The Blood Urea Nitrogen to Creatinine Ratio Identifies
Transcription
The Blood Urea Nitrogen to Creatinine Ratio Identifies
The Blood Urea Nitrogen to Creatinine Ratio Identifies a High Risk but Potentially Reversible Form of Renal Dysfunction in Patients with Decompensated Heart Failure Brisco et al: BUN/Cr and Reversible Renal Dysfunction Meredith A. Brisco, MD, MSCE*†; Steven G. Coca, DO‡; Jennifer Chen, MD§; Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 Anjali Tiku Owens, MD*; Brian D. McCauley, BS*; Stephen E. Kimmel, MD, MSCE, FAHA*†; Jeffrey M. Testani, MD, MTR‡ * Department of Medicine, dicine, dici ine ne, Ca C Cardiovascular rdio rd ddii vascular l Division, Di i i n, n, andd †Depa Department p rttme m nt of Biostati Biostatistics and lman lm a School Schoool of of Medicine Medicin ne att the thee University Unniv iver e siity er y of of Pennsylvania, Pennsy Pe sylv sy vania iaa, Philadelphia, Epidemiology, Perelman Pennsylvania. ‡Department artment of Internal Intern nal a Medicine Meddiici c ne n aand ndd P Program rroogr gram m ooff Applied Transl Translational l Research, Yale University, New wH Haven Haven, aven av en Co Connecticut C Connecticut. nnec nn ecti ticu ti cutt §De Department D part pa rttme ment nt of of Internal Inte ntern rnal all Medicine, M Medicine edi dici cine ci ne Duke D University School of Medicine, Durham, North Carolina Correspondence to Jeffrey M. Testani, M.D, M.T.R. Yale University School of Medicine 60 Temple Street, Suite 6C New Haven, CT 06510 Tel: 203-737-6627 Fax: 203-764-8873 Email: jeffrey.testani@yale.edu DOI: 10.1161/CIRCHEARTFAILURE.112.968230 Journal Subject Codes: [10] Cardio-renal physiology/pathophysiology, [110] Congestive 2 Abstract Background—Identifying reversible renal dysfunction (RD) in the setting of heart failure (HF) is challenging. The goal of this study was to evaluate if an elevated admission blood urea nitrogen to creatinine ratio (BUN/Cr) could identify decompensated HF patients likely to experience improvement in renal function (IRF) with treatment. Methods and Results—Consecutive hospitalizations with a discharge diagnosis of HF were reviewed. IRF was defined as 20% increase and worsening renal function (WRF) 20% Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 decrease in estimated glomerular filtration rate (eGFR). IRF occurred in 31% of the 896 patients ciated with in-hospital in ho h meeting eligibility criteria. Higher admission BUN/Cr was associated IRF ion ppersisting ersi er s st si stin ingg aafter in f adjustment (OR=1.5 per 10 increase, 95% CI: 1.3-1.8, p<0.001), an association erisstics (OR=1.4, er (OR OR=1 =1 1.4 .4,, 95% 95 5% CI: C : 1.1-1.8, CI 1 11. 1 1.8, p=0.004). p=0 =0.0 004 0 ). However, Hoowe weve ver, ve r, higher hig ighh admission for baseline characteristics s oci sso ciat a ed with at witth post-discharge postt-d po -dis issch char arge ar ge WRF WRF ((OR= OR= OR = 1.4, 1 4, 1. 4 95% 95% CI: CI:: 1.1-1.8, 1.11-1 BUN/Cr was also associated p=0.011). wit ithh an elevated ele levvat ated ed admission adm dmis issi is sion si on BUN/Cr, BUN UN/C /Cr, /C r, the the risk ris iskk of death dea eath th associated ass ssoc ocii oc Notably, in patients with with RD (eGFR<45) was substantial (HR=2.2, 95% CI: 1.6-3.1, p<0.001). However, in patients with a normal admission BUN/Cr, RD was not associated with increased mortality (HR=1.2, 95% CI: 0.67-2.0, p=0.59, p interaction= 0.03). Conclusions—An elevated admission BUN/Cr identifies decompensated HF patients likely to experience IRF with treatment, providing proof of concept that reversible RD may be a discernible entity. However, this improvement appears to be largely transient and RD in the setting of an elevated BUN/Cr remains strongly associated with death. Further research is warranted to develop strategies for the optimal detection and treatment of these high-risk patients. Key Words: heart failure; cardio-renal syndrome; mortality 3 Renal dysfunction (RD) is a common finding in heart failure (HF) and has emerged as one of the most potent prognostic indicators in these patients.1, 2 However, multiple different mechanisms capable of initiating a reduction in glomerular filtration rate (GFR) exist in HF and the mechanism underlying the reduction in GFR likely has important prognostic and therapeutic implications.3-6 Unfortunately, limited progress has been made with respect to differentiation of these potential mechanistic subtypes of RD. The blood urea nitrogen to creatinine ratio (BUN/Cr) has been extensively used in Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 clinical medicine for the differentiation of “pre-renal” RD from intrinsic renal parenchymal ntra renal mech mechanisms cha ch disease.7 The discriminative ability of BUN/Cr is based on the intra-renal governing tubular urea handling. In the setting of a “pre-renal” stressor tresso s r su so such ch aass ddehydration, significant renal neurohormonal sympathetic nerve uroh ur ohormo ona nall activation acti ac tivvat ti atio ionn (i.e., io (i.e (i . .,, iincreases nccreas ases as ses inn va vvasopressin, sopr so p es essi sin, si n rrenal enal en al sy y activity, and the renin-angiotensin-aldosterone i an in-an angi g ot gi o en nsi s nn--al aldo ostteron ne ax axis axis) iss) ca causes ausses a ddisproportionate isp spro r po port rtio rt i na io nate tee rreabsorption