faculty of Dentistry, National University of Singapore, Singapore
| | | | - N Silikas
- Division of Dentistry, School of Medical Sciences, University of Manchester, Manchester, United Kingdom
| | - K S Tan
- Faculty of Dentistry, National University of Singapore, Singapore
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore
| | - C A Nijhuis
- Department of Molecules and Materials, Faculty of Science and Technology, University of Twente, Enschede, Netherlands
| | - A H Castro Neto
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore
| |
Collapse
|
15
|
Malhotra R, Goyal A, Shamim SA. Multiple endocrine neoplasia type 2B syndrome. QJM 2021; 114:272-273. [PMID: 32483633 DOI: 10.1093/qjmed/hcaa184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- R Malhotra
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi 110029, India
| | - A Goyal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi 110029, India
| | - S A Shamim
- Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi 110029, India
| |
Collapse
|
16
|
Mohapatra S, R S, Singh A, Dixit AK, Malhotra R, Ponnusamy K. An economic analysis of milk production in Haryana. IJDS 2021. [DOI: 10.33785/ijds.2021.v74i02.009] [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: 11/23/2022]
|
17
|
Ryan TG, Juniat V, Stewart C, Malhotra R, Hardy TG, McNab AA, Davis G, Selva D. Clinico-radiological findings of neuroendocrine tumour metastases to the orbit. Orbit 2021; 41:44-52. [PMID: 33729098 DOI: 10.1080/01676830.2021.1895845] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Purpose: We present the clinico-radiological findings of neuroendocrine tumour metastases to the orbit.Methods: This was a multicentre, retrospective study of patients with neuroendocrine tumour metastases to the orbit. Data was collected from medical records across five different sites within Australia and the United Kingdom.Results: Nine patients (eleven lesions) were identified. The most common presenting complaint was diplopia (5/9, 56%). Disease occurred bilaterally in two patients. Seven patients (78%) had extraocular muscle involvement. The lateral recti (4/9, 44%) and superior recti (2/9, 22%) were the most commonly affected. Ocular presentation preceded primary tumour diagnosis in three patients (33%). On orbital imaging, metastases were most commonly reported as well circumscribed, ovoid or round, heterogeneous, contrast-enhancing masses. Features of intralesional haemorrhage and bony invasion are uncommonly reported.Conclusions: Neuroendocrine tumour metastasis to the orbit is uncommon. Metastases have a propensity for the extraocular muscles, commonly presenting as heterogeneous, well circumscribed, contrast-enhancing lesions on neuroimaging. New ocular symptoms, a history of neuroendocrine tumours, and these radiological findings, should lead to high clinical suspicion of metastatic disease. Atypical findings warrant biopsy to exclude other causes of orbital lesions.
Collapse
Affiliation(s)
- T G Ryan
- Department of Ophthalmology, The Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - V Juniat
- Department of Ophthalmology, The Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - C Stewart
- Department of Ophthalmology, Gold Coast University Hospital, Gold Coast, Australia
| | - R Malhotra
- Oculoplastics Unit, East Grinstead Hospital, East Sussex, UK
| | - T G Hardy
- Orbital Plastics and Lacrimal Unit, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.,Department of Surgery, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - A A McNab
- Orbital Plastics and Lacrimal Unit, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.,Centre for Eye Research Australia Ltd, University of Melbourne, East Melbourne, Australia
| | - G Davis
- Department of Ophthalmology, The Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - D Selva
- Department of Ophthalmology, The Royal Adelaide Hospital, Adelaide, South Australia, Australia
| |
Collapse
|
18
|
Malhotra R, Guleria P, Barwad A, Pramanik R, Tandon N. A unique case of light chain (AL) amyloidosis masquerading as hypophosphatemic osteomalacia. Osteoporos Int 2021; 32:387-392. [PMID: 32910218 DOI: 10.1007/s00198-020-05622-7] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/01/2020] [Indexed: 01/22/2023]
Abstract
Light chain (AL) amyloidosis is the result of a clonal plasma cell disorder which causes organ damage by deposition of misfolded light chains. Kidney is a common site of amyloid deposition. Proteinuria, usually in nephrotic range and unexplained renal insufficiency are the main manifestations of renal injury. We report a unique case of renal involvement by AL amyloidosis masquerading as metabolic bone disease. 38 year old male patient presented with progressively increasing diffuse bony pains, low backache and proximal weakness of both lower limbs since two years. On investigation, he was detected to have hypophosphatemic osteomalacia due to renal phosphate loss which was fibroblast growth factor 23 (FGF23)- independent. He also had nephrotic range low molecular weight proteinuria. Renal biopsy to ascertain the aetiology revealed deposition of amyloid fibrils in the glomerular mesangium on electron microscopy. Its characterization by immunofluorescence (IF) was consistent with immunoglobulin light chain (AL) amyloidosis. In the absence of a demonstrable plasma cell clone on bone marrow biopsy, we made a diagnosis of monoclonal gammopathy of renal significance (MGRS). He was treated with chemotherapy following which there was symptomatic improvement and reduction in phosphaturia. This case describes a unique presentation of renal injury due to AL amyloidosis masquerading as hypophosphatemic osteomalacia. The aim of this report is to highlight that hypophosphatemia in adults is usually acquired and treatment of underlying etiology results in cure, unlike in children where genetic counseling and phosphate replacement is the mainstay of treatment.
Collapse
Affiliation(s)
- R Malhotra
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - P Guleria
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - A Barwad
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - R Pramanik
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - N Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
19
|
Sharma V, Katyal S, Farooque K, Mathur P, Malhotra R. Antimicrobial susceptibility pattern of pus culture of surgical site infections in Trauma Centre. Int J Infect Dis 2020. [DOI: 10.1016/j.ijid.2020.09.223] [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
|
20
|
Nakajima A, Araki M, Kurihara O, Minami Y, Soeda T, Higuma T, Kakuta T, Lee H, Malhotra R, Nakamura S, Jang I. Predictors for rapid progression of coronary calcification: an optical coherence tomography (OCT) study. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.0316] [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
The natural progression of coronary calcification has not been systematically studied. In vivo coronary calcium can be evaluated by OCT.
Purpose
To identify the incidence and predictors for rapid progression of coronary calcification.
Methods
Patients with serial OCT imaging at baseline and at 6 months were selected from our database. Changes in calcium index during 6-month follow-up and predictors for progression of calcification were studied. Calcium index was defined as the product of the mean calcium arc and calcium length. Rapid progression of calcification was defined as an increase in calcium index above the median value.
Results
Among 187 patients who had serial OCT imaging, 235 calcified plaques were identified in 108 patients (57.8%) at baseline with median calcium index of 132.0 (Interquartile range 58.5–281.2). After 6 months, the calcium index increased in 95.3% of calcified plaques from 132.0 to 178.2 (p<0.001). In multivariable analysis, diabetes mellitus (DM), chronic kidney disease (CKD), lipid-rich plaque, and macrophages were found to be independent predictors for rapid progression of coronary calcification (table). Interestingly, rapid progression of calcification was associated with a significant reduction of inflammatory features (thin-cap fibroatheroma [TCFA]; baseline 21.2% vs. follow-up 11.9%, p=0.003, macrophages; baseline 74.6% vs. follow-up 61.0%, p=0.001).
Conclusions
This study demonstrated that DM, CKD, lipid-rich plaque, and macrophages were independent predictors for rapid progression of coronary calcification. High level of vascular inflammation may stimulate rapid progression of calcification.
