Clinical Study for Objectification of Abdominal Examination with Functional Dyspepsia - Epigastric Diagnosis using Algometer

Article information

J Korean Med. 2022;43(1):1-5
Publication date (electronic) : 2022 March 1
doi : https://doi.org/10.13048/jkm.22001
1Department of Internal Medicine, Weedahm Korean Medical Hospital
2Department of Internal Medicine, Gangnam Weedahm Korean Medical Hospital
3Wooje Research Institute for Integrative Medicine
Correspondence to: 최규호 (Gyu-Ho Choi), 서울시 강남구 대치4동, 910-1 위담한방병원, Tel : +82-2-556-1133, Fax: +82-2-556-0839, E-mail : hiro9582@hanmail.net
Received 2021 July 19; Revised 2021 September 4; Accepted 2021 September 23.

Abstract

Objectives

Using algometer, measure the pressure pain threshold (PPT) of the epigastric pain(心下痞硬) and calculate the cut-off value, and this can serve as the basis for prognostic diagnosis of functional dyspepsia so we would like to evaluate its diagnostic value.

Methods

We investigated 353 patients with functional dyspepsia symptoms who admitted Gangnam Weedahm Oriental Hospital from February 1, 2021 to February 27, 2021. At the time of the patient's visit, an oriental medical doctor measured the pressure at the first pain point on the Algometer of (CV14), twice each, at 1minute intervals. The ROC (receiver operating characteristic) curve and the optimal cut-off value derived through the diagnosis of the (CV14) PPT value for epigastric pain(心下痞硬) and the gold standard of oriental medical doctor, it was evaluated through.

Results

In 353 patients, the area under the ROC curve (AUC) was 0.909 (p=0). In addition, the optimal cutting value was 10.05 (kg/cm2), which was statistically significant. Additionally, the sensitivity of the Algometer's PPT measurement was 0.704 and the specificity was 0.884. As a result, if the PPT value of the Algometer exceeds 10.05 (kg/cm2) in terms of the optimal cutting value, it can be seen that epigastric pain(心下痞硬) is lost.

Conclusion

Algometer's PPT value measurement can be a reliable test method for quantification of epigastric pain(心下痞硬) diagnosis and can be useful as an objective indicator.

Fig. 1

Algometer

Fig. 2

ROC curve of PPT value on CV14

Baseline Characteristics of Subjects

Pattern of Symptoms

References

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Article information Continued

Fig. 1

Algometer

Fig. 2

ROC curve of PPT value on CV14

Table 1

Baseline Characteristics of Subjects

Sum (man : woman) Age(yr) Height(cm) Weight(kg) BMI(kg/m2)
353 (110 : 243) 57.3±13.4 159.4±5.2 57.8±9.8 22.8±1.9

Table 2

Pattern of Symptoms

PDS EPS Other symptoms
epigastric discomfort feeling bloated burping heart burn epigastric pain chest discomfort chest pain reflux headache dizziness
N (%) 276 (78.2) 276 (78.2) 264 (74.8) 166 (47.0) 135 (38.2) 255 (72.2) 126 (35.7) 160 (45.3) 163 (46.2) 126 (34.0)