Neonatal Candidiasis: Epidemiology, Risk Factors, and Clinical Judgment

Author:

Benjamin Daniel K.1,Stoll Barbara J.2,Gantz Marie G.3,Walsh Michele C.4,Sánchez Pablo J.5,Das Abhik6,Shankaran Seetha7,Higgins Rosemary D.8,Auten Kathy J.1,Miller Nancy A.5,Walsh Thomas J.9,Laptook Abbot R.10,Carlo Waldemar A.11,Kennedy Kathleen A.12,Finer Neil N.13,Duara Shahnaz14,Schibler Kurt15,Chapman Rachel L.16,Van Meurs Krisa P.17,Frantz Ivan D.18,Phelps Dale L.19,Poindexter Brenda B.20,Bell Edward F.21,O'Shea T. Michael22,Watterberg Kristi L.23,Goldberg Ronald N.1,

Affiliation:

1. Department of Pediatrics, Duke University, Durham, North Carolina;

2. Department of Pediatrics, Emory University and Children's Healthcare of Atlanta, Atlanta, Georgia;

3. Statistics and Epidemiology Unit, RTI International, Research Triangle Park, North Carolina;

4. Department of Pediatrics, Rainbow Babies & Children's Hospital, Case Western Reserve University, Cleveland, Ohio;

5. Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas;

6. Statistics and Epidemiology Unit, RTI International, Rockville, Maryland;

7. Department of Pediatrics, Wayne State University, Detroit, Michigan;

8. Eunice Kennedy Shriver National Institute of Child Health and Human Development and

9. National Cancer Institute, National Institutes of Health, Bethesda, Maryland;

10. Department of Pediatrics, Women & Infants Hospital, Brown University, Providence, Rhode Island;

11. Department of Pediatrics, University of Alabama, Birmingham, Alabama;

12. Department of Pediatrics, University of Texas Medical School, Houston, Texas;

13. Department of Pediatrics, University of California, San Diego, California;

14. University of Miami Miller School of Medicine, Miami, Florida;

15. Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio;

16. Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut;

17. Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California;

18. Tufts Medical Center, Boston, Massachusetts;

19. University of Rochester School of Medicine and Dentistry, Rochester, New York;

20. Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana;

21. University of Iowa, Iowa City, Iowa;

22. Wake Forest University, Winston-Salem, North Carolina; and

23. University of New Mexico Health Science Center, Albuquerque, New Mexico

Abstract

OBJECTIVE: Invasive candidiasis is a leading cause of infection-related morbidity and mortality in extremely low birth weight (<1000-g) infants. We quantified risk factors that predict infection in premature infants at high risk and compared clinical judgment with a prediction model of invasive candidiasis. METHODS: The study involved a prospective observational cohort of infants ≤1000 g birth weight at 19 centers of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network. At each sepsis evaluation, clinical information was recorded, cultures were obtained, and clinicians prospectively recorded their estimate of the probability of invasive candidiasis. Two models were generated with invasive candidiasis as their outcome: (1) potentially modifiable risk factors; and (2) a clinical model at time of blood culture to predict candidiasis. RESULTS: Invasive candidiasis occurred in 137 of 1515 (9.0%) infants and was documented by positive culture from ≥1 of these sources: blood (n = 96); cerebrospinal fluid (n = 9); urine obtained by catheterization (n = 52); or other sterile body fluid (n = 10). Mortality rate was not different for infants who had positive blood culture compared with those with isolated positive urine culture. Incidence of candida varied from 2% to 28% at the 13 centers that enrolled ≥50 infants. Potentially modifiable risk factors included central catheter, broad-spectrum antibiotics (eg, third-generation cephalosporins), intravenous lipid emulsion, endotracheal tube, and antenatal antibiotics. The clinical prediction model had an area under the receiver operating characteristic curve of 0.79 and was superior to clinician judgment (0.70) in predicting subsequent invasive candidiasis. CONCLUSION: Previous antibiotics, presence of a central catheter or endotracheal tube, and center were strongly associated with invasive candidiasis. Modeling was more accurate in predicting invasive candidiasis than clinical judgment.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology, and Child Health

Cited by 289 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Urinary Tract Infections and Vesicoureteral Reflux;Avery's Diseases of the Newborn;2024

2. Infections of the Skin;Avery's Diseases of the Newborn;2024

3. Healthcare-Associated Infections;Avery's Diseases of the Newborn;2024

4. Invasive Fungal Infections in theNICU: Candida, Aspergillosis, and Mucormycosis;Principles of Neonatology;2024

5. Late-Onset Sepsis;Principles of Neonatology;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3