Funding Acknowledgement
Type of funding source: None
Collapse
Affiliation(s)
- A Nakajima
- Mass General Hopital (MGH), Boston, United States of America
| | - M Araki
- Mass General Hopital (MGH), Boston, United States of America
| | - O Kurihara
- Mass General Hopital (MGH), Boston, United States of America
| | - Y Minami
- Kitasato University School of Medicine, Kanagawa, Japan
| | - T Soeda
- Nara Medical University, Nara, Japan
| | - T Higuma
- St. Marianna University School of Medicine, Kanagawa, Japan
| | - T Kakuta
- Tsuchiura Kyodo Hospital, Tsuchiura, Japan
| | - H Lee
- Mass General Hopital (MGH), Boston, United States of America
| | - R Malhotra
- Mass General Hopital (MGH), Boston, United States of America
| | | | - I.K Jang
- Mass General Hopital (MGH), Boston, United States of America
| |
Collapse
|
21
|
Abstract
BACKGROUND Peri-orbital surgical emphysema is a rare complication that can occur after lacrimal surgery. It has only been described in isolated cases, following external dacryocystorhinostomy (n = 2) and Lester Jones tube insertion (n = 1). METHOD A retrospective, non-comparative case series was conducted of patients who developed surgical emphysema following endoscopic dacryocystorhinostomy. RESULTS A total of 356 endoscopic dacryocystorhinostomy cases (primary, n = 316; revision, n = 40) were performed over a six-year period. Seven cases of post-operative surgical emphysema were identified, all of which were preceded by uncontrolled sneezing, nose-blowing or coughing within the first week of surgery. The occurrence of surgical emphysema post-endoscopic dacryocystorhinostomy in our centre was 7 in 356, or 2 per cent, over six years. CONCLUSION This is the first study to report the occurrence of surgical emphysema post-endoscopic dacryocystorhinostomy. Clinicians may wish to suggest patients stifle the aforementioned triggers within the first week to reduce the potential for surgical emphysema.
Collapse
Affiliation(s)
- J C Bladen
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| | - W F Siah
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| | - P Tan
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| | - A S Litwin
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| | - S Ali
- Department of Anaesthesia, Surrey and Sussex Healthcare NHS Trust, Redhill, UK
| | - R Malhotra
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| |
Collapse
|
22
|
Boutin RCT, Sbihi H, Dsouza M, Malhotra R, Petersen C, Dai D, Sears MR, Moraes TJ, Becker AB, Azad MB, Mandhane PJ, Subbarao P, Finlay BB, Turvey SE. Mining the infant gut microbiota for therapeutic targets against atopic disease. Allergy 2020; 75:2065-2068. [PMID: 32086944 DOI: 10.1111/all.14244] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 01/30/2020] [Accepted: 02/15/2020] [Indexed: 12/24/2022]
Affiliation(s)
- Rozlyn C. T. Boutin
- University of British Columbia Vancouver BC Canada
- Michael Smith Laboratories Vancouver BC Canada
| | - Hind Sbihi
- University of British Columbia Vancouver BC Canada
- British Columbia Children’s Hospital Vancouver BC Canada
| | - Melissa Dsouza
- Commense Inc. Current affiliation Vedanta Biosciences Inc. Boston MA USA
| | - Raunaq Malhotra
- Commense Inc. Current affiliation GNS Healthcare Inc. Boston MA USA
| | - Charisse Petersen
- University of British Columbia Vancouver BC Canada
- Michael Smith Laboratories Vancouver BC Canada
| | - Darlene Dai
- University of British Columbia Vancouver BC Canada
- British Columbia Children’s Hospital Vancouver BC Canada
| | | | | | | | | | | | | | - B. Brett Finlay
- University of British Columbia Vancouver BC Canada
- Michael Smith Laboratories Vancouver BC Canada
| | - Stuart E. Turvey
- University of British Columbia Vancouver BC Canada
- British Columbia Children’s Hospital Vancouver BC Canada
| |
Collapse
|
23
|
Bofill-De Ros X, Chen K, Chen S, Tesic N, Randjelovic D, Skundric N, Nesic S, Varjacic V, Williams EH, Malhotra R, Jiang M, Gu S. QuagmiR: a cloud-based application for isomiR big data analytics. Bioinformatics 2020; 35:1576-1578. [PMID: 30295744 DOI: 10.1093/bioinformatics/bty843] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 09/07/2018] [Accepted: 10/04/2018] [Indexed: 11/15/2022] Open
Abstract
SUMMARY MicroRNAs (miRNAs) function as master regulators of gene expression. Recent studies demonstrate that miRNA isoforms (isomiRs) play a unique role in cancer development. Here, we present QuagmiR, the first cloud-based tool to analyze isomiRs from next generation sequencing data. Using a novel and flexible searching algorithm designed for the detection and annotation of heterogeneous isomiRs, it permits extensive customization of the query process and reference databases to meet the user 's diverse research needs. AVAILABILITY AND IMPLEMENTATION QuagmiR is written in Python and can be obtained freely from GitHub (https://github.com/Gu-Lab-RBL-NCI/QuagmiR). QuagmiR can be run from the command line on local machines, as well as on high-performance servers. A web-accessible version of the tool has also been made available for use by academic researchers through the National Cancer Institute-funded Seven Bridges Cancer Genomics Cloud (https://cancergenomicscloud.org). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Xavier Bofill-De Ros
- RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Kevin Chen
- RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Susanna Chen
- RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | | | | | | | | | | | | | | | - Minjie Jiang
- RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Shuo Gu
- RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA
| |
Collapse
|
24
|
Abstract
Most of the major planets in the Solar System support populations of co-orbiting bodies, known as Trojans, at their L4 and L5 Lagrange points. In contrast, Earth has only one known co-orbiting companion. This paper presents the results from a search for Earth Trojans using the DECam instrument on the Blanco Telescope at CTIO. This search found no additional Trojans in spite of greater coverage compared to previous surveys of the L5 point. Therefore, the main result of this work is to place the most stringent constraints to date on the population of Earth Trojans. These constraints depend on assumptions regarding the underlying population properties, especially the slope of the magnitude distribution (which in turn depends on the size and albedo distributions of the objects). For standard assumptions, we calculate upper limits to a 90% confidence limit on the L5 population of N ET < 1 for magnitude H < 15.5, N ET =60-85 for H < 19.7, and N ET = 97 for H=20.4. This latter magnitude limit corresponds to Trojans ∼300 m in size for albedo 0.15. At H=19.7, these upper limits are consistent with previous L4 Earth Trojan constraints and significantly improve L5 constraints.
