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Trends in gastroenteritis-associated mortality in the United States, 1985–2005: variations by ICD-9 and ICD-10 codes
Open accessAbstract
BACKGROUND: Trends in gastroenteritis-associated mortality are changing over time with development of antibiotic resistant strains of certain pathogens, improved diagnostic methods, and changing healthcare. In 1999, ICD-10 coding was introduced for mortality records which can also affect trends. We assess trends in gastroenteritis-associated mortality and changes associated with coding. METHODS: Trends in gastroenteritis-associated mortality rates in the United States were examined using the National Center for Health Statistics Multiple Cause-of-Death Mortality databases for 1985-2005. All deaths with the underlying cause or any contributing cause included gastroenteritis were included. Cases were selected based on ICD9 (pre-1999) and ICD10 (1999-2005) codes and all analyses were stratified by ICD usage. Annual trends in age adjusted mortality rates were assessed using linear regression spline analysis. Relative risks and 95% confidence intervals (CIs) were calculated using Poisson regression adjusted for age group, sex, race, and region. RESULTS: There were a total of 190,674 deaths related to gastroenteritis in the U.S. from 1985-2005 with an average of 9,080 per year. During this time the percent of deaths related to gastroenteritis more than tripled, increasing from 0.25% to 0.80% of all deaths. Though the time periods varied in length, we demonstrate a significant increase in slope from a 0.0054% annual increase during the period 1985-1998, when ICD-9 coding was used, to a 0.0550% annual increase during 1999-2005, when ICD-10 coding was used. For both time periods, the oldest age group (75+ years) demonstrated the highest risk of death due to gastroenteritis. Additionally, males demonstrated higher risk than females and blacks were at higher risk than whites for death due to gastroenteritis. CONCLUSIONS: This analysis demonstrates the public health burden of gastroenteritis-associated mortality in the United States and changes in trends due to change from ICD-9 to ICD-10 coding. The overall rate of gastroenteritis-associated mortality has more than tripled over the 21-year period from 1985 to 2005 and the primary burden of deaths due to gastroenteritis is in the elderly population.
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Changes in versions of code classification systems (e.g., from ICD-9 to ICD-10) may alter the validity of ascertainment using coded data.
“In addition, changes in versions of code classification systems (e.g., from International Classification of Diseases (ICD)-9 to ICD-10) may alter the validity of ascertainment using coded data [65,66].”
From The Reporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) statement. (2015) · cites this paper as [66]
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Citations
Cites
Foodborne illness acquired in the United States—Major pathogens
Scallan, E., Hoekstra, R. M., Angulo, F. J., Tauxe, R. V., Widdowson, M.-A., Roy, S. L., Jones, J. L., & Griffin, P. M. (2011) · Emerging Infectious Diseases · doi:10.3201/eid1701.p11101 · Cited by 7,657 · cited 1×
“states, together with passive surveillance data were used to estimate that 31 major pathogens cause 1,351 deaths (90% CrI 712–2,268) annually [7].”
MethodGlobal, regional, and national causes of child mortality in 2008: a systematic analysis
Black, R. E., Cousens, S. N., Johnson, H. L., Lawn, J. E., Rudan, I., Bassani, D. G., Jha, P., Campbell, H. J., Walker, C. L. F., Cibulskis, R. E., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60549-1 · Cited by 3,062 · cited 1×
“, contaminated food or water and person-to-person transmission) [1].”
BackgroundFoodborne Illness Acquired in the United States—Unspecified Agents
Scallan, E., Griffin, P. M., Angulo, F. J., Tauxe, R. V., & Hoekstra, R. M. (2010) · Emerging infectious diseases · doi:10.3201/eid1701.p21101 · Cited by 1,048 · cited 1×
“In addition, an estimated 1,686 deaths (90% CrI 369– 3,338) annually are due to foodborne illness from unspecified pathogenic agents [8].”
BackgroundDisparities in Health Care by Race, Ethnicity, and Language Among the Insured
Fiscella, K. A., Franks, P. J., Doescher, M. P., & Saver, B. G. (2002) · Medical Care · doi:10.1097/00005650-200201000-00007 · Cited by 917 · cited 1×
“This increased risk maybe due delayed treatment of disease [21,22].”
