Risk and factors determining diabetes after mild, nonnecrotizing acute pancreatitis.

PURPOSE OF REVIEW: Diabetes mellitus (DM) is relatively common following acute pancreatitis (AP), even after mild acute pancreatitis (MAP), the most frequent AP presentation, in which there is no overt beta cell injury. Post-AP related diabetes is widely misdiagnosed, resulting in potentially inappropriate treatment and worse outcomes than type 2 diabetes (T2D). Thus, it is important to understand risk across the spectrum of AP severity. RECENT FINDINGS: Biological mechanisms are unclear and may include local and systemic inflammation leading to beta cell dysfunction and insulin resistance, altered gut barrier and/or gut peptides and possibly islet autoimmunity, though no studies have specifically focused on MAP. While studies examining clinical risk factors on MAP exclusively are lacking, there are studies which include MAP. These studies vary in scientific rigor, approaches to rule out preexisting diabetes, variable AP severity, diagnostic testing methods, and duration of follow-up. Overall, disease related factors, including AP severity, as well as established T2D risk factors are reported to contribute to the risk for DM following AP. SUMMARY: Though numerous studies have explored risk factors for DM after AP, few studies specifically focused on MAP, highlighting a key knowledge gap that is relevant to the majority of patients with AP.

Association of pancreatitis with risk of diabetes: analysis of real-world data.

Introduction: Diabetes is a major cause of disease burden with considerable public health significance. While the pancreas plays a significant role in glucose homeostasis, the association between pancreatitis and new onset diabetes is not well understood. The purpose of this study was to examine that association using large real-world data. Materials and methods: Utilizing the IBM® MarketScan® commercial claims database from 2016 to 2019, pancreatitis and diabetes regardless of diagnostic category, were identified using International Classification of Diseases, Tenth Revision [ICD-10] codes. We then performed descriptive analyses characterizing non-pancreatitis (NP), acute pancreatitis (AP), and chronic pancreatitis (CP) cohort subjects. Stratified Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) of diabetes across the three clinical categories. Results: In total, 310,962 individuals were included in the analysis. During 503,274 person-years of follow-up, we identified 15,951 incident diabetes cases. While men and women had higher incidence rates of CP and AP-related diabetes, the rates were significantly greater in men and highest among individuals with CP (91.6 per 1000 persons-years (PY)) followed by AP (75.9 per 1000-PY) as compared to those with NP (27.8 per 1000-PY). After adjustment for diabetes risk factors, relative to the NP group, the HR for future diabetes was 2.59 (95% CI: 2.45-2.74) (P<0.001) for the CP group, and 2.39 (95% CI: 2.30-2.48) (P<0.001) for the AP group. Conclusion: Pancreatitis was associated with a high risk of diabetes independent of demographic, lifestyle, and comorbid conditions.

Assessing the Pathophysiology of Hyperglycemia in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium.

OBJECTIVES: The metabolic abnormalities that lead to diabetes mellitus (DM) after an episode of acute pancreatitis (AP) have not been extensively studied. This article describes the objectives, hypotheses, and methods of mechanistic studies of glucose metabolism that comprise secondary outcomes of the DREAM (Diabetes RElated to Acute pancreatitis and its Mechanisms) Study. METHODS: Three months after an index episode of AP, participants without preexisting DM will undergo baseline testing with an oral glucose tolerance test. Participants will be followed longitudinally in three subcohorts with distinct metabolic tests. In the first and largest subcohort, oral glucose tolerance tests will be repeated 12 months after AP and annually to assess changes in ß-cell function, insulin secretion, and insulin sensitivity. In the second, mixed meal tolerance tests will be performed at 3 and 12 months, then annually, and following incident DM to assess incretin and pancreatic polypeptide responses. In the third, frequently sampled intravenous glucose tolerance tests will be performed at 3 months and 12 months to assess the first-phase insulin response and more precisely measure ß-cell function and insulin sensitivity. CONCLUSIONS: The DREAM study will comprehensively assess the metabolic and endocrine changes that precede and lead to the development of DM after AP.

Rationale and Development of a Data Coordinating Center to Support the Type 1 Diabetes in Acute Pancreatitis Consortium.

