Author: "Miyazawa, Itsuko" - Searchworks@Jio Institute Digital Library Search Results

121 results on '"Miyazawa, Itsuko"'

1. Complete remission of diabetes with a transient HDAC inhibitor and insulin in streptozotocin mice

Author: Kojima, Hideto, Katagi, Miwako, Okano, Junko, Nakae, Yuki, Ohashi, Natsuko, Fujino, Kazunori, Miyazawa, Itsuko, and Nakagawa, Takahiko
Published: 2023
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2. Annual trends in glycemic control and prescribing patterns in diabetic treatment according to age in Japanese patients with type 2 diabetes between 2012 and 2019 (JDDM 71)

Author: Miyazawa, Itsuko, Yokoyama, Hiroki, Yagi, Noriharu, Araki, Shin-ichi, Morino, Katsutaro, Kume, Shinji, Shirabe, Shinichirou, Yamazaki, Katsuya, and Maegawa, Hiroshi
Published: 2023
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3. Eighteen-year trends in the management of patients with diabetes in the Shiga Diabetes Clinical Survey: overall trends and differences by age group

Author: Miyazawa, Itsuko, Maegawa, Hiroshi, Kadota, Aya, Nakamura, Takashi, Konishi, Makoto, Ochi, Shinichi, Miura, Katsuyuki, and Okamoto, Motozumi
Published: 2022
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4. Metabolic changes induced by dapagliflozin, an SGLT2 inhibitor, in Japanese patients with type 2 diabetes treated by oral anti-diabetic agents: A randomized, clinical trial

Author: Horibe, Kayo, Morino, Katsutaro, Miyazawa, Itsuko, Tanaka-Mizuno, Sachiko, Kondo, Keiko, Sato, Daisuke, Ohashi, Natsuko, Ida, Shogo, Yanagimachi, Tsuyoshi, Yoshimura, Masahiro, Itoh, Ryuta, Murata, Kiyoshi, Miura, Katsuyuki, Arima, Hisatomi, Fujita, Yukihiro, Ugi, Satoshi, and Maegawa, Hiroshi
Published: 2022
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5. Glycemic control and number of natural teeth: analysis of cross-sectional Japanese employment-based dental insurance claims and medical check-up data

Author: Harada, Kayo, Morino, Katsutaro, Ishikawa, Miki, Miyazawa, Itsuko, Yasuda, Takako, Hayashi, Mayu, Ishikado, Atsushi, and Maegawa, Hiroshi
Published: 2022
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6. Alcohol drinking and brain morphometry in apparently healthy community-dwelling Japanese men

Author: Horie, Minoru, Nakagawa, Yoshihisa, Yamamoto, Takashi, Nakano, Yasutaka, Ogawa, Emiko, Maegawa, Hiroshi, Morino, Katsutaro, Miyazawa, Itsuko, Watanabe, Yoshiyuki, Nozaki, Kazuhiko, Tooyama, Ikuo, Shiino, Akihiko, Andoh, Akira, Tsuru, Teruhiko, Ogita, Hisakazu, Miyamatsu, Naomi, Nakamura, Yasuyuki, Kadota, Aya, Kondo, Keiko, Torii, Sayuki, Kadowaki, Takashi, Kadowaki, Sayaka, Suzuki, Sentaro, Ito, Takahiro, Kunimura, Ayako, Segawa, Hiroyoshi, Fujiyoshi, Akira, Higashiyama, Aya, Okamura, Tomonori, Azuma, Koichiro, Sawamura, Tatsuya, Igase, Michiya, Tabara, Yasuharu, Sekikawa, Akira, Barinas-Mitchell, Emma J.M., Edmundowicz, Daniel, Ohkubo, Takayoshi, Hozawa, Atsushi, Murakami, Yoshitaka, Okuda, Nagako, Arima, Hisatomi, Satoh, Atsushi, Kita, Yoshikuni, Hisamatsu, Takashi, Yanagita, Masahiko, Abbott, Robert D., Ohno, Seiko, Takashima, Naoyuki, Miyagawa, Naoko, Zaid, Maryam, Saito, Yoshino, Syaifullah, Ali Haidar, Moniruzzaman, Mohammad, Waki, Takashi, Ueshima, Hirotsugu, and Miura, Katsuyuki
Published: 2021
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7. Liver fat accumulation assessed by computed tomography is an independent risk factor for diabetes mellitus in a population-based study: SESSA (Shiga Epidemiological Study of Subclinical Atherosclerosis)

Author: Fuse, Keiko, Kadota, Aya, Kondo, Keiko, Morino, Katsutaro, Fujiyoshi, Akira, Hisamatsu, Takashi, Kadowaki, Sayaka, Miyazawa, Itsuko, Ugi, Satoshi, Maegawa, Hiroshi, Miura, Katsuyuki, and Ueshima, Hirotsugu
Published: 2020
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8. Relationship between carbohydrate and dietary fibre intake and the risk of cardiovascular disease mortality in Japanese: 24-year follow-up of NIPPON DATA80

Author: Miyazawa, Itsuko, Miura, Katsuyuki, Miyagawa, Naoko, Kondo, Keiko, Kadota, Aya, Okuda, Nagako, and Fujiyoshi, Akira
Subjects: Fiber in human nutrition -- Health aspects, Carbohydrates -- Health aspects, Cardiovascular diseases -- Risk factors, Food/cooking/nutrition, Health
Abstract: Background/Objectives The association between carbohydrate intake and cardiovascular disease (CVD) risk has been investigated, but whether the quality of carbohydrate is more important than its amount is not known. We examined the associations between intake of dietary fibre (DF), carbohydrate, available carbohydrate, and starch with long-term CVD mortality in a Japanese population. Subjects/Methods We prospectively followed 8925 participants (3916 men and 5009 women) aged 30-79 years without CVD at baseline who participated in the National Nutrition Survey in Japan. Cox proportional hazards models were used to estimate multivariable-adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs) for CVD mortality by quartiles of exposure variables. Results During 24 years of follow-up, 823 CVD deaths were observed. In men, the multivariable-adjusted HR for CVD mortality was lower in the highest quartile of DF intake (HR: 0.64; 95% CI: 0.47-0.87; P.sub.trend = 0.007) compared with the lowest quartile. This association was not significant in women. Multivariable-adjusted HR for total stroke mortality was lower in the highest quartile of DF intake (HR: 0.61; 95% CI: 0.38-0.98; P.sub.trend = 0.046) compared with the lowest quartile in women. Carbohydrate, available carbohydrate, and starch intake were not associated with CVD mortality. Conclusions Higher intake of DF was associated significantly with a lower risk of CVD mortality in men and lower risk of stroke mortality in women. Intake of carbohydrate, available carbohydrate, and starch were not associated with the risk of CVD mortality in men or women., Author(s): Itsuko Miyazawa [sup.1] , Katsuyuki Miura [sup.2] [sup.3] , Naoko Miyagawa [sup.2] [sup.4] , Keiko Kondo [sup.2] , Aya Kadota [sup.2] [sup.3] , Nagako Okuda [sup.5] , Akira Fujiyoshi [...]
Published: 2020
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9. Malfunctioning CD106-positive, short-term hematopoietic stem cells trigger diabetic neuropathy in mice by cell fusion

Author: Katagi, Miwako, Terashima, Tomoya, Ohashi, Natsuko, Nakae, Yuki, Yamada, Akane, Nakagawa, Takahiko, Miyazawa, Itsuko, Maegawa, Hiroshi, Okano, Junko, Suzuki, Yoshihisa, Fujino, Kazunori, Eguchi, Yutaka, and Kojima, Hideto
Published: 2021
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10. Aberrant bone marrow-derived microglia in the hypothalamus may dysregulate appetite in diabetes

Author: Katagi, Miwako, primary, Nakae, Yuki, additional, Okano, Junko, additional, Fujino, Kazunori, additional, Tanaka, Tomoki, additional, Miyazawa, Itsuko, additional, Ohashi, Natsuko, additional, Nakagawa, Takahiko, additional, and Kojima, Hideto, additional
Published: 2023
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11. INTERACTION OF COMORBID HYPERTENSION AND SEX ON OCCURRENCE OF MILD COGNITIVE IMPAIRMENT IN OUTPATIENTS WITH DIABETES MELLITUS: A 6-YEAR FOLLOW-UP STUDY

Author: Miyamatsu, Naomi, primary, Kiyohara, Maiko, additional, Kawahara, Mizuki, additional, Morino, Katsutaro, additional, Miyazawa, Itsuko, additional, Fujita, Yukihiro, additional, Shima, Azusa, additional, Maegawa, Hiroshi, additional, and Ogita, Mihoko, additional
Published: 2023
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12. Lifetime cigarette smoking is associated with abdominal obesity in a community-based sample of Japanese men: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA)

Author: Fujiyoshi, Akira, Miura, Katsuyuki, Kadowaki, Sayaka, Azuma, Koichiro, Tanaka, Sachiko, Hisamatsu, Takashi, Arima, Hisatomi, Kadota, Aya, Miyagawa, Naoko, Takashima, Naoyuki, Ohkubo, Takayoshi, Saitoh, Yoshino, Torii, Sayuki, Miyazawa, Itsuko, Maegawa, Hiroshi, Murata, Kiyoshi, and Ueshima, Hirotsugu
Published: 2016
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13. Associations of serum LDL particle concentration with carotid intima-media thickness and coronary artery calcification

Author: Ueshima, Hirotsugu, Miura, Katsuyuki, Horie, Minoru, Nakano, Yasutaka, Yamamoto, Takashi, Ogawa, Emiko, Maegawa, Hiroshi, Miyazawa, Itsuko, Murata, Kiyoshi, Mitsunami, Kenichi, Nozaki, Kazuhiko, Shiino, Akihiko, Araki, Isao, Tsuru, Teruhiko, Toyama, Ikuo, Ogita, Hisakazu, Kurita, Souichi, Maeda, Toshinaga, Miyamatsu, Naomi, Kita, Toru, Kimura, Takeshi, Nishio, Yoshihiko, Nakamura, Yasuyuki, Okamura, Tomonori, Sekikawa, Akira, Barinas-Mitchell, Emma J.M., Edmundowicz, Daniel, Ohkubo, Takayoshi, Hozawa, Atsushi, Okuda, Nagako, Higashiyama, Aya, Nagasawa, Shinya, Kita, Yoshikuni, Murakami, Yoshitaka, Kadota, Aya, Fujiyoshi, Akira, Takashima, Naoyuki, Kadowaki, Takashi, Kadowaki, Sayaka, Abbott, Robert D., Ohno, Seiko, Arima, Hisatomi, Hisamatsu, Takashi, Miyagawa, Naoko, Torii, Sayuki, Saito, Yoshino, Zaid, Maryam, Suzuki, Sentaro, and Ito, Takahiro
Published: 2016
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14. Renal sinus fat volume on computed tomography in middle-aged patients at risk for cardiovascular disease and its association with coronary artery calcification

Author: Murakami, Yoko, Nagatani, Yukihiro, Takahashi, Masashi, Ikeda, Mitsuru, Miyazawa, Itsuko, Morino, Katsutaro, Ohkubo, Takayoshi, Maegawa, Hiroshi, Nitta, Norihisa, Sakai, Hiroshi, Nota, Hiromitsu, Ushio, Noritoshi, and Murata, Kiyoshi
Published: 2016
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15. Abstract P671: Association Between Renal Function and Silent Cerebrovascular Disease in Japanese Men

Author: Miyagawa, Naoko, primary, Takashima, Naoyuki, additional, Kadota, Aya, additional, Fujiyoshi, Akira, additional, Torii, Sayuki, additional, Segawa, Hiroyoshi, additional, Miyazawa, Itsuko, additional, Kume, Shinji, additional, Kondo, Keiko, additional, Hisamatsu, Takashi, additional, Yano, Yuichiro, additional, Shiino, Akihiko, additional, Nozaki, Kazuhiko, additional, Ueshima, Hirotsugu, additional, and Miura, Katsuyuki, additional
Published: 2023
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16. Trends in medical performance in diabetic patients in primary care clinics compared with those in hospitals: Shiga Diabetes Clinical Survey, Japan, 2000–2012

Author: Miyazawa, Itsuko, Kadota, Aya, Okamoto, Motozumi, Miura, Katsuyuki, Maegawa, Hiroshi, Ohnishi, Atsuo, Kashiwagi, Atsunori, Shigenaga, Masayuki, Orita, Yuichi, Otaka, Tsuyoshi, Mizuno, Nobuisa, Hukumoto, Hirohumi, Miura, Takamasa, Nishida, Yasuhiro, Takashima, Naoyuki, Ueshima, Hirotsugu, Yoshitoku, Katsuhito, Yano, Hideki, Konishi, Makoto, Noda, Hideki, Nishimura, Masataka, Kamiuchi, Kenji, Iwanishi, Masanori, Kawamura, Hideo, Ochiai, Naoya, Shimosaka, Yukimasa, Morita, Jun, and For the Shiga Diabetes Clinical Survey Group
Published: 2017
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17. Real-world evidence of the impact of obesity on residual teeth in the Japanese population: A cross-sectional study

Author: Hayashi, Mayu, primary, Morino, Katsutaro, additional, Harada, Kayo, additional, Miyazawa, Itsuko, additional, Ishikawa, Miki, additional, Yasuda, Takako, additional, Iwakuma, Yoshie, additional, Kazushi, Yamamoto, additional, Motonobu, Matsumoto, additional, Hiroshi, Maegawa, additional, and Atsushi, Ishikado, additional
Published: 2022
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18. Relationship between Kidney Function and Subclinical Atherosclerosis Progression Evaluated by Coronary Artery Calcification

Author: Ganbaatar, Namuun, primary, Kadota, Aya, additional, Hisamatsu, Takashi, additional, Araki, Shin-Ichi, additional, Kume, Shinji, additional, Fujiyoshi, Akira, additional, Kadowaki, Sayaka, additional, Torii, Sayuki, additional, Kondo, Keiko, additional, Segawa, Hiroyoshi, additional, Salman, Ebtehal, additional, Miyazawa, Itsuko, additional, Yamamoto, Takashi, additional, Nakagawa, Yoshihisa, additional, Maegawa, Hiroshi, additional, Miura, Katsuyuki, additional, and Ueshima, Hirotsugu, additional
Published: 2022
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19. Association between serum soluble TNFα receptors and renal dysfunction in type 2 diabetic patients without proteinuria

Author: Miyazawa, Itsuko, Araki, Shin-ichi, Obata, Toshiyuki, Yoshizaki, Takeshi, Morino, Katsutaro, Kadota, Aya, Ugi, Satoshi, Kawai, Hiromichi, Uzu, Takashi, Nishio, Yoshihiko, Koya, Daisuke, Haneda, Masakazu, Kashiwagi, Atsunori, and Maegawa, Hiroshi
Published: 2011
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20. Association of Alcohol Consumption With Fat Deposition in a Community-Based Sample of Japanese Men: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA)

Author: Sumi, Masaki, Hisamatsu, Takashi, Fujiyoshi , Akira, Kadota, Aya, Miyagawa, Naoko, Kondo, Keiko, Kadowaki, Sayaka, Suzuki , Sentaro, Torii, Sayuki, Zaid Maryam, Sato, Atsushi, Arima, Hisatomi, Terada, Tomohiro, Miura, Katsuyuki, Ueshima , Hirotsugu, Horie Minoru, Nakano Yasutaka, Yamamoto Takashi, Hayashi Hideki, Ogawa Emiko, Maegawa Hiroshi, Miyazawa Itsuko, Murata Kiyoshi, Mitsunami Kenichi, Nozaki Kazuhiko, Tooyama Ikuo, Shiino Akihiko, Tsuru Teruhiko, Ogita Hisakazu, Shimizu Akio, Miyamatsu Naomi, Kita Toru, Kimura Takeshi, Nishio Yoshihiko, Nakamura Yasuyuki, Okamura Tomonori, Sekikawa Akira, Barinas-Mitchell Emma J. M., Edmundowicz Daniel, Ohkubo Takayoshi, Hozawa Atsushi, Murakami Yoshitaka, Okuda Nagako, Arima Hisatomi, Kita Yoshikuni, Hisamatsu Takashi, Higashiyama Aya, Nagasawa Shinya, Azuma Koichiro, Yanagita Masahiko, Abbott Robert D., Kadota Aya, Ohno Seiko, Fujiyoshi Akira, Takashima Naoyuki, Kadowaki Takashi, Kadowaki Sayaka, Miyagawa Naoko, Kondo Keiko, Torii Sayuki, Saito Yoshino, Suzuki Sentaro, Ito Takahiro, Satoh Atsushi, and Yamazoe Masahiro
Subjects: Adult, Male, medicine.medical_specialty, Alcohol Drinking, Epidemiology, alcohol consumption, Population, Adipose tissue, 030209 endocrinology & metabolism, Intra-Abdominal Fat, 03 medical and health sciences, 0302 clinical medicine, Japan, Internal medicine, medicine, Humans, 030212 general & internal medicine, visceral adipose tissue, Adverse effect, education, Nutrition, Aged, lcsh:R5-920, education.field_of_study, Anthropometry, business.industry, anthropometric obesity indice, Confounding, nutritional and metabolic diseases, General Medicine, Middle Aged, medicine.disease, fat deposition, Obesity, Subcutaneous Fat, Abdominal, Epidemiologic Studies, Cross-Sectional Studies, Population Surveillance, Original Article, lcsh:Medicine (General), Tomography, X-Ray Computed, business, Body mass index
Abstract: Background: Excessive alcohol intake has been shown to be associated with cardiovascular disease via metabolic pathways. However, the relationship between alcohol intake and obesity has not been fully elucidated. We aimed to examine the association of alcohol consumption with fat deposition and anthropometric measures. Methods: From 2006–2008, we conducted a cross-sectional study in a population-based sample of Japanese men aged 40 through 79 years. Areas of abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were calculated using computed tomography imaging. Based on a questionnaire, we classified participants into five groups according to weekly alcohol consumption, excluding former drinkers: non-drinkers (0 g/week), 0.1–160.9, 161–321.9, 322–482.9, and ≥483 g/week. Multivariable linear regression was used to estimate adjusted means of obesity indices for each group. Results: We analyzed 998 men (mean age and body mass index [BMI], 63.8 years and 23.6 kg/m2, respectively). Higher weekly alcohol consumption was strongly and significantly associated with higher abdominal VAT area, percentage of VAT, and VAT-to-SAT ratio (all P for trend
Published: 2019
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21. Differences Between Coronary Artery Calcification and Aortic Artery Calcification in Relation to Cardiovascular Disease Risk Factors in Japanese Men

Author: Kimani Cecilia, Kadota Aya, Miura Katsuyuki, Fujiyoshi Akira, Zaid Maryam, Kadowaki Sayaka, Hisamatsu Takashi, Arima Hisatomi, Horie Minoru, Ueshima Hirotsugu, Yamamoto Takashi, Maegawa Hiroshi, Murata Kiyoshi, Nozaki Kazuhiko, Shiino Akihiko, Toyama Ikuo, Tsuru Teruhiko, Ogita Hisakazu, Takashima Naoyuki, Kadowaki Takashi, Miyamatsu Naomi, Miyagawa Naoko, Torii Sayuki, Hayashi Hideki, Nakano Yasutaka, Ogawa Emiko, Miyazawa Itsuko, Shimizu Akio, Abbott Robert D., Kondo Keiko, Suzuki Sentaro, Ito Takahiro, Andoh Akira, Kunimura Ayako, Nishio Yoshihiko, Mitsunami Kenichi, Kita Toru, Kimura Takeshi, Tabara Yasuharu, Nakamura Yasuyuki, Okamura Tomonori, Sekikawa Akira, Barinas-Mitchell Emma J. M., Ohkubo Takayoshi, Kita Yoshikuni, Murakami Yoshitaka, Hozawa Atsushi, Okuda Nagako, Higashiyama Aya, Ohno Seiko, Nagasawa Shinya, Yamazo Masahiro, Saito Yoshino, Edmundowicz Daniel, Satoh Atsushi, Azuma Koichiro, Yanagita Masahiko, Sawamura Tatsuya, and Igase Michiya
Subjects: Adult, Male, medicine.medical_specialty, Aortic Diseases, Renal function, Blood lipids, Coronary Artery Disease, 030204 cardiovascular system & hematology, Coronary artery, Logistic regression, Calcification, 03 medical and health sciences, 0302 clinical medicine, Japan, Internal medicine, Internal Medicine, Humans, Medicine, cardiovascular diseases, Vascular Calcification, Generalized estimating equation, Aorta, Aged, 2. Zero hunger, business.industry, Incidence, Biochemistry (medical), nutritional and metabolic diseases, Odds ratio, Middle Aged, Prognosis, medicine.disease, Coronary Vessels, Aortic artery, Cardiovascular diseases, Risk factors, 3. Good health, Blood pressure, Cardiology, Original Article, Cardiology and Cardiovascular Medicine, business, Body mass index, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Aims: Calcification in the coronary and aortic arteries has been linked to cardiovascular morbidity and mortality. The pathophysiological influence of aortic artery calcification (AAC) differs from that of coronary artery calcification (CAC). We aimed to compare the relationships between CAC and AAC and cardiovascular disease (CVD) risk factors. Methods: We examined a random sample of 1035 Japanese men aged 40–79 years. CAC and AAC were measured by computed tomography and scored according to the Agatston method. Using a logistic regression, we calculated the odds ratio (OR) as being in the highest quintile (Q5) of the calcification score compared to the lower quintiles (Q1–Q4) per 1 standard deviation higher CVD risk factor. Models were simultaneously adjusted for age, body mass index (BMI), systolic blood pressure, smoking (pack-year), alcohol intake, hemoglobin A1c, uric acid, estimated glomerular filtration rate (eGFR), serum lipids, and C-reactive protein. Differences in ORs were investigated using a generalized estimating equation. We performed a multiple linear regression using log-transformed CAC and AAC values as dependent variables. Results: CAC and AAC were independently associated with age (OR, 95% CI: 2.30 [1.77–2.98] for CAC and 3.48 [2.57–4.73] for AAC), p for difference < 0.001), systolic blood pressure (1.29 [1.08–1.53] and 1.28 [1.07–1.54], p for difference = 0.270), and smoking (1.22, [1.04–1.43] and 1.34 [1.13–1.58]) p for difference = 0.071). Alcohol correlated with AAC only (1.17 [0.97–1.41] for CAC and 1.42 [1.16–1.73] for AAC, p for difference = 0.020). Conclusions: CAC and AAC were associated with similar CVD risk factors. The strength of association slightly differed between CAC and AAC.
Published: 2019

22. Glycemic control and number of natural teeth: analysis of cross-sectional Japanese employment-based dental insurance claims and medical check-up data

Author: Harada, Kayo, primary, Morino, Katsutaro, additional, Ishikawa, Miki, additional, Miyazawa, Itsuko, additional, Yasuda, Takako, additional, Hayashi, Mayu, additional, Ishikado, Atsushi, additional, and Maegawa, Hiroshi, additional
Published: 2021
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23. HIGH NORMAL BLOOD PRESSURE CAN CAUSE DECLINE OF ATTENTION FUNCTION AMONG ELDERLY OUT-PATIENTS WITH DIABETES: SHIP-FD 5-YEAR FOLLOW-UP STUDY

Author: Miyamatsu, Naomi, primary, Murata, Shin, additional, Okamoto, Tomoko, additional, Ichikawa, Mizuki, additional, Azuma, Saori, additional, Sumimoto, Yuka, additional, Tatsumi, Yukako, additional, Shima, Azusa, additional, Morino, Katsutaro, additional, Miyazawa, Itsuko, additional, Ugi, Satoshi, additional, Maegawa, Hiroshi, additional, and Ogita, Mihoko, additional
Published: 2021
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24. Proteinuria and Reduced Estimated Glomerular Filtration Rate are Independently Associated With Lower Cognitive Abilities in Apparently Healthy Community-Dwelling Elderly Men in Japan: A Cross-sectional Study

Author: Fujiyoshi Akira, Miura Katsuyuki, Ohkubo Takayoshi, Miyagawa Naoko, Saito Yoshino, Miyazawa Itsuko, Shiino Akihiko, Kadota Aya, Kadowaki Sayaka, Hisamatsu , Takashi, Torii , Sayuki, Takashima, Naoyuki, Tooyama, Ikuo, Ueshima, Hirotsugu, Fujiyoshi Akira, Miura Katsuyuki, Ohkubo Takayoshi, Miyagawa Naoko, Saito Yoshino, Miyazawa Itsuko, Shiino Akihiko, Kadota Aya, Kadowaki Sayaka, Hisamatsu , Takashi, Torii , Sayuki, Takashima, Naoyuki, Tooyama, Ikuo, and Ueshima, Hirotsugu
Published: 2020

25. Alcohol drinking and brain morphometry in apparently healthy community-dwelling Japanese men

Author: Syaifullah, Ali Haidar, primary, Shiino, Akihiko, additional, Fujiyoshi, Akira, additional, Kadota, Aya, additional, Kondo, Keiko, additional, Ito, Takahiro, additional, Segawa, Hiroyoshi, additional, Moniruzzaman, Mohammad, additional, Waki, Takashi, additional, Miyagawa, Naoko, additional, Tooyama, Ikuo, additional, Ueshima, Hirotsugu, additional, Miura, Katsuyuki, additional, Horie, Minoru, additional, Nakagawa, Yoshihisa, additional, Yamamoto, Takashi, additional, Nakano, Yasutaka, additional, Ogawa, Emiko, additional, Maegawa, Hiroshi, additional, Morino, Katsutaro, additional, Miyazawa, Itsuko, additional, Watanabe, Yoshiyuki, additional, Nozaki, Kazuhiko, additional, Andoh, Akira, additional, Tsuru, Teruhiko, additional, Ogita, Hisakazu, additional, Miyamatsu, Naomi, additional, Nakamura, Yasuyuki, additional, Torii, Sayuki, additional, Kadowaki, Takashi, additional, Kadowaki, Sayaka, additional, Suzuki, Sentaro, additional, Kunimura, Ayako, additional, Higashiyama, Aya, additional, Okamura, Tomonori, additional, Azuma, Koichiro, additional, Sawamura, Tatsuya, additional, Igase, Michiya, additional, Tabara, Yasuharu, additional, Sekikawa, Akira, additional, Barinas-Mitchell, Emma J.M., additional, Edmundowicz, Daniel, additional, Ohkubo, Takayoshi, additional, Hozawa, Atsushi, additional, Murakami, Yoshitaka, additional, Okuda, Nagako, additional, Arima, Hisatomi, additional, Satoh, Atsushi, additional, Kita, Yoshikuni, additional, Hisamatsu, Takashi, additional, Yanagita, Masahiko, additional, Abbott, Robert D., additional, Ohno, Seiko, additional, Takashima, Naoyuki, additional, Zaid, Maryam, additional, and Saito, Yoshino, additional
Published: 2021
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26. Impact of obesity on underreporting of energy intake in type 2 diabetic patients: Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study

