Expression and significance of procalcitonin, leukotriene B4, serum amyloid A, and C-reactive protein in children with different types of pneumonia: An observational study.

This study aimed to investigate the expression and significance of serum procalcitonin (PCT), leukotriene B4 (LTB4), Serum amyloid A (SAA), and C-reactive protein (CRP) in children with different types of pneumonia caused by different pathogenic infections. One hundred and one children with pneumonia admitted to The Fifth People Hospital of Zhuhai from July 2019 to June 2020 were enrolled and divided into 38 cases in the bacterial group, 30 cases in the mycoplasma group, and 33 cases in the virus group according to the different types of pathogens. The patients were divided into 42 cases in the noncritical group, 33 cases in the critical group, and 26 cases in the very critical group according to the pediatric clinical illness score (PCIS), and 30 healthy children were selected as the control group during the same period. Comparison of serum PCT, SAA: bacterial group > mycoplasma group > viral group > control group with significant differences (P < .05). Receiver operator characteristic (ROC) analysis showed that the area under the curves (AUCs) of serum PCT, LTB4, SAA, and CRP for the diagnosis of bacterial pneumonia were 1.000, 0.531, 0.969, and 0.833, respectively, and the AUCs for the diagnosis of mycoplasma pneumonia were 0.653, 0.609, 0.547, and 0.652, respectively, and the AUCs for the diagnosis of viral pneumonia were 0.888, 0.570, 0.955, and 1.000, respectively. Comparison of serum PCT, LTB4, SAA: very critical group > critical group > noncritical group > control group, with significant differences (P < .05). Serum PCT, LTB4, and SAA were negatively correlated with PCIS score by Pearson analysis (P < .05). Serum PCT and SAA showed diagnostic value for bacterial pneumonia, and serum SAA and CRP showed diagnostic value for viral pneumonia; serum PCT, LTB4, and SAA correlate with severity of disease and show higher expression with worsening of the condition.

Desorption Separation Ionization Mass Spectrometry (DSI-MS) for Rapid Analysis of COVID-19.

During the coronavirus disease 2019 (COVID-19) pandemic, which has witnessed over 772 million confirmed cases and over 6 million deaths globally, the outbreak of COVID-19 has emerged as a significant medical challenge affecting both affluent and impoverished nations. Therefore, there is an urgent need to explore the disease mechanism and to implement rapid detection methods. To address this, we employed the desorption separation ionization (DSI) device in conjunction with a mass spectrometer for the efficient detection and screening of COVID-19 urine samples. The study encompassed patients with COVID-19, healthy controls (HC), and patients with other types of pneumonia (OP) to evaluate their urine metabolomic profiles. Subsequently, we identified the differentially expressed metabolites in the COVID-19 patients and recognized amino acid metabolism as the predominant metabolic pathway involved. Furthermore, multiple established machine learning algorithms validated the exceptional performance of the metabolites in discriminating the COVID-19 group from healthy subjects, with an area under the curve of 0.932 in the blind test set. This study collectively suggests that the small-molecule metabolites detected from urine using the DSI device allow for rapid screening of COVID-19, taking just three minutes per sample. This approach has the potential to expand our understanding of the pathophysiological mechanisms of COVID-19 and offers a way to rapidly screen patients with COVID-19 through the utilization of machine learning algorithms.

Prolonged viral pneumonia and high mortality in COVID-19 patients on anti-CD20 monoclonal antibody therapy.

