Literature DB >> 23130165

Impact of chronic kidney disease on risk of incident atrial fibrillation and subsequent survival in medicare patients.

Sarah E Nelson1, Gautam R Shroff, Shuling Li, Charles A Herzog.   

Abstract

BACKGROUND: Atrial fibrillation (AF) and chronic kidney disease (CKD) are prevalent in the elderly and are independently associated with increased risk of death. We evaluated risk of incident AF with advancing CKD and examined the mortality rate associated with CKD after incident AF in elderly patients. METHODS AND
RESULTS: This retrospective cohort study used the Medicare 5% database. Point-prevalent Medicare enrollees on December 31, 2006, without preexistent AF or end-stage renal disease were followed up for incident AF through 2008. CKD and AF were identified from International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Associations between CKD stage and incident AF and subsequent risk of death were examined in a Cox proportional-hazards model. Unadjusted survival after incident AF was estimated by the Kaplan-Meier method. CKD was present in 55 962 patients (5.1% of the cohort). Of these, 4952 (8.8%) had CKD stages 1 and 2; 19 795 (35.3%), stages 3 to 5; and 31 215 (55.7%), unknown stage. The hazard ratio for incident AF in CKD stages 3 to 5 was 1.13 (95% confidence interval 1.09 to 1.18). Other stages were not independently associated with incident AF. Survival after incident AF decreased progressively as CKD stage increased (P<0.0001). The 1-year mortality rate for CKD stages 3 to 5 with incident AF was 35.6%. Adjusted hazard ratios for death after incident AF were 1.14 (95% confidence interval 1.00 to 1.30) for CKD stages 1 and 2, 1.27 (95% confidence interval 1.20 to 1.35) for CKD stages 3 to 5, and 1.29 (95% confidence interval 1.23 to 1.36) for unknown stage.
CONCLUSIONS: Advanced CKD is associated with increased risk of incident AF. In Medicare patients with incident AF, mortality rates are higher for those with advanced CKD than for those without CKD. (J Am Heart Assoc. 2012;1:e002097 doi: 10.1161/JAHA.112.002097.).

Entities:  

Keywords:  atrial fibrillation; chronic kidney disease; epidemiology; mortality

Year:  2012        PMID: 23130165      PMCID: PMC3487349          DOI: 10.1161/JAHA.112.002097

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

The US subpopulation ≥65 years of age is expected to constitute up to 20% of the total US population by 2050.[1] Chronic kidney disease (CKD) currently affects nearly 8 million Americans and 8.5% of the Medicare population.[2-3] Atrial fibrillation (AF) is the most common rhythm abnormality in patients with CKD.[4] It is estimated that ≍19% to 24% of patients with CKD are diagnosed with AF, and the combined prevalence of these conditions has increased over time. CKD and AF share common risk factors, including preexisting cardiovascular disease and increasing age.[5-6] Both AF and CKD confer a significant morbidity burden and are independently associated with increased risk of death.[7-8] AF is associated with a 4- to 5-fold increased risk of stroke[9] and an ≍2-fold increased risk of death after adjustment for other cardiac conditions.[10] CKD is independently associated with an increased risk of all-cause death.[6,8] Few studies have examined CKD as a risk factor for incident AF in elderly patients. Recently, a mortality link was demonstrated between AF and decreasing glomerular filtration rates.[11] In a large retrospective cohort of Medicare patients, we sought to examine the relationship between advancing CKD stage and incidence of AF and the association between incident AF and subsequent death in patients with CKD. We hypothesized that incidence of AF is higher in patients with advancing CKD stages and that development of AF would be associated with increased risk of death in patients with advancing CKD.

Methods

Data Source, Study Population, and Study Period

The Medicare 5% database is a rolling replacement cohort released yearly by the Centers for Medicare and Medicaid Services. It is composed of a random sample of 5% of all Medicare beneficiaries; included patients are followed up until death, and new patients are added yearly.[12] The study cohort included point-prevalent Medicare enrollees on December 31, 2006, who were enrolled continuously in Medicare with inpatient/outpatient and physician/supplier coverage in 2006; were ≥66 years of age on December 31, 2006; and were residents of the 50 states, the District of Columbia, Puerto Rico, or the Territories. Patients with end-stage renal disease (ESRD) or preexistent AF, patients enrolled in a health maintenance organization in 2006, and patients whose Medicare coverage changed were excluded. The study period for assessing incident AF consisted of a 12-month baseline period and a maximum 2-year follow-up period. The baseline period was calendar year 2006, during which demographics, AF, CKD, and comorbid conditions were defined. Follow-up started on January 1, 2007, and ended at the earliest of the following events: incident AF, death, ESRD diagnosis, change in enrollment status, or December 31, 2008. All patients with incident AF during the follow-up period were included in the analysis for subsequent survival. During the baseline period of 12 months before the date of incident AF, CKD stage and comorbid conditions were ascertained. Follow-up began on the date of incident AF and ended at the earliest of the following events: death, ESRD diagnosis, or December 31, 2008. The maximum follow-up time was 2 years for patients with incident AF on January 1, 2007, and <2 years for patients with incident AF after January 1, 2007.

