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Cerebral Venous Thrombosis, Seasonal Trends, and Climatic Influence: A Region-SpecificStudy.
Aaron, Sanjith; Lakshmanan, Jeyaseelan; Sudarsanam, Thambu D; Benjamin, Kenneth; Durairaj, Jothilakshmi; Mathew, Vivek; Sivadasan, Ajith; Prabhakar, A T; Keshava, Shyam Kumar N; Mannam, Pavitra R; Kirubakaran, Prabhu; Muliyil, Jayaprakash; Alexander, Mathew.
Afiliação
  • Aaron S; Department of Neurology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Lakshmanan J; Department of Biostatistics, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Sudarsanam TD; Department of General Medicine, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Benjamin K; Department of Radiology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Durairaj J; Department of Biostatistics, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Mathew V; Department of Neurology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Sivadasan A; Department of Neurology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Prabhakar AT; Department of Radiology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Keshava SKN; Department of Radiology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Mannam PR; Department of Radiology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Kirubakaran P; Department of Neurology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Muliyil J; Department of Community Medicine, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
  • Alexander M; Department of Neurology, Christian Medical College Hospital, Vellore, Tamil Nadu, India.
Ann Indian Acad Neurol ; 23(4): 522-527, 2020.
Article em En | MEDLINE | ID: mdl-33223671
ABSTRACT
BACKGROUND AND

PURPOSE:

Studies looking at seasonal variation on cerebral venous thrombosis (CVT) are few with conflicting conclusions. In this region-specific study, we looked for climatic influence and seasonal trends on the incidence of CVT.

METHODS:

Imaging proven adult CVT cases treated over a period of 18 years from a specific geographical location with similar seasons and climatic conditions were studied. Metrological parameters prepared using 30 years of data was used. Quantum geographical information system (QGIS software) and SPSS v 22 were used for patient plotting and analysis.

RESULTS:

Total of 970 cases were studied. The incidence was significantly higher in summer 411 (42.3%) compared with autumn 317 (32.7%) and winter 242 (25.05); P = 0.038. This trend was consistent across all the 18 years in time series analysis. Mean age was 33.5 years (range 18-88 years). A significant majority 673 (69.4%) were below 40 years of age; P = 0.012. Females constituted 394 (40.6%) of cases. Postpartum CVT cases constituted 237 (30%). Interaction analysis showed younger age (<40 years) were more vulnerable for CVT in summer; P = 0.009. There was no seasonal influence on postpartum CVT. Apart for a weak positive correlation between rain fall (r = 0.18, P < 0.01); humidity and cloud cover was not influencing the incidence.

CONCLUSIONS:

Higher ambient temperatures were consistently associated with higher incidence of CVT. This is the largest region-specific study on CVT in the world. These results may be applicable to other regions with similar climatic conditions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article