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Khilnani GC, Tiwari P, Mittal S, Kulkarni AP, Chaudhry D, Zirpe KG, Todi SK, Mohan A, Hegde A, Jagiasi BG, Krishna B, Rodrigues C, Govil D, Pal D, Divatia JV, Sengar M, Gupta M, Desai M, Rungta N, Prayag PS, Bhattacharya PK, Samavedam S, Dixit SB, Sharma S, Bandopadhyay S, Kola VR, Deswal V, Mehta Y, Singh YP, Myatra SN. Guidelines for Antibiotics Prescription in Critically Ill Patients. Indian J Crit Care Med 2024; 28:S104-S216. [PMID: 39234229 PMCID: PMC11369928 DOI: 10.5005/jp-journals-10071-24677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 03/20/2024] [Indexed: 09/06/2024] Open
Abstract
How to cite this article: Khilnani GC, Tiwari P, Mittal S, Kulkarni AP, Chaudhry D, Zirpe KG, et al. Guidelines for Antibiotics Prescription in Critically Ill Patients. Indian J Crit Care Med 2024;28(S2):S104-S216.
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Affiliation(s)
- Gopi C Khilnani
- Department of Pulmonary, Critical Care and Sleep Medicine, PSRI Hospital, New Delhi, India
| | - Pawan Tiwari
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Saurabh Mittal
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Atul P Kulkarni
- Division of Critical Care Medicine, Department of Anaesthesia, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Dhruva Chaudhry
- Department of Pulmonary and Critical Care Medicine, University of Health Sciences, Rohtak, Haryana, India
| | - Kapil G Zirpe
- Department of Neuro Trauma Unit, Grant Medical Foundation, Pune, Maharashtra, India
| | - Subhash K Todi
- Department of Critical Care, AMRI Hospital, Kolkata, West Bengal, India
| | - Anant Mohan
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Ashit Hegde
- Department of Medicine & Critical Care, P D Hinduja National Hospital, Mumbai, India
| | - Bharat G Jagiasi
- Department of Critical Care, Kokilaben Dhirubhai Ambani Hospital, Navi Mumbai, Maharashtra, India
| | - Bhuvana Krishna
- Department of Critical Care Medicine, St John's Medical College and Hospital, Bengaluru, India
| | - Camila Rodrigues
- Department of Microbiology, P D Hinduja National Hospital, Mumbai, India
| | - Deepak Govil
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Divya Pal
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Jigeeshu V Divatia
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Manju Sengar
- Department of Medical Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Mansi Gupta
- Department of Pulmonary Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Mukesh Desai
- Department of Immunology, Pediatric Hematology and Oncology Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, India
| | - Narendra Rungta
- Department of Critical Care & Anaesthesiology, Rajasthan Hospital, Jaipur, India
| | - Parikshit S Prayag
- Department of Transplant Infectious Diseases, Deenanath Mangeshkar Hospital, Pune, Maharashtra, India
| | - Pradip K Bhattacharya
- Department of Critical Care Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Srinivas Samavedam
- Department of Critical Care, Ramdev Rao Hospital, Hyderabad, Telangana, India
| | - Subhal B Dixit
- Department of Critical Care, Sanjeevan and MJM Hospital, Pune, Maharashtra, India
| | - Sudivya Sharma
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Susruta Bandopadhyay
- Department of Critical Care, AMRI Hospitals Salt Lake, Kolkata, West Bengal, India
| | - Venkat R Kola
- Department of Critical Care Medicine, Yashoda Hospitals, Hyderabad, Telangana, India
| | - Vikas Deswal
- Consultant, Infectious Diseases, Medanta - The Medicity, Gurugram, Haryana, India
| | - Yatin Mehta
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Yogendra P Singh
- Department of Critical Care, Max Super Speciality Hospital, Patparganj, New Delhi, India
| | - Sheila N Myatra
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
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Armstrong D, Dregan A, Ashworth M, White P. Risk of fibromyalgia following antibiotic prescriptions: A population-based case-control study. Eur J Pain 2024; 28:1008-1017. [PMID: 38260960 DOI: 10.1002/ejp.2239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/21/2023] [Accepted: 01/06/2024] [Indexed: 01/24/2024]
Abstract
