Don't chase the adenoma: A probabilistic approach to imaging before parathyroidectomy.

BACKGROUND: Preoperative imaging before parathyroidectomy can localize adenomas and reduce unnecessary bilateral neck explorations. We hypothesized that (1) the utility of preoperative imaging varies substantially depending on the preoperative probability of having adenoma(s) and (2) that a selective imaging approach based on this probability could avoid unnecessary patient costs and radiation. METHODS: We analyzed 3,577 patients who underwent parathyroidectomy for primary hyperparathyroidism from 2001 to 2022. The predicted probability of patients having single or double adenoma versus hyperplasia was estimated using logistic regression. We then estimated the relationship between the predicted probability of single/double adenoma and the likelihood that sestamibi or 4-dimensional computed tomography was helpful for operative planning. Current Medicare costs and published data on radiation dosing were used to calculate costs and radiation exposure from non-helpful imaging. RESULTS: The mean age was 62 ± 13 years; 78% were women. Adenomas were associated with higher mean calcium (11.2 ± 0.74 mg/dL) and parathyroid hormone levels (140.6 ± 94 pg/mL) than hyperplasia (9.8 ± 0.52 mg/dL and 81.4 ± 66 pg/mL). The probability that imaging helped with operative planning increased from 12% to 65%, as the predicted probability of adenoma increased from 30% to 90%. For every 10,000 patients, a selective approach to imaging that considered the preoperative probability of having adenomas could save patients up to $3.4 million and >239,000 millisieverts of radiation. CONCLUSION: Rather than imaging all patients with primary hyperparathyroidism, a selective strategy that considers the probability of having adenomas could reduce costs and avoid excess radiation exposure.

Online Information for Treatment for Low-Risk Thyroid Cancer: Assessment of Timeliness, Content, Quality, and Readability.

The Internet is a key source of health information, yet little is known about resources for low-risk thyroid cancer treatment. We examined the timeliness, content, quality, readability, and reference to the 2015 American Thyroid Association (ATA) guidelines in websites about thyroid cancer treatment. We identified the top 60 websites using Google, Bing, and Yahoo for "thyroid cancer." Timeliness and content analysis identified updates in the ATA guidelines (n = 6) and engaged a group of stakeholders to develop essential items (n = 29) for making treatment decisions. Website quality and readability analysis used 4 validated measures: DISCERN; Journal of the American Medical Association (JAMA) benchmark criteria; Health on the Net Foundation certification (HONcode); and the Suitability Assessment of Materials (SAM) method. Of the 60 websites, 22 were unique and investigated. Content analysis revealed zero websites contained all updates from the ATA guidelines and rarely (18.2%) referenced them. Only 31.8% discussed all 3 treatment options: total thyroidectomy, lobectomy, and active surveillance. Websites discussed 28.2% of the 29 essential items for making treatment decisions. Quality analysis with DISCERN showed "fair" scores overall. Only 29.9% of the JAMA benchmarks were satisfied, and 40.9% were HONcode certified. Readability analysis with the SAM method found adequate readability, yet 90.9% scored unsuitable in literacy demand. The overall timeliness, content, quality, and readability of websites about low-risk thyroid cancer treatment is fair and needs improvement. Most websites lack updates from the 2015 ATA guidelines and information about treatment options that are necessary to make informed decisions.

Post-thyroidectomy emergency room visits and readmissions: Assessment from the Collaborative Endocrine Surgery Quality Improvement Program (CESQIP).

BACKGROUND: This study analyzed independent factors associated with post-thyroidectomy Emergency Room (ER) visits and Hospital Readmissions (HR). METHODS: This is a retrospective review from the CESQIP registry of 8381 thyroidectomy patients by 173 surgeons at 46 institutions. A total of 7142 ER visits and 7265 HR were analyzed. Multivariable logistic regression analysis was performed to determine the risk factors for an ER visit or HR. RESULTS: Within 30-days of surgery, rates of all ER visits were 3.4% (n = 250) and all HR were 2.3% (n = 170). Hypocalcemia was the reason for 21.9% of ER encounters and 36.4% of HR. BMI >40 kg/m2 was a risk factor for both ER visit (OR1.86) and HR (OR1.94). Surgical duration >3 h (OR2.63), and transection of recurrent laryngeal nerve (OR4.58) were risk factors for HR. CONCLUSIONS: Strategies to decrease hypocalcemia and improve perioperative care of patients with BMI >40 kg/m2 may improve post-thyroidectomy outcome.

Optimizing Levothyroxine Dose Adjustment After Thyroidectomy With a Decision Tree.

