For those who initiate chronic dialysis, knowing what proportion will experience 3-year outcomes of hemorrhage with hospitalization informs patient prognosis, disease impact, and the planning of trials and programs to prevent events.
Objectives
We examined the incidence of hemorrhage and related gastrointestinal endoscopic procedures in incident older dialysis patients and stratified patients by age, era, dialysis modality and whether recently prescribed anti-thrombotic medication.
Design
Retrospective cohort study
Setting
Ontario, Canada from 1998 to 2008 (n = 11,173)
Patients
All older patients (>65 years) who initiated chronic dialysis
Measurements
Hospitalization with hemorrhage and its subtypes (upper and lower gastrointestinal, intra-cerebral, subarachnoid) and related-gastrointestinal procedures.
Methods
Three-year outcomes of hospitalization with hemorrhage were expressed as cumulative incidence and incidence rate (number of events per 1,000 patient years). Results were stratified by patient age (66 to 74, 75 to 84, ≥ 85), era (1998 to 2001, 2002 to 2005, 2006 to 2008) and dialysis modality. Among those with hemorrhage, we examined prescriptions for anti-thrombotic medications (warfarin, clopidogrel) in the preceding 120 days.
Results
The 3-year cumulative incidence of hemorrhage was 14.4% (roughly 1 in 7 patients). By location, the 3-year cumulative incidence was 8.9% lower gastrointestinal, 6.1% upper gastrointestinal, 0.9% intra-cerebral and 0.1% sub arachnoid hemorrhage. The 3-year cumulative incidence of gastrointestinal endoscopic procedures was 14.8%. The cumulative incidence and rate of hemorrhage were not appreciably different across the 3 age strata, by era or by dialysis modality. Among patients with a hemorrhage, 29.5% were prescribed warfarin in the preceding 120 days, and 8.4% clopidogrel.
Limitations
Recurrent events were not included.
Conclusions
Many older patients who initiate chronic dialysis will be hospitalized with hemorrhage and receive related procedures over the subsequent three years. Despite greater age and co-morbidity over the last decade this incidence has not changed.
Abrégé
Contexte
Dans les cas de dialyse chronique, connaître la proportion de patients qui souffriront d’hémorragies nécessitant une hospitalisation dans les trois années suivantes fournit un éclaircissement sur le pronostic des patients, les répercussions de la maladie et la planification des essais et des programmes visant à prévenir ces épisodes.
Objectifs
Nous avons examiné l’incidence des hémorragies et des procédures gastro-intestinales endoscopiques connexes chez les patients âgés débutant la dialyse, et les avons stratifiés par âge, par période, par modalité de dialyse et selon qu’on leur a récemment prescrit des médicaments antithrombotiques.
Type d’étude
Étude rétrospective de cohorte
Contexte
Ontario, Canada, entre 1998 et 2008 (n = 11 173)
Participants
Tous les patients âgés (>65 ans) qui ont entamé une dialyse chronique
Mesures
L’hospitalisation avec hémorragie et sous-types (hémorragie digestive haute ou basse, intracérébrale, sous-arachnoïdienne), de même que les procédures gastro-intestinales connexes.
Méthodes
Les cas d’hémorragies nécessitant l’hospitalisation dans les trois années suivantes sont exprimés en taux d’incidence cumulatif et en taux d’incidence (nombre de cas pour 1 000 patients par année). Les résultats ont été stratifiés par âge du patient (66 à 74, 75 à 84, ≥ 85), par période (1998 à 2001, 2002 à 2005, 2006 à 2008) et par modalités de dialyse. Parmi ceux qui ont souffert d’hémorragie, nous avons examiné les prescriptions de médicaments antithrombotiques (warfarine, clopidogrel) au cours des 120 jours précédents.
Résultats
Le taux d’incidence cumulatif des hémorragies sur trois ans était de 14,4% (environ 1 patient sur 7). Par localisation du saignement, le taux d’incidence cumulatif sur trois ans indiquait une hémorragie digestive basse à 8,9%, intracérébrale à 0,9% et sous-arachnoïdienne à 0,1%. Le taux d’incidence cumulatif des procédures gastro-intestinales endoscopiques était de 14,8%. Le taux d’incidence cumulatif et le taux d’incidence des hémorragies ne variaient pas sensiblement en fonction de l’âge, de la période ou de la modalité de dialyse. Parmi les patients ayant souffert d’hémorragie, 29,5% ont reçu une prescription de warfarine au cours des 120 jours précédents, et 8,4%, de clopidorel.
Limites de l’étude
Les cas récurrents n’ont pas été considérés.
Conclusion
Plusieurs patients âgés qui entament une dialyse chronique seront hospitalisés pour hémorragie et subiront les procédures connexes au cours des trois années suivantes. Malgré un âge plus avancé et une comorbidité au cours de la dernière décennie, la fréquence n’a pas changé.
What was known before
Dialysis patients are known to experience a significant risk of hemorrhagic events. Accurate determination of the risk has been difficult due to variations in the definition of hemorrhage and the use of non-validated diagnostic codes in previous studies. Further it remains unclear if or to what magnitude the hemorrhagic risk changes with increasing age and over time.
What this adds
We found that one in seven patients (14.43%) will experience a hospitalization with a hemorrhage within the first three years of initiating dialysis and this high risk did not increase with age or improve over time.
