1.Retrospective analysis of palliative care as performed concurrently with cancer treatment
Takura Ochi ; Hisashi Nakahashi ; Shinzo Tsubota ; Toru Sasaki ; Naoki Nishikubo ; Yoji Mori ; Miyuki Yoshida
Palliative Care Research 2015;10(1):922-925
Purpose:This study aims to clarify the current situation where palliative care is concurrently performed with cancer therapy, and its effectiveness. Methods:Medical charts of patients cared for at home between April 1, 2012 and March 31, 2013 were retrospectively investigated. Results:14 out of 192 home-care cancer patients were given chemotherapy. The palliative medication period was 192 days and chemotherapy lasted 89.8 days on average. From the beginning of home palliative care until death, patients received chemotherapy for almost half of this period. Consideration:By establishing trust between patients and caregivers, palliative care serves the patients needs well, even after cancer treatment is completed. Home palliative care is a significant part of the entire process.
2.Renal Function and Mortality in Patients with Infective Endocarditis
Yuji Nishizaki ; Takuya Watanabe ; Yasuharu Tokuda ; Miyuki Futatsuyama ; Keiichi Furukawa ; Nobuyoshi Mori ; Yusuke Tsugawa ; Heath Yuki ; Keiichi Tamagaki ; Fumika Taki ; Hiroyuki Yamamoto ; Takafumi Ohiwa ; Yasuhiro Komatsu
General Medicine 2012;13(1):19-24
Objectives: Infective endocarditis (IE) has an extremely poor prognosis unless appropriate treatment is received. Hemodialysis patients with IE show higher rates of morbidity and mortality in comparison with non-dialysis patients with IE. We focused on hemodialysis patients, as well as patients in other stages of chronic kidney disease. We sought to assess the relationship between renal function and mortality in patients with IE.
Methods: We carried out a retrospective cohort study on 45 consecutive patients with IE in an urban teaching hospital between November 2003 and August 2008. We collected demographic and clinical data as well as pre- and post-discharge outcomes. Patients were subdivided into four groups according to their eGFR level at admission: A: eGFR≧60 ml/min/1.73 m2 (n=23); B: eGFR 30-59 ml/min/1.73 m2 (n=15); C: eGFR<30 ml/min/1.73 m2 (n=3); and, D: dialysis patients (n=3). It was not possible to determine the outcome status of one patient. The Trend Test was used to evaluate the association between renal function and mortality.
Results: There were 29 male and 16 female patients with IE and the mean age was 67.9+-17.6 (SD). There were 10 diabetic patients (22%). Thirty-nine patients (84%) were either discharged or transferred to another hospital. Seven patients (16%) died: two (9%) Group A patients; three (20%) Group B patients; no Group C patients; and, two (67%) Group D patients. Patients with lower eGFR had higher mortality rates (Trend Test, P=0.046).
Conclusion: We presume a trend towards a higher mortality rate in conjunction with advancing CKD stage.
3.Differences in the effects of BMI on bone microstructure between loaded and unloaded bones assessed by HR-pQCT in Japanese postmenopausal women
Norifumi FUJII ; Manabu TSUKAMOTO ; Nobukazu OKIMOTO ; Miyuki MORI ; Yoshiaki IKEJIRI ; Toru YOSHIOKA ; Makoto KAWASAKI ; Nobuhiro KITO ; Junya OZAWA ; Ryoichi NAKAMURA ; Shogo TAKANO ; Saeko FUJIWARA
Osteoporosis and Sarcopenia 2021;7(2):54-62
Objectives:
The relationship between weight-related load and bone mineral density (BMD)/bone microstructure under normal load conditions using high-resolution peripheral quantitative computed tomography (HR-pQCT) remains unconfirmed. The study aims to investigate the differences in effect of body mass index (BMI) on BMD/bone microstructure of loaded and unloaded bones, respectively, in Japanese postmenopausal women.
Methods:
Fifty-seven postmenopausal women underwent HR-pQCT on the tibia and radius. Correlation analysis, principal component (PC) analysis, and hierarchical multiple regression were performed to examine the relationship between BMI and HR-pQCT parameters.
Results:
Several microstructural parameters of the tibia and radius correlated with BMI through a simple correlation analysis, and these relationships remained unchanged even with an age-adjusted partial correlation analysis. PC analysis was conducted using seven bone microstructure parameters. The first PC (PC1) reflected all parameters of trabecular and cortical bone microstructures, except for cortical porosity, whereas the second PC (PC2) reflected only cortical bone microstructure. Hierarchical multiple regression analysis indicated that BMI was more strongly related to BMD/bone microstructure in the tibia than in the radius. Furthermore, BMI was associated with trabecular/cortical BMD, and PC1 (not PC2) of the tibia and radius. Thus, BMI was strongly related to the trabecular bone microstructure rather than the cortical bone microstructure.
Conclusions
Our data confirmed that BMI is associated with volumetric BMD and trabecular bone microstructure parameters in the tibia and radius. However, although BMI may be more related to HRpQCT parameters in the tibia than in the radius, the magnitude of association is modest.
4.Differences in the effects of BMI on bone microstructure between loaded and unloaded bones assessed by HR-pQCT in Japanese postmenopausal women
Norifumi FUJII ; Manabu TSUKAMOTO ; Nobukazu OKIMOTO ; Miyuki MORI ; Yoshiaki IKEJIRI ; Toru YOSHIOKA ; Makoto KAWASAKI ; Nobuhiro KITO ; Junya OZAWA ; Ryoichi NAKAMURA ; Shogo TAKANO ; Saeko FUJIWARA
Osteoporosis and Sarcopenia 2021;7(2):54-62
Objectives:
The relationship between weight-related load and bone mineral density (BMD)/bone microstructure under normal load conditions using high-resolution peripheral quantitative computed tomography (HR-pQCT) remains unconfirmed. The study aims to investigate the differences in effect of body mass index (BMI) on BMD/bone microstructure of loaded and unloaded bones, respectively, in Japanese postmenopausal women.
Methods:
Fifty-seven postmenopausal women underwent HR-pQCT on the tibia and radius. Correlation analysis, principal component (PC) analysis, and hierarchical multiple regression were performed to examine the relationship between BMI and HR-pQCT parameters.
Results:
Several microstructural parameters of the tibia and radius correlated with BMI through a simple correlation analysis, and these relationships remained unchanged even with an age-adjusted partial correlation analysis. PC analysis was conducted using seven bone microstructure parameters. The first PC (PC1) reflected all parameters of trabecular and cortical bone microstructures, except for cortical porosity, whereas the second PC (PC2) reflected only cortical bone microstructure. Hierarchical multiple regression analysis indicated that BMI was more strongly related to BMD/bone microstructure in the tibia than in the radius. Furthermore, BMI was associated with trabecular/cortical BMD, and PC1 (not PC2) of the tibia and radius. Thus, BMI was strongly related to the trabecular bone microstructure rather than the cortical bone microstructure.
Conclusions
Our data confirmed that BMI is associated with volumetric BMD and trabecular bone microstructure parameters in the tibia and radius. However, although BMI may be more related to HRpQCT parameters in the tibia than in the radius, the magnitude of association is modest.