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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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Temporal change of risk factors in hospital-acquired Clostridioides difficile infection using time-trend analysis. Infect Control Hosp Epidemiol 2020; 41:1048-1057. [PMID: 32468975 DOI: 10.1017/ice.2020.206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Given recent changes in the epidemiology of Clostridioides difficile infection (CDI) and prevention efforts, we investigated temporal changes over a period of 11 years (2006-2016) in incidence and risk factors for CDI. DESIGN Retrospective matched case-control study. SETTING/PATIENTS Pediatric and adult inpatients (n = 694,849) discharged from 3 hospitals (tertiary and quaternary care, community, and pediatric) in a large, academic health center in New York City. METHODS Risk factors were identified in cases and controls matched by length of stay at a ratio of 1:4. A Cochran-Armitage or Mann-Kendall test was used to investigate trends of incidence and risk factors. RESULTS Of 694,849 inpatients, 6,038 (0.87%) had CDI: 44% of these cases were hospital acquired (HA-CDI) and 56% were community acquired (CA-CDI). We observed temporal downward trends in HA-CDI (-0.03% per year) and upward trends in CA-CDI (+0.04% per year). Over time, antibiotics were administered to more patients (+3% per year); the use of high-risk antibiotics declined (-1.2% per year); and antibiotic duration increased in patients with HA-CDI (+4.4% per year). Fewer proton-pump inhibitors and more histamine-2 blockers were used (-3.8% and +7.3% per year, respectively; all Ptrend <.05). CONCLUSIONS Although the incidence of HA-CDI decreased over time, CA-CDI simultaneously increased. Continued efforts to assure judicious use of antibiotics in inpatient and community settings is clearly vital. Measuring the actual the level of exposure of an antibiotic (incidence density) should be used for ongoing surveillance and assessment.
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Pereira JB, Farragher TM, Tully MP, Jonathan Cooke J. Association between Clostridium difficile infection and antimicrobial usage in a large group of English hospitals. Br J Clin Pharmacol 2015; 77:896-903. [PMID: 24868578 DOI: 10.1111/bcp.12255] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
AIMS This study aimed to determine the association between the reduction in the number of Clostridium difficile infection (CDI) cases reported by the English National Health Service (NHS) hospitals and concurrent antimicrobial use. METHODS A retrospective ecological study for January 2005 to December 2008 was conducted using data from 26 of the 29 NHS trusts (i.e. a trust manages one or more hospitals) located in the North West Strategic Health Authority of England. Antimicrobial use data, for patients of all ages, were provided by IMS Health, and CDI case data for patients aged ≥65 years were provided by the Health Protection Agency. Antimicrobial use was converted into defined daily doses (DDDs). The overall association between antimicrobial use and CDI for the trusts was investigated using multilevel models. RESULTS Our study shows a positive significant association between the CDI cases and the use of the following antimicrobials: ‘third-generation cephalosporins’ [11.62 CDI cases per 1000 DDDs; 95% confidence interval (CI), 5.92–17.31]; ‘fluoroquinolones’ (4.79 CDI cases per 1000 DDDs; 95% CI, 2.83–6.74); and ‘second-generation cephalosporins’ (4.25 CDI cases per 1000 DDDs; 95% CI, 1.66–6.83). The strength of this association was not significantly different (95% CI) among the antimicrobial groups. CONCLUSIONS This study shows that the reduction in the number of CDI cases reported by the English NHS hospitals is associated with concurrent reductions in antimicrobial use. This means that the number of CDI cases over time decreased in a similar fashion to the usage of various antimicrobials.
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Novell MJ, Morreale CA. The Relationship between Inpatient Fluoroquinolone Use and Clostridium difficile-Associated Diarrhea. Ann Pharmacother 2010; 44:826-31. [DOI: 10.1345/aph.1m696] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND: Limited evidence suggests there may be a link between fluoroquinolone use and Clostridium difficile-associated diarrhea (CDAD), but such an association remains unclear due to conflicting data. OBJECTIVE: To determine the relationship between inpatient fluoroquinolone use and CDAD; secondary objectives included the relationship between CDAD and fluoroquinolone selection, duration of therapy, and route of administration, as well as the association between fluoroquinolones and CDAD complications. METHODS: We conducted a retrospective, case-control study of adult inpatients diagnosed with CDAD during the period of July 2007-July 2008. In total, 174 case patients were matched on a 1:1 basis with controls. A thorough assessment of all inpatient antibiotic use was conducted, including regimens administered at our institution within the previous 8 weeks. Odds ratios were calculated using univariate logistic-regression analysis. RESULTS: Use of fluoroquinolones was not significantly different between patients with CDAD and matching controls (OR 1.36; 95% CI 0.09 to 2.10; p = 0.16). No relationship was found between CDAD and the individual fluoroquinolones: ciprofloxacin (OR 1.36; 95% CI 0.87 to 2.12; p = 0.18), levofloxacin (OR 1.17; 95% CI 0.62 to 2.22; p = 0.63), and moxifloxacin (OR 1.34; 95% CI 0.81 to 2.20; p = 0.25). Fluoroquinolone route of administration did not differ significantly between groups for patients receiving intravenous (OR 1.20; 95% CI 0.74 to 1.94; p = 0.46) or oral (OR 0.79; 95% CI 0.44 to 1.44; p = 0.45) therapy. Complications from CDAD were not significantly increased by fluoroquinolone use (OR 1.37; 95% CI 0.72 to 2.61; p = 0.35). CONCLUSIONS: Inpatient administration of fluoroquinolones was not associated with CDAD at our institution. Fluoroquinolone use in patients who developed CDAD was not related to higher incidences of CDAD-related complications.
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Affiliation(s)
- Marilyn J Novell
- Marilyn J Novell PharmD BCPS, at time of writing, PGY-2 Critical Care Pharmacy Resident, Department of Pharmacy, Charleston Area Medical Center, Charleston, SC; now, Assistant Clinical Professor of Pharmacy Practice, Auburn University, Auburn, AL
| | - Carol A Morreale
- Carol A Morreale PharmD BCPS, Department of Pharmacy, Charleston Area Medical Center
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