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Background Objective Methods Results Conclusions Physical activity used in rehabilitation can trigger post-exertional malaise (PEM) in people with Long COVID. Concerns remain if the STOP-REST-PACE approach promoted by patient communities and professional organizations can be safely administered and contributes to return to usual activities.(1) To observe PEM over 12 weeks of telerehabilitation based on the STOP-REST-PACE approach. (2) To describe the changes in health-related quality of life (HRQoL), respiratory symptoms, fatigue and return to work.This was an observational prospective cohort of participants with Long COVID referred to a telerehabilitation service. Participants received up to 14 h of physiotherapy and occupational therapy over 12 weeks based on the STOP-REST-PACE approach. Frequency was personalized, up to two sessions weekly. An independent coordinator assessed PEM, HRQoL, respiratory symptoms, fatigue and return to work.Thirty-four participants were included and 30 completed the 12 weeks of telerehabilitation. Participants had an average of eight impairments. We found PEM in all participants at baseline. After 12 weeks, PEM remained present for 19 out of 30 participants. Respiratory symptoms significantly improved (COPD Assessment Test: 19.2 ± 7.3 vs 13.8 ± 7.7, p < .001). Fatigue and HRQoL did not significantly improve (p = 0.32 and p = 0.20, respectively). Only four participants were able to work full time.PEM persisted for close to two-third of participants despite learning the STOP-REST-PACE approach through physical and occupational therapy sessions over 12 weeks. Respiratory symptoms improved, but we did not observe a difference in fatigue and HRQoL. Return to work was out of reach for most participants. [ FROM AUTHOR] Copyright of Fatigue: Biomedicine, Health & Behavior is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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During the pandemic COVID-19, there has been an increase in the number of patients with non-anginal chest pain at cardiologist appointments. Objective. To assess the incidence of signs of pleurisy and pericarditis after COVID-19 in non-comorbid patients with atypical chest pain and describe their characteristics according to echocardiography and magnetic resonance imaging. Materials and methods. From February 2021 to January 2022, 200 outpatients were prospectively enrolled in the study, all of them suffered from a discomfort in the heart region for the first time after SARS-CoV-2 infection. Inclusion criteria: 18-50 years old, 5-12 weeks after SARS-CoV-2 infection, non-anginal chest pain. Exclusion criteria: pneumonia or signs of pulmonary thromboembolism, coronary heart disease, congestive heart failure or kidney disease, clinical or laboratory signs of myocarditis, oncopathology, radiation or chemotherapy of the chest in past medical history. A survey was conducted (yes/no) for the presence of general malaise, quality of life deterioration, hyperthermia, cough. Ultrasound examination of the pericardium and pleura to detect effusion or post-inflammatory changes was performed in accordance with the recommendations. Magnetic resonance imaging was performed if ultrasound imaging was poor or there was no evidence of pericardial or pleural involvement in patients with typical symptoms. Results. 82 women and 118 men were included. Median of age 39 [28-46] years old. Pericarditis was diagnosed in 152 (76%) patients, including effusive pericarditis in 119 (78%), myocarditis in 6 (3%) and myopericarditis in 49 (25%) patients, pleurisy was detected in 22 (11%) patients, exudative pleurisy - in 11 (5.5%) patients with a predominant unilateral lesion of the mediastinal-diaphragmatic region adjacent to the heart. Hyperthermia was recorded in 2.5% of cases, general malaise - in 60% and a decrease in the quality of life - in 84%. Conclusion. Serositis as a cause of atypical chest pain among young non-comorbid patients in early postCOVID was identified in 87% of patients. In the coming years, it is probably worthwhile to perform ultrasound of the pericardium and pleura in all patients with chest pain.Copyright © 2022 Infectious Diseases: News, Opinions, Training.
