Emergency Medicine: Open Access

Emergency Medicine: Open Access
Open Access

ISSN: 2165-7548

Editorial - (2011) Volume 1, Issue 1

Emergencies in Nephrology - Renal Dysfunction a Sufficient Mortality Predictor?

Ionel Alexandru CHECHERIŢĂ*
Department of Nephrology, Urology and Transplant Immunology, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
*Corresponding Author: Ionel Alexandru CHECHERIŢĂ, Lecturer, Bucharest, Romania Email:

Introduction

Nowadays, even if a large number of diagnostic and laboratory tools are available for the benefit of patient’s long-term outcome, there are still many burden questions regarding the proper use of commonly known biomarkers and treatment strategies to avoid life-threatening complications in chronic kidney disease (CKD) patients.

The present review represents a short survey of the most frequent nephrology emergencies in daily practice and to make a statement of under-recognized diagnostic errors [1,2].

The renal function impairment is worldwide known to represent a pathological status often associated with a high prevalence of various major conditions with high risk of mortality: cardiovascular diseases (including acute ischemic stroke, sudden cardiac death) [3], neoplasia [4], diabetes [5-7], infections [8], hepatorenal syndrome[9-11]. Besides, to the traditional risk factors (e.g.: age, proteinuria, hypertension, diabetes, dyslipidemia, obesity and smoking), in the last decade, a new contributing factor in CKD progression has emerged the periodontal disease [12]. Of course, other important problems are represented by different devastating complications of end-stage renal disease (ESRD), the type of renal replacement therapy and the right moment it should be performed.

Cardiovascular complications

Cardiovascular (CV) diseases represent a common condition associated with CKD patients and several studies emphasized the clear correlation between renal dysfunction and development of ischemic stroke [13-16], myocardial infarction or heart failure [17-20]. Additionally, several reports showed that increased mortality incidence after acute ischemic stroke is linked to C-reactive protein (CRP) values, glucose levels, fibrinogen concentration, erythrocyte sedimentation rate, leukocyte count, uric acid and a low tri-iodothyronine rate on admission [16, 21-24]. Furthermore, other published researches noticed that a low serum creatinine concentration among patients on admission represented an independently predicted mortality tool [16,25,26].

Tsagalis et al. [16], in their study emphasized that even 10 years after ischemic stroke, kidney function on admission represents a powerful independent prognostic factor for mortality and cardiovascular morbidity. By measuring the glomerular filtration rate (GFR), they identified an important prevalence of kidney impairment in early admitted patients with acute stroke (<24 h). These findings could be explained by shared pathophysiological mechanisms involved in the development of renal, coronary and cerebral vessels atherosclerosis [16, 27] and also by a close correlation between renal function impairment and stroke caused by small vessel diseases [16, 28-31]. All these findings emphasize the importance of using GFR estimation formulas as routine laboratory tests in this group of patients, on admission day [32]. In addition, many studies showed the importance of using commonly laboratory tests on admission as sufficient death predictor markers [33-39], because high mortality was associated with important water elecrolyte imbalance and sever uremic status [40,41].

For this reason, in 1999, the Modification of Diet in Renal Disease (MDRD) formula appeared as an attempt to a better estimation of GFR [42]. Even if in the beginning, it was used in young stable CKD subjects, in time it had been validated in a variety of patients [43-46]. The formula uses six variables: age, race, gender, creatinine, urea and albumin, important factors in determining a thoroughly measure of GFR individual patient [47].

Chin et al. [47] study showed that an admission MDRD value below 60, increased death risk within 30-day death, considering that MDRD formula could be also used as mortality predictor. The same conclusion was reached in a previous study that observed a 10% increased death risk at every 10 mL/min/1.73m2 decrease of GFR evaluated by MDRD [19].

Although MDRD formula represents a useful tool to predict death in ischemic stroke patients [48] and even in peripheral vascular disease patients [49], it cannot be usefully applied in patients with close to normal GFR (>60 mL/min/1.73m2) [50]. For this reason a more refined equation was developed: Chronic Kidney Disease–Epidemiology Collaboration equation [51].

Sudden cardiac death (SCD) is another important CV complication in dialysed patients and it is associated to low survival rate in this group of patients [52,53]. Its pathophysiological mechanism is poorly understood and is considered to depend on various factors [54-57], such as: diabetes, hypertension, severe uremic condition and bone mineral imbalance [58-61].

Because several studies noticed that an increased a and ß sympathetic activity – associated with myocardial fibrosis – develops a severe ventricle dysfunction in CKD patients [62-67], ß-blockers therapy was proposed to prevent SCD, especially in patients with ischemic heart disease (IHD) [68]. A recent research provided useful information regarding this treatment strategy and concluded that ß-blockers do not appear to be associated with SCD beneficial effects in dialysed patients without IHD, but may be associated with lower risk of SCD in those with pre-existing IHD [69].

Another CV complication in daily practice is acute decompensated heart failure (ADHF) with the following clinical features: dyspnea, weight gain, jugular venous distension, lower-limbs and pulmonary edema [70]. Although the current guidelines recommendations point out the use of diuretics as primary-line treatment [71], they have been associated with high rates of mortality [72-74], renal dysfunction and heart failure progression [75-78].

For this reason, in the last decade, extracorporeal ultrafiltration has been used in diuretic-resistant heart failure patients [79-89] with successful results [90,91].

Because there is a clear association between cardiac and kidney failure, a new term has been developed for a better understanding of the pathophysiological interactions between these two conditions: Cardiorenal Syndrome [92]. It is considered to a cardiac and renal dysfunction or the dysfunction in one organ may induce the impairment of the other organ, and it includes the following subtypes: acute cardiorenal syndrome (type 1), chronic cardiorenal syndrome (type 2), acute renocardiac syndrome (type 3), chronic renocardiac syndrome (type 4), secondary cardiorenal syndrome (type 5) [93]. The next figure (Figure 1) briefly presents the potential causes (insufficient understood) responsible for the cardiorenal syndrome [94].

emergency-medicine-potential

Figure 1: Potential causes for cardiorenal syndrome.

