Skip to main content
HHS Author Manuscripts logoLink to HHS Author Manuscripts
. Author manuscript; available in PMC: 2021 May 19.
Published in final edited form as: J Gastrointest Surg. 2019 Dec 16;24(12):2730–2736. doi: 10.1007/s11605-019-04473-w

Upper Gastrointestinal Perforations: A Possible Danger of Antibiotic Overuse

Vijaya T Daniel 1, Stephanie Francalancia 2, Nili S Amir 3, M Didem Ayturk 4, Stacy B Sanders 1, Jonathan R Wisler 5, Courtney E Collins 5, Doyle V Ward 6, Catarina I Kiefe 4, Beth A McCormick 6, Heena P Santry 5
PMCID: PMC8133306  NIHMSID: NIHMS1673485  PMID: 31845145

Abstract

Background

The role of changes in gut microflora on upper gastrointestinal (UGI) perforations is not known. We conducted a retrospective case-control study to examine the relationship between antibiotic exposure—a proxy for microbiome modulation— and UGI perforations in a national sample.

Methods

We queried a 5% random sample of Medicare (2009–2013) to identify patients ≥ 65 years old hospitalized with UGI (stomach or small intestine) perforations using International Classification of Diseases diagnosis codes. Cases with UGI perforations were matched with 4 controls, each based on age and sex. Exposure to outpatient antibiotics (0–30, 31–60, 61–90 days) prior to case patients’ index hospitalization admission data was determined with Part D claims. Univariate and multivariable regression analyses were performed to evaluate the effect of antibiotic exposure on UGI perforation.

Results

Overall, 504 cases and 2016 matched controls were identified. Compared to controls, more cases had antibiotic exposure 0–30 days (19% vs. 3%, p < 0.001) and 31–60 days (5% vs. 2%, p < 0.001) prior to admission. In adjusted analyses, antibiotic exposure 0–30 days prior to admission was associated with 6.8 increased odds of an UGI perforation (95% CI 4.8, 9.8); 31–60 days was associated with 1.9 increased odds (95% CI 1.1, 3.3); and 61–90 days was associated with 3.7 increased odds (95% CI 2.0, 6.9).

Conclusions

Recent outpatient antibiotic use, in particular in the preceding 30 days, is associated with UGI perforation among Medicare beneficiaries. Exposure to antibiotics, one of the most modifiable determinants of the microbiome, should be minimized in the outpatient setting.

Keywords: Perforations, Upper gastrointestinal, Antibiotics

Introduction

In the last decade, there has been tremendous growth in our understanding of the relationship between the trillions of bacteria hosted by humans in their gastrointestinal tracts and disease pathogenesis.1,2 There is mounting evidence that gut microbiota affects disease incidence and outcomes, in particular in surgical disease.36 Various studies have demonstrated that antibiotic exposure reduces microbiome diversity.7,8 Although general implications of alteration of gut microbiota by antimicrobial treatment have been well described,911 the relationship between antibiotic use and acute surgical disease remains to be elucidated.

Not only have alterations in gut microbiota due to antibiotic exposure been shown to be responsible for C. difficile infections,10,12,13 but perturbations of microbial communities promote other pro-inflammatory responses, which may play a role in the pathogenesis of gastrointestinal perforations.14 Upper gastrointestinal (UGI) perforation, a devastating complication of a number of inflammatory conditions, most commonly peptic ulcer disease, is associated with high morbidity and mortality.1518 More than 70% of deaths associated with peptic ulcer disease are due to UGI perforations.16 Older persons are at greatest risk of dying after developing perforated peptic ulcer disease.1921

With the rampant overuse of antibiotics among older adults,22 there is a pressing need to better understand the adverse effects of antibiotics. Older adults use 50% more antibiotics per capita than younger adults; 2325 furthermore, older adults also have the highest risk of poor outcomes from the adverse effects of antibiotics.26 Yet, little is known about the association between antibiotic use and pathogenesis of UGI perforations, one possible adverse effect of antibiotics, in the elderly. The aim of this study is to utilize a national sample of Medicare beneficiaries to examine the association between antibiotic exposure—a proxy for microbiome modulation— and UGI perforations.

