Detection of clinical relapses in multiple sclerosis cohorts: construction and validation of a model based on administrative data.

Multiple sclerosis (MS) is the main cause of chronic disability in young people during their most productive years of life and therefore carries a high social and economic burden. The present study aimed to: (1) verify the capacity of an administrative data source to furnish data for constructing a model able to detect the occurrence of clinical relapses in MS patients and (2) validate the constructed theoretical model on a set of real-world data. Two MS experts identified some administrative variables as proxies of clinical relapses. Thereafter, the two MS experts analysed 889 events in 100 MS patients, considering only the administrative data relating to these patients, while a third neurologist independently analysed the real-world data (documented medical history) of the same patients in the same period. Absolute concordance between the theoretical model and the real-world data was found in 86 % of the events. The model we propose is easily and rapidly applicable, requiring the collection of just a few variables that are already present in local health authority administrative databases in Italy. It can be used to estimate, with a good level of reliability, the occurrence of relapses in various settings. Moreover, the model is also exportable to different and larger MS cohorts and could be useful for healthcare planning and for evaluating the efficacy of drugs in the real-world, thus favouring better resource allocation and management.

Possibility of myelodysplastic syndromes screening using a complete blood automated cell count.

Diagnosis of MDS has changed during the last years because of the 2008 WHO classification. Complete blood cell count (CBC) is a very important tool both for diagnosis of MDS. The aim of this study was to evaluate if it is possible to use the abnormal signals produced by dysplastic cells to produce a flag "dysplasia" able to identify the patients needing further hematological investigations. The proposed flag has been tested in a large group of patients to evaluate the sensibility and specificity. We create 5 patterns of MDS. Our study demonstrated that the flag "dysplasia" is specific and sensible for MDS.

Mid-stream vs. first-voided urine collection by using automated analyzers for particle examination in healthy subjects: an Italian multicenter study.

BACKGROUND: In analogy with other areas of laboratory diagnostics, the pre-analytical phase is the leading source of variability also in urinalysis. We carried out a multicentric study for comparing results obtained from first-voided and mid-stream urine samples. METHODS: Each of the six hospital-based clinical laboratories participating to this study recruited 50 healthy subjects among laboratory staff and/or their relatives. Two consecutive samples of the first morning micturition were collected by vacuum system, the first from the first-void and the second from the mid-stream. Routine urinalysis was performed using dip-stick automated analyzers for chemical examination and automated analyzers for formed particle examination (Sysmex UF-100, Sysmex UF-1000i and Iris iQ-200). RESULTS: Counts of epithelial cells (EC), erythrocytes (ERY) and leukocytes (LEU) but not for cylinders (CAS) were significantly higher in the first-voided samples. A significantly higher count of EC, ERY and LEU was also observed between females and males in first-voided samples, whereas no significant difference could be found in mid-stream samples. Health related analyzer specific upper reference limits (URL) were CAS≤1, EC≤5, ERY≤19, Leu≤13 for UF-100; CAS≤1, EC≤4, ERY≤15, Leu≤11 for UF-1000i; CAS≤1, EC≤4, ERY≤18, Leu≤10 for iQ200. The overall prevalence of subjects with cellular elements count exceeding URL was also higher in first-voided than in mid-stream samples. CONCLUSIONS: Mid-stream urine was confirmed as the most appropriate sample, since the presence of contaminating elements, such as bacteria, analytes and formed particles are minimized.

Low TGF-beta1 serum levels are a risk factor for atherosclerosis disease in ESRD patients.

BACKGROUND: It is thought that transforming growth factor-beta1 (TGF-beta1) might be a key inhibitor of atherogenesis in non-uremic patients. We evaluated the intra- and post-dialytic serum levels of TGF-beta1 in uremic patients to assess if TGF-beta1 is an independent risk factor for cardiovascular diseases, and if any correlation exists between TGF-beta1 and any yet known atherosclerotic risk factors. METHODS: We studied 155 patients who were on regular hemodialysis, with or without clinically significant atherosclerotic vascular disease. Forty-one apparently healthy people were enrolled as a control group. TGF-beta1 was evaluated during the midweek dialysis session, at times 0, 30, and 120 minues, at the end of the session, and 3 hours after the session's end. All hitherto known atherosclerotic risk factors also were evaluated. The investigation was performed over a 24-month follow-up. RESULTS: TGF-beta1 values (mean +/- SD) in dialysis patients were 26.64 +/- 7.0 ng/mL (N=155) compared with 42.31 +/- 6.0 ng/mL in the control group (N=41, P < 0.0001). A weak inverse correlation emerged between TGF-beta1 and age (r=-0.28), TGF-beta1 and lipoprotein(a) [Lp(a); r=-0.35], TGF-beta1 and C-reactive protein (CRP; r=-0.27), and TGF-beta1 and plasminogen activator inhibitor-1 (PAI-1; r=-0.41). TGF-beta1 also correlated with albumin (r=0.31). In the coronary heart disease (CHD) group (N=32) the TGF-beta1 was 26.2 +/- 4.9 ng/mL; in the cerebrovascular disease (CVD) group (N=8) it was 26.7 +/- 3.7 ng/mL and in the peripheral vascular disease (PVD) group (N=9) it was 25.4 +/- 1.7 ng/mL. In dialysis patients with no cardiovascular disease (N=80) TGF-beta1 was 35.1 +/- 6.8 ng/mL (P < 0.0001 vs. CHD, CVD and PVD patients). TGF-beta1 was significantly lower among those patients with triple coronary vessel disease than with the other CHD patients. The Cox analysis demonstrated that a 1 ng/mL reduction in TGF-beta1 concentration was associated with a 9% increase in the relative risk of a cardiovascular event. CONCLUSIONS: TGF-beta1 was significantly reduced in hemodialysis patients, in particular in those with severe cardiovascular disease. Baseline TGF-beta1, diabetes mellitus and serum albumin levels proved to be the only independent contributors to atherosclerotic risk in dialysis patients.