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Surveillance of Healthcare-Associated Bloodstream and Urinary Tract Infections in a National Level Network of Indian Hospitals
- Purva Mathur, Paul Malpiedi, Kamini Walia, Rajesh Malhotra, Padmini Srikantiah, Omika Katoch, Sonal Katyal, Surbhi Khurana, Mahesh Chandra Misra, Sunil Gupta, Subodh Kumar, Sushma Sagar, Naveet Vig, Pramod Garg, Arti Kapil, Manoj Sahu, Arunaloke Chakrabarti, Pallab Ray, Manisha Biswal, Neelam Taneja, Priscilla Rupali, Vellore Binila Chacko, Joy Sarojini Michael, Veeraraghavan Balaji, Camilla Rodrigues, Vijaya Lakshmi Nag, Vibhor Tak, Vimala Venkatesh, Chiranjay Mukhopadhyay, KE Vandana, Muralidhar Varma, Vijayshri Deotale, Ruchita Attal, Kanne Padmaja, Chand Wattal, Neeraj Goel, Sanjay Bhattacharya, Tadepalli Karuna, Saurabh Saigal, Bijayini Behera, Sanjeev Singh, MA Thirunarayan, Reema Nath, Raja Ray, Sujata Baveja, Mammen Chandy, Sudipta Mukherjee, Manas Roy, Gaurav Goel, Swagata Tripathy, Satyajeet Misra, Anupam Dey, Tushar Mishra, Hirak Raj, Bashir Fomda, Gulnaz Bashir, Shaista Nazir, Sulochana Devi, Khuraijam Ranjana Devi, Langpoklakpam Chaoba Singh, Padma Das, Anudita Bhargava, Ujjwala Gaikwad, Neeta Khandelwal, Geeta Vaghela, Tanvi Sukharamwala, Prachi Verma, Mamta Lamba, Shristi Jain, Prithwis Bhattacharyya, Anil Phukan, Clarissa Lyngdoh, Rajeev Sharma, Rajni Gaind, Rushika Saksena, Lata Kapoor, Neil Gupta, Aditya Sharma, Daniel VanderEnde, Anoop Velayudhan, Valan Siromany, Kayla Laserson, Randeep Guleria
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 41 / Issue S1 / October 2020
- Published online by Cambridge University Press:
- 02 November 2020, pp. s398-s399
- Print publication:
- October 2020
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Background: Healthcare-associated infections (HAIs) are a major global threat to patient safety. Systematic surveillance is crucial for understanding HAI rates and antimicrobial resistance trends and to guide infection prevention and control (IPC) activities based on local epidemiology. In India, no standardized national HAI surveillance system was in place before 2017. Methods: Public and private hospitals from across 21 states in India were recruited to participate in an HAI surveillance network. Baseline assessments followed by trainings ensured that basic microbiology and IPC implementation capacity existed at all sites. Standardized surveillance protocols for central-line–associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) were modified from the NHSN for the Indian context. IPC nurses were trained to implement surveillance protocols. Data were reported through a locally developed web portal. Standardized external data quality checks were performed to assure data quality. Results: Between May 2017 and April 2019, 109 ICUs from 37 hospitals (29 public and 8 private) enrolled in the network, of which 33 were teaching hospitals with >500 beds. The network recorded 679,109 patient days, 212,081 central-line days, and 387,092 urinary catheter days. Overall, 4,301 bloodstream infection (BSI) events and 1,402 urinary tract infection (UTI) events were reported. The network CLABSI rate was 9.4 per 1,000 central-line days and the CAUTI rate was 3.4 per 1,000 catheter days. The central-line utilization ratio was 0.31 and the urinary catheter utilization ratio was 0.57. Moreover, 3,542 (73%) of 4,742 pathogens reported from BSIs and 868 (53%) of 1,644 pathogens reported from UTIs were gram negative. Also, 1,680 (26.3%) of all 6,386 pathogens reported were Enterobacteriaceae. Of 1,486 Enterobacteriaceae with complete antibiotic susceptibility testing data reported, 832 (57%) were carbapenem resistant. Of 951 Enterobacteriaceae subjected to colistin broth microdilution testing, 62 (7%) were colistin resistant. The surveillance platform identified 2 separate hospital-level HAI outbreaks; one caused by colistin-resistant K. pneumoniae and another due to Burkholderia cepacia. Phased expansion of surveillance to additional hospitals continues. Conclusions: HAI surveillance was successfully implemented across a national network of diverse hospitals using modified NHSN protocols. Surveillance data are being used to understand HAI burden and trends at the facility and national levels, to inform public policy, and to direct efforts to implement effective hospital IPC activities. This network approach to HAI surveillance may provide lessons to other countries or contexts with limited surveillance capacity.
