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Seasonal pattern of peptic ulcer hospitalizations: analysis of the hospital discharge data of the Emilia-Romagna region of Italy
© Manfredini et al; licensee BioMed Central Ltd. 2010
Received: 18 September 2009
Accepted: 15 April 2010
Published: 15 April 2010
Previous studies have reported seasonal variation in peptic ulcer disease (PUD), but few large-scale, population-based studies have been conducted.
To verify whether a seasonal variation in cases of PUD (either compicated or not complicated) requiring acute hospitalization exists, we assessed the database of hospital admissions of the region Emilia Romagna (RER), Italy, obtained from the Center for Health Statistics, between January 1998 and December 2005. Admissions were categorized by sex, age (<65, 65-74, ≥ 75 yrs), site of PUD lesion (stomach or duodenum), main complication (hemorrhage or perforation), and final outcome (intended as fatal outcome: in-hospital death; nonfatal outcome: patient discharged alive). Temporal patterns in PUD admissions were assessed in two ways, considering a) total counts per single month and season, and b) prevalence proportion, such as the monthly prevalence of PUD admissions divided by the monthly prevalence of total hospital admissions, to assess if the temporal patterns in the raw data might be the consequence of seasonal and annual variations in hospital admissions per se in the region. For statistical analysis, the χ2 test for goodness of fit and inferential chronobiologic method (Cosinor and partial Fourier series) were used.
Of the total sample of PUD patients (26,848 [16,795 males, age 65 ± 16 yrs; 10,053 females, age 72 ± 15 yrs, p < 0.001)], 7,151 were <65 yrs of age, 8,849 between 65 and 74 yrs of age, and 10,848 ≥ 75 yrs of age. There were more cases of duodenal (DU). (89.8%) than gastric ulcer (GU) (3.6%), and there were 1,290 (4.8%) fatal events. Data by season showed a statistically difference with the lowest proportion of PUD hospital admissions in summer (23.3%) (p < 0.001), for total cases and rather all subgroups. Chronobiological analysis identified three major peaks of PUD hospitalizations (September-October, January-February, and April-May) for the whole sample (p = 0.035), and several subgroups, with nadir in July. Finally, analysis of the monthly prevalence proportions yielded a significant (p = 0.025) biphasic pattern with a main peak in August-September-October, and a secondary one in January-February.
A seasonal variation in PUD hospitalization, characterized by three peaks of higher incidence (Autumn, Winter, and Spring) is observed. When data corrected by monthly admission proportions are analyzed, late summer-autumn and winter are confirmed as higher risk periods. The underlying pathophysiologic mechanisms are unknown, and need further studies. In subjects at higher risk, certain periods of the year could deserve an appropriate pharmacological protection to reduce the risk of PUD hospitalization.
Seasonal variation in the onset of PUD and related complications in several countries and continents.
Source of data
Scholtyssek et al, 1986 (Germany)
1973 - 1983
Sonnenberg et al 1992 (U.S.A.)
Jan to Mar, Oct
Savarino et al, 1996 (Italy)
1987 - 1992
Autumn (Nov-Dec) Winter (Jan-Mar)
Marbella et al, 1988 (U.S.A.)
1974 - 1976
Jan-Feb, Jul-Aug, Nov-Dec
Tishchenko et al, 1990 (Russia)
Jan, Oct, Sept
Shih et al, 1993 (Taiwan)
1987 - 1992
Jan - Feb
Thomopoulos et al, 1997 (Greece)
1991 - 1996
Apr and Oct
Tsai et al, 1998 (Taiwan)
1989 - 1996
Nov - Mar
Rodrìguez et al, 1999 (Mexico)
1991 - 1997
May, June, Nov
Nomura et al, 2001 (Japan)
1996 - 1999
Autumn and Winter
Lopez-Cepero et al, 2005 (Spain)
1998 - 2001
No seasonal variation
Adler et al, 1984 (Australia)
Hospitals of West. Australia
1971 - 1981
Nov - Jan
Christensen et al, 1988 (Denmark)
7 depts of gastrointest. surg.