e of 8-11 11 urea compared to that at of ccreatinine. reat re atin at inin in inee.8-1 in Similarly, Simi Si mila mi larl la rly, rl y, HF-induced HFF-in indu in duce du cedd RD has ce has also als lsoo traditionally trad tr adit ad itt been classified as a “pre-renal” form of RD, and renal neurohormonal activation is hypothesized to represent a prominent mechanistic contributor to the genesis of this form of RD.12 As such, the same physiology that allows BUN/Cr to differentiate chronic intrinsic kidney disease from dehydration should also apply to differentiation of HF-induced RD. Notably, we have recently reported that BUN/Cr can differentiate clinically important subgroups of RD as evidenced by the finding that essentially all of the mortality risk attributable to RD is confined to patients with an elevated BUN/Cr.4 Given that most “pre-renal” forms of RD are reversible if the appropriate treatment is instituted, it is plausible that some forms of HF-induced RD will also be reversible. The fact that improvement in renal function (IRF) appears to occur in up to 30% of acutely decompensated 4 HF patients with their return to compensation supports this possibility.13, 14 Given that an elevated BUN/Cr is often associated with reversible “pre-renal” physiology, we hypothesized that an elevated admission BUN/Cr would identify patients with reversible HF-induced RD that would improve with treatment of their decompensated HF. However, given that IRF is transient in the majority of patients, we additionally hypothesized that despite this potential reversibility RD in the setting of an elevated BUN/Cr would still be associated with worsened survival.13, 14 The primary aim of this study was to determine if baseline BUN/Cr could identify patients with Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 reversible renal dysfunction and to validate, in the same population, our previous observations wor o that RD in the setting of an elevated BUN/Cr is associated with substantially worsened survival. Methods i ns ffrom ions ro rom om 20 2004 04 tto 04 o 20 2009 09 tto o th thee ca card rd diol olog ogyy an og aand d in inte tern te rnal rn a m al edi d ci ci services at Consecutive admissions cardiology internal medicine U Univ iver iv ersi er sity si ty y ooff Pe Penn nnsy nn syylv lvan ania an ia wi with th a pprimary rima ri mary ma ry y discharge dis isch char ch arge ar g diagnosis ge diag di agno ag noss of congestive no the Hospital of the Un University Pennsylvania heart failure were reviewed. Inclusion required an admission B-type natriuretic peptide (BNP) level of > 100 pg/mL within 24 hours of admission, a length of stay of 3-14 days, and availability of serum creatinine and BUN levels. There were 7 patients without admission serum BUN levels available that met all other inclusion criteria, accounting for the slightly lower number of patients in this cohort than the parent cohort from which it was derived.13 Patients on renal replacement therapy or those admitted to interventional cardiology services (to avoid confounding from contrast nephropathy) were excluded. In the event of multiple hospitalizations for a single patient, the first admission was retained. Post-discharge renal function was ascertained in the subset of patients with data available as previously described.13 5 Estimated glomerular filtration rate (eGFR) was calculated using the four variable Modified Diet and Renal Disease equation.15 Unless otherwise noted, IRF was defined as a 20% increase at any time during the hospitalization and post discharge worsening renal function a 20% decrease in eGFR from the discharge to the outpatient value, consistent with previously published studies of IRF and WRF.3, 5, 6, 13, 14, 16, 17 All-cause mortality was determined via the Social Security Death Index.18 Loop diuretic doses were converted to furosemide equivalents with 1 mg bumetanide = 20 mg torsemide = 80 mg furosemide for oral Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 diuretics, and 1 mg bumetanide = 20 mg torsemide = 40 mg furosemide for intravenous diuretics. h University of he The study was approved by the Institutional Review Board of thee Hospital of tthe Pennsylvania. Statistical analysis this analysis ana naly ly ysi siss was was to evaluate eva valu luaate the lu the association ass ssoc ocia oc iati ia tion ti on between bet etw wee eenn ad admi miss mi sss The primary goal off this admission BUN/Cr and IRF during treatment of acute decompensated HF. For the purposes of the primary analysis and unless otherwise specified, BUN/Cr was treated as a continuous covariate. Values reported are mean ± SD, median (25th – 75th percentile), and percentage. Independent Student’s t test or the Wilcoxon Rank Sum test was used to compare continuous variables. The Pearson chi-square was used to evaluate associations between categorical variables. Spearman’s correlation coefficients were used to examine statistical dependence between two variables. To facilitate interpretability of the descriptive statistics relating to BUN/Cr, this variable was dichotomized as 20 or < 20 (in accordance with common clinical practice) for these analyses. Multivariable logistic regression analysis was performed to estimate the association between BUN/Cr and IRF after adjusting for potential confounders. Candidate covariates for the