Published online Dec 28, 2016. doi: 10.3748/wjg.v22.i48.10643
Peer-review started: August 5, 2016
First decision: September 12, 2016
Revised: October 13, 2016
Accepted: October 30, 2016
Article in press: October 31, 2016
Published online: December 28, 2016
Processing time: 144 Days and 8.4 Hours
To assess the prevalence of possible risk factors of upper gastrointestinal bleeding (UGIB) and their age-group specific trend among the general population and osteoarthritis patients.
We utilized data from the National Health Insurance Service that included claims data and results of the national health check-up program. Comorbid conditions (peptic ulcer, diabetes, liver disease, chronic renal failure, and gastroesophageal reflux disease), concomitant drugs (aspirin, clopidogrel, cilostazol, non-steroidal anti-inflammatory drugs, steroid, anticoagulants, and SSRI), personal habits (smoking, and alcohol consumption) were considered as possible UGIB risk factors. We randomly imputed the prevalence of infection in the data considering the age-specific prevalence of Helicobacter pylori (H. pylori) infection in Korea. The prevalence of various UGIB risk factors and the age-group specific trend of the prevalence were identified. Prevalence was compared between osteoarthritis patients and others.
A total of 801926 subjects (93855 osteoarthritis patients) aged 20 and above were included. The prevalence of individual and concurrent multiple risk factors became higher as the age increased. The prevalence of each comorbid condition and concomitant drug were higher in osteoarthritis patients. Thirty-five point zero two percent of the overall population and 68.50% of osteoarthritis patients had at least one or more risk factors of UGIB. The prevalence of individual and concurrent multiple risk factors in younger age groups were also substantial. Furthermore, when personal habits (smoking, and alcohol consumption) and H. pylori infection were included, the prevalence of concurrent multiple risk factors increased greatly even in younger age groups.
Prevalence of UGIB risk factors was high in elderly population, but was also considerable in younger population. Patient with osteoarthritis was at higher UGIB risk than those without osteoarthritis. Physicians should consider individualized risk assessment regardless of age when prescribing drugs or performing procedures that may increase the risk of UGIB, and take necessary measures to reduce modifiable risk factors such as H. pylori eradication or lifestyle counseling.
Core tip: This study identified the prevalence of various upper gastrointestinal bleeding (UGIB) risk factors and the age-group specific trend of the prevalence in general population and osteoarthritis patients using large population representative data. Considering the age-group specific trend of the prevalence of UGIB risk factors, physicians should consider individualized risk assessment regardless of age when prescribing drugs or performing procedures that predispose to UGIB. Additionally, subjects with high risk should control modifiable UGIB risk factors.
- Citation: Kim SH, Yun JM, Chang CB, Piao H, Yu SJ, Shin DW. Prevalence of upper gastrointestinal bleeding risk factors among the general population and osteoarthritis patients. World J Gastroenterol 2016; 22(48): 10643-10652
- URL: https://www.wjgnet.com/1007-9327/full/v22/i48/10643.htm
- DOI: https://dx.doi.org/10.3748/wjg.v22.i48.10643
Despite advances in medical science, upper gastrointestinal bleeding (UGIB) is still a high risk condition with high morbidity and mortality[1]. Rotondano et al[2] reported that the overall mortality rate of UGIB was approximately 5%. Although its incidence is decreasing worldwide, a substantial amount of patients are still suffering from UGIB[3]. In the United States, the incidence of UGIB was approximately 60.6 per 100000 in 2009[4]. Furthermore, the proportion of aspirin- or non-steroidal anti-inflammatory drugs (NSAIDs)-related UGIB is also increasing[5]. This has led to incurrence of substantial costs[6].
The high mortality and economic burden of UGIB have raised concerns regarding risk factors for the disease. In general, UGIB occurs more frequently in the male sex and advancing age[7,8]. Additionally, many underlying diseases, drugs, and unhealthy lifestyle (e.g., smoking) are proven risk factors of UGIB[3,8-27]. Also, the increasing trend of NSAIDS-induced UGIB has also led to research focusing on arthritis patients, who are potential long-term consumers of these predisposing drugs[28-31].
While several studies have identified significant risk factors of UGIB, many focused on assessing the relative risks of each factor in a specific population group only, not the general population. To the best of our knowledge, to date, no large general-population-based studies have investigated the epidemiology of UGIB risk factors.
In this study, we assessed the prevalence of possible risk factors of UGIB and their age-group specific trend among the general population, and compared the prevalence between patients with osteoarthritis and others.
This study utilized data from the National Health Insurance Service (NHIS) (NHIS-2015-2-099), compiled by the NHIS. The National Health Insurance in South Korea covers approximately 98% of the population, ensuring generalization of data[32]. The original claims data included 90% of the population in South Korea. Using a randomized stratified sampling method, the NHIS provided 2% samples of cohorts of the claims data from 2002 to 2013. Detailed explanation of the data structure is provided elsewhere[33]. To investigate recent epidemiology, we used the claims data of outpatient visits in 2013. In addition, to take into account subjects’ personal habits, we used results from the national health check-up program cohorts in 2013, which included lifestyle and medical information, as well as biochemical markers. NHIS provides both claims data and results of national health check-up programs through an online review system (https://nhiss.nhis.or.kr/bd/ab/bdaba000eng.do).
This study was approved by the institutional review board of Seoul National University Hospital (IRB No. E-1508-002-689).
From a literature review of previous studies, we identified the possible risk factors of UGIB. We subdivided risk factors into 3 categories: (1) comorbid conditions; (2) concomitant drugs; and (3) personal habit. Comorbid conditions included peptic ulcer[8,10,16], diabetes mellitus[15], liver disease[14], chronic renal failure[3,17,18], and gastroesophageal reflux disease (GERD)[3]. Concomitant drugs included oral aspirin[3,8,11,15,21], other antiplatelet agents including cilostazol and clopidogrel[3,11], NSAIDs[3,8,10,11,16,29], steroids[3,19], anticoagulants including warfarin, rivaroxaban, dabigatran, and apixaban[3,10,11], and selective serotonin reuptake inhibitors[3,23,24]. As selective cyclooxygenase (COX)-2 inhibitors had been prescribed to reduce the gastrointestinal complications, these drugs were not included as concomitant drugs[31,34,35]. Personal habits included smoking[8,10,11], and alcohol consumption[8,10,11].
Helicobacter pylori (H. pylori) infection was also considered as a possible independent risk factor[3,8,10,13,16].
We defined cases of comorbid conditions based on the ICD-10 codes: “K25.X”, “K26.X”, “K27.X”, and “K28.X” for peptic ulcer; “E08.X”, “E09.X”, “E10.X”, “E11.X”, “E12.X”, “E13.X”, and “E14.X” for diabetes; “K70.X”, “K71.X”, “K72.X”, “K73.X”, “K74.X”, “K75.X”, “K76.X”, and “K77.X” for liver disease; “N18.X” for chronic renal failure; “K21.X”, and “K221” for GERD. Cases of comorbid conditions were defined if any of the above-mentioned relevant ICD-10 codes was the main diagnosis (for which the patient primarily presented with), or the first additional diagnosis (that the patient was already being treated for or was diagnosed at the same visit as the main diagnosis). Subjects with “M15.X” to “M19.X” ICD-10 codes as the main or the first additional diagnosis were defined as patients with osteoarthritis.
Although short-term use of some drugs could increase the risk of UGIB[36], we aimed to identify longer-term users of predisposing drugs, especially those with the potential to consume these drugs for life. Therefore, we only included subjects who had been prescribed drugs for at least 60 d as cases of concomitant drug users.
Smoking was subdivided into 2 categories: (1) non- or former smoker; and (2) current smoker. Problematic alcohol consumption was defined as follows: men who drink more than 4 standard drinks a day or 14 standard drinks a week; women who drink more than 3 standard drinks a day or 7 standard drinks a week; and subjects aged 65 or more who drink more than 1 standard drink a day or 7 standard drinks a week. One standard drink contains approximately 14 g of alcohol[37].
