Novel Technique for Confirmation of the Day of Ovulation and Prediction of Ovulation in Subsequent Cycles Using a Skin-Worn Sensor in a Population With Ovulatory Dysfunction: A Side-by-Side Comparison With Existing Basal Body Temperature Algorithm and Vaginal Core Body Temperature Algorithm

Hurst, Bradley S.; K., Davies; Milnes, R.C.; Knowles, Toby G; Pirrie, A.

doi:10.3389/fbioe.2022.807139

Cited by 9 publications

(8 citation statements)

References 31 publications

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“…In this study, we determined the optimal fever diagnostic thresholds at the four body surface measurement sites when the sensitivity fulfilled the requirements for fever screening (single sensitivity > 0.95). It is noteworthy that wrist temperature does not appear to be suitable for fever screening due to its low accuracy ( 49 – 51 ).…”

Section: Discussionmentioning

confidence: 99%

Optimal diagnostic fever thresholds using non-contact infrared thermometers under COVID-19

Fan

Liu

et al. 2022

Front. Public Health

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Fever screening is an effective method to detect infectors associated with different variants of coronavirus disease 2019 (COVID-19) based on the fact that most infectors with COVID-19 have fever symptoms. Non-contact infrared thermometers (NCITs) are widely used in fever screening. Nevertheless, authoritative data is lacking in defining “fever” at different body surface sites when using NCITs. The purpose of this study was to determine the optimal diagnostic threshold for fever screening using NICTs at different body surface sites, to improve the accuracy of fever screening and provide theoretical reference for healthcare policy. Participants (n = 1860) who were outpatients or emergency patients at Chengdu Women's and Children's Central Hospital were recruited for this prospective investigation from March 1 to June 30, 2021. NCITs and mercury axillary thermometers were used to measure neck, temple, forehead and wrist temperatures of all participants. Receiver operating characteristic curves were used to reflect the accuracy of NCITs. Linear correlation analysis was used to show the effect of age on body temperature. Multilinear regression analysis was used to explore the association between non-febrile participant's covariates and neck temperature. The mean age of participants was 3.45 ± 2.85 years for children and 28.56 ± 7.25 years for adults. In addition 1,304 (70.1%) participants were children (≤12), and 683 (36.7%) were male. The neck temperature exhibited the highest accuracy among the four sites. Further the optimal fever diagnostic thresholds of NCITs at the four body surface measurement sites were neck (36.75 °C, sensitivity: 0.993, specificity: 0.858); temple (36.55 °C, sensitivity: 0.974, specificity: 0.874); forehead (36.45 °C, sensitivity: 0.961, specificity: 0.813); and wrist (36.15 °C, sensitivity: 0.951, specificity: 0.434). Based on the findings of our study, we recommend 36.15, 36.45, 36.55, and 36.75 °C as the diagnostic thresholds of fever at the wrist, forehead, temple and neck, respectively. Among the four surface sites, neck temperature exhibited the highest accuracy.

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Section: Discussionmentioning

confidence: 99%

Optimal diagnostic fever thresholds using non-contact infrared thermometers under COVID-19

Fan

Liu

et al. 2022

Front. Public Health

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“…A total of 13 studies met the inclusion criteria and were included in the review [7][8][9][10][11][12][13][24][25][26][27][28]. The flowchart illustrating the search process is summarized in Figure 1.…”

Section: Study Selectionmentioning

confidence: 99%

Innovative Approaches to Menstruation and Fertility Tracking Using Wearable Reproductive Health Technology: Systematic Review