Definition of Study Variables

Patients with preexisting AF were identified by at least one Part A inpatient, skilled nursing facility, or home health claim or two Part A outpatient or Part B claims on different days within a 12-month interval, carrying the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code for AF (427.3x). Using the same algorithm for inpatient and outpatient claims, we subsequently identified patients with CKD according to the ICD-9-CM diagnosis codes listed in Table 1. The 5 stages of CKD were defined by ICD-9-CM codes 585.1–585.5, and code 585.9 was used for CKD stage unspecified/unknown. Comorbid conditions were identified similarly; Table 2 lists the relevant ICD-9-CM diagnosis codes. Date of incident AF was defined as the earliest date of a claim carrying the diagnosis code. Date of death was tracked directly from the 5% Medicare sample, and ESRD was defined via linkage to the United States Renal Data System ESRD registry.
Table 1.

ICD-9-CM Codes Used to Define CKD

DiseaseICD-9-CM Diagnosis Codes
Renal tuberculosis016.0
Syphilis of kidney095.4
Kidney, except pelvis189.0
Urinary organ, site unspecified189.9
Kidney except pelvis223.0
Kidney and ureter236.91
Diabetes with renal manifestations250.4
Renal glycosuria271.4
Gouty nephropathy274.1
Hemolytic-uremic syndrome283.11
Hypertensive chronic kidney disease403.x1
Hypertensive heart and chronic kidney disease404.x2-3
Atherosclerosis of renal artery440.1
Hyperplasia of renal artery447.3
Hepatorenal syndrome572.4
Acute glomerulonephritis580
Nephrotic syndrome581
Chronic glomerulonephritis582
Glomerulonephritis or nephropathy NOS583
Acute renal failure584
Renal failure NOS586
Renal sclerosis587
Disorders resulting from impaired renal function588
Hydronephrosis591
Hypertension secondary to renal disease complicating pregnancy, childbirth, and the puerperium642.1
Unspecified renal disease in pregnancy, without mention of hypertension646.2
Polycystic kidney, unspecified type753.12 to 753.17
Other specified cystic kidney disease753.19
Obstructive defects of renal pelvis and ureter753.2
Kidney, abnormal renal function test794.4

CKD indicates chronic kidney disease; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; and NOS, not otherwise specified.

Table 2.

ICD-9-CM Codes Used to Define Comorbid Conditions

DiseaseICD-9-CM Diagnosis CodesICD-9-CM V Codes
MI410; 412
CHF398.91; 422; 425; 428; 402.X1; 404.x1; 404.x3V42.1
Other ASHD411; 413; 414V45.81; V45.82
Cardiac (other)420 to 421; 423 to 424; 429; 785.0 to 785.3V42.2; V43.3
CVA/TIA430 to 438
PVD440 to 444; 447; 451 to 453; 557
Anemia280 to 285
Cancer140 to 172; 174 to 208; 230 to 231; 233 to 234
COPD491 to 494; 496; 510
Diabetes250; 357.2; 362.0x; 366.41
GI disease456.0 to 456.2; 530.7; 531 to 534; 569.84; 569.85; 578
Hypertension362.11; 401.x to 405.x; 437.2
Liver disease570; 571; 572.1; 572.4; 573.1 to 573.3V42.7

ASHD indicates atherosclerotic heart disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; CVA/TIA, cerebrovascular accident/transient ischemic attack; GI, gastrointestinal; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; MI, myocardial infarction; and PVD, peripheral vascular disease.

ICD-9-CM Codes Used to Define CKD CKD indicates chronic kidney disease; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; and NOS, not otherwise specified. ICD-9-CM Codes Used to Define Comorbid Conditions ASHD indicates atherosclerotic heart disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; CVA/TIA, cerebrovascular accident/transient ischemic attack; GI, gastrointestinal; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; MI, myocardial infarction; and PVD, peripheral vascular disease.

Statistical Analysis

Demographic characteristics and baseline comorbid conditions are presented as percentages and are compared among CKD stages with the χ2 test. Incidence of AF during the 2-year follow-up period and survival after incident AF with varying stages of CKD were estimated with the Kaplan-Meier method and were compared with the log-rank test. A multivariable Cox proportional-hazards model was used to assess the association between CKD stages and risk of incident AF and subsequent risk of death. The assumption of proportionality of the hazards was assessed through visual inspection. The covariates included in the model were baseline demographics and comorbid conditions. Possible effect modifiers of the association between CKD and incident AF and subsequent death were evaluated with adjustment for all other variables. Analyses were performed in SAS version 9.1 (SAS Institute, Cary, NC).

Results

The 2006 Medicare cohort comprised 1 092 649 patients, of whom 55 962 (5.1%) had a diagnosis of CKD. Among the patients with CKD, 4952 (8.8%) had stages 1 and 2; 19 795 (35.3%), stages 3 to 5; and 31 215 (55.7%), unknown stage. Baseline characteristics are shown in Table 3. Compared with the non-CKD population, the CKD population included a significantly lower proportion of women (50% to 53% versus 60%, P<0.0001) and a higher proportion of black patients (12% to 15% versus 7%, P<0.0001). All comorbid conditions studied were significantly more prevalent in the CKD population and more prevalent with advancing CKD stages. In particular, prevalences of myocardial infarction, anemia, and congestive heart failure were almost 4-fold higher in the CKD than in the non-CKD population, and prevalences of other atherosclerotic heart disease, cerebrovascular accident/transient ischemic attack, diabetes, and hypertension were almost double (P<0.0001 for all comparisons).
Table 3.