Subjects aged 20 and above were included in our analysis. First, we calculated the prevalence of each risk factor within the general population and it was compared between osteoarthritis patients and others. To identify subjects with concurrent multiple risk factors, we categorized subjects into 3 categories: (1) those with 1 or more risk factors; (2) those with 2 or more risk factors; and (3) those with 3 or more risk factors or more. As patients with osteoarthritis potentially consume NSAIDs[31], we additionally calculated the prevalence after excluding NSAIDs as a concomitant drug for osteoarthritis patients. Additionally, age-group specific prevalence of individual and concurrent multiple risk factors were calculated. Since the data did not provide information about H. pylori infection, we formulated a statistical method to consider this infection. Considering the age-specific prevalence of H. pylori infection in Korea from a representative large cohort study, we randomly imputed the prevalence of infection in the data[38]. The reported prevalence of H. pylori infection was 26.4, 42.1, 52.6, 61.4, 61.6, and 58.6 % for subjects in their 20 s, 30 s, 40 s, 50 s, 60 s, and 70 s (or more), respectively. Following random imputation, prevalence of concurrent multiple risk factors were calculated.
As mentioned above, we included personal habits as risk factors of UGIB. However, information regarding subjects’ personal habits was only available in those who participated in the national health check-up program in 2013. Subgroup analysis was performed to take into account the lifestyle factors in these subjects.
To address the possible differences of the definition of concomitant drug user, sensitivity analysis was performed. Subjects who have been prescribed the drugs for at least 30 d were considered as cases of concomitant drug users.
All statistical analyses were conducted using the STATA software version 14.0 (StataCorp., TX).
A total of 801926 subjects from the general population aged 20 or more (93855 were patients with osteoarthritis) were included in the analysis. Out of this, 233879 subjects participated in the national health check-up program in 2013. The age- and sex-specific distributions of the study population are provided in online only supplementary Table 1.
Table 1 shows the overall prevalence of individual and concurrent multiple risk factors. GERD was the most frequent comorbid condition associated with UGIB in the overall population, subjects without osteoarthritis, and patients with osteoarthritis (14.10%, 12.67%, and 26.60%, respectively). Although aspirin was the most frequently used predisposing drug in the overall population (6.63%), NSAIDs had the highest prevalence in osteoarthritis patients (28.42%). The prevalence of each comorbid condition and concomitant drug usage were also higher in these patients compared to the general population. We found that 35.02% of the overall population and 68.50% of osteoarthritis patients had at least one or more risk factors of UGIB. More than 16% of subjects with osteoarthritis had 3 or more concurrent risk factors. Even when NSAIDs were excluded for prevalence calculation of concurrent multiple risk factors, the prevalence of osteoarthritis patients with at least one or more risk factors decreased by only 8%. When H. pylori infection was considered, the prevalence of concurrent multiple risk factors increased approximately 2-fold in the overall population. The increase in the prevalence of osteoarthritis patients was also substantial. All P values for each risk factor from the chi square test between subjects without osteoarthritis and osteoarthritis patients were below 0.001.
| Overall Population (n = 801926 ) | Without Osteoarthritis (n = 708107) | Osteoarthritis Patients (n = 93855) | |
| Comorbid conditions | |||
| Peptic ulcer | 9.15% | 7.85% | 19.00% |
| Diabetes | 8.33% | 7.04% | 18.12% |
| Chronic liver disease | 5.76% | 5.28% | 9.32% |
| Chronic renal failure | 0.49% | 0.44% | 0.83% |
| Gastroesophageal reflux disease | 14.30% | 12.67% | 26.60% |
| Concomitant drugs1 | |||
| Aspirin | 6.63% | 5.41% | 15.86% |
| Clopidogrel | 1.78% | 1.43% | 4.44% |
| Cilostazol | 0.66% | 0.51% | 1.76% |
| NSAIDs | 5.99% | 3.02% | 28.42% |
| Steroid | 1.28% | 0.93% | 3.94% |
| Anticoagulants2 | 0.18% | 0.16% | 0.36% |
| SSRI | 0.44% | 0.37% | 1.00% |
| No. of risk factors | |||
| ≥ 1 | 35.02% | 30.58% | 68.50% |
| ≥ 2 | 13.87% | 10.66% | 38.04% |
| ≥ 3 | 4.52% | 2.97% | 16.25% |
| No. of risk factors | |||
| (Excluding concomitant NSAIDs Use) | |||
| ≥ 1 | 33.10% | 29.49% | 60.40% |
| ≥ 2 | 11.81% | 9.63% | 28.26% |
| ≥ 3 | 3.22% | 2.38% | 9.60% |
| No. of risk factors | |||
| (After H. pylori prevalence imputation) | |||
| ≥ 1 | 64.57% | 62.16% | 82.76% |
| ≥ 2 | 23.26% | 20.08% | 47.19% |
| ≥ 3 | 8.12% | 6.47% | 20.60% |
Figure 1 shows the age-group specific trend of prevalence with at least one risk factor. Prevalence of UGIB risk factors increases with age, with the highest value seen among the 70-79 year-old age group. The age-group specific prevalence of UGIB risk factors among osteoarthritis patients is provided in online only supplementary Table 2.