Lyzwinski,

Elgendi,

Menon

2024

J Med Internet Res

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Background Emerging digital health technology has moved into the reproductive health market for female individuals. In the past, mobile health apps have been used to monitor the menstrual cycle using manual entry. New technological trends involve the use of wearable devices to track fertility by assessing physiological changes such as temperature, heart rate, and respiratory rate. Objective The primary aims of this study are to review the types of wearables that have been developed and evaluated for menstrual cycle tracking and to examine whether they may detect changes in the menstrual cycle in female individuals. Another aim is to review whether these devices are effective for tracking various stages in the menstrual cycle including ovulation and menstruation. Finally, the secondary aim is to assess whether the studies have validated their findings by reporting accuracy and sensitivity. Methods A review of PubMed or MEDLINE was undertaken to evaluate wearable devices for their effectiveness in predicting fertility and differentiating between the different stages of the menstrual cycle. Results Fertility cycle–tracking wearables include devices that can be worn on the wrists, on the fingers, intravaginally, and inside the ear. Wearable devices hold promise for predicting different stages of the menstrual cycle including the fertile window and may be used by female individuals as part of their reproductive health. Most devices had high accuracy for detecting fertility and were able to differentiate between the luteal phase (early and late), fertile window, and menstruation by assessing changes in heart rate, heart rate variability, temperature, and respiratory rate. Conclusions More research is needed to evaluate consumer perspectives on reproductive technology for monitoring fertility, and ethical issues around the privacy of digital data need to be addressed. Additionally, there is also a need for more studies to validate and confirm this research, given its scarcity, especially in relation to changes in respiratory rate as a proxy for reproductive cycle staging.

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“…Frameworks are being developed to encourage these products to be inclusive 89 . These products can potentially improve the characterization and diagnosis of causes of AUB; for example, ovulatory disorders and contributing factors 90 . Recent advances in estimation of menstrual blood loss via digital applications may also help women understand their symptoms, encourage presentation to healthcare professionals, and help elucidate the true prevalence of AUB in the reproductive years 91 …”

Section: Evidence Gapsmentioning

confidence: 99%

Contemporary evaluation of women and girls with abnormal uterine bleeding: FIGO Systems 1 and 2

Jain

Munro

Critchley

2023

Intl J Gynecology & Obste

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Abnormal uterine bleeding (AUB) is common, often debilitating, and may affect over 50% of reproductive‐aged women and girls. Whereas AUB is a collection of symptoms that include intermenstrual bleeding and abnormalities in period duration, cycle length, and regularity, it is heavy menstrual bleeding (HMB) that is most contributory to iron deficiency and related anemia. It is apparent that AUB, in general, and HMB, in particular, remain underrecognized and underreported. FIGO created two systems for assessing and classifying AUB. FIGO System 1 defines the bleeding pattern using four primary descriptors: frequency, duration, regularity, and flow volume. FIGO System 2 provides a structured classification system of possible causes of AUB, using the acronym PALM‐COEIN. “PALM” refers to structural causes of AUB (Polyp, Adenomyosis, Leiomyoma, Malignancy), and “COEI” refers to nonstructural causes (Coagulopathy, Ovulatory dysfunction, Endometrial, and Iatrogenic). The “N” is reserved for those entities that are currently not otherwise classified. Using FIGO System 1 as a gateway to FIGO System 2 streamlines the investigation of reproductive‐aged women and girls with AUB. Understanding the pathogenesis of the FIGO System 2 “PALM‐COEIN” causes helps interpret investigations and the onward management of AUB. Numerous evidence gaps exist concerning AUB; however, if researchers and trialists universally adopt FIGO Systems 1 and 2 for the assessment and diagnosis of AUB, clear translatable research findings can be applied globally.

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Novel Technique for Confirmation of the Day of Ovulation and Prediction of Ovulation in Subsequent Cycles Using a Skin-Worn Sensor in a Population With Ovulatory Dysfunction: A Side-by-Side Comparison With Existing Basal Body Temperature Algorithm and Vaginal Core Body Temperature Algorithm

Cited by 9 publications

References 31 publications

Optimal diagnostic fever thresholds using non-contact infrared thermometers under COVID-19

Optimal diagnostic fever thresholds using non-contact infrared thermometers under COVID-19

Innovative Approaches to Menstruation and Fertility Tracking Using Wearable Reproductive Health Technology: Systematic Review

Contemporary evaluation of women and girls with abnormal uterine bleeding: FIGO Systems 1 and 2

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