COVID-19-associated lung weakness (CALW): Systematic review and meta-analysis.

OBJECTIVES: To assess mortality and different clinical factors derived from the development of atraumatic pneumothorax (PNX) and/or pneumomediastinum (PNMD) in critically ill patients as a consequence of COVID-19-associated lung weakness (CALW). DESIGN: Systematic review with meta-analysis. SETTING: Intensive Care Unit (ICU). PARTICIPANTS: Original research evaluating patients, with or without the need for protective invasive mechanical ventilation (IMV), with a diagnosis of COVID-19, who developed atraumatic PNX or PNMD on admission or during hospital stay. INTERVENTIONS: Data of interest were obtained from each article and analyzed and assessed by the Newcastle-Ottawa Scale. The risk of the variables of interest was assessed with data derived from studies including patients who developed atraumatic PNX or PNMD. MAIN VARIABLES OF INTEREST: Mortality, mean ICU stay and mean PaO2/FiO2 at diagnosis. RESULTS: Information was collected from 12 longitudinal studies. Data from a total of 4901 patients were included in the meta-analysis. A total of 1629 patients had an episode of atraumatic PNX and 253 patients had an episode of atraumatic PNMD. Despite the finding of significantly strong associations, the great heterogeneity between studies implies that the interpretation of results should be made with caution. CONCLUSIONS: Mortality among COVID-19 patients was higher in those who developed atraumatic PNX and/or PNMD compared to those who did not. The mean PaO2/FiO2 index was lower in patients who developed atraumatic PNX and/or PNMD. We propose grouping these cases under the term COVID-19-associated lung weakness (CALW).

A real-world intelligent system for the diagnosis and triage of COVID-19 in the emergency department

The Coronavirus Disease 2019 (COVID-19) pandemic has had an unprecedented impact on healthcare systems, prompting the need to improve the triaging of patients in the Emergency Department (ED). This could be achieved by automatic analysis of chest X-rays (CXR) using Artificial Intelligence (AI). We conducted a research project to generate and thoroughly document the development process of an intelligent system for COVID-19 diagnosis. This work aims at explaining the problem formulation, data collection and pre-processing, use of base convolutional neural networks to approach our diagnostic problem, the process of network building and how our model was validated to reach the final diagnostic system. Using publicly available datasets and a locally obtained dataset with more than 100,000 potentially eligible CXR images, we developed an intelligent diagnostic system that achieves an average performance of 93% success. Then, we implemented a web-based interface that will allow its use in real-world medical practice, with an average response time of less than 1 second. There were some limitations in the application of the diagnostic system to our local dataset which precluded obtaining high diagnostic performance. Although not all these limitations are straightforward, the most relevant ones are discussed, along with potential solutions. Further research is warranted to overcome the limitations of state-of-the-art AI systems used for the imaging diagnosis of COVID-19 in the ED. [ FROM AUTHOR] Copyright of Signa Vitae is the property of Pharmamed Mado 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.)

Long COVID 12 months after discharge: persistent symptoms in patients hospitalised due to COVID-19 and patients hospitalised due to other causes-a multicentre cohort study.