Baseline Patient Characteristics by CKD Stage Among Point-Prevalent Medicare Patients on December 31, 2006, Without AF or ESRD in 2006

CKD Stage
CharacteristicsAllNone1 and 23 to 5UnknownP
Sample size, n1 092 6491 036 687495219 79531 215
Age, y<0.0001
66 to 6923.323.717.514.314.6
70 to 7425.125.422.921.819.7
75 to 7921.321.322.924.022.2
80 to 8416.115.917.821.320.7
≥8514.213.819.018.722.8
Sex<0.0001
Men40.840.450.148.946.6
Women59.259.649.951.153.4
Race<0.0001
White87.687.879.681.383.4
Black7.67.414.913.411.5
Other4.84.85.65.35.1
Comorbid conditions
MI2.31.96.88.110.1<0.0001
Other ASHD17.316.038.541.741.0<0.0001
CHF6.75.624.228.927.8<0.0001
CVA/TIA7.36.716.516.319.4<0.0001
PAD9.88.724.628.031.5<0.0001
Other cardiac9.28.421.522.223.7<0.0001
Anemia12.310.443.256.840.7<0.0001
Cancer9.69.115.215.721.9<0.0001
COPD11.210.521.120.424.6<0.0001
Diabetes20.419.048.249.544.3<0.0001
GI bleeding2.52.26.76.98.5<0.0001
Hypertension54.953.090.893.786.4<0.0001
Liver disease0.70.61.61.71.7<0.0001

Unless otherwise indicated, values are percentages.

AF indicates atrial fibrillation; ASHD, atherosclerotic heart disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; CVA/TIA, cerebrovascular accident/transient ischemic attack; CKD, chronic kidney disease; ESRD, end-stage renal disease; GI, gastrointestinal; MI, myocardial infarction; and PAD, peripheral arterial disease.

Baseline Patient Characteristics by CKD Stage Among Point-Prevalent Medicare Patients on December 31, 2006, Without AF or ESRD in 2006 Unless otherwise indicated, values are percentages. AF indicates atrial fibrillation; ASHD, atherosclerotic heart disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; CVA/TIA, cerebrovascular accident/transient ischemic attack; CKD, chronic kidney disease; ESRD, end-stage renal disease; GI, gastrointestinal; MI, myocardial infarction; and PAD, peripheral arterial disease. During the 2-year follow-up period, 79 135 patients were diagnosed with incident AF; incidence was higher in the CKD than in the non-CKD population. The estimated 2-year incidence of AF was 12.2% for patients with CKD stages 1 and 2, 14.4% for stages 3 to 5, and 13.4% for unknown stage, compared with 7.5% for patients without CKD (P<0.0001). The median follow-up time for incident AF was 24 months for patients without CKD and for each subgroup of patients with CKD. Table 4 presents the adjusted hazard ratios (HRs) of incident AF for patients with CKD by stage compared with patients without CKD. CKD stages 3 to 5 were modestly but significantly associated with incident AF (HR 1.13, 95% confidence interval [CI] 1.09 to 1.18). Increased age was strongly associated with a higher independent hazard of incident AF. Age 75 to 79 years was associated with a 2-fold higher risk and age ≥85 years with a 3.7-fold higher risk of incident AF. Female sex (HR 0.76, 95% CI 0.74 to 0.77) and black race (HR 0.64, 95% CI 0.62 to 0.66) were inversely associated with incident AF. With regard to comorbid conditions, congestive heart failure (HR 1.81, 95% CI 1.77 to 1.85) was most strongly associated with incident AF; other atherosclerotic heart disease, chronic obstructive pulmonary disease, and diabetes also were associated strongly with incident AF.
Table 4.

Cox Proportional-Hazards Model Results for the Association Between CKD, by Stage, and Risk of Incident AF and Subsequent Survival

Incident AFDeath After AF
CharacteristicsHR (95% CI)PHR (95% CI)P
Sample size, n1,092,64979,135
CKD status
NoneReferenceReference
Stages 1 and 21.02 (0.94 to 1.11)0.67941.14 (1.00 to 1.30)0.0426
Stages 3 to 51.13 (1.09 to 1.18)<0.00011.27 (1.20 to 1.35)<0.0001
Stage unknown1.00 (0.97 to 1.04)0.90891.29 (1.23 to 1.36)<0.0001
Age, y
66 to 69ReferenceReference
70 to 741.42 (1.38 to 1.46)<0.00011.16 (1.07 to 1.25)0.0003
75 to 792.01 (1.96 to 2.06)<0.00011.38 (1.28 to 1.48)<0.0001
80 to 842.66 (2.59 to 2.73)<0.00011.89 (1.75 to 2.03)<0.0001
≥853.66 (3.57 to 3.76)<0.00013.31 (3.09 to 3.55)<0.0001
Sex
MenReferenceReference
Women0.76 (0.74 to 0.77)<0.00010.96 (0.93 to 0.99)0.0053
Race
WhiteReferenceReference
Black0.64 (0.62 to 0.66)<0.00011.17 (1.10 to 1.24)<0.0001
Other0.63 (0.60 to 0.65)<0.00011.03 (0.95 to 1.11)0.503
Comorbid conditions
MI0.86 (0.83 to 0.89)<0.00011.21 (1.14 to 1.27)<0.0001
Other ASHD1.33 (1.31 to 1.36)<0.00010.80 (0.77 to 0.83)<0.0001
CHF1.81 (1.77 to 1.85)<0.00011.52 (1.47 to 1.57)<0.0001
CVA/TIA1.07 (1.05 to 1.10)<0.00011.20 (1.16 to 1.25)<0.0001
PAD1.25 (1.22 to 1.27)<0.00011.14 (1.10 to 1.18)<0.0001
Other cardiac1.45 (1.42 to 1.48)<0.00010.92 (0.88 to 0.95)<0.0001
Anemia1.05 (1.03 to 1.07)<0.00011.43 (1.38 to 1.48)<0.0001
Cancer1.07 (1.04 to 1.09)<0.00011.57 (1.52 to 1.63)<0.0001
COPD1.26 (1.24 to 1.29)<0.00011.59 (1.54 to 1.65)<0.0001
Diabetes1.16 (1.14 to 1.18)<0.00011.12 (1.08 to 1.16)<0.0001
GI bleeding0.94 (0.90 to 0.98)0.00321.11 (1.05 to 1.18)0.0005
Hypertension1.09 (1.07 to 1.11)<0.00010.83 (0.80 to 0.85)<0.0001
Liver disease1.11 (1.02 to 1.20)0.01121.59 (1.42 to 1.79)<0.0001

