Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients
Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective stu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ceyda Anar [verfasserIn] Tuba İnal [verfasserIn] Serhat Erol [verfasserIn] Gülru Polat [verfasserIn] İpek Ünsal [verfasserIn] Özlem Ediboğlu [verfasserIn] Hüseyin Halilçolar [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Balkan Medical Journal - Galenos Publishing House, 2017, 32(2015), 3, Seite 279-284 |
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| Übergeordnetes Werk: |
volume:32 ; year:2015 ; number:3 ; pages:279-284 |
| Links: |
Link aufrufen |
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| DOI / URN: |
10.5152/balkanmedj.2015.15686 |
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DOAJ034036687 |
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| 520 | |a Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. | ||
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10.5152/balkanmedj.2015.15686 doi (DE-627)DOAJ034036687 (DE-599)DOAJ5591194011ce4640b5ab3330c82cf97f DE-627 ger DE-627 rakwb eng Ceyda Anar verfasserin aut Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. Meteorological factors pulmonary embolism risk factors Medicine R Tuba İnal verfasserin aut Serhat Erol verfasserin aut Gülru Polat verfasserin aut İpek Ünsal verfasserin aut Özlem Ediboğlu verfasserin aut Hüseyin Halilçolar verfasserin aut In Balkan Medical Journal Galenos Publishing House, 2017 32(2015), 3, Seite 279-284 (DE-627)662166043 (DE-600)2612982-6 21463131 nnns volume:32 year:2015 number:3 pages:279-284 https://doi.org/10.5152/balkanmedj.2015.15686 kostenfrei https://doaj.org/article/5591194011ce4640b5ab3330c82cf97f kostenfrei http://balkanmedicaljournal.org/text.php?lang=en&id=200 kostenfrei https://doaj.org/toc/2146-3123 Journal toc kostenfrei https://doaj.org/toc/2146-3131 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 32 2015 3 279-284 |
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10.5152/balkanmedj.2015.15686 doi (DE-627)DOAJ034036687 (DE-599)DOAJ5591194011ce4640b5ab3330c82cf97f DE-627 ger DE-627 rakwb eng Ceyda Anar verfasserin aut Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. Meteorological factors pulmonary embolism risk factors Medicine R Tuba İnal verfasserin aut Serhat Erol verfasserin aut Gülru Polat verfasserin aut İpek Ünsal verfasserin aut Özlem Ediboğlu verfasserin aut Hüseyin Halilçolar verfasserin aut In Balkan Medical Journal Galenos Publishing House, 2017 32(2015), 3, Seite 279-284 (DE-627)662166043 (DE-600)2612982-6 21463131 nnns volume:32 year:2015 number:3 pages:279-284 https://doi.org/10.5152/balkanmedj.2015.15686 kostenfrei https://doaj.org/article/5591194011ce4640b5ab3330c82cf97f kostenfrei http://balkanmedicaljournal.org/text.php?lang=en&id=200 kostenfrei https://doaj.org/toc/2146-3123 Journal toc kostenfrei https://doaj.org/toc/2146-3131 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 32 2015 3 279-284 |
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10.5152/balkanmedj.2015.15686 doi (DE-627)DOAJ034036687 (DE-599)DOAJ5591194011ce4640b5ab3330c82cf97f DE-627 ger DE-627 rakwb eng Ceyda Anar verfasserin aut Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. Meteorological factors pulmonary embolism risk factors Medicine R Tuba İnal verfasserin aut Serhat Erol verfasserin aut Gülru Polat verfasserin aut İpek Ünsal verfasserin aut Özlem Ediboğlu verfasserin aut Hüseyin Halilçolar verfasserin aut In Balkan Medical Journal Galenos Publishing House, 2017 32(2015), 3, Seite 279-284 (DE-627)662166043 (DE-600)2612982-6 21463131 nnns volume:32 year:2015 number:3 pages:279-284 https://doi.org/10.5152/balkanmedj.2015.15686 kostenfrei https://doaj.org/article/5591194011ce4640b5ab3330c82cf97f kostenfrei http://balkanmedicaljournal.org/text.php?lang=en&id=200 kostenfrei https://doaj.org/toc/2146-3123 Journal toc kostenfrei https://doaj.org/toc/2146-3131 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 32 2015 3 279-284 |
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10.5152/balkanmedj.2015.15686 doi (DE-627)DOAJ034036687 (DE-599)DOAJ5591194011ce4640b5ab3330c82cf97f DE-627 ger DE-627 rakwb eng Ceyda Anar verfasserin aut Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. Meteorological factors pulmonary embolism risk factors Medicine R Tuba İnal verfasserin aut Serhat Erol verfasserin aut Gülru Polat verfasserin aut İpek Ünsal verfasserin aut Özlem Ediboğlu verfasserin aut Hüseyin Halilçolar verfasserin aut In Balkan Medical Journal Galenos Publishing House, 2017 32(2015), 3, Seite 279-284 (DE-627)662166043 (DE-600)2612982-6 21463131 nnns volume:32 year:2015 number:3 pages:279-284 https://doi.org/10.5152/balkanmedj.2015.15686 kostenfrei https://doaj.org/article/5591194011ce4640b5ab3330c82cf97f kostenfrei http://balkanmedicaljournal.org/text.php?lang=en&id=200 kostenfrei https://doaj.org/toc/2146-3123 Journal toc kostenfrei https://doaj.org/toc/2146-3131 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 32 2015 3 279-284 |
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Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients |
| abstract |
Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. |
| abstractGer |
Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. |
| abstract_unstemmed |
Background: The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results: The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases’ monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence. |
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| title_short |
Are Meteorological Parameters a Risk Factor for Pulmonary Embolism? A Retrospective Analysis of 530 Patients |
| url |
https://doi.org/10.5152/balkanmedj.2015.15686 https://doaj.org/article/5591194011ce4640b5ab3330c82cf97f http://balkanmedicaljournal.org/text.php?lang=en&id=200 https://doaj.org/toc/2146-3123 https://doaj.org/toc/2146-3131 |
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10.5152/balkanmedj.2015.15686 |
| up_date |
2024-07-03T21:03:08Z |
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