Poor sleep quality, insomnia, and short sleep duration before infection predict long-term symptoms after COVID-19.

BACKGROUND: Millions of COVID-19 survivors experience a wide range of long-term symptoms after acute infection, giving rise to serious public health concerns. To date, few risk factors for post-COVID-19 conditions have been determined. This study evaluated the role of pre-infection sleep quality/duration and insomnia severity in the incidence of long-term symptoms after COVID-19. MATERIAL AND METHODS: This prospective study involved two assessments (April 2020 and 2022). At the baseline (April 2020), sleep quality/duration and insomnia symptoms in participants without current/prior SARS-CoV-2 infection were measured using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI). At the follow-up (April 2022), we asked a group of COVID-19 survivors to retrospectively evaluate the presence of twenty-one symptoms (psychiatric, neurological, cognitive, bodily, and respiratory) that have been experienced one month (n = 713, infection in April 2020-February 2022) and three months after COVID-19 (n = 333, infection in April 2020-December 2021). In April 2022, participants also reported how many weeks passed to fully recover from COVID-19. Zero-inflated negative binomial models were used to estimate the effect of previous sleep on the number of long-term symptoms. Binomial logistic regressions were performed to evaluate the association between sleep variables, the incidence of each post-COVID-19 symptom, and the odds of recovery four/twelve weeks after infection. RESULTS: Analyses highlighted a significant effect of pre-infection sleep on the number of symptoms one/three months after COVID-19. Previous higher PSQI and ISI scores, and shorter sleep duration significantly increased the risk of almost every long-term symptom at one/three months from COVID-19. Baseline sleep problems were also associated with longer recovery times to return to the pre-infection daily functioning level after COVID-19. CONCLUSIONS: This study suggested a prospective dose-dependent association of pre-infection sleep quality/quantity and insomnia severity with the manifestation of post-COVID-19 symptoms. Further research is warranted to determine whether preventively promoting sleep health may mitigate the COVID-19 sequelae, with substantial public health and societal implications.

Reported neurological symptoms after severe acute respiratory syndrome coronavirus type 2 infection: A systematic diagnostic approach.

BACKGROUND AND PURPOSE: Following increasing demands of patients with suspected neurological symptoms after infection with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the Department of Neurology at the Medical University of Vienna established a new outpatient clinic to systematically assess, diagnose, and document neurological complaints potentially associated with a prior SARS-CoV-2 infection. METHODS: The data presented here include prospectively collected 156 outpatients from May 2021 to April 2022. Patients underwent semistandardized interviewing about symptoms with reported onset after SARS-CoV-2 infection, neurological examination, and comprehensive diagnostic workup. RESULTS: Reported new onset symptoms after infection included fatigue (77.6%), subjective cognitive impairment (72.4%), headache (47.7%), loss of smell and/or taste (43.2%), and sleep disturbances (42.2%). Most patients had a mild coronavirus disease (COVID-19) disease course (84%) and reported comorbidities (71%), of which the most frequent were psychiatric disorders (34%). Frequency of symptoms was not associated with age, sex, or severity of COVID-19 course. A comprehensive diagnostic workup revealed no neurological abnormalities in the clinical examination, or electrophysiological or imaging assessments in the majority of patients (n = 143, 91.7%). Neuropsychological assessment of a subgroup of patients (n = 28, 17.9%) showed that cognitive impairments in executive functions and attention, anxiety, depression, and somatization symptoms were highly common. CONCLUSIONS: In this systematic registry, we identified fatigue, cognitive impairment, and headache as the most frequently reported persisting complaints after SARS-CoV-2 infection. Structural neurological findings were rare. We also suspect a link between the growing burden of the COVID-19 pandemic on personal lives and the increase in reported neurological and psychiatric complaints.

Synergistic Effect between SARS-CoV-2 Wave and COVID-19 Vaccination on the Occurrence of Mild Symptoms in Healthcare Workers.