The increased prevalence of UGIB risk factors with age was consistently noted in the overall population, peaking among subjects in their 70 s (Table 2). For subjects who participated in the national health check-up program, the prevalence of multiple risk factors increased naturally as 2 more risk factors (smoking, and alcohol consumption) were considered (Figure 2). The number of smokers and alcohol consumers generally decreased with age. As the criteria for alcohol consumption changed at the age of 65, the prevalence of problematic drinking increased at the age-group (see online only supplementary Table 3).
| 20-24 | 25-29 | 30-34 | 35-39 | 40-44 | 45-49 | 50-54 | 55-59 | 60-64 | 65-69 | 70-74 | 75-79 | 80-84 | ≥ 85 yr | |
| Comorbid conditions | ||||||||||||||
| Peptic ulcer | 3.84% | 4.80% | 4.92% | 5.49% | 7.61% | 8.47% | 10.87% | 12.45% | 14.20% | 15.49% | 17.50% | 16.08% | 13.72% | 9.95% |
| Diabetes | 0.31% | 0.49% | 0.96% | 1.76% | 3.27% | 5.68% | 8.78% | 13.17% | 18.18% | 22.04% | 25.48% | 25.96% | 23.55% | 16.13% |
| Chronic liver disease | 2.17% | 2.99% | 3.74% | 4.40% | 4.76% | 5.99% | 7.55% | 8.68% | 9.09% | 9.03% | 8.01% | 6.91% | 5.65% | 3.96% |
| Chronic renal failure | 0.03% | 0.06% | 0.09% | 0.14% | 0.23% | 0.28% | 0.39% | 0.59% | 0.88% | 1.13% | 1.66% | 1.84% | 1.96% | 1.66% |
| Gastroesophageal Reflux disease | 6.02% | 8.34% | 8.88% | 9.92% | 13.22% | 13.63% | 17.18% | 19.11% | 22.11% | 22.85% | 23.93% | 20.94% | 17.29% | 11.43% |
| Concomitant drugs1 | ||||||||||||||
| Aspirin | 0.03% | 0.08% | 0.13% | 0.42% | 1.15% | 2.65% | 5.66% | 10.21% | 15.55% | 19.84% | 24.26% | 25.57% | 25.15% | 19.66% |
| Clopidogrel | 0.01% | 0.01% | 0.03% | 0.09% | 0.27% | 0.56% | 1.10% | 2.13% | 3.66% | 5.18% | 7.23% | 8.59% | 9.41% | 7.19% |
| Cilostazol | 0.00% | 0.00% | 0.01% | 0.03% | 0.11% | 0.23% | 0.48% | 0.86% | 1.36% | 1.98% | 2.59% | 3.09% | 2.96% | 2.17% |
| NSAIDs | 0.48% | 0.66% | 1.00% | 1.65% | 2.28% | 3.58% | 6.19% | 8.77% | 11.81% | 15.27% | 18.31% | 19.83% | 19.57% | 14.99% |
| Steroid | 0.27% | 0.35% | 0.44% | 0.59% | 0.72% | 0.91% | 1.23% | 1.64% | 2.18% | 2.99% | 3.60% | 3.80% | 3.48% | 2.50% |
| Anticoagulants2 | 0.01% | 0.01% | 0.03% | 0.04% | 0.06% | 0.09% | 0.15% | 0.23% | 0.32% | 0.47% | 0.68% | 0.88% | 0.68% | 0.46% |
| SSRI | 0.16% | 0.17% | 0.15% | 0.21% | 0.24% | 0.29% | 0.38% | 0.41% | 0.59% | 0.92% | 1.23% | 1.57% | 1.88% | 1.41% |
| No. of risk factors | ||||||||||||||
| ≥ 1 | 11.53% | 15.26% | 16.72% | 19.63% | 25.88% | 30.45% | 40.22% | 49.00% | 58.39% | 64.43% | 70.27% | 70.69% | 67.59% | 54.93% |
| ≥ 2 | 1.66% | 2.42% | 3.23% | 4.36% | 6.59% | 9.35% | 14.79% | 20.87% | 28.01% | 33.92% | 39.74% | 40.03% | 36.67% | 25.34% |
| ≥ 3 | 0.16% | 0.25% | 0.39% | 0.67% | 1.22% | 2.10% | 3.92% | 6.44% | 10.06% | 13.44% | 17.08% | 16.97% | 15.05% | 8.48% |
