Characterising mobility and pressure exposure in community dwelling residents with pressure ulcers using monitoring technology and intelligent algorithm

IF 2.4 3区 医学 Q2 DERMATOLOGY
Silvia Caggiari , Nicci Aylward-Wotton , Bridie Kent , Peter R. Worsley
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引用次数: 0

Abstract

Aim

Individuals in the community with reduced mobility are at risk of exposure to prolonged lying and sitting postures, which may cause pressure ulcers. The present study combines continuous pressure monitoring technology and intelligent algorithms to evaluate posture, mobility, and pressure profiles in a cohort of community dwelling patients, who had acquired pressure ulcers.

Materials and methods

This study represents a secondary analysis of the data from the Quality Improvement project ‘Pressure Reduction through COntinuous Monitoring In the community SEtting (PROMISE)’. 22 patients with pressure ulcers were purposely selected from 105 recruited community residents. Data were collected using a commercial continuous pressure monitoring system over a period of 1–4 days, and analysed with an intelligent algorithm using machine learning to determine posture and mobility events. Duration and magnitude of pressure signatures of each static posture and exposure thresholds were identified based on a sigmoid relationship between pressure and time.

Results

Patients revealed a wide range of ages (30–95 years), BMI (17.5–47 kg/m2) and a series of co-morbidities, which may have influenced the susceptibility to skin damage. Posture, mobility, and pressure data revealed a high degree of inter-subject variability. Largest duration of static postures ranged between 1.7 and 19.8 h, with 17/22 patients spending at least 60 % of their monitoring period in static postures which lasted >2 h. Data revealed that many patients spent prolonged periods with potentially harmful interface pressure conditions, including pressure gradients >60 mmHg/cm.

Conclusion

This study combined posture, mobility, and pressure data from a commercial pressure monitoring technology through an intelligent algorithm. The community residents who had acquired a pressure ulcer at the time of monitoring exhibited trends which exposed their skin and subdermal tissues to prolonged high pressures during static postures. These indicators need further validation through prospective clinical trials.
利用监测技术和智能算法描述患有褥疮的社区住宅居民的活动能力和压力暴露情况
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of tissue viability
Journal of tissue viability DERMATOLOGY-NURSING
CiteScore
3.80
自引率
16.00%
发文量
110
审稿时长
>12 weeks
期刊介绍: The Journal of Tissue Viability is the official publication of the Tissue Viability Society and is a quarterly journal concerned with all aspects of the occurrence and treatment of wounds, ulcers and pressure sores including patient care, pain, nutrition, wound healing, research, prevention, mobility, social problems and management. The Journal particularly encourages papers covering skin and skin wounds but will consider articles that discuss injury in any tissue. Articles that stress the multi-professional nature of tissue viability are especially welcome. We seek to encourage new authors as well as well-established contributors to the field - one aim of the journal is to enable all participants in tissue viability to share information with colleagues.
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