The predictors of long–COVID in the cohort of Turkish Thoracic Society– TURCOVID multicenter registry: One year follow–up results (original) (raw)
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Long COVID, A Comprehensive Systematic Scoping Review
2021
Purpose To find out what is known from literature about Long COVID until January 30, 2021. Methods We undertook a four-step search with no language restriction. A preliminary search was made to identify the keywords. A search strategy of all electronic databases resulted in 66 eligible studies. A forward and backward search of the references and citations resulted in additional 54 publications. Non-English language articles were translated using Google Translate. We conducted our scoping review based on the PRISMA-ScR Checklist. Results Of 120 papers, we found only one randomized clinical trial. Of the 67 original studies, 22 were cohort, and 28 were cross-sectional studies. Of the total 120 publications, 49.1% focused on signs and symptoms, 23.3% on management, and 10.8% on pathophysiology. Ten publications focused on imaging studies. The results are also presented extensively in a narrative synthesis in separated sections (nomenclature, diagnosis, pathophysiology, risk factors, signs/symptoms, management). Conclusions The controversies in its definition have impaired proper recognition and management. The predominant symptoms were: fatigue, breathlessness, arthralgia, sleep difficulties, and chest pain. Recent reports also point to the risk of longterm sequela with cutaneous, respiratory, cardiovascular, musculoskeletal, mental health, neurologic, and renal involvement in those who survive the acute phase of the illness.
Long COVID, a comprehensive systematic scoping review
Infection
Purpose To find out what is known from literature about Long COVID until January 30, 2021. Methods We undertook a four-step search with no language restriction. A preliminary search was made to identify the keywords. A search strategy of all electronic databases resulted in 66 eligible studies. A forward and backward search of the references and citations resulted in additional 54 publications. Non-English language articles were translated using Google Translate. We conducted our scoping review based on the PRISMA-ScR Checklist. Results Of 120 papers, we found only one randomized clinical trial. Of the 67 original studies, 22 were cohort, and 28 were cross-sectional studies. Of the total 120 publications, 49.1% focused on signs and symptoms, 23.3% on management, and 10.8% on pathophysiology. Ten publications focused on imaging studies. The results are also presented extensively in a narrative synthesis in separated sections (nomenclature, diagnosis, pathophysiology, risk factors, signs/symptoms, management). Conclusions The controversies in its definition have impaired proper recognition and management. The predominant symptoms were: fatigue, breathlessness, arthralgia, sleep difficulties, and chest pain. Recent reports also point to the risk of longterm sequela with cutaneous, respiratory, cardiovascular, musculoskeletal, mental health, neurologic, and renal involvement in those who survive the acute phase of the illness.
Attributes and predictors of long COVID
Nature Medicine, 2021
Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long COVID', are rising but little is known about prevalence, risk factors or whether it is possible to predict a protracted course early in the disease. We analyzed data from 4,182 incident cases of COVID-19 in which individuals self-reported their symptoms prospectively in the COVID Symptom Study app 1. A total of 558 (13.3%) participants reported symptoms lasting ≥28 days, 189 (4.5%) for ≥8 weeks and 95 (2.3%) for ≥12 weeks. Long COVID was characterized by symptoms of fatigue, headache, dyspnea and anosmia and was more likely with increasing age and body mass index and female sex. Experiencing more than five symptoms during the first week of illness was associated with long COVID (odds ratio = 3.53 (2.76-4.50)). A simple model to distinguish between short COVID and long COVID at 7 days (total sample size, n = 2,149) showed an area under the curve of the receiver operating characteristic curve of 76%, with replication in an independent sample of 2,472 individuals who were positive for severe acute respiratory syndrome coronavirus 2. This model could be used to identify individuals at risk of long COVID for trials of prevention or treatment and to plan education and rehabilitation services. COVID-19 can manifest a wide severity spectrum from asymptomatic to fatal forms 2. A further source of heterogeneity is symptom duration. Hospitalized patients are well recognized to have lasting dyspnea and fatigue in particular 3 , yet such individuals constitute only a small proportion of symptomatic COVID-19 (ref. 4). Few studies capture symptoms prospectively in the general population to ascertain with accuracy the duration of illness and the prevalence of long-lasting symptoms. Here, we report a prospective observational cohort study of COVID-19 symptoms in 4,182 users of the COVID Symptom Study who reported testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and started logging on the app when feeling physically normal, enabling accurate determination
Risk Factors Associated with Long COVID Syndrome: A Retrospective Study
Iranian Journal of Medical Sciences, 2021
Background: Recently, people have recognized the post-acute phase symptoms of the COVID-19. We investigated the long-term symptoms associated with COVID-19, (Long COVID Syndrome), and the risk factors associated with it. Methods: This was a retrospective observational study. All the consecutive adult patients referred to the healthcare facilities anywhere in Fars province from 19 February 2020 until 20 November 2020 were included. All the patients had a confirmed COVID-19 diagnosis. In a phone call to the patients, at least three months after their discharge from the hospital, we obtained their current information. The IBM SPSS Statistics (version 25.0) was used. Pearson Chi square, Fisher’s exact test, t test, and binary logistic regression analysis model were employed. A P value of less than 0.05 was considered to be significant Results: In total, 4,681 patients were studied, 2915 of whom (62.3%) reported symptoms. The most common symptoms of long COVID syndrome were fatigue, exer...
