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Objective The primary objective of this study was to determine the prevalence of oral lesions of autoimmune etiology ( OLAIE) in a cohort of patients with primary Sjögren's syndrome ( pSS). Materials and methods A multi-center retrospective cohort study was conducted at the oral medicine practices of Carolinas Medical Center ( CMC), Baylor College of Dentistry ( BCD), and the University of Florida ( UF). Each site performed a chart review of patients with well-characterized pSS. Clinical variables such as OLAIE, traumatic lesions, and medical conditions were compiled at each site. The association between clinical variables and the presence of OLAIE was then assessed for significance. Results We evaluated 155 patients diagnosed with pSS. Nineteen patients with pSS (12.3%) had an OLAIE. CMC reported 11 (21.2%) patients with OLAIE, while BCD and UF reported 4 (7.3%) and 4 (8.3%), respectively. Eleven of the 19 (58%) patients with OLAIE had lichen planus, 6 (32%) had aphthous stomatitis, 1 (5%) had chronic ulcerative stomatitis, and 1 (5%) had lesions of systemic connective tissue disease by immunofluorescence. Conclusion The results of our analysis suggest that patients with pSS have a 12% prevalence of OLAIE with a wide range (7.3-21.2%) found between practices. This difference is likely related to the different screening protocols for oral dryness between sites. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to evaluate the clinical validity of early Sjögren's syndrome (SS) autoantibodies (eSjA), which were originally marketed for early diagnosis of SS, for juvenile SS (JSS) in a recently identified pediatric cohort., Methods: A total of 105 symptomatic subjects with eSjA results available were evaluated at the Center for Orphaned Autoimmune Disorders at the University of Florida and enrolled for this study. JSS diagnosis was based on the 2016 ACR/EULAR SS criteria. Demographic/clinical/laboratory parameters were compared between JSS (n = 27) and non-JSS (n = 78) for % positivity, sensitivity, and specificity of eSjA (SP1, anti-salivary protein; CA6, anti-carbonic anhydrase VI; PSP, anti-parotid secretory protein) and classic SS-autoantibodies (cSjA; ANA, SSA/SSB, RF, and others) either alone or in combination. Associations between eSjA and diagnostic/glandular parameters were also determined by Fisher's exact test., Results: Compared to non-JSS, JSS patients exhibited sicca symptoms demonstrating reduced unstimulated salivary flow rate (USFR) and abnormal glandular features revealed by salivary gland ultrasound (SGUS). Among cSjA, ANA demonstrated the highest sensitivity of 69.2%, while SSA, SSB, and RF showed around 95% specificities for JSS diagnosis. The % positive-SSA was notably higher in JSS than non-JSS (56% vs. 5%). Of eSjA, anti-CA6 IgG was the most prevalent without differentiating JSS (37%) from non-JSS (32%). Sensitivity and specificity of eSjA were 55.6 and 26.9%, respectively. Autoantibodies with potentially applicable specificity/sensitivity for JSS were seen only in cSjA without a single eSjA included. There were no associations detected between eSjA and focus score (FS), USFR, SSA, SGUS, and parotitis/glandular swelling analyzed in the entire cohort, JSS, and non-JSS. However, a negative association between anti-PSP and parotitis/glandular swelling was found in a small group of positive-SSA (n = 19, p = 0.02) whereas no such association was found between anti-PSP-positive compared to anti-PSP-negative. JSS and non-JSS groups differed in FS, USFR, and EULAR SS Patient Reported Index Dryness/Mean in CA6/PSP/ANA, SP1, and SSA-positive groups, respectively. Additionally, a higher FS was found in RF-positive than RF-negative individuals., Conclusions: eSjA underperformed cSjS in differentiating JSS from non-JSS. The discovery of clinical impact of eSjA on early diagnosis of JSS necessitates a longitudinal study., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Thatayatikom, Jun, Bhattacharyya, Berg, Lee, Kim, Adewumi, Zhang, Thatayatikom, Shah, Beal, Modica, Elder and Cha.)

Background: The purpose of this study was to validate a patient-centered anesthesia triage system (PCATS) by examining its association with, and predictive value of, ASA physical status (PS) classification. ASA PS classification is a widely used indicator of health status and the predictor of risk of perioperative complications. Thus, ASA PS is a good triage point such that healthy surgical patients (ASA PS I and II) undergoing low-complexity surgery are assessed by telephone, whereas less-healthy patients (ASA PS III and IV) or those patients undergoing highly complex surgery are seen in person at a presurgical clinic. However, ASA PS is not commonly available in electronic health records or easily determined by nonanesthesiologists. PCATS criteria, including the number of prescription medications used daily, body mass index (BMI), age, and surgical complexity, are readily available in electronic health records. Nonclinical scheduling personnel can use PCATS to make appropriate preassessment appointments for elective surgical patients before surgery., Methods: After getting approval from the University of Florida IRB for an exempt study, 300 consecutive patients scheduled in the presurgical clinic over a 1-week span were retrospectively enrolled. Each of the records was reviewed and collated for study identification number, number of prescription medications, BMI, and ASA PS classification assigned on the day of surgery. In addition, a surgical complexity score was assigned to each procedure (high, moderate, minimal).The association between PCATS and individual PCATS criteria and ASA PS was assessed by χ test. The utility of PCATS to discriminate between ASA PS classifications was assessed using receiver operating characteristic (ROC) curves as well as other indicators of clinical validity: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive clinical utility index ([CIU+] = sensitivity × PPV) and negative CIU ([CIU-] = specificity × PPV)., Results: BMI (P = .002), age (P = .01), surgical complexity (P < .0001), and number of prescriptions (P < .001) were significantly associated with ASA PS. Definitions included as PCATS criteria were BMI > 35, age > 80 years, 5 or more prescriptions, and high surgical complexity. Eighty-seven percent of patients with any PCATS criterion were ASA PS classification III or IV. From ROC curve analysis, PCATS emerged as a significant, and moderately good, predictor of ASA PS class (area under the curve = 0.75, 95% confidence interval [CI], 0.69-0.83). PCATS was highly sensitive (0.88, 95% CI, 0.84-0.92) and specific (0.74; 95% CI, 0.61-0.86), and had excellent utility in confirmation/case finding (CUI+ = 0.83, 95% CI, 0.82-0.84) and moderate utility in screening out cases (CUI- = 0.43, 95% CI, 0.41-0.44)., Conclusions: PCATS serves as a useful, and valid, predictor of ASA PS classification. Thus, it may also serve as a tool to triage patients to an appropriate venue for preoperative assessment that can be utilized by nonclinical schedulers. Using a simple tool such as PCATS may help streamline the presurgical patient experience and improve clinic staff utilization.