Background
Patients who initiate chronic dialysis are older, have more co-morbid illness than a decade prior, and subsequently may experience more hospitalizations in follow-up. Hemorrhages are one of most common hospital admission diagnoses in the end-stage renal disease population and contribute significant morbidity and mortality [1]. Compared to the general population, the incidence of hemorrhage is considerably higher in those receiving dialysis with rates ranging from 35.4 to 80 per 1000-patient years (which is contingent on the study design, the definition used, method of outcome ascertainment and concurrent use of anti-thrombotic medications such as clopidogrel or warfarin) [2],[3].
In the non-dialysis population, the incidence of hemorrhagic events has been declining over the last two decades, attributed to the widespread use of gastrointestinal endoscopic procedures, treatments for H.pylori-related ulcers and the use of proton pump inhibitors [4]–[8]. In an American dialysis population, the incidence of non-variceal upper gastrointestinal bleeding had not changed over the last decade despite increasing patient comorbidity [9],[10]. It is unknown whether the same is true in other jurisdictions, or applies to other types of bleeding (lower gastrointestinal, intracranial bleeding) or related procedures (gastrointestinal endoscopy). Furthermore, the risk of bleeding appears to increase with advancing age [7]. In the non-CKD, non-dialysis population, hospitalizations for UGI hemorrhage per 100, 000 population increased dramatically with age (<65 31.7, 66 to 75 197.4, > 75 425.2) with a similar trend observed for lower GI hemorrhage. As the average age of incident dialysis patients is increasing over time, it follows that there may a parallel rise in the risk of major hemorrhage [11]. Lastly, the hemorrhagic risk may differ based on the dialysis modality as patients on peritoneal and hemodialysis are well known to differ based on co-morbidities, exposures (to heparin with the hemodialysis procedure) and functional status.
In this study we examined older adults who initiated chronic dialysis in Ontario, Canada over a ten-year period to determine the 3-year cumulative incidence and incidence rate (per 1000 person years) of hemorrhage and related gastrointestinal endoscopic procedures. We further examined hemorrhage incidence across three age (66 to 74, 75 to 84, ≥85), era (1998 to 2001, 2002 to 2005, 2006 to 2008) and dialysis modality (peritoneal, hemodialysis) and considered whether patients with hemorrhagic events were recently prescribed anti-thrombotic medication.
Methods
Study design and setting
We conducted a population-based study of all older adults who initiated chronic dialysis in Ontario, Canada between January 1, 1998 and December 31, 2008 using linked health care databases. Ontario has approximately 13 million residents, 14% of whom are 65 years of age or older [12]. Residents have universal access to hospital care and physician services and those 65 years of age or older have universal prescription drug coverage. All healthcare encounters are entered in administrative databases and are held in a linked, de-identified form at the Institute for Clinical Evaluative Sciences (ICES). We conducted this study according to a pre-specified protocol that was approved by the research ethics board at Sunnybrook Health Sciences Centre (Toronto, Canada). The reporting of this study followed guidelines for observational studies [13] (Additional file 1: Table S1). Regional ethics approval was obtained.
Data sources
We ascertained patient characteristics, drug use, covariate information, and outcome data using records from five linked databases. We identified patients initiating chronic dialysis in Ontario through the Canadian Organ Replacement Registry (CORR) [11]. CORR is a national dialysis registry with information collected from all dialysis facilities in Canada on incident chronic dialysis patients [14],[15]. The recorded information includes dialysis modality and the type of vascular access. We obtained vital statistics from the Ontario Registered Persons Database which contains demographic information on all Ontario residents who have ever been issued a health card. We used the Ontario Drug Benefit Plan database to identify prescription drug use. This database contains highly accurate records of all outpatient prescriptions dispensed to patients aged 65 or older, with an error rate of less than 1% [16]. We identified diagnostic and procedural information on all hospitalizations from the Canadian Institute for Health Information Discharge Abstract Database (CIHI-DAD). We obtained information from the Ontario Health Insurance Plan database, which includes health claims for inpatient and outpatient physician services. Previously, we have used these databases to research renal health outcomes and health services [17]–[19]. Whenever possible, we defined patient characteristics, dialysis characteristics and outcomes using database codes that have been proven reliable when compared with manual chart review (Additional file 1: Table S2).
Patients
We studied patients who initiated chronic dialysis therapy within our 10 year accrual period. CORR captures patients who require chronic dialysis therapy; their date of dialysis initiation served as the index date (also referred to as the cohort entry date). We excluded the following people from analysis: i) those without at least one year of eligibility for prescription drug coverage (age less than 66) to avoid incomplete medication records, ii) those with a prior history of kidney transplantation or prior chronic dialysis, to focus on incident end-stage renal disease treated with chronic dialysis and iii) those who initiated chronic dialysis during a hospital stay and died prior to hospital discharge.
Known demographics and co-morbid risk factors for hemorrhage were recorded including age, hypertension, prior major hemorrhage [20], diabetes, cardiovascular disease including prior myocardial infarction, and atrial fibrillation in the five years preceding dialysis initiation. Antithrombotic therapy (warfarin, clopidogrel) was captured in the 30 and 120 days preceding the hemorrhagic event. In Ontario, acetyl-salicylic acid (ASA) is often available without a prescription and thus would not be captured in the Ontario Drug Benefit Plan.
Outcomes
All individuals were followed for three years after the initiation of chronic dialysis for the outcomes of interest. The primary outcome was the first hospitalization with non-traumatic major hemorrhage, a composite outcome defined by any of the following: upper and lower gastrointestinal (GI) hemorrhage, intra-cerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH). The secondary outcome was each specific subtype of hemorrhage and all gastrointestinal endoscopic procedures that occurred during the hospital stay.