Author: Miyazawa, Itsuko, primary, Morino, Katsutaro, additional, Fuse, Keiko, additional, Kondo, Keiko, additional, Ohi, Akiko, additional, Nishida, Kaori, additional, Kurihara, Mika, additional, Yasuhara, Shoko, additional, Nakanishi, Naoko, additional, Nishida, Yuki, additional, Nakae, Satoshi, additional, Yamada, Yosuke, additional, Tanaka, Shigeho, additional, Ebine, Naoyuki, additional, Sasaki, Satoshi, additional, Katsukawa, Fuminori, additional, Sasaki, Masaya, additional, Ugi, Satoshi, additional, and Maegawa, Hiroshi, additional
Published: 2020
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27. Proteinuria and Reduced Estimated Glomerular Filtration Rate are Independently Associated With Lower Cognitive Abilities in Apparently Healthy Community-Dwelling Elderly Men in Japan: A Cross-sectional Study

Author: Fujiyoshi, Akira, primary, Miura, Katsuyuki, additional, Ohkubo, Takayoshi, additional, Miyagawa, Naoko, additional, Saito, Yoshino, additional, Miyazawa, Itsuko, additional, Shiino, Akihiko, additional, Kadota, Aya, additional, Kadowaki, Sayaka, additional, Hisamatsu, Takashi, additional, Torii, Sayuki, additional, Takashima, Naoyuki, additional, Tooyama, Ikuo, additional, and Ueshima, Hirotsugu, additional
Published: 2020
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28. 1607-P: Real-World Evidence of the Impact of Obesity on Residual Teeth in the Japanese Population

Author: HAYASHI, MAYU, primary, MORINO, KATSUTARO, additional, HARADA, KAYO, additional, ISHIKAWA, MIKI, additional, MIYAZAWA, ITSUKO, additional, TAKAKO, YASUDA, additional, ISHIKADO, ATSUSHI, additional, and MAEGAWA, HIROSHI, additional
Published: 2020
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29. The Prognosis of Patients With Type 2 Diabetes and Nonalbuminuric Diabetic Kidney Disease Is Not Always Poor: Implication of the Effects of Coexisting Macrovascular Complications (JDDM 54)

Author: Yokoyama, Hiroki, primary, Araki, Shin-ichi, additional, Kawai, Koichi, additional, Yamazaki, Katsuya, additional, Shirabe, Shin-ichiro, additional, Sugimoto, Hidekatsu, additional, Minami, Masae, additional, Miyazawa, Itsuko, additional, and Maegawa, Hiroshi, additional
Published: 2020
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30. Impact of Glycaemic Control on the Number of Teeth Remaining: A Cross-Sectional Analysis Using a Database Containing Japanese Employment-Based Health Insurance and Check-Up Data

Author: Harada, Kayo, primary, Morino, Katsutaro, additional, Ishikawa, Miki, additional, Miyazawa, Itsuko, additional, Yasuda, Takako, additional, Hayashi, Mayu, additional, Ishikado, Atsushi, additional, and Maegawa, Hiroshi, additional
Published: 2020
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31. Total energy expenditure is comparable between patients with and without diabetes mellitus: Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) Study

Author: Morino, Katsutaro, Kondo, Keiko, Tanaka, Shigeho, Nishida, Yuki, Nakae, Satoshi, Yamada, Yosuke, Ugi, Satoshi, Fuse, Keiko, Miyazawa, Itsuko, Ohi, Akiko, Nishida, Kaori, Kurihara, Mika, Sasaki, Masaya, Ebine, Naoyuki, Sasaki, Satoshi, Katsukawa, Fuminori, and Maegawa, Hiroshi
Subjects: Male, Nutritional Requirements, physical activity, Middle Aged, Motor Activity, Prognosis, Metabolism, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Case-Control Studies, energy expenditure, Humans, Female, type 2 diabetes, Basal Metabolism, Energy Intake, Energy Metabolism, Biomarkers, Aged, Follow-Up Studies
Abstract: Objective Assessment of total energy expenditure (TEE) is essential for appropriate recommendations regarding dietary intake and physical activity in patients with and without diabetes mellitus (DM). However, few reports have focused on TEE in patients with DM, particularly in Asian countries. Therefore, we evaluated TEE in Japanese patients with DM using the doubly labeled water (DLW) method and physical activity level (PAL). Research design and methods In this cross-sectional observational study, we evaluated 52 patients with type 2 DM and 15 patients without DM. Free-living TEE was measured over 12–16 days by the DLW method, and PAL was calculated as TEE divided by the basal metabolic rate (BMR) as assessed by indirect calorimetry. The equivalence margin was defined as 5 kcal/kg/day. Results The numbers of patients with DM treated with insulin, oral antidiabetic drugs, and diet were 18 (34.6%), 20 (38.5%), and 14 (26.9%), respectively. The mean±SD level of glycated hemoglobin was 6.9%±0.8% and 5.5%±0.3% in the DM and non-DM group, respectively (p
Published: 2019

32. Abstract P382: Association of Passive Smoking Status to Endothelial Vascular Function Among General Japanese Women

Author: Kadota, Aya, primary, Kondo, Keiko, additional, Hisamatsu, Takashi, additional, Miyazawa, Itsuko, additional, Fujiyoshi, Akira, additional, Ueshima, Hirotsugu, additional, and Miura, Katsuyuki, additional
Published: 2019
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33. Preserving β-cell function is the major determinant of diabetes remission following laparoscopic sleeve gastrectomy in Japanese obese diabetic patients

Author: Ugi, Satoshi, primary, Morino, Katsutaro, additional, Yamaguchi, Tsuyoshi, additional, Yamamoto, Hiroshi, additional, Kaida, Sachiko, additional, Miyazawa, Itsuko, additional, Sato, Daisuke, additional, Sekine, Osamu, additional, Fujita, Yukihiro, additional, Kashiwagi, Atsunori, additional, Tani, Masaji, additional, and Maegawa, Hiroshi, additional
Published: 2019
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34. The Association between Glomerular Filtration Rate Estimated on Admission and Acute Stroke Outcome: The Shiga Stroke Registry

Author: Widhi Nugroho, Aryandhito, primary, Arima, Hisatomi, additional, Miyazawa, Itsuko, additional, Fujii, Takako, additional, Miyamatsu, Naomi, additional, Sugimoto, Yoshihisa, additional, Nagata, Satoru, additional, Komori, Masaru, additional, Takashima, Naoyuki, additional, Kita, Yoshikuni, additional, Miura, Katsuyuki, additional, and Nozaki, Kazuhiko, additional
Published: 2018
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35. Twelve-year trends of increasing overweight and obesity in patients with diabetes: the Shiga Diabetes Clinical Survey

Author: Miyazawa, Itsuko, primary, Kadota, Aya, additional, Miura, Katsuyuki, additional, Okamoto, Motozumi, additional, Nakamura, Takashi, additional, Ikai, Tsuyoshi, additional, Maegawa, Hiroshi, additional, and Ohnishi, Atsushi, additional
Published: 2018
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36. Abstract P221: Relationship of Dietary Carbohydrate and Fiber Intake to Risk of Cardiovascular Disease Mortality in Japanese: NIPPON DATA80

Author: Miyazawa, Itsuko, primary, Miura, Katsuyuki, additional, Miyagawa, Naoko, additional, Kondo, Keiko, additional, Kadota, Aya, additional, Okuda, Nagako, additional, Fujiyoshi, Akira, additional, Chihara, Izumi, additional, Nakamura, Yoshikazu, additional, Hozawa, Atsushi, additional, Kita, Yoshikuni, additional, Yoshita, Katsushi, additional, Okamura, Tomonori, additional, Okayama, Akira, additional, and Ueshima, Hirotsugu, additional
Published: 2017
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37. Abstract P014: Lower eGFR and Proteinuria Were Independently Associated With Lower Cognitive Abilities in Community-dwelling Men in Japan: SESSA study

Author: Fujiyoshi, Akira, primary, Ohkubo, Takayoshi, additional, Miura, Katsuyuki, additional, Shiino, Akihiko, additional, Miyagawa, Naoko, additional, Takashima, Naoyuki, additional, Saitoh, Yoshino, additional, Torii, Sayuki, additional, Kadota, Aya, additional, Kadowaki, Sayaka, additional, Hisamatsu, Takashi, additional, Miyazawa, Itsuko, additional, Tooyama, Ikuo, additional, and Ueshima, Hirotsugu, additional
Published: 2017
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38. Ipragliflozin, a sodium–glucose cotransporter 2 inhibitor, reduces bodyweight and fat mass, but not muscle mass, in Japanese type 2 diabetes patients treated with insulin: A randomized clinical trial.

Author: Inoue, Hideka, Morino, Katsutaro, Ugi, Satoshi, Tanaka‐Mizuno, Sachiko, Fuse, Keiko, Miyazawa, Itsuko, Kondo, Keiko, Sato, Daisuke, Ohashi, Natsuko, Ida, Shogo, Sekine, Osamu, Yoshimura, Masahiro, Murata, Kiyoshi, Miura, Katsuyuki, Arima, Hisatomi, and Maegawa, Hiroshi
Subjects: SODIUM-glucose cotransporters, MUSCLE mass, TYPE 2 diabetes, CLINICAL trials, PEOPLE with diabetes, BODY mass index, IPRAGLIFLOZIN
Abstract: Aims/Introduction: Sodium–glucose cotransporter 2 inhibitors reduce bodyweight (BW) by creating a negative energy balance. Previous reports have suggested that this BW reduction is mainly loss of body fat and that ~20% of the reduction is lean mass. However, the effects of sodium–glucose cotransporter 2 inhibitors on BW and body composition remain unclear. We examined these effects in Japanese patients with type 2 diabetes mellitus treated with insulin. Materials and Methods: In this open‐label, randomized controlled trial, 49 overweight patients (body mass index ≥23 kg/m2) with inadequate glycemic control (hemoglobin A1c >7.0%) receiving insulin treatment were randomly assigned to receive add‐on ipragliflozin or no additional treatment (control group). Patients were followed for 24 weeks. The goal for all patients was to achieve glycated hemoglobin <7.0% without hypoglycemia. The primary end‐point was a change in BW from baseline to week 24. Body composition was assessed with dual‐energy X‐ray absorptiometry and bioelectrical impedance analysis. Results: BW change was significantly larger in the ipragliflozin group than in the control group (−2.78 vs −0.22 kg, P < 0.0001). Total fat mass was reduced evenly in the arms, lower limbs and trunk in the ipragliflozin group. Total muscle mass and bone mineral content were maintained, but muscle mass in the arms might have been affected by ipragliflozin treatment. Conclusions: Ipragliflozin treatment for 24 weeks resulted in reduced BW, mainly from fat mass loss. Muscle mass and bone mineral content were maintained. Further study is necessary to elucidate the long‐term effects of ipragliflozin. [ABSTRACT FROM AUTHOR]
Published: 2019
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39. Associations of serum LDL particle concentration with carotid intima-media thickness and coronary artery calcification

Author: Zaid, Maryam, primary, Miura, Katsuyuki, additional, Fujiyoshi, Akira, additional, Abbott, Robert D., additional, Hisamatsu, Takashi, additional, Kadota, Aya, additional, Arima, Hisatomi, additional, Kadowaki, Sayaka, additional, Torii, Sayuki, additional, Miyagawa, Naoko, additional, Suzuki, Sentaro, additional, Takashima, Naoyuki, additional, Ohkubo, Takayoshi, additional, Sekikawa, Akira, additional, Maegawa, Hiroshi, additional, Horie, Minoru, additional, Nakamura, Yasuyuki, additional, Okamura, Tomonori, additional, Ueshima, Hirotsugu, additional, Nakano, Yasutaka, additional, Yamamoto, Takashi, additional, Ogawa, Emiko, additional, Miyazawa, Itsuko, additional, Murata, Kiyoshi, additional, Mitsunami, Kenichi, additional, Nozaki, Kazuhiko, additional, Shiino, Akihiko, additional, Araki, Isao, additional, Tsuru, Teruhiko, additional, Toyama, Ikuo, additional, Ogita, Hisakazu, additional, Kurita, Souichi, additional, Maeda, Toshinaga, additional, Miyamatsu, Naomi, additional, Kita, Toru, additional, Kimura, Takeshi, additional, Nishio, Yoshihiko, additional, Barinas-Mitchell, Emma J.M., additional, Edmundowicz, Daniel, additional, Hozawa, Atsushi, additional, Okuda, Nagako, additional, Higashiyama, Aya, additional, Nagasawa, Shinya, additional, Kita, Yoshikuni, additional, Murakami, Yoshitaka, additional, Kadowaki, Takashi, additional, Ohno, Seiko, additional, Saito, Yoshino, additional, Zaid, Maryam, additional, and Ito, Takahiro, additional
Published: 2016
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40. Smoking, Smoking Cessation, and Measures of Subclinical Atherosclerosis in Multiple Vascular Beds in Japanese Men

