Nanda, S.

Background We previously reported on a pilot study to assess the incorporation of a novel wellness assessment device, the Preventiometer (iPEx5 GmbH, Greifswald, Germany), into an academic medical practice. The present follow-up study expands on those data and evaluates the acceptability of the assessment process in a larger sample population. Objective The aim of this study was to evaluate participant satisfaction with the Preventiometer wellness assessment. Methods A total of 60 healthy volunteers participated. Each participant underwent a comprehensive wellness assessment with the Preventiometer and received data from more than 30 diagnostic tests. A 32-question survey (with a numeric rating scale from 0 to 10) was used to rate the wellness assessment tests and participants’ impressions of the wellness assessment. Results Each assessment had a significantly higher rating than 7 ( P < .001), and the majority of participants agreed or strongly agreed that they were satisfied (98.3%), and they strongly agreed that they were engaged the entire time (93.2%), and liked the instant test results feature of the Preventiometer device (93.2%). Conclusion This study confirms findings from our previous pilot study regarding the feasibility of the Preventiometer as a wellness assessment tool. The study further demonstrated that 98% of participants were satisfied with the assessment and that all of them would recommend it to others.

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

Objective The purpose of this study was to determine self-reported knowledge, attitudes, prior experience, and perceived needs for the management of overweight and obese patients within a General Internal Medicine Practice. Patients and Methods An emailed cross-sectional survey was sent between June 20, 2019 and September 12, 2019 to 194 healthcare workers (93 primary care providers (PCPs) and 101 nurses) which focused on management of patients with weight issues. Results In total, 80 of the eligible 194 participants completed the survey (nurses = 42, PCPs = 38). Up to 87% were white, 74.7% female (74.7%). Most of the responders were either in the age group of 30’s (30%) or 50’s (30%). Among the responders, 48.8% reported some type of specialty training in weight management since their medical training with lectures being the most common form of training (36%). When asked about their interest in either weight management training or strategies to initiate weight conversations, 79% of the respondents reported an interest in education on weight management or strategies to initiate weight conversations, while 65.8% indicated they would be interested in both topics. Conclusion Our study suggests that healthcare workers have a self-reported need for further training in management of overweight and obese patients, irrespective of previous training in this area.

Objective To describe the process and outcome of creating a patient cohort in the early stages of the COVID-19 pandemic in order to better understand the process of and predict the outcomes of COVID-19. Patients and Methods A total of 1169 adults aged 18 years of age or older who tested positive in Mayo Clinic Rochester or the Mayo Clinic Midwest Health System between January 1 and May 23 of 2020. Results Patients were on average 43.9 years of age and 50.7% were female. Most patients were white (69.0%), and Blacks (23.4%) and Asians (5.8%) were also represented in larger numbers. Hispanics represented 16.3% of the sample. Just under half of patients were married (48.4%). Common comorbid conditions included: cardiovascular diseases (25.1%), dyslipidemia (16.0%), diabetes mellitus (11.2%), chronic obstructive pulmonary disease (6.6%), asthma (7.5%), and cancer (5.1%). All other comorbid conditions were less the 5% in prevalence. Data on 3 comorbidity indices are also available including the: DHHS multi-morbidity score, Charlson Comorbidity Index, and Mayo Clinic COVID-19 Risk Factor Score. Conclusion In addition to managing the ever raging pandemic and growing death rates, it is equally important that we develop adequate resources for the investigation and understanding of COVID-19-related predictors and outcomes.

AbstractBackgroundDespite malnutrition being associated with increased mortality and morbidity, there continues to be great difficulty in defining criteria and implementing widespread screening. Tools used to diagnose decreased fat‐free mass (FFM [sarcopenia]) should be easy to use, relatively inexpensive, and safe. Bioelectrical impedance analysis (BIA) has the potential to meet these criteria, but reliability across body mass index (BMI) classes is a concern.MethodsA total of 176 healthy ambulatory participants (aged 18–65 years) were recruited equally (n = 44) in 4 BMI categories: (1) 18.5–24.9, (2) 25.0–29.9, (3) 30–34.9, and (4) ≥35.0. Participants were fasting overnight and had S‐MFBIA (InBody 770) measurements the next morning, with DXA being performed subsequently within 30 minutes.ResultsThe measurement (mean ± SD) for FFM with DXA was 52.8 ± 11.0, and BIA was 53.6 ± 11.0. Delta (S‐MFBIA vs DXA) was 0.8 ± 2.2 (5% limits of agreement −3.5 to +5.2), and concordance correlation coefficient (CCC) was 0.98 (95% CI, 0.97–0.98). The measurements (mean ± SD) for PBF with DXA was 37.5 ± 10.6% and S‐MFBIA was 36.6 ± 11.3%. Delta (S‐MFBIA vs DXA) was −0.9 ± 2.6 (5% limits of agreement 6.0 to +4.2), and CCC was 0.97 (95% CI, 0.96–0.98). The CCC according to the 4 BMI groups for FFM and PBF was between 0.96–0.98 and 0.90–0.94, respectively.ConclusionsFFM and PBF measured by S‐MFBIA had good agreement with DXA across all BMI categories measured in the current study of ambulatory participants.