multivariable models 6 were obtained by screening clinical characteristics for an association with IRF at p0.2.13 Using backward elimination, any covariate whose removal resulted in a change in the odds ratio for BUN/Cr >10% was retained in the final model. Additionally, any candidate variable associated with IRF with p<0.05 was retained in the model, regardless of its influence on the odds ratio. Covariates that had a p>0.2 but a theoretical basis for potential confounding were manually forced into and subsequently retained in the final model. Furthermore, covariates associated with mortality at p 0.2 were also manually forced into (and retained in) the final model to Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 ensure the relationship between BUN/Cr and IRF was not driven by the greater disease severity eree included in the er in patients with either IRF or an elevated BUN/Cr. A total of 24 covariates wer were fina naal model. mode mo del. de l Odds l. O first step of model building, and 17 variables were retained in thee final ratios were 0 in increase see iin nB UN/C UN /Cr. /C r. Pr P opor op o tion onal al hhazards azar az aarrrds dss m odel od elin el ingg wa in wass uuse to evaluate reported for every 10 BUN/Cr. Proportional modeling attio ions ns with ns wit ithh all-cause allal l-ca c us usee mortality. mort mo rtaali rt lity t . Candidate ty Can andi dida di date da te covariates cov ovar arria iate tes entered te ente en teere redd in the model time-to-event associations var aria iate ia te aassociations ssoc ss ocia oc iattio ia ions ns w ithh al it alll-ca lcaus ca usee mo us mort rtal rt alit al ityy p 00.2 it .2 2 aand nd m od d building was were those with univariate with all-cause mortality model done analogously to that described above for the logistic regression models. Hazard ratios were also reported as per 10 increase in BUN/Cr. To examine the effect of BUN/Cr on the association between eGFR and mortality, Kaplan-Meier curves for death from any cause were plotted for the 4 combinations of groups between patients with and without an elevated BUN/Cr defined as a BUN/Cr in the highest compared to the lowest quartile (in accordance with prior studies) and those with and without significant RD (GFR < 45 ml/min/1.73 m2).4 Statistical significance was determined with the log-rank test. Stratum-specific hazard ratios and 95% confidence intervals were derived from proportional hazards modeling of the individual strata, and the significance of the interactions was formally assessed in models incorporating terms for the main effect of renal function, the main effect of BUN/Cr, and the interaction between these variables. Statistical 7 analyses were performed using Stata 12.0 (Statacorp, College Station, Texas) and statistical significance was defined as a two-sided p-value <0.05 with the exception of tests of interaction where significance was defined as a p-value <0.1. Results Overall, 896 patients met the inclusion criteria. Thirty-one percent of the population (n=278) experienced IRF during hospitalization with a mean improvement in eGFR in these patients of Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 43.7 ± 27.2%. The remainder of the cohort experienced a mean improvement in eGFR from eta t admission to the highest eGFR during hospitalization of only 5.3 ± 6.7%. A de detailed description occiaate t d wi with th IRF has of baseline characteristics, influence of treatment and prognosis assoc associated cri ribbed.133 previously been described. a eli ase line ne BUN/Cr ne BUN UN/C /C Cr in i the the cohort coh ohor oh ortt was or w s 18.6 wa 18 6 ± 7.7 7.7 7 with with itth a median medi me d an di n value v The mean baseline of 17 and an interquartile range g of ge of 13.3 13.33 to to 22.2. 22.2. 2 Baseline Bas asel elin el inee BUN/Cr in BUN UN/C /Crr de /C demo demonstrated mons mo nstr ns trat tr ated at ed vvery eryy we er weak ak k correlations with both admission serum creatinine (r=0.071, p=0.03) and eGFR (r=0.18, p<0.001). Baseline characteristics of patients with and without a BUN/Cr 20 are shown in Table 1. Notably, patients with an elevated BUN/Cr were more likely to be white, older, and to have an ischemic cause for their heart failure. Markers of venous congestion were more prevalent in patients with an elevated BUN/Cr, including an elevated jugular venous pressure and presence of peripheral edema. Notably, the elevated BUN/Cr group had multiple baseline indices consistent with greater heart failure disease severity including lower baseline eGFR, serum sodium, hemoglobin, and systolic blood pressure, and a higher BNP. The admission BUN/Cr was significantly associated with IRF (OR=1.5 per 10 increase in BUN/Cr, 95% CI: 1.3-1.8, p<0.001) (Figure 1). The association between BUN/Cr and IRF was 8 linear across values of BUN/Cr as evaluated graphically with a lowess smoother.19 Patients with higher BUN/Cr also had a significantly greater likelihood of continuing to meet criteria for IRF at the time of discharge (OR=1.5, 95% CI: 1.2-1.8, p<0.001). The BUN/Cr remained associated with IRF after adjustment for baseline eGFR (OR=1.4, 95% CI: 1.2-1.7, p<0.001) and baseline factors associated with IRF (age, race, hypertension, diabetes, ischemic HF etiology, jugular venous distention, ejection fraction, systolic blood pressure, loop diuretic dose, ACE or ARB use, beta blocker use, spironolactone use, thiazide use, nitrate use, BNP level, serum sodium, and Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 serum hemoglobin) (OR=1.4, 95% CI: 1.1-1.8, p=0.004). Results were similar when comparing ottom quartile, e, the t top BUN/Cr BUN/Cr 20 to BUN/Cr < 20, the top BUN/Cr quartile vs. the bottom ian ffor or bboth othh th ot tthe adjusted and tertile vs. the bottom tertile, and BUN/Cr above and below the medi median (T 2).. Admission Admi Ad miss mi sssio ionn BUN BUN demonstrated deemo ons nstr tratted a significant tr s gn si gnif ific if ican ic an nt univariate univ un iv unadjusted analyses (Table 2). F (OR=1.02, (OR OR=1 =1.0 02, 2 95% 95% % CI: CI: I 1.01-1.02, 1.0 011-1. 1 02 02, p< <0. 0 00 001) 1). W 1) hen he en bo both h aadmission dm dmis mis association with IRF p<0.001). When BUN and i ed ttogether ined in ogget ethe herr in a rregression he eg gres essi sion si on m odel od el aadjusted djjus uste tedd fo te forr ad admi miss mi ssio ss ionn eG io G BUN/Cr were examined model admission eGFR, only BUN/Cr retained a significant relationship with IRF (BUN/Cr OR=1.4, 95% CI: 1.09-1.82, p=0.01; BUN OR=1.0, 95% CI: 0.99-1.01, p=0.93). In the overall population, BUN/Cr increased on average 16.6 ± 40.2% from admission to discharge (p<0.001). Interestingly, there was not a significant difference in the degree of increase in BUN/Cr between patients that met criteria for IRF at discharge compared to those that did not (14.7 ± 39.5% vs. 17.0 ± 40.3% increase, p=0.50). This lack of difference appeared to be predominantly driven by the fact that patients with IRF had a relatively larger improvement in serum creatinine (25.0% improvement) compared to their improvement in BUN (13.8% improvement) ultimately leading to a net worsening in the ratio. 9 Baseline BUN/Cr and post-discharge renal function The incidence of post-discharge WRF (data available n=452, 50.4% of the population) was 39.2%. Importantly, there was no significant difference between baseline BUN/Cr (18.3 r 7.4 vs. 18.9 r 7.9, p=0.2) or IRF (30.4% vs. 31.5%, p=0.7) in those patients with and without postdischarge data available. Patients with higher baseline BUN/Cr were more likely to experience post-discharge WRF (OR= 1.4 per 10 increase, 95% CI: 1.1-1.8, p=0.011). Notably, this Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 association was unchanged after adjustment for admission eGFR (OR= 1.4 per 10 increase, 95% CI: 1.1-1.8, p=0.016), discharge eGFR (OR= 1.4 per 10 increase, 95% CI: 1.1-1.9, p=0.006), or rea ease se in BUN/Cr, BUN UN/C /Crr 95% CI: 1.1/C the admission to discharge change in eGFR (OR= 1.4 per 10 increase tren tr engt en gthh of gt o aassociation 1.8, p=0.020). Notably, there was not a significant difference in the sstrength nd post-discharge nd post-di disc di scha sc haarg rgee WRF WRF between b tw be weenn pa ati tien entss tthat en haat didd orr ddid id d nnot ot eexperience in between BUN/Cr and patients r tio ract ion= n=0.96 n= 96). 96 ) This Thiss relationship relati re tiion onsh shhip was a not as not detectable det eteect ctab ble for for ddischarge isch is ch h hospital IRF (p interaction=0.96). BUN/Cr rease, 95 5% CI CI:: 0. 0.99 1. 91 6, 6 pp=0.28), =0 0.228) 8),, a fi find ndin nd ingg un in nch chan ange an gedd bby ge y adj djuu (OR= 1.1 per 10 increase, 95% 0.9-1.6, finding unchanged adjustment for admission eGFR (p=0.33), discharge eGFR (p=0.22), or the change in eGFR (p=0.30). Baseline BUN/Cr, RD, and mortality Forty-four percent of the population died over a median follow-up of 2.6 years. Baseline BUN/Cr was significantly associated with increased mortality in this population (HR=1.8 per 10 increase, 95% CI: 1.6-2.0, p<0.001), an association that persisted when adjusted for baseline eGFR (Table 3). Adjusting for baseline characteristics, chronic medical conditions, medication use, and admission laboratory data did not eliminate the independent association of increasing BUN/Cr with mortality (Table 3). Admission eGFR was also significantly associated with mortality (HR=1.1 per 10 ml/min/1.73 m2 decrease in eGFR, 95% CI: 1.1-1.2, p<0.001), an 10 association which persisted after adjustment for baseline BUN/Cr (HR=1.1 per 10 ml/min/1.73 m2 decrease in eGFR, 95% CI: 1.1-1.2, p<0.001) and baseline characteristics (HR=1.1 per 10 ml/min/1.73 m2 decrease in eGFR, 95% CI: 1.0-1.1, p=0.017). Consistent with our previously published findings in other populations, there was significant effect modification by BUN/Cr on the association between eGFR and mortality (p interaction for continuous variables=0.04).4 Notably, in patients with a BUN/Cr in the top quartile, the risk of death associated with admission eGFR remained significant (HR=1.2, per 10 ml/min/1.73 m2 decrease in eGFR, 95% Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 CI: 1.1-1.3, p<0.001). However, in patients with a BUN/Cr in the bottom quartile, eGFR was no crease in eGFR, eGF FR, R 95% CI: 0.97longer associated with death (HR=1.0, per 10 ml/min/1.73 m2 decrease 1.1, p=0.25, p interaction=0.029). Consistent with our previously y pu published ubl blis ishe is hedd fi he fin findings, nd nd this effect modification was strengthened for baseline characteristics ren ren engthene n d byy aadjustment ne djus dj ustm us tmen tm entt fo en or ba aseli line li ne cha hara ha raact cteris isti