Materials and Methods

Data Source

We queried a 5% random sample of Medicare claims, files (MEDPAR) 2009–2013 (N = 1,123,017), to identify patients ≥ 65 years old with UGI perforations (stomach or small intestine) using International Classification of Diseases diagnosis codes (Appendix 1 Table 3). All patients were greater than or equal to 65 years on January 1, 2009 and had 12 months of continuous Part D enrollment. Medicare denominator files provide beneficiary demographic data (age, sex, race). Medicare Provider and Analysis Review (MEDPAR) provides data on Part A inpatient claims (diagnosis and procedures). Inpatient claims, outpatient claims, and chronic conditions files were used to calculate each Elixhauser comorbidity index.27 Part D outpatient prescription drug claims provided data on type of outpatient medication, formulation, dosage, strength, date of prescription, and date of prescription filled.

Case Identification and Control Group

For cases, inclusion criteria included emergent or urgent admission. Exclusion criteria included any skilled nursing facility or previous hospitalization in the last 90 days. For cases, patients with an UGI (stomach or small intestine) perforation were defined as any hospital admission with a primary diagnosis of UGI perforation documented in MEDPAR. For controls, we randomly selected four controls without UGI perforation for each case and matched on sex and age.

Determination of Exposure to Outpatient Oral Antibiotics

Using Part D claims, we classified previous antibiotic exposure, a proxy for microbiome modulation, as having received oral antibiotics within 30 days, 31–60 days, and 61–90 days prior to the data of the case’s admission for UGI perforation. Time frame of antibiotic exposure was based on the last date of antibiotic available to the patient based on date of dispensation, directions for medication usage, and total number of doses dispensed. Topical and ophthalmic antimicrobials were excluded due to the lack of systemic bioavailability. Antibiotic exposure was further classified into drug classes. If more than one oral antibiotic was prescribed, the date of exposure was determined by the antibiotic that was most recently consumed by the patient. For all cases, a priori adherence to prescribed antibiotic was assumed.

Statistical Analysis

Categorical data are presented as percentage frequencies, with continuous data presented as mean values ± standard deviation. Categorical data were analyzed using Rao-Scott chisquare test. Continuous data were analyzed using analysis of variance. The Elixhauser comorbidity software was used, as previously described, for univariate and multivariable analyses.27 A multivariable logistic regression model was constructed for the primary outcome, UGI perforation. Previous antibiotic use (0–30 days, 31–60 days, 61–90 days) was the variable of interest. The model was adjusted for race, Elixhauser index, current proton pump inhibitor use, current nonsteroidal anti-inflammatory drug use, and current or recent history (within 3 months) of steroid use. Statistical significance was defined as p < 0.05. All statistical analyses were performed using SAS 9.4 statistical software (SAS Institute, Cary, NC). All data were de-identified by the originator prior to our acquisition. This study was deemed exempt by the University of Massachusetts Medical School Institutional Review Board and was approved by the Centers for Medicare and Medicaid Services via the Research Data Assistance Center.

Results

Overall, 504 cases were identified and matched with 2016 age- and sex- matched controls. The majority of the cases were elderly females who were non-Hispanic whites (Table 1). In addition, the majority of cases and controls did not have significant comorbidities (Elixhauser score = 0: Cases 68% vs. Controls 78%, p < 0.001). Compared to controls, cases had a higher use of proton pump inhibitors (PPI), nonsteroidal anti-inflammatory drugs (NSAID), and steroids.

Table 1.

