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Averaging Times for Pulse Oximeter Measurements – A Review of Manuscripts Published in the Top Five Sleep Medicine Journals
Authors Vagedes J , Sobh M, Islam MOA , Poets CF
Received 26 January 2024
Accepted for publication 5 June 2024
Published 2 August 2024 Volume 2024:16 Pages 1131—1139
DOI https://doi.org/10.2147/NSS.S460231
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Valentina Alfonsi
Jan Vagedes,1,2 Mohsen Sobh,2 Mohammad Oli Al Islam,2 Christian F Poets1
1Department of Neonatology, Children’s Hospital, University of Tübingen, Tübingen, Germany; 2ARCIM-Institute, Research Department, Filderklinik, Filderstadt, Germany
Correspondence: Jan Vagedes, ARCIM Institute, Im Haberschlai 7, Filderstadt, 70794, Germany, Tel +49 711 7703-1687, Email [email protected]
Purpose: Clinical management decisions often rely on a patient’s SpO2 level and desaturation rate. Limitations include that measurements depend on the averaging time (AVT) used, which is particularly relevant to sleep medicine, but has yet received little attention.
Methods: Cross-sectional review of studies reporting pulse oximeter saturation (SpO2) measurements published in 5 leading sleep medicine journals. All papers published between 2017 and 2023 reporting SpO2 measurements were screened regarding the AVT used.
Results: Of 193 papers identified, 151 were included; of these, only 9 studies mentioned the AVT, 4 of these were published in one journal. The AVT ranged from zero (beat-to-beat-mode) to 10s, with 3s being used most often (33.3%), followed by 2s (22.2%).
Conclusion: The AVT is only rarely mentioned in sleep medicine papers, despite its influence on sleep study results. Reported AVTs were heterogenous. Further research is warranted to set up guidelines for using or reporting the AVT.
Keywords: pulse oximetry, averaging time, oxygen saturation, desaturation, SpO2, sleep medicine
Introduction
Clinical management decisions in intensive care, sleep medicine and neonatology often rely on a patient’s pulse oximeter (SpO2) readings, the frequency or severity of a patient’s desaturation events, and the duration spent in various saturation ranges.1,2 Pulse oximetry offers several benefits, such as simplicity of use for clinical assessments and reasonable agreement with arterial oxygen saturation, at least for values >70% SpO2, allowing for a significant reduction in the number of arterial blood gases. Nevertheless, in 2021, both the FDA and MHRA issued significant statements regarding pulse oximetry emphasizing the importance of accurate pulse oximeters and highlighting the necessity for devices to meet specific accuracy criteria. Limitations of pulse oximetry include its vulnerability to movement,3–5 skin pigmentation,6 ambient light,7,8 poor perfusion,9,10 nonfunctional hemoglobins (such as carboxy- or methemoglobin) or electromagnetic radiation. For motion-induced distortions, modern pulse oximeters utilize techniques like plethysmographic waveform analysis to reduce interference, or they increase their averaging time. While the impact of motion on desaturation levels and durations is well known, the relevance of the AVT has yet received little attention.11–16
Displayed SpO2 readings are either based on a beat-to-beat analysis or are averaged over a specific time period of typically 2–8 s.17 With a short AVT (eg, 2 s), it is easier to detect short-lived desaturation events.18 On the contrary, longer AVTs (eg, 16 seconds) underestimate the extent and overestimate the duration of intermittent hypoxemia events.19–21 This fact is not trivial, considering that some therapeutic decisions in sleep medicine depend on how many desaturations occur within a certain period of time. If, for example, too few desaturations are measured due to an incorrectly selected averaging time, therapeutic interventions might be applied too late or not at all.
There are only a few studies and no comprehensive review on the effects of the AVT on desaturation rates.19,22–27 We reviewed original studies published in the top five sleep medicine journals to determine which AVTs are mainly used in studies involving SpO2 measurements.
Methods
Study Design
This study is a cross-sectional review of studies reporting oxygen saturation (SpO2) measurements published in the 5 leading sleep medicine journals. Participant consent was not required as all data utilized were sourced from published articles.
Search Strategy and Data Source
A systematic literature search was conducted in the MEDLINE database in May 2023 to include papers published since January 2017 in the five highest ranking sleep medicine journals. Rankings were determined based on the 5-year journal impact factor calculated by the Journal Citation Report 2022 (Web of Science, Clarivate Analytics).28 This approach guaranteed that the selected journals conform to rigorous criteria, thereby enhancing the probability that authors disclosing their results possess expertise regarding possible challenges in oxygen saturation assessments. Web of Science has already established categories such as general and internal medicine, pediatrics and anesthesiology, but not for sleep medicine. Therefore, we searched for journals that include “sleep” and included the 5 leading journals according to their 5-year journal impact factor. These journals were as follows (in ascending order based on their impact factor): Journal of Clinical Sleep Medicine; Nature and Science of Sleep; Sleep; Sleep Health; and Sleep Medicine Reviews. The search strategy was conducted for each journal separately by combining the journal name in the PubMed search engine with the following search terms: pulse oximetry OR oximetry OR oxygen saturation OR SpO2.
