Combined Effects of Rotation and Age Spreads on Extended Main-Sequence Turn Offs

The extended main-sequence turn offs (eMSTOs) of several young to intermediate age clusters are examined in the Magellanic Clouds and the Milky Way. We explore the effects of extended star formation (eSF) and a range of stellar rotation rates on the behavior of the color–magnitude diagram, paying particular attention to the MSTO. We create synthetic stellar populations based on MESA stellar models to simulate observed Hubble Space Telescope and Gaia star cluster data. We model the effect of rotation as a nonparametric distribution, allowing for maximum flexibility. In our models the slow rotators comprise the blueward, and fast rotators the redward portion of the eMSTO. We simulate data under three scenarios: nonrotating eSF, a range of rotation rates with a single age, and a combination of age and rotation effects. We find that two of the five clusters (the youngest and oldest) favor an age spread, but these also achieve the overall worst fits of all clusters. The other three clusters show comparable statistical evidence between rotation and an age spread. In all five cases, a rotation-rate distribution alone is capable of qualitatively matching the observed eMSTO structure. In future work, we aim to compare our predicted $V\sin i$ with observations in order to better constrain the physics related to stellar rotation

Predictors of chronic COVID-19 symptoms in a community-based cohort of adults

BACKGROUND: COVID-19 can cause some individuals to experience chronic symptoms. Rates and predictors of chronic COVID-19 symptoms are not fully elucidated. OBJECTIVE: To examine occurrence and patterns of post-acute sequelae of SARS-CoV2 infection (PASC) symptomatology and their relationship with demographics, acute COVID-19 symptoms and anti-SARS-CoV-2 IgG antibody responses. METHODS: A multi-stage observational study was performed of adults (≥18 years) from 5 US states. Participants completed two rounds of electronic surveys (May-July 2020; April-May 2021) and underwent testing to anti-SARS-CoV-2 nucleocapsid protein IgG antibody testing. Latent Class Analysis was used to identify clusters of chronic COVID-19 symptoms. RESULTS: Overall, 390 adults (median [25%ile, 75%ile] age: 42 [31, 54] years) with positive SARS-CoV-2 antibodies completed the follow-up survey; 92 (24.7%) had ≥1 chronic COVID-19 symptom, with 11-month median duration of persistent symptoms (range: 1-12 months). The most common chronic COVID-19 symptoms were fatigue (11.3%), change in smell (9.5%) or taste (5.6%), muscle or joint aches (5.4%) and weakness (4.6%). There were significantly higher proportions of ≥1 persistent COVID-19 symptom (31.5% vs. 18.6%; Chi-square, P = 0.004), and particularly fatigue (15.8% vs. 7.3%, P = 0.008) and headaches (5.4% vs. 1.0%, P = 0.011) in females compared to males. Chronic COVID-19 symptoms were also increased in individuals with ≥6 acute COVID-19 symptoms, Latent class analysis revealed 4 classes of symptoms. Latent class-1 (change of smell and taste) was associated with lower anti-SARS-CoV-2 antibody levels; class-2 and 3 (multiple chronic symptoms) were associated with higher anti-SARS-CoV-2 antibody levels and more severe acute COVID-19 infection. LIMITATIONS: Ambulatory cohort with less severe acute disease. CONCLUSION: Individuals with SARS-CoV-2 infection commonly experience chronic symptoms, most commonly fatigue, changes in smell or taste and muscle/joint aches. Female sex, severity of acute COVID-19 infection, and higher anti-SARS-CoV-2 IgG levels were associated with the highest risk of having chronic COVID-19 symptoms

Association of varying clinical manifestations and positive anti-SARS-CoV-2 IgG antibodies: a cross-sectional observational study.

BACKGROUND: The complex relationship between clinical manifestations of SARS-CoV-2 and individual immune responses is not fully elucidated. OBJECTIVE: To examine phenotypes of symptomatology and their relationship with positive anti-SARS-CoV-2 IgG antibody responses. METHODS: An observational study was performed of adults (≥18 years) from 5 US states. Participants completed an electronic survey and underwent testing to anti-SARS-CoV-2 nucleocapsid protein IgG antibody between May-July 2020. Latent Class Analysis was used to identify characteristic symptom clusters. RESULTS: Overall, 9,507 adults (mean±SD age: 39.6±15.0 years) completed the survey; 6,665 (70.1%) underwent antibody testing for anti-SARS-CoV-2 IgG. Positive SARS-CoV-2 antibodies were associated with self-reported positive SARS-CoV-2 nasal swab (bivariable logistic regression; OR [CI95]: 5.98 [4.83, 7.41]), household with ≥6 members (1.27 [1.14, 1.41]) and sick contact (3.65 [3.19, 4.17]), and older age (50-69 years: 1.55 [1.37, 1.76]); ≥70 years: 1.52 [1.16, 1.99]), but inversely associated with female sex (0.61 [0.55, 0.68]). Latent class analysis revealed 8 latent classes of symptoms. Latent classes-1 (all symptoms) and 4 (fever, cough, muscle ache, anosmia, dysgeusia, and headache) were associated with the highest proportion (62.0% and 57.4%) of positive antibodies, whereas classes-6 (fever, cough, muscle ache, headache) and 8 (anosmia, dysgeusia) had intermediate proportions (48.2% and 40.5%), and classes-3 (headache, diarrhea, stomach pain) and 7 (no symptoms) had the lowest proportion (7.8% and 8.5%) of positive antibodies. CONCLUSION: SARS-CoV-2 infections manifest with substantial diversity of symptoms, which are associated with variable anti-SARS-CoV-2 IgG antibody responses. Prolonged fever, anosmia and receiving supplemental oxygen therapy had strongest associations with positive SARS-CoV-2 IgG