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The pathophysiology of long-COVID sequelae in the general population of SARS-CoV-2-infected patients has been shown to be strongly influenced by oxidative stress. However, the potential role of oxidative stress in the development of long-COVID sequelae in hemodialysis patients (HD) has never been investigated. The present study aimed to evaluate the oxidative status of HD patients 3.5 months after SARS-CoV-2 infection in relation to the presence of long-COVID sequelae and the severity of the acute phase COVID-19. Methods. This cross-sectional cohort study included 63 HD patients with a median age of 55 (43-62.5) years and a dialysis vintage of 42 (25-73) months who had been infected with COVID-19 at least 3 months before recruitment. Patients were divided into two groups according to the occurrence of long-COVID sequelae: Group 1 included 31 (49.2%) HD patients with sequelae, while Group 2 included 32 (50.8%) fully recovered individuals. At 3.5 (3.2-4.6) months after the acute phase of COVID-19, malondialdehyde (MDA) and erythrocyte levels (MDAe), sulfhydryl groups (SH -groups), serum catalase activity, transferrin, and ceruloplasmin were measured. A comparison of the obtained data was performed using the Student's test or the Mann-Whitney test according to the data distribution. A correlation was evaluated with the Spearman test. Results. HD patients with persistent long-COVID sequelae had significantly higher concentrations of MDAs (p = 0.002), MDAe (p = 0.0006), and CTs (p = 0.02), and lower serum levels of SH-groups (p = 0.03) and ceruloplasmin (p = 0.03) compared with Group 2. The concentration of most studied indicators of pro- and antioxidant status did not depend on the severity of the acute phase COVID-19, and only catalase activity was statistically significantly related to the need for hospitalization (r = 0.59;p = 0.001), oxygen support (r = 0.44;p = 0.02), and the percentage of lung injury according to computed tomography (p = 0.03). Although the serum concentration of transferrin did not differ between the studied groups, the individual analysis showed that its value was statistically higher in HD patients with severe COVID-19 even 3.5 months after infection (p < 0.0001). Conclusions. Long-term COVID-19 sequelae in HD patients are associated with oxidative stress. High levels of catalase activity and serum transferrin 3.5 months after COVID-19 may be a consequence of the severe course of the acute phase of the disease. The obtained data suggest that the use of antioxidants may be one of the possible strategies to treat the long-term consequences of COVID in HD patients. © N. Stepanova, L. Korol, L. Snisar, A. Rysyev, T. Ostapenko,V. Marchenko, O. Belousova, O. Popova, N. Malashevska, M. Kolesnyk, 2023. All rights reserved.
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The number of people with long-term consequences of COVID-19 is increasing worldwide. The long-term prognosis for patients remains poorly understood. Objective. To study cardiometabolic and psychocognitive features in comorbid elderly patients with atrial fibrillation (AF), de-pending on the presence of post-COVID syndrome (PCS). Material and methods. The observational analytical cohort study included 223 patients with AF and comorbidity (coronary artery disease, hypertension, obesity, type 2 diabetes mellitus) aged 60-74, who were divided into two groups: group 1 included 123 patients without COVID-19 and group 2 included 110 patients with a history of COVID-19 and the presence of PCS. The study evaluated laboratory and instrumental tests, and a general clinical study assessing psychocognitive disorders using the SPMSQ and HADS questionnaires was conducted. Results and discussion. In COVID-19 survivors, compared with patients of group 1, there were more pronounced atherogenic changes in total cholesterol (TC) (p=0.003), low-density lipoprotein cholesterol (p<0.001), and triglycerides (p=0.011). Lower dia-stolic blood pressure was found in COVID-19 survivors (p<0.001). In addition, patients in group 2 had higher median pulse pressure (p<0.001) and heart rate (p<0.001). In group 2 patients, a larger ascending aorta diameter was observed (p<0.001). The anx-iety-depressive syndrome was more common in COVID-19 survivors with comorbidities, and a statistically significant difference was found in clinical anxiety (24%, p=0.041) and subclinical depression (21%, p=0.015). When assessing cognitive function, mod-erate cognitive impairment was detected in 22% (p=0.005) of patients with PCS and severe cognitive impairment in 2% (p=0.007). Conclusion. In comorbid elderly patients with the post-COVID syndrome, a high prevalence of psychocognitive disorders and adverse cardiometabolic changes were observed, supporting the need for long-term monitoring of the general clinical condition and psychocognitive status of COVID-19 survivors.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.
