RATIONALE/OBJECTIVE

Aneurysmal subarachnoid hemorrhage (aSAH) may be associated with meteorologic factors in temperate countries. The authors aimed to investigate the relationship between meteorologic factors and aSAH admissions in the Philippines, a tropical country with two seasons: rainy and dry.

A census review of aSAH admissions from 2015 to 2019 at a tertiary hospital was performed. Meteorologic data were collected for the same time period, and statistical analysis was performed.

A total of 660 patients were admitted for aSAH, 275 and 385 during the rainy and dry seasons, respectively. August and October had the greatest number of mean admissions (13.2) while February had the least (6.2). There was a moderate positive correlation between aSAH admissions and mean temperature. Negligible to weak negative correlations were seen between aSAH admissions and humidity, barometric pressure and precipitation. However, there was no correlation on regression analysis.

There were no significant differences in aSAH admissions between rainy and dry seasons. The authors found an increase in aSAH admissions during months with higher temperatures and HI, and weak to negligible negative correlations between aSAH admissions and humidity, barometric pressure, and precipitation. These findings may inform health care facilities in terms of readiness for aSAH admissions.

BACKGROUND: Hemorrhagic stroke (HS) is associated with significant disability and mortality. However, the relationship between meteorological factors and hemorrhagic stroke, as well as the potential moderating role of these factors, remains unclear. METHODS: Daily data on HS, air pollution, and meteorological conditions were collected from January 2015 to December 2021 in Ganzhou to analyze the relationship between meteorological factors and HS admissions. This analysis employed a time-stratified case-crossover design in conjunction with a distributional lag nonlinear model. Additionally, a bivariate response surface modelling was utilized to further investigate the interaction between meteorological factors and particulate matter. The study also stratified the analyses by gender and age. To investigate the potential impact of extreme weather conditions on HS, this study defined the 97.5th percentile as representing extremely high weather conditions, while the 2.5th percentile was classified as extremely low. RESULTS: In single-day lags, the risk of admissions for HS was significantly associated with extremely low temperature (lag 1-2 and lag 13-14), extremely low humidity (lag 1 and lag 9-12), and extremely high precipitation (lag 2-7). Females exhibited greater susceptibility to extremely low temperature than males within the single-day lag pattern in the subcomponent layer, with a maximum relative risk (RR) that was 7% higher. In the cumulative lag analysis, the risk of HS admissions was significantly associated with extremely high temperature (lag 0-8∼lag 0-14), extremely low humidity (lag 0-2∼lag 0-14), and extremely high precipitation (lag 0-4∼lag 0-14). Within the cumulative lag day structure of the subcomponent layer, both extremely low and extremely high temperature had a more pronounced effect on females and aged ≥65 years. The risk of HS admissions was positively associated with extremely high barometric pressure in the female subgroups (lag 0-1 and lag 0-2). The highest number of HS admissions occurred when high PM_2.5 concentrations coexisted with low precipitation. CONCLUSIONS Meteorological factors were significantly associated with the risk of hospital admissions for HS. Individuals who were female and aged ≥65 years were found to be more susceptible to these meteorological influences. Additionally, an interaction was observed between airborne particulate matter and meteorological factors. These findings contributed new evidence to the association between meteorological factors and HS.
China/epidemiology* ; Humans ; Female ; Male ; Aged ; Middle Aged ; Cross-Over Studies ; Hospitalization/statistics & numerical data* ; Adult ; Hemorrhagic Stroke/etiology* ; Meteorological Concepts ; Weather ; Particulate Matter/analysis* ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Aged, 80 and over ; Young Adult

