Patterns and Disparities in Telehealth Usage During the COVID-19 Pandemic Across Surgical Specialties.

Background: The COVID-19 pandemic has accelerated telehealth usage. This study aims to understand the impact of sociodemographic factors on telehealth usage during COVID-19 among surgical specialties. Methods: Our data contain surgical outpatient visits at an academic center from five periods between 2019 and 2020. A difference-in-differences regression model was used to examine the effect of exposure variables on virtual visit proportions between prepandemic and postpandemic time periods. Results: Compared with white patients, non-Medicare beneficiaries, and English-proficient patients, the rate of uptake in telehealth visits from prepandemic to postpandemic periods was lower for black patients, Medicare beneficiaries, and non-English-speaking patients, respectively. Surgical subspecialties saw varied usage of telehealth. A strong preference for phone visits by black patients, Medicare beneficiaries, and non-English-speaking patients existed. Conclusion: Phone visits are an important resource for marginalized communities. Understanding disparities in telemedicine usage may inform policy that could alleviate inequities in health care access.

Adjuvant chemotherapy versus observation following radical cystectomy for locally advanced urothelial carcinoma of the bladder.

BACKGROUND: The role of adjuvant chemotherapy (AC) in patients with locally advanced bladder cancer following radical cystectomy (RC) remains uncertain, with contemporary clinical trials underpowered and closed early due to low accrual. OBJECTIVE: To conduct observational analyses designed to emulate a completed randomized trial of AC in patients with locally advanced bladder cancer. DESIGN, SETTINGS, AND PARTICIPANTS: Based on EORTC 30994 eligibility criteria, we identified adult patients aged 35 to 75 with pT3/pT4 Nany M0 or Tany pN1-3 M0, R0 urothelial carcinoma of the bladder treated with RC and lymphadenectomy from 2006 to 2015 in the National Cancer Database. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: A propensity score for receipt of AC within 3 months of RC was estimated, and the associations of AC with overall survival were evaluated after reweighting by stabilized inverse probability of treatment weights. RESULTS: Of the 2,416 patients who met inclusion criteria, 945 (39%) received AC after RC. After propensity score adjustment, baseline characteristics were well-balanced. Median follow-up was 26.0 months. After IPW-reweighting, overall survival was 43% vs. 36% at 5-years and 34% vs. 24% at 10-years, among those who did and did not receive AC, respectively (P < 0.01). In IPW-adjusted Cox regression models, AC was associated with improved all-cause mortality (HR 0.71; 95% CI 0.63-0.81; P < 0.01). Estimates were overall consistent in analyses that examined heterogeneity of treatment effects. Limitations include unmeasured confounding, selection bias, and lack of baseline renal function data. CONCLUSION: In observational analyses designed to emulate EORTC 30994, AC was associated with improved overall survival compared to observation after RC. Results were consistent across baseline patient and tumor characteristics.

Protocol to assess performance of crisis standards of care guidelines for clinical triage.

During the COVID-19 pandemic, US states developed Crisis Standards of Care (CSC) algorithms to triage allocation of scarce resources to maximize population-wide benefit. While CSC algorithms were developed by ethical debate, this protocol guides their quantitative assessment. For CSC algorithms, this protocol addresses (1) adapting algorithms for empirical study, (2) quantifying predictive accuracy, and (3) simulating clinical decision-making. This protocol provides a framework for healthcare systems and governments to test the performance of CSC algorithms to ensure they meet their stated ethical goals. For complete details on the use and execution of this protocol, please refer to Jezmir et al. (2021).

Performance of crisis standards of care guidelines in a cohort of critically ill COVID-19 patients in the United States.