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Objectives: Post COVID-19 conditions or long COVID continues to burden the healthcare system. With the introduction of new code in October 2021 to appropriately capture this condition (U09.9), we have enough data to understand the detailed demographic and clinical characterization of the patients with long COVID. As this new clinical entity continues to evolve, our study will provide insights for care management and planning. Method(s): We conducted a retrospective cohort study from a large deidentified database of US health insurance claims. The study population included all individuals with at least one ICD-10 code for COVID (U07.1) between June 1, 2021, and November 30, 2022. Individuals with at least one ICD-10 code for long COVID (U09.9), at least 7 days after COVID diagnosis were termed "Long COVID" patients. Index date was defined as the first long COVID diagnosis date. We also assessed the most prevalent diagnosis codes within the 30 days pre- and post-index to understand top symptoms. Result(s): A cohort of 253,145 patients (62% female patients;38% male patients) were identified. Among this cohort, 3.2% were pediatric patients aged 0 - 17 years;73.3 % aged 18 - 64 years and 23.5 % aged 65+ years. Most prevalent symptoms that increased in the 30 day pre- and post-index: Nervous system symptoms (6 fold), fatigue (7 fold), Dyspnea (4.3 fold), esophagitis (1.6 fold) chronic kidney disease (1.3 fold) among others. Conclusion(s): Our findings indicate that long COVID is more prevalent in females, with fatigue and dyspnea emerging as top symptoms. These findings are consistent with the published literature. However, we uncovered additional symptoms such as nervous system symptoms, chronic kidney disease among others. Additional analysis is planned to evaluate the association of these symptoms with sociodemographic features to understand the health inequity aspects of long COVID.Copyright © 2023
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Cognitive impairment is a prominent symptom of the post-COVID syndrome (PCS). However, the correspondence between subjective cognitive complaints (SCC) and objective results is inconsistent. Here, we investigated this discrepancy. This longitudinal study included N = 42 individuals who reported SCC as PCS after mild infection at inclusion. Data collection comprised questionnaires and neuropsychological assessment at baseline and follow-up (FU). At FU - on average 15 months after acute COVID-19 - 88 % of patients reported persisting SCC. There was an approx. 40 % discrepancy between subjective report and test results at both visits. Patients with SCC and objective impairment indicated elevated fatigue and reduced quality of life compared to patients without SCC at FU. A growing number of patients is anticipated to request neuropsychological assessments even after mild infections.
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Objectives: This study aimed to estimate the direct medical costs of patients with post COVID-19 condition in a Colombian insurance company with more than 2.5 million affiliates. Method(s): We conducted a bottom-up cost-of-illness study of adults with persistent symptoms after at least three months of hospital discharge due to COVID-19. We surveyed patients that were hospitalized between March 2020 and August 2021. We asked about healthcare resource utilization (HCRU), which included laboratories and images, medications, consults, rehospitalizations, and others, associated with post COVID-19 condition. The answers were verified using the company's outpatient and inpatient service authorization records. Costs were estimated from the third payer perspective and expressed in American dollars using an exchange rate of 1USD$=3,743COP. Result(s): We included 202 participants, 51.5% were male, mean age of 55.6 years old, 49% had a comorbidity (41.9% hypertension), and 46 patients (22.8%) required an intensive care unit. A total of 159 (78.7%) patients reported at least one symptom after discharge. Of these, 132 (65.3%) persisted with at least one symptom during the telephone survey. Seventy-five (47.2%) of the 159 patients with persistent symptoms reported HCRU. Of these, 93.3% consulted a physician (mean consultations: 2.1 SD 1.1;mean consultations with specialists: 2.4 SD 2.0), and 9.3% were re-hospitalized. The average direct medical costs of post COVID-19 condition were US$824 (95%CI 195-1,454). Costs in outpatient were US$373 (95%CI 158-588), and in inpatient, US$3,285 (95%CI -167-6,738). Conclusion(s): It is crucial to follow up and identify patients discharged from the hospital who persist with symptoms after three months since we observed a greater HCRU, including prolonged recovery therapiesCopyright © 2023
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BACKGROUND/AIMS: In this study, we aimed to make detailed neurocognitive assessments of patients who presented with brain fog after coronavirus disease-2019 (COVID-19) infection and to investigate their complaints after one-year of follow-up. MATERIALS AND METHODS: Patients who had COVID-19, which was not severe enough to require intensive care, and who subsequently applied to neurology due to cognitive complaints were included in this study. A neurocognitive test battery was applied to those patients who agreed to detailed examination (n=16). This battery consisted of the following tests: mini-mental test, enhanced cued recall test, phonemic fluency, categorical fluency, digit span, counting the months backwards, clock-drawing, arithmetic operations, trail-making, cube copying, intersecting pentagons, and the interpretation of proverbs and similes. At one year, the patients were called by phone and questioned as to whether their cognitive complaints had persisted. Those patients with ongoing complaints were invited to the hospital and re-evaluated via cognitive tests. The results are presented in comparison with age-matched healthy controls (n=15). RESULTS: Almost all of the patients' scores were within the "normal" range. The Spontaneous recall of the patients was statistically significantly lower than the controls (p=0.03). Although there were decreases in executive functions and central processing speed (trail making-A, trail making-B and reciting the months backwards tests) in the patient group, these differences were not statistically significant (p=0.07;p=0.14 and p=0.22, respectively) compared to the controls. We observed that the cognitive complaints of the patients had disappeared by the one-year follow-up. CONCLUSION: In our patients with brain fog, most of whom had mild COVID-19, we observed that among all cognitive functions, memory domain was most affected compared to the controls. At the one-year follow-up, COVID-related brain fog had disappeared.