BACKGROUND: Since the beginning of the pandemic, five variants of epidemiological interest have been identified, each of them with its pattern of symptomology and disease severity. The aim of this study is to analyze the role of vaccination status in modulating the pattern of symptomatology associated with COVID-19 infection during four waves. METHODS: Data from the surveillance activity of healthcare workers were used to carry out descriptive analysis, association analyses and multivariable analysis. A synergism analysis between vaccination status and symptomatology during the waves was performed. RESULTS: Females were found at a higher risk of developing symptoms. Four SARS-CoV-2 waves were identified. Pharyngitis and rhinitis were more frequent during the fourth wave and among vaccinated subjects while cough, fever, flu syndrome, headache, anosmia, ageusia, arthralgia/arthritis and myalgia were more frequent during the first three waves and among unvaccinated subjects. A correlation was found between vaccination and the different waves in terms of developing pharyngitis and rhinitis. CONCLUSION: Vaccination status and viruses' mutations had a synergic effect in the mitigation of the symptomatology caused by SARS-CoV-2 in healthcare workers.

Simple Symptom-Based Prediction of COVID-19: A Single-Center Study of Outpatient Fever Clinic in Japan.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) symptoms are not fully understood in non-hospitalized individuals in Japan, and COVID-19 differentiation by symptoms alone remained challenging. Therefore, this study aimed to examine COVID-19 prediction from symptoms using real-world data in an outpatient fever clinic. METHODS: We compared the symptoms of COVID-19-positive and negative patients who visited the outpatient fever clinic at Imabari City Medical Association General Hospital and tested for COVID-19 from April 2021 to May 2022. This retrospective single-center study enrolled 2,693 consecutive patients. RESULTS: COVID-19-positive patients had a higher frequency of close contact with COVID-19-infected patients compared with COVID-19-negative patients. Moreover, patients with COVID-19 had high-grade fever at the clinic compared with patients without COVID-19. Additionally, the most common symptom in patients with COVID-19 was sore throat (67.3%), followed by cough (62.0%), which was approximately twice as common in patients without COVID-19. COVID-19 was more frequently identified in patients having a fever (≥37.5℃) with a sore throat, a cough, or both. The positive COVID-19 rate reached approximately half (45%) when three symptoms were present. CONCLUSION: These results suggested that COVID-19 prediction by combinations of simple symptoms and close contact with COVID-19-infected patients might be useful and lead to recommendations for testing of COVID-19 in symptomatic individuals.

Large Language Model as Unsupervised Health Information Retriever.

Retrieving health information is a task of search for health-related information from a variety of sources. Gathering self-reported health information may help enrich the knowledge body of the disease and its symptoms. We investigated retrieving symptom mentions in COVID-19-related Twitter posts with a pretrained large language model (GPT-3) without providing any examples (zero-shot learning). We introduced a new performance measure of total match (TM) to include exact, partial and semantic matches. Our results show that the zero-shot approach is a powerful method without the need to annotate any data, and it can assist in generating instances for few-shot learning which may achieve better performance.

Determinants of post-COVID-19 symptoms among adults aged 55 or above with chronic conditions in primary care: data from a prospective cohort in Hong Kong.

