Clinical Outcomes Of COVID-19 Research Articles

Defining the correlates of lymphopenia and independent predictors of poor clinical outcome in adults hospitalized with COVID-19 in Australia

Lymphopenia is a common feature of acute COVID-19 and is associated with increased disease severity and 30-day mortality. Here we aim to define the demographic and clinical characteristics that correlate with lymphopenia in COVID-19 and determine if lymphopenia is an independent predictor of poor clinical outcome. We analysed the ENTER-COVID (Epidemiology of hospitalized in-patient admissions following planned introduction of Epidemic SARS-CoV-2 to highly vaccinated COVID-19 naïve population) dataset of adults (N = 811) admitted for COVID-19 treatment in South Australia in a retrospective registry study, categorizing them as (a) lymphopenic (lymphocyte count < 1 × 109/L) or (b) non-lymphopenic at hospital admission. Comorbidities and laboratory parameters were compared between groups. Multiple regression analysis was performed using a linear or logistic model. Intensive care unit (ICU) patients and non-survivors exhibited lower median lymphocyte counts than non-ICU patients and survivors respectively. Univariate analysis revealed that low lymphocyte counts associated with hypertension and correlated with haemoglobin, platelet count and negatively correlated with urea, creatinine, bilirubin, and aspartate aminotransferase (AST). Multivariate analysis identified age, male, haemoglobin, platelet count, diabetes, creatinine, bilirubin, alanine transaminase, c-reactive protein (CRP) and lactate dehydrogenase (LDH) as independent predictors of poor clinical outcome in COVID-19, while lymphopenia did not emerge as a significant predictor.

Mean Blood Glucose Level During ICU Hospitalization is a Strong Predictor of the Mortality of COVID-19.

To investigate the potential prognostic value of mean blood glucose (MBG) in hospital for prognosis of COVID-19 adult patients in the intensive unit care unit (ICU). A single-site and retrospective study enrolled 107 patients diagnosed as COVID-19 from department of critical care medicine in the Second Xiangya Hospital between October 2022 and June 2023. Demographic information including glucose during ICU hospitalization, comorbidity, clinical data, types of medications and treatment, and clinical outcome were collected. The multivariate logistic and cox regression was used to explore the relationship between blood glucose changes and clinical outcomes of COVID-19 during ICU stay. In total, 107 adult patients confirmed with COVID-19 were included. Multivariate logistic regression results showed an increase in MBG was associated with ICU mortality rate. Compared with normal glucose group (MBG <= 7.8 mmol/L), the risk of ICU mortality, 7-day mortality and 28-day mortality from COVID-19 were significantly increased in high glucose group (MBG >7.8mmol/L). MBG level during ICU hospitalization was strongly correlated to all-cause mortality and co-infection in COVID-19 patients. These findings further emphasize the importance of overall glucose management in severe cases of COVID-19.

Clinical and epidemiological risk factors associated with hospitalization and mortality rate of COVID-19 patients in Banja Luka County: A retrospective observational cohort study on 40,000 patients

ABSTRACT Context: Since beginning of the coronavirus disease (COVID-19) it became clear that severe forms of this infection have primarily affected patients with chronic conditions. Aims: The aim of the study was to explore clinical and epidemiological characteristics associated with COVID 19 outcomes. Settings and Design: The retrospective observational study included 40,692 citizens of Banja Luka County, Bosnia and Herzegovina, who were confirmed as reverse transcriptase polymerase chain reaction (RT-PCR) positive on COVID-19 at a primary healthcare centre from March 2020 to September 2022. Methods and Materials: Epidemiological data were obtained from Web-Medic medical records of patients. The COVID-19 data were obtained from COVID-19 data sheets comprised of patients’ RT-PCR testing forms, surveillance forms for severe acute respiratory syndrome coronavirus-2 status, and a map of their positive and isolated contacts. Statistical Analysis Used: Differences regarding the distributions of patients between groups were analysed using the Pearson chi-square test and Mantel-Haenszel chi-square test for trends, while differences in mean values were compared using an independent sample t-test. Results: The average age of hospitalised patients was significantly higher compared to the age of non-hospitalised patients (P &lt; 0.001). The average age of patients with lethal outcomes was nearly twice as high in comparison to patients with non-lethal outcomes (P &lt; 0.001). Male patients had a higher hospitalization and mortality rate (P &lt; 0.001). The highest hospitalization rate was in patients with chronic renal failure (CRF), diabetes and cardiovascular diseases (CVDs), while the death rate was the highest among patients with CRF and hearth comorbidities. Patients with fatigue and appetite loss had a higher percentage of lethal outcomes. Vaccinated patients had a significantly lower rate of lethal outcome. Conclusions: Clinical symptoms, signs and outcomes, are posing as predictive parameters for further management of COVID-19. Vaccination has an important role in the clinical outcomes of COVID-19.