ABSTRACT: A data coordinating center (DCC) is a critical member of any multicenter research undertaking, and that is especially true for the Type 1 Diabetes in Acute Pancreatitis Consortium (T1DAPC). We describe how the T1DAPC DCC supports the consortium via its experience and expertise in project management, administration, financial management, regulatory compliance, scientific coordination, data management, research computing, and biostatistics and in facilitating scientific publications. The DCC's matrix management system has been extremely effective in managing all of its responsibilities. The first 16 months in the life of the T1DAPC have been dedicated to the development of its first protocol, titled Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM), addressing the institutional review board and regulatory components, developing the T1DAPC data management system, and providing training and certification of clinical center staff. As a result of its efforts, the DCC was a major contributor to the T1DAPC being able to initiate recruitment for the DREAM study in January 2022.

Clinical Decision Support for Glycemic Management Reduces Hospital Length of Stay.

OBJECTIVE: Dysglycemia influences hospital outcomes and resource utilization. Clinical decision support (CDS) holds promise for optimizing care by overcoming management barriers. This study assessed the impact on hospital length of stay (LOS) of an alert-based CDS tool in the electronic medical record that detected dysglycemia or inappropriate insulin use, coined as gaps in care (GIC). RESEARCH DESIGN AND METHODS: Using a 12-month interrupted time series among hospitalized persons aged ≥18 years, our CDS tool identified GIC and, when active, provided recommendations. We compared LOS during 6-month-long active and inactive periods using linear models for repeated measures, multiple comparison adjustment, and mediation analysis. RESULTS: Among 4,788 admissions with GIC, average LOS was shorter during the tool's active periods. LOS reductions occurred for all admissions with GIC (-5.7 h, P = 0.057), diabetes and hyperglycemia (-6.4 h, P = 0.054), stress hyperglycemia (-31.0 h, P = 0.054), patients admitted to medical services (-8.4 h, P = 0.039), and recurrent hypoglycemia (-29.1 h, P = 0.074). Subgroup analysis showed significantly shorter LOS in recurrent hypoglycemia with three events (-82.3 h, P = 0.006) and nonsignificant in two (-5.2 h, P = 0.655) and four or more (-14.8 h, P = 0.746). Among 22,395 admissions with GIC (4,788, 21%) and without GIC (17,607, 79%), LOS reduction during the active period was 1.8 h (P = 0.053). When recommendations were provided, the active tool indirectly and significantly contributed to shortening LOS through its influence on GIC events during admissions with at least one GIC (P = 0.027), diabetes and hyperglycemia (P = 0.028), and medical services (P = 0.019). CONCLUSIONS: Use of the alert-based CDS tool to address inpatient management of dysglycemia contributed to reducing LOS, which may reduce costs and improve patient well-being.

Clinical Decision Support for Diabetes Care in the Hospital: A Time for Change Toward Improvement of Management and Outcomes.

The increasing prevalence of diabetes permeates hospitals and dysglycemia is associated with poor clinical and economic outcomes. Despite endorsed guidelines, barriers to optimal management and gaps in care prevail. Providers' limitations on knowledge, attitudes, and decision-making about hospital diabetes management are common. This adds to the complexity of dispersed glucose and insulin dosing data within medical records. This creates a dichotomy as safe and effective care are key objectives of healthcare organizations. This perspective highlights evidence of the benefits of clinical decision support (CDS) in hospital glycemic management. It elaborates on barriers CDS can help resolve, and factors driving its success. CDS represents a resource to individualize care and improve outcomes. It can help overcome a multifactorial problem impacting patients' lives on a daily basis.

Lack of recognition and documentation of stress hyperglycemia is a disruptor of optimal continuity of care.

Stress hyperglycemia (SH) is a manifestation of altered glucose metabolism in acutely ill patients which worsens outcomes and may represent a risk factor for diabetes. Continuity of care can assess this risk, which depends on quality of hospital clinical documentation. We aimed to determine the incidence of SH and documentation tendencies in hospital discharge summaries and continuity notes. We retrospectively examined diagnoses during a 12-months period. A 3-months representative sample of discharge summaries and continuity clinic notes underwent manual abstraction. Over 12-months, 495 admissions had ≥ 2 blood glucose measurements ≥ 10 mmol/L (180 mg/dL), which provided a SH incidence of 3.3%. Considering other glucose states suggestive of SH, records showing ≥ 4 blood glucose measurements ≥ 7.8 mmol/L (140 mg/dL) totaled 521 admissions. The entire 3-months subset of 124 records lacked the diagnosis SH documentation in discharge summaries. Only two (1.6%) records documented SH in the narrative of hospital summaries. Documentation or assessment of SH was absent in all ambulatory continuity notes. Lack of documentation of SH contributes to lack of follow-up after discharge, representing a disruptor of optimal care. Activities focused on improving quality of hospital documentation need to be integral to the education and competency of providers within accountable health systems.

Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes.

INTRODUCTION: Innovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations. RESEARCH DESIGN AND METHODS: The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9-4.4 mmol/L (70-80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. The EMR CDS was active (ON) for 6 months for all adult hospital patients and inactive (OFF) for 6 months. We prospectively identified and compared gaps in care between ON and OFF periods. RESULTS: When active, the hospital CDS tool significantly reduced events of recurrent hyperglycemia in patients with type 1 and type 2 diabetes (3342 vs 3701, OR=0.88, p=0.050) and in patients with stress hyperglycemia (288 vs 506, OR=0.60, p<0.001). Hypoglycemia or impending hypoglycemia (1548 vs 1349, OR=1.15, p=0.050) were unrelated to the CDS tool on subsequent analysis. Inappropriate use of SSI monotherapy in type 1 diabetes (10 vs 22, OR=0.36, p=0.073), inappropriate use of SSI monotherapy in type 2 diabetes (2519 vs 2748, OR=0.97, p=0.632), and in stress hyperglycemia subjects (1617 vs 1488, OR=1.30, p<0.001) were recognized. CONCLUSION: EMR CDS was successful in reducing hyperglycemic events among hospitalized patients with dysglycemia and diabetes, and inappropriate insulin use in patients with type 1 diabetes.

Overcoming barriers to diabetes care in the hospital: The power of qualitative observations to promote positive change.

AIMS: Despite advocacy by diabetes societies and evidence about how to prevent the deleterious consequences of dysglycemia among hospitalized patients, deficits in clinical practice continue to present barriers to care. The purpose of this study was to examine inpatient rounding practices using a qualitative research lens to assess challenges on the care of hospitalized patients with diabetes and to develop ideas for positive changes in hospital management of diabetes and hyperglycemia. METHODS: We conducted an interpretive analysis of qualitative observations during medical and surgical inpatient rounds at an academic institution. We coded, analysed, and reported data as thematic findings. RESULTS: Emerging themes include omissions in discussions during rounds; unpreparedness to address diabetes or dysglycemia during rounds; identifying practice improvement opportunities to address diabetes issues: and recognizing accountability within the routine of practice. CONCLUSIONS: This work guides clinicians and informs systems of practice about improvement strategies that can emerge from within hospital teams. These recommendations emphasize the interconnectedness of practice elements including thoughtful review of glucose status during rounds among patients with and without diabetes; fostering doctors and nurses to work in unison; promoting awareness and integration within and across disciplines; and advocating for better use of existing resources.

Closing the Loop: Optimizing Diabetes Care in the Hospital by Addressing Dispersed Information in Electronic Health Records and Using Clinical Decision Support.

Multiple factors hinder the management of diabetes in hospitals. Amid the demands of practice, health care providers must collect, collate, and analyze multiple data points to optimally interpret glucose control and manage insulin dosing. Such data points are commonly dispersed in different sections of electronic health records (EHR), and the system for data display and physician interaction with the EHR are often poorly conducive to seamless clinical decision making. In this perspective article, we examine challenges in the process of EHR data retrieval, interpretation and decision making, using glucose management as an exemplar. We propose a conceptual, systems-based design for closing the loop between data gathering, analysis and decision making in the management of inpatient diabetes. This concept capitalizes on attributes of the EHR that can enable automated recognition of cases and provision of clinical recommendations.

Implementing a medical student interpreter training program as a strategy to developing humanism.

BACKGROUND: Humanistic care in medicine has shown to improve healthcare outcomes. Language barriers are a significant obstacle to humanistic care, and trained medical interpreters have demonstrated to effectively bridge the gap for the vulnerable limited English proficiency (LEP) patient population. One way in which medical schools can train more humanistic physicians and provide language access is through the implementation of programs to train bilingual medical students as medical interpreters. The purpose of this prospective study was to evaluate whether such training had an impact on bilingual medical student's interpretation skills and humanistic traits. METHODS: Between 2015 and 2017, whole-day (~ 8 h) workshops on medical interpretation were offered periodically to 80 bilingual medical students at the Penn State College of Medicine. Students completed a series of questionnaires before and after the training that assessed the program's effectiveness and its overall impact on interpretation skills and humanistic traits. Students also had the opportunity to become certified medical interpreters. RESULTS: The 80 student participants were first- to third- year medical students representing 21 languages. Following training, most students felt more confident interpreting (98%) and more empathetic towards LEP patients (87.5%). Students' scores in the multiple-choice questions about medical interpretation/role of the interpreter were also significantly improved (Chi-Square test, p < 0.05). All students who decided to take the exam were able to successfully become certified interpreters. Ninety-two percent of participants reported they would recommend the program and would be willing to serve as a future "coaches" for interpreter training workshops delivered to peer students. CONCLUSIONS: Our program was successful in increasing self-reported measures of empathy and humanism in medical students. Our data suggests that implementation of medical interpreter training programs can be a successful strategy to develop of humanism in medical students, and aid in the development of sustainable language access for LEP patients.

PERSPECTIVES ON LEARNING AND CLINICAL PRACTICE IMPROVEMENT FOR DIABETES IN THE HOSPITAL: A REVIEW OF EDUCATIONAL INTERVENTIONS FOR PROVIDERS.

OBJECTIVE: The management of inpatient hyperglycemia and diabetes requires expertise among many health-care providers. There is limited evidence about how education for healthcare providers can result in optimization of clinical outcomes. The purpose of this critical review of the literature is to examine methods and outcomes related to educational interventions regarding the management of diabetes and dysglycemia in the hospital setting. This report provides recommendations to advance learning, curricular planning, and clinical practice. METHODS: We conducted a literature search through PubMed Medical for terms related to concepts of glycemic management in the hospital and medical education and training. This search yielded 1,493 articles published between 2003 and 2016. RESULTS: The selection process resulted in 16 original articles encompassing 1,123 learners from various disciplines. We categorized findings corresponding to learning outcomes and patient care outcomes. CONCLUSION: Based on the analysis, we propose the following perspectives, leveraging learning and clinical practice that can advance the care of patients with diabetes and/or dysglycemia in the hospital. These include: (1) application of knowledge related to inpatient glycemic management can be improved with active, situated, and participatory interactions of learners in the workplace; (2) instruction about inpatient glycemic management needs to reach a larger population of learners; (3) management of dysglycemia in the hospital may benefit from the integration of clinical decision support strategies; and (4) education should be adopted as a formal component of hospitals' quality planning, aiming to integrate clinical practice guidelines and to optimize diabetes care in hospitals.

Knowledge, attitudes, and decision making in hospital glycemic management: are faculty up to speed?

OBJECTIVE: Knowledge and confidence deficits in the management of hospital glucose abnormalities are prevalent among resident physicians. However, it is unclear whether such gaps prevail among faculty within different professional fields. In this study, we examined faculty knowledge and explored perceptions of challenges related to the management of inpatient hyperglycemia and diabetes. METHODS: We conducted a survey that examined management decisions about inpatient hyperglycemia and diabetes among Medicine, Medicine/Pediatrics, Family and Community Medicine, Surgery, and Neurology faculty clinicians. All participating faculty had teaching and patient care responsibilities. RESULTS: Responses from 69 faculty participants revealed gaps in several areas, including biomedical and contextual knowledge, familiarity with resources, clinical decision making, and self-efficacy. We identified important factors perceived as barriers to optimal glycemic management in the inpatient settings. CONCLUSION: The results of this study enhance our insight about the limitations existing among faculty related to the management of hyperglycemia and diabetes in hospitalized patients. We suggest that these barriers may impede optimization of patient care. Faculty play a crucial role in the clinical decision-making process and quality of care delivered by trainees. Therefore, attending physicians are likely to impact trainees' clinical performance and competency in the management of inpatient diabetes during training and beyond. Education in this subject should be a priority among trainees and faculty alike.

