Reflex high risk HPV testing in atypical squamous cells, cannot exclude high grade intraepithelial lesion: a large institution's experience with the significance of this often ordered test.

OBJECTIVE: Cervical cytology specimens diagnosed with ASC-H consist of squamous cells with equivocal cytology for high-grade dysplastic lesions. We reviewed our cases of ASC-H with reflex HPV testing to evaluate this patient population. STUDY DESIGN: We retrospectively identified patients with ASC-H in Pap smears over a 3-year period. Reflex high-risk (HR) HPV DNA testing was performed by request. Follow-up results and smear characteristics were evaluated. RESULTS: HR HPV DNA testing was positive in 60 of 82 (73%) cases tested. The risk of high grade cervical intraepithelial neoplasia (CIN) on follow-up after a positive HPV test with ASC-H is 68.3%. The risk of high grade CIN after a negative HPV test with ASC-H is 58.3%. High grade CIN lesions were found in 20% HPV-negative patients. The cellularity of atypical cells in Pap smears was not helpful in analyzing differences in HPV-positive and HPV-negative ASC-H. CONCLUSION: The risk of high grade dysplasia after an ASC-H Pap diagnosis was high irrespective of the reflex HPV test results in our patient population. Therefore, our findings support the continued utilization of the current ASCCP guidelines of colposcopy and caution when utilizing reflex HR HPV testing in the colposcopy triage ASC-H patients.

Ultrasound Stratification of Hepatic Steatosis Using Hepatorenal Index.

Hepatorenal index (HRI) has been shown to be an effective, noninvasive ultrasound tool to screen patients for those with or without >5% hepatic steatosis. OBJECTIVE: The aim of this study was to further refine this HRI tool in order to stratify patients according to their degree of liver steatosis and give direction as to which patients should undergo random liver biopsy. METHODS: We conducted a retrospective review of 267 consecutive patients from 2015 to 2017 who had abdominal ultrasounds and a subsequent random liver biopsy within one month. The HRI was calculated and compared with the percent steatosis as assessed by histology. RESULTS: An HRI of ≤1.17 corresponds with >95% positive predictive value of ≤5% steatosis. Between HRI values 1.18 and 1.39, performance of steatosis prediction is mixed. However, for values <1.37 there is an increased likelihood of steatosis ≤5% and likewise the opposite for values >1.37. An HRI of ≥1.4 corresponds with >95% positive predictive value of ≥10% steatosis. CONCLUSION: HRI is an accurate noninvasive tool to quantify degree of steatosis and guide who should undergo random liver biopsy, potentially significantly reducing the total number of necessary liver biopsies.

Process Variation Detection using Missing Data in a Multihospital Community Practice Anatomic Pathology Laboratory.

OBJECTIVES: Barcode-driven workflows reduce patient identification errors. Missing process timestamp data frequently confound our health system's pending lists and appear as actions left undone. Anecdotally, it was noted that missing data could be found when there is procedure noncompliance. This project was developed to determine if missing timestamp data in the histology barcode drive workflow correlated with other process variations, procedure noncompliance, or is an indicator of workflows needing focus for improvement projects. MATERIALS AND METHODS: Data extracts of timestamp data from January 1, 2018, to December 15, 2018 for the major histology process steps were analyzed for missing data. Case level analysis to determine the presence or absence of expected barcoding events was performed on 1031 surgical pathology cases to determine the cause of the missing data and determine if additional data variations or procedure noncompliance events were present. The data variations were classified according to a scheme defined in the study. RESULTS: Of 70,085, there were 7218 cases (10.3%) with missing process timestamp data. Missing histology process step data was associated with other additional data variations in case-level deep dives (P < 0.0001). Of the cases missing timestamp data in the initial review, 18.4% of the cases had no identifiable cause for the missing data (all expected events took place in the case-level deep dive). CONCLUSIONS: Operationally, valuable information can be obtained by reviewing the types and causes of missing data in the anatomic pathology laboratory information system, but only in conjunction with user input and feedback.