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Che-Sheng Chu,Shu-Li Cheng,Ya-Mei Bai,Tung-Ping Su,Shih-Jen Tsai,Tzeng-Ji Chen,Fu-Chi Yang,Mu-Hong Chen,Chih-Sung Liang 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.9
Objective Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk.Methods This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate.Results With adjustment for age, a three-class model was identified, with 42.7% of participants classified as “low comorbidity class (cluster 1)”, 44.2% as “cardiometabolic multimorbidity class (cluster 2)”, and 13.1% as “FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract).” The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708–14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281–1.953; p<0.001) in cluster 3.Conclusion Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.
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Hsu Jen-Yung,Su Chun-Jen,Yen Yung-Lin,Lee Che-Yun 한국탄소학회 2022 Carbon Letters Vol.32 No.3
Two kinds of mesocarbon microbeads (MCMBs) with different chemical composition have been synthesized. The MCMBs were molded and heat treated at temperatures above 2000 °C to obtain graphite blocks. The effects of chemical composition of MCMBs on the pore morphology, carbon texture and thermal properties of the derived graphite blocks have been explored. The pore morphology was investigated by small angle X-ray scattering technique and a graphitization-induced morphology transition was observed. When the graphitic crystallite size exceeded a threshold value, the association of crystallites and migration of randomly distributed pores took place extensively. For the graphite blocks made of MCMBs which had light components with higher aromaticity value, the growth of crystallites caused a significant enhancement in thermal conductivity for the specimens. However, for the other kind of MCMBs, their light components tended to form solid porous carbon texture after graphitization, and the thermal conductivity coefficients of their graphite blocks could only increase slightly as crystallites grew. It was suggested that the thermal resistance at the granule’s boundary became noticeable in the latter case and thus the growth of thermal conductivity coefficients was prominently hindered.
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