Author: Hisamatsu, Takashi, primary, Miura, Katsuyuki, additional, Arima, Hisatomi, additional, Kadota, Aya, additional, Kadowaki, Sayaka, additional, Torii, Sayuki, additional, Suzuki, Sentaro, additional, Miyagawa, Naoko, additional, Sato, Atsushi, additional, Yamazoe, Masahiro, additional, Fujiyoshi, Akira, additional, Ohkubo, Takayoshi, additional, Yamamoto, Takashi, additional, Murata, Kiyoshi, additional, Abbott, Robert D., additional, Sekikawa, Akira, additional, Horie, Minoru, additional, Ueshima, Hirotsugu, additional, Nakano, Yasutaka, additional, Ogawa, Emiko, additional, Maegawa, Hiroshi, additional, Miyazawa, Itsuko, additional, Mitsunami, Kenichi, additional, Nozaki, Kazuhiko, additional, Shiino, Akihiko, additional, Araki, Isao, additional, Tsuru, Teruhiko, additional, Toyama, Ikuo, additional, Ogita, Hisakazu, additional, Kurita, Souichi, additional, Maeda, Toshinaga, additional, Miyamatsu, Naomi, additional, Kita, Toru, additional, Kimura, Takeshi, additional, Nishio, Yoshihiko, additional, Nakamura, Yasuyuki, additional, Okamura, Tomonori, additional, Barinas‐Mitchell, Emma J.M., additional, Edmundowicz, Daniel, additional, Hozawa, Atsushi, additional, Okuda, Nagako, additional, Higashiyama, Aya, additional, Nagasawa, Shinya, additional, Kita, Yoshikuni, additional, Murakami, Yoshitaka, additional, Takashima, Naoyuki, additional, Kadowaki, Takashi, additional, Ohno, Seiko, additional, Kondo, Keiko, additional, Saito, Yoshino, additional, Zaid, Maryam, additional, Ito, Takahiro, additional, Shibukawa, Takeshi, additional, and Sumi, Masaki, additional
Published: 2016
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41. Relationship of Insulin Resistance to Prevalence and Progression of Coronary Artery Calcification Beyond Metabolic Syndrome Components

Author: Yamazoe, Masahiro, primary, Hisamatsu, Takashi, additional, Miura, Katsuyuki, additional, Kadowaki, Sayaka, additional, Zaid, Maryam, additional, Kadota, Aya, additional, Torii, Sayuki, additional, Miyazawa, Itsuko, additional, Fujiyoshi, Akira, additional, Arima, Hisatomi, additional, Sekikawa, Akira, additional, Maegawa, Hiroshi, additional, Horie, Minoru, additional, and Ueshima, Hirotsugu, additional
Published: 2016
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42. Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography

Author: Murakami, Yoko, primary, Nagatani, Yukihiro, additional, Takahashi, Masashi, additional, Ikeda, Mitsuru, additional, Miyazawa, Itsuko, additional, Morino, Katsutaro, additional, Ohkubo, Takayoshi, additional, Maegawa, Hiroshi, additional, Nitta, Norihisa, additional, Sakai, Hiroshi, additional, Nota, Hiromitsu, additional, Ushio, Noritoshi, additional, and Murata, Kiyoshi, additional
Published: 2016
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43. Abstract P134: Lifetime Cigarette Smoking is Associated with Increased Indices of Abdominal Obesity Independent of Body Mass Index: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA)

Author: Fujiyoshi, Akira, primary, Miura, Katsuyuki, additional, Kadowaki, Sayaka, additional, Kadota, Aya, additional, Ohkubo, Takayoshi, additional, Miyagawa, Naoko, additional, Hisamatsu, Takashi, additional, Yoshino, Saitoh, additional, Torii, Sayuki, additional, Miyazawa, Itsuko, additional, Mitsunami, Kenichi, additional, Maegawa, Hiroshi, additional, Murata, Kiyoshi, additional, and Ueshima, Hirotsugu, additional
Published: 2014
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44. Emerging acute unilateral pulmonary edema in a patient with pheochromocytoma

Author: Miyazawa, Itsuko, primary, Wada, Atsuyuki, additional, Sugimoto, Toshiro, additional, Nitta, Norihisa, additional, and Horie, Minoru, additional
Published: 2009
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45. Target for Glycemic Control in Type 2 Diabetic Patients on Hemodialysis: Effects of Anemia and Erythropoietin Injection on Hemoglobin A1c

Author: Uzu, Takashi, primary, Hatta, Tsuguru, additional, Deji, Naoko, additional, Izumiya, Tamani, additional, Ueda, Hisami, additional, Miyazawa, Itsuko, additional, Kanasaki, Masami, additional, Isshiki, Keiji, additional, Nishio, Toshiji, additional, and Arimura, Tetsuro, additional
Published: 2009
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46. Target for Glycemic Control in Type 2 Diabetic Patients on Hemodialysis: Effects of Anemia and Erythropoietin Injection on Hemoglobin A1c.

Author: Uzu, Takashi, Hatta, Tsuguru, Deji, Naoko, Izumiya, Tamani, Ueda, Hisami, Miyazawa, Itsuko, Kanasaki, Masami, Isshiki, Keiji, Nishio, Toshiji, and Arimura, Tetsuro
Abstract: In hemodialysis (HD) patients the glycated hemoglobin (HbA1c) level may underestimate glycemic control. The aim of this study is to estimate accurate glycemic control in type 2 diabetic patients on HD. Type 2 diabetes patients ( N = 87) who had been receiving maintenance HD for at least one year were enrolled. HbA1c and the percentage of glycated albumin relative to total the serum albumin (%GA) were measured in blood samples and the factors that affected the %GA/HbA1c ratio were examined. There were significant and positive correlations between the plasma glucose and either the HbA1c levels (r = 0.539, P < 0.01) or the %GA level (r = 0.520, P < 0.01). No relationship between the serum albumin levels and %GA levels was observed. A weekly dose of erythropoietin (EPO) was positively correlated with the ratio of %GA/HbA1c and hematocrit (Ht) correlated negatively. There was no significant correlation between the %GA/HbA1c level and the EPO dose in patients with Ht ≥ 30%, although a significant correlation was found between those parameters in the Ht < 30% group. The mean of the %GA/HbA1c ratios in patients with Ht ≥ 30%, with Ht < 30% and treated with EPO < 100 IU/kg/week, and with Ht < 30% and treated with EPO ≥ 100 IU/kg/week were 3.41, 3.56 and 4.13, respectively. In HD patients, accurate glycemic control may be estimated as: HbA1c × 1.14 if Ht ≥ 30%; HbA1c × 1.19 if Ht < 30% and treated with low dosages of EPO; and HbA1c × 1.38 if Ht < 30% and treated with high dosages of EPO. [ABSTRACT FROM AUTHOR]
Published: 2009
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47. 1192-P: Dapagliflozin Reduces Intrahepatic Triglyceride Content in Japanese Patients with Type 2 Diabetes Treated with Oral Antidiabetic Agents: A Randomized, Clinical Trial.

Author: MORINO, KATSUTARO, KONDO, KEIKO, TANAKA, SACHIKO, MIYAZAWA, ITSUKO, FUSE, KEIKO, IDA, SHOGO, ARIMA, HISATOMI, MIURA, KATSUYUKI, OHASHI, NATSUKO, UGI, SATOSHI, and MAEGAWA, HIROSHI
Abstract: Objective: SGLT2 inhibitors reduce body weight (BW) due to negative energy balance. Although previous reports suggested that SGLT2 inhibitor improved liver dysfunction and steatosis, the efficacy of SGLT2 inhibitor on intrahepatic triglyceride (IHTG) were merely quantified. Methods: The study was an open label randomized controlled trial. Fifty-two overweight patients (BMI > 23) who had inadequate glycemic control with oral antidiabetic agents were randomly assigned to dapagliflozin (Dapa) or standard treatment (Con) and followed for 24 weeks. The Primary endpoint was the change in BW from baseline to week 24 between the two groups. The secondary endpoint was IHTG which was assessed by magnetic resonance spectroscopy (MRS). Results: The change in BW was significantly larger in Dapa group compared to Con. The mean difference in changes between two groups was -1.72 kg (95% CI: -2.85, -0.59, p = 0.004) which was comparable with the previous studies of Caucasians. IHTG measured with MRS was significantly reduced in Dapa group (p = 0.033). Conclusion: Dapagliflozin treatment for 24 weeks resulted in reduction of BW and IHTG. These findings suggest the therapeutic potential of dapagliflozin for patients with NAFLD. Clinical study registration number: UMIN000020239. Disclosure: K. Morino: Research Support; Self; Astellas Pharma Inc., AstraZeneca, CMIC Pharma Science, Miki Corp., Ono Pharmaceutical Co., Ltd., Sunstar Inc. K. Kondo: None. S. Tanaka: None. I. Miyazawa: None. K. Fuse: None. S. Ida: None. H. Arima: Consultant; Self; Kyowa Hakko Kirin Co., Ltd. Speaker's Bureau; Self; Bayer Yakuhin, Ltd., Daiichi Sankyo Company, Limited, Takeda Pharmaceutical Company Limited, Teijin Pharma Limited. K. Miura: None. N. Ohashi: None. S. Ugi: None. H. Maegawa: Research Support; Self; Antares Pharma, Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. Speaker's Bureau; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. Funding: AstraZeneca; Ono Pharmaceutical Co., Ltd. [ABSTRACT FROM AUTHOR]
Published: 2019
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48. Empagliflozin in Patients with Chronic Kidney Disease

