<h3>Purpose/Objective(s)</h3> Patients with well-differentiated thyroid cancer generally have an excellent outcome. Nonetheless, a subset of patients will do poorly. Traditionally, the TNM system is used to counsel patients on probability of survival. However, this system applies to a population rather than individual patients. In contrast, nomograms utilize several variables to determine outcome in individual patients. The objective of our study was to use tumor and host factors in patients with well differentiated thyroid cancer to develop a nomogram predictive of disease-specific survival (DSS). This would lead to a better guided and personalized assessment of patient's treatment and follow up and would allow us to better counsel patients moving forward. <h3>Materials/Methods</h3> From our departmental thyroid database of 6,259 patients treated with surgery from 1986 to 2015, we excluded patients with incomplete staging data (n=15). Our final cohort consisted in 6,244 patients. Tumor and host variables predictive of survival were identified and used to design a nomogram for DSS. The previously published pretreatment peripheral blood H-index (([Neutrophils x Monocytes]/[Lymphocytes x Hemoglobin X Albumin]) x 100) was used as the surrogate marker for the host status. Multiple imputation was implemented on missing data of the peripheral blood variables. Unadjusted and adjusted HRs were calculated using the Cox proportional hazard model for DSS. A p-value <0.05 was considered significant. Nomograms predictive of 5, 10, 15 and 20-year DSS were created from the model. Statistical analysis was performed using the R software package (http://www.r-project.org). <h3>Results</h3> Median age was 47.4 years (IQR 37.1-58.0), 72% were female. Most cases were Papillary Carcinomas (95.4%), and 2.4% Follicular Carcinomas and 2.2% Hurthle Cell Carcinomas. Following AJCC 8<sup>th</sup> Edition, 88.0% were Tx/T1/T2, 68.9% were Nx/N0, and 98.7% M0. H-index values ranged from 0.04 to 18.38 (median 1.17, IQR 0.79-1.75). Increased age, non-papillary carcinoma pathologies, higher TNM, and higher H-index were significantly associated with worse DSS in the multivariable analysis. Based on this model, predictive nomograms were created. Age and distant metastasis were the variables that conferred a higher score in the nomogram and therefore the ones associated with poorer outcomes. H-index incorporated additional stratification of patient's risk by adding information about the host to the generally used tumor factors. <h3>Conclusion</h3> Using tumor and host factors, we have created a nomogram which predicts survival in individual patients with well differentiated thyroid cancer. By having a more precise prediction of each patient's outcomes we can better guide treatment, follow up and counseling.