The effect of ambient temperature on the onset of acute Stanford type B aortic dissection

VASA ◽  
2016 ◽  
Vol 45 (5) ◽  
pp. 395-401 ◽  
Author(s):  
Yeni Li ◽  
Chao Ji ◽  
Jian Zhang ◽  
Yanshuo Han
Keyword(s):  
Time Series ◽  
High Temperature ◽  
Ambient Temperature ◽  
Linear Models ◽  
Hospital Admissions ◽  
Weather Conditions ◽  
Type B ◽  
Distributed Lag ◽  
Extreme High Temperature ◽  
Acute And Prolonged Effects

Abstract. Background: The aim of this work was to study the associations between weather conditions and the occurrence of type B acute aortic dissections (ABAD). Patients and methods: This study was a retrospective review of all ABAD cases between January 1st, 2006 and December 31st, 2015. Using a time-series design and distributed lag non-linear models (DLNM), we estimated the relative risk (RR) of ABAD presentation associated with mean daily temperatures, including cumulative RR for a 28-day period, and RR for individual daily lags through 28 days. Results: A total of 213 patients were admitted with ABAD. A significant association was found between the daily maximal temperature and the number of hospital admissions for ABAD. The lower the maximal temperature, the higher the incidence of ABAD (P = 0.044). Furthermore, the onset of ABAD was higher in winter than in summer and autumn (P = 0.009 and P = 0.001). Based on a time-series analysis, this study showed that the associations between mean daily temperature and ABAD presentation were not monotonic. Compared to the centered temperature at 8°C, the cumulative 28-day (lag 0 to lag 27) RR was significantly elevated at - 20 °C and - 19 °C for ABAD (RR = 1.39; 95%CI: 1.02, 1.98 and RR = 1.36; 95%CI: 1.02, 1.98). At the extreme low temperature (- 17.7 °C) in Shenyang, the cumulative 14-day (lag 0 to 13 day) and 21-day (lag 0 to 20 day) RR were remarkably increased for ABAD (RRlag14-day = 1.34; 95%CI: 1.08, 1.40 and RRlag21-day = 1.06; 95%CI: 1.06, 1.23). For the extreme high temperature, however, no particular finding was detected regarding acute and prolonged effects on ABAD. Conclusions: In general, low ambient temperature was significantly associated with ABAD presentations in comparison with high temperature. The effects of cold were delayed by two weeks and persisted for a few days.

Analysis of the Ventilation Effects on Radon-222 Exhalation in a Dead-End Tunnel

2015 ◽  
Vol 713-715 ◽  
pp. 304-313
Author(s):  
Shu Guang Wang ◽  
Wei Yang ◽  
Qing Chen ◽  
Jian Hua Chen ◽  
Cong Han
Keyword(s):  
High Temperature ◽  
Ambient Temperature ◽  
Natural Ventilation ◽  
Weather Conditions ◽  
Calculation Model ◽  
Radon Exhalation Rate ◽  
Exhalation Rate ◽  
Radon Exhalation ◽  
Exhaust Ventilation ◽  
Dead End

The regularity of radon exhalation rate in the over-broken granite tunnel is susceptible to weather conditions and ventilation styles. Based on the calculation model of radon exhalation in tunnel, some experiments have been carried out to analyze the variations of radon exhalation in cases of natural ventilation, blowing ventilation and exhaust ventilation separately. The results show that there is a linear relation between the radon exhalation and the natural ventilation quantity, and also between the radon exhalation and the ambient temperature; the radon exhalation in the case of exhaust ventilation is 63% higher than that in the blowing case under the condition of the same ventilation quantity and ambient temperature. Therefore, it is suggested that operation in the tunnel in high temperature be avoided in summer, and the blowing ventilation be adopted as an effective way for ventilation.

scholarly journals Association between temperature and back pain among lumbar disc herniation patients

2020 ◽  
Author(s):  
Cai Chen ◽  
Dandan Wang ◽  
Fanjie Liu ◽  
Hao Qin ◽  
Xiyuan Li ◽  
...  
Keyword(s):  
Back Pain ◽  
Ambient Temperature ◽  
Lumbar Disc Herniation ◽  
Disc Herniation ◽  
Linear Models ◽  
Lumbar Disc ◽  
Average Temperature ◽  
Distributed Lag ◽  
And Gender ◽  
The Relationship

AbstractPurposeThis paper was designed to critically provide empirical evidence for the relationship between temperature and intensity of back pain among people with lumbar disc herniation (LDH).MethodsDistributed lag linear and non-linear models (DLNM) was used to evaluate the relationship between lag-response and exposure to ambient temperature. Stratification was based on age and gender.ResultsWhen daily average temperature was on the rage of 15-23□, the risk of hospitalization was at the lowest level for men group. About below 10□, risk for male hospitalization could keep increase when lag day were during lag0-lag5 and lag20-lag28. 40<age≤50 group was little affected when they exposed to ambient temperature.

