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1.
Diabetologia ; 56(9): 1949-57, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23771173

ABSTRACT

AIMS/HYPOTHESIS: A previous study in Dutch dialysis patients showed no survival difference between patients with diabetes as primary renal disease and those with diabetes as a co-morbid condition. As this was not in line with our hypothesis, we aimed to verify these results in a larger international cohort of dialysis patients. METHODS: For the present prospective study, we used data from the European Renal Association-European Dialysis and Transplant Association (ERA-EDTA) Registry. Incident dialysis patients with data on co-morbidities (n = 15,419) were monitored until kidney transplantation, death or end of the study period (5 years). Cox regression was performed to compare survival for patients with diabetes as primary renal disease, patients with diabetes as a co-morbid condition and non-diabetic patients. RESULTS: Of the study population, 3,624 patients (24%) had diabetes as primary renal disease and 1,193 (11%) had diabetes as a co-morbid condition whereas the majority had no diabetes (n = 10,602). During follow-up, 7,584 (49%) patients died. In both groups of diabetic patients mortality was higher compared with the non-diabetic patients. Mortality was higher in patients with diabetes as primary renal disease than in patients with diabetes as a co-morbid condition, adjusted for age, sex, country and malignancy (HR 1.20, 95% CI 1.10, 1.30). An analysis stratified by dialysis modality yielded similar results. CONCLUSIONS/INTERPRETATION: Overall mortality was significantly higher in patients with diabetes as primary renal disease compared with those with diabetes as a co-morbid condition. This suggests that survival in diabetic dialysis patients is affected by the extent to which diabetes has induced organ damage.


Subject(s)
Diabetes Mellitus/mortality , Kidney Diseases/mortality , Renal Dialysis/statistics & numerical data , Aged , Female , Humans , Male , Middle Aged
2.
Aging Cell ; 10(2): 233-8, 2011 Apr.
Article in English | MEDLINE | ID: mdl-21108732

ABSTRACT

The most frequently used model to describe the exponential increase in mortality rate over age is the Gompertz equation. Logarithmically transformed, the equation conforms to a straight line, of which the slope has been interpreted as the rate of senescence. Earlier, we proposed the derivative function of the Gompertz equation as a superior descriptor of senescence rate. Here, we tested both measures of the rate of senescence in a population of patients with end-stage renal disease. It is clinical dogma that patients on dialysis experience accelerated senescence, whereas those with a functional kidney transplant have mortality rates comparable to the general population. Therefore, we calculated the age-specific mortality rates for European patients on dialysis (n=274 221; follow-up=594 767 person-years), for European patients with a functioning kidney transplant (n=61 286; follow-up=345 024 person-years), and for the general European population. We found higher mortality rates, but a smaller slope of logarithmic mortality curve for patients on dialysis compared with both patients with a functioning kidney transplant and the general population (P<0.001). A classical interpretation of the Gompertz model would imply that the rate of senescence in patients on dialysis is lower than in patients with a functioning transplant and lower than in the general population. In contrast, the derivative function of the Gompertz equation yielded the highest senescence rates for patients on dialysis, whereas the rate was similar in patients with a functioning transplant and the general population. We conclude that the rate of senescence is better described by the derivative function of the Gompertz equation.


Subject(s)
Aging/physiology , Kidney Failure, Chronic/mortality , Models, Theoretical , Mortality , Adult , Aged , Aged, 80 and over , Europe , Humans , Kidney Failure, Chronic/physiopathology , Kidney Failure, Chronic/therapy , Middle Aged , Registries , Young Adult
3.
Kidney Int ; 70(7): 1358-66, 2006 Oct.
Article in English | MEDLINE | ID: mdl-16929251