1975 - 1984
Bendahan et al, 1992 (Israel)
1977 - 1986
Nov - Feb
Csendes et al, 1995 (Chile)
Yen et al, 1996 (Taiwan)
1991 - 1992
Svanes et al, 1998 (Norway)
1935 - 1990
Wysocki et al, 1999 (Poland)
1991 - 1995
Janik & hwirot, 2000 (Poland)
1977 - 1996
No seasonal variation
Budzynski et al, 2000 (Poland)
1993 - 1997
No seasonal variation
Liu et al, 2003 (China)
1992 - 1997
Winter and Spring
Kocer et al, 2006 (Turkey)
2001 - 2004
The study was conducted with the approval of the local institutional committees for human research. The analysis included all consecutive hospital admissions for PUD that occurred between January 1, 1998 and December 31, 2005, as recorded in the database of the RER Center for Health Statistics. The RER is situated in north-eastern Italy and has a surface area of 22,124 Km2, has a total population of ~3,985,000 people (≈ 7% of the total population of Italy), with a density of 180 persons/Km2.
Starting from 1998, the RER elaborated an electronic database tracking all discharge hospital sheets (DHS - or "SDO" in Italian) of persons admitted to public and private hospitals, which collected an overall total of ~5.6 million cases as of the latest updated database (December 2005) used for this investigation. The DHS lists the name, sex, date of birth, date of hospital admission and discharge, department of admission and discharge, up to nine discharge diagnoses, and the most important diagnostic procedures coded according to the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). The RER health authorities removed patient name, exact address, and other potential identifiers from the database provided for this study, to respect national dispositions-by-law in terms of privacy. Birth date was the only identification data allowed for analysis, in order to categorize the admissions by age group and to clean the database of potential repeat hospital admissions of the same person. We sought to include in the statistical analyses only the calendar date of the first hospital admission of any given PUD crisis per patient, to adhere to the statistical assumption of independency of observations. It is possible, however, that data of different (multiple) patients with a same birth date could have been inappropriately deleted because they were believed to be a readmission for an ongoing PUD crisis of the same person, but the occurrence of such cases was rare, with no potential impact on the findings, given the almost 27,000 total PUD admissions considered. Of course, since the electronic RER database started on 1998, no information is available on cases of PUD admissions prior to that year.
The unit for the statistical analysis of the data was admission date for acute PUD as per ICD-9-CM codes 531.00 to 534.91. Only admissions directly related to PUD, i.e., only cases in which PUD was indicated as the main discharge diagnosis, were abstracted from the database. The total sample of hospital admission data was divided into subgroups categorized by sex, age (<65, 65-74, >75 yrs), site of lesion -- gastric ulcer or GU (ICD-9-CM codes from 531.00 to 531.91), duodenal ulcer or DU (ICD-9-CM codes from 532.00 to 532.91), peptic ulcer (PU), site unspecified (ICD-9-CM codes from 533.00 to 533.91), and gastrojejunal ulcer (ICD-9-CM codes from 534.00 to 534.91). They were also categorized by main complication, i.e., hemorrhage (ICD-9-CM codes due to UG: 531.0, 531.2, 531.4, 531.6; due to DU 532.0, 532.2, 532.4, 532.6; due to PU site unspecified 533.0, 533.2, 533.4, 533.6; due to gastrojejunal ulcer 534.0, 534.2, 534.4, 534.6), perforation (ICD-9-CM codes due to UG: 531.1, 531.2, 531.5, 531.6; due to DU 532.1, 532.2, 532.5, 532.6; due to PU site unspecified 533.1, 533.2, 533.5, 533.6; due to gastrojejunal ulcer 534.1, 534.2, 534.5, 534.6), and a rough indicator of outcome, i.e., fatal: in-hospital death, and nonfatal: patient discharged alive.
We used SPSS 13.0 for Windows, SPSS Inc., Chicago, IL, 2004 for statistical analysis of demographic data, e.g., age comparisons between men and women.
