Dylan A Levy1, Hong Li2,3, Katherine R Sterba2,3, Chanita Hughes-Halbert3,4, Graham W Warren3,5,6, Brian Nussenbaum7, Anthony J Alberg8, Terry A Day1, Evan M Graboyes1,3. 1. Department of Otolaryngology-Head & Neck Surgery, Medical University of South Carolina, Charleston. 2. Department of Public Health Sciences, Medical University of South Carolina, Charleston. 3. Hollings Cancer Center, Medical University of South Carolina, Charleston. 4. Department of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston. 5. Department of Radiation Oncology, Medical University of South Carolina, Charleston. 6. Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston. 7. American Board of Otolaryngology-Head & Neck Surgery, Houston, Texas. 8. Arnold School of Public Health, Department of Epidemiology and Biostatistics, University of South Carolina, Columbia.
Abstract
Importance: The standard of care for initiation of postoperative radiotherapy (PORT) in head and neck squamous cell carcinoma (HNSCC) is within 6 weeks of surgical treatment. Delays in guideline-adherent PORT initiation are common, associated with mortality, and a measure of quality care, but patient-specific tools to estimate the risk of these delays are lacking. Objective: To develop and validate 2 nomograms (that use presurgical and postsurgical data) for predicting delayed PORT initiation. Design, Setting, and Participants: This cohort study obtained patient data from January 1, 2004, to December 31, 2015, from the National Cancer Database. Adults aged 18 years or older with a newly diagnosed HNSCC who underwent surgical treatment and PORT at a Commission on Cancer-accredited facility were included. Data analysis was conducted from June 2, 2019, to January 29, 2020. Exposures: Surgical treatment and PORT. Main Outcomes and Measures: The primary outcome measure was PORT initiation more than 6 weeks after the surgical intervention. Multivariable logistic regression models were created in a random selection of 80% of the sample (derivation cohort) and were internally validated with bootstrapping, assessed for discrimination by calibration plots and the concordance (C) index, and externally validated in the remaining 20% of the sample (validation cohort). Results: The study included 60 766 adults with HNSCC who were grouped into derivation and validation cohorts. The derivation cohort comprised 48 625 patients (mean [SD] age, 59.59 [11.3] years; 36 825 men [75.7%]) selected randomly from the full sample, whereas 12 151 patients (mean [SD] age, 59.63 [11.2] years; 9266 men [76.3%]) composed the validation cohort. The rate of PORT delay was 55.8% (n=27140) in the derivation cohort and 56.7% (n=6900) in the validation cohort. Both nomograms created to predict the risk of PORT initiation delay used variables, including race/ethnicity, insurance type, tumor site, and facility type. The nomogram based on presurgical variables included clinical stage and severity of comorbidity, whereas the nomogram with postsurgical variables included US region, length of stay, and care fragmentation between surgical and radiotherapy facilities. For the presurgical nomogram, the concordance indices were 0.670 (95% CI, 0.664-0.676) in the derivation cohort and 0.674 (95% CI, 0.662-0.685) in the validation cohort. For the nomogram with postsurgical variables, the concordance indices were 0.691 (95% CI, 0.686-0.696) in the derivation cohort and 0.694 (95% CI, 0.685-0.704) in the validation cohort. Conclusions and Relevance: This study found that a nomogram developed with presurgical data to generate personalized estimates of PORT initiation delay may improve pretreatment counseling and the delivery of interventions to patients at high risk for such a delay. A nomogram including postsurgical data can drive institutional quality improvement initiatives and enhance risk-adjusted comparisons of delay rates across facilities.