is tiics iincluding nclu nc ludi lu d n age, sex, race, hypertension, coronary a y aartery ary rter rt eryy di er dis disease, sea ease s , BN BNP BNP, P, serum ser erum um sodium, sod diu ium m, systolic sys ysto to tol olic blood blo lood od pressure, preesssu heart rate, loop diuretic dose, an angiotensin converting a d an and angi giot gi oten ot ensi en sinn co si conv nver nv erti er ting ti ng g iinhibitor nhi hibi bito bi torr or aangiotensin to nggio iote tens te nsin ns in rreceptor ecep ec epto ep torr bblocker use (p to interaction for continuous variables=0.016). Similar results were noted when eGFR was dichotomized into patients with or without moderate to severe RD (eGFR 45 ml/min/1.73 m2) where the risk associated with RD was substantial in those with a BUN/Cr in the top quartile (HR=2.2, 95% CI: 1.6-3.1, p<0.001) and undetectable in those with a BUN/Cr in the bottom quartile (HR=1.2, 95% CI: 0.67-2.0, p=0.59, p interaction=0.03) (Figure 2). Although the risk of death associated with RD also differed between those with an admission BUN in the top vs. bottom quartile (p interaction=0.08), when both the interaction between admission BUN and RD as well as the interaction between admission BUN/Cr and RD were examined in the same model, only the interaction between BUN/Cr and RD remained significantly associated with mortality (p interaction BUN/Cr*RD=0.03; p interaction BUN*RD=0.26). 11 Discussion The primary finding of this study is the strong association between an elevated admission BUN/Cr and significant improvement in kidney function during the treatment of acute decompensated HF. Even after adjustment for comorbidities known to impact renal function, as well as medications that influence GFR, an elevated BUN/Cr at admission continued to be strongly associated with IRF. However, the IRF observed following standard decompensated HF treatment was frequently transient, and RD in the setting of an elevated BUN/Cr remained Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 strongly associated with reduced survival. These findings provide proof of concept that not only ble le, but this form of may prospective identification of potentially reversible forms of RD be possib possible, ant ca ccardio-renal rdio rd io o-r -ren enaal en al phenotype in HF. RD appears to represent perhaps the most prognostically important fundam men nta tall an andd di dire rect re ct rrole olee in ffluid ol luid id aand nd ssodium od diu i m ho home meos me osta os tasi ta s s processes Urea plays a fu fundamental direct homeostasis, 8 9, 9 20 20, 0 21 21 euro eu roho ro horm ho mon onal al sys ysste t ms.8, Ass a re A result, resu sult su lt, during lt dduuri ring ng ttimes im mes e ooff fluid and tightly regulated by neu neurohormonal systems. sodium avidity, suchh aass in intr intravascular trav tr avas av ascu as cula cu larr volume la volu vo lume lu me ddepletion epllet ep etio ionn or HF, io HF, the the rate rat atee of urea ure reaa ex excretion x is reduced out of proportion to the reduction in GFR, ultimately leading to an elevated BUN/Cr.10, 22 However, with intrinsic renal parenchymal disease, the primary defect leading to RD is irreversible nephron loss rather than neurohormonal activation. As a result, the rate of urea clearance is reduced in parallel to the GFR resulting in a normal BUN/Cr. This neurohormonally mediated disassociation between urea reabsorption and glomerular filtration forms the basis for the widespread clinical application of BUN/Cr for the differentiation of “pre-renal” RD from intrinsic renal parenchymal disease. Given the key role for neurohormones in the pathogenesis of both HF and reversible “pre-renal” forms of RD, this physiology may represent the common thread linking the finding of reversibility and the increased risk for death. 12 We have previously reported that the majority of patients who experience IRF during the treatment of decompensated HF actually suffer post-discharge recurrence of the RD.13, 14 Similarly, in the current analysis we found that an elevated admission BUN/Cr was also associated with an increased incidence of post discharge WRF, independent of the discharge eGFR or changes in eGFR during hospitalization. These observations allow some speculation as to how BUN/Cr could identify a form of RD that is potentially reversible but also associated with significantly increased mortality. Since currently available HF treatments are not capable of Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 increasing renal function to supra-normal levels, for improvement in kidney function to be st likely etiology etiolog ogy being RD og possible, reversible RD must be present at baseline (with the most ere likely liike kely ly “sicker” “ssic icke k r at baseline, ke induced by severe HF). Given that patients experiencing IRF were nt in disease nt disea ease ea see severity sev ever eritty is largely er lar a ge gelly transient, tran tr nsi sien ent,, it en it iss understandable und der erst stan st an anda nda dabl ble how an elevated bl and the improvement n ial nti ally ly be be associated a so as soci ciiat a ed with with reversible reve re vers ve rssib ible le RD RD but but al also so w orseene or n d ssurvival. u BUN/Cr could potentially worsened lsoo pr ls prev evio ev ious io usly us ly y rreported ep por orte tedd th te that at in in the the