PURPOSE: In clinical practice, we observed an apparent overrepresentation of COVID-19 patients on anti-CD20 monoclonal antibody therapy. The aim of this study was to characterize the clinical picture of COVID-19 in these patients. METHODS: All adult patients from Turku University Hospital, Turku, Finland, with COVID-19 diagnosis and/or positive SARS-CoV-2 PCR test result up to March 2023, and with anti-CD20 therapy within 12 months before COVID-19 were included. Data was retrospectively obtained from electronic patient records. RESULTS: Ninety-eight patients were identified. 44/93 patients (47.3%) were hospitalized due to COVID-19. Patients with demyelinating disorder (n = 20) were youngest (median age 36.5 years, interquartile range 33-45 years), had less comorbidities, and were least likely to be hospitalized (2/20; 10.0%) or die (n = 0). COVID-19 mortality was 13.3% in the whole group, with age and male sex as independent risk factors. Persistent symptoms were documented in 33/94 patients (35.1%) alive by day 30, in 21/89 patients (23.6%) after 60 days, and in 15/85 after 90 days (17.6%), mostly in patients with haematological malignancy or connective tissue disease. Prolonged symptoms after 60 days predisposed to persistent radiological findings (odds ratio 64.0; 95% confidence interval 6.3-711; p < 0.0001) and persistently positive PCR (odds ratio 45.5, 95% confidence interval 4.0-535; p < 0.0001). Several patients displayed rapid response to late antiviral therapy. CONCLUSION: Anti-CD20 monoclonal antibody therapy is associated with high COVID-19 mortality and with a phenotype consistent with prolonged viral pneumonia. Our study provides rationale for retesting of immunocompromised patients with prolonged COVID-19 symptoms and considering antiviral therapy.

Impulse oscillometry assessment of respiratory function in pediatric patients with a history of COVID-19.

OBJECTIVE: While coronavirus disease 2019 (COVID-19) is generally considered to exhibit a less severe clinical course in children than in adults, studies have demonstrated that respiratory symptoms can endure for more than 3 months following infection in at least one-third of pediatric cases. The present study evaluates the respiratory functions of children aged 3-15 years within 3-6 months of their recovery from COVID-19 using impulse oscillometry (IOS) and compares them with the values of healthy children. METHODS: Included in this prospective cross-sectional study were 63 patients (patient group) aged 3-15 years who contracted COVID-19 between December 2021 and May 2022, as well as 57 healthy children as a control group, matched for age and sex. The demographic, clinical, and laboratory data of the patients were recorded, and respiratory function was assessed based on airway resistance (zR5, zR20, R5-20) and reactance (zX5, zX20, reactance area [AX], resonant frequency [Fres]) using an IOS device. RESULTS: There were no significant differences in the age, weight, height, and body weight z score values of the two groups (p > .05). While the zR5 and R5-20 levels of the patient group were higher (p = .008 and p < .001, respectively) than those of the controls, the zR20, AX, and Fres values did not differ significantly between the groups (p > .05). The parameters indicating the reactance, including zX5 and zX20, were significantly lower in the patient group than in the control group (p = .028 and p < .001, respectively). CONCLUSION: Total and peripheral airway resistances were found to be elevated in children who had recovered from COVID-19 in the preceding 3-6 months.

Biomarkers: Are They Useful in Severe Community-Acquired Pneumonia?

Community acquired pneumonia (CAP) is a prevalent infectious disease often requiring hospitalization, although its diagnosis remains challenging as there is no gold standard test. In severe CAP, clinical and radiologic criteria have poor sensitivity and specificity, and microbiologic documentation is usually delayed and obtained in less than half of sCAP patients. Biomarkers could be an alternative for diagnosis, treatment monitoring and establish resolution. Beyond the existing evidence about biomarkers as an adjunct diagnostic tool, most evidence comes from studies including CAP patients in primary care or emergency departments, and not only sCAP patients. Ideally, biomarkers used in combination with signs, symptoms, and radiological findings can improve clinical judgment to confirm or rule out CAP diagnosis, and may be valuable adjunctive tools for risk stratification, differentiate viral pneumonia and monitoring the course of CAP. While no single biomarker has emerged as an ideal one, CRP and PCT have gathered the most evidence. Overall, biomarkers offer valuable information and can enhance clinical decision-making in the management of CAP, but further research and validation are needed to establish their optimal use and clinical utility.

Viral Pneumonia: From Influenza to COVID-19.

Respiratory viruses are increasingly recognized as a cause of community-acquired pneumonia (CAP). The implementation of new diagnostic technologies has facilitated their identification, especially in vulnerable population such as immunocompromised and elderly patients and those with severe cases of pneumonia. In terms of severity and outcomes, viral pneumonia caused by influenza viruses appears similar to that caused by non-influenza viruses. Although several respiratory viruses may cause CAP, antiviral therapy is available only in cases of CAP caused by influenza virus or respiratory syncytial virus. Currently, evidence-based supportive care is key to managing severe viral pneumonia. We discuss the evidence surrounding epidemiology, diagnosis, management, treatment, and prevention of viral pneumonia.