| No. of risk factors | ||||||||||||||
| (After H. pylori prevalence imputation) | ||||||||||||||
| ≥ 1 | 34.84% | 37.72% | 51.60% | 53.61% | 64.84% | 67.08% | 76.84% | 80.34% | 83.99% | 86.35% | 87.86% | 87.91% | 86.93% | 82.20% |
| ≥ 2 | 4.24% | 5.79% | 8.93% | 10.81% | 16.85% | 20.48% | 30.34% | 38.05% | 46.72% | 52.90% | 57.54% | 57.88% | 54.60% | 42.92% |
| ≥ 3 | 0.54% | 0.83% | 1.60% | 2.26% | 4.04% | 5.87% | 10.63% | 15.35% | 21.22% | 26.20% | 30.43% | 30.36% | 27.95% | 18.31% |
In the sensitivity analysis, although the prevalence of each concomitant drug usage was slightly decreased, the prevalence did not vary much from that of the main analysis (Table 3).
| 20-24 | 25-29 | 30-34 | 35-39 | 40-44 | 45-49 | 50-54 | 55-59 | 60-64 | 65-69 | 70-74 | 75-79 | 80-84 | ≥ 85 yr | |
| Comorbid conditions | ||||||||||||||
| Peptic ulcer | 3.84% | 4.80% | 4.92% | 5.49% | 7.61% | 8.47% | 10.87% | 12.45% | 14.20% | 15.49% | 17.50% | 16.08% | 13.72% | 9.95% |
| Diabetes | 0.31% | 0.49% | 0.96% | 1.76% | 3.27% | 5.68% | 8.78% | 13.17% | 18.18% | 22.04% | 25.48% | 25.96% | 23.55% | 16.13% |
| Chronic liver disease | 2.17% | 2.99% | 3.74% | 4.40% | 4.76% | 5.99% | 7.55% | 8.68% | 9.09% | 9.03% | 8.01% | 6.91% | 5.65% | 3.96% |
| Chronic renal failure | 0.03% | 0.06% | 0.09% | 0.14% | 0.23% | 0.28% | 0.39% | 0.59% | 0.88% | 1.13% | 1.66% | 1.84% | 1.96% | 1.66% |
| Gastroesophageal reflux disease | 6.02% | 8.34% | 8.88% | 9.92% | 13.22% | 13.63% | 17.18% | 19.11% | 22.11% | 22.85% | 23.93% | 20.94% | 17.29% | 11.43% |
| Concomitant drugs1 | ||||||||||||||
| Aspirin | 0.04% | 0.09% | 0.18% | 0.50% | 1.26% | 2.84% | 5.97% | 10.67% | 16.17% | 20.60% | 25.24% | 26.59% | 26.35% | 20.75% |
| Clopidogrel | 0.01% | 0.01% | 0.04% | 0.10% | 0.28% | 0.59% | 1.17% | 2.25% | 3.83% | 5.47% | 7.58% | 9.03% | 10.00% | 7.75% |
| Cilostazol | 0.00% | 0.00% | 0.02% | 0.04% | 0.13% | 0.25% | 0.54% | 0.96% | 1.48% | 2.15% | 2.83% | 3.39% | 3.21% | 2.45% |
| NSAIDs | 2.34% | 3.31% | 4.56% | 6.29% | 7.35% | 9.96% | 14.69% | 18.52% | 23.02% | 27.50% | 31.07% | 31.68% | 30.34% | 22.76% |
| Steroid | 0.88% | 1.07% | 1.28% | 1.62% | 1.88% | 2.21% | 2.91% | 3.50% | 4.43% | 5.54% | 6.59% | 6.72% | 6.07% | 4.58% |
| Anticoagulants2 | 0.01% | 0.01% | 0.03% | 0.04% | 0.07% | 0.10% | 0.16% | 0.25% | 0.34% | 0.53% | 0.73% | 0.96% | 0.73% | 0.50% |
| SSRI | 0.21% | 0.22% | 0.21% | 0.27% | 0.32% | 0.38% | 0.50% | 0.55% | 0.74% | 1.13% | 1.53% | 1.89% | 2.13% | 1.70% |
| No. of risk factors | ||||||||||||||
| (without H. pylori prevalence imputation) | ||||||||||||||
| ≥ 1 | 13.32% | 17.55% | 19.61% | 23.22% | 29.38% | 34.49% | 44.88% | 53.68% | 62.87% | 68.98% | 74.57% | 74.65% | 71.74% | 58.61% |
| ≥ 2 | 2.25% | 3.29% | 4.42% | 5.97% | 8.57% | 11.89% | 18.42% | 24.98% | 33.02% | 39.09% | 45.26% | 45.36% | 41.69% | 29.63% |