Abstract Introduction: Low or borderline cortisol concentrations and impaired response to dynamic testing have been reported in patients with fibromyalgia, potentially related to hypothalamus-pituitary dysfunction.1,2 Superimposed adrenal insufficiency (AI) may contribute to some fibromyalgia symptoms or delay improvement in patients enrolled in fibromyalgia treatment programs. We hypothesized that a subset of patients with fibromyalgia have: 1) partial secondary AI and concomitant growth hormone (GH) deficiency 2) a discordance in Cosyntropin stimulation test and 3) improvement in fibromyalgia symptoms with initiation of glucocorticoid and/or GH replacement. Design: This was a retrospective study of patients with fibromyalgia diagnosed with partial secondary AI based on abnormal insulin tolerance test (peak cortisol &lt; 18 mcg/dL) at our institution from June 2002 to August 2019. Patients were excluded if they had other reasons for adrenal insufficiency, including steroid exposure and opioid use. Results: We identified 22 patients (18 women, 82%) diagnosed with partial AI at a median age of 38 years (range 19-65). The fibromyalgia symptoms included fatigue (n=22, 100%), pain (n=22, 100%), sleep disturbance (n=15, 68%), and bowel changes (n=13, 59%). The median morning cortisol concentration was 8.6 mcg/dL (range 1.1-11); 9 patients (41%) had a morning cortisol concentration below the normal range (7 mcg/dL). The median ACTH level was 15.5 pg/mL (range 7.7-54). Nineteen patients had baseline IGF1 levels, with a median z-score of -0.94 (range -1.96 to 1.70). MRI pituitary imaging was performed in 20 patients and showed no significant pituitary pathology. All patients achieved hypoglycemia &lt;=40 mg/dL during the insulin tolerance test. Peak median cortisol level was 11 mcg/dL (range 5.4-17). Nineteen patients (86%) also had partial GH deficiency (defined as a peak GH &lt; 4 ng/mL) with a median GH level of 0.36 ng/mL (range 0.03-3.83). Cosyntropin stimulation test was performed in 13 patients (59%) with a 1 mcg dose in 2 patients and 250 mcg dose in 11 patients. The peak cortisol was &gt;=18 mcg/dL in 10 (77%) patients. All patients were started on physiologic glucocorticoid replacement, and 12 patients were started on GH replacement. Endocrinology follow-up information was available for 13 patients, and 8 (62%) reported symptom improvement after starting treatment. Conclusions: Patients with fibromyalgia can have co-existing partial secondary AI and GH deficiency as defined by insulin-induced hypoglycemia. Cosyntropin stimulation test can be used in patients with fibromyalgia, but a normal test does not rule out partial secondary AI. Replacing the underlying deficiency improved symptoms in some patients demonstrating certain fibromyalgia symptoms may overlap with AI and GH deficiency. 1Gur et al. Ann Rheum Dis. 2004. 63(11):1504-1506. 2Kirnap et al. Clin Endocrinol (Oxf). 2001. 55(4):455-459.

Background Periodic wellness assessments can provide an estimate of a person’s relative risks for major diseases, but wellness visits are underused. Our suggestion is to use a comprehensive device during a single visit. Objective The goal of this pilot study was to evaluate the feasibility of a novel one-stop wellness device (Preventiometer; iPEx5 GmbH, Greifswald, Germany) for performing multiple tests and providing a comprehensive wellness assessment in a short period. Methods A Preventiometer was used to provide wellness assessments for 10 healthy volunteers who then answered a 25-question survey to rate their satisfaction with the testing and their overall impression. Results All volunteers agreed or strongly agreed with the following: The assessment reports were easy to understand, the Preventiometer met their satisfaction, the participants were comfortable during the assessment, and all measurements and testing were well coordinated. Participants liked the instant test result feature. Most (90%) agreed that the machine was useful for a quick health assessment for busy people, and 70% felt that it was time efficient. Conclusion In this feasibility pilot study, the Preventiometer performed multiple tasks and provided a comprehensive wellness assessment in a short period. Participants reported remarkably high satisfaction with the tests. A larger study is needed to prove that this is a pragmatic approach to help individuals improve their health.