Some recent data have reported that venous congestion and intraabdominal hypertension could play an important role in cardiorenal syndrome genesis [95-98].

Freda et al study [99] proposed a list of advantages and disadvantages of using ultrafiltration for the benefit of ADHF patients (Table 1).

  Advantages Disadvantages
Diuretics symptomatic control of extracellular fluid volume overload decrease cardiac filling pressures electrolyte disturbances possible association with mortality risk intravascular volume depletion ototoxicity neuro-hormonal activation ineffective in patients with diuretic resistance decreased kidney function.
Ultrafiltration decreased re-hospitalization rate more sodium removal than diuretic controlled removal of volume avoidance of electrolyte disturbances effective in patients with diuretic resistance systemic anticoagulation recommended vascular access related complications intravascular volume depletion decreased kidney function costs

Table 1: Theoretical advantages and disadvantages of diuretic and ultra filtration in ADHF treatment.

Even if all evidence reported favorable results regarding the use of ultrafiltration, there is still a selection and treatment protocol problem.

Another important group of patients is represented by those who underwent cardiac surgery with cardiopulmonary bypass (CPB) and consequently developed severe renal injury (~2% of patients and 60% mortality risk) [100,101]. An increase of serum creatinine above 25% to the normal-baseline was noticed to be linked to double mortality cases up to 10 years after the procedure [102].

Furthermore, new available data have shown that changes of serum creatinine values before and after surgery are associated with mortality risk and acute kidney injury (AKI) [103-105].

The same conclusion was presented in Ho et al. study [106], which revealed that a small increase in serum creatinine level (measured immediately after surgery) significantly improved prediction of AKI for this group of patients.

For the benefit of CKD patients associating or not CV diseases, recent evidence suggested the importance of high fiber diet [107], which was correlated to lower values of inflammation markers [107-108] and decreased mortality rate [107,110,111].

Hepatorenal syndrome

Hepatorenal syndrome (HRS) (type 1 and 2), a devastating complication of liver cirrhosis, is accompanied by acute kidney failure and portal hypertension, and has high rate of mortality [112-114].

For this reason, many therapeutic strategies have been proposed and several systemic vasoconstrictors have been tested [115,116]. In Europe, terlipressin, a vasopressin receptor agonist, has been widely used [117], but in the largest randomized controlled trial, it failed to show effective benefits [118].

Recent reports noticed that an elevated mean arterial pressure (MAP) induced by terlipressin could have a higher probability in recovering renal function with encouraging results [119,120].

In addition, to support the new evidence, Velez et al. [121] observed a clear association between increased MAP in HRS patients and their therapeutic response. The study, also, emphasized that the improvement of kidney function was closely correlated with the magnitude of MAP elevation [121]. Considering that mammalian kidney starts losing its blood flow autoregulation below 75-80 mm Hg [122], the same research hypothesized, that renal perfusion is optimized when MAP increases to approximately 80 mm Hg. However, there are a few studies, which failed to observe this correlation between systemic hemodynamics amelioration and HRS improvement [123-130]. Nevertheless, vasoconstriction therapy remains a useful treatment approach to the benefit of HRS patients.

Infections complications

CKD is usually strongly associated with the risk of all-cause hospitalization [131]. This risk increases with 10%-50% in stage 3 CKD patients and with 110% for CKD stage 4 [131].

In addition, abnormal immune cell function is a common clinical complication of end-stage kidney disease, and it is proved by high rates of infection and infection-related death [132-134].

For this reason, different studies tried to determine the existence of a specific biological marker that prevents future infection complications. It was established that serum cystatin C could estimate more accurately adverse outcomes correlated with CKD compared with serum creatinine [135,136] and the conclusion was that even a mild renal dysfunction could be linked to higher infection risk (pulmonary, gastrointestinal, genitourinary, septicemia, soft tissue) [135,136].

Except for common infection complications in CKD patients, recent evidence suggested a strong correlation between periodontal disease and CKD progression [137]. Periodontal disease, a chronic bacterial infection resulting in inflammatory damage of connective tissue and teeth bone [138], presents elevated levels of interleukin 1 (IL- 1), IL-6, and tumor necrosis factor [139,140]. These proinflammatory immune mediators could enter the systemic circulation and produce distant organ dysfunction [140]. Furthermore, this could be a plausible explanation of renal function impairment in patients, to whom all traditional cardiovascular disease and CKD risk factors were previously adjusted [141,142].

Renal replacement therapy approach

When dealing with a patient with poor renal function who could, in addition, associate different comorbidities, a difficult question arises: ‘To initiate or not dialysis and which type of renal replacement therapy (RRT) should be approached for an immediately favorable outcome?’. Furthermore, it is possible that dialysis procedure itself or vascular access may contribute to a poor outcome due to adverse cardiac effects; vascular access related complications and accelerated loss of residual kidney function. In addition, in case of aged patients more other questions regarding the right treatment strategy should be taken into account.

There are studies that suggested that early dialysis initiation or starting RRT in long-term care facilities patients are associated with poor survival rate and deteriorated quality of life [143,144]. A number of reports noticed that CKD severity could be overdiagnosed in elderly patients due to an improper eGFR measurement, leading to unrequired RRT initiation [145].

Recent data have shown that elderly patients with associated comorbidities could be managed using conservative management protocols without dialysis and better outcomes [146-153].

Considering all this, Renal Physicians Association clinical practice guidelines recommended to assess the balance of the benefit versus the burdens of dialysis for each individual [154], because an earlier initiation of RRT in the elderly may accelerate loss of residual kidney function.

Another burden problem is whether starting hemodialysis (HD) or peritoneal dialysis (PD) in acute emergency cases. There are several reports that conclude there is a high rate of patients without a plan at the time of RRT initiation (up to 80%) who start dialysis therapy with a central venous catheter (CVC) [155] and consequently, there is a significant prevalence of CVC related complications [156-158]. Furthermore, there are studies suggesting that, in the first 90 days since RRT has been initiated, the high rate of using CVC in new dialysate patients is an important risk factor of high mortality [159-163].

