Study setting {9}
This trial will be conducted at Xiyuan Hospital of China Academy of Chinese Medical Sciences. A total of 60 patients will be recruited. All patients will be informed about the objectives, approaches, potential adverse effects, and advantages of this trial. After obtaining written informed consent from participants and their legal guardian, participants who meet the eligibility criteria will be randomly assigned to the treatment or placebo group in a 1:1 ratio. Participants will undergo an 8-week treatment period and an 8-week follow up. The trial was registered at Chinese Clinical Trial Registry (ChiCTR).org ID: ChiCTR2100041591..
Eligibility criteria {10}
Diagnostic criteria
A diagnosis of AD will be established according to Hanifin and Rajka diagnostic criteria. Major criteria include four clinical symptoms (such as pruritus and typical morphology and distribution). Minor criteria include 32 clinical symptoms (such as xerosis, ichthyosis, palmar hyperlinearity, or keratosis pilaris). Participants will be diagnosed with AD patient if they meet three or more major criteria and three or more minor criteria at the same time.
Inclusion criteria
- Clinical diagnosis of AD
- Clinical diagnosis for TCM syndromes of damp-heat disturbing heart-mind
- SCORAD score between 0 and 50
- Aged 6-12 years old
- Those who volunteered to participate in clinical trial observation and signed the informed consent form
- Compliance with treatment completion and follow-up
- No intake of concomitant drugs during the observation period, except for those specified
Exclusion criteria
Participants with any of the following conditions will be excluded:
- Received antihistamine drugs, topical corticosteroids or calcineurin inhibitors in the preceding 1 week
- Presence of abnormal liver and kidney function or severe systemic diseases
- Combined with other skin diseases and bacterial (fungal) infection that could interfere with the assessment of severity of AD
- Patients with poor compliance with TCM treatment
- Allergy to the ingredients in Longmu Tang granule
- Currently participating in another clinical trial
Who will take informed consent? {26a}
The researchers will design the questions, recruit patients, and conduct the study. The participants and his/her guardians will take the informed consent form if they would like to participate in the study. The informed consent form will cover the purpose, procedure, and potential benefits and risks of the trial.
Additional consent provisions for collection and use of participant data and biological specimens {26b}
Prior to obtaining the informed consent, we will confirm with the participants about the right to use their data. Participants’ data will be shared with the other relevant authorities. The trial does not involve collecting and using biological specimens.
Interventions
Explanation for the choice of comparators {6b}
The Longmu Tang granule placebo was selected as the comparator to access the effects and safety of Longmu Tang granule and minimize bias.
Intervention description {11a}
In the Longmu Tang group, participants will be allocated to receive Longmu Tang granule (9.8 g/sachet) orally with 50 ml of warm water twice a day for 8 weeks. Active granules, each containing 9.8 g of Longmu Tang, are equivalent to 126 g of crude medicine. Placebo granule is composed of 5% crude Longmu Tang and 95% starch and is similar appearance and smell to Longmu Tang granule. Patients in the control group will take orally the placebo at the same dose and schedule as those followed by patients in the Longmu Tang group. Both Longmu Tang and placebo granules will be provided by Beijing Tcmages Pharmaceutical Co., LTD, with similar labels and packaging. According to the analysis, the quality of Longmu Tang granule meets the Chinese Medicine Standards of the State Food and Drug Administration (SFDA).
Criteria for discontinuing or modifying allocated interventions {11b}
Participants who fail to complete the study due to various reasons or use prohibited drugs in the protocol, regardless of time or reason, will be considered as dropouts. Serious adverse events will be reported in accordance with the reporting requirements. If AD worsen during study, the test should be terminated based on the decision from physician. The last recorded data for these participants will be included in data analyses. Data obtained from participants who use prohibited drugs in the protocol will be treated as invalid.
Strategies to improve adherence to interventions {11c}
The drug date and quantity of drug distribution and return will be recorded. Participants are required to return both the finished drug package and the unused drug. Furthermore, the health education and free consultations on the daily care of the participants will address the issue of adherence.
Relevant concomitant care permitted or prohibited during the trial {11d}
Participants will be discouraged from receiving any other treatment or medication during the study period to prevent any effect on the results. In the course of treatment, if there is a lot of exudate or severe itching, the patient can moisten with the skin Kang lotion (Beijing Huayang Kuilong Pharmaceutical Co., Ltd., specification 50ml/bottle, national medicine Zhunzi Z19990045) 2-4 times a day. After being diluted 6 times with boiling water of 4° - 10°, 8 layers of medical gauze can be dipped into the lotion, gently wrung out, and then applied to the affected skin. Loratadine tablets (Caretan, Bayer Medicine (Shanghai) Co., Ltd., specification 10 mg × 6 tablets, national medicine quasi-word H10970410) can also be taken orally once a day, 10 mg each time, if the itching is difficult to resist. Details of the prescriptions and medications used will be strictly recorded in the case report form. The proportion of participants using rescue drugs in the groups will be compared. Other traditional Chinese medicines should be forbidden.
Provisions for post-trial care {30}
If an adverse event occurs in the clinical trial, the committee of medical experts will determine whether it is related to the Longmu Tang granule. Xiyuan Hospital of China Academy of Chinese Medical Sciences will provide the cost of treatment and corresponding economic compensation for the damage related to the trial.
Outcomes {12}
Primary outcome
The primary outcome of the trial is the effectiveness of Longmu Tang granule in improving the clinical symptoms of patients after 8-week treatment. The main evaluation of the primary outcome is the decrease of the SCORAD(SCORing of Atopic Dermatitis Index) (ranging from 0 to 103), proposed by the European Task Force on AD (ETFAD). SCORAD includes the range of objective physical skin lesions (A), the severity of skin lesions (B), and the subjective symptoms of pruritus and the effect on sleep (C). This system is the internationally recognized gold standard for AD scoring. Higher scores can indicate more severe symptoms. The SCORAD before and after the treatment will be statistically analysed.
Criteria for clinical efficacy
Cure: asymptomatic, reduction of SCORAD before and after the treatment by 100%.
Effective: symptoms were significantly relieved, and the reduction of SCORAD before and after the treatment by ≥ 50%.
Ineffective: symptom remission is not obvious or no remission, and reduction of SCORAD before and after the treatment by < 50%.
Secondary outcomes
1. The change of the Children's Dermatology Life Quality Index (CDLQI) score (from baseline to week 8): The DLQI is the most commonly used life index score of dermatological quality. This study will recruit children aged 6 to 12 years. Therefore, the Children's Dermatology Quality of Life Index (CDLQI) score is adopted.
2. The Number Cancel Test score (NCT) (from baseline to week 8): NCT is a traditional method to evaluate attention function. Attention function will be measured before and after the treatment, respectively, for 3 minutes each time, and includes the cancellation net score and cancellation error rate, comparing the number of correct strokes before and after the treatment (the greater the better) and the number of missed strokes and misstrokes (the less the better). Coarse score = the sum of all correct marks, net score = coarse score-(number of misstrokes + number of 1/2 omissions), error rate = (number of misstrokes + number of 1/2 omissions) / coarse scores × 100%.
3. The participants’ expectations of Longmu Tang granule will be assessed at baseline using the following two questions: “Do you think Longmu Tang granule will be effective for treating the illness?” and “Do you think Longmu Tang granule will be effective for relieving the related symptoms of AD?” The response options will be “yes,” “no,” or “unclear.”
4. Integral TCM syndrome score (from baseline to weeks 8 and 12; the scores and details are presented in Tables 2 and 3). A scale of 0–6 points will be used to score the patients with AD according to the severity of clinical symptoms.
