Complementary and Alternative Medicine (CAM) Use Reported Among Individuals with Immune Thrombocytopenia (ITP): Data from the ITP Natural History Study Registry
Notice bibliographique
Résumé
Background and Aims: CAM refers to non-traditional disease treatments, like supplements and dietary modifications, used either alone or alongside conventional medicine. The use of CAM in children and adults with immune thrombocytopenia (ITP), an autoimmune bleeding disorder, has not been well-studied or reported. Patients may be reluctant to share CAM use with health care providers (HCPs). Here, we describe the prevalence, associated characteristics, and reporting of CAM use among individuals with ITP based on survey data collected from the ITP Natural History Study Registry. Methods: This is a prospective cohort study of self-reporting adults and caregivers of children with thrombocytopenia registered in the ITP Natural History Study Registry. Data were collected between February 2017-May 2024; from the following surveys: participant profile, diagnosis, treatment, COVID-19 (for non-COVID related recent treatment history only), and bleeding and hospitalization. Participants were included if they entered data for all five surveys. Data were analyzed with descriptive statistics, two-tailed T-tests, and chi-square analysis. Results: A total of 788 participants were included. Most were female (74%) and had primary (82%) and chronic ITP (78%). The median age at the time of ITP diagnosis was 33 years (range 1-85). The median age of survey completion was 51 years; age of participants ranged from <18 years (6%, 49/788) to 18-59 (62%, 492/788) to >60 (31%, 247/788). Most individuals live in the US (79%); other countries included Canada (9%), UK (4%), and Australia (3%). An additional 5% were from other countries. The majority had health insurance (94%; 729/788), and 27% (210/788) reported currently receiving treatment for their ITP. Of the 788 participants, half (49%, 389/788) reported using both traditional therapies and CAM, 44% (348/788) reported using traditional therapies without CAM, and 6% (51/788) had never used either CAM or traditional therapies. Only 23% had discussed CAM use with their HCP. CAM users were more likely to see a naturopathic/holistic provider for their ITP management (27%) compared to non-CAM users (5%) (p = 0.011). Dietary modifications were reported by 73 (9%) participants including gluten-free, vegan, macrobiotic, anti-quinine, anti-inflammatory, anti-aspartame, anti-caffeine and anti-alcohol diets. The most common diets reported were gluten free (45%; 33/73) and anti-inflammatory (44%; 32/73). Supplements were reported in 389 participants, although the specific supplement was reported by only 87 participants and included melatonin, folic acid, papaya leaf extract, coenzyme Q10, chlorophyll, and vitamins C, D, K, and B12. Vitamin D was the predominant supplement (90%; 78/87) used. Among CAM users, 10% reported using a CAM within the first year of their ITP diagnosis; 30% within the first 5 years, and 53% within the first 9 years. Despite the frequent use of CAM, when asked specifically about current or previous treatment for ITP, the majority did not select that they had used a CAM (98%, 634/646). CAM users tended to be older at ITP diagnosis (median age 36 years vs. 29 years, p = 0.0039) and survey completion (median age 53 years vs. 38 years, p = 0.00016) than non-CAM users and were more likely to be between the ages of 50-69 years (57%, 160/279, p = 0.0011) compared to non-CAM users. CAM users had a higher median number of prior traditional treatments (2 vs 1, p = <0.0001), and reported a higher education (college, university, or graduate studies) compared to those using traditional medication only (p<0.00001). There was no difference in CAM use by country, race, health insurance, income level, employment, or hospitalization frequency. Conclusion: CAM use was common among respondents particularly among older adults and those with a higher level of education. Half reported using either a supplement or dietary modification to treat their ITP although only 23% reported discussing CAM use with their HCP. HCPs should inquire about CAM use and specifically ask about supplements and/or dietary modifications as the term ‘CAM’ may not be understood, as shown here. Discussing CAM use with patients is important for evaluating drug-interactions with traditional therapies and the effect these interventions may have on ITP. Further studies should investigate the prevalence of CAM use in a wider ITP patient population and describe the reasons for, perceptions of, and types of CAM use in ITP.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».