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Indoor CO2 monitoring in a surgical intensive care unit under visitation restrictions during the COVID-19 pandemic.


ABSTRACT:

Background

Indoor CO2 concentration is an important metric of indoor air quality (IAQ). The dynamic temporal pattern of CO2 levels in intensive care units (ICUs), where healthcare providers experience high cognitive load and occupant numbers are frequently changing, has not been comprehensively characterized.

Objective

We attempted to describe the dynamic change in CO2 levels in the ICU using an Internet of Things-based (IoT-based) monitoring system. Specifically, given that the COVID-19 pandemic makes hospital visitation restrictions necessary worldwide, this study aimed to appraise the impact of visitation restrictions on CO2 levels in the ICU.

Methods

Since February 2020, an IoT-based intelligent indoor environment monitoring system has been implemented in a 24-bed university hospital ICU, which is symmetrically divided into areas A and B. One sensor was placed at the workstation of each area for continuous monitoring. The data of CO2 and other pollutants (e.g., PM2.5) measured under standard and restricted visitation policies during the COVID-19 pandemic were retrieved for analysis. Additionally, the CO2 levels were compared between workdays and non-working days and between areas A and B.

Results

The median CO2 level (interquartile range [IQR]) was 616 (524-682) ppm, and only 979 (0.34%) data points obtained in area A during standard visitation were ≥ 1,000 ppm. The CO2 concentrations were significantly lower during restricted visitation (median [IQR]: 576 [556-596] ppm) than during standard visitation (628 [602-663] ppm; p < 0.001). The PM2.5 concentrations were significantly lower during restricted visitation (median [IQR]: 1 [0-1] μg/m3) than during standard visitation (2 [1-3] μg/m3; p < 0.001). The daily CO2 and PM2.5 levels were relatively low at night and elevated as the occupant number increased during clinical handover and visitation. The CO2 concentrations were significantly higher in area A (median [IQR]: 681 [653-712] ppm) than in area B (524 [504-547] ppm; p < 0.001). The CO2 concentrations were significantly lower on non-working days (median [IQR]: 606 [587-671] ppm) than on workdays (583 [573-600] ppm; p < 0.001).

Conclusion

Our study suggests that visitation restrictions during the COVID-19 pandemic may affect CO2 levels in the ICU. Implantation of the IoT-based IAQ sensing network system may facilitate the monitoring of indoor CO2 levels.

SUBMITTER: Chou YA 

PROVIDER: S-EPMC10375033 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Indoor CO<sub>2</sub> monitoring in a surgical intensive care unit under visitation restrictions during the COVID-19 pandemic.

Chou Ying-An YA   Wang Zheng-Yao ZY   Chang Hsiang-Ching HC   Liu Yi-Chia YC   Su Pei-Fang PF   Huang Yen Ta YT   Yang Chao-Tung CT   Lai Chao-Han CH  

Frontiers in medicine 20230714


<h4>Background</h4>Indoor CO<sub>2</sub> concentration is an important metric of indoor air quality (IAQ). The dynamic temporal pattern of CO<sub>2</sub> levels in intensive care units (ICUs), where healthcare providers experience high cognitive load and occupant numbers are frequently changing, has not been comprehensively characterized.<h4>Objective</h4>We attempted to describe the dynamic change in CO<sub>2</sub> levels in the ICU using an Internet of Things-based (IoT-based) monitoring syste  ...[more]

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