Identifying Clinical Subtypes of Long COVID: An Unsupervised Machine Learning Approach

Objectives: The symptoms of patients with post-acute COVID-19 syndrome are heterogenous, impact multiple systems, and are often non-specific. To better understand the symptomatic profile of this population, this study used real-world data and unsupervised machine learning techniques to identify distinct groupings of long COVID patients. Method(s): Children/adolescents (age 0-17) and adults (age 18-64 and >=65) with >=2 primary diagnoses for U09.9 "Post COVID-19 condition" from 10/01/2021 (ICD-10 code introduction) until 03/31/2022 were selected from Optum's de-identified Clinformatics Data Mart Database, with the first diagnosis deemed index. Included patients had >=1 diagnosis for COVID-19 at least 4 weeks before index and continuous enrollment during the 12 months prior to index. Diagnoses recorded +/-2 weeks from index that were not present prior to the initial COVID-19 diagnosis were captured and used as patient features for k-means clustering. Final cluster assignments were selected based on silhouette coefficient and clinical relevancy of groupings. Result(s): 3,587 patients met eligibility criteria, yielding three clusters. Concurrent symptom domains surrounding index included breathing, fatigue, pain, cognitive, and cardiovascular diagnoses. The first cluster (N=2,578, 71.8%) was characterized by patients with only a single symptom domain (33% breathing, 33% cardiovascular, 20% fatigue, 11% cognitive). The second cluster (N=651, 18.1%) all presented with breathing symptoms accompanied by one additional domain (cardiovascular 40%, fatigue 28%, pain 18%). The final cluster (N=358, 9.9%) experienced breathing symptoms accompanied by two additional domains (fatigue and cardiovascular 34%, cardiovascular and cognitive 34%). Cluster 3 was slightly older than clusters 1 or 2 (mean age 66 vs. 58 years, respectively). Conclusion(s): Unsupervised machine learning identified distinct groups of long COVID patients, which may help inform multidisciplinary care needs. Our analysis suggests that many patients with long COVID may experience symptoms from only a single domain, and multi-system illness may generally include breathing complications accompanied by fatigue and/or cardiovascular complications.Copyright © 2023

Characteristics of Patients Diagnosed with Long COVID: Early Findings from Real-World Data

Objectives: While persistent and relapsing symptoms of COVID-19 are increasingly documented, limited data exist on the post-acute population. The objective of this analysis is to identify the characteristics of patients diagnosed with long COVID using real-world data. Method(s): Children/adolescents (age 0-17) and adults (age 18-39, 40-64 and >=65) with >=2 primary diagnoses for U09.9 "Post COVID-19 condition" from 10/01/2021 (ICD-10 code introduction) until 03/31/2022 were selected from Optum's de-identified Clinformatics Data Mart Database, with the first diagnosis deemed index. Included patients had >=1 diagnosis for COVID-19 and continuous enrollment 12 months prior to index (baseline). To ensure alignment with most institutional definitions, >=4 weeks between initial COVID-19 infection and index was required. Diagnoses recorded +/-2 weeks from index that were not present prior to the initial COVID-19 diagnosis were summarized. Newly prescribed treatments and total medical costs were evaluated during the month following index (continuous enrollment required). Result(s): 3,587 patients met eligibility criteria (mean age 59.02, 57.56% female) with a median time from initial COVID-19 infection to long COVID diagnosis of 83 days (IQR: 46-201 days). The most common concurrent diagnoses included breathing complications such as dyspnea (20.38%) and respiratory failure (15.23%);malaise and fatigue (15.31%);symptoms related to cognitive functioning/anxiety (11.35%);and chest pain (7.67%). Children/adolescents had the highest prevalence of chest pain, while patients >=65 years of age had the highest prevalence of issues with coordination. The average total medical cost during the month following long COVID diagnosis was $4,267 (SD $14,662), with common prescriptions including albuterol (4.42%), prednisone (3.51%), and methylprednisolone (2.01%). Conclusion(s): This retrospective analysis confirms clinically documented symptoms of long COVID in a large, real-world population. Once more data become available, further research on the long term economic and clinical outcomes among patients diagnosed with post-acute COVID-19 syndrome are warranted.Copyright © 2023

