Clin Endosc > Volume 53(2); 2020 > Article
Siddiqui, Bilal, Haq, Nabors, Schorr-Lesnick, and Wolf: Seasonal Impacts on the Incidence of Esophageal Variceal Hemorrhage: A Nationwide Analysis across a Decade

Abstract

Background/Aims

Seasonal variation has previously been reported in relation to the incidence of non-variceal upper gastrointestinal bleeding; however, the impact of seasonal variation on variceal bleeding is not known.

Methods

We conducted a cross-sectional study using the Nationwide Inpatient Sample database from 2005 to 2014. International Classification of Diseases, Clinical Modification- 9th Revision codes were used to identify patients hospitalized with a primary or secondary diagnosis of esophageal variceal hemorrhage. The data were analyzed based on the month of hospitalization. Our primary aim was to assess seasonal variations in variceal bleeding-related hospitalizations. The secondary aims were to assess the impact of seasonal variation on outcomes in variceal bleeding including in-hospital mortality and healthcare resource utilization.

Results

A total of 348,958 patients hospitalized with esophageal variceal bleeding were included. The highest number of hospitalizations was reported in December (99.3/day) and the lowest was reported in June (90.8/day). In-hospital mortality was highest in January (11.5%) and lowest in June (9.8%). There was no significant difference in hospital length of stay or total hospitalization costs across all months in all years combined.

Conclusions

There appears to be a seasonal variation in the incidence and mortality of variceal hemorrhage in the United States. December was the month with the highest number of daily hospitalizations while the nadir occurred in June.

INTRODUCTION

Esophageal variceal hemorrhage has a significant impact on mortality and morbidity in patients with cirrhosis and results in considerable burdens on healthcare resources [1-3]. Over the last decade, several clinical and epidemiological factors were reported to impact the outcome of esophageal variceal bleeding, including the presence of an underlying malignancy, the etiology and severity of cirrhosis, and hospital characteristics such as hospital volume [3-6]. Recently, the effects of various environmental factors on the disease patterns of gastrointestinal disorders were explored [7,8]. A seasonal periodicity in upper gastrointestinal bleeding was reported, particularly for peptic ulcer diseases. However, the underlying basis for such variation was unclear and whether esophageal variceal bleeding rates also varied with seasonal change was not well described [8-10]. Therefore, the current study aimed to assess whether seasonal and monthly variations exist with regard to the hospitalizations and outcomes of esophageal variceal hemorrhage.

MATERIALS AND METHODS

Data source

We obtained data from the Nationwide Inpatient Sample (NIS) database, which is the largest openly accessible all-payer inpatient healthcare database in the United States. The NIS database was created by the Healthcare Cost and Utilization Project (HCUP) and is used to frame health policies at the federal, state, and county levels. The HCUP is a program developed by the Agency for Healthcare Research and Quality. It comprises de-identified hospitalization records for more than 7 million unweighted annual hospital stays and 35 million weighted annual hospitalizations in the US. The NIS records 7–8 million hospitalizations annually. The data were sampled from approximately 4,411 hospitals and 45 states throughout the US. We used data from 2005 to 2014.

Study population

Patients in our sample were selected based on International Classification of Diseases, Clinical Modification- 9th Revision (ICD-9-CM) codes. We identified cases hospitalized with primary or secondary discharge diagnoses of esophageal varices with hemorrhage. We excluded cases lacking information on in-hospital mortality or month of hospitalization. The final study sample consisted of all adult hospitalizations with a discharge diagnosis of esophageal varices with hemorrhage (ICD-9-CM codes 456.0 and 456.20) as previously described [3,11]. A flow diagram of case selection is shown in Fig. 1.

