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Roy S, Kapoor R, Mathur P. Revisiting Changes in Growth, Physiology and Stress Responses of Plants under the Effect of Enhanced CO2 and Temperature. Plant Cell Physiol 2024; 65:4-19. [PMID: 37935412 DOI: 10.1093/pcp/pcad121] [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] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/07/2023] [Accepted: 10/09/2023] [Indexed: 11/09/2023]
Abstract
Climate change has universally affected the whole ecosystem in a unified manner and is known to have improbable effects on agricultural productivity and food security. Carbon dioxide (CO2) and temperature are the major environmental factors that have been shown to increase sharply during the last century and are directly responsible for affecting plant growth and development. A number of previous investigations have deliberated the positive effects of elevated CO2 on plant growth and development of various C3 crops, while detrimental effects of enhanced temperature on different crop plants like rice, wheat, maize and legumes are generally observed. A combined effect of elevated CO2 and temperature has yet to be studied in great detail; therefore, this review attempts to delineate the interactive effects of enhanced CO2 and temperature on plant growth, development, physiological and molecular responses. Elevated CO2 maintains leaf photosynthesis rate, respiration, transpiration and stomatal conductance in the presence of elevated temperature and sustains plant growth and productivity in the presence of both these environmental factors. Concomitantly, their interaction also affects the nutritional quality of seeds and leads to alterations in the composition of secondary metabolites. Elevated CO2 and temperature modulate phytohormone concentration in plants, and due to this fact, both environmental factors have substantial effects on abiotic and biotic stresses. Elevated CO2 and temperature have been shown to have mitigating effects on plants in the presence of other abiotic stress agents like drought and salinity, while no such pattern has been observed in the presence of biotic stress agents. This review focuses on the interactive effects of enhanced CO2 and temperature on different plants and is the first of its kind to deliver their combined responses in such detail.
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Affiliation(s)
- Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal 734013, India
| | - Rupam Kapoor
- Department of Botany, University of Delhi, Delhi 110007, India
| | - Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal 734013, India
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Toppo P, Jangir P, Mehra N, Kapoor R, Mathur P. Bioprospecting of endophytic fungi from medicinal plant Anisomeles indica L. for their diverse role in agricultural and industrial sectors. Sci Rep 2024; 14:588. [PMID: 38182714 PMCID: PMC10770348 DOI: 10.1038/s41598-023-51057-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 12/29/2023] [Indexed: 01/07/2024] Open
Abstract
Endophytes are microorganisms that inhabit various plant parts and cause no damage to the host plants. During the last few years, a number of novel endophytic fungi have been isolated and identified from medicinal plants and were found to be utilized as bio-stimulants and bio fertilizers. In lieu of this, the present study aims to isolate and identify endophytic fungi associated with the leaves of Anisomeles indica L. an important medicinal plant of the Terai-Duars region of West Bengal. A total of ten endophytic fungi were isolated from the leaves of A. indica and five were identified using ITS1/ITS4 sequencing based on their ability for plant growth promotion, secondary metabolite production, and extracellular enzyme production. Endophytic fungal isolates were identified as Colletotrichum yulongense Ai1, Colletotrichum cobbittiense Ai2, Colletotrichum alienum Ai2.1, Colletotrichum cobbittiense Ai3, and Fusarium equiseti. Five isolates tested positive for their plant growth promotion potential, while isolates Ai4. Ai1, Ai2, and Ai2.1 showed significant production of secondary metabolites viz. alkaloids, phenolics, flavonoids, saponins, etc. Isolate Ai2 showed maximum total phenolic concentration (25.98 mg g-1), while isolate Ai4 showed maximum total flavonoid concentration (20.10 mg g-1). Significant results were observed for the production of extracellular enzymes such as cellulases, amylases, laccases, lipases, etc. The isolates significantly influenced the seed germination percentage of tomato seedlings and augmented their growth and development under in vitro assay. The present work comprehensively tested these isolates and ascertained their huge application for the commercial utilization of these isolates both in the agricultural and industrial sectors.
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Affiliation(s)
- Prabha Toppo
- Microbiology Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, West Bengal, 734013, India
| | - Pooja Jangir
- Plant-Fungus Interactions Laboratory, Department of Botany, University of Delhi, Delhi, 110007, India
| | - Namita Mehra
- Plant-Fungus Interactions Laboratory, Department of Botany, University of Delhi, Delhi, 110007, India
| | - Rupam Kapoor
- Plant-Fungus Interactions Laboratory, Department of Botany, University of Delhi, Delhi, 110007, India
| | - Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, West Bengal, 734013, India.
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Sankarapillai J, Krishnan S, Ramamoorthy T, Sudarshan KL, Das P, Chaturvedi M, Mathur P. Epidemiology of cancers among older adults in India: findings from the National Cancer Registry Programme. Public Health 2023; 223:230-239. [PMID: 37683494 DOI: 10.1016/j.puhe.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/04/2023] [Accepted: 08/01/2023] [Indexed: 09/10/2023]
Abstract
OBJECTIVE This study describes the epidemiology, clinical extent of disease at diagnosis and treatment modalities of cancer among older adults (aged 60 years and older) in India. STUDY DESIGN Secondary data analysis of the National Cancer Registry Programme, which includes 28 Population-Based Cancer Registries (PBCRs) and 96 Hospital-Based Cancer Registries (HBCRs). METHODS PBCR data were used to estimate the incidence in terms of crude rate (CR), age-adjusted incidence rate (AAR), age-specific rate (ASpR) and cumulative risk. Trends in the AAR were calculated with the Annual Percentage Change (APC) using join-point regression. HBCR data were used to describe the clinical extent of the disease at diagnosis and the treatment modalities. RESULTS There is a wide heterogeneity across the country for the incidence of cancer and for the leading cancer sites among older adults. Males had a higher incidence rate compared to females in the majority of the registries. Aizawl had the highest AARs among both genders (males: 1388.8; females: 1033.0). Females had the highest ASpR at 65-69 years (482.8), whereas for males it was above 75 years (710.4). Cervical, stomach and oesophageal cancers were on the decline. The incidence of cancer among older adults was estimated to increase by 13.5% in 2025 as compared to 2020. CONCLUSION The increasing cancer incidence among older adults in India poses a huge burden on the health system. There is a need to increase their participation in clinical trials, advocating comprehensive geriatric assessment and strengthening geriatric oncology within programs addressing older adult's care to deal with the rising cancer burden on the health system borne by them.
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Affiliation(s)
- J Sankarapillai
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a)
| | - S Krishnan
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a)
| | - T Ramamoorthy
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a)
| | - K L Sudarshan
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a)
| | - P Das
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a)
| | - M Chaturvedi
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a)
| | - P Mathur
- Indian Council of Medical Research - National Centre for Disease Informatics and Research, Nirmal Bhawan-ICMR Complex (II Floor), Poojanahalli, Kannamangala Post, Bengaluru, Karnataka, 562110, India(a).
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Kumar V, Bhongade R, Kumar V, Mathur P, Patel K, Jyothi R R. POSTCHOLECYSTECTOMY SYNDROME: UNDERSTANDING THE CAUSES AND DEVELOPING TREATMENT STRATEGIES FOR PERSISTENT BILIARY SYMPTOMS AFTER GALLBLADDER REMOVAL. Georgian Med News 2023:290-296. [PMID: 37805914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Abstract
Persistent biliary symptoms following gallbladder removal, known as postcholecystectomy (PCS), can significantly impact patients' quality of life. The term PCS describes biliary symptoms that emerge or continue after the surgical removal of the gallbladder. Cholecystectomy is generally a safe procedure; however, some individuals may still experience symptoms of the biliary system thereafter. Biliary stones are more likely to be retained in patients who arrive later. Many of those people won't have a known reason for their condition. Therefore, this group will have fewer therapy alternatives. After a cholecystectomy, up to 10% of individuals may develop PCS. Patients with cholecystectomy procedures can appear with extra-biliary and associated biological illnesses. A wide range of therapeutic options are available for PCS, each having a different chance of being the cause of the condition. The purpose of this study is to present an overview of the many causes of PCS, as well as the effectiveness and prevalence of various treatments. PCS has a variety of etiologies, many of which may be related to extra-biliary reasons that may exist before the operation. From the beginning, an endoscopy of the upper gastrointestinal tract may be necessary when symptoms first appear. Biliary rocks are more likely to be retained in patient presentations that are postponed. PCS has various causes, including extra-biliary conditions that could have existed before operations. Initial symptoms might involve higher digestive problems. As a result, this group will only have a few therapeutic alternatives.
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Affiliation(s)
- V Kumar
- 1Department of Nursing, IIMT University, Meerut, Uttar Pradesh, India
| | - R Bhongade
- 2Department of Ayurveda, Sanskriti University, Mathura, Uttar Pradesh, India
| | - V Kumar
- 3Department of General Surgery, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India
| | - P Mathur
- 4Department of General Surgery, Jaipur National University, Jaipur, India
| | - K Patel
- 5Department of Gynaecology, Parul University, PO Limda, Tal. Waghodia, District Vadodara, Gujarat, India
| | - R Jyothi R
- 6Department of Life Science, School of Sciences, JAIN (Deemed-to-be University), Karnataka, India
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Nazer LH, Zatarah R, Waldrip S, Ke JXC, Moukheiber M, Khanna AK, Hicklen RS, Moukheiber L, Moukheiber D, Ma H, Mathur P. Bias in artificial intelligence algorithms and recommendations for mitigation. PLOS Digit Health 2023; 2:e0000278. [PMID: 37347721 DOI: 10.1371/journal.pdig.0000278] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/24/2023]
Abstract
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such algorithms may be shaped by various factors such as social determinants of health that can influence health outcomes. While AI algorithms have been proposed as a tool to expand the reach of quality healthcare to underserved communities and improve health equity, recent literature has raised concerns about the propagation of biases and healthcare disparities through implementation of these algorithms. Thus, it is critical to understand the sources of bias inherent in AI-based algorithms. This review aims to highlight the potential sources of bias within each step of developing AI algorithms in healthcare, starting from framing the problem, data collection, preprocessing, development, and validation, as well as their full implementation. For each of these steps, we also discuss strategies to mitigate the bias and disparities. A checklist was developed with recommendations for reducing bias during the development and implementation stages. It is important for developers and users of AI-based algorithms to keep these important considerations in mind to advance health equity for all populations.
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Affiliation(s)
- Lama H Nazer
- Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan
| | - Razan Zatarah
- Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan
| | - Shai Waldrip
- Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia, United States of America
| | - Janny Xue Chen Ke
- Department of Medicine, St. Paul's Hospital, University of British Columbia, Dalhousie University, Vancouver, British Columbia, Canada
| | - Mira Moukheiber
- Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Ashish K Khanna
- Department of Anaesthesiology, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina, United States of America
- Perioperative Outcomes and Informatics Collaborative, Winston-Salem, North Carolina, United States of America
- Outcomes Research Consortium, Cleveland, Ohio, United States of America
| | - Rachel S Hicklen
- Research Medical Library, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Lama Moukheiber
- Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Dana Moukheiber
- Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Haobo Ma
- Department of Anaesthesia and Critical Care Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Piyush Mathur
- Department of Anaesthesia and Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio, United States of America
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Toppo P, Kagatay LL, Gurung A, Singla P, Chakraborty R, Roy S, Mathur P. Endophytic fungi mediates production of bioactive secondary metabolites via modulation of genes involved in key metabolic pathways and their contribution in different biotechnological sector. 3 Biotech 2023; 13:191. [PMID: 37197561 PMCID: PMC10183385 DOI: 10.1007/s13205-023-03605-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 05/03/2023] [Indexed: 05/19/2023] Open
Abstract
Endophytic fungi stimulate the production of an enormous number of bioactive metabolites in medicinal plants and affect the different steps of biosynthetic pathways of these secondary metabolites. Endophytic fungi possess a number of biosynthetic gene clusters that possess genes for various enzymes, transcription factors, etc., in their genome responsible for the production of secondary metabolites. Additionally, endophytic fungi also modulate the expression of various genes responsible for the synthesis of key enzymes involved in metabolic pathways of such as HMGR, DXR, etc. involved in the production of a large number of phenolic compounds as well as regulate the expression of genes involved in the production of alkaloids and terpenoids in different plants. This review aims to provide a comprehensive overview of gene expression related to endophytes and their impact on metabolic pathways. Additionally, this review will emphasize the studies done to isolate these secondary metabolites from endophytic fungi in large quantities and assess their bioactivity. Due to ease in synthesis of secondary metabolites and their huge application in the medical industry, these bioactive metabolites are now being extracted from strains of these endophytic fungi commercially. Apart from their application in the pharmaceutical industry, most of these metabolites extracted from endophytic fungi also possess plant growth-promoting ability, bioremediation potential, novel bio control agents, sources of anti-oxidants, etc. The review will comprehensively shed a light on the biotechnological application of these fungal metabolites at the industrial level.
