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Figure 1.

Monthly hospital admission rates for perforated and nonperforated appendicitis and influenza from 1970 to 2006. Data are presented as the number of hospital admissions per month per 10 000 US population. The left axis represents the scale for influenza rates and the right scale, for appendicitis. Influenza occurs almost exclusively in the winter months, whereas appendicitis is present throughout the year.

Figure 2.

Histograms of the monthly incidence rates of nonperforated and perforated appendicitis, intestinal infection, and influenza. There is a weak tendency for appendicitis to be more common in the summer months, intestinal infections are more common in the winter, and influenza is clearly a winter disease. Data are presented as the average for any given month in all the years between 1970 and 2006. Error bars are too small to be seen because of the very large sample sizes.

Figure 3.

Cointegration analysis of appendicitis and influenza rates. A, Both the nonperforated and influenza rates are nonstationary over time. B, The residual rate (annual nonperforated appendicitis rate − 0.788 × the annual influenza rate) as determined by applying ordinary least squares to the cointegrating equation app = a + b × flu + residual. This provides the consistent estimates of a = 6.27 and b = 0.788.

Figure 4.

Nonperforated appendicitis and influenza in the 4 major regions of the United States. To facilitate comparison of the rate at which these diseases change over time, the data were normalized to a mean of zero and an SD of 1.

Figure 5.

Quarterly rates of appendicitis and rotavirus infection. Data are reported in terms of the number of hospital admissions per 3-month quarter per 10 000 US population. No correlation was observed between rotavirus infections and appendicitis rates.

Figure 6.

Monthly rates of intestinal infections. Intestinal infections have been increasing in frequency over the years with substantial increases in peak incidence occurring after 1989.