BACKGROUND: After thyroidectomy, patients require Levothyroxine (LT4). It may take years of dose adjustments to achieve euthyroidism. During this time, patients encounter undesirable symptoms associated with hypo- or hyper-thyroidism. Currently, providers adjust LT4 dose by clinical estimation, and no algorithm exists. The objective of this study was to build a decision tree that could estimate LT4 dose adjustments and reduce the time to euthyroidism. METHODS: We performed a retrospective cohort analysis on 320 patients who underwent total or completion thyroidectomy at our institution. All patients required one or more LT4 dose adjustments from their initial postoperative dose before attaining euthyroidism. Using the Classification and Regression Tree algorithm, we built various decision trees from patient characteristics, estimating the dose adjustment to reach euthyroidism. RESULTS: The most accurate decision tree used thyroid-stimulating hormone values at first dose adjustment (mean absolute error = 13.0 µg). In comparison, the expert provider and naïve system had a mean absolute error of 11.7 µg and 17.2 µg, respectively. In the evaluation dataset, the decision tree correctly predicted the dose adjustment within the smallest LT4 dose increment (12.5 µg) 79 of 106 times (75%, confidence interval = 65%-82%). In comparison, expert provider estimation correctly predicted the dose adjustment 76 of 106 times (72%, confidence interval = 62%-80%). CONCLUSIONS: A decision tree predicts the correct LT4 dose adjustment with an accuracy exceeding that of a completely naïve system and comparable to that of an expert provider. It can assist providers inexperienced with LT4 dose adjustment.

Cost-effectiveness of lobectomy versus genetic testing (Afirma®) for indeterminate thyroid nodules: Considering the costs of surveillance.

BACKGROUND: We evaluated whether diagnostic thyroidectomy for indeterminate thyroid nodules would be more cost-effective than genetic testing after including the costs of long-term surveillance. METHODS: We used a Markov decision model to estimate the cost-effectiveness of thyroid lobectomy versus genetic testing (Afirma®) for evaluation of indeterminate (Bethesda 3-4) thyroid nodules. The base case was a 40-year-old woman with a 1-cm indeterminate nodule. Probabilities and estimates of utilities were obtained from the literature. Cost estimates were based on Medicare reimbursements with a 3% discount rate for costs and quality-adjusted life-years. RESULTS: During a 5-year period after the diagnosis of indeterminate thyroid nodules, lobectomy was less costly and more effective than Afirma® (lobectomy: $6,100; 4.50 quality-adjusted life- years vs Afirma®: $9,400; 4.47 quality-adjusted life-years). Only in 253 of 10,000 simulations (2.5%) did Afirma® show a net benefit at a cost-effectiveness threshold of $100,000 per quality- adjusted life-years. There was only a 0.3% probability of Afirma® being cost saving and a 14.9% probability of improving quality-adjusted life-years. CONCLUSIONS: Our base case estimate suggests that diagnostic lobectomy dominates genetic testing as a strategy for ruling out malignancy of indeterminate thyroid nodules. These results, however, were highly sensitive to estimates of utilities after lobectomy and living under surveillance after Afirma®.

Variation in the Types of Providers Participating in Breast Cancer Follow-Up Care: A SEER-Medicare Analysis.

BACKGROUND: The current guidelines do not delineate the types of providers that should participate in early breast cancer follow-up care (within 3 years after completion of treatment). This study aimed to describe the types of providers participating in early follow-up care of older breast cancer survivors and to identify factors associated with receipt of follow-up care from different types of providers. METHODS: Stages 1-3 breast cancer survivors treated from 2000 to 2007 were identified in the Surveillance, Epidemiology and End results Medicare database (n = 44,306). Oncologist (including medical, radiation, and surgical) follow-up and primary care visits were defined using Medicare specialty provider codes and linked American Medical Association (AMA) Masterfile. The types of providers involved in follow-up care were summarized. Stepped regression models identified factors associated with receipt of medical oncology follow-up care and factors associated with receipt of medical oncology care alone versus combination oncology follow-up care. RESULTS: Oncology follow-up care was provided for 80 % of the patients: 80 % with a medical oncologist, 46 % with a surgeon, and 39 % with a radiation oncologist after radiation treatment. The patients with larger tumor size, positive axillary nodes, estrogen receptor (ER)-positive status, and chemotherapy treatment were more likely to have medical oncology follow-up care than older patients with higher Charlson comorbidity scores who were not receiving axillary care. The only factor associated with increased likelihood of follow-up care with a combination of oncology providers was regular primary care visits (>2 visits/year). CONCLUSIONS: Substantial variation exists in the types of providers that participate in breast cancer follow-up care. Improved guidance for the types of providers involved and delineation of providers' responsibilities during follow-up care could lead to improved efficiency and quality of care.