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Affiliation(s)
- Prabha Toppo
- Microbiology Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, Siliguri, West Bengal India
| | - Lahasang Lamu Kagatay
- Microbiology Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, Siliguri, West Bengal India
| | - Ankita Gurung
- Microbiology Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, Siliguri, West Bengal India
| | - Priyanka Singla
- Department of Botany, Mount Carmel College, Bengaluru, Karnataka India
| | - Rakhi Chakraborty
- Department of Botany, Acharya Prafulla Chandra Roy Government College, Dist. Darjeeling, Siliguri, West Bengal India
| | - Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, Siliguri, West Bengal India
| | - Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Rajarammohunpur, Dist. Darjeeling, Siliguri, West Bengal India
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Mathur P, Garg S. Acute Kidney Injury Following Naphthalene (Mothball) Poisoning. Saudi J Kidney Dis Transpl 2023; 34:259-264. [PMID: 38231722 DOI: 10.4103/1319-2442.394000] [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: 01/19/2024] Open
Abstract
Naphthalene is a widely available moth repellant in the Asian subcontinent. Toxicity can occur either accidentally or intentionally as a suicide attempt. An overdose can lead to a variety of clinical symptoms, including intravascular hemolysis, and can sometimes lead to life-threatening clinical situations. A young male was admitted to our center with an alleged history of ingesting an unknown quantity of naphthalene balls (mothballs). He developed methemoglobinemia, intra-vascular hemolysis, anuria, and acute kidney injury (AKI), followed by cardiorespiratory arrest. He was treated successfully with intravenous methylene blue and dialysis. Naphthalene toxicity can lead to methemoglobinemia and intravascular hemolysis. This can result in AKI caused by pigment nephropathy.
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Affiliation(s)
- Piyush Mathur
- Department of Nephrology, Santokba Durlabhji Memorial Hospital, Jaipur, Rajasthan, India
| | - Shalini Garg
- Department of Family Medicine, Santokba Durlabhji Memorial Hospital, Jaipur, Rajasthan, India
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Mathur P, Chakraborty R, Aftab T, Roy S. Engineered nanoparticles in plant growth: Phytotoxicity concerns and the strategies for their attenuation. Plant Physiol Biochem 2023; 199:107721. [PMID: 37156069 DOI: 10.1016/j.plaphy.2023.107721] [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] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 04/11/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023]
Abstract
In the agricultural sector, the use of engineered nanoparticles (ENPs) has been acclaimed as the next big thing for sustaining and increasing crop productivity. A vast amount of literature is available regarding the growth-promoting attributes of different ENPs. In this context, it has been emphasized that the ENPs can bolster vegetative growth, leaf development, and seed setting and also help in mitigating the effects of abiotic and biotic stresses. At the same time, there have been a lot of speculations and concerns regarding the phytotoxicity of ENPs off-late. In this connection, many research articles have presented the negative effects of ENPs on plant systems. These studies have highlighted that almost all the ENPs impart a certain degree of phytotoxicity in terms of reduction in growth, biomass, impairment of photosynthesis, oxidative status of plant cells, etc. Mostly, the ENPs based on metal or metal oxides (Cd, Cr, Pb, Ag, Ce, etc.) and nonmetals (C) that are introduced into the environment are known to incite inhibitory effects. However, the phytotoxicity of ENPs are known to be determined mostly by the chemical nature of the element, size, surface charge, coating molecules, and abiotic factors like pH and light. This review article, therefore, elucidates the phytotoxic properties of different ENPs and the plant responses induced at the molecular level subjected to nanoparticle exposure. Moreover, the article highlights the probable strategies that may be adopted for the suppression of the phytotoxicity of ENPs to ensure the safe and sustainable application of ENPs in crop fields.
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Affiliation(s)
- Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, P.O. Raja Rammohumpur, Dist. Darjeeling, West Bengal, India
| | - Rakhi Chakraborty
- Department of Botany, Acharya Prafulla Chandra Roy Government College, P.O. Matigara, Dist. Darjeeling, West Bengal, India
| | - Tariq Aftab
- Department of Botany, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
| | - Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, P.O. Raja Rammohumpur, Dist. Darjeeling, West Bengal, India.
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Kelly BS, Kirwan A, Quinn MS, Kelly AM, Mathur P, Lawlor A, Killeen RP. The ethical matrix as a method for involving people living with disease and the wider public (PPI) in near-term artificial intelligence research. Radiography (Lond) 2023; 29 Suppl 1:S103-S111. [PMID: 37062673 DOI: 10.1016/j.radi.2023.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/10/2023] [Accepted: 03/12/2023] [Indexed: 04/18/2023]
Abstract
INTRODUCTION The rapid pace of research in the field of Artificial Intelligence in medicine has associated risks for near-term AI. Ethical considerations of the use of AI in medicine remain a subject of much debate. Concurrently, the Involvement of People living with disease and the Public (PPI) in research is becoming mandatory in the EU and UK. The goal of this research was to elucidate the important values for our relevant stakeholders: People with MS, Radiologists, neurologists, Registered Healthcare Practitioners and Computer Scientists concerning AI in radiology and synthesize these in an ethical matrix. METHODS An ethical matrix workshop co-designed with a patient expert. The workshop yielded a survey which was disseminated to the professional societies of the relevant stakeholders. Quantitative data were analysed using the Pingouin 0.53 python package. Qualitative data were examined with word frequency analysis and analysed for themes with grounded theory with a patient expert. RESULTS 184 participants were recruited, (54, 60, 17, 12, 41 respectively). There were significant (p < 0.00001) differences in age, gender and ethnicity between groups. Key themes emerging from our results were the importance fast and accurate results, explanations over model performance and the significance of maintaining personal connections and choice. These themes were used to construct the ethical matrix. CONCLUSION The ethical matrix is a useful tool for PPI and stakeholder engagement with particular advantages for near-term AI in the pandemic era. IMPLICATIONS FOR PRACTICE We have produced an ethical matrix that allows for the inclusion of stakeholder opinion in medical AI research design.
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Affiliation(s)
- B S Kelly
- School of Medicine, UCD, Belfield, Dublin 4, Ireland; Department of Radiology, St Vincent's University Hospital, Dublin 4, Ireland; School of Computer Science and Insight Centre, UCD Belfield, Dublin 4, Ireland.
| | - A Kirwan
- Multiple Sclerosis Ireland National Office, 80 Northumberland Road, Dublin 4, Ireland
| | - M S Quinn
- School of Computer Science and Insight Centre, UCD Belfield, Dublin 4, Ireland
| | - A M Kelly
- School of Education, Trinity College Dublin, Dublin 2, Ireland
| | - P Mathur
- Department of Radiology, St Vincent's University Hospital, Dublin 4, Ireland
| | - A Lawlor
- Department of Radiology, St Vincent's University Hospital, Dublin 4, Ireland
| | - R P Killeen
- School of Medicine, UCD, Belfield, Dublin 4, Ireland
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Maheshwari K, Cywinski JB, Papay F, Khanna AK, Mathur P. Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence. Anesth Analg 2023; 136:637-645. [PMID: 35203086 DOI: 10.1213/ane.0000000000005952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The anesthesiologist's role has expanded beyond the operating room, and anesthesiologist-led care teams can deliver coordinated care that spans the entire surgical experience, from preoperative optimization to long-term recovery of surgical patients. This expanded role can help reduce postoperative morbidity and mortality, which are regrettably common, unlike rare intraoperative mortality. Postoperative mortality, if considered a disease category, will be the third leading cause of death just after heart disease and cancer. Rapid advances in technologies like artificial intelligence provide an opportunity to build safe perioperative practices. Artificial intelligence helps by analyzing complex data across disparate systems and producing actionable information. Using artificial intelligence technologies, we can critically examine every aspect of perioperative medicine and devise innovative value-based solutions that can potentially improve patient safety and care delivery, while optimizing cost of care. In this narrative review, we discuss specific applications of artificial intelligence that may help advance all aspects of perioperative medicine, including clinical care, education, quality improvement, and research. We also discuss potential limitations of technology and provide our recommendations for successful adoption.
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Affiliation(s)
| | | | | | - Ashish K Khanna
- Department of Anesthesiology, Section on Critical Care Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
- Outcomes Research Consortium, Cleveland, Ohio
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Prakash S, Aasarey R, Pandey PK, Mathur P, Arulselvi S. An inexpensive and rapid diagnostic method for detection of SARS-CoV-2 RNA by loop-mediated isothermal amplification (LAMP). MethodsX 2023; 10:102011. [PMID: 36643803 PMCID: PMC9831977 DOI: 10.1016/j.mex.2023.102011] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 01/08/2023] [Indexed: 01/12/2023] Open
Abstract
SARS-CoV-2 is a public pandemic health concern globally. Nasopharyngeal and oropharyngeal swab samples are used for Covid-19 viral detection. Sample collection procedure was tedious and uncomfortable and unsuitable for biochemical and CBC analysis in swab samples. Biochemistry and CBC tests are key determinant in management of Covid-19 patients. We developed a LAMP test to detect viral RNA in blood samples. LAMP is required four specific primers targeting the internal transcribed S-region and loop primers for viral RNA amplification. RNA was extracted from blood samples by TRIzol method. LAMP reaction was performed at 60 °C for 1 hour and amplicons were visualized in HNB dye. No cross-reactivity was seen with HBV, HCV, and HIV infected sample. Out of 40 blood samples, 33 samples were positive for LAMP and Q-PCR analysis, one sample was positive for LAMP and negative for Q-PCR, two samples were negative for LAMP but positive for Q-PCR, and four blood samples were negative for LAMP and Q-PCR. LAMP method has an accuracy of 92.50%, with sensitivity and specificity of 94.28% and 80%, respectively. Thus, LAMP diagnostic test has proved reliable, fast, inexpensive and can be useful for detection where the limited resources available.•LAMP method is a potential tool for detection of SARS-CoV-2.•Blood samples are the key determinant for routine diagnostics as well as molecular diagnostics.•LAMP assay is an appropriate diagnostics method which offers greater simplicity, low cost, sensitivity, and specificity than other methods in molecular diagnostics.
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Affiliation(s)
- S Prakash
- Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - R Aasarey
- Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - P K Pandey
- Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - P Mathur
- Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - S Arulselvi
- Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India
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Sarkar MM, Mukherjee S, Mathur P, Roy S. Exogenous nano-silicon application improves ion homeostasis, osmolyte accumulation and palliates oxidative stress in Lens culinaris under NaCl stress. Plant Physiol Biochem 2022; 192:143-161. [PMID: 36242906 DOI: 10.1016/j.plaphy.2022.10.001] [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] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 08/01/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
Lentil is one of the highly nutritious legumes but is highly susceptible to salinity stress. Silicon has been known to reduce the effect of various environmental stresses including salinity. Moreover, silicon when applied in its nano-form is expected to augment the beneficial attributes of silicon. However, very little is known regarding the prospect of nano-silicon (nSi) application for alleviating the effect of salinity stress in non-silicified plants like lentil. In this study, the primary objective was to evaluate the efficacy of nSi in the alleviation of NaCl stress during germination and early vegetative stages. In this context, different concentrations of nSi (0, 1, 5, 10 g L-1) was applied along with four different concentrations of NaCl (0, 100, 200, 300 mM). The results indicated the uptake of nSi which was confirmed by the better accumulation of silica in the plant tissues. Most importantly, the enhanced accumulation of silica increased the K+/Na+ ratio of the NaCl-stressed seedlings. Moreover, nSi efficiently improved germination, growth, photosynthetic pigments, and osmotic balance. On the other hand, the relatively reduced activities of antioxidative enzymes were surmounted by the higher activity of non-enzymatic antioxidants which mainly scavenged the increased ROS. Reduced ROS accumulation in return ensured better membrane integrity and reduced electrolyte leakage up on nSi application. Therefore, it can be concluded that the application of nSi (more specifically at 10 g L-1) facilitated the uptake of silica and improved the K+/Na+ ratio to reclaim the growth and physiological status of NaCl-stressed seedlings.
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Affiliation(s)
- Mahima Misti Sarkar
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, 734013, India
| | - Soumya Mukherjee
- Department of Botany, Jangipur College, Kalyani University, West Bengal, 742213, India
| | - Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, 734013, India
| | - Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, 734013, India.