Baseline characteristics and antibiotic exposure of cases and controls

Upper gastrointestinal perforations (N = 504) Controls (N = 2016) p value
Female 340 (67.5) 1360 (67.5) Matched
Age (years) Matched
 65–74 160 (31.7) 640 (31.7)
 74–85 165 (32.7) 660 (32.7)
 85–94 164 (32.5) 656 (32.5)
 > 95 15 (3) 60 (3)
Race/ethnicity 0.002
 Non-Hispanic white 444 (88.1) 1633 (81)
 Non-Hispanic black 33 (6.5) 200 (9.9)
 Hispanic 9 (1.8) 54 (2.7)
 Other 18 (3.6) 129 (6.4)
Average Elixhauser score (SD) 1.86 (3.06) 1.18 (2.52) < 0.001
Elixhauser score < 0.001
Elixhauser index = 0 343 (68.1) 1564 (77.6)
 Elixhauser index = 1 2 (0.4) 19 (0.9)
 Elixhauser index = 2 12 (2.4) 48 (2.4)
 Elixhauser index ≥ 3 147 (29.2) 385 (19.1)
Comorbidities
 Rheumatoid arthritis/collagen vascular 281 (55.8) 775 (38.4) < 0.001
 Diabetes with and without chronic complications 157 (31.2) 550 (27.3) 0.08
 Hypertension 126 (25) 365 (18.1) < 0.001
 Renal failure 120 (23.8) 264 (13.1) < 0.001
 Depression 125 (24.8) 300 (14.9) < 0.001
 Hypothyroidism 90 (17.9) 366 (18.2) 0.87
 Solid tumor without metastasis 11 (2.2) 14 (0.7) 0.01
 Deficiency anemia 39 (7.7) 128 (6.3) 0.26
 Current proton pump inhibitor use 46 (9.1) 96 (4.8) < 0.001
 Current nonsteroidal anti-inflammatory drug use 49 (9.7) 17 (0.8) < 0.001
 Current or recent history (within 3 months) of steroid use 38 (7.5) 30 (1.5) < 0.001
Antibiotic exposure prior to admission
 0–30 days 96 (19.0) 59 (2.9) < 0.001
 31–60 days 24 (4.7) 48 (2.4) < 0.001
 61–90 days 22 (4.4) 25 (1.2) 0.45
 No antibiotic use (0–90 days prior to admission) 362 (71.8) 1884 (93.4) < 0.001

In addition, compared to controls, cases had a greater number of comorbidities using the Elixhauser index. Overall, 274 used antibiotics. Among all antibiotic users, 57% had antibiotic exposure 0–30 days prior to admission, 26% had antibiotic exposure 31–60 days prior to admission, and 17% had antibiotic exposure 61–90 days prior to admission. Compared to controls, more cases had antibiotic exposure 0–30 days (19% vs. 3%, p < 0.001) and 31–60 days (5% vs. 2%, p < 0.001) prior to admission. There was no significant difference between the number of cases and controls with antibiotic exposure 61–90 days prior to admission. Fewer cases had no antibiotic use 90 days prior to admission compared to controls (72% vs. 93%, p < 0.001).

In adjusted analyses, antibiotic exposure 0–30 days prior to admission was associated with 6.8 increased odds of developing an UGI perforation (Fig. 1); antibiotic exposure 31–60 days prior to admission was associated with 1.9 increased odds of developing an UGI perforation; and antibiotic exposure 61–90 days prior to admission was associated with 3.7 increased odds of developing an UGI perforation. Table 2 shows differences in UGI perforation based on antibiotic class. In sub-analyses, to determine the association between class of antibiotics and UGI perforation, we found no differences in any time period of antibiotic exposure. (Supplemental Figs. 1, 2, 3).

Fig. 1.

Fig. 1

Odds of upper gastrointestinal perforations based on timing of outpatient antibiotic exposure (0–90 days prior to admission)

Table 2.

Specific antibiotics/antibiotic classes used among cases and controls between 0–90 days prior to admission

0–30 days (N = 155 ) 31–60 Days (N = 72) 61–90 Days (N = 47 )
UGI perforations Controls p value UGI perforations Controls p value UGI perforations Controls p value
Any antibiotic use 96 (61.9) 59 (38.1) < 0.001 24 (33.3) 48 (66.7) < 0.001 22 (46.8) 25 (53.2) 0.45
Cephalosporins 16 (16.7) 8 (13.6) 0.60 7 (29.2) 11 (22.9) 0.56 7 (31.8) 1 (4) 0.02
Fluoroquinolones 29 (30.2) 15 (25.4) 0.52 7 (29.2) 10 (20.8) 0.44 2 (9.1) 4 (16) 0.67
Penicillins 13 (13.5) 14 (23.7) 0.10 2 (8.3) 10 (20.8) 0.31 5 (22.7) 4 (16) 0.71
Macrolides 13 (13.5) 19 (32.2) 0.005 3 (12.5) 8 (16.7) 0.74 5 (22.7) 9 (36) 0.32
Clindamycin 4 (4.2) 4 (6.8) 0.48 1 (4.2) 1 (2.1) 0.99 1 (4.5) 0 (0) 0.47
Bactrim 29 (30.2) 6 (10.2) 0.003 1 (4.2) 6 (12.5) 0.41 3 (13.6) 3 (12) 1.0
Tetracyclines 5 (5.2) 0 0.07 2 (8.3) 6 (12.5) 0.71 1 (4.5) 3 (12) 0.61
Other antibiotics 9 (9.4) 3 (5.1) 0.54 2 (8.3) 4 (8.3) 1.0 1 (4.5) 2 (8) 1.0