Background(2008) · PsycEXTRA Dataset · doi:10.1037/e458062008-002 · Cited by 903
(2001) · PubMed · Cited by 612
Increase inClostridium difficile–related Mortality Rates, United States, 1999–2004
Redelings, M. D., Sorvillo, F. J., & Mascola, L. (2007) · Emerging infectious diseases · doi:10.3201/eid1309.061116 · Cited by 431
Sensitive populations: who is at the greatest risk?
Gerba, C. P., Rose, J. B., & Haas, C. N. (1996) · International Journal of Food Microbiology · doi:10.1016/0168-1605(96)00996-8 · Cited by 383 · cited 1×
“leads to more people with increased vulnerability to GI infections due to compromised immune systems [5,6,20].”
BackgroundEpidemiology of Clostridium difficile-associated infections
Barbut, F., & Petit, J. (2001) · Clinical Microbiology and Infection · doi:10.1046/j.1198-743x.2001.00289.x · Cited by 352 · cited 1×
“difficile, primarily a nosocomial infection [18], contributed a majority of deaths and drove the results for bacterial-associated mortality, therefore trends were analyzed both with and without this cause.”
BackgroundHall, A. J., Curns, A. T., McDonald, L. C., Parashar, U. D., & Lopman, B. A. (2012) · Clinical Infectious Diseases · doi:10.1093/cid/cis386 · Cited by 300
Population ageing in the United States of America: implications for public programmes
Wiener, J. M., & Tilly, J. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.4.776 · Cited by 271 · cited 2×
“leads to more people with increased vulnerability to GI infections due to compromised immune systems [5,6,20].”
BackgroundCassell, G. H. (2001) · JAMA · doi:10.1001/jama.285.5.601 · Cited by 163 · cited 1×
“difficile and maybe due to the increase in antibiotic resistant pathogens [24,25].”
BackgroundDiarrheal deaths in the United States, 1979 through 1987. A special problem for the elderly
Lew, J. F. (1991) · JAMA · doi:10.1001/jama.265.24.3280 · Cited by 157
Racial and ethnic differences in access to medical care in managed care plans.
Hargraves, J. L., Cunningham, P. J., & Hughes, R. G. (2001) · PubMed · doi:10.13016/azcg-jxql · Cited by 123 · cited 1×
“This increased risk maybe due delayed treatment of disease [21,22].”
BackgroundConfronting the Problem of Increasing Antibiotic Resistance
Hellinger, W. C. (2000) · Southern Medical Journal · doi:10.1097/00007611-200009000-00001 · Cited by 42
Chui, K. K. H., Jagai, J. S., Griffiths, J. K., & Naumova, E. N. (2011) · American Journal of Public Health · doi:10.2105/ajph.2010.300096 · Cited by 28 · cited 1×
“A study analyzing the seasonal patterns of these non-specific disease categories suggests that these may be due to viral pathogens [23].”
BackgroundSelf-citationThe impact of introducing ICD-10 on analysis of respiratory mortality trends in England and Wales.
Brock, A., Griffiths, C., & Rooney, C. (2006) · PubMed · Cited by 28
Trends in Enteric Disease as a Cause of Death in the United States, 1989-1996
Peterson, C. A. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf172 · Cited by 18
Confronting the Problem of Increasing Antibiotic Resistance
Hellinger, W. C. (2000) · Southern Medical Journal · doi:10.1097/00007611-200093090-00001 · Cited by 18
[«Bridge Coding» ICD-9, ICD-10 and effects on mortality statistics].
Brocco, S., Vercellino, P., Goldoni, C. A., Alba, N., Gatti, M. G., Agostini, D., Autelitano, M., Califano, A., Deriu, F., Rigoni, G., et al. (2010) · PubMed · Cited by 10
Joyner, J., Simmons, D. R., Moore, M. A., & Ferrario, C. M. (2009) · Journal of Clinical Hypertension · doi:10.1111/j.1751-7176.2009.00232.x · Cited by 4 · cited 1×
“In the Southeastern United States, a study found that the change to ICD10 underestimated mortality due to heart disease and cerebrovascular disease and overestimates deaths due to diabetes [12].”
