Total body water and sicca symptoms in primary Sjögren's syndrome.

OBJECTIVES: To evaluated the total body water (TBW) among patients with primary Sjögren's syndrome (pSS) and assess its correlation with the severity of oral and ocular sicca symptoms, and some objective sicca variables. METHODS: We included 85 patients and 85 controls matched by sex, age, and body mass index (BMI). We assessed the Schirmer-I test and the non-stimulated whole salivary flow (NSWSF). We evaluated ocular and oral symptoms during the past 15 days using a 0-10 visual analogue scale (VAS) (highest score=worst symptoms). We obtained the TBW by bioelectric impedance analysis. RESULTS: 80% were women (mean age 54.8 years and mean disease duration 11.5 years). TBW was similar in pSS and controls (46.8±4.6 vs. 46.9±4.5, p=0.88). TBW correlated with age (ρ=-0.25, p=0.02), disease duration (ρ=-0.30, p=0.005), BMI (ρ=-0.78, p=0.001) and ocular VAS scale (ρ=-0.28, p=0.01); but not with NSWSF, Schirmer test or oral VAS scale. When comparing patients in the lowest TBW percentile (≤25%) with the remaining patients, the former group was older, had longer disease duration, higher BMI, lower frequency of anti-Ro/SSA and antinuclear antibodies, and higher ocular VAS scores. In the multivariate analysis, the ocular VAS score (OR 1.88, 95% CI 1.08-3.2, p=0.02) and the BMI 1.92 (OR 1.4, 95% CI 1.4-2.66, p=0.0001) remained associated with a lower TBW percentage. CONCLUSIONS: Patients with pSS had similar TBW percentages to control subjects. However, lower TBW percentages in the pSS were associated with higher BMI and also with the most severe ocular symptoms.

Primary Barriers of Adherence to a Structured Nutritional Intervention in Patients with Dyslipidemia.

PURPOSE: To describe the primary barriers to adequately adhering to a structured nutritional intervention. PATIENTS AND METHODS: A total of 106 participants diagnosed with dyslipidemia and without a medical nutrition therapeutic plan were included in this two-year study conducted at the INCMNSZ dyslipidemia clinic in Mexico City. All patients were treated with the same structured strategies, including three face-to-face visits and two telephone follow-up visits. Diet plan adherence was evaluated at each site visit through a 3-day or 24-h food recall. RESULTS: Barriers to adhere to the nutritional intervention were: lack of time to prepare their meals (23%), eating outside the home (19%), unwillingness to change dietary patterns (14%), and lack of information about a correct diet for dyslipidemias (14%). All barriers decreased significantly at the end of the intervention. Female gender, current smoking, and following a plan of more than 1500 kcal (R2 = 0.18 and p-value = 0.004) were associated with good diet adherence. Participants showed good levels of adherence to total caloric intake at visit 2 and 3, reporting 104.7% and 95.4%, respectively. Adherence to macronutrient intake varied from 65.1% to 126%, with difficulties in adhering to recommended carbohydrate and fat consumption being more notable. CONCLUSION: The study findings confirm that a structured nutritional intervention is effective in reducing barriers and improving dietary adherence and metabolic control in patients with dyslipidemias. Health providers must identify barriers to adherence early on to design interventions that reduce these barriers and improve adherence.

A Higher Fructose Intake Is Associated with Greater Albuminuria in Subjects with Type 2 Diabetes Mellitus.

The aim of this single center cross-sectional study was to investigate the association between fructose intake and albuminuria in subjects with type 2 diabetes mellitus (T2DM). This is a single center cross-sectional study. One hundred and forty-three subjects with T2DM were recruited from the Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran. The median daily fructose intake was estimated with a prospective food registry during 3 days (2 week-days and one weekend day) and they were divided into low fructose intake (<25 g/day) and high fructose intake (≥ 25 g/day). Complete clinical and biochemical evaluations were performed, including anthropometric variables and a 24-hour urine collection for albuminuria determination. One hundred and thirty-six subjects were analyzed in this study. We found a positive significant association between daily fructose intake and albuminuria (ρ= 0.178, p=0.038) in subjects with type 2 diabetes mellitus. Other variables significantly associated with albuminuria were body mass index (BMI) (ρ= 0.170, p=0.048), mean arterial pressure (MAP) (ρ= 0.280, p=0.001), glycated hemoglobin (A1c) (ρ= 0.197, p=0.022), and triglycerides (ρ= 0.219, p=0.010). After adjustment for confounding variables we found a significant and independent association between fructose intake and albuminuria (ß= 13.96, p=0.006). We found a statistically significant higher albuminuria (60.8 [12.8-228.5] versus 232.2 [27.2-1273.0] mg/day, p 0.002), glycated hemoglobin (8.6±1.61 versus 9.6±2.1 %), p= 0.003, and uric acid (6.27±1.8 versus 7.2±1.5 mg/dL), p=0.012, in the group of high fructose intake versus the group with low fructose intake, and a statistically significant lower creatinine clearance (76.5±30.98 mL/min versus 94.9±36.8, p=0.014) in the group with high fructose intake versus the group with low fructose intake. In summary we found that a higher fructose intake is associated with greater albuminuria in subjects with T2DM.