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BioMed Research International
Volume 2019, Article ID 2590563, 7 pages
https://doi.org/10.1155/2019/2590563
Research Article

Impact of Healthcare-Associated Infections on Length of Stay: A Study in 68 Hospitals in China

1Peking University First Hospital, Beijing 100034, China
2Shandong Provincial Hospital, Jinan 250021, China
3Guangdong General Hospital, Guangzhou 510008, China
4The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
5The First Hospital, Shanxi Medical University, Taiyuan 030001, China
6Xiangya Hospital, Central South University, Changsha 410008, China
7General Hospital of PLA, Beijing 100853, China
8The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
9Guizhou Provincial People’s Hospital, Guiyang 550002, China
10Jiangxi Provincial Children’s Hospital, Nanchang 330006, China
11Fourth Hospital of Hebei Medical University, Shijiazhuang 050019, China
12Jiangsu Province Hospital, Nanjing 210029, China
13Peking University People’s Hospital, Beijing 100044, China
14The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
15Inner Mongolia People’s Hospital, Hohhot 010017, China
16Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China

Correspondence should be addressed to Liuyi Li; ten.362@iyuilycul

Received 20 February 2019; Accepted 11 April 2019; Published 18 April 2019

Guest Editor: Yatao Liu

Copyright © 2019 Huixue Jia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Ohannessian, M. Gustin, T. Bénet et al., “Estimation of extra length of stay attributable to hospital-acquired infections in adult icus using a time-dependent multistate model*,” Critical Care Medicine, vol. 46, no. 7, pp. 1093–1098, 2018. View at Publisher · View at Google Scholar
  2. M. Karkhane, M. A. Pourhoseingholi, T. M. R. Akbariyan et al., “Annual antibiotic related economic burden of healthcare associated infections; a cross-sectional population based study,” Iranian Journal of Pharmaceutical Research, vol. 15, no. 2, pp. 605–610, 2016. View at Publisher · View at Google Scholar
  3. H. H. Al-Mousa, A. A. Omar, V. D. Rosenthal et al., “Device-associated infection rates, bacterial resistance, length of stay, and mortality in Kuwait: International Nosocomial Infection Consortium findings,” American Journal of Infection Control, vol. 44, no. 4, pp. 444–449, 2016. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Goudie, L. Dynan, P. W. Brady, and M. Rettiganti, “Attributable cost and length of stay for central line-associated bloodstream infections,” Pediatrics, vol. 133, no. 6, pp. e1525–e1532, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. S. E. Cosgrove, G. Sakoulas, E. N. Perencevich, M. J. Schwaber, A. W. Karchmer, and Y. Carmeli, “Comparison of mortality associated with methicillin-resistant and methicillin-susceptible Staphylococcus aureus bacteremia: a meta-analysis,” Clinical Infectious Diseases, vol. 36, no. 1, pp. 53–59, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. C. D. Salgado and B. M. Farr, “Outcomes associated with vancomycin-resistant enterococci: A meta-analysis,” Infection Control and Hospital Epidemiology, vol. 24, no. 9, pp. 690–698, 2003. View at Publisher · View at Google Scholar · View at Scopus
  7. C. A. DiazGranados, S. M. Zimmer, M. Klein, and J. A. Jernigan, “Comparison of mortality associated with vancomycin-resistant and vancomycin-susceptible enterococcal bloodstream infections: A meta-analysis,” Clinical Infectious Diseases, vol. 41, no. 3, pp. 327–333, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. D. Nathwani, G. Raman, K. Sulham et al., “Menon V. Clinical and economic consequences of hospital-acquired resistant and multidrug-resistant Pseudomonas aeruginosa infections: a systematic review and meta-analysis,” Antimicrobial Resistance and Infection Control, vol. 3, no. 1, p. 32, 2014. View at Google Scholar · View at Scopus
