Development of a paper-based sensor for continuous breath analysis for monitoring patient health

开发用于连续呼吸分析的纸基传感器,以监测患者健康状况

基本信息

  • 批准号:
    105726
  • 负责人:
  • 金额:
    $ 27.66万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Study
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    已结题

项目摘要

Breathing rate has been described as the single most sensitive marker of patient deterioration (NICE, 2017). Yet, in general wards, breathing rate is only monitored through visual assessment (observing the patient from a distance and counting the rising and falling of the chest) for 30 seconds every 12 hours. As well as being time-consuming, qualitative, and highly prone to human error, several high-profile cases have highlighted that missing observations in sepsis cases have led to avoidable patient death, including babies (PHSO, 2013).Sepsis is a life-threatening condition responsible for 52,000 deaths in the UK annually (UK Sepsis Trust, 2018), second only to cardiovascular disease. Sepsis survivors often suffer from long-term mental and physical effects, including amputations, organ failure, chronic pain, fatigue and post-traumatic stress disorder (NHS England, 2015). Globally, the disease claims 6 million lives a year, including 1 million newborn babies and 100,000 maternal deaths (WHO, 2017).For every hour's delay in the treatment of sepsis, the patient's risk of death increases by 7.6% (Kumar et al., 2006), meaning that by the next observation a sepsis patient's chance of death may have increased to 50%. Yet, sepsis is a highly treatable condition if detected early. Estimates indicate that earlier identification and treatment of sepsis across the UK could save 14,000 lives annually, as well as avoid 400,000 hospital bed days, potentially saving the economy £2.8 billion (YHEC, 2017).With funding from Innovate UK, Spyras will develop an affordable, disposable wearable medical device for continuous real-time breathing analysis in general wards. Our connected device has the potential to automatically alert clinicians to patients showing early signs of deterioration. Compared to competitive devices already on the market, our paper-based sensor is lower cost and more accurate. We will demonstrate device performance in healthy subjects, ready for post-project clinical trials.As a result of late diagnosis and treatment of sepsis in UK hospitals, 59,000 patients enter intensive care units from post-operative and post-natal wards, at a direct treatment cost to the NHS of £188 million; 12,000 die during this first period of admission, while 19,400 are rehospitalised within 30 days and have long-term post-sepsis complications (Norman et al., 2017). The use of our device solely in this application could save 5,250 lives annually in the UK.
呼吸频率被描述为患者恶化的单一最敏感标志物(NICE,2017)。然而,在一般病房,呼吸频率只会每12小时透过视觉评估(从远处观察病人,并计算胸部的起伏)进行30秒的监测。除了耗时、定性和极易出现人为错误外,一些备受关注的病例还强调,败血症病例中的观察结果缺失导致了可避免的患者死亡,包括婴儿(PHSO,2013)败血症是一种危及生命的疾病,每年在英国造成52,000例死亡(UK Sepsis Trust,2018),仅次于心血管疾病。败血症幸存者经常遭受长期的精神和身体影响,包括截肢,器官衰竭,慢性疼痛,疲劳和创伤后应激障碍(NHS英格兰,2015)。在全球范围内,该病每年夺走600万人的生命,包括100万新生儿和10万例孕产妇死亡(WHO,2017),脓毒症治疗每延迟一小时,患者死亡风险增加7.6%(Kumar et al.,2006),这意味着到下一次观察时,脓毒症患者的死亡机会可能增加到50%。然而,如果早期发现,脓毒症是一种高度可治疗的疾病。据估计,早期识别和治疗脓毒症在英国每年可以挽救14,000人的生命,并避免400,000个住院日,可能节省经济28亿英镑(YHEC,2017)。在Innovate UK的资助下,Spyras将开发一种负担得起的一次性可穿戴医疗设备,用于普通病房的连续实时呼吸分析。我们的连接设备有可能自动提醒临床医生患者出现早期恶化迹象。与市场上已有的竞争设备相比,我们的纸基传感器成本更低,精度更高。我们将在健康受试者身上展示设备性能,为项目后临床试验做好准备。由于英国医院对败血症的诊断和治疗较晚,59,000名患者从手术后和产后病房进入重症监护室,NHS的直接治疗费用为1.88亿英镑; 12,000人在入院的第一阶段死亡,而19,400人在30天内再次住院并具有长期的脓毒症后并发症(Norman等人,2017年)。仅在此应用中使用我们的设备每年就可以在英国挽救5,250人的生命。

项目成果

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其他文献

吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
  • DOI:
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    0
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LiDAR Implementations for Autonomous Vehicle Applications
  • DOI:
  • 发表时间:
    2021
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    0
  • 作者:
  • 通讯作者:
生命分子工学・海洋生命工学研究室
生物分子工程/海洋生物技术实验室
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
  • DOI:
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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    2027
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