Comparison of T cells mediated immunity and side effects of mRNA vaccine and conventional COVID-19 vaccines administrated in Jordan

ABSTRACT Various COVID-19 vaccines can affect the immune system. Discrepancies have been noted in immune system characteristics, such as T-lymphocyte levels, between vaccinated and non-vaccinated individuals. This study investigates the variations in immune responses among the four administered COVID-19 vaccines, influencing factors, and clinical outcomes in Jordan. A total of 350 adults, who were at least two doses vaccinated, were interviewed and blood samples were collected for subsequent laboratory analyses. The study involved the quantification of T-cells specifically targeting anti-SARS CoV-2 using Flow cytometry analysis. BNT162b2 (Pfizer) recipients displayed significantly higher CD3+/CD4+ T-helper cell responses (90.84%, 87.46% – 94.22%) compared to non-Pfizer-BioNTech recipients {BBIBP-CorV (Sinopharm) and Sputnik V (Gamaleya Research Institute), then ChAdOx1 nCoV-19 (AstraZeneca)} (83.62%, 77.91% − 89.33%). The CD3+/CD8+ (T cytotoxic) level was notably elevated in non-Pfizer-BioNTech recipients {Sinopharm and Sputnik V then ChAdOx1 nCoV-19 AstraZeneca (73.94%, 69.38% − 78.49%) compared to BNT162b2 (Pfizer) recipients (58.26%, 53.07% − 63.44%). The CD3+ (T-cells) level showed no significant difference between BNT162b2 recipients (73.74%) and non-Pfizer-BioNTech recipients (77.83%), with both types generating T-cells. Comparing two doses of non-Pfizer-BioNTech vaccines with the third dose of BNT162b2 recipients (Pfizer), no difference in the type of immune reaction was observed, with non-Pfizer-BioNTech recipients still stimulating endogenous pathways like cell-mediated cytotoxic effects for cells. All COVID-19 vaccines administered in Jordan were effective, with respect to the total number of T cells. Non-Pfizer-BioNTech had higher in toxic T-cells and Pfizer-BioNTech was higher in helper T-cells that stimulate plasma cells to produce antibodies.

Mitigating COVID-19 Burden in People Experiencing Incarceration: A Systematic Review.

People experiencing incarceration (PEI) have poorer COVID-19 clinical outcomes compared with the general population. Many interventions were implemented in incarceration facilities to mitigate the burden of COVID-19. This systematic review seeks to analyze the effectiveness of these interventions. Twenty-two studies were included. Reduction of the incarcerated population/interfacility transfers, cohorting of new and infectious incarcerated people, mass asymptomatic testing (despite often low uptake), hygiene measures, and prioritization of PEI in vaccine policy had some evidence of effectiveness at reducing transmission and risk of COVID-19 in incarceration facilities. Visitation suspension had conflicting evidence of effectiveness. Studies were of low or medium quality. Inadequate control of confounding variables limited the reliability and validity of conclusions drawn. Many studies relied on retrospective, third-party data. Higher quality research is required.

SARS-CoV-2 Infection-Dependent Modulation in Vital Components of the Serum Profile of Severely SARS-CoV-2 Infected Patients.