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13
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Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P. Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nat Med 2022; 28:2218. [PMID: 35962208 DOI: 10.1038/s41591-022-01951-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Baptiste Vasey
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK. .,Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. .,Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Myura Nagendran
- UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK
| | - Bruce Campbell
- University of Exeter Medical School, Exeter, UK.,Royal Devon and Exeter Hospital, Exeter, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK.,British Heart Foundation Data Science Centre, London, UK.,Health Data Research UK, London, UK.,UCL Hospitals Biomedical Research Centre, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.,Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Livia Faes
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Bart Geerts
- Healthplus.ai-R&D BV, Amsterdam, The Netherlands
| | - Mudathir Ibrahim
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.,Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK.,The Wellcome Trust, London, UK.,The Alan Turing Institute, London, UK
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa D McCradden
- The Hospital for Sick Children, Toronto ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto ON, Canada
| | | | - Johan Ordish
- Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Suchi Saria
- Departments of Computer Science, Statistics, and Health Policy, and Division of Informatics, Johns Hopkins University, Baltimore, MD, USA.,Bayesian Health, New York, NY, USA
| | - Daniel S W Ting
- Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore.,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,NIHR Biomedical Research Centre Oxford, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | | | - Peter McCulloch
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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14
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Mathur P, Roy S, Nasir Khan M, Mukherjee S. Hydrogen sulphide (H 2 S) in the hidden half: Role in root growth, stress signalling and rhizospheric interactions. Plant Biol (Stuttg) 2022; 24:559-568. [PMID: 35334141 DOI: 10.1111/plb.13417] [Citation(s) in RCA: 2] [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] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/18/2022] [Indexed: 06/14/2023]
Abstract
Apart from nitric oxide (NO) and carbon monoxide (CO), hydrogen sulphide (H2 S) has emerged as a potential gasotransmitter that has regulatory roles in root differentiation, proliferation and stress signalling. H2 S metabolism in plants exhibits spatio-temporal differences that are intimately associated with sulphide signalling in the cytosol and other subcellular components, e.g. chloroplast and mitochondria. H2 S biosynthesis in plant organs uses both enzymatic and non-enzymatic pathways. H2 S generation in roots and aerial organs is modulated by developmental phase and changes in environmental stimuli. H2 S has an influential role in root development and in the nodulation process. Studies have revealed that H2 S is a part of the auxin and NO signalling pathways in roots, which induce lateral root formation. At the molecular level, exogenous application of H2 S regulates expression of several transcription factors, viz. LBD (Lateral organ Boundaries Domain), MYB (myeloblastosis) and AP2/ERF (Apetala 2/ Ethylene Response Factor), which stimulate upregulation of PpLBD16 (Lateral organ boundaries domain 16), thereby significantly increasing the number of lateral roots. Concomitantly, H2 S acts as a crucial signalling molecule in roots during various abiotic stresses, e.g. drought, salinity heavy metals (HMs), etc., and augments stress tolerance in plants. Interestingly, extensive crosstalk exists between H2 S, NO, ABA, calcium and ethylene during stress, which escalate plant defence and regulate plant growth and productivity. Hence, the present review will elaborate the role of H2 S in root development, stress alleviation, legume-Rhizobium symbiosis and rhizosphere signalling. The review also examines the mechanism of H2 S-mediated abiotic stress mitigation and cross-talk with other signaling molecules.
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Affiliation(s)
- P Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Darjeeling, India
| | - S Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Darjeeling, India
| | - M Nasir Khan
- Department of Biology, Faculty of Science, College of Haql, University of Tabuk, Tabuk, Saudi Arabia
| | - S Mukherjee
- Department of Botany, Jangipur College, University of Kalyani, Jangipur, India
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15
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Mishra SR, Mathur P, Pattnaik PK. Hybrid Nanofluid Flow of Non-Newtonian Casson Fluid for the Analysis of Entropy Through a Permeable Medium. j nanofluids 2022. [DOI: 10.1166/jon.2022.1846] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The magnetohydrodynamic (MHD) flow of an electrically conducting fluid through a rotating channel is used for the enhancement of heat transfer properties. The entropy analysis due to the irreversibility of the system for the non-Newtonian Casson hybrid nanofluid is proposed in this
investigation. Ethylene glycol (EG) is considered as the base liquid in which the metal nanoparticle i.e., copper (Cu) and oxide like aluminium oxide (Al2O3) nanoparticles are submerged into it for the preparation of nanofluid. In addition, the implementation of radiative
heat, viscous and Joule dissipation in the energy equation enhance the profile as well. The dimensionless for of the governing equations are obtained by using suitable similarity transformations. The solution is obtained numerically for both the primary and the secondary velocity distributions
along with the temperature profiles and the physical significance of the pertinent parameters are presented via graphs. The simulated results for the rate coefficients at both the walls are presented in tabular form. Further, the irreversibility process for the thermal system i.e., the entropy
analysis is carried out for the several parameters along with the Bejan number and deliberated clearly. Further, the important findings are; an increasing rotation retards the thickness of the bounding surface of the primary velocity near the lower wall however, significant augmentation in
the shear rate as well as heat transfer rate is revealed for the augmenting magnetic and the rotation parameter.
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Affiliation(s)
- S. R. Mishra
- Department of Mathematics, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar 751030, Odisha, India
| | - P. Mathur
- Department of Mathematics, Poornima Institute of Engineering & Technology, Jaipur 302022, Rajasthan, India
| | - P. K. Pattnaik
- Department of Mathematics, University of Technology and Research, Bhubaneswar 751029, Odisha, India
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16
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Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P. Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. BMJ 2022; 377:e070904. [PMID: 35584845 PMCID: PMC9116198 DOI: 10.1136/bmj-2022-070904] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2022] [Indexed: 01/04/2023]
Affiliation(s)
- Baptiste Vasey
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Myura Nagendran
- UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK
| | - Bruce Campbell
- University of Exeter Medical School, Exeter, UK
- Royal Devon and Exeter Hospital, Exeter, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK
- British Heart Foundation Data Science Centre, London, UK
- Health Data Research UK, London, UK
- UCL Hospitals Biomedical Research Centre, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Livia Faes
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | | | - Mudathir Ibrahim
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Surgery, Maimonides Medical Center, New York, NY, USA
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK
- Wellcome Trust, London, UK
- Alan Turing Institute, London, UK
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa D McCradden
- Hospital for Sick Children, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Johan Ordish
- The Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Suchi Saria
- Departments of Computer Science, Statistics, and Health Policy, and Division of Informatics, Johns Hopkins University, Baltimore, MD, USA
- Bayesian Health, New York, NY, USA
| | - Daniel S W Ting
- Singapore National Eye Center, Singapore Eye Research Institute, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Biomedical Research Centre Oxford, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | | | - Peter McCulloch
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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17
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Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nat Med 2022; 28:924-933. [PMID: 35585198 DOI: 10.1038/s41591-022-01772-9] [Citation(s) in RCA: 99] [Impact Index Per Article: 49.5] [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: 11/20/2021] [Accepted: 03/03/2022] [Indexed: 12/31/2022]
Abstract
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluation is important to assess an AI system's actual clinical performance at small scale, ensure its safety, evaluate the human factors surrounding its use and pave the way to further large-scale trials. However, the reporting of these early studies remains inadequate. The present statement provides a multi-stakeholder, consensus-based reporting guideline for the Developmental and Exploratory Clinical Investigations of DEcision support systems driven by Artificial Intelligence (DECIDE-AI). We conducted a two-round, modified Delphi process to collect and analyze expert opinion on the reporting of early clinical evaluation of AI systems. Experts were recruited from 20 pre-defined stakeholder categories. The final composition and wording of the guideline was determined at a virtual consensus meeting. The checklist and the Explanation & Elaboration (E&E) sections were refined based on feedback from a qualitative evaluation process. In total, 123 experts participated in the first round of Delphi, 138 in the second round, 16 in the consensus meeting and 16 in the qualitative evaluation. The DECIDE-AI reporting guideline comprises 17 AI-specific reporting items (made of 28 subitems) and ten generic reporting items, with an E&E paragraph provided for each. Through consultation and consensus with a range of stakeholders, we developed a guideline comprising key items that should be reported in early-stage clinical studies of AI-based decision support systems in healthcare. By providing an actionable checklist of minimal reporting items, the DECIDE-AI guideline will facilitate the appraisal of these studies and replicability of their findings.
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Affiliation(s)
- Baptiste Vasey
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Myura Nagendran
- UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK
| | - Bruce Campbell
- University of Exeter Medical School, Exeter, UK
- Royal Devon and Exeter Hospital, Exeter, UK
| | - David A Clifton
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, UK
- British Heart Foundation Data Science Centre, London, UK
- Health Data Research UK, London, UK
- UCL Hospitals Biomedical Research Centre, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Livia Faes
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Bart Geerts
- Healthplus.ai-R&D BV, Amsterdam, The Netherlands
| | - Mudathir Ibrahim
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK
- The Wellcome Trust, London, UK
- The Alan Turing Institute, London, UK
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa D McCradden
- The Hospital for Sick Children, Toronto ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto ON, Canada
| | | | - Johan Ordish
- Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Suchi Saria
- Departments of Computer Science, Statistics, and Health Policy, and Division of Informatics, Johns Hopkins University, Baltimore, MD, USA
- Bayesian Health, New York, NY, USA
| | - Daniel S W Ting
- Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Biomedical Research Centre Oxford, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | | | - Peter McCulloch
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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18
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Orabi D, Naples R, Brundidge D, Snyder K, Gohar M, Agarwal D, Govindarajan S, Tu C, Fung K, Argalious M, Mathur P, Asfaw SH. Postoperative Respiratory Failure After Elective Abdominal Surgery: A Case-Control Study. J Surg Res 2022; 274:160-168. [PMID: 35180492 DOI: 10.1016/j.jss.2021.12.041] [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] [Received: 02/18/2021] [Revised: 12/25/2021] [Accepted: 12/30/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Postoperative respiratory failure (PRF) contributes significantly to morbidity and mortality. We sought to identify patient characteristics and perioperative risk factors associated with PRF in patients undergoing elective abdominal surgery to improve patient outcomes. METHODS We retrospectively reviewed patients undergoing elective abdominal surgery from 2011 to 2016 at our institution. An experimental group consisting of adult patients with the Patient Safety Indicator 11 diagnosis of PRF was compared with a time-matched control group. RESULTS Each group consisted of 233 patients. Comorbidities associated with PRF included ascites, coronary artery disease, chronic kidney disease, chronic obstructive pulmonary disease, diabetes mellitus type II, hypertension, and hypoalbuminemia (P < 0.05). American Society of Anesthesiologists score IV (20.2% versus 3.95%; P < 0.001), operative time (4.13 versus 2.55 h; P < 0.001), laparotomy with open operation (77.7% versus 45.5%; P < 0.001), and net intraoperative fluid balance (3635 versus 2410 mL; P < 0.001) were higher in patients with PRF. On multivariate analysis, age, American Society of Anesthesiologists score, chronic obstructive pulmonary disease, diabetes mellitus type II, laparotomy, and net intraoperative fluid balance maintained significance (P < 0.05). CONCLUSIONS We identified contributing pre- and intra-operative risk factors for PRF undergoing elective abdominal surgery. These findings may help identify those at increased risk for respiratory failure and mitigate complications.
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Affiliation(s)
- Danny Orabi
- Department of General Surgery, Cleveland Clinic, Cleveland, Ohio.
| | - Robert Naples
- Department of General Surgery, Cleveland Clinic, Cleveland, Ohio
| | | | - Karen Snyder
- Department of General Surgery, Cleveland Clinic, Cleveland, Ohio
| | - Moheb Gohar
- Department of Anesthesiology, Cleveland Clinic, Cleveland, Ohio
| | - Deepak Agarwal
- Department of Anesthesiology, Cleveland Clinic, Cleveland, Ohio
| | | | - Chao Tu
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio
| | - Kevin Fung
- Department of Biology, Case Western Reserve University, Cleveland, Ohio
| | - Maged Argalious
- Department of Anesthesiology, Cleveland Clinic, Cleveland, Ohio
| | - Piyush Mathur
- Department of Anesthesiology, Cleveland Clinic, Cleveland, Ohio
| | - Sofya H Asfaw
- Department of General Surgery, Cleveland Clinic, Cleveland, Ohio
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19
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Bansal D, Mittal S, Mathur P. Curtains up – What to expect at the start of a new laparoscopic donor nephrectomy program. Indian J Transplant 2022. [DOI: 10.4103/ijot.ijot_124_21] [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: 12/31/2022] Open
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20
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Venkateswaran V, Parida R, Khanna P, Bhoi D, Singh AK, Mathur P, Sahoo D, Dass C, Gupta A, Aravindan A, Trikha A. Maternal and neonatal characteristics, operative details and outcomes in COVID-19 positive parturients undergoing cesarean sections: A retrospective observational study. J Anaesthesiol Clin Pharmacol 2022; 38:S52-S57. [PMID: 36060190 PMCID: PMC9438814 DOI: 10.4103/joacp.joacp_358_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 08/15/2021] [Accepted: 08/17/2021] [Indexed: 11/04/2022] Open
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21
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Brokus C, Kattakuzhy S, Gayle B, Narayanan S, Davis A, Cover A, Eyasu R, Ebah E, Ogbumbadiugha-Weekes O, Hoffmann J, Silk R, Stevens J, Mount J, Gannon C, Nussdorf L, Mathur P, Bijole P, Jones M, Kier R, Sternberg D, Greenblatt A, Weintraub E, Masur H, Kottilil S, Rosenthal E. Suboptimal uptake, retention, and adherence of daily oral PrEP among people with OUD receiving HCV treatment. Open Forum Infect Dis 2021; 9:ofab658. [PMID: 35187191 PMCID: PMC8849288 DOI: 10.1093/ofid/ofab658] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/24/2021] [Indexed: 11/26/2022] Open
Abstract
Background Daily oral preexposure prophylaxis (PrEP) with tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC) prevents human immunodeficiency (HIV) among people who inject drugs (PWID). Despite rising HIV incidence and injection drug use (IDU), PrEP use remains low and there is limited research about uptake, adherence, and retention among PWID. Methods The ANCHOR investigation evaluated a community-based care model collocating hepatitis C virus (HCV) treatment, medication for opioid use disorder (OUD), and PrEP in individuals in Washington, DC, and Baltimore, Maryland. PrEP counseling was conducted from HCV treatment day 0 until week 24. Subjects could start any time during this window, were followed for 48 weeks, and were assessed for adherence by self-report and dried blood spot TDF analysis. Results One hundred ninety-eight participants were enrolled, of whom 185 (93%) were HIV negative. Twenty-nine individuals (15.7% of HIV-negative cohort) initiated PrEP. One hundred sixteen participants (62.7%) met 2014 Centers for Disease Control and Prevention (CDC) PrEP criteria due to IDU (82 [44.3%]), sex (9 [4.9%]), or both practices (25 [13.5%]). Providers recommended PrEP to 94 individuals (50.8%), and recommendation was associated with PrEP uptake. Median treatment duration was 104 days (interquartile range, 28–276 days), with 8 participants retained through week 48. Adherence was variable over time by self-report and declined by TDF analysis. No HIV seroconversions occurred. Conclusions This cohort of people with HCV and OUD experienced low uptake of PrEP despite the majority meeting CDC criteria. High rates of disruption and discontinuation, compounded by variable adherence, made TDF/FTC a suboptimal prevention strategy. Emerging modalities like long-acting formulations may address these barriers, but PWID have been excluded from their development to date.
