| Literature DB >> 27579036 |
Anca Negovan1, Mihaela Iancu2, Valeriu Moldovan1, Septimiu Voidazan1, Simona Bataga1, Monica Pantea1, Kinga Sarkany3, Cristina Tatar1, Simona Mocan3, Claudia Banescu1.
Abstract
Background. Aspirin use for cardiovascular or cancer prevention is limited due to its gastrointestinal side effects. Objective. Our prospective, observational case-control study aims to identify the predictive factors for ulcers in low-dose aspirin consumers (75-325 mg/day). Methods. The study included patients who underwent an upper digestive endoscopy and took low-dose aspirin treatment. Results. We recruited 51 patients with ulcer (ulcer group) and 108 patients with no mucosal lesions (control group). In univariate analysis, factors significantly associated with ulcers were male gender (p = 0.001), anticoagulants (p = 0.029), nonsteroidal anti-inflammatory drugs (p = 0.013), heart failure (p = 0.007), liver (p = 0.011) or cerebrovascular disease (p = 0.004), diabetes mellitus (p = 0.043), ulcer history (p = 0.044), and alcohol consumption (p = 0.018), but not Helicobacter pylori infection (p = 0.2). According to our multivariate regression analysis results, history of peptic ulcer (OR 3.07, 95% CI 1.06-8.86), cotreatment with NSAIDs (OR 8, 95% CI 2.09-30.58) or anticoagulants (OR 4.85, 95% CI 1.33-17.68), male gender (OR 5.2, 95% CI 1.77-15.34), and stroke (OR 7.27, 95% CI 1.40-37.74) remained predictors for ulcer on endoscopy. Conclusions. Concomitant use of NSAIDs or anticoagulants, comorbidities (cerebrovascular disease), and male gender are the most important independent risk factors for ulcer on endoscopy in low-dose aspirin consumers, in a population with a high prevalence of H. pylori infection.Entities:
Year: 2016 PMID: 27579036 PMCID: PMC4992789 DOI: 10.1155/2016/7230626
Source DB: PubMed Journal: Gastroenterol Res Pract ISSN: 1687-6121 Impact factor: 2.260
Figure 1Flowchart regarding patients' selection.
Group differences regarding studied factors in patients treated with low-dose aspirin.
| Variables | Ulcer-group ( | No lesion-group ( |
| OR | 95% CI | ||
|---|---|---|---|---|---|---|---|
| No. | % | No. | % | ||||
| Male gender | 35 | 68.6 | 53 | 49.1 |
| 0.44 | 0.21–0.88 |
| Age > 70 | 20 | 39.2 | 43 | 39.8 | 0.94 | 0.97 | 0.49–1.42 |
| Peptic ulcer history | 26 | 61.9 | 37 | 39.8 |
| 2.45 | 1.16–5.19 |
|
| 25 | 50.0 | 38 | 36.5 | 0.11 | 1.73 | 0.87–3.43 |
| Anticoagulants | 16 | 31.4 | 14 | 13.2 |
| 3.00 | 1.32–6.79 |
| NSAIDs | 12 | 25.0 | 9 | 8.9 |
| 3.40 | 1.32–8.77 |
| Heart failure | 38 | 82.6 | 52 | 60.5 |
| 3.10 | 1.29–7.46 |
| Cerebrovascular disease | 13 | 28.3 | 4 | 4.5 |
| 8.27 | 2.51–27.21 |
| Diabetes mellitus | 21 | 44.7 | 19 | 22.4 |
| 2.80 | 1.30–6.05 |
| Kidney disease | 15 | 32.6 | 13 | 14.8 |
| 2.79 | 1.19–6.54 |
| Liver disease | 27 | 62.8 | 34 | 40.5 |
| 2.48 | 1.16–5.28 |
| Respiratory disease | 12 | 28.6 | 16 | 18.4 | 0.18 | 1.77 | 0.75–4.20 |
| Upper abdominal pain | 19 | 41.3 | 43 | 42.6 | 0.88 | 0.94 | 0.46–1.92 |
| Nausea/vomiting | 9 | 20.5 | 10 | 10.1 | 0.09 | 2.28 | 0.85–6.10 |
| Heartburn | 8 | 18.2 | 23 | 23.0 | 0.51 | 0.74 | 0.30–1.82 |
| Regurgitation | 2 | 4.5 | 7 | 7.0 | 0.09 | 2.28 | 0.85–6.10 |
| Bloating | 14 | 31.8 | 18 | 18.2 | 0.07 | 2.10 | 0.93–4.74 |
| Smokingb | 5 | 13.2 | 7 | 8.1 | 0.51 | 1.71 | 0.50–5.77 |
| Alcohol consumptionc | 15 | 39.5 | 15 | 17.4 |
| 3.08 | 1.31–7.26 |
aObtained from Chi-square or Fisher's exact tests.
bOver 5 cigarettes/day.
cMore than 2 units/day, 1 unit = 10 mL pure alcohol.