COVID-19 modulates many serological biomarkers during the progress of disease severity. The study aimed to determine COVID-19 severity-associated perturbance in the serum profile. A retrospective study including COVID-19-positive individuals (n = 405) was accomplished. The serum profile of COVID-19 participants was mined from laboratory records. Severity-associated alteration in the serum profile was evaluated using Pearson correlation, regression, VCramer, Bayesian posterior VCramer, and bias factor using R-base-RStudio-version-3.3.0 with a significant cut-off of p < 0.05. Significantly different mean ± standard deviation (SD) (highly versus moderately severe) of C-reactive protein (CRP), ferritin, neutrophil-lymphocyte ratio (NLR), D-dimer, platelets, prothrombin time (PT), partial prothrombin time (PTT), troponin 1, lactate dehydrogenase (LDH), aspartate-aminotransferase (AST), alanine aminotransferase (ALT), and AST/ALT ratio was observed (p < 0.001). Highly severe COVID-19 associated with CRP, ferritin, NLR, in D-dimer, PT, PTT, troponin 1, AST/ALT ratio, AST and ALT (adjusted odds ratio (AOR): 1.346, 1.05, 1.46, 1.33, 1.42, 1.23, 4.07, 3.9, 1.24, 1.45, p < 0.001). CRP with ferritin (r = 0.743), NLR (r = 0.77), white blood cells (WBC) (r = 0.8), troponin1 with LDH (r = 0.757), and D-dimer with platelets (r = -0.81) were highly correlated. X2pearson (p < 0.001), VCramer (0.71), Bayesian-VCramer (0.7), and bias-factor (-125) for troponin 1 indicate the strong association of troponin 1 level and with COVID-19 severity. X2pearson (p < 0.001), VCramer (1), Bayesian-VCramer (0.98), and bias-factor (-266.3) for NLR exhibited a very strong association of pathologic conditions with the high severity of the disease. These biomarkers of inflammation (CRP, Ferritin, NLR), coagulation disorders (D-dimer, PT, and PTT) cardiac abnormality (troponin 1), and liver injury (AST/ALT) could be crucial in low-medical resource settings as potential prognosticator/predictors of the COVID-19 severity and clinical outcomes. Moreover, the outcome of this study could be leveraged for the early prediction of disease severity during SARS-CoV or Middle East Respiratory Coronavirus (MERS-CoV) infection.

Effects of the COVID-19 pandemic on people experiencing incarceration: a systematic review

ObjectiveTo assess the effect of the COVID-19 pandemic on people experiencing incarceration (PEI), focusing particularly on clinical outcomes compared with the general population.DesignSystematic review with narrative synthesis in accordance with...

Impact of COVID-19 on pregnancy and fetal outcomes in women with multiple sclerosis

Background: In the general population, maternal COVID-19 is associated with worse maternal and fetal outcomes. Two previous studies have assessed COVID-19 clinical outcomes in pregnant women with multiple sclerosis (MS), but there are no data about maternal and fetal outcomes. Objectives: In this multicenter study, we aimed to assess maternal and fetal outcomes in pregnant women with MS and COVID-19 infection. Methods: We recruited pregnant patients with MS who contracted COVID-19 and were followed up in Italian and Turkish Centers, during 2020–2022. A control group was extracted from a previous Italian cohort. Associations between group (COVID-19 or healthy patients) and clinical outcomes (maternal complications, fetal malformations, and spontaneous abortion) were investigated with a weighted logistic regression where propensity score–based inverse probability of treatment weighting (IPTW) approach was applied for adjusting for difference in baseline confounders. Results: In the multivariable analysis, COVID-19 during pregnancy was associated with a higher risk of maternal complications (odd ratio (OR) = 2.12; 95% confidence interval (CI) = 1.32–3.48; p = 0.002), while it was not associated with higher risk of spontaneous abortion and fetal malformations. Conclusion: Our data indicate that COVID-19 during pregnancy increases the risk of maternal complications, while it seems to have no significant impact on fetal outcomes.