Study outcomes and variables

The primary outcome measure for this study was a comparison of the frequency of hospitalizations by each month of the year. For January, March, May, July, August, October, and December, calculations were based on a 31-day month; while for April, June, September, and November calculations were based on a 30-day month. For February, we calculated 29 days for two leap years and 28 days for each month for the other eight years. The secondary outcome measure was the rate of in-hospital mortality associated with esophageal varices bleeding. We also analyzed the admission and in-hospital mortality rates for each geographic region in the US; namely, the Northeastern, Midwestern, Southern, and Western regions. We estimated the differences in resource utilization for each month by calculating the length of stay and hospital costs of care. Potential confounders and covariates including age, sex, race, comorbidities (with Elixhauser comorbidity index), length of stay, admission, and hospital characteristics (location and teaching status) were accounted for in our multivariable regression analysis.

Statistical analysis

To compare the demographic characteristics, covariates, and other outcomes of interest among our study groups, we performed bivariate analysis and used Pearson’s chi-squared tests. We calculated two-tailed p-values and defined statistical significance as p-value less than 0.05. We adjusted for the pertinent demographics and confounders by performing a multivariable regression analysis.
To calculate the burden of comorbidities, we utilized the software provided by the HCUP and generated the Elixhauser index from the ICD-9-CM diagnosis codes [12,13]. The mean length of stay and hospital cost were calculated for each month. All statistical analyses were performed using IBM SPSS Statistics for Windows, version 25.0 (IBM Co., Armonk, NY, USA).

RESULTS

Demographics

Between 2005 and 2014, a total of 348,958 cases with esophageal variceal hemorrhage were identified and included in the study sample. The mean age of the entire cohort was 55.7 years, with the 51–65-year age group constituting approximately half (48.3%) of all hospitalizations. Men comprised 69.1% of cases, with the most common race being White (62.3%), followed by Hispanic (22.3%), and Black (7.7%). Almost 90% of all acute variceal hemorrhage hospitalizations were in urban hospital settings, with 40% in urban non-teaching hospitals and 50% in urban teaching hospitals.

Hospitalization volume

The highest number of variceal hemorrhage-related admissions was reported in December (n=30,786; 8.8%), followed by March (n=30,492; 8.7%) and January (n=30,404; 8.7%). The lowest number of admissions was reported in June (27,247; 7.8%). Table 1 summarizes the total number of hospitalizations for each month. We further compared the months based on per-day hospitalizations, as summarized in Table 2 and Fig. 2. June (90.8 admissions per day) had the fewest number of hospitalizations for esophageal varices hemorrhage in contrast to December (99.3 admissions per day), which had the highest daily admission rate.

Mortality

The overall in-hospital mortality is displayed in Table 1 and a graphical presentation is shown in Fig. 3. The lowest and highest in-hospital mortality rates occurred in June (9.8 %) and January (11.5%), respectively. We further compared the in-hospital mortality for each month by adjusting for various confounding factors between each month and calculated the adjusted odds ratios (ORs) with June as the reference month. After adjusting for the confounding effects of age, sex, race, comorbidities (Elixhauser comorbidity index), length of stay, elective/non-elective admission status, and hospital characteristics (hospital location and teaching status), we assessed mortality rates and calculated the adjusted OR. The adjusted mortality was highest in January (overall morality = 11.5%, adjusted OR, 1.268; 95% confidence interval, 1.194–1.345; p<0.0001) and lowest in June (overall mortality rate = 9.8%). The results of the multivariable regression analysis are summarized in Table 3.

US regional analysis

The results of our regional analysis showed that the overall rates of hospitalization for acute variceal hemorrhage were relatively higher in hospitals located in the South, followed by those in the West, Midwest, and Northeast. Fig. 4 shows a graphical presentation of these regional differences. Across all four geographical areas, we noted a relative decrease in variceal hemorrhage-related hospitalizations in June. We also noted relatively higher hospitalization rates in the winter months in all regions; however, the Midwest region showed the highest admission rates in the fall months. All-cause in-hospital mortality associated with esophageal variceal bleeding for each region is summarized in Table 3. In-hospital mortality remained relatively higher in winter months across all geographical regions.

