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BACKGROUND: Post thyroidectomy hypocalcemia is a common complication. Post thyroidectomy PTH estimation at varying cut offs and time have been used to predict hypocalcemia and aid in early and safe discharge. Single post thyroidectomy PTH values may be spuriously normal or high in a patient that subsequently develops unanticipated low calcium levels. This study aimed to evaluate the percentage change in preoperative and postoperative PTH (Gradient) in predicting post thyroidectomy hypocalcemia. METHODS: Forty-one patients of thyroidectomy had PTH preoperatively, postoperatively one-hour (PTH0) and day 1 (PTH1). PTH gradient was calculated as percentage change in postoperative PTH to preoperative (PTHG0, PTHG1). Hypocalcemia was categorized into mild or severe based on corrected calcium values and presence of clinical signs and/or symptoms of hypocalcemia. RESULTS: Ten (24.3%) and 11 (26.8%) patients had mild and severe hypocalcemia, respectively. PTHG0 and PTHG1 were significantly associated with risk for hypocalcemia (P-0.006 vs P-0.002). Higher PTH0 and PTH1 gradients were significantly associated with risk of hypocalcemia (PTH0 gradient OR-0.006, 95% CI 0.00-0.175, P-0.006; PTH1 gradient OR- 0.008, 95% CI 0.00-0.166, P-0.002). PTH0 gradient was the best predictor of hypocalcemia (AUC 0.855, SE-0.065, 95% CI0.710 to 0.945, P value <0.001) and PTH1 value was a better predictor of severe/clinical hypocalcemia (AUC 0.844, SE-0.072, 95% CI 0.697 to 0.938, P- value-0.001). Based on ROC, cutoffs of PTH0 gradient and PTH1 gradient for predicting hypocalcemia and severe/clinical hypocalcemia were taken as 60% and 75%, respectively (sensitivity 70%, specificity 90.5% for hypocalcemia; sensitivity 65%, specificity 90.9% for severe hypocalcemia). CONCLUSION: PTH gradient may be a better predictor of hypocalcemia and PTH1 gradient of >75% correlates with high risk of severe/clinical post thyroidectomy hypocalcemia.
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BACKGROUND: Ultrasonography (US) is an indispensable tool in the management of thyroid nodules, not only for assessing tumor characteristics but also to assign risk of malignancy and guide in management. Various guidelines and US-based risk stratification systems have been proposed for this purpose. This study aims to compare the diagnostic performances of multimodal US-based risk scores (French TIRADS, TMC-RSS) with conventional US-based scoring systems (Korean TIRADS, ACR-TIRADS, ATA risk stratification). MATERIAL AND METHODS: A total of 168 nodules from 139 patients were studied and categorized in each of the risk stratification systems. Sensitivity, specificity, positive and negative predictive values, and accuracy of each system were computed. ROC curves were plotted and area under curve (AUC) for each scoring system noted. RESULTS: Thirty five (21%) of the 168 nodules were malignant on final histopathological examination. TMC-RSS fared the best in predicting malignant nodules with a sensitivity of 96.2% and specificity of 88.6%, while the PPV and NPV were 97% and 86.1%, respectively. The AUC for TMC-RSS was 0.924 (95% CI, 0.860-0.988; P < 0.001). CONCLUSION: Multimodal US-based risk stratification incorporating non-grayscale characteristics in addition to conventional systems like the TMC-RSS improves the diagnostic performance of ultrasound imaging of thyroid nodules.
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BACKGROUND: Postoperative hypocalcaemia (POH) after total thyroidectomy (TT) is a common complication. Parathyroid hormone (PTH), an accurate predictor of POH cannot assess intra-operative viability of parathyroid glands (PGs). Different dyes including indocyanine green or carbon nanoparticles have been used, but they are expensive and not widely available. Fluorescein green dye (FD) has been used as a low-cost alternative to study viability of various organs, but seldom tried in visualizing PGs. This novel study aims to assess utility of FD in determining parathyroid viability and predicting POH. MATERIAL AND METHOD: Total 72 out of 88 patients undergoing TT between January and December 2019 were included. Two ml of 25% FD was given intravenously before wound closure and attempts were made to visualize PGs under blue light. A numerical score was given according to the number of PGs visualized. Intact-PTH and corrected calcium were measured on postoperative day 1 and patients observed for POH. RESULTS: No PGs were visualized in 6 patients, 1 in 13, 2 in 30, 3 in 16 & 4 in 7 patients. Mean PTH was 6, 16.9, 31.6, 33.2 and 48.5 respectively. Corrected-calcium was 7.08, 7.7, 7.9, 8.5 and 8.5 respectively. All patients with score 0 received supplementary IV calcium, while 53.8% (score-1), 30% (score-2), 0% (scores-3, 4) received the same. Sensitivity, specificity and ROC of PG score of ≥2 on FD in predicting POH were 100%, 44% and 0.83 respectively. CONCLUSION: FD visualization of parathyroids post TT is feasible and can be used as low cost efficacious method to predict POH.
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BACKGROUND: Breast cancer (BC) is associated with advanced presentation in developing countries like India due to various socio-economic factors. The presence of BC molecular subtypes such as the triple-negative (TN) subtype adds to this menace. Androgen receptor (AR) is emerging as a new biological marker. The aim of this study was to examine the prevalence of AR with relation to different BC subtypes, and its role in predicting response to neoadjuvant chemotherapy. METHODS: 116 cases of invasive BC (infiltrating ductal carcinoma, not otherwise specified) were evaluated. AR expression was correlated with clinicopathological factors, established prognostic markers, BC subtypes and it ability for predicting response to neoadjuvant chemotherapy. RESULTS: AR was expressed in 56% of the cases. AR expression was significantly associated with early stage (p < 0.03), low axillary burden (p < 0.04), estrogen receptor (p = 0.002), progesterone receptor (p = 0.001) expression and luminal A molecular subtype. No significant association was observed with age, tumor size and HER2/neu status. One-third of TNBC cases expressed AR. Higher AR expression corelated to good clinical response to neoadjuvant chemotherapy. CONCLUSION: AR can be utilized as a predictor of response to neoadjuvant chemotherapy especially in developing countries such as India where the load of advanced disease is high.