Collapse
Affiliation(s)
- Larissa Markwardt
- Department of Astronomy, University of Michigan, 1085 South University Avenue, Ann Arbor, MI 48109, USA
| | - D. W. Gerdes
- Department of Astronomy, University of Michigan, 1085 South University Avenue, Ann Arbor, MI 48109, USA
- Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI 48109, USA
| | - R. Malhotra
- Lunar and Planetary Laboratory, The University of Arizona, 1629 E University Boulevard, Tucson, AZ 85721, USA
| | - J. C. Becker
- Department of Astronomy, University of Michigan, 1085 South University Avenue, Ann Arbor, MI 48109, USA
- Division of Geological and Planetary Sciences, California Institute of Technology, 1200 E California Blvd, Pasadena CA 91125, USA
| | - S. J. Hamilton
- Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI 48109, USA
| | - F. C. Adams
- Department of Astronomy, University of Michigan, 1085 South University Avenue, Ann Arbor, MI 48109, USA
- Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI 48109, USA
| |
Collapse
|
25
|
Malhotra R, Han YM, Morin JLP, Luong-Van EK, Chew RJJ, Castro Neto AH, Nijhuis CA, Rosa V. Inhibiting Corrosion of Biomedical-Grade Ti-6Al-4V Alloys with Graphene Nanocoating. J Dent Res 2020; 99:285-292. [PMID: 31905311 DOI: 10.1177/0022034519897003] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
The identification of metal ions and particles in the vicinity of failed implants has raised the concern that biomedical titanium alloys undergo corrosion in healthy and infected tissues. Various surface modifications and coatings have been investigated to prevent the deterioration and biocorrosion of titanium alloys but so far with limited success. Graphene is a cytocompatible atom-thick film made of carbon atoms. It has a very high surface area and can be deposited onto metal objects with complex shapes. As the carbon lattice has a very small pore size, graphene has promising impermeability capacity. Here, we show that graphene coating can effectively protect Ti-6Al-4V from corrosion. Graphene nanocoatings were produced on Ti-6Al-4V grade 5 and 23 discs and subjected to corrosive challenge (0.5M NaCl supplemented with 2-ppm fluoride, pH of 2.0) up to 30 d. The linear polarization resistance curves and electrochemical impedance spectroscopy analysis showed that the graphene-coated samples presented higher corrosion resistance and electrochemical stability at all time points. Moreover, the corrosion rate of the graphene-coated samples was very low and stable (~0.001 mm/y), whereas that of the uncoated controls increased up to 16 and 5 times for grade 5 and 23 (~0.091 mm/y) at the end point, respectively. The surface oxidation, degradation (e.g., crevice defects), and leaching of Ti, Al, and V ions observed in the uncoated controls were prevented by the graphene nanocoating. The Raman mappings confirmed that the graphene nanocoating presented high structural stability and resistance to mechanical stresses and chemical degradation, keeping >99% of coverage after corrosion challenge. Our findings open the avenues for the use of graphene as anticorrosion coatings for metal biomedical alloys and implantable devices.
Collapse
Affiliation(s)
- R Malhotra
- Faculty of Dentistry, National University of Singapore, Singapore
| | - Y M Han
- Department of Chemistry, National University of Singapore, Singapore
| | - J L P Morin
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore
| | - E K Luong-Van
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore
| | - R J J Chew
- Faculty of Dentistry, National University of Singapore, Singapore
| | - A H Castro Neto
- Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore.,Department of Materials Science and Engineering, National University of Singapore, Singapore
| | - C A Nijhuis
- Department of Chemistry, National University of Singapore, Singapore.,Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore.,NUSNNI-Nanocore, National University of Singapore, Singapore.,Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | - V Rosa
- Faculty of Dentistry, National University of Singapore, Singapore.,Centre for Advanced 2D Materials and Graphene Research Centre, National University of Singapore, Singapore.,Department of Materials Science and Engineering, National University of Singapore, Singapore
| |
Collapse
|
26
|
PG A, Verma A, Malhotra R, R S. Economics of milk production in Pune district of Maharashtra: A comparative analysis. IJDS 2020. [DOI: 10.33785/ijds.2019.v72i06.011] [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: 11/23/2022]
|
27
|
Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2019; 51:411-412. [PMID: 31433971 DOI: 10.1016/j.immuni.2019.08.004] [Citation(s) in RCA: 239] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| |
Collapse
|
28
|
Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2019. [PMID: 31433971 DOI: 10.1016/j.immuni.2019.08.004.erratumfor:immunity.2018;48(4),812-830.e14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| |
Collapse
|
29
|
Pandey R, Soni N, Bhayana H, Malhotra R, Pankaj A, Arora SS. Hand function outcome in closed small bone fractures treated by open reduction and internal fixation by mini plate or closed crossed pinning: a randomized controlled trail. Musculoskelet Surg 2019; 103:99-105. [PMID: 29855782 DOI: 10.1007/s12306-018-0542-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 05/07/2017] [Accepted: 05/20/2018] [Indexed: 06/08/2023]
Abstract
PURPOSE No study in literature clearly gives advantage of one method of surgical fixation of fracture over the other in metacarpal and phalangeal bones of hand comparing wider outcome measures. MATERIALS AND METHODS A randomized controlled trial between closed reduction and percutaneous Kirschner wire fixation or open reduction and internal fixation with mini fragment plates was conducted. A total of 32 patients with 16 in each group were taken in tertiary-level teaching hospital from 2014 to 2016. Four patients lost to follow-up apart from 32 studied. Inclusion criteria were age group 16-60 years, fresh (3 days) closed shaft fractures of metacarpal and phalanges. Outcome evaluated were time to union of fracture, degree of strength achieved measured with dynamometer, DASH scoring, range of motion of hand and each digit. RESULTS Both groups were comparable in terms of return to full hand function, union and total range of motion. K wire fixation results were slightly better than plating group in terms of early DASH score and grip strength after fixation. CONCLUSION No modality was found to be superior for fixation of small bone fractures of hand. But K wire being cheaper and without inherent complication of plating like scar and tendon irritation, K wire fixation is preferred over plating in shaft fractures of metacarpal and phalanges. LEVEL OF EVIDENCE Level I Therapeutic study.
Collapse
Affiliation(s)
- R Pandey
- University College of Medical Sciences, Delhi, India.
| | - N Soni
- Max Health Care, Delhi, India
| | - H Bhayana
- University College of Medical Sciences, Delhi, India
| | - R Malhotra
- University College of Medical Sciences, Delhi, India
| | - A Pankaj
- Fortis Shalimar Bagh, Delhi, India
| | - S S Arora
- Department of Orthopedic, AIIMS Rishikesh, Rishikesh, India
| |
Collapse
|
30
|
Li W, Lin L, Malhotra R, Yang L, Acharya R, Poss M. A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations. PLoS Comput Biol 2019; 15:e1006564. [PMID: 30921327 PMCID: PMC6456218 DOI: 10.1371/journal.pcbi.1006564] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 04/09/2019] [Accepted: 03/05/2019] [Indexed: 12/11/2022] Open
Abstract
Human Endogenous Retrovirus type K (HERV-K) is the only HERV known to be insertionally polymorphic; not all individuals have a retrovirus at a specific genomic location. It is possible that HERV-Ks contribute to human disease because people differ in both number and genomic location of these retroviruses. Indeed viral transcripts, proteins, and antibody against HERV-K are detected in cancers, auto-immune, and neurodegenerative diseases. However, attempts to link a polymorphic HERV-K with any disease have been frustrated in part because population prevalence of HERV-K provirus at each polymorphic site is lacking and it is challenging to identify closely related elements such as HERV-K from short read sequence data. We present an integrated and computationally robust approach that uses whole genome short read data to determine the occupation status at all sites reported to contain a HERV-K provirus. Our method estimates the proportion of fixed length genomic sequence (k-mers) from whole genome sequence data matching a reference set of k-mers unique to each HERV-K locus and applies mixture model-based clustering of these values to account for low depth sequence data. Our analysis of 1000 Genomes Project Data (KGP) reveals numerous differences among the five KGP super-populations in the prevalence of individual and co-occurring HERV-K proviruses; we provide a visualization tool to easily depict the proportion of the KGP populations with any combination of polymorphic HERV-K provirus. Further, because HERV-K is insertionally polymorphic, the genome burden of known polymorphic HERV-K is variable in humans; this burden is lowest in East Asian (EAS) individuals. Our study identifies population-specific sequence variation for HERV-K proviruses at several loci. We expect these resources will advance research on HERV-K contributions to human diseases. Human Endogenous Retrovirus type K (HERV-K) is the youngest of retrovirus families in the human genome and is the only group of endogenous retroviruses that has polymorphic members; a locus containing a HERV-K can be occupied in one individual but empty in others. HERV-Ks could contribute to disease risk or pathogenesis but linking one of the known polymorphic HERV-K to a specific disease has been difficult. We develop an easy to use method that reveals the considerable variation existing among global populations in the prevalence of individual and co-occurring polymorphic HERV-K, and in the number of HERV-K that any individual has in their genome. Our study provides a reference of diversity for the currently known polymorphic HERV-K in global populations and tools needed to determine the profile of all known polymorphic HERV-K in the genome of any patient population.
