2011
DOI: 10.2105/ajph.2010.300096
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Hospitalization of the Elderly in the United States for Nonspecific Gastrointestinal Diseases: A Search for Etiological Clues

Abstract: The frequency of hospitalization among the elderly in the United States caused by gastrointestinal diseases between 1991 and 2004 increased dramatically, especially hospitalization of elderly individuals with nonspecific diagnoses. We analyzed 6 640 304 gastrointestinal disease-associated hospitalization records in this 14-year period by comparing the peak times of nonspecific gastrointestinal diseases with those of specific diseases. We found that most nonspecific gastrointestinal diseases peak concurrently w… Show more

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Cited by 28 publications
(34 citation statements)
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“…Our study estimated that norovirus was responsible for 17% of all AGE hospital discharges in Europe from 2004 through 2015. These results are in line with the ndings of a large systematic literature review that estimated that norovirus was associated with 18% [95% CI, 17-20] of all diarrheal disease worldwide in any setting, and 17% [95% CI, [15][16][17][18][19] speci cally in in-patient settings [21].…”
Section: Discussionsupporting
confidence: 86%
See 1 more Smart Citation
“…Our study estimated that norovirus was responsible for 17% of all AGE hospital discharges in Europe from 2004 through 2015. These results are in line with the ndings of a large systematic literature review that estimated that norovirus was associated with 18% [95% CI, 17-20] of all diarrheal disease worldwide in any setting, and 17% [95% CI, [15][16][17][18][19] speci cally in in-patient settings [21].…”
Section: Discussionsupporting
confidence: 86%
“…Since norovirus disease is rarely recorded, coded norovirus discharges were not included in the equation. Instead, and as previously applied in other studies [6][7][8][15][16][17], NGE discharges were estimated for each month by calculating the difference between observed cause-unspeci ed and model-predicted counts, i.e. the model residuals r x,t = N_NOS x,t -E(N_NOS x,t ), assuming that any remaining seasonality not otherwise captured in the model was due to norovirus.…”
Section: Statistical Analysis and Modellingmentioning
confidence: 99%
“…This may reduce the magnitude of the hydro-meteorological/diarrhea relationship because microbiological agents interact with weather factors [21]. Compilation of cases with multiple causal agents may also distort the assessment of peak timing [84,85], however a distortion of the assessment of the peak timing does not really affect our conclusion here that the 1 st peak of diarrhea is triggered in the dry season and that the 2 nd peak is triggered in the wet season. Finally, this study was limited in analyzing the sensitivity of some potential confounding factors such as household economic level, vaccination coverage, immune system and dietary habits due to a lack of data on these factors [52].…”
Section: Discussionmentioning
confidence: 99%
“…The significant potential of this data repository for conducting a broad range of investigations in environmental epidemiology at the local and nationwide has been widely demonstrated. In our research, we explored CMS data to describe the effects of drinking water contamination on vulnerable population51, examined the emerging trends5253, seasonal patterns545556, and nationwide spatio-temporal synchronization in hospitalizations due to infectious agents56. This data source also allowed us to estimate immediate direct medical expenses associated with hospitalizations directly related to environmental heat exposure.…”
Section: Discussionmentioning
confidence: 99%