AF indicates atrial fibrillation; ASHD, atherosclerotic heart disease; CHF, congestive heart failure; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CVA/TIA, cerebrovascular accident/transient ischemic attack; GI, gastrointestinal; HR, hazard ratio; MI, myocardial infarction; and PAD, peripheral arterial disease.

Cox Proportional-Hazards Model Results for the Association Between CKD, by Stage, and Risk of Incident AF and Subsequent Survival AF indicates atrial fibrillation; ASHD, atherosclerotic heart disease; CHF, congestive heart failure; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CVA/TIA, cerebrovascular accident/transient ischemic attack; GI, gastrointestinal; HR, hazard ratio; MI, myocardial infarction; and PAD, peripheral arterial disease. Of patients with incident AF during 2007–2008, 18 525 died during the follow-up period. Median follow-up times for the mortality rate analysis were 11.7, 9.4, 7.2, and 8.3 months for patients without CKD and patients with CKD stages 1 and 2, 3 to 5, and unknown stage, respectively.Figure 1 presents unadjusted estimates of survival after diagnosis of incident AF; survival was significantly reduced in patients with CKD compared with patients without CKD. At 12 months, survival was 79.3% for patients without CKD, 68.3% for patients with CKD stages 1 and 2, 64.4% for patients with stages 3 to 5, and 63.4% for patients with unknown stage. Corresponding values at 24 months were 70.7%, 54.9%, 52.9%, and 51.1%. P value for the log-rank test was <0.0001 for all comparisons.
Figure 1.

Unadjusted survival probability after incident AF by CKD stage in Medicare patients with AF in 2007–2008.

Unadjusted survival probability after incident AF by CKD stage in Medicare patients with AF in 2007–2008. The hazard of death was significantly higher for patients with CKD than for patients without CKD with incident AF, and the hazard was higher with advancing CKD stages. The hazards for stages 3 to 5 (HR 1.27, 95% CI 1.20 to 1.35) and unknown stage (HR 1.29, 95% CI 1.23 to 1.36) were higher than for stages 1 and 2 (HR 1.14, 95% CI 1.00 to 1.30) (Table 4). Increasing age also was associated with higher mortality hazards in patients with CKD with incident AF; HRs (95% CI) were 1.89 (1.75 to 2.03) for ages 80 to 84 years and 3.31 (3.09 to 3.55) for age ≥85 years. Comorbid conditions associated with the highest mortality hazard in patients with CKD and AF were congestive heart failure (HR 1.52, 95% CI 1.47 to 1.57), chronic obstructive pulmonary disease (HR 1.59, 95% CI 1.54 to 1.65), liver disease (HR 1.59, CI 1.42 to 1.79), and anemia (HR 1.43, 95% CI 1.38 to 1.48). Hypertension (HR 0.83, 95% CI 0.80 to 0.85) and atherosclerotic heart disease (HR 0.80 95% CI 0.77 to 0.83), when evaluated as comorbid conditions, were associated with reduced mortality rate in patients with CKD and AF. Hypertension was evaluated across CKD stages and various demographic subcategories; hypertension consistently showed a protective effect with regard to survival compared with absence of hypertension. The effect modifications of several important covariates on the association between CKD and AF and subsequent death were evaluated with additional analysis. Age was the most important effect modifier (Table 5). The association between CKD stage and incident AF was strongest in the younger age group and was attenuated and reversed in the older age group. In the age group ≥85 years, patients with CKD had significantly lower risk of AF than patients without CKD. A similar trend was noted in the association of CKD stage and risk of death after incident AF. This association was highest in the group 66 to 69 years of age and progressively diminished until it became borderline significant in the group ≥85 years of age. On evaluation of race as a modifier, the risk of incident AF was similar in other CKD subgroups but was higher for black patients with unknown CKD stage (HR 1.26, CI 1.12 to 1.41). The risk of death associated with AF was significantly higher for white patients with CKD stages 3 to 5 (HR 1.26, CI 1.19 to 1.34) and unknown stage (HR 1.33, CI 1.26 to 1.41) but was not statistically significant for black patients in any CKD group (Table 6). The effect of CKD on incident AF was similar for men and women, but the effect on mortality rate after AF was stronger in women. The strength of the association between CKD and risk of AF was stronger in patients without hypertension but was attenuated and not statistically significant in patients with hypertension. Patients with CKD had a higher risk of death after AF than did patients without CKD, and the risk was elevated in the absence of hypertension.
Table 5.

