Mayhue Linda, Choi Jeong Woo Glen, Yang Sun Jong Sam, Jacobsen Jennifer, Lee Yuna, Ahmed Salim
Research and Development, Toronto, ON, Canada.
Midlands Living Center, Council Bluffs, IA, USA.
Gerontol Geriatr Med. 2024 Sep 3;10:23337214241279531. doi: 10.1177/23337214241279531. eCollection 2024 Jan-Dec.
Accurate measurement of vital signs are important at skilled nursing facilities (SNF). Recent technological advancements now enable automated vital sign measurements. This overcomes the limitations of traditional manual vital sign measurement, which is time-consuming and error-prone. We present a novel case where continuous vital sign measurement was used to detect meaningful vital sign changes that led to early detection of a COVID-19 outbreak at a SNF. Residents were continuously monitored for changes to baseline respiratory rate and heart rate and with a Probability of Change (POC). Variations in baseline respiratory rate and heart rate occurred in 66% and 42%, respectively, of COVID-19 positive individuals; 83% of participants had statistically significant variations in either vital sign. Clinical investigations are typically triggered by vital signs outside normal ranges. We present a novel methodology to detect subtle vital sign changes that can lead to earlier diagnosis, treatment, and recovery from infections, like COVID-19.
在专业护理机构（SNF）中，准确测量生命体征非常重要。最近的技术进步使自动生命体征测量成为可能。这克服了传统手动生命体征测量的局限性，传统测量既耗时又容易出错。我们介绍了一个新颖的案例，其中连续生命体征测量被用于检测有意义的生命体征变化，从而在一家专业护理机构中早期发现了新冠疫情。对居民的基线呼吸频率和心率变化以及变化概率（POC）进行持续监测。新冠阳性个体中，分别有66%和42%的人基线呼吸频率和心率出现变化；83%的参与者在这两种生命体征中至少有一种出现了具有统计学意义的变化。临床调查通常由超出正常范围的生命体征触发。我们提出了一种新颖的方法来检测细微的生命体征变化，这些变化可以导致对感染（如新冠）的更早诊断、治疗和康复。
