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1.
Biomedicines ; 11(5)2023 May 03.
Article in English | MEDLINE | ID: covidwho-20242114

ABSTRACT

The clinical manifestations of SARS-CoV-2 infection vary widely, from asymptomatic infection to the development of acute respiratory distress syndrome (ARDS) and death. The host response elicited by SARS-CoV-2 plays a key role in determining the clinical outcome. We hypothesized that determining the dynamic whole blood transcriptomic profile of hospitalized adult COVID-19 patients and characterizing the subgroup that develops severe disease and ARDS would broaden our understanding of the heterogeneity in clinical outcomes. We recruited 60 hospitalized patients with RT-PCR-confirmed SARS-CoV-2 infection, among whom 19 developed ARDS. Peripheral blood was collected using PAXGene RNA tubes within 24 h of admission and on day 7. There were 2572 differently expressed genes in patients with ARDS at baseline and 1149 at day 7. We found a dysregulated inflammatory response in COVID-19 ARDS patients, with an increased expression of genes related to pro-inflammatory molecules and neutrophil and macrophage activation at admission, in addition to an immune regulation loss. This led, in turn, to a higher expression of genes related to reactive oxygen species, protein polyubiquitination, and metalloproteinases in the latter stages. Some of the most significant differences in gene expression found between patients with and without ARDS corresponded to long non-coding RNA involved in epigenetic control.

5.
Int J Infect Dis ; 2022 Sep 30.
Article in English | MEDLINE | ID: covidwho-2049309

ABSTRACT

OBJECTIVE: To describe long-COVID symptoms among older adults, and to assess risk factors for two common long-COVID symptoms: fatigue and dyspnea. METHODS: Multicenter prospective cohort study, conducted in Israel, Switzerland, Spain, and Italy. Included were individuals at least 30 days since COVID-19 diagnosis. We compared long-COVID symptoms between elderly individuals (age>65 years) and younger population (18-65 years); and conducted univariate and multivariable analyses for predictors of long-COVID fatigue and dyspnea. RESULTS: 2333 individuals were evaluated at an average of 5 months [146 days (95% CI 142-150)] following COVID-19 onset. Mean age was 51 and 20.5% were>65 years. Older adults were more likely to be symptomatic, with most common symptoms being fatigue (38%) and dyspnea (30%). They were more likely to complain of cough and arthralgia, and have abnormal chest imaging and pulmonary function tests. Independent risk factors for long-COVID fatigue and dyspnea included female gender, obesity, and closer proximity to COVID-19 diagnosis; older age was not an independent predictor. CONCLUSIONS: Older individuals with long-COVID, have different persisting symptoms, with more pronounced pulmonary impairment. Women and individuals with obesity are at risk. Further research is warranted to investigate the natural history of long-COVID among the elderly population and to assess possible interventions aimed at promoting rehabilitation and well-being.

7.
BMJ Open ; 12(4): e056637, 2022 04 21.
Article in English | MEDLINE | ID: covidwho-1807409

ABSTRACT

OBJECTIVES: Patients with cancer are at higher risk for severe COVID-19 infection. COVID-19 surveillance of workers in oncological centres is crucial to assess infection burden and prevent transmission. We estimate the SARS-CoV-2 seroprevalence among healthcare workers (HCWs) of a comprehensive cancer centre in Catalonia, Spain, and analyse its association with sociodemographic characteristics, exposure factors and behaviours. DESIGN: Cross-sectional study (21 May 2020-26 June 2020). SETTING: A comprehensive cancer centre (Institut Català d'Oncologia) in Catalonia, Spain. PARTICIPANTS: All HCWs (N=1969) were invited to complete an online self-administered epidemiological survey and provide a blood sample for SARS-CoV-2 antibodies detection. PRIMARY OUTCOME MEASURE: Prevalence (%) and 95% CIs of seropositivity together with adjusted prevalence ratios (aPR) and 95% CI were estimated. RESULTS: A total of 1266 HCWs filled the survey (participation rate: 64.0%) and 1238 underwent serological testing (97.8%). The median age was 43.7 years (p25-p75: 34.8-51.0 years), 76.0% were female, 52.0% were nursing or medical staff and 79.0% worked on-site during the pandemic period. SARS-CoV-2 seroprevalence was 8.9% (95% CI 7.44% to 10.63%), with no differences by age and sex. No significant differences in terms of seroprevalence were observed between onsite workers and teleworkers. Seropositivity was associated with living with a person with COVID-19 (aPR 3.86, 95% CI 2.49 to 5.98). Among on-site workers, seropositive participants were twofold more likely to be nursing or medical staff. Nursing and medical staff working in a COVID-19 area showed a higher seroprevalence than other staff (aPR 2.45, 95% CI 1.08 to 5.52). CONCLUSIONS: At the end of the first wave of the pandemic in Spain, SARS-CoV-2 seroprevalence among Institut Català d'Oncologia HCW was lower than the reported in other Spanish hospitals. The main risk factors were sharing household with infected people and contact with COVID-19 patients and colleagues. Strengthening preventive measures and health education among HCW is fundamental.


