Long COVID: Rapid Evidence Review

Postacute sequelae of COVID-19, also known as long COVID, affects approximately 10% to 30% of the hundreds of millions of people who have had acute COVID-19. The Centers for Disease Control and Prevention defines long COVID as the presence of new, returning, or ongoing symptoms associated with acute COVID-19 that persist beyond 28 days. The diagnosis of long COVID can be based on a previous clinical diagnosis of COVID-19 and does not require a prior positive polymerase chain reaction or antigen test result to confirm infection. Patients with long COVID report a broad range of symptoms, including abdominal pain, anosmia, chest pain, cognitive impairment (brain fog), dizziness, dyspnea, fatigue, headache, insomnia, mood changes, palpitations, paresthesias, and postexertional malaise. The presentation is variable, and symptoms can fluctuate or persist and relapse and remit. The diagnostic approach is to differentiate long COVID from acute sequelae of COVID-19, previous comorbidities, unmasking of preexisting health conditions, reinfections, new acute concerns, and complications of prolonged illness, hospitalization, or isolation. Many presenting symptoms of long COVID are commonly seen in a primary care practice, and management can be improved by using established treatment paradigms and supportive care. Although several medications have been suggested for the treatment of fatigue related to long COVID, the evidence for their use is currently lacking. Holistic treatment strategies for long COVID include discussion of pacing and energy conservation;individualized, symptom-guided, phased return to activity programs;maintaining adequate hydration and a healthy diet;and treatment of underlying medical conditions.Copyright © 2022 American Academy of Family Physicians.

Using Extracorporeal Membrane Oxygenation for COVID-Positive Urgent Tracheostomy

Introduction: Extracorporeal membrane oxygenation (ECMO) can be used during difficult airway surgery because it provides an unobstructed operative field while ensuring adequate oxygenation without need for ventilation. We present a case of utilizing ECMO to perform urgent tracheostomy on a COVIDpositive patient with a large oropharyngeal mass causing critical airway narrowing. Method(s): A 62-year-old man presented with 6 months of worsening dyspnea. Computed tomography imaging and flexible laryngoscopy showed a large oropharyngeal mass extending into the nasopharynx and larynx causing critical airway narrowing and severely distorted upper airway anatomy. Traditional methods to secure the airway including transnasal vs transoral intubation vs awake tracheostomy were considered inadequate due to tumor location/friability, trismus, inability to lie flat, and unclear tracheal landmarks on palpation. In addition, on the day of surgery, the patient tested positive for COVID. We decided ECMO was the safest method to safely perform tracheostomy while minimizing COVID aerosolization. Result(s): The thoracic surgery team proceeded with bifemoral cannulation, and ECMO was initiated in less than 30 minutes. Standard tracheostomy was performed, and biopsies of the oropharyngeal mass were obtained. The patient was weaned off ECMO after <1 hour and awakened without any issues. There were no complications from bi-femoral venous access. Conclusion(s): Multiple methods to secure this patient's difficult airway were considered. Fiber-optic nasal intubation would require navigating the bronchoscope around the large tumor partially obstructing the nasopharynx and larynx. Awake tracheostomy was considered risky due to his large neck circumference, significant coughing episodes, and inability to lay supine. Both of these options would also be associated with high levels of COVID aerosolization. The use of ECMO allowed for apneic tracheostomy while minimizing the risk of COVID infection to all operating room personnel. In the era of COVID, ECMO is an unconventional but powerful tool that should be added to the armamentarium of highrisk airway surgery.

Neck Circumference Predicts Mortality in Hospitalized COVID-19 Patients.

We aimed to determine whether neck circumference predicts mortality among hospitalized COVID-19 patients with respiratory failure. We performed a prospective multicenter (Italy and Brasil) study carried out from March to December 2020 on 440 hospitalized COVID-19 patients with respiratory failure. Baseline neck circumference was measured. The study outcome was 30- and 60-days mortality. Female and male participants were classified as "large neck" when exceeding fourth-quartile. Patients had a median age of 65 years (IQR 54-76), 68% were male. One-quarter of patients presented with grade-1 or higher obesity. The median neck circumference was 40 cm (IQR 38-43): 38 cm (IQR 36-40) for female and 41 cm (IQR 39-44) for male subjects. "Large neck" patients had a significantly higher prevalence of hypertension (63 vs. 48%), diabetes (33 vs. 19%), obesity (26 vs. 14%), and elevated C-reactive protein (CRP) (98 vs. 88%). The cumulative mortality rate was 13.1% (n = 52) and 15.9% (n = 63) at 30 and 60 days, respectively. After adjusting for age, BMI, relevant comorbidities, and high C-reactive protein to albumin ratio, "large neck" patients showed a significantly increased risk of death at 30- (adjusted HR 2.50; 95% CI 1.18-5.29; p = 0.017) and 60-days (adjusted HR 2.26; 95% CI 1.14-4.46; p = 0.019). Neck circumference is easy to collect and provides additional prognostic information to BMI. Among hospitalized COVID-19 patients with respiratory failure, those with large neck phenotype had a more than double risk of death at 30 and 60 days.

Longitudinal association between adiposity measures and regression of prediabetes/diabetes.

BACKGROUND AND AIMS: The recent COVID-19 pandemic has further increased the importance of reducing obesity and prediabetes/diabetes. We aimed to evaluate the association between adiposity and regression of prediabetes/diabetes. METHODS AND RESULTS: The San Juan Overweight Adults Longitudinal Study (SOALS) included 1351 individuals with overweight/obesity, aged 40-65, free of major cardiovascular diseases and physician diagnosed diabetes. From the 1012 participants with baseline prediabetes/diabetes, 598 who completed the follow-up were included. Over the follow-up, 25% regressed from prediabetes to normoglycemia or from diabetes to prediabetes or normoglycemia. Poisson regression with robust standard error was used to estimate the relative risk (RR) adjusting for major confounders. Higher neck circumference (NC) was associated with regression of prediabetes/diabetes (RR = 0.45 comparing extreme tertiles; 95% CI:0.30-0.66); RR was 0.49 (95% CI:0.34-0.73) for waist circumference (WC) and 0.64 (95% CI:0.44-0.92) for BMI. Significant associations were found using median cut-offs or continuous measures for weight and BMI. Greater reduction in BMI (comparing extreme tertiles) was significantly associated with regression of prediabetes/diabetes (RR = 1.44; 95% CI:1.02-2.02). Continuous measures of change in adiposity (except for NC) were also associated with regression of prediabetes/diabetes for BMI and weight. Participants who reduced BMI (>5%) increased prediabetes/diabetes regression (RR = 1.61; 95% CI:1.15-2.25) compared to those who did not; similarly for weight (RR = 1.55; 95% CI: 1.10-2.19). Additional analysis for body fat percentage showing slightly weaker results than BMI/weight further supported our findings. CONCLUSION: Lower baseline adiposity and higher reduction in adiposity were associated with regression of prediabetes/diabetes among individuals with overweight/obesity.

Neck circumference as reliable predictor of mechanical ventilation support in adult inpatients with COVID-19: A multicentric prospective evaluation.

AIMS: COVID-19 is especially severe for elderly subjects with cardiometabolic and respiratory comorbidities. Neck circumference (NC) has been shown to be strongly related to cardiometabolic and respiratory illnesses even after adjustment for body mass index (BMI). We performed a prospective study to investigate the potential of NC to predict the need for invasive mechanical ventilation (IMV) in adult COVID-19 inpatients. MATERIALS AND METHODS: We prospectively and consecutively enrolled COVID-19 adult patients admitted to dedicated medical wards of two Italian hospitals from 25 March to 7 April 2020. On admission, clinical, biochemical and anthropometric data, including BMI and NC were collected. As primary outcome measure, the maximum respiratory support received was evaluated. Follow-up time was 30 days from hospital admission. RESULTS: We enrolled 132 subjects (55.0-75.8 years, 32% female). During the study period, 26 (19.7%) patients underwent IMV. In multivariable logistic regression analyses, after adjusting for age, sex, diabetes, hypertension and COPD, NC resulted independently and significantly associated with IMV risk (adjusted OR 1.260-per 1 cm increase 95% CI:1.120-1.417; P < .001), with a stronger association in the subgroup with BMI ≤30 Kg/m2 (adjusted OR 1.526; 95% CI:1.243-1.874; P < .001). NC showed a good discrimination power in predicting patients requiring IMV (AUC 0.783; 95% CI:0.684-0.882; P < .001). In particular, NC > 40.5 cm (>37.5 for females and >42.5 for males) showed a higher and earlier IMV risk compared to subjects with lower NC (Log-rank test: P < .001). CONCLUSIONS: NC is an easy to measure parameter able to predict the need for IMV in adult COVID-19 inpatients.