BMJ Open
IntroductionThe variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explore the pathophysiological mechanisms and impact on health-related quality of life. A prediction model for long COVID-19 will be developed and internally validated to guide care in future patients.Methods and analysisData from seven COVID-19 cohorts will be aggregated in the longitudinal multiple cohort CORona Follow Up (CORFU) study. CORFU includes Dutch patients who suffered from COVID-19 at home, were hospitalised without or with intensive care unit treatment, needed inpatient or outpatient rehabilitation and controls who did not suffer from COVID-19. Individual cohort study designs were aligned and follow-up has been synchronised. Cohort participants will be followed up for a maximum of ...
Characteristics of long COVID among older adults: a cross-sectional study
International Journal of Infectious Diseases
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Should We Expect an Increase in the Number of Cancer Cases in People with Long COVID?
Microorganisms
The relationship between viral infections and the risk of developing cancer is well known. Multiple mechanisms participate in and determine this process. The COVID-19 pandemic caused by the SARS-CoV-2 virus has resulted in the deaths of millions of people worldwide. Although the effects of COVID-19 are limited for most people, a large number of people continue to show symptoms for a long period of time (long COVID). Several studies have suggested that cancer could also be a potential long-term complication of the virus; however, the causes of this risk are not yet well understood. In this review, we investigated arguments that could support or reject this possibility.
Pakistan Armed Forces Medical Journal, 2023
Objective: To determine the severity of High-Resolution Computed Tomography Chest findings of COVID-19 patients having co-morbid in comparison to those without co-morbid. Study Design: Comparative cross sectional study. Place and Duration of the Study: Radiology Department Combined Military Hospital, Multan Pakistan, from Mar to Sep 2020. Methodology: Data was collected through the medical record system of positive COVID-19 tests. Patients were divided into patients with no co-morbidities and others having co-morbidities. Two radiologists interpreted High-Resolution Computed Tomography chests independently to assess the disease severity in these two Groups. Co-morbidities included diabetes mellitus, hypertension, chronic renal disease, heart disease, Chronic Obstructive Pulmonary Disease and liver diseases. Results: A total of 200 patients were included. Out of 121 male patients, 85 had co-morbidities (71 had moderate to severe lung involvement; 14 had mild lung involvement); while 36 had no co-morbidities (5 had moderate to severe lung involvement; 31 had mild lung involvement). Out of 79 female patients, 47 had co-morbidities (15 had moderate to severe lung involvement; 32 had mild lung involvement); while 32 had no co-morbidities (3 had moderate to severe lung involvement; 29 had mild lung involvement). Conclusion: The severity of lung involvement was remarkably higher in patients with associated co-morbidities compared to no co-morbidities. Older age male patients having co-morbidities pose a risk factor for the severity of disease progression as compared to younger age female patients having no co-morbidities
COVID-19 Pnömonisi ile Başvuran Yaşlı Hastalarda Göğüs BT Prognostik Değeri
Duzce Universitesi Tip Fakültesi Dergisi, 2022
Aim: The late elderly, are the leading group of non-survivors infected with the coronavirus disease 2019 (COVID-19). Computed tomography (CT) imaging has been recognized as an important diagnostic method for COVID-19. This study aimed to determine the prognostic performance of CT imaging in patients above 75 years old. Material and Methods: After meeting the inclusion and exclusion criteria 56 elderly patients, 28 male, and 28 female were included in the study. Two radiologists interpreted CT imaging and a third experienced radiologist was in charge of reviewing the data and imaging findings in the controversial and disagreement cases. The lung score was determined for each patient, and radiologic signs were also examined. Results: The mean age of the patients was 81.4±5.0 years. Thirty-six patients survived, and 20 did not. 28 (50.0%) patients had central involvement, while 25 (44.6%) patients had diffuse involvement. Radiologic signs such as consolidation and air bronchogram were more common among non-survivors than survivors (both p=0.001). The mean lung score for the survivors was 8.75±6.21 and 13.45±6.41 for non-survivors, and the difference between the two groups was statistically significant (p=0.010). The area under the receiver operating characteristic curve for a cutoff score of 12 was 0.714 (95% CI, 0.577 to 0.827, p=0.003). Conclusion: It seems that using lung scores can play a very important role in predicting the condition of hospitalized patients over 75 years old.
Pragmatic and Observational Research, 2021
Introduction: Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care. Methods: This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18-85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration. Results: Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, cliniciandiagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had testconfirmed COVID-19. Risk predictors of long COVID were age ≥40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05-2.17]), female sex (adjOR=1.37 [1.02-1.85]), frailty (adjOR=2.39 [1.29-4.27]), visit to A&E (adjOR=4.28 [2.31-7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77-5.79]). Aches and pain (adjOR=1.70 [1.21-2.39]), appetite loss (adjOR=3.15 [1.78-5.92]), confusion and disorientation (adjOR=2.17 [1.57-2.99]), diarrhea (adjOR=1.4 [1.03-1.89]), and persistent dry cough (adjOR=2.77 [1.94-3.98]) were symptom features statistically more common in long COVID. Conclusion: This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients.