A prospective study about impact of renal dysfunction and morbidity and mortality on cardiovascular events after ischemic stroke

Background: The aim of our prospective study was to define the impact of renal dysfunction on future cardiovascular events and total mortality in 390 patients suffering from ischemic stroke. Methods: A quantitative measurement of neurologic deficit according to National Institutes of Health Stroke Scale (NIHSS) score was performed. Blood parameters were measured. Diabetes, hypertension and smoking habits were defined. Estimated glomerular filtration rate was calculated. Results: 153 (39.2%) patients had renal dysfunction. In the follow-up period in 36 (9.2%) patients acute coronary syndrome, in 102 (26.2%) recurrent ischemic stroke and in 44 (11.3%) peripheral arterial disease were documented. 191 (49%) patient died, 118 (30.3%) of whom died of cardiovascular events. Patients who died were older, had higher prevalence of renal dysfunction and NIHSS score. The Kaplan-Meier survival analysis showed that total mortality (p < 0.003) and cardiovascular mortality (p < 0.01) were higher in patients with renal dysfunction. According to Cox’s regression analysis, renal dysfunction was the predictor of cardiovascular events, cardiovascular and total mortality. Conclusions: Patients with ischemic stroke and renal dysfunction are at higher risk for long term cardiovascular and total mortality. The patients with ischemic stroke and renal dysfunction are also at higher risk of new cardiovascular morbidity. Renal dysfunction should be added to the other known prognostic factors in patients with ischemic stroke. Our results also emphasize the importance of identification and management of renal dysfunction in stroke patients.

A Case of ‘Sweet’ Hydrothorax in a Patient on Peritoneal Dialysis

Non-infectious complications are an important cause of peritoneal dialysis failure. Increased intra-abdominal pressure resulting from dialysate inflow into the peritoneal cavity can cause leaks, including hydrothorax due to pleuroperitoneal communication. The authors describe a patient on peritoneal dialysis with a newly discovered pleural effusion with a high glucose level. The patient was treated conservatively with peritoneal dialysis cessation and switched to haemodialysis with complete resolution of the pleural effusion. After 5 weeks, the patient successfully restarted peritoneal dialysis without recurrence of the hydrothorax

The Role of Vascular Lesions in Diabetes Across a Spectrum of Clinical Kidney Disease

Albuminuria; Diabetes; HistologyAlbuminuria; Diabetes; HistologíaAlbuminúria; Diabetis; HistologiaIntroduction The clinical-histologic correlation in diabetic nephropathy is not completely known. Methods We analyzed nephrectomy specimens from 90 patients with diabetes and diverse degrees of proteinuria and glomerular filtration rate (GFR). Results Thirty-six (40%) subjects had normoalbuminuria, 33 (37%) microalbuminuria, and 21 (23%) non-nephrotic proteinuria. Mean estimated GFR (eGFR) was 65±23 (40% 10% to 20% of the sample. Moderate hyalinosis and arteriolar sclerosis were observed in 80% to 100% of cases with normoalbuminuria, microalbuminuria, proteinuria, as well as in class I, II, or III. Conclusions Weak correspondence between analytical parameters and kidney histology was found. Thus, disease may progress undetected from the early clinical stages of the disease. Finally, vascular damage was a very common finding, which highlights the role of ischemic intrarenal disease in diabetes.This study was funded by the ERA-EDTA (European Renal Association-European Dialysis and Transplant Association). The European Nephrectomy Biobank Project (Appendix). FIS/Fondos FEDER (PI17/00257, PI16/01814, PI19/01756, PI18/01386, PI19/00588, PI19/00815, DTS18/00032, ERA-PerMed-JTC2018 (KIDNEY ATTACK AC18/00064 and PERSTIGAN AC18/00071, ISCIII-RETIC REDinREN RD016/0009), Sociedad Española de Nefrología, FRIAT, Comunidad de Madrid en Biomedicina B2017/BMD-3686 CIFRA2-CM

The Role of Vascular Lesions in Diabetes Across a Spectrum of Clinical Kidney Disease