Author: Herrington, William G, Staplin, Natalie, Wanner, Christoph, Green, Jennifer B, Hauske, Sibylle J, Emberson, Jonathan R, Preiss, David, Judge, Parminder, Mayne, Kaitlin J, Ng, Sarah Y A, Sammons, Emily, Zhu, Doreen, Hill, Michael, Stevens, Will, Wallendszus, Karl, Brenner, Susanne, Cheung, Alfred K, Liu, Zhi-Hong, Li, Jing, Hooi, Lai Seong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Maggioni, Aldo P, Pontremoli, Roberto, Deo, Rajat, Goto, Shinya, Rossello, Xavier, Tuttle, Katherine R, Steubl, Dominik, Petrini, Michaela, Massey, Dan, Eilbracht, Jens, Brueckmann, Martina, Landray, Martin J, Baigent, Colin, Haynes, Richard, The EMPA-KIDNEY Collaborative Group: Colin Baigent, Martin J Landray, Christoph Wanner, William G Herrington, Richard Haynes, Jennifer B Green, Sibylle J Hauske, Martina Brueckmann, Mark Hopley, Maximillian von-Eynatten, Jyothis George, Susanne Brenner, Alfred K Cheung, David Preiss, Zhi-Hong Liu, Jing Li, Laiseong Hooi, Wen Liu, Takashi Kadowaki, Masaomi Nangaku, Adeera Levin, David Cherney, Roberto Pontremoli, Aldo P Maggioni, Natalie Staplin, Jonathan Emberson, Stefan Hantel, Shinya Goto, Rajat Deo, Katherine R Tuttle, Michael Hill, Parminder Judge, Kaitlin J Mayne, Sarah Y A Ng, Xavier Rossello, Emily Sammons, Doreen Zhu, Peter Sandercock, Rudolf Bilous, Charles Herzog, Paul Whelton, Janet Wittes, Derrick Bennett, Patricia Achiri, Chrissie Ambrose, Cristina Badin, Jill Barton, Richard Brown, Andy Burke, Sebastian Butler, Rejive Dayanandan, Pia Donaldson, Robert Dykas, Lucy Fletcher, Kate Frederick, Hannah Kingston, Mo Gray, Emily Harding, Akiko Hashimoto, Lyn Howie, Susan Hurley, Ryonfa Lee, Nik Luker, Kevin Murphy, Mariko Nakahara, John Nolan, Michelle Nunn, Sorcha Mulligan, Akiko Omata, Sandra Pickworth, YanRu Qiao, Shraddha Shah, Karen Taylor, Alison Timadjer, Monique Willett, Liz Wincott, Qin Yan, Hui Yu, Louise Bowman, Fang Chen, Robert Clarke, Michelle Goonasekera, Waseem Karsan, Marion Mafham, Christina Reith, Mohammed Zayed, Ritva Ellison, Rowan Moys, Will Stevens, Kevin Verdel, Karl Wallendszus, Chris Bowler, Anna Brewer, Andy Measor, Guanguo Cui, Charles Daniels, Angela Field, Bob Goodenough, Ashley Lawson, Youcef Mostefai, Dheeptha Radhakrishnan, Samee Syed, Shuang Xia, Ruth Adewuyi-Dalton, Thomas Arnold, Anne-Marie Beneat, Anoushka Bhatt, Chloe Bird, Andrew Breach, Laura Brown, Mark Caple, Tatyana Chavagnon, Karen Chung, Sarah Clark, Luminita Condurache, Katarzyna Eichstadt, Marta Espino Obrero, Scarlett Forest, Helen French, Nick Goodwin, Andrew Gordon, Joanne Gordon, Cat Guest, Tina Harding, Michal Hozak, Matthew Lacey, David MacLean, Louise Messinger, Stewart Moffat, Martin Radley, Claire Shenton, Sarah Tipper, Jon Tyler, Lesley Weaving, James Wheeler, Elissa Williams, Tim Williams, Hamish Woodhouse, Angela Chamberlain, Jo Chambers, Joanne Davies, Denise Donaldson, Pati Faria-Shayler, Denise Fleming-Brown, Jennifer Ingell, Carol Knott, Anna Liew, Helen Lochhead, Juliette Meek, Isabel Rodriguez-Bachiller, Andrea Wilson, Patrick Zettergren, Rach AitSadi, Ian Barton, Alex Baxter, Yonghong Bu, Lukasz Danel, Sonja Grotjahn, Rijo Kurien, Michael Lay, Archie Maskill, Aleksandra Murawska, Rachel Raff, Allen Young, Rebecca Sardell, Vladimir Cejka, Marcela Fajardo-Moser, Christian Hartner, Doris Poehler, Janina Renner, Franziska Scheidemantel, Miya Bryant, Anita Hepditch, Cassandra Johnson, Erin Latore, Yolanda Miller, Lauren Price, Merilee Whalen, Ashleigh Wheeler, Jenny Ingell, Yu An, Yinghua Chen, Peiling Chen, Hao Dai, Hong Du, Fang Feng, Qing Guo, Libo Hou, Wuhanbilige Hundei, Binbin Jin, Yan Li, Jiamin Liu, Xia Song, Yanping Wang, Yanwu Yu, Ning Zhang, Lingshan Zhao, Hui Zhong, Cheng Beng Goh, Ye Mun Low, Soon Yi Sor, Farah Hanis Zulkipli, Sarojini Sivanandam, Natsuki Arai, Ai Fukasawa, Mizue Furukawa, Keisuke Habuki, Shoko Hayashi, Wakako Isari, Saki Kanegae, Maria Kawai, Reiki Kobayashi, Takako Kuramae, Chika Kuribayashi, Sawako Maeno, Satoshi Masumoto, Tomoko Morisaki, Minoru Oda, Kazue Sawada, Kenta Sugamori, Ayana Tatsuzawa, Aiko Tomita, Kazuyuki Yuasa, Hiroko Inazawa, Amanda Axler, Kerri Gallo, Ester Baldini, Barbara Bartolomei Mecatti, Francesca Bianchini, Martina Ceseri, Laura Cipressa, Gianna Fabbri, Andrea Lorimer, Donata Lucci, Sharang Ghavampour, Anja Knoppe, Hans Schmidt-Gurtler, Hubert Dumann, Sybille Merscher, Margret Patecki, Georg Rainer Schlieper, Anke Torp, Bianca Weber, Maja Zietz, Bernd Hohenstein, Urs Benck, Diliana Draganova, Thomas Weinreich, Lothar Wolf, Jasmine Gaidu, Hanna Reiner, Mandy Visnjic, Daniel Steffl, Marie Breitenfeldt, Annette Kraemer-Guth, Christine Braun, Simone Hagge, Michael Schomig, Stephan Matthias, Dominik Stoffler, Beate Schumacher, Thomas Sitter, Louise Fuessl, Julia Krappe, Jerome Loutan, Volker Vielhauer, Luciano Andriaccio, Magdalena Maurer, Bernhard Winkelmann, Martin Dursch, Linda Seifert, Linda Tenbusch, Julia Weinmann-Menke, Simone Boedecker, Wiebke Kaluza-Schilling, Daniel Kraus, Carina Krieger, Margit Schmude, Anne Schreiber, Ewelina Eckrich, Diethelm Tschope, Abdulwahab Arbi, Young Lee-Barkey, Bernd Stratmann, Natalie Prib, Sina Rolfsmeier, Irina Schneider, Lars Rump, Johannes Stegbauer, Christine Pötz, Mara Schemmelmann, Claudia Schmidt, Michael Koch, Sendogan Aker, Annika Küpper, Manuela Martin, Thiemo Pfab, Christian Albert, Michael Haase, Barbara Zander, Claudia Schneider-Danwitz, Wolfgang Seeger, Wolf-Adam Seeger, Britta Zemann, Christoph Stellbrink, Kristin Marx, Ekaterina Stellbrink, Britta Brettschneider, Stephanie Watson, Marion Iselt, Gerhard Klausmann, Inga-Nadine Kummer, Auguste Kutschat, Simone Streitenberger, Matthias Girndt, Silke Markau, Ina Girakossyan, Claudia Hanf, Joachim Beige, Ralph Wendt, Ulrike Schmidt, Andreas Schneider, Roland Veelken, Claudia Donhauser, Luis Becker, Nexhat Miftari, Ricarda Wolfling, Sarah Morlok, Christian Hugo, Alexander Paliege, Jens Passauer, Julian Stumpf, Annegret Fleischer, Kerstin Haaser, Bernhard Kraemer, Jan Jochims, Bernd Kruger, Claudia Foellinger, Anastassiya Reisler, Frank Strutz, Stefan Haack, Ursula Hohenstatt, Martin Busch, Konstantin Herfurth, Gunter Wolf, Rainer Paul, Hermann Haller, Jessica Kaufeld, Jan Menne, Elisabeth Bahlmann-Kroll, Angela Bergner, Horst Weihprecht, Aydin Er, Florian Sonntag, Elif Turan, Michael Wittmann, Franziska Klauser, Eva Voigt, Volker Schettler, Egbert Schulz, Madlen Rohnstock, Elke Schettler, Bernd Schroppel, Rene van Erp, Martin Kachele, Ulla Ludwig, Lena Schulte-Kemna, Waltraud Kmietschak, Elke Preiss, Martina Ruocco, Gunnar Heine, Martin Brzoska, Sebastian Gabel, Christina Büttner, Asma Sabarai, Bernhard Banas, Tobias Bergler, Yvonne Ehrl, Franz Putz, Antonia Schuster, Stefanie Kuhn, Torsten Schramm, Stefan Degenhardt, Gerhard Schmidt, Lea Weiland, Ulrike Giebeln-Hudnell, Jan Kielstein, Gabriele Eden, Brigitte Fuchs, Gina Morig, Manuela Winkler, Harald Darius, Charalampos Kriatselis, Carl-Philipp Roesch, Astrid Maselli, Dominik Alscher, Markus Ketteler, Moritz Schanz, Severin Schricker, Bianka Rettenmaier, Andrea Schwab, Pablo Pergola, Irene Leal, Melissa Cagle, Anna Romo, Anthony Torres, Sucharit Joshi, Kulli Barrett, Alexis Africano, Vicki Dodds, Dorleena Gowen, Ashlee Morris, Juan Fernandez, Guillermo Jimenez, Ricardo Viera, Kendaling Bruce, Ryan Barrios, Maylin Garcia, Kerelyn Garcia, Iradis Leal, David Tietjen, David Bains, Carlo Castillo, Genielle Brewer, Justin Davis, Natalie Freking, Brittany Golson, Sally Ham, Jesslyn Roesch, Pusadee Suchinda, Shameem Beigh, Usah Lilavivat, Joyce Bilton, Kim Bocchicchia, Jeffrey Turner, Neera Dahl, Aldo Peixoto, Yasemin Kavak, Lauren Liberti, Hari Nair, Nicolas Page, Stephanie Rosenberg, Kathryn Simmons, Tamara Isakova, Rebecca Frazier, Rupal Mehta, Anand Srivastava, Patrick Fox, Jonathan Hecktman, Alexander Hodakowski, Carlos Martinez, Rachel Phillips, Alexis Stevenson, Reem Mustafa, Kyle Jansson, Cassandra Kimber, Jason Stubbs, Ahmad Tuffaha, Sri Yarlagadda, Debbie Griffin, Elisabeth Laundy, Zhuo Tang, Radica Alicic, Ann Cooper, Lisa Davis, Ashwini Gore, Rebecca Goldfaden, Leslie Harvill, Lisa Hichkad, Barry Johns, Thomas Jones, Kayla Merritt, Jennifer Sheldon, Jennifer Stanfield, Lindsay Alexander, Kaitlyn Preston, Lindsey Wood, Rajesh Pradhan, Roger DeRaad, Kelli McIntosh, Louis Raymond, Michael Shepperd, Susan McLaughlin, Mary Seifert, Andrew Shepherd, Joseph Aiello, William Durham, Laurie Loudermilk, John Manley, Sabrina Burnette, Stephanie Evans, Tara Johnson, Lance Sloan, Judy Ann Acosta, Stacy Gillham, Katia Sloan, SueAnn Squyres, Michael Rocco, Amret Hawfield, Ben Bagwell, Lauren Richmond, Joseph Soufer, Subha Clarke, Amanda Aliu, Kristine Calabrese, Amanda Davis, Veronica Poma, Tracy Spinola, James Magee, Ricardo Silva, Rushab Choksi, Lorraine Dajani, John Evans, Anil George, Prasanth Krish, Gerard Martins, Mae Sheikh-Ali, David Sutton, Freda Driver, Abraham Hanburry, Laura Hume, Amber Hurst, Matthew Taddeo, Marla Turner, Veronica Yousif, 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Hartner, Christian, Poehler, Dori, Renner, Janina, Scheidemantel, Franziska, Bryant, Miya, Hepditch, Anita, Johnson, Cassandra, Latore, Erin, Miller, Yolanda, Price, Lauren, Whalen, Merilee, Wheeler, Ashleigh, Ingell, Jenny, An, Yu, Chen, Yinghua, Chen, Peiling, Dai, Hao, Du, Hong, Feng, Fang, Guo, Qing, Hou, Libo, Hundei, Wuhanbilige, Jin, Binbin, Li, Yan, Liu, Jiamin, Song, Xia, Wang, Yanping, Yu, Yanwu, Zhang, Ning, Zhao, Lingshan, Zhong, Hui, Beng Goh, Cheng, Mun Low, Ye, Yi Sor, Soon, Hanis Zulkipli, Farah, Sivanandam, Sarojini, Arai, Natsuki, Fukasawa, Ai, Furukawa, Mizue, Habuki, Keisuke, Hayashi, Shoko, Isari, Wakako, Kanegae, Saki, Kawai, Maria, Kobayashi, Reiki, Kuramae, Takako, Kuribayashi, Chika, Maeno, Sawako, Masumoto, Satoshi, Morisaki, Tomoko, Oda, Minoru, Sawada, Kazue, Sugamori, Kenta, Tatsuzawa, Ayana, Tomita, Aiko, Yuasa, Kazuyuki, Inazawa, Hiroko, Axler, Amanda, Gallo, Kerri, Baldini, Ester, Bartolomei Mecatti, Barbara, Bianchini, Francesca, Ceseri, Martina, Cipressa, Laura, Fabbri, Gianna, Lorimer, Andrea, Lucci, Donata, Ghavampour, Sharang, Knoppe, Anja, Schmidt-Gurtler, Han, Dumann, Hubert, Merscher, Sybille, Patecki, Margret, Rainer Schlieper, Georg, Torp, Anke, Weber, Bianca, Zietz, Maja, Hohenstein, Bernd, Benck, Ur, Draganova, Diliana, Weinreich, Thoma, Wolf, Lothar, Gaidu, Jasmine, Reiner, Hanna, Visnjic, Mandy, Steffl, Daniel, Breitenfeldt, Marie, Kraemer-Guth, Annette, Braun, Christine, Hagge, Simone, Schomig, Michael, Matthias, Stephan, Stoffler, Dominik, Schumacher, Beate, Sitter, Thoma, Fuessl, Louise, Krappe, Julia, Loutan, Jerome, Vielhauer, Volker, Andriaccio, Luciano, Maurer, Magdalena, Winkelmann, Bernhard, Dursch, Martin, Seifert, Linda, Tenbusch, Linda, Weinmann-Menke, Julia, Boedecker, Simone, Kaluza-Schilling, Wiebke, Kraus, Daniel, Krieger, Carina, Schmude, Margit, Schreiber, Anne, Eckrich, Ewelina, Tschope, Diethelm, Arbi, Abdulwahab, Lee-Barkey, Young, Stratmann, Bernd, Prib, Natalie, Rolfsmeier, Sina, Schneider, Irina, Rump, Lar, Stegbauer, Johanne, Pötz, Christine, Schemmelmann, Mara, Schmidt, Claudia, Koch, Michael, Aker, Sendogan, Küpper, Annika, Martin, Manuela, Pfab, Thiemo, Albert, Christian, Haase, Michael, Zander, Barbara, Schneider-Danwitz, Claudia, Seeger, Wolfgang, Seeger, Wolf-Adam, Zemann, Britta, Stellbrink, Christoph, Marx, Kristin, Stellbrink, Ekaterina, Brettschneider, Britta, Watson, Stephanie, Iselt, Marion, Klausmann, Gerhard, Kummer, Inga-Nadine, Kutschat, Auguste, Streitenberger, Simone, Girndt, Matthia, Markau, Silke, Girakossyan, Ina, Hanf, Claudia, Beige, Joachim, Wendt, Ralph, Schmidt, Ulrike, Schneider, Andrea, Veelken, Roland, Donhauser, Claudia, Becker, Lui, Miftari, Nexhat, Wolfling, Ricarda, Morlok, Sarah, Hugo, Christian, Paliege, Alexander, Passauer, Jen, Stumpf, Julian, Fleischer, Annegret, Haaser, Kerstin, Kraemer, Bernhard, Jochims, Jan, Kruger, Bernd, Foellinger, Claudia, Reisler, Anastassiya, Strutz, Frank, Haack, Stefan, Hohenstatt, Ursula, Busch, Martin, Herfurth, Konstantin, Wolf, Gunter, Paul, Rainer, Haller, Hermann, Kaufeld, Jessica, Menne, Jan, Bahlmann-Kroll, Elisabeth, Bergner, Angela, Weihprecht, Horst, Er, Aydin, Sonntag, Florian, Turan, Elif, Wittmann, Michael, Klauser, Franziska, Voigt, Eva, Schettler, Volker, Schulz, Egbert, Rohnstock, Madlen, Schettler, Elke, Schroppel, Bernd, van Erp, Rene, Kachele, Martin, Ludwig, Ulla, Schulte-Kemna, Lena, Kmietschak, Waltraud, Preiss, Elke, Ruocco, Martina, Heine, Gunnar, Brzoska, Martin, Gabel, Sebastian, Büttner, Christina, Sabarai, Asma, Banas, Bernhard, Bergler, Tobia, Ehrl, Yvonne, Putz, Franz, Schuster, Antonia, Kuhn, Stefanie, Schramm, Torsten, Degenhardt, Stefan, Schmidt, Gerhard, Weiland, Lea, Giebeln-Hudnell, Ulrike, Kielstein, Jan, Eden, Gabriele, Fuchs, Brigitte, Morig, Gina, Winkler, Manuela, Darius, Harald, Kriatselis, Charalampo, Roesch, Carl-Philipp, Maselli, Astrid, Alscher, Dominik, Ketteler, Marku, Schanz, Moritz, Schricker, Severin, Rettenmaier, Bianka, Schwab, Andrea, Pergola, Pablo, Leal, Irene, Cagle, Melissa, Romo, Anna, Torres, Anthony, Joshi, Sucharit, Barrett, Kulli, Africano, Alexi, Dodds, Vicki, Gowen, Dorleena, Morris, Ashlee, Fernandez, Juan, Jimenez, Guillermo, Viera, Ricardo, Bruce, Kendaling, Barrios, Ryan, Garcia, Maylin, Garcia, Kerelyn, Leal, Iradi, Tietjen, David, Bains, David, Castillo, Carlo, Brewer, Genielle, Davis, Justin, Freking, Natalie, Golson, Brittany, Ham, Sally, Roesch, Jesslyn, Suchinda, Pusadee, Beigh, Shameem, Lilavivat, Usah, Bilton, Joyce, Bocchicchia, Kim, Turner, Jeffrey, Dahl, Neera, Peixoto, Aldo, Kavak, Yasemin, Liberti, Lauren, Nair, Hari, Page, Nicola, Rosenberg, Stephanie, Simmons, Kathryn, Isakova, Tamara, Frazier, Rebecca, Mehta, Rupal, Srivastava, Anand, Fox, Patrick, Hecktman, Jonathan, Hodakowski, Alexander, Martinez, Carlo, Phillips, Rachel, Stevenson, Alexi, Mustafa, Reem, Jansson, Kyle, Kimber, Cassandra, Stubbs, Jason, Tuffaha, Ahmad, Yarlagadda, Sri, Griffin, Debbie, Laundy, Elisabeth, Tang, Zhuo, Alicic, Radica, Cooper, Ann, Davis, Lisa, Gore, Ashwini, Goldfaden, Rebecca, Harvill, Leslie, Hichkad, Lisa, Johns, Barry, Jones, Thoma, Merritt, Kayla, Sheldon, Jennifer, Stanfield, Jennifer, Alexander, Lindsay, Preston, Kaitlyn, Wood, Lindsey, Pradhan, Rajesh, Deraad, Roger, Mcintosh, Kelli, Raymond, Loui, Shepperd, Michael, Mclaughlin, Susan, Seifert, Mary, Shepherd, Andrew, Aiello, Joseph, Durham, William, Loudermilk, Laurie, Manley, John, Burnette, Sabrina, Evans, Stephanie, Johnson, Tara, Sloan, Lance, Ann Acosta, Judy, Gillham, Stacy, Sloan, Katia, Squyres, Sueann, Rocco, Michael, Hawfield, Amret, Bagwell, Ben, Richmond, Lauren, Soufer, Joseph, Clarke, Subha, Aliu, Amanda, Calabrese, Kristine, Davis, Amanda, Poma, Veronica, Spinola, Tracy, Magee, Jame, Silva, Ricardo, Choksi, Rushab, Dajani, Lorraine, Evans, John, George, Anil, Krish, Prasanth, Martins, Gerard, Sheikh-Ali, Mae, Sutton, David, Driver, Freda, Hanburry, Abraham, Hume, Laura, Hurst, Amber, Taddeo, Matthew, Turner, Marla, Yousif, Veronica, Beddhu, Srinivasan, Al-Rabadi, Laith, Abraham, Nikita, Caamano, Amalia, Carle, Judy, Gonce, Victoria, Staylor, Kaitlyn, Zhou, Na, Bansal, Shweta, Bhattarai, Manoj, Sharma, Kumar, Debnath, Subrata, Garza, Aliseiya, Velagapudi, Chakradhar, Rovner, Sergio, Almeida, Javier, Casares, Pablo, Stewart-Ray, Verlaine, Almaraz, Rene, Dayrell, Renata, Moncada, Ana, Pulido, Ricardo, Rodriquez, Roxana, Deeb, Wasim, Degoursey, Kathryn, Gloria, Rodel, Greene, Trevor, Miller, Robert, Pereira, Edward, Roura, Miguel, Domingo, Debbie, Dorestin, Sasha, Hodge, William, Jackson, Cathy, Lund, Deborah, Taylor, Katrina, Boren, Kenneth, Cleveland, Brittany, Gaiser, Sandra, Sahani, Mandeep, Aldrich, Logan, Edmerson, Exodu, Limon, Edmond, Valletta, Cole, Vasquez, Patricia, Provenzano, Christopher, Brar, Navkiranjot, Henderson, Heather, Keith, Bellovich, Khai, Qur, Khairullah, Quresh, Makos, Gail, Topf, Joel, Gasko, Sherry, Henschel, Rosemarie, Knapp, Kaitlin, Kozlowski, Teresa, Lafleur, Paula, Varughese, Ashwathy, Xue, Hui, Wu, Patricia, Arechiga, Olga, Darbeau, Shan, Fechter, Michael, Martinez, Stephanie, Hanson, Lenita, Cooper, Nyla, Madera, Areli, Cadorna, Jay, Sheridan, Rita, Sparks, Helen, Eilerman, Bradley, Bodine, Susanne, Eid, Wael, Flora, Rebecca, Avery, Amber, Hardy, Cashmere, Biscoveanu, Mihaela, Nagelberg, Steven, Cummins, Tracey, Rahbari-Oskoui, Frederic, Oommen, Anju, Forghani, Zohreh, Hitchcock, Stacie, Hosein, Darya, Watkins, Diane, Patel, Minesh, Lambert, Anthony, Newman, Elizabeth, Wood, Autumn, Ross, Tammy, Topping, Stephany, Mulhern, Jeffrey, Murphy, Lorna, Vasseur, Ann, Greenwood, Gregory, Hadley, Alexander, Laurienti, Denise, Marshall, Christopher, Mclean, Nichola, Satko, Scott, Caudill, Brandy, Maris, Jacob, Rogers, Janice, Vanhoy, Cindy, Thomas, George, Nakhoul, George, O'Toole, John, Taliercio, Jonathan, Cooperman, Leslie, Markovic, Marina, Tucky, Barbara, Dev, Devasmita, Hasan, Alia, Yalamanchili, Hima, Jain, Namita, Mcneil, Lesley, Wines, Eric, Park, Jean, Ghazi, Adline, Hamm, Mia, Patel, Teja, Mottl, Amy, Chang, Emily, Derebail, Vimal, Cole, Emmie, Froment, Anne, Kelley, Sara, Osmond Foster, Jordan, Mahabadi, Vahid, Jafari, Golriz, Kamarzarian, Anita, Arriaga, Wendy, Arteaga, Daisy, Machicado, Rosario, Naverrete, Genesi, Kumar, Prashant, Nazeer, Imran, Urquia, Karina, Glider, Tammi, Jones, Vickie, Rucker, Savannah, Wiley, Jennifer, Pandey, Rahul, Arroyo, Jesu, Pariani, Harish, Ahmad, Mohammad, Mozaffari, Shahin, Perez, Erika, Budoff, Matthew, Roy, Sion, Birudaraju, Divya, Ghanem, Ahmed, Hamal, Sajad, Aronoff, Stephen, Joye