The components of non-traumatic major hemorrhage were specifically selected based on prior validation studies and the severity of each event [21],[22]. Previous studies have reported positive predictive values of 90-98% for each of the specific subtypes of hemorrhage we used as secondary outcomes [21],[22]. Non-validated hemorrhages, such as those associated with vascular access, and non-severe hemorrhages (e.g. epistaxis) were excluded. Gastrointestinal endoscopic procedures included gastroscopy, colonoscopy, sigmoidoscopy, duodenoscopy, & esophagoscopy. Hospitalizations for outcomes were identified using the International Classification for Disease (ICD), 9 and 10 codes (Additional file 1: Table S3).
Statistical analysis
The study period was categorized into three eras: 1998–2001, 2002–2005, 2006–2008, three age groups: 66–74, 75–84 and ≥85 years of age and dialysis modality (peritoneal dialysis and hemodialysis). Differences between baseline characteristics were evaluated using analysis of variance (ANOVA) and chi-squared tests. We determined frequencies and calculated a modified Charlson comorbidity index for all patients at baseline by era [23].
We calculated the three-year cumulative incidence of hemorrhagic events (defined as the proportion of patients who experienced the event at least once within the three-years of follow-up in percent) and three-year incidence rates (defined as the rate per 1,000 person-years of follow-up). For the primary outcome, patients were censored at the time of their first hemorrhagic event, death or end of follow-up period whereas for the secondary outcome of subtypes of hemorrhage or related-procedures, patients were censored only after the specific subtype of hemorrhage or related-procedure occurred, death or the end of the follow-up period. This allowed us to determine the specific subtype or related procedure incidence. Primary results were stratified by era (1998 to 2001, 2002 to 2005, and 2006 to 2008), age category (65–74, 75–84, ≥85) and dialysis modality. Trends were examined using the Cochrane-Armitage test. We examined whether patients with hemorrhage were prescribed anti-thrombotic medications (warfarin, clopidogrel) in the 30 days and 120 days preceding their hemorrhagic event. Of note, the three-year cumulative incidence does not account for time at risk, representing simply a proportion of events achieved with 3 years. In this regard, the incidence rate was also calculated.
Results
Our final study cohort included 11, 173 incident chronic dialysis patients comprising 19,894.2 patient-years of follow-up with the average follow-up per person of 677 days (see cohort development Additional file 1: Figure S1). Baseline characteristics by era and age are presented in Table 1. Most patients were Caucasian (versus other races) and initiated hemodialysis (>80% of the cohort, versus peritoneal dialysis). A history of atrial fibrillation and hemorrhage were common in the older age groups. Patients who initiated dialysis in more recent years (versus earlier years) were slightly older and had greater comorbidity. Prescriptions at dialysis initiation for warfarin were unchanged (mean 12.2%, p = 0.098) whereas clopidogrel significantly increased from 0.5 to 8.0% (p < 0.001) in the more recent era compared to earlier. Among co-morbidities prior to dialysis initiation, hemorrhage, acute coronary syndrome and the presence of a mechanical heart valve were more common in the recent era.
Table 1
Baseline characteristics of patients initiating chronic dialysis in Ontario, Canada from 1998 to 2008
Era, year of dialysis initiation
Patient age, years
Characteristics
Total
1998-2001
2002-2005
2006-2008
p-value
65-74
75-84
≥85
p-value
n = 11,173
n = 3,837
n = 4,231
n = 3,105
Age, mean ± SD
75.8 ± 6.2
74.8 ± 5.8
76.1 ± 6.2
76.5 ± 6.43
<0.001
Women,%
42.3
42.3
42.0
42.6
0.873
41.6
42.5
44.2
0.286
Race,%
Caucasian
77.0
70.0
80.7
80.7
<0.001
73.9
79.4
80.5
<0.001
East Asian
6.2
6.6
6.1
5.8
5.9
6.2
7.6
South Asian
3.0
2.6
3.1
3.5
4.1
2.4
0.7
Aboriginal
1.1
1.1
1.0
1.2
1.7
0.6
0.4
Other
4.9
4.4
5.1
5.1
6.2
3.8
3.5
Unknown
7.9
15.5
4.0
3.6
8.1
7.7
7.4
Modality,%
Hemodialysis
81.4
78.5
82.3
80.4
<0.001
77.6
82.8
83.4
<0.001
Peritoneal dialysis
19.5
21.5
17.7
19.6
22.4
17.2
16.6
Medication*,%
Clopidogrel
4.5
0.5
5.6
8.0
<0.001
4.3
4.7
4.8
0.571
Warfarin
12.2
11.8
11.9
13.3
0.098
10.6
13.5
13.9
<0.001
Co-morbidity,%
Atrial fibrillation
14.7
14.0
15.3
14.9
0.258
12.2
16.6
17.8
<0.001
Stroke
5.0
5.8
5.0
4.0
0.003
5.2
4.9
4.5
0.514
Prior Major hemorrhage
10.1
8.9
10.1
11.7
<0.001
10.0
9.8
12.4
0.039
Acute coronary syndrome
13.6
12.7
14.7
13.2
0.026
1.8
2.1
1.8
0.588
Deep vein thrombosis & pulmonary embolism
1.9
1.8
1.8
2.3
0.202
1.8
2.1
1.8
0.588
Mechanical heart valve
1.3
0.9
1.4
1.5
0.022
1.5
1.2
0.3
0.009
Modified Charlson Co-morbidity Indexǂ,%
2
27.4
27.7
26.7
28.0
<0.001
26.8
27.5
30.2
<0.001
3
13.9
17.5
12.9
10.9
12.2
14.7
18.2
4
19.0
20.1
17.3
19.9
18.6
19.0
20.9
≥5
39.7
34.7
43.0
41.2
42.4
38.8
30.6
*Medication was based on evidence of medication prescription at dialysis initiation.
