7 research outputs found
Prediction model for long-term seizure and developmental outcomes among children with infantile epileptic spasms syndrome
IntroductionChildren with infantile epileptic spasms syndrome (IESS) are likely to experience poor outcomes. Researchers have investigated the factors related to its long-term prognosis; however, none of them developed a predictive model.ObjectiveThis study aimed to clarify the factors that influence the long-term prognosis of seizures and their development and to create a prediction model for IESS.Materials and methodsWe conducted a retrospective cohort study enrolling participants diagnosed with IESS at the Tottori University Hospital. We examined the seizure and developmental status at 3 and 7 years after the IESS onset and divided the participants into favorable and poor outcome groups. Subsequently, we analyzed the factors associated with the poor outcome group and developed a prediction model at 3 years by setting cutoff values using the receiver operating characteristic curve.ResultsData were obtained from 44 patients with IESS (19 female patients and 25 male patients). Three years after epileptic spasms (ES) onset, seizure and development were the poor outcomes in 15 (34.9%) and 27 (61.4%) patients, respectively. The persistence of ES or tonic seizures (TS) after 90 days of onset, moderate or severe magnetic resonance imaging abnormalities, and developmental delay before IESS onset were significantly associated with poor outcomes. Seven years after the onset of ES, seizures and development were the poor outcomes in 9 (45.0%) and 13 (72.2%) patients, respectively. We found that no factor was significantly associated with poor seizure outcomes, and only developmental delay before IESS onset was significantly associated with poor developmental outcomes. Our prediction model demonstrated 86.7% sensitivity and 64.3% specificity for predicting poor seizure outcomes and 88.9% sensitivity and 100% specificity for predicting poor developmental outcomes.ConclusionOur prediction model may be useful for predicting the long-term prognosis of seizures and their development after 3 years. Understanding the long-term prognosis during the initial treatment may facilitate the selection of appropriate treatment
CO Multi-line Imaging of Nearby Galaxies (COMING). III. Dynamical effect on molecular gas density and star formation in the barred spiral galaxy NGC 4303
We present the results of CO(=1-0) and CO(=1-0)
simultaneous mappings toward the nearby barred spiral galaxy NGC 4303 as a part
of the CO Multi-line Imaging of Nearby Galaxies (COMING) project. Barred spiral
galaxies often show lower star-formation efficiency (SFE) in their bar region
compared to the spiral arms. In this paper, we examine the relation between the
SFEs and the volume densities of molecular gas in the eight
different regions within the galactic disk with CO data combined with archival
far-ultraviolet and 24 m data. We confirmed that SFE in the bar region is
lower by 39% than that in the spiral arms. Moreover, velocity-alignment
stacking analysis was performed for the spectra in the individual regions. The
integrated intensity ratios of CO to CO () range from
10 to 17 as the results of stacking. Fixing a kinetic temperature of molecular
gas, was derived from via non-local thermodynamic
equilibrium (non-LTE) analysis. The density in the bar is lower
by 31-37% than that in the arms and there is a rather tight positive
correlation between SFEs and , with a correlation coefficient of
. Furthermore, we found a dependence of on the velocity
dispersion of inter-molecular clouds (). Specifically,
increases as increases when km s. On the other hand, decreases as increases when km s. These relations
indicate that the variations of SFE could be caused by the volume densities of
molecular gas, and the volume densities could be governed by the dynamical
influence such as cloud-cloud collisions, shear and enhanced inner-cloud
turbulence.Comment: 15 pages, 8 figures, accepted for publication in PAS
CO Multi-line Imaging of Nearby Galaxies (COMING) IV. Overview of the Project
Observations of the molecular gas in galaxies are vital to understanding the
evolution and star-forming histories of galaxies. However, galaxies with
molecular gas maps of their whole discs having sufficient resolution to
distinguish galactic structures are severely lacking. Millimeter wavelength
studies at a high angular resolution across multiple lines and transitions are
particularly needed, severely limiting our ability to infer the universal
properties of molecular gas in galaxies. Hence, we conducted a legacy project
with the 45 m telescope of the Nobeyama Radio Observatory, called the CO
Multi-line Imaging of Nearby Galaxies (COMING), which simultaneously observed
147 galaxies with high far-infrared flux in CO, CO, and CO
lines. The total molecular gas mass was derived using the standard
CO-to-H conversion factor and found to be positively correlated with the
total stellar mass derived from the WISE m band data. The fraction of
the total molecular gas mass to the total stellar mass in galaxies does not
depend on their Hubble types nor the existence of a galactic bar, although when
galaxies in individual morphological types are investigated separately, the
fraction seems to decrease with the total stellar mass in early-type galaxies
and vice versa in late-type galaxies. No differences in the distribution of the
total molecular gas mass, stellar mass, and the total molecular gas to stellar
mass ratio was observed between barred and non-barred galaxies, which is likely
the result of our sample selection criteria, in that we prioritized observing
FIR bright (and thus molecular gas-rich) galaxies.Comment: Accepted for publication in PASJ; 47 pages, 5 tables, 29 figures.
On-line supplementary images are available at this URL
(https://astro3.sci.hokudai.ac.jp/~radio/coming/publications/). CO data is
available at the Japanese Virtual Observatory (JVO) website
(https://jvo.nao.ac.jp/portal/nobeyama/coming.do) and the project website
(https://astro3.sci.hokudai.ac.jp/~radio/coming/data/