2.Acute effects of meteorological conditions on asthma frequencies.
Shuji SUZUKI ; Kenji TADOKORO ; Yasushi YUKIYAMA ; Fujio TAKEUCHI ; Terumasa MIYAMOTO ; Toshinari KAMAKURA
The Journal of The Japanese Society of Balneology, Climatology and Physical Medicine 1986;49(3):139-149
Records on every 6 hour symptom were kept for the period from July 15 through November 30, 1983 by 19, 19 and 26 patients who were outpatients at the Sapporo Civil Hospital, the University of Tokyo Hospital and the University of Ryukyu Hospital. Every 6 hour fluctuations in percentage of asthmatic symptoms were calculated from these records.
Meteorological conditions prevailing each city were classified into 9 patterns, i. e., west-high-east-low pattern, north-high pattern, south-high-north-low pattern, east-high-west-low pattern, ridge pattern, trough pattern (east-west), migratory anticyclone pattern, trough pattern (south-north) and tropical depression pattern.
An asthma frequency (AF)in days under a certain type of meteorological conditions was compared with that in all the other days. Asthmatic symptoms were more frequent in the days under west-high-east-low pattern and those under migratory anticyclone pattern were also higher. An AF in days under south-high-north-low pattern and that in days under trough pattern (east-west) were lower.
Most of days under west-high-east-low pattern were in late autumn in each of the 3 cities. The temperature of the days in Tokyo under this pattern were lower than the control days which belonged to the same period. Days under migratory anticyclone pattern were in the whole period of this study in Sapporo, in autumn in Tokyo and Naha. The temperature of these days in Sapporo and Tokyo was significantly lower than those of the control days.
Most of days under south-high-north-low pattern were in summer in each of the 3 cities. The temperature of the days in Tokyo under this pattern was significantly higher than those of the controls. Days under trough pattern (east-west) were from late summer to autumn in Naha. There was no difference in the temperature between the days under this pattern and the control days.
In summary, some of meteorological conditions had acute effects on asthma frequencies. When significant differences were observed in the temperature, it was lower (higher) in the days under a meteorological condition, under which the asthma frequency was high (low), than in the control days which belonged to the same period.
3.Comparison of Glucose Area Under the Curve Measured Using Minimally Invasive Interstitial Fluid Extraction Technology with Continuous Glucose Monitoring System in Diabetic Patients.
Mei UEMURA ; Yutaka YANO ; Toshinari SUZUKI ; Taro YASUMA ; Toshiyuki SATO ; Aya MORIMOTO ; Samiko HOSOYA ; Chihiro SUMINAKA ; Hiromu NAKAJIMA ; Esteban C GABAZZA ; Yoshiyuki TAKEI
Diabetes & Metabolism Journal 2017;41(4):265-274
BACKGROUND: Continuous glucose monitoring (CGM) is reported to be a useful technique, but difficult or inconvenient for some patients and institutions. We are developing a glucose area under the curve (AUC) monitoring system without blood sampling using a minimally invasive interstitial fluid extraction technology (MIET). Here we evaluated the accuracy of interstitial fluid glucose (IG) AUC measured by MIET in patients with diabetes for an extended time interval and the potency of detecting hyperglycemia using CGM data as a reference. METHODS: Thirty-eight inpatients with diabetes undergoing CGM were enrolled. MIET comprised a pretreatment step using a plastic microneedle array and glucose accumulation step with a hydrogel patch, which was placed on two sites from 9:00 AM to 5:00 PM or from 10:00 PM to 6:00 AM. IG AUC was calculated by accumulated glucose extracted by hydrogel patches using sodium ion as standard. RESULTS: A significant correlation was observed between the predicted AUC by MIET and CGM in daytime (r=0.76) and nighttime (r=0.82). The optimal cutoff for the IG AUC value of MIET to predict hyperglycemia over 200 mg/dL measured by CGM for 8 hours was 1,067.3 mg·hr/dL with 88.2% sensitivity and 81.5% specificity. CONCLUSION: We showed that 8-hour IG AUC levels using MIET were valuable in estimating the blood glucose AUC without blood sampling. The results also supported the concept of using this technique for evaluating glucose excursion and for screening hyperglycemia during 8 hours in patients with diabetes at any time of day.
Area Under Curve
;
Blood Glucose
;
Diabetes Mellitus
;
Extracellular Fluid*
;
Glucose*
;
Humans
;
Hydrogel
;
Hyperglycemia
;
Inpatients
;
Mass Screening
;
Plastics
;
Sensitivity and Specificity
;
Sodium