School of Medical Sciences, Edith Cowan University, Perth, Western Australia WA6027, Australia.
EPMA J. 2014 Feb 13;5(1):4. doi: 10.1186/1878-5085-5-4.
The premise of disease-related phenotypes is the definition of the counterpart normality in medical sciences. Contrary to clinical practices that can be carefully planned according to clinical needs, heterogeneity and uncontrollability is the essence of humans in carrying out health studies. Full characterization of consistent phenotypes that define the general population is the basis to individual difference normalization in personalized medicine. Self-claimed normal status may not represent health because asymptomatic subjects may carry chronic diseases at their early stage, such as cancer, diabetes mellitus and atherosclerosis. Currently, treatments for non-communicable chronic diseases (NCD) are implemented after disease onset, which is a very much delayed approach from the perspective of predictive, preventive and personalized medicine (PPPM). A NCD pandemic will develop and be accompanied by increased global economic burden for healthcare systems throughout both developed and developing countries. This paper examples the characterization of the suboptimal health status (SHS) which represents a new PPPM challenge in a population with ambiguous health complaints such as general weakness, unexplained medical syndrome (UMS), chronic fatigue syndrome (CFS), myalgic encephalomyelitis (ME), post-viral fatigue syndrome (PVFS) and chronic fatigue immune dysfunction syndrome (CFIDS).
We applied clinical informatic approaches and developed a questionnaire-suboptimal health status questionnaire-25 (SHSQ-25) for measuring SHS. The validity and reliability of this approach were evaluated in a small pilot study and then in a cross-sectional study of 3,405 participants in China.
We found a correlation between SHS and systolic blood pressure, diastolic blood pressure, plasma glucose, total cholesterol and high-density lipoprotein (HDL) cholesterol among men, and a correlation between SHS and systolic blood pressure, diastolic blood pressure, total cholesterol, triglycerides and HDL cholesterol among women.
The SHSQ-25 is a self-rated questionnaire of perceived health complaints, which can be used as a new instrument for PPPM. An ongoing longitudinal SHS cohort survey (China Sub-optimal Health Cohort Study, COACS) consisting of 50,000 participants will provide a powerful health trial to use SHSQ-25 for its application to PPPM through patient stratification and therapy monitoring using innovative technologies of predictive diagnostics and prognosis: an effort of paradigm shift from reactive to predictive medicine.
疾病相关表型的前提是医学科学中对应常态的定义。与可以根据临床需求精心计划的临床实践相反,异质性和不可控性是人类进行健康研究的本质。充分描述定义一般人群的一致表型是实现个性化医疗中个体差异正常化的基础。自称的正常状态可能并不代表健康,因为无症状患者可能在早期就患有慢性疾病,如癌症、糖尿病和动脉粥样硬化。目前,非传染性慢性疾病(NCD)的治疗是在疾病发作后进行的,从预测性、预防性和个性化医学(PPPM)的角度来看,这是一种非常滞后的方法。NCD 大流行将发展,并伴随着发达国家和发展中国家医疗保健系统的全球经济负担增加。本文以具有模糊健康投诉的人群为例,如全身无力、原因不明的医学综合征 (UMS)、慢性疲劳综合征 (CFS)、肌痛性脑脊髓炎 (ME)、病毒性疲劳综合征 (PVFS) 和慢性疲劳免疫功能障碍综合征 (CFIDS),描述了亚最佳健康状态 (SHS) 的特征,这代表了 PPPM 的一个新挑战。
我们应用临床信息学方法,开发了一个用于测量 SHS 的问卷-亚最佳健康状态问卷-25(SHSQ-25)。我们在一项小型试点研究中评估了这种方法的有效性和可靠性,然后在中国对 3405 名参与者进行了横断面研究。
我们发现男性 SHS 与收缩压、舒张压、血浆葡萄糖、总胆固醇和高密度脂蛋白 (HDL) 胆固醇之间存在相关性,女性 SHS 与收缩压、舒张压、总胆固醇、甘油三酯和 HDL 胆固醇之间存在相关性。
SHSQ-25 是一种自我评估的健康投诉问卷,可以作为 PPPM 的新工具。一项正在进行的纵向 SHS 队列研究(中国亚最佳健康队列研究,COACS)由 50000 名参与者组成,该研究将提供一个强大的健康试验,使用 SHSQ-25 通过使用预测诊断和预后的创新技术对患者进行分层和治疗监测,为从反应性医学向预测性医学的范式转变提供动力:这是一种努力。