A Predictive Model for 30-Day Mortality of Fungemia in ICUs

References

• Orsetti E, Brescini L, Mazzanti S, et al. Characterisation of candidemia in patients with recent surgery: a 7-year experience. Mycoses. 2019;62(11):1056–1063. doi:10.1111/myc.12988
   Web of Science ®Google Scholar
• Cuenca-Estrella M, Verweij PE, Arendrup MC, et al. ESCMID* guideline for the diagnosis and management of Candida diseases 2012: diagnostic procedures. Clin Microbiol Infect. 2012;18(Suppl 7):9–18. doi:10.1111/1469-0691.12038
   PubMed Web of Science ®Google Scholar
• Devrim I, Yaman Y, Demirağ B, et al. A single center’s experience with Candida parapsilosis related long-term central venous access device infections: the port removal decision and its outcomes. Pediatr Hematol Oncol. 2014;31(5):435–441. doi:10.3109/08880018.2013.862587
   PubMed Web of Science ®Google Scholar
• Goemaere B, Becker P, Van Wijngaerden E, et al. Increasing candidaemia incidence from 2004 to 2015 with a shift in epidemiology in patients preexposed to antifungals. Mycoses. 2018;61(2):127–133. doi:10.1111/myc.12714
   PubMed Web of Science ®Google Scholar
• Wisplinghoff H, Bischoff T, Tallent SM, et al. Nosocomial bloodstream infections in US hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study. Clin Infect Dis. 2004;39(3):309–317. doi:10.1086/421946
   PubMed Web of Science ®Google Scholar
• Koehler P, Stecher M, Cornely OA, et al. Morbidity and mortality of candidaemia in Europe: an epidemiologic meta-analysis. Clin Microbiol Infect. 2019;25(10):1200–1212. doi:10.1016/j.cmi.2019.04.024
   PubMed Web of Science ®Google Scholar
• Chen M, Xu Y, Hong N, et al. Epidemiology of fungal infections in China. Front Med. 2018;12(1):58–75. doi:10.1007/s11684-017-0601-0
   PubMed Web of Science ®Google Scholar
• Xie P, Wang W, Dong M. Long-term mortality predictors of ICU fungaemia. Epidemiol Infect. 2021;149:e241. doi:10.1017/s0950268821002235
   Web of Science ®Google Scholar
• Hassan I, Powell G, Sidhu M, et al. Excess mortality, length of stay and cost attributable to candidaemia. J Infect. 2009;59(5):360–365. doi:10.1016/j.jinf.2009.08.020
   Web of Science ®Google Scholar
• Özenci V, Klingspor L, Ullberg M, et al. Estimated burden of fungal infections in Sweden. Mycoses. 2019;62(11):1043–1048. doi:10.1111/myc.12981
   Web of Science ®Google Scholar
• He AJ. The doctor-patient relationship, defensive medicine and overprescription in Chinese public hospitals: evidence from a cross-sectional survey in Shenzhen city. Soc Sci Med. 2014;123:64–71. doi:10.1016/j.socscimed.2014.10.055
   PubMed Web of Science ®Google Scholar
• Wang K, Hsueh K, Kronen R, et al. Creation and assessment of a clinical predictive model for candidaemia in patients with candiduria. Mycoses. 2019;62(7):554–561. doi:10.1111/myc.12917
   PubMed Web of Science ®Google Scholar
• Atamna A, Eliakim-Raz N, Mohana J, et al. Predicting candidemia in the internal medicine wards: a comparison with gram-negative bacteremia-a retrospectives study. Diagn Microbiol Infect Dis. 2019;95(1):80–83. doi:10.1016/j.diagmicrobio.2019.04.007
   PubMed Web of Science ®Google Scholar
• Johnson AE, Pollard TJ, Shen L, et al. MIMIC-III, a freely accessible critical care database. Scientific Data. 2016;3:160035. doi:10.1038/sdata.2016.35
   PubMed Web of Science ®Google Scholar
• Wang W, Fang H, Xie P, et al. Create a predictive model for neurogenic bladder patients: upper urinary tract damage predictive nomogram. Int J Neurosci. 2019;129(12):1240–1246. doi:10.1080/00207454.2019.1655016
   PubMed Web of Science ®Google Scholar
• Vickers AJ, Cronin AM, Elkin EB, et al. Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers. BMC Med Inform Decis Mak. 2008;8:53. doi:10.1186/1472-6947-8-53
   PubMed Web of Science ®Google Scholar
• Dongmo Fotsing LN, Bajaj T. Caspofungin. In: StatPearls. Treasure Island (FL): StatPearls Publishing StatPearls Publishing LLC; 2020.