ǂ We used a modified Charlson Index that gave each individual on dialysis an automatic two-points for moderate-to-severe kidney disease.
Three-year cumulative incidence and event rate of hemorrhage
The three-year cumulative incidence of hemorrhage was 14.43% with an event rate of 52.64 per 1000 person years (see Table 2). By site of bleeding, the cumulative incidence and event rates were highest for lower gastrointestinal (8.88% and 31.21 per 1000 person years) followed by upper gastrointestinal (6.06% and 20.94 per 1000 person years), intra-cerebral (0.85% and 2.85 per 1000 person years) and subarachnoid (0.10% and 0.33 per 1000 person years). The three-year cumulative incidence and event rate for the receipt of gastrointestinal endoscopy (upper, lower) was 14.86% and 54.45 per 1000 person years of patients. Patients with hemorrhage at more than one anatomical location occurred in 162 cases (1.45%).
Table 2
3-year cumulative incidence and incidence rates per 1,000 person year of total hemorrhages and hemorrhage subtypes
Total hemorrhage
1
Lower gastrointestinal hemorrhage
2
Upper gastrointestinal hemorrhage
2
Intra-cerebral hemorrhage
2
Subarachnoid hemorrhage
2
Gastrointestinal endoscopy
3
N = 11, 173
1612
992
677
95
11
1660
3-year cumulative incidence (%)
14.43
8.88
6.06
0.85
0.10
14.86
Event rate (per 1000 patient-years)
52.64
31.21
20.94
2.85
0.33
54.45
1Counted as the first major hemorrhage at any anatomical location.
2Counted as the first hemorrhage at this anatomical location.
3Gastrointestinal endoscopy included gastroscopy, colonoscopy, sigmoidoscopy, duodenoscopy & esophagoscopy, when the procedure occurred during hospital stay.
Age and the three-year cumulative incidence and event rate of hemorrhage
The 3-year cumulative incidence and event rate for hemorrhage was similar across age groups (see Figure 1). They were highest in those 75–84 years of age (14.55%, 53.23 per 1000 person years) and lowest in those ≥ 85 years of age (13.95%, 50.78 per 1000 person years). Individuals ≥ 85 years of age had the highest 3-year cumulative incidence of lower gastrointestinal hemorrhage (9.30%, 32.85 per 1000 person years) and lowest incidence of upper gastrointestinal hemorrhage (5.04%, 17.3 per 1000 person years) and intra-cerebral hemorrhage (0.58%, 1.94 per 1000 person years). Individuals’ ≥ 85 years of age underwent substantially fewer gastrointestinal endoscopic procedures (9.59%, 34.14 per 1000 person years, p = 0.005) than those in the other 2 age categories.
Figure 1
3-year cumulative incidence rate of all hemorrhage, its subtypes and related-endoscopy, stratified by age groups. A p-value of 0.005 was found in the gastrointestinal endoscopy group across age using Cochrane-Armitage test for trend.
Secular trends in the rates of hemorrhage
The 3-year cumulative incidence rates and event rates (per 1000 person years) of hemorrhage were consistent across time periods and varied from 14.15 to 14.36% and 51.57 to 52.29 (see Table 3). The highest 3-year cumulative incidence and event rate for lower gastrointestinal hemorrhage was seen in 2002–2005 (9.08%, 31.97 per 1000 patient-years). In the same era, the 3-year cumulative incidence and event rate for upper gastrointestinal hemorrhage was lowest (5.91%, 20.41 per 1000 patient-years). The 3-year cumulative incidence of gastrointestinal endoscopic procedures ranged from 15.66 to 14.94% and was steady over time (p = 0.34). Intra-cerebral hemorrhages increased from 0.70 to 0.97%, p = 0.23 whereas the 3 year cumulative incidence of subarachnoid hemorrhage was relatively low.
Table 3
Secular trends of the 3-year cumulative incidence (%) and event rates of hemorrhage (per 1000 person years), its subtypes, related endoscopy and all-cause mortality
Outcome
Total
1998-2001
2002-2005
2006-2008
P value
Total hemorrhage
3-yr incidence
14.43
14.15
14.72
14.36
0.78
Event rate
52.64
51.57
53.87
52.29
Upper gastrointestinal
3-yr incidence
6.06
6.12
5.91
6.18
0.95
Event rate
20.94
21.19
20.41
21.33
Lower gastrointestinal
3-yr incidence
8.88
8.84
9.08
8.66
0.83
Event rate
31.21
31.01
31.97
30.42
Intra-cerebral
3-yr incidence
0.85
0.70
0.90
0.97
0.23
Event rate
2.85
2.35
3.01
3.24
Subarachnoid
3-yr incidence
0.10
0.05
0.14
0.10
0.51
Event rate
0.33
0.17
0.47
0.32
Gastrointestinal endoscopy
3-yr incidence
14.86
15.66
14.06
14.94
0.34
Event rate
54.45
57.76
51.36
54.61
Dialysis modality and three-year cumulative incidence and event rate of hemorrhage
The three-year cumulative incidence and event rate for total hemorrhage and its subtypes were all lower among peritoneal dialysis patients compared to hemodialysis however the differences were not statistically significant (see Table 4). Patients on peritoneal dialysis did undergo more gastrointestinal endoscopic procedures than patients on hemodialysis (17.84 vs. 14.13%, p < 0.0001).