Funding: None
Disclosures: None
Multiple importations and transmission of colistin-resistant Klebsiella pneumoniae in a hospital in northern India
- Purva Mathur, Surbhi Khurana, Tom J.B. de Man, Neha Rastogi, Omika Katoch, Balaji Veeraraghavan, Ayyan Raj Neeravi, Manigandan Venkatesan, Subodh Kumar, Sushma Sagar, Amit Gupta, Richa Aggarwal, Kapil Dev Soni, Rajesh Malhotra, Anoop Velayudhan, Valan Siromany, Paul Malpiedi, Joseph Lutgring, Kayla Laserson, Neil Gupta, Padmini Srikantiah, Aditya Sharma
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 40 / Issue 12 / December 2019
- Published online by Cambridge University Press:
- 18 October 2019, pp. 1387-1393
- Print publication:
- December 2019
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Objective:
Resistance to colistin, a last resort antibiotic, has emerged in India. We investigated colistin-resistant Klebsiella pneumoniae(ColR-KP) in a hospital in India to describe infections, characterize resistance of isolates, compare concordance of detection methods, and identify transmission events.
Design:Retrospective observational study.
Methods:Case-patients were defined as individuals from whom ColR-KP was isolated from a clinical specimen between January 2016 and October 2017. Isolates resistant to colistin by Vitek 2 were confirmed by broth microdilution (BMD). Isolates underwent colistin susceptibility testing by disk diffusion and whole-genome sequencing. Medical records were reviewed.
Results:Of 846 K. pneumoniae isolates, 34 (4%) were colistin resistant. In total, 22 case-patients were identified. Most (90%) were male; their median age was 33 years. Half were transferred from another hospital; 45% died. Case-patients were admitted for a median of 14 days before detection of ColR-KP. Also, 7 case-patients (32%) received colistin before detection of ColR-KP. All isolates were resistant to carbapenems and susceptible to tigecycline. Isolates resistant to colistin by Vitek 2 were also resistant by BMD; 2 ColR-KP isolates were resistant by disk diffusion. Moreover, 8 multilocus sequence types were identified. Isolates were negative for mobile colistin resistance (mcr) genes. Based on sequencing analysis, in-hospital transmission may have occurred with 8 case-patients (38%).
Conclusions:Multiple infections caused by highly resistant, mcr-negative ColR-KP with substantial mortality were identified. Disk diffusion correlated poorly with Vitek 2 and BMD for detection of ColR-KP. Sequencing indicated multiple importation and in-hospital transmission events. Enhanced detection for ColR-KP may be warranted in India.
Post-Flood Rapid Needs Assessment in Srinagar City, Jammu and Kashmir State, India, September, 2014
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- Rajesh Yadav, Dundaiah Somashekar, Samir V. Sodha, Kayla F. Laserson, Srinivasa Venkatesh, Himanshu Chauhan
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- Journal:
- Disaster Medicine and Public Health Preparedness / Volume 13 / Issue 2 / April 2019
- Published online by Cambridge University Press:
- 21 March 2018, pp. 133-137
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Objectives
Torrential rainfall and flooding from September 2-6, 2014 submerged >350 villages in Jammu and Kashmir state. We conducted rapid needs assessment in capital Srinagar from 27 September to 1 October to assess population health and safety needs.
MethodsBased on Community Assessment for Public Health Emergency Response (CASPER) methodology, we selected 7 households each from 30 census blocks using 2-stage cluster sampling. We collected information on demographics, needs, and illnesses using structured questionnaire.
ResultsOf the 210 households surveyed, an estimated 57% (CI: 41%-73%) reported significant damage, 50% (CI: 36%-63%) were evacuated, and 16% (CI: 10%-22%) reported injuries. Households lacked electricity (22%; CI: 8.8%-36%), tap water (13%; CI: 5%-21%), working toilets (11%; CI: 4%-19%), and adequate food supply (14%; CI: 8%-20%). Moreover, 55% (CI: 45%-64%) of households reported cough, cold, fever, rashes, or diarrhea; 68% (CI: 59%-77%) experienced agitation, anxiety, depression, or nightmares since the flooding. Of the households with a member on medicines for non-communicable diseases, 40% did not have a week’s supply. Restoring basic essentials (30%; CI: 22%-37%) and repairing houses (30%; CI: 19%-40%) were the most urgent needs expressed.
ConclusionsFloods damaged >1/2 of households in Srinagar, disrupting basic essentials, and causing mental trauma. These findings helped authorities prioritize assistance with psychological symptoms and availability of prescription medicines. (Disaster Med Public Health Preparedness. 2019;13:133–137)