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健康个体和体弱个体体温及血氧饱和度个体范围算法的开发。

The Development of Algorithms for Individual Ranges of Body Temperature and Oxygen Saturation in Healthy and Frail Individuals.

作者信息

Sund Levander Märta, Grodzinsky Ewa

机构信息

Department of Health, Medicine and Caring Sciences, Medical Faculty, Linköping University, 58185 Linköping, Sweden.

Department of Biomedical and Clinical Sciences, Medical Faculty, Linköping University, 58185 Linköping, Sweden.

出版信息

Healthcare (Basel). 2024 Nov 28;12(23):2393. doi: 10.3390/healthcare12232393.

Abstract

BACKGROUND/OBJECTIVES: Individual habitual conditions entail a risk during the interpretation of vital parameters. We developed algorithms for calculating, validating, and interpreting individual normal ranges of body temperature and oxygen saturation.

METHODS

In total, 70 healthy individuals aged 27 to 80 and 52 frail individuals aged 60 to 100 were included. Data on individual conditions comprised age, gender, physical ability, chronic disease, and medication. Ear temperature and oxygen saturation were measured for five mornings before the participants got out of bed and consumed medicine, food, or drink.

RESULTS

The range for body temperature was 34.3 °C to 37.7 °C, with a variation of 0.7 °C ± 0.4 °C. The variation in minimum and maximum temperatures was 2.4 °C vs. 2.7 °C and 2.9 °C vs. 2.3 °C in healthy and frail subjects, respectively. The range for oxygen saturation was 85% to 99% in healthy individuals and 75% to 100% in frail individuals. The variation between minimum and maximum oxygen saturation was 13% vs. 25% and 4% vs. 17% in healthy and frail subjects, respectively.

CONCLUSIONS

To promote the implementation of precision medicine in clinical practice, it is necessary to interpret body temperature and oxygen saturation based on individual habitual conditions. Interpreting deviations from an individual's normal ranges allows healthcare professionals to provide necessary treatment without delay, which can be decisive in preventing further deterioration.

摘要

背景/目的:个体的习惯状况在解读生命体征参数时存在风险。我们开发了用于计算、验证和解读个体体温及血氧饱和度正常范围的算法。

方法

总共纳入了70名年龄在27至80岁的健康个体和52名年龄在60至100岁的体弱个体。个体状况的数据包括年龄、性别、身体能力、慢性病和用药情况。在参与者起床并服用药物、食物或饮料之前,连续五个早晨测量耳温及血氧饱和度。

结果

体温范围为34.3℃至37.7℃,变化幅度为0.7℃±0.4℃。健康个体和体弱个体的最低和最高体温变化分别为2.4℃对2.7℃以及2.9℃对2.3℃。健康个体的血氧饱和度范围为85%至99%,体弱个体为75%至100%。健康个体和体弱个体的最低和最高血氧饱和度变化分别为13%对25%以及4%对17%。

结论

为促进精准医学在临床实践中的应用,有必要根据个体习惯状况来解读体温和血氧饱和度。解读个体正常范围的偏差能使医护人员及时提供必要治疗,这对防止病情进一步恶化可能具有决定性作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4142/11641774/4cecf23abe24/healthcare-12-02393-g001.jpg

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