Many US states published crisis standards of care (CSC) guidelines for allocating scarce critical care resources during the COVID-19 pandemic. However, the performance of these guidelines in maximizing their population benefit has not been well tested. In 2,272 adults with COVID-19 requiring mechanical ventilation drawn from the Study of the Treatment and Outcomes in Critically Ill Patients with COVID-19 (STOP-COVID) multicenter cohort, we test the following three approaches to CSC algorithms: Sequential Organ Failure Assessment (SOFA) scores grouped into ranges, SOFA score ranges plus comorbidities, and a hypothetical approach using raw SOFA scores not grouped into ranges. We find that area under receiver operating characteristic (AUROC) curves for all three algorithms demonstrate only modest discrimination for 28-day mortality. Adding comorbidity scoring modestly improves algorithm performance over SOFA scores alone. The algorithm incorporating comorbidities has modestly worse predictive performance for Black compared to white patients. CSC algorithms should be empirically examined to refine approaches to the allocation of scarce resources during pandemics and to avoid potential exacerbation of racial inequities.

Empirical Assessment of U.S. Coronavirus Disease 2019 Crisis Standards of Care Guidelines.

To establish the feasibility of empirically testing crisis standards of care guidelines. DESIGN: Retrospective single-center study. SETTING: ICUs at a large academic medical center in the United States. SUBJECTS: Adult, critically ill patients admitted to ICU, with 27 patients admitted for acute respiratory failure due to coronavirus disease 2019 and 37 patients admitted for diagnoses other than coronavirus disease 2019. INTERVENTIONS: Review of electronic health record. MEASUREMENTS AND MAIN RESULTS: Many U.S. states released crisis standards of care guidelines with algorithms to allocate scarce healthcare resources during the coronavirus disease 2019 pandemic. We compared state guidelines that represent different approaches to incorporating disease severity and comorbidities: New York, Maryland, Pennsylvania, and Colorado. Following each algorithm, we calculated priority scores at the time of ICU admission for a cohort of patients with primary diagnoses of coronavirus disease 2019 and diseases other than coronavirus disease 2019 (n = 64). We assessed discrimination of 28-day mortality by area under the receiver operating characteristic curve. We simulated real-time decision-making by applying the triage algorithms to groups of two, five, or 10 patients. For prediction of 28-day mortality by priority scores, area under the receiver operating characteristic curve was 0.56, 0.49, 0.53, 0.66, and 0.69 for New York, Maryland, Pennsylvania, Colorado, and raw Sequential Organ Failure Assessment score algorithms, respectively. For groups of five patients, the percentage of decisions made without deferring to a lottery were 1%, 57%, 80%, 88%, and 95% for New York, Maryland, Pennsylvania, Colorado, and raw Sequential Organ Failure Assessment score algorithms, respectively. The percentage of decisions made without lottery was higher in the subcohort without coronavirus disease 2019, compared with the subcohort with coronavirus disease 2019. CONCLUSIONS: Inclusion of comorbidities does not consistently improve an algorithm's performance in predicting 28-day mortality. Crisis standards of care algorithms result in a substantial percentage of tied priority scores. Crisis standards of care algorithms operate differently in cohorts with and without coronavirus disease 2019. This proof-of-principle study demonstrates the feasibility and importance of empirical testing of crisis standards of care guidelines to understand whether they meet their goals.

Composite Outcomes After Posterior Colporrhaphy With and Without Biologic Graft Augmentation.

OBJECTIVES: To compare subjective and objective failure after posterior colporrhaphy with and without biologic graft augmentation. METHODS: We conducted a retrospective chart review and telephone survey of patients who underwent a posterior colporrhaphy with and without biologic graft augmentation from 2005 to 2019. Patients who underwent a sacrocolpopexy, uterosacral ligament suspensions, or anterior sacrospinous ligament fixation were excluded. We determined objective, subjective, and composite failure rates. RESULTS: Although 137 patients met eligibility criteria, 56 did not have valid contact information and, therefore, were excluded from the study. Of the 81 with valid contact information, 67 (83%) agreed to participate. There were 24 (36%) who had a native tissue repair and 43 (64%) who had biologic graft augmentation. Median telephone follow-up was 73 months (interquartile range [IQR], 36-117). Objective failure was similar for the biologic graft (37%) and the native tissue (42%) groups (P = 0.72). Subjective failure was twice as likely among the biologic graft group (60%) compared with the native tissue group (33%, P = 0.03). Patients with a biologic graft reported a median Pelvic Floor Distress Inventory-Short Form 20 improvement of 31 (IQR, 8-33), while those with a native tissue repair reported a median improvement of 45 (IQR, 4-46). Overall, 78% were satisfied, 85% would recommend the procedure, and 84% reported symptomatic improvement. Reoperation occurred for 15% of patients. CONCLUSIONS: Although biologic graft-augmented posterior colporrhaphy may be a safe and effective treatment option, the use of biologic grafts in the posterior compartment does not appear to confer a significant long-term benefit to traditional posterior colporrhaphy.