Tables 2 Traditional Chinese medicine syndrome score
|
|
None
|
Mild
|
Moderate
|
Severe
|
Primary symptoms
|
Itch
|
0
|
2
|
4
|
6
|
Patterns of skin lesion
|
0
|
2
|
4
|
6
|
Area of skin lesion
|
0
|
<10%
|
10-29%
|
30-49%
|
50-69%
|
70-89%
|
90-100%
|
0
|
1
|
2
|
3
|
4
|
5
|
6
|
Secondary symptoms
|
Restlessness
|
0
|
1
|
2
|
3
|
Dry mouth
|
0
|
1
|
2
|
3
|
Sleeplessness
|
0
|
1
|
2
|
3
|
Dry stool
|
0
|
1
|
2
|
3
|
Scanty dark urine
|
0
|
1
|
2
|
3
|
- Significant effect: inhibition or complete suppression of primary and secondary clinical symptoms and reduction of syndrome score by ≥ 95%.
- Effective: significant improvement in clinical symptoms, and reduction of syndrome score by 70–95%.
- Ineffective: with improvement in clinical symptoms, and reduction of syndrome score by 50–70%.
- Invalid: reduction of treatment syndrome score by < 50%.
Table 3 Detailed description of symptoms according to Traditional Chinese medicine
|
None
|
Mild
|
Moderate
|
Severe
|
Itch
|
No symptom
|
Occasionally occurrence and no influence on study and life
|
Regular occurrence and have influence on study and life
|
Frequent occurrence and have serious influence on study and life
|
Patterns of skin lesion
|
No symptom
|
Erythema, papules, or blisters
|
Oozing
|
Skin thickening (lichenification)
|
Area of skin lesion
|
Calculated based on PASI score
|
Restlessness
|
No symptom
|
Slight
|
Heavy
|
Heavy; irritable
|
Dry mouth
|
No symptom
|
Slight; no need to drink water
|
Severe; need to drink water occasionally
|
Intolerable; need to drink water frequently
|
Sleeplessness
|
No symptom
|
Slower falling asleep or occasional waking
|
Difficult to fall asleep and wake up easily
|
Hardly able to sleep
|
Dry stool
|
No symptom
|
Dry stool; 1 time per day
|
Dry stool, 1 time in 2-3 days
|
Difficult stool,>3 days each time
|
Scanty dark urine
|
No symptom
|
Urine volume is fine, slightly yellowish in color
|
Small amount of urine, yellow color, slightly hot
|
Scanty dark urine
|
Abbreviations:PASI, Psoriasis Area Severity Index
Exploratory outcomes
Serum inflammatory cytokines, such as serum Ig E, tumor necrosis factor (TNF) -α, interleukin-1 (IL-1) and interleukin-6 (IL-6), will be detected using enzyme-linked immunosorbent assay (ELISA) techniques at baseline and week 8. The kits are from Sigma-Aldrich.
Safety measures
Safety measures include laboratory indexes (routine blood and urine analyses, and kidney and liver function tests) and adverse events. All adverse events will be tracked from the randomization to up to 16 weeks after the end of the intervention.
Safety assessment
Full blood count and urine, kidney and liver function tests will be performed before and after treatment. All details of severe adverse events (SAEs) and adverse events (AEs) will be recorded on the case report form (CRF). Any serious adverse events will be reported to the Ethics Approval Committee of Xiyuan Hospital of China Academy of Chinese Medical Sciences within 24 hours. Safety will be monitored at every visit for up to 8 weeks after the end of the intervention.
Participant timeline {13}
The visit schedule for all assessments (baselines, primary outcome, secondary outcomes, exploration outcomes and security indicators) is shown in Figure 1. At each assessment timepoint, the same investigator will evaluate the participants. During the treatment period (i.e., from baseline to 8 weeks), all combined therapeutic drugs will be recorded, including the name, dose and course of these drugs. The participants’ expectations of Longmu Tang granule will be assessed at baseline. The primary outcome and the CDLQI score will be collected at the baseline, the 1st, 2nd, 4th, 6th, and last visit. Exploratory outcomes, the NCT score and safety indicators will only be collected at the baseline and at the last visit. Table 4 summarises the schedule of screening, enrolment, intervention, assessments, and data collection.
Table 4 Schedule of enrolment, interventions, and assessments
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)
Abbreviations: SCORAD, the SCORing of Atopic Dermatitis; CDLQI, the Children's Dermatology Quality of Life Index; NCT, the Number Cancellation Test.
Sample size {14}
The sample size was calculated based on the expected value of efficacy, according to the previous exploratory clinical trial results and data analysis. The total efficacy rates in the study and control groups were 70% and 20%, respectively. Assuming an alpha risk of 5% and a beta risk of 28%, using the GPOWER software (V3.1.9.7), a sample size of 48 (24 participants in each group) was calculated. Considering a 20% loss to follow-up, this trial will require at least 60 participants (30 participants in each group) in the current study.
Recruitment {15}
Sixty participants will be recruited from March 2021 to March 2022 at Xiyuan Hospital of China Academy of Chinese Medical Sciences via Internet advertisements (using WeChat) and posters in the hospital areas (such as the outpatient hall). The dermatologists will also ask the patients if they would like to participate in this trial during the treatment process of AD. A dermatologist will be responsible for screening potential participants and assessing whether they meet the eligibility criteria. A research assistant will provide the participant and his/her guardian with the informed consent form and interpret it for them in detail. The informed consent form will cover the purpose, procedure, and potential benefits and risks of the trial. The research assistant will perform a baseline assessment of all participants (-1 week to 0 week) prior to randomization. The demographic and clinical characteristics of the participants at baseline will be recorded on the case report form (CRF): age, sex, race, birthplace, body mass index (in kg/m2), current address, history of allergic diseases, family history, severity of AD assessed by Scoring Atopic Dermatitis (SCORAD) index (mild [0–24 score], moderate [25–50 score], severe [51–103 score]), quality of life assessed by the Children’s Dermatology Life Quality Index (CDLQI) score, cognitive ability assessed by the Number Cancel Test (NCT), and safety evaluation assessed by laboratory index (full blood count, urine, kidney and liver function tests). An outline of procedures is illustrated in Figure. 1
Assignment of interventions: allocation
Sequence generation {16a}
The random code will be generated by a statistician from the GCP Centre of Xiyuan Hospital of China Academy of Chinese Medical Sciences. Participants will be randomly assigned to either the treatment group or the placebo group, with a ratio of 1:1 and a fixed block of 4.
Concealment mechanism {16b}
The number of the randomization sequences and information about group allocation will be placed in ordered envelopes and subsequently sealed to ensure randomization concealment. The drugs will be labelled with random code on the small and large packages by GCP specialists of Xiyuan Hospital of China Academy of Chinese Medical Sciences.
Implementation {16c}
All participants and researchers will be unaware of the assignment until study completion. The same blinding code generated by statisticians will be provided to the research institution, and will not be broken during the trial period, except in the case of a serious adverse event that requires urgent breaking of the blinding code.
Assignment of interventions: Blinding
Who will be blinded {17a}
All participants and researchers will be blinded until the trial is completed.
Procedure for unblinding if needed {17b}
For emergency blinding, each case corresponds to an emergency envelope with information about the coding and groups. Once any serious event occurs and patients need to be treated, the project leader will decide to initiate unblinding and open the corresponding emergency envelope. The case is then treated as a shedded case.
Data collection and management
Plans for assessment and collection of outcomes {18a}
The assessment and collection of outcomes are described as “outcomes,” and data will be recorded in case report form (CRF) at each visit which can be found with the corresponding author.
Plans to promote participant retention and complete follow-up {18b}
To maximize compliance and retention throughout the study, researchers will ensure that the study schedule and participation requirements are fully explained before the consent is obtained, and that participants are aware of the potential risks and benefits of treatment. Each participant will be provided with a copy of the signed informed consent form, containing the contact information of the investigators, so that they can contact the primary investigators if required. Moreover, all participants will receive phone calls before each visit to remind them of the time. Participants will receive free examinations and the study drug.
