Iftikhar, Salma

This is the case of a 67-year-old immunocompetent Hispanic male residing in Mexico who presented with acute right lower back and right lateral thigh pain. Initial imaging was unremarkable. He later developed painful vesicular lesions on the right foot and buttock. He was diagnosed with herpes zoster and initiated acyclovir and gabapentin. Ten days later, he developed foot drop, leg weakness, and urinary incontinence. Magnetic resonance imaging (MRI) showed enhancement of the cauda equina, and electrodiagnostic studies demonstrated right lumbar polyradiculopathy. The patient improved significantly with pain medications and physical therapy. After 8 months of physical therapy, he demonstrated significant clinical improvement. This case highlights the uncommon presentation of motor involvement in herpes zoster and emphasizes the role of imaging and electrophysiology in guiding diagnosis and management.

Acquired angioedema due to C1-inhibitor deficiency (AAE-C1INH) is a rare condition characterized by the localized swelling of the deeper skin layers and mucous membranes, especially the face, lips, tongue, throat, and gastrointestinal tract. AAE-C1INH is strongly associated with lymphoproliferative disorders, although it can also be linked to autoimmune conditions, solid tumors, infections, or even occur without an identifiable cause. We present the case of a 45-year-old female patient with complaints of recurrent abdominal pain, bloating, and joint swelling. Laboratory testing showed decreased C1q and C4 complement levels, and C1 esterase inhibitor levels, indicative of AAE-C1INH. Further work up confirmed a diagnosis of extranodal marginal zone lymphoma with involvement of the bone marrow and spleen. Treatment with rituximab led to resolution of angioedema symptoms and almost complete remission of underlying lymphoma. This case underscores the importance of evaluating an underlying lymphoproliferative disorder in AAE-C1INH. Therefore, the early participation of a multidisciplinary team including specialists in immunology, hematology, and oncology is necessary for appropriate management.

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.

Background Patients from various countries may have unique patterns of using complementary and alternative medicine (CAM) and unique reasons for using it. Objective Our objective was to assess the use of CAM among patients from the Gulf region attending the Executive and International Health Program of the Department of General Internal Medicine at Mayo Clinic in Rochester, Minnesota. Methods This cross-sectional survey was administered to all patients who were from the Gulf region and were undergoing outpatient evaluation in the Executive and International Health Program. After their initial medical evaluation by a physician, the patients were invited to anonymously complete the modified International Complementary and Alternative Medicine Questionnaire. Results The survey was completed by 69 patients (41 women, 27 men; mean age, 45.4 years). The most frequently seen providers for CAM treatments were physicians (71.0% of patients), spiritual healers (29.0%), and chiropractors (20.3%). CAM treatments most frequently received from a physician were massage therapy (51.0%), hijama (38.8%), spiritual healing (24.5%), and acupuncture or herbs (16.3%). The most frequently used dietary supplements were ginger (42.0%), bee products (30.4%), and garlic (27.5%). The most common self-help therapies were prayers for health (68.1%), meditation (15.9%), and relaxation techniques (11.6%). CAM therapy, including visits to CAM providers, was used by 92.8% of patients. CAM was mainly used to improve well-being and long-term health conditions rather than for acute illnesses. Conclusion The use of CAM was high among our patients from the Gulf region, and the CAM therapies used by this population differed from the ones used by US patients. Physicians providing care to patients from the Gulf region should be aware of how the use of CAM may affect the care needs of these patients.

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.