Varying Course of External Branch of Superior Laryngeal Nerve (EBSLN) and Recurrent Laryngeal Nerve (RLN) in Thyroidectomy-An Observational Study.

Surgical management of a diseased thyroid depends on sonological and pathological evaluation and thereby, planning of the surgery. The definite surgery has two objectives: removal of the diseased gland and preservation of the nerves, namely EBSLN (External Branch of Superior Laryngeal Nerve) and RLN (Recurrent Laryngeal Nerve) and the Parathyroid glands. The objectives of the study were: (1) To identify the course of the RLN and EBSLN of both sides, during Thyroidectomy. (2) To discern various anatomical landmarks, the relations of the two nerves with them and anatomical variations, if any. In this Prospective observational study, fifty selected goitre patients underwent various types of thyroidectomies based on sonological and cytological criteria. The course and anatomical variations of EBSLN and RLN were photo-documented and results were analysed. Most of the EBSLN were found as Cernea type 1 type (25 out of 50), followed by Cernea type 2a (comprising 36%). The least common was type 2b. It was found that 36 out of 50 (72%) of RLN passed posterior to Inferior Thyroid Artery (ITA). Moreover, before piercing cricothyroid joint, the RLN showed bifurcation in 13 out of 50 subjects (26%), 1 participant had trifurcation and the remaining 36 (72%) had a single trunk. The EBSLN shows relation to the horizontal plane passing through the upper pole of the thyroid gland and it is more prone to get damaged when it passes within less than 1 cm to the plane. The RLN has various relations to the distinct anatomical landmarks thereby helping in safe dissection of the nerve. The study also noted the RLN in relation to ITA and branching before entering into the cricothyroid joint.

A multidimensional functional fitness score has a stronger association with type 2 diabetes than obesity parameters in cross sectional data.

OBJECTIVES: We examine here the association of multidimensional functional fitness with type 2 diabetes mellitus (T2DM) as compared to anthropometric indices of obesity such as body mass index (BMI) and waist to hip ratio (WHR) in a sample of Indian population. RESEARCH DESIGN AND METHOD: We analysed retrospective data of 663 volunteer participants (285 males and 378 females between age 28 and 84), from an exercise clinic in which every participant was required to undergo a health related physical fitness (HRPF) assessment consisting of 15 different tasks examining 8 different aspects of functional fitness. RESULTS: The odds of being diabetic in the highest quartile of BMI were not significantly higher than that in the lowest quartile in either of the sexes. The odds of being a diabetic in the highest WHR quartile were significantly greater than the lowest quartile in females (OR = 4.54 (1.95, 10.61) as well as in males (OR = 3.81 (1.75, 8.3). In both sexes the odds of being a diabetic were significantly greater in the lowest quartile of HRPF score than the highest (males OR = 10.52 (4.21, 26.13); females OR = 10.50 (3.53, 31.35)). After removing confounding, the predictive power of HRPF was significantly greater than that of WHR. HRPF was negatively correlated with WHR, however for individuals that had contradicting HRPF and WHR based predictions, HRPF was the stronger predictor of T2DM. CONCLUSION: The association of multidimensional functional fitness score with type 2 diabetes was significantly stronger than obesity parameters in a cross sectional self-selected sample from an Indian city.

Inferring causal pathways among three or more variables from steady-state correlations in a homeostatic system.

Cross-sectional correlations between two variables have limited implications for causality. We examine here whether it is possible to make causal inferences from steady-state data in a homeostatic system with three or more inter-correlated variables. Every putative pathway between three variables makes a set of differential predictions that can be tested with steady state data. For example, among 3 variables, A, B and C, the coefficient of determination, [Formula: see text] is predicted by the product of [Formula: see text] and [Formula: see text] for some pathways, but not for others. Residuals from a regression line are independent of residuals from another regression for some pathways, but positively or negatively correlated for certain other pathways. Different pathways therefore have different prediction signatures, which can be used to accept or reject plausible pathways using appropriate null hypotheses. The type 2 error reduces with sample size but the nature of this relationship is different for different predictions. We apply these principles to test the classical pathway leading to a hyperinsulinemic normoglycemic insulin-resistant, or pre-diabetic, state using four different sets of epidemiological data. Currently, a set of indices called HOMA-IR and HOMA-ß are used to represent insulin resistance and glucose-stimulated insulin response by ß cells respectively. Our analysis shows that if we assume the HOMA indices to be faithful indicators, the classical pathway must in turn be rejected. In effect, among the populations sampled, the classical pathway and faithfulness of the HOMA indices cannot be simultaneously true. The principles and example shows that it is possible to infer causal pathways from cross sectional correlational data on three or more correlated variables.

Bi-stability in type 2 diabetes mellitus multi-organ signalling network.

Type 2 diabetes mellitus (T2DM) is believed to be irreversible although no component of the pathophysiology is irreversible. We show here with a network model that the apparent irreversibility is contributed by the structure of the network of inter-organ signalling. A network model comprising all known inter-organ signals in T2DM showed bi-stability with one insulin sensitive and one insulin resistant attractor. The bi-stability was made robust by multiple positive feedback loops suggesting an evolved allostatic system rather than a homeostatic system. In the absence of the complete network, impaired insulin signalling alone failed to give a stable insulin resistant or hyperglycemic state. The model made a number of correlational predictions many of which were validated by empirical data. The current treatment practice targeting obesity, insulin resistance, beta cell function and normalization of plasma glucose failed to reverse T2DM in the model. However certain behavioural and neuro-endocrine interventions ensured a reversal. These results suggest novel prevention and treatment approaches which need to be tested empirically.