Literature DB >> 11934140

Optimal tuberculosis case detection by direct sputum smear microscopy: how much better is more?

A Van Deun1, A Hamid Salim, E Cooreman, Md Anwar Hossain, A Rema, N Chambugonj, Md A Hye, A Kawria, E Declercq.   

Abstract

SETTING: A tuberculosis control project in Bangladesh.
OBJECTIVE: To define the efficiency of numbers of microscopic fields screened and the sputum collection scheme used for diagnostic smear examination.
DESIGN: Quality controllers noted cumulative numbers of acid-fast bacilli per 100 fields screened. The incremental diagnostic yield of different sputum sampling strategies was determined. Doubtful series were re-checked and/or further samples examined.
RESULTS: Acid-fast bacilli were found in 99.6% of 1412 positive and in 79.3% of 576 scanty slides in the first 100 fields. Examination of a third specimen yielded a maximum of 2.7% positives incrementally. The most efficient strategy, using three morning specimens, yielded 94.2% positives on the first and 1.0% on the third sputum; although 10% of suspects did not return, only 1.5% of the positives were among them and more cases were confirmed and treated. The positive predictive value of a single positive or scanty smear was very high (99.2%).
CONCLUSIONS: Reading more than 100 fields per smear or examining a third sputum has insufficient marginal returns to justify the workload. Examining morning samples only is more efficient, and their collection does not necessarily inconvenience patients. Treatment can be started on the basis of one positive smear. Provided that a well functioning system of smear-microscopy quality control is in place, we propose a strategy based on examination of two morning sputum samples for negative suspects, with the diagnosis based on a single positive result.

Entities:  

Mesh:

Year:  2002        PMID: 11934140

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  15 in total

1.  A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.

Authors:  Pingli Ma; Chen Li; Md Mamunur Rahaman; Yudong Yao; Jiawei Zhang; Shuojia Zou; Xin Zhao; Marcin Grzegorzek
Journal:  Artif Intell Rev       Date:  2022-06-07       Impact factor: 9.588

2.  Determining the burden of tuberculosis in Eritrea: a new approach.

Authors:  Mineab Sebhatu; Bahlbi Kiflom; Melles Seyoum; Nuredin Kassim; Tesfazion Negash; Andeberhan Tesfazion; Martien W Borgdorff; Marieke J van der Werf
Journal:  Bull World Health Organ       Date:  2007-08       Impact factor: 9.408

3.  Automated detection of tuberculosis in Ziehl-Neelsen-stained sputum smears using two one-class classifiers.

Authors:  R Khutlang; S Krishnan; A Whitelaw; T S Douglas
Journal:  J Microsc       Date:  2010-01       Impact factor: 1.758

4.  Sensitivity and specificity of fluorescence microscopy for diagnosing pulmonary tuberculosis in a high HIV prevalence setting.

Authors:  A Cattamanchi; J L Davis; W Worodria; S den Boon; S Yoo; J Matovu; J Kiidha; F Nankya; R Kyeyune; P Byanyima; A Andama; M Joloba; D H Osmond; P C Hopewell; L Huang
Journal:  Int J Tuberc Lung Dis       Date:  2009-09       Impact factor: 2.373

5.  Classification of Mycobacterium tuberculosis in images of ZN-stained sputum smears.

Authors:  Rethabile Khutlang; Sriram Krishnan; Ronald Dendere; Andrew Whitelaw; Konstantinos Veropoulos; Genevieve Learmonth; Tania S Douglas
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-09-01

6.  Implementation of LED fluorescence microscopy for diagnosis of pulmonary and HIV-associated tuberculosis in a hospital setting in Indonesia.

Authors:  Lidya Chaidir; Ida Parwati; Jessi Annisa; Soni Muhsinin; Intan Meilana; Bachti Alisjahbana; Reinout van Crevel
Journal:  PLoS One       Date:  2013-04-19       Impact factor: 3.240

7.  Sputum smear microscopy in DOTS: Are three samples necessary? An analysis and its implications in tuberculosis control.

Authors:  Sukhesh Rao
Journal:  Lung India       Date:  2009-01

8.  "Proof-of-concept" evaluation of an automated sputum smear microscopy system for tuberculosis diagnosis.

Authors:  James J Lewis; Violet N Chihota; Minty van der Meulen; P Bernard Fourie; Katherine L Fielding; Alison D Grant; Susan E Dorman; Gavin J Churchyard
Journal:  PLoS One       Date:  2012-11-29       Impact factor: 3.240

9.  Same-day sputum microscopy: The road ahead in tuberculosis diagnosis.

Authors:  Sitanshu Sekhar Kar; Archana Ramalingam
Journal:  Lung India       Date:  2013-07

10.  Optimising Mycobacterium tuberculosis detection in resource limited settings.

Authors:  Nwofor Alfred; Lawson Lovette; Gambo Aliyu; Obasanya Olusegun; Panwal Meshak; Tunkat Jilang; Mosunmola Iwakun; Emenyonu Nnamdi; Onuoha Olubunmi; Patrick Dakum; Alash'le Abimiku
Journal:  BMJ Open       Date:  2014-03-03       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.