Table 1.
Augmented Dickey-Fuller Test Statistic, ADFτ, With the Lag Order of the Dickey-Fuller Test Equation and 1-Sided P Values Taken From MacKinnon18,a
Table 2.
Johansen Multiple Equation Tests for Cointegrationa
1.
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Mulholland  MWLillemoe  KDDoherty  GMMaier  RVUpchurch  GR  Jr Greenfield's Surgery: Scientific Principles and Practice. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2006
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Rubenstein  ADJohnson  BB Salmonella appendicitis.  Am J Med Sci 1945;210 (4) 517- 523Article
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Andersson  RHugander  AThulin  ANyström  POOlaison  G Clusters of acute appendicitis: further evidence for an infectious aetiology.  Int J Epidemiol 1995;24 (4) 829- 833PubMedArticle
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Livingston  EHWoodward  WASarosi  GHaley  RW Disconnect between incidence of nonperforated and perforated appendicitis: implications for pathophysiology and management.  Ann Surg 2007;245 (6) 886- 892PubMedArticle
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Comparability of cause-of-death between ICD revisions. National Center for Health Statistics Web site. http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. Accessed November 17, 2009
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Estimates of selected comparability ratios based on dual coding of 1976 death certificates by the eighth and ninth revisions of the International Classification of Diseases. http://www.cdc.gov/nchs/data/mvsr/supp/mv28_11s.pdf. Accessed November 17, 2009
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Dickey  DABell  WRMiller  RB Unit roots in time series models: tests and implications.  Am Stat 1986;4012- 26
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Pedroni  P Critical values for cointegration tests in heterogeneous panels with multiple regressors.  Oxf Bull Econ Stat 1999;61653- 670Article
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Pedroni  P Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis.  Econometric Theory 2004;20597- 625Article
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Maddala  GSWu  S A comparative study of unit root tests with panel data and a new simple test.  Oxf Bull Econ Stat 1999;61631- 652Article
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MacKinnon  JG Numerical distribution functions for unit root and cointegration tests.  J Appl Econ 1996;11 (6) 601- 618Article
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MacKinnon  JGHaung  AAMichelis  L Numerical distribution functions of likelihood ratio tests for cointegration.  J Appl Econ 1999;14 (5) 563- 577Article
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Guo  YXiao  SYan  HSun  NDJiang  MSLiu  DY Cluster of acute hemorrhagic appendicitis among high school students in Wuhan, China.  Am J Surg 2004;188 (2) 115- 121PubMedArticle
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Quénel  PInfuso  AMazille  V An outbreak of appendectomies in La Désirade, Guadeloupe, August 1995-July 1996 [in French].  Rev Epidemiol Sante Publique 2005;53 (6) 581- 590PubMedArticle
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Gallerani  MBoari  BAnania  GCavallesco  GManfredini  R Seasonal variation in onset of acute appendicitis.  Clin Ter 2006;157 (2) 123- 127PubMed
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Luckmann  RDavis  P The epidemiology of acute appendicitis in California: racial, gender, and seasonal variation.  Epidemiology 1991;2 (5) 323- 330PubMedArticle
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Barker  DJ Rise and fall of Western diseases.  Nature 1989;338 (6214) 371- 372PubMedArticle
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Barker  DJOsmond  CGolding  JWadsworth  ME Acute appendicitis and bathrooms in three samples of British children.  Br Med J (Clin Res Ed) 1988;296 (6627) 956- 958PubMedArticle
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Tobe  T Inapparent virus infection as a trigger of appendicitis.  Lancet 1965;1 (7400) 1343- 1346PubMedArticle
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Tobe  T Viral appendicitis—immunohistological studies of monkeys orally infected by Coxsackie B5 type virus [in Japanese].  Nippon Rinsho 1967;25 (6) 1263- 1271PubMed
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Tobe  THorikoshi  YHamada  CHamashima  Y Virus infection as a trigger of appendicitis: experimental investigation of Coxsackie B5 virus infection in monkey intestine.  Surgery 1967;62 (5) 927- 934PubMed
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Bonard  ECPaccaud  MF Abdominal adenovirosis and appendicitis.  Helv Med Acta 1966;33 (2) 164- 171PubMed
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Jackson  RHGardner  PSKennedy  J McQuillin  J Viruses in the aetiology of acute appendicitis.  Lancet 1966;2 (7466) 711- 714PubMedArticle
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Prince  RL Evidence for an aetiological role for adenovirus type 7 in the mesenteric adenitis syndrome.  Med J Aust 1979;2 (2) 56- 57PubMed
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Searle  AOwen  WJ Measles appendicitis.  Br J Clin Pract 1990;44 (12) 749PubMed
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Neumayer  LAMakar  RAmpel  NMZukoski  CF Cytomegalovirus appendicitis in a patient with human immunodeficiency virus infection: case report and review of the literature.  Arch Surg 1993;128 (4) 467- 468PubMedArticle
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Lin  JBleiweiss  IJMendelson  MHSzabo  SSchwartz  IS Cytomegalovirus-associated appendicitis in a patient with the acquired immunodeficiency syndrome.  Am J Med 1990;89 (3) 377- 379PubMedArticle
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Bennion  RSThompson  JE  JrGil  JSchmit  PJ The role of Yersinia enterocolitica in appendicitis in the southwestern United States.  Am Surg 1991;57 (12) 766- 768PubMed
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Fitz  RH Perforating inflammation of the vermiform appendix with special reference to its early diagnosis and treatment.  Trans Assoc Am Physicians 1886;1107- 144
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• Cite This

### Citation

Alder AC, Fomby TB, Woodward WA, Haley RW, Sarosi G, Livingston EH. Association of Viral Infection and Appendicitis. Arch Surg. 2010;145(1):63–71. doi:10.1001/archsurg.2009.250

Original Article
January 2010

# Association of Viral Infection and Appendicitis

Author Affiliations

Author Affiliations: Divisions of Gastrointestinal and Endocrine Surgery (Drs Alder and Livingston) and Epidemiology, Department of Internal Medicine (Dr Haley), University of Texas Southwestern Medical Center, Department of Statistical Science, Southern Methodist University (Drs Fomby and Woodward), and Department of Surgery, VA Medical Center (Dr Livingston), Dallas, and Department of Bioengineering, University of Texas at Arlington (Dr Livingston); and Department of Surgery, VA Medical Center, Gainesville, Florida (Dr Sarosi).