Risk factors for SARS-CoV-2 pneumonia among renal transplant recipients in Beijing Omicron wave.

The novel coronavirus disease-19 had become an unprecedented global health emergency, quickly expanding worldwide. Omicron (B.1.1.529), as a novel variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was initially identified in South Africa and Botswana. Renal transplant recipients (RTRs) are a special group and are more vulnerable to viral pneumonia. Thus, this study aimed to assess the incidence and risk factors of SARS-CoV-2 pneumonia that occurred in RTRs with Omicron infection. This single-center case-control study enrolled the RTRs who were diagnosed with SARS-CoV-2 infection by the SARS-CoV-2 nucleic acid test, which were divided into two groups according to the imaging features of SARS-CoV-2 pneumonia. The parameters were collected by questionnaires and analyzed using Statistical Product and Service Solutions. A total of 313 RTRs completed the questionnaires, and 131 were enrolled in this study with a mean age of 42.66 years. The incidence of SARS-CoV-2 pneumonia among the enrolled participants was 76.3%. The first symptoms included fever (89.3%), cough (93.1%), and expectoration (81.7%). From the comparison, the parameters such as age, gender, body mass index, lymphocyte count, and the percent of neutrophils and the basic serum creatinine before SARS-CoV-2 infection were significantly different between the two groups (P < 0.05). In multivariate analysis, age and the basic serum creatinine were independent risk factors for developing SARS-CoV-2 pneumonia (P < 0.05). Older RTRs with a high level of serum creatinine before SARS-CoV-2 infection were more at risk of developing SARS-CoV-2 pneumonia. More randomized controlled studies are needed.IMPORTANCEThis study aimed to assess the incidence and the risk factors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia that occurred in renal transplant recipients (RTRs) with Omicron infection. In conclusion, older RTRs with a high level of serum creatinine before SARS-CoV-2 infection were more at risk of developing SARS-CoV-2 pneumonia and should be timely treated, in case of severe pneumonia.

Influenza and Viral Pneumonia.

Influenza and other respiratory viruses are commonly identified in patients with community-acquired pneumonia, hospital-acquired pneumonia, and in immunocompromised patients with pneumonia. Clinically, it is difficult to differentiate viral from bacterial pneumonia. Similarly, the radiological findings of viral infection are in general nonspecific. The advent of polymerase chain reaction testing has enormously facilitated the identification of respiratory viruses, which has important implications for infection control measures and treatment. Currently, treatment options for patients with viral infection are limited but there is ongoing research on the development and clinical testing of new treatment regimens and strategies.

Value of Combined Detection of PCT, CRP, and FIB in Differentiating Viral Infection from Bacterial Infection in Severe Pneumonia.

BACKGROUND: The aim was to explore the value of combined detection of PCT, CRP, and FIB in differentiating severe pneumonia from viral infection and bacterial infection. METHODS: A total of 100 patients with severe pneumonia admitted to Hebei General Hospital from August 2020 to November 2021 were selected as the research objects, including 50 patients with viral pneumonia (as the viral group, n = 50) and 50 patients with bacterial pneumonia (as the bacterial group, n = 50). At the same time, the clinical data of 50 healthy people in the hospital were selected as the healthy group (n = 50). All the subjects in the three groups were tested for PCT, CRP, and FIB. The difference of each index level among the three groups was compared. The diagnostic efficacy of each index for pneumonia was analyzed by drawing receiver operating characteristic curves, and the independent predictors of pneumonia were determined by logistic regression model. RESULTS: There were no statistically significant differences in gender, age, course of disease, body mass index (BMI), and other general data among the three groups (p > 0.05). Compared with the healthy group, the levels of serum PCT, CRP, and FIB in the viral group and the bacterial group were significantly increased, and the levels of serum PCT, CRP, and FIB in the bacterial group were significantly higher than those in the viral group, and the differences were statistically significant (p < 0.05). The positive rates of FIB, CRP, and PCT in bacterial group and viral group were increased in turn, and the differences were statistically significant (p < 0.05), and the positive rates of combined detection in the two groups were significantly higher than the positive rates of single index detection (p < 0.05). Taking etiological examination as the gold standard, the sensitivity (92.59%) and specificity (90.17%) of the three combined detection methods were significantly higher than those of PCT, CRP, and FIB alone. Kappa test showed that the results of the combined detection and etiological examination were in good agreement (Kappa value = 0.847, p < 0.05). ROC curve analysis showed that the AUC of combined prediction of the three was 0.964, which was higher than that of single detection of 0.859, 0.832, and 0.871. Logistic regression analysis showed that serum PCT, CRP, and FIB were independent predictors of bacterial pneumonia, and the differences were statistically significant (p < 0.05). Pearson's correlation analysis showed that FIB level in the bacterial group was positively correlated with PCT and CRP. PCT was positively correlated with CRP. CONCLUSIONS: Compared with viral pneumonia, the levels of serum PCT, CRP, and FIB in patients with bacterial pneumonia are higher. Biochemical indexes can be used as independent predictors for the diagnosis of bacterial pneumonia, and have high diagnostic value. The combined detection of the three has the highest diagnostic efficiency, which is conducive to the clinical differential diagnosis of the early types of pneumonia infection.