Considering these important facts, Ghaffari [164] proposed a new RRT protocol for cases that could be initiated as urgent-start PD (Figure 2).

emergency-medicine-urgent-start

Figure 2: Urgent-start PD algorithm.

His innovative algorithm was sustained by various reports that observed an early survival benefit for PD patients versus HD individuals in the first 2 years, with similar prognostic even after 5 years [165-169].

Conclusion

To sum up, there is a worldwide increasing interest in using laboratory data as predictors not only of CKD evolution, but also as mortality predictors. This new concept was extrapolated from the fact that virtually all patients admitted with an acute medical condition underwent renal function tests that are easily to be accessed and interpreted. In this manner, a simultaneous multidisciplinary approach can be performed to the patients’ benefit.

In addition, the use of laboratory findings as possible mortality risk predictors could also improve the standards of the diagnostic test accuracy in establishing a correct medical diagnosis, supported by clinical and laboratory features.

Probably the answer to the question: ‘Renal dysfunction a sufficient mortality predictor?’ could be affirmative, considering the large number of evidence that suggest a clear correlation between kidney function impairment and high rate of mortality in patients associating or not different pathological conditions.

References

  1. Newman-Toker D, Pronovost P. (2009) Diagnostic errors - the next frontier for patient safety. JAMA 301:1060-1062.
  2. Graber M. (2005) Diagnostic errors in medicine: a case of neglect. Jt Comm J Qual Patient Saf 31:106-113.
  3. Foley RN, Parfrey PS, Sarnak MJ (1998) Epidemiology of cardiovascular disease in chronic renal disease. J Am Soc Nephrol 9:S16-S23.
  4. Doshi SM, Shah P, Lei X,Lahoti A, Salahudeen AK (2011) Hyponatremia in hospitalized cancer patients and its impact on clinical outcomes. Am J Kidney Dis (article in press).
  5. Ansell D, Feehally J, Feest TG (2008) UK Renal Registry Report. Bristol UK: UK Renal Registry, 49-74.
  6. Wild S, Roglic G, Green A Sicrree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27: 1047-1053.
  7. Shaw JE, Sicree RA, Zimmet PZ (2010) Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract 87:4-14.
  8. Dalrymple LS, Katz R, Kestenbaum B, de Boer IH, Fried L, et al. (2011) The risk of infection - related hospitalization with decreased kidney function. Am J Kidney Dis .
  9. Epstein M, Berk DP, Hollenberg NK Adams DF, Chalmers TC, et al. (1970) Renal failure in the patient with cirrhosis. The role of active vasoconstriction. Am J Med 49:175-185.
  10. Gines P, Schrier RW (2009) Renal failure in cirrhosis. N Engl J Med 361:1279- 1290.
  11. Ring-Larsen H (1977) Renal blood flow in cirrhosis: relation to systemic and portal haemodynamics and liver function. Scand J Clin Lab Invest 37:635-642.
  12. Iwasaki M, Taylor GW, Nesse W, Arjan Vissink, Akihiro Yoshihara, Hideo Miyazaki, et al. (2011) Periodontal disease and decreased kidney function in Japanese elderly. Am J Kidney Dis (article in press).
  13. Sarnak MJ, Levey AS, Schoolwerth AC, Coresh J, Culleton B, et al. (2003) Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Hypertension 42: 1050-1065.
  14. Weiner DE, Tighiouart H, Amin MG, Stark PC, MacLeod B, et al. (2004) Chronic kidney disease as a risk factor for cardiovascular disease and allcause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol 15:1307-1315.
  15. Foley RN, Murray AM, Li S, Herzog CA, McBean AM, et al. (2005) Chronic kidney disease and the risk for cardiovascular disease, renal replacement, and death in the United States Medicare population, 1998 to 1999. J Am Soc Nephrol 16:489-495.
  16. Tsagalis G, Akrivos T, Alevizaki M, Manios E, Stamatellopoulos K, et al. (2009) Renal dysfunction in acute stroke: an independent predictor of long-term all combined vascular events and overall mortality. Nephrol Dial Transplant 24: 194-200.
  17. Wright RS, Reeder GS, Herzog CA, Albright RC, Williams BA, et al. (2002) Acute myocardial infarction and renal dysfunction: a high-risk combination. Ann Intern Med 137: 563-570.
  18. Al Suwaidi J, Reddan DN, Williams K, Pieper KS, Harrington RA, et al. (2002) Prognostic implications of abnormalities in renal function in patients with acute coronary syndromes. Circulation 106: 974-980.
  19. Anavekar NS, McMurray JJV, Velazquez E, Solomon SD, Kober L, et al. (2004) Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction. N Engl J Med 351: 1285-1289.
  20. Smith GL, Lichtman JH, Bracken MB, Shlipak MG, Phillips CO,et al. (2006) Renal impairment and outcomes in heart failure: systematic review and metaanalysis. J Am Coll Cardiol 47: 1987-1996.
  21. Capes SE, Hunt D, Malmberg K Pathak P, Gerstein HC (2001) Stress hyperglycemia and prognosis of stroke in nondiabetic and diabetic patients: a systematic overview. Stroke 32: 2426-2432.
  22. Kannel WB, Anderson K, Wilson PWF (1992) White cell blood count and cardiovascular disease: insights from the Framingham study. JAMA 267:1253- 1256.
  23. Mohr JP, Choi DW, Grotta JC, Weir B, Wolf PA (eds) (2004) Stroke Pathophysiology, Diagnosis, and Management, 5th edn. New York: Churchill Livingstone 35-57.
  24. Alevizaki M, Synetou M, Xynos K, Pappa T, Vemmos KN. Low triiodothyronine: a strong predictor of outcome in acute stroke patients. Eur J Clin Invest 37: 651-665.