Subject(s)
COVID-19 , Neoplasms , Adult , Antibodies, Viral , COVID-19/epidemiology , Cross-Sectional Studies , Female , Health Personnel , Humans , Male , Neoplasms/epidemiology , SARS-CoV-2 , Seroepidemiologic Studies , Spain/epidemiology
8.
J Clin Med ; 11(4)2022 Feb 09.
Article in English | MEDLINE | ID: covidwho-1674687

ABSTRACT

BACKGROUND: Long COVID has become a burden on healthcare systems worldwide. Research into the etiology and risk factors has been impeded by observing all diverse manifestations as part of a single entity. We aimed to determine patterns of symptoms in convalescing COVID-19 patients. METHODS: Symptomatic patients were recruited from four countries. Data were collected regarding demographics, comorbidities, acute disease and persistent symptoms. Factor analysis was performed to elucidate symptom patterns. Associations of the patterns with patients' characteristics, features of acute disease and effect on daily life were sought. RESULTS: We included 1027 symptomatic post-COVID individuals in the analysis. The majority of participants were graded as having a non-severe acute COVID-19 (N = 763, 74.3%). We identified six patterns of symptoms: cognitive, pain-syndrome, pulmonary, cardiac, anosmia-dysgeusia and headache. The cognitive pattern was the major symptoms pattern, explaining 26.2% of the variance; the other patterns each explained 6.5-9.5% of the variance. The cognitive pattern was higher in patients who were outpatients during the acute disease. The pain-syndrome pattern was associated with acute disease severity, higher in women and increased with age. The pulmonary pattern was associated with prior lung disease and severe acute disease. Only two of the patterns (cognitive and cardiac) were associated with failure to return to pre-COVID occupational and physical activity status. CONCLUSION: Long COVID diverse symptoms can be grouped into six unique patterns. Using these patterns in future research may improve our understanding of pathophysiology and risk factors of persistent COVID, provide homogenous terminology for clinical research, and direct therapeutic interventions.

9.
Glob Epidemiol ; 4: 100071, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-1611740

ABSTRACT

BACKGROUND: The changes in shield strategies, treatments, emergence variants, and healthcare pathways might shift the profile and outcome of patients hospitalized with COVID-19 in successive waves of the outbreak. METHODS: We retrospectively analysed the characteristics and in-hospital outcomes of all patients admitted with COVID-19 in eight university hospitals of Catalonia (North-East Spain) between Feb 28, 2020 and Feb 28, 2021. Using a 7-joinpoint regression analysis, we split admissions into four waves. The main hospital outcomes included 30-day mortality and admission to intensive care unit (ICU). FINDINGS: The analysis included 17,027 subjects admitted during the first wave (6800; 39.9%), summer wave (1807; 10.6%), second wave (3804; 22.3%), and third wave (4616; 27.1%). The highest 30-day mortality rate was reported during the first wave (17%) and decreased afterwards, remaining stable at 13% in the second and third waves (overall 30% reduction); the lowest mortality was reported during the summer wave (8%, 50% reduction). ICU admission became progressively more frequent during successive waves. In Cox regression analysis, the main factors contributing to differences in 30-day mortality were the epidemic wave, followed by gender, age, diabetes, chronic kidney disease, and neoplasms. INTERPRETATION: Although in-hospital COVID-19 mortality remains high, it decreased substantially after the first wave and is highly dependent of patient's characteristics and ICU availability. Highest mortality reductions occurred during a wave characterized by younger individuals, an increasingly frequent scenario as vaccination campaigns progress. FUNDING: This work did not receive specific funding.