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Affiliation(s)
- C Brokus
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - S Kattakuzhy
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - B Gayle
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - S Narayanan
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - A Davis
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - A Cover
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - R Eyasu
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - E Ebah
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - O Ogbumbadiugha-Weekes
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - J Hoffmann
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - R Silk
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - J Stevens
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - J Mount
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - C Gannon
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - L Nussdorf
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
| | - P Mathur
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - P Bijole
- HIPS, org, Washington, DC, United States
| | - M Jones
- Division of Addiction Research and Treatment, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States
| | - R Kier
- Division of Addiction Research and Treatment, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States
| | - D Sternberg
- Division of Addiction Research and Treatment, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States
| | - A Greenblatt
- Department of Family & Community Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
- Division of Addiction Research and Treatment, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States
| | - E Weintraub
- Division of Addiction Research and Treatment, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States
| | - H Masur
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - S Kottilil
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - E Rosenthal
- DC Partnership for HIV/AIDS Progress, Washington, DC, United States
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States
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Reddy S, Rogers W, Makinen VP, Coiera E, Brown P, Wenzel M, Weicken E, Ansari S, Mathur P, Casey A, Kelly B. Evaluation framework to guide implementation of AI systems into healthcare settings. BMJ Health Care Inform 2021; 28:bmjhci-2021-100444. [PMID: 34642177 PMCID: PMC8513218 DOI: 10.1136/bmjhci-2021-100444] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 09/30/2021] [Indexed: 01/10/2023] Open
Abstract
Objectives To date, many artificial intelligence (AI) systems have been developed in healthcare, but adoption has been limited. This may be due to inappropriate or incomplete evaluation and a lack of internationally recognised AI standards on evaluation. To have confidence in the generalisability of AI systems in healthcare and to enable their integration into workflows, there is a need for a practical yet comprehensive instrument to assess the translational aspects of the available AI systems. Currently available evaluation frameworks for AI in healthcare focus on the reporting and regulatory aspects but have little guidance regarding assessment of the translational aspects of the AI systems like the functional, utility and ethical components. Methods To address this gap and create a framework that assesses real-world systems, an international team has developed a translationally focused evaluation framework termed ‘Translational Evaluation of Healthcare AI (TEHAI)’. A critical review of literature assessed existing evaluation and reporting frameworks and gaps. Next, using health technology evaluation and translational principles, reporting components were identified for consideration. These were independently reviewed for consensus inclusion in a final framework by an international panel of eight expert. Results TEHAI includes three main components: capability, utility and adoption. The emphasis on translational and ethical features of the model development and deployment distinguishes TEHAI from other evaluation instruments. In specific, the evaluation components can be applied at any stage of the development and deployment of the AI system. Discussion One major limitation of existing reporting or evaluation frameworks is their narrow focus. TEHAI, because of its strong foundation in translation research models and an emphasis on safety, translational value and generalisability, not only has a theoretical basis but also practical application to assessing real-world systems. Conclusion The translational research theoretic approach used to develop TEHAI should see it having application not just for evaluation of clinical AI in research settings, but more broadly to guide evaluation of working clinical systems.
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Affiliation(s)
- Sandeep Reddy
- School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Wendy Rogers
- Department of Philosophy, Macquarie University, Sydney, New South Wales, Australia
| | - Ville-Petteri Makinen
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Enrico Coiera
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Pieta Brown
- Orion Health, Auckland, Auckland, New Zealand
| | - Markus Wenzel
- Fraunhofer Institute for Telecommunications Heinrich-Hertz-Institute HHI, Berlin, Germany
| | - Eva Weicken
- Fraunhofer Institute for Telecommunications Heinrich-Hertz-Institute HHI, Berlin, Germany
| | - Saba Ansari
- Deakin University Faculty of Health, Geelong, Victoria, Australia
| | - Piyush Mathur
- Anesthesiology Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Aaron Casey
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Blair Kelly
- Deakin University Faculty of Health, Geelong, Victoria, Australia
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23
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Mathur P, Goyal P, Verma G, Yadav P. Entropy based analysis of SARS-CoV-2 spread in India using informative subtype markers. Sci Rep 2021; 11:15972. [PMID: 34354142 PMCID: PMC8342543 DOI: 10.1038/s41598-021-95247-5] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 07/20/2021] [Indexed: 11/26/2022] Open
Abstract
India became one of the most COVID-19 affected countries with more than 4 million infected cases and 71,000 deaths by September 2020. We studied the temporal dynamics and geographic distribution of SARS-CoV-2 subtypes in India. Moreover, we analysed the RGD motif and D614G mutation in the spike protein of SARS-CoV-2. We used a previously proposed viral subtyping method based upon informative subtype markers (ISMs). The ISMs were identified on the basis of information entropy using 94,515 genome sequences of SARS-CoV-2 available publicly at the Global Initiative on Sharing All Influenza Data (GISAID). We identified 11 distinct positions in the SARS-CoV-2 genomes for defining ISMs resulting in 798 unique ISMs. The most abundant ISM in India was transferred from European countries. In contrast, the second most abundant ISM in India was found to be transferred via Australia. Moreover, the eastern regions in India were infected by the ISM most abundant in China due to geographical linkage. Our analysis confirmed higher rates of new cases in the countries abundant with S-G614 strain compared to countries with abundant S-D614 strain. In India, overall S-G614 was most prevalent compared to S-D614, except a few regions including New Delhi, Bihar, and Rajasthan.
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Affiliation(s)
- Piyush Mathur
- Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, 342037, Rajasthan, India
| | - Pratik Goyal
- Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, 342037, Rajasthan, India
| | - Garima Verma
- Department of Experimental Medicine, System Biology Group, University La Sapienza Università di Roma, Roma, Italy
| | - Pankaj Yadav
- Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, 342037, Rajasthan, India.
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Roy S, Mathur P. Delineating the mechanisms of elevated CO 2 mediated growth, stress tolerance and phytohormonal regulation in plants. Plant Cell Rep 2021; 40:1345-1365. [PMID: 34169360 DOI: 10.1007/s00299-021-02738-w] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/14/2021] [Indexed: 05/20/2023]
Abstract
Global climate change has drastically affected natural ecosystems and crop productivity. Among several factors of global climate change, CO2 is considered to be the dynamic parameter that will regulate the responses of all biological system on earth in the coming decade. A number of experimental studies in the past have demonstrated the positive effects of elevated CO2 on photosynthesis, growth and biomass, biochemical and physiological processes such as increased C:N ratio, secondary metabolite production, as well as phytohormone concentrations. On the other hand, elevated CO2 imparts an adverse effect on the nutritional quality of crop plants and seed quality. Investigations have also revealed effects of elevated CO2 both at cellular and molecular level altering expression of various genes involved in various metabolic processes and stress signaling pathways. Elevated CO2 is known to have mitigating effect on plants in presence of abiotic stresses such as drought, salinity, temperature etc., while contrasting effects in the presence of different biotic agents i.e. phytopathogens, insects and herbivores. However, a well-defined crosstalk is incited by elevated CO2 both under abiotic and biotic stresses in terms of phytohormones concentration and secondary metabolites production. With this background, the present review attempts to shed light on the major effects of elevated CO2 on plant growth, physiological and molecular responses and will highlight the interactive effects of elevated CO2 with other abiotic and biotic factors. The article will also provide deep insights into the phytohormones modulation under elevated CO2.
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Affiliation(s)
- Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, India
| | - Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, India.
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25
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Mathur P, Roy S. Insights into the plant responses to drought and decoding the potential of root associated microbiome for inducing drought tolerance. Physiol Plant 2021; 172:1016-1029. [PMID: 33491182 DOI: 10.1111/ppl.13338] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 01/12/2021] [Accepted: 01/15/2021] [Indexed: 06/12/2023]
Abstract
Global increase in water scarcity is a serious problem for sustaining crop productivity. The lack of water causes the degeneration of the photosynthetic apparatus, an imbalance in key metabolic pathways, an increase in free radical generation as well as weakens the root architecture of plants. Drought is one of the major stresses that directly interferes with the osmotic status of plant cells. Abscisic acid (ABA) is known to be a key player in the modulation of drought responses in plants and involvement of both ABA-dependent and ABA-independent pathways have been observed during drought. Concomitantly, other phytohormones such as auxins, ethylene, gibberellins, cytokinins, jasmonic acid also confer drought tolerance and a crosstalk between different phytohormones and transcription factors at the molecular level exists. A number of drought-responsive genes and transcription factors have been utilized for producing transgenic plants for improved drought tolerance. Despite relentless efforts, biotechnological advances have failed to design completely stress tolerant plants until now. The root microbiome is the hidden treasure that possesses immense potential to revolutionize the strategies for inducing drought resistance in plants. Root microbiota consist of plant growth-promoting rhizobacteria, endophytes and mycorrhizas that form a consortium with the roots. Rhizospheric microbes are proliferous producers of phytohormones, mainly auxins, cytokinin, and ethylene as well as enzymes like the 1-aminocyclopropane-1-carboxylate deaminase (ACC deaminase) and metabolites like exopolysaccharides that help to induce systemic tolerance against drought. This review, therefore focuses on the major mechanisms of plant-microbe interactions under drought-stressed conditions and emphasizes the importance of drought-tolerant microbes for sustaining and improving the productivity of crop plants under stress.
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Affiliation(s)
- Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, India
| | - Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, India
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26
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Mathur R, Garg P, Muthuswamy V, Mathur P. Authors' response. Indian J Med Res 2021; 152:428. [PMID: 33380710 PMCID: PMC8061585 DOI: 10.4103/0971-5916.305171] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- R Mathur
- For Indian Council of Medical Research Expert Group on DNAR, ICMR Bioethics Unit, Bengaluru 562 110, Karnataka, India
| | - P Garg
- For Indian Council of Medical Research Expert Group on DNAR, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110 029, India
| | - V Muthuswamy
- For Indian Council of Medical Research Expert Group on DNAR, ICMR Bioethics Unit, Bengaluru 562 110, Karnataka, India
| | - P Mathur
- For Indian Council of Medical Research Expert Group on DNAR, National Centre for Disease Informatics and Research, Nirmal Bhawan, Poojanhalli, Kannamangala Post, Bengaluru 562 110, Karnataka, India
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Kansal N, Garg P, Mathur P, Sharma P, Shrivastava M. Study of the Prevalence of Echocardiographic Abnormalities and Their Relation to Disease Progression in Chronic Kidney Disease. J Indian Acad Echocardiogr Cardiovasc Imaging 2021. [DOI: 10.4103/jiae.jiae_44_20] [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
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28
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Mathur P, Cywinski JB, Papay FA. Impacting Perioperative Quality and Patient Safety Using Artificial Intelligence. ARTIF INTELL 2020. [DOI: 10.4324/9780429317415-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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29
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Mathur P, Roy S. Nanosilica facilitates silica uptake, growth and stress tolerance in plants. Plant Physiol Biochem 2020; 157:114-127. [PMID: 33099119 DOI: 10.1016/j.plaphy.2020.10.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 10/14/2020] [Indexed: 06/11/2023]
Abstract
Nanobiotechnology has gained considerable momentum in the field of plant sciences in the last few years. Nanomaterials of various metal oxides has been utilized for enhancing growth, productivity and in crop protection strategies. Among them, nanosilica has emerged as a key player in orchestrating plant growth and conferring tolerance to various abiotic and biotic stresses. Nanosilica has increased absorptivity that accounts for an increased uptake of silica, although the exact mechanism is not fully understood. Nanosilica uptake in the roots and leaves reduces the accumulation of reactive oxygen species (ROS) and membrane lipid peroxidation. It is known to restrict the entry of sodium ions and other heavy metals in plants. Concurrently, nanosilica deposition in the leaf tissue enhances the plant defense against pathogens. The present review attempts to provide a novel insight into its uptake mechanism and nanosilica mediated abiotic and biotic stress tolerance in plants. This review will also shed light on the prospects and challenges related to application of nanosilica based fertilizers.