Disruptions in Health Care among Mwccs Participants during the Covid-19 Pandemic

Background: The COVID-19 pandemic resulted in disruptions to health care services. Vulnerable populations, including people living with HIV (PLHIV), may have experienced unique challenges when accessing medical care. The objective of this study was to evaluate the impact of social disruptions on health care visits among Multicenter AIDS Cohort Study/Women's Interagency HIV Study Combined Cohort Study (MWCCS) participants. Method(s): A survey collecting data on missed health care visits and social disruptions (i.e., disruptions in employment, childcare, financial support, housing, and health insurance) during the pandemic was administered via telephone to MWCCS participants 1-3 times from March and September 2020. Logistic regression models adjusted for sociodemographics and HIV-status were used to test the association between social disruptions and three medical care interruption outcomes (i.e., missed healthcare appointment, interruption of mental health care, and interruption of substance use care). Result(s): Surveys (n=10,076) were conducted among 2238 PLHIV (61% women) and 1427 people living without HIV (PLWoH) (41% women). Overall, 42% of participants reported disruptions in health care with no significant difference by HIV status. Among participants receiving mental health care services and substance use treatment, 52% and 36% reported interruptions of care, respectively. Participants reporting >= 2 social disruptions were more likely to report missed health care appointments (adjusted odds ratio [aOR]: 1.81, 95% confidence interval [CI]: 1.54-2.13), and interruptions in mental health care [aOR: 2.42, 95%CI: 1.85-3.17) or substance use treatment (aOR: 1.97, 95%CI: 1.26-3.09), compared to those reporting no disruptions. Participants who were unemployed were more likely to miss health care appointments (aOR:1.46, 95% CI: 1.25-1.71) and report disruptions in mental health care (aOR: 2.02, 95% CI: 1.54-2.66) compared to those who were employed. PLHIV reporting >= 2 social disruptions were at increased risk for missed health care appointments (aOR 1.92, 95%CI: 1.56-2.36) and disruptions in mental health care (aOR: 2.54, 95%CI: 1.83-3.53 (Table 1). Conclusion(s): Social disruptions as a result of the COVID-19 pandemic have adversely impacted the receipt of health care among PLHIV and PLWoH, including the receipt of treatment for mental health and substance abuse. Providing childcare, financial support, housing, and health insurance may reduce disruptions in care and improve health outcomes.

Mental Health and Alcohol Use during and before the Early Phases of the COVID-19 Pandemic.

The early phases of the coronavirus 19 disease (COVID-19) pandemic were associated with changes in psychological well-being and alcohol use. However, it is unclear whether these changes are artifacts of psychological well-being and alcohol use prior to the pandemic across different sociodemographic groups. We received surveys from 247 adult residents of Allegheny County, Pennsylvania (United States), with an oversampling of sexual- and gender-minority individuals. Responses included measures of psychological well-being, substance use, and sociodemographic characteristics. Unadjusted mean depression scores, anxiety scores, and number of drinking days increased for all age and income groups during COVID-19, while average number of drinks per drinking day and days intoxicated differentially increased or decreased by age and income groups. Using Bayesian seemingly unrelated regression, we assessed depression and anxiety symptoms and alcohol use during the early stages of the pandemic and one month before COVID-19 was first identified in Allegheny County concurrently. Those in the youngest (18-24) group drank on more days during (but not before) the pandemic than those in the 25-44 age group. Compared to cisgender women, gender-minority adults had higher depression scores during the early stages of the pandemic. Employed adults had lower anxiety scores during (but not before) the pandemic than adults who were unemployed. Those with past-year annual incomes above $80,000 had fewer drinks on average drinking occasions than those in the $40,000 or below group before (but not during) the pandemic. Patterns of psychological distress and alcohol use associated with the COVID-19 pandemic differ by subgroup compared to patterns prior to the pandemic. Interventions addressing worsening mental health outcomes and shifting alcohol use patterns must be sensitive to the needs of vulnerable groups, such as younger adults and those experiencing poverty or unemployment.

Association of PTSD With Longitudinal COVID-19 Burden in a Mixed-Serostatus Cohort of Men and Women: Weathering the Storm.

OBJECTIVES: This study of people with HIV (PWH) and those without HIV conducted during the COVID-19 pandemic in the United States in 2020 examines the impact of posttraumatic stress disorder (PTSD) on COVID-19 burden, defined as pandemic-related disruptions. METHODS: Data consisted of survey responses on PTSD among participants (N = 2434) enrolled in the Multicenter AIDS Cohort Study (MACS) and the Women's Interagency HIV (WIHS) cohorts. Unadjusted and adjusted regression models were used to examine the association of PTSD with COVID-19 burden (overall and domain-specific burdens). Quasi-Poisson regression models were used to assess associations with the COVID-19 burden score and 2 domain-specific burdens: (1) changes in resources and (2) interruptions in health care. Analyses was adjusted for age, race/ethnicity, HIV serostatus, current smoking status, number of comorbidities, education, and study regions. RESULTS: Study participants were a median age of 58 (interquartile range, 52-65) years. In both bivariate and multivariable models, PTSD severity was associated with greater overall COVID-19 burden. PTSD severity was associated with the number of resource changes and number of interruptions in medical care. These findings were also consistent across cohorts (MACS/WIHS) and across HIV serostatus, suggesting a greater risk for COVID-19 burden with greater PTSD severity, which remained significant after controlling for covariates. CONCLUSIONS: This study builds on emerging literature demonstrating the impact of mental health on the burden and disruption associated with the COVID-19 pandemic, providing context specific to PWH. The ongoing pandemic requires structural and social interventions to decrease disruption to resources and health resource needs among these vulnerable populations.

