从血液中检测细菌,以快速诊断败血症
M Henar Marino Miguélez1,2, Mohammad Osaid1, Erik Hallström3
1Micro and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden.
NPJ digital medicine
|August 24, 2025
概括
这项研究提出了一种快速的方法,可以在2小时内通过智能离心,微流体和人工智能图像分析来检测血液中引起的败血症,从而改善早期诊断以获得更好的患者结果.
科学领域:
- 生物医学工程
- 医疗诊断
- 传染性疾病
背景情况:
- 每年造成1300万人死亡.
- 延迟治疗使得每小时的存活率降低8%.
- 快速检测细菌和对抗生素的敏感性对于有效治疗败血症至关重要.
研究的目的:
- 开发一种快速的方法直接从全血中分离和检测细菌病原体.
- 提高血液感染诊断的速度和效率.
主要方法:
- 使用智能离心法从全血中分离细菌.
- 微流体捕获细菌度
- 对细菌识别的显微镜图像进行深度学习分析.
- 检测常见的败血症病原体,如大肠杆菌,肺炎菌和菌菌.
主要成果:
- 在2小时内成功检测出大肠杆菌,肺炎菌和便菌.
- 达到临床相关的检测极限,低至7-32 CFU/mL.
- 在快速检测金黄色葡萄球菌方面发现了挑战.
结论:
- 开发的方法在快速,无培养检测血液感染方面取得了重大进展.
- 这项技术有助于更快地诊断出败血症并开始治疗.
- 需要进一步的研究来解决局限性问题,例如S. aureus检测.
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