Gene expression and cellular changes in injured myocardium of Ciona intestinalis.

Ciona intestinalis is an invertebrate animal model system that is well characterized and has many advantages for the study of cardiovascular biology. The regulatory mechanisms of cardiac myocyte proliferation in Ciona are intriguing since regeneration of functional tissue has been demonstrated in other organs of Ciona in response to injury. To identify genes that are differentially expressed in response to Ciona cardiac injury, microarray analysis was conducted on RNA from adult Ciona hearts with normal or damaged myocardium. After a 24- or 48-h recovery period, total RNA was isolated from damaged and control hearts. Initial results indicate significant changes in gene expression in hearts damaged by ligation in comparison to control hearts. Ligation injury shows differential expression of 223 genes as compared to control with limited false discovery (5.8%). Among these 223 genes, 117 have known human orthologs of which 68 were upregulated and 49 were downregulated. Notably, Fgf9/16/20, insulin-like growth factor binding protein and Ras-related protein Rab11b were significantly upregulated in injured hearts, whereas expression of a junctophilin ortholog was decreased. Histological analyses of injured myocardium were conducted in parallel to the microarray study which revealed thickened myocardium in injured hearts. Taken together, these studies will connect differences in gene expression to cellular changes in the myocardium of Ciona, which will help to promote further investigations into the regulatory mechanisms of cardiac myocyte proliferation across chordates.

Assessing trends in breast care surveillance metrics after implementing surgeon-specific tracking and performance reporting in a large, integrated cancer network.

BACKGROUND: There are few quality metrics and benchmarks specific to surgical oncology. Development of a surgeon-level performance metrics system based on peer comparisons is hypothesized to positively influence surgical decision-making. This study established a tracking and reporting system comprised of evidence and consensus-based metrics to assess breast care delivered by individual surgeons. METHODS: Surgeons' performance is assessed by a surveillance tracking system of metrics pertaining to referrals and surgical elements. This retrospective analysis of prospectively collected breast care data reports on recurring 6-month and cumulative data from nine care locations from 2015 to 2021. RESULTS: Breast care was provided to 6659 patients by 41 surgeons. A total of 27 breast care metrics were evaluated over 7 years. Metrics with consistent, proficient results were retired after 18 months, including the rate of core biopsy, specimen orientation, and referrals to medical oncology, genetics, and fertility, among others. In clinically node-negative, hormone receptor-positive patients 70 years of age or older, the cumulative rate of sentinel lymph node (SLN) biopsy significantly decreased by 40% over 5.5 years (p < .001). The overall breast conservation rate for T0-T2 cancer increased 10% over 7 years. At the surgeon level, improvements were made in the median number of SLNs removed and in operative note documentation. CONCLUSIONS: Implementation of a surgeon-specific, peer comparison-based metric and tracking system has yielded substantive changes in breast care management. This process and governance structure can serve as a model for quantification of breast care at other institutions and for other disease sites.

Association of race and acute kidney injury among patients admitted with Coronavirus disease of 2019 (COVID-19).

BACKGROUND: COVID-19 is a multi-organ system disease, and rates of acute kidney injury (AKI) have varied significantly. Our objective was to evaluate the prevalence of AKI among hospitalized COVID-19-positive patients in a large hospital system in the Southeast of the USA. MATERIALS AND METHODS: This was a cohort study of admitted patients discharged between March 1, 2020 and April 30, 2020 at Atrium Health who had tested positive for COVID-19 by polymerase chain reaction testing of a nasopharyngeal swab. The positive test had been within 2 weeks prior to or after admission. AKI was defined and staged using the Kidney Disease Improving Global Outcomes (KDIGO) 2012 AKI criteria. Patient-level data including demographic characteristics, Charlson Comorbidity Index, and other comorbidities were also obtained. RESULTS: Of the admitted patients with COVID-19, 74 of 254 (29.1%, 95% CI 23.6 - 35.1%) had AKI. Participants with AKI compared to those without AKI tended to be ≥ 65 years of age (57 vs. 39%; p = 0.01), male (62 vs. 46%; p = 0.02), African American (70 vs. 45%; p < 0.01), have a diagnosis of chronic kidney disease (28 vs. 15%; p = 0.01), and a higher median Charlson Comorbidity Index score (6.5 vs. 4.0; p < 0.01). After adjusting for other factors, African Americans had three times the odds of developing AKI compared to other racial groups among patients admitted with a COVID-19 diagnosis (OR 3.09; 95% CI 1.49 - 6.41). CONCLUSION: Among the 254 patients hospitalized with COVID-19, we observed a high prevalence of AKI. However, a majority of survivors demonstrated renal recovery at the time of discharge. African American race was strongly associated with development of AKI and portended a poor prognosis.