Eligibility Criteria
Eligible papers were clinical studies reporting results on oxygen saturation or desaturation measurements in humans. With respect to study design, we included RCTs or other prospective studies as well as retrospective or cross-sectional studies and excluded, eg, reviews, meta-analyses, commentaries, letters to the editor, case reports, case series or qualitative studies. In the remaining papers, either a device to measure the oxygen saturation, the oxygen saturation or desaturation events or a combination of the above had to be mentioned. We did not analyze oxygen saturation parameters like arterial oxygen saturation, regional oxygen saturation, regional cerebral oxygen saturation, central venous oxygen saturation or tissue oxygen saturation and excluded papers if only the latter parameters were reported.
Screening and Data Extraction
Further screening for the eligibility criteria was conducted by screening the study design and the inclusion of concrete measurements of oxygen saturations or desaturation rates. Two independent authors screened the full text of each eligible paper as to whether the AVT was mentioned. The initial manual search for “averaging time” – conducted by one author – was extended while screening for expressions describing the averaging process like “with a 7 second oximetry signal average”, “8 s averaging” or “signal averaging set to” and a list of corresponding keywords was generated for the search, which was then conducted by the other author who screened all eligible papers by using the generated key terms. Any disagreement was resolved by a discussion with a third author, until consensus was reached. After screening, the following data were extracted: journal, impact factor, first author, study title, study design, patients’ age, the section where the AVT was mentioned and how the AVT was described.
Outcome
Primary outcome was the AVT mentioned, secondary outcome was patients’ age.
Statistical Analysis
Parameters for the AVT as well as for age are presented descriptively.
Results
Our search identified 193 papers. Of these, 39 were excluded due to an ineligible study design and 3 did not report oxygen saturation data. The final sample thus compromised 151 studies. Figure 1 illustrates the selection process.
Characteristics of Included Studies
Studies included in this review were published between 2017 and 2023, with a varying sample size for each year: 2017 (n=18), 2018 (n=16), 2019 (n=18), 2020 (n=23), 2021 (n=25), 2022 (n=46) and 2023 (n=5). More than half the included studies (62.3%; 94 out of 151) were published in the Journal of Clinical Sleep Medicine. Table 1 summarizes the results of the search strategy and the number of included papers in each journal.
All included studies reported the device used for measuring SpO2, either by mentioning the term pulse oximetry or by reporting the concrete monitor used, eg, IntelliVue MP70 (Phillips, Amsterdam, The Netherlands). With respect to oxygen saturation measurements, 3 studies reported SpO2 values, while 148 reported on desaturation rates using different thresholds (with or without additionally mentioning oxygen saturation values). The most frequently reported (de)saturation term was oxygen desaturation index (ODI), followed by oxygen saturation index (OSI) and nadir oxygen saturation. In 27 studies, the measured oxygen saturation or desaturation parameter abbreviation was not provided. In some studies, the term SaO2 was used, although clearly SpO2 had been measured.
Primary and Secondary Outcome Measurements
In total, nine studies mentioned the AVT used for their SpO2 measurements.29–37 Of these nine studies, six included adults with a mean age of 49.4±13.9 years. The AVT ranged from none (beat-to-beat mode) to 10s. The AVT used most often was 3 s (n=3, 33.3%), followed by 2 s (n=2, 22.2%). Table 2 summarizes the studies which mentioned the used AVT and Table 3 gives an overview of the reported AVTs.
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Table 1 Journal’s Impact Factors, in- and Excluded Papers, Papers Mentioning the AVT |
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Table 2 Summary of the 9 Included Studies Mentioning the AVT |
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Table 3 Participants’ Age in the Studies Mentioning the AVT |
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Figure 1 Illustration of the selection process from all identified records to those papers mentioning the averaging time. |
The year with the highest number of publications mentioning the AVT was 2022 (n=3), while none were published in 2021 and 2023. Most studies reporting the AVT were conducted in the USA and Australia (three from each country), followed by one study each from Germany, China and Singapore. The most frequently used terms to describe the AVT was “averaging time”, “signal averaging time”, “averages”, “signal average” and “four-beat fast average”.
