ABSTRACT
The rationale of the current study was to assess the prevalence of 25-hydroxyvitamin D (25-OHD) deficiency and hyperparathyroidism in South Indian population and to explore interrelationships of 25-OHD, Ca, P towards parathyroid hormone (PTH) production using adaptive neuro-fuzzy inference system (ANFIS). A total of 407 subjects (228 men 179 women) with the mean age 56.8 ± 14.1 were tested for these parameters. In view of the skewed distribution of biochemical variables, data segregation was performed in tertiles and this data was trained to generate fuzzy interference system based on subclusters. The optimized model had 358 nodes and followed 44 fuzzy rules for prediction. This ANFIS model demonstrates that the deficiency of 25-OHD and Calcium triggers PTH production. PTH elevation is significant when Phosphorus is in the highest tertile. The associations observed by this model were consistent with the Kendall-Tau correlation matrix, which revealed inverse associations of Ca with P; and Ca with PTH and positive associations of P with PTH, and Ca with 25-OHD. Furthermore, the association statistics of the machine learning algorithm were also consistent, which suggested that depletion of Ca below 8.245 mg/dl was shown to elevate PTH levels greater than 167 pg/ml when P > 4.66. Subnormal depletion in 25-OHD (9.3-16.2 ng/ml) is associated with subnormal elevation in PTH (47-73.6 pg/ml). To conclude, ANFIS and machine learning algorithm are in agreement with each other in stating that 25-OHD deficiency triggers lower calcium levels, lower calcium and higher phosphorus trigger PTH production.
ABSTRACT
Decompensation followed by death is the most serious outcome in patients suffering from cirrhosis of the liver. Alteration of trace elements may play a vital role in the process of decompensation. To examine the change in status of trace elements during the decompensation process, we analysed the zinc, copper, iron, magnesium, bilirubin and albumin levels in the serum of compensated (n = 34) and decompensated (n = 31) liver cirrhosis patients and compared them with healthy control group (n = 36) by post hoc ANOVA. We observed significant alteration in the selected micronutrients in the diseased group relative to healthy controls (P < 0.05). Moreover, mean serum zinc and iron levels were significantly lower with a higher level of serum copper in decompensated cirrhosis group than in compensated group (P < 0.05). However, no significant decrease of serum magnesium was found between the two diseased groups. Our findings imply that the trace elements like zinc, copper and iron might exert important contributory roles in decompensation process in liver cirrhosis and hence, may be utilized as important biomarkers for these patients. Furthermore, we propose that replacements of those micronutrients at an early stage can delay or prevent the severe outcomes like hepatic encephalopathy, gastrointestinal bleeding, severe jaundice or ascites in these patients.
