• Journal of Sasang Constitutional Medicine
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• v.32 no.3
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• pp.18-32
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• 2020

Objectives In order to find out the relationship between the Eight Principle Pattern Identification of Cold-Heat, Deficiency-Excess and the Sasang constitution, we analyzed the clinical data from 500 women with menstrual pain and women without menstrual pain. Methods In the previous study, the subject's information of Typology Complexion Pulse and Symptom was collected, and Eight Principle Pattern Identification was executed based on this. Later, the relationship between the Sasang constitution and the Eight Principle Pattern Identification was statistically analyzed. Results and Conclusion 1. The obvious difference between the experimental group and the control group in the patterns of Cold-Heat and Deficiency-Excess is that patients who complain of menstrual pain do not maintain harmony with the yin-yang ratio, it can be said that the patterns of Cold-Heat and Deficiency-Excess can be a Identification standard that significantly obscures the condition of the disease. 2. There was a significant difference between the Sasang constitution and the Eight Principle Pattern Identification of Cold-Heat. There was no significant difference between the Sasang constitution and the Eight Principle Pattern Identification of Deficiency-Excess.

• The Journal of Internal Korean Medicine
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• v.34 no.3
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• pp.267-277
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• 2013

Objectives : The aim of this study was to investigate the correlation between Cold-Heat pattern tendency and demographic traits, physical character, and vital signs in hypertensive patients taking anti-hypertensive agents. Methods : 28 hypertensive patients 30 to 69 years old were recruited. We assessed their general characteristics, physical characteristics (height, weight, waist circumference, etc.), vital signs without respiratory rate (blood pressure, pulse rate, temperature) and administered a Cold-Heat pattern questionnaire. After that, we analyzed statistical data on separate groups according to Cold-Heat characteristics or other criteria. Results : 1. Heat group patients had statistically higher scores in waist, body mass index (BMI), waist circumference and pulse rate. 2. Over weighted group patients had statistically lower scores in cold Pattern Identification. 3. Higher BMI group (above 23/25) patients had statistically significantly higher Heat scores and lower Cold scores, higher waist circumference group patients had lower Cold scores. Conclusions : From the above result in hypertensive patients taking hypertensive agents, Heat group had a obesity tendency and the inverse is also valid. Later, progressed study based on more samples and varied data will contribute to diagnosis the Cold-heat Pattern identification in hypertensive patients.

• Journal of Physiology & Pathology in Korean Medicine
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• v.30 no.6
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• pp.466-473
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• 2016

This study intended to find out the most substantial items in cold and heat pattern identification(CHPI) questionnaire based on usual symptoms through CHPI diagnosis and evaluation by experts. 120 participants, faculties of OO university, filled out CHPI questionnaire based on usual symptoms by the way of self-reporting. Then 2 Korean Medicine doctors independently diagnosed them whether they belonged to cold pattern identification(PI) or heat PI, and scored the result of it. Pearson correlation of 2 experts was 0.649 in cold PI and 0.605 in heat PI. Agreement was 75.8%(Kappa value 0.516) in cold PI and 74.2%(Kappa value 0.465) in heat PI. Pearson correlation of 2 experts was 0.649 in cold PI and 0.605 in heat PI. Agreement between two experts was 75.8%(Kappa value 0.516) in cold PI and 74.2%(Kappa value 0.465) in heat PI. Items of high correlation with experts' evaluation followed next: "do not usually like the cold", "usually like the warm", "usually feel cold" in cold PI and "do not usually like the hot", "usually feel hot", "usually feel burning sensation in the body" in heat PI. We could infer from that facts that experts give weight on 'subjective feeling of cold or heat in participants body' and 'preference on sensation of cold and heat'. We also expect this study to be an epidemiological foundation to disclose correlation between usual CHPI and diseases.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.5
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• pp.553-562
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• 2013