Molecular diagnostic approaches for SARS-CoV-2 detection and pathophysiological consequences.

SARS-CoV-2, a novel coronavirus within the Coronaviridae family, is the causative agent behind the respiratory ailment referred to as COVID-19. Operating on a global scale, COVID-19 has led to a substantial number of fatalities, exerting profound effects on both public health and the global economy. The most frequently reported symptoms encompass fever, cough, muscle or body aches, loss of taste or smell, headaches, and fatigue. Furthermore, a subset of individuals may manifest more severe symptoms, including those consistent with viral pneumonitis, which can be so profound as to result in fatalities. Consequently, this situation has spurred the rapid advancement of disease diagnostic technologies worldwide. Predominantly employed in diagnosing COVID-19, the real-time quantitative reverse transcription PCR has been the foremost diagnostic method, effectively detecting SARS-CoV-2 viral RNA. As the pandemic has evolved, antigen and serological tests have emerged as valuable diagnostic tools. Antigen tests pinpoint specific viral proteins of SARS-CoV-2, offering swift results, while serological tests identify the presence of antibodies in blood samples. Additionally, there have been notable strides in sample collection methods, notably with the introduction of saliva-based tests, presenting a non-invasive substitute to nasopharyngeal swabs. Given the ongoing mutations in SARS-CoV-2, there has been a continuous need for genomic surveillance, encompassing full genome sequencing and the identification of new variants through Illumina technology and, more recently, nanopore metagenomic sequencing (SMTN). Consequently, while diagnostic testing methods for COVID-19 have experienced remarkable progress, no test is flawless, and there exist limitations with each technique, including sensitivity, specificity, sample collection, and the minimum viral load necessary for accurate detection. These aspects are comprehensively addressed within this current review.

Uncoupling of the center-to-periphery arterial stiffness gradient and pulse pressure amplification in viral pneumonia infection.

OBJECTIVES: Arterial stiffness is a common manifestation of viral pneumonia infections, including COVID-19. Nevertheless, the relationship between the center-to-periphery arterial stiffness gradient and pulse pressure amplification (PPA) in infectious diseases remains unclear. This study aimed to investigate this relationship utilizing arterial pressure volume index (API) and arterial velocity pulse index (AVI) ratio. METHODS: API/AVI and PPA were measured in 219 participants with COVID-19 and 374 normal participants. Multiple linear regression was used to assess the association of API/AVI and PPA, and restricted cubic spline was used to investigate the non-linear relationship between API/AVI and PPA. Receiver operating characteristic curve (ROC) analysis was used to evaluate the effects of API/AVI in identifying COVID-19 infection and severe stage. RESULTS: There was a significant J-shaped relationship between API/AVI and PPA in COVID-19 group, while a M-shaped relationship was observed in normal group. API/AVI decreased rapidly as PPA decreased until API/AVI decreased slowly at PPA of 1.07, and then API/AVI decreased slowly again at PPA of 0.78. ROC results showed that API/AVI demonstrated excellent accuracy in identifying COVID-19 infection (AUC = 0.781) and a high specificity (84.88%) in identifying severe stage. CONCLUSIONS: There was a J-shaped association between the API/AVI and PPA in viral infected patients, while a M-shaped relationship in the normal participants. API/AVI is better for identifying infected and uninfected patients, with a high specificity in identifying those in severe stages of the disease. The attenuation or reversal of API/AVI may be associated with the loss of PPA coupling.