BACKGROUND: Prior studies have shown that drivers with type 2 diabetes are more likely to be involved in motor vehicle collisions (MVCs) compared to the general population. Certain meteorological factors have been increasingly recognized as contributors to MVC risk. This study aims to examine the association of MVCs with temperature, rainfall, wind speed, and sunshine duration among drivers with type 2 diabetes. METHODS: Using Taiwan's National Health Insurance data (2019-2021), we identified individuals diagnosed with type 2 diabetes and linked their records to the Police-Reported Traffic Accident Registry to obtain daily MVC counts. Meteorological data were sourced from the Central Weather Administration. Associations between daily weather conditions and MVCs were assessed using a Distributed Lag Non-Linear Model. RESULTS: Over the 1,096-day study period, 170,468 MVC events involving drivers with type 2 diabetes were recorded. A U-shaped association was observed between same-day temperature and MVC rates. Compared with the reference temperature of 17.5 °C, both lower temperatures (≤15 °C; rate ratio [RR] = 1.014-1.053) and higher temperatures (≥30 °C; RR = 1.062) were associated with increased MVC risk. Rainfall showed an inverse relationship with MVCs. Compared with 70 mm of rainfall, the lowest MVC rate occurred at 129 mm (RR = 0.873), while the highest was on rain-free days (0 mm; RR = 1.068). Stronger effects were observed when lag periods up to 14 days were considered. Wind speed and sunshine duration were not significantly associated with MVC risk. CONCLUSIONS These findings suggest that drivers with type 2 diabetes should exercise greater caution on days with extreme temperatures or in days with lesser rainfall, as these conditions may elevate MVC risk.
Humans ; Diabetes Mellitus, Type 2/epidemiology* ; Taiwan/epidemiology* ; Accidents, Traffic/statistics & numerical data* ; Male ; Middle Aged ; Female ; Weather ; Aged ; Adult ; Temperature ; Risk Factors

Objectives: It is unclear whether G protein-coupled receptor 61 (GPR61) affecting body weight, plays a role in the association between birth weight and weather. This study aimed to assess the effects of prenatal weather and GPR61 on birth weight. Methods: A total of 567 mother-newborn pairs were recruited in Houzhai Center Hospital during 2011-2012. We detected the maternal and neonatal GPR61 promoter methylation levels, and obtained meteorological and air pollution data. Results: A positive association was observed between maternal and neonatal GPR61 methylation levels, and both of them were affected by precipitation, relative humidity (RH) and daily temperature range (DTR). Birth weight was associated negatively with RH and positively with DTR ( P < 0.05). A significant association was observed between birth weight and neonatal GPR61 methylation. We observed that maternal GPR61 methylation seemed to modify associations between weather and birth weight ( P _interaction < 0.10), while neonatal GPR61 methylation mediated the effects of RH and DTR on birth weight ( P < 0.05). Conclusions Our findings revealed the significant associations among prenatal weather, GPR61 methylation and birth weight. Maternal GPR61 methylation may modify the susceptibility of birth weight to prenatal weather conditions, while neonatal GPR61 methylation may be a bridge of the effects of prenatal RH and DTR on birth weight.
Air Pollution/analysis* ; Birth Weight ; Female ; Humans ; Infant, Newborn ; Nerve Tissue Proteins ; Pregnancy ; Receptors, G-Protein-Coupled/metabolism* ; Temperature ; Weather

Objective: Previous studies have shown that meteorological factors may increase COVID-19 mortality, likely due to the increased transmission of the virus. However, this could also be related to an increased infection fatality rate (IFR). We investigated the association between meteorological factors (temperature, humidity, solar irradiance, pressure, wind, precipitation, cloud coverage) and IFR across Spanish provinces ( Methods: We estimated IFR as excess deaths (the gap between observed and expected deaths, considering COVID-19-unrelated deaths prevented by lockdown measures) divided by the number of infections (SARS-CoV-2 seropositive individuals plus excess deaths) and conducted Spearman correlations between meteorological factors and IFR across the provinces. Results: We estimated 2,418,250 infections and 43,237 deaths. The IFR was 0.03% in < 50-year-old, 0.22% in 50-59-year-old, 0.9% in 60-69-year-old, 3.3% in 70-79-year-old, 12.6% in 80-89-year-old, and 26.5% in ≥ 90-year-old. We did not find statistically significant relationships between meteorological factors and adjusted IFR. However, we found strong relationships between low temperature and unadjusted IFR, likely due to Spain's colder provinces' aging population. Conclusion The association between meteorological factors and adjusted COVID-19 IFR is unclear. Neglecting age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses.
Adult ; Aged ; Aged, 80 and over ; COVID-19/virology* ; Humans ; Meteorological Concepts ; Middle Aged ; Pandemics/statistics & numerical data* ; SARS-CoV-2/physiology* ; Spain/epidemiology* ; Weather ; Young Adult

