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This observational study aims to assess the potential relationship between tongue colorimetry (using standardized photographic techniques) and anxiety-depression scores measured by the Montgomery-Åsberg Depression Rating Scale (MADRS) in acupuncture patients. Data will be analyzed using machine learning methods to determine whether tongue color features correlate with MADRS scores, possibly contributing to a novel, non-invasive diagnostic tool for anxiety and depression assessment in clinical practice.
Participation involves only tongue photography and completion of questionnaires, without any invasive procedures or treatment modifications.
This prospective observational study investigates the correlation between lingual colorimetry, captured using readily available and standardized modern photographic tools (iPhone cameras), and anxiety-depression scores evaluated by the Montgomery-Åsberg Depression Rating Scale (MADRS) among patients attending routine acupuncture consultations.
Participants will undergo a simple and non-invasive photographic recording of their tongue using an iPhone, ensuring consistent lighting and standardized positioning to minimize variability. Simultaneously, participants will complete the MADRS questionnaire, a widely validated instrument for assessing anxiety and depression severity. No invasive procedures or therapeutic interventions beyond their usual acupuncture care will be performed.
The acquired photographic data will be analyzed using machine learning algorithms to identify potential predictive relationships between distinct colorimetric characteristics of the tongue and the MADRS scores. The objective is to determine whether lingual imaging could serve as a reliable, non-invasive biomarker or complementary diagnostic tool for assessing psychological status in clinical practice.
This approach leverages everyday technology (smartphones), promoting ease of replication and broader accessibility in clinical environments. Ultimately, findings from this study could facilitate early detection and monitoring of anxiety-depressive disorders, thus enhancing individualized patient care in complementary and integrative medicine.
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| Measure | Description | Time Frame |
|---|---|---|
| Correlation using Machine Learning between Tongue Colorimetric Features and MADRS Scores | This study aims to evaluate the correlation between standardized tongue colorimetric parameters (obtained through digital photographs) and depression/anxiety scores measured by the Montgomery-Åsberg Depression Rating Scale (MADRS). Machine learning methods will be used to analyze tongue images and identify potential associations between colorimetric features and MADRS scores. Participants will be categorized into two subgroups: MADRS < 15 and MADRS ≥ 15, to assess the ability of tongue characteristics to differentiate depression severity. | Baseline (single evaluation at enrollment) |
| Measure | Description | Time Frame |
|---|---|---|
| Machine Learning Analysis of Tongue Features and MADRS Scores |
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Inclusion Criteria:
Exclusion Criteria:
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This is a prospective observational monocentric study conducted in an acupuncture practice. The study aims to establish a correlation between tongue colorimetric features and MADRS scores in patients consulting for symptoms related to anxiety.
Tongue photography and MADRS assessment present no risk to participants. A non-opposition declaration for photography and consent for anonymous and confidential data analysis will be obtained.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cabinet Médical d'Acupuncture | Recruiting | Narbonne | 11100 | France |
The potential sharing of IPD is currently undecided due to ethical considerations regarding the anonymization of tongue photographs. The ethics committee has highlighted the importance of ensuring that no identifiable characteristics can be traced back to participants. If a sharing plan is implemented, it will ensure strict anonymization protocols, including removing metadata, blurring any identifiable features, and restricting access to approved researchers under a confidentiality agreement.
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| ID | Term |
|---|---|
| D001008 | Anxiety Disorders |
| D003863 | Depression |
| ID | Term |
|---|---|
| D001523 | Mental Disorders |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
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| Baseline (single evaluation at enrollment) |