This study was performed to develop cold-heat and deficiency-excess pattern identification for dementia, as well as for standard Korean medicine diagnosis and treatment. Five experts comprised of 4 neuropsychiatrists of Korean medicine and 1 statistician to develop cold-heat and deficiency-excess pattern identification for dementia. We searched studies about pattern identification and selected 507 articles using Oasis search terms provided by the KIOM. As a result, 10 pattern identification research study were recruited. Moreover, we analyzed neuropsychological assessments for dementia that evaluate Behavioral and Psychological Symptoms of Dementia (BPSD) and cognitive function using experts conferences and we selected neuropsychological instruments using pattern identification. Six cold patterns, six heat patterns, ten deficiency patterns, and four excess patterns were identified according to the cold-heat and deficiency-excess pattern identification of dementia. We selected the Caregiver-Administered Neuropsychiatric Inventory and the Korean Mini-Mental State Examination as neuropsychological assessments of dementia, which examine behavioral symptoms and cognitive function, suspectively. We formed positive and negative correlation between Korean medicine pattern identification and neuropsychological assessments for dementia. We developed and suggested a forecast module of pattern identification for dementia. But, it is necessary to perform additional clinical trials to verify its validity and accuracy.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.28 no.4
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• pp.1-11
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• 2015

Objective : The aim of this study was to suggest guidelines using Nasal endoscopy index for objective pattern identification in allergic rhinitis patients. we performed a clinical study to investigate the relationship between Nasal endoscopy index and Cold-heat pattern identification for allergic rhinitis patients.Methods : We assessed 32 patients with allergic rhinitis using Nasal endoscopy index and the patients filled in Cold-Heat pattern questionnaires. Then, we analyzed the relationship between Nasal endoscopy index and Cold-heat pattern identification.Results : Pale and watery rhinorrhea scores were positively correlated with Cold questionnaire score (P<0.05).Conclusion : The results suggest that pattern identification using nasal endoscopy for allergic rhinitis can be useful for assessing the diagnosis of Cold-heat pattern identification and deciding guidelines of treatment.Acknowledgments : This work was supported by a Grant of the Traditional Korean Medicine R&D Project, Ministry of Health and Welfare, Republic of Korea (HI12C1889 and HI13C0530).

• Journal of Physiology & Pathology in Korean Medicine
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• v.33 no.3
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• pp.163-168
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• 2019

In order to enhance the 8 principle pattern diagnosis rate comparing with diagnostic method by self-report questionnaire on cold/heat pattern in the clinical practice, a new diagnostic method using form-color-pulse-symptom (FCPS) system is proposed. FCPS system is composed of outputs of cold/heat pattern through the calculation process of contribution degree to the cold, heat pattern and qi, blood, yin, yang deficiency patterns, based on analysis of 16 mechanisms of disease calculated by diagnostic system of oriental medicine (DSOM) first. And second component is an output of differentiated 8 principle patterns in detail through binding and calculating process with digital informations of pulse, color, form, constitution obtained by computerized measurement system. Putting together above two processes consecutively, cold-heat complex or true/false cold/heat patterns and personalized characters of cold/heat patterns of each patient can be subdivided through a computation method of determining each pattern. In conclusion, 8 principle pattern identification can be performed more accurately using FCPS system than existent self report questionnaire method. These hypothetic proposal is needed to be proven by clinical trial for the future and then the accurate numbers used in each calculational function should be revised properly.

• The Journal of Korean Medicine
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• v.42 no.1
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• pp.1-11
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• 2021

Objectives: This pilot study aimed to evaluate the agreement between traditional face-to-face Korean medicine (KM) pattern identification and non-face-to-face KM pattern identification using the data from related questionnaires, tongue image, and pulse features in patients with cancer. Methods: From January to June 2020, 16 participants with a cancer diagnosis were recruited at the one Korean medicine hospital. Three experienced Korean medicine doctors independently diagnosed the participants whether they belong to the cold pattern or not, heat pattern or not, deficiency pattern or not, and excess pattern or not. Another researcher collected KM pattern related data using questionnaires including Cold-Heat Pattern Identification (CHPI), tongue image analysis system, and pulse analyzer. Collected KM pattern related data without participants' identifier was provided for the three Korean medicine doctors in random order, and non-face-to-face KM pattern identification was carried out. The kappa value between face-to-face and non-face-to-face pattern identification was calculated. Results: From the face-to-face pattern identification, there were 13/3 cold/non-cold pattern, 4/12 heat/non-heat pattern, 14/2 deficiency/non-deficiency pattern, and 0/16 excess/non-excess pattern participants. In cold/non-cold pattern, kappa value was 0.455 (sensitivity: 0.85, specificity: 0.67, accuracy: 0.81). In heat/non-heat pattern, the kappa value was 0.429 (sensitivity: 0.75, specificity: 0.72, accuracy: 0.75). The kappa value of deficiency/non-deficiency and excess/non-excess pattern was not calculated because of the few participants of non-deficiency, and excess pattern. Conclusions: The agreement between traditional face-to-face pattern identification and non-face-to-face pattern identification seems to be moderate. The non-face-to-face pattern identification using questionnaires, tongue, and pulse features may feasible for the large clinical study.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.2
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• pp.145-152
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• 2017