Petr, Elisa, Sachson, Richard, Wiebel, Jaime, Akram, Sana, Jones, Laurie, Knight, Curti, Tarlac, Maurie, Ahmed, Shahbaz, Szerlip, Harold, Akinfolarin, Akinwande, Mehta, Ankit, Camp, Shana, Castro, Cindy, Cooper, Zanaida, Terry, Jessica, Awad, Ahmed, Kothapalli, Bhavya, Lustig, Ryan, Alfaress, Serine, Jasim, Hyder, Parrigon, Mary, Karounos, Denni, Ahmed, Sadiq, Berry, Maggie, Oremus, Ruth, Hernandez-Cassis, Carlo, Ugwu, Elia, Junejo, Nazia, Suazo, Nancy, Segal, Mark, Kazory, Amir, Brown, Sherry, Daniels, Tristan, Dayi, Sofia, Hogan, Renee, Mccray, Kathy, Stickley, Jennifer, Rahman, Mahboob, Dobre, Mirela, Negrea, Lavinia, Padiyar, Aparna, Pradhan, Nishigandha, Rashidi, Arash, Sarabu, Nagaraju, Donley, Vicki, Young, Tricia, Oguchi, Godson, Onyema, Judepatrick, Damianik, Kahla, Dienes, Jack, Plummer-Morgan, Judith, Roman, Marilyn, Skipper, Mauver, Villaruel, Stacey-Ann, Williams, Krystle, Sugimoto, Danny, Dugas, Jeffrey, Ahmed, Ismeal, Bhairoo, Jamie, Rijos, Dolore, Salim, Huzaifa, Gavrila, Madita, Lafferty, Kathryn, Rabara, Ria, Ruse, Sally, Weetman, Maria, Bushnell, Jame, Power, Albert, Jenkins, Alison, Jones, Stefanie, Scott, Amanda, Byrne, Cath, Jesky, Mark, Cowley, Alison, Mchaffie, Emma, Waterfall, Holly, Taylor, Jo, Bough, Laura, Phillips, Thoma, Winter-Goodwin, Barbara, Phin Kon, Sui, Macdougall, Iain, Lioudaki, Eirini, Shah, Sapna, Sharpe, Claire, Aguilar, Francisco, Hernandez Pena, Abegail, Pugay, Conception, Te, Amelia, Finn, Hugh, Hanif, Wasim, Mostafa, Samiul, Aitken, Alice, Draxlbauer, Katharine, Grobovaite, Evelina, Kearney, Jennifer, Mccarthy, Theresa, Gentile, Giorgio, Browne, Duncan, Chellamuthu, Palanichamy, Dugal, Tabinda, Chant, Terri, Jones, Laura, Laity, Emily, Miners, Megan, Muir, Jame, Swanson, Elizabeth, Frankel, Andrew, Tomlinson, Jame, Alegata, Marlon, Almasarwah, Rashid, Apostolidi, Anthoula, Vourvou, Maria, Walters, Thoma, Taal, Maarten, Dukka, Hari, Kolhe, Nitin, Mcdonald, Carly, White, Kelly, Ugni, Shiva, Gunda, Smita, Oluyombo, Rotimi, Brindle, Vicki, Coutts, Ping, Fuller, Tracy, Nadar, Evelyn, Ramadoss, Suresh, Motherwell, Nichola, Pajak, Susannah, Tonks, Louise, Bhandari, Sunil, Bodington, Richard, Hazara, Adil, Fellowes, Dominic, Wong, Christopher, Goldsmith, Christopher, Barnes, Sherald, Bennett, Ann, Burston, Claire, Hope, Samantha, Hunt, Nicola, Kurian, Lini, Fish, Richard, Farrugia, Daniela, Lee, Judy, Sadler, Emma, Turner, Hannah, Hill, Christopher, Brown, Henry, Masengu, Agne, Maxwell, Peter, Bleakley, Nina, Murtagh, Hugh, Petchey, William, Yiu, Vivian, Kellett, Joanne, Williams, Angharad, Clarke, Helen, Carnall, Victoria, Benyon, Sarah, Blake, Caroline, Estcourt, Stephanie, Piper, Jane, Morgan, Neal, Hutchinson, Carolyn, Mckinley, Teresa, Woodman, Alastair, Graham, Judi, Leonard, Niall, Smyth, John, Adell, Vicki, Hagan, Samantha, Caplin, Ben, Oomatia, Amin, Damian, Eleanor, Sobande, Toluleyi, Doulton, Tim, Delaney, Michael, Montasser, Mahmoud, Hansen, Jenny, Loader, David, Moon, Angela, Morris, France, Sinha, Smeeta, Chukwu, Chukwuma, Hudson, Amy, Campbell, Diane, Kershaw, Melanie, Whittaker, Stephanie, Irtiza-Ali, Ayesha, Ghalli, Farid, Nosseir, Heba, Leslie, Allison, Trivedi, Kate, Fraser, Donald, Alhadj Ali, Mohammad, Griffin, Sian, Latif, Farah, Witczak, Justyna, Wonnacott, Alexa, Jeffers, Lynda, Webley, Yvette, Phelan, Paul, Miller-Hodges, Eve, Geddes, Ailsa, Glenwright, Margaret, Hunter, Amy, Pickett, Thoma, Moriarty, Jim, Hill, Linda, Tyler, Amanda, Ayub, Waqar, Evans, Gail, Hewins, Sue, Hewitt, Davina, Read, Kerry, Bell, Samira, Cosgrove, Leanne, Craik, Rachel, Murray, Shona, Bhandary, Nitin, Coles, Holly, Easow, Rashmi, Joseph, Maya, Khwaja, Arif, Jackson, Yvonne, Mbuyisa, Angeline, Sellars, Rachel, Chitalia, Nihil, Mohandas, Cynthia, Gherman, Anca, Kamundi, Charlotte, Olufuwa, Olumide, Mccafferty, Kieran, Adeleke, Adedolapo, Healy, Cara, Jeyarajah, Damini, Kinsella-Perks, Edward, Smith, Richard, Camilleri, Brian, Buckman, Carol, Finch, Jenny, Rivers, Vanessa, Connor, Andrew, Carr, Sheila, Shainberg, Lisa, Lewington, Andrew, Baker, Richard, Dorey, Suzannah, Tobin, Kay, Wheatley, Rosalyn, Banerjee, Debasish, Hull, Richard, Abat, Sharirose, Paul, Riny, Karim, Mahzuz, Htet, Zay, Tufail, Saad, Varma, Ravi, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Tropman, Emily, Abdul-Samad, Thahir, Grace, Anne, Phipps, Marie, Suckling, Rebecca, Somalanka, Subash, Sood, Bhrigu, Swift, Pauline, Acheampong, Sarah, Ansu, Kwame, Augustin, Martia, Sampson, Anna, Vinall, Lynn, Wren, Kim, Wanninayake, Shamila, Wooding, Nichola, Edwards, Heather, Owen, Lydia, Bolton, Stephanie, Carson, Marion, Matthews, Michael, Brunskill, Nigel, Jesus-Silva, Jorge, Howson, Alex, Quashie-Akponeware, Mary, Tindall, Hilary, Nethaji, Chidambaram, Eldon, Helen, Patel, Rajan, Mark, Patrick, Rankin, Alastair, Sullivan, Michael, Forsyth, Kirsty, Mcdougall, Rowan, Dasgupta, Tanaji, Davies, Louisa, Ryder, Maggie, Grimmer, Philip, Macdonald, Clare, Webster, Mary, Newcastle, Newcastle, Ellam, Timothy, Wong, Edwin, Meshykhi, Christine, Webster, Andrea, Wilson, Peter, Vilar, Enric, Berdeprado, Jocelyn, Doctolero, Eunice, Wilkinson, Lily, Mccarroll, Frank, Ammar, Hesham, Kuan, Ying, Moran, Conor, Shivashankar, Girish, Campbell, Ryan, Glowski, Deborah, Mcdermott, Paula, Ali, Amar, Patel, Zuber, Bond, Christine, Whalley, Gillian, Zhang, Haitao, Yang, Liu, Zhang, Lihua, Kan, Tingting, Zhu, Ling, Zhao, Jinghong, Hou, Weiping, Wu, Jing, Cheng, Hong, Bian, Weijing, Zhao, Zhirui, Shao, Fengmin, Cao, Huixia, Jiao, Xiaojing, Niu, Peiyuan, Niu, Jianying, Chen, Yu, Zhang, Lihong, Zhu, Shenglang, Lin, Haiyan, Yao, Shaopeng, Chen, Jiehui, Jiang, Ying, Hu, Ying, Xiao, Huaying, Yang, Fuye, Zhang, Xinzhou, Guo, Baochun, Jin, Qiu, Liu, Lixia, Xiao, Xiangcheng, Xie, Yanyun, Meng, Ting, Xu, Chuanwen, Huang, Jie, Xu, Yanmei, Kong, Weixin, Wang, Xiaoliang, Liu, Qianpan, Wang, Xueying, Gao, Ming, Hu, Xiumei, Lu, Ying, Wang, Li, Peng, Kun, Wang, Wei, Gong, Qiuhong, Cai, Jianfang, Li, Xiaojue, Liu, Xuejiao, Zhou, Shuhan, Liu, Hong, Weng, Yao, Tang, Shuai, Yao, Yao, Zhao, Shi, Cheng, Chen, Wei, Wei, Li, Na, Aqashiah Mazlan, Sadanah, Zubaidah Bahtar, Alia, Katiman, Elliyyin, Othman, Noraini, Mushahar, Lily, Mazlan, Nurdiana, Sharafina Safiee, Nur, Ramasamy, Sarasa, Seng Wong, Hin, Ahmad Rosdi, Hajar, Zhao Zhi Tan, Esther, Fan Tay, Ju, Seng Teng, Kok, Yahaya, Hasnah, Jiun Liu, Wen, Wee Ee, Lik, Kay Leong Khoo, Kenneth, Mohd Yusoff, Yuana, Safhan Mohamad Nor, Fariz, Kamil Ahmad, Mohd, Ramli Seman, Mohd, Hui Hong Tan, Clare, Lui Sian Ngu, Laura, Yoke May Chan, Jaime, Peji, Javelin, Loong Loh, Chek, Yan Lee, Yee, Ramanaidu, Sridhar, Mean Thong, Kah, Hong Wong, Yik, Junus, Suria, Hua Ching, Chen, Faisal Asmee, Mohammad, Ruziana Ku Md Razi, Ku, Leong Low, Chun, Sze Bing Sim, Christopher, Duan Tham, Zhang, Kamila Abdullah, Noor, Meng Chen, Tai, Chieh Chan, Yong, Chang, Eason, Yean Kang, Huan, Quan Lee, Kai, Ann Lee, Sue, Kheng Lee, Aik, Vinathan, Jeevika, Abdul Cader, Rizna, Mustafar, Ruslinda, Kamaruzaman, Lydia, Mohd, Rozita, Ismail, Rahimah, Men Leong, Chong, Koon Low, Chee, Wei Wong, Liang, Adnan, Norlezah, Ibrahim, Sabariah, Zaimi Abdul Wahab, Mohamad, Bavanandan, Sunita, Shen Lim, Yik, Hazlina Wan Mohamad, Wan, Munirah Jaafar, Siti, Ashykeen Mohd Fauzi, Nur, Sudin, Aziee, Kun Lim, Soo, Chung Gan, Chye, Hing, Albert, Ahmad Faizal Alaidin Razali, Wan, Fong Liew, Yew, Bao Tyng Chan, Chelsia, Chih Cheng, Mei, Chen Ong, Yu, Meng Ong, Loke, Amalina Mohamed Affandi, Farah, Rahmat, Korina, Chai Peng, Ban, Amat, Masayu, Hadafi Ahmad, Nuzaimin, Yee Mah, Doo, Loon Tye, Yi, Azhari, Zaid, Nabilah Mohamad Zaini, Siti, Aidil Musa, Mohd, Ahmad Miswan, Norazinizah, Ramli, Rafizanur, Aziah Ahmad, Nor, Leong Goh, Bak, Izah Ahmad, Nurul, Huda Ibrahim, Fairol, Jian Ng, Tze, Shanmuganathan, Malini, Lian Tay, Li, Harun, Zaiha, Ramli, Salmi, 'Ain Yusof, Nurul, Abd Rahman, Rossenizal, Iqbal Abdul Hafidz, Muhammad, Hidayati Mohd Sharif, Nur, Yasmoon Awang, Irda, Nakashima, Eitaro, Imamine, Rui, Minatoguchi, Makiko, Miura, Yukari, Nakaoka, Miduki, Suzuki, Yoshiki, Yoshikawa, Hitomi, Shin, Koki, Fujita, Kanae, Iwasa, Misuzu, Sasajima, Haruka, Sato, Airi, Hamamoto, Yoshiyuki, Fujita, Yuki, Haraguchi, Takuya, Hyo, Takanori, Izumi, Kiyohiro, Komiya, Toshiyuki, Kubota, Sodai, Kurose, Takeshi, Kuwata, Hitoshi, Nakatani, Susumu, Oishi, Kaori, Okamoto, Saki, Okamura, Kaori, Takeoka, Jun, Tanaka, Nagaaki, Tanigaki, Katsuya, Toda, Naohiro, Watanabe, Koin, Komori, Hiromi, Kumuji, Rika, Takesada, Asako, Tanaka, Aya, Maruyama, Shoichi, Hasegawa, Tomonori, Ishiguro, Akiko, Ishimoto, Takuji, Ito, Kazuhiro, Kamimura, Yutaka, Kato, Noritoshi, Kato, Sawako, Kojima, Hiroshi, Kosugi, Tomoki, Maeda, Kayaho, Mizuno, Masasi, Saito, Shoji, Sato, Hitomi, Sato, Yuka, Suzuki, Yasuhiro, Tanaka, Akihito, Yasuda, Yoshinari, Hasegawa, Fujiko, Hayashi, Maiko, Higashi, Shizuka, Shimamura, Kaho, Sumi, Momoko, Tajima, Kazuki, Unekawa, Chimaki, Wakayama, Kana, Wakita, Yukiko, Otani, Takatoshi, Imai, Ayako, Kawashima, Sayaka, Kogure, Eri, Sato, Tomoe, Takezawa, Misato, Yoshida, Shinya, Araki, Hideo, Katsuda, Yuko, Konishi, Masahiro, Matsunaga, Takahiro, Oe, Masashi, Ogane, Kunihiro, Sakai, Masato, Takahashi, Tomoko, Yamano, Takahiro, Yokoyama, Takuya, Ito, Hitomi, Katayama, Masayo, Kuroda, Emi, Ikeda, Toru, Kojo, Takuma, Yoshidome, Etsuo, Mizumachi, Rieko, Yamamoto, Akane, Yamasaki, Narihisa, Yamasaki, Yoshihiko, Wada, Jun, Eguchi, Jun, Higuchi, Chigusa, Katayama, Akihiro, Kinomura, Masaru, Kitagawa, Masashi, Kitamura, Shinji, Miyamoto, Satoshi, Morinaga, Hiroshi, Nakatsuka, Atsuko, Nojima, Ichiro, Shikata, Kenichi, Sugiyama, Hitoshi, Tanabe, Katsuyuki, Tsuji, Kenji, Uchida, Haruhito, Watanabe, Mayu, Hashimoto, Chie, Kato, Takahiro, Yamamoto, Sayaka, Wada, Takehiko, Fukagawa, Masafumi, Hamano, Naoto, Koizumi, Masahiro, Komaba, Hirotaka, Nakagawa, Yosuke, Iwamoto, Michiyo, Masutani, Kosuke, Katanosaka, Akane, Kiyota, Mayu, Uchi, Hikari, Ueda, Yuka, Yamamoto, Sonoka, Nagasu, Hajime, Itano, Seiji, Iwakura, Tsukasa, Kadoya, Hiroyuki, Kanda, Eiichiro, Kashihara, Naoki, Kidokoro, Kengo, Kondo, Megumi, Sasaki, Tamaki, Satoh, Minoru, Tokuyama, Atsuyuki, Umeno, Reina, Wada, Yoshihisa, Yamamoto, Toshiya, Yamanouchi, Yu, Abe, Masumi, Inukai, Yoko, Ogawa, Wataru, Asahara, Shunichiro, Fujii, Hideki, Goto, Shunsuke, Hirota, Yushi, Hosooka, Tetsuya, Kono, Keiji, Nishi, Shinichi, Okada, Yuko, Sakaguchi, Kazuhiko, Sugawara, Kenji, Takahashi, Michiko, Takai, Tomoko, Tamori, Yoshikazu, Watanabe, Kentaro, Kitajima, Miyu, Nishi, Misaki, Wada, Junko, Ito, Yasuhiko, Kamiya, Hideki, Asai, Akimasa, Asai, Nao, Asano, Saeko, Banno, Shogo, Ejima, Yohei, Hase, Hanako, Hayami, Tomohide, Himeno, Tatsuhito, Ishikawa, Takahiro, Ito, Mayumi, Iwagaitsu, Shiho, Kasagi, Rina, Kato, Yoshiro, Kato, Makoto, Kato, Koichi, Katsuno, Takayuki, Kawai, Miyuka, Kinashi, Hiroshi, Kondo, Masaki, Koshino, Masako, Matsuoka, Naoya, Morishita, Yoshiaki, Motegi, Mikio, Nakamura, Jiro, Shimoda, Hiromi, Sugiyama, Hirokazu, Tsunekawa, Shin, Yamaguchi, Makoto, Takahashi, Kazuyo, Watada, Hirotaka, Funayama, Takashi, Furukawa, Yasuhiko, Gohda, Tomohito, Goto, Hiromasa, Kaga, Hideyoshi, Kanaguchi, Yasuhiko, Kanazawa, Akio, Kaneko, Kayo, Kano, Toshiki, Kihara, Masao, Kimura, Shogo, Kobayashi, Takashi, Maiguma, Masayuki, Makita, Yuko, Mano, Satoshi, Mita, Tomoya, Miyatsuka, Takeshi, Murakoshi, Maki, Muto, Masahiro, Nakata, Masami, Nakata, Junichiro, Nishida, Yuya, Nohara, Nao, Ogihara, Takeshi, Sato, Daisuke, Sato, Junko, Sato, Hiroaki, Suzuki, Yusuke, Suzuki, Ruka, Suzuki, Hitoshi, Takagi, Miyuki, Tamura, Yoshifumi, Uchida, Toyoyoshi, Ueda, Seiji, Asawa, Miki, Miyaji, Minako, Nagashima, Eri, Shibata, Yoshie, Yanagisawa, Eri, Yamauchi, Toshimasa, Hirakawa, Yosuke, Nishi, Hiroshi, Shojima, Nobuhiro, Horikawa, Satoko, Nakayama, Yukiko, Yamada, Naoko, Omori, Yuki, Yano, Shintaro, Ioka, Miyabi, Kuwabara, Nahoko, Nagano, Remi, Nozawa, Megumi, Osawa, Yumi, Maegawa, Hiroshi, Kume, Shinji, Araki, Shinichi, Miyazawa, Itsuko, Morino, Katsutaro, Kawai, Ikuko, Sobata, Masumi, Takaoka, Motoko, Iwaita, Yasushi, Udagawa, Takashi, Inamori, Ami, Kawase, Aya, Yamanaka, Aya, Shimano, Hitoshi, Fujita, Akiko, Iwasaki, Hitoshi, Kai, Hirayasu, Osaki, Yoshinori, Saito, Chie, Sekiya, Motohiro, Tsunoda, Ryoya, Yamagata, Kunihiro, Nakamura, Rikako, Yamada, Aiko, Ohsugi, Mitsuru, Awazawa, Motoharu, Bouchi, Ryotaro, Hashimoto, Shota, Hashimoto, Makiko, Hisatake, Tomoko, Ihana, Noriko, Ishizuka, Koko, Izumi, Kazuo, Kajio, Hiroshi, Kobayashi, Michi, Kodani, Noriko, Maruyama, Koji, Matsumoto, Michihiro, Matsushita, Maya, Nakamura, Tomoka, Sugiyama, Takehiro, Tanabe, Akiyo, Terakawa, Aiko, Ueki, Kojiro, Orimo, Yuko, Ozawa, Takako, Takahira, Eriko, Yamasaki, Yoshimitsu, Haneda, Masakazu, Tomita, Tadahiro, Akimoto, Saori, Fujimoto, Akihiro, Ishihara, Kenji, Murakami, Chiho, Nishiyama, Akiyo, Toyonaga, Yukiko, Uozumi, Kana, Yamaji, Yukihiro, Shigehara, Tetsuya, Okajyo, Jun, Shimizu, Yukihiro, Iwasaki, Shingo, Fukao, Yuki, Furusho, Megumi, Nunokawa, Shintaro, Katagiri, Hideki, Izumi, Tomohito, Kaneko, Keizo, Kodama, Shinjiro, Miyazaki, Mariko, Munakata, Yuichiro, Nagasawa, Tasuku, Oe, Yuji, Sugawara, Hiroto, Takahashi, Kei, Hirata, Kazushige, Inomata, Keiko, Otomo, Shoko, Uchida, Taeko, Yamashita, Chigusa, Kiyosue, Arihiro, Tamura, Ryota, Dube, Francoi, Bolduc, Marilene, Talbot, Marie-Christine, Cham, Leslie, Lai, Vesta, Tse, Josephine, Jolly, Shivinder, Duck, Tabbatha, Lyle, Scott, Epp, Rachel, Galloway, Camille, Haskett, Susan, Matvienko, Elizabeta, Paulsen, Liam, Moist, Louise, Lozon, Zabrina, Ramsey, Tina, Whitmore, Brittany, Al-Zeer, Bader, Macleod, Paula, O'Sullivan, Aoife, Sheriff, Zainab, Tholl, Sam, Pandey, Amritanshu, Armstrong, Samantha, Gebeyehu, Bethelihem, Toth, Patrick, Goldenberg, Ronald, Jahangiriesmaili, Mahsa, Sanguila, Shariff, Suresh, Neethi, Talsania, Tanvi, Zalunardo, Nadia, Agharazii, Mohsen, Roussel, Marie-Pier, Saillant, Annie, Samson, France, Bajaj, Harpreet, Bhavsar, Miken, Dhall, Parul, Dhillon, Gagandeep, Grewal, Bhupinder, Nimbkar, Taniya, Madore, Francoi, Marcotte, Guylaine, Steen, Oren, Bullen, Mathura, Raguwaran, Shayani, Valleteau, Andre, Langlois, Marie-France, Brown, Christine, Steele, Andrew, Garrity, Melissa, Ghate, Taneera, Robinson, Holly, Tolibas, Michael, Tailor, Chetna, Elliott, Lauren, McClary-Wright, Christine, Boreky, Fadia, Fikry, Sameh, Ali, Ayesha, Barot, Chintankumar, Basily, Wagdy, Saram, Thisun, Varad, Vinay, Khandwala, Hasnain, Aguilera, Alex, Alvarez, Patricia, Gill, Balwinder, Huda, Nazihah, Navivala, Aamir, Pinto, Daniel, Bevilacqua, Micheli, Fung, Elaine, Hernandez, Geraldine, Mann, Puneet, Saini, Jaskiran, Rabasa-Lhoret, Remi, Bovan, Danijela, Devaux, Marie, Barnini, Cecilia, Leoncini, Giovanna, Manco, Luca, Nobili, Giulia, Piemontese, Matteo, Aucella, Filippo, Grifa, Rachele, Totaro, Francesco, La Manna, Gaetano, Capelli, Irene, Cianciolo, Giuseppe, Lerario, Sarah, Zappulo, Fulvia, Rosati, Alberto, Fani, Filippo, Spatoliatore, Giuseppe, Gesualdo, Loreto, Pesce, Francesco, Russo, Maria, Zippo, Maria, Cafiero, Cesira, Motta, Daria, Bianco, Simona, Bilucaglia, Donatella, Messa, Piergiorgio, Pavone, Laura, Tripodi, Federica, Vettoretti, Simone, Fioretto, Paola, Carraro, Gianni, Farnia, Filippo, Postal, Anna, D'Amelio, Alessandro, Cardone, Antonio, Piccinni, Giovanni, Aloisi, Annalisa, Scolari, Francesco, Alberici, Federico, Guerini, Alice, Saccà, Chiara, Salviani, Chiara, Zani, Roberta, DE NICOLA, Luca, Garofalo, Carlo, Elena Liberti, Maria, Minutolo, Roberto, Pennino, Luigi, Polese, Lucio, Mené, Paolo, Barberi, Simona, Falcone, Clorinda, Russo, Francesco, Caroppo, Maurizio, Santorelli, Gennaro, Rivera, Rodolfo, Santoro, Domenico, Giuffrida, Alfio, Zirino, Fortunata, Calvi, Cristina, Estienne, Luca, Gambaro, Giovanni, Gangemi, Concetta, Ortalda, Vittorio, Pessolano, Giuseppina, Grandaliano, Giuseppe, Baccaro, Rocco, Ferraro, Pietro, Mangiacapra, Roberto, Melandri, Marco, Foligno, Nadia, Quartagno, Rita, Vezzoli, Giuseppe, Brioni, Elena, and Group, EMPA-KIDNEY Collaborative
Subjects: chronic renal disease, empagliflozin, empa-kidney, General Medicine
Abstract: Background The effects of empagliflozin in patients with chronic kidney disease who are at risk for disease progression are not well understood. The EMPA-KIDNEY trial was designed to assess the effects of treatment with empagliflozin in a broad range of such patients. Methods We enrolled patients with chronic kidney disease who had an estimated glomerular filtration rate (eGFR) of at least 20 but less than 45 ml per minute per 1.73 m2 of body-surface area, or who had an eGFR of at least 45 but less than 90 ml per minute per 1.73 m2 with a urinary albumin-to-creatinine ratio (with albumin measured in milligrams and creatinine measured in grams) of at least 200. Patients were randomly assigned to receive empagliflozin (10 mg once daily) or matching placebo. The primary outcome was a composite of progression of kidney disease (defined as end-stage kidney disease, a sustained decrease in eGFR to Results A total of 6609 patients underwent randomization. During a median of 2.0 years of follow-up, progression of kidney disease or death from cardiovascular causes occurred in 432 of 3304 patients (13.1%) in the empagliflozin group and in 558 of 3305 patients (16.9%) in the placebo group (hazard ratio, 0.72; 95% confidence interval [CI], 0.64 to 0.82; PConclusions Among a wide range of patients with chronic kidney disease who were at risk for disease progression, empagliflozin therapy led to a lower risk of progression of kidney disease or death from cardiovascular causes than placebo. (Funded by Boehringer Ingelheim and others; EMPA-KIDNEY ClinicalTrials.gov number, NCT03594110. opens in new tab; EudraCT number, 2017-002971-24. opens in new tab.)
Published: 2023