Navigating the waves in Colombia: a cohort study of inpatient care during four COVID-19 waves

IntroductionUnderstanding the intricate dynamics between different waves of the COVID-19 pandemic and the corresponding variations in clinical outcomes is essential for informed public health decision-making. Comprehensive insights into these fluctuations can guide resource allocation, healthcare policies, and the development of effective interventions. This study aimed to compare the characteristics and clinical outcomes of COVID-19 at peak transmission points by including all patients attended during the first four pandemic waves in a referral center in Colombia. Material and methodsIn a prospective observational study of 2733 patients, clinical and demographic data were extracted from the Fundacion Valle de Lili's COVID-19 Registry, focusing on ICU admission, Invasive Mechanical Ventilation (IMV), length of hospital stay, and mortality. ResultsOur analysis unveiled substantial shifts in patient care patterns. Notably, the proportion of patients receiving glucocorticoid therapy and experiencing secondary infections exhibited a pronounced decrease across waves (p < 0.001). Remarkably, there was a significant reduction in ICU admissions (62.83% vs. 51.23% vs. 58.23% vs. 46.70 %, p < 0.001), Invasive Mechanical Ventilation (IMV) usage (39.25% vs. 32.22% vs. 31.22% vs. 21.55 %, p < 0.001), and Length of Hospital Stay (LOS) (9 vs. 8 vs. 8 vs. 8 days, p < 0.001) over the successive waves. Surprisingly, hospital mortality remained stable at approximately 18‒20 % (p > 0.05). Notably, vaccination coverage with one or more doses surged from 0 % during the initial waves to 66.71 % in the fourth wave. ConclusionsOur findings emphasize the critical importance of adapting healthcare strategies to the evolving dynamics of the pandemic. The reduction in ICU admissions, IMV utilization, and LOS, coupled with the rise in vaccination rates, underscores the adaptability of healthcare systems. Hospital mortality's persistence may warrant further exploration of treatment strategies. These insights can inform public health responses, helping policymakers allocate resources effectively and tailor interventions to specific phases of the pandemic.

Comparison of DASH diet score and total antioxidant capacity of diet on serum levels of TMPRSS-2, inflammatory biomarkers, and disease severity in COVID-19 patients: A case-control study.

There is evidence that healthy diets improve the immune system and lessen the severity of infectious diseases such as COVID-19. We have investigated whether the dietary total antioxidant capacity (TAC) and dietary approach to stop hypertension (DASH) score could be associated with the occurrence and clinical outcomes of COVID-19. This case-control study included 120 adults who were admitted to the hospital. Dietary TAC and DASH diet scores were determined by a 138-item semi-quantitative food frequency questionnaire (FFQ). Inflammation-related markers including C-reactive protein (CRP) and transmembrane protease serine 2 (TMPRSS-2) differential were measured. Also, using chest radiology criteria, the severity of the disease was evaluated. The mean CRP values in the lowest and highest tertiles of either dietary TAC or DASH diet scores were 9.44 ± 11.26 and 3.52 ± 4.83 mg/dL (p = .003) or 9.04 ± 11.23 and 4.40 ± 6.23 mg/dL (p = .013), respectively. Individuals with higher dietary TAC were at a lower risk of COVID-19 (OR: 0.06, p < ·0001). Individuals with greater DASH diet scores were also at decreased odds of COVID-19 (OR: 0.12, p < ·0001). No significant associations were found between dietary TAC and DASH diet scores with severity of COVID-19 disease, CRP, or TMPRSS-2 (p > 0.05). The study found that adherence to a diet with higher dietary TAC and DASH diet scores may be protective against COVID-19 and improve outcomes of the disease. More research is needed to corroborate these findings.

Type 2 Diabetes Status, Diabetes Complication Severity Index Scores, and Their Relationship With COVID-19 Severity: A Retrospective Cohort Study of Hospitalized Patients in a Southwest Virginia Health System.

