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1014


Chelsea Elizabeth Muennichow et al


Table 1. Patient Profiles: Bloodstream Infections, Length of Hospital Stay, and Hospital Cost from April 2015 to March 2016 LOS,


Cause of BSI


Gram-negative bacilli


Gram-positive cocci


Candida spp


No. of BSIs


No. of Patients


113 69 53 43 2 2


Neutrophil Count During BSI, median cells/µL (range)


median d (range)


33 (0–50,730) 22 (3–55) 136 (4–23,700) 23 (5–47) 220 (30–410) 32 (12–51)


ICU Admission, no./total (%)


23/69 (33.3) 8/43 (18.6) 0/2 (0) NOTE. BSI, bloodstream infection; LOS, length of hospital stay; ICU, intensive care unit; Rs, rupees. The infection prevention and control measures introduced in


our hospital to mitigate the problem of infection in patients with acute leukemia have included numerous interventions: (1) sur- veillance culture for detection of MDR bacteria in stool samples and throat swabs, (2) use of direct susceptibility tests on positive blood cultures for early detection of resistant organisms, (3) use of polymerase chain reaction–based rapid detection of carbapenem- resistant genes, (4) early empirical therapy with polymyxin based treatment regimens in those previously infected or colonized with carbapenem-resistant multidrug-resistant gram-negative bacteria (MDR-GNB), and (5) accreditation of our infection control sys- tems (NABH Safe I: National Accreditation Board for Hospitals and Healthcare providers). Cost of health care, length of hospital stay, and deaths from infections are affected by many factors, such as human resources, technology, clinical care strategies, which we wish to explore in future controlled studies.


Acknowledgments. We would like to thank the Tata Medical Center Trust, India, for supporting the Tata Social Internship program.


Financial support. No external financial support was provided relevant to this article.


Potential conflicts of interest. All authors report no conflicts of interest relevant to this article.


References


1. Devereux S, Goel G, Sengupta K, Bhattacharya S. Bloodstream infections as a predictor of length of hospital stay and cost of care in patients with cancer. J Acad Clin Microbiol 2017;19:118–120.


2. Bhattacharya S, Goel G, Mukherjee S, Bhaumik J, Chandy M. Epidemiology of antimicrobial resistance in an oncology center in eastern India. Infect Control Hosp Epidemiol 2015;36:864–866.


3. Roychowdhury M, Kumar J, Chakrapani A, et al.Low incidenceof central venous catheter-related bloodstream infections in stem cell transplant patients in eastern India despite high community burden of multidrug-resistant pathogens. Infect Control Hosp Epidemiol 2016;37:619–620.


4. Chandy M, Das A, Bhattacharyya A, et al. Colistin-resistant Klebsiella infections among pediatric oncology and hematopoietic stem cell transplantation patients in eastern India. Infect Control Hosp Epidemiol 2018;39:118–121.


5. Goel G, Hmar L, Sarkar De M, Bhattacharya S, Chandy M. Colistin- resistant Klebsiella pneumoniae: report of a cluster of 24 cases from a new oncology center in eastern India. Infect Control Hosp Epidemiol 2014;35:1076–1077.


6. Exner M, Bhattacharya S, Christiansen B, et al. Antibiotic resistance: What is so special about multidrug-resistant gram-negative bacteria? GMS Hyg Infect Control 2017;12:1–24.


7. Schilling MB, Parks C, Deeter RG. Costs and outcomes associated with hospitalized cancer patients with neutropenic complications: a retrospective study. Exp Ther Med 2011;2:859–866.


8. Jaime-Pérez JC, Fernández LT, Jiménez-Castillo RA, et al. Hospitalization rate and costs in acute lymphoblastic leukemia of childhood in a low- income group: financial impact in Northeast Mexico. Pediatr Blood Cancer 2017;64:10.


9. Kothari A, Sagar V, Ahluwalia V, Pillai BS, Madan M. Costs associated with hospital-acquired bacteraemia in an Indian hospital: a case- control study. J Hosp Infect 2009;71:143–148.


10. Singh S, Kumar RK, Sundaram KR, Kanjilal B, Nair P. Improving outcomes and reducing costs by modular training in infection control in a resource-limited setting. Int J Qual Health Care 2012;24:641–648.


All-Cause (Crude) Mortality at Day 30 from BSI, no./total (%)


14/69 (20.3) 7/43 (16.3) 0 (0)


Attributable Mortality at Day 30 from BSI, no./total (%)


11/69 (15.9) 1/43 (2.3) 0/2 (0)


Total Hospital Bill During the Admission Episode, median cost (range)


US$4,945 (267–62,910) Rs. 321,433 (17,358– 408,918)


US$4,163 (367–42,317) Rs. 270,607 (23,870– 2,750,653)


US$12,232 (4,116–20,349) Rs. 795,134 (267,560– 1,322,708)


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