  9. Q. Liu, X. Li, W. Li et al., “Influence of carbapenem resistance on mortality of patients with Pseudomonas aeruginosa infection: a meta-analysis,” Scientific Reports, vol. 5, article 11715, 2015. View at Publisher · View at Google Scholar
  10. E. V. Lemos, F. P. de la Hoz, T. R. Einarson et al., “Carbapenem resistance and mortality in patients with Acinetobacter baumannii infection: Systematic review and meta-analysis,” Clinical Microbiology and Infection, vol. 20, no. 5, pp. 416–423, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. M. J. Schwaber and Y. Carmeli, “Mortality and delay in effective therapy associated with extended-spectrum beta-lactamase production in Enterobacteriaceae bacteraemia: a systematic review and meta-analysis,” Journal of Antimicrobial Chemotherapy, vol. 60, no. 5, pp. 913–920, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. K. Z. Vardakas, P. I. Rafailidis, A. A. Konstantelias, and M. E. Falagas, “Predictors of mortality in patients with infections due to multi-drug resistant Gram negative bacteria: The study, the patient, the bug or the drug?” Infection, vol. 66, no. 5, pp. 401–414, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. E. B. Hirsch and V. H. Tam, “Impact of multidrug-resistant Pseudomonas aeruginosa infection on patient outcomes,” Expert Review of Pharmacoeconomics & Outcomes Research, vol. 10, no. 4, pp. 441–451, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Gandra, D. M. Barter, and R. Laxminarayan, “Economic burden of antibiotic resistance: How much do we really know?” Clinical Microbiology and Infection, vol. 20, no. 10, pp. 973–979, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. Ministry of Health of China, The Nosocomial Infection Diagnostic Standard (Trial), 2001.
  16. S. Manoukian, S. Stewart, S. Dancer et al., “Estimating excess length of stay due to healthcare-associated infections: a systematic review and meta-analysis of statistical methodology,” Journal of Hospital Infection, vol. 100, no. 2, pp. 222–235, 2018. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Sun, S. Yu, M. Xing et al., “Evaluation of economic losses induced by hospital-acquired infections in a three a general hospital,” Chinese Journal of Nosocomiology, vol. 24, no. 21, pp. 5399–5401, 2014. View at Google Scholar
  18. C. Zhou, H. Chen, and M. Deng, “Study on direct economic loss induced by nosocomial infections in hospitalized patients of a three A hospital and control strategies,” Chinese Journal of Nosocomiology, vol. 24, no. 21, pp. 5396–5398, 2014. View at Google Scholar
  19. V. Rosenthal, N. Olarte, H. Torres-Hernandez, and W. Villamil-Gomez, “Catheter-Associated Blood Stream Infection Rates, Extra Length of Stay and Mortality in 69 Adult ICUs of 37 Cities of 11 Developing Countries. Findings of the INICC,” American Journal of Infection Control, vol. 35, no. 5, pp. E68–E69, 2007. View at Publisher · View at Google Scholar
  20. R. Salomao, V. Rosenthal, M. Maretti da Silva, M. Vilins, and S. Blecher, “The attributable cost, and length of hospital stay of central line associated blood stream infection in intensive care units in brazil. a prospective, matched analysis,” American Journal of Infection Control, vol. 34, no. 5, p. E22, 2006. View at Publisher · View at Google Scholar
  21. European Centre for Disease Prevention and Control, Antimicrobial resistance surveillance in Europe 2013. Annual report of the European Antimicrobial Resistance Surveillance Network (EARS-Net), ECDC (European Centre for Disease Prevention and Control), Stockholm, Sweden, 2014, http://ecdc.europa.eu/en/publications/Publications/antimicrobial-resistance-surveillance-europe-2013.pdf. View at Publisher · View at Google Scholar
  22. “Centers for disease control and prevention (CDC),” 2015, Antimicrobial resistance, http://www.cdc.gov/drugresistance/index.html. View at Publisher · View at Google Scholar
