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1. Risk Factors of Preterm Birth in Okinawa Prefecture, the Southernmost Island Prefecture of Japan

Author

Kinjyo, Yoshino, Kinjo, Tadatsugu, Mekaru, Keiko, Nagai, Yutaka, Moromizato, Takuhiro, Ohata, Takako, and Iseki, Chiho

Subjects
Infants -- Development, Infants (Premature) -- Risk factors, Health care industry
Abstract

Objectives A high rate of preterm birth has been reported in Okinawa Prefecture, the southernmost island prefecture of Japan. Hence, this study aimed to identify the risk factors for preterm birth in this prefecture. Methods This retrospective study included data from January 2013 to December 2019 from three facilities in Okinawa Prefecture. Of 13,468 cases of preterm birth at [greater than or equal to] 22 weeks of gestation, 11,868 were included in this study. Stillbirth and multiparity cases were excluded. First, we compared the overall preterm and full-term birth groups by categorizing the patient background, obstetric, and fetal risk factors. Further, we categorized preterm births into three groups (22-27, 28-33, and 34-36 weeks of gestation) and examined patient background factors to identify potential risk factors for the occurrence of preterm birth in each group. Results Preterm births accounted for 21.2% (2,521 cases) of all cases, with the rates of 2.6% (317 cases), 6.7% (800 cases), and 11.8% (1,404 cases) at 22-27, 28-33, and 34-36 weeks of gestation, respectively. To prevent preterm birth in Okinawa Prefecture, the present study specifically focused on patient background characteristics. In the multinomial logistic regression, the risk factors for preterm birth at 22-27 weeks of gestation were previous preterm birth (P < 0.0001) and lower age (P = 0.026); at 28-33 weeks of gestation, the risk factors were previous preterm birth (P < 0.0001) and history of cervical conization (P = 0.009); and at 34-36 weeks of gestation, only previous preterm birth (P < 0.0001) was a risk factor. Conclusions for practice Previous preterm birth, younger age, and history of cervical conization were risk factors for Preterm birth in Okinawa. To reduce premature births in Okinawa Prefecture, it is important to pick up women with these risk factors and provide them with appropriate guidance and education on an ongoing basis., Author(s): Yoshino Kinjyo [sup.1] , Tadatsugu Kinjo [sup.1] , Keiko Mekaru [sup.1] , Yutaka Nagai [sup.2] , Takuhiro Moromizato [sup.3] , Takako Ohata [sup.4] , Chiho Iseki [sup.5] , Kunitoshi [...]

Published
2023
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11. Glucosuria and all-cause mortality among general screening participants

Author

Iseki, Kunitoshi, Konta, Tsuneo, Asahi, Koichi, Yamagata, Kunihiro, Fujimoto, Shouichi, Tsuruya, Kazuhiko, Narita, Ichiei, Kasahara, Masato, Shibagaki, Yugo, Moriyama, Toshiki, Kondo, Masahide, Iseki, Chiho, Watanabe, Tsuyoshi, and For the “Design of the Comprehensive Health Care System for Chronic Kidney Disease (CKD) Based on the Individual Risk Assessment by Specific Health Check”

Published
2018
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14. Impact of the Triglycerides to High-Density Lipoprotein Cholesterol Ratio on the Incidence and Progression of CKD: A Longitudinal Study in a Large Japanese Population

Author

Tsuruya, Kazuhiko, Yoshida, Hisako, Nagata, Masaharu, Kitazono, Takanari, Iseki, Kunitoshi, Iseki, Chiho, Fujimoto, Shouichi, Konta, Tsuneo, Moriyama, Toshiki, Yamagata, Kunihiro, Narita, Ichiei, Kimura, Kenjiro, Kondo, Masahide, Asahi, Koichi, Kurahashi, Issei, Ohashi, Yasuo, and Watanabe, Tsuyoshi

Published
2015
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15. A Prediction Model with Lifestyle in Addition to Previously Known Risk Factors Improves Its Predictive Ability for Cardiovascular Death