Characteristics and Healthcare Burden of Patients with Schizophrenia Treated in a US Integrated Healthcare System.

BACKGROUND: Schizophrenia is one of 15 major causes of disability worldwide and is responsible for more than USD 150 billion in annual healthcare costs in the United States. Although the burden of schizophrenia as measured by healthcare resource utilization (HRU) is known to be considerable, data generally come from claims databases or healthcare systems/payors representing only a subset of patients, such as Medicare/Medicaid recipients. A broader understanding of HRU across the schizophrenia patient population would help identify underserved groups and inform strategies for improving healthcare delivery. AIMS OF THE STUDY: This observational study examined overall HRU and the influence of sociodemographic factors in adult patients with schizophrenia receiving care in a US integrated healthcare system. METHODS: A retrospective cohort study was conducted using data from electronic medical records (EMRs). Patients were required to have at least two diagnostic codes for schizophrenia recorded in the EMR within a 12-month period from January 2009 to June 2018, and to have received active care (≥ 1 in-system healthcare visit every six months) for at least 12 months before and after the index date (the earlier of the schizophrenia diagnosis dates). Patients were followed until no longer receiving active care or the end of the study. Patient characteristics were assessed during the 12-month pre-index period, and inpatient, readmission, emergency room (ER), and outpatient visits and antipsychotic prescriptions were described during follow-up. Findings were reported overall and in subgroups by race/ethnicity, age, and sex. RESULTS: The study cohort included 2,941 patients (mean age, 48.3 years; 54.5% male, 51.8% black, 45.8% with Medicare). During the follow-up period (mean, 4.6 years), inpatient hospital stays were common, with at least one all-cause, mental health-related, or schizophrenia-related inpatient visit occurring for 48.7%, 47.3%, and 38.8% of patients, respectively. Hospital readmissions within 30 days of an all-cause inpatient visit occurred in 20.4% of patients, with 14.5% of patients readmitted within 30 days of a schizophrenia-related inpatient visit. More than two-thirds of patients had ER visits, and 40.7% had schizophrenia-related ER visits. Only 46.7% of patients with a schizophrenia-related inpatient visit and 58.5% of patients with a mental health-related inpatient visit had a 30-day outpatient follow-up visit. Subgroup analyses revealed that a larger proportion of non-Hispanic black vs non-Hispanic white patients had 30-day outpatient follow-up visits, ER visits, mental health specialist visits, and antipsychotic prescriptions. Moreover, older age was associated with fewer ER and mental health specialist visits and less use of injectable and second-generation antipsychotics, and women were less likely than men to receive antipsychotic therapy, particularly injectable medications. DISCUSSION: Patients with schizophrenia receiving care in a US integrated healthcare system had considerable acute HRU and suboptimal rates of routine and follow-up care. Inequities in schizophrenia burden and care were observed in demographic subgroups. IMPLICATIONS FOR HEALTH POLICIES: Population health management strategies focusing on efficient resource allocation and improving healthcare quality are needed to reduce the burden of schizophrenia. Differential findings by race/ethnicity, age, and sex indicate the need for optimizing approaches to care in these subgroups.

The Impact of Once-Monthly Paliperidone Palmitate on Healthcare Utilization Among Patients With Schizophrenia Treated in an Integrated Healthcare System: A Retrospective Mirror-Image Study.

INTRODUCTION: Previous evidence demonstrated that patients with schizophrenia consumed substantial healthcare resources in an integrated healthcare system. This study evaluated the impact of initiating once-monthly paliperidone palmitate (PP1M) on healthcare resource utilization (HRU) among patients with schizophrenia treated in a US integrated healthcare system. METHODS: This retrospective study used electronic medical records from Atrium Health. Adults with at least two diagnoses of schizophrenia who received an initial PP1M dose between September 2009 and April 2019 (the corresponding date defined the index date) and at least one subsequent dose within 90 days were included. Additionally, patients were required to have received active care (at least one healthcare visit every 6 months) during 12-month pre- and post-index periods and at least one oral antipsychotic prescription during the 12-month pre-index period. Inpatient, emergency room (ER), and outpatient visits were compared over 12-month pre- versus post-index periods within the same cohort using McNemar's and Wilcoxon signed rank tests. Findings were reported for all patients and separately in patients with at least one schizophrenia relapse (schizophrenia-related inpatient or ER visit) during the 12-month pre-index period. RESULTS: The study cohort included 210 patients (mean age 34.2 years, 69.5% male, 39.1% had Medicaid). From the 12-month pre- to post-index period, the proportion of patients with visits and mean number of visits reduced for all-cause inpatient (67.6% to 22.4%, 1.2 to 0.4), 30-day readmission (12.4% to 2.4%, 0.2 to 0.1), and ER (68.6% to 45.7%, 2.3 to 1.2) visits, whereas the mean number of outpatient visits increased (8.7 to 11.6) (all P < 0.05). Similar trends were observed for mental health- and schizophrenia-related HRU. The trends in HRU in patients with prior relapse were similar with a higher extent of reduction in inpatient and ER use compared to the overall cohort. CONCLUSION: Initiation of PP1M was associated with reduced acute HRU in patients with schizophrenia, indicating potential clinical and economic benefits, especially in patients with prior relapse.