Arch Surg. 2010;145(1):63-71. doi:10.1001/archsurg.2009.250
Abstract

Hypothesis  What causes appendicitis is not known; however, studies have suggested a relationship between viral diseases and appendicitis. Building on evidence of cyclic patterns of appendicitis with apparent outbreaks consistent with an infectious etiology, we hypothesized that there is a relationship between population rates of appendicitis and several infectious diseases.

Design  Epidemiologic study.

Setting  The National Hospital Discharge Survey

Patients  Estimated US hospitalized population.

Main Outcome Measures  International Classification of Diseases, Ninth Revision, Clinical Modification discharge diagnosis codes of the National Hospital Discharge Survey were queried from 1970 to 2006 to identify admissions for appendicitis, influenza, rotavirus, and enteric infections. Cointegration analysis of time series data was used to determine if the disease incidence trends for these various disease entities varied over time together.

Results  Rates of influenza and nonperforating appendicitis declined progressively from the late 1970s to 1995 and rose thereafter, but influenza rates exhibited more distinct seasonal variation than appendicitis rates. Rotavirus infection showed no association with the incidence of nonperforating appendicitis. Perforating appendicitis showed a dissimilar trend to both nonperforating appendicitis and viral infection. Hospital admissions for enteric infections substantially increased over the years but were not related to appendicitis cases.

Conclusions  Neither influenza nor rotavirus are likely proximate causes of appendicitis given the lack of a seasonal relationship between these disease entities. However, because of significant cointegration between the annual incidence rates of influenza and nonperforated appendicitis, it is possible that these diseases share common etiologic determinates, pathogenetic mechanisms, or environmental factors that similarly affect their incidence.

Appendectomy is the most common emergency general surgical procedure with more than 250 000 operations performed annually in the United States.1 Despite its ubiquitous nature, why appendicitis occurs remains unknown. Several theories exist attempting to explain this disease's cause. At the heart of most appendicitis theories is luminal obstruction. The appendix becomes obstructed either by a fecalith or enlarged lymphoid tissues resulting in high luminal pressures that compromise mucosal integrity leading to infection. Infections are thought to cause appendicitis2 by stimulating lymphoid hyperplasia, which obstructs the appendix. Many viral disorders are associated with lymph node enlargement, which, in turn, can obstruct the appendiceal lumen. Viral infections could cause mucosal ulcerations that could result in subsequent bacterial infection of the appendix.3,4 Appendicitis has been associated with a viral prodrome compatible with a viral illness preceding the first symptoms of appendicitis. Early epidemiologic investigations found that appendicitis was more frequent during months when respiratory infections were present.5

Several epidemiologic patterns suggest a link between appendicitis and infections. Appendicitis outbreaks have been described. In 1 small Texas town, a significant cluster of cases was described over a very short period, suggesting an infectious etiology.6 Larger-scale investigations from Sweden revealed that the disease has a propensity to cluster in time and location.7 A 35-year epidemiologic investigation from our group uncovered apparent appendicitis outbreaks in the United States.8

To develop further evidence possibly linking specific infectious etiologies with appendicitis, we analyzed a national sample of hospital discharge data for associations between rates of appendicitis and certain candidate infectious diseases including influenza, rotavirus, and other intestinal infections.

Methods

The annual National Hospital Discharge Survey (NHDS) databases for 1970 to 2006 were acquired from the Centers for Disease Control and Prevention (CDC) (http://www.cdc.gov/nchs/nhds.htm) and the Inter-University Consortium for Political and Social Research (http://www.icpsr.umich.edu/icpsrweb/ICPSR) Web sites. The NHDS is the principal database used by the US government for monitoring hospital use. Each year, approximately 300 000 hospital discharges are selected for the NHDS from the 35 million total discharges nationally. The NHDS uses a complex multistage design to ensure that the database is representative of the US hospitalized population. Using US census information, the CDC provides statistical weighting factors for each patient entry in the NHDS database so that incidence and prevalence estimates of hospitalized disease can be made for the entire US population. These weighting factors were used to determine the national prevalence of appendicitis. The estimated US population for each year of the study was obtained from the US Census Bureau as accessed through the CDC Web site (http://wonder.cdc.gov/population.html). Disease incidence per geographic region was determined in regions as defined in the NHDS.