Health care resource utilization

The mean length of stay for the entire cohort was 6.35 days (6.21–6.46 days) and the average total hospitalization cost was $17,123. We did not find substantial differences in hospital lengths of stay or hospital costs across the various months (Table 4). The highest number of esophagogastroduodenoscopy (EGD) procedures for variceal hemorrhage was performed in December (n=25,940), 77.5% (n=20,129) of which involved endoscopic therapy for hemostasis. The fewest EGD procedures were performed in June (n=22,849), 75.1% (n=17,176) of which involved endoscopic therapy for hemostasis. We also noted that the overall in-hospital mortality for the patients undergoing EGD was 8.2%, which was lower than that in patients who did not undergo EGD (21.5%).

DISCUSSION

We utilized the largest all-payer inpatient database to evaluate whether seasonal variation existed for hospitalizations and outcomes associated with esophageal variceal hemorrhage over a ten-year period. We found a significant month to month difference in the rate of esophageal variceal bleeding-related hospitalizations. Both the monthly volume of hospitalizations and per-day admission rates were higher for December than those for June. We also observed comparable differences in mortality rates. However, hospital costs and length of stay associated with each admission remained relatively similar for each month.
Seasonal variation in acute upper gastrointestinal hemorrhage has been previously described in North America and Europe. However, there is lack of consensus regarding the importance of these findings. While several studies observed seasonal variation in upper gastrointestinal bleeding [7-10,14-16], others did not [17-19]. Boulay et al. specifically studied seasonal variation in esophageal variceal bleeding by utilizing a French public hospital database [15]. They observed that both hospitalizations and mortality from esophageal varices hemorrhage peaked in winter, specifically in December [15]. A similar study by Yen et al. from Taiwan found that the occurrence of esophageal varices hemorrhage peaked in February [14]. Kanotra et al. utilized the United States NIS database to assess the seasonal variation in peptic ulcer disease [20]. They found that the admission rate peaked in February [20]. To our knowledge, the current study is the first to assess the seasonal pattern in esophageal variceal hemorrhage at a national scale within the United States.
Advances in endoscopic therapy and intensive screening for esophageal varices have led to significant reduction in the overall mortality associated with esophageal variceal hemorrhage over the last several decades [3,6,21,22]. However, esophageal variceal bleeding continues to have a higher mortality rate compared to the rates for other causes of upper gastrointestinal bleeding [11]. It is important to analyze whether environmental factors related to changes of season contribute to the observed epidemiology of esophageal variceal bleeding. Indepth understanding of this disease pattern can help clinicians redirect their resources, which can ultimately lead to an improvement in healthcare delivery.
Several authors have hypothesized that the seasonal variation in upper gastrointestinal hemorrhage is at least partially secondary to seasonal fluctuations in the use of non-steroidal anti-inflammatory drugs (NSAIDs) [9]. NSAIDs are a well-known cause for esophageal variceal bleeding [23]. Therefore, increased use of NSAIDs in winter months could predispose or increased the risk of hemorrhage from esophageal varices. A recently published study by Ventura-Cots et al. found that alcohol use increased in winter months, which increased the burden of alcohol-associated liver diseases [24]. Their study also noted that both lower temperatures and decreased sunshine hours were correlated with increased alcohol consumption [24]. Relatively lower temperatures cause peripheral vasoconstriction; therefore, increased portal blood flow could perhaps be attributed to this physiological change. Budzyński et al. did not find any correlation between seasonal changes in the upper gastrointestinal hemorrhage and changes in atmospheric pressure [18]. It is also possible that single or multiple unknown epidemiological or clinical factors may be impacting the incidence of gastrointestinal bleeding in general and variceal bleeding in particular.
Our study has several limitations. This observational study relied on a large nationwide database. Therefore, individual chart review was not possible. The accuracy of analysis depended upon the ICD 9 codes entered at the time of hospitalization. However, ICD codes have high diagnostic and procedural accuracies for outcome research related to upper gastrointestinal hemorrhage [25]. Despite these limitations, the strength of the study lies in the breadth of the data which involved all hospitalizations over a decade. The use of a nationwide database eliminates the bias generated from single-center or even smaller multi-center studies. Our findings suggest the need for further studies to more fully identify seasonal variations related to particular geographical regions.
There are seasonal variations in hospitalizations related to esophageal variceal hemorrhage across the United States. The effect of variation in environmental and patient-specific triggers across various seasons and their impact on esophageal variceal hemorrhage requires further exploration.

NOTES

Conflicts of Interest: The authors have no financial conflicts of interest.
Author Contributions
Conceptualization: Mohamed Tausif Siddiqui, Mohammad Bilal, Beth Schorr-Lesnick, David C. Wolf
Formal analysis: MTS, Christopher Nabors
Methodology: MTS, MB, BSL, DCW
Project administration: MTS, MB, BSL, DCW
Writing-original draft: MTS, Khwaja Fahad Haq
Writing-review&editing: BSL, DCW

Fig. 1.
Flowchart of case selection for variceal hemorrhage, 2005–2014.
ce-2019-094f1.jpg
Fig. 2.
Graphical representation of per-day hospitalizations for esophageal variceal hemorrhage for each month.
ce-2019-094f2.jpg
Fig. 3.
Mortality (%) mortality for admission month.
ce-2019-094f3.jpg
Fig. 4.
Monthly hospitalizations for each month: US regional differences.
ce-2019-094f4.jpg
Table 1.
Monthly Incidence and In-Hospital Mortality Associated with Esophageal Variceal Hemorrhage
Admission month Outcome
Total
Died Alive
January 3,488 26,916 30,404
February 2,915 24,896 27,811
March 3,348 27,144 30,492
April 2,858 25,920 28,778
May 2,943 26,603 29,546
June 2,665 24,582 27,247
July 2,965 25,659 28,624
August 2,949 26,017 28,966
September 2,837 24,930 27,767
October 3,021 26,588 29,609
November 3,263 25,665 28,928
December 3,174 27,612 30,786
Total 36,426 312,532 348,958
Table 2.
Adjusted Odds Ratios for In-Hospital Mortality
Month Adjusted odds ratio 95% confidence interval for adjusted odds ratio
p-value
Lower bound Upper bound
January 1.268 1.194 1.345 0.001
February 1.147 1.079 1.220 0.001
March 1.197 1.128 1.271 0.001
April 1.098 1.032 1.168 0.003
May 1.022 0.961 1.087 0.490
June 1.000 Reference Reference Reference
July 1.067 1.003 1.135 0.038
August 1.082 1.017 1.150 0.012
September 1.096 1.030 1.166 0.004
October 1.086 1.022 1.155 0.008
November 1.184 1.114 1.257 0.001
December 1.101 1.037 1.170 0.002
Table 3.
In-Hospital Mortality (%) for Each Month according to Geographical Region
Month Northeast Midwest South West
January 14.5 11.7 10.6 11.5
February 12.1 9.7 9.9 10.5
March 11.4 9.6 11.3 11
April 12.2 9.6 8.8 9.9
May 12.5 10.4 9.1 10
June 13 10 9.7 9.8
July 12 11 10.8 10.4
August 13.2 9.7 8.5 10.2
September 10.6 9.4 10.5 10.2
October 12.9 10.3 8.8 10.2
November 13.3 10.3 11 11.3
December 13 9.9 9.8 10.3
Table 4.
Mean Hospital Costs and Length of Stay for Each Month
Month Mean
Hospital cost (US$) Length of stay (days)
January 17,404 6.44
February 16,834 6.45
March 17,006 6.35
April 16,948 6.31
May 16,458 6.27
June 17,285 6.37
July 17,579 6.38
August 17,000 6.21
September 17,211 6.36
October 16,984 6.26
November 17,541 6.46
December 17,244 6.37
Overall 17,123 6.35

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