Background: Primary care patients, especially those with an older age, are one of the most vulnerable populations for post-COVID-19 symptoms. Identifying predictors of post-COVID symptoms can help identify high-risk individuals for preventive care. Methods: Out of 977 primary care patients aged 55 years or above with comorbid physical and psychosocial conditions in a prospective cohort in Hong Kong, 207 patients infected in the previous 5-24 weeks were included. The three most common post-COVID-19 symptoms (breathlessness, fatigue, cognitive difficulty), which lasted beyond the 4-week acute infection period, were assessed using items from the COVID-19 Yorkshire Rehabilitation Scale (C19-YRS), together with other self-reported symptoms. Multivariable analyses were conducted to identify predictors of post-acute and long COVID-19 symptoms (5-24 weeks after infection). Results: The 207 participants had a mean age of 70.8 ± 5.7 years, 76.3% were female, and 78.7% had ≥2 chronic conditions. In total, 81.2% reported at least one post-COVID symptom (mean: 1.9 ± 1.3); 60.9, 56.5 and 30.0% reported fatigue, cognitive difficulty, and breathlessness respectively; 46.1% reported at least one other new symptom (such as other respiratory-related symptoms (14.0%), insomnia or poor sleep quality (14.0%), and ear/nose/throat symptoms (e.g., sore throat) (10.1%), etc.). Depression predicted post-COVID-19 fatigue. The female sex predicted cognitive difficulty. Receiving fewer vaccine doses (2 doses vs. 3 doses) was associated with breathlessness. Anxiety predicted a higher overall symptom severity level of the three common symptoms. Conclusion: Depression, the female sex, and fewer vaccine doses predicted post-COVID symptoms. Promoting vaccination and providing intervention to those at high-risk for post-COVID symptoms are warranted.

Symptoms burden and rehabilitation preference after an episode of COVID-19: A patients survey.

BACKGROUND: After COVID-19 infection, individuals can experience a variety of symptoms that might require further treatment. Early data showed the value of adapted pulmonary rehabilitation programmes and technology-based interventions. To develop appropriate services, it is important to understand the symptom burden and the preferred mode of rehabilitation delivery. METHODS: Post-hospital discharge (H) and post-community-managed (C) individuals received a follow-up call. A survey was completed to assess the most burdensome symptoms for which the patients would require support and their preference for the mode of rehabilitation delivery. RESULTS: Overall, 160 individuals who received a follow-up call completed the survey (51.2% male, mean [SD] age 54 [15] years) and 126 (78.8%) were post-hospital, while 34 (21.3%) had community-managed infections. A total of 101 (63.1%) reported that COVID-19-related symptoms were affecting their daily activities, and 106 (66.3%) reported their desire to be more active. The most common symptoms identified as needing support were fatigue and shortness of breath. Both groups expressed a preference for a face-to-face group programme (C: 54.8%; H: 46.8%), while (38.7%) of post-community-managed individuals and (40.3%) post-hospital patients preferred a supported digital rehabilitation programme. Few opted a non-digital home-based programme (C: 3.2%; H:12.9%, respectively). CONCLUSION: The survey responses indicated a significant symptom burden that may benefit from an intervention such as rehabilitation. Preferences for rehabilitation indicated that a face-to-face intervention was preferred by the majority, with a large proportion preferring digital intervention.

Changing Trends in COVID-19 Symptomatology: A Survey-Based Analysis.

India currently ranks the highest in the world with over 3.86 lakhs new COVID-19 cases per day. With a spike in the number of cases in the second wave of COVID-19 in 2021 compared to the first wave of the outbreak in 2020, there have been varied clinical manifestations among masses. This study aimed to determine the changing trends in prevalence of COVID-19 symptoms during the pandemic. A cross-sectional study among 166 individuals was carried out using a self-designed survey-based questionnaire. Two groups were made on the basis of symptoms and compared: Group A- patients who tested COVID-19 positive in 2020 and Group B- patients who tested COVID-19 positive in 2021. 130 participants (78.31%) had tested positive for COVID-19, out of which 110 (84.62%) were symptomatic and 20 (15.38%) were asymptomatic. Fever was the most common presenting symptom (27.69%) followed by difficulty in breathing (24.62%). Group A individuals (n = 37), reported fever as the most common presenting symptom (45.95%), followed by body ache (13.51%); while those in Group B (n = 93) reported difficulty in breathing (33.33%) followed by fever (20.43%). The most common general symptoms were fever and difficulty in breathing while sore throat, cough and anosmia were the most common ENT symptoms. 57.83% had been vaccinated out of which 38.55% experienced symptoms post-vaccination. The prevalence of symptoms in the first and second wave of the pandemic can help in better understanding of the changing symptomatology of SARS-CoV-2 virus.

Smell and Taste in Children with Covid-19.