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Affiliation(s)
- Piyush Mathur
- Microbiology Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, 734013, India.
| | - Swarnendu Roy
- Plant Biochemistry Laboratory, Department of Botany, University of North Bengal, Raja Rammohunpur, Dist. Darjeeling, West Bengal, 734013, India.
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30
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Shankar C, Mathur P, Jacob J, Rodrigues C, Walia K, Chitnis D, Veeraraghavan B. Genomic insights into multi-drug and extensively drug resistant Klebsiella pneumoniae from India. Int J Infect Dis 2020. [DOI: 10.1016/j.ijid.2020.09.069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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31
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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
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32
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Mathur P, Maheshwari K, Papay F. In response to 'The clinical artificial intelligence department: a prerequisite for success'. BMJ Health Care Inform 2020; 27:bmjhci-2020-100221. [PMID: 32967855 PMCID: PMC7513565 DOI: 10.1136/bmjhci-2020-100221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2020] [Indexed: 12/04/2022] Open
Affiliation(s)
- Piyush Mathur
- Anesthesiology Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Kamal Maheshwari
- Anesthesiology Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Frank Papay
- Dermatology and Plastic Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
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33
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Jain A, Mathur P. Intake of Ultra-processed Foods Among Adolescents From Low- and Middle-Income Families in Delhi. Indian Pediatr 2020; 57:712-714. [PMID: 32844756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
OBJECTIVE To assess the contribution of ultra-processed foods to the macronutrient intake of adolescents from low- and middle-income families in Delhi. METHOD Adolescents (n=1030) aged 12-16 years from four private and four government schools of Delhi were interviewed using 24-hour recall (repeated on three days), and a food frequency questionnaire. RESULTS The mean energy intake from ultra-processed foods was 371 kcal (16.2%) of the total energy intake. The mean intake of macronutrients from ultra-processed foods was 7.1 g (16.3%) fat, 78.9 g (18.6%) carbohydrate and 4.8 g (10.9%) protein. Children from middle-income families consumed significantly higher (P<0.05) amounts of macronutrients coming from ultra-processed foods, as compared to those from low-income families. CONCLUSIONS Adolescents reported regular consumption of variety of ultra-processed foods, and measures to reduce this consumption and encouraging healthy food choices are urgently needed.
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Affiliation(s)
- A Jain
- Department of Food and Nutrition, Lady Irwin College, University of Delhi, India. Correspondence to: Dr Arushi Jain, B-139, Naraina Vihar, New Delhi 110 028, India.
| | - P Mathur
- Department of Food and Nutrition, Lady Irwin College, University of Delhi, India
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34
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Maheshwari K, Mathur P, Turan A. Machine learning models for perioperative research. J Clin Anesth 2020; 67:109990. [PMID: 32711353 DOI: 10.1016/j.jclinane.2020.109990] [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] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 07/15/2020] [Indexed: 11/18/2022]
Affiliation(s)
- Kamal Maheshwari
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, United States of America; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, United States of America
| | - Piyush Mathur
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, United States of America
| | - Alparslan Turan
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, United States of America; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, United States of America.
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Abstract
In response to the COVID-19 pandemic, quality improvement teams at Cleveland Clinic initiated a number of measures to guide the care of patients with suspected or confirmed COVID-19 infection and protect care givers. This included increasing the frequency of team meetings from monthly to daily or weekly and creating task forces to create protocols for patient transport, airway management, and management of personal protective equipment and medications in short supply. Enterprise wide, we postponed non-essential surgeries, set up an overflow intensive care unit onsite, created a web-based COVID-19 toolkit for all care givers, and sent daily emails about the most recent developments, decisions, and recommendations from national and international societies.
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Affiliation(s)
- Shari Oesterreich
- Resident, Center for Anesthesiology Education, Anesthesiology Institute, Cleveland Clinic
| | - Jacek B Cywinski
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic
| | - Brett Elo
- Department of Intensive Care and Resuscitation, Anesthesiology Institute, Cleveland Clinic
| | - Mariya Geube
- Department of Cardiothoracic Anesthesiology, Anesthesiology Institute, Cleveland Clinic
| | - Piyush Mathur
- Department of General Anesthesiology, Anesthesiology Institute, Cleveland Clinic
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36
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Mathur P, Cywinski JB, Khanna S, Trombetta C. Perioperative anesthesia care for patients with confirmed or suspected COVID-19. Cleve Clin J Med 2020:ccjm.87a.ccc035. [PMID: 32434805 DOI: 10.3949/ccjm.87a.ccc035] [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: 11/14/2022]
Abstract
The operating room environment is very dynamic with many unique challenges for anesthesia teams caring for patients with confirmed or suspected COVID-19. Specific recommendations by national organizations and institution specific step-by-step guidelines and education materials are required to maintain safety for both patients and caregivers perioperatively, with transport, and medication management.
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Rosenthal VD, Bat-Erdene I, Gupta D, Belkebir S, Rajhans P, Zand F, Myatra SN, Afeef M, Tanzi VL, Muralidharan S, Gurskis V, Al-Abdely HM, El-Kholy A, AlKhawaja SAA, Sen S, Mehta Y, Rai V, Hung NV, Sayed AF, Guerrero-Toapanta FM, Elahi N, Morfin-Otero MDR, Somabutr S, De-Carvalho BM, Magdarao MS, Velinova VA, Quesada-Mora AM, Anguseva T, Ikram A, Aguilar-de-Moros D, Duszynska W, Mejia N, Horhat FG, Belskiy V, Mioljevic V, Di-Silvestre G, Furova K, Gamar-Elanbya MO, Gupta U, Abidi K, Raka L, Guo X, Luque-Torres MT, Jayatilleke K, Ben-Jaballah N, Gikas A, Sandoval-Castillo HR, Trotter A, Valderrama-Beltrán SL, Leblebicioglu H, Riera F, López M, Maurizi D, Desse J, Pérez I, Silva G, Chaparro G, Golschmid D, Cabrera R, Montanini A, Bianchi A, Vimercati J, Rodríguez-del-Valle M, Domínguez C, Saul P, Chediack V, Piastrelini M, Cardena L, Ramasco L, Olivieri M, Gallardo P, Juarez P, Brito M, Botta P, Alvarez G, Benchetrit G, Caridi M, Stagnaro J, Bourlot I, García M, Arregui N, Saeed N, Abdul-Aziz S, ALSayegh S, Humood M, Mohamed-Ali K, Swar S, Magray T, Aguiar-Portela T, Sugette-de-Aguiar T, Serpa-Maia F, Fernandes-Alves-de-Lima L, Teixeira-Josino L, Sampaio-Bezerra M, Furtado-Maia R, Romário-Mendes A, Alves-De-Oliveira A, Vasconcelos-Carneiro A, Anjos-Lima JD, Pinto-Coelho K, Maciel-Canuto M, Rocha-Batista M, Moreira T, Rodrigues-Amarilo N, Lima-de-Barros T, Guimarães KA, Batista C, Santos C, de-Lima-Silva F, Santos-Mota E, Karla L, Ferreira-de-Souza M, Luzia N, de-Oliveira S, Takeda C, Azevedo-Ferreira-Lima D, Faheina J, Coelho-Oliveira L, do-Nascimento S, Machado-Silva V, Bento-Ferreira, Olszewski J, Tenorio M, Silva-Lemos A, Ramos-Feijó C, Cardoso D, Correa-Barbosa M, Assunção-Ponte G, Faheina J, da-Silva-Escudero D, Servolo-Medeiros E, Andrade-Oliveira-Reis M, Kostadinov E, Dicheva V, Petrov M, Guo C, Yu H, Liu T, Song G, Wang C, Cañas-Giraldo L, Marin-Tobar D, Trujillo-Ramirez E, Andrea-Rios P, Álvarez-Moreno C, Linares C, González-Rubio P, Ariza-Ayala B, Gamba-Moreno L, Gualtero-Trujill S, Segura-Sarmiento S, Rodriguez-Pena J, Ortega R, Olarte N, Pardo-Lopez Y, Luis Marino Otela-Baicue A, Vargas-Garcia A, Roncancio E, Gomez-Nieto K, Espinosa-Valencia M, Barahona-Guzman N, Avila-Acosta C, Raigoza-Martinez W, Villamil-Gomez W, Chapeta-Parada E, Mindiola-Rochel A, Corchuelo-Martinez A, Martinez A, Lagares-Guzman A, Rodriguez-Ferrer M, Yepes-Gomez D, Muñoz-Gutierrez G, Arguello-Ruiz A, Zuniga-Chavarria M, Maroto-Vargas L, Valverde-Hernández M, Solano-Chinchilla A, Calvo-Hernandez I, Chavarria-Ugalde O, Tolari G, Rojas-Fermin R, Diaz-Rodriguez C, Huascar S, Ortiz M, Bovera M, Alquinga N, Santacruz G, Jara E, Delgado V, Salgado-Yepez E, Valencia F, Pelaez C, Gonzalez-Flores H, Coello-Gordon E, Picoita F, Arboleda M, Garcia M, Velez J, Valle M, Unigarro L, Figueroa V, Marin K, Caballero-Narvaez H, Bayani V, Ahmed S, Alansary A, Hassan A, Abdel-Halim M, El-Fattah M, Abdelaziz-Yousef R, Hala A, Abdelhady K, Ahmed-Fouad H, Mounir-Agha H, Hamza H, Salah Z, Abdel-Aziz D, Ibrahim S, Helal A, AbdelMassih A, Mahmoud AR, Elawady B, El-sherif R, Fattah-Radwan Y, Abdel-Mawla T, Kamal-Elden N, Kartsonaki M, Rivera D, Mandal S, Mukherjee S, Navaneet P, Padmini B, Sorabjee J, Sakle A, Potdar M, Mane D, Sale H, Abdul-Gaffar M, Kazi M, Chabukswar S, Anju M, Gaikwad D, Harshe A, Blessymole S, Nair P, Khanna D, Chacko F, Rajalakshmi A, Mubarak A, Kharbanda M, Kumar S, Mathur P, Saranya S, Abubakar F, Sampat S, Raut V, Biswas S, Kelkar R, Divatia J, Chakravarthy M, Gokul B, Sukanya R, Pushparaj L, Thejasvini A, Rangaswamy S, Saini N, Bhattacharya C, Das S, Sanyal S, Chaudhury B, Rodrigues C, Khanna G, Dwivedy A, Binu S, Shetty S, Eappen J, Valsa T, Sriram A, Todi S, Bhattacharyya M, Bhakta A, Ramachandran B, Krupanandan R, Sahoo P, Mohanty N, Sahu S, Misra S, Ray B, Pattnaik S, Pillai H, Warrier A, Ranganathan L, Mani A, Rajagopal S, Abraham B, Venkatraman R, Ramakrishnan N, Devaprasad D, Siva K, Divekar D, Satish Kavathekar M, Suryawanshi M, Poojary A, Sheeba J, Patil P, Kukreja S, Varma K, Narayanan S, Sohanlal T, Agarwal A, Agarwal M, Nadimpalli G, Bhamare S, Thorat S, Sarda O, Nadimpalli P, Nirkhiwale S, Gehlot G, Bhattacharya S, Pandya N, Raphel A, Zala D, Mishra S, Patel M, Aggarwal D, Jawadwal B, Pawar N, Kardekar S, Manked A, Tamboli A, Manked A, Khety Z, Singhal T, Shah S, Kothari V, Naik