Discussion

Although antibiotics have revolutionized medical treatment since the twentieth century, there is abundant evidence of widespread overuse of antibiotics, in particular in the outpatient setting for non-microbial disease such as upper respiratory viral infections.24,25 Meanwhile, despite the rise in medical management of peptic ulcer disease, the rates of hospitalization and emergency surgery for perforated peptic ulcer disease are increasing.17,28,29 We hypothesized that perturbations in gut microbiota due to antibiotic exposure might result in a pro-perforation milieu. We found that exposure to outpatient antibiotics across all time frames was associated with increased odds of UGI perforation, with the most recent exposure to antibiotics (0–30 days prior to admission) associated with the greatest increase.

A number of studies have shed light on the pervasive alteration of taxonomic, genomic, and functional capacity of the human gut microbiota by antibiotics.7,30 It is not fully understood if these effects of antibiotics are rapid or persistent. As few as 3 days of antibiotic treatment can result in sustained reduction in microbiota diversity.31 Although the short-term antibiotic effects of perturbation of a microbial community are better characterized, long-term consequences of antibiotic effects on human microbiota are less widely known.7,32 Data show that repopulating the microbiome may occur in days to weeks; however, the perturbation of a microbial community may also last for years before return to pre-antibiotic treatment community.3336 In the present study, we found that the most recent antibiotic use (0–30 days) was associated with the greatest increased risk of UGI perforation, which is consistent with the possible explanation that the perturbations of the gut microbial community have not yet recovered from the recent antibiotic use. Interestingly, antibiotic use (31–60 days) was also associated with increased, although attenuated, odds of development of UGI perforation compared to use between 61 and 90 days. While it seems surprising that the relationship is non-linear as time since antibiotic exposure decreases, this may be due to unmeasured clinical variables within our administrative dataset. Nevertheless, our results show that antibiotics at any time in the previous 90 days increase the risk of perforation compared to no exposure.

Given that our study demonstrates an association, we can speculate a biologically plausible rationale for the relationship between antibiotic use and gastrointestinal perforations similar to cigarette smoking and gastrointestinal perforations through reactive oxygen species production. Excessive dosing of antibiotics leads to the loss of naturally occurring intestinal microbiota.37 Imbalance of the intestinal microbiota induces intestinal inflammatory responses through the increase in reactive nitrogen species and reactive oxygen species.37 It is known that cigarette smoking is a major risk factor for the development of ulcers. The mechanisms of smoking in inflammatory diseases such as ulcers includes alteration of mucosal cell proliferation, change of blood flow in the inflammatory site, the increase of viral or bacterial infection, and the dysfunction of the immune system in the gastrointestinal mucosa.38 Specifically, smoking induces apoptosis in the mucosa of the gastrointestinal tract, and this apoptosis is mediated through reactive oxygen species. Therefore, we speculate that antibiotics may lead to the imbalance of intestinal microbiota, which subsequently may induce apoptosis in the mucosa via reactive oxygen species which may play a role in ulcerogenesis, similar to cigarette smoke.

To our knowledge, there is only one other study examining the association between antibiotic use and UGI perforations. This study from Hsu et al. 39 conducted a case-control study using a national health insurance database in Taiwan. The researchers found that fluoroquinolone use (0–60 days prior to admission) was associated with a twofold increased risk of development of gastric perforations after controlling for age and gender, possibly via a mechanism of collagen degradation;39 however, there was no association of fluoroquinolones use with the development of small or large intestine perforation after controlling for patient characteristics. Given the increased global consumption of fluoroquinolones from 4.75 billion doses to 7.81 billion doses from 2000 to 2010,40 this finding is concerning. In our study, fluoroquinolones were not associated with UGI perforations (Supplemental Figs. 1, 2, 3). One explanation for our discrepant findings compared to Hsu et al. 39 may be the small number of cases and controls using fluoroquinolones in the present study, or more endemic nature of peptic ulcer disease and H. pylori infection in Taiwan. Furthermore, given the differences in anatomy, microbial community, and indications for perforations, we would argue that combining small or large intestine perforations into one category may create inaccurate results.