Background Studies have shown that patients with type 2 diabetes mellitus (T2DM) tend to have poorer outcomes associated with COVID-19, including increased rates of hospitalization, ICU admission, need for ventilatory support, and mortality. Methods We performed a retrospective cohort study that included all non-pregnant adult patients who were hospitalized as a result of COVID-19 in a Southwest Virginia health system between March 18, 2020, and August 31, 2022. T2DM status was treated as a binary variable. T2DM severity was assessed using the Diabetes Complications Severity Index (DCSI). Multivariate logistic regression was used to assess the relationship between T2DM status and COVID-19 severity outcomes. Multivariate logistic regression was also used to assess the relationship between DCSI score and COVID-19 severity outcomes among patients with an established diagnosis of T2DM at the time of COVID-19 hospital admission. Results Patients with T2DM had 1.27 times the odds of experiencing a poor COVID-19 clinical outcome (95% CI: 1.13, 1.43) and 1.35 times the odds of in-hospital mortality (95% CI: 1.14, 1.59) compared to patients without diabetes. Among patients with T2DM, increasing DCSI score was significantly associated with increased odds of experiencing a poor COVID-19 clinical outcome and in-hospital mortality. Conclusions Diabetic patients in our sample were at increased odds of experiencing poor COVID-19 clinical outcomes and in-hospital mortality compared to individuals without diabetes. Amongst patients with T2DM, increasing DCSI score was associated with worse COVID-19 outcomes. Clinical decision support tools may be able to utilize DCSI scores as an indicator of COVID-19 severity risk to facilitate decisions regarding treatment aggressiveness and resource allocation.

COVID-19 and outcomes in Chinese peritoneal dialysis patients.

Reports on COVID-19 in peritoneal dialysis (PD) patients are scarce in China. This study aimed to describe the characteristics and outcomes of PD patients with COVID-19 after China abandoned the 'zero-COVID' policy. This single-centre retrospective study included patients receiving PD who underwent testing for COVID-19 infections between 7 December 2022 and 7 January 2023. Outcomes of interest included factors associated with positive COVID-19 testing result and clinical outcomes including COVID-19-related hospitalisation and severe COVID-19, which were analysed using logistic regression analyses. A total of 349 PD patients (male 53.6%, age 49 ± 13 years old) were included, and 235 patients (67.3%) were infected. There were no significant differences between COVID-19 and non-COVID-19 patients other than higher proportion of vaccinated patients and slow transporters in the patients who tested positive for COVID-19 (44.7% vs. 28.1%, p = 0.003; 8.7% vs. 1.8%, p = 0.03, respectively). Multivariate analysis showed COVID-19 was associated with vaccination (odds ratio (OR): 1.71, 95% confidence interval (CI): 1.02-2.86) and slow transport type (compared with average transport type, OR: 4.52, 95% CI: 1.01-20.21). Among the patients with infection, 38 (16.2%) patients were hospitalised, 18 (7.7%) patients had severe disease and 9 (3.8%) patients died. In multivariate logistic analysis, both age (OR: 1.04, 95% CI: 1.01-1.07; OR: 1.06, 95% CI: 1.02-1.11) and hyponatremia (OR: 5.44, 95% CI: 1.63-18.13; OR: 6.50, 95% CI: 1.77-23.85) were independent risk factors for COVID-19-related hospitalisation and severe disease. Although vaccinated patients were more likely to have tested positive for COVID-19 infection, they appeared to have less severe infection and less need for hospitalisation. Patients who were older with a history of hyponatremia were more likely to experience adverse outcomes from COVID-19.

Predicting mortality risk in hospitalized COVID-19 patients: an early model utilizing clinical symptoms

