Details

Autor(en) / Beteiligte

• Kuribayashi, Shiko
• Iwakiri, Katsuhiko
• Shinozaki, Tomohiro
• Hosaka, Hiroko
• Kawada, Akiyo
• Kawami, Noriyuki
• Hoshino, Shintaro
• Takenouchi, Nana
• Shimoyama, Yasuyuki
• Kawamura, Osamu
• Kusano, Motoyasu
• Uraoka, Toshio

Titel

Clinical impact of different cut-off values in high-resolution manometry systems on diagnosing esophageal motility disorders

Ist Teil von

• Journal of gastroenterology, 2019-12, Vol.54 (12), p.1078-1082

Ort / Verlag

Tokyo: Springer Japan

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Background The values of the parameters in the Chicago classification measured by a high-resolution manometry (HRM) system with the Unisensor catheter (Starlet) are significantly different from those measured by the ManoScan. The contraction vigor is categorized by values of the distal contractile integral (DCI) in the Chicago classification v3.0; however, reference values of the DCI in the Starlet and the clinical impact of the different reference values in the Starlet and ManoScan on diagnosing esophageal motility disorders are not known. Methods We evaluated data from a previous report in which ManoScan and Starlet were compared in the same subjects. The DCI values in each system were compared and reference DCI values were calculated. Moreover, diagnoses assessed by Starlet using reference values in ManoScan were compared with those using calculated reference values and those assessed by ManoScan. Results There was a significant positive correlation between the DCI values measured by ManoScan and those measured by Starlet ( r  = 0.80, p  < 0.01). Based on a linear functional relationship considering measurement errors, the reference DCI values for diagnosing failed, weak and hypercontractile contraction vigor were calculated as 590.6, 1011.3 and 10,085.8 mmHg-s-cm, respectively, in the Starlet. Therefore, the proposed reference values in the Starlet were 500, 1000 and 10,000 mmHg-s-cm, respectively. When the reference values in the ManoScan were used in the Starlet data, approximately 30% of subjects were diagnosed inappropriately. This issue was resolved using the proposed reference values in the Starlet. Conclusion Recognizing systemic differences in HRM systems is important.