CaPTHUS scoring model in primary hyperparathyroidism: can it eliminate the need for ioPTH testing?

BACKGROUND: The CaPTHUS model was reported to have a positive predictive value of 100 % to correctly predict single-gland disease in patients with primary hyperparathyroidism, thus obviating the need for intraoperative parathyroid hormone (ioPTH) testing. We sought to apply the CaPTHUS scoring model in our patient population and assess its utility in predicting long-term biochemical cure. METHODS: We retrospective reviewed all parathyroidectomies for primary hyperparathyroidism performed at our university hospital from 2003 to 2012. We routinely perform ioPTH testing. Biochemical cure was defined as a normal calcium level at 6 months. RESULTS: A total of 1,421 patients met the inclusion criteria: 78 % of patients had a single adenoma at the time of surgery, 98 % had a normal serum calcium at 1 week postoperatively, and 96 % had a normal serum calcium level 6 months postoperatively. Using the CaPTHUS scoring model, 307 patients (22.5 %) had a score of ≥ 3, with a positive predictive value of 91 % for single adenoma. A CaPTHUS score of ≥ 3 had a positive predictive value of 98 % for biochemical cure at 1 week as well as at 6 months. CONCLUSIONS: In our population, where ioPTH testing is used routinely to guide use of bilateral exploration, patients with a preoperative CaPTHUS score of ≥ 3 had good long-term biochemical cure rates. However, the model only predicted adenoma in 91 % of cases. If minimally invasive parathyroidectomy without ioPTH testing had been done for these patients, the cure rate would have dropped from 98 % to an unacceptable 89 %. Even in these patients with high CaPTHUS scores, multigland disease is present in almost 10 %, and ioPTH testing is necessary.

A survey of preferences regarding surgical approach to thyroid surgery.

BACKGROUND: Transaxillary thyroidectomy (TAT) has gained popularity in East Asian countries; however, to date there have been no attempts to evaluate the preferences regarding TAT in the US population. The aim of this study is to assess the preferences and considerations associated with TAT in an American cohort. METHODS: Self-administered surveys were distributed to 966 adults at various locations in a single state. Questions assessed preferences for the surgical approach, acceptable risks and extra costs, and willingness to pursue TAT despite reduced cancer treatment efficacy. RESULTS: The response rate was 84 %, with a mean age of 40 ± 17 years. The majority of respondents were female. Of the respondents, 82 % preferred TAT to a cervical thyroidectomy (CerT), all risks being equal; 51 % of the respondents were willing to accept a 4 % complication rate with TAT, and 16 % stated they would agree to pay up to an additional $US5,000 for the TAT approach. When presented with thyroid cancer, 20 % of all respondents still preferred TAT, even if it would not cure their disease. Patients preferring TAT over CerT were younger, female, more willing to accept complications and spend additional money, and, most significantly, preferred the TAT approach, even if it was less likely to cure their cancer. CONCLUSIONS: Although this survey presents a hypothetical question for people who do not have thyroid disease, the majority of respondents preferred TAT over CerT. Furthermore, a substantial number were willing to accept higher complication rates and increased costs for TAT.

Increased efficiency of endocrine procedures performed in an ambulatory operating room.

BACKGROUND: Thyroid and parathyroid procedures historically have been viewed as inpatient procedures. Because of the advancements in surgical techniques, these procedures were transferred from the inpatient operating room (OR) to the outpatient OR at a single academic institution approximately 7 y ago. The goal of this study was to determine whether this change has decreased turnover times and maximized OR utilization. METHODS: We performed a retrospective review of 707 patients undergoing thyroid (34%) and parathyroid (66%) procedures by a single surgeon at our academic institution between 2005 and 2008. Inpatient and outpatient groups were compared using Student t-test, chi-square test, or the Kruskal-Wallis test where appropriate. Multiple regression analysis was used to determine how patient and hospital factors influenced turnover times. RESULTS: Turnover times were significantly lower in the outpatient OR (mean 18 ± 0.7 min) when compared with the inpatient OR (mean 36 ± 1.4 min) (P < 0.001). When compared by type of procedure, all turnover times remained significantly lower in the outpatient OR. Patients in both ORs were similar in age, gender, and comorbidities. However, inpatients had a higher mean American Society of Anesthesiologists score (2.30 versus 2.13, P < 0.001) and were more likely to have an operative indication of cancer (23.1% versus 9.2%, P < 0.001). Using multiple regression, the inpatient OR remained highly significantly associated with higher turnover times when controlling for these small differences (P < 0.001). CONCLUSIONS: Endocrine procedures performed in the outpatient OR have significantly faster turnover times leading to cost savings and greater OR utilization for hospitals.