The NHDS converted from International Classification of Diseases Adapted for Use in the United States, Eighth Revision (ICDA-8) encoding to International Classification of Diseases, Ninth Revision (ICD-9) in 1979. Before 1979, codes for the various forms of appendicitis diagnoses were the same in the ICDA-8 system as in the ICD-9. The same was true for enteric infections. For cases in the database occurring from 1970 through 1978, procedures were identified as drainage of appendiceal abscess (code 410), appendectomy (code 411), appendicostomy (code 412), closure of appendiceal fistula (code 413), and other appendectomy (code 419). Hospital admissions for influenza were identified by diagnostic codes ranging from 470 to 474. Abdominal pain was encoded with 785.5.

Beginning in 1979, the ICD-9 coding system was implemented. Appendicitis was defined as a patient having any of the following 7 NHDS discharge diagnostic codes: 540.9 (acute appendicitis), 541.0 (appendicitis-unqualified), 542.0 (other appendicitis), 543.0 (other diseases of the appendix), and 543.0 (unspecified disease of the appendix). Perforated appendicitis (code 540.0) or appendiceal abscess (code 540.1) were aggregated into a single category called “perforated appendicitis.” Nonperforated appendicitis was defined as having any appendicitis diagnostic code except for 540.0 or 540.1. Procedures codes used were appendectomy (47.0), laparoscopic appendectomy (47.01), other appendectomy (47.09), incidental appendectomy (47.1), laparoscopic incidental appendectomy (47.11), other incidental appendectomy (47.19), drainage of an appendiceal abscess (47.2), “other” appendiceal operation (47.9), appendicostomy (47.91), closure of an appendiceal fistula (47.92), and other appendiceal operation (47.99). Incidental appendectomies were identified if there were any of the following 3 procedure codes: 47.1, 47.11, or 47.19. Nonincidental appendectomies were defined as having any appendectomy procedure codes excluding those for incidental procedures. A negative appendectomy was defined as having any procedure code of 47.0, 47.01, or 47.09 without any diagnostic coding for appendicitis.

A diagnosis of any type of intestinal infectious disease was established if the diagnostic codes ranged from 008.00 to 008.89. Of these, a subset of intestinal viral diseases (ICD-9 code 008.6X) was assessed in greater detail. Only rotavirus (code 008.61) had sufficient numbers of admissions to be analyzed. A specific rotavirus ICD-9Clinical Modification diagnostic code was introduced in 1993. There were too few cases to assess on a monthly basis. For that reason, rotavirus admissions were aggregated into 3-month quarters. All other data were analyzed by monthly or annual aggregations of the disease incidences.

To determine if inpatient influenza rates approximated those of the outpatient disease, we examined 7 years of CDC survey data of outpatient influenza. Outpatient influenza is tracked by establishing the proportion of all outpatient visits that are caused by influenza (http://www.cdc.gov/flu/weekly/weeklyarchives2006-2007/data/ILI0607.htm). These proportions were found to correlate to annual inpatient admission rates for 2000 to 2007 (ρ = 0.59).

Disease incidence estimates can be affected by coding changes. When a major change in disease classification occurs, disease entities may be grouped differently, they may have new names or definitions that cause diseases to be classified in other sections of the coding schema than before, or the definitions for a disease may change resulting in its classification into new areas. When this occurs, plotting of the disease incidence over time will have discontinuities at the years in which the coding change was implemented. If the discontinuity is obvious and the trends on either side of the break are reasonably linear, then correction factors can be determined. Correction factors are calculated by dividing the disease incidence ratio for the years before the new code introduction by that for the years after the new codes were used. The resultant ratio is known as the comparability ratio. The ICD system is assessed for this phenomenon with each major update and comparability ratios published. Of the disease entities we studied, only intestinal infections had a significant discontinuity when ICDA-8 was converted to ICD-9 in 1979. We applied a correction factor of 5.49 to the pre-1978 data for intestinal infections, removing the observed 1978 to 1979/ICDA-8 to ICD-9 coding change–induced disease incidence discontinuity.911