BACKGROUND The health of the gut microbiome is now recognized to be an important component of the gut-brain axis which itself appears to be implicated in pain perception. Antibiotics are known to create dysbiosis in the microbiome, so whether fibromyalgia is more commonly diagnosed after antibiotic prescriptions provides a means of exploring the role of the microbiome in the experience of chronic pain. METHODS A case-control study was carried out using electronic health records collected in the UK's Clinical Practice Research Datalink (CPRD), a comprehensive database of primary care consultations. For each case of diagnosed fibromyalgia, three controls were identified and matched by age, gender and GP practice. The exposure variable was the number and timing of antibiotic prescriptions over previous years. The analysis involved adjusting for a wide range of co-variates that might be possible confounders. RESULTS A total of 44,674 cases of fibromyalgia were identified together with 133,513 controls. After adjusting for co-variates, it was found that both the total number of prescriptions and their timing was associated with an FM diagnosis. For example, the quartile with the highest number of prescriptions and that with the longest exposure had a greater than three-fold increase in FM diagnoses (number of prescriptions: odds ratio 3.92; 95% CIs: 3.71-4.13; exposure odds ratio 3.28; CIs: 3.13-3.43). Some antibiotics (such as tetracyclines and metronidazole) seemed to confer greater risk than others. CONCLUSIONS The results lend support for prior antibiotics being an important risk factor for a diagnosis of FM. SIGNIFICANCE This study shows an association between the volume as well as timing of prior antibiotic prescriptions and of a subsequent diagnosis of fibromyalgia in primary care.
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Affiliation(s)
- David Armstrong
- Department of Population Health Sciences, King's College London, London, UK
| | - Alex Dregan
- Department of Psychological Medicine, Institute of Psychiatry, Psychological, and Neurosciences, King's College London, London, UK
| | - Mark Ashworth
- Department of Population Health Sciences, King's College London, London, UK
| | - Patrick White
- Department of Population Health Sciences, King's College London, London, UK
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Hoang U, Williams A, Smylie J, Aspden C, Button E, Macartney J, Okusi C, Byford R, Ferreira F, Leston M, Xie CX, Joy M, Marsden G, Clark T, de Lusignan S. The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study. JMIR Res Protoc 2023; 12:e46938. [PMID: 37327029 DOI: 10.2196/46938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/12/2023] [Accepted: 05/23/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Molecular point-of-care testing (POCT) used in primary care can inform whether a patient presenting with an acute respiratory infection has influenza. A confirmed clinical diagnosis, particularly early in the disease, could inform better antimicrobial stewardship. Social distancing and lockdowns during the COVID-19 pandemic have disturbed previous patterns of influenza infections in 2021. However, data from samples taken in the last quarter of 2022 suggest that influenza represents 36% of sentinel network positive virology, compared with 24% for respiratory syncytial virus. Problems with integration into the clinical workflow is a known barrier to incorporating technology into routine care. OBJECTIVE This study aims to report the impact of POCT for influenza on antimicrobial prescribing in primary care. We will additionally describe severe outcomes of infection (hospitalization and mortality) and how POCT is integrated into primary care workflows. METHODS The impact of POCT for influenza on antimicrobial stewardship (PIAMS) in UK primary care is an observational study being conducted between December 2022 and May 2023 and involving 10 practices that contribute data to the English sentinel network. Up to 1000 people who present to participating practices with respiratory symptoms will be swabbed and tested with a rapid molecular POCT analyzer in the practice. Antimicrobial prescribing and other study outcomes will be collected by linking information from the POCT analyzer with data from the patient's computerized medical record. We will collect data on how POCT is incorporated into practice using data flow diagrams, unified modeling language use case diagrams, and Business Process Modeling Notation. RESULTS We will present the crude and adjusted odds of antimicrobial prescribing (all antibiotics and antivirals) given a POCT diagnosis of influenza, stratifying by whether individuals have a respiratory or other relevant diagnosis (eg, bronchiectasis). We will also present the rates of hospital referrals and deaths related to influenza infection in PIAMS study practices compared with a set of matched practices in the sentinel network and the rest of the network. We will describe any difference in implementation models in terms of staff involved and workflow. CONCLUSIONS This study will generate data on the impact of POCT testing for influenza in primary care as well as help to inform about the feasibility of incorporating POCT into primary care workflows. It will inform the design of future larger studies about the effectiveness and cost-effectiveness of POCT to improve antimicrobial stewardship and any impact on severe outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/46938.