Association of CKD Stage and Risk of AF and Subsequent Death by Age

Age in Years, HR (95% CI)
66 to 6970 to 7475 to 7980 to 84≥85Overall, HR (95% CI)
Risk of AF
No CKDReferenceReferenceReferenceReferenceReferenceReference
Stages 1 and 21.61 (1.26 to 2.06)1.05 (0.85 to 1.30)1.04 (0.87 to 1.24)0.94 (0.78 to 1.13)0.90 (0.77 to 1.06)1.02 (0.94 to 1.11)
Stages 3 to 51.62 (1.41 to 1.85)1.40 (1.27 to 1.54)1.25 (1.16 to 1.36)1.05 (0.97 to 1.14)0.89 (0.82 to 0.96)1.13 (1.09 to 1.18)
Stage unknown1.44 (1.29 to 1.61)1.28 (1.18 to 1.39)1.09 (1.01 to 1.17)0.96 (0.90 to 1.03)0.80 (0.75 to 0.85)1.00 (0.97 to 1.04)
Risk of death after AF
No CKDReferenceReferenceReferenceReferenceReferenceReference
Stages 1 and 21.69 (1.02 to 2.83)1.29 (0.87 to 1.90)1.53 (1.13 to 2.07)1.21 (0.92 to 1.60)0.94 (0.77 to 1.15)1.14 (1.00 to 1.30)
Stages 3 to 51.80 (1.40 to 2.32)1.52 (1.29 to 1.78)1.33 (1.17 to 1.52)1.40 (1.25 to 1.56)1.09 (1.00 to 1.19)1.27 (1.20 to 1.35)
Stage unknown1.69 (1.36 to 2.11)1.84 (1.60 to 2.11)1.66 (1.48 to 1.85)1.22 (1.10 to 1.35)1.09 (1.02 to 1.18)1.29 (1.23 to 1.36)

AF indicates atrial fibrillation; CKD, chronic kidney disease.

Table 6.

Association of CKD Stage and Risk of AF and Subsequent Death by Race, Sex, and Hypertension Status

Race, HR (95% CI)Sex, HR (95% CI)Hypertension Status, HR (95% CI)
WhiteBlackOtherOverallMenWomenOverallNoYesOverall
Risk of AF
No CKDReferenceReferenceReferenceReferenceReferenceReferenceReferenceReferenceReferenceReference
Stages 1 and 21.02 (0.93 to 1.11)0.98 (0.73 to 1.31)1.20 (0.80 to 1.80)1.02 (0.94 to 1.11)0.98 (0.87 to 1.10)1.07 (0.94 to 1.21)1.02 (0.94 to 1.11)1.70 (1.33 to 2.17)0.97 (0.88 to 1.32)1.02 (0.94 to 1.11)
Stages 3 to 51.14 (1.09 to 1.19)1.15 (1.00 to 1.33)1.01 (0.81 to 1.25)1.13 (1.09 to 1.18)1.11 (1.05 to 1.17)1.16 (1.10 to 1.24)1.13 (1.09 to 1.18)1.64 (1.42 to 1.90)1.10 (1.06 to 1.33)1.13 (1.09 to 1.18)
Stage unknown0.98 (0.94 to 1.02)1.26 (1.12 to 1.41)1.12 (0.94 to 1.33)1.00 (0.97 to 1.04)0.93 (0.88 to 0.97)1.08 (1.03 to 1.14)1.00 (0.97 to 1.04)1.08 (0.98 to 1.20)0.99 (0.96 to 1.34)1.00 (0.97 to 1.04)
Risk of death after AF
No CKDReferenceReferenceReferenceReferenceReferenceReferenceReferenceReferenceReferenceReference
Stages 1 and 21.16 (1.01 to 1.34)1.05 (0.71 to 1.54)0.85 (0.35 to 2.06)1.14 (1.00 to 1.30)1.01 (0.83 to 1.23)1.28 (1.08 to 1.53)1.14 (1.00 to 1.30)1.08 (0.72 to 1.61)1.15 (1.00 to 1.32)1.14 (1.00 to 1.30)
Stages 3 to 51.26 (1.19 to 1.34)1.03 (0.85 to 1.25)2.15 (1.69 to 2.75)1.27 (1.20 to 1.35)1.20 (1.10 to 1.30)1.34 (1.24 to 1.45)1.27 (1.20 to 1.35)1.49 (1.22 to 1.83)1.25 (1.18 to 1.33)1.27 (1.20 to 1.35)
Stage unknown1.33 (1.26 to 1.41)1.06 (0.90 to 1.25)0.96 (0.73 to 1.25)1.29 (1.23 to 1.36)1.26 (1.17 to 1.35)1.32 (1.24 to 1.42)1.29 (1.23 to 1.36)1.42 (1.24 to 1.62)1.27 (1.21 to 1.34)1.29 (1.23 to 1.36)

AF indicates atrial fibrillation; CKD, chronic kidney disease; and HR, hazard ratio.

Association of CKD Stage and Risk of AF and Subsequent Death by Age AF indicates atrial fibrillation; CKD, chronic kidney disease. Association of CKD Stage and Risk of AF and Subsequent Death by Race, Sex, and Hypertension Status AF indicates atrial fibrillation; CKD, chronic kidney disease; and HR, hazard ratio.