Table 4
Total 3-year cumulative incidence and event rates of hemorrhage (per 1,000 person years), its subtypes, and related endoscopy stratified by dialysis modality
Outcome
Total
P value
Hemodialysis
Peritoneal dialysis
Total hemorrhage
3-yr incidence
14.63%
13.58%
0.21
Event rate
53.37
48.86
Upper gastrointestinal
3-yr incidence
6.09%
5.92%
0.76
Event rate
21.07
20.38
Lower gastrointestinal
3-yr incidence
9.04%
8.21%
0.22
Event rate
31.85
28.59
Intra-cerebral
3-yr incidence
0.88%
0.73%
0.51
Event rate
2.94
2.45
Subarachnoid
3-yr incidence
-
-
Event rate
0.30
0.46
Gastrointestinal endoscopy
3-yr incidence
14.13%
17.84%
<0.0001
Event rate
51.64
66.24
Note: 3-year cumulative incidence of subarachnoid hemorrhage cell values were suppressed for the purposes of privacy and confidentiality.
3-year cumulative incidence and secular trends of hemorrhage and preceding prescription for anti-thrombotic medications
Among the 1,612 patients with hemorrhages, 4.20 and 8.37 were prescribed clopidogrel in the preceding 30 and 120 days (Table 5). Warfarin prescriptions occurred in 16.6 and 29.53% in the preceding 30 and 120 days. Just over half the hemorrhagic events observed occurred within 30 days of prescription of either drug. Clopidrogrel prescription prior to major bleeding increased over time from 1998–2001 to 2006–2008 (p < 0.001) and during the same time period, warfarin prescription declined 120 days prior to the event (p = 0.023). Co-prescription of both warfarin and clopidogrel in the period prior to a hemorrhage was relatively rare with a non-significant increase over time from 0.7% to 3.4% (p = 0.07).
Table 5
Secular trends of the proportion of patients who received an anti-thrombotic medication prescription 30 and 120 days preceding a hemorrhagic event
Medication
Total
1998-2001
2002-2005
2006-2008
P value
Clopidogrel (30 days)
4.2%
1.7%
4.3%
7.0%
<0.001
Clopidogrel (120 days)
8.4%
2.6%
9.3%
14.1%
<0.001
Warfarin (30 days)
16.6%
17.5%
17.5%
14.3%
0.316
Warfarin (120 days)
29.5%
33.3%
29.2%
25.3%
0.023
Warfarin + Clopidogrel (120 days)
1.8%
0.7%
1.6%
3.4%
0.072
Discussion
In this population-level study of older incident dialysis patients in Ontario, Canada, the 3-year cumulative incidence of hospitalization with hemorrhage was 14.43% or one in seven patients. The most common site of bleeding was lower gastrointestinal followed by upper gastrointestinal, intra-cerebral and subarachnoid hemorrhage, and many patients received an endoscopic procedure during their hospital admission. The incidence of hemorrhage was stable across age groups, over time, by dialysis modality and elevated among those recently prescribed anti-thrombotic medications. Among incident dialysis patients, the burden of hemorrhage is high and population-specific interventions are warranted.
Our finding of a high incidence of hemorrhage among incident dialysis patients with an observed rate of 52.64 per 1,000 person years is consistent with previous studies [2],[3],[24]. In prior large dialysis cohort studies event rates have ranged from 35.4 to 80 per 1,000 person-years [2],[3]. Differences in the reported rates are attributable to variations in the definition of hemorrhage and inclusion criteria of individual studies. Olsen et al. examined hemorrhage requiring hospitalization in patients with atrial fibrillation and included urinary tract and airway hemorrhage [3]. Sood et al. reported an event rate of 80/1000 patient-years for hemorrhage with hospitalization with a broader definition including epistaxis, vascular access-related hemorrhage and subdural hematoma, and the study cohort included both incident and prevalent dialysis patients [2]. Of note the Canadian dialysis population may differ from international counterparts with relatively higher use of central venous catheters and warfarin all of which may impact the risk of hemorrhage [2],[11].
As our rate estimates were determined in incident dialysis patients, they could serve to inform patients of their risk prior to dialysis initiation. The ability to quantitate risk of dialysis-related complications prior to dialysis initiation is increasingly important with the shift in demographics of the dialysis population to the elderly and need to balance quantity and quality of life. We further calculated the three-year cumulative incidence of hemorrhage as it may be a simple and meaningful way to communicate risk and understand disease burden from a patient perspective [25]. We found a 3-year cumulative incidence of 14.43% thus roughly 1 in 7 elderly dialysis patients will experience a hemorrhage requiring hospitalization within 3 years of dialysis initiation. This could be used in pre-dialysis discussions with patients to help them understand the risks of complications after dialysis initiation.