Discussion
In this study, we found wide inter-study variability in reported AVTs, ranging from beat-to-beat to 10 seconds, with 3 seconds being the most commonly utilized AVT. However, most studies did not report the AVT at all. The decision to use longer AVTs (10 s) in some studies and shorter AVTs (1 s) in others appeared to be quite arbitrary. No study provided an explanation for the selection of a particular AVT.
Beat-to-beat measurements would be preferable in terms of measurement precision, particularly in the diagnostic setting of a sleep study. The beat-to-beat mode offers the highest precision for SpO2 measurements. The oxygen saturation is calculated by measuring the absorption of red and infrared light with each pulse beat. In neonatology, patients frequently experience rapid fluctuations in oxygen saturation. The beat-to-beat mode is particularly useful in detecting all true changes in oxygen saturation, but it comes with the drawback of a high monitor alarm rate. The latter has the potential to desensitize nursing staff. However, for research and diagnostic purposes, the beat-to-beat mode remains most effective for providing precise information about a patient’s oxygenation stability. For example, much of the reference data available for newborns have been established using this AVT.38–43 Nevertheless, since each unstable signal increases the likelihood of inaccurately low readings, frequent alarms would occur if measured beat-to-beat.
To address this issue, modern oximeters are equipped with a customizable averaging time. However, this smoothing of the SpO2 curve increases the risk of not detecting brief desaturations. Moreover, once the duration of a desaturation episode is considered, the relationship between the rate of desaturation and the averaging time becomes variable. For desaturation durations shorter than 10 seconds, the rate of desaturation falls as the averaging time increases. Conversely, for desaturation durations longer than or equal to 20 seconds, the rate of desaturation increases as the averaging time increases.20 We have previously shown that the lowest level of SpO2, as well as the duration and severity of desaturation, are greatly influenced by the AVT.20 In preterm infants, there was a nearly six-fold increase in the number of desaturations to <80% when using a 3-second averaging time instead of a 16-second averaging time. Analyzing the desaturation patterns of children in a sleep lab, we found that there was a decrease in the quantity and total integral of desaturations with increasing AVT, but an increase in the duration and mean single event integral. In order to facilitate comparisons between studies using different AVTs, we therefore developed a conversion formula based on a linear correlation between the logarithms of the AVTs and the desaturation parameters that allows to extrapolate from the number of desaturations actually measured with one AVT to that measured with another AVT. The formula can be applied for infants44 as well as for children.45
These examples demonstrate the importance of considering the AVT, particularly when recording pulse oximetry data for diagnostic purposes (eg, sleep studies). With respect to the present review, the AVT was cited in at least 9 studies, with some groups having a slightly higher level of awareness regarding the significance of reporting the AVT than others. For the future, it would help if standards for performing and analyzing sleep studies, such as those published by the American Academy of Sleep Medicine, would contain a recommendation on the optimal averaging time to be used, which in our view should be the beat-to-beat mode if the focus is on achieving a reliable diagnosis concerning intermittent hypoxemia.46
It is important to acknowledge some limitations of this study. We focused on sleep medicine journals. The situation may be different in other clinical fields such as neonatology, anesthesiology or intensive care medicine. Furthermore, the search was restricted to the last 6 years, hence no information is provided regarding the frequency of AVT reporting in prior publications. Furthermore, we only reviewed studies published in the top five journals in their field. The frequency and specific AVTs mentioned in less frequently cited papers are still uncertain. However, pulse oximetry measurements and desaturations are crucial in sleep medicine. Therefore, we considered it appropriate to focus on this field initially and prioritize on its leading journals. This approach ensures that the included journals adhere to high standards, increasing the likelihood that authors reporting their findings are knowledgeable about potential challenges in oxygen measurements.
Conclusion
Overall, a wide range of AVT is referenced in prominent sleep medicine publications. It is worth noting that the choice of AVT appears somewhat arbitrary in all instances. It is preferable to mandate the inclusion of AVT in all studies that involve oxygen saturation measurements. Although existing conversion formulas allow for a preliminary comparison of different studies, further research is necessary to determine the optimal AVT to be utilized. Mentioning the AVT should become a standard for all sleep medicine studies including oxygen saturation measurements.
Data Sharing Statement
The analyzed dataset, extracted data and other data that support the findings of this cross-sectional review are available from the corresponding author upon reasonable request.
Ethics Approval
This review is approved by the ethics committee of the University of Tübingen, Germany (No. 022/2024A). Since all results included in this review are based on previously published studies, patient consent was not required.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Funding
The ARCIM Institute is supported by general, unrestricted funding from the Mahle Foundation, Stuttgart, Germany. The funder had no role at any stage of the study, data analysis, or manuscript preparation.
Disclosure
The authors declare no conflicts of interest in this work.
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