ABSTRACT

The available data on bone fractures in hemodialysis (HD) patients are limited to results of a few studies of subgroups of patients in the United States. This study describes the prevalence of hip fractures and the incidence and risk factors associated with hip and other fractures in representative groups of HD facilities (n=320) and patients (n=12 782) from the 12 countries in the second phase of the Dialysis Outcomes and Practice Patterns Study (2002-2004). Among prevalent patients, 2.6% had a prior hip fracture. The incidence of fractures was 8.9 per 1000 patient years for new hip fractures and 25.6 per 1000 for any new fracture. Older age (relative risk (RR)(HIP)=1.91, RR(ANY)=1.33, P<0.0001), female sex (RR(HIP)=1.41, P=0.02; RR(ANY)=1.59, P<0.0001), prior kidney transplant (RR(HIP)=2.35, P=0.04; RR(ANY)=1.76, P=0.007), and low serum albumin (RR(HIP)=1.85, RR(ANY)=1.45, per 1 g/dl lower, P<0.0001) were predictive of new fractures. Elevated risk of new hip fracture was observed for selective serotonin reuptake inhibitors and combination narcotic medications (RR=1.63, RR=1.74, respectively, P<0.05). Several medications were associated with risk of any new fracture: narcotic pain medications (RR=1.67, P=0.02), benzodiazepines (RR=1.31, P=0.03), adrenal cortical steroids (RR=1.40, P<0.05), and combination narcotic medications (RR=1.72, P=0.001). Parathyroid hormone (PTH) levels >900 pg/ml were associated with an elevated risk of any new fracture (RR=1.72, P<0.05) versus PTH 150-300. The results suggest that greater selectivity in prescribing several classes of psychoactive drugs and more efficient treatment of secondary hyperparathyroidism may help reduce the burden of fractures in HD patients.


Subject(s)
Fractures, Bone/epidemiology , Hip Fractures/epidemiology , Renal Dialysis , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Data Interpretation, Statistical , Drug-Related Side Effects and Adverse Reactions , Female , Fractures, Bone/blood , Fractures, Bone/prevention & control , Hip Fractures/blood , Hip Fractures/prevention & control , Humans , Hyperparathyroidism, Secondary , Incidence , Kidney Transplantation , Male , Middle Aged , Parathyroid Hormone/blood , Prevalence , Risk , Risk Factors , Serum Albumin/analysis , Sex Factors , Time Factors , Treatment Outcome
4.
J Intern Med ; 251(4): 325-30, 2002 Apr.
Article in English | MEDLINE | ID: mdl-11952883

ABSTRACT

OBJECTIVES: Previous studies have shown that patients with diabetes mellitus have an increased mortality after suffering from acute myocardial infarction (AMI). Patients with diabetes have several risk factors for cardiovascular disease. Our objective was to quantify the prevalence of pharmacological cardiovascular prevention at admission and relate such treatment to short and long-term mortality following AMI in patients with and without diabetes. DESIGN AND SUBJECTS: All patients discharged from the Department of Internal Medicine at Helsingborg Hospital in 1996 and 1997 with a principal diagnosis of AMI were included in the study. Patients were divided into two groups according to the presence or absence of diabetes. Cardiovascular risk factors, on-going medication, type of ward following admission, peak creatine kinase MB mass (CKMB) and immediate treatment were registered. Information about death was obtained from the national register. Kaplan-Meier analysis was performed for life-expectancy. RESULTS: A total of 673 patients with AMI were registered, of which 117 (17.4%) had diabetes. No differences in 30 days (17.1% vs. 15.3%) or 1-year (24.8% vs. 27.4%) mortality were seen between the diabetes and control groups, whereas the 2-year mortality was significantly higher in the diabetes group (40.2% vs. 29.1%). Cardiovascular risk factors occurred more often in the diabetes group and the use of aspirin, ACE-inhibitors, statins and diuretics was significantly more frequent. In patients treated with aspirin, in combination with either statin or angiotensin converting enzyme (ACE)-inhibitor, or both, no differences were seen in 30 days, 1 or 2-year mortality between groups. CONCLUSION: In contrast to earlier studies we did not find an increased 30 days and 1-year mortality in patients with diabetes suffering from AMI. This discrepancy was linked to a higher frequency of pharmacological cardiovascular prevention, a finding supporting the hypothesis that survival of a diabetes patient after AMI could be affected by factors operating before the infarction.


