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用于诊断活动性肺结核的自动化数字显微镜检查的成本效益

Cost-Effectiveness of Automated Digital Microscopy for Diagnosis of Active Tuberculosis.

作者信息

Jha Swati, Ismail Nazir, Clark David, Lewis James J, Omar Shaheed, Dreyer Andries, Chihota Violet, Churchyard Gavin, Dowdy David W

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.

Centre for Tuberculosis National Institute for Communicable Diseases, Sandringham, South Africa.

出版信息

PLoS One. 2016 Jun 20;11(6):e0157554. doi: 10.1371/journal.pone.0157554. eCollection 2016.

Abstract

BACKGROUND

Automated digital microscopy has the potential to improve the diagnosis of tuberculosis (TB), particularly in settings where molecular testing is too expensive to perform routinely. The cost-effectiveness of TB diagnostic algorithms using automated digital microscopy remains uncertain.

METHODS

Using data from a demonstration study of an automated digital microscopy system (TBDx, Applied Visual Systems, Inc.), we performed an economic evaluation of TB diagnosis in South Africa from the health system perspective. The primary outcome was the incremental cost per new TB diagnosis made. We considered costs and effectiveness of different algorithms for automated digital microscopy, including as a stand-alone test and with confirmation of positive results with Xpert MTB/RIF ('Xpert', Cepheid, Inc.). Results were compared against both manual microscopy and universal Xpert testing.

RESULTS

In settings willing to pay $2000 per incremental TB diagnosis, universal Xpert was the preferred strategy. However, where resources were not sufficient to support universal Xpert, and a testing volume of at least 30 specimens per day could be ensured, automated digital microscopy with Xpert confirmation of low-positive results could facilitate the diagnosis of 79-84% of all Xpert-positive TB cases, at 50-60% of the total cost. The cost-effectiveness of this strategy was $1280 per incremental TB diagnosis (95% uncertainty range, UR: $340-$3440) in the base case, but improved under conditions likely reflective of many settings in sub-Saharan Africa: $677 per diagnosis (95% UR: $450-$935) when sensitivity of manual smear microscopy was lowered to 0.5, and $956 per diagnosis (95% UR: $40-$2910) when the prevalence of multidrug-resistant TB was lowered to 1%.

CONCLUSIONS

Although universal Xpert testing is the preferred algorithm for TB diagnosis when resources are sufficient, automated digital microscopy can identify the majority of cases and halve the cost of diagnosis and treatment when resources are more scarce and multidrug-resistant TB is not common.

摘要

背景

自动化数字显微镜技术有潜力改善结核病(TB)的诊断,尤其是在分子检测因费用过高而无法常规开展的情况下。使用自动化数字显微镜的结核病诊断算法的成本效益仍不确定。

方法

利用一项自动化数字显微镜系统(TBDx,应用视觉系统公司)示范研究的数据,我们从卫生系统角度对南非的结核病诊断进行了经济评估。主要结果是每新增一例结核病诊断的增量成本。我们考虑了自动化数字显微镜不同算法的成本和效果,包括作为独立检测方法以及用Xpert MTB/RIF(“Xpert”,塞菲德公司)确认阳性结果的情况。将结果与手工显微镜检查和普遍的Xpert检测进行了比较。

结果

在愿意为每例新增结核病诊断支付2000美元的情况下,普遍使用Xpert是首选策略。然而,在资源不足以支持普遍使用Xpert且每天至少能确保检测30份样本的地方,用Xpert确认低阳性结果的自动化数字显微镜检查能够以总成本的50 - 60%诊断出所有Xpert阳性结核病病例的79 - 84%。在基础情况下,该策略的成本效益为每新增一例结核病诊断1280美元(95%不确定性范围,UR:340 - 3440美元),但在可能反映撒哈拉以南非洲许多地区情况的条件下有所改善:当手工涂片显微镜检查的敏感性降至0.5时,每次诊断为677美元(95% UR:450 - 935美元);当耐多药结核病的患病率降至1%时,每次诊断为956美元(95% UR:40 - 2910美元)。

结论

尽管在资源充足时,普遍使用Xpert检测是结核病诊断的首选算法,但在资源更为稀缺且耐多药结核病不常见时,自动化数字显微镜检查能够识别大多数病例,并将诊断和治疗成本减半。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29bd/4913947/c35e71d77d66/pone.0157554.g001.jpg

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