Introduction: The clinical-histologic correlation in diabetic nephropathy is not completely known. Methods: We analyzed nephrectomy specimens from 90 patients with diabetes and diverse degrees of proteinuria and glomerular filtration rate (GFR). Results: Thirty-six (40%) subjects had normoalbuminuria, 33 (37%) microalbuminuria, and 21 (23%) non-nephrotic proteinuria. Mean estimated GFR (eGFR) was 65±23 (40% 10% to 20% of the sample. Moderate hyalinosis and arteriolar sclerosis were observed in 80% to 100% of cases with normoalbuminuria, microalbuminuria, proteinuria, as well as in class I, II, or III. Conclusions: Weak correspondence between analytical parameters and kidney histology was found. Thus, disease may progress undetected from the early clinical stages of the disease. Finally, vascular damage was a very common finding, which highlights the role of ischemic intrarenal disease in diabetes

PKD1 and PKD2 mutations in Slovenian families with autosomal dominant polycystic kidney disease

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is a genetically heterogeneous disorder caused by mutations in at least two different loci. Prior to performing mutation screening, if DNA samples of sufficient number of family members are available, it is worthwhile to assign the gene involved in disease progression by the genetic linkage analysis. METHODS: We collected samples from 36 Slovene ADPKD families and performed linkage analysis in 16 of them. Linkage was assessed by the use of microsatellite polymorphic markers, four in the case of PKD1 (KG8, AC2.5, CW3 and CW2) and five for PKD2 (D4S1534, D4S2929, D4S1542, D4S1563 and D4S423). Partial PKD1 mutation screening was undertaken by analysing exons 23 and 31–46 and PKD2 . RESULTS: Lod scores indicated linkage to PKD1 in six families and to PKD2 in two families. One family was linked to none and in seven families linkage to both genes was possible. Partial PKD1 mutation screening was performed in 33 patients (including 20 patients from the families where linkage analysis could not be performed). We analysed PKD2 in 2 patients where lod scores indicated linkage to PKD2 and in 7 families where linkage to both genes was possible. We detected six mutations and eight polymorphisms in PKD1 and one mutation and three polymorphisms in PKD2. CONCLUSION: In our study group of ADPKD patients we detected seven mutations: three frameshift, one missense, two nonsense and one putative splicing mutation. Three have been described previously and 4 are novel. Three newly described framesfift mutations in PKD1 seem to be associated with more severe clinical course of ADPKD. Previously described nonsense mutation in PKD2 seems to be associated with cysts in liver and milder clinical course

Automatic identification of variables in epidemiological datasets using logic regression

textabstractBackground: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable. Methods: For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated. Results: In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34%, and a negative predictive value (NPV) of 95%. In the validation sample, PPV was 33%, whereas NPV remained at 94%. In the construction sample, PPV was 50% or less in 63% of all variables, in the validation sample in 71% of all variables. Conclusions: We demonstrated that the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies

Biomarkers of Renal Disease and Progression in Patients with Diabetes

Diabetes prevalence is increasing worldwide, mainly due to the increase in type 2 diabetes. Diabetic nephropathy occurs in up to 40% of people with type 1 or type 2 diabetes. It is important to identify patients at risk of diabetic nephropathy and those who will progress to end stage renal disease. In clinical practice, most commonly used markers of renal disease and progression are serum creatinine, estimated glomerular filtration rate and proteinuria or albuminuria. Unfortunately, they are all insensitive. This review summarizes the evidence regarding the prognostic value and benefits of targeting some novel risk markers for development of diabetic nephropathy and its progression. It is focused mainly on tubular biomarkers (neutrophil-gelatinase associated lipocalin, kidney injury molecule 1, liver-fatty acid-binding protein, N-acetyl-beta-d-glucosaminidase), markers of inflammation (pro-inflammatory cytokines, tumour necrosis factor-α and tumour necrosis factor-α receptors, adhesion molecules, chemokines) and markers of oxidative stress. Despite the promise of some of these new biomarkers, further large, multicenter prospective studies are still needed before they can be used in everyday clinical practice