BackgroundDespite global efforts to control the COVID-19 pandemic, the emergence of new viral strains continues to pose a significant threat. Accurate patient stratification, optimized resource allocation, and appropriate treatment are crucial in managing COVID-19 cases. To address this, a simple and accurate prognostic tool capable of rapidly identifying individuals at high risk of mortality is urgently needed. Early prognosis facilitates predicting treatment outcomes and enables effective patient management. The aim of this study was to develop an early predictive model for assessing mortality risk in hospitalized COVID-19 patients, utilizing baseline clinical factors.MethodsWe conducted a descriptive cross-sectional study involving a cohort of 375 COVID-19 patients admitted and treated at the COVID-19 Patient Treatment Center in Military Hospital 175 from October 2021 to December 2022.ResultsAmong the 375 patients, 246 and 129 patients were categorized into the survival and mortality groups, respectively. Our findings revealed six clinical factors that demonstrated independent predictive value for mortality in COVID-19 patients. These factors included age greater than 50 years, presence of multiple underlying diseases, dyspnea, acute confusion, saturation of peripheral oxygen below 94%, and oxygen demand exceeding 5 L per minute. We integrated these factors to develop the Military Hospital 175 scale (MH175), a prognostic scale demonstrating significant discriminatory ability with an area under the curve (AUC) of 0.87. The optimal cutoff value for predicting mortality risk using the MH175 score was determined to be ≥ 3 points, resulting in a sensitivity of 96.1%, specificity of 63.4%, positive predictive value of 58%, and negative predictive value of 96.9%.ConclusionsThe MH175 scale demonstrated a robust predictive capacity for assessing mortality risk in patients with COVID-19. Implementation of the MH175 scale in clinical settings can aid in patient stratification and facilitate the application of appropriate treatment strategies, ultimately reducing the risk of death. Therefore, the utilization of the MH175 scale holds significant potential to improve clinical outcomes in COVID-19 patients.Trial registrationAn independent ethics committee approved the study (Research Ethics Committee of Military Hospital 175 (No. 3598GCN-HDDD; date: October 8, 2021), which was performed in accordance with the Declaration of Helsinki, Guidelines for Good Clinical Practice.

COVID-19 Infection and Clinical Outcomes in Hospitalized Patients With Rheumatoid Arthritis: Insights From the National Inpatient Sample.

Coronavirus-19, primarily a respiratory virus, affects multiple organs and can lead to exacerbation of autoimmune or systemic conditions. Patients with autoimmune diseases, rheumatoid arthritis particularly, are susceptible to infection and complications from COVID-19. RA has become well-associated with COVID-19 infections, but large-scale studies evaluating outcomes among this vulnerable group are limited. For the retrospective analysis, we used the National Inpatient Sample database to compare COVID-19 patients with and without RA. A total of 1,050,040 adult hospitalizations were included in the study between January 1 to December 31, 2020: COVID-19 with RA (n = 21,545; 2.1%) and COVID-19 without RA (n = 1,028,495; 97.9%). The primary outcome was in-hospital mortality. Secondary outcomes included mechanical ventilation requirement, vasopressor use, cardiac arrest, cardiogenic shock, acute kidney injury, acute kidney injury requiring hemodialysis, gastrostomy, tracheostomy, length of stay, health care utilization costs, and disposition. A secondary analysis evaluating in-hospital mortality and mechanical ventilation with respect to age was conducted. COVID-19 patients with RA had significantly increased in-hospital mortality compared to COVID-19 patients without RA (12.9% vs 11.1%, adjusted OR [aOR]: 1.2 [95% CI 1.1-1.3], p < 0.001). This cohort also had significantly increased rates of mechanical ventilation, pressor use, and cardiogenic shock. Given limited large evidence regarding COVID-19 with respect to RA, future research should be focused on this topic to improve outcomes for this subset of patients.

Persistence of circulating CD169+monocytes and HLA-DR downregulation underline the immune response impairment in PASC individuals: the potential contribution of different COVID-19 pandemic waves.

The use of CD169 as a marker of viral infection has been widely discussed in the context of COVID-19, and in particular, its crucial role in the early detection of SARS-CoV-2 infection and its association with the severity and clinical outcome of COVID-19 were demonstrated. COVID-19 patients show relevant systemic alteration and immunological dysfunction that persists in individuals with post-acute sequelae of SARS-CoV-2 infection (PASC). It is critical to implement the characterization of the disease, focusing also on the possible impact of the different COVID-19 waves and the consequent effects found after infection. On this basis, we evaluated by flow cytometry the expression of CD169 and HLA-DR on monocytes from COVID-19 patients and PASC individuals to better elucidate their involvement in immunological dysfunction, also evaluating the possible impact of different pandemic waves. The results confirm CD169 RMFI is a good marker of viral infection. Moreover, COVID-19 patients and PASC individuals showed high percentage of CD169+ monocytes, but low percentage of HLA-DR+ monocytes and the alteration of systemic inflammatory indices. We have also observed alterations of CD169 and HLA-DR expression and indices of inflammation upon different COVID-19 waves. The persistence of specific myeloid subpopulations suggests a role of CD169+ monocytes and HLA-DR in COVID-19 disease and chronic post-infection inflammation, opening new opportunities to evaluate the impact of specific pandemic waves on the immune response impairment and systemic alterations with the perspective to provide new tools to monitoring new variants and diseases associated to emerging respiratory viruses.

