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. 2024 Feb 29;14(2):e074608.
doi: 10.1136/bmjopen-2023-074608.

Trends of hospitalisation among new admission inpatients with oesophagogastric variceal bleeding in cirrhosis from 2014 to 2019 in the Affiliated Hospital of Southwest Medical University: a single-centre time-series analysis

Jieyu Peng  1   2 , Xinyi Zeng  1   2 , Shu Huang  3 , Han Zhang  1   2 , Huifang Xia  1   2 , Kang Zou  1   2 , Wei Zhang  1   2 , Xiaomin Shi  1   2 , Lei Shi  1   2 , Xiaolin Zhong  1   2 , Muhan Lü  1   2 , Yan Peng  1   2 , Xiaowei Tang  4   2
Affiliations

Trends of hospitalisation among new admission inpatients with oesophagogastric variceal bleeding in cirrhosis from 2014 to 2019 in the Affiliated Hospital of Southwest Medical University: a single-centre time-series analysis

Jieyu Peng et al. BMJ Open. .

Abstract

Objectives: This study aimed to assess the internal law and time trend of hospitalisation for oesophagogastric variceal bleeding (EGVB) in cirrhosis and develop an effective model to predict the trend of hospitalisation time.

Design: We used a time series covering 72 months to analyse the hospitalisation for EGVB in cirrhosis. The number of inpatients in the first 60 months was used as the training set to establish the autoregressive integrated moving average (ARIMA) model, and the number over the next 12 months was used as the test set to predict and observe their fitting effect.

Setting and data: Case data of patients with EGVB between January 2014 and December 2019 were collected from the Affiliated Hospital of Southwest Medical University.

Outcome measures: The number of monthly hospitalised patients with EGVB in our hospital.

Results: A total of 877 patients were included in the analysis. The proportion of EGVB in patients with cirrhosis was 73% among men and 27% among women. The peak age at hospitalisation was 40-60 years. The incidence of EGVB varied seasonally with two peaks from January to February and October to November, while the lowest number was observed between April and August. Time-series analysis showed that the number of inpatients with EGVB in our hospital increased annually. The sequence after the first-order difference was a stationary series (augmented Dickey-Fuller test p=0.02). ARIMA (0,1,0) (0,1,1)12 with a minimum Akaike Information Criterion value of 260.18 could fit the time trend of EGVB inpatients and had a good short-term prediction effect. The root mean square error and mean absolute error were 2.4347 and 1.9017, respectively.

Conclusions: The number of hospitalised patients with EGVB at our hospital is increasing annually, with seasonal changes. The ARIMA model has a good prediction effect on the number of hospitalised patients with EGVB in cirrhosis.

Keywords: gastroduodenal disease; hepatobiliary disease; hospitalisation; oesophageal disease.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Age distribution of oesophagogastric variceal bleeding.
Figure 2
Figure 2
Seasonal distribution of patients with oesophagogastric variceal bleeding.
Figure 3
Figure 3
Time series table of oesophagogastric variceal bleeding inpatients.
Figure 4
Figure 4
Original timing diagram (A) and autocorrelation function (ACF) diagram and partial autocorrelation function (PACF) diagram (B).
Figure 5
Figure 5
Timing diagram after factoring out related factors.
See this image and copyright information in PMC

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