scholarly journals Incidence of primary spontaneous pneumothorax is not associated with microclimatic variations. Results of a seven-year survey in a temperate climate area

2017 ◽  
Vol 87 (1) ◽  
Author(s):  
Ivan Comelli ◽  
Alessandra Bologna ◽  
Andrea Ticinesi ◽  
Andrea Magnacavallo ◽  
Denis Comelli ◽  
...  
Keyword(s):  
Atmospheric Pressure ◽  
Spontaneous Pneumothorax ◽  
Meteorological Data ◽  
Primary Spontaneous Pneumothorax ◽  
Temperate Climate ◽  
Climate Data ◽  
Observational Period ◽  
Average Temperature ◽  
Ed Visits ◽  
Linear Regressions

<p>Some diseases, such as renal colic and atrial fibrillation, display an association with microclimatic variations. In particular, despite a correlation has been reported between incidence of primary spontaneous pneumothorax (PSP) and meteorological variations, the evidence remains poor and conflictual. The aim of this study was to assess the influence of day-by-day meteorological variations on the number of visits for PSP in the Emergency Department (ED). All PSP cases were retrieved from the hospital database from January 2008 to December 2014. For all the observational days, meteorological data about the Parma Province were obtained from the Environment and Climate Regional Agency.  The correlation between ED visits for PSP and variation of air temperature (T°), atmospheric pressure (hPa) and humidity (%) was then tested. The chronological data of all the visits for PSP were correlated with climate data by univariate linear regressions analysis. A total number of 608.215 ED visits were recorded during the observational period, with an average of 238 patients per day. Overall, 257 PSP cases were observed (mean age 37±21 years), 79% males and 21% females. No significant correlation between average daily visits for SP and daily change of average temperature, humidity, or atmospheric pressure was observed throughout the observational period (p&gt;0.05 for all). The results of the study show that the incidence of PSP is not significantly associated with changes of microclimatic variables. <strong></strong></p>

scholarly journals Influence of meteorological factors on the onset of primary spontaneous pneumothorax

2018 ◽  
Vol 100 (8) ◽  
pp. 606-611 ◽  
Author(s):  
Y Aljehani ◽  
R Niaz ◽  
F Almajid ◽  
H Elbawab
Keyword(s):  
Atmospheric Pressure ◽  
Pressure Difference ◽  
Spontaneous Pneumothorax ◽  
Meteorological Parameters ◽  
Meteorological Factors ◽  
Weather Conditions ◽  
Primary Spontaneous Pneumothorax ◽  
The Other ◽  
Average Temperature ◽  
Significant Difference

Introduction Although links between meteorological conditions and primary spontaneous pneumothorax have been proposed, the reports are controversial. The aim of the study is to correlate between climatic changes and the development of this condition. Materials and methods A retrospective chart review included all patient presenting with primary spontaneous pneumothorax to King Fahd Hospital, Imam Abdulrahman Bin Faisal University, Alkhobar, Saudi Arabia, from 1 January 2005 to 31 December 2016. Meteorological data were collected from King Abdulaziz airbase station using an online source for the same time interval. The data were analysed to determine differences in weather conditions between days on which primary spontaneous pneumothorax occurred and those in which it did not. Logistic regression model was used to obtain predicted risks for the onset of primary spontaneous pneumothorax with respect to weather conditions. Result Two hundred and eighty-nine patients were found to have primary spontaneous pneumothorax in the 281 days included in the study. Among the meteorological parameters, significant differences were found in average temperature and atmospheric pressure difference between day of admission and two days before the admission, between days with primary spontaneous pneumothorax and days without. There was no significant difference in the other meteorological factors between days with primary spontaneous pneumothorax and days without. Conclusion Two hundred and eighty-nine patients were found to have primary spontaneous pneumothorax in the 281 days included in the study. Among the meteorological parameters, significant differences were found in average temperature and atmospheric pressure difference between day of admission and two days before the admission, between days with primary spontaneous pneumothorax and days without. There was no significant difference in the other meteorological factors between days with primary spontaneous pneumothorax and days without.

scholarly journals Meteorological Variables Associated with Stroke

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Romy Nocera ◽  
Philip Petrucelli ◽  
Johnathan Park ◽  
Eric Stander
Keyword(s):  
Atmospheric Pressure ◽  
Stroke Risk ◽  
Meteorological Data ◽  
Medical Data ◽  
Meteorological Variables ◽  
Maximum Temperature ◽  
Stroke Incidence ◽  
Physiological Conditions ◽  
Patient Demographics ◽  
Average Temperature

