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1.
Acta Med Okayama ; 78(2): 163-170, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38688834

ABSTRACT

A spinal cord injury (SCI) can cause severe lifelong functional disability and profoundly affect an individual's daily life. We investigated the prediction of patients' post-SCI functional outcomes by evaluating sensory scores rather than motor scores, as the latter's association with functional outcomes is well established. We examined patients' responses to a light touch (LT) and pin prick (PP) at admission and the response data's usefulness as predictors of functional outcomes (i.e., ability to perform activities of daily living) at discharge. This exploratory observational study used data from the Japanese National Spinal Cord Injury Database (SCI-J). Data from 3,676 patients who met the inclusion criteria and were admitted for an SCI between 1997 and 2020 were analyzed. The motor score of the Functional Independence Measure (mFIM) at discharge was used as an index of functional outcome. A multiple regression analysis revealed that the mFIM was associated with both the LT response (ß=0.07 (0.01), p<0.001) and the PP response (ß=0.07 (0.01), p<0.001) at admission. The false discovery rate log-worth values for LT and PP were 6.6 and 8.5, respectively. Our findings demonstrate that LT and PP scores at admission can help predict patients' functional outcomes after an SCI, although the magnitude of their contributions is not high.


Subject(s)
Activities of Daily Living , Spinal Cord Injuries , Humans , Spinal Cord Injuries/physiopathology , Male , Female , Middle Aged , Adult , Aged , Touch , Recovery of Function , Young Adult
2.
Article in English | MEDLINE | ID: mdl-38599849

ABSTRACT

BACKGROUND: Air pollution and a number of metabolic disorders have been reported to increase the risk of severe COVID-19 outcomes. This study explored the association between severe COVID-19 outcomes, metabolic disorders and environmental air pollutants, at regional level, across 38 countries. METHODS: We conducted an ecological study using COVID-19 data related to countries of the Organization for Economic Cooperation and Development (OECD), with an estimated population of 1.4 billion. They were divided into 3 regions: 1. Europe & Middle east; 2. Americas (north, central & south America); 3. East-Asia & West Pacific. The outcome variables were: COVID-19 case-fatality rate (CFR) and disability-adjusted life years (DALYs) at regional level. Freely accessible datasets related to regional DALYs, demographics and other environmental pollutants were obtained from OECD, WHO and the World in Data websites. Generalized linear model (GLM) was performed to determine the regional determinants of COVID-19 CFR and DALYs using the aggregate epidemiologic data (Dec. 2019-Dec. 2021). RESULTS: Overall cumulative deaths were 65,000 per million, for mean CFR and DALYs of 1.31 (1.2)% and 17.35 (2.3) years, respectively. Globally, GLM analysis with adjustment for elderly population rate, showed that COVID-19 CFR was positively associated with atmospheric PM2.5 level (beta = 0.64(0.0), 95%CI: 0.06-1.35; p < 0.05), diabetes prevalence (beta = 0.26(0.1), 95%CI: 0.12-0.41; p < 0.001). For COVID-19 DALYs, positive associations were observed with atmospheric NOx level (beta = 0.06(0.0), 95%CI: 0.02-0.82; p < 0.05) and diabetes prevalence (beta = 0.32(0.2), 95%CI: 0.04-0.69; p < 0.05). At regional level, adjusted GLM analysis showed that COVID-19 CFR was associated with atmospheric PM2.5 level in the Americas and East-Asia & Western Pacific region; it was associated with diabetes prevalence for countries of Europe & Middle east and East-Asia & Western Pacific region. Furthermore, COVID-19 DALYs were positively associated with atmospheric PM2.5 and diabetes prevalence for countries of the Americas only. CONCLUSION: These findings confirm that diabetes and air pollution increase the risk of disability and fatality due to COVID-19, with disparities in terms of their impact. They suggest that efficient preventive and management programs for diabetes and air pollution countermeasures would have curtailed severe COVID-19 outcome rates.


Subject(s)
Air Pollutants , COVID-19 , Diabetes Mellitus , Environmental Pollutants , Metabolic Diseases , Humans , Aged , Air Pollutants/adverse effects , Air Pollutants/analysis , Disability-Adjusted Life Years , Environmental Pollutants/analysis , Pandemics , COVID-19/epidemiology , Metabolic Diseases/epidemiology , Particulate Matter/adverse effects , Particulate Matter/analysis , Diabetes Mellitus/epidemiology
3.
Anal Sci ; 21(6): 693-5, 2005 Jun.
Article in English | MEDLINE | ID: mdl-15984208

ABSTRACT

The development of a distributed-feedback dye laser, with a pulse width and a line width of 25 ps and 8.78 pm, respectively, is described. Using this nearly Fourier-transform-limited pulse, we measured the first singlet-excited-state lifetime of 1,2,4-trichlorobenzene. The tunable picosecond dye laser developed herein has a potential for the lifetime measurement and the efficient multiphoton ionization of aromatic hydrocarbons with a larger number of chlorine atoms and shorter excited-state lifetimes.

4.
Anal Sci ; 18(3): 243-6, 2002 Mar.
Article in English | MEDLINE | ID: mdl-11918179

ABSTRACT

A distributed-feedback dye laser with a quenching cavity was designed and constructed for generating a tunable picosecond pulse with a narrow spectral linewidth. This nearly transform-limited pulse was succeedingly amplified by a triple-pass off-axis amplifier. The pulse duration and the spectral linewidth were 60 ps and 9.4 pm, respectively. The amplified pulse was frequency-doubled by second-harmonic generation, producing a 0.5-mJ pulse with no background emission. The potential advantage of this laser in the analysis of dioxin based on supersonic jet/resonance-enhanced multiphoton ionization/mass spectrometry is discussed.

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