Author

Nishimoto, Masatoshi, Tagawa, Miho, Matsui, Masaru, Eriguchi, Masahiro, Samejima, Ken-ichi, Iseki, Kunitoshi, Iseki, Chiho, Asahi, Koichi, Yamagata, Kunihiro, Konta, Tsuneo, Fujimoto, Shouichi, Narita, Ichiei, Kasahara, Masato, Shibagaki, Yugo, Moriyama, Toshiki, Kondo, Masahide, Watanabe, Tsuyoshi, and Tsuruya, Kazuhiko

Published
2019
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16. Mortality risk among screened subjects of the specific health check and guidance program in Japan 2008–2012

Author

Iseki, Kunitoshi, Asahi, Koichi, Yamagata, Kunihiro, Fujimoto, Shouichi, Tsuruya, Kazuhiko, Narita, Ichiei, Konta, Tsuneo, Kasahara, Masato, Shibagaki, Yugo, Yoshida, Hisako, Moriyama, Toshiki, Kondo, Masahide, Iseki, Chiho, Watanabe, Tsuyoshi, and for the “Design of the comprehensive health care system for chronic kidney disease (CKD) based on the individual risk assessment by Specific Health Check”

Published
2017
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18. Underestimating chronic kidney disease by urine dipstick without serum creatinine as a screening tool in the general Japanese population

Author

Uchida, Daisuke, Kawarazaki, Hiroo, Shibagaki, Yugo, Yasuda, Takashi, Tominaga, Naoto, Watanabe, Tsuyoshi, Asahi, Koichi, Iseki, Kunitoshi, Iseki, Chiho, Tsuruya, Kazuhiko, Yamagata, Kunihiro, Moriyama, Toshiki, Narita, Ichiei, Fujimoto, Shoichi, Konta, Tsuneo, Kondo, Masahide, Kasahara, Masato, and Kimura, Kenjiro

Published
2015
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19. Trends of the Incidence and Prevalence of Metabolic Syndrome Among Participants of the Specific Health Check and Guidance System in Japan

Author

Iseki, Kunitoshi, primary, KONTA, TSUNEO, additional, ASAHI, KOICHI, additional, FUJIMOTO, SHOUICHI, additional, MORIYAMA, TOSHIKI, additional, YAMAGATA, KUNIHIRO, additional, TSURUYA, KAZUHIKO, additional, NARITA, ICHIEI, additional, KONDO, MASAHIDE, additional, KASAHARA, MASATO, additional, SHIBAGAKI, YUGO, additional, ISEKI, CHIHO, additional, and WATANABE, TSUYOSHI, additional

Published
2021
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30. Impact of Metabolic Syndrome on the Mortality Rate among Participants in a Specific Health Check and Guidance Program in Japan

Author

Iseki, Kunitoshi, primary, Konta, Tsuneo, additional, Asahi, Koichi, additional, Yamagata, Kunihiro, additional, Fujimoto, Shouichi, additional, Tsuruya, Kazuhiko, additional, Narita, Ichiei, additional, Kasahara, Masato, additional, Shibagaki, Yugo, additional, Moriyama, Toshiki, additional, Kondo, Masahide, additional, Iseki, Chiho, additional, and Watanabe, Tsuyoshi, additional

Published
2020
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32. Development of Risk Prediction Equations for Incident Chronic Kidney Disease

