Acid-base assessment of post-parturient German Holstein dairy cows from jugular venous blood and urine: A comparison of the strong ion approach and traditional blood gas analysis.

Evaluating acid-base status is important for monitoring dairy herd health. In a field study, we aimed to compare the acid-base status measured by net acid-base excretion (NABE) in urine with results of venous blood analysis in clinically healthy, but possibly metabolically burdened cows in their transition period. For this, we sampled blood from the jugular vein and urine from 145 German Holstein cows within 1 to 76 days post-partum. In blood, the metabolic parameters non-esterified fatty acids (NEFA) and ß-hydroxybutyrate (BHB), as well as numerous parameters of the acid-base status were measured. The traditional approach, based on bicarbonate concentration, base excess (BE) and anion gap (AG), was compared to the strong ion approach variables, e.g. acid total (Atot), measured strong ion difference (SIDm), strong ion gap (SIG), and unmeasured anions (XA), respectively. Results of both approaches were set against the outcome of urine analysis, i.e. the NABE, base-acid ratio and pH of urine, in a cluster analysis, which provided 7 moderately stable clusters. Evaluating and interpreting these 7 clusters offered novel insights into the pathophysiology of the acid-base equilibrium in fresh post-partum dairy cows. Especially in case of subclinical acid-base disorders, the parameters of the strong ion difference theory, particularly SIDm, Atot and SIG or XA, provided more in-depth information about acid-base status than the traditional parameters BE, bicarbonate or AG in blood. The acid-base status of fresh cows with protein aberrations in blood could be differentiated in a much better way using the strong ion approach than by traditional blood gas analysis or by the measurement of urinary excretion. Therefore, the strong ion approach seems to be a suitable supplement for monitoring acid-base balance in dairy cattle.

Assessment of iodine status and associated factors in vulnerable populations in Henan Province, China, in 2012.

BACKGROUND: Iodine content in table salt was adjusted from 30-50 mg/kg to 21-39 mg/kg from March of 2012 in Henan Province, China. The vulnerable population may be at risk of iodine deficiency. OBJECTIVES: To determine whether the iodine intake was sufficient in vulnerable populations and to investigate what factors may be associated with iodine status in these vulnerable populations in Henan Province, China. METHODS: A cross-sectional survey was conducted in 17 cities in Henan Province, China, from April 2012 to December 2012 to assess the iodine status in vulnerable populations, including women of reproductive-age (n=2648), pregnant women (n=39684), lactating women (n=6859), infants <2 years of age (n=16481), and children aged 8-10 years (n=3198). Questionnaires (n=4865) related to demographic and dietary factors were collected from the investigated women to identify factors that were related to iodine intake and iodine status. RESULTS: The median urinary iodine concentrations (mUICs) were 205 µg/L, 198 µg/L, 167 µg/L, 205 µg/L and 200 µg/L, respectively, in reproductiveage, pregnant and lactating women, infants <2 years of age and children aged 8-10 years. Higher income, and consuming more poultry and fish in the diet had positive impact on UIC levels. Low salt intake, consuming more rice and vegetables in the diet were negative factors for UIC. CONCLUSIONS: Iodine status of the vulnerable populations was generally adequate in Henan Province, China, according to WHO criteria. But the mUICs were slightly above the adequate level in reproductive-age women and children aged 8-10 years. It's important to monitor the iodine status in vulnerable populations after the adjustment on iodine content in table salt.

Energy expenditure by multisensor armband in overweight and obese lactating women validated by doubly labeled water.

OBJECTIVE: To validate total energy expenditure (TEE) and activity energy expenditure (AEE) from the portable SenseWear armband (SWA) Pro 2 (TEESWA and AEESWA ; InnerView software versions SWA 5.1 and SWA 6.1) against TEE from doubly labeled water (DLW) and AEE from DLW and indirect calorimetry (TEEDLW and AEEDLW ) in overweight/obese lactating women at 10 weeks postpartum. DESIGN AND METHODS: TEE was measured simultaneously with DLW (14 days) and SWA (first 7 days). Lactating women (n = 62), non-smoking, with a BMI > 25 kg/m(2) and wearing time SWA ≥ 90% were included. RESULTS: Mean TEESWA5.1 was overestimated with 85 kcal/day compared to TEEDLW (P = 0.040), while mean TEESWA6.1 was underestimated with 241 kcal/day compared to TEEDLW (P < 0.001). Mean AEESWA5.1 was similar to mean AEEDLW (P = 0.818), while mean AEESWA6.1 was underestimated with 581 kcal/day compared to AEEDLW (P < 0.001). TEESWA6.1 and AEESWA6.1 were systematically underestimated at higher levels of energy expenditure and BMI while only AEESWA5.1 was systematically overestimated at higher levels of energy expenditure. CONCLUSIONS: TEESWA5.1 and AEESWA5.1 were fairly estimated on a group level while TEESWA6.1 and AEESWA6.1 were significantly and systematically underestimated. Both SWA software versions showed large individual variation in agreement with TEEDLW and AEEDLW , limiting the validity on individual level.

Selected parameters in urine as indicators of milk production in lactating sows: a pilot study.

Although insufficient milk production in lactating sows may cause tremendous economic losses, reliable methods for estimating milk production in sows under field conditions are not available. This study aimed to investigate whether urine parameters could be used to predict milk production in sows. The milk production of 18 sows was determined during early and mid-lactation. Morning (a.m.) and afternoon (p.m.) urinary levels of potassium (K), sodium (Na), calcium (Ca), magnesium (Mg), lactose and creatinine were analysed. The absolute concentrations, the ratios relative to creatinine, and the fractional excretions of all elements in urine were not significantly associated with milk production. The p.m./a.m. ratios of K, Na and Ca concentrations in urine (K(R), Na(R), and Ca(R)) were significant predictors for milk production, but only during mid-lactation. The total variation in milk production (r(2) value) explained by K(R), Na(R), Ca(R) amounted to 72%, 55%, 42%, respectively. Analysis of minerals and especially K in the a.m. and p.m. urine of sows during mid-lactation provided an acceptable indication of milk production. Further research is necessary to investigate whether the present results can be used to estimate milk production in hypogalactic sows under field conditions.

Assessment and recommendations on factors contributing to preanalytical variability of urinary pyridinoline and deoxypyridinoline.

BACKGROUND: Pyridinoline (PYD) and deoxypyridinoline (DPD) are two of the most extensively characterized biochemical bone markers, but the interpretation of results is hampered by biologic and other preanalytical variability. We reviewed factors contributing to preanalytical variation of pyridinium cross-links in urine. METHODS: We searched four databases for English-language reports on PYD and/or DPD in urine. Searches were restricted to humans, except for studies of stability, when the search was expanded to other species. The 599 identified articles were supplemented with references from those articles and with articles known to the authors. RESULTS: The mean reported within-day variability was 71% for PYD (range, 57-78%) and 67% for DPD (range, 53-75%). The mean interday variability was 16% for both DPD and PYD (range for PYD, 12-21%; range for DPD, 5-24%). The mean intersubject variabilities across studies were 26% for PYD (range, 12-63%) and 34% for DPD (range, 8-98%) for healthy premenopausal women and 36% (range, 22-61%) and 40%, (range, 27-54%) for postmenopausal women, respectively. Specimen instability and errors in creatinine measurements were additional sources of variability. CONCLUSIONS: Intra- and intersubject variability can be reduced by collecting specimens at a specific time of the day and by maintaining similar patient status at each specimen collection regarding factors such as medications and dietary supplements.