  25. Friedman PJ (1991) Serum creatinine: an independent predictor of survival after stroke. J Inter Med 229: 175-179.
  26. Mc Walter RS, Wong SYS, Wong KYK, Stewart G, Fraser CG, et al. (2002) Does renal dysfunction predict mortality after acute stroke? A 7-year follow-up study. Stroke 33: 1630-1635.
  27. Kuroda S, Nishida N, Uzu T, Takeji M, Nishimura M, et al. (2000) Prevalence of renal artery stenosis in autopsy patients with stroke. Stroke 3: 61-65.
  28. O'Rourke MF, Safar ME (2005) Relationship between aortic stiffening and microvascular disease in brain and kidney: cause and logic of therapy. Hypertension 46: 200-204.
  29. Seliger SL, Longstreth WT Jr, Katz R, Manolio T, Fried LF et al. (2005) Cystatin C and subclinical brain infarction. J Am Soc Nephrol 16: 3721-3727.
  30. Khatri M, Wright CB, Nickolas, TLYoshita M, Paik MC, et al. (2007) Chronic kidney disease is associated with white matter hyperintensity volume: the Northern Manhattan Study (NOMAS). Stroke 38: 3121-3126.
  31. IkramMA, VernooijMW, Hofman A, Niessen WJ, van der Lugt A, et al. (2008) Kidney function is related to cerebral small vessel disease. Stroke 39: 55-61.
  32. Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, et al. (2007) ESHESC Task Force on the Management of Arterial Hypertension. 2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension. J Hypertens 25: 1751-1762.
  33. Prytherch DR, Sirl JS, Schmidt P, Featherstone PI, Weaver PC, et al. (2005) The use of routine laboratory data to predict in-hospital death in medical admissions. Resuscitation 66: 203-207.
  34. Smith GB, Prytherch DR, Schmidt PE, Featherstone PI, et al. (2008) Review and performance evaluation of aggregate weighted 'track and trigger' systems. Resuscitation 77: 170-179.
  35. McGaughey J, Alderdice F, Fowler R, Kapila A, Mayhew A, et al. (2007) Outreach and Early Warning Systems (EWS) for the prevention of intensive care admission and death of critically ill adult patients on general hospital wards. Cochrane Database Syst Rev 18.
  36. Kellett J, Deane B (2006) The Simple Clinical Score predicts mortality for 30 days after admission to an acute medical unit. Q J Med 99: 771-781.
  37. Prytherch DR, Sirl JS, Schmidt P, Featherstone PI, Weaver PC, et al. (2005) The use of routine laboratory data to predict in-hospital death in medical admissions. Resuscitation 66: 203-207.
  38. Asadollahi K, Hastings IM, Beeching NJ, Gill GV (2007) Laboratory risk factors for hospital mortality in acutely admitted patients. Q J Med 100: 501-507.
  39. Hucker TR, Mitchell GP, Blake LD, Cheek E, Bewick V, et al. (2005) Identifying the sick: can biochemical measurements be used to aid decision making on presentation to the accident and emergency department. Br J Anaesth 94: 735-741.
  40. Asadollahi K, Hastings IM, Beeching NJ, Gill GV (2007) Laboratory risk factors for hospital mortality in acutely admitted patients. QJM 100: 501-507.
  41. Whelan B, Bennett K, O'Riordan D, Silke B (2009) Serum sodium as a risk factor for in-hospital mortality in acute unselected general medical patients. Q J Med 102: 175-182.
  42. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, et al. (1999) A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 130: 461-470.
  43. Bostom AG, Kronenberg F, Ritz E (2002) Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels. J Am Soc Nephrol 13: 2140-2144.
  44. Rule AD, Gussak HM, Pond GR, Bergstralh EJ, Stegall MD, et al. (2004) Measured and estimated GFR in healthy potential kidney donors. Am J Kidney Dis 43: 112-119.
  45. Stevens LA, Coresh J, Feldman HI, Greene T, Lash JP, et al. (2007) Evaluation of the modification of diet in renal disease study equation in a large diverse population. J Am Soc Nephrol 18: 2749-2757.
  46. O'Meara E, Chong KS, Gardner RS, Jardine AG, Neilly JB, et al. (2006) The Modification of Diet in Renal Disease (MDRD) equations provide valid estimations of glomerular filtration rates in patients with advanced heart failure. Eur J Heart Fail 8: 63-67.
  47. Chin JL, O'Dowd S, Wan Md Adnan WAH, Bennett K, O'Riordan D, et al. (2011) Using the MDRD value as an outcome predictor in emergency medical admissions. Nephrol Dial Transplant 26: 3155-3159.
  48. Hojs Fabjan T, Hojs R, Tetickovic E, Tetickovic E, Pecovnik Balon B. et al. (2007) Ischaemic stroke-impact of renal dysfunction on in-hospital mortality. Eur J Neurol 14: 1351-1356.
  49. O'Hare AM, Bertenthal D, Shlipak MG, Sen S, Chren MM (2005) Impact of renal insufficiency on mortality in advanced lower extremity peripheral arterial disease. J Am Soc Nephrol 16: 514-519.
  50. Smith GL, Shlipak MG, Havranek EP, Foody JM, Masoudi FA, et al. (2006) Serum urea nitrogen, creatinine, and estimators of renal function: mortality in older patients with cardiovascular disease. Arch Intern Med 166: 1134-1142.
  51. Levey AS, Stevens LA, Schmid CH, Castro AF 3rd, Feldman HI, et al. (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150: 604- 612.
  52. Eknoyan G, Beck GJ, Cheung AK, Daugirdas JT, Greene T, et al. (2002) Effect of dialysis dose and membrane flux in maintenance hemodialysis. N Engl J Med 347: 2010-2019.
  53. US Renal Data System. USRDS 2008 Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases.
  54. Herzog CA (2003) Cardiac arrest in dialysis patients: approaches to alter an abysmal outcome. Kidney Int Suppl 63: S197-S200.