Objectives: To assess the frequency of loss of smell and taste in children during Covid-19 infection and their prevalence along with other symptoms, as well as the recovery of chemosensory function once healed. Methods: To evaluate symptoms during infection, we adapted the Scandinavian adaptation of the Multi-Clinic Smell and Taste Questionnaire and the modified Monel-Jefferson questionnaire. For smell analysis we used Odor Identification (OI) and two variants of the Odor Discrimination (OD) test, and we compared the results with those of a control group. Results: We enrolled nine patients in our experimental group and nine in our control group. Fever was the most frequent symptom (55% of cases), followed by anosmia and ageusia (44% of cases), muscle pain and asthenia (22% of cases) and diarrhea, abdominal pain, cough, and headache (11% of cases). In 11% of cases, olfactory symptoms were the only manifestation of the disease. There was no statistically significant difference in OI test and OD tests between the two groups (Children healed from Covid-19 and Control Group). Conclusion: Loss of smell and taste are the second most common symptoms of pediatric Covid-19, and they should always be tested because they can be the only manifestations of infection. Olfactory function in Covid-19 children decreases with increasing age and improves with the passage of time after illness.

Incidence and Characterization of Post-COVID-19 Symptoms in Hospitalized COVID-19 Survivors to Recognize Syndemic Connotations in India: Single-Center Prospective Observational Cohort Study.

BACKGROUND: Long COVID, or post-COVID-19 syndrome, is the persistence of signs and symptoms that develop during or after COVID-19 infection for more than 12 weeks and are not explained by an alternative diagnosis. In spite of health care recouping to prepandemic states, the post-COVID-19 state tends to be less recognized from low- and middle-income country settings and holistic therapeutic protocols do not exist. Owing to the syndemic nature of COVID-19, it is important to characterize post-COVID-19 syndrome. OBJECTIVE: We aimed to determine the incidence of post-COVID-19 symptoms in a cohort of inpatients who recovered from COVID-19 from February to July 2021 at a tertiary-care center in South India. In addition, we aimed at comparing the prevalence of post-COVID-19 manifestations in intensive care unit (ICU) and non-ICU patients, assessing the persistence, severity, and characteristics of post-COVID-19 manifestations, and elucidating the risk factors associated with the presence of post-COVID-19 manifestations. METHODS: A total of 120 adult patients admitted with COVID-19 in the specified time frame were recruited into the study after providing informed written consent. The cohort included 50 patients requiring intensive care and 70 patients without intensive care. The follow-up was conducted on the second and sixth weeks after discharge with a structured questionnaire. The questionnaire was filled in by the patient/family member of the patient during their visit to the hospital for follow-up at 2 weeks and through telephone follow-up at 6 weeks. RESULTS: The mean age of the cohort was 55 years and 55% were men. Only 5% of the cohort had taken the first dose of COVID-19 vaccination. Among the 120 patients, 58.3% had mild COVID-19 and 41.7% had moderate to severe COVID-19 infection. In addition, 60.8% (n=73) of patients had at least one persistent symptom at the sixth week of discharge and 50 (41.7%) patients required intensive care during their inpatient stay. The presence of persistent symptoms at 6 weeks was not associated with severity of illness, age, or requirement for intensive care. Fatigue was the most common reported persistent symptom with a prevalence of 55.8%, followed by dyspnea (20%) and weight loss (16.7%). Female sex (odds ratio [OR] 2.4, 95% CI 1.03-5.58; P=.04) and steroid administration during hospital stay (OR 4.43, 95% CI 1.9-10.28; P=.001) were found to be significant risk factors for the presence of post-COVID-19 symptoms at 6 weeks as revealed by logistic regression analysis. CONCLUSIONS: Overall, 60.8% of inpatients treated for COVID-19 had post-COVID-19 symptoms at 6 weeks postdischarge from the hospital. The incidence of post-COVID-19 syndrome in the cohort did not significantly differ across the mild, moderate, and severe COVID-19 severity categories. Female sex and steroid administration during the hospital stay were identified as predictors of the persistence of post-COVID-19 symptoms at 6 weeks.