Collapse
Affiliation(s)
- Weiling Li
- The School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America
| | - Lin Lin
- Department of Statistics, The Pennsylvania State University, University Park, PA, United States of America
| | - Raunaq Malhotra
- The School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America
| | - Lei Yang
- Department of Biology, The Pennsylvania State University, University Park, PA, United States of America
| | - Raj Acharya
- The School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America
- School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, United States of America
| | - Mary Poss
- Department of Biology, The Pennsylvania State University, University Park, PA, United States of America
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, United States of America
- * E-mail:
| |
Collapse
|
31
|
Mazereeuw‐Hautier J, Hernández‐Martín A, O'Toole E, Bygum A, Amaro C, Aldwin M, Audouze A, Bodemer C, Bourrat E, Diociaiuti A, Dolenc‐Voljč M, Dreyfus I, El Hachem M, Fischer J, Ganemo A, Gouveia C, Gruber R, Hadj‐Rabia S, Hohl D, Jonca N, Ezzedine K, Maier D, Malhotra R, Rodriguez M, Ott H, Paige D, Pietrzak A, Poot F, Schmuth M, Sitek J, Steijlen P, Wehr G, Moreen M, Vahlquist A, Traupe H, Oji V. Congenital ichthyoses: European guidelines of care, part two. Br J Dermatol 2019. [DOI: 10.1111/bjd.17552] [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: 11/30/2022]
|
32
|
Mazereeuw‐Hautier J, Hernandez‐Martin A, O'Toole E, Bygum A, Amaro C, Aldwin M, Audouze A, Bodemer C, Bourrat E, Diociaiuti A, Dolenc‐Voljc M, Dreyfus I, El Hachem M, Fischer J, Ganemo A, Gouveia C, Gruber R, Hadj‐Rabia S, Hohl D, Jonca N, Ezzedine K, Maier D, Malhotra R, Rodriguez M, Ott H, Paige D, Pietrzak A, Poot F, Schmuth M, Sitek J, Steijlen P, Wehr G, Moreen M, Vahlquist A, Traupe H, Oji V. 先天性鱼鳞病 : 欧洲护理指南, 第二部分. Br J Dermatol 2019. [DOI: 10.1111/bjd.17568] [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]
|
33
|
Chen C, Lim JT, Chia NC, Wang L, Tysinger B, Zissimopolous J, Chong MZ, Wang Z, Koh GC, Yuan JM, Tan KB, Chia KS, Cook AR, Malhotra R, Chan A, Ma S, Ng TP, Koh WP, Goldman DP, Yoong J. The Long-Term Impact of Functional Disability on Hospitalization Spending in Singapore. J Econ Ageing 2019; 14:100193. [PMID: 31857943 PMCID: PMC6922027 DOI: 10.1016/j.jeoa.2019.02.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Singapore is one of the fastest-aging populations due to increased life expectancy and lowered fertility. Lifestyle changes increase the burden of chronic diseases and disability. These have important implications for social protection systems. The goal of this paper is to model future functional disability and healthcare expenditures based on current trends. To project the health, disability and hospitalization spending of future elders, we adapted the Future Elderly Model (FEM) to Singapore. The FEM is a dynamic Markov microsimulation model developed in the US. Our main source of population data was the Singapore Chinese Health Study (SCHS) consisting of 63,000 respondents followed up over three waves from 1993 to 2010. The FEM model enables us to investigate the effects of disability compounded over the lifecycle and hospitalization spending, while adjusting for competing risk of multi-comorbidities. Results indicate that by 2050, 1 in 6 elders in Singapore will have at least one ADL disability and 1 in 3 elders will have at least one IADL disability, an increase from 1 in 12 elders and 1 in 5 elders respectively in 2014. The highest prevalence of functional disability will be in those aged 85 years and above. Lifetime hospitalization spending of elders aged 55 and above is US$24,400 (30.2%) higher among people with functional disability compared to those without disability. Policies that successfully tackle diabetes and promote healthy living may reduce or delay the onset of disability, leading to potential saving. In addition, further technological improvements may reduce the financial burden of disability.
Collapse
Affiliation(s)
- C Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Schaeffer Center for Health Policy and Economics, University of Southern California, USA
| | - JT Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - NC Chia
- Department of Economics, National University of Singapore, Singapore
| | - L Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - B Tysinger
- Schaeffer Center for Health Policy and Economics, University of Southern California, USA
| | - J Zissimopolous
- Schaeffer Center for Health Policy and Economics, University of Southern California, USA
| | - MZ Chong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Z Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - GC Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - JM Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - KB Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Policy Research and Economics Office, Ministry of Health, Singapore
| | - KS Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - AR Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - R Malhotra
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - A Chan
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - S Ma
- Epidemiology & Disease Control Division, Ministry of Health, Singapore
| | - TP Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - WP Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - DP Goldman
- Schaeffer Center for Health Policy and Economics, University of Southern California, USA
| | - J Yoong
- Center for Economic and Social Research, University of Southern California, USA
| |
Collapse
|
34
|
Mazereeuw-Hautier J, Vahlquist A, Traupe H, Bygum A, Amaro C, Aldwin M, Audouze A, Bodemer C, Bourrat E, Diociaiuti A, Dolenc-Voljc M, Dreyfus I, El Hachem M, Fischer J, Gånemo A, Gouveia C, Gruber R, Hadj-Rabia S, Hohl D, Jonca N, Ezzedine K, Maier D, Malhotra R, Rodriguez M, Ott H, Paige DG, Pietrzak A, Poot F, Schmuth M, Sitek JC, Steijlen P, Wehr G, Moreen M, O'Toole EA, Oji V, Hernandez-Martin A. Management of congenital ichthyoses: European guidelines of care, part one. Br J Dermatol 2018; 180:272-281. [PMID: 30216406 DOI: 10.1111/bjd.17203] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2018] [Indexed: 12/21/2022]
Abstract
These guidelines for the management of congenital ichthyoses have been developed by a multidisciplinary group of European experts following a systematic review of the current literature, an expert conference held in Toulouse in 2016 and a consensus on the discussions. They summarize evidence and expert-based recommendations and are intended to help clinicians with the management of these rare and often complex diseases. These guidelines comprise two sections. This is part one, covering topical therapies, systemic therapies, psychosocial management, communicating the diagnosis and genetic counselling.