  55. Herzog CA, Mangrum JM, Passman R (2008) Sudden cardiac death and dialysis patients. Semin Dial 21:300-307.
  56. Karnik JA, Young BS, Lew NL, Herget M, Dubinsky C, et al. (2001) Cardiac arrest and sudden death in dialysis units. Kidney Int 60: 350-357.
  57. Lafrance JP, Nolin L, Senecal L, Leblanc M (2006) Predictors and outcome of cardiopulmonary resuscitation (CPR) calls in a large haemodialysis unit over a seven-year period. Nephrol Dial Transplant 21: 1006-1012.
  58. Bleyer AJ, Hartman J, Brannon PC, Reeves-Daniel A, Satko SG, et al. (2006) Characteristics of sudden death in hemodialysis patients. Kidney Int 69: 2268- 2273.
  59. Herzog CA (2005) Sudden cardiac death and acute myocardial infarction in dialysis patients: perspectives of a cardiologist. Semin Nephrol 25: 363-366.
  60. Ritz E, Amann K, Tornig J, Schwarz U, Stein G (1997) Some cardiac abnormalities in renal failure. Adv Nephrol Necker Hosp 27: 85-103.
  61. Chow KM, Szeto CC, Kwan BC, Chung KY, Leung CB et al. (2009) Factors associated with sudden death in peritoneal dialysis patients. Perit Dial Int 29: 58-63.
  62. Amann K, Ritz E (1997) Cardiac disease in chronic uremia: pathophysiology. Adv Ren Replace Ther 4: 212-224.
  63. Amann K, Rychlik I, Miltenberger-Milteny G, Ritz E, et al. (1998) Left ventricular hypertrophy in renal failure. Kidney Int Suppl 68: S78-S85.
  64. Kotanko P (2006) Cause and consequences of sympathetic hyperactivity in chronic kidney disease. Blood Purif 24: 95-99.
  65. Nishimura M, Tokoro T, Nishida M, Hashimoto T, Kobayashi H, et al. (2010) Sympathetic overactivity and sudden cardiac death among hemodialysis patients with left ventricular hypertrophy. Int J Cardiol 142: 80-86.
  66. Vonend O, Rump LC, Ritz E (2008) Sympathetic overactivity - the Cinderella of cardiovascular risk factors in dialysis patients. Semin Dial 21: 326-330.
  67. Zoccali C, Mallamaci F, Parlongo S, Cutrupi S, Benedetto FA, et al. (2002) Plasma norepinephrine predicts survival and incident cardiovascular events in patients with end-stage renal disease. Circulation 105: 1354-1359.
  68. Kendall MJ, Lynch KP, Hjalmarson A, Kjekshus J et al. (1995) Betablockers and sudden cardiac death. Ann Intern Med 123: 358-367.
  69. Tangri N, Shastri S, Tighiouart H, Beck GJ, Cheung AK, et al. (2011) β-Blockers for prevention of sudden cardiac death in patients on hemodialysis: a propensity score analysis of the HEMO study. Am J Kidney Dis (article in press).
  70. Adams KF Jr, Fonarow GC, Emerman CL, LeJemtel TH, Costanzo MR, et al. (2005) Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). Am Heart J 149: 209-216.
  71. Jessup M, Abraham WT, Casey DE, Feldman AM, Francis GS, et al. (2009) 2009 Focused update: ACCF/AHA Guidelines for the Diagnosis and Management of Heart Failure in Adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the International Society for Heart and Lung Transplantation. Circulation 119: 1977-2016.
  72. Peacock WF, Costanzo MR, De Marco T, Lopatin M, Wynne J, et al. (2009) Impact of intravenous loop diuretics on outcomes of patients hospitalized with acute decompensated heart failure: insights from the ADHERE registry. Cardiology 113: 12-19.
  73. Harjai KJ, Dinshaw HK, Nunez E, Shah M, Thompson H, et al. The prognostic implications of outpatient diuretic dose in heart failure. Int J Cardiol 71: 219- 225.
  74. Domanski M, Norman J, Pitt B, Hanlon S, Peyster E, et al. (2003) Diuretic use, progressive heart failure, and death in patients in the Studies Of Left Ventricular Dysfunction (SOLVD). J Am Coll Cardiol 42: 705-708.
  75. Francis GS, Siegel RM, Goldsmith SR, Olivari MT, Levine TB, et al. (1985) Acute vasoconstrictor response to intravenous furosemide in patients with chronic congestive heart failure. Activation of the neurohumoral axis. Ann Intern Med 103: 1-6.
  76. Gottlieb SS, Skettino SL, Wolff A, Beckman E, Fisher ML, et al. (2000) Effects of BG9719 (CVT-124), an A1-adenosine receptor antagonist, and furosemide on glomerular filtration rate and natriuresis in patients with congestive heart failure. J Am Coll Cardiol 35: 56-59.
  77. Schrier RW (2006) Role of diminished renal function in cardiovascular mortality: marker or pathogenetic factor? J Am Coll Cardiol 47: 1-8.
  78. Bayliss J, Norell M, Canepa-Anson R, Sutton G, Poole-Wilson P, et al. (1987) Untreated heart failure: clinical and neuroendocrine effects of introducing diuretics. Br Heart J 57: 17-22.
  79. Clark WR, Paganini E, Weinstein D, Bartlett R, Sheinfeld G, et al. (2005) Extracorporeal ultrafiltration for acute exacerbations of chronic heart failure: report from the Acute Dialysis Quality Initiative. Int J Artif Organs 28: 466-476.
  80. Ronco C, Ricci Z, Bellomo R, Bedogni F, et al. (2001) Extracorporeal ultrafiltration for the treatment of overhydration and congestive heart failure. Cardiology 96: 155-168.
  81. Marenzi G, Agostoni P (2004) Hemofiltration in heart failure. Int J Artif Organs 27: 1070-1076.
  82. Agostoni PG, Marenzi GC (2001) Sustained benefit from ultrafiltration in moderate congestive heart failure. Cardiology 96: 183-189.
  83. Kazory A, Ross EA (2009) Ultrafiltration for decompensated heart failure: renal implications. Heart 95: 1047-1051.
  84. Costanzo MR, Guglin ME, Saltzberg MT, Jessup ML, Bart BA, et al. (2007) Ultrafiltration versus intravenous diuretics for patients hospitalized for acute decompensated heart failure. J Am Coll Cardiol 49: 675-683.