Author

Nelson, Robert G., Grams, Morgan E., Ballew, Shoshana H., Sang, Yingying, Azizi, Fereidoun, Chadban, Steven J., Chaker, Layal, Dunning, Stephan C., Fox, Caroline, Hirakawa, Yoshihisa, Iseki, Kunitoshi, Ix, Joachim, Jafar, Tazeen H., Koettgen, Anna, Naimark, David M. J., Ohkubo, Takayoshi, Prescott, Gordon J., Rebholz, Casey M., Sabanayagam, Charumathi, Sairenchi, Toshimi, Schoettker, Ben, Shibagaki, Yugo, Tonelli, Marcello, Zhang, Luxia, Gansevoort, Ron T., Matsushita, Kunihiro, Woodward, Mark, Coresh, Josef, Shalev, Varda, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Grams, Morgan, Polkinghorne, Kevan, Atkins, Robert, Chadban, Steven, Liu, Lisheng, Zhao, Ming-Hui, Wang, Fang, Wang, Jinwei, Sacks, Frank M., Curhan, Gary C., Shlipak, Michael, Sarnak, Mark J., Katz, Ronit, Hiramoto, Jade, Iso, Hiroyasu, Muraki, Isao, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Brenner, Hermann, Saum, Kai-Uwe, Rothenbacher, Dietrich, Fox, Caroline S., Hwang, Shih-Jen, Chang, Alex R., Green, Jamie, Singh, Gurmukteshwar, Kirchner, H. Lester, Black, Corri, Marks, Angharad, Clark, Laura, Fluck, Nick, Cirillo, Massimo, Hallan, Stein, Ovrehus, Marius, Langlo, Knut Asbjorn, Romundstad, Solfrid, Irie, Fujiko, Correa, Adolfo, Young, Bessie A., Boulware, L. Ebony, Mwasongwe, Stanford, Watanabe, Tsuyoshi, Yamagata, Kunihiro, Asahi, Koichi, Chodick, Gabriel, Sarnak, Mark, Peralta, Carmen, Bottinger, Erwin, Nadkarni, Girish N., Ellis, Stephen B., Nadukuru, Rajiv, Kenealy, Timothy, Elley, C. Raina, Collins, John F., Drury, Paul L., Asayama, Kei, Kikuya, Masahiro, Metoki, Hirohito, Nakayama, Masaaki, Iseki, Chiho, Looker, Helen C., Knowler, William C., Bakker, Stephan J. L., Heerspink, Hiddo J. L., Bernardo, Rancho, Jassal, Simerjot K., Bergstrom, Jaclyn, Ix, Joachim H., Barrett-Connor, Elizabeth, Kovesdy, Csaba P., Sumida, Keiichi, Kalantar-Zadeh, Kamyar, Sedaghat, Sanaz, Ikram, M. Arfan, Hoorn, Ewout J., Dehghan, Abbas, Carrero, Juan J., Evans, Marie, Elinder, Carl-Gustaf, Wettermark, Bjorn, Wong, Tien Y., Cheng, Ching-Yu, Sokor, Riswana Banu Binte Mohamed Abdul, Wen, Chi-Pang, Tsao, Chwen-Keng, Tsai, Min-Kuang, Chen, Chien-Hua, Hosseinpanah, Farhad, Hadaegh, Farzad, Mirbolouk, Mohammadhassan, Solbu, Marit Dahl, Eriksen, Bjorn Odvar, Jenssen, Trond Geir, Eggen, Anne Elise, Lannfelt, Lars, Larsson, Anders, Ärnlöv, Johan, Bilo, Henk J. G., Landman, Gijs W. D., van Hateren, Kornelis J. J., Kleefstra, Nanne, Stempniewicz, Nikita, Cuddeback, John, Ciemins, Elizabeth, Levey, Andrew S., Chen, Jingsha, Kwak, Lucia, Surapeneni, Aditya, Nelson, Robert G., Grams, Morgan E., Ballew, Shoshana H., Sang, Yingying, Azizi, Fereidoun, Chadban, Steven J., Chaker, Layal, Dunning, Stephan C., Fox, Caroline, Hirakawa, Yoshihisa, Iseki, Kunitoshi, Ix, Joachim, Jafar, Tazeen H., Koettgen, Anna, Naimark, David M. J., Ohkubo, Takayoshi, Prescott, Gordon J., Rebholz, Casey M., Sabanayagam, Charumathi, Sairenchi, Toshimi, Schoettker, Ben, Shibagaki, Yugo, Tonelli, Marcello, Zhang, Luxia, Gansevoort, Ron T., Matsushita, Kunihiro, Woodward, Mark, Coresh, Josef, Shalev, Varda, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Grams, Morgan, Polkinghorne, Kevan, Atkins, Robert, Chadban, Steven, Liu, Lisheng, Zhao, Ming-Hui, Wang, Fang, Wang, Jinwei, Sacks, Frank M., Curhan, Gary C., Shlipak, Michael, Sarnak, Mark J., Katz, Ronit, Hiramoto, Jade, Iso, Hiroyasu, Muraki, Isao, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Brenner, Hermann, Saum, Kai-Uwe, Rothenbacher, Dietrich, Fox, Caroline S., Hwang, Shih-Jen, Chang, Alex R., Green, Jamie, Singh, Gurmukteshwar, Kirchner, H. Lester, Black, Corri, Marks, Angharad, Clark, Laura, Fluck, Nick, Cirillo, Massimo, Hallan, Stein, Ovrehus, Marius, Langlo, Knut Asbjorn, Romundstad, Solfrid, Irie, Fujiko, Correa, Adolfo, Young, Bessie A., Boulware, L. Ebony, Mwasongwe, Stanford, Watanabe, Tsuyoshi, Yamagata, Kunihiro, Asahi, Koichi, Chodick, Gabriel, Sarnak, Mark, Peralta, Carmen, Bottinger, Erwin, Nadkarni, Girish N., Ellis, Stephen B., Nadukuru, Rajiv, Kenealy, Timothy, Elley, C. Raina, Collins, John F., Drury, Paul L., Asayama, Kei, Kikuya, Masahiro, Metoki, Hirohito, Nakayama, Masaaki, Iseki, Chiho, Looker, Helen C., Knowler, William C., Bakker, Stephan J. L., Heerspink, Hiddo J. L., Bernardo, Rancho, Jassal, Simerjot K., Bergstrom, Jaclyn, Ix, Joachim H., Barrett-Connor, Elizabeth, Kovesdy, Csaba P., Sumida, Keiichi, Kalantar-Zadeh, Kamyar, Sedaghat, Sanaz, Ikram, M. Arfan, Hoorn, Ewout J., Dehghan, Abbas, Carrero, Juan J., Evans, Marie, Elinder, Carl-Gustaf, Wettermark, Bjorn, Wong, Tien Y., Cheng, Ching-Yu, Sokor, Riswana Banu Binte Mohamed Abdul, Wen, Chi-Pang, Tsao, Chwen-Keng, Tsai, Min-Kuang, Chen, Chien-Hua, Hosseinpanah, Farhad, Hadaegh, Farzad, Mirbolouk, Mohammadhassan, Solbu, Marit Dahl, Eriksen, Bjorn Odvar, Jenssen, Trond Geir, Eggen, Anne Elise, Lannfelt, Lars, Larsson, Anders, Ärnlöv, Johan, Bilo, Henk J. G., Landman, Gijs W. D., van Hateren, Kornelis J. J., Kleefstra, Nanne, Stempniewicz, Nikita, Cuddeback, John, Ciemins, Elizabeth, Levey, Andrew S., Chen, Jingsha, Kwak, Lucia, and Surapeneni, Aditya