R, Narain R, Sengupta S, Karmakar A, Mishra S, Pati B, Kantroo V, Kansal S, Modi N, Chawla R, Chawla A, Roy I, Mukherjee S, Bej M, Mukherjee P, Baidya S, Durell A, Vadi S, Saseedharan S, Anant P, Edwin J, Sen N, Sandhu K, Pandya N, Sharma S, Sengupta S, Palaniswamy V, Sharma P, Selvaraj M, Saurabh L, Agarwal M, Punia D, Soni D, Misra R, Harsvardhan R, Azim A, Kambam C, Garg A, Ekta S, Lakhe M, Sharma C, Singh G, Kaur A, Singhal S, Chhabra K, Ramakrishnan G, Kamboj H, Pillai S, Rani P, Singla D, Sanaei A, Maghsudi B, Sabetian G, Masjedi M, Shafiee E, Nikandish R, Paydar S, Khalili H, Moradi A, Sadeghi P, Bolandparvaz S, Mubarak S, Makhlouf M, Awwad M, Ayyad O, Shaweesh A, Khader M, Alghazawi A, Hussien N, Alruzzieh M, Mohamed Y, ALazhary M, Abdul Aziz O, Alazmi M, Mendoza J, De Vera P, Rillorta A, de Guzman M, Girvan M, Torres M, Alzahrani N, Alfaraj S, Gopal U, Manuel M, Alshehri R, Lessing L, Alzoman H, Abdrahiem J, Adballah H, Thankachan J, Gomaa H, Asad T, AL-Alawi M, Al-Abdullah N, Demaisip N, Laungayan-Cortez E, Cabato A, Gonzales J, Al Raey M, Al-Darani S, Aziz M, Al-Manea B, Samy E, AlDalaton M, Alaliany M, Alabdely H, Helali N, Sindayen G, Malificio A, Al-Dossari H, Kelany A, Algethami A, Mohamed D, Yanne L, Tan A, Babu S, Abduljabbar S, Al-Zaydani M, Ahmed H, Al Jarie A, Al-Qathani A, Al-Alkami H, AlDalaton M, Alih S, Alaliany M, Gasmin-Aromin R, Balon-Ubalde E, Diab H, Kader N, Hassan-Assiry I, Kelany A, Albeladi E, Aboushoushah S, Qushmaq N, Fernandez J, Hussain W, Rajavel R, Bukhari S, Rushdi H, Turkistani A, Mushtaq J, Bohlega E, Simon S, Damlig E, Elsherbini S, Abraham S, Kaid E, Al-Attas A, Hawsawi G, Hussein B, Esam B, Caminade Y, Santos A, Abdulwahab M, Aldossary A, Al-Suliman S, AlTalib A, Albaghly N, HaqlreMia M, Kaid E, Altowerqi R, Ghalilah K, Alradady M, Al-Qatri A, Chaouali M, Shyrine E, Philipose J, Raees M, AbdulKhalik N, Madco M, Acostan C, Safwat R, Halwani M, Abdul-Aal N, Thomas A, Abdulatif S, Ali-Karrar M, Al-Gosn N, Al-Hindi A, Jaha R, AlQahtani S, Ayugat E, Al-Hussain M, Aldossary A, Al-Suliman S, Al-Talib A, Albaghly N, Haqlre-Mia M, Briones S, Krishnan R, Tabassum K, Alharbi L, Madani A, Al-Hindi A, Al-Gethamy M, Alamri D, Spahija G, Gashi A, Kurian A, George S, Mohamed A, Ramapurath R, Varghese S, Abdo N, Foda-Salama M, Al-Mousa H, Omar A, Salama M, Toleb M, Khamis S, Kanj S, Zahreddine N, Kanafani Z, Kardas T, Ahmadieh R, Hammoud Z, Zeid I, Al-Souheil A, Ayash H, Mahfouz T, Kondratas T, Grinkeviciute D, Kevalas R, Dagys A, Mitrev Z, Bogoevska-Miteva Z, Jankovska K, Guroska S, Petrovska M, Popovska K, Ng C, Hoon Y, Hasan YM, Othman-Jailani M, Hadi-Jamaluddin M, Othman A, Zainol H, Wan-Yusoff W, Gan C, Lum L, Ling C, Aziz F, Zhazali R, Abud-Wahab M, Cheng T, Elghuwael I, Wan-Mat W, Abd-Rahman R, Perez-Gomez H, Kasten-Monges M, Esparza-Ahumada S, Rodriguez-Noriega E, Gonzalez-Diaz E, Mayoral-Pardo D, Cerero-Gudino A, Altuzar-Figueroa M, Perez-Cruz J, Escobar-Vazquez M, Aragon D, Coronado-Magana H, Mijangos-Mendez J, Corona-Jimenez F, Aguirre-Avalos G, Lopez-Mateos A, Martinez-Marroquin M, Montell-Garcia M, Martinez-Martinez A, Leon-Sanchez E, Gomez-Flores G, Ramirez M, Gomez M, Lozano M, Mercado V, Zamudio-Lugo I, Gomez-Gonzalez C, Miranda-Novales M, Villegas-Mota I, Reyes-Garcia C, Ramirez-Morales M, Sanchez-Rivas M, Cureno-Diaz M, Matias-Tellez B, Gonzalez-Martinez J, Juarez-Vargas R, Pastor-Salinas O, Gutierrez-Munoz V, Conde-Mercado J, Bruno-Carrasco G, Manrique M, Monroy-Colin V, Cruz-Rivera Z, Rodriguez-Pacheco J, Cruz N, Hernandez-Chena B, Guido-Ramirez O, Arteaga-Troncoso G, Guerra-Infante F, Lopez-Hurtado M, Caleco JD, Leyva-Medellin E, Salamanca-Meneses A, Cosio-Moran C, Ruiz-Rendon R, Aguilar-Angel L, Sanchez-Vargas M, Mares-Morales R, Fernandez-Alvarez L, Castillo-Cruz B, Gonzalez-Ma M, Zavala-Ramír M, Rivera-Reyna L, del-Moral-Rossete L, Lopez-Rubio C, Valadez-de-Alba M, Bat-Erdene A, Chuluunchimeg K, Baatar O, Batkhuu B, Ariyasuren Z, Bayasgalan G, Baigalmaa S, Uyanga T, Suvderdene P, Enkhtsetseg D, Suvd-Erdene D, Chimedtseye E, Bilguun G, Tuvshinbayar M, Dorj M, Khajidmaa T, Batjargal G, Naranpurev M, Bat-Erdene A, Bolormaa T, Battsetseg T, Batsuren C, Batsaikhan N, Tsolmon B, Saranbaatar A, Natsagnyam P, Nyamdawa O, Madani N, Abouqal R, Zeggwagh A, Berechid K, Dendane T, Koirala A, Giri R, Sainju S, Acharya S, Paul N, Parveen A, Raza A, Nizamuddin S, Sultan F, Imran X, Sajjad R, Khan M, Sana F, Tayyab N, Ahmed A, Zaman G, Khan I, Khurram F, Hussain A, Zahra F, Imtiaz A, Daud N, Sarwar M, Roop Z, Yusuf S, Hanif F, Shumaila X, Zeb J, Ali S, Demas S, Ariff S, Riaz A, Hussain A, Kanaan A, Jeetawi R, Castaño E, Moreno-Castillo L, García-Mayorca E, Prudencio-Leon W, Vivas-Pardo A, Changano-Rodriguez M, Castillo-Bravo L, Aibar-Yaranga K, Marquez-Mondalgo V, Mueras-Quevedo J, Meza-Borja C, Flor J, Fernandez-Camacho Y, Banda-Flores C, Pichilingue-Chagray J, Castaneda-Sabogal A, Caoili J, Mariano M, Maglente R, Santos S, de-Guzman G, Mendoza M, Javellana O, Tajanlangit A, Tapang A, Sg-Buenaflor M, Labro E, Carma R, Dy A, Fortin J, Navoa-Ng J, Cesar J, Bonifacio B, Llames M, Gata H, Tamayo A, Calupit H, Catcho V, Bergosa L, Abuy M, Barteczko-Grajek B, Rojek S, Szczesny A, Domanska M, Lipinska G, Jaroslaw J, Wieczoreka A, Szczykutowicza A, Gawor M, Piwoda M, Rydz-Lutrzykowska J, Grudzinska M, Kolat-Brodecka P, Smiechowicz K, Tamowicz B, Mikstacki A, Grams A, Sobczynski P, Nowicka M, Kretov V, Shalapuda V, Molkov A, Puzanov S, Utkin I, Tchekulaev A, Tulupova V, Vasiljevic S, Nikolic L, Ristic G, Eremija J, Kojovic J, Lekic D, Simic A, Hlinkova S, Lesnakova A, Kadankunnel S, Abdo-Ali M, Pimathai R, Wanitanukool S, Supa N, Prasan P, Luxsuwong M, Khuenkaew Y, Lamngamsupha J, Siriyakorn N, Prasanthai V, Apisarnthanarak A, Borgi A, Bouziri A, Cabadak H, Tuncer G, Bulut C, Hatipoglu C, Sebnem F, Demiroz A, Kaya A, Ersoz G, Kuyucu N, Karacorlu S, Oncul O, Gorenek L, Erdem H, Yildizdas D, Horoz O, Guclu E, Kaya G, Karabay O, Altindis M, Oztoprak N, Sahip Y, Uzun C, Erben N, Usluer G, Ozgunes I, Ozcelik M, Ceyda B, Oral M, Unal N, Cigdem Y, Bayar M, Bermede O, Saygili S, Yesiler I, Memikoglu O, Tekin R, Oncul A, Gunduz A, Ozdemir D, Geyik M, Erdogan S, Aygun C, Dilek A, Esen S, Turgut H, Sungurtekin H, Ugurcan D, Yarar V, Bilir Y, Bayram N, Devrim I, Agin H, Ceylan G, Yasar N, Oruc Y, Ramazanoglu A, Turhan O, Cengiz M, Yalcin A, Dursun O, Gunasan P, Kaya S, Senol G, Kocagoz A, Al-Rahma H, Annamma P, El-Houfi A, Vidal H, Perez F, D-Empaire G, Ruiz Y, Hernandez D, Aponte D, Salinas E, Vidal H, Navarrete N, Vargas R, Sanchez E, Ngo Quy C, Thu T, Nguyet L, Hang P, Hang T, Hanh T, Anh D. International Nosocomial Infection Control Consortium (INICC) report, data summary of 45 countries for 2012-2017: Device-associated module. Am J Infect Control 2020; 48:423-432. [PMID: 31676155 DOI: 10.1016/j.ajic.2019.08.023] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/20/2019] [Accepted: 08/21/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND We report the results of International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2012 to December 2017 in 523 intensive care units (ICUs) in 45 countries from Latin America, Europe, Eastern Mediterranean, Southeast Asia, and Western Pacific. METHODS During the 6-year study period, prospective data from 532,483 ICU patients hospitalized in 242 hospitals, for an aggregate of 2,197,304 patient days, were collected through the INICC Surveillance Online System (ISOS). The Centers for Disease Control and Prevention-National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI) were applied. RESULTS Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the medical-surgical ICUs, the pooled central line-associated bloodstream infection rate was higher (5.05 vs 0.8 per 1,000 central line-days); the ventilator-associated pneumonia rate was also higher (14.1 vs 0.9 per 1,000 ventilator-days,), as well as the rate of catheter-associated urinary tract infection (5.1 vs 1.7 per 1,000 catheter-days). From blood cultures samples, frequencies of resistance, such as of Pseudomonas aeruginosa to piperacillin-tazobactam (33.0% vs 18.3%), were also higher. CONCLUSIONS Despite a significant trend toward the reduction in INICC ICUs, DA-HAI rates are still much higher compared with CDC-NHSN's ICUs representing the developed world. It is INICC's main goal to provide basic and cost-effective resources, through the INICC Surveillance Online System to tackle the burden of DA-HAIs effectively.
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Bajpai V, Singh P, Chakraborty R, Bhardwaj N, Mathur P. Anti-microbial-resistance and profile of exotoxins of invasive beta-haemolytic-streptococci infections in trauma patients. J Infect Public Health 2020. [DOI: 10.1016/j.jiph.2020.01.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Sharma R, Bansal R, Bharadia L, Mathur P. All that glitters is not gold – “Antineutrophil cytoplasmic antibodies vasculitis presenting with acute respiratory distress syndrome mimic”. J Pediatr Crit Care 2020. [DOI: 10.4103/jpcc.jpcc_107_20] [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
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Lazzaro A, Saini A, Elton C, Atkin GK, Mitchell IC, Lotzof K, Marcus A, Mathur P, Boyle DJ. Secondary colonic stent insertion in acute large bowel obstruction following primary stent failure. Ann R Coll Surg Engl 2019; 102:141-143. [PMID: 31660754 DOI: 10.1308/rcsann.2019.0136] [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: 11/22/2022] Open
Abstract
INTRODUCTION Colonic stent insertion has been shown to be an effective treatment for patients with acute large bowel obstruction, either as a bridge to surgery or as definitive treatment. However, little is known of the role of secondary stent insertion following primary stent failure in patients considered inappropriate or high risk for emergency surgery. METHODS Fourteen patients presenting with acute large bowel obstruction who had previously been treated with colonic stent insertion were studied. All underwent attempted placement of a secondary stent. RESULTS Technical deployment of the stent was accomplished in 12 patients (86%) but only 9 (64%) achieved clinical decompression. Successful deployment and clinical decompression of a secondary stent was associated with older age (p=0.038). Sex, pathology, site of obstruction, duration of efficacy of initial stent and cause of primary failure were unrelated to outcome. No procedure related morbidity or mortality was noted following repeated intervention. CONCLUSIONS Secondary colonic stent insertion appears an effective, safe treatment in the majority of patients presenting with acute large bowel obstruction following failure of a primary stent.