Condition of the Right Heart in Patients With COVID-19­Associated Pneumonia: Follow-Up During Hospitalization.

Aim      Dynamic assessment of the right heart in patients with COVID-19-associated pneumonia of different severity during regression of the systemic inflammatory response (SIR).Material an methods    This single-center prospective study included 46 patients with the novel coronavirus infection COVID-19 and viral pneumonia according to chest multispiral computed tomography (CT). Laboratory and echocardiographic examinations of patients were performed.Results Based on the results of evaluation with the Clinical Condition Scale (CCS-COVID), patients were divided into two groups: group A, patients with a score from 6 to 9 and group B, patients with a score from 10 to 14. The study results of both groups were evaluated twice: on day 10±2.5 from the onset of symptoms (groups A10 and B10, respectively) and again on day 17±1.8 (groups A17 and B17, respectively). Patients of group B10 had more pronounced SIR (C-reactive protein, 111.38±52.5 mg / l) and a larger volume of ground-glass opacity (38.3±9.6 %). At the first stage, higher values of right ventricular global longitudinal strain (RV GLS) were detected in group B10 compared to group A10 (23.2±4.8 % vs. 19.9±3.5 %, р=0.048). During the regression of SIR intensity and the positive dynamics of CT, lower values of Е / А were observed in group B17 (1.0 [0.98; 1.2]) vs. group А17 (1.4 [1.18; 1.5, p=0.015), and е' / a' in group B17 (0.66 [0.58; 0.85]) vs. 0.95 [0.79; 1.12] in group B17 (p=0.010). Е / А and е' / a' ratios were correlated with total lactate dehydrogenase fraction (r= -0.452 and p=0.006; r= -0.334 and p=0.050, respectively).Conclusion      In patients with severe COVID-19-associated pneumonia during regression of SIR intensity, changes in the parameters that reflected RV diastolic dysfunction were observed.

[Prognostic scale for in-hospital mortality in patients with COVID-19 viral pneumonia]. / Escala pronóstica para mortalidad intrahospitalaria en pacientes con neumonía viral COVID-19.

Background: The COVID-19 pandemic represented a challenge in medical care. A tool would be very useful to establish the prognosis of in-hospital death that is reliable and can be applied to the Mexican population entitled to the IMSS. Objective: To propose a prognostic scale to stratify patients with viral pneumonia COVID-19 in the emergency services. Material and methods: A nested case-control study was conducted in a cohort of patients who were consecutively admitted to the emergency department with viral pneumonia COVID-19. The cases were those patients who died, and the controls were those who were discharged due to health improvement. An association analysis was performed between the variables with significant differences between groups. Subsequently, the association was adjusted using a multivariate logistic regression model, from which the prognostic scale was developed. Results: A total of 70 subjects with COVID-19 were included, 34 cases and 36 controls. Chronic diseases, smoking, severe pulmonary involvement diagnosed by tomography, leukocytosis, and pulse oximetry less than 80% with were associated with in-hospital mortality; Odds Ratio (OR) of >1.1. Vaccination was a protective factor (OR = 0.04, CI95%: 0.01-0.16). A score greater than 3 points on the prognostic scale predicts in-hospital mortality with a specificity of 0.86 and a sensitivity of 0.73. Conclusions: The proposed prognostic scale can be a useful tool in the classification of patients with COVID-19 viral pneumonia in the emergency room services of secondary care level Hospitals.

