Infrared Thermography-based Study of the Warming Effect Difference at Waist

the investigators will design a 2×2 randomized controlled trial, divided into four groups according to different acupoints (Weizhong and Chize) and different interventions (acupuncture and moxibustion). Patients will be randomized to one of the four treatment arms: (1) AW group: acupuncture at Weizhong point, (2) AC group: acupuncture at Chize point, (3) MW group: moxibustion at Weizhong point, (4) MC group: moxibustion at Chize point. All groups receive the intervention for 30 minutes. This trial will be carried out in the Third Affiliated Hospital of Zhejiang Chinese Medical University. the investigators will measure the average temperature difference of the lumbar region, the average temperature difference of the first lateral line of the Bladder meridian, and the average temperature difference of the second lateral line of the bladder meridian at different time nodes (Pre-intervention, 0, 5, 10, 15, 20, 25, 30 minutes) in all groups.

the investigators used the change of the average temperature (ΔT) in lumbar region from baseline to 30 minutes after intervention as the main effect indicator to estimate the sample size. Sample size calculations are performed to determine the number of participants needed to detect effect sizes. According to previously published results[7, 8] and our preliminary data, the mean and SD of the average temperature difference are μ1 = 0.84 μ2 = 0.34, μ3 = 0.70, and μ4 = 0.20 in the Acu-BL40 group, Acu-LU5 group, Mox-BL40 group and Mox-LU5 group, respectively, with SD σ = 0.26. k represents the number of groups and equals 4 in this trial. Type I error of 5% (α = 0.05) and 80% power (β = 0.20). Estimating a 20% dropout rate during the study, a minimum of 140 total participants is needed to reach the target of 35 participants per group. The investigators will undertake subgroup analysis in BL40 group, according to the pilot study performed previously, although there are about 40% participants can fell the warmth at lumbar region, the ΔT in lumbar region is more significant than others, therefore, the investigators decide not to expand the sample size.

the investigators will recruit 140 eligible participants from Zhejiang Chinese Medical University with age above 18 years. The eligible patients must meet the following inclusion criteria as well as the exclusion criteria. Anticipants will be recruited through an advertisement at the university, and through flyers at several locations of the internet. Interested participants can contact the project leader (PL) through their therapist, by phone or mail. If an applicant meets the study criteria, he or she will be invited to the research.

Temperature detection and measurement Thermal images were obtained using the FLIR E53 camera (FLIR Systems, Inc., Wilsonville, OR, USA). This thermal camera has an infrared resolution of 240×180 pixels and a visible light resolution of 640×480 pixels. The FLIR E53 camera has a scene range temperature range of -20 °C to 650 °C and can detect temperature differences as small as 0.04 °C.

Make the FLIR E53 camera perpendicular to the observing area (pre-marked area and acupoints), from 80 cm. Each participant will be evaluated in a room with a constant temperature of 26°C and 40%-60% humidity. The first photograph will be taken after the participants have rested for 20 min, other photographs will be sequentially taken at 0, 5, 10, 15, 20, 25 and 30 minutes once acupuncture/moxibustion has started and right after the intervention has ended. Heat lamps and other extraneous heat sources are switched off to prevent incorrect measurements.

Thermal images will be analyzed in the FLIR Tools application by two observers. The specific area of interest at the waist as well as the acupoints are predefined and outlined in the normal VGA photograph. The FLIR Tools application allows for calculating the mean temperature in a selected area or line. The mean temperature of certain areas will be compared at different time nodes. The temperature difference between both areas was expressed as ΔT (℃). the investigators will calculate the interobserver reliability by comparing the ΔT value of both researchers.

Interventions. For better observation of temperature changes in the acupoints, KSE36A0R thermometer (Keshun Instrument Co., Ltd., Ningbo, China) will be placed near the acupoint to record the temperature.

This trial will be designed with two interventions of acupuncture and moxibustion, with two acupoints Weizhong (BL 40) and Chize (LU 5) for each intervention. Both acupuncture and moxibustion will be performed by the licensed doctors of traditional Chinese medicine with at least 2 years of experience. Both acupuncture and moxibustion treatment will only consist of 1 session treatment with 30 minutes. Nee dles and moxa will be removed if the patients suffer from any adverse events (AEs).

Adverse Events and Safety All adverse events (AEs) associated with acupuncture and moxibustion would be recorded during the treatment; these AEs include bleeding, hematoma, burns, fainting, serious pain, local infection, etcetera. During the trial, all unexpected adverse events (AEs) will be observed in detail and documented in CRFs. All AEs reported should be analyzed regardless of the investigators' assessments of causality. If serious adverse events happen, the researchers should report to the PL and ethics committee immediately, who will decide on whether the participant needs to withdraw from the study.

Data collection and management Having sought consent, the demographic and baseline characteristic data in CRFs will be completed by a specific RA who is masked to treatment allocation and trained to administer questionnaires in a standardized way. The data consists Gender, age, weight, height, frequency (weekly) of recent low back discomfort, acupuncture/ moxibustion treatment experience and baseline temperature in the waist. Outcome measurement will be measured by the outcome assessors after the intervention. RAs will conduct quality control of data collection and be responsible for data entry. The PL will be responsible for initial data cleaning, identifying, coding, and conversion into the proper format for data analysis. All forms must be dated and signed by the responsible investigator or one of his/her authorized staff members.

Statistical analysis Intention-to-treat (ITT) analysis will be performed regardless of adherence. Microsoft Excel 2016 and IBM SPSS Statistics 23.0 (SPSS Inc., Chicago, IL, United States) will be used in data analysis. Continuous variables (e.g., age, body mass index, temperature, and intensity of warmth) will be represented as the mean ± standard deviation and compared using independent samples t tests. The investigators will use the chi-squared test to analyse the category variables (e.g., gender and sensation of warmth). A P-value alpha < 0.05 (two-sided) will be used to determine statistical significance. After examining the data for normality (Kolmogorov-Smirnov test), the outcome measures will be analysed using ANOVA (assuming normal distribution) or Kruskal-Wallis (non-parametric). Demographic characteristics and other baseline values will be described using descriptive statistics for each group. Subgroup analysis stratified by warming sensation questionnaire (YES or NO). Significant group interactions will be analysed post hoc.