few few patients p ti pa tien ents en ts who who maintain mai aint ntai nt ainn IRF long term, ai However, we have aalso previously there may actually be improved survival associated with the IRF.13 Although again speculative, this observation raises the possibility that strategies aimed at inducing and maintaining IRF could potentially lead to improved outcomes. Markers such as BUN/Cr may allow the prospective identification of patients with the potential for IRF, facilitating interventional trials that can actually prove or disprove causality for these highly complex associations. Despite the above promising proof of concept findings, BUN/Cr is a less than ideal measure of renal urea handling and is influenced by non-renal factors such as diet and protein catabolism.23 Furthermore, creatinine based estimates of GFR also have significant limitations secondary to factors such as the dependence of serum creatinine on muscle mass and tubular secretion.24 Recently, several novel renal biomarkers such as neutrophil gelatinase-associated 13 lipocalin (NGAL), N-acetyl-beta-D-glucosaminidase (NAG), and kidney injury molecule 1 (KIM-1) have demonstrated high specificity in the detection of acute kidney injury.25 Furthermore, the now widely available filtration marker cystatin C offers the advantage of limited influence from lean body mass and tubular secretion. It is reasonable to hypothesize that given the strong signals demonstrable using a crude metric such as BUN/Cr, the aforementioned renal biomarkers may provide superior discriminative ability. Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 Limitations preting these rresults. e es There are several limitations that must be considered when interpreting First, given tratte and and re resi sidu si dua confounding du the retrospective study design, causality is impossible to demonstrate residual hysiciian anss we were re nnot ot bblinded liind ndeed to om easu ea sure su ress of rrenal re en nal a ffunction unct un ctio ct ionn aand thus may io cannot be excluded. P Physicians measures e t decisions ent dec e issio i ns in response respo p nse to these po the h se data. dat ata. a Furthermore, Furt Fu rthe rt herm he rmor rm ore, or e ggiven iven iv en n tthat h proven have altered treatment e t an ect ec andd op pti tima mall ma llyy tr ll trea eatt re ea reve vers ve rsib rs ible ib le R D in tthis hiss po hi ppopulation p la pu lati tioon wa ti wass uunavailable to the methodology to detect optimally treat reversible RD treating physicians, it is highly likely that some patients with reversible RD may have been refractory to the treatment they received (or possibly received treatment that lead to no improvement or worsening in renal function) and thus did not experience IRF. This possibility may have lead to a substantial underestimation of the magnitude of the association between BUN/Cr and reversible RD. Additionally, non-neurohormonal factors such as diet and protein catabolism that influence urea reabsorption may have introduced potential uncontrolled confounding. Given the slow equilibration time and non-renal factors that influence serum creatinine, assessment of IRF based on creatinine-based eGFR may have also introduced bias. The analysis of post-discharge renal function suffers from a large degree of missing data, which is likely missing not at random, and thus may have significant bias inherent to the results. As a 14 result of the above limitations, our findings should be considered hypothesis-generating and serve primarily to initiate further investigation. Conclusion In the setting of decompensated HF, an elevated BUN/Cr identifies patients likely to experience IRF, providing proof of concept that reversible RD may be a discernible entity. However, the improved kidney function observed following standard decompensated HF treatment appears to Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 be largely transient and, perhaps as a result, RD in the setting of an elevated BUN/Cr remains method od do strongly associated with worsened survival. Further research to develop methodology for the rant nted ed w ithh th it thee goal of optimal detection and treatment of these high risk patients is warranted with improve veeme m nt ntss inn renal ren enal al function func fu n tion nc on and and potentially pot oten enti en tial ti a ly y cclinical lini li n ca ni call ou ooutcomes. utcc facilitating sustainedd improvements Soour S urce cess off Funding Fun undi ding di ng Sources National Institutes of Health grant numbers 5T32HL007891 and 5T32HL007843-15. Disclosures None. References 1. 2. 3. Bock JS, Gottlieb SS. Cardiorenal syndrome: New perspectives. Circulation. 2010;121:2592-2600. Rastogi A, Fonarow GC. The cardiorenal connection in heart failure. Curr Cardiol Rep. 2008;10:190-197. Testani JM, Coca SG, McCauley BD, Shannon RP, Kimmel SE. Impact of changes in blood pressure during the treatment of acute decompensated heart failure on renal and clinical outcomes. European journal of heart failure. 2011;13:877-884. 15 4. 5. 6. 7. 8. Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. Testani JM, Coca SG, Shannon RP, Kimmel SE, Cappola TP. Influence of renal dysfunction phenotype on mortality in the setting of cardiac dysfunction: Analysis of three randomized controlled trials. European journal of heart failure. 