Among the specific subtypes of hemorrhagic events, we found upper and lower gastrointestinal hemorrhage (both well validated definitions of hemorrhage) to be the most common and roughly twenty to one hundred-fold higher in the elderly dialysis population compared to the general population [6],[26],[27]. Upper gastrointestinal hemorrhage has been previously reported in large US ESRD cohorts ranging from 23–57 per 1,000 person-years [10],[28]. This is comparable to our rate of 20.94 per 1000 patient-years. Similarly, subarachnoid hemorrhage and intra-cerebral hemorrhage were found to occur at rates 3- to 10- fold higher in the dialysis population compared to those reported in the general population [29]. The rate of subarachnoid hemorrhage among those with ESRD was recently reported as 3-fold higher in the US compared to our study (0.74 vs. 0.33 per 1000-patient years) [29]. Differences among the rates may be attributable to a higher prevalence of associated risk factors (such as women US: 56.3% vs Canada: 42.3% and African Americans US: 25.7% vs Canada <5%) [29].
The risk of hemorrhage was stable over time, by age group and dialysis modality. The steady temporal trends have been reported in the US dialysis populations for upper gastrointestinal and subarachnoid hemorrhage, however, the comparable risk across age groups to our knowledge has not been previously reported [10],[29]. The stable temporal trends in the dialysis population are in contrast to the general population where GI and SAH have been reported to be declining steadily over the last two decades [6],[30]. This has been attributed to advances in prevention (acid suppressing medications) or related risk factors (hypertension treatment for subarachnoid hemorrhage) in the general population. Yet it remains unclear whether therapies are effective or treatment targets are similar or comparable in the dialysis population. The stable risk of hemorrhage with advancing age is reassuring and again provides important prognostic information for the elderly initiating dialysis. Of note, the absence of an increase in hemorrhagic events in the elderly may reflect a selection bias as elderly patients who are less likely to experience a hemorrhagic event may also be more apt to choose dialysis therapy over conservative treatments. Surprisingly despite similar hemorrhage rates, individuals ≥ 85 were much less likely to receive related endoscopic procedures (p = 0.005). Although the specific reasons for not performing endoscopic procedures were unknown, there is an increased risk of complications, often due to the bowel preparation or anesthetics, with advancing age and frailty [31]. The hemorrhagic risk appears to be similar based on dialysis modalities with the only difference detected being in gastrointestinal endoscopic procedures. It should be noted that the two cohorts are known to differ significantly in terms of demographics, co-morbidities, functionality and exposures [32]. These disparities were not accounted for in the present analysis and represent future areas on investigation.
A question of interest is the risk of hemorrhage with the use of anti-thrombotic medications [1],[33]–[35]. We observed a large number of hemorrhagic events occurring following a recent warfarin or clopidogrel prescription. Of concern, the incidence of hemorrhage associated with clopidogrel prescription use was trending upward during the study period. To date, there remains very little evidence for efficacy of these medications in dialysis patients aside from warfarin use for a recent or recurrent thrombus [36],[37]. Despite the increase in prescriptions for clopidogrel associated with hemorrhagic events over time, there was no significant increase in total hemorrhagic events. Whether this represents possible selection bias, increased use of co-interventions or declines in hemorrhagic events among patients not treated with anti-thrombotics remains unknown.
Our study has a number of strengths. Our definition of hemorrhage was stringent and limited to severe events requiring hospitalization. Previous studies included surrogate measures of bleeding (such as blood transfusion), bleeding events managed in the outpatient setting and subtypes with limited clinical impact (epistaxis) [2],[3],[24]. We used well validated definitions for our outcomes and excluded those lacking validation (vascular access related bleeding). We determined a three-year follow-up to ensure estimates of hemorrhage incidence would be useful for sample size calculations in future clinical trials. As CORR captures nearly all incident dialysis patients in Canada, our findings are representative and generalizable.
Our study has some limitations. We did not include traumatic or peri-operative bleeding events. Medication prescription was obtained only in cross section at the initiation of dialysis or 120 days preceding an event, and did not account for medication continuation and discontinuation over time. We lacked information on ASA use or INR control among warfarin users. We did not account for recurrent events or events in prevalent dialysis patients which would have considerably increased our risk estimates. We did not have information regarding heparin-use during the hemodialysis procedure nor did we account for changes in modality over time.
Conclusion
Among incident dialysis patients are at high risk of hemorrhagic events requiring hospitalization. These events are stable over time, across age groups and by dialysis modality. Further studies of risk stratification for these events, and strategies to reduce these events, are needed.
Additional file
Declarations
Financial disclosures
Dr. Sood has served on advisory boards for Roche. Dr. Garg received an investigator-initiated grant from Astellas and Roche for a Canadian Institutes of Health Research study in living kidney donors and his institution received unrestricted research funding unrelated to this project from Pfizer.
Funding/Support
This study was supported by the Institute for Clinical Evaluative Sciences (ICES) Western Site. ICES is funded by an annual grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC). ICES Western is funded by an operating grant from the Academic Medical Organization of Southwestern Ontario (AMOSO). This project was conducted with members of the provincial ICES Kidney, Dialysis, and Transplantation Research Program, which receives programmatic grant funding from the Canadian Institutes of Health Research. The opinions, results and conclusions are those of the authors and are independent from the funding sources. No endorsement by ICES, AMOSO, CIHR, or the MOHLTC is intended or should be inferred. Manish M Sood receives a salary support award from the Jindal research chair for the prevention of kidney disease.
Role of the sponsor
The opinions, results and conclusions reported in this paper are those of the authors and are independent of the funding sources.