BACKGROUND: Long-term-specific sequelae or persistent symptoms (SPS) after hospitalisation due to COVID-19 are not known. The aim of this study was to explore the presence of SPS 12 months after discharge in survivors hospitalised due to COVID-19 and compare it with survivors hospitalised due to other causes. METHODS: Prospective cohort study, the Andalusian Cohort of Hospitalised patients for COVID-19 (ANCOHVID study), conducted in 4 hospitals and 29 primary care centres in Andalusia, Spain. The sample was composed of 906 adult patients; 453 patients hospitalised due to COVID-19 (exposed) and 453 hospitalised due to other causes (non-exposed) from March 1 to April 15, 2020, and discharged alive. The main outcomes were (1) the prevalence of SPS at 12 months after discharge and (2) the incidence of SPS after discharge. Outcome data at 12 months were compared between the exposed and non-exposed cohorts. Risk ratios were calculated, and bivariate analyses were performed. RESULTS: A total of 163 (36.1%) and 160 (35.3%) patients of the exposed and non-exposed cohorts, respectively, showed at least one SPS at 12 months after discharge. The SPS with higher prevalence in the subgroup of patients hospitalised due to COVID-19 12 months after discharge were persistent pharyngeal symptoms (p<0.001), neurological SPS (p=0.049), confusion or memory loss (p=0.043), thrombotic events (p=0.025) and anxiety (p=0.046). The incidence of SPS was higher for the exposed cohort regarding pharyngeal symptoms (risk ratio, 8.00; 95% CI, 1.85 to 36.12), confusion or memory loss (risk ratio, 3.50; 95% CI, 1.16 to 10.55) and anxiety symptoms (risk ratio, 2.36; 95% CI, 1.28 to 4.34). CONCLUSIONS: There was a similar frequency of long-term SPS after discharge at 12 months, regardless of the cause of admission (COVID-19 or other causes). Nevertheless, some symptoms that were found to be more associated with COVID-19, such as memory loss or anxiety, merit further investigation. These results should guide future follow-up of COVID-19 patients after hospital discharge.

Long COVID 12 months after discharge: persistent symptoms in patients hospitalised due to COVID-19 and patients hospitalised due to other causes—a multicentre cohort study

Background Long-term-specific sequelae or persistent symptoms (SPS) after hospitalisation due to COVID-19 are not known. The aim of this study was to explore the presence of SPS 12 months after discharge in survivors hospitalised due to COVID-19 and compare it with survivors hospitalised due to other causes. Methods Prospective cohort study, the Andalusian Cohort of Hospitalised patients for COVID-19 (ANCOHVID study), conducted in 4 hospitals and 29 primary care centres in Andalusia, Spain. The sample was composed of 906 adult patients;453 patients hospitalised due to COVID-19 (exposed) and 453 hospitalised due to other causes (non-exposed) from March 1 to April 15, 2020, and discharged alive. The main outcomes were (1) the prevalence of SPS at 12 months after discharge and (2) the incidence of SPS after discharge. Outcome data at 12 months were compared between the exposed and non-exposed cohorts. Risk ratios were calculated, and bivariate analyses were performed. Results A total of 163 (36.1%) and 160 (35.3%) patients of the exposed and non-exposed cohorts, respectively, showed at least one SPS at 12 months after discharge. The SPS with higher prevalence in the subgroup of patients hospitalised due to COVID-19 12 months after discharge were persistent pharyngeal symptoms (p<0.001), neurological SPS (p=0.049), confusion or memory loss (p=0.043), thrombotic events (p=0.025) and anxiety (p=0.046). The incidence of SPS was higher for the exposed cohort regarding pharyngeal symptoms (risk ratio, 8.00;95% CI, 1.85 to 36.12), confusion or memory loss (risk ratio, 3.50;95% CI, 1.16 to 10.55) and anxiety symptoms (risk ratio, 2.36;95% CI, 1.28 to 4.34). Conclusions There was a similar frequency of long-term SPS after discharge at 12 months, regardless of the cause of admission (COVID-19 or other causes). Nevertheless, some symptoms that were found to be more associated with COVID-19, such as memory loss or anxiety, merit further investigation. These results should guide future follow-up of COVID-19 patients after hospital discharge. Supplementary Information The online version contains supplementary material available at 10.1186/s12916-022-02292-6.

Psychological Impact and Risk of Suicide in Hospitalized COVID-19 Patients, During the Initial Stage of the Pandemic: A Cross-Sectional Study.