Abstract

IMPORTANCE: Early identification of individuals at elevated risk of developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management of underlying health conditions. OBJECTIVE: To develop assessment tools to identify individuals at increased risk of CKD, defined by reduced estimated glomerular filtration rate (eGFR). DESIGN, SETTING, AND PARTICIPANTS: Individual-level data analysis of 34 multinational cohorts from the CKD Prognosis Consortium including 5 222 711 individuals from 28 countries. Data were collected from April 1970 through January 2017. A 2-stage analysis was performed, with each study first analyzed individually and summarized overall using a weighted average. Because clinical variables were often differentially available by diabetes status, models were developed separately for participants with diabetes and without diabetes. Discrimination and calibration were also tested in 9 external cohorts (n = 2 253 540). EXPOSURES: Demographic and clinical factors. MAIN OUTCOMES AND MEASURES: Incident eGFR of less than 60 mL/min/1.73 m(2). RESULTS: Among 4 441 084 participants without diabetes (mean age, 54 years, 38% women), 660 856 incident cases (14.9%) of reduced eGFR occurred during a mean follow-up of 4.2 years. Of 781 627 participants with diabetes (mean age, 62 years, 13% women), 313 646 incident cases (40%) occurred during a mean follow-up of 3.9 years. Equations for the 5-year risk of reduced eGFR included age, sex, race/ethnicity, eGFR, history of cardiovascular disease, ever smoker, hypertension, body mass index, and albuminuria concentration. For participants with diabetes, the models also included diabetes medications, hemoglobin A(1c), and the interaction between the 2. The risk equations had a median C statistic for the 5-year predicted probability of 0.845 (interquartile range [IQR], 0.789-0.890) in the cohorts without diabetes and 0.801 (IQR, 0.750-0.819) in the cohorts with diabetes. Calib

Published
2019
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45. Development of Electrocardiographic Left Ventricular Hypertrophy and Resting Heart Rate Over Time: Findings From the OGHMA Study.