Similarity in the long-term trending or wandering behavior of 2 disease rates was tested using the technique of cointegration analysis,12 which has been widely used in econometric time series analysis. The analysis was based on an autoregressive modeling of the disease rate time series. In this setting, 2 disease rates were considered to be cointegrated (varying together over time) if each rate was unit-root nonstationary and the processes showed significant indication that they were “tethered together”1 over time as measured by cointegration analysis. We tested the null hypothesis that the time series had a unit root and, therefore, was nonstationary using the augmented Dickey-Fuller test.13,14 Rejecting the null hypothesis (P ≤ .05) supports stationarity, whereas failing to reject the null hypothesis (P > .05) supports unit-root nonstationarity. Based on the evidence of a unit root, the next step was to test for a cointegrating relationship between nonperforated appendicitis and influenza, both nationally and regionally. We considered panel cointegration tests designed to increase the power of detecting cointegration when cross-section data (ie, regional data in our case) are available. Panel cointegration tests proposed by Pedroni15,16 and by Maddala and Wu17 were also applied. All time series computations in this article were done using the econometrics software package EVIEWS 6 (1997-2007; Quantitative Micro Software, LLC, Irvine, California).

Results

Both nonperforating appendicitis and influenza declined in overall incidence until 1995. After that, the overall incidence of both diseases has been increasing (Figure 1). This U-shaped curve was not observed for perforating appendicitis, which exhibited a slowly rising incidence over the years. Influenza exhibited a sharp increase in incidence in the winter months, with the disease rarely observed during the remaining months of the year (Figure 2). Appendicitis occurred throughout the year, with a slight tendency to occur more frequently in the summer months. Intestinal infections also were observed throughout the year but had a propensity to occur in the winter months. Influenza admissions occurred mostly between December and February and rarely occurred at other times of the year.

Although the strong winter presence of influenza was not observed with appendicitis, the overall annual incidences for these diseases appear to wander in time together (Figure 3). The results of unit root tests for the national and regional data are shown in Table 1 and Table 2 where the national data on nonperforated appendicitis and influenza as well as the regional data on both disease rates show evidence of a unit root since the null hypothesis of a unit rate is not rejected in any of the cases. Because of the small sample size of our overall analysis (ie, 36 data points, 1 representing each year's disease incidence), we also examined the consistency of the appendicitis-influenza disease incidence relationship in the 4 major US regions. In Figure 4, we show normalized overlays of the incidence rates for nonperforated appendicitis and influenza for the 4 regions. From Table 1, the augmented Dickey-Fuller test shows evidence of a unit root for both disease incidence rates in each region. Table 2 shows that both the trace and maximum eigenvalue tests indicate cointegration between nonperforated appendicitis and influenza both nationally and regionally except for the West. When these analyses were repeated by only including influenza admissions for patients older than 40 years and appendicitis admissions for those younger than 20 years, all regions of the country demonstrated statistically significant cointegration. Panel cointegration tests proposed by Pedroni15,16 and by Maddala and Wu17 were also applied, and the results (data not shown) were consistent with those previously obtained in the region-by-region analysis using the Johansen tests. That is, the panel results, like these Johansen test results, were supportive of cointegration in all the major regions of the United States.

Figure 5 shows the relationship between appendicitis and intestinal rotavirus infection. International Classification of Diseases–specific codes for rotavirus were only available after 1993. Because of the relatively low rotavirus incidence, data were aggregated into quarters rather than months. Rotavirus infection peaked in the winter months, but there was no obvious correlation between rotavirus infection and appendicitis, and the Dickey-Fuller tests showed no evidence of cointegration (data not shown).

Unlike the secular trends in nonperforated appendectomy rates, intestinal infections have been steadily increasing in incidence (Figure 6). These infections had peak incidence in about March of any given year (Figure 2). The overall and peak admission rates in each year began increasing in 1989. As with influenza, the annual peak incidence for hospital admissions attributable to rotavirus infections occurred in March. Whereas influenza admissions were unusual in the nonwinter months, intestinal infection admission rates were observed throughout the year. Of interest was the tendency for the within-year variation to dramatically increase in approximately 1989. Investigation showed that this was not due to a coding change, and we believe that the source of the increased variation should be further investigated.