49. Anthropometric Obesity Indices were Stronger than CT-Based Indices in Associations with Carotid Intima-Media Thickness in Japanese Men.

Author: Liu Y, Fujiyoshi A, Arima H, Kadota A, Kadowaki S, Hisamatsu T, Miyazawa I, Kondo K, Tooyama I, Miura K, and Ueshima H
Subjects: Adult, Aged, Carotid Artery Diseases diagnostic imaging, Carotid Intima-Media Thickness, Cross-Sectional Studies, Follow-Up Studies, Humans, Japan, Male, Middle Aged, Prognosis, Prospective Studies, Waist Circumference, Waist-Hip Ratio, Anthropometry, Body Mass Index, Carotid Artery Diseases diagnosis, Intra-Abdominal Fat pathology, Obesity physiopathology, Subcutaneous Fat pathology, Tomography, X-Ray Computed methods
Abstract: Aim: Computed tomography (CT) can directly provide information on body compositions and distributions, compared to anthropometric indices. It has been shown that various obesity indices are associated with carotid intima-media thickness (IMT). However, whether CT-based obesity indices are stronger than anthropometric indices in association with atherosclerosis remains to be determined in a general population., Methods: We cross-sectionally assessed carotid IMT using ultrasound in 944 community-dwelling Japanese men free of stroke and myocardial infarction. CT image at the L4-L5 level was obtained to compute areas of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). Anthropometric measures assessed included body mass index (BMI), waist circumference, and waist-to-hip ratio. Using multivariable linear regression, slopes of IMT per 20 th to 80 th percentile of each index were compared. We also compared the slope of index with simultaneous adjustment for BMI in the same model., Results: Areas of VAT and SAT were positively associated with IMT, but not stronger than those of anthropometric indices in point estimates. Among all obesity indices, BMI was strongest in association with IMT after adjusting for age and lifestyle factors or further adjusting for metabolic factors. In simultaneous adjustment models, BMI, but not CT-based indices, remained significant and showed the strongest association., Conclusions: In community-dwelling Japanese men, anthropometric obesity indices, BMI in particular, were more strongly associated with carotid atherosclerosis than CT-based obesity indices. The association of general obesity with carotid atherosclerosis was strong and adding CT-based obesity measure did not considerably influence in the association.
Published: 2019
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50. Change in Pericardial Fat Volume and Cardiovascular Risk Factors in a General Population of Japanese Men.