| ≥ 3 | 0.29% | 0.48% | 0.74% | 1.18% | 1.99% | 3.20% | 5.72% | 8.93% | 13.23% | 17.29% | 21.32% | 21.25% | 18.75% | 11.07% |
| No. of risk factors | ||||||||||||||
| (after H. pylori prevalence imputation) | ||||||||||||||
| ≥ 1 | 36.21% | 39.37% | 53.24% | 55.64% | 66.45% | 68.97% | 78.69% | 82.11% | 85.68% | 88.13% | 89.66% | 89.52% | 88.55% | 83.72% |
| ≥ 2 | 5.12% | 7.08% | 10.87% | 13.30% | 19.66% | 23.81% | 34.58% | 42.48% | 51.41% | 57.73% | 62.40% | 62.59% | 59.14% | 46.84% |
| ≥ 3 | 0.78% | 1.21% | 2.32% | 3.24% | 5.45% | 7.75% | 13.52% | 18.90% | 25.56% | 30.79% | 35.35% | 35.09% | 32.49% | 21.95% |
To the best of our knowledge, this is the first study to investigate the prevalence of individual and concurrent multiple UGIB risk factors in the general population and patients with osteoarthritis. We also identified the trend of age-group specific prevalence of UGIB risk factors. Large sample size with systematic sampling method ensures the generalization of the results. Moreover, the unique dataset from NHIS enabled us to address multiple personal habits such as smoking, alcohol consumption, as well as comorbid diseases and drugs.
Our findings showed that age was associated with increased prevalence of UGIB risk factors, consistent with previous studies[7,8]. Naturally, the prevalence of individual and concurrent multiple risk factors became higher as the age increased. However, the prevalence of UGIB risks in younger subjects was also substantial. In the overall population, more than 14% of subjects aged 50-54 years old already had 2 or more risk factors. When H. pylori infection was considered, the prevalence of 3 or more risk factors is 10% in this age group. Furthermore, approximately 50% of subjects aged 30-34 years old had at least one risk factor. This is even more evident when we included personal habits as risk factors.
Patients with osteoarthritis have a higher prevalence of concurrent multiple risk factors compared to the subjects without, even after excluding NSAIDs. When NSAIDs were excluded, the difference of age-group specific prevalence of having at least one risk factor between the subjects without osteoarthritis and osteoarthritis patients became smaller. However, this difference of prevalence became larger as age decreases, suggesting that young osteoarthritis patients have more underlying risk factors than the subjects without osteoarthritis.
Our findings have important clinical implications: First, elderly subjects are at high risk for UGIB by not only due to their age, but also multiple comorbid conditions and concomitant drug usage. Furthermore, increasing age is associated with UGIB occurrence, recurrence, and mortality[8]. Physicians with elderly patients should, therefore, identify measures to reduce the occurrence of UGIB in this population.