OBJECTIVES: This study aimed to assess the psychological impact and risk of suicide in patients hospitalized for COVID-19. METHODS: A cross-sectional study was conducted on a representative sample of patients hospitalized for COVID-19 at the "San Cecilio" University Hospital (Granada, Spain) between March and May 2020. Sociodemographic and clinical variables were collected. All participants were evaluated using the Gijon's Social-Familial Evaluation Scale to assess social problems, the Impact of Event Scale-6 and the Hospital Anxiety-Depression Scale to assess psychological impact, the Columbia Suicide Severity and Beck Hopelessness scales to assess risk of suicide, and the List of Threatening Experiences questionnaire to control for confounding bias. RESULTS: Thirty-six COVID-19 patients were evaluated. Of them, 33.3% had a significant psychological impact; 13.9% showed symptoms of anxiety, 13.9% showed symptoms of depression, and 47.2% showed symptoms of anxiety-depression. Moderate and severe risk of suicide were found in 75% and 2.8% of the patients, respectively. Suicidal ideation was observed in 16.7% and suicide behaviors in 5.6% of the patients. Psychological impact was associated with previous psychological treatment, a greater degree of functional dependency, and increased social-familial risk. In addition, the risk of suicide was mainly associated with active treatment of a psychiatric illness and active smoking. No significant correlation was found between psychological impact and risk of suicide. CONCLUSIONS: Psychological impact and risk of suicide were significant in patients admitted for COVID-19. Although the risk of suicide was not associated with increased psychological impact, both should be assessed, especially in patients at higher risk based on significantly associated factors.

Factors associated with readmission to the Emergency Department in a cohort of COVID-19 hospitalized patients

Introduction: The aim of this study was to describe the symptomatology and main factors associated with readmission to the Emergency Department (ED) in COVID-19 patients discharged from hospital during the first wave of the pandemic at the San Cecilio University Hospital, Granada, Spain. Methods: An observational longitudinal study was conducted in a cohort of 441 patients admitted to our hospital with confirmed SARS-CoV-2 polymerase chain reaction (PCR) from 1 March to 15 April 2020. Patients were followed up through medical records 6 months after discharge. Sociodemographic, clinical and symptomatologic variables were collected. Descriptive, bivariate and multivariate logistic regression analyses were performed. Results: The mean age of patients in the cohort was 66.4 years (s = 15.3), with 55.1% men. In-hospital mortality was 18.1%. The presence of persistent symptomatology was high (64.5%), especially respiratory (53.2%), systemic (46.3%) and neurological (31.0%). A total of 75 (20.8%) patients were readmitted to the ED during the 6 months following hospital discharge. The main factors associated with readmission to the ED were polymedication (P = 0.031), living in a care home (P = 0.014), fever (P = 0.047), general malaise (P < 0.001), thoracic pain (P < 0.001), headache (P = 0.012), hematological symptoms (P = 0.011), nephrological symptoms (P = 0.047), depressive symptoms (P = 0.009), syncope or hypotension (P = 0.006) and superinfection (P = 0.018). After multivariate adjustment analysis, thoracic pain (OR: 4.45, 95% CI: 1.88- 10.52), general malaise and hematological symptoms (OR: 3.95, 95% CI: 1.12-13.89) remained as risk factors. Conclusions: The presence of persistent symptomatology after hospital discharge in our cohort was common and varied. Polymedication and living in a care home made up the most vulnerable profile of COVID-19 patients for returning to the ED. Thoracic pain, general malaise and hematological symptoms were identified as potential markers of severity, along with others predictors. These findings might be useful for optimizing follow-up strategies. Future studies conducted in other geographical areas are necessary to corroborate our results. [ FROM AUTHOR] Copyright of Signa Vitae is the property of Pharmamed Mado 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.)

OXA-48 Carbapenemase-Producing Enterobacterales in Spanish Hospitals: An Updated Comprehensive Review on a Rising Antimicrobial Resistance.

