Development of Risk Score for Predicting 3-Year Incidence of Type 2 Diabetes: Japan Epidemiology Collaboration on Occupational Health Study.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Nanri Akiko, Nakagawa Tohru, Kuwahara Keisuke, Yamamoto Shuichiro, Honda Toru, Okazaki Hiroko, Uehara Akihiko, Yamamoto Makoto, Miyamoto Toshiaki, Kochi Takeshi, Eguchi Masafumi, Murakami Taizo, Shimizu Chii, Shimizu Makiko, Tomita Kentaro, Nagahama Satsue, Imai Teppei, Nishihara Akiko, Sasaki Naoko, Hori Ai, Sakamoto Nobuaki, Nishiura Chihiro, Totsuzaki Takafumi, Kato Noritada, Fukasawa Kenji, Huanhuan Hu, Akter Shamima, Kurotani Kayo, Kabe Isamu, Mizoue Tetsuya, Sone Tomofumi, Dohi Seitaro, Japan Epidemiology Collaboration on Occupational Health Study Group
Аннотация
METHODS: Participants were 37,416 men and women, aged 30 or older, who received periodic health checkup in 2008-2009 in eight companies. Diabetes was defined as fasting plasma glucose (FPG) ≥ 126 mg/dl, random plasma glucose ≥ 200 mg/dl, glycated hemoglobin (HbA1c) ≥ 6.5%, or receiving medical treatment for diabetes. Risk scores on non-invasive and invasive models including FPG and HbA1c were developed using logistic regression in a derivation cohort and validated in the remaining cohort.
RESULTS: The area under the curve (AUC) for the non-invasive model including age, sex, body mass index, waist circumference, hypertension, and smoking status was 0.717 (95% CI, 0.703-0.731). In the invasive model in which both FPG and HbA1c were added to the non-invasive model, AUC was increased to 0.893 (95% CI, 0.883-0.902). When the risk scores were applied to the validation cohort, AUCs (95% CI) for the non-invasive and invasive model were 0.734 (0.715-0.753) and 0.882 (0.868-0.895), respectively. Participants with a non-invasive score of ≥ 15 and invasive score of ≥ 19 were projected to have >20% and >50% risk, respectively, of developing type 2 diabetes within 3 years.
CONCLUSIONS: The simple risk score of the non-invasive model might be useful for predicting incident type 2 diabetes, and its predictive performance may be markedly improved by incorporating FPG and HbA1c.