10.
Nutrients ; 14(1)2021 Dec 27.
Article in English | MEDLINE | ID: covidwho-1580550

ABSTRACT

BACKGROUND: The COVID-19 lockdown has had a significant impact on mental health. Patients with eating disorders (ED) have been particularly vulnerable. AIMS: (1) To explore changes in eating-related symptoms and general psychopathology during lockdown in patients with an ED from various European and Asian countries; and (2) to assess differences related to diagnostic ED subtypes, age, and geography. METHODS: The sample comprised 829 participants, diagnosed with an ED according to DSM-5 criteria from specialized ED units in Europe and Asia. Participants were assessed using the COVID-19 Isolation Scale (CIES). RESULTS: Patients with binge eating disorder (BED) experienced the highest impact on weight and ED symptoms in comparison with other ED subtypes during lockdown, whereas individuals with other specified feeding and eating disorders (OFSED) had greater deterioration in general psychological functioning than subjects with other ED subtypes. Finally, Asian and younger individuals appeared to be more resilient. CONCLUSIONS: The psychopathological changes in ED patients during the COVID-19 lockdown varied by cultural context and individual variation in age and ED diagnosis. Clinical services may need to target preventive measures and adapt therapeutic approaches for the most vulnerable patients.


Subject(s)
COVID-19/prevention & control , COVID-19/psychology , Feeding and Eating Disorders/psychology , Quarantine/psychology , Social Isolation/psychology , Adolescent , Adult , Asia , Child , Europe , Female , Humans , Internationality , Longitudinal Studies , Male , SARS-CoV-2 , Young Adult
11.
Front Endocrinol (Lausanne) ; 12: 741248, 2021.
Article in English | MEDLINE | ID: covidwho-1526766

ABSTRACT

Background: Hyperglycemia and obesity are associated with a worse prognosis in subjects with COVID-19 independently. Their interaction as well as the potential modulating effects of additional confounding factors is poorly known. Therefore, we aimed to identify and evaluate confounding factors affecting the prognostic value of obesity and hyperglycemia in relation to mortality and admission to the intensive care unit (ICU) due to COVID-19. Methods: Consecutive patients admitted in two Hospitals from Italy (Bologna and Rome) and three from Spain (Barcelona and Girona) as well as subjects from Primary Health Care centers. Mortality from COVID-19 and risk for ICU admission were evaluated using logistic regression analyses and machine learning (ML) algorithms. Results: As expected, among 3,065 consecutive patients, both obesity and hyperglycemia were independent predictors of ICU admission. A ML variable selection strategy confirmed these results and identified hyperglycemia, blood hemoglobin and serum bilirubin associated with increased mortality risk. In subjects with blood hemoglobin levels above the median, hyperglycemic and morbidly obese subjects had increased mortality risk than normoglycemic individuals or non-obese subjects. However, no differences were observed among individuals with hemoglobin levels below the median. This was particularly evident in men: those with severe hyperglycemia and hemoglobin concentrations above the median had 30 times increased mortality risk compared with men without hyperglycemia. Importantly, the protective effect of female sex was lost in subjects with increased hemoglobin levels. Conclusions: Blood hemoglobin substantially modulates the influence of hyperglycemia on increased mortality risk in patients with COVID-19. Monitoring hemoglobin concentrations seem of utmost importance in the clinical settings to help clinicians in the identification of patients at increased death risk.


Subject(s)
COVID-19/mortality , Glycated Hemoglobin/analysis , Hyperglycemia/epidemiology , Obesity, Morbid/epidemiology , Adult , Aged , Aged, 80 and over , COVID-19/blood , COVID-19/epidemiology , Comorbidity , Female , Hospital Mortality , Humans , Hyperglycemia/blood , Incidence , Italy , Male , Middle Aged , Obesity, Morbid/blood , Prognosis , Retrospective Studies , Risk , Sex Factors , Spain , Survival Rate
12.
Clin Microbiol Infect ; 27(11): 1685-1692, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1345291