Authors’ Affiliations
(1)
Ottawa Hospital Research Institute, Department of Medicine, University of Ottawa, Ottawa Institute for Clinical Evaluative Sciences
(2)
Institute for Clinical Evaluative Sciences
(3)
Department of Epidemiology and Biostatistics, Western University
(4)
Department of Medicine, University of Toronto
(5)
The Institute of Health Policy Management and Evaluation, University of Toronto
(6)
Seven Oaks General Hospital
(7)
Kidney Clinical Research Unit, Division of Nephrology, Western University
(8)
Division of Nephrology, Department of Medicine, Western University
References
Sood MM, Komenda P, Sood AR, Rigatto C, Bueti J: The intersection of risk and benefit: is warfarin anticoagulation suitable for atrial fibrillation in patients on hemodialysis?Chest 2009,136(4):1128–1133. 10.1378/chest.09-0730View ArticleGoogle Scholar
Sood MM, Larkina M, Thumma JR, Tentori F, Gillespie BW, Fukuhara S, Mendelssohn DC, Chan K, de Sequera P, Komenda P, Rigatto C, Robinson BM: Major bleeding events and risk stratification of antithrombotic agents in hemodialysis: results from the DOPPS.Kidney Int 2013,84(3):600–608. 10.1038/ki.2013.170View ArticleGoogle Scholar
Olesen JB, Lip GYH, Kamper A-L, Hommel K, Køber L, Lane DA, Lindhardsen J, Gislason GH, Torp-Pedersen C: Stroke and bleeding in atrial fibrillation with chronic kidney disease.N Engl J Med 2012,367(7):625–635. 10.1056/NEJMoa1105594View ArticleGoogle Scholar
Gomes T, Mamdani MM, Holbrook AM, Paterson JM, Hellings C, Juurlink DN: Rates of hemorrhage during warfarin therapy for atrial fibrillation.Can Med Assoc J 2013,185(2):E121-E127. 10.1503/cmaj.121218View ArticleGoogle Scholar
Ohmann C, Imhof M, Ruppert C, Janzik U, Vogt C, Frieling T, Becker K, Neumann F, Faust S, Heiler K, Haas K, Jurisch R, Wenzel EG, Normann S, Bachmann O, Delgadillo J, Seidel F, Franke C, Lüthen R, Yang Q, Reinhold C: Time-trends in the epidemiology of peptic ulcer bleeding.Scand J Gastroenterol 2005,40(8):914–920. 10.1080/00365520510015809View ArticleGoogle Scholar
van Leerdam ME: Epidemiology of acute upper gastrointestinal bleeding.Best Pract Res Clin Gastroenterol 2008,22(2):209–224. 10.1016/j.bpg.2007.10.011View ArticleGoogle Scholar
Laine L, Yang H, Chang S-C, Datto C: Trends for incidence of hospitalization and death due to GI complications in the United States from 2001 to 2009.Am J Gastroenterol 2012,107(8):1190–1195. 10.1038/ajg.2012.168View ArticleGoogle Scholar
Zuccaro G: Epidemiology of lower gastrointestinal bleeding.Best Pract Res Clin Gastroenterol 2008,22(2):225–232. 10.1016/j.bpg.2007.10.009View ArticleGoogle Scholar
Luo J-C, Leu H-B, Huang K-W, Huang C-C, Hou M-C, Lin H-C, Lee FY, Lee SD: Incidence of bleeding from gastroduodenal ulcers in patients with end-stage renal disease receiving hemodialysis.Can Med Assoc J 2011,183(18):E1345-E1351. 10.1503/cmaj.110299View ArticleGoogle Scholar
Yang J-Y, Lee T-C, Montez-Rath ME, Paik J, Chertow GM, Desai M, Winkelmayer WC: Trends in acute nonvariceal upper gastrointestinal bleeding in dialysis patients.J Am Soc Nephrol 2012,23(3):495–506. 10.1681/ASN.2011070658View ArticleGoogle Scholar
Treatment of End-Stage Organ Failure in Canada, 1999 to 2008—CORR 2010 Annual Report. CIHI, Ottawa, Ontario; 2010.Google Scholar
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.Ann Intern Med 2007,147(8):573–577. 10.7326/0003-4819-147-8-200710160-00010View ArticleGoogle Scholar
Data Quality Study on the Canadian Organ Replacement Register. CIHI, Ottawa, Onatrio; 2009.Google Scholar
Moist LM, Richards HA, Miskulin D, Lok CE, Yeates K, Garg AX, Trpeski L, Chapman A, Amuah J, Hemmelgarn BR: A validation study of the canadian organ replacement register.Clin J Am Soc Nephrol 2011,6(4):813–818. 10.2215/CJN.06680810View ArticleGoogle Scholar
Levy A, O'Brien B, Sellors C, Grootendorst P, Willison D: Coding accuracy of administrative drug claims in the Ontario Drug Benefit database.Can J Clin Pharmacol 2003,10(2):67–71.Google Scholar
Garg AX, Meirambayeva A, Huang A, Kim J, Prasad GVR, Knoll G, Boudville N, Lok C, McFarlane P, Karpinski M, Storsley L, Klarenbach S, Lam N, Thomas SM, Dipchand C, Reese P, Doshi M, Gibney E, Taub K, Young A: Cardiovascular disease in kidney donors: matched cohort study. BMJ 2012, 1(344):e1203.Google Scholar