   Google Scholar
• Wagner KH, Cameron-Smith D, Wessner B, et al. Biomarkers of aging: from function to molecular biology. Nutrients. 2016;8(6):338. doi:10.3390/nu8060338
   PubMed Web of Science ®Google Scholar
• Labat-Robert J, Robert L. Longevity and aging. Mechanisms and perspectives. Pathologie-Biologie. 2015;63(6):272–276. doi:10.1016/j.patbio.2015.08.001
   PubMedGoogle Scholar
• Zhang X, Jin F, Lu Y, et al. Clinical characteristics and risk factors for in-hospital mortality in 240 cases of infective endocarditis in a tertiary hospital in China: a Retrospective Study. Infect Drug Resist. 2022;15:3179–3189. doi:10.2147/IDR.S362601
   Web of Science ®Google Scholar
• Ishigami J, Matsushita K. Clinical epidemiology of infectious disease among patients with chronic kidney disease. Clin Exp Nephrol. 2019;23(4):437–447. doi:10.1007/s10157-018-1641-8
   PubMed Web of Science ®Google Scholar
• Syed-Ahmed M, Narayanan M. Immune dysfunction and risk of infection in chronic kidney disease. Adv Chronic Kidney Dis. 2019;26(1):8–15. doi:10.1053/j.ackd.2019.01.004
   PubMed Web of Science ®Google Scholar
• Oray M, Abu Samra K, Ebrahimiadib N, et al. Long-term side effects of glucocorticoids. Expert Opin Drug Saf. 2016;15(4):457–465. doi:10.1517/14740338.2016.1140743
   PubMed Web of Science ®Google Scholar
• Blyth W, Stewart GE. Systemic candidiasis in mice treated with prednisolone and amphotericin B. 1. Morbidity, mortality and inflammatory reaction. Mycopathologia. 1978;66(1–2):41–50. doi:10.1007/bf00429592
   Web of Science ®Google Scholar
• Bahardoust M, Heiat M, Khodabandeh M, et al. Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran. Sci Rep. 2021;11(1):3066. doi:10.1038/s41598-021-82721-3
   Web of Science ®Google Scholar
• Yan J, Li S, Li S. The role of the liver in sepsis. Int Rev Immunol. 2014;33(6):498–510. doi:10.3109/08830185.2014.889129
   PubMed Web of Science ®Google Scholar
• Poissy J, Damonti L, Bignon A, et al. Risk factors for candidemia: a prospective matched case-control study. Critical Care. 2020;24(1):109. doi:10.1186/s13054-020-2766-1
   PubMed Web of Science ®Google Scholar
• Lionakis MS, Kontoyiannis DP. Glucocorticoids and invasive fungal infections. Lancet. 2003;362(9398):1828–1838. doi:10.1016/s0140-6736(03)14904-5
   PubMed Web of Science ®Google Scholar
• Yang R, Yu Y. Glucocorticoids are double-edged sword in the treatment of COVID-19 and cancers. Int J Biol Sci. 2021;17(6):1530–1537. doi:10.7150/ijbs.58695
   PubMed Web of Science ®Google Scholar
• Anunnatsiri S, Chetchotisakd P, Mootsikapun P. Fungemia in non-HIV-infected patients: a five-year review. Int J Infect Dis. 2009;13(1):90–96. doi:10.1016/j.ijid.2008.04.009
   Web of Science ®Google Scholar
• Xiao Z, Wang Q, Zhu F, et al. Epidemiology, species distribution, antifungal susceptibility and mortality risk factors of candidemia among critically ill patients: a retrospective study from 2011 to 2017 in a teaching hospital in China. Antimicrob Resist Infect Control. 2019;8:89. doi:10.1186/s13756-019-0534-2
   PubMed Web of Science ®Google Scholar
• Garnacho-Montero J, Díaz-Martín A, Cantón-Bulnes L, et al. Initial antifungal strategy reduces mortality in critically Ill patients with candidemia: a propensity score-adjusted analysis of a multicenter study. Crit Care Med. 2018;46(3):384–393. doi:10.1097/ccm.0000000000002867
   Web of Science ®Google Scholar
• Barthel P, Wensel R, Bauer A, et al. Respiratory rate predicts outcome after acute myocardial infarction: a prospective cohort study. Eur Heart J. 2013;34(22):1644–1650. doi:10.1093/eurheartj/ehs420
   PubMed Web of Science ®Google Scholar
• Fawzy A, Anderson JA, Cowans NJ, et al. Association of platelet count with all-cause mortality and risk of cardiovascular and respiratory morbidity in stable COPD. Respir Res. 2019;20(1):86. doi:10.1186/s12931-019-1059-1
   PubMed Web of Science ®Google Scholar
• Zhang J, Du HM, Cheng MX, et al. Role of international normalized ratio in nonpulmonary sepsis screening: an observational study. World J Clin Cases. 2021;9(25):7405–7416. doi:10.12998/wjcc.v9.i25.7405
   Web of Science ®Google Scholar