Introducción: la pandemia por COVID-19 representó un reto en la atención médica. Sería de gran utilidad una herramienta para establecer el pronóstico de muerte intrahospitalaria que sea confiable y pueda aplicarse a la población mexicana derechohabiente del Instituto Mexicano del Seguro Social. Objetivo: proponer una escala pronóstica para estratificar a los pacientes con neumonía viral por COVID-19 en los servicios de urgencias de los hospitales de segundo nivel. Material y métodos: se realizó un estudio de casos y controles anidado en una cohorte de pacientes adultos que fueron admitidos consecutivamente en el servicio de Urgencias con diagnóstico de neumonía viral por COVID-19. Los casos fueron aquellos pacientes que fallecieron y los controles aquellos que fueron egresados de la unidad por mejoría. Se realizó un análisis de asociación ente las variables con diferencias significativas entre ambos grupos, se ajustó la asociación mediante un modelo de regresión logística multivariada a partir del cual se elaboró la escala pronóstica. Resultados: se incluyeron en total 70 personas con COVID-19, 34 casos y 36 controles. Se asociaron a la mortalidad intrahospitalaria: las enfermedades crónicas, el tabaquismo, la afectación pulmonar severa diagnosticada por tomografía, la leucocitosis y la oximetría de pulso menor a 80% con una razón de Momios (RM) de > 1.1. La vacunación fue un factor protector (RM: 0.29, IC95%: 0.11-0.80). Un puntaje mayor a 3 puntos en la escala pronóstica predice la mortalidad intrahospitalaria (sensibilidad: 0.73, especificidad: 0.86). Conclusiones: la escala pronóstica propuesta puede ser una herramienta útil en la clasificación de los pacientes con neumonía viral por COVID-19 en los servicios de urgencias de los hospitales de segundo nivel de atención.

Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.

The Coronavirus Disease 2019 (COVID-19) is transitioning into the endemic phase. Nonetheless, it is crucial to remain mindful that pandemics related to infectious respiratory diseases (IRDs) can emerge unpredictably. Therefore, we aimed to develop and validate a severity assessment model for IRDs, including COVID-19, influenza, and novel influenza, using CT images on a multi-centre data set. Of the 805 COVID-19 patients collected from a single centre, 649 were used for training and 156 were used for internal validation (D1). Additionally, three external validation sets were obtained from 7 cohorts: 1138 patients with COVID-19 (D2), and 233 patients with influenza and novel influenza (D3). A hybrid model, referred to as Hybrid-DDM, was constructed by combining two deep learning models and a machine learning model. Across datasets D1, D2, and D3, the Hybrid-DDM exhibited significantly improved performance compared to the baseline model. The areas under the receiver operating curves (AUCs) were 0.830 versus 0.767 (p = 0.036) in D1, 0.801 versus 0.753 (p < 0.001) in D2, and 0.774 versus 0.668 (p < 0.001) in D3. This study indicates that the Hybrid-DDM model, trained using COVID-19 patient data, is effective and can also be applicable to patients with other types of viral pneumonia.

Impact of viral detection in patients with community-acquired pneumonia: An observational cohort study.

PURPOSE: The presence of a respiratory virus in patients with community-acquired pneumonia (CAP) may have an impact on the bacterial etiology and clinical presentation. In this study we aimed to assess the role of viral infection in the bacterial etiology and outcomes of patients with CAP. METHODS: We performed a retrospective study of all adults hospitalized with CAP between November 2017 and October 2018. Patients were classified according to the presence of viral infection. An unvaried and a multivaried analysis were performed to identify variables associated with viral infection and clinical outcomes. RESULTS: Overall 590 patients were included. A microorganism was documented in 375 cases (63.5%). A viral infection was demonstrated in 118 (20%). The main pathogens were Streptococcus pneumoniae (35.8%), Staphylococcus aureus (2.9%) and influenza virus (10.8%). A trend to a higher rate of S. aureus (p=0.06) in patients with viral infection was observed. Patients with viral infection had more often bilateral consolidation patterns (17.8% vs 10.8%, p=0.04), respiratory failure (59.3% vs 42.8%, p=0.001), ICU admission (17.8% vs 7%, p=0.001) and invasive mechanical ventilation (9.3% vs 2.8%, p=0.003). Risk factors for respiratory failure were chronic lung disease, age >65 years, positive blood cultures and viral infection. Influenza, virus but no other respiratory viruses, was associated with respiratory failure (OR, 3.72; 95% CI, 2.06-6.73). CONCLUSIONS: Our study reinforces the idea that co-viral infection has an impact in the clinical presentation of CAP causing a more severe clinical picture. This impact seems to be mainly due to influenza virus infection.

Evaluation of Severe Acute Respiratory Syndrome surveillance caused by respiratory viruses in a pediatric unit, 2013 to 2019.