To elucidate relationships between meteorological variables and incidence of stroke, we studied patients diagnosed with stroke after presenting to the emergency department (May 1, 2010–August 8, 2011). Patient demographics and medical data were reviewed retrospectively with regional meteorological data. Across 467 days, 134 stroke events were recorded on 114 days. On stroke days, maximum temperature (max T) and atmospheric pressure (AP) combined were a significant predictor of stroke (max T odds ratio (OR) = 1.014, 95% confidence interval (CI) = 1.003–1.026, and P=0.04; AP: OR = 1.033, 95% CI = 0.997–1.071, and P=0.02). When the patient could identify the hour of the stroke, average temperature (avg T) was significantly higher than nonstroke hours (18.2°C versus 16.16°C, P=0.04). Daily fluctuations in AP and avg T also had significant effects on stroke incidence (AP: OR = 0.629, 95% CI = 0.512–0.773, and P=0.0001; avg T OR = 1.1399, 95% CI = 1.218–606, and P=0.0001). Patient age, stroke history, body mass index, ethnicity, and sex were further contributors to stroke risk. Temperature, atmospheric pressure, and certain physiological conditions likely play roles in weather-related stroke susceptibility. The mechanisms driving these associations are not fully understood.

scholarly journals Seasonal Trends in the Occurrence of Eclampsia

2014 ◽  
Vol 6 (2) ◽  
pp. 83-87
Author(s):  
Ahmad Malik ◽  
Shaheen Kausar ◽  
Alia Bashir ◽  
Mamoon Akbar Qureshi
Keyword(s):  
Atmospheric Pressure ◽  
Meteorological Data ◽  
Barometric Pressure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Seasonal Trends ◽  
Weather Patterns ◽  
Average Temperature ◽  
Lower Temperature ◽  
Study Setting

ABSTRACT Background Preeclampsia and eclampsia are major obstetric complications with unclear etiologies. Understanding the exact association with different weather patterns may help us in understanding what factors may be involved in triggering these events. Lower temperature, higher humidity and lower barometric pressure are linked to eclampsia. Objective To know the relation between variations of weather and incidence of eclampsia in patients presenting in, Jinnah Hospital, Lahore. Materials and methods Total number of deliveries and patients presenting with eclampsia were recorded from January 2008 to December 2012. Meteorological data was acquired from the regional meteorological center recording the monthly average temperature, humidity, barometric pressure and rainfall during the study period. The incidence of eclampsia and the seasonal trend were analyzed for Maximum (MMM) temperature, humidity at 5 pm, 5 pm atmospheric pressure (ATM) and rainfall. Study design Cross sectional study Study setting Gyne Unit 2, Jinnah Hospital, Lahore Results Over a 60-month period, a total of 31,331 deliveries were recorded, of which 579 patients developed eclampsia (1.85%). There was a statistically significant Pearson's correlation coefficient, the incidence of eclampsia was found to increase with MMM 5 pm temperature (0.516, p < 0.05) and rainfall (0.427, p < 0.05) and 5 pm ATM atmospheric pressure (—0.501, p < 0.05). No significant correlation was found with humidity (0.093, p > 0.05). Conclusion Incidence of eclampsia has direct linear relationship with increased temperature and rainfall and inverse relationship with 5 pm atmospheric pressure. The humidity had no apparent effect. How to cite this article Kausar S, Bashir A, Malik A, Qureshi MA. Seasonal Trends in the Occurrence of Eclampsia. J South Asian Feder Obst Gynae 2014;6(2):83-87.

scholarly journals Volatility Analysis and Visualization of Climate Data Based on Wavelets

2021 ◽  
Vol 13 (4) ◽  
pp. 50
Author(s):  
Meili Liu ◽  
Liwei Wang ◽  
Chun-Te Lee ◽  
Jeng-Eng Lin
Keyword(s):  
Mean Square Error ◽  
Meteorological Data ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Climate Data ◽  
Frequency Model ◽  
Time Frequency ◽  
Average Temperature ◽  
Volatility Analysis ◽  
Nonlinear Autoregressive

In this article, we analyze the real meteorological data recorded by Wenzhou Meteorological Bureau from 1951 to 1997. The data has not been used elsewhere and is available at Meteorological Station Wenzhou (ID: CHM00058659) at https://geographic.org/global_weather/china. We perform the time series volatility analysis including ARMA, ARIMA, ARCH-LM, PARCH, SARMA and Morlet wavelet analysis and use the Mann-Kendall (M-K) test to analyze both the trend and mutation defined by statistics sequence. In addition, a Morete wavelet time-frequency model is established to show that both the precipitation and temperature have a very important 12-month cycle and the precipitation is also very unstable. We then employ the STL, coif1 decompositions and NAR model to capture both the volatility and Heteroscedasticity in the data. In addition, the performance of the fitted model has been proven to be satisfactory on actual climate data with the small Mean Square Error (MSE), Root-Mean-Squarred Error (RMSE), and coefficient of determination. Finally, monthly average temperature is added as an exogenous (covariate) variable and a nonlinear autoregressive exogenous model is employed to improve the performance of the model. Our results show that the performance of NARX model is more accurate and stable with better mean square error.