Modeling COVID-19 Latent Prevalence to Assess a Public Health Intervention at a State and Regional Scale: Retrospective Cohort Study.

BACKGROUND: Emergence of the coronavirus disease (COVID-19) caught the world off guard and unprepared, initiating a global pandemic. In the absence of evidence, individual communities had to take timely action to reduce the rate of disease spread and avoid overburdening their health care systems. Although a few predictive models have been published to guide these decisions, most have not taken into account spatial differences and have included assumptions that do not match the local realities. Access to reliable information that is adapted to local context is critical for policy makers to make informed decisions during a rapidly evolving pandemic. OBJECTIVE: The goal of this study was to develop an adapted susceptible-infected-removed (SIR) model to predict the trajectory of the COVID-19 pandemic in North Carolina and the Charlotte Metropolitan Region, and to incorporate the effect of a public health intervention to reduce disease spread while accounting for unique regional features and imperfect detection. METHODS: Three SIR models were fit to infection prevalence data from North Carolina and the greater Charlotte Region and then rigorously compared. One of these models (SIR-int) accounted for a stay-at-home intervention and imperfect detection of COVID-19 cases. We computed longitudinal total estimates of the susceptible, infected, and removed compartments of both populations, along with other pandemic characteristics such as the basic reproduction number. RESULTS: Prior to March 26, disease spread was rapid at the pandemic onset with the Charlotte Region doubling time of 2.56 days (95% CI 2.11-3.25) and in North Carolina 2.94 days (95% CI 2.33-4.00). Subsequently, disease spread significantly slowed with doubling times increased in the Charlotte Region to 4.70 days (95% CI 3.77-6.22) and in North Carolina to 4.01 days (95% CI 3.43-4.83). Reflecting spatial differences, this deceleration favored the greater Charlotte Region compared to North Carolina as a whole. A comparison of the efficacy of intervention, defined as 1 - the hazard ratio of infection, gave 0.25 for North Carolina and 0.43 for the Charlotte Region. In addition, early in the pandemic, the initial basic SIR model had good fit to the data; however, as the pandemic and local conditions evolved, the SIR-int model emerged as the model with better fit. CONCLUSIONS: Using local data and continuous attention to model adaptation, our findings have enabled policy makers, public health officials, and health systems to proactively plan capacity and evaluate the impact of a public health intervention. Our SIR-int model for estimated latent prevalence was reasonably flexible, highly accurate, and demonstrated efficacy of a stay-at-home order at both the state and regional level. Our results highlight the importance of incorporating local context into pandemic forecast modeling, as well as the need to remain vigilant and informed by the data as we enter into a critical period of the outbreak.

Does Neoadjuvant Chemotherapy for Breast Cancer Affect Lymph Node Harvest Rates?

Some authors report that patients receiving neoadjuvant chemotherapy have fewer lymph nodes harvested during axillary dissection and more dissections with < 10 nodes compared with patients who undergo surgery initially. We sought to determine whether there was a difference between these patient groups in terms of number of nodes harvested and number of dissections with < 10 nodes. Retrospective review of 258 patients diagnosed with breast cancer who underwent an axillary lymph node dissection between July 1, 2015, and December 31, 2017 was performed. Chi-squared test was used to assess differences between patient groups. Of 258 patients undergoing dissection, 48 per cent received neoadjuvant chemotherapy; 52 per cent underwent surgery as first therapeutic intervention. Mean number of nodes resected; 14.3 + 6.3 for patients with no prior chemotherapy versus 14.9 + 6.6 for patients with neoadjuvant chemotherapy (P = 0.48). For patients undergoing surgery as first intervention, 21 per cent had < 10 nodes harvested. For patients receiving neoadjuvant chemotherapy, 20 per cent had < 10 nodes harvested. Patients who received neoadjuvant chemotherapy showed no statistically significant difference in the number of lymph nodes harvested during axillary dissection compared with patients undergoing surgery as first intervention. Neoadjuvant chemotherapy does not reduce the node harvest at the time of axillary dissection.