Comment

What causes appendicitis remains a mystery. Our previous analysis of appendicitis time trends demonstrated that the increasing appendicitis rates observed after 1995 paralleled the rise, and could possibly be related to, increased use of computed tomographic scanning and laparoscopic surgery.8 However, the year-to-year variation in the nonperforating appendicitis incidence and apparent disease outbreaks suggested that appendicitis is caused by an infectious agent.8 The current study was performed to further investigate this possibility. We did find that there were epidemiologic similarities between the rates of nonperforating appendicitis and influenza. The annual incidence rates for both diseases progressively fell in parallel over the 2.5 decades from 1970 until 1995 and thereafter both began to rise in parallel. Moreover, time series analysis demonstrated statistically significant cointegration of the wanderings of the annual incidence rates of the 2 diseases. Appendicitis shared no common pattern with intestinal infections or with documented rotavirus infections. These findings suggest that nonperforating appendicitis may be caused by an infectious agent or other process related to influenza virus infection; however, since influenza has a winter peak that is not observed with nonperforating appendicitis, it is unlikely to be a proximate cause. These findings also suggest that our previously observed parallel rise in nonperforating appendicitis after 1995 and in use of laparoscopic appendectomy and/or computed tomographic scanning might be coincidental and not causative.

Further evidence for the likelihood that appendicitis is caused by an infectious disease is the observation that the disease occurs in clusters. Several well-defined disease outbreaks have been identified6,7,20,21 in addition to our previously described pattern of disease outbreaks.8 Seasonal changes in appendicitis have also been described22; however, we found that although there was a tendency for appendicitis to be more common in the summer months, the seasonal variation was modest, consistent with previous reports.23

The incidence of perforated appendicitis did not correlate with nonperforating appendicitis or with the other infectious diseases we evaluated, suggesting that perforated appendicitis has causative factors that are more complex than the simple delay in treating acute appendicitis. This has important clinical ramifications since appendectomy is generally performed as an emergency operation for fear of causing a perforation if treatment is delayed. Our epidemiologic findings suggest that patients who have perforated appendicitis have a different disease entity than those with nonperforating disease.

Intestinal infections have been increasing with time. In 1989, there was a marked upsurge in their annual peak incidence. These findings appear to contradict a theory explaining changes in the incidence of appendicitis called the hygiene hypothesis. The rising appendicitis rate observed in the early 20th century paralleled an improvement in living conditions with fewer intestinal infections.24,25 This observation led to the hygiene hypothesis wherein it was posited that better hygiene caused less exposure to infectious agents, reducing the immune system's ability to prevent appendicitis.25 Up to 1995, our findings were consistent with this hypothesis since increasing numbers of persons with intestinal infection could result in enhanced immunity to other gastrointestinal infections such as appendicitis. That both intestinal infections and nonperforating appendicitis appear to have increased in incidence for the past decade mitigates against the hygiene hypothesis.

Our observation that intestinal infections are on the rise is interesting. One could hypothesize that increased use of potent antibiotics has changed the intestinal flora or that increased use of potent inhibitors of gastric acid secretion has reduced the pH barrier to intestinal infection. The intestinal infections resulting in hospitalization might be due to resistant strains of bacteria or from increased susceptibility to unidentified organisms that have become more pathogenic.

Viral illness has been implicated by some researchers as the cause for appendicitis. Viral infection of the appendix could cause mucosal ulceration followed by secondary bacterial infection of the appendix. Alternatively, viral disease could result in lymphoid hyperplasia of the appendix with resultant obstruction and mucosal injury followed by bacterial infection. Several viral agents have been hypothesized to cause appendicitis. Coxsackievirus has been associated with cecal inflammation and periappendiceal lymphoid hyperplasia.7,26 Animal studies have shown that coxsackievirus infection can result in an appendicitis-like syndrome.27,28 Lymph nodes and sera obtained from patients with appendicitis have shown evidence for simultaneous adenovirus infection.2931 Measles virus and cytomegalovirus have also been associated with appendicitis.3234 Bacterial infection with pathogens, such as Yersinia enterocolitica, has been implicated in appendicitis pathogenesis.35 One viral illness that we could investigate was rotavirus since the NHDS database had sufficient numbers of these cases, allowing for a comparison between rotavirus and appendicitis admissions. We found no correlation for these disease entities, suggesting that rotavirus is not a cause of appendicitis.