The purpose of this study was to investigate the clinical research of Cold-Heat of pattern identification(PI) focused on quantitative indicators for general people in Korea, through the review of OASIS, KISS, DBpia, NDSL database. Ten clinical researches were analyzed in this study. These research gradually started from 2004 to 2009 but there was no research after 2010. Diagnosis of Cold-Heat PI all was done through a questionnaire, 7 or most researches had not used the intervention methods. Quantitative indicators related to the Cold-Heat PI mentioned in the selected 10 researches are seven, these indicators include heart rate variability(HRV), electroencephalogram, Yangdorak, respiratory index, electrogastrography, acoustic analysis index, western health test index. Related to the HRV were 3 researches, but correlation of significant indicators was a few levels(R=0.026-0.090). So far, studies regarding at the quantitative indicators of the prior the Cold-Heat PI were few, and the results of the study showed that low statistical precision, a lack of biological basis. Refer to the current state, in the future, we expect that research of quantitative indicators of scientific evidence-based through calculated and precise research concerning Cold-Heat PI be regarded as important in Korean Medicine.

• Journal of Physiology & Pathology in Korean Medicine
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• v.30 no.2
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• pp.116-123
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• 2016

This study was performed to develop questionnaire of cold-heat pattern identification(PI) based on usual symptoms for general people, and we analyzed reliability of the questionnaire. We reviewed cold-heat PI questionnaire of advanced research and selected twenty-three items through three time experts meeting. Three hundred and fifty nine healthy subjects were joined in this study. As a results, Cronbach's α of cold-heat PI questionnaire was 0.79 and 0.83. According to the factor analysis about fifteen-chosen cold-heat PI questionnaires, each cold-heat consisted of two factors and each Convergence was 56.46% and 65.93%. Intra-class Correlation Coefficient was 0.67-0.83. Based on the median of samples of primary source, we classified subjects into four category as Cold, Heat, No Cold-Heat, and Cold-heat complex. We examined agreement of diagnosis and coefficient of kappa, and agreement rate of diagnosis was 64.2%, and coefficient of kappa was 0.51. Based on research result, we expect that validity study about questionnaire of cold-heat PI based on usual symptoms will be continued, and hope to be used as subsidiary diagnosis in clinical practice.

• Journal of Oriental Neuropsychiatry
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• v.26 no.3
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• pp.283-292
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• 2015

Objectives: The study aimed to test the validity and reliability of the questionnaire for cold-heat & deficiency-excess pattern identification of dementia and establish a new version of the questionnaire. Methods: Mean, standard deviation, skewness, internal consistency, correlation and t-test of the 26 items derived from previous study was analyzed in 20 dementia patients. The items with Cronbach-${\alpha}$ coefficient below 0.7 were modified. Thus, we established a new version of the questionnaire consisting of 20 items. Results: Cronbach-${\alpha}$ of each cold, heat, deficiency and excess questionnaire was 0.662, -0.229, 0.722 and 0.778, respectively. The correlation coefficient between cold, heat, deficiency and excess was less than 0.4 and correlation coefficient between dementia and cold, deficiency was 0.518. On t-test, the t-value of cold, deficiency and dementia was -2.196. Conclusions: The results indicated that cold-heat, deficiency-excess questionnaires showed satisfactory discriminant validity. In addition, there was correlation between dementia and cold, deficiency. Finally, we established a new version of the questionnaire for cold-heat, deficiency-excess pattern identification that consisted of 20 items.