Diabetes Research and Clinical Practice - Volume 120 - Supplement 1 - October 2016

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evaluating the blood glucose level and enhance the manage-
ment of postprandial blood glucose.
PG-05
Metformin for patients under iodine-based contrast medium
Hsiao-Huai KUO 1*, Chia-Wen HSIEH1, Mei-Ling HUNG 1,
Yen-Ling LIN 1 , Kai Hsun LO1, Ya-Tzu HU1. 1Mackay Memorial
Hospital, Hsinchu, Taiwan
Background & Aim: Metformin is the first choice for diabetes
having no contraindication. Metformin is metabolized by
kidney. Studies indicate that the risk of contrast media-
induced nephropathy is higher for diabetes with renal impair-
ment than those with normal renal function. Considering the
risk of contrast-induced nephropathy, patients who take
metformin should use iodine-based contrast medium care-
fully. According to ESUR Guidelines on Contrast Media (2011),
“ patients receiving intravenous contrast mediumwith an eGFR
between 30 and 44 mL/min/1.73 m 2 should stop metformin
48 h before contrast medium and should only restart metfor-
min 48 h after contrast medium if renal function has not
deteriorated. For patients with eGFR less than 30 mL/min/
1.73 m 2 (CKD 4 and 5) …, metformin is contraindicated and
iodine-based contrast media should be avoided.” The aim of
this study is to investigate the compliance with ESUR
Guidelines in our hospital.
Methods: A retrospective study was conducted. We started a
chart review among patients who used both metformin and
intravenous iodine-based contrast medium from June to
November 2015. The information collected includes: date of
examination on iodine-based contrast medium, eGFR level,
date of eGFR measurement, and nephropathy events if any.
Results: 148 results were analyzed, in which 6 patients had
eGFR within 30 –45 mL/min/1.73 m2 and 1 patient had eGFR
below 30 mL/min/1.73 m 2, and the 7 patients used both
metformin and iodine-based contrast medium. 3 of the 7
patents were examined urgently. Therefore, they did not
discontinue taking metformin. There were other 5 patients
who did not measure their renal functions within the 6
months before examination and still took the examination
using iodine-based contrast medium. No contrast media-
induced nephropathy was found.
Conclusion: Education for doctors and patients is important
for preventing contrast media-induced nephropathy. For
doctors, it is needed to measure patients ’ renal function
before and after the examination using iodine-based contrast
medium for patients who take metformin. A reminder toolbar
may be established via computer system to automatically
remind doctors to measure patient ’s renal function when the
patient attends an examination. Additionally, it is required to
provide enough information to patients before and after
examination. Education handouts should include (1) the risk
of contrast media-induced nephropathy; (2) the timing of
stopping and restarting metformin; (3) the importance of
drinking sufficient water; and (4) contact information for
consultation when adverse reactions happen. Providing infor-
mation through APPs of smartphones can also be considered.
Providing education case by case can also improve safe use of
medication.
PG-06
Analysis of correlation between eating speed and blood
glucose control among diabetic patients from a medical center
in southern Taiwan
Shu-mei CHEN 1*. 1Division of Metabolism, Chang Gung Medical
Foundation, Taiwan
Objective: This study is to probe patients’ eating speed ’s effect
on their blood glucose andweight control, as well as the factors
for the effect.
Method: Between December 21st and 31st, 2015, during the
nutritionist health education session, diabetic patients of
Metabolism Department of our hospital were randomly
selected. Using questionnaire, nutritionists assessed data of
the patients’ dietary carbohydrate consumption collected
based on their recollection of their diet for the past 24 hours.
Eventually 200 patients’ data were collected. With patients
doing exercises, using insulin or not sticking to one diet
portion regularly excluded, 69 patients regularly having three
portions of carbohydrate for dinner were selected. They were
grouped up into five by their eating speeds. The data were
analyzed by ANOVA.
Result:
1. The questionnaire shows male patients’ eating speed is
faster than female patients’. The speed difference is
statistically significant and correlated with gender.
2. Groups 1 and 2 have the fastest eating speeds, where their
patients’ average glycated hemoglobin levels and BMI
levels are higher than those of three other groups. Possible
factors are as follows:
1. Groups 1 and 2 have the highest average age and
proportions of patients with full dentures, which is
statistically significant and correlated with their
eating speed.
2. Groups 1 and 2 have relatively lower education levels,
which is statistically significant and correlated with
their eating speed.
3. Groups 1 and 2 have the largest in-work population,
which is statistically significant and correlated with
their eating speed.
Conclusion: Diabetic patients’ eating speed has an effect
on their blood glucose level and weight control. The factors
for the effect are correlated with gender, age, education level,
employment status and the presence of denture.
PG-07
Analysis of the effectiveness of patients’ self-management of
exercise and control of blood glucose
Shu-mei CHEN1*. 1Division of Metabolism, Chang Gung Medical
Foundation, Taiwan
Purpose: To investigate the effectiveness of exercise on blood
glucose and weight control in patients.
Method: 1,170 patients in the TQIP were randomly
recruited from the outpatient Division of Metabolism &
Endocrinology at the hospital from January 2015 to March
2015. Retrospective chart review was conducted to screen
patients’ drugs and diets and only stable patients with no
changes within one year were included. 281 patients met the
criteria and were screened into 230 with regular exercise and
51 without regular exercise.
Results: 1. Glycated hemoglobin fell from 7.21% to 6.78%
(P < 0.001) in the continued exercise group after 1 year. 2. 79%
exercised for≧150 minutes per week and glycated hemoglobin
fell from 7.12% to 6.75% (P < 0.001) in this group after 1 year;
10% exercised for ≧90 minutes and <150 minutes (P < 0.001)
and glycated hemoglobin fell from 7.54% to 6.94% after 1 year;
11% exercised for >90 minutes per week and A1C fell from
7.48% to 6.89% (P < 0.079) after 1 year. 3. Average weight of
subjects in the no exercise group was 68.73 kg and decreased
by 0.52 kg (P < 0.33) after 1 year; average weight of subjects in
the exercise group was 67.71 kg and decreased by 0.91 kg after
1 year (P < 0.25).
Conclusion: As a healthcare educator, improving patients’
willingness to exercise is a major challenge. Without any other
influencing factors, if subjects exercise for over 90 minutes per
week in frequency, it will be significant for controlling blood
glucose and glycated hemoglobin and body weight will also
remain stable.
Poster Presentations / Diabetes Research and Clinical Practice 120S1 (2016) S65–S211 S161