Subject(s)
Diabetes Mellitus, Type 2/complications , Myocardial Infarction/prevention & control , Aged , Angiotensin-Converting Enzyme Inhibitors/therapeutic use , Anti-Inflammatory Agents, Non-Steroidal/therapeutic use , Case-Control Studies , Female , Humans , Male , Myocardial Infarction/complications , Myocardial Infarction/mortality , Retrospective Studies , Risk Factors
5.
Nephron ; 85(4): 324-33, 2000 Aug.
Article in English | MEDLINE | ID: mdl-10940743

ABSTRACT

BACKGROUND: In patients on hemodialysis with end-stage renal disease there is an increasing interest in measuring both residual renal function (RRF) and quantity and quality of dialysis because insufficient dialysis gives higher mortality. For that purpose we have measured clearances of two urographic iodine (I) contrast media (CM) with different molecular masses (iohexol 821 u and iodixanol 1, 550 u). These CM are filtered through glomeruli and dialysis membranes and have higher molecular masses than urea and creatinine and might represent the dialyzability of the hypothetic uremic toxins with a molecular mass of 300-5,000 u. METHODS: Thirteen patients (8 of them were anuric) immediately after hemodialysis received 15 ml iohexol (300 mg I/ml i.v.) and 2 weeks later in the same way 15 ml iodixanol (320 mg I/ml). Nine other patients (2 anuric) received CM after only one dialysis; 8 got iohexol and 1 got iodixanol. After the CM injections the iodine concentrations were measured with X-ray fluorescence in blood and, when available, urine during the following 2 days including both the start and end of the next dialysis. Eighteen patients after two dialysis sessions, 2 weeks apart, received 10 ml iohexol i.v., and a single blood sample was taken at the start of the next dialysis 2 days later to determine RRF alone. RESULTS: In the 10 anuric patients the extrarenal clearances (mean +/- SD) were 2.5 +/- 1.1 and 2.7 +/- 1.1 ml/min/1.73 m(2) for iohexol and iodixanol, respectively. In patients with RRF good correlations were demonstrated between body clearance, based on two blood samples, and renal clearance of CM. Good correlations (r(2) = 0.853 for iohexol, r(2) = 0.933 for iodixanol) were noted between two-sample and single-sample body clearances. Repeated single sample iohexol clearances gave a coefficient of variation of 15%. During dialysis the clearances of iohexol and iodixanol were, respectively, 69 +/- 16 and 58 +/- 11 ml/min/1.73 m(2) when calculated from a single-pool model (hemodialysis clearance of CM from plasma). A median increase (rebound) of CM concentrations in plasma 45 min dialysis was 8% for iodixanol and 18% for iohexol. When the CM concentration 45 min after dialysis was used, the clearance values were by 8-10% lower and represented the hemodialysis clearance of CM from the extracellular compartments. The dialysis eliminations of iohexol and iodixanol were similar to that of urea, measured as percentage reduction of serum levels during dialysis. CONCLUSIONS: A single injection of CM at the end of dialysis followed by a single blood sample at the start of the next dialysis gives total body clearance, i.e., an estimation of the RRF. An additional blood sample at the end of the next dialysis gives dialysis efficiency.


Subject(s)
Contrast Media/pharmacokinetics , Kidney Failure, Chronic/diagnosis , Kidney/physiology , Renal Dialysis/standards , Triiodobenzoic Acids/pharmacokinetics , Adult , Aged , Aged, 80 and over , Creatinine/blood , Creatinine/urine , Female , Humans , Iohexol/pharmacokinetics , Kidney Failure, Chronic/physiopathology , Kidney Failure, Chronic/therapy , Kidney Function Tests/methods , Linear Models , Male , Middle Aged , Urea/blood , Urea/urine , Uremia/diagnosis , Uremia/physiopathology
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