The spatial distribution of the normal reference values of the activated partial thromboplastin time based on ArcGIS and GeoDA,International Journal of Biometeorology

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The spatial distribution of the normal reference values of the activated partial thromboplastin time based on ArcGIS and GeoDA
International Journal of Biometeorology ( IF 3.2 ) Pub Date : 2020-04-26 , DOI: 10.1007/s00484-020-01868-2
Shaofang Yang ₁ , Miao Ge ₁ , Xiaoping Li ₁ , Chiqin Pan ₂

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We explored the variation and spatial distribution of the activated partial thromboplastin time (APTT) reference values of healthy people at different altitudes in China in order to develop a scientific basis for a unified standard. The APTT reference values of 49,020 healthy males (41–75 years old) and 32,447 healthy females (41–75 years old) were collected from 601 work units and 546 work units in China, respectively. The relationship between the APTT reference values and altitude was tested by correlation analysis. Linear regression analysis and curve analysis were employed to predict the APTT reference values in the whole country. Trend surface analysis, the variation function, kriging interpolation, and Getis-Ord Gi* statistic were utilized to reveal the spatial characteristics of the values. The result showed a significant positive correlation between the APTT reference values and altitude. The APTT values for females were prolonged for a greater amount of time than the males in several same areas in China. The spatial contact forms of the APTT reference values of healthy Chinese were mainly “high-high” and “low-low,” which was in accord with the first law of geography. The APTT reference values still showed spatial autocorrelation and regional variation. The values were higher in the western and northern areas than in the eastern and southern areas of China. The APTT reference values of people aged 41–75 in China showed regional differences. The APTT reference values in one area can be estimated by using the best prediction model or can be obtained by the geographical distribution.

更新日期：2020-04-26

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