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Affiliation(s)
- A Lazzaro
- Royal Free London NHS Foundation Trust, UK
| | - A Saini
- Royal Free London NHS Foundation Trust, UK
| | - C Elton
- Royal Free London NHS Foundation Trust, UK
| | - G K Atkin
- Royal Free London NHS Foundation Trust, UK
| | | | - K Lotzof
- Royal Free London NHS Foundation Trust, UK
| | - A Marcus
- Royal Free London NHS Foundation Trust, UK
| | - P Mathur
- Royal Free London NHS Foundation Trust, UK
| | - D J Boyle
- Royal Free London NHS Foundation Trust, UK
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Shaik MA, Mathur P. Generalization of Scheduling Models for Batch Plants and Pipeless Plants. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b00106] [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: 11/28/2022]
Affiliation(s)
- M. A. Shaik
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
| | - P. Mathur
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
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Dua D, Nagoorvali D, Chauhan MS, Palta P, Mathur P, Singh MK. Calcium ionophore enhanced developmental competence and apoptotic dynamics of goat parthenogenetic embryos produced in vitro. In Vitro Cell Dev Biol Anim 2019; 55:159-168. [PMID: 30737632 DOI: 10.1007/s11626-019-00322-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 01/16/2019] [Indexed: 12/21/2022]
Abstract
Parthenogenetically developed embryos are efficient sources of in vitro embryo production, having less ethical issue and being useful for investigating culture conditions/treatments, early developmental, genomic studies, and homonymous source of stem cells. Keeping its advantages in mind, we aimed to study the effects of different activating agents on embryo production and its quality and gene expression. In the present study, 1348 immature oocytes recovered were parthenogenetically developed to embryos. Usable-quality immature oocytes were collected by puncturing the surface follicles and matured in in vitro maturation (IVM) medium for 27 h in a humidified 5% CO2 incubator at 38.5°C. The matured oocytes were parthenogenetically activated by exposure to 5 μM calcium ionophore for 5 min or 7% ethanol for 7 min sequentially followed by 4 h incubation in 2 mM 6-DMAP and then in vitro cultured (IVC) in RVCL/G-2 medium for 8 days. Matured oocytes were activated by calcium ionophore, the cleavage rate observed was 76.67 ± 3.47%, and further they developed into 4-cell, 8-16-cell, morula, blastocyst, and hatched blastocyst with 85.30 ± 1.57%, 70.60 ± 2.00%, 45.05 ± 2.66%, 22.89 ± 2.40%, and 5.70 ± 1.97%, respectively. Whereas ethanol-activated oocytes showed cleavage rate of 87.60 ± 1.70% and further culture developed into 4-cell, 8-16 cell, morula, blastocyst, and hatched blastocyst with 86.14 ± 1.03%, 71.56 ± 2.21%, 40.90 ± 2.45%, 19.02 ± 1.26%, and 2.22 ± 0.38%, respectively. Blastocyst developed from calcium ionophore-activated oocytes showed significantly (P < 0.05) higher total cell number (282.25 ± 27.02 vs 206.00 ± 40.46) and a lower apoptotic index (2.42 ± 0.46 vs 4.07 ± 1.44) than blastocyst developed from ethanol-activated oocytes. The relative expression of anti-apoptotic genes (BCL2, BCL2A1, MCL) at different stages of embryos produced by either calcium ionophore or ethanol activation was found to be increased in earlier stages and decreased in later stages of embryonic development. Similarly, when these embryos were subjected to pro-apoptotic genes (BAX, BAD, BAK), expression was found to be slightly higher in blastocysts than other stages. This study shows that calcium ionophore-activated blastocysts were developmentally more competent than the ethanol-activated blastocysts.
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Affiliation(s)
- Diksha Dua
- Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal, 132001, India
| | - D Nagoorvali
- Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal, 132001, India
| | - M S Chauhan
- ICAR-Central Institute for Research on Goats, Makhdum, Mathura, 281122, India
| | - P Palta
- Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal, 132001, India
| | - P Mathur
- Amity Institute of Biotechnology, Amity University, Noida, 201303, India
| | - M K Singh
- Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal, 132001, India.
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Dervishi E, van der Zande L, Reimert I, Mathur P, Knol E, Plastow G. PSIX-15 A pilot study to investigate the relationship between social behavior and serum metabolite concentration in finisher pigs. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.027] [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)
- E Dervishi
- Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta,Edmonton, AB, Canada
| | | | - I Reimert
- Wageningen University & Research,Wageningen, Netherlands
| | - P Mathur
- Topigs Norsvin Research Center,Beuningen, Netherlands
| | - E Knol
- Topigs Norsvin Research Center,Beuningen, Netherlands
| | - G Plastow
- Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta,Edmonton, AB, United States
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Botchorisvili R, Canis M, Mathur P. Rare Incidental Finding and Laparoscopic Excision of Broad Ligament Aggressive Angiomyxoma (AA) during a Planned Laparoscopic Uro-Gynecological Procedure. J Minim Invasive Gynecol 2018. [DOI: 10.1016/j.jmig.2018.09.471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Mathur P, Agarwal S. 049 EPIDEMIOLOGY AND OUTCOME OF ACUTE KIDNEY INJURY REQUIRING DIALYSIS. Kidney Int Rep 2017. [DOI: 10.1016/j.ekir.2017.06.030] [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: 11/16/2022] Open
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Mathur P, Gupta SS, Sarasam R, Namana V. Dextrose, hypokalemia and torsade de pointes. QJM 2017; 110:249-250. [PMID: 28062741 DOI: 10.1093/qjmed/hcx008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Namana V, Gupta SS, Sarasam R, Mathur P. Historical TB treatment-Plombage. QJM 2017; 110:191. [PMID: 28040704 DOI: 10.1093/qjmed/hcw213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Mathur P, Sagar S, Kumar S, Sharma V, Gupta D, Lalwani S, Rani R, Muruganantham A. Does the presence of Klebsiella pneumoniae carbapenemase and New Delhi metallo-β-lactamase-1 genes in pathogens lead to fatal outcome? Indian J Med Microbiol 2017; 34:495-499. [PMID: 27934829 DOI: 10.4103/0255-0857.195367] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Infections due to multidrug-resistant (MDR) pathogens are a medical challenge. There is considerable apprehension among clinicians regarding pathogens reported as carrying New Delhi metallo-β-lactamase-1 (NDM) and Klebsiella pneumoniae carbapenemase (KPC) genes from their patients. In the face of extremely high rates of antimicrobial resistance, it is essential to gauge the clinical significance of isolation of pathogens carrying these genes from clinical samples. This study compares the outcome of patients infected with pathogens carrying NDM/KPC genes versus those without these genes. METHODS The study was conducted over a 1-year period at a Level-1 trauma centre. Hospital-acquired infections were diagnosed on the basis of CDC's criteria. The correlation of isolation of a multi-resistant pathogen carrying KPC or NDM genes with the clinical outcome was ascertained. RESULTS A total of 276 consecutive patients admitted to the Intensive Care Units/wards of the JPNA Trauma Centre were included in this study. Of the 371 isolates recovered from these patients, 116 were from patients who had a fatal outcome. The difference in prevalence of blaNDMand blaKPCwas not significant in any genera of Gram-negative pathogens isolated from patients who survived versus those who had a fatal outcome. CONCLUSION Isolation of MDR pathogens carrying NDM/KPC genes from clinical samples is not always a harbinger of a fatal outcome. Efforts should be made to prevent cross-transmission of these pathogens.
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Affiliation(s)
- P Mathur
- Department of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - S Sagar
- Department of Surgery, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - S Kumar
- Department of Surgery, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - V Sharma
- Department of Orthopedica, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - D Gupta
- Department of Neurosurgery, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - S Lalwani
- Department of Forensic Medicine, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - R Rani
- Department of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Centre, New Delhi, India
| | - A Muruganantham
- Department of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Centre, All Institute of Medical Sciences, New Delhi, India
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Batra P, Mathur P, Bhoi S, Thanbuana BT, Nair S, Balamurgan M, Misra MC. Human immunodeficiency virus, hepatitis B virus and hepatitis C virus seroprevalence in critically ill emergency department patients at a Trauma Care Centre, India. Indian J Med Microbiol 2016; 34:183-5. [PMID: 27080769 DOI: 10.4103/0255-0857.180281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Human Immunodeficiency Virus (HIV), Hepatitis B virus (HBV) and Hepatitis C virus (HCV) are the most common occupationally acquired infections amongst the healthcare workers (HCWs) with critically ill patients attending the emergency department being the most common source of occupationally acquired infections. Therefore, the present study was conducted at a 165 bedded level-1 trauma centre of India to ascertain the seroprevalence rate of HIV, HBV and HCV; and thus the risk associated with the occupational exposure in a busy emergency setting of the developing world. METHODOLOGY A retrospective, 7 years study (2007-2013) was carried out at the JPNA Trauma Centre of the 2,500 bedded All India Institute of Medical Sciences, New Delhi. Records of all patients whose serum samples were sent to the laboratory for viral markers testing were obtained and those falling in the red area were included. RESULTS A total of 11,630 patients were received in the red area; and samples from 7,650 patients were sent for testing. Seropositivity of HIV, HBV and HCV in these samples was 0.28%, 3.4% and 0.9% respectively. The number of samples received was lesser than the total number of patients received in the red area. CONCLUSION Adopting Standard Precautions (SP) can be used as an easy method to decrease the risk of occupationally acquired infections.
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Affiliation(s)
| | - P Mathur
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
