@article{oai:soar-ir.repo.nii.ac.jp:00020888, author = {Sakurai, Kazunori and Kawai, Yuko and Yamazaki, Masanori and Komatsu, Mitsuhisa}, issue = {12}, journal = {JOURNAL OF DIABETES AND ITS COMPLICATIONS}, month = {Dec}, note = {Available online 13 September 2018, Aims: Continuous glucose monitoring (CGM) is not available for all patients with type 2 diabetes (T2D) at risk of nocturnal hypoglycemia (NH).This study was performed to predict the lowest nocturnal blood glucose (LNBG) levels. Methods: An LNBG prediction formula was developed by multivariate analysis using the data including self-monitoring of blood glucose from a formula making (FM) group of 29 insulin-treated T2D patients with CGM. The validity of the formula was assessed by nonparametric regression analysis of actual and predicted values in a formula validation group consisting of 21 other insulin-treated patients. The clinical impact on prediction was evaluated using a Parkes error grid. Results: In the FM group with a median age of 64.0, the following formula was established: Predicted LNBG (mg/dL) = 127.4-0.836 x Age (y) + 0.119 x Self-monitored fasting blood glucose (mg/dL) + 0.717 x Basal insulin dose (U/day) (standard error of calibration 17.2 mg/dL). Based on the validation results, standard error of prediction was 31.0 mg/dL All predicted values fell within zones A (no effect on clinical action) and B (little or no effect on clinical outcome) on the grid. Conclusions: LNBG could be predicted, and may be helpful for NH prevention. (C) 2018 Elsevier Inc. All rights reserved., Article, JOURNAL OF DIABETES AND ITS COMPLICATIONS. 32(12):1118-1123 (2018)}, pages = {1118--1123}, title = {Prediction of lowest nocturnal blood glucose level based on self-monitoring of blood glucose in Japanese patients with type 2 diabetes}, volume = {32}, year = {2018} }