Association of postoperative hyperglycemia with outcomes among patients with complex ventral hernia repair.

IMPORTANCE: Patients with medically complex conditions undergoing repair of large or recurrent hernia of the abdominal wall are at risk for early postoperative hyperglycemia, which may serve as an early warning for delays in recovery and for adverse outcomes. OBJECTIVE: To evaluate postoperative serum glucose level as a predictor of outcome after open ventral hernia repair in patients with major medical comorbidities. DESIGN, SETTING, AND PARTICIPANTS: We performed a retrospective medical record review of 172 consecutive patients who underwent open ventral hernia repair at Penn State Milton S. Hershey Medical Center, an academic tertiary referral center, from May 1, 2011, through November 30, 2013. We initially identified patients by medical complexity and repair requiring a length of stay of longer than 1 day. MAIN OUTCOMES AND MEASURES: Postoperative recovery variables, including time to the first solid meal, length of stay, total costs of hospitalization, and surgical site occurrence. RESULTS: Postoperative serum glucose values were available for 136 patients (79.1%), with 130 (95.6%) obtained within 48 hours of surgery. Among these patients, Ventral Hernia Working Group grade distributions included 8 patients with grade 1, 79 with grade 2, 41 with grade 3, and 8 with grade 4. Fifty-four patients (39.7%) had a postoperative glucose level of at least 140 mg/dL, and 69 patients (50.7%) required insulin administration. Both outcomes were associated with delays in the interval to the first solid meal (glucose level, ≥140 vs <140 mg/dL: mean [SD] delay, 6.4 [5.3] vs 5.6 [8.2] days; P = .01; ≥2 insulin events vs <2: 6.5 [5.5] vs 5.4 [8.4] days; P = .02); increased length of stay (glucose level, ≥140 vs <140 mg/dL: mean [SD], 8.0 [6.0] vs 6.9 [8.2] days; P = .008; ≥2 insulin events vs <2: 8.3 [6.1] vs 6.5 [8.4] days; P < .001); increased costs of hospitalization (glucose level, ≥140 vs <140 mg/dL: mean [SD], $31 307 [$20 875] vs $22 508 [$22 531]; P < .001; ≥2 insulin events vs <2: $31 943 [$22 224] vs $20 651 [$20 917]; P < .001); and possibly increased likelihood of surgical site occurrence (glucose level, ≥140 vs <140 mg/dL: 37.5% [21 of 56 patients] vs 22.5% [18 of 80 patients]; P = .06; ≥2 insulin events vs <2: 36.4% [24 of 66 patients] vs 21.4% [15 of 70 patients]; P = .06). Not all patients with diabetes mellitus developed postoperative hyperglycemia or needed more intense insulin therapy; however, 46.4% of the patients who developed postoperative hyperglycemia were not previously known to have diabetes mellitus, although most had at least 1 clinical risk factor for a prediabetic condition. CONCLUSIONS AND RELEVANCE: Postoperative hyperglycemia was associated with outcomes in patients in this study who underwent complex ventral hernia repair and may serve as a suitable target for screening, benchmarking, and intervention in patient groups with major comorbidities.

Management of hyperglycemia during the perioperative period.

Hyperglycemia is frequently encountered in the inpatient setting and is distinctly associated with poor clinical outcomes. Recent literature suggests an association between stringent glycemic control and increased mortality, thus keeping optimal glycemic targets a relevant subject of debate. In the surgical population, hyperglycemia with or without diabetes mellitus may be unrecognized. Factors contributing to hyperglycemia in the hospital include critical illness, use of certain drugs, use of enteral or parenteral nutrition, and variability in oral or nutritional intake as can occur when patients are prepared for procedures or surgery. A sensible approach to managing hyperglycemia in this population includes preoperative recognition of diabetes mellitus and risks for inpatient hyperglycemia. Judicious control of glycemia during the pre-, intra-, and postoperative time periods with avoidance of hypoglycemia mandates the need for a strategy for patient management that extend to time of discharge. We review the consequences of uncontrolled perioperative hyperglycemia, discuss current clinical guidelines and recent controversies, and provide practical tools for glycemic control in the surgical population.

Familial hyperparathyroidism due to a germline mutation of the CDC73 gene: implications for management and age-appropriate testing of relatives at risk.

