The Clinical Significance of Positive Blood Cultures: A Comprehensive Analysis of 500 Episodes of Bacteremia and Fungemia in Adults. I. Laboratory and Epidemiologic Observations

1983 ◽  
Vol 5 (1) ◽  
pp. 35-53 ◽  
Author(s):  
M. P. Weinstein ◽  
L. B. Reller ◽  
J. R. Murphy ◽  
K. A. Lichtenstein
2004 ◽  
Vol 44 (4) ◽  
pp. S125
Author(s):  
S.E. Beekmann ◽  
D.J. Diekema ◽  
E.W. Dickson ◽  
G.V. Doerm

1997 ◽  
Vol 24 (4) ◽  
pp. 584-602 ◽  
Author(s):  
Melvin P. Weinstein ◽  
Michael L. Towns ◽  
Seth M. Quartey ◽  
Stanley Mirrett ◽  
Larry G. Reimer ◽  
...  

Critical Care ◽  
2007 ◽  
Vol 11 (Suppl 4) ◽  
pp. P27
Author(s):  
Piret Mitt ◽  
Siiri Kõljalg ◽  
Krista Lõivukene ◽  
Epp Sepp ◽  
Irja Lutsar ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Yayun Li ◽  
Yuhao Deng ◽  
Lin Ye ◽  
Huiyan Sun ◽  
Songtao Du ◽  
...  

It is not clear whether D-dimer can be an independent predictor of coronavirus disease 2019 (COVID-19) mortality, and the cut-off of D-dimer for clinical use remains to be determined. Therefore, a comprehensive analysis is still necessary to illuminate the clinical significance of plasma D-dimer in COVID-19 mortality. We searched PubMed, Embase, Cochrane Library, and Scopus databases until November 2020. STATA software was used for all the statistical analyses. The identifier of systematic review registration was PROSPERO CRD42020220927. A total of 66 studies involving 40,614 COVID-19 patients were included in our meta-analysis. Pooled data showed that patients in high D-dimer group had poor prognosis than those in low D-dimer group [OR = 4.52, 95% CI = (3.61, 5.67), P < 0.001; HR = 2.81, 95% CI = (1.85, 4.27), P < 0.001]. Sensitivity analysis, pooled data based on different effect models and the Duval and Tweedie trim-and-fill method did not change the conclusions. Subgroup analyses stratified by different countries, cutoffs, sample size, study design, and analysis of OR/HR still keep consistent conclusions. D-dimer was identified as an independent predictor for COVID-19 mortality. A series of values including 0.5 μg/ml, 1 μg/ml, and 2 μg/ml could be determined as cutoff of D-dimer for clinic use. Measurement and monitoring of D-dimer might assist clinicians to take immediate medical actions and predict the prognosis of COVID-19.


2005 ◽  
Vol 26 (6) ◽  
pp. 559-566 ◽  
Author(s):  
Susan E. Beekmann ◽  
Daniel J. Diekema ◽  
Gary V. Doern

AbstractBackground and Objective:Coagulase-negative staphylococci are both an important cause of nosocomial bloodstream infections and the most common contaminants of blood cultures. Judging the clinical significance of coagulase-negative staphylococci is vital but often difficult and can have a profound impact on an institution's bloodstream infection rates. Our objective was to develop an algorithm to assist in determining the clinical significance of coagulase-negative staphylococci.Design:A single experienced reviewer examined the medical records of 960 consecutive patients with positive blood cultures in a tertiary-care referral teaching hospital. Four hundred five of the cultures contained coagulase-negative staphylococci. A determination of clinical significance was made and the performances of various published algorithms that contained readily available clinical and laboratory data were compared.Results:Eighty-nine (22%) of the episodes were considered significant, whereas 316 were contaminants. Patients with bacteremia were significantly more likely to be neutropenic and exhibit signs of sepsis syndrome. The algorithm with the best combined sensitivity (62%) and specificity (91%) for determining the clinical significance of coagulase-negative staphylococci was defined as at least two blood cultures positive for coagulase-negative staphylococci within 5 days, or one positive blood culture plus clinical evidence of infection, which includes abnormal white blood cell count and temperature or blood pressure.Conclusion:Use of this algorithm could potentially reduce misclassification of nosocomial bloodstream infections and inappropriate use of vancomycin for positive blood cultures likely to represent contamination (Infect Control Hosp Epidemiol2005;26:559-566).


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