Temporal patterns in PUD admissions were assessed in two ways, considering a) total counts per single month and season (Spring: March 21-June 20, Summer: June 21-September 22, Fall: September 23-December 20; Winter: December 21-March 20), and b) prevalence proportion, such as the monthly prevalence of PUD admissions divided by the monthly prevalence of total hospital admissions, to assess if the temporal patterns in the raw data might be the consequence of seasonal and annual variations in hospital admissions per se in the region.
The distribution of the total and subgroup PUD hospital admissions within the four 3-month periods (seasons) of the year was tested for uniformity by the χ2 test for goodness of fit. Analysis of annual variation in admissions was performed by applying a partial Fourier series to the time series data using an internationally validated method (Chronolab software on an Apple Macintosh computer) . This method selects the harmonic, or combination of harmonics (cosine waveforms), that best explains the temporal variance of the data. The percentage of the overall variance attributable to the approximated cosine function serves as the estimate of the goodness of fit, with the F-test statistic applied to the variance accounted by the single or multiple cosine curve approximation versus straight-line approximation of the time series data to accomplish a test of the null hypothesis of zero amplitude, i.e., absence of significant temporal variation for the given period of the approximated curve function. The parameters calculated for the overall 1 yr in period (τ) cosine approximation of the time series data (τ = 8766 h) were: the midline estimated statistic of rhythm (MESOR, the rhythm-adjusted mean for the time period analyzed), amplitude (half the difference between the absolute maximum and minimum of the fitted approximation), and peak (acrophase) and trough (bathyphase) time referenced to 00:00 h December 31. Significance levels were set at p < 0.05.
Between January 1, 1998 and December 31, 2005, the database of the RER identified 26,848 hospital admissions corresponding to ICD-9-CM codes indicative of PUD; 16,795 (62.5%) were males (mean ± SD) 65 ± 16 yrs of age and 10,053 (37.5%) females 72 ± 15 yrs of age (t = 35,508 p < 0.001). PUD admissions were more commonly associated with advanced age; 7,151 were <65 yrs of age, 8,849 between 65 and 74 yrs of age, and 10,848 >75 yrs of age. There were more cases of duodenal (DU). (89.8%) than gastric ulcer (GU) (3.6%). As for outcome, there were 1,290 (4.8%) admissions culminated in an in-hospital death. Overall, 15,223 cases of complications were associated with complications, 12,682 being hemorrhage (47.2%) and 2,541 (9.5%) perforation.
Seasonal distribution of peptic ulcer: χ2 test for goodness of fit.
Difference between subgroups
Total of sample
t = 10.10
p = 0.022
t = 16.62
p = 0.011
≥ 75 yrs
t = 9.51
p = 0.03
t = 0.758
p = n.s.
t = 30.37
p < 0.001
Peptic ulcer, site unspecified
t = 1.788
p = n.s.
Seasonal distribution of PUD hospital admission: results of chronobiological time series analysis.