OR: odds ratio.
CI: 95% confidence interval.
NSAIDs: nonsteroidal anti-inflammatory drugs.
Results from univariate binary logistic regression.
| Variables | Statistics |
| Crude OR | 95% CI |
|---|---|---|---|---|
| Gender M versus F | 2.29 |
| 4.11 | 1.72–9.85 |
| Age (years) | 0.50 | 0.472 | 1.01 | 0.98–1.05 |
| Age ≥ 70 years | −0.07 | 0.942 | 0.98 | 0.49–1.93 |
| Anticoagulants | 2.64 |
| 3.10 | 1.13–8.55 |
| NSAIDs | 2.54 |
| 3.56 | 1.31–9.68 |
| Heart failure | 2.53 |
| 4.22 | 1.47–12.09 |
| Kidney disease | 2.36 | 0.07 | 2.46 | 0.93–6.53 |
| Respiratory disease | 1.31 | 0.07 | 2.46 | 0.93–6.53 |
| Liver disease | 2.36 |
| 2.97 | 1.28–6.90 |
| Cerebrovascular disease | 3.48 |
| 6.48 | 1.83–22.90 |
| Diabetes mellitus | 2.63 |
| 2.52 | 1.03–6.15 |
|
| 1.58 | 0.202 | 1.71 | 0.75–3.89 |
| Peptic ulcer history | 2.36 |
| 2.34 | 1.02–5.37 |
| Upper abdominal pain | −0.19 | 0.342 | 0.67 | 0.30–1.52 |
| Heartburn | −0.65 | 0.615 | 0.78 | 0.29–2.07 |
| Nausea/vomiting | 1.26 | 0.192 | 1.92 | 0.72–5.12 |
| Bloating | 1.79 | 0.074 | 2.10 | 0.93–4.74 |
| Smokingb | 0.86 | 0.237 | 2.40 | 0.56–10.23 |
| Alcohol consumptionc | 2.58 |
| 3.00 | 1.20–7.48 |
aCrude p values obtained from Wald's test.
Response variable: presence of gastroduodenal ulcer in patients taking LDA.
OR: odds ratio.
CI: 95% confidence interval.
M: male, F: female.
bOver 5 cigarettes/day.
cMore than 2 units/day, 1 unit: 10 mL pure alcohol.
NSAIDs: nonsteroidal anti-inflammatory drugs.
The final multivariable logistic model.
| Variables |
| SE |
| Adjusted OR | 95% CI |
|---|---|---|---|---|---|
| Male gender | 1.65 | 0.55 |
|
|
|
| Anticoagulants | 1.58 | 0.66 |
|
|
|
| NSAIDs | 2.08 | 0.68 |
|
|
|
| Peptic ulcer history | 1.12 | 0.54 |
|
|
|
| Cerebrovascular disease | 1.98 | 0.84 |
|
|
|
| Liver disease | 0.82 | 0.52 | 0.118 |
|
|
| Constant | −3.69 | 0.72 |
| 0.02 | 0.006–0.10 |
aEstimated unstandardized regression coefficients.
SE: standard error.
bWald's test adjusted p value.
NSAIDs: nonsteroidal anti-inflammatory drugs.
Assessment of model performance.
| Performance indices | Final multivariable model |
|---|---|
|
| |
| Brier coefficient | 0,15 |
|
| 0,43 |
| Hosmer-Lemeshow goodness-of-fit test |
|
|
| |
| Likelihood ratio test (full model versus constant model) |
|
| Likelihood ratio test (full model versus reduced model) | Δ |
|
| |
|
| 0,85 (95% CI: 0,79–0,92) |
| Somers' | 0,71 |
| Discrimination slope | 1,00 |
Note. Full model: model with all potential candidates from univariate regression analysis.
Constant model: null model.
Reduced model: final model.