Changes in activity locations during the COVID-19 pandemic and associations with depression, anxiety, loneliness, and alcohol use.

Introduction: Restrictions and guidelines to limit the spread of COVID-19 caused considerable and rapid changes to individuals' daily routines. This study examines how activity locations changed during the COVID-19 pandemic and associated social distancing restrictions, and whether these changes were associated with depression, anxiety, loneliness, and alcohol use. Methods: A web-based survey was conducted early in the COVID-19 pandemic (May-June 2020) in Allegheny County (Pittsburgh), Pennsylvania. Participants (n = 265) reported visits to activity locations in the last 30 days and retrospectively for February 2020 (pre-pandemic). A principal components analysis was conducted to assess change in utilization of activity locations. Component scores of changes to activity locations were compared by sociodemographics. Poisson and zero-inflated negative binomial models were used to examine the relationship between component scores and pandemic depression symptoms, anxiety symptoms, loneliness, and drinking days. Results: Five distinct principal components of activity location changes were identified. The first component, characterizing broad reductions in activity locations during the early phases of the pandemic, was associated with increased depression and loneliness. Conclusions: Results indicate non-uniform shifts in routine activities during the pandemic and highlight the importance of understanding how changes to the social environment affect individuals' psychological wellbeing and alcohol use.

POSA420 Trends in Thrombotic and Cardiovascular Events Among Hospitalized Patients with COVID-19 in the US: Findings from a Large Electronic Health Records Database

Objectives: Patients with the coronavirus disease 2019 (COVID-19) have an increased risk of thrombotic and cardiac events. We assessed the incidence and trends in selected thrombotic and cardiac events among hospitalized COVID-19 patients from a large, geographically diverse US electronic health records (EHR) database. Methods: This retrospective study analyzed Optum® de-identified COVID-19 EHR dataset to identify patients hospitalized between 03/01/2020 and 10/31/2020 with a COVID-19 diagnosis code. Patients were members of an integrated delivery network with ≥1 encounter during the 12 months prior to admission. Events of interest, including acute coronary syndrome (ACS), venous thromboembolism (VTE), stroke and myocarditis, were identified by diagnosis codes during hospitalization. Patients with any such events in their 12-month baseline were excluded. A composite event was defined by the occurrence of any of these events. Events were reported as proportions, in total as well as by month of admission and age group. Results: Among 25,574 hospitalized COVID-19 patients, the median age was 60 years (IQR: 44-72), and 54.5% were female. The composite event occurred in 3,052 (11.9%) patients (ACS=6.4%, VTE=4.1%, stroke=2.4%, myocarditis=0.6%) and its incidence increased with age (≤19=4.6%, 20-49=6.2%, 50-59=11.7%, 60-69=13.4%, ≥70=17.3%). In the youngest age group, myocarditis (2.2%) and VTE (1.7%) contributed to the majority of events, while in the oldest, ACS (10.9%), VTE (4.2%) and stroke (4.1%) were observed most often. Patients admitted during March had the highest incidence (20.6%), which decreased to 9.1% by July and remained steady through October (9.6%). The percentage decline in the composite event incidence during the study period was higher in younger versus older patients (≤19=77.0% 20-49=61.9%, 50-59=66.0%, 60-69=58.6%, ≥70=44.1%). Conclusions: The incidence of the composite event was highest among patients hospitalized early in the pandemic. The composite event occurred in almost 5% patients ≤19 years old and this group experienced the largest decline during the study period.

Prevalence of COVID-19-Related Social Disruptions and Effects on Psychosocial Health in a Mixed-Serostatus Cohort of Men and Women.

