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Borelli, Jessica L.

0000-0001-8471-6732

Mayo Clinic

University of California, Irvine

Citations 3

The Effect of COVID-19 Public Health Measures on Mental Health in California
Nurmi, Erika L. , Lambert, Natalie , Rahmani, Amir M. , Chakraborty, Rana , Rahmani, Amir M , Mehrabadi, Milad Asgari , Borelli, Jessica L. , Downs, Charles A , Pinto, Melissa D.

Issues in Mental Health Nursing | November 29, 2024 | Volume: 45 | Issue: 12 | Pages: 1353-1358

10.1080/01612840.2024.2418563 Get It

The other COVID ‐19 survivors: Timing, duration, and health impact of post‐acute sequelae of SARS‐CoV ‐2 infection
Lambert, Natalie , Corps, Survivor, El‐Azab, Sarah A. , Ramrakhiani, Nathan S. , Barisano, Anthony , Lu, Yu , Taylor, Kaitlyn, Esperança, Álvaro , Mendiola, Christian , Abrahim, Heather L. , Hughes, Thomas , Rahmani, Amir M. , Chakraborty, Rana , Corps, Survivor, Yu, Lu, Downs, Charles A , Borelli, Jessica L. , Pinto, Melissa D.

Journal of Clinical Nursing | October 1, 2022 | Volume: 33 | Issue: 1 | Pages: 76-88

10.1111/jocn.16541 Get It

Abstract Aims and Objectives To determine the frequency, timing, and duration of post‐acute sequelae of SARS‐CoV‐2 infection (PASC) and their impact on health and function. Background Post‐acute sequelae of SARS‐CoV‐2 infection is an emerging major public health problem that is poorly understood and has no current treatment or cure. PASC is a new syndrome that has yet to be fully clinically characterised. Design Descriptive cross‐sectional survey ( n = 5163) was conducted from online COVID‐19 survivor support groups who reported symptoms for more than 21 days following SARS‐CoV‐2 infection. Methods Participants reported background demographics and the date and method of their covid diagnosis, as well as all symptoms experienced since onset of covid in terms of the symptom start date, duration, and Likert scales measuring three symptom‐specific health impacts: pain and discomfort, work impairment, and social impairment. Descriptive statistics and measures of central tendencies were computed for participant demographics and symptom data. Results Participants reported experiencing a mean of 21 symptoms (range 1–93); fatigue (79.0%), headache (55.3%), shortness of breath (55.3%) and difficulty concentrating (53.6%) were the most common. Symptoms often remitted and relapsed for extended periods of time (duration M = 112 days), longest lasting symptoms included the inability to exercise ( M = 106.5 days), fatigue ( M = 101.7 days) and difficulty concentrating, associated with memory impairment ( M = 101.1 days). Participants reported extreme pressure at the base of the head, syncope, sharp or sudden chest pain, and “brain pressure” among the most distressing and impacting daily life. Conclusions Post‐acute sequelae of SARS‐CoV‐2 infection can be characterised by a wide range of symptoms, many of which cause moderate‐to‐severe distress and can hinder survivors' overall well‐being. Relevance to Clinical Practice This study advances our understanding of the symptoms of PASC and their health impacts.
COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler Looking for Clarity in the Haze of the Pandemic
Pinto, Melissa D. , Abrahim, Heather L. , Lambert, Natalie , Nurmi, Erika L. , Chakraborty, Rana , Pinto, Melissa D , Downs, Charles A , Huang, Yong, Borelli, Jessica L. , Mehrabadi, Milad Asgari , Dutt, Nikil D. , Rahmani, Amir M.

Clinical Nursing Research | September 24, 2022 | Volume: 31 | Issue: 8 | Pages: 1390-1398

10.1177/10547738221125632 Get It

Post-acute sequelae of SARS-CoV-2 (PASC) is defined as persistent symptoms after apparent recovery from acute COVID-19 infection, also known as COVID-19 long-haul. We performed a retrospective review of electronic health records (EHR) from the University of California COvid Research Data Set (UC CORDS), a de-identified EHR of PCR-confirmed SARS-CoV-2-positive patients in California. The purposes were to (1) describe the prevalence of PASC, (2) describe COVID-19 symptoms and symptom clusters, and (3) identify risk factors for PASC. Data were subjected to non-negative matrix factorization to identify symptom clusters, and a predictive model of PASC was developed. PASC prevalence was 11% (277/2,153), and of these patients, 66% (183/277) were considered asymptomatic at days 0–30. Five PASC symptom clusters emerged and specific symptoms at days 0–30 were associated with PASC. Women were more likely than men to develop PASC, with all age groups and ethnicities represented. PASC is a public health priority.