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The aim of the research. To study the features of cardiovascular system disorders in post-covid syndrome (PCS) in children and adolescents after a mild form of coronavirus infection (COVID-19). Material and methods. From 260 children and adolescents after a mild form of COVID-19, a total of 30 patients aged 7-17 years with cardiac manifestations of PCS were selected. Therewith, 32 patients with an uncomplicated form of the disease were selected to form a comparison group. In 3 and 6 months after disease onset, a comprehensive examination of patients was performed with a questionnaire on the subjective scale for MFI-20 assessment asthenia (Multidimensional Fatigue Inventory-20), electrocardiography (ECG), echocardiography;daily monitoring of ECG and blood pressure. The biochemical blood test included assay of creatine phosphokinase-MB (CPK-MB), troponin I and lactate dehydrogenase (LDH). Results. The incidence of PCS with cardiac manifestations amounted to 11.5 %. After 3 months from the disease onset, complaints of pain and discomfort in the chest, palpitations, fatigue, and poor exercise tolerance persisted. Asthenic syndrome was diagnosed in 70 % of patients. The "general asthenia" indicator totalled14 [12;16] points (p<0.001) and was associated with the age of patients (r=+0.5;p<0.05). Arrhythmic syndrome and conduction disorders were detected in 67% of children. Labile arterial hypertension and hypotension occurred in 23 % of the adolescents. The increase in CPK-MB remained in 17% of the children, LDH - in 10%. In the sixth month after the onset of the disease, there were no significant differences in the results of the examination in the observation groups. However, a decrease in the level of resistance within 6 months was recorded in 43.3% of the schoolchildren with PCS (p<0.001). Conclusion. The data obtained indicate the need for early verification of cardiopathies in children with COVID-19, determination of a set of therapeutic and rehabilitation measures as well as ECG monitoring.Copyright © 2022, Krasnoyarsk State Medical University. All rights reserved.
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The novel coronavirus SARS-CoV-2 is associated with a significant incidence of neuropsychiatric disorders, which tend to have a long course in the post-COVID period. Objective(s): to study post-COVID mental disorders in clinical psychiatric practice. Patients and methods. 30 patients aged 37.75+/-14.07 years with anamnesis of SARS-CoV-2 infection were examined. Clinical scale assessment was carried out using the Hamilton Depression and Anxiety Scale. The Symptom-Checklist (SCL-90-R) was used to assess the psychopathological status of the patient. Patients' cognitive functioning was assessed using the Mini-Cog Cognitive Assessment Questionnaire. Patients' sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Results and discussion. Mental disorders associated with a previous coronavirus infection are observed in a wide time range from less than 1 month to a year after the previous disease, and in no case did the coronavirus infection have a severe course. Sleep disorders, anxiety and depressive disorders, which did not exceed a moderate degree of severity, and asthenia dominated in the structure of the post-COVID syndrome. The level of mental distress in patients with post-COVID syndrome increased 2 times. Post-COVID mental disorders are interrelated with female gender, age, and psychotraumatic factors associated with the pandemic. Cognitive impairment mediated by mental disorders was observed in approximately 60% of patients and did not reach the degree of dementia. Conclusion. The clinical picture of the post-COVID syndrome is represented by a wide range of mental disorders, the development of which involves not only biological, but also psychosocial factors associated with the COVID-19 pandemic, which determines the specifics of diagnostic approaches and the feasibility of complex treatment of the post-COVID syndrome.Copyright © 2022 Ima-Press Publishing House. All rights reserved.
