Literature DB >> 92891

Quality assurance of gram-stained direct smears.

R C Bartlett, J Tetreault, J Evers, J Officer, J Derench.   

Abstract

Clinical laboratories do not always prepare and examine direct smears. In part, this may be explained by lack of control over the precision and accuracy of the procedure, which has diminished confidence in direct smears among both laboratory scientists and clinicians. Objective criteria were established for enumeration of cells and placement of bacteria in identification categories. Two methods for monitoring the accuracy and reproducibility of their application were studied: (1) examination of previously examined and reported direct smears of clinical specimens by independent observers with subsequent review of discrepancies with decisions by personnel; (2) preparation of suspensions of cells and bacteria that yielded identical smears for subsequent examination as unknowns. Method 1 showed agreement in bacterial identification category in 65%, quality score 74%, enumeration of neutrophils 79%, squamous cells 76%, and erythrocytes 92%. Method 2 showed that conformance of technologists' observations to expected results varied, for neutrophils conformance was 72-78%, squamous cells, 68-78%, bacterial identification category, 100%, and bacterial enumeration, 45-96%.

Mesh:

Year:  1979        PMID: 92891     DOI: 10.1093/ajcp/72.6.984

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  7 in total

1.  Reproducibility of interpretation of Gram-stained vaginal smears for the diagnosis of bacterial vaginosis.

Authors:  T Mazzulli; A E Simor; D E Low
Journal:  J Clin Microbiol       Date:  1990-07       Impact factor: 5.948

2.  Semiquantitation of bacteria in sputum gram stains.

Authors:  P N Valenstein
Journal:  J Clin Microbiol       Date:  1988-09       Impact factor: 5.948

3.  A transport method for swab specimens submitted for aerobic and anaerobic bacteriology.

Authors:  M Alfa; A Lee
Journal:  J Clin Pathol       Date:  1982-05       Impact factor: 3.411

4.  Development of a Machine learning image segmentation-based algorithm for the determination of the adequacy of Gram-stained sputum smear images.

Authors:  Manraj Sirohi; Mahima Lall; Swapna Yenishetti; Lakshmi Panat; Ajai Kumar
Journal:  Med J Armed Forces India       Date:  2021-11-28

5.  Utility of gram staining for evaluation of the quality of cystic fibrosis sputum samples.

Authors:  Bindu Nair; Jenny Stapp; Lynn Stapp; Linda Bugni; Jill Van Dalfsen; Jane L Burns
Journal:  J Clin Microbiol       Date:  2002-08       Impact factor: 5.948

Review 6.  Evolving approaches to management of quality in clinical microbiology.

Authors:  R C Bartlett; M Mazens-Sullivan; J Z Tetreault; S Lobel; J Nivard
Journal:  Clin Microbiol Rev       Date:  1994-01       Impact factor: 26.132

7.  Risk of bacterial infection in previously healthy respiratory syncytial virus-infected young children admitted to the intensive care unit.

Authors:  Adrienne G Randolph; Lindsay Reder; Janet A Englund
Journal:  Pediatr Infect Dis J       Date:  2004-11       Impact factor: 2.129

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.