MESOR (± SE)
Peak (1°, 2°, 3°)
Sept/oct, Jan/Feb, Apr/May
Sept/Oct, Jan/Feb, Apr/May
Sept/Oct, Apr/May, Jan/Feb
Age < 65 yrs
Sept/Oct, Jan/Feb, Apr/May
Age 65-74 yrs
Jan/Feb, Sept/Oct, Apr/May
Age > 75 yrs
Sept/Oct, Apr/May, Jan/Feb
Final outcome: fatal
Dec/Jan, Apr/May, Aug/Sept
Final outcome: non-fatal
Sept/Oct, Jan/Feb, Apr/May
Sept/Oct, Jan/Feb, Apr/May
Mar/May, Sept/Nov, -
Sept/Oct, Jan/Feb, Apr/May
Sept/Oct, Jan/Feb, Apr/May
Sept/Oct, Jan/Feb, Apr/May
Sept/Oct, Jan/Feb, Apr/May
Sept/Oct, Apr/May, Jan/Feb
Sept/Nov, Apr/Jun, -
Peptic ulcerations of the gastro-duodenal tract are defects of the mucosal lining resulting from the epithelial cell damaged evoked by acid and pepsin as caustic agents . From the pathophysiological standpoint, PUD can be viewed as the consequence of the noxious effects of aggressive factors (i.e., acid and pepsin) prevailing over the defensive mechanisms of the gastroduodenal mucosa . According to the old, though ever valid, Schwartz's aphorism ("no acid, no ulcer"), gastric acid is of paramount importance among the aggressive factors in PUD. However, the discovery of Helicobacter pylori changed the perspective that PUD is simply a disorder of gastric acid homeostasis. Considerable research has clearly established that H. pylori is a significant cause of gastritis and PUD. Indeed, acid hypersecretion, which is commonly observed in PUD, is more likely the result of H. pylori infection rather than being the primary abnormality . Recent epidemiological surveys showed a decrease in the incidence of all upper gastrointestinal bleeding, but the incidence of PU bleeding (that is responsible for about 50% of all cases), has remained stable . Peptic ulceration and complications, such as perforation and bleeding, also result from the use of non-steroidal anti-inflammatory drugs (NSAIDs) [12, 15]. Based on experimental research and studies in humans, the GIT has been shown to have a specific temporal organization, which shows circadian rhythms in several parameters including gastric pH, digestive enzymes, mucosal cell replication, and blood flow [16, 17]. Several human studies [18–22] also suggest circadian variation in gastrointestinal bleeding. Annual or seasonal variation in the chronophysiology and balance of gastro-aggressive and gastro-defensive processes of the GIT has yet to be explored, whereas annual patterns in acute GIT conditions have often been reported.
Although seasonal variation in PUD onset has been rather extensively investigated, the conclusions of the previous studies, with the exclusion of two large investigations performed in the USA  and in China , are limited primarily because of small sample size. The present study, which is based on 27,000 hospital admissions, reveals an annual pattern in the hospital admission of severe PUD independent of patient sex, age, type of lesion (GU or DU), main complication (hemorrhage or perforation), and final outcome (fatal vs. non-fatal). We analyzed the PUD admission data in two different ways, i.e. as raw admission counts/month or season and also as prevalence proportions, i.e. number of PUD admissions versus number of all admissions independent of medical reasons/month and season. The former approach revealed several peaks in PUD hospital admissions during the year, with the most prominent one in October and lesser ones in January, March, and May. The latter approach suggested a 6-month cycle, with the major peak in admission rates in the very late summer (August-September) and secondary peak in January-February.
Seasonal variation in PUD, either complicated or uncomplicated, and typically investigated as the number of cases (rather than prevalence proportions) per month or season, has been a common research topic over the years, (Table 1). Autumnal and winter peaks have been reported in Germany , USA , and Italy . The most frequent complications of PUD were hemorrhage and perforation. As for hemorrhage, autumn or winter peaks have been found again in the USA , Russia , Taiwan [29, 30], and Japan . Thomopoulos et al.  in Greece, Yen et al.  in Taiwan, and Rodriguez et al in Mexico  found summer/autumn peaks, while Lopez-Cepero et al.  in Spain found no seasonality, and in Norway Svanes et al.  reported a 6-month time pattern. A different seasonal variation, with spring-summer peaks, was reported in Australia , Denmark , and Poland . On the other hand, winter peaks have been observed in Turkey , Israel , and China , and autumn peak in Chile . Other studies in Poland [43, 44], however, found no evidence of seasonality.
Why PUD is more frequent in winter and late summer-autumn months? Although the answer is far from being conclusive several factors have been claimed to play a role in PUD seasonality. Concerning severe PUD, Nomura et al.  found that the incidence of hematemesis due to GU over the year showed an inverse temporal relationship to temperature and relative humidity and a parallel relationship with atmospheric pressure. Liu et al. [24, 45] found a close relationship between detectable PUD and average temperature, average highest and lowest temperature, average atmospheric pressure, and the average dew point temperature. A recent nation-wide study conducted in Taiwan by Xirasagar et al.  found DU admissions were negatively associated with temperature, with a winter peak and summer trough in patients 35-49 and >50 yrs of age. On the other hand, a Spanish study  failed to find a correlation between the incidence of GU bleeding and ambient temperature, atmospheric pressure, relative humidity, wind direction and speed.