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The pandemic caused by COVID-19 has led to radical lifestyle changes worldwide, particularly in the Republic of Bulgaria, and was a factor for global changes in economics, politics, healthcare and daily life. Aim(s): The aim of the study was to analyze the public attitudes, awareness and fears related to the COVID-19 disease in the Republic of Bulgaria. Material(s) and Method(s): The survey was conducted between August 1st, 2022 and September 1st, 2022 via an anonymous questionnaire consisting of 24 closed questions. A total of 1861 people, aged 18-69 years and older, took part in the survey after being selected randomly. The data were statistically processed via MS Excel. Result(s): The main source of information to the respondents on issues related to COVID-19 was the Internet (29,8%), followed by TV (26%) and the specialized website (Single information portal) - 15,9%. More than one-third (35,1%) of the respondents was afraid of getting infected and an equal share of participants reported that they have been infected with COVID-19. More than half of the respondents (52,5%) adhered to all the provisions of the governmental bodies related to limiting the COVID-19 pandemic. The most frequent symptom of post- COVID-19 syndrome was being easily fatigued (26,7%), followed by shortness of breath (13,4%) and persistent cough (11,6%). Conclusion(s): The survey could be useful in understanding what were the public attitudes, awareness and fears related to the COVID-19 disease in the Republic of Bulgaria during the pandemic.Copyright © 2023 D. Penchev et al., published by Sciendo.
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Objectives: Many patients with long COVID experience at least one vision problem. This study determines the association of long COVID with seeing difficulties. Method(s): We conducted a cross-sectional analysis with the Census Household Pulse Survey data (N = 51,288). We excluded adults who reported contracting COVID within the past four weeks, those with missing data on seeing difficulty when infected with COVID, and long COVID. Long COVID was defined as having symptoms lasting three months or longer that the adults did not have prior to having COVID. Adults self-reporting to a question on seeing with "some difficulty," "a lot of difficulty," or "unable to do" were classified as having "seeing difficulties." We conducted Chi-square tests and logistic regressions with replicate weights. Logistic regressions adjusted for long COVID, sex, age, race and ethnicity, marital status, income, education, food sufficiency, health insurance, remote work, vaccine doses, region, depression, and anxiety. Result(s): During the survey period (November 2 - November 14, 2022), 37.3% reported seeing difficulties, and 14.4% reported long COVID. A higher percentage of adults with long COVID reported seeing difficulties than those without long COVID (47.6% vs. 31.9%). In the fully adjusted logistic regression model, compared to adults with no COVID or without long COVID, those with long COVID had greater odds of seeing difficulties (AOR = 1.50, 95%CI = 1.32, 1.70). We did not observe a statistically significant difference between adults without long COVID and no COVID (AOR = 1.01, 95%CI = 0.93, 1.10 p = 0.7888). Conclusion(s): One in eight adults had long COVID. Adults with long COVID had significantly higher odds of seeing difficulties than those without long COVID. Therefore, a follow-up of patients with long COVID needs to include screening for seeing difficulties. More research is needed on the links between long Covid and vision care.Copyright © 2023
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Objectives: Long-COVID, the persistence of various symptoms after COVID-19 infection, is still not fully understood. This study evaluated the incidence and chronicity of post-COVID-19 conditions using administrative claims, which provide a large, generalizable sample, to provide insight into the scope of long-COVID in the United States. Method(s): Patients newly diagnosed with COVID-19 from 4/1/2020-3/31/2021 were identified in the MerativeTM MarketScan Commercial and Medicare databases. The first COVID-19 diagnosis served as the index date and patients were continuously eligible for 12-months pre- and post-index. Incident conditions were defined as a new diagnosis (no pre-period diagnoses) for one of 17 conditions of interest in the first 60-days of the post-period. Among patients with an incident condition, chronicity of the condition was assessed over the remaining post-period (long-term conditions). Result(s): The sample included 503,742 patients;mean+/-SD age was 39.5+/-16.5 and 46% were male. The most common incident conditions were respiratory symptoms (24.1%), fatigue (7.3%), muscle pain (6.0%), and headache (5.9%). Among patients with each of these conditions, long-term persistence was observed in 21.9% for respiratory symptoms, 36.8% for muscle