365. Assessing Provider Utilization of COVID-19 Inflammatory Marker Trends in Hospitalized Patients and Implications in Optimizing Value-Based Care During a Pandemic

Abstract Background Numerous inflammatory markers may serve a role in prognostication of patients hospitalized with COVID-19. Early in the pandemic, our health system created an admission order set which included daily d-dimer, c-reactive protein (CRP), lactate dehydrogenase (LDH), and ferritin. Given more available outcomes data, limiting standing order of studies that do not affect daily management could result in significant cost savings to the health system without adverse patient outcomes. The purpose of this study was to determine ordering and utilization patterns of inflammatory markers by physicians caring for patients hospitalized with COVID-19 infections. Methods An anonymous 10-question survey was distributed to 125 physicians (Infectious Diseases, Hospitalist, Pulmonary and Critical Care faculty). Responses were tallied and values greater than 50% were identified as the majority of the surveyed group. Results Of the 125 physicians surveyed, 77 (62%) responded. A total of 57.1% (44/77) of physicians reported ordering daily inflammatory markers for 3-10 days from admission. Another 31.2% (24/77) ordered markers until clinical improvement or hospital discharge. D-dimer was used for care decisions by 83.1% (64/77) of respondents; 93.8% (60/64) of those reported utilizing it in determining anticoagulation dose. CRP was used by 61% (47/77) of physicians to help identify a secondary infection or determine steroid dose or duration. LDH and ferritin were not used for management decisions by the majority of physicians. Inflammatory markers were not used routinely after isolation precautions had been discontinued, even when ongoing care required mechanical ventilation. Conclusion Of the markers studied, both d-dimer and CRP were considered useful by most respondents. LDH and ferritin were used less frequently and were not considered as useful in guiding medical decision making. Discontinuation of standing daily LDH and ferritin orders is believed to have potential to result in cost savings to the health care system with no adverse patient outcomes. Disclosures All Authors: No reported disclosures

Background. Numerous inflammatory markers may serve a role in prognostication of patients hospitalized with COVID-19. Early in the pandemic, our health system created an admission order set which included daily d-dimer, c-reactive protein (CRP), lactate dehydrogenase (LDH), and ferritin. Given more available outcomes data, limiting standing order of studies that do not affect daily management could result in significant cost savings to the health system without adverse patient outcomes. The purpose of this study was to determine ordering and utilization patterns of inflammatory markers by physicians caring for patients hospitalized with COVID-19 infections.
Methods. An anonymous 10-question survey was distributed to 125 physicians (Infectious Diseases, Hospitalist, Pulmonary and Critical Care faculty). Responses were tallied and values greater than 50% were identified as the majority of the surveyed group.

Results.
Of the 125 physicians surveyed, 77 (62%) responded. A total of 57.1% (44/77) of physicians reported ordering daily inflammatory markers for 3-10 days from admission. Another 31.2% (24/77) ordered markers until clinical improvement or hospital discharge. D-dimer was used for care decisions by 83.1% (64/77) of respondents; 93.8% (60/64) of those reported utilizing it in determining anticoagulation dose. CRP was used by 61% (47/77) of physicians to help identify a secondary infection or determine steroid dose or duration. LDH and ferritin were not used for management decisions by the majority of physicians. Inflammatory markers were not used routinely after isolation precautions had been discontinued, even when ongoing care required mechanical ventilation. *Indicated optimal cut-off value for hsCRP to predict chest CT-confirmed pneumonia.
ROC Curve of hsCRP to Diagnose of COVID-19 Pneumonia This figure shows ROC curve for hsCRP to diagnose of chest CT-confirmed COVID-19 pneumonia. The area under the ROC curve is 0.82. The optimal cut-off value for hsCRP is 2.00 given sensitivity of 81.9% and specificity of 70.3%.
Conclusion. The hsCRP was the conventional biomarker that had an excellent performance in predicting COVID-19 pneumonia lead to early anti-SARS-CoV-2 treatment. This study demonstrated the potential role of hsCRP combined with clinical assessment in negative chest X-rays to replace chest CT in a high burden COVID-19 country during pandemic situations. Background. As the SARS-CoV-2 (SCV-2) virus evolves, diagnostics and vaccines against novel strains rely on viral genome sequencing. Researchers have gravitated towards the cost-effective and highly sensitive amplicon-based (e.g. ARTIC) and hybrid capture sequencing (e.g. SARS-CoV-2 NGS Assay) to selectively target the SCV-2 genome. We provide an in silico model to compare these 2 technologies and present data on the high scalability of the Research Use Only (RUO) workflow of the SARS-CoV-2 NGS Assay.

Performance Characteristics of Sequencing Assays for Identification of the SARS-CoV-2 Viral Genome
Methods. In silico work included alignments of 383,656 high-quality genome sequences belonging to variant of concern (VOC) or variant of interest (VOI) isolates (GISAID). We profiled mismatches and sequencing dropouts using the ARTIC V3 primers, SARS-CoV-2 NGS Assay probes (Twist Bioscience) and 11 synthesized viral sequences containing mutations and compared the performance of these assays using clinical samples. Further, the miniaturized hybrid capture workflow was optimized and evaluated to support high-throughput (384-plex). The sequencing data was processed by COVID-DX software.
Results. We detected 101,432 viruses (27%) with > = 1 mismatch in the last 6 base pairs of the 3' end of ARTIC primers; of these, 413 had > = 2 mismatches in one primer. In contrast, only 38 viruses (0.01%) had enough mutations ( > = 10) in a hybrid capture probe to have a similar effect on coverage. We observed that mutations in ARTIC primers led to complete dropout of the amplicon for 4/11 isolates and diminished coverage in additional 4. Twist probes showed uniform coverage throughout with little to no dropouts. Both assays detected a wide range of variants (~99.9% coverage at 5X depth) in clinical samples (CT value < 30) collected in NY (Spring 2020-Spring 2021). The distribution of the number of reads and on target rates were more uniform among specimens within amplicon-based sequencing. However, uneven genome coverage and primer dropouts, some in the spike protein, were observed on VOC/VOI and other isolates highlighting limitations of an amplicon-based approach.