Seed vigor is a key factor affecting seed quality. The mechanical drying process exerts a significant influence on rice seed vigor. The initial moisture content (IMC) and drying temperature are considered the main factors affecting rice seed vigor through mechanical drying. This study aimed to determine the optimum drying temperature for rice seeds according to the IMC, and elucidate the mechanisms mediating the effects of drying temperature and IMC on seed vigor. Rice seeds with three different IMCs (20%, 25%, and 30%) were dried to the target moisture content (14%) at four different drying temperatures. The results showed that the drying temperature and IMC had significant effects on the drying performance and vigor of the rice seeds. The upper limits of drying temperature for rice seeds with 20%, 25%, and 30% IMCs were 45, 42, and 38 °C, respectively. The drying rate and seed temperature increased significantly with increasing drying temperature. The drying temperature, drying rate, and seed temperature showed extremely significant negative correlations with germination energy (GE), germination rate, germination index (GI), and vigor index (VI). A high IMC and drying temperature probably induced a massive accumulation of hydrogen peroxide (H₂O₂) and superoxide anions in the seeds, enhanced superoxide dismutase (SOD) and catalase (CAT) activity, and increased the abscisic acid (ABA) content. In the early stage of seed germination, the IMC and drying temperature regulated seed germination through the metabolism of H₂O₂, gibberellin acid (GA), ABA, and α-amylase. These results indicate that the metabolism of reactive oxygen species (ROS), antioxidant enzymes, GA, ABA, and α-amylase might be involved in the mediation of the effects of drying temperature on seed vigor. The results of this study provide a theoretical basis and technical guidance for the mechanical drying of rice seeds.
Abscisic Acid/metabolism* ; Antioxidants/pharmacology* ; Catalase/metabolism* ; Gene Expression Regulation, Plant/drug effects* ; Germination ; Gibberellins/metabolism* ; Hydrogen Peroxide/chemistry* ; Malondialdehyde/chemistry* ; Oryza/metabolism* ; Oxygen/chemistry* ; Plant Proteins/genetics* ; Reactive Oxygen Species ; Seeds/metabolism* ; Superoxide Dismutase/metabolism* ; Superoxides/chemistry* ; Temperature ; Weather ; alpha-Amylases/metabolism*

China ; Deep Learning ; Emergency Service, Hospital/statistics & numerical data* ; Forecasting/methods* ; Humans ; Triage ; Weather

PURPOSE: Oak is the dominant tree species in Korea. Oak pollen has the highest sensitivity rate among all allergenic tree species in Korea. A deep neural network (DNN)-based estimation model was developed to determine the concentration of oak pollen and overcome the shortcomings of conventional regression models. METHODS: The DNN model proposed in this study utilized weather factors as the input and provided pollen concentrations as the output. Weather and pollen concentration data were used from 2007 to 2016 obtained from the Korea Meteorological Administration pollen observation network. Because it is difficult to prevent over-fitting and underestimation by using a DNN model alone, we developed a bootstrap aggregating-type ensemble model. Each of the 30 ensemble members was trained with random sampling at a fixed rate according to the pollen risk grade. To verify the effectiveness of the proposed model, we compared its performance with those of models of regression and support vector regression (SVR) under the same conditions, with respect to the prediction of pollen concentrations, risk levels, and season length. RESULTS: The mean absolute percentage error in the estimated pollen concentrations was 11.18%, 10.37%, and 5.04% for the regression, SVR and DNN models, respectively. The start of the pollen season was estimated to be 20, 22, and 6 days earlier than that predicted by the regression, SVR and DNN models, respectively. Similarly, the end of the pollen season was estimated to be 33, 20, and 9 days later that predicted by the regression, SVR and DNN models, respectively. CONCLUSIONS: Overall, the DNN model performed better than the other models. However, the prediction of peak pollen concentrations needs improvement. Improved observation quality with optimization of the DNN model will resolve this issue.
Korea ; Pollen ; Quercus ; Rhinitis, Allergic ; Rhinitis, Allergic, Seasonal ; Seasons ; Trees ; Weather