Discussion

In this large retrospective cohort study of Medicare patients, we found that advanced CKD is an independent risk factor for incident AF. Moreover, we demonstrated that incident AF in patients with advanced CKD is associated with a significantly increased 2-year mortality rate relative to patients without CKD. These observations are extremely relevant to the care of this elderly population and deserve close attention. Data on the incidence of AF in patients with CKD are limited. Horio et al[12] conducted a study of 1118 hypertensive patients from a single region in Japan and reported an increase in incident AF in hypertensive patients with CKD (adjusted HR 2.18, 95% CI 1.2 to 3.9). Similar to our findings, the relationship was statistically significant only among patients with advanced CKD (stages 4 and 5). Alonso et al[13] reported a significant and progressively higher risk of incident AF with advancing CKD in 10 328 patients from varying ethnic backgrounds in the Atherosclerosis Risk In Communities Study. HRs reported with estimated glomerular filtration rate (eGFR) 15 to 29 and 30 to 59 mL/min per 1.73 m2 (equivalent to CKD stages 3 to 5) were 3.2 (95% CI 2.0 to 5.0) and 1.6 (95% CI 1.3 to 2.1), respectively.[13] The observations from our study are complementary to those reported previously[12-13] and validate the association between advanced CKD and incident AF in a large, elderly, and predominantly white population. Several hypotheses have been offered to explain the relationship between CKD and increased rates of incident AF. Neurohormonal activation has been implicated in the progression of renal failure and the development of cardiovascular sequelae. Activation of the renin-angiotensin-aldosterone system in patients with CKD has been widely studied with regard to hypertension; angiotensin also has been shown to increase cardiac fibroblast proliferation and cardiac hypertrophy.[14-15] Moreover, use of spironolactone has been associated with a reduced burden of AF, presumably related to mineralocorticoid receptor blockade and antifibrotic effects.[16] In addition to the renin-angiotensin-aldosterone system, increased sympathetic activity in patients with CKD has been linked to increased serum concentration of androgenic hormones, and in turn, sympathetic activation has been proposed to contribute to arrhythmogenesis.[14] In addition to neurohormonal activation, inflammation has been proposed as a contributor to increased incident AF in patients with CKD. Inflammatory markers such as C-reactive protein are elevated in patients with CKD and have been reported in association with incident AF. This observation is strengthened by findings of inflammatory changes in cardiac biopsy specimens from patients with AF.[17] Furthermore, structural abnormalities, such as increasing left atrial diameter and left ventricular hypertrophy related to CKD, have been associated with increased risk of incident AF.[17] L'Allier et al[18] reported decreased incident AF among 10 926 hypertensive patients treated with angiotensin-converting enzyme inhibitors versus calcium channel blockers. These physiological changes could potentiate incident AF and therefore could have important implications pertaining to pharmacological management. In a large meta-analysis of several randomized controlled trials, Wang et al[19] demonstrated that statin use is associated with significantly reduced risk of AF. Future studies should evaluate the role of inhibitors of the renin-angiotensin-aldosterone system and antiinflammatory medications (eg, statins) in reducing the burden of AF in this high-risk population. Importantly, the present study provides compelling data indicating that patients with advancing CKD and incident AF have a significantly increased risk of death. A small number of studies have previously evaluated this association in patients with renal disease. Nakagawa et al[11] published data from 387 Japanese patients without ESRD or renal transplant from a single center. The authors reported increased mortality rates among patients with nonvalvular AF and decreased eGFR. The HRs for all-cause death were 2.8 (95% CI 1.3 to 5.8) for patients with eGFR <60 mL/min per 1.73 m2 and CHADS2 score <2 and 6.9 (95% CI 3.5 to 13.5) for patients with eGFR <60 mL/min per 1.73 m2 and CHADS2 score ≥2.[11] Although no distinction was made among patients with varying degrees of eGFR reduction in this selected population, the nearly 7-fold increase in the hazard for all-cause death in patients with higher thromboembolic risk scores deserves attention. Genovesi et al[20] studied 476 patients with ESRD from 5 dialysis centers in one region of Italy and found that patients with AF had a 65% higher relative risk of death than patients without AF. Our study findings underscore the significant relation between the combination of CKD, especially more advanced CKD, and AF and increased mortality rate. Although higher mortality rates in patients with ESRD and AF have been described previously,[21] this association has not been convincingly demonstrated in patients with CKD. Multiple possible pathophysiological mechanisms could underlie these findings. One possible explanation for the higher mortality rate is a higher incidence of stroke in patients with CKD and AF. Hart et al[22] reported a higher rate of ischemic stroke in patients with moderate CKD and AF from the Stroke Prevention in Atrial Fibrillation trials and showed that treatment with warfarin reduced this risk. However, management of AF in patients with CKD is significantly more complex because of the higher bleeding risk related to anticoagulation,[3,23] which also could contribute to the increased observed mortality rate. Nakagawa et al[11] found that patients with CKD, AF, and higher thomboembolic risk scores are at extremely high risk, but any potential contribution of anticoagulation to the increased mortality hazard in this population cannot be determined from this study. A more plausible possibility linking increased mortality rate with CKD and AF is that presence of AF reflects the composite effect of a spectrum of cardiovascular disease mechanisms leading to left atrial enlargement, including vascular stiffness/noncompliance (due to classic atherosclerosis and nonclassic risk factors) present in the metabolic milieu of CKD (ie, abnormal calcium and phosphate metabolism, left ventricular hypertrophy, and sympathetic overactivity). The genesis of AF in patients with CKD is intimately linked with the same mechanisms that predispose these patients to increased risk of cardiovascular death. The importance of increasing age as an independent and powerful predictor of incident AF and of death after AF must be emphasized. Advancing age is associated with an increasing burden of cardiovascular comorbidity, including AF and worsening renal function. In a general Medicare population, Lakshminarayan et al[24] demonstrated a progressively higher prevalence of AF with advancing age. For patients ≥85 years of age, prevalence of AF approached 12% in the Medicare 5% population. In a large population-based cohort, Baber et al[25] showed progressively higher prevalence of AF with worsening stages of CKD; unadjusted rates of AF prevalence were 2.7% to 4.2% in patients with CKD stages 3 to 5. Importantly, however, the age-adjusted odds ratios for prevalent AF remained significantly higher in patients with advanced CKD than in patients without CKD. Important covariates could modify the effect of CKD on incident AF and subsequent death. Interestingly, with increasing age, the association between CKD stage and risk of incident AF and subsequent survival weakened (Table 5). The importance of age as an effect modifier in relation to CKD and cardiovascular outcomes has been evaluated previously. In a large population of patients with CKD, Raymond et al[26] showed that the risk of death was reduced with increasing age in individuals with similar degrees of CKD. Similarly, O'Hare et al[27] found that the association of death and eGFR was stronger in younger patients and became progressively weaker with increasing age. This finding could represent survival bias from observational data; also, with advancing age, the association of CKD as a contributor to increased mortality rate could be diluted by higher background risk of death and comorbidity burden.[27] In evaluating the improved survival rates of black versus white patients with CKD, Kovesdy et al[28] explained these observations by noting differences in clinical characteristics and the fact that higher mortality rates of black patients in earlier CKD stages could lead to a survival bias for patients with fewer comorbid conditions in later CKD stages. Hypertension consistently has been shown to have a protective survival association in the elderly in CKD[27] and non-CKD populations.[29] In our study, we also found a beneficial survival association with hypertension, which could represent beneficial treatment effects of medications such as β-blockers[30] that are used to treat hypertension. Our study is limited in several important ways. The design is observational and retrospective. Although we demonstrate an association between advancing CKD and incident AF and subsequent death, these data do not demonstrate causality. Moreover, because of the large sample size, although some associations are statistically significant, their clinical significance might be relatively modest. Our data source is administrative; clinical data such as left ventricular ejection fraction, left atrial volume, functional class, and laboratory values (eg, serum creatinine) were not available. Additionally, unknown CKD stage lacks specificity, but its association with increased mortality rate and similar event rates suggest that it corresponds more closely to the lower end of the eGFR range, or stages 3 to 5 CKD,[3] and previous studies have validated the high specificity of CKD diagnostic codes for presence of CKD.[31] In conclusion, CKD is an independent risk factor for incident AF, and incident AF is significantly associated with increased mortality rate in Medicare patients with CKD. CKD and AF are coprevalent in the elderly, and our findings have significant implications in this burgeoning population. Future studies should further evaluate the pathophysiological mechanisms underlying these associations. Recognition of these relationships is an important first step toward development of pharmacological strategies to ameliorate the burden of these disease conditions and thereby reduce cardiovascular morbidity and mortality rates in the elderly.
  28 in total