pain, 18.3% for fatigue, and 16.0% for headache. Fewer than 5% patients evidenced incident anxiety, mood disorders, myocarditis, sleep disorders, or pulmonary embolism;however, among these patients, over 40% had long-term persistence of the condition. Among patients with long-term conditions, sleep disorders (248+/-98 days), mood disorders (239+/-96 days), anxiety (236+/-95 days), respiratory symptoms (233+/-92 days), and asthma (230+/-93 days) had the longest average durations of persistence, evidenced by continued claims over the post-period. Conclusion(s): With the continued presence of COVID-19 an understanding of the risk of long-term symptoms is needed to help manage patients both during and following infection. These findings provide some initial insight into the incidence and tenure of various conditions that are affecting patients diagnosed with COVID-19.Copyright © 2023
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Background: "Long COVID" or "post-COVID conditions" describes prolonged symptoms after the acute phase of coronavirus disease 2019 (COVID-19). However, there is a paucity of published reports on its treatment. Method(s): This retrospective cohort study included adult, non-hospitalized patients with COVID-19 symptoms at least one month after the onset who had been examined at the isolation facility in Miyagi prefecture between October 2020 and September 2021. Result(s): In total, 70 patients with a median age of 46 (21-69) years were included, and 37 were women (52.9%). The median time from onset to the end of treatment was 46 (28-396) days. Thirty-eight patients (53.5%) showed improvement in all symptoms, while four (5.7%) did not recover within the study period. The symptoms at six months with high residual rates were dizziness (33.3%), fatigue (14.3%), myalgia (14.3%), abdominal discomfort (14.3%), and taste dysfunction (11.8%). For treatment of prolonged symptoms, formulae of Kampo medicine (Japanese traditional medicine) were used alone or in combination with Western medications in 76%, 66%, 53%, and 66% of patients at 1-2 months, 2-3 months, 3-6 months, and over 6 months respectively. Kampo formulae with anti-inflammatory effects were used in the early period;however, tonifying formulae and blood stasis-resolving formulae were used in the late period. Conclusion(s): Non-hospitalized patients with COVID-19 may suffer from persistent symptoms after the acute phase of infection. For the management of long COVID, a comprehensive and holistic approach is needed. Kampo medicine should be considered as a treatment option for long COVID.Copyright © 2023 The Authors. Traditional & Kampo Medicine published by John Wiley & Sons Australia, Ltd on behalf of Japan Society for Oriental Medicine and Japan Society of Medical and Pharmaceutical Sciences for Traditional Medicine.
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The article focuses on the need for standardized data collection, interpretation, and reporting in the management of Long COVID. Topics include the lack of a consistent definition for Long COVID, the benefits of adopting a data-driven framework for Long COVID management, and the challenges and strategies of data sharing in Long COVID research.
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Objectives: The symptoms of patients with post-acute COVID-19 syndrome are heterogenous, impact multiple systems, and are often non-specific. To better understand the symptomatic profile of this population, this study used real-world data and unsupervised machine learning techniques to identify distinct groupings of long COVID patients. Method(s): Children/adolescents (age 0-17) and adults (age 18-64 and >=65) with >=2 primary diagnoses for U09.9 "Post COVID-19 condition" from 10/01/2021 (ICD-10 code introduction) until 03/31/2022 were selected from Optum's de-identified Clinformatics Data Mart Database, with the first diagnosis deemed index. Included patients had >=1 diagnosis for COVID-19 at least 4 weeks before index and continuous enrollment during the 12 months prior to index. Diagnoses recorded +/-2 weeks from index that were not present prior to the initial COVID-19 diagnosis were captured and used as patient features for k-means clustering. Final cluster assignments were selected based on silhouette coefficient and clinical relevancy of groupings. Result(s): 3,587 patients met eligibility criteria, yielding three clusters. Concurrent symptom domains surrounding index included breathing, fatigue, pain, cognitive, and cardiovascular diagnoses. The first cluster (N=2,578, 71.8%) was characterized by patients with only a single symptom domain (33% breathing, 33% cardiovascular, 20% fatigue, 11% cognitive). The second cluster (N=651, 18.1%) all presented with breathing symptoms accompanied by one additional domain (cardiovascular 40%, fatigue 28%, pain 18%). The final cluster (N=358, 9.9%) experienced breathing symptoms accompanied by two additional domains (fatigue and cardiovascular 34%, cardiovascular and cognitive 34%). Cluster 3 was slightly older than clusters 1 or 2 (mean age 66 vs. 58 years, respectively). Conclusion(s): Unsupervised machine learning identified distinct groups of long COVID patients, which may help inform multidisciplinary care needs. Our analysis suggests that many patients with long COVID may experience symptoms from only a single domain, and multi-system illness may generally include breathing complications accompanied by fatigue and/or cardiovascular complications.Copyright © 2023