BACKGROUND/AIMS: Ustekinumab is effective in active Crohn's disease. In a retrospective study, we assessed the clinical outcome in nonresponders to anti-tumor necrosis factor therapy, and/or conventional therapy and/or the α4β7-integrin inhibitor vedolizumab. As approval study populations do not always reflect the average “real world” patient cohort, we assessed weather patients who would not have qualified for approval studies show similar outcomes. METHODS: Forty-one patients with mild to severe active Crohn's disease were treated with ustekinumab (intravenous 6 mg per kg/body weight) followed by subcutaneous ustekinumab (90 mg) at week 8. Depending on the clinical response maintenance therapy was chosen every 8 or 12 weeks. Clinical response was defined by Crohn's Disease Activity Index (CDAI) decline, decline of stool frequency or clinical improvement. Inclusion criteria for approval studies were assessed. RESULTS: The 58.5% (24/41) showed clinical response to ustekinumab. The 58.3% of this group (14/24) achieved clinical remission. Clinical response correlated significantly with drop of stool frequency and improvement of CDAI score. The 39 out of 41 patients had no side effects and we observed no serious infections. About a third of our patients would not have met ustekinumab approval study criteria. However, patients who did not meet study criteria showed clinical improvement numerically in the same range compared to patients who would have qualified for approval studies. CONCLUSIONS: Ustekinumab is effective, safe and well tolerated in a highly therapy refractory patient cohort. Even though a reasonable number of patients did not meet ustekinumab approval study criteria, approval study results seem to be representative to the overall patient cohort.
Biological Therapy ; Cohort Studies ; Crohn Disease ; Humans ; Necrosis ; Patient Selection ; Retrospective Studies ; Ustekinumab ; Weather

OBJECTIVE: Ample evidence has suggested that age at onset of Parkinson's disease (PD) is associated with heterogeneous clinical features in individuals. We hypothesized that this may be attributed to different patterns of nigrostriatal dopamine loss. METHODS: A total of 205 consecutive patients with de novo PD who underwent 18F-FP-CIT PET scans (mean follow-up duration, 6.31 years) were divided into three tertile groups according to their age at onset of parkinsonian motor symptoms. Striatal dopamine transporter (DAT) availability was compared between the old- (n = 73) and young-onset (n = 66) groups. In addition, the risk of developing freezing of gait (FOG) and longitudinal requirements for dopaminergic medications were examined. RESULTS: The old-onset PD group (mean age at onset, 72.66 years) exhibited more severe parkinsonian motor signs than the young-onset group (52.58 years), despite comparable DAT availability in the posterior putamen; moreover, the old-onset group exhibited more severely decreased DAT availability in the caudate than the young-onset group. A Cox regression model revealed that the old-onset PD group had a higher risk for developing FOG than the young-onset group [hazard ratio 2.523, 95% confidence interval (1.239–5.140)]. The old-onset group required higher doses of dopaminergic medications for symptom control than the young-onset group over time. CONCLUSION: The present study demonstrated that the old-onset PD group exhibited more severe dopamine loss in the caudate and were more likely to develop gait freezing, suggesting that age at onset may be one of the major determinants of the pattern of striatal dopamine depletion and progression of gait disturbance in PD.
Age of Onset ; Dopamine Plasma Membrane Transport Proteins ; Dopamine ; Follow-Up Studies ; Freezing ; Gait ; Humans ; Parkinson Disease ; Positron-Emission Tomography ; Putamen ; Weather