BackgroundDiarrheal Deaths in the United States, 1979 Through 1987
Lew, J. (1991) · JAMA · doi:10.1001/jama.1991.03460240076031 · cited 2×
“In contrast, in the United States the elderly have a higher mortality rate due to gastrointestinal infections [2,3].”
Background
Flagged first, then by citations
Research works printed but not linked: 1
- Rothman KJ, Greenland S, Lash TL: Modern Epidemiology. 2008, Lippincott Williams and Wilkins, Philadelphia, PA, 3
Cited by
Sorted by citations
Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., Langan, S. M., & RECORD Working Committee (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001885 · Cited by 5,749
Mokomane, M., Kasvosve, I., Melo, E. D., Pernica, J. M., & Goldfarb, D. M. (2018) · Therapeutic Advances in Infectious Disease · doi:10.1177/2049936117744429 · Cited by 262
Protection of Anaerobic Microbes from Processing Stressors Using Metal–Phenolic Networks
Fan, G., Wasuwanich, P., Rodriguez-Otero, M. R., & Furst, A. L. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c09018 · Cited by 141
Benchimol, E. I., Smeeth, L. L., Guttmann, A., Harron, K. L., Hemkens, L. G., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E. B., & Langan, S. (2016) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2016.07.010 · Cited by 98
Trends in Pediatric Primary Care Visits During the Coronavirus Disease of 2019 Pandemic
Schweiberger, K. A., Patel, S. Y., Mehrotra, A., & Ray, K. N. (2021) · Academic Pediatrics · doi:10.1016/j.acap.2021.04.031 · Cited by 76
Lai, H.-K., Hales, S., Woodward, A. J., Walker, C. G., Marks, E. J., Pillai, A., Chen, R. X., & Morton, S. (2020) · Environment International · doi:10.1016/j.envint.2020.106136 · Cited by 50
Chen, Y., Liu, B. C., Glass, K., & Kirk, M. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-010161 · Cited by 30
Moon, R. C., Bleak, T. C., Rosenthal, N. A., Couturier, B. A., Hemmert, R. B., Timbrook, T. T., Brown, H., & Fang, F. C. (2023) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002186 · Cited by 25
Bucci, A., Petrella, E., Celico, F., & Naclerio, G. (2017) · Hydrogeology Journal · doi:10.1007/s10040-017-1562-8 · Cited by 24
Wichmann, B., & Wichmann, R. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-40727-z · Cited by 16
“…associated with hospital fixed characteristics 19 , 3. common shocks across the system 20,21 , 4. the reason for ICU hospitalization (diagnosis) 22,23 , 5. time-varying (non-linear) sex and ages effects 24 , and 6. time-varying hospital capacity (number of ICU patients) 25 , the mortality risk of…”
Mitra, A. K., Asala, A. F., Malone, S., & Mridha, M. K. (2023) · Diseases · doi:10.3390/diseases11040138 · Cited by 13
“According to the Centers for Disease Control and Prevention (CDC), gastroenteritis is the most prevalent infectious disease syndrome in the United States, accounting for over 350 million illnesses annually and about 200,000 deaths, with the elderly having higher mortality risks [3,4].”
MethodBedard, N. A., Carender, C. N., DeMik, D. E., Browne, J. A., Schwarzkopf, R. M., & Callaghan, J. J. (2020) · The Journal of Arthroplasty · doi:10.1016/j.arth.2020.12.009 · Cited by 8
Histologic and Clinical Correlates of Multiplex Stool Polymerase Chain Reaction Assay Results
Hissong, E., Mowers, J., Zhao, L., Greenson, J. K., Bachman, M., & Lamps, L. W. (2022) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2021-0329-oa · Cited by 6
Kramme, S., Dähne, T., Fomenko, A., & Panning, M. (2022) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed7050080 · Cited by 6
Szymczak, W. A., Engsbro, A. L., Lisby, J. G., González‐López, J. J., Granato, P. A., Ledeboer, N. A., Wolk, D. M., Young, S., Rhoads, D. D., Caspar, Y., et al. (2025) · Journal of Clinical Microbiology · doi:10.1128/jcm.01983-24 · Cited by 5
“Certain populations are more vulnerable to severe disease and complications associated with acute gastroenteritis, including the elderly (>65 years old), young children ( 5 years old), and the immunocompromised (7–9).”
