TY - JOUR
T1 - Diurnal variation in the association between the scan frequency of isCGM and CGM metrics
T2 - post hoc analysis of the ISCHIA study
AU - The ISCHIA Study Group
AU - Meguro, Shu
AU - Sakane, Naoki
AU - Hosoda, Kiminori
AU - Hirota, Yushi
AU - Itoh, Arata
AU - Kato, Ken
AU - Kodani, Noriko
AU - Kuroda, Akio
AU - Matsuhisa, Munehide
AU - Miura, Junnosuke
AU - Shimada, Akira
AU - Tone, Atsuhito
AU - Toyoda, Masao
AU - Murata, Takashi
AU - Fukunaga, Michiru
AU - Kouyama, Kunichi
AU - Tanaka, Tsuyoshi
AU - Tenta, Masafumi
AU - Matsushita, Yuichi
AU - Takeda, Masaya
AU - Iseda, Izumi
AU - Hida, Kazuyuki
AU - Nagao, Toshihiko
AU - Taniguchi, Ryoko
AU - Tanaka, Natsuko
AU - Abe, Kentaro
AU - Hitaka, Yumi
AU - Matoba, Yuka
AU - Katsuno, Tomoyuki
AU - Kusunoki, Yoshiki
AU - Fukuda, Tetsuya
AU - Shimizu, Ikki
AU - Tsuchiya, Tami
AU - Yagi, Kazuma
AU - Sugiyama, Kazutoshi
AU - Yamaguchi, Shintaro
AU - Kinouchi, Kenichiro
AU - Inaishi, Jun
AU - Nakajima, Yuya
AU - Mitsuishi, Masanori
AU - Tanaka, Masami
AU - Irie, Junichiro
AU - Saisho, Yoshifumi
AU - Itoh, Hiroshi
AU - Kawashima, Satoshi
AU - Haisa, Akifumi
AU - Satomura, Atsushi
AU - Oikawa, Yoichi
AU - Saito, Nobumichi
AU - Kimura, Moritsugu
N1 - Publisher Copyright:
© The Japan Diabetes Society 2024.
PY - 2024/10
Y1 - 2024/10
N2 - Background and aims: To investigate the association between the frequency of intermittent-scanning continuous glucose monitoring (isCGM) and diurnal variation of time in range (TIR), time above range (TAR), and time below range (TBR), we performed a post hoc analysis of the ISCHIA study, a multicenter, prospective, open-label, randomized crossover study of patients with type 1 diabetes mellitus. Method: Data of 93 people who completed the ISCHIA study were used. We calculated scan frequency, TAR, TIR, and TBR of four approximately 6-h intervals: 6:00–11:59 (morning), 12:00–17:59 (afternoon), 18:00–23:59 (evening), and 0:00–5:59 (night). The correlation between scan frequency and diurnal variation of CGM metrics was analyzed using nonparametric Spearman correlation analysis. Results: More frequent scanning was associated with higher TIR in the afternoon (rho = 0.343, P < 0.001), evening (rho = 0.243, P = 0.019), and night (rho = 0.218, P = 0.036); furthermore, it was associated with lower TAR in the afternoon (rho = -0.275, P = 0.008) and TBR in the evening (rho = -0.235, P = 0.024). Concern about the effect of blood glucose fluctuation on social communication affected the number of scans during the day. Concerns about loneliness and hypoglycemia when alone also influenced the number of nighttime scans. Conclusion: Scan frequency is influenced by psychological factors. Afternoon scans were associated with the highest increase in TIR and decrease in TAR. Evening scans were linked to a reduction in TBR.
AB - Background and aims: To investigate the association between the frequency of intermittent-scanning continuous glucose monitoring (isCGM) and diurnal variation of time in range (TIR), time above range (TAR), and time below range (TBR), we performed a post hoc analysis of the ISCHIA study, a multicenter, prospective, open-label, randomized crossover study of patients with type 1 diabetes mellitus. Method: Data of 93 people who completed the ISCHIA study were used. We calculated scan frequency, TAR, TIR, and TBR of four approximately 6-h intervals: 6:00–11:59 (morning), 12:00–17:59 (afternoon), 18:00–23:59 (evening), and 0:00–5:59 (night). The correlation between scan frequency and diurnal variation of CGM metrics was analyzed using nonparametric Spearman correlation analysis. Results: More frequent scanning was associated with higher TIR in the afternoon (rho = 0.343, P < 0.001), evening (rho = 0.243, P = 0.019), and night (rho = 0.218, P = 0.036); furthermore, it was associated with lower TAR in the afternoon (rho = -0.275, P = 0.008) and TBR in the evening (rho = -0.235, P = 0.024). Concern about the effect of blood glucose fluctuation on social communication affected the number of scans during the day. Concerns about loneliness and hypoglycemia when alone also influenced the number of nighttime scans. Conclusion: Scan frequency is influenced by psychological factors. Afternoon scans were associated with the highest increase in TIR and decrease in TAR. Evening scans were linked to a reduction in TBR.
KW - Continuous glucose monitoring metrics: time in range
KW - Intermittent-scanning continuous glucose monitoring
KW - Time above range
KW - Time below range
KW - Type 1 diabetes mellitus
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U2 - 10.1007/s13340-024-00749-y
DO - 10.1007/s13340-024-00749-y
M3 - Article
AN - SCOPUS:85201556102
SN - 2190-1678
VL - 15
SP - 828
EP - 836
JO - Diabetology International
JF - Diabetology International
IS - 4
ER -