Carbapenemase-producing Enterobacterales (CPE) are significant contributors to the global public health threat of antimicrobial resistance. OXA-48-like enzymes and their variants are unique carbapenemases with low or null hydrolytic activity toward carbapenems but no intrinsic activity against expanded-spectrum cephalosporins. CPEs have been classified by the WHO as high-priority pathogens given their association with morbidity and mortality and the scarce number of effective antibiotic treatments. In Spain, the frequency of OXA-48 CPE outbreaks is higher than in other European countries, representing the major resistance mechanism of CPEs. Horizontal transfer of plasmids and poor effective antibiotic treatment are additional threats to the correct prevention and control of these hospital outbreaks. One of the most important risk factors is antibiotic pressure, specifically carbapenem overuse. We explored the use of these antibiotics in Spain and analyzed the frequency, characteristics and prevention of CPE outbreaks. Future antibiotic stewardship programs along with specific preventive measures in hospitalized patients must be reinforced and updated in Spain.

Pneumoperitoneum and COVID-19. A causal association?

We read with great interest the letter from Pérez Naranjo et al. regarding the case we recently published in this journal. We believe that the case presented by the authors is undoubtedly useful as it contributes to the scarce existing casuistry on the relationship between COVID-19 and the development of pneumatosis/pneumoperitoneum. We would like to emphasize the difficulty of determining the causality of this association due to the frequent co-occurrence of other causes that could justify the presence of pneumatosis/pneumoperitoneum.

Therapeutic agents tested in 238 COVID-19 hospitalized patients and their relationship with mortality.

BACKGROUND AND OBJECTIVES: In the last months great efforts have been developed to evaluate the more efficient therapeutic agents in the management of patients with COVID-19. Currently, no specific drug combination has consistently demonstrated an association with mortality. The aim of this study was to assess the pattern of associations observed between the different in-hospital treatments administered to a series of 238 patients admitted for COVID-19 and their relationship with mortality. METHODS: The electronic medical records of patients that discharged or died from COVID-19 in the Hospital Universitario San Cecilio (Granada, Spain) between March 16 and April 10, 2020 were analysed. From these records, information was obtained on sex, age, comorbidities at admission, clinical information, analytical parameters, imaging tests and empirical treatments used. The outcome variable was the in-hospital mortality. To estimate the associations between the different therapeutic alternatives and the risk of mortality, Hazard Ratios adjusted for age, sex, previous pathologies and severity at discharge were estimated using Cox Regression models. RESULTS: The most frequently used combination of drugs was low molecular weight heparins, hydroxychloroquine, and ritonavir/lopinavir. None of the analysed treatments showed independent association with mortality. The drugs that showed a greater inverse association with mortality were tocilizumab and corticoids. CONCLUSIONS: The observed association patterns are consistent with previous literature. It seems necessary to design randomized controlled clinical trials that evaluate the possible protector effect of tocilizumab and corticoids in the risk of mortality for some subgroups of COVID-19 hospitalized patients.

ANTECEDENTES Y OBJETIVO: En los últimos meses se han realizado grandes esfuerzos para evaluar las terapias más eficaces en el manejo de pacientes con COVID-19. Actualmente ninguna combinación ha demostrado de manera consistente una relación clara con la mortalidad. Nuestro objetivo fue valorar el patrón de asociaciones observado entre los distintos tratamientos intrahospitalarios administrados a 238 pacientes ingresados por COVID-19 y la mortalidad. MATERIALES Y MÉTODOS: Se analizaron las historias clínicas electrónicas de aquellos pacientes dados de alta o que fallecieron por COVID-19 entre el 16 de marzo y el 10 de abril de 2020 en el Hospital Universitario San Cecilio (Granada, España). Se obtuvo información sobre sexo, edad, comorbilidades al ingreso, parámetros clínicos, analíticos, pruebas de imagen y tratamientos empíricos empleados. La variable de desenlace fue la mortalidad intrahospitalaria. Para estimar las asociaciones entre los diferentes tratamientos y el riesgo de mortalidad se estimaron, mediante modelos de regresión de Cox, hazard ratio ajustadas por edad, sexo, patologías previas y gravedad al ingreso. RESULTADOS: La combinación de fármacos más frecuentemente empleada fue la formada por heparinade bajo peso molecular (HBPM), hidroxicloroquina y ritonavir/lopinavir. Ninguno de los tratamientos utilizados mostró una asociación independiente con la mortalidad. Los fármacos que mostraron una asociación inversa de mayor magnitud fueron el tocilizumab y los corticoides. CONCLUSIONES: El patrón se asociaciones obtenido es consistente con lo reportado en la bibliografía. Parece oportuno diseñar ensayos aleatorizados que valoren el posible efecto protector de los corticoides y el tocilizumab sobre el riesgo de muerte en algunos subgrupos de pacientes hospitalizados por COVID-19.