Author: Miyazawa I, Ohkubo T, Kadowaki S, Fujiyoshi A, Hisamatsu T, Kadota A, Arima H, Budoff M, Murata K, Miura K, Maegawa H, and Ueshima H
Subjects: Adipose Tissue diagnostic imaging, Adult, Aged, Cardiovascular Diseases etiology, Heart Rate, Humans, Japan epidemiology, Male, Middle Aged, Pericardium diagnostic imaging, Risk Factors, Smoking, Tomography, X-Ray Computed, Adipose Tissue pathology, Pericardium pathology
Abstract: Background: Pericardial fat volume (PFV), defined as the volume of ectopic fat in and around the heart, is associated with the atherosclerotic process in coronary arteries. The magnitude of change in PFV over time and the factors affecting this change in a general population, however, have not been investigated. Methods and Results: Cardiac computed tomography (CT) was carried out at baseline and at follow-up in 623 Japanese men aged 40-79 years without a history of cardiovascular disease who were selected randomly in Kusatsu (Shiga, Japan). PFV was measured on cardiac CT in a qualified laboratory. Age, heart rate, triglycerides, and obesity measurements (weight, body mass index, and waist circumference) were significantly and positively associated with PFV at baseline. Over an average interval of 4.7 years, median PFV increased significantly from 64.1 cm 3 (IQR, 47.2-90.0 cm 3 ) to 73.6 cm 3 (IQR, 53.3-98.1 cm 3 ; P<0.001). Current smoking and heart rate were significantly and independently associated with changes in PFV (B=3.336, P<0.001 and B=6.409, P=0.003, respectively)., Conclusions: PFV increased significantly over time in a population-based observational study of Japanese men. PFV change was significantly and independently associated with smoking status and heart rate, suggesting that quitting smoking might help reduce PFV, which could be expected to decrease the risk of coronary artery disease.
Published: 2018
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