The strength of the study is not only the large sample size among a national sample of Medicare beneficiaries but also the detailed classification of antibiotic use using the Part D Medicare claims data. However, similar to other pharmacoepidemiology studies, this study is subject to limitations. First, this study is limited by the assumption that each subject adhered to the prescribed antibiotic. Second, although we controlled for many risk factors for the development of gastrointestinal perforations, unmeasured confounders, such as alcohol use and tobacco use, may exist given this is an administrative claims database. Since we matched on age and sex and controlled for baseline health, using a comorbidity index as well as use of certain medications, we have attempted to equalize the groups and account for variables that may have confounded the relationship between antibiotic use and perforations. Third, we did not measure the dose-response of antibiotics nor any other medications. Fourth, although we controlled for prescription medications that could be associated with gastrointestinal perforations, over-the-counter proton pump inhibitors and nonsteroidal anti-inflammatory drugs are not accounted for. However, due to our matching algorithm, we suspect that these factors may be distributed between the groups. In addition, given known demographic characteristics of those who utilize Medicare Part D for prescription drug benefit,41 our findings might not be generalizable to all Medicare beneficiaries or older Americans who do not use Medicare.

Many of the adverse effects, such as ototoxicity and Stevens-Johnson syndrome, of antibiotics are well known;42 however, to our knowledge, we are the first study to examine the link between antibiotic use and UGI perforations in the USA. A possible explanation of the relationship may be related to perturbation of the gut microbial community by antibiotics, although further research is needed.

Conclusion

Recent outpatient antibiotic use is associated with an increased odds of an UGI perforation, with the most recent antibiotic use associated with the greatest odds. Exposure to antibiotics, one of the most modifiable determinants of microbiome, should be minimized in the outpatient setting and only prescribed when warranted. Minimizing exposure to antibiotics may ultimately reduce the morbidity and mortality of UGI perforations by reducing disease incidence.

Supplementary Material

Figure 2
Appendix 1. Table 3

Acknowledgments

Funding This research is supported by a training grant from the National Institutes of Health (NIH-TL1-TR001454 (VTD)) and a research grant from the Agency for Healthcare Research Quality (R01 HS022694-01A1 (HPS)). The content represents the thoughts and opinions of the authors and not the funding agency.

Footnotes

Conflicts of Interest HPS is a paid consultant to the Johnson & Johnson Company to serve on a Fragility Fracture Advisory Board. VTD, SF, NSA, DA, SBS, JRW, CEC, DVW, CIK, BAM have no conflicts of interest to declare.

Compliance with Ethical Standards

Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11605-019-04473-w) contains supplementary material, which is available to authorized users.