Orosz, N., Tóth, T. T., Gyuró, G. V., Nábrádi, T. Z., Sorosi, K. H., Nagy, Z., Rigó, É., Kaposi, A., Gömöri, G., Santoso, C. M. A., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192315935 · Cited by 5
“In addition, there is an association between the length of hospital stay and mortality among patients with CAI [6,27,37].”
BackgroundInfectious Dose and an Aging Population: Susceptibility of the Aged to Foodborne Pathogens
Smith, J. L. (2017) · Springer eBooks · doi:10.1007/978-3-319-56836-2_16 · Cited by 3
Aging-associated dysbiosis increases susceptibility to enteric viral infection in DrosophilaPreprint
Sansone, C. L., Cohen, J. A., Gold, B., Zhu, W., Misic, A. M., Beiting, D. P., Winter, S., & Cherry, S. R. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/156455 · Cited by 3
“Moreover, aging leads to an increase in susceptibility to many enteric viral infections in humans (Jagai et al., 2014).”
BackgroundBenchimol, E. I., Smeeth, L. L., Guttmann, A., Harron, K. L., Moher, D., Petersen, I., Sørensen, H. T., Januel, J., von Elm, E. B., & Langan, S. (2019) · Canadian Medical Association Journal · doi:10.1503/cmaj.181309 · Cited by 2
Bich, V. N. T., Thien, Y. N. H., Truong, H. P. C., Nguyễn, T. K., Pham, P. T. V., & Tran, M. H. (2025) · Natural Product Communications · doi:10.1177/1934578x251342461 · Cited by 1
Predictive Factors of Diarrhea Preventive Practices by Caretakers
Pathak, P., Munsawaengsub, C., & Nanthamongkolchai, S. (2019) · Journal of Nepal Health Research Council · doi:10.33314/jnhrc.v0i0.1876 · Cited by 1
Perfil de morbimortalidade das principais causas de hospitalização entre pessoas idosas no Brasil
da Silva, A. R., Rattes, T. S. R., da Silva, M. F. C., Mota, E. R., Santos, E. M. A. D., Santos, K. O. B., & Ferraz, D. D. (2019) · Revista de Saúde Coletiva da UEFS · doi:10.13102/rscdauefs.v9i0.4717 · Cited by 1
Obute, G., David, E., & Kanmodi, K. K. (2021) · Nigerian Journal of General Practice · doi:10.4103/njgp.njgp_17_20
Wei, L., Li, S. R., Liang, M., Han, Z., Sun, H., & Du, J. (2026) · Archives of Public Health · doi:10.1186/s13690-026-01841-2
“The correspondence between ICD-9 and ICD-10 codes for CRC is well established [12], and prior registry-based studies suggest minimal impact of this transition on long-term incidence trends [13].”
Kumar, D., Shujaat, T., Saif, I., Javeid, A., Haseeb, B., Nabi, R., Kumar, R., & Kumar, K. (2026) · Journal of the National Medical Association · doi:10.1016/j.jnma.2026.03.006
Metadata
- Authors
- Jagai, J. S., Smith, G. S., Schmid, J. E., & Wade, T. J.
- Affiliations
- Environmental Protection Agency (US)
- Corresponding author
- Jagai, Jyotsna S
- Venue
- BMC Gastroenterology
- Published
- 2014-12
- Volume
- 14
- Issue
- 1
- Pages
- 211-211
- ISSN
- 1471-230X (ISSN-L)
- PMC
- PMC4267146
- OpenAlex
- W1985581822
- Cited by
- 25
- References
- 21
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 3 · 2017: 4 · 2016: 1 · 2015: 2
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Gastroenterology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Topics
- Health Sciences › Medicine › Infectious Diseases › Viral gastroenteritis research and epidemiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Epidemiology
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Keywords
- gastroenteritis, mortality trends, ICD-10, ICD-9, age-adjusted mortality rates, older adults, sex differences, racial disparities, public health burden, antibiotic-resistant pathogens, diagnostic advances
- MeSH terms
- Black or African American, Female, Gastroenteritis, Humans, Male, Sex Factors, United States, International Classification of Diseases, Black People, White People
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