Collapse
Affiliation(s)
- J Mazereeuw-Hautier
- Reference Centre for Rare Skin Diseases, Dermatology Department, Larrey Hospital, Toulouse, France
| | - A Vahlquist
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - H Traupe
- Department of Dermatology, University Hospital of Münster, Von-Esmarch-Straße 58,, D-48149, Münster, Germany
| | - A Bygum
- Department of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark
| | - C Amaro
- Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - M Aldwin
- Ichthyosis Support Group, PO Box 1242, Yateley, GU47 7FL, U.K
| | - A Audouze
- Association Ichtyose France, Bellerive sur Allier, France
| | - C Bodemer
- Department of Dermatology, Reference Center for Genodermatoses and Rare Skin Diseases (MAGEC), Paris, France.,Institut Imagine, Université Descartes, Sorbonne Paris Cité, Hôpital Necker-Enfants Malades, Paris
| | - E Bourrat
- Department of Dermatology, Reference Center for Genodermatoses and Rare Skin Diseases (MAGEC), Paris, France
| | - A Diociaiuti
- Dermatology Division, Bambino Gesù Children's Hospital-IRCCS, Rome, Italy
| | - M Dolenc-Voljc
- Department of Dermatovenereology, University Medical Centre Ljubljana, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - I Dreyfus
- Reference Centre for Rare Skin Diseases, Dermatology Department, Larrey Hospital, Toulouse, France
| | - M El Hachem
- Dermatology Division, Bambino Gesù Children's Hospital-IRCCS, Rome, Italy
| | - J Fischer
- Institute of Human Genetics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - A Gånemo
- Department of Dermatology, Institute of Clinical Research in Malmö, Skåne University Hospital, Lund University, Malmö, Sweden
| | - C Gouveia
- Department of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - R Gruber
- Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria
| | - S Hadj-Rabia
- Department of Dermatology, Reference Center for Genodermatoses and Rare Skin Diseases (MAGEC), Paris, France.,Institut Imagine, Université Descartes, Sorbonne Paris Cité, Hôpital Necker-Enfants Malades, Paris
| | - D Hohl
- Department of Dermatology, Hôpital de Beaumont, Lausanne, Switzerland
| | - N Jonca
- Epithelial Differentiation and Rheumatoid Autoimmunity Unit (UDEAR), UMR 1056 Inserm - Toulouse 3 University, Purpan Hospital, Toulouse, France
| | - K Ezzedine
- Department of Dermatology, Hôpital Henri Mondor, EA EpiDerm, UPEC-Université Paris-Est Créteil, 94010, Créteil, France
| | - D Maier
- Dermatology Department, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - R Malhotra
- Corneoplastic Unit, Queen Victoria Hospital NHS Trust, East Grinstead, U.K
| | - M Rodriguez
- Department of Ear, Nose and Throat, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - H Ott
- Division of Pediatric Dermatology and Allergology, Auf Der Bult Children's Hospital, Hanover, Germany
| | - D G Paige
- Department of Dermatology, Royal London Hospital, Barts Health NHS Trust, London, E1 1BB, U.K
| | - A Pietrzak
- Department of Dermatology, Venereology and Paediatric Dermatology, Medical University of Lublin, Lublin, Poland
| | - F Poot
- ULB-Erasme Hospital, Department of Dermatology, Brussels, Belgium
| | - M Schmuth
- Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria
| | - J C Sitek
- Department of Dermatology and Centre for Rare Disorders, Oslo University Hospital, Oslo, Norway
| | - P Steijlen
- Department of Dermatology, Maastricht University Medical Centre, GROW Research School for Oncology and Developmental Biology, Maastricht, the Netherlands
| | - G Wehr
- Selbsthilfe Ichthyose, Kürten, Germany
| | - M Moreen
- Department of Dermatology, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology and Immunology, KU Leuven, Belgium
| | - E A O'Toole
- Centre for Cell Biology and Cutaneous Research, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, U.K
| | - V Oji
- Department of Dermatology, University Hospital of Münster, Von-Esmarch-Straße 58,, D-48149, Münster, Germany.,Hautarztpraxis am Buddenturm, Rudolf-von-Langen-Straße 55, D-48147, Münster, Germany
| | | |
Collapse
|
35
|
Mazereeuw-Hautier J, Hernández-Martín A, O'Toole EA, Bygum A, Amaro C, Aldwin M, Audouze A, Bodemer C, Bourrat E, Diociaiuti A, Dolenc-Voljč M, Dreyfus I, El Hachem M, Fischer J, Ganemo A, Gouveia C, Gruber R, Hadj-Rabia S, Hohl D, Jonca N, Ezzedine K, Maier D, Malhotra R, Rodriguez M, Ott H, Paige DG, Pietrzak A, Poot F, Schmuth M, Sitek JC, Steijlen P, Wehr G, Moreen M, Vahlquist A, Traupe H, Oji V. Management of congenital ichthyoses: European guidelines of care, part two. Br J Dermatol 2018; 180:484-495. [PMID: 29897631 DOI: 10.1111/bjd.16882] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2018] [Indexed: 01/03/2023]
Abstract
These guidelines for the management of congenital ichthyoses have been developed by a multidisciplinary group of European experts following a systematic review of the current literature, an expert conference held in Toulouse in 2016, and a consensus on the discussions. These guidelines summarize evidence and expert-based recommendations and intend to help clinicians with the management of these rare and often complex diseases. These guidelines comprise two sections. This is part two, covering the management of complications and the particularities of some forms of congenital ichthyosis.
Collapse
Affiliation(s)
- J Mazereeuw-Hautier
- Reference Centre for Rare Skin Diseases, Dermatology Department, Larrey Hospital, Toulouse, France
| | | | - E A O'Toole
- Centre for Cell Biology and Cutaneous Research, Blizard Institute, Barts, and the London School of Medicine and Dentistry, Queen Mary University of London, London, U.K
| | - A Bygum
- Department of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark
| | - C Amaro
- Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal
| | - M Aldwin
- Ichthyosis Support Group, PO Box 1242, Yateley, GU47 7FL, U.K
| | - A Audouze
- Association Ichtyose France, Bellerive sur Allier, France
| | - C Bodemer
- Department of Dermatology, Reference Center for Genodermatoses and Rare Skin Diseases (MAGEC), Hôpital Saint-Louis, Paris, France.,Institut Imagine, Université Descartes, Sorbonne Paris Cité, Hôpital Necker-Enfants Malades, Paris, France
| | - E Bourrat
- Department of Dermatology, Reference Center for Genodermatoses and Rare Skin Diseases (MAGEC), Hôpital Saint-Louis, Paris, France
| | - A Diociaiuti
- Dermatology Division, Bambino Gesù Children's Hospital-IRCCS, Rome, Italy
| | - M Dolenc-Voljč
- Department of Dermatovenereology, University Medical Centre Ljubljana, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - I Dreyfus
- Reference Centre for Rare Skin Diseases, Dermatology Department, Larrey Hospital, Toulouse, France
| | - M El Hachem
- Dermatology Division, Bambino Gesù Children's Hospital-IRCCS, Rome, Italy
| | - J Fischer
- Institute of Human Genetics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - A Ganemo
- Department of Dermatology, Institute of Clinical Research in Malmö, Skåne University Hospital, Lund University, Malmö, Sweden
| | - C Gouveia
- Department of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - R Gruber
- Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria
| | - S Hadj-Rabia
- Department of Dermatology, Reference Center for Genodermatoses and Rare Skin Diseases (MAGEC), Hôpital Saint-Louis, Paris, France.,Institut Imagine, Université Descartes, Sorbonne Paris Cité, Hôpital Necker-Enfants Malades, Paris, France
| | - D Hohl
- Department of Dermatology, Hôpital de Beaumont, Lausanne, Switzerland
| | - N Jonca
- Epithelial Differentiation and Rheumatoid Autoimmunity Unit (UDEAR), UMR 1056 Inserm - Toulouse 3 University, Purpan Hospital, Toulouse, France
| | - K Ezzedine
- Depatment of Dermatology, Hôpital Henri Mondor, EA EpiDerm, UPEC-Université Paris-Est Créteil, 94010, Créteil, France
| | - D Maier
- Dermatology Department, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - R Malhotra
- Corneoplastic Unit, Queen Victoria Hospital NHS Trust, East Grinstead, West Sussex, U.K
| | - M Rodriguez
- Department of Ear, Nose and Throat, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - H Ott
- Division of Pediatric Dermatology and Allergology, Auf Der Bult Children's Hospital, Hanover, Germany
| | - D G Paige
- Department of Dermatology, Royal London Hospital, Barts Health NHS Trust, London, E1 1BB, U.K
| | - A Pietrzak
- Department of Dermatology, Venereology and Paediatric Dermatology, Medical University of Lublin, Lublin, Poland
| | - F Poot
- ULB-Erasme Hospital, Department of Dermatology, Brussels, Belgium
| | - M Schmuth