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Affiliation(s)
- Uy Hoang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Alice Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Jessica Smylie
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Carole Aspden
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Elizabeth Button
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Jack Macartney
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Cecilia Okusi
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Filipa Ferreira
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Meredith Leston
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Charis Xuan Xie
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Gemma Marsden
- Royal College of General Practitioners, London, United Kingdom
| | - Tristan Clark
- School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- University Hospital Southampton, National Health Service Foundation Trust, Southampton, United Kingdom
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Armstrong D, Dregan A, Ashworth M, White P. Prior antibiotics and risk of subsequent Herpes zoster: A population-based case control study. PLoS One 2022; 17:e0276807. [PMID: 36301976 PMCID: PMC9612511 DOI: 10.1371/journal.pone.0276807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Background The effect of antibiotics on the human microbiome is now well established, but their indirect effect on the related immune response is less clear. The possible association of Herpes zoster, which involves a reactivation of a previous varicella zoster virus infection, with prior antibiotic exposure might indicate a potential link with the immune response. Methods A case-control study was carried out using a clinical database, the UK’s Clinical Practice Research Datalink. A total of 163,754 patients with varicella zoster virus infection and 331,559 age/sex matched controls were identified and their antibiotic exposure over the previous 10 years, and longer when data permitted, was identified. Conditional logistic regression was used to identify the association between antibiotic exposure and subsequent infection in terms of volume and timing. Results The study found an association of antibiotic prescription and subsequent risk of varicella zoster virus infection (adjusted odds ratio of 1.50; 95%CIs: 1.42–1.58). The strongest association was with a first antibiotic over 10 years ago (aOR: 1.92; 95%CIs: 1.88–1.96) which was particularly pronounced in the younger age group of 18 to 50 (aOR 2.77; 95%CIs: 1.95–3.92). Conclusions By finding an association between prior antibiotics and Herpes zoster this study has shown that antibiotics may be involved in the reactivation of the varicella zoster virus. That effect, moreover, may be relatively long term. This indirect effect of antibiotics on viruses, possibly mediated through their effect on the microbiome and immune system, merits further study.
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Affiliation(s)
- David Armstrong
- School of Life Course and Population Sciences, King’s College London, London, United Kingdom
- * E-mail: (DA); (AD)
| | - Alex Dregan
- Department of Psychological Medicine, Institute of Psychiatry, Psychological and Neurosciences, King’s College London, London, United Kingdom
- * E-mail: (DA); (AD)
| | - Mark Ashworth
- School of Life Course and Population Sciences, King’s College London, London, United Kingdom
| | - Patrick White
- School of Life Course and Population Sciences, King’s College London, London, United Kingdom
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Antibiotic exposure and 'response failure' for subsequent respiratory tract infections: an observational cohort study of UK preschool children in primary care. Br J Gen Pract 2019; 69:e638-e646. [PMID: 31405831 PMCID: PMC6692084 DOI: 10.3399/bjgp19x705089] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 02/21/2019] [Indexed: 01/21/2023] Open
Abstract
Background Childhood antibiotic exposure has important clinically relevant implications. These include disruption to the microbiome, antibiotic resistance, and clinical workload manifesting as treatment ‘failure’. Aim To examine the relationship between the number of antibiotic courses prescribed to preschool children for acute respiratory tract infections (RTI), in the preceding year, and subsequent RTIs that failed to respond to antibiotic treatment (‘response failures’). Design and setting A cohort study using UK primary care data from the Clinical Practice Research Datalink, 2009 to 2016. Method Children aged 12 to 60 months (1 to 5 years) who were prescribed an antibiotic for an acute RTI (upper and lower RTI or otitis media) were included. One random index antibiotic course for RTI per child was selected. Exposure was the number of antibiotic prescriptions for acute RTI up to 12 months before the index antibiotic prescription. The outcome was ‘response failure’ up to 14 days after index antibiotic prescription, defined as: subsequent antibiotic prescription; referral; hospital admission; death; or emergency department attendance within 3 days. The authors used logistic regression models to estimate the odds between antibiotic exposure and response failure. Results Out of 114 329 children who were prescribed an antibiotic course for acute RTI, children who received ≥2 antibiotic courses for acute RTIs in the preceding year had greater odds of response failure; one antibiotic course: adjusted odds ratio (OR) 1.03 (95% confidence interval [CI] = 0.88 to 1.21), P = 0.67, n = 230 children; ≥2 antibiotic courses: adjusted OR 1.32 (CI = 1.04 to 1.66), P = 0.02, n = 97. Conclusion Childhood antibiotic exposure for acute RTI may be a good predictor for subsequent response failure (but not necessarily because of antibiotic treatment failure). Further research is needed to improve understanding of the mechanisms underlying response failure.