References

  • 1.Cenit MC, Matzaraki V, Tigchelaar EF, Zhernakova A. Rapidly expanding knowledge on the role of the gut microbiome in health and disease. Biochim. Biophys. Acta. 2014;1842(10): 1981–1992. [DOI] [PubMed] [Google Scholar]
  • 2.Rajpal DK, Brown JR. Modulating the human gut microbiome as an emerging therapeutic paradigm. Sci. Prog. 2013;96(Pt 3):224–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Long J, Zaborina O, Holbrook C, Zaborin A, Alverdy J. Depletion of intestinal phosphate after operative injury activates the virulence of P aeruginosa causing lethal gut-derived sepsis. Surgery. 2008;144(2):189–197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Alverdy J, Holbrook C, Rocha F, et al. Gut-derived sepsis occurs when the right pathogen with the right virulence genes meets the right host: evidence for in vivo virulence expression in Pseudomonas aeruginosa. Ann. Surg. 2000;232(4):480–489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wu LR, Zaborina O, Zaborin A, et al. Surgical injury and metabolic stress enhance the virulence of the human opportunistic pathogen Pseudomonas aeruginosa. Surg. Infect. (Larchmt.). 2005;6(2):185–195. [DOI] [PubMed] [Google Scholar]
  • 6.Seal JB, Alverdy JC, Zaborina O, An G. Agent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut: Towards characterizing host-pathogen interactions in gut-derived sepsis. Theor. Biol. Med. Model. 2011;8:33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Dethlefsen L, Huse S, Sogin ML, Relman DA. The pervasive effects of an antibiotic on the human gut microbiota, as revealed by deep 16S rRNA sequencing. PLoS Biol. 2008;6(11):e280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Zhao J, Murray S, Lipuma JJ. Modeling the impact of antibiotic exposure on human microbiota. Sci. Rep. 2014;4:4345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Konig J, Brummer RJ. Alteration of the intestinal microbiota as a cause of and a potential therapeutic option in irritable bowel syndrome. Beneficial microbes. 2014;5(3):247–261. [DOI] [PubMed] [Google Scholar]
  • 10.Theriot CM, Young VB. Interactions Between the Gastrointestinal Microbiome and Clostridium difficile. Annu. Rev. Microbiol. 2015;69:445–461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Perez-Cobas AE, Artacho A, Knecht H, et al. Differential effects of antibiotic therapy on the structure and function of human gut microbiota. PLoS One. 2013;8(11):e80201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Rea MC, Dobson A, O’Sullivan O, et al. Effect of broad- and narrow-spectrum antimicrobials on Clostridium difficile and microbial diversity in a model of the distal colon. Proc. Natl. Acad. Sci. U. S. A. 2011;108 Suppl 1:4639–4644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Collins CE, Ayturk MD, Flahive JM, Emhoff TA, Anderson FA Jr., Santry HP. Epidemiology and outcomes of community-acquired Clostridium difficile infections in Medicare beneficiaries. J. Am. Coll. Surg. 2014;218(6):1141–1147.e1141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Knoop KA, McDonald KG, Kulkarni DH, Newberry RD. Antibiotics promote inflammation through the translocation of native commensal colonic bacteria. Gut. 2016;65(7):1100–1109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Byrge N, Barton RG, Enniss TM, Nirula R. Laparoscopic versus open repair of perforated gastroduodenal ulcer: a National Surgical Quality Improvement Program analysis. Am. J. Surg. 2013;206(6): 957–962; discussion 962–953. [DOI] [PubMed] [Google Scholar]
  • 16.Bertleff MJ, Lange JF. Perforated peptic ulcer disease: a review of history and treatment. Dig. Surg. 2010;27(3):161–169. [DOI] [PubMed] [Google Scholar]
  • 17.Wang YR, Richter JE, Dempsey DT. Trends and outcomes of hospitalizations for peptic ulcer disease in the United States, 1993 to 2006. Ann. Surg. 2010;251(1):51–58. [DOI] [PubMed] [Google Scholar]
  • 18.Imhof M, Epstein S, Ohmann C, Roher HD. Duration of survival after peptic ulcer perforation. World J. Surg. 2008;32(3):408–412. [DOI] [PubMed] [Google Scholar]
  • 19.Feliciano DV, Bitondo CG, Burch JM, Mattox KL, Jordan GL Jr., DeBakey ME. Emergency management of perforated peptic ulcers in the elderly patient. Am. J. Surg. 1984;148(6):764–767. [DOI] [PubMed] [Google Scholar]
  • 20.Koo J, Ngan YK, Lam SK. Trends in hospital admission, perforation and mortality of peptic ulcer in Hong Kong from 1970 to 1980. Gastroenterology. 1983;84(6):1558–1562. [PubMed] [Google Scholar]