2011;13:1224-1230. Testani JM, Kimmel SE, Dries DL, Coca SG. Prognostic importance of early worsening renal function after initiation of angiotensin-converting enzyme inhibitor therapy in patients with cardiac dysfunction. Circ Heart Fail. 2011;4:685-691. Testani JM, Chen J, McCauley BD, Kimmel SE, Shannon RP. Potential effects of aggressive decongestion during the treatment of decompensated heart failure on renal function and survival. Circulation. 2010;122:265-272. Cecil RL, Goldman L, Ausiello DA. Cecil medicine. Philadelphia: Saunders Elsevier; 2008. Fenton RA. Essential role of vasopressin-regulated urea transport processes in the mammalian kidney. Pflugers Archiv : European journal of physiology. 2009;458:169-177. Cowley AW, Jr. Role of the renal medulla in volume and arterial pressure regulation. Am. J. Physiol. 1997;273:R1-15. Lindenfeld J, Schrier RW. Blood urea nitrogen a marker for adverse effects of loop diuretics? J. Am. Coll. Cardiol. 2011;58:383-385. rke kerr of nneurohormonal euro eu roho ro horr ho Kazory A. Emergence of blood urea nitrogen as a biomarker activation 10;1 106 06:6 :694 :6 94-7 94 -7 700 0 in heart failure. The American Journal of Cardiology. 2010;106:694-700. Braunwald E, Bonow Bon onow ow RO. RO. O Braunwald's heart heear art disease : A textbook t xtbook of cardiovascular te card medicine. Philadelphia: Saunders; 2012. hila hil illadelph hiaa: Sa aun unde ders de rs;; 20 rs 2012 12.. 12 Testani JM, Mc M McCauley B BD, D, Che Chen hen J,, C he Coca oca ca SG, G C Cappola appo ap polaa T TP, P, K Kimmel im mme m l SE SE. E. C Clinical characteristics c and cs and outcomes outc ou tccom omes es off patients pat atieent ntss with w th improvement wi imp mpro rove ro veme ve ment me nt iin n re rena renal nall fu na ffunction nctt nc during the treatment of decompensated hheart eeaart ffailure. ailu ai lu ure re. J. J Card. Car a d. d Fail. Faiill.. 2011;17:993-1000. 2011;17:993-1000 Testani JM, Mc McCauley BD, Kimmel Shannon M McCa Caul Ca uley ul ey yB D, K imme im mell SE me SE,, Sh Shan anno an nonn RP. no RP Characteristics Char Ch arac ar acte ac teri te rist ri stic st icss of patients with ic improvementt or w decompensated worsening orse or seni niing iinn re renal rena nall fu ffunction ncti nc tiion dduring tion urin ur i g tr in ttreatment eattmen ea entt off aacute cute cu te dde e heart failure. Am. J. Cardiol. 2010;106:1763-1769. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, Kusek JW, Van Lente F, Chronic Kidney Disease Epidemiology C. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann. Intern. Med. 2006;145:247-254. Testani JM, Cappola TP, McCauley BD, Chen J, Shen J, Shannon RP, Kimmel SE. Impact of worsening renal function during the treatment of decompensated heart failure on changes in renal function during subsequent hospitalization. Am. Heart J. 2011;161:944-949. Testani JM, McCauley BD, Chen J, Shumski M, Shannon RP. Worsening renal function defined as an absolute increase in serum creatinine is a biased metric for the study of cardio-renal interactions. Cardiology. 2010;116:206-212. Quinn J, Kramer N, McDermott D. Validation of the social security death index (ssdi): An important readily-available outcomes database for researchers. West J Emerg Med. 2008;9:6-8. Royston P, Sauerbrei W. Building multivariable regression models with continuous covariates in clinical epidemiology--with an emphasis on fractional polynomials. Methods Inf. Med. 2005;44:561-571. Sands JM, Layton HE. The physiology of urinary concentration: An update. Semin. Nephrol. 2009;29:178-195. 16 21. 22. 23. 24. 25. Yang B, Bankir L. Urea and urine concentrating ability: New insights from studies in mice. Am J Physiol Renal Physiol. 2005;288:F881-896. Schrier RW. Blood urea nitrogen and serum creatinine: Not married in heart failure. Circ Heart Fail. 2008;1:2-5. Maroni BJ, Steinman TI, Mitch WE. A method for estimating nitrogen intake of patients with chronic renal failure. Kidney Int. 1985;27:58-65. Brenner BM, Rector FC. Brenner & rector's the kidney. Philadelphia: Saunders Elsevier; 2008. Coca SG, Parikh CR. Urinary biomarkers for acute kidney injury: Perspectives on translation. Clinical Journal of the American Society of Nephrology. 2008;3:481-490. Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 17 Table 1. Baseline characteristics and their association with the blood urea nitrogen to creatinine ratio BUN/Cr 20 Overall Cohort Characteristic (n=896) No (n=571) Yes (n=325) p-value 62.8 ± 15.8 59.6 ± 16.0 68.5 ± 13.8 <0.001* White race 33.9% 24.3% 50.8% <0.001* Male 54.5% 56.6% 50.8% 0.094 Hypertension 74.1% 75.4% 4% 72.0% 0.268 Diabetes 39.4% 37.3% 3% 43.2% 0.084 Coronary artery disease sease se eas ase 42.8% 38.7% 38.77% 50.5% 0.001* Ischemic etiology 24.6% 2 4 6% 4. % 21.7% 21..7% % 29.5% 0.009* Ejection fraction 40% 40% 35.1% 35.1 35 .1 1% 33.9% 33.9 33 . % 37.3% 0.304 Hyperlipidemia 32.2% 32 3 2 2% 29.8% 29 2 9 8% 36.5% 0.040* Heart rate (beats/min) 89.8 ± 20.0 92.2 ± 20.7 85.5 ± 17.9 <0.001* Systolic blood pressure (mm 139.1 ± 34.6 146.7 ± 34.7 125.7 ± 30.1 0.004* Jugular venous distention 35.5% 32.6% 40.3% 0.025* Moderate to severe edema 15.4% 13.3% 19.2% 0.020* E-Blocker 67.0% 63.1% 73.9% 0.001* ACE inhibitor or ARB 61.0% 59.9% 62.8% 0.397 Digoxin 22.5% 18.2% 30.1% <0.001* Demographics Age (y) Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 Medical History Admission Physical Exam Hg) Medications 18 Aldosterone antagonist 15.1% 11.6% 21.1% <0.001* Loop diuretic dose (mg) 40 (0, 80) 40 (0, 80) 80 (20, 120) <0.001* Thiazide diuretics 11.6% 7.94% 18.0% <0.001* Nitrates 16.5% 15.5% 18.3% 0.280 Calcium channel blockers 18.5% 19.2% 17.1% 0.428 Serum sodium (mEq/L) 138.6 ± 4.3 139.1 ± 3.8 137.7 ± 5.0 <0.001* Hemoglobin (g/dL) 12.2 ± 2.1 12.3 ± 2.1 12.0 ± 2.0 0.032* 1299 (659.0, 2368) 1208 (637.2, 2849) 1479 (738.0, 2848) 0.004* 60.4 ± 28.6 63.2 ± 28.9 28..9 55.6 ± 27.4 5 <0.001* 1.5 1.5 ± 1.11 1.5 1 5 ± 1.22 1. 