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Malik U, Armstrong D, Ashworth M, Dregan A, L'Esperance V, McDonnell L, Molokhia M, White P. Association between prior antibiotic therapy and subsequent risk of community-acquired infections: a systematic review. J Antimicrob Chemother 2019; 73:287-296. [PMID: 29149266 DOI: 10.1093/jac/dkx374] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Accepted: 09/12/2017] [Indexed: 12/29/2022] Open
Abstract
Background Antibiotic use can have negative unintended consequences including disruption of the human microbiota, which is thought to protect against pathogen overgrowth. We conducted a systematic review to assess whether there is an association between exposure to antibiotics and subsequent risk of community-acquired infections. Methods We searched MEDLINE, EMBASE and Web of Science for studies published before 30 June 2017, examining the association between antibiotic use and subsequent community-acquired infection. Infections caused by Clostridium difficile and fungal organisms were excluded. Studies focusing exclusively on resistant organism infections were also excluded. Results Eighteen of 22588 retrieved studies met the inclusion criteria. From these, 16 studies reported a statistically significant association between antibiotic exposure and subsequent risk of community-acquired infection. Infections associated with prior antibiotic use included Campylobacter jejuni infection (one study), recurrent furunculosis (one study), invasive Haemophilus influenzae type b infection (one study), infectious mastitis (one study), meningitis (one study), invasive pneumococcal disease (one study), Staphylococcus aureus skin infection (one study), typhoid fever (two studies), recurrent boils and abscesses (one study), upper respiratory tract infection and urinary tract infection (one study) and Salmonella infection (five studies), although in three studies on Salmonella infection the effect was of marginal statistical significance. Conclusions We found an association between prior antibiotic use and subsequent risk of a diverse range of community-acquired infections. Gastrointestinal and skin and soft tissue infections were most frequently found to be associated with prior antibiotic exposure. Our findings support the hypothesis that antibiotic use may predispose to future infection risk, including infections caused by both antibiotic-resistant and non-resistant organisms.
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Affiliation(s)
- Umer Malik
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - David Armstrong
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - Mark Ashworth
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - Alex Dregan
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - Veline L'Esperance
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - Lucy McDonnell
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - Mariam Molokhia
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
| | - Patrick White
- Department of Primary Care and Public Health Sciences, King's College London, Addison House, Guy's Campus, London SE1 1UL, UK
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Khilnani, GC, Zirpe, K, Hadda, V, Mehta, Y, Madan, K, Kulkarni, A, Mohan, A, Dixit, S, Guleria, R, Bhattacharya, P. Guidelines for Antibiotic Prescription in Intensive Care Unit. Indian J Crit Care Med 2019; 23:S1-S63. [PMID: 31516211 PMCID: PMC6734471 DOI: 10.5005/jp-journals-10071-23101] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
How to cite this article: Khilnani GC, Zirpe K, Hadda V, Mehta Y, Madan K, Kulkarni A, Mohan A, Dixit S, Guleria R, Bhattacharya P. Guidelines for Antibiotic Prescription in Intensive Care Unit. Indian Journal of Critical Care Medicine 2019;23 (Suppl 1):1-63.
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Affiliation(s)
- GC Khilnani,
- Department of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India
| | - Kapil Zirpe,
- Neuro-Trauma Unit, Grant Medical Foundation, Ruby Hall Clinic, Pune, Maharashtra, India
| | - Vijay Hadda,
- Department of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India
| | - Yatin Mehta,
- Indian Society of Critical Care Medicine, Medanta Institute of Critical Care and Anesthesiology, Gurugram, Haryana, India
| | - Karan Madan,
- Department of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India
| | - Atul Kulkarni,
- Department of Anaesthesiology, Division of Critical Care Medicine, Critical Care and Pain, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Anant Mohan,
- Department of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India
| | - Subhal Dixit,
- Sanjeevan and MJM Hospital, Pune, Maharashtra, India
| | - Randeep Guleria,
- Department of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India
| | - Pradeep Bhattacharya,
- Department of Anaesthesiology, Critical Care and Emergency Services, Bhopal, Madhya Pradesh, India
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