Most theories regarding the underlying causes of appendicitis rely on the notion that the appendix becomes obstructed. This line of thinking dates back to Reginald Fitz's first description of appendicitis wherein he had observed fecaliths on autopsies and assumed that they contributed to the pathogenesis of this disease.36 Animal studies have shown that artificially elevating appendiceal luminal pressure can result in appendicitis.37 Although an attractive hypothesis, experimental evidence suggests that the role of fecaliths as a cause for appendicitis is limited.38 Intraoperative intraluminal pressure measurements revealed that pressures were normal in acute appendicitis and only became elevated in late-stage disease, suggesting that obstruction occurs as inflammation progresses.39 Although fecaliths can be seen in appendicitis specimens, they only occur rarely.40 Factors more complex than simple obstruction must contribute to appendicitis pathogenesis.

In conclusion, although influenza and nonperforating appendicitis have dissimilar seasonal peak incidences, parallel year-to-year peak incidence trends suggest a viral etiology for appendicitis. No association was found between the intestinal infections, rotavirus, and appendicitis. Further work more precisely identifying infectious agents in cases of appendicitis is necessary to identify potential causative agents.

Article Information

Correspondence: Edward H. Livingston, MD, Gastrointestinal and Endocrine Surgery, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Room E7-126, Dallas, TX 75390-9156 (edward.livingston@utsouthwestern.edu).

Accepted for Publication: February 25, 2009.

Author Contributions:Study concept and design: Alder, Fomby, Sarosi, and Livingston. Acquisition of data: Livingston. Analysis and interpretation of data: Alder, Fomby, Woodward, Haley, Sarosi, and Livingston. Drafting of the manuscript: Alder, Woodward, and Livingston. Critical revision of the manuscript for important intellectual content: Fomby, Woodward, Haley, Sarosi, and Livingston. Statistical analysis: Fomby, Woodward, Haley, and Livingston. Obtained funding: Livingston. Administrative, technical, and material support: Sarosi.

Financial Disclosure: None reported.

References
1.
Addiss  DGShaffer  NFowler  BSTauxe  RV The epidemiology of appendicitis and appendectomy in the United States.  Am J Epidemiol 1990;132 (5) 910- 925PubMed
2.
Mulholland  MWLillemoe  KDDoherty  GMMaier  RVUpchurch  GR  Jr Greenfield's Surgery: Scientific Principles and Practice. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2006
3.
Rubenstein  ADJohnson  BB Salmonella appendicitis.  Am J Med Sci 1945;210 (4) 517- 523Article
4.
Sisson  RGAhlvin  RCHarlow  MC Superficial mucosal ulceration and the pathogenesis of acute appendicitis.  Am J Surg 1971;122 (3) 378- 380PubMedArticle
5.
Ladd  WLGross  RE Abdominal Surgery of Infancy and Childhood.  Philadelphia, PA: WB Saunders Co; 1941
6.
Martin  DLGustafson  TL A cluster of true appendicitis cases.  Am J Surg 1985;150 (5) 554- 557PubMedArticle
7.
Andersson  RHugander  AThulin  ANyström  POOlaison  G Clusters of acute appendicitis: further evidence for an infectious aetiology.  Int J Epidemiol 1995;24 (4) 829- 833PubMedArticle
8.
Livingston  EHWoodward  WASarosi  GHaley  RW Disconnect between incidence of nonperforated and perforated appendicitis: implications for pathophysiology and management.  Ann Surg 2007;245 (6) 886- 892PubMedArticle
9.
Comparability of cause-of-death between ICD revisions. National Center for Health Statistics Web site. http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. Accessed November 17, 2009
10.
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