OBJECTIVES: This study describes prevention behavior and psychosocial health among people living with HIV (PLHIV) and HIV-negative people during the early wave of the coronavirus disease 2019 (COVID-19) pandemic in the United States. We assessed differences by HIV status and associations between social disruption and psychosocial health. DESIGN: A cross-sectional telephone/videoconference administered survey of 3411 PLHIV and HIV-negative participants in the Multicenter AIDS Cohort Study/WIHS Combined Cohort Study (MWCCS). METHODS: An instrument combining new and validated measures was developed to assess COVID-19 prevention efforts, social disruptions (loss of employment, childcare, health insurance, and financial supports), experiences of abuse, and psychosocial health. Interviews were performed between April and June 2020. Associations between social disruptions and psychosocial health were explored using multivariable logistic regression, adjusting for sociodemographics and HIV status. RESULTS: Almost all (97.4%) participants reported COVID-19 prevention behavior; 40.1% participants reported social disruptions, and 34.3% reported health care appointment disruption. Men living with HIV were more likely than HIV-negative men to experience social disruptions (40.6% vs. 32.9%; P < 0.01), whereas HIV-negative women were more likely than women with HIV to experience social disruptions (51.1% vs. 39.8%, P < 0.001). Participants who experienced ≥2 social disruptions had significantly higher odds of depression symptoms [aOR = 1.32; 95% confidence interval (CI): 1.12 to 1.56], anxiety (aOR = 1.63; 95% CI: 1.17 to 2.27), and social support dissatisfaction (aOR = 1.81; 95% CI: 1.26 to 2.60). CONCLUSIONS: This study builds on emerging literature demonstrating the psychosocial health impact related to the COVID-19 pandemic by providing context specific to PLHIV. The ongoing pandemic requires structural and social interventions to decrease social disruption and address psychosocial health needs among the most vulnerable populations.

"It feels a bit like drowning": Expectations and Experiences of Motherhood during COVID-19

What is the result of bringing unrealistic and overwhelming conditions of motherhood into the context of a global pandemic? This article aims to explore the impacts of maternal expectations and experiences in the context of COVID-19. Through first-person accounts of eighty self-identified mothers parenting through COVID, we aim to explore "good" mother myths, feelings of failure, and the paradoxical freedoms that occur under pandemic time.

[Corona Virus, Breastfeeding and Guidelines - a Worldwide Review]

INTRODUCTION: The COVID-19 pandemic has forced countries worldwide to face major issues and challenges. Among those challenges is breastfeeding from the first hours after birth until late infancy, in hospitals and communities. There is a consensus throughout the world and among leading international professional medical associations that breastfeeding is of significant importance for short- and long-term health outcomes in mothers and infants, as well as for its public health impact and reduction of national health expenditures. Moreover, breastfeeding or human milk feeding have been shown to reduce morbidity, specifically respiratory infections, among infants and children. This is not the first time health systems are dealing with coronavirus outbreaks, although currently, in the COVID-19 pandemic, there is still much that is unknown. Dealing with the unknown can lead to guidelines that may not fully take into consideration relevant risk benefit ratios for individuals and groups. In this review, we aim to summarize the guidelines of different leading professional groups around the world dealing with the COVID-19 pandemic. Evidence-based medicine rests on relevant scientific evidence, patients' values and preferences and clinical judgment. We wish to propose guidelines based on available evidence concerning breastfeeding, the current pandemic and weighing in potential risks and benefits while highlighting the need for ongoing breastfeeding research.

Toward a New Framework for Equity in Epidemic Allocations: Implications of HIV-Prevention-Allocation Misalignment

Social stigma inhibits provision and uptake of HIV prevention and care;experiences and anticipation of stigma in health care settings are associated with lower rates of HIV testing, preexposure prophylaxis uptake, retention in care, and antiretroviral therapy adherence. [...]relying solely on biomedical HIV prevention for young Black and Latinx gay and bisexual men and transwomen will not constitute a sufficient response to their needs. In response, local researchers collaborated with local sexual and gender minority youths of color to develop, implement, and evaluate a multilevel HIV-prevention and care intervention.3 The Pennsylvania Department of Health and the state's HIV Planning Group, whose composition has robustly included most-at-risk populations empowered to identify priority populations and recommend resource allocations, supported and promoted the project for statewide scale-up. Emerging research incorporating wraparound clinical harm reduction4 and intersectional stigma reduction5 into biomedical HIV prevention shows promise. Because of their complexity, such interventions are difficult to operationalize, field, and consolidate into cost-per-person metrics;for these reasons, multilevel, social determinants-based interventions are excluded from allocation models provided. The proposed EqEA framework may help achieve Ending the HIV Epidemic endpoints and offers insights for other infectious diseases, such as directing COVID-19 prevention resources to minority communities wherein SARSCoV-2 is exacting a disproportionately lethal toll and federal aid formulas for hospitals have large-scale racial biases.7 Adopting equitable allocation strategies will ensure that resources do not remain woefully misaligned and our systems do not exacerbate the welldefined shortcomings of decades of efforts. >4jPH CORRESPONDENCE Correspondence should be sent to M. Reuel Friedman, PhD, PO Box 7319, Pittsburgh, PA 15213 (e-mail: mrf9@pitt.edu).