[Therapeutic agents tested in 238 COVID-19 hospitalized patients and their relationship with mortality]. / Agentes terapéuticos utilizados en 238 pacientes hospitalizados por COVID-19 y su relación con la mortalidad.

BACKGROUND AND OBJECTIVES: In the last months great efforts have been developed to evaluate the more efficient therapeutic agents in the management of patients with COVID-19. Currently, no specific drug combination has consistently demonstrated an association with mortality. The aim of this study was to assess the pattern of associations observed between the different in-hospital treatments administered to a series of 238 patients admitted for COVID-19 and their relationship with mortality. METHODS: The electronic medical records of patients that discharged or died from COVID-19 in the Hospital Universitario San Cecilio (Granada, Spain) between March 16 and April 10, 2020 were analysed. From these records, information was obtained on sex, age, comorbidities at admission, clinical information, analytical parameters, imaging tests and empirical treatments used. The outcome variable was the in-hospital mortality. To estimate the associations between the different therapeutic alternatives and the risk of mortality, hazard ratios adjusted for age, sex, previous pathologies and severity at discharge were estimated using Cox regression models. RESULTS: The most frequently used combination of drugs was low molecular weight heparins, hydroxychloroquine, and ritonavir/lopinavir. None of the analysed treatments showed independent association with mortality. The drugs that showed a greater inverse association with mortality were tocilizumab and corticoids. CONCLUSIONS: The observed association patterns are consistent with previous literature. It seems necessary to design randomized controlled clinical trials that evaluate the possible protector effect of tocilizumab and corticoids in the risk of mortality for some subgroups of COVID-19 hospitalized patients.

Sociodemographic, clinical and laboratory factors on admission associated with COVID-19 mortality in hospitalized patients: A retrospective observational study.

BACKGROUND: To identify and quantify associations between baseline characteristics on hospital admission and mortality in patients with COVID-19 at a tertiary hospital in Spain. METHODS AND FINDINGS: This retrospective case series included 238 patients hospitalized for COVID-19 at Hospital Universitario Clínico San Cecilio (Granada, Spain) who were discharged or who died. Electronic medical records were reviewed to obtain information on sex, age, personal antecedents, clinical features, findings on physical examination, and laboratory results for each patient. Associations between mortality and baseline characteristics were estimated as hazard ratios (HR) calculated with Cox regression models. Series mortality was 25.6%. Among patients with dependence for basic activities of daily living, 78.7% died, and among patients residing in retirement homes, 80.8% died. The variables most clearly associated with a greater hazard of death were age (3% HR increase per 1-year increase in age; 95%CI 1-6), diabetes mellitus (HR 2.42, 95%CI 1.43-4.09), SatO2/FiO2 ratio (43% HR reduction per 1-point increase; 95%CI 23-57), SOFA score (19% HR increase per 1-point increase, 95%CI 5-34) and CURB-65 score (76% HR increase per 1-point increase, 95%CI 23-143). CONCLUSIONS: The patients residing in retirement homes showed great vulnerability. The main baseline factors that were independently associated with mortality in patients hospitalized for COVID-19 were older age, diabetes mellitus, low SatO2/FiO2 ratio, and high SOFA and CURB-65 scores.