Periodic Indices of Serum Amyloid A Following Rumenotomy with Assorted Local Anaesthetics and Sutures in the Sahel Goat

Abstract

<strong>Objective-</strong> This study aims at validating the use of serum amyloid A (SAA) as biomarkers of surgical stress using Quantitative ELISA in the Sahel goats. The experiment evaluated SAA profiles of Sahel goats post Diazepam-Lidocaine (DLC) and Diazepam-Bupivacaine (DBC) local anaesthesia. Expressions of SAA in the Sahel goat post rumen skin clamp fixation techniques of rumenotomy with Polyglycolic acid sutures (PGA) and chromic catgut sutures were also expounded.<br /> <strong>Design-</strong> Experimental Study.<br /> <strong>Animals-</strong> Fifteen Sahel goats were randomly allocated into three groups A, B and C for quantitative ELISA evaluation of Serum Amyloid A (SAA) profiles post local anaesthesia and laparo-rumenotomy, as biomarkers of surgical stress.<br /> <strong>Procedures-</strong> Diazepam at 0.2mg/kg was administered intravenously to sedate goats in groups A and B with subsequent lidocaine HCl and bupivacaine inverted-L block anaesthesia respectively. Chromic catgut (CCG) and Polyglycolic Acid (PGA) sutures were used for rumen and abdominal muscle closures for groups A and B respectively while nylon for skin apposition. Blood samples were collected via jugular venipuncture to establish baseline data after local anaesthesia (PAI) and at 0, 5, 8, 24, 48 and 72 hours after surgery.<br /> <strong>Results-</strong> Group A peak SAA values was 9.29±0.43 µg/mL at 8hrs post-surgery while goats in group B had a peak of 10.94±1.22 µg/mL SAA at 24hrs post-surgery. SAA responses of group A indicates stress at 0hr steadily throughout the first 72 hours but peaked at 8hrs post-surgery. Similarly, group B showed significant stress at 8 hours onwards with peak values at 24 and 48 hours post-surgery.<br /> <strong>Conclusion and Clinical Relevance-</strong> SAA as an acute phase protein could be used to determine early complications following laparo-rumenotomy in the goat and offers good prognosis especially when several APP variables are combined in an index.