1.  Identification of individuals with CKD from Medicare claims data: a validation study.

Authors:  Wolfgang C Winkelmayer; Sebastian Schneeweiss; Helen Mogun; Amanda R Patrick; Jerry Avorn; Daniel H Solomon
Journal:  Am J Kidney Dis       Date:  2005-08       Impact factor: 8.860

2.  Cardiovascular disease in chronic kidney disease. A clinical update from Kidney Disease: Improving Global Outcomes (KDIGO).

Authors:  Charles A Herzog; Richard W Asinger; Alan K Berger; David M Charytan; Javier Díez; Robert G Hart; Kai-Uwe Eckardt; Bertram L Kasiske; Peter A McCullough; Rod S Passman; Stephanie S DeLoach; Patrick H Pun; Eberhard Ritz
Journal:  Kidney Int       Date:  2011-07-13       Impact factor: 10.612

3.  The increasing prevalence of atrial fibrillation among hemodialysis patients.

Authors:  Wolfgang C Winkelmayer; Amanda R Patrick; Jun Liu; M Alan Brookhart; Soko Setoguchi
Journal:  J Am Soc Nephrol       Date:  2011-01-13       Impact factor: 10.121

4.  Chronic kidney disease awareness, prevalence, and trends among U.S. adults, 1999 to 2000.

Authors:  Josef Coresh; Danita Byrd-Holt; Brad C Astor; Josephine P Briggs; Paul W Eggers; David A Lacher; Thomas H Hostetter
Journal:  J Am Soc Nephrol       Date:  2004-11-24       Impact factor: 10.121

5.  Statin therapy for the prevention of atrial fibrillation: a meta-analysis of randomized controlled trials.

Authors:  Zhongsu Wang; Yong Zhang; Mei Gao; Jiangrong Wang; Qing Wang; Xiaojun Wang; Lequn Su; Yinglong Hou
Journal:  Pharmacotherapy       Date:  2011-11       Impact factor: 4.705

Review 6.  Role of angiotensin system and effects of its inhibition in atrial fibrillation: clinical and experimental evidence.