  23. European Centre for Disease Prevention and Control, “The bacterial challenge: time to react,” 2009, http://ecdc.europa.eu/en/publications/Publications/0909_TER_The_Bacterial_Challenge_Time_to_React.pdf.
  24. J. I. Barrasa-Villar, C. Aibar-Remón, P. Prieto-Andrés, R. Mareca-Doñate, and J. Moliner-Lahoz, “Impact on morbidity, mortality, and length of stay of hospital-acquired infections by resistant microorganisms,” Clinical Infectious Diseases, vol. 65, no. 4, pp. 644–652, 2017. View at Publisher · View at Google Scholar · View at Scopus
  25. M.-L. Lambert, C. Suetens, A. Savey et al., “Clinical outcomes of health-care-associated infections and antimicrobial resistance in patients admitted to European intensive-care units: a cohort study,” The Lancet Infectious Diseases, vol. 11, no. 1, pp. 30–38, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. D. Ben-David, I. Novikov, and L. A. Mermel, “Are there differences in hospital cost between patients with nosocomial methicillin-resistant staphylococcus aureus bloodstream infection and those with methicillin-susceptible S. aureus bloodstream infection?” Infection Control and Hospital Epidemiology, vol. 30, no. 5, pp. 453–460, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. S. E. Cosgrove, “The relationship between antimicrobial resistance and patient outcomes: Mortality, length of hospital stay, and health care costs,” Clinical Infectious Diseases, vol. 42, no. 2, pp. S82–S89, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. R. R. Roberts, R. D. Scott, B. Hota et al., “Costs attributable to healthcare-acquired infection in hospitalized adults and a comparison of economic methods,” Medical Care, vol. 48, no. 11, pp. 1026–1035, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. Y. Yang, Analysis of Influencing Factors and Correlation Study on Average Hospitalization Days in Hospitals, Second military Medical University, 2009.
  30. B. G. Mitchell, A. Gardner, A. G. Barnett, J. E. Hiller, and N. Graves, “The prolongation of length of stay because of Clostridium difficile infection,” American Journal of Infection Control, vol. 42, no. 2, pp. 164–167, 2014. View at Publisher · View at Google Scholar · View at Scopus
  31. E. Shaw, A. Gomila, M. Piriz et al., “Multistate modelling to estimate excess length of stay and risk of death associated with organ/space infection after elective colorectal surgery,” Journal of Hospital Infection, vol. 100, no. 4, pp. 400–405, 2018. View at Publisher · View at Google Scholar
  32. M. L. Kilgore, K. Ghosh, C. M. Beavers, D. Y. Wong, P. A. Hymel Jr., and S. E. Brossette, “The costs of nosocomial infections,” Medical Care, vol. 46, no. 1, pp. 101–104, 2008. View at Publisher · View at Google Scholar · View at Scopus
  33. Y. Carmeli, G. Eliopoulos, E. Mozaffari, and M. Samore, “Health and economic outcomes of vancomycin-resistant enterococci,” JAMA Internal Medicine, vol. 162, no. 19, pp. 2223–2228, 2002. View at Publisher · View at Google Scholar · View at Scopus
  34. N. Graves, D. Weinhold, and J. A. Roberts, “Correcting for bias when estimating the cost of hospital-acquired infection: An analysis of lower respiratory tract infections in non-surgical patients,” Health Economics, vol. 14, no. 7, pp. 755–761, 2005. View at Publisher · View at Google Scholar · View at Scopus
  35. R. E. Nelson, S. D. Nelson, K. Khader et al., “The magnitude of time-dependent bias in the estimation of excess length of stay attributable to healthcare-associated infections,” Infection Control & Hospital Epidemiology, vol. 36, no. 09, pp. 1089–1094, 2015. View at Publisher · View at Google Scholar
  36. J. Beyersmann, P. Gastmeier, M. Wolkewitz, and M. Schumacher, “An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation,” Journal of Clinical Epidemiology, vol. 61, no. 12, pp. 1216–1221, 2008. View at Publisher · View at Google Scholar · View at Scopus