Seasonality of H. pylori infection is another possible factor which may affect PUD onset. Savarino et al. , however, did not find any difference in the percentage of H. pylori-positive DU cases between seasons or a parallel annual fluctuation in gastric acidity and H. pylori infection. These findings are in line with another study showing no significant correlation between the seasonal differences in the diagnosis of ulcer disease and presence of H. pylori infection . Whether NSAIDs, which are known to damage the epithelium of the GIT, play a role in the seasonal pattern of PUD hospitalizations remains unsettled. Circadian rhythms in the tolerance of the GIT to NSAIDs have been demonstrated in clinical studies. Lévi et al.  found that indomethacin taken once-a-day in the morning makes GIT mucosa more prone to damage than evening intake of the drug. Similar findings were obtained by Perpoint et al.  for ketoprofen. Both these clinical studies are consistent with the report of Moore & Goo  showing that a single high (1 gram) dose of aspirin in the morning (10:00 h) produced twice the number of gastric lesions than did evening (22:00) ingestion. We are unaware of any studies that have addressed annual or seasonal variation in the tolerance of the GIT to NSAIDs in humans. In laboratory animal studies, Leng  found that the ulcerogenic effect (maximal area of ulceration) of phenylbutazone in rats was greatest in October and December, while for acetylsalicylic acid it was February and March. It is theoretically possible that low temperature of these months could exacerbate co-morbidities, such as rheumatoid or osteoarthritis, thereby motivating greater reliance on corticosteroids and/or non-steroid anti-inflammatory medications.
Alcohol is another powerful gastrolesive variable in ulcerogenesis, and it is plausible that seasonal differences in alcohol consumption might contribute to seasonality of severe PUD hospital admissions. However, the seasonal pattern in drinking behavior has not been extensively studied. The only indirect available evidence reported a winter to summer increase in per-capita alcohol sales in the U.S.A. , and a higher summer frequency of deaths from accidents and incidents associated with alcohol consumption in Moscow .
Some previous studies reported a seasonal pattern for acute PUD, mainly characterized by autumn and winter peaks. The present large-scale, population-based study provides evidence of an annual pattern of PUD hospitalizations in the RER, characterized by peaks in autumn, spring and winter, when raw data were considered. However, when the analysis was done on the prevalence proportions, such as the monthly prevalence of PUD admissions divided by the monthly prevalence of total hospital admissions, a biphasic pattern was shown, with a main peak in late summer-autumn (August-September-October) and a second one in winter (January-February).
We are aware of the limitations of the present work, including lack of data on: 1) weather variables of the RER (characterized by a large extension and wide orographic and climatic conditions); 2) regional (or national) seasonal variation in the severity of patient co-morbidities (i.e., rheumatic diseases and related reliance upon NSAIDs); 3) alcohol consumption. It is possible, in fact, that susceptibility to different factors, such as NSAIDs, alcohol consumption and H. pylori infection may have an impact in different seasonal peaks of PUD worsening. Moreover, very little is known about the possible influence of biological rhythms on the occurrence of acute PUD. Although this study does not provide insights into pathogenetic factors, the possible demonstration of seasonal variation in PUD hospital admissions may prompt further research to better understand seasonality and guide appropriate management.
The authors would like to thank Dr. Nicola Napoli and Dr. Franco Guerzoni, from the Statistical Service of St. Anna Hospital of Ferrara, and the entire Staff of the Center for Health Statistics of Emilia Romagna region of Italy, for their valuable cooperation.
R.M. is funded by the University of Ferrara (Fondo Ateneo Ricerca, FAR)
R.D.G. is funded by the University of Bologna (Ricerca Fondamentale Orientata, RFO) and is a recipient of grants from "Fondazione del Monte di Bologna e Ravenna) and "Fondazione Cassa di Risparmio di Bologna", Bologna, Italy.
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