Authors:  Joachim R Ehrlich; Stefan H Hohnloser; Stanley Nattel
Journal:  Eur Heart J       Date:  2005-11-25       Impact factor: 29.983

7.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

Authors:  Alan S Go; Glenn M Chertow; Dongjie Fan; Charles E McCulloch; Chi-yuan Hsu
Journal:  N Engl J Med       Date:  2004-09-23       Impact factor: 91.245

Review 8.  Dilemmas in the management of atrial fibrillation in chronic kidney disease.

Authors:  Holger Reinecke; Eva Brand; Rolf Mesters; Wolf-Rüdiger Schäbitz; Marc Fisher; Hermann Pavenstädt; Günter Breithardt
Journal:  J Am Soc Nephrol       Date:  2008-12-17       Impact factor: 10.121

9.  Outcomes associated with race in males with nondialysis-dependent chronic kidney disease.

Authors:  Csaba P Kovesdy; John E Anderson; Stephen F Derose; Kamyar Kalantar-Zadeh
Journal:  Clin J Am Soc Nephrol       Date:  2009-04-15       Impact factor: 8.237

10.  Elevated relative mortality risk with mild-to-moderate chronic kidney disease decreases with age.

Authors:  Neil T Raymond; Daniel Zehnder; Stephen C H Smith; Julie A Stinson; Hendrik Lehnert; Robert M Higgins
Journal:  Nephrol Dial Transplant       Date:  2007-07-12       Impact factor: 5.992

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  36 in total

1.  CHADS2 and CHA2DS2-VASc scores are independently associated with incident atrial fibrillation: the Catanzaro Atrial Fibrillation Project.

Authors:  Angela Sciacqua; Maria Perticone; Giovanni Tripepi; Eliezer J Tassone; Antonio Cimellaro; Deborah Mazzaferro; Giorgio Sesti; Francesco Perticone
Journal:  Intern Emerg Med       Date:  2015-05-05       Impact factor: 3.397

2.  Acute kidney injury in critically ill children and 5-year hypertension.

Authors:  Erin Hessey; Sylvie Perreault; Louise Roy; Marc Dorais; Susan Samuel; Véronique Phan; Jean-Philippe Lafrance; Michael Zappitelli
Journal:  Pediatr Nephrol       Date:  2020-03-11       Impact factor: 3.714

Review 3.  Epidemiologic insights on the role of fibroblast growth factor 23 in cardiovascular disease.

Authors:  Julia J Scialla
Journal:  Curr Opin Nephrol Hypertens       Date:  2015-05       Impact factor: 2.894

4.  Association of Sleep Apnea and Snoring With Incident Atrial Fibrillation in the Multi-Ethnic Study of Atherosclerosis.

Authors:  Gen-Min Lin; Laura A Colangelo; Donald M Lloyd-Jones; Susan Redline; Joseph Yeboah; Susan R Heckbert; Saman Nazarian; Alvaro Alonso; David A Bluemke; Naresh M Punjabi; Moyses Szklo; Kiang Liu
Journal:  Am J Epidemiol       Date:  2015-05-13       Impact factor: 4.897

5.  Precision of pulmonary vein diameter measurements assessed by CE-MRA and steady-state-free precession imaging.

Authors:  Michael Groth; Peter Bannas; Marc Regier; Jan H Buhk; Kai Müllerleile; Gerhard Adam; Frank O Henes
Journal:  Eur Radiol       Date:  2012-12-20       Impact factor: 5.315

6.  Warfarin Use and Increased Mortality in End-Stage Renal Disease.

Authors:  Mark C Lin; Elani Streja; Melissa Soohoo; Medhat Hanna; Javad Savoj; Kamyar Kalantar-Zadeh; Wei Ling Lau
Journal:  Am J Nephrol       Date:  2017-09-15       Impact factor: 3.754

Review 7.  Use of oral anticoagulants in patients with atrial fibrillation and renal dysfunction.

Authors:  Tatjana S Potpara; Charles J Ferro; Gregory Y H Lip
Journal:  Nat Rev Nephrol       Date:  2018-03-26       Impact factor: 28.314

Review 8.  Comparisons between novel oral anticoagulants and vitamin K antagonists in patients with CKD.

Authors:  Ziv Harel; Michelle Sholzberg; Prakesh S Shah; Katerina Pavenski; Shai Harel; Ron Wald; Chaim M Bell; Jeffrey Perl
Journal:  J Am Soc Nephrol       Date:  2014-01-02       Impact factor: 10.121

Review 9.  Anemia: An Independent Predictor Of Adverse Outcomes In Older Patients With Atrial Fibrillation.

Authors:  Ali N Ali; Nandkishor V Athavale; Ahmed H Abdelhafiz
Journal:  J Atr Fibrillation       Date:  2016-04-30

10.  Surgeon preference of surgical approach for partial nephrectomy in patients with baseline chronic kidney disease: a nationwide population-based analysis in the USA.

Authors:  Yash S Khandwala; In Gab Jeong; Deok Hyun Han; Jae Heon Kim; Shufeng Li; Ye Wang; Steven L Chang; Benjamin I Chung
Journal:  Int Urol Nephrol       Date:  2017-08-29       Impact factor: 2.370

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