OBJECTIVE: To evaluate severe acute respiratory syndrome surveillance in a pediatric unit. METHODS: Descriptive study of reported severe acute respiratory syndrome cases with the detection of respiratory viruses in the nasopharyngeal sample of patients hospitalized between 2013 and 2019, in a reference hospital in the Federal District, Brazil. RESULTS: A total of 269 children had one or more viruses detected, resulting in 280 viruses, of which 152 (54%) were respiratory syncytial virus. The detection of respiratory syncytial virus was higher during the autumn-winter period. Children´s median age was 6.9 months, 156 (58%) were male, 104 (39%) had comorbidity, 197 (73%) required mechanical ventilation, 241 (90%) received antibiotics, and 146 (54%) oseltamivir. There were 19 (7%) deaths. The median time from symptom onset to sample collection was 5 days and the median time from sample collection to final results was 6 days. CONCLUSIONS: The system needs to reduce the time to deliver results so that inappropriate use of antibiotics and antivirals can be avoided. Moreover, the burden of viral pneumonia was relevant and the system must be flexible enough to include emerging viruses in order to be useful in responding to public health emergencies caused by respiratory viruses.

Epidemiología de la COVID-19 entre el personal de centros sanitarios y sociosanitarios del área sanitaria de A Coruña y Cee / COVID-19 epidemiology in health and social health workers in the health area of A Coruña and Cee

Objetivo Desde el comienzo de la pandemia ha sido necesario conocer la evolución epidemiológica del SARS-CoV-2. Es por ello que el objetivo de este estudio fue describir las características de la casuística de la COVID-19 en el personal de centros sanitarios y sociosanitarios del área sanitaria de A Coruña y Cee durante la primera ola epidémica, así como determinar la asociación entre el cuadro clínico y/o la duración del mismo y la condición de repositivizar la RT-PCR. Material y métodos En el periodo de estudio se diagnosticaron 210 casos de COVID-19 entre el personal sanitario y sociosanitario del área sanitaria de A Coruña y Cee. Se llevó a cabo un análisis descriptivo de los factores sociodemográficos, así como la búsqueda de asociación entre el cuadro clínico y la duración de la detección de una RT-PCR positiva. Resultados Las categorías profesionales más afectadas fueron enfermería (33,3%) y auxiliares de enfermería (16,2%). El tiempo medio que los casos tardaron en negativizar la RT-PCR fue de 18,3±9,1 días, con una mediana de 17 días. Se observó que 26 casos (13,8%) volvían a obtener un resultado positivo en alguna RT-PCR posterior, sin cumplir criterios de reinfección. La existencia de manifestaciones cutáneas y artralgias se asoció con la repositivización tras ajustar por edad y sexo (OR=4,6 y OR=6,5; respectivamente). Conclusiones En los profesionales sanitarios diagnosticados con COVID-19 durante la primera ola, los síntomas disnea, manifestaciones cutáneas y artralgias determinaron la repositivización de la RT-PCR tras un resultado negativo previo y sin cumplir criterios de reinfección (AU)

Objective Since the beginning of the pandemic, it has become necessary to know the epidemiological evolution of SARS-CoV-2. Therefore, this study aims to describe the characteristics of the casuistry of COVID-19 in health and social-health workers in the health area of A Coruña and Cee during the first epidemic wave, as well as to determine the association between the clinical profile and/or its duration and the condition of RT-PCR repositivization. Materials and methods During the study period, 210 cases belonging to healthcare and social-healthcare workers from the healthcare area of A Coruña and Cee were diagnosed. A descriptive analysis of sociodemographic factors was carried out, as well as the search for association between the clinical picture and the duration of detection of a positive RT-PCR. Results The most affected categories were nursing (33.3%) and nursing assistants (16.2%). The mean time taken for cases to become RT-PCR negative was 18.3±9.1 days, with a median of 17. It was observed that 26 cases (13.8%) had a positive result in a subsequent RT-PCR, without meeting criteria for reinfection. The existence of skin manifestations and arthralgias was associated with repositivization after adjusting for age and sex (OR=4.6 and OR=6.5, respectively). Conclusions In healthcare professionals diagnosed with COVID-19 during the first wave, symptoms such as dyspnea, skin manifestations and arthralgias led to RT-PCR repositivization after a previous negative result and without meeting criteria for reinfection (AU)

Delivery outcomes in a cohort of pregnant patients with COVID-19 with and without viral pneumonia.