ABSTRACT

OBJECTIVES: The effect of the use of immunomodulatory drugs on the risk of developing hospital-acquired bloodstream infection (BSI) in patients with COVID-19 has not been specifically assessed. We aim to identify risk factors for, and outcomes of, BSI among hospitalized patients with severe COVID-19 pneumonia. METHODS: We performed a severity matched case-control study (1:1 ratio) nested in a large multicentre prospective cohort of hospitalized adults with COVID-19. Cases with BSI were identified from the cohort database. Controls were matched for age, sex and acute respiratory distress syndrome. A Cox proportional hazard ratio model was performed. RESULTS: Of 2005 patients, 100 (4.98%) presented 142 episodes of BSI, mainly caused by coagulase-negative staphylococci, Enterococcus faecalis and Pseudomonas aeruginosa. Polymicrobial infection accounted for 23 episodes. The median time from admission to the first episode of BSI was 15 days (IQR 9-20), and the most frequent source was catheter-related infection. The characteristics of patients with and without BSI were similar, including the use of tocilizumab, corticosteroids, and combinations. In the multivariate analysis, the use of these immunomodulatory drugs was not associated with an increased risk of BSI. A Cox proportional hazard ratio (HR) model showed that after adjusting for the time factor, BSI was associated with a higher in-hospital mortality risk (HR 2.59; 1.65-4.07; p < 0.001). DISCUSSION: Hospital-acquired BSI in patients with severe COVID-19 pneumonia was uncommon and the use of immunomodulatory drugs was not associated with its development. When adjusting for the time factor, BSI was associated with a higher mortality risk.


Subject(s)
Bacteremia , COVID-19 Drug Treatment , COVID-19 , Cross Infection , Immunomodulation , Adult , Bacteremia/drug therapy , Bacteremia/epidemiology , COVID-19/epidemiology , Case-Control Studies , Cross Infection/drug therapy , Cross Infection/epidemiology , Hospitals , Humans , Prospective Studies , Risk Factors , Spain/epidemiology
13.
BMJ Open ; 10(8): e038957, 2020 08 20.
Article in English | MEDLINE | ID: covidwho-1228875

ABSTRACT

INTRODUCTION: Community-acquired pneumonia (CAP) continues to be a major health problem worldwide and is one of the main reasons for prescribing antibiotics. However, the causative agent is often not identified, resulting in antibiotic overtreatment, which is a key driver of antimicrobial resistance and adverse events. We aim to test the hypothesis that comprehensive molecular testing, compared with routine microbiological testing, would be effective in reducing antibiotic use in patients with CAP. METHODS AND ANALYSIS: We will perform a randomised, controlled, open-label clinical trial with two parallel groups (1:1) at two tertiary hospitals between 2020 and 2022. Non-severely immunosuppressed adults hospitalised for CAP will be considered eligible. Patients will be randomly assigned to receive either the experimental diagnosis (comprehensive molecular testing plus routine microbiological testing) or standard diagnosis (only microbiological routine testing). The primary endpoint will be antibiotic consumption measured as days of antibiotic therapy per 1000 patient-days. Secondary endpoints will be de-escalation to narrower antibiotic treatment, time to switch from intravenous to oral antibiotics, days to reaching an aetiological diagnosis, antibiotic-related side effects, length of stay, days to clinical stability, intensive care unit admission, days of mechanical ventilation, hospital readmission up to 30 days after randomisation and death from any cause by 48 hours and 30 days after randomisation. We will need to include 440 subjects to be able to reject the null hypothesis that both groups have equal days of antibiotic therapy per 1000 patient-days with a probability >0.8. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Ethics Committee of Bellvitge Hospital (AC028/19) and from the Spanish Medicines and Medical Devices Agency, and it is valid for all participating centres under existing Spanish legislation. Results will be presented at international meetings and will be made available to patients, their caregivers and funders. TRIAL REGISTRATION NUMBER: ClinicalTrials: NCT04158492. EudraCT: 2018-004880-29.


