ISSN 2436-018X
JOURNAL OF HOSPITAL GENERAL MEDICINE
JUNUARY 2024 Volume 6-1
Original article
Short Case Report
Review
Predictive Models of Falls: A Narrative Review ・・・・・・・・ Masaki Tago 12
JHGM 2024：6(1)：1-7
Original article
Comparison of the prevalence of chronic kidney
disease in patients at a university hospital general
medicine department and in a community population
Yosuke Sasaki ※ Tadashi Maeda Fumiya Komatsu
Tomoyuki Shigeta Naoyasu Kashima Yoshihisa Urita
Tomoyuki Shigeta Naoyasu Kashima Yoshihisa Urita
Department of General Medicine and Emergency Care, Toho University School of Medicine, Tokyo, Japan
Key Words：academic medical centers, big data, gatekeepers, hospitalists, university hospitals
[Introduction] Despite the unmet need for management of chronic kidney disease (CKD), the prevalence of CKD among patients visiting a university hospital general medicine department (UHGMD) is unknown. Thus, we performed a study to evaluate the prevalence of CKD in UHGMD patients.
[Methods] The participants were patients who visited the Department of General Medicine and Emergency Care at the Toho University Omori Medical Center from 2018 to 2021 as a surrogate of the “UHGMD population” and public data of health checkups in the Metropolitan Southern Region as a surrogate of the “community population.” We also compared our data and previously reported data.
[Results] The data of 8,545 and 117,971 participants were evaluated as UHGMD and community populations, respectively. The comparison between UHGMD and the community population revealed that the prevalence of CKD in UHGMD patients (15.2%) was 1.4 times that in the community population (10.6%). The prevalence of CKD in UHGMD patients in this study was intermediate between the prevalence in patients managed by nephrologists (20.6%) and in the community population (4.2-16.2%).
[Conclusions] The prevalence of CKD in UHGMD patients may reflect the hospital population before nephrologists are involved.
[Methods] The participants were patients who visited the Department of General Medicine and Emergency Care at the Toho University Omori Medical Center from 2018 to 2021 as a surrogate of the “UHGMD population” and public data of health checkups in the Metropolitan Southern Region as a surrogate of the “community population.” We also compared our data and previously reported data.
[Results] The data of 8,545 and 117,971 participants were evaluated as UHGMD and community populations, respectively. The comparison between UHGMD and the community population revealed that the prevalence of CKD in UHGMD patients (15.2%) was 1.4 times that in the community population (10.6%). The prevalence of CKD in UHGMD patients in this study was intermediate between the prevalence in patients managed by nephrologists (20.6%) and in the community population (4.2-16.2%).
[Conclusions] The prevalence of CKD in UHGMD patients may reflect the hospital population before nephrologists are involved.
JHGM 2024：6(1)：8-11
Short Case Report
Effect of Yokukansan on phantom limb pain
after traumatic amputation of lower limb
Takayuki Yamaki
Department of General medical surgery, Independent Administrative Institution National Hospital Organization Miyagi Hospital
Key Words：Phantom limb sensations, Phantom limb pain, Yokukansan
JHGM 2024：6(1)：12-16
2) Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
3) Shizuoka General Hospital, Shizuoka, Japan
4) Department of General Medicine, Yuai-Kai Foundation and Oda Hospital, Saga, Japan
¶These authors contributed equally to this work.
Review
Predictive Models of Falls: A Narrative Review
Masaki Tago 1)¶※ Risa Hirata 1)¶ Naoko Katsuki 1) Eiji Nakatani2) Chihiro Saito 3)
Shizuka Yaita 1) Yoshimasa Oda 4) Midori Tokushima 1) Yuka Hirakawa 1)
Shun Yamashita 1) Yoshinori Tokushima 1) Hidetoshi Aihara 1)
Motoshi Fujiwara 1) Shu-ichi Yamashita 1)
1) Department of General Medicine, Saga University Hospital, Saga, JapanShizuka Yaita 1) Yoshimasa Oda 4) Midori Tokushima 1) Yuka Hirakawa 1)
Shun Yamashita 1) Yoshinori Tokushima 1) Hidetoshi Aihara 1)
Motoshi Fujiwara 1) Shu-ichi Yamashita 1)
2) Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
3) Shizuoka General Hospital, Shizuoka, Japan
4) Department of General Medicine, Yuai-Kai Foundation and Oda Hospital, Saga, Japan
¶These authors contributed equally to this work.
Although many predictive models of falls have been developed, there are no firmly established and widely used predictive models of falls for health care settings in Japan. In this review, we elucidate the features of existing fall predictive models and compare them with our independently developed in-hospital fall predictive model, which includes Bedriddenness ranks (Saga Fall Risk Model 2, SFRM2). We conducted a narrative review after searching PubMed to identify studies on the development and/or validation of fall predictive models. We describe the outcomes, study participants, related factors, and development methods in those studies. A comparison was made with our developed SFRM2 and its features were analyzed. The reported fall predictive models exhibit considerable diversity in the number of items, evaluation methods, and model area under the receiving operator characteristic curve, with no consistent trends. Compared with previously developed fall prediction models, the SFRM2 only comprises eight items, allowing for simplified assessment through questionnaire-based inquiry without additional in-depth assessment upon admission.