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J Morató Griera

Publications and source records attributed to J Morató Griera.

4 recordsLinked to original sources
PubMed2004

[Diagnosing type 2 diabetes mellitus: in primary care, fasting plasma glucose and glycosylated haemoglobin do the job].

OBJECTIVE: To determine the validity of glycosylated hemoglobin (HbA1c) values as a method to diagnose type 2 diabetes mellitus (DM2) in a population at risk seen in primary care. DESIGN: Cross-sectional analytical study. SETTING: Data were obtained for the Raval Sud study population (epidemiologic study of alterations in glucose metabolism in a population at risk). PARTICIPANTS: 454 subjects from this population (mean age, 65 +/- 3 years; 52% male) at high risk for DM2, seen at a primary care center, were included in the study. MAIN MEASURES: We recorded demographic data and laboratory values for fasting plasma glucose (FPG), oral glucose tolerance test (OGTT), and HbA1c. The diagnostic criteria used for DM2 were those published by the WHO in 1999. Values for HbA1c were expressed as the number of standard deviations (SD) above the mean. RESULTS: Levels of HbA1c correlated with FPG (r=0.72) and glucose levels 2 h after oral glucose overload (r=0.43). Thirty percent of the patients with FPG between 110 and 125 mg/dL had HbA1c values higher than the reference limits. A combined technique based on FPG>125 mg/dL or FPG 110-125 mg/dL with HbA1c > or = 3 SD (5.94%) showed a sensitivity of 92% and a specificity of 95%. CONCLUSIONS: When FPG is inconclusive (110-125 mg/dL), an HbA1c value more than 3 standard deviations above the mean (>5.94%) is useful in suggesting a likely diagnosis of diabetes and identifying patients who require treatment.

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PubMed1996

[Dyslipemia in type-2 diabetes. A risk factor for macroangiopathy?].

OBJECTIVE: To study the association of dyslipemia with macroangiopathy in patients with type II diabetes mellitus. DESIGN: Descriptive crossover study. SETTING: An urban health district with a socially and economically depressed elderly population. PATIENTS: A randomised sample among the diabetics registered in the health district (n = 449). MEASUREMENTS AND MAIN RESULTS: Different factors in the lipidic profile were studied, as was the presence of diabetic macroangiopathy and some of the associated risk factors. The following were considered cut-off figures with a predictive value of cardiovascular risk: overall cholesterol >or= 240 mg/dl (40% of the sample), HDL < 35 mg/dl (27%), LDL >or= 160 mg/dl (43%), triglycerides >or= 200 mg/dl (25%), atherogenic index >or= 4.5 (73%) and HDL/LDL balance >or= 0.2 (83%). 85.5% of the diabetics in the sample presented one of the lipidic disorders mentioned above. In the multivariant analysis only hypertriglyceridaemia was associated with a higher prevalence of peripheral vasculopathy. CONCLUSIONS: A high percentage of patients with type II DM presented disorders in their lipidic profile. But, unlike the norm in the general population, only hypertriglyceridaemia displayed a statistically significant association with diabetic macroangiopathy. The role of the other dyslipemic factors was limited.

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PubMed1995

[Nephropathy and microalbuminuria in type II diabetes].

OBJECTIVE: To study the population receiving care to find the prevalence of diabetic Nephropathy (DNP) and its association with possible risk factors in type 2 Diabetes Mellitus. DESIGN: A descriptive crossover study. SETTING: An urban health district with an aged and socio-economically depressed population. PATIENTS: Randomised sampling among the health district's registered diabetics (n = 198). MEASUREMENTS AND MAIN RESULTS: Among other parameters, the values of Proteinuria and Microalbuminuria in 24 hour's urine and of serum Creatinine were analysed. On the basis of these values the four stages of DNP were established: I) Normality, II) Microalbuminuria, III) Proteinuria, IV) Renal failure. The prevalences recorded were 33.8%, 51%, 11.1% and 4%, respectively. Also studied was the value of Microalbuminuria measured at random by reactive strips dipped in urine, which displayed 78% sensitivity and 68% specificity. The most notable of the DNP risk factors were how long the DM had evolved (p = 0.005). Age (p = 0.02), the value of the glucosilated haemoglobin (p = 0.03) and of the triglycerides (p = 0.03) were also related factors. On analysing the association of DNP with other chronic complications of DM, a statistical relationship to the presence of Retinopathy (p < 0.001) and peripheric Vasculopathy (p < 0.001) was observed. CONCLUSIONS: The presence of some stage of DNP among the type 2 DM population is very common. Only 33.8% of the sample was normal regarding the urinary excretion of proteins. Microalbuminuria quantified at random with reactive strips has low specificity. The highest risk factor for DNP is the length of the DM's evolution, with age and metabolic control of the disease also being important.

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