Data management {19}
The data will be imported into the Epidata software by two independent researchers. All researchers will receive professional training before and during this trial, including correct assessments, procedures regarding the use of the study drug, CRF completion and use of the Epidata. Auditors from Capital’s Funds for Health Improvement and Research will supervise all trial-related procedures and data management.
Confidentiality {27}
All participants’ data will be collected in specific reception room instead of public areas to avoid revealing their personal information to others. Initials will be used on the CRF and all documents will be stored confidentiality, accessible only to members of this study. Personal information about potential and enrolled participants will only be consulted by researchers of this study and will not be shared.
Plans for collection, laboratory evaluation and storage of biological specimens for genetic or molecular analysis in this trial/future use {33}
Not applicable, this trial does not involve biological specimens collecting.
Statistical methods
Statistical methods for primary and secondary outcomes {20a}
Data analysis will be completed using the Statistical Packages of Social Sciences software (version 22.0), according to the per-protocol principle and the intention-to-treat principle. Normally distributed continuous variables will be reported as the mean ± standard deviation; nonnormally distributed continuous variables will be reported as the median (interquartile range). Two independent sample t tests, the Wilcoxon test or paired t test, will be applied for continuous variables, and the chi-square test and Fisher’s exact probability method will be applied for categorical variables. The two-sided test will be uniformly used in the hypothesis test, with P values <0.05 will be considered indicative of statistically significant and P values <0.01 considered highly statistically significant.
Interim analyses {21b}
Not applicable, the trial will be terminated when the sample reached 60.
Methods for additional analyses (e.g. subgroup analyses) {20b}
Subgroup analyses will be performed by gender in future.
Methods in analysis to handle protocol non-adherence and any statistical methods to handle missing data {20c}
Participants with poor adherence, compliance of experimental drug <80%, or those no longer receiving medication and undergoing testing during the study will be included in the intention-to-treat analysis and excluded from the per-protocol analysis. A multiple data imputation procedure will be used to imput the missing data.
Plans to give access to the full protocol, participant level-data and statistical code {31c}
The full protocol, participant level-data, and statistical code are available from the corresponding author on reasonable request.
Oversight and monitoring
Composition of the coordinating centre and trial steering committee {5d}
The coordinating centre is the department of dermatology of Xiyuan Hospital of China Academy of Chinese Medical Sciences, which will help to recruit participants and obtain consent. The trial steering committee is the Capital’s Funds for Health Improvement and Research, which will supervise the trial and review the trial progress.
Composition of the data monitoring committee, its role and reporting structure {21a}
Not applicable, as this is a low-risk intervention.
Adverse event reporting and harms {22}
All details of severe adverse events (SAEs) and adverse events (AEs) will be recorded on the case report form (CRF) and reported to the primary researcher, including the symptoms and severity, timing, action taken and outcomes. Any serious adverse events will be reported to the Ethics Approval Committee of Xiyuan Hospital of China Academy of Chinese Medical Sciences within 24 hours. If an adverse event occurs in the clinical trial, the committee of medical experts will determine whether it is related to the experimental drug and further decide whether to terminate the treatment based on the patient’s condition. Other unintended effects of study interventions and study conduct will also be recorded and reported.
Frequency and plans for auditing trial conduct {23}
The Capital’s Funds for Health Improvement and Research and the Ethics Approval Committee of Xiyuan Hospital of China Academy of Chinese Medical Sciences will meet once a year to review trial conduct.
Plans for communicating important protocol amendments to relevant parties (e.g. trial participants, ethical committees) {25}
We will notify the Ethics Approval Committee of Xiyuan Hospital of China Academy of Chinese Medical Sciences and the Capital’s Funds for Health Improvement and Research when there are important changes in the study process such as the change of the sample size.
Dissemination plans {31a}
The final results will be submitted to the Capital’s Funds for Health Improvement and Research in the form of a research report. Trial results will be disseminated via peer-reviewed publications and scientific conferences /meetings.