Establishment and Evaluation of a Time Series Model for Predicting the Seasonality of Acute Upper Gastrointestinal Bleeding

Zhaoli Fu; Xujie Xi; Beiping Zhang; Yanfeng Lin; Aling Wang; Jianmin Li; Ming Luo; Tianwen Liu

doi:10.2147/IJGM.S299208

Establishment and Evaluation of a Time Series Model for Predicting the Seasonality of Acute Upper Gastrointestinal Bleeding

Int J Gen Med. 2021 May 26:14:2079-2086. doi: 10.2147/IJGM.S299208. eCollection 2021.

Authors

Zhaoli Fu^#¹, Xujie Xi^#¹, Beiping Zhang¹, Yanfeng Lin¹, Aling Wang¹, Jianmin Li¹, Ming Luo¹, Tianwen Liu¹

Affiliation

¹ Department of Spleen and Stomach Diseases, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong Province, People's Republic of China.

^# Contributed equally.

Abstract

Objective: We aimed to establish and evaluate a time series model for predicting the seasonality of acute upper gastrointestinal bleeding (UGIB).

Methods: Patients with acute UGIB who were admitted to the Emergency Department and Gastrointestinal Endoscopy Center of Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2013 to December 2019 were enrolled in the present study. The incidence trend of UGIB was analyzed by seasonal decomposition method. Then, exponential smoothing model and autoregressive integrated moving average model (ARIMA) were used to establish the model and forecast, respectively.

Results: Finally, the exponential smoothing model with better fitting and prediction effect was selected. The smooth R2 was 0.586, and the Ljung-Box Q (18) statistic value was 22.272 (P = 0.135). The incidence of UGIB had an obvious seasonal trend, with a peak in annual January and a seasonal factor of 140%. After that, the volatility had gradually declined, with a trough in August and a seasonal factor of 67.8%. Since then, it had gradually increased.

Conclusion: The prediction effect of exponential smoothing model is better, which can provide prevention and treatment strategies for UGIB, and provide objective guidance for more medical staff in Emergency Department and Gastrointestinal Endoscopy Center during the peak period of UGIB.

Keywords: acute upper gastrointestinal bleeding; autoregressive integrated moving average model; exponential smoothing model; incidence trend; seasonality; time series model.