BACKGROUND: Among pregnant people, COVID-19 can lead to adverse outcomes, but the specific pregnancy outcomes that are affected by the disease are unclear. In addition, the effect of the severity of COVID-19 on pregnancy outcomes has not been clearly identified. OBJECTIVE: This study aimed to evaluate the associations between COVID-19 with and without viral pneumonia and cesarean delivery, preterm delivery, preeclampsia, and stillbirth. STUDY DESIGN: We conducted a retrospective cohort study (April 2020-May 2021) of deliveries between 20 and 42 weeks of gestation from US hospitals in the Premier Healthcare Database. The primary outcomes were cesarean delivery, preterm delivery, preeclampsia, and stillbirth. We used a viral pneumonia diagnosis (International Classification of Diseases -Tenth-Clinical Modification codes J12.8 and J12.9) to categorize patients by severity of COVID-19. Pregnancies were categorized into 3 groups: NOCOVID (no COVID-19), COVID (COVID-19 without viral pneumonia), and PNA (COVID-19 with viral pneumonia). Groups were balanced for risk factors by propensity-score matching. RESULTS: A total of 814,649 deliveries from 853 US hospitals were included (NOCOVID: n=799,132; COVID: n=14,744; PNA: n=773). After propensity-score matching, the risks of cesarean delivery and preeclampsia were similar in the COVID group compared with the NOCOVID group (matched risk ratio, 0.97; 95% confidence interval, 0.94-1.00; and matched risk ratio, 1.02; 95% confidence interval, 0.96-1.07; respectively). The risks of preterm delivery and stillbirth were greater in the COVID group than in the NOCOVID group (matched risk ratio, 1.11; 95% confidence interval, 1.05-1.19; and matched risk ratio, 1.30; 95% confidence interval, 1.01-1.66; respectively). The risks of cesarean delivery, preeclampsia, and preterm delivery were higher in the PNA group than in the COVID group (matched risk ratio, 1.76; 95% confidence interval, 1.53-2.03; matched risk ratio, 1.37; 95% confidence interval, 1.08-1.74; and matched risk ratio, 3.33; 95% confidence interval, 2.56-4.33; respectively). The risk of stillbirth was similar in the PNA and COVID group (matched risk ratio, 1.17; 95% confidence interval, 0.40-3.44). CONCLUSION: Within a large national cohort of hospitalized pregnant people, we found that the risk of some adverse delivery outcomes was elevated in people with COVID-19 with and without viral pneumonia, with much higher risks in the group with viral pneumonia.

Early Detection of Aspergillus Species in Lower Respiratory Tract is Associated with Higher Mortality in Viral Community-Acquired Pneumonia: A Multicenter Prospective Cohort Study in China.

PURPOSE: Community-acquired pneumonia (CAP) is a leading cause of adult mortality worldwide and poses a significant global burden. Previous studies have indicated a tendency for viral pneumonia, particularly severe influenza virus pneumonia, to be complicated by Aspergillus superinfection. However, the clinical features and prognostic implications of Aspergillus detection in early-onset viral CAP remain unclear. METHODS: We conducted a prospective multicenter observational cohort study in China involving CAP patients. Adult patients with CAP from six hospitals were enrolled between January 2017 and October 2018. Within 72 h of admission, lower respiratory tract specimens, including sputum and alveolar lavage fluid, were collected. Comprehensive pathogenic testing, utilizing molecular biology techniques, was performed on the collected specimens, encompassing bacteria, atypical pathogens, viruses, and fungi. Patient clinical data were collected through a unified electronic medical record website system. RESULTS: A total of 382 adult CAP patients were included in the study. The viral detection rate was 38% (145/382), with Aspergillus identified in 11.0% (16/145) of viral CAP cases. Mortality among Aspergillus-positive patients was significantly higher (25%, 4/16) compared to Aspergillus-negative patients (5.4%, 7/129) in viral CAP (P = 0.021). Multivariable logistic regression models demonstrated that the presence of Aspergillus at admission might increase the mortality risk in viral CAP [OR (95%CI) = 7.34 (0.92-58.65), P = 0.06]. Furthermore, Aspergillus-positive patients exhibited a significantly lower lymphocyte count than Aspergillus-negative patients (P = 0.047). CONCLUSION: Positive detection of Aspergillus in lower respiratory tract specimens might be associated with higher mortality in early-onset viral CAP. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03093220. Registered retrospectively on 28 March 2017.