Evaluation of Three Commercial SARS-CoV-2 Serologic Assays and Their Performance in Two-Test Algorithms.

Sensitive and specific severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serologic assays are needed to inform diagnostic, therapeutic, and public health decision-making. We evaluated three commercial serologic assays as stand-alone tests and as components of two-test algorithms. Two nucleocapsid antibody tests (Abbott IgG and Roche total antibody) and one spike protein antibody test (DiaSorin IgG) were included. We assessed sensitivity using 128 serum samples from symptomatic PCR-confirmed coronavirus disease 2019 (COVID-19)-infected patients and specificity using 1,204 samples submitted for routine serology prior to COVID-19's emergence, plus 64 pandemic-era samples from SARS-CoV-2 PCR-negative patients with respiratory symptoms. Assays were evaluated as stand-alone tests and as components of a two-test algorithm in which positive results obtained using one assay were verified using a second assay. The two nucleocapsid antibody tests were more sensitive than the spike protein antibody test overall (70% and 70% versus 57%; P ≤ 0.003), with pronounced differences observed using samples collected 7 to 14 days after symptom onset. All three assays were comparably sensitive (≥89%; P ≥ 0.13) using samples collected >14 days after symptom onset. Specificity was higher using the nucleocapsid antibody tests (99.3% and 99.7%) than using the spike protein antibody test (97.8%; P ≤ 0.002). When any two assays were paired in a two-test algorithm, the specificity was 99.9% (P < 0.0001 to 0.25 compared with the individual assays), and the positive predictive value (PPV) improved substantially, with a minimal effect on the negative predictive value (NPV). In conclusion, two nucleocapsid antibody tests outperformed a spike protein antibody test. Pairing two different serologic tests in a two-test algorithm improves the PPV, compared with the individual assays alone, while maintaining the NPV.

Empirical Assessment of COVID-19 Crisis Standards of Care Guidelines.

BACKGROUND: Several states have released Crisis Standards of Care (CSC) guidelines for the allocation of scarce critical care resources. Most guidelines rely on Sequential Organ Failure Assessment (SOFA) scores to maximize lives saved, but states have adopted different stances on whether to maximize long-term outcomes (life-years saved) by accounting for patient comorbidities. METHODS: We compared 4 representative state guidelines with varying approaches to comorbidities and analyzed how CSC prioritization correlates with clinical outcomes. We included 27 laboratory-confirmed COVID-19 patients admitted to ICUs at Brigham and Women's Hospital from March 12 to April 3, 2020. We compared prioritization algorithms from New York, which assigns priority based on SOFA alone; Maryland, which uses SOFA plus severe comorbidities; Pennsylvania, which uses SOFA plus major and severe comorbidities; and Colorado, which uses SOFA plus a modified Charlson comorbidity index. RESULTS: In pairwise comparisons across all possible pairs, we found that state guidelines frequently resulted in tie-breakers based on age or lottery: New York 100% of the time (100% resolved by lottery), Pennsylvania 86% of the time (18% by lottery), Maryland 93% of the time (35% by lottery), and Colorado: 32% of the time (10% by lottery). The prioritization algorithm with the strongest correlation with 14-day outcomes was Colorado (rs = -0.483. p = 0.011) followed by Maryland (rs = -0.394, p =0.042), Pennsylvania (rs = -0.382, p = 0.049), and New York (rs = 0). An alternative model using raw SOFA scores alone was moderately correlated with outcomes (rs = -0.448, p = 0.019). CONCLUSIONS: State guidelines for scarce resource allocation frequently resulted in identical priority scores, requiring tie-breakers based on age or lottery. These findings suggest that state CSC guidelines should be further assessed empirically to understand whether they meet their goals.