Kitchlu A, Clemens K, Gomes T, Hackam DG, Juurlink DN, Mamdani M, Manno M, Oliver MJ, Quinn RR, Suri RS, Wald R, Yan AT, Garg AX: Beta-blockers and cardiovascular outcomes in dialysis patients: a cohort study in Ontario, Canada.Nephrol Dial Transplant 2012,27(4):1591–1598. 10.1093/ndt/gfr460View ArticleGoogle Scholar
Lam NN, Jain AK, Hackam DG, Cuerden MS, Suri RS, Huo CY, Li P, Clark WF, Garg AX: Results of a randomized controlled trial on statin use in dialysis patients had no influence on statin prescription.Kidney Int 2009,76(11):1172–1179. 10.1038/ki.2009.323View ArticleGoogle Scholar
Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJGM, Lip GYH: A novel user-friendly score (has-bled) to assess 1-year risk of major bleeding in patients with atrial fibrillation: The euro heart survey.Chest 2010,138(5):1093–1100. 10.1378/chest.10-0134View ArticleGoogle Scholar
Arnason T, Wells PS, van Walraven C, Forster AJ: Accuracy of coding for possible warfarin complications in hospital discharge abstracts.Thromb Res 2006,118(2):253–262. 10.1016/j.thromres.2005.06.015View ArticleGoogle Scholar
Kokotailo RA, Hill MD: Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10.Stroke 2005,36(8):1776–1781. 10.1161/01.STR.0000174293.17959.a1View ArticleGoogle Scholar
Hemmelgarn BR, Manns BJ, Quan H, Ghali WA: Adapting the charlson comorbidity index for use in patients with ESRD.Am J Kidney Dis 2003,42(1):125–132. 10.1016/S0272-6386(03)00415-3View ArticleGoogle Scholar
Holden RM, Harman GJ, Wang M, Holland D, Day AG: Major bleeding in hemodialysis patients.Clin J Am Soc Nephrol 2008,3(1):105–110. 10.2215/CJN.01810407View ArticleGoogle Scholar
Bonita R, Kjellstrom T: Basic Epidemiology. World Health Organization (WHO) Press, Geneva; 2006.Google Scholar
Hernández-Dı́az S, Rodrı́guez LAG: Incidence of serious upper gastrointestinal bleeding/perforation in the general population: Review of epidemiologic studies.J Clin Epidemiol 2002,55(2):157–163. 10.1016/S0895-4356(01)00461-9View ArticleGoogle Scholar
Feinman M, Haut ER: Upper gastrointestinal bleeding.Surg Clin North Am 2014,94(1):43–53. 10.1016/j.suc.2013.10.004View ArticleGoogle Scholar
Haimanot Wasse DLG, Ball AM, Kestenbaum BR, Seliger SL, Donald S, Stehman-Breen CO: Risk factors for upper gastrointestinal bleeding among end-stage renal disease patients.Kidney Int 2003, 64: 1455–1461. 10.1046/j.1523-1755.2003.00225.xView ArticleGoogle Scholar
Sakhuja A, Schold JD, Kumar G, Katzan I, Navaneethan SD: Nontraumatic subarachnoid hemorrhage in maintenance dialysis hospitalizations: trends and outcomes.Stroke 2014,45(1):71–76. 10.1161/STROKEAHA.113.003012View ArticleGoogle Scholar
Østbye T, Levy AR, Mayo NE: Hospitalization and case-fatality rates for subarachnoid hemorrhage in Canada from 1982 through 1991: the Canadian Collaborative Study Group of Stroke Hospitalizations.Stroke 1997,28(4):793–798. 10.1161/01.STR.28.4.793View ArticleGoogle Scholar
Razavi F, Gross S, Katz S: Endoscopy in the elderly: risks, benefits, and yield of common endoscopic procedures.Clin Geriatr Med 2014,30(1):133–147. 10.1016/j.cger.2013.10.010View ArticleGoogle Scholar
Perl J, Wald R, McFarlane P, Bargman JM, Vonesh E, Na Y, Jassal SV, Moist L: Hemodialysis vascular access modifies the association between dialysis modality and survival.J Am Soc Nephrol 2011,22(6):1113–1121. 10.1681/ASN.2010111155View ArticleGoogle Scholar
Sood MM, Komenda P, Tangri N: Anticoagulation in patients with kidney disease: one size does not fit all.Thromb Res 2013,131(6):469–471. 10.1016/j.thromres.2013.02.016View ArticleGoogle Scholar
Sood M, Tangri N: Atrial fibrillation and chronic kidney disease.N Engl J Med 2012,367(22):2157–2159. 10.1056/NEJMc1212362View ArticleGoogle Scholar
Sood MM, Rigatto C, Bueti J, Lang C, Miller L, PonnamPalam A, Reslerova M, Sood A, Komenda P: Thrice weekly warfarin administration in haemodialysis patients.Nephrol Dial Transplant 2009,24(10):3162–3167. 10.1093/ndt/gfp252View ArticleGoogle Scholar
Hiremath S, Holden RM, Fergusson D, Zimmerman DL: Antiplatelet medications in hemodialysis patients: a systematic review of bleeding rates.Clin J Am Soc Nephrol 2009,4(8):1347–1355. 10.2215/CJN.00810209View ArticleGoogle Scholar
Miller L, Sood M, Sood A, Reslerova M, Komenda P, Rigatto C, Bueti J: Cardiovascular disease in end-stage renal disease: the challenge of assessing and managing cardiac disease in dialysis patients.Int Urol Nephrol 2010,42(4):1007–1014. 10.1007/s11255-010-9857-xView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