Subacute thyroiditis following COVID-19: A systematic review.

Background: Subacute thyroiditis (SAT) is a self-limiting thyroid inflammatory disease occurring specifically after upper respiratory tract infections. Since COVID-19 is a respiratory disease leading to multi-organ involvements, we aimed to systematically review the literature regarding SAT secondary to COVID-19. Methods: We searched Scopus, PubMed/MEDLINE, Cochrane, Web of Science, ProQuest, and LitCovid databases using the terms "subacute thyroiditis" and "COVID-19" and their synonyms from inception to November 3, 2022. We included the original articles of the patients with SAT secondary to COVID-19. Studies reporting SAT secondary to COVID-19 vaccination or SAT symptoms' manifestation before the COVID-19 infection were not included. Results: Totally, 820 articles were retained. Having removed the duplicates, 250 articles remained, out of which 43 articles (40 case reports and three case series) with a total of 100 patients, were eventually selected. The patients aged 18-85 years (Mean: 42.70, SD: 11.85) and 68 (68%) were women. The time from the onset of COVID-19 to the onset of SAT symptoms varied from zero to 168 days (Mean: 28.31, SD: 36.92). The most common symptoms of SAT were neck pain in 69 patients (69%), fever in 54 (54%), fatigue and weakness in 34 (34%), and persistent palpitations in 31 (31%). The most common ultrasonographic findings were hypoechoic regions in 73 (79%), enlarged thyroid in 46 (50%), and changes in thyroid vascularity in 14 (15%). Thirty-one patients (31%) were hospitalized, and 68 (68%) were treated as outpatients. Corticosteroids were the preferred treatment in both the inpatient and outpatient settings (25 inpatients (81%) and 44 outpatients (65%)). Other preferred treatments were nonsteroidal anti-inflammatory drugs (nine inpatients (29%) and 17 outpatients (25%)) and beta-blockers (four inpatients (13%) and seven outpatients (10%)). After a mean duration of 61.59 days (SD: 67.07), 21 patients (23%) developed hypothyroidism and thus, levothyroxine-based treatment was used in six of these patients and the rest of these patients did not receive levothyroxine. Conclusion: SAT secondary to COVID-19 seems to manifest almost similarly to the conventional SAT. However, except for the case reports and case series, lack of studies has limited the quality of the data at hand.

Digital Interventions for Treating Post-COVID or Long-COVID Symptoms: Scoping Review.

BACKGROUND: Patients with post-COVID/long-COVID symptoms need support, and health care professionals need to be able to provide evidence-based patient care. Digital interventions can meet these requirements, especially if personal contact is limited. OBJECTIVE: We reviewed evidence-based digital interventions that are currently available to help manage physical and mental health in patients with post-COVID/long-COVID symptoms. METHODS: A scoping review was carried out summarizing novel digital health interventions for treating post-COVID/long-COVID patients. Using the PICO (population, intervention, comparison, outcome) scheme, original studies were summarized, in which patients with post-COVID/long-COVID symptoms used digital interventions to help aid recovery. RESULTS: From all scanned articles, 8 original studies matched the inclusion criteria. Of the 8 studies, 3 were "pretest" studies, 3 described the implementation of a telerehabilitation program, 1 was a post-COVID/long-COVID program, and 1 described the results of qualitative interviews with patients who used an online peer-support group. Following the PICO scheme, we summarized previous studies. Studies varied in terms of participants (P), ranging from adults in different countries, such as former hospitalized patients with COVID-19, to individuals in disadvantaged communities in the United Kingdom, as well as health care workers. In addition, the studies included patients who had previously been infected with COVID-19 and who had ongoing symptoms. Some studies focused on individuals with specific symptoms, including those with either post-COVID-19 or long-term symptoms, while other studies included patients based on participation in online peer-support groups. The interventions (I) also varied. Most interventions used a combination of psychological and physical exercises, but they varied in duration, frequency, and social dimensions. The reviewed studies investigated the physical and mental health conditions of patients with post-COVID/long-COVID symptoms. Most studies had no control (C) group, and most studies reported outcomes (O) or improvements in physiological health perception, some physical conditions, fatigue, and some psychological aspects such as depression. However, some studies found no improvements in bowel or bladder problems, concentration, short-term memory, unpleasant dreams, physical ailments, perceived bodily pain, emotional ailments, and perceived mental health. CONCLUSIONS: More systematic research with larger sample sizes is required to overcome sampling bias and include health care professionals' perspectives, as well as help patients mobilize support from health care professionals and social network partners. The evidence so far suggests that patients should be provided with digital interventions to manage symptoms and reintegrate into everyday life, including work.

