Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 1 de 1
Add filters

Document Type
Year range
J Surg Res ; 268: 459-464, 2021 12.
Article in English | MEDLINE | ID: covidwho-1366623


BACKGROUND: We tracked endocrine surgery patients with treatment delays due to COVID-19 to investigate the relationship between physician assigned priority scoring (PAPS), the Medically Necessary, Time Sensitive (MeNTS) scoring system and delay to surgery. MATERIAL & METHODS: Patients scheduled for endocrine surgery or clinically evaluated during COVID-19-related elective surgery hold at our institution (2/26/20-5/1/20) were prospectively enrolled. PAPS was assigned based on categories of high, moderate, or low risk, consistent with the American College of Surgeons' priority system. MeNTS scores were calculated. The primary outcome was delay to surgery. Descriptive statistics were performed, and receiver operator characteristic (ROC) curves and area under the curve (AUC) values were calculated for PAPS and MeNTS. RESULTS: Of 146 patients included, 68% (n = 100) were female; the median age was 60 years (IQR:43,67). Mean delay to surgery was significantly shorter (P = 0.01) in patients with high PAPS (35 d), compared with moderate (61 d) and low (79 d) PAPS groups. MeNTS scores were provided for 105 patients and were analyzed by diagnosis. Patients with benign thyroid disease (n = 17) had a significantly higher MeNTS score than patients with thyroid disease which was malignant/suspicious for malignancy (n = 44) patients (51.5 versus 47.6, P = 0.034). Higher PAPS correlated well with a delay to surgery of <30 d (AUC: 0.72). MeNTS score did not correlate well with delay to surgery <30 d (AUC: 0.52). CONCLUSION: PAPS better predicted delay to surgery than MeNTS scores. PAPS may incorporate more complex components of clinical decision-making which are not captured in the MeNTS score.

COVID-19 , Endocrine Surgical Procedures , Adult , Aged , Clinical Decision-Making , Elective Surgical Procedures , Endocrine Surgical Procedures/statistics & numerical data , Female , Humans , Male , Middle Aged