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Rosenthal VD, Al-Abdely HM, El-Kholy AA, AlKhawaja SAA, Leblebicioglu H, Mehta Y, Rai V, Hung NV, Kanj SS, Salama MF, Salgado-Yepez E, Elahi N, Morfin Otero R, Apisarnthanarak A, De Carvalho BM, Ider BE, Fisher D, Buenaflor MCS, Petrov MM, Quesada-Mora AM, Zand F, Gurskis V, Anguseva T, Ikram A, Aguilar de Moros D, Duszynska W, Mejia N, Horhat FG, Belskiy V, Mioljevic V, Di Silvestre G, Furova K, Ramos-Ortiz GY, Gamar Elanbya MO, Satari HI, Gupta U, Dendane T, Raka L, Guanche-Garcell H, Hu B, Padgett D, Jayatilleke K, Ben Jaballah N, Apostolopoulou E, Prudencio Leon WE, Sepulveda-Chavez A, Telechea HM, Trotter A, Alvarez-Moreno C, Kushner-Davalos L, Desse J, Maurizi D, Montanini A, Chaparro G, Stagnaro J, Romani A, Bianchi A, Álvarez G, Palaoro A, Bernan M, Cabrera-Montesino R, Domínguez C, Rodríguez C, Silva C, Bogdanowicz E, Riera F, Benchetrit G, Perez I, Vimercati J, Marcos L, Ramasco L, Caridi M, Oyola M, Rodríguez M, Spadaro M, Olivieri M, Saul P, Juarez P, Pérez R, Botta P, Quintana D, Ríos A, Stagnaro J, Chediack V, Chilon W, Alsayegh AI, Yaseen FH, Hani LF, Sowar SF, Magray TA, Medeiros E, Alves De Oliveira A, Romario-Mendes A, Fernandes-Valente C, Santos C, Escudeiro D, Azevedo-Ferreira Lima D, Azevedo-Pereira D, Onzi-Siliprandi E, Serpa-Maia F, Aguiar-Leitao F, Assuncao-Ponte G, Dos Anjos-Lima J, Olszewski J, Harten Pinto Coelho K, Alves De Lima L, Mendonca M, Maciel-Canuto Amaral M, Tenorio M, Gerah S, Andrade-Oliveira-Reis M, Moreira M, Ximenes-Rocha Batista M, Campos-Uchoa R, Rocha-Vasconcelos Carneiro R, Amaral De Moraes R, Do Nascimento S, Moreira-Matos T, Lima-De Barros Araujo T, De Jesus Pinheiro-Bandeira T, Machado-Silva V, Santos Monteiro W, Hristozova E, Kostadinov E, Angelova K, Velinova V, Dicheva V, Guo X, Ye G, Li R, Song L, Liu K, Liu T, Song G, Wang C, Yang X, Yu H, Yang Y, Martínez A, Vargas-García A, Lagares-Guzmán A, González A, Linares C, Ávila-Acosta C, Santofimio D, Yepes-Gomez D, Marin-Tobar D, Mazo-Elorza D, Chapeta-Parada E, Camacho-Moreno G, Roncancio-Vill G, Valderrama-Marquez I, Ruiz-Gallardo J, Ospina-Martínez J, Osorio J, Marín-Uribe J, López J, Gualtero S, Rojas J, Gomez-Nieto K, Rincon L, Meneses-Ovallos L, Canas-Giraldo L, Burgos-Florez L, Amaral-Almeida Costa M, Rodriguez M, Barahona-Guzmán N, Mancera-Paez O, Rios-Arana P, Ortega R, Romero-Torres S, Pulido-Leon S, Valderrama S, Moreno-Mejia V, Raigoza-Martinez W, Villamil-Gomez W, Pardo-Lopez Y, Argüello-Ruiz A, Solano-Chinchilla A, Muñoz-Gutierrez G, Calvo-Hernández I, Maroto-Vargas L, Zuniga M, Valverde-Hernandez M, Chavarria-Ugalde O, Herrera B, Díaz C, Bovera M, Cevallos C, Pelaez C, Jara E, Delgado V, Coello-Gordon E, Picoita F, Guerrero-Toapant F, Valencia F, Santacruz G, Gonzalez H, Pazmino L, Garcia M, Arboleda M, Lascano M, Alquinga N, Ramírez V, Yousef RH, Moustafa AEM, Ahmed A, Elansary A, Ali AM, Hasanin A, Messih AA, Ramadan A, El Awady B, Hassan D, Abd El Aziz D, Hamza H, Agha HM, Ghazi IA, ElKholy J, Fattah MA, Elanany M, Mansour M, Haleim M, Fouda R, El-Sherif RH, Bekeit S, Bayani V, Elkholy Y, Abdelhamid Y, Salah Z, Rivera D, Chawla A, Manked A, Azim A, Mubarak A, Thakur A, Dharan A, Patil A, Sasidharan A, Bilolikar AK, Anirban Karmakar A, Mathew A, Kulkarni A, Agarwal A, Sriram A, Dwivedy A, Dasgupta A, Bhakta A, Suganya AR, Poojary A, Mani AK, Sakle A, Abraham BK, Padmini B, Ramachandran B, Ray B, Pati BK, Chaudhury BN, Mishra BM, Biswas S, Saibala MB, Jawadwala BQ, Rodrigues C, Modi C, Patel C, Khanna D, Devaprasad D, Divekar D, Aggarwal DG, Divatia J, Zala D, Pathrose E, Abubakar F, Chacko F, Gehlot G, Khanna G, Sale H, Roy I, Shelgaonkar J, Sorabjee J, Eappen J, Mathew J, Pal J, Varma K, Joshi KL, Sandhu K, Kelkar R, Ranganathan L, Pushparaj L, Lavate M, Latha M, Suryawanshi M, Bhattacharyya M, Kavathekar M, Agarwal MK, Patel M, Shah M, Sivakumar M, Kharbanda M, Bej M, Potdar M, Chakravarthy M, Karpagam M, Myatra S, Gita N, Rao N, Sen N, Ramakrishnan N, Jaggi N, Saini N, Pawar N, Modi N, Pandya N, Mohanty N, Thakkar P, Joshi P, Sahoo PK, Nair PK, Kumar PS, Patil P, Mukherjee P, Mathur P, Shah P, Sukanya R, Arjun R, Chawla R, Gopalakrishnan R, Venkataraman R, Raut S, Krupanandan R, Tejam R, Misra R, Debroy R, Saranya S, Narayanan S, Mishra S, Saseedharan S, Sengupta S, Patnaik S, Sinha S, Blessymole S, Rohra S, Rajagopal S, Mukherjee S, Sengupta S, John S, Bhattacharya S, Sijo, Bhattacharyya S, Singh S, Sohanlal T, Vadi S, Dalal S, Todi S, Kumar S, Kansal S, Misra S, Bhattacharyya S, Nirkhiwale S, Purkayastha SK, Mukherjee S, Singh S, Sahu S, Sharma S, Kumar S, Basu S, Shetty S, Shah S, Singhal T, Francis T, Anand T, Venkateshwar V, Thomas V, Kothari V, Velupandi, Kantroo V, Sitohang G, Kadarsih R, Sanaei A, Maghsudi B, Sabetian G, Masjedi M, Alebouyeh M, Sherafat SJ, Mohamed YK, Al Khamis A, Alsaadi AS, Al-Jarie AA, Mutwalli AH, Rillorta A, Thomas A, Kelany A, Manao A, Alamri DM, Santiago E, Cruzpero E, Sawan FA, Al Qasmah FA, Alabdaly H, Al-Dossary HA, Ahmed H, Roshdi H, Al-Alkami HY, Hanafi H, Ammari HE, Hani HMA, Asiri IAA, Mendoza JA, Philipose J, Selga JO, Kehkashan, Ghalilah KM, Redito LS, Josph L, Al-Alawi M, Al-Gethamy MM, Madco M, Manuel M, Girvan M, Aldalaton M, De Guzman M, Alkhamaly M, Masfar M, Karrar MAA, Al Azmi MM, Quisai ML, Torres MM, Al-Abdullah N, Tawfic NA, Elsayed N, Abdulkhalik NS, Bugis NA, Ariola NC, Gad N, Alghosn N, Tashkandi N, Zharani NA, De Vera P, Krishnan R, Al Shehri RH, Jaha RNA, Thomas R, Cresencia RL, Penuliar R, Lozada R, Al Qahtani S, Twfik S, Al Faraj SH, El-Sherbiny S, Alih SJB, Briones S, Bukhari SZ, Alotaibi TSA, Gopal U, Nair U, Abdulatif WA, Hussain WM, Demotica WM, Spahija G, Baftiu N, Gashi A, Omar AA, Mohamed A, Rebello F, Almousa HH, Abdo NM, George S, Khamis S, Thomas S, Ahmad Zaatari A, Anwar Al Souheil A, Ayash H, Zeid I, Tannous J, Zahreddine N, Ahmadieh R, Mahfouz T, Kardas T, Tanzi V, Kanafani Z, Hammoud Z, Dagys A, Grinkeviciute D, Kevalas R, Kondratas T, Petrovska M, Popovska K, Mitrev Z, Miteva ZB, Jankovska K, Guroska ST, Gan CS, Othman AA, Yusof AM, Abidin ASZ, Aziz FA, Weng FK, Zainol H, Bakar KBA, Lum LCS, Mansor M, Zaman MK, Jamaluddin MFH, Hasan MS, Rahman RA, Zaini RHM, Zhazali R, Sri Ponnampala SSL, Chuah SL, Shukeri WFWM, Hassan WNW, Yusoff WNW, Mat WRW, Cureno-Diaz M, Aguirre-Avalos G, Flores-Alvarado A, Cerero-Gudino A, Zamores-Pedroza A, Cano-Munoz B, Hernandez-Chena B, Carreon-Martinez C, Coronado-Magana H, Corona-Jimenez F, Rodriguez-Noriega E, Alcala-Martinez E, Gonzalez-Diaz E, Guerra-Infante F, Arteaga-Troncoso G, Martinez-Falcon G, Leon-Garnica G, Delgado-Aguirre H, Perez-Gomez H, Sosa-Gonzalez I, Galindo-Olmeda J, Ayala-Gaytan J, Rodriguez-Pacheco J, Zamorano-Flores L, Lopez-Pulgarin J, Miranda-Novales M, Ramírez M, Lopez-Hurtado M, Lozano M, Gomez M, Sanchez-Castuera M, Kasten-Monges M, Gonzalez-Martinez M, Sanchez-Vargas M, Culebro-Burguet M, Altuzar-Figueroa M, Mijangos-Mendez J, Ramires O, Espinosa O, De Leon-Escobedo R, Salas-Flores R, Ruiz-Rendon R, Petersen-Morfin S, Aguirre-Diaz S, Esparza-Ahumada S, Vega-Gonzalez S, Gaona-Flores V, Monroy-Colin V, Cruz-Rivera Z, Bat-Erdene A, Narankhuu B, Choijamts B, Tuvdennyam B, Batkhuu B, Chuluunchimeg K, Enkhtsetseg D, Batjargal G, Bayasgalan G, Dorj M, Mendsaikhan N, Baatar O, Suvderdene P, Baigalmaa S, Khajidmaa T, Begzjav T, Tsuyanga, Ariyasuren Z, Zeggwagh A, Berechid K, Abidi K, Madani N, Abouqal R, Koirala A, Giri R, Sainju S, Acharya SP, Ahmed A, Raza A, Parveen A, Sultan F, Khan M, Paul N, Daud N, Yusuf S, Nizamuddin S, Garcia-Mayorca E, Castaño E, Moreno-Castillo J, Ballinas-Aquino J, Lara L, Vargas M, Rojas-Bonilla M, Ramos S, Mapp T, De Iturrado V, La Hoz Vergara C, Linares-Calderon C, Moreno D, Ramirez E, Ramírez Wong F, Montenegro-Orrego G, Sandoval-Castillo H, Pichilingue-Chagray J, Mueras-Quevedo J, Aibar-Yaranga K, Castillo-Bravo L, Santivanez-Monge L, Mayorga-Espichan M, Rosario-Tueros M, Changano-Rodriguez M, Salazar-Ramirez N, Marquez-Mondalgo V, Tajanlangit ALN, Tamayo AS, Llames CMJP, Labro E, Dy AP, Fortin J, Bergosa L, Salvio L, Bermudez V, Sg-Buenaflor M, Trajano M, Mendoza M, Javellana O, Maglente R, Arreza-Galapia Y, Navoa-Ng J, Kubler A, Barteczko-Grajek B, Dragan B, Zurawska M, Mikaszewska-Sokolewicz M, Zielinska M, Ramos-Ortiz G, Florin-Rogobete A, Vlad CD, Muntean D, Sandesc D, Papurica M, Licker M, Bedreag OH, Popescu R, Grecu S, Dumitrascu V, Molkov A, Galishevskiy D, Furman M, Simic A, Lekic D, Ristic G, Eremija J, Kojovic J, Nikolic L, Bjelovic M, Lesnakova A, Hlinkova S, Gamar-Elanbya M, Supa N, Prasan P, Pimathai R, Wanitanukool S, Somabutr S, Ben-Jaballah N, Borgi A, Bouziri A, Dilek A, Oncul A, Kaya A, Demiroz AP, Gunduz A, Ozgultekin A, Inan A, Yalcin A, Ramazanoglu A, Engin A, Willke A, Meco BC, Aygun C, Bulut C, Uzun C, Becerik C, Hatipoglu CA, Guclu CY, Ozdemir D, Yildizdas D, Ugurcan D, Azak E, Guclu E, Yilmaz EM, Sebnem-Erdinc F, Sirmatel F, Ulger F, Sari F, Kizilates F, Usluer G, Ceylan G, Ersoz G, Kaya G, Ertem GT, Senol G, Agin H, Cabadak H, Yilmaz H, Sungurtekin H, Zengin H, Turgut H, Ozgunes I, Devrim I, Erdem I, Işcanlı IGE, Bakir MM, Geyik M, Oral M, Meric M, Cengiz M, Ozcelik M, Altindis M, Sunbul M, Elaldi N, Kuyucu N, Unal N, Oztoprak N, Yasar N, Erben N, Bayram N, Dursun O, Karabay O, Coskun O, Horoz OO, Turhan O, Sandal OS, Tekin R, Esen S, Erdogan SY, Unal S, Karacorlu S, Sen S, Sen S, Sacar S, Yarar V, Oruc Y, Sahip Y, Kaya Z, Philip A, Elhoufi A, Alrahma H, Sachez E, Perez F, Empaire G, Vidal H, Montes-Bravo L, Guzman Siritt M, Orozco N, Navarrete N, Ruiz Y, De Anez ZDG, Van Trang DT, Minh DQ, Co DX, Anh DPP, Thu LTA, Tuyet LTD, Nguyet LTT, Chau NU, Binh NG, Tien NP, Anh NQ, Hang PT, Hanh TTM, Hang TTT, Thu TA, Thoa VTH. International Nosocomial Infection Control Consortium report, data summary of 50 countries for 2010-2015: Device-associated module. Am J Infect Control 2016; 44:1495-1504. [PMID: 27742143 DOI: 10.1016/j.ajic.2016.08.007] [Citation(s) in RCA: 217] [Impact Index Per Article: 27.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Accepted: 08/29/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND We report the results of International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2010-December 2015 in 703 intensive care units (ICUs) in Latin America, Europe, Eastern Mediterranean, Southeast Asia, and Western Pacific. METHODS During the 6-year study period, using Centers for Disease Control and Prevention National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI), we collected prospective data from 861,284 patients hospitalized in INICC hospital ICUs for an aggregate of 3,506,562 days. RESULTS Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the INICC medical-surgical ICUs, the pooled rate of central line-associated bloodstream infection, 4.1 per 1,000 central line-days, was nearly 5-fold higher than the 0.8 per 1,000 central line-days reported from comparable US ICUs, the overall rate of ventilator-associated pneumonia was also higher, 13.1 versus 0.9 per 1,000 ventilator-days, as was the rate of catheter-associated urinary tract infection, 5.07 versus 1.7 per 1,000 catheter-days. From blood cultures samples, frequencies of resistance of Pseudomonas isolates to amikacin (29.87% vs 10%) and to imipenem (44.3% vs 26.1%), and of Klebsiella pneumoniae isolates to ceftazidime (73.2% vs 28.8%) and to imipenem (43.27% vs 12.8%) were also higher in the INICC ICUs compared with CDC-NHSN ICUs. CONCLUSIONS Although DA-HAIs in INICC ICU patients continue to be higher than the rates reported in CDC-NSHN ICUs representing the developed world, we have observed a significant trend toward the reduction of DA-HAI rates in INICC ICUs as shown in each international report. It is INICC's main goal to continue facilitating education, training, and basic and cost-effective tools and resources, such as standardized forms and an online platform, to tackle this problem effectively and systematically.
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