Diagnosis and Possible Use of Traditional Medicinal Plant to combat COVID-19

The novel Coronavirus disease 2019 has turned into a serious public health concern around the globe. Due to its high adaptability in every environment, this novel virus has outspread like fire compared to SARS and MERS, but the fatality rate is lower. This outbreak has caused illness to many people worldwide. Especially, people with lung problems and other chronic diseases are at high risk. Although convincing results have shown the use of chemically synthesized drugs, these drugs have various limitations. Therefore, a medicinal plant might provide a solution for the novel virus along with the recent advancement in computational methods that have paved a new path to operate complex molecules, which will ultimately result in discovering new and advanced drugs. In this review, we have summarized and analyze plant-based natural product which can be used to boost the immune system or act as a remedy for patients suffering from a novel virus. This review also focuses on the structure of COVID-19, various diagnostics tools, preventive measures, and data analysis of the novel Coronavirus of India.Copyright © 2021 Bentham Science Publishers.

DOES THE SUFFERING END AFTER CURE FROM COVID?

Background: Multisystem involvement of Covid-19 has been known since beginning of the pandemic. Multisystem aftereffects or sequelae of covid-19 have been noted and the term 'long Covid' encompasses these signs and symptoms. This leads to prolonged morbidity which have not been adequately addressed by Covid guidelines. The primary aim of our study was to know the spectrum of different sequelae patients have endured after recovery from acute Covid-19 and study their impact on their quality of life. Methods: It was a longitudinal observational study of a cohort of 146 patients who recovered from Covid-19 illness. Patients were enrolled within a week of their onset of Covid symptoms and were followed up monthly for a duration of 6 months with a detailed clinical and investigational pulmonary, cardiac, neurological and psychiatric assessment anda final follow-up after a year. Impact on quality of life was assessed using EQ-5D-3L questionnaire. Those lost to follow up were excluded from the analysis. Results: 120/146 patients qualified for final analysis. Pulmonary sequelae (40%) were the majority among the patients, followed by psychiatric (25%), neurological (21.7%) and opportunistic infections (5.8%). 4/120 died within a year. 62/120 patients documented worsening in quality of life. Sequelae like pulmonary fibrosis, PTSD had the worst impact on the quality of life.95% severe, 54.5% moderate and 25% mild Covid patients reported deterioration in QoL score respectively. Conclusion: Study indicates health related consequences from Covid-19 extend far beyond acute infection andmake significant impact on their quality of life, regardless of the severity of the disease. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz 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.)

RELATIONSHIP AGE, GENDER AND OCCUPATION OF CORONA PATIENTS WITH COVID-19 DISEASE INFECTION

Background: To assist public health strategies in the COVID-19 pandemic, it appears that identifying risk factors for negative outcomes is required. Among these are individual factors, such as age, gender, residence and occupation. A relationship between coronavirus disease and the different conditions has been reported. Although COVID-19 affects all age groups, both gender, different residence area and different professions of people. Aim: To understand the relationship between Coronavirus-19 infection and some risk factors. On the other hand, the most common symptoms among people with corona. Method: Using the data analysis obtained in electronic health records from hospitals and health centers in the province. Results: The results showed that the males are more affected than females and the age group of 21-50 years is the most exposed to infection with the Corona virus. People who live in the rural areas and children are less likely to be infected. Finally, the research indicated that the patient's temperature was raised above 38, which was the most important symptom of the disease. © ICAS 2022.

Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models

Since the onset of the COVID-19 pandemic, social media users have shared their personal experiences related to the viral infection. Their posts contain rich information of symptoms that may provide useful hints to advancing the knowledge body of medical research and supplement the discoveries from clinical settings. Identification of symptom expressions in social media text is challenging, partially due to lack of annotated data. In this study, we investigate utilizing few-shot learning with generative pre-trained transformer language models to identify COVID-19 symptoms in Twitter posts. The results of our approach show that large language models are promising in more accurately identifying symptom expressions in Twitter posts with small amount of annotation effort, and our method can be applied to other medical and health applications where abundant of unlabeled data is available. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

COVID-19 monoclonal antibody treatment impact on symptoms and post-COVID conditions among high-risk patients at a Federally Qualified Health Center.

BACKGROUND: Monoclonal antibody (mAb) treatment for COVID-19 is associated with improved clinical outcomes. However, there is limited information regarding the impact of treatment on symptoms and the prevalence of post-COVID Conditions (PCC). Understanding of the association between time to mAb infusion and the development of PCC is also limited. METHODS: This longitudinal study was conducted among patients with COVID-19 who received mAb infusions at a Federally Qualified Health Center in San Diego, CA. A series of telephone interviews were conducted at baseline and follow-up (14 days and 28+ days). A comprehensive symptom inventory was completed and physical and mental health status were measured using PROMIS-29 and PHQ-2. Pearson's Chi-squared tests and independent two-sample t-tests were performed to test for association between time to mAb infusion and outcomes at follow-up. A Poisson regression model was used to analyze whether time to mAb infusion predicts risk of developing PCC. RESULTS: Participants (N = 411) were 53% female, ranged in age from 16 to 92 years (mean 50), and a majority (56%) were Latino/Hispanic. Cross-sectional findings revealed a high symptom burden at baseline (70% of patients had cough, 50% had fever, and 44% had headache). The prevalence of many symptoms decreased substantially by the final follow-up survey (29% of patients had cough, 3% had fever, and 28% had headache). Longitudinal findings indicated that 10 symptoms decreased in prevalence from baseline to final follow-up, 2 remained the same, and 14 increased. The severity of symptoms and most patient-reported physical and mental health measure scores decreased over time. The prevalence of PCC was 69% when PCC was defined as ≥ 1 symptom at final follow-up. Time to mAb infusion was not significantly associated with any outcome at follow-up. Time to infusion was not associated with PCC status at final follow-up in the crude or adjusted Poisson regression models. CONCLUSIONS: The prevalence of PCC was high among this patient population following COVID-19 mAb treatment. Time to mAb infusion did not predict the development of PCC. Further research in these areas is essential to answer urgent clinical questions about effective treatments of COVID-19.

Physical Impact of SARS-CoV-2 Infection in a Population of Italian Healthcare Workers.