Second, our study revealed that a considerable portion of young adults has concurrent multiple risk factors of UGIB. When H. pylori infection was considered, more than 10% of the general population aged 35-39 had 2 or more UGIB risk factors. When we took into account subjects’ personal habits, more than 60% of those aged 20-24 factors, physicians should consider individualized risk assessment for UGIB of already had at least one UGIB risk factor. Given that osteoarthritis patients are likely to consume NSAIDs and possess higher prevalence of UGIB risk in NSAIDs prescription, regardless of patients’ age[30]. Selective COX-2 inhibitors or concurrent prescription of proton pump inhibitors or misoprostol may be a good option for osteoarthritis patients with high risk of UGIB[28,34,35,39,40].
Finally, identifying and controlling modifiable risk factors is of great importance. The majority of subjects who already consume the above-mentioned drugs are those who require them long-term, possibly lifelong. In addition, most of the comorbid conditions related to UGIB are intractable chronic disease. Therefore, these high-risk subjects should control any modifiable risk factors of UGIB, such as smoking, heavy drinking, and H. pylori infection[27,35]. Also, further prospective studies are needed to address the issue of other lifestyle modification and UGIB prevention.
This study has several limitations. First, we did not include other risk factors apart from the ones studied. For instance, drug-drug interaction and drug dosage (both of which increase the risk of UGIB) were not considered[19,25]. Furthermore, some drugs may cause UGIB even with short-term use[36]. Additionally, we used imputation of H. pylori infection prevalence from a cohort study[38]. This might affect the prevalence of individual and concurrent multiple risk factors of UGIB. More detailed information about individual-level risks may give rise to a different prevalence. However, the difference in prevalence between the main and sensitivity analysis was not high, supporting the reliability of the results. Finally, ICD-10 codes based definition of osteoarthritis may not meet the specific diagnostic criteria. However, claims with such osteoarthritis diagnosis are usually made with clinical features which are consistent with symptoms and signs of osteoarthritis, and are accompanied by prescription of NSAIDS, which increases the risk of UGIB. In addition, claims data has its own strengths in terms of large sample size, representativeness, and generalizability to the real world setting.
We investigated the prevalence of various risk factors of UGIB in the general population and osteoarthritis patients. Physicians should consider individualized risk assessment regardless of age when prescribing drugs or performing procedures that may increase the risk of UGIB, and take necessary measures to reduce modifiable risk factors such as H. pylori eradication or lifestyle counseling.
Despite advances in medical science, upper gastrointestinal bleeding (UGIB) is still a high risk condition with high morbidity and mortality. Although its incidence is decreasing worldwide, a substantial amount of patients are still suffering from UGIB. Furthermore, the proportion of aspirin- or non-steroidal anti-inflammatory drugs-related UGIB is also increasing.
While several studies have identified significant risk factors of UGIB, many focused on assessing the relative risks of each factor in a specific population group only, not the general population. To the best of our knowledge, to date, no large general-population-based studies have investigated the epidemiology of UGIB risk factors. The research hotspot is to assess the prevalence of various UGIB risk factors among the general population, and compared the prevalence between patients with osteoarthritis and others.
This is the first study to investigate the prevalence of individual and concurrent multiple UGIB risk factors in the general population and patients with osteoarthritis. The authors also identified the trend of age-group specific prevalence of UGIB risk factors. The prevalence of individual and concurrent multiple risk factors became higher as the age increased. However, the prevalence of UGIB risks in younger subjects was also substantial. In addition, patients with osteoarthritis have a higher prevalence of concurrent multiple risk factors compared to the general population.
Present study has important clinical implications. First, elderly subjects are at high risk for UGIB by not only due to their age, but also multiple comorbid conditions and concomitant drug usage. Second, physicians should always bear in mind the possibility of UGIB, regardless of age. Finally, identifying and controlling modifiable risk factors is of great importance.
In the presented article the prevalence of possible risk factors of UGIB among general population and patients with osteoarthritis were assessed. The prevalence of risk factors were higher in patients with osteoarthritis compared to general population
Manuscript source: Unsolicited manuscript
Specialty type: Gastroenterology and hepatology
Country of origin: South Korea
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P- Reviewer: Garcia-Olmo D, Koch TR, Ozen H S- Editor: Qi Y L- Editor: A E- Editor: Zhang FF
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