Importance: The standard of care for initiation of postoperative radiotherapy (PORT) in head and neck squamous cell carcinoma (HNSCC) is within 6 weeks of surgical treatment. Delays in guideline-adherent PORT initiation are common, associated with mortality, and a measure of quality care, but patient-specific tools to estimate the risk of these delays are lacking. Objective: To develop and validate 2 nomograms (that use presurgical and postsurgical data) for predicting delayed PORT initiation. Design, Setting, and Participants: This cohort study obtained patient data from January 1, 2004, to December 31, 2015, from the National Cancer Database. Adults aged 18 years or older with a newly diagnosed HNSCC who underwent surgical treatment and PORT at a Commission on Cancer-accredited facility were included. Data analysis was conducted from June 2, 2019, to January 29, 2020. Exposures: Surgical treatment and PORT. Main Outcomes and Measures: The primary outcome measure was PORT initiation more than 6 weeks after the surgical intervention. Multivariable logistic regression models were created in a random selection of 80% of the sample (derivation cohort) and were internally validated with bootstrapping, assessed for discrimination by calibration plots and the concordance (C) index, and externally validated in the remaining 20% of the sample (validation cohort). Results: The study included 60 766 adults with HNSCC who were grouped into derivation and validation cohorts. The derivation cohort comprised 48 625 patients (mean [SD] age, 59.59 [11.3] years; 36 825 men [75.7%]) selected randomly from the full sample, whereas 12 151 patients (mean [SD] age, 59.63 [11.2] years; 9266 men [76.3%]) composed the validation cohort. The rate of PORT delay was 55.8% (n=27140) in the derivation cohort and 56.7% (n=6900) in the validation cohort. Both nomograms created to predict the risk of PORT initiation delay used variables, including race/ethnicity, insurance type, tumor site, and facility type. The nomogram based on presurgical variables included clinical stage and severity of comorbidity, whereas the nomogram with postsurgical variables included US region, length of stay, and care fragmentation between surgical and radiotherapy facilities. For the presurgical nomogram, the concordance indices were 0.670 (95% CI, 0.664-0.676) in the derivation cohort and 0.674 (95% CI, 0.662-0.685) in the validation cohort. For the nomogram with postsurgical variables, the concordance indices were 0.691 (95% CI, 0.686-0.696) in the derivation cohort and 0.694 (95% CI, 0.685-0.704) in the validation cohort. Conclusions and Relevance: This study found that a nomogram developed with presurgical data to generate personalized estimates of PORT initiation delay may improve pretreatment counseling and the delivery of interventions to patients at high risk for such a delay. A nomogram including postsurgical data can drive institutional quality improvement initiatives and enhance risk-adjusted comparisons of delay rates across facilities.
Authors: Carole Fakhry; Qiang Zhang; Phuc Felix Nguyen-Tân; David I Rosenthal; Randal S Weber; Louise Lambert; Andy M Trotti; William L Barrett; Wade L Thorstad; Christopher U Jones; Sue S Yom; Stuart J Wong; John A Ridge; Shyam S D Rao; James A Bonner; Eric Vigneault; David Raben; Mahesh R Kudrimoti; Jonathan Harris; Quynh-Thu Le; Maura L Gillison Journal: J Clin Oncol Date: 2017-08-04 Impact factor: 44.544
Authors: Hann-Hsiang Chao; Caitlin A Schonewolf; Erik X Tan; Samuel Swisher-McClure; Alireza F Ghiam; Gregory S Weinstein; Bert W O'Malley; Ara A Chalian; Christopher H Rassekh; Jason G Newman; Roger B Cohen; Joshua M Bauml; Charu Aggarwal; Alexander Lin; John N Lukens Journal: Head Neck Date: 2019-08-14 Impact factor: 3.147
Authors: Arya Amini; William A Stokes; Bernard L Jones; Sagus Sampath; Robert S Kang; Thomas J Gernon; Ellie G Maghami; Erminia Massarelli; Cathy J Bradley; Sana D Karam Journal: Head Neck Date: 2019-02-09 Impact factor: 3.147
Authors: Randal S Weber; Carol M Lewis; Scott D Eastman; Ehab Y Hanna; Olubumi Akiwumi; Amy C Hessel; Stephen Y Lai; Leslie Kian; Michael E Kupferman; Dianna B Roberts Journal: Arch Otolaryngol Head Neck Surg Date: 2010-12
Authors: Michael W Kattan; Kenneth R Hess; Mahul B Amin; Ying Lu; Karl G M Moons; Jeffrey E Gershenwald; Phyllis A Gimotty; Justin H Guinney; Susan Halabi; Alexander J Lazar; Alyson L Mahar; Tushar Patel; Daniel J Sargent; Martin R Weiser; Carolyn Compton Journal: CA Cancer J Clin Date: 2016-01-19 Impact factor: 508.702
Authors: Warren C Swegal; Robert J Herbert; David W Eisele; Jenny Chang; Robert E Bristow; Christine G Gourin Journal: Laryngoscope Date: 2019-06-06 Impact factor: 3.325
Authors: William W Thomas; Jason Brant; Jinbo Chen; Orly Coblens; John P Fischer; Jason G Newman; Ara A Chalian; Rabie M Shanti; Steven B Cannady Journal: JAMA Facial Plast Surg Date: 2018-03-01 Impact factor: 4.611
Authors: Mussab Kouka; Jens Buentzel; Holger Kaftan; Daniel Boeger; Andreas H Mueller; Andrea Wittig; Stefan Schultze-Mosgau; Thomas Ernst; Orlando Guntinas-Lichius Journal: Cancers (Basel) Date: 2022-06-24 Impact factor: 6.575
Authors: Evan M Graboyes; Katherine R Sterba; Hong Li; Graham W Warren; Anthony J Alberg; Elizabeth A Calhoun; Brian Nussenbaum; Jessica McCay; Courtney H Marsh; Nosayaba Osazuwa-Peters; David M Neskey; John M Kaczmar; Anand K Sharma; Jennifer Harper; Terry A Day; Chanita Hughes-Halbert Journal: JCO Oncol Pract Date: 2021-03-10