scholarly journals Including Urban Heat Island in Bioclimatic Early-Design Phases: A Simplified Methodology and Sample Applications

2021 ◽  
Vol 13 (11) ◽  
pp. 5918
Author(s):  
Giacomo Chiesa ◽  
Yingyue Li
Keyword(s):  
Urban Heat Island ◽  
Urban Climate ◽  
Temperate Climate ◽  
Heat Island ◽  
Climate Data ◽  
Degree Days ◽  
Climate Conditions ◽  
Early Design ◽  
Correct Definition ◽  
Urban Heat

Urban heat island and urban-driven climate variations are recognized issues and may considerably affect the local climatic potential of free-running technologies. Nevertheless, green design and bioclimatic early-design analyses are generally based on typical rural climate data, without including urban effects. This paper aims to define a simple approach to considering urban shapes and expected effects on local bioclimatic potential indicators to support early-design choices. Furthermore, the proposed approach is based on simplifying urban shapes to simplify analyses in early-design phases. The proposed approach was applied to a sample location (Turin, temperate climate) and five other climate conditions representative of Eurasian climates. The results show that the inclusion of the urban climate dimension considerably reduced rural HDD (heating degree-days) from 10% to 30% and increased CDD (cooling degree-days) from 70% to 95%. The results reveal the importance of including the urban climate dimension in early-design phases, such as building programming in which specific design actions are not yet defined, to support the correct definition of early-design bioclimatic analyses.

scholarly journals Bedside tracer gas technique accurately predicts outcome in aspiration of spontaneous pneumothorax

Thorax ◽  
2001 ◽  
Vol 56 (8) ◽  
pp. 617-621
Author(s):  
D G Kiely ◽  
S Ansari ◽  
W A Davey ◽  
V Mahadevan ◽  
G J Taylor ◽  
...  
Keyword(s):  
Chest Radiograph ◽  
Spontaneous Pneumothorax ◽  
Significant Risk ◽  
Admission Rate ◽  
Primary Spontaneous Pneumothorax ◽  
Tracer Gas ◽  
Secondary Spontaneous Pneumothorax ◽  
Poor Predictor ◽  
Bedside Test ◽  
Simple Bedside

BACKGROUNDThere is no technique in general use that reliably predicts the outcome of manual aspiration of spontaneous pneumothorax. We have hypothesised that the absence of a pleural leak at the time of aspiration will identify a group of patients in whom immediate discharge is unlikely to be complicated by early lung re-collapse and have tested this hypothesis by using a simple bedside tracer gas technique.METHODSEighty four episodes of primary spontaneous pneumothorax and 35 episodes of secondary spontaneous pneumothorax were studied prospectively. Patients breathed air containing a tracer (propellant gas from a pressurised metered dose inhaler) while the pneumothorax was aspirated percutaneously. Tracer gas in the aspirate was detected at the bedside using a portable flame ioniser and episodes were categorised as tracer gas positive (>1 part per million of tracer gas) or negative. The presence of tracer gas was taken to imply a persistent pleural leak. Failure of manual aspiration and the need for a further intervention was based on chest radiographic appearances showing either failure of the lung to re-expand or re-collapse following initial re-expansion.RESULTSA negative tracer gas test alone implied that manual aspiration would be successful in the treatment of 93% of episodes of primary spontaneous pneumothorax (p<0.001) and in 86% of episodes of secondary spontaneous pneumothorax (p=0.01). A positive test implied that manual aspiration would either fail to re-expand the lung or that early re-collapse would occur despite initial re-expansion in 66% of episodes of primary spontaneous pneumothorax and 71% of episodes of secondary spontaneous pneumothorax. Lung re-inflation on the chest radiograph taken immediately after aspiration was a poor predictor of successful aspiration, with lung re-collapse occurring in 34% of episodes by the following day such that a further intervention was required.CONCLUSIONSNational guidelines currently recommend immediate discharge of patients with primary spontaneous pneumothorax based primarily on the outcome of the post-aspiration chest radiograph which we have shown to be a poor predictor of early lung re-collapse. Using a simple bedside test in combination with the post-aspiration chest radiograph, we can predict with high accuracy the success of aspiration in achieving sustained lung re-inflation, thereby identifying patients with primary spontaneous pneumothorax who can be safely and immediately discharged home and those who should be observed overnight because of a significant risk of re-collapse, with an estimated re-admission rate of 1%.

Sign in / Sign up

Export Citation Format

Share Document