Morris, Anjali

Menstrual irregularities and abnormal uterine bleeding have been increasingly reported following severe acute respiratory syndrome coronavirus 2 infection, likely due to viral-induced endocrine disruption and immune dysregulation. A woman in her late 30s, with previously regular menses, developed persistent abnormal uterine bleeding after recovering from coronavirus disease 2019. Lab work-up over the next 2 years demonstrated high follicle-stimulating hormone, low anti-Müllerian hormone, low estrogen, and borderline antinuclear antibody titers. A pelvic ultrasound showed low antral follicle count, and she had challenges with fertility preservation. The patient was suspected of having an exaggerated immune reaction to severe acute respiratory syndrome coronavirus 2 infection with her strong family history of autoimmune disease and borderline antinuclear antibody, which may have led to an autoimmune-induced premature ovarian insufficiency. This case highlights the need to recognize post-viral menstrual irregularities and endocrine dysfunction as a potential consequence of coronavirus disease 2019. Clinicians should consider postinfectious endocrine disturbances in patients with new-onset abnormal uterine bleeding or infertility and evaluate for immune-mediated mechanisms when appropriate. Further research is needed to elucidate the long-term impact of coronavirus disease 2019 on reproductive health.

Fibromyalgia (FM) affects 2% to 8% of the general population. FM patients often experience self-stigma and feel rejected by healthcare providers and families, resulting in isolation and distressing symptoms of pain, fatigue, and poor cognitive functioning, increasing the risk of depressive symptoms. Major Depressive Disorder (MDD) is the most common comorbidity in FM patients (Any depression: 43%; MDD: 32%). Genome-wide association studies (GWAS) have identified a common genetic risk loci for major depression and fibromyalgia. Given that even minor symptoms of depression worsen the outcomes of FM patients, clinicians are challenged to identify and manage depression in these patients. However, due to overlapping symptoms, limited screening, and contamination bias, MDD often goes undiagnosed and presents a critical challenge. Unrecognized and untreated MDD in FM patients can exacerbate fatigue, sleep disturbances, and pain, reduce physical functioning, and increase the risk of developing comorbid conditions, such as substance abuse and cardiovascular disease. These comorbidities are associated with a lower treatment response rate, a higher dropout rate, and a greater risk of relapse. Clinicians may effectively identify and treat MDD in FM patients with appropriate pharmacologic agents combined with aerobic exercise and cognitive-behavioral therapies for core FM symptoms, thus significantly reducing symptom severity for both MDD and FM. Such a comprehensive approach will result in a much-improved quality of life. MedLine content was searched via PubMed to identify eligible articles between 1995 and 2023 using search terms fibromyalgia, major depressive disorder, and treatment of depression in fibromyalgia, and the most current information is presented. In this primer for clinicians caring for FM patients, we describe clinically relevant pharmacologic and non-pharmacologic management approaches for treating MDD in FM patients.

Objectives: To assess the prevalence of sleep disturbance among patients evaluated at a clinic for patients afflicted with Post-acute sequelae of COVID-19 (PASC). Methods: Sleep disturbance was assessed with the Patient-Reported Outcomes Measurement Information System-Sleep Disturbance (PROMIS-SD) framework among adult patients of the PASC clinic. Results: Among 312 patients, the mean age was 46.2 years, and 70.2% were women. About 41.0% of patients had no sleep disturbance; sleep disturbance was mild to moderate in 51.3% and severe in 7.7%. PROMIS-SD score was negatively correlated with the time from the initial positive COVID-19 test to the initial consultation in the PASC clinic (Pearson r = −.094; r 2 = .0088). Conclusions: The PROMIS-Sleep Disturbance framework can serve as a tool to assess the burden of sleep disturbances in PASC patients.