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Objectives: While persistent and relapsing symptoms of COVID-19 are increasingly documented, limited data exist on the post-acute population. The objective of this analysis is to identify the characteristics of patients diagnosed with long COVID using real-world data. Method(s): Children/adolescents (age 0-17) and adults (age 18-39, 40-64 and >=65) with >=2 primary diagnoses for U09.9 "Post COVID-19 condition" from 10/01/2021 (ICD-10 code introduction) until 03/31/2022 were selected from Optum's de-identified Clinformatics Data Mart Database, with the first diagnosis deemed index. Included patients had >=1 diagnosis for COVID-19 and continuous enrollment 12 months prior to index (baseline). To ensure alignment with most institutional definitions, >=4 weeks between initial COVID-19 infection and index was required. Diagnoses recorded +/-2 weeks from index that were not present prior to the initial COVID-19 diagnosis were summarized. Newly prescribed treatments and total medical costs were evaluated during the month following index (continuous enrollment required). Result(s): 3,587 patients met eligibility criteria (mean age 59.02, 57.56% female) with a median time from initial COVID-19 infection to long COVID diagnosis of 83 days (IQR: 46-201 days). The most common concurrent diagnoses included breathing complications such as dyspnea (20.38%) and respiratory failure (15.23%);malaise and fatigue (15.31%);symptoms related to cognitive functioning/anxiety (11.35%);and chest pain (7.67%). Children/adolescents had the highest prevalence of chest pain, while patients >=65 years of age had the highest prevalence of issues with coordination. The average total medical cost during the month following long COVID diagnosis was $4,267 (SD $14,662), with common prescriptions including albuterol (4.42%), prednisone (3.51%), and methylprednisolone (2.01%). Conclusion(s): This retrospective analysis confirms clinically documented symptoms of long COVID in a large, real-world population. Once more data become available, further research on the long term economic and clinical outcomes among patients diagnosed with post-acute COVID-19 syndrome are warranted.Copyright © 2023
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Objectives: To estimate the public health impact of COVID-19 booster vaccination in the UK during Omicron predominance, and to explore the impact in counterfactual scenarios with different booster eligibility or uptake. Method(s): A dynamic transmission model was developed to compare public health outcomes for actual and hypothetical UK Spring and Autumn 2022 booster programs. Outcomes were projected over an extended time horizon from April 2022-April 2023, assuming continued Omicron predominance as in Jan-Mar 2022. Health outcomes included averted cases, hospitalizations, long COVID cases, and deaths. NHS resource use outcomes were averted general ward and intensive care unit bed days and general practitioner visits. Patient productivity loss outcomes considered productive days lost for those in and outside the paid work force. Analyses used publicly available data. Result(s): Model output suggested that actual Spring and Autumn 2022 programs, which offered boosters to older adults and vulnerable populations, would avert approximately 716,000 hospitalizations, 1.9M long COVID cases and 125,000 deaths compared to not offering boosters in Spring and Autumn 2022. In a scenario that broadened eligibility to individuals aged >=5 years, an estimated 1.6M hospitalizations, 8.3M long COVID cases, and 222,000 deaths were averted. A scenario assuming broadened eligibility and increased uptake produced the greatest benefit among scenarios analyzed: 1.6M hospitalizations, 9.2M long COVID cases, and 228,000 deaths averted;and 953M productive days saved. Scenarios offering boosters only to high-risk individuals (aged >=5 years) were also estimated to improve benefit relative to actual programs. High-risk-only programs assuming increased uptake provided about half to two-thirds of the benefit estimated for programs assuming broadened eligibility and increased uptake. Conclusion(s): UK booster vaccination programs were estimated to provide substantial benefit to public health during Omicron predominance. Public health benefits could be maximized by broadening booster eligibility to younger age groups and increasing uptake.Copyright © 2023