OBJECTIVE: To discuss the implications of a young age at diagnosis in a family member with hyperparathyroidism-jaw tumor syndrome, the youngest published case to date, due to a mutation of the CDC73 gene (formerly known as HRPT2); to review this family with regard to modifications of guidelines for surveillance of hyperparathyroidism and other associated features in affected and at-risk relatives; and to discuss surgical recommendations in this syndrome. METHODS: A review of English-language publications in PubMed and a review of GeneReviews were conducted pertaining to the subject of familial hyperparathyroidism. A case is described, and the family pedigree is discussed. RESULTS: Review of the literature revealed that CDC73-related disorder has not previously been reported in patients younger than 10 years. This finding has been the basis for the recommendation for initiation of surveillance for disease manifestations at that age. Review of the family history of our current patient revealed a 7-year-old nephew with hypercalcemia attributable to primary hyperparathyroidism. CONCLUSION: Surveillance of hyperparathyroidism in affected persons and genetic testing of relatives at risk are currently recommended to start at 10 years of age. We recommend that these be conducted at a younger age, preferably 5 to 10 years before the earliest diagnosis of hyperparathyroidism within the family, and potentially at birth in families with a known mutation of the CDC73 gene, in light of the malignant potential of the disease.

Management of hyperglycemia in the non-intensive care patient: featuring subcutaneous insulin protocols.

OBJECTIVE: To provide insulin protocols and adjustment guidance for management of hyperglycemia in common inpatient clinical scenarios. METHODS: We performed a PubMed search of pertinent existing literature from 1980 to 2010. RESULTS: Hyperglycemia is frequently encountered in general medical and surgical wards and has been linked to adverse clinical outcomes, prolonged hospital length of stay, and increased institutional care needs after discharge. No randomized controlled trial has been conducted to define optimal glycemic goals or to investigate the effects of intensive glycemic control in the non-intensive care unit (ICU) setting. Nonetheless, it is advocated by the American Association of Clinical Endocrinologists and the American Diabetes Association, in their 2009 Consensus Statement on Inpatient Glycemic Control, that optimization of glycemia in hospitalized patients with diabetes and hyperglycemia be judiciously offered. This approach is clinically sound, in light of the known deleterious consequences of hyperglycemia in critically and noncritically ill patients and the benefits observed with improved glycemic control in intensive care settings. The approach to hyperglycemia in non-ICU inpatients should follow the principles of provision of basal-nutritional-supplemental insulin. Herein we provide insulin protocols and adjustment guidance for management of hyperglycemia in common clinical scenarios. Recommendations reflect the opinion of national experts in the field and our departmental consensus at Penn State Institute for Diabetes and Obesity. CONCLUSION: Glycemic control in the non-ICU setting is a relevant clinical situation that should be addressed and managed effectively and prudently. We present a practical guide for management of hyperglycemia individualized to various clinical scenarios encountered in the general hospital wards.

Anaplastic thyroid carcinoma in a young woman: a rare case of survival.

BACKGROUND: Anaplastic thyroid carcinoma (ATC) is rare but one of the most aggressive human cancers. It carries a dismal prognosis with average survival of 6 months. It is characteristically diagnosed in patients older than 60 years. We report the case of a young patient with ATC, in whom disease-free survival exceeds 2 years, and review the related literature. SUMMARY: A 26-year-old woman presented with a rapidly growing anterior neck mass. A neck computed tomography scan showed a 3.5-cm left thyroid mass extending into the lateral neck. Fine-needle aspiration biopsy showed a malignant tumor. A subsequent core biopsy showed an undifferentiated epithelial carcinoma. A total thyroidectomy and left modified radical neck dissection were performed. Histopathology and immunohistochemical analysis confirmed an ATC. Postoperatively, the patient received radiation with concurrent chemotherapy. Serial follow-up imaging studies showed no evidence of residual or recurrent disease or metastases, and patient remains alive, free of disease, over 2 years. CONCLUSION: ATC is usually a disease of the elderly but should be considered in the differential diagnosis of any patient who presents with a rapidly enlarging anterior neck mass. A rapid and thorough investigation should be initiated. This unusual case highlights that this aggressive thyroid cancer may occur in the young. It also emphasizes the role of aggressive surgery, if resectable.