Author

Inoue, Taku, Arima, Hisatomi, Katsuimata, Yuriko, Iseki, Chiho, Kinjo, Kozen, and Iseki, Kunitoshi

Subjects
ELECTROCARDIOGRAPHY, HEART rate monitoring, PATIENT aftercare, RISK assessment, PROPORTIONAL hazards models, LEFT ventricular hypertrophy, DISEASE risk factors
Abstract

Both elevated resting heart rate (HR) and electrocardiographic left ventricular hypertrophy (ECG-LVH) are signs of a poor prognosis. Although elevated resting HR is a known risk factor for cardiovascular disease and target organ damage, the association between resting HR and the development of ECG-LVH is unclear. In the present study, 6860 subjects (4203 men, 2657 women, 19-89 years of age) without ECG-LVH at baseline were evaluated and followed for a mean duration of 3.7±1.4 years. During the follow-up period, 484 (7.1%) subjects developed ECG-LVH. Cox regression analysis revealed that each 10 beats/min increase in resting HR was associated with a 22% reduction in the development of ECG-LVH (95% confidence interval: 12%-30%, P <.0001) in men. While an increase in HR tended to be associated with the development of ECG-LVH in women, the relationship was not significant. In contrast to the concept that an elevated resting HR is a cardiovascular risk factor, these findings revealed that resting HR was negatively associated with the development of ECG-LVH in men. [ABSTRACT FROM AUTHOR]

Published
2020
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48. A nationwide prospective cohort study of patients with advanced chronic kidney disease in Japan: The Reach-J CKD cohort study

Author

Hoshino, Junichi, primary, Nagai, Kei, additional, Kai, Hirayasu, additional, Saito, Chie, additional, Ito, Yukiko, additional, Asahi, Koichi, additional, Kondo, Masahide, additional, Iseki, Kunitoshi, additional, Iseki, Chiho, additional, Okada, Hirokazu, additional, Kashihara, Naoki, additional, Narita, Ichiei, additional, Wada, Takashi, additional, Combe, Christian, additional, Pisoni, Ronald L., additional, Robinson, Bruce M., additional, and Yamagata, Kunihiro, additional

Published
2017
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49. MP390ASSOCIATION OF DIPSTICK PROTEINURIA WITH ALL CAUSE MORTALITY IN GENERAL POPULATION: RESULTS FROM THE SPECIFIC HEALTH CHECK AND GUIDANCE PROGRAM IN JAPAN

Author

Iseki, Kunitoshi, primary, Konta, Tsuneo, additional, Asahi, Koichi, additional, Yamagata, Kunihiro, additional, Fujimoto, Shouichi, additional, Tsuruya, Kazuhiko, additional, Narita, Ichiei, additional, Kasahara, Masato, additional, Shibagaki, Yugo, additional, Moriyama, Toshiki, additional, Kondo, Masahide, additional, Iseki, Chiho, additional, and Watanabe, Tsuyoshi, additional

Published
2017
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50. MP327EXPECTED RISK OF DEATH BY CKD STAGE USING STOCHASTIC LINKAGE BETWEEN DEATH CERTIFICATES AND THE SPECIFIC HEALTH CHECK PROGRAMME COHORT IN JAPAN

Author

Kondo, Masahide, primary, Yamamura, Mariko, additional, Iseki, Chiho, additional, Iseki, Kunitoshi, additional, Asahi, Koichi, additional, Yamagata, Kunihiro, additional, Fujimoto, Shouichi, additional, Tsuruya, Kazuhiko, additional, Moriyama, Toshiki, additional, Narita, Ichiei, additional, Konta, Tsuneo, additional, Shibagaki, Yugo, additional, Kasahara, Masato, additional, and Watanabe, Tsuyoshi, additional

Published
2016
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