- Department of Dermatology, Venereology and Allergology, Medical University of Innsbruck, Innsbruck, Austria
| | - J C Sitek
- Department of Dermatology and Centre for Rare Disorders, Oslo University Hospital, Oslo, Norway
| | - P Steijlen
- Department of Dermatology, Maastricht University Medical Centre, GROW Research School for Oncology and Developmental Biology, Maastricht, the Netherlands
| | - G Wehr
- Selbsthilfe Ichthyose, Kürten, Germany
| | - M Moreen
- Department of Dermatology, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology and Immunology KU Leuven, Leuven, Belgium
| | - A Vahlquist
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - H Traupe
- Department of Dermatology, University Hospital of Münster, Von-Esmarch-Straße 58, D-48149, Münster, Germany
| | - V Oji
- Department of Dermatology, University Hospital of Münster, Von-Esmarch-Straße 58, D-48149, Münster, Germany.,Hautarztpraxis am Buddenturm, Rudolf-von-Langen-Straße 55, D-48147, Münster, Germany
| |
Collapse
|
36
|
Maulod A, Goh V, Malhotra R, Manap N, Chan A. VITALITY LIES IN LIFE, LIFE LIES IN LEARNING: BENEFITS AND CHALLENGES OF OLDER ADULT LEARNING IN SINGAPORE. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- A Maulod
- Centre for Ageing Research & Education, Duke-NUS Medical School, Singapore, Singapore
| | - V Goh
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - R Malhotra
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - N Manap
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - A Chan
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore
| |
Collapse
|
37
|
Malhotra R, Adlina Bte Maulod N, May Ling June L, Hak Land Grand C, Leng Leng T, Chan A. CULTURAL CONSTRUCTIONS, MOTIVATIONS, AND MANIFESTATIONS OF GENERATIVITY IN LATER LIFE. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- R Malhotra
- Duke-NUS Medical School, Singapore, Singapore
| | - N Adlina Bte Maulod
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - L May Ling June
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - C Hak Land Grand
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
| | - T Leng Leng
- Department of Japanese Studies, Faculty of Arts and Social Sciences, National University of Singapore, Singapore:
| | - A Chan
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore: Department of Sociology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore
| |
Collapse
|
38
|
Malhotra R, Chei C, Allen J, Chan A, Tan K, Ma S, Wong C, Matchar D. FRAILTY ASSESSMENT MEASURE FOR THE ELDERLY (FAME): A FRAILTY MEASURE DEVELOPED IN AN ASIAN POPULATION. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
| | - C Chei
- Duke-NUS Medical School, Singapore
| | - J Allen
- Duke-NUS Medical School, Singapore
| | - A Chan
- Duke-NUS Medical School, Singapore
| | - K Tan
- Ministry of Health, Singapore
| | - S Ma
- Ministry of Health, Singapore
| | - C Wong
- Geriatric Education and Research Institute
| | | |
Collapse
|
39
|
Gillespie T, Dhillon P, Ward K, Aggarwal A, Bumb D, Kondal D, Kaushik N, Mohan D, Mohan V, Swaminathan R, Rama R, Manoharan N, Malhotra R, Rath G, Tandon N, Goodman M, Prabhakaran D. Feasibility and Results of Cancer Registry and Noncommunicable Disease Cohort Data Linkages in India. J Glob Oncol 2018. [DOI: 10.1200/jgo.18.53600] [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] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background: Cancer registries worldwide are vital to determine cancer burden, plan cancer control measures, and facilitate research. Population-based cancer registries are a priority for LMICs by the UICC; the National Cancer Registry Program (NCRP) of India oversees 28 such registries. A primary function of registries is to combine data for the same individual from multiple sources. For other disease cohorts where cancer is an outcome of interest, registries can potentially connect information by linking datasets together. Barriers to successful registration and linkages include systems in which cancer is not a notifiable disease, no universal unique individual identifier exists, and lack of trained personnel. This study utilizes technology and infrastructure to develop better linkages, surveillance, and outcomes. Aim: To assess the feasibility of linking large cohorts designed for cardio-metabolic disease research with cancer registries in New Delhi and Chennai; determine additional steps required for linkage accuracy and completeness; and develop detailed protocols for future applications. Methods: A pilot protocol for linkage between a large diabetes cohort and cancer registries in Delhi and Chennai was developed using MatchPro, a probabilistic record linkage program developed for cancer registries. Probabilistic software links datasets together in the presence of uncertainty (eg misspelled or abbreviated names) to identify record pairs with high probability of representing the same individual. For this study, algorithms were developed to address unique aspects of names and demographics in India. The software and algorithms focused on: detecting duplicates in cancer registries; and linking registries with external files from diabetes cohorts. In Delhi, 3 1-year datasets covering 3 years (2010, 2011, 2012) were linked with the diabetes cohort; in Chennai, the linkage included 3 5-year datasets covering 15 years (2000-04, '05-'09, '10-'14). The unique ID (Aadhaar) is not collected or linked systematically between different systems at this point in time. Results: Linkage attempts yielded potential matches ranked according to probabilistic scores; highest scores were reviewed to determine true matches. In Chennai, this process yielded: (2010-2014) 21% self-reported (SR) cases matching perfectly, 36% requiring follow-up, 13 nonreported (NR) cases found; 2005-2009: 33% SR cases matched perfectly, 1 NR case found; 2000-2004: 1 NR case. Also, 2 training workshops on data linkages and software were held. Conclusion: Linkages between cancer registries and other data sources are feasible in LMICs using probabilistic record linkage software augmented by manual matching. Future efforts to use existing epidemiologic resources (cohorts) and cancer research infrastructure (registries and clinical centers) can enhance research including understanding shared risk factors and pathophysiologic mechanisms e.g., between cancer and other NCD.
Collapse
Affiliation(s)
| | | | - K. Ward
- Emory University, Surgery, Atlanta, GA
| | | | - D. Bumb
- Emory University, Surgery, Atlanta, GA
| | - D. Kondal
- Emory University, Surgery, Atlanta, GA
| | | | - D. Mohan
- Emory University, Surgery, Atlanta, GA
| | - V. Mohan
- Emory University, Surgery, Atlanta, GA
| | | | - R. Rama
- Emory University, Surgery, Atlanta, GA
| | | | | | - G. Rath
- Emory University, Surgery, Atlanta, GA
| | - N. Tandon
- Emory University, Surgery, Atlanta, GA
| | | | | |
Collapse
|
40
|
Eachempati KK, Malhotra R, Pichai S, Reddy AVG, Podhili Subramani AK, Gautam D, Bollavaram VR, Sheth NP. Results of trabecular metal augments in Paprosky IIIA and IIIB defects. Bone Joint J 2018; 100-B:903-908. [DOI: 10.1302/0301-620x.100b7.bjj-2017-1604.r1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [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: 11/05/2022]
Abstract
Aims The advent of trabecular metal (TM) augments has revolutionized the management of severe bone defects during acetabular reconstruction. The purpose of this study was to evaluate patients undergoing revision total hip arthroplasty (THA) with the use of TM augments for reconstruction of Paprosky IIIA and IIIB defects. Patients and Methods A retrospective study was conducted at four centres between August 2008 and January 2015. Patients treated with TM augments and TM shell for a Paprosky grade IIIA or IIIB defect, in the absence of pelvic discontinuity, and who underwent revision hip arthroplasty with the use of TM augments were included in the study. A total of 41 patients with minimum follow-up of two years were included and evaluated using intention-to-treat analysis. Results There were 36 (87.8%) patients with a Paprosky IIIA defect and five (12.2%) patients with a Paprosky IIIB defect. The mean age was 56.7 years (28 to 94). There were 21 (51.2%) women and 20 (48.8%) men. The mean follow-up was 39.4 months (12 to 96). One (2%) patient died after eight years. No failures were noted in the series. The mean survivorship was 100% at the time of latest follow-up. Conclusion The results of this multicentre study showed encouraging short- and mid-term results for the use of TM augments in the management of Paprosky grade IIIA and IIIB defects. Cite this article: Bone Joint J 2018;100-B:903–8.
