Risk Factors for Illness Severity Among Pregnant Women With Confirmed Severe Acute Respiratory Syndrome Coronavirus 2 Infection-Surveillance for Emerging Threats to Mothers and Babies Network, 22 State, Local, and Territorial Health Departments, 29 March 2020-5 March 2021.

BACKGROUND: Pregnant women with coronavirus disease 2019 (COVID-19) are at increased risk for severe illness compared with nonpregnant women. Data to assess risk factors for illness severity among pregnant women with COVID-19 are limited. This study aimed to determine risk factors associated with COVID-19 illness severity among pregnant women with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: Pregnant women with SARS-CoV-2 infection confirmed by molecular testing were reported during 29 March 2020-5 March 2021 through the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET). Criteria for illness severity (asymptomatic, mild, moderate-to-severe, or critical) were adapted from National Institutes of Health and World Health Organization criteria. Crude and adjusted risk ratios for moderate-to-severe or critical COVID-19 illness were calculated for selected demographic and clinical characteristics. RESULTS: Among 7950 pregnant women with SARS-CoV-2 infection, moderate-to-severe or critical COVID-19 illness was associated with age 25 years and older, healthcare occupation, prepregnancy obesity, chronic lung disease, chronic hypertension, and pregestational diabetes mellitus. Risk of moderate-to-severe or critical illness increased with the number of underlying medical or pregnancy-related conditions. CONCLUSIONS: Older age and having underlying medical conditions were associated with increased risk of moderate-to-severe or critical COVID-19 illness among pregnant women. This information might help pregnant women understand their risk for moderate-to-severe or critical COVID-19 illness and can inform targeted public health messaging.

Methods of Tracking Newborns: New York State Zika Pregnancy and Infant Registry, 2015-2017.

Objectives. To describe methods employed to track infants enrolled in the New York State Zika Pregnancy and Infant Registry (NYSZPIR) and demonstrate the benefits of population databases to improve the process.Methods. We used patient medical records and provider outreach, New York State Immunization Information System (NYSIIS), and New York State Early Hearing Detection and Intervention Information System (NYEHDI-IS) to gather medical information. We used descriptive statistics to summarize variables and the McNemar test to determine statistical significance (P < .05).Results. We identified 109 live births from NYSZPIR mothers. Provider information was documented for 106 (97.2%) infants in NYSIIS compared with 72 (66.1%) through chart review. Collected results of newborn hearing screening increased from 82 (75.2%) to 106 (97.2%) using NYEHDI-IS. The amount of data obtained was significantly higher (P < .001) when including NYSIIS and NYEHDI-IS compared with using medical records alone.Conclusions. Public health surveillance systems can be used to track infants using data sources such as NYSIIS and NYEHDI-IS in addition to traditional methods. Using medical records alone is inadequate for locating and tracking infants and may result in high lost to follow-up rates.