PHF6 and DNMT3A mutations are enriched in distinct subgroups of mixed phenotype acute leukemia with T-lineage differentiation.

The genetic aberrations that drive mixed phenotype acute leukemia (MPAL) remain largely unknown, with the exception of a small subset of MPALs harboring BCR -ABL1 and MLL translocations. We performed clinicopathologic and genetic evaluation of 52 presumptive MPAL cases at Memorial Sloan Kettering Cancer Center. Only 29 out of 52 (56%) cases were confirmed to be bona fide MPAL according to the 2016 World Heath Organization classification. We identified PHF6 and DNMT3A mutations as the most common recurrent mutations in MPAL, each occurring in 6 out of 26 (23%) cases. These mutations are mutually exclusive of each other and BCR-ABL1/MLL translocations. PHF6- and DNMT3A-mutated MPAL showed marked predilection for T-lineage differentiation (5/6 PHF6 mutated, 6/6 DNMT3A mutated). PHF6-mutated MPAL occurred in a younger patient cohort compared with DNMT3A-mutated cases (median age, 27 years vs 61 years, P < .01). All 3 MPAL cases with both T- and B-lineage differentiation harbored PHF6 mutations. MPAL with T-lineage differentiation was associated with nodal or extramedullary involvement (9/15 [60%] vs 0, P = .001) and a higher relapse incidence (78% vs 22%, P = .017) compared with those without T-lineage differentiation. Sequencing studies on flow-cytometry-sorted populations demonstrated that PHF6 mutations are present in all blast compartments regardless of lineage differentiation with high variant allele frequency, implicating PHF6 as an early mutation in MPAL pathogenesis. In conclusion, PHF6 and DNMT3A mutations are the most common somatic alterations identified in MPAL and appear to define 2 distinct subgroups of MPAL with T-lineage differentiation with inferior outcomes.

Patterns and functional implications of rare germline variants across 12 cancer types.

Large-scale cancer sequencing data enable discovery of rare germline cancer susceptibility variants. Here we systematically analyse 4,034 cases from The Cancer Genome Atlas cancer cases representing 12 cancer types. We find that the frequency of rare germline truncations in 114 cancer-susceptibility-associated genes varies widely, from 4% (acute myeloid leukaemia (AML)) to 19% (ovarian cancer), with a notably high frequency of 11% in stomach cancer. Burden testing identifies 13 cancer genes with significant enrichment of rare truncations, some associated with specific cancers (for example, RAD51C, PALB2 and MSH6 in AML, stomach and endometrial cancers, respectively). Significant, tumour-specific loss of heterozygosity occurs in nine genes (ATM, BAP1, BRCA1/2, BRIP1, FANCM, PALB2 and RAD51C/D). Moreover, our homology-directed repair assay of 68 BRCA1 rare missense variants supports the utility of allelic enrichment analysis for characterizing variants of unknown significance. The scale of this analysis and the somatic-germline integration enable the detection of rare variants that may affect individual susceptibility to tumour development, a critical step toward precision medicine.

Systematic discovery of Xist RNA binding proteins.

Noncoding RNAs (ncRNAs) function with associated proteins to effect complex structural and regulatory outcomes. To reveal the composition and dynamics of specific noncoding RNA-protein complexes (RNPs) in vivo, we developed comprehensive identification of RNA binding proteins by mass spectrometry (ChIRP-MS). ChIRP-MS analysis of four ncRNAs captures key protein interactors, including a U1-specific link to the 3' RNA processing machinery. Xist, an essential lncRNA for X chromosome inactivation (XCI), interacts with 81 proteins from chromatin modification, nuclear matrix, and RNA remodeling pathways. The Xist RNA-protein particle assembles in two steps coupled with the transition from pluripotency to differentiation. Specific interactors include HnrnpK, which participates in Xist-mediated gene silencing and histone modifications but not Xist localization, and Drosophila Split ends homolog Spen, which interacts via the A-repeat domain of Xist and is required for gene silencing. Thus, Xist lncRNA engages with proteins in a modular and developmentally controlled manner to coordinate chromatin spreading and silencing.