Collapse
Affiliation(s)
- K. K. Eachempati
- Department of Orthopaedics, Max Cure Hospitals, Hyderabad, India
| | - R. Malhotra
- Department of Orthopaedics, All India
Institute of Medical Sciences, New Delhi, India
| | - S. Pichai
- Asian Joint Reconstruction Institute, Chennai, India
| | | | | | - D. Gautam
- Department of Orthopaedics, All India
Institute of Medical Sciences, New Delhi, India
| | - V. R. Bollavaram
- Department of Orthopaedics, Max Cure Hospitals, Hyderabad, India
| | - N. P. Sheth
- Department of Orthopaedic Surgery, University
of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| |
Collapse
|
41
|
Malhotra R, Krasnitz A, Sethi A, Lehnert E, Williams EH, Brandi DDN. Abstract 2348: Low-cost and accurate human leukocyte antigen (HLA) class I typing of The Cancer Genome Atlas on the Seven Bridges Cancer Genomics Cloud. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-2348] [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] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The Cancer Genome Atlas (TCGA)network has generated more than2.5petabytes of genomic dataover the last decade, with
petabyte-scale additions of dataexpected inthe coming years. Access and analysis of this informationonalocal compute
environment is challenging due tothe volume of dataand lack of sufficient computing resources at many research organizations.
The Cancer Genomics Cloud Pilot project from the National Cancer Institute (NCI)has helped indemocratizing access toTCGA
by co-localizing datawith computational resources onthe cloud. Funded as part of this project, the SevenBridges Cancer
Genomics Cloud (CGC)hosts nearly 5petabytes of public datafrom TCGA, the Simons Genome Diversity Project, the
Therapeutically Applicable Research toGenerate Effective Treatments (TARGET)initiative, The Cancer Imaging Archive (TCIA),
and the Clinical Proteomic Tumor Analysis Consortium (CPTAC). The CGCprovides academic researchers with asecure,
scalable, cloud-based cancer research platform that includes collaborative tools for accessing, uploading, analyzing, and
visualizing data. The platform uses resource descriptionframeworks, dataharmonization, and metadatacurationtofacilitate
effective querying, and bioinformatics tools are implemented onthe CGCusing the CommonWorkflow Language (CWL), an
emerging standard for describing computational workflows, tosupport computational reproducibility. Since its launch in2016, the
CGChas enabled researchers from around the world tounderstand humangenetics and cancer biology through the analysis of
large public datasets and private datainacloud computing environment. Inthis poster, we present anexample of analysis of
TCGAdataonthe CGC. The OptiType tool for HumanLeukocyte Antigenclass I typing was used toprofile 8,872RNA-Seq
samples present inthe TCGAdataset. All samples were accurately processed within2days using arobust, fault-tolerant, and
cost-efficient CWL descriptionof OptiType that enabled analysis for less than50cents per sample onaverage. This case study
demonstrates how cloud computing resources canfacilitate the successful analysis of large cohorts of datausing custom
pipelines in a robust, scalable, and reproducible manner.
Citation Format: Raunaq Malhotra, Alexandar Krasnitz, Anurag Sethi, Erik Lehnert, Elizabeth H. Williams, Davis-Dusenbery N. Brandi. Low-cost and accurate human leukocyte antigen (HLA) class I typing of The Cancer Genome Atlas on the Seven Bridges Cancer Genomics Cloud [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2348.
Collapse
|
42
|
Dimri S, Malhotra R, Shet T, Gupta S, De A. PO-185 Non-canonical S727 STAT3 PTM activation governs its dimerization and downstream function in triple negative breast cancer. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.706] [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] Open
|
43
|
Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2018; 48:812-830.e14. [PMID: 29628290 PMCID: PMC5982584 DOI: 10.1016/j.immuni.2018.03.023] [Citation(s) in RCA: 3110] [Impact Index Per Article: 518.3] [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: 07/21/2017] [Revised: 01/23/2018] [Accepted: 03/21/2018] [Indexed: 02/08/2023]
Abstract
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes-wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant-characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratio, extent of intratumoral heterogeneity, aneuploidy, extent of neoantigen load, overall cell proliferation, expression of immunomodulatory genes, and prognosis. Specific driver mutations correlated with lower (CTNNB1, NRAS, or IDH1) or higher (BRAF, TP53, or CASP8) leukocyte levels across all cancers. Multiple control modalities of the intracellular and extracellular networks (transcription, microRNAs, copy number, and epigenetic processes) were involved in tumor-immune cell interactions, both across and within immune subtypes. Our immunogenomics pipeline to characterize these heterogeneous tumors and the resulting data are intended to serve as a resource for future targeted studies to further advance the field.
Collapse
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| |
Collapse
|
44
|
Tan P, Wong J, Siah WF, Malhotra R. Outcomes of lower eyelid retractor recession and lateral horn lysis in lower eyelid elevation for facial nerve palsy. Eye (Lond) 2018; 32:338-344. [PMID: 28862257 PMCID: PMC5811694 DOI: 10.1038/eye.2017.174] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 07/02/2017] [Indexed: 01/04/2023] Open
Abstract
PurposeTo report outcomes and complications of lower eyelid retractor recession and lateral horn lysis (RR) for lower eyelid elevation in patients with facial nerve palsy (FNP).Patients and methodsRetrospective review. Patients with FNP undergoing RR alone (group 1) or with adjunctive procedures (canthal suspension-group 2, tarsorrhaphy-group 3, and full-thickness skin graft-group 4) during a 5-year period were included. Patient demographics, lagophthalmos, occurrence of eyelid malpositions, recurrent retraction, and repeat procedures were noted from medical records. Measures of lower eyelid height (LEH) and lid lag on downgaze were obtained from standard photographs.ResultsForty-two patients (23 females, mean age was 59 years) were included. Mean follow-up was 24 months (range 6-77). Median improvement in LEH following surgery was significant in Group 1 (0.90 mm, IQR: 0.37-0.91, P=0.20) and in Group 2 (0.51 mm, IQR: 0.30-1.37, P<0.001), respectively. Median improvement in blink lagophthalmos was 3.00 mm (IQR: 3.00-3.50, P=0.02) in Group 1 and 3.50 mm (IQR: 1.75-5.00, P<0.001) in Group 2. Median improvement in lagophthalmos on gentle eye closure was 2.00 mm (IQR: 1.50-3.00, P=0.02) in Group 1 and 1.00 mm (IQR: 0-2.13, P=0.006) in Group 2. No new cases of ectropion were noted. 23.5% of patients required a repeat RR at a mean interval of 20 (range 1-70) months and a further 9.8% required a third procedure at a mean interval of 21 (range 18-29) months.ConclusionRR improves lower eyelid retraction and lagophthalmos in FNP either alone or when combined as an adjunctive procedure. It does not aggravate paralytic ectropion although repeated retractor recessions may be required to improve retraction.