Ambient temperature and hospital admissions for acute kidney injury: A time-series analysis

2018 ◽  
Vol 616-617 ◽  
pp. 1134-1138 ◽  
Author(s):  
Youn-Hee Lim ◽  
Rina So ◽  
Choongho Lee ◽  
Yun-Chul Hong ◽  
Minseon Park ◽  
...  
Keyword(s):  
Time Series ◽  
Acute Kidney Injury ◽  
Time Series Analysis ◽  
Ambient Temperature ◽  
Hospital Admissions ◽  
Kidney Injury ◽  
Series Analysis

scholarly journals Ambient concentrations of NO2 and hospital admissions for schizophrenia

2018 ◽  
Vol 76 (2) ◽  
pp. 125-131 ◽  
Author(s):  
Lijun Bai ◽  
Xulai Zhang ◽  
Yanwu Zhang ◽  
Qiang Cheng ◽  
Jun Duan ◽  
...  
Keyword(s):  
Relative Risk ◽  
Linear Models ◽  
Hospital Admissions ◽  
Mental Health Center ◽  
Young Patients ◽  
Threshold Effects ◽  
Short Term ◽  
Record System ◽  
Distributed Lag ◽  
Short Term Exposure

ObjectivesSchizophrenia is a chronic and severe mental disorder affecting more than 21 million people worldwide. Short-term exposure to nitrogen dioxide (NO2) has been associated with hospital admissions (HAs) for mental disorders, but no study has evaluated the specific association of NO2 and schizophrenia. Additionally, the shape of the concentration–response (C–R) curve has not yet been assessed at present. This study aims to investigate the relationship between short-term exposure to NO2 and HAs for schizophrenia in Hefei, from 2014 to 2016. We also attempt to explore the C–R and the underlying effect modifiers of the association.MethodsDaily number of HAs for schizophrenia was derived from the computerised medical record system of Anhui Mental Health Center. We used a time-series Poisson generalised linear regression combined with distributed lag non-linear models to model the NO2–schizophrenia relationship.ResultsA total of 11 373 HAs were identified during the study period. An increase in levels of NO2 was significantly associated with elevated schizophrenia HAs. The estimated relative risk per IQR increase in NO2 at lag 01 was 1.10 (95% CI 1.01 to 1.18). Greater association was observed in young patients (relative risk: 1.11, 95% CI 1.02 to 1.19). The modelled C–R curves of the NO2–schizophrenia relationship suggested possible threshold effects of NO2 for all ages combined, young patients, men and both seasons.ConclusionsShort-term exposure to NO2 may be associated with increased schizophrenia HAs. Findings indicated potential threshold effects of NO2, which has important implications for health-based risk assessments.

Analysis of Extreme High-Temperature Time Series Based on Empirical Mode Decomposition

2015 ◽  
Vol 733 ◽  
pp. 914-917
Author(s):  
Hao Ma
Keyword(s):  
Time Series ◽  
High Temperature ◽  
Empirical Mode Decomposition ◽  
Periodic Variation ◽  
Wave Pattern ◽  
Temperature Time Series ◽  
Mode Decomposition ◽  
Extreme High Temperature ◽  
Scale Characteristics ◽  
Temperature Time

In this paper, considering the nonlinear and non-stationary properties of extreme high-temperature time series, we introduce Empirical Mode Decomposition to analyze the extreme high-temperature time series from 1959 to 2012 in Fengxian district of Shanghai. The scale characteristics and oscillating mode characteristics were mainly investigated. The trend of extreme high-temperature also shows periodic variation from decreasing to increasing for the recent fifty years. Analyze the reconstructed modes with the wave pattern: It shows that variability are quite large from 1997 to 1999 and from 1977 to 1982, which shows extreme high-temperature rose and fell dramatically in these periods. The volatility from 2006 to 2008 is far more dramatic than the other times. And it is the most remarkable in the recent fifty years.

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