Subject(s)
COVID-19 , Pneumonia , Adult , Anti-Bacterial Agents/therapeutic use , Clinical Trials, Phase IV as Topic , Humans , Molecular Diagnostic Techniques , Pneumonia/drug therapy , Randomized Controlled Trials as Topic , SARS-CoV-2
14.
Cancer Rep (Hoboken) ; 4(4): e1358, 2021 08.
Article in English | MEDLINE | ID: covidwho-1114161

ABSTRACT

BACKGROUND: Clinical outcomes of novel coronavirus 2019 disease (COVID-19) in onco-hematological patients are unknown. When compared to non-immunocompromised patients, onco-hematological patients seem to have higher mortality rates. AIMS: We describe the characteristics and outcomes of a consecutive cohort of 24 onco-hematological patients with COVID-19 during the first month of the pandemic. We also describe variations in healthcare resource utilization within our hematology department. METHODS AND RESULTS: Data from patients between the first month of the pandemic were retrospectively collected. Clinical and logistic data were also collected and compared with the average values from the prior 3 months of activity. Prevalence of COVID-19 in our hematological population was 0.4%. Baseline characteristics were as follows: male sex: 83%, lymphoid diseases: 46%, median age: 69 (22-82) years. Median follow-up in survivors was 14 (9-28) days and inpatient mortality rate was 46%. Average time to moderate/severe respiratory insufficiency and death were 3 (1-10) and 10 (3-18) days, respectively. Only 1 out of every 12 patients who developed moderate to severe respiratory insufficiency recovered. Upon univariate analysis, the following factors were associated with higher mortality: age ≥ 70 years (P = .01) and D-dimer ≥900 mcg/L (P = .04). With respect to indirect effects during the COVID-19 pandemic, and when compared with the prior 3 months of activity, inpatient mortality (excluding patients with COVID-19 included in the study) increased by 56%. This was associated with a more frequent use of vasoactive drugs (+300%) and advanced respiratory support (+133%) in the hematology ward. In the outpatient setting, there was a reduction in initial visits (-55%) and chemotherapy sessions (-19%). A significant increase in phone visits was reported (+581%). CONCLUSION: COVID-19 pandemic is associated with elevated mortality in hematological patients. Negative indirect effects are also evident within this setting.


Subject(s)
Antineoplastic Agents/therapeutic use , Antiviral Agents/therapeutic use , COVID-19/complications , Hematologic Neoplasms/mortality , SARS-CoV-2/isolation & purification , Adult , Aged , Aged, 80 and over , COVID-19/transmission , COVID-19/virology , Drug Therapy, Combination , Female , Hematologic Neoplasms/drug therapy , Hematologic Neoplasms/epidemiology , Hematologic Neoplasms/virology , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Spain/epidemiology , Survival Rate , Young Adult , COVID-19 Drug Treatment
15.
Eur Eat Disord Rev ; 28(6): 871-883, 2020 11.
Article in English | MEDLINE | ID: covidwho-1005731

ABSTRACT

Confinement during the COVID-19 pandemic is expected to have a serious and complex impact on the mental health of patients with an eating disorder (ED) and of patients with obesity. The present manuscript has the following aims: (1) to analyse the psychometric properties of the COVID Isolation Eating Scale (CIES), (2) to explore changes that occurred due to confinement in eating symptomatology; and (3) to explore the general acceptation of the use of telemedicine during confinement. The sample comprised 121 participants (87 ED patients and 34 patients with obesity) recruited from six different centres. Confirmatory Factor Analyses (CFA) tested the rational-theoretical structure of the CIES. Adequate goodness-of-fit was obtained for the confirmatory factor analysis, and Cronbach alpha values ranged from good to excellent. Regarding the effects of confinement, positive and negative impacts of the confinement depends of the eating disorder subtype. Patients with anorexia nervosa (AN) and with obesity endorsed a positive response to treatment during confinement, no significant changes were found in bulimia nervosa (BN) patients, whereas Other Specified Feeding or Eating Disorder (OSFED) patients endorsed an increase in eating symptomatology and in psychopathology. Furthermore, AN patients expressed the greatest dissatisfaction and accommodation difficulty with remote therapy when compared with the previously provided face-to-face therapy. The present study provides empirical evidence on the psychometric robustness of the CIES tool and shows that a negative confinement impact was associated with ED subtype, whereas OSFED patients showed the highest impairment in eating symptomatology and in psychopathology.


Subject(s)
COVID-19/prevention & control , Feeding and Eating Disorders/epidemiology , Obesity/epidemiology , Social Isolation/psychology , Adolescent , Adult , Aged , Factor Analysis, Statistical , Female , Humans , Male , Middle Aged , Psychiatric Status Rating Scales , Psychometrics , Spain/epidemiology , Young Adult
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