Collapse
Affiliation(s)
- P Tan
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
- Department of Ophthalmology, Ng Teng Fong General Hospital, National University Health System, Singapore
| | - J Wong
- Clinical Research Unit, Ng Teng Fong General Hospital, National University Health System, Singapore
| | - W F Siah
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| | - R Malhotra
- Corneoplastic Unit, Queen Victoria Hospital NHS Foundation Trust, East Grinstead, UK
| |
Collapse
|
45
|
Affiliation(s)
- R Malhotra
- Division of Nephrology and Hypertension, University of California San Diego, CA, USA
| | - O Al Nimri
- Division of Nephrology and Hypertension, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| |
Collapse
|
46
|
Malhotra R, Seth I, Lehnert E, Zhao J, Kaushik G, Williams EH, Sethi A, Davis-Dusenbery BN. Using the Seven Bridges Cancer Genomics Cloud to Access and Analyze Petabytes of Cancer Data. ACTA ACUST UNITED AC 2017; 60:11.16.1-11.16.32. [PMID: 29220078 DOI: 10.1002/cpbi.39] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Next-generation sequencing has produced petabytes of data, but accessing and analyzing these data remain challenging. Traditionally, researchers investigating public datasets like The Cancer Genome Atlas (TCGA) would download the data to a high-performance cluster, which could take several weeks even with a highly optimized network connection. The National Cancer Institute (NCI) initiated the Cancer Genomics Cloud Pilots program to provide researchers with the resources to process data with cloud computational resources. We present protocols using one of these Cloud Pilots, the Seven Bridges Cancer Genomics Cloud (CGC), to find and query public datasets, bring your own data to the CGC, analyze data using standard or custom workflows, and benchmark tools for accuracy with interactive analysis features. These protocols demonstrate that the CGC is a data-analysis ecosystem that fully empowers researchers with a variety of areas of expertise and interests to collaborate in the analysis of petabytes of data. © 2017 by John Wiley & Sons, Inc.
Collapse
Affiliation(s)
| | - Isheeta Seth
- Seven Bridges Genomics Inc, Cambridge, Massachusetts
| | - Erik Lehnert
- Seven Bridges Genomics Inc, Cambridge, Massachusetts
| | - Jing Zhao
- Seven Bridges Genomics Inc, Cambridge, Massachusetts
| | | | | | - Anurag Sethi
- Seven Bridges Genomics Inc, Cambridge, Massachusetts
| | | |
Collapse
|
47
|
Lau JW, Lehnert E, Sethi A, Malhotra R, Kaushik G, Onder Z, Groves-Kirkby N, Mihajlovic A, DiGiovanna J, Srdic M, Bajcic D, Radenkovic J, Mladenovic V, Krstanovic D, Arsenijevic V, Klisic D, Mitrovic M, Bogicevic I, Kural D, Davis-Dusenbery B. The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational Research. Cancer Res 2017; 77:e3-e6. [PMID: 29092927 DOI: 10.1158/0008-5472.can-17-0387] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 04/05/2017] [Accepted: 07/17/2017] [Indexed: 11/16/2022]
Abstract
The Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Cancer Genome Atlas. It provides secure on-demand access to data, analysis tools, and computing resources. Researchers from diverse backgrounds can easily visualize, query, and explore cancer genomic datasets visually or programmatically. Data of interest can be immediately analyzed in the cloud using more than 200 preinstalled, curated bioinformatics tools and workflows. Researchers can also extend the functionality of the platform by adding their own data and tools via an intuitive software development kit. By colocalizing these resources in the cloud, the CGC enables scalable, reproducible analyses. Researchers worldwide can use the CGC to investigate key questions in cancer genomics. Cancer Res; 77(21); e3-6. ©2017 AACR.
Collapse
Affiliation(s)
| | - Erik Lehnert
- Seven Bridges Genomics, Cambridge, Massachusetts
| | - Anurag Sethi
- Seven Bridges Genomics, Cambridge, Massachusetts
| | | | | | - Zeynep Onder
- Seven Bridges Genomics, Cambridge, Massachusetts
| | | | | | | | - Mladen Srdic
- Seven Bridges Genomics, Cambridge, Massachusetts
| | | | | | | | | | | | | | | | | | - Deniz Kural
- Seven Bridges Genomics, Cambridge, Massachusetts
| | | |
Collapse
|
48
|
Prakash A, Malhotra R. Co(II), Ni(II), Cu(II) and Zn(II) complexes of aminothiazole‐derived Schiff base ligands: Synthesis, characterization, antibacterial and cytotoxicity evaluation, bovine serum albumin binding and density functional theory studies. Appl Organomet Chem 2017. [DOI: 10.1002/aoc.4098] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- A. Prakash
- Guru Jambheshwar University of Science and Technology Hissar 125001 Haryana India
| | - R. Malhotra
- Guru Jambheshwar University of Science and Technology Hissar 125001 Haryana India
| |
Collapse
|
49
|
Kumar N, Malhotra R, Zaw A, Maharajan K, Naresh N, Kumar A, Vellayappan B. Evolution in treatment strategy for metastatic spine disease: Presently evolving modalities. Eur J Surg Oncol 2017; 43:1784-1801. [DOI: 10.1016/j.ejso.2017.05.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 03/07/2017] [Accepted: 05/05/2017] [Indexed: 01/01/2023] Open
|
50
|
Antus Z, Salam A, Horvath E, Malhotra R. Outcomes for severe aponeurotic ptosis using posterior approach white-line advancement ptosis surgery. Eye (Lond) 2017; 32:81-86. [PMID: 28776587 DOI: 10.1038/eye.2017.128] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2016] [Accepted: 05/22/2017] [Indexed: 11/09/2022] Open
Abstract
PurposeThe purpose of the study was to report the outcome of posterior approach white-line advancement surgery for severe involutional aponeurotic ptosis.Patients and methodsThis was a retrospective review of an interventional case series of all patients undergoing surgery for severe involutional aponeurotic ptosis during a 42-month period at a single center. The inclusion criteria were severe involutional ptosis (upper eyelid margin reflex distance (MRD) ≤1 mm) undergoing posterior approach surgery. There was minimum 3-month follow-up. The main outcome measures were type of ptosis (primary or recurrent), preoperative margin reflex distance, levator function and eyelid skin crease height, presence of visible iris sign (VIS), documented unusual intraoperative findings, postoperative complications, and follow-up time.ResultsOf the 836 procedures for ptosis, 122 procedures (76 patients) met the inclusion criteria for this study. Mean postoperative follow-up was 28 (median 18, range 12-98) weeks. Success rates were 80.3% (98/122) overall, 81.5% (66/81) in the non-VIS group, and 78% (32/41) in the VIS group. There was no significant difference between the two groups (P=0.411). Failures were due to undercorrection, with <2 mm MRD in 75% (18/24), overcorrection with >4.5 mm MRD in 16.7% (4/24), and inter-eyelid height asymmetry of >1 mm in 8.3% (2/122).ConclusionsOutcomes of ptosis surgery for severe aponeurotic ptosis using a posterior approach white-line advancement are comparable to, and possibly better than, anterior approach in eyelids with VIS.
Collapse
Affiliation(s)
- Z Antus
- Corneoplastic Unit, Queen Victoria Hospital, East Grinstead, UK.,Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | - A Salam
- Corneoplastic Unit, Queen Victoria Hospital, East Grinstead, UK
| | - E Horvath
- Cardiovascular Disease Prevention Foundation, Budapest, Hungary
| | - R Malhotra
- Corneoplastic Unit, Queen Victoria Hospital, East Grinstead, UK
| |
Collapse
|