  85. Udani SM, Murray PT (2009) The use of renal replacement therapy in acute decompensated heart failure. Semin Dial 22: 173-179.
  86. Dahle TG, Sobotka PA, Boyle AJ (2008) A practical guide for ultrafiltration in acute decompensated heart failure. Congest Heart Fail 14: 83-88.
  87. Wertman BM, Gura V, Schwarz ER (2008) Ultrafiltration for the management of acute decompensated heart failure. J Card Fail 14: 754-759.
  88. Cnossen N, Kooman JP, Konings CJ, van Dantzig JM, van der Sande FM, et al. (2006) Peritoneal dialysis in patients with congestive heart failure. Nephrol Dial Transplant 21: ii63-ii66.
  89. Mehrotra R, Kathuria P (2006) Place of peritoneal dialysis in the management of treatment-resistant congestive heart failure. Kidney Int Suppl 103: S67-S71.
  90. Dahle TG, Sobotka PA, Boyle AJ (2008) A practical guide for ultrafiltration in acute decompensated heart failure. Congest Heart Fail 14: 83-88.
  91. Adamson PB, Magalski A, Braunschweig F, Böhm M, Reynolds D, et al. (2003) Ongoing right ventricular hemodynamics in heart failure: clinical value of measurements derived from an implantable monitoring system. J Am Coll Cardiol 41: 565-571.
  92. Bagshaw SM, Cruz DN, Aspromonte N et al. (2010) Acute Dialysis Quality Initiative Consensus Group. Epidemiology of cardiorenal syndromes: workgroup statements from the 7th ADQI Consensus Conference. Nephrol Dial Transplant 25: 1406-1416.
  93. Ronco C, McCullough P, Anker SD, Anand I, Aspromonte N, et al. (2010) Acute Dialysis Quality Initiative (ADQI) Consensus Group. Cardio-renal syndromes: report from the consensus conference of the Acute Dialysis Quality Initiative. Eur Heart J 31:703-711.
  94. Tang WH, Mullens W (2010) Cardiorenal syndrome in decompensated heart failure. Heart 96: 255-260.
  95. Mullens W, Abrahams Z, Skouri HN, Francis GS, Taylor DO, et al. (2008) Elevated intraabdominal pressure in acute decompensated heart failure: a potential contributor to worsening renal function? J Am Coll Cardiol 51: 300- 306.
  96. Wencker D (2007) Acute cardio-renal syndrome: progression from congestive heart failure to congestive kidney failure. Curr Heart Fail Rep 4: 134-138.
  97. Damman K, Navis G, Smilde TD, Voors AA, van der Bij W, et al.(2007) Decreased cardiac output, venous congestion and the association with renal impairment in patients with cardiac dysfunction. Eur J Heart Fail 9:872-878.
  98. Mullens W, Abrahams Z, Francis GS, Sokos G, Taylor DO, et al. (2009) Importance of venous congestion for worsening of renal function in advanced decompensated heart failure. J Am Coll Cardiol 53: 589–596. J Am Coll Cardiol 53:589-596.
  99. Freda BJ, Slawsky M, Mallidi J, Braden GL (2011) Decongestive treatment of acute decompensated heart failure: cardiorenal implications of ultrafiltration and diuretics. Am J Kidney Dis (article in press).
  100. Chertow GM, Lazarus JM, Christiansen CL, Cook EF, Hammermeister KE, et al. (1997) Preoperative renal risk stratification. Circulation 95: 878-884.
  101. Thakar CV, Arrigain S, Worley S, Yared JP, Paganini EP, et al. (2005) A clinical score to predict acute renal failure. J Am Soc Nephrol 16: 162-168.
  102. Loef BG, Epema AH, Smilde TD, Henning RH, Ebels T, et al. (2005) Immediate postoperative renal function deterioration in cardiac surgical patients predicts in-hospital mortality and long-term survival. J Am Soc Nephrol 16: 195-200.
  103. Lassnigg A, Schmidlin D, Mouhieddine M, Bachmann LM, Druml W, et al. (2004) Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: a prospective cohort study. J Am Soc Nephrol 15: 1597-1605.
  104. Lassnigg A, Schmid E, Hiesmayr M, Falk C, Druml W, et al. (2008) Impact of minimal increases in serum creatinine on outcome in patients after cardiothoracic surgery: do we have to revise current definitions of acute renal failure? Crit Care Med 36: 1129-1137.
  105. Zappitelli M, Bernier PL, Saczkowski RS, Tchervenkov CI, Gottesman R, et al. (2009) A small post-operative rise in serum creatinine predicts acute kidney injury in children undergoing cardiac surgery. Kidney Int 76: 885-892.
  106. Ho J, Reslerova M, Gali B, Nickerson PW, Rush DN, et al. (2011) Serum creatinine measurement immediately after cardiac surgery and prediction of acute kidney injury. Am J Kidney Dis (article in press).
  107. Krishnamurthy VMR, Wei G, Baird BC, Murtaugh M, Chonchol MB, et al. (2011) High dietary fiber intake is associated with decreased inflammation and all-cause mortality in patients with chronic kidney disease. Kidney Int (advance online publication).
  108. Ajani UA, Ford ES, Mokdad AH (2004) Dietary fiber and C-reactive protein: findings from national health and nutrition examination survey data. J Nutr 134: 1181-1185.
  109. King DE, Egan BM, Geesey ME (2003) Relation of dietary fat and fiber to elevation of C-reactive protein. Am J Cardiol 92: 1335-1339.
  110. Jacobs Jr DR, Meyer KA, Kushi LH, Folsom (1999) ARl. Is whole grain intake associated with reduced total and cause-specific death rates in older women? The Iowa Women's Health Study. Am J Public Health 89: 322-329.
  111. Jacobs DR, Pereira MA, Meyer KA, Kushi LH (2000) Fiber from whole grains, but not refined grains, is inversely associated with all-cause mortality in older women: the Iowa women's health study. J Am Coll Nutr 19: 326S-330S.
  112. Epstein M, Berk DP, Hollenberg NK, Adams DF, Chalmers TC, et al. (1970) Renal failure in the patient with cirrhosis. The role of active vasoconstriction. Am J Med 49: 175-185.
  113. Gines P, Schrier RW (2009) Renal failure in cirrhosis. N Engl J Med 361: 1279-1290.
  114. Ring-Larsen H (1977) Renal blood flow in cirrhosis: relation to systemic and portal haemodynamics and liver function. Scand J Clin Lab Invest 37: 635- 642.
  115. Arroyo V, Terra C, Gines P (2007) Advances in the pathogenesis and treatment of type-1 and type-2 hepatorenal syndrome. J Hepatol 46: 935-946.
  116. Moreau R, Lebrec D (2008) Acute kidney injury: new concepts. Hepatorenal syndrome: the role of vasopressors. Nephron Physiol 109: 73-79.
  117. Pesaturo AB, Jennings HR, Voils SA (2006) Terlipressin: vasopressin analog and novel drug for septic shock. Ann Pharmacother 40: 2170-2177.
  118. Sanyal AJ, Boyer T, Garcia-Tsao G, Regenstein F, Rossaro L, et al. (2008) A randomized, prospective, double-blind, placebo-controlled trial of terlipressin for type 1 hepatorenal syndrome. Gastroenterology 134: 1360-1368.
  119. Nazar A, Pereira GH, Guevara M, Martín-Llahi M, Pepin MN, et al. (2010) Predictors of response to therapy with terlipressin and albumin in patients with cirrhosis and type 1 hepatorenal syndrome. Hepatology 51: 219-226.
  120. Boyer TD, Sanyal AJ, Garcia-Tsao G, Blei A, Carl D, et al. (2011) Predictors of response to terlipressin plus albumin in hepatorenal syndrome (HRS) type 1: relationship of serum creatinine to hemodynamics. J Hepatol 55: 315-321.
  121. Velez JCQ, Nietert PJ (2011) Therapeutic response to vasoconstrictors in hepatorenal syndrome parallels increase in mean arterial pressure: a pooled analysis of clinical trials. Am J Kidney Dis (article in press).
  122. Bellomo R, Giantomasso DD (2001) Noradrenaline and the kidney: friends or foes? Crit Care 5: 294-298.
  123. Sanyal AJ, Boyer T, Garcia-Tsao G, Regenstein F, Rossaro L, et al. (2008) A randomized, prospective, double-blind, placebo-controlled trial of terlipressin for type 1 hepatorenal syndrome. Gastroenterology 134: 1360-1368.
  124. Halimi C, Bonnard P, Bernard B, Mathurin P, Mofredj A, et al. (2002) Effect of terlipressin (Glypressin) on hepatorenal syndrome in cirrhotic patients: results of a multicentre pilot study. Eur J Gastroenterol Hepatol 14: 153-158.
  125. Sharma P, Kumar A, Shrama BC, Sarin SK, et al. (2008) An open label, pilot, randomized controlled trial of noradrenaline versus terlipressin in the treatment of type 1 hepatorenal syndrome and predictors of response. Am J Gastroenterol 103: 1689-1697.
  126. Pomier-Layrargues G, Paquin SC, Hassoun Z, Lafortune M, Tran A, et al. (2003) Octreotide in hepatorenal syndrome: a randomized, doubleblind, placebo-controlled, crossover study. Hepatology 38: 238-243.
  127. Mulkay JP, Louis H, Donckier V, Adler M, Deviere J, et al. (2001) Long-term terlipressin administration improves renal function in cirrhotic patients with type 1 hepatorenal syndrome: a pilot study. Acta Gastroenterol Belg 64: 15- 19.
  128. Gulberg V, Luppa P, Pauletzki J, Paumgartner G, Gerbes AL, (1998) Successful conservative therapy of hepatorenal syndrome with vasopressin- 1-receptor antagonist ornipressin. Z Gastroenterol 36: 1053-1058.
  129. Wong F, Pantea L, Sniderman K (2004) Midodrine, octreotide, albumin, and TIPS in selected patients with cirrhosis and type 1 hepatorenal syndrome. Hepatology 40: 55-64.
  130. Munoz LE, Alcala EG, Cordero P, Martínez MA, Vázquez NY, et al. (2009) Reversal of hepatorenal syndrome in cirrhotic patients with terlipressin plus albumin. First experience in Mexico. Ann Hepatol 8: 207-211.
  131. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY, et al. (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351: 1296-1305.
  132. Allon M, Depner TA, Radeva M, Bailey J, Beddhu S, et al. (2003) Impact of dialysis dose and membrane on infection-related hospitalization and death: results of the HEMO Study. J Am Soc Nephrol 14: 1863-1870.
  133. Allon M, Radeva M, Bailey J, Beddhu S, Butterly D, et al. (2005) The spectrum of infection-related morbidity in hospitalized haemodialysis patients. Nephrol Dial Transplant 20: 1180-1186.
  134. Dalrymple LS, Johansen KL, Chertow GM, Cheng SC, Grimes B, et al. (2010) Infection related hospitalizations in older patients with ESRD. Am J Kidney Dis 56: 522-530.
  135. Dalrymple LS, Katz R, Kestenbaum B, de Boer IH, Fried L, et al. (2011) The risk of infection - related hospitalization with decreased kidney function. Am J Kidney Dis (article in press).
  136. Coll E, Botey A, Alvarez L, Poch E, Quintó L, et al. (2000) Serum cystatin C as a new marker for noninvasive estimation of glomerular filtration rate and as a marker for early renal impairment. Am J Kidney Dis 36: 29-34.
  137. Iwasaki M, Taylor GW, Nesse W, Arjan Vissink, Akihiro Yoshihara, et al. (2011) Periodontal disease and decreased kidney function in Japanese elderly. Am J Kidney Dis (article in press).
  138. Graves DT, Cochran D (2003) The contribution of interleukin-1 and tumor necrosis factor to periodontal tissue destruction. J Periodontol 74: 391-401.
  139. Loos BG (2005) Systemic markers of inflammation in periodontitis. J Periodontol 76: 2106-2115.
  140. Kshirsagar AV, Moss KL, Elter JR, Beck JD, Offenbacher S, et al. (2005) Periodontal disease is associated with renal insufficiency in the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 45: 650-657.
  141. Fisher MA, Taylor GW, Shelton BJ, Jamerson KA, Rahman M, et al. (2008) Periodontal disease and other nontraditional risk factors for CKD. Am J Kidney Dis 51: 45-52.
  142. Kurella Tamura M, Covinsky KE, Chertow GM, Yaffe K, Landefeld CS, et al. (2009) Functional status of elderly adults before and after initiation of dialysis. N Engl J Med 361: 1539-1547.
  143. Cooper BA, Branley P, Bulfone L, Collins JF, Craig JC, et al. (2010) A randomized controlled trial of early versus late initiation of dialysis. N Engl J Med 363: 609-619.
  144. Rosansky SJ, Eggers P, Jackson K, Glassock R, Clark WF, et al. (2011) Early start of hemodialysis may be harmful. Arch Intern Med 171: 396-403.
  145. Murtagh FE, Marsh JE, Donohoe P, Burns A (2007) Dialysis or not? A comparative survival study of patients over 75 years with chronic kidney disease stage 5. Nephrol Dial Transplant 22: 1955-1962.
  146. Carson RC, Juszczak M, Davenport A, Williams PS (2009) Is maximum conservative management an equivalent treatment option to dialysis for elderly patients with significant comorbid disease? Clin J Am Soc Nephrol 4: 1611-1619.
  147. Wong CF, McCarthy M, Howse ML, Warwicker P, Greenwood R, et al. (2007) Factors affecting survival in advanced chronic kidney disease patients who choose not to receive dialysis. Ren Fail 29: 653-659.
  148. Smith C, Da Silva-Gane M, Chandna S, Warwicker P, Greenwood R, et al. (2003) Choosing not to dialyse: evaluation of planned non-dialytic management in a cohort of patients with end-stage renal failure. Nephron Clin Pract 95: c40-46.
  149. Brunori G, Viola BF, Parrinello G, De Biase V, Como G, et al. (2007)Efficacy and safety of a very-low-protein diet when postponing dialysis in the elderly: a prospective randomized multicenter controlled study. Am J Kidney Dis 49: 569-580.
  150. Chandna SM, Silva-Gane MD, Marshall C, Warwicker P, Greenwood RN, et al. (2011) Survival of elderly patients with stage 5 CKD: comparison of conservative management and renal replacement therapy. Nephrol Dial Transplant 26: 1608-1614.
  151. Burns A (2003) Conservative management of end-stage renal failure: masterly inactivity or benign neglect? Nephron Clin Pract 95: c37-39.
  152. De Biase V, Tobaldini O, Boaretti C, Abaterusso C, Pertica N, et al. (2008) Prolonged conservative treatment for frail elderly patients with end-stage renal disease: the Verona experience. Nephrol Dial Transplant 23: 1313-1317.
  153. Renal Physicians Association. Shared Decision-Making in the Appropriate Initiation of and Withdrawal From Dialysis. 2nd edn. Rockville, MD: Renal Physicians Association; 2010.
  154. US Renal Data System. USRDS Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. Am J Kidney Dis 2011;57(1)(Suppl 1): e1-e526.
  155. Allon M (2004) Dialysis catheter-related bacteremia: treatment and prophylaxis. Am J Kidney Dis 44: 779-791.
  156. Lee T, Barker J, Allon M (2005) Tunneled catheters in hemodialysis patients: reasons and subsequent outcomes. Am J Kidney Dis 46: 501-508.
  157. Moist LM, Trpeski L, Na Y, Lok CE (2008) Increased hemodialysis catheter use in Canada and associated mortality risk: data from the Canadian Organ Replacement Registry 2001-2004. Clin J Am Soc Nephrol 3: 1726-1732.
  158. Dhingra RK, Young EW, Hulbert-Shearon TE, Leavey SF, Port FK (2001) Type of vascular access and mortality in U.S. hemodialysis patients. Kidney Int 60: 1443-1451.
  159. Pastan S, Soucie JM, McClellan WM (2002) Vascular access and increased risk of death among hemodialysis patients. Kidney Int 62: 620-626.
  160. Xue JL, Dahl D, Ebben JP, Collins AJ (2003) The association of initial hemodialysis access type with mortality outcomes in elderly Medicare ESRD patients. Am J Kidney Dis 42: 1013-1019.
  161. Polkinghorne KR, McDonald SP, Atkins RC, Kerr PG (2004) Vascular access and all-cause mortality: a propensity score analysis. J Am Soc Nephrol 15: 477-486.
  162. Metcalfe W, Khan IH, Prescott GJ, Simpson K, Macleod AM (2003) Hospitalization in the first year of renal replacement therapy or end-stage renal disease. QJM 96: 899-909.
  163. Ghaffari A (2011) Urgent-start peritoneal dialysis: a quality improvement report. Am J Kidney Dis (article in press).
  164. Vonesh EF, Snyder JJ, Foley RN, Collins AJ (2004) The differential impact of risk factors on mortality in hemodialysis and peritoneal dialysis. Kidney Int 66: 2398-2401.
  165. Heaf JG, Lokkegaard H, Madsen M (2002) Initial survival advantage of peritoneal dialysis relative to hemodialysis. Nephrol Dial Transplant 17: 112- 117.
  166. Fenton SS, Schaubel DE, Desmeules M, Morrison HI, Mao Y, et al. (1997) Hemodialysis versus peritoneal dialysis: a comparison of adjusted mortality rates. Am J Kidney Dis 30: 334-342.
  167. Jaar BG, Coresh J, Plantinga LC, Fink NE, Klag MJ, et al. (2005) Comparing the risk for death with peritoneal dialysis and hemodialysis in a national cohort of patients with chronic kidney disease. Ann Intern Med 143: 174-183.
  168. Weinhandl ED, Foley RN, Gilbertson DT, Arneson TJ, Snyder JJ, et al. (2010) Propensity-matched mortality comparison of incident hemodialysis and peritoneal dialysis patients. J Am Soc Nephrol 21: 499-506.
Citation: CHECHERIŢĂ IA (2011) Emergencies in Nephrology - Renal Dysfunction a Sufficient Mortality Predictor? Emergency Medicine 1:e102.

Copyright: © 2011 CHECHERIŢĂ IA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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