1.5 ± 0.8 0.649 28.3 28. 8 3 ± 20.2 20.22 21.2 21.2 1.2 ± 12.9 1. 12 2.9 40.8 ± 24.3 4 <0.001* Laboratory Values (Baseline) Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 B-Type natriuretic peptide (pg/mL) eGFR (mL/min) Serum creatinine (mg/dL) mg/dL) Blood urea nitrogenn (mg/dL) (mg mg/d /d dL) L * Significant p-value. ( ) Represent interquartile ranges. BUN/Cr: blood urea nitrogen to creatinine ratio, ACE: angiotensin converting enzyme, ARB: angiotensin receptor blocker, eGFR: estimated glomerular filtration rate. 19 Table 2. Unadjusted and adjusted associations of blood urea nitrogen to creatinine ratio with IRF by varied definitions of BUN/Cr Unadjusted BUN/Cr Definition Adjusted Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 OR (95% CI) p-value OR (95% CI) p-value BUN/Cr as a continuous parameter† 1.51 (1.26-1.81) <0.001* 1.43 (1.12-1.83) 0.004* BUN/Cr 20 † 1.86 (1.39-2.49) <0.001* 1.66 (1.15-2.41) 0.007* BUN/Cr dichotomized as top quartile 1.72 (1.25-2.37) <0.001* 1.54 (1.02-2.32) 0.038* (1.40 2.50) 0 1.86 (1.40-2.50) <0.001 <0.001* 1 73 (1.19-2.50) (1 19 2.50 (1 (1.19 2 50 1.73 0.004* 70 0 (1.27-2.26) (1.27 2 -2 27 2.2 26) 1.70 <0. 0 00 001* <0.001* 1.4 47 (1.01-2.14) (1.001-2. 2 14 4 1.47 0.044* vs. remainder of population d as topp tertile BUN/Cr dichotomized lattion vs. remainder of population d as ab bove vs. BUN/Cr dichotomized above below median *Significant p-value. BUN/Cr: blood urea nitrogen to creatinine ratio. †OR reported for BUN/Cr as a continuous covariate are for every 10 increase in BUN/Cr. Adjusted analyses included adjustment for age, race, hypertension, diabetes, ischemic heart failure etiology, jugular venous distention, ejection fraction, systolic blood pressure, loop diuretic dose, angiotensin converting enzyme inhibitor or angiotensin receptor blocker use, ß-blocker use, spironolactone use, thiazide use, nitrate use, brain natriuretic peptide level, serum sodium, and serum hemoglobin. 20 Table 3. Association between BUN/Cr and All-Cause Mortality Association HR (95% CI) p-value Unadjusted 1.8 (1.6-2.0) <0.001 Adjusted for admission eGFR 1.7 (1.5-1.9) <0.001 Adjusted for baseline characteristics* 1.3 (1.1-1.5) 0.001 Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 BUN/Cr: blood urea nitrogen to creatinine ratio, HR: hazard ratio, CI: confidence inte interval, erv r eGFR: estimated glomerular filtration rate. BUN/Cr was analyzed as a continuous uous us pparameter aram ar am meter eterr aand HR are per 10 et increase in BUN/Cr. *Adjusted hypertension, diabetes, disease, preserved *Ad Adjjusted Ad ed for for age, age g , race, hy ype p rtenssion, diabet etes et te , coronary y artery y di i ejection fraction, systolic loop diuretic angiotensin-converting enzyme oli oli licc blood d ppressure, reessu sure, he hheart arrt rate rrate, at , lo oop p diu iureetiic ddose, iu osee, an ngi gioten enssin en n-co co onv v i receptor blockers in rss, E -blo -b lock lo cker ck errs, ddigoxin, ig gox oxin in,, th in thia azi zid de and spironolacto o use, serum inhibitor or angiotensin blockers, E-blockers, thiazide spironolactone sodium, hemoglobin, B-type B t pe natriuretic natri n attrii rretic eti tic peptide pepti tid ti de level llee ell and andd admission ad dmiission i GFR. G GFR FR 21 Figure Legends Figure 1. Incidence of improvement in renal function during hospitalization with a progressively higher baseline blood urea nitrogen to creatinine ratio (BUN/Cr). IRF: improvement in renal function. BUN/Cr: blood urea nitrogen to creatinine ratio. IRF defined as a 20% improvement in glomerular filtration rate. Test for trend p < 0.001. Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 Figure 2. Kaplan-Meier survival curves grouped by blood urea nitrogen oge to o ccreatinine e ratio (BUN/Cr) and renal dysfunction. eGFR: estimated glomerular filtration iltraati tion rrate. tion ate. at e. BU B BUN/Cr: U blood atin at inine ra atio. o BU BUN/ N/Cr N/ Cr ddichotomized ichot ch hot o om mized d aass th thee to op vs s. bo bbottom tttom qquartile. u urea nitrogen to creatinine ratio. BUN/Cr top vs. Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 The Blood Urea Nitrogen to Creatinine Ratio Identifies a High Risk but Potentially Reversible Form of Renal Dysfunction in Patients with Decompensated Heart Failure Meredith A. Brisco, Steven G. Coca, Jennifer Chen, Anjali Tiku Owens, Brian D. McCauley, Stephen E. Kimmel and Jeffrey M. Testani Downloaded from http://circheartfailure.ahajournals.org/ by guest on November 18, 2016 Circ Heart Fail. published online January 16, 2013; Circulation: Heart Failure is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Copyright © 2013 American Heart Association, Inc. All rights reserved. Print ISSN: 1941-3289. 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