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1.
PLoS Med ; 17(2): e1003050, 2020 02.
Artigo em Inglês | MEDLINE | ID: mdl-32109242

RESUMO

BACKGROUND: In studies including the general population, the presence of non-malignant monoclonal gammopathy (MG) can be causally associated with kidney damage and shorter survival. We assessed whether the presence of an MG is associated with a higher risk of kidney failure or death in individuals with chronic kidney disease (CKD). METHODS AND FINDINGS: Data were used from 3 prospective cohorts of individuals with CKD (not on dialysis or with a kidney transplant): (1) Renal Impairment in Secondary Care (RIISC, Queen Elizabeth Hospital and Heartlands Hospital, Birmingham, UK, N = 878), (2) Salford Kidney Study (SKS, Salford Royal Hospital, Salford, UK, N = 861), and (3) Renal Risk in Derby (RRID, Derby, UK, N = 1,739). Participants were excluded if they had multiple myeloma or any other B cell lymphoproliferative disorder with end-organ damage. Median age was 71.0 years, 50.6% were male, median estimated glomerular filtration rate was 42.3 ml/min/1.73 m2, and median urine albumin-to-creatinine ratio was 3.4 mg/mmol. All non-malignant MG was identified in the baseline serum of participants of RIISC. Further, light chain MG (LC-MG) was identified and studied in participants of RIISC, SKS, and RRID. Participants were followed up for kidney failure (defined as the initiation of dialysis or kidney transplantation) and death. Associations with the risk of kidney failure were estimated by competing-risks regression (handling death as a competing risk), and associations with death were estimated by Cox proportional hazards regression. In total, 102 (11.6%) of the 878 RIISC participants had an MG. During a median follow-up time of 74.0 months, there were 327 kidney failure events and 202 deaths. The presence of MG was not associated with risk of kidney failure (univariable subhazard ratio [SHR] 0.97 [95% CI 0.68 to 1.38], P = 0.85; multivariable SHR 1.16 [95% CI 0.80 to 1.69], P = 0.43), and although there was a higher risk of death in univariable analysis (hazard ratio [HR] 2.13 [95% CI 1.49 to 3.02], P < 0.001), this was not significant in multivariable analysis (HR 1.37 [95% CI 0.93 to 2.00], P = 0.11). Fifty-five (1.6%) of the 3,478 participants from all 3 studies had LC-MG. During a median follow-up time of 62.5 months, 564 of the 3,478 participants progressed to kidney failure, and 803 died. LC-MG was not associated with risk of kidney failure (univariable SHR 1.07 [95% CI 0.58 to 1.96], P = 0.82; multivariable SHR 1.42 [95% CI 0.78 to 2.57], P = 0.26). There was a higher risk of death in those with LC-MG in the univariable model (HR 2.51 [95% CI 1.59 to 3.96], P < 0.001), but not in the multivariable model (HR 1.49 [95% CI 0.93 to 2.39], P = 0.10). An important limitation of this work was that only LC-MG, rather than any MG, could be identified in participants from SKS and RRID. CONCLUSIONS: The prevalence of MG was higher in this CKD cohort than that reported in the general population. However, the presence of an MG was not independently associated with a significantly higher risk of kidney failure or, unlike in the general population, risk of death.


Assuntos
Falência Renal Crônica/epidemiologia , Gamopatia Monoclonal de Significância Indeterminada/epidemiologia , Mortalidade , Insuficiência Renal Crônica/epidemiologia , Idoso , Idoso de 80 Anos ou mais , Albuminúria , Estudos de Coortes , Comorbidade , Creatinina/metabolismo , Progressão da Doença , Feminino , Taxa de Filtração Glomerular , Humanos , Cadeias Leves de Imunoglobulina , Falência Renal Crônica/metabolismo , Falência Renal Crônica/terapia , Transplante de Rim , Masculino , Pessoa de Meia-Idade , Gamopatia Monoclonal de Significância Indeterminada/metabolismo , Paraproteinemias/epidemiologia , Modelos de Riscos Proporcionais , Estudos Prospectivos , Diálise Renal , Insuficiência Renal Crônica/metabolismo , Reino Unido/epidemiologia
2.
Nephrol Dial Transplant ; 33(suppl_2): ii29-ii40, 2018 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-30137580

RESUMO

Diffusion-weighted magnetic resonance imaging (DWI) is a non-invasive method sensitive to local water motion in the tissue. As a tool to probe the microstructure, including the presence and potentially the degree of renal fibrosis, DWI has the potential to become an effective imaging biomarker. The aim of this review is to discuss the current status of renal DWI in diffuse renal diseases. DWI biomarkers can be classified in the following three main categories: (i) the apparent diffusion coefficient-an overall measure of water diffusion and microcirculation in the tissue; (ii) true diffusion, pseudodiffusion and flowing fraction-providing separate information on diffusion and perfusion or tubular flow; and (iii) fractional anisotropy-measuring the microstructural orientation. An overview of human studies applying renal DWI in diffuse pathologies is given, demonstrating not only the feasibility and intra-study reproducibility of DWI but also highlighting the need for standardization of methods, additional validation and qualification. The current and future role of renal DWI in clinical practice is reviewed, emphasizing its potential as a surrogate and monitoring biomarker for interstitial fibrosis in chronic kidney disease, as well as a surrogate biomarker for the inflammation in acute kidney diseases that may impact patient selection for renal biopsy in acute graft rejection. As part of the international COST (European Cooperation in Science and Technology) action PARENCHIMA (Magnetic Resonance Imaging Biomarkers for Chronic Kidney Disease), aimed at eliminating the barriers to the clinical use of functional renal magnetic resonance imaging, this article provides practical recommendations for future design of clinical studies and the use of renal DWI in clinical practice.


Assuntos
Biomarcadores/análise , Imagem de Difusão por Ressonância Magnética/métodos , Rim/patologia , Guias de Prática Clínica como Assunto/normas , Insuficiência Renal Crônica/fisiopatologia , Humanos
3.
J Healthc Eng ; 2020: 8862074, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33376586

RESUMO

Short-term cardiovascular compensatory responses to perturbations in the circulatory system caused by haemodialysis can be investigated by the spectral analysis of heart rate variability, thus providing an important variable for categorising individual patients' response, leading to a more personalised treatment. This is typically accomplished by resampling the irregular heart rate to generate an equidistant time series prior to spectral analysis, but resampling can further distort the data series whose interpretation can already be compromised by the presence of artefacts. The Lomb-Scargle periodogram provides a more direct method of spectral analysis as this method is specifically designed for large, irregularly sampled, and noisy datasets such as those obtained in clinical settings. However, guidelines for preprocessing patient data have been established in combination with equidistant time-series methods and their validity when used in combination with the Lomb-Scargle approach is missing from literature. This paper examines the effect of common preprocessing methods on the Lomb-Scargle power spectral density estimate using both real and synthetic heart rate data and will show that many common techniques for identifying and editing suspect data points, particularly interpolation and replacement, will distort the resulting power spectrum potentially misleading clinical interpretations of the results. Other methods are proposed and evaluated for use with the Lomb-Scargle approach leading to the main finding that suspicious data points should be excluded rather than edited, and where required, denoising of the heart rate signal can be reliably accomplished by empirical mode decomposition. Some additional methods were found to be particularly helpful when used in conjunction with the Lomb-Scargle periodogram, such as the use of a false alarm probability metric to establish whether spectral estimates are valid and help automate the assessment of valid heart rate records, potentially leading to greater use of this powerful technique in a clinical setting.


Assuntos
Diálise Renal , Frequência Cardíaca , Humanos
4.
Br J Hosp Med (Lond) ; 79(8): 438-443, 2018 Aug 02.
Artigo em Inglês | MEDLINE | ID: mdl-30070954

RESUMO

Chronic kidney disease is a global health problem that affects over 10% of adults worldwide. All doctors should have a basic knowledge of chronic kidney disease because it may complicate the management of many other medical conditions and is associated with numerous adverse outcomes. Chronic kidney disease should be regarded as a clinical syndrome rather than a specific diagnosis and attempts should always be made to identify the cause. Simple risk prediction tools have been developed to inform management decisions. Management is directed at slowing progression of chronic kidney disease and reducing the associated cardiovascular risk by treating hypertension, use of angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers as first-line therapy in high-risk cases, treatment with statins and lifestyle measures. Patients at high risk of rapid progression or requiring specific therapy as well as those with chronic kidney disease stage 4 or 5 should be referred to a nephrology service.


Assuntos
Doenças Cardiovasculares , Insuficiência Renal Crônica , Anti-Hipertensivos/classificação , Anti-Hipertensivos/uso terapêutico , Doenças Cardiovasculares/tratamento farmacológico , Doenças Cardiovasculares/epidemiologia , Tomada de Decisão Clínica , Progressão da Doença , Humanos , Insuficiência Renal Crônica/diagnóstico , Insuficiência Renal Crônica/epidemiologia , Insuficiência Renal Crônica/etiologia , Insuficiência Renal Crônica/terapia , Risco Ajustado/métodos , Fatores de Risco
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