  • 21.Daniel VT, Wiseman JT, Flahive J, Santry HP. Predictors of mortality in the elderly after open repair for perforated peptic ulcer disease. J. Surg. Res. 2017;215:108–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.McElligott M, Welham G, Pop-Vicas A, Taylor L, Crnich CJ. Antibiotic Stewardship in Nursing Facilities. Infect. Dis. Clin. North Am. 2017;31(4):619–638. [DOI] [PubMed] [Google Scholar]
  • 23.Hicks LA, Bartoces MG, Roberts RM, et al. US outpatient antibiotic prescribing variation according to geography, patient population, and provider specialty in 2011. Clin. Infect. Dis. 2015;60(9):1308–1316. [DOI] [PubMed] [Google Scholar]
  • 24.Arizpe A, Reveles KR, Aitken SL. Regional variation in antibiotic prescribing among medicare part D enrollees, 2013. BMC Infect. Dis. 2016;16(1):744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Zhang Y, Steinman MA, Kaplan CM. Geographic variation in outpatient antibiotic prescribing among older adults. Arch. Intern. Med. 2012;172(19):1465–1471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lessa FC, Mu Y, Bamberg WM, et al. Burden of Clostridium difficile infection in the United States. N. Engl. J. Med. 2015;372(9): 825–834. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med. Care. 1998;36(1):8–27. [DOI] [PubMed] [Google Scholar]
  • 28.Sarosi GA Jr., Jaiswal KR, Nwariaku FE, Asolati M, Fleming JB, Anthony T. Surgical therapy of peptic ulcers in the 21st century: more common than you think. Am. J. Surg. 2005;190(5):775–779. [DOI] [PubMed] [Google Scholar]
  • 29.Paimela H, Oksala NK, Kivilaakso E. Surgery for peptic ulcer today. A study on the incidence, methods and mortality in surgery for peptic ulcer in Finland between 1987 and 1999. Dig Surg. 2004;21(3):185–191. [DOI] [PubMed] [Google Scholar]
  • 30.Modi SR, Collins JJ, Relman DA. Antibiotics and the gut microbiota. J. Clin. Invest. 2014;124(10):4212–4218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Abeles SR, Jones MB, Santiago-Rodriguez TM, et al. Microbial diversity in individuals and their household contacts following typical antibiotic courses. Microbiome. 2016;4(1):39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Panda S, El khader I, Casellas F, et al. Short-term effect of antibiotics on human gut microbiota. PLoS One. 2014;9(4):e95476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Jernberg C, Lofmark S, Edlund C, Jansson JK. Long-term ecological impacts of antibiotic administration on the human intestinal microbiota. The ISME journal. 2007;1(1):56–66. [DOI] [PubMed] [Google Scholar]
  • 34.Lode H, Von der Hoh N, Ziege S, Borner K, Nord CE. Ecological effects of linezolid versus amoxicillin/clavulanic acid on the normal intestinal microflora. Scand. J. Infect. Dis. 2001;33(12):899–903. [DOI] [PubMed] [Google Scholar]
  • 35.Mangin I, Leveque C, Magne F, Suau A, Pochart P. Long-term changes in human colonic Bifidobacterium populations induced by a 5-day oral amoxicillin-clavulanic acid treatment. PLoS One. 2012;7(11):e50257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sjolund M, Tano E, Blaser MJ, Andersson DI, Engstrand L. Persistence of resistant Staphylococcus epidermidis after single course of clarithromycin. Emerg. Infect. Dis. 2005;11(9):1389–1393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Yoon MY, Yoon SS. Disruption of the Gut Ecosystem by Antibiotics. Yonsei Med. J. 2018;59(1):4–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Li LF, Chan RLY, Lu L, Shen J, Zhang L, Wu WKK, et al. Cigarette Smoking and Gastrointestinal Diseases: The Causal Relationship and Underlying Molecular Mechanisms. Int. J. Mol. Med. 2014;34(2):373–380. [DOI] [PubMed] [Google Scholar]
  • 39.Hsu SC, Chang SS, Lee MG, et al. Risk of gastrointestinal perforation in patients taking oral fluoroquinolone therapy: An analysis of nationally representative cohort. PLoS One. 2017;12(9): e0183813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Van Boeckel TP, Gandra S, Ashok A, et al. Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data. Lancet Infect. Dis. 2014;14(8):742–750. [DOI] [PubMed] [Google Scholar]
  • 41.Eapen ZJ, Hammill BG, Setoguchi S, et al. Who enrolls in the Medicare Part D prescription drug benefit program? Medication use among patients with heart failure. Journal of the American Heart Association. 2013;2(5):e000242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Cunha BA. Antibiotic side effects. Med. Clin. North Am. 2001;85(1):149–185. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure 2
Appendix 1. Table 3

RESOURCES