Correlation of Psychological Factors, Obesity, Serum Cortisol, and C-Reactive Protein in Patients with Fibromyalgia Diagnosed with Obstructive Sleep Apnea and Other Comorbidities.

BACKGROUND: Fibromyalgia (FM) is a chronic pain disorder and is associated with disability, and high levels of pain and suffering. FM is known to co-occur with obesity and obstructive sleep apnea (OSA). Individuals with FM often experience symptoms of pain, depression and anxiety, sleep disturbances, and fatigue. These symptoms may be exacerbated by OSA and contribute to the symptoms' severity in FM. Obesity is a common comorbidity in OSA patients, and as FM and OSA are related in some patients, obesity also may contribute to FM symptom severity. For healthcare providers to effectively manage FM patients, a better understanding of the co-occurrence between these FM comorbidities and psychological factors is needed. METHODS: This study was approved by IRB and conducted using a retrospective EPIC chart review. To identify FM, the following ICD-9 codes were used: (729.1) and ICD-10 (M79.7) codes. To identify patients with OSA, the following ICD-9 codes were used: (327.23) and ICD-10 (G47.33). Body Mass Index (BMI), the total number of medical diagnoses, and psychiatric conditions were documented for each patient. The prevalence of psychiatric conditions including depression and anxiety was compared between patients with and without obesity (BMI > 30), and patients with fewer than 25 medical diagnoses and those with 25 or more diagnoses. A chart review was conducted to identify patients with fibromyalgia with prior serum cortisol testing within the last ten years. Cortisol levels were compared and patients were divided into six groups: 1. FM without identified psychiatric conditions; 2. FM with psychiatric diagnosis of adjustment disorders and insomnia; 3. FM with psychiatric diagnosis of depressive disorders; 4. FM with psychiatric diagnosis of bipolar disorders; 5. FM with psychiatric diagnosis of mixed anxiety and depression; 6. FM with psychiatric diagnosis of anxiety disorders. Available C-reactive protein (CRP) values were gathered. RESULTS: The total FM and OSA population was N = 331. The mean age of the patient population was 63.49 years old, with 297 being female. The diagnoses mean was 31.79 ± 17.25 and the mean total psychiatric diagnoses was 2.80 ± 1.66. The mean BMI was 36.69 ± 8.86, with obesity present in 77.95% of the patients. A total of 66.99% of patients had comorbid anxiety and depression with 25 or more medical problems vs. 33.01% of patients who had fewer than 25 medical problems (odds ratio = 1.50). Patients with a BMI < 30 (N = 71) had rates of anxiety and depression at 64.79% and a mean total of 2.79 ± 1.66 psychiatric diagnoses, whereas patients with a BMI > 30 (N = 258) had rates of anxiety and depression at 61.63% (odds ratio = 1.28) and a mean total of 2.80 ± 1.66 psychiatric diagnoses. The most common other psychiatric conditions among FM/OSA patients included hypersomnia and substance use disorders. Cortisol data: Available cortisol results: FM n = 64, female: 59, male: 5, mean age: 63, average BMI: 38.8. The averages for serum cortisol alone for groups 1-6, respectively, are 9.06, 5.49, 13.00, 14.17, 12.25, and 16.03 µg/dL. These results indicate a relatively upward cortisol serum value by the addition of several psychiatric conditions, with the most notable being anxiety for patients with FM. CRP values were available for 53 patients with an average CRP of 4.14. DISCUSSION: Higher rates of anxiety and depression were present in FM patients with 25 or more diagnoses. The odds ratios indicate that a patient with 25 or more medical problems was 1.5 times more likely to have anxiety and depression than those with fewer diagnoses. Additionally, those with a BMI > 30 were 1.3 times more likely to have anxiety and depression than those with a normal BMI. CONCLUSION: addressing psychological factors in FM and OSA is important as high healthcare utilization is common in patients with FM and OSA.

A Mixed-Methods Assessment of Coronavirus Disease of 2019-Era Telehealth Acute Care Visits in the Medical Home.

OBJECTIVES: To compare acute care virtual visits with in-person visits with respect to equity of access, markers of quality and safety, and parent and provider experience, before and during the coronavirus disease 2019 pandemic. STUDY DESIGN: We compared patient demographics, antimicrobial prescribing rates, emergency department (ED) use, and patient-experience scores for virtual visits and in-person care at 2 academic pediatric primary care practices using χ2 testing and interrupted time series analyses. Parent and provider focus groups explored themes related to virtual visit experience and acceptability. RESULTS: We compared virtual acute care visits conducted in March 2020-February 2021 (n = 8868) with in-person acute care visits conducted in February 2019-March 2020 (n = 24 120) and March 2020-February 2021 (n = 6054). There were small differences in patient race/ethnicity across the different cohorts (P < .01). Virtual visits were associated with a 9.6% (-11.5%, -7.8%, P < .001) decrease in all antibiotic prescribing and a 13.2% (-22.1%, -4.4%, P < .01) decrease in antibiotic prescribing for acute respiratory tract infections. Unanticipated visits to the ED did not significantly differ among visit types. Patient experience scores were significantly greater (P < .05) for virtual acute care in overall rating of care and likelihood to recommend. Focus group themes included safety, distractibility, convenience, treatment, and technology. Providers were broadly accepting of virtual care while parental views were more mixed. CONCLUSIONS: Telehealth acute care visits may not have negative effects on quality and safety, as measured by antimicrobial prescribing and unanticipated ED visit rates. Efforts to increase parental acceptance and avoid creating disparities in access to virtual care will be essential to continued success of telehealth acute care visits.