SARS-CoV-2 infection often causes symptoms and illness that can last for months after the acute phase, i.e., so-called "Long COVID" or Post-acute COVID-19. Due to the high prevalence of SARS-CoV-2 infection among Healthcare Workers (HCWs), post-COVID-19 symptoms can be common and threaten workers' occupational health and healthcare systems' functioning. The aim of this cross-sectional, observational study was to present data related to post-COVID-19 outcomes in a population of HCWs infected by COVID-19 from October 2020 to April 2021, and to identify possible factors associated with the persistence of illness, such as gender, age, previous medical conditions, and features of acute illness. A total of 318 HCWs who had become infected by COVID-19 were examined and interviewed approximately two months after their recovery from the infection. The clinical examinations were performed by Occupational Physicians in accordance with a specific protocol at the Occupational Medicine Unit of a tertiary hospital in Italy. The mean age of the participants was 45 years old, and 66.7% of the workers were women while 33.3% were men; the sample mainly consisted of nurses (44.7%). During the medical examination, more than half of the workers mentioned that they had experienced multiple residual bouts of illness after the acute phase of infection. Men and women were similarly affected. The most reported symptom was fatigue (32.1%), followed by musculoskeletal pain (13.6%) and dyspnea (13.2%). In the multivariate analysis, dyspnea (p < 0.001) and fatigue (p < 0.001) during the acute stage of illness and the presence of any limitation in working activities, in the context of fitness for a work evaluation performed while the occupational medicine surveillance program was being conducted (p = 0.025), were independently associated with any post-COVID-19 symptoms, which were considered final outcomes. The main post-COVID-19 symptoms-dyspnea, fatigue, and musculoskeletal pain-showed significant associations with dyspnea, fatigue, and musculoskeletal pain experienced during the acute stage of infection, with the presence of limitations in working activities, and pre-existing pneumological diseases. A normal weight according to body mass index was a protective factor. The identification of vulnerable workers as those with limitations in working activities, pneumological diseases, a high BMI, and of an older age and the implementation of preventive measures are key factors for preserving Occupational Health. Fitness-to-work evaluations performed by Occupational Physicians can be considered a complex index of overall health and functionality that can identify workers who may suffer from relevant post-COVID-19 symptoms.

What is the role of proton pump inhibitors consumption on the clinical presentation and severity of COVID-19 infection?

OBJECTIVE: Proton pump inhibitors (PPI) are among the most prescribed drugs worldwide; therefore, assessing their effect on COVID-19 infection symptoms and severity is of great importance. This study was designed to evaluate the role of previous PPI consumption on the clinical presentation and severity of COVID-19. PATIENTS AND METHODS: All adult COVID-19 patients were eligible in this observational cross-sectional study. The patients' demographic and clinical data, history of PPI consumption, and comorbid disease were recorded. Charlson comorbidity index (CCI) and quick COVID-19 severity index (qCSI) score were calculated for each patient. IBM SPSS version 25 was used for statistical analysis. RESULTS: Totally 670 patients completed the study (PPI users=121). The average severity (qCSI) score of PPI user patients with comorbidity score of zero was significantly higher than non-users (P-value=0.001). Mortality rate was 6.6% and 3.8% in PPI-users and non-users respectively (P-value=0.117). PPI users were significantly more symptomatic compared to non-users (P-value=0.001). CONCLUSION: We found that PPI users were meaningfully more symptomatic and had a higher severity (qCSI) score. Rational prescription of PPIs should be considered by physicians during and after the pandemic.

COVID-19 symptoms and compliance: The mediating role of fundamental social motives.

Background: Understanding the compliance of infected individuals and the psychological process underlying compliance during pandemics is important for preventing and controlling the spread of pathogens. Our study investigated whether fundamental social motives mediate the relationship between having infectious disease and compliance. Methods: An online survey was conducted in March 2020, during the severe phase of the COVID-19 outbreak in China to collect data from 15,758 participants. The survey comprised self-report questionnaires with items pertaining to current symptoms (COVID-19 symptoms, other symptoms or no symptoms), the Fundamental Social Motive Inventory, and measures of compliance. Correlation analysis, linear regression analysis, and structural equation model were used for data analysis. Results: The participants with COVID-19 symptoms had lower levels of compliance than those without symptoms, and their lower compliance was caused by a decrease in disease avoidance (indirect effect = -0.058, 95% CI = [-0.061, -0.056]) and familial motives (indirect effect = -0.113, 95% CI = [-0.116, -0.062]). Whereas exclusion concern (indirect effect = 0.014, 95% CI = [0.011, 0.017]) suppressed the effects of COVID-19 symptoms on compliance, the effect disappeared in the multiple mediation model, while those of disease avoidance and familial motives remained. Conclusion: Our findings emphasize the critical role of disease avoidance and familial motives in promoting compliance with public health norms during pandemics and suggest that enhancing these motives may serve as an effective intervention strategy to mitigate noncompliance among potentially infected individuals.