Immunosuppressive therapy and COVID-19 infection in patients with NMOSD.

To evaluate whether treated with immunosuppressants in neuromyelitis optica spectrum disorder (NMOSD) shows an effect on the severity and outcomes of COVID-19 Omicron variant. This is a substudy of a single-center clinical trial involving human umbilical cord mesenchymal stem cells (hUC-MSCs) in NMOSD patients. NMOSD patients with hUC-MSCs treatment, NMOSD patients without hUC-MSCs treatment, and matched healthy controls (HC) were included. Demographic information, NMOSD-related clinical features, comorbidities, use of disease-modifying therapy, COVID-19 vaccination status, COVID-19 clinical features, COVID-19 clinical outcomes, and NMOSD-related disease activity were obtained through online questionnaires or phone calls. The majority of NMOSD patients received long-term treatment with mycophenolate mofetil (68.8%) or azathioprine (22.9%), and 50% received oral glucocorticoid. During the epidemic, 97.4% of NMOSD patients infected with COVID-19 had asymptomatic or mild forms, with only two patients (2.6%) requiring hospitalization. None of these patients required tracheal intubation or admission to the intensive care unit. Clinical symptoms were found to be more prevalent in HC groups. Additionally, the HC groups had higher fever-recorded temperatures. NMOSD patients who received hUC-MSCs treatment had shorter disease duration than patients who did not receive hUC-MSCs treatment. Immunosuppressant-treated patients with NMOSD have a similar risk of COVID-19 infection as the general population, but the disease duration is shorter and the clinical symptoms are less severe. Among our NMOSD patients who received hUC-MSCs treatment, COVID-19 outcomes were favorable, with no increased risk of severe COVID-19. Prospective studies on immunotherapies are needed to help determine best treatment practices.

Características e desfechos clínicos de adolescentes infectados por SARS-CoV-2: uma revisão sistemática

ABSTRACT Objective: To verify the COVID-19 clinical characteristics, associated comorbidities, and outcomes in adolescents. Data source: This is a systematic review study based on articles published between 2020 and 2022 in the United States National Library of Medicine - PubMed (MedLine), Virtual Health Library – VHL (LILACS), Science Direct, Web of Science, and Scopus (Elsevier) databases. The study was registered in the International Prospective Register of Systematic Reviews, under No. CRD42022309108. Data synthesis: A total of 1188 studies were identified. After applying the selection criteria, 13 articles were included. Prevalence was 25%; mild cases were predominant; and fever, cough, headache, anosmia, nasal congestion, and ageusia were frequent. Fever and cough were proportionally higher in hospitalized cases: 81 and 68%, respectively. Dyspnea (odds ratio [OR] 6.3; confidence interval 95%[CI] 2.8–14.3), fever (OR 3.8; 95%CI 2.0–7.4), and cough (OR 3.4; 95%CI 2.0–6.0) were associated with severe cases. Up to 28% required intensive care and 38% required mechanical ventilation. Pre-existing comorbidities increased the risk of hospitalization and death. Severe cases were associated with the risk of death (relative risk [RR] 4.6; 95%CI 2.8–7.5). The black, mixed, and indigenous races/skin colors represented risk groups, as well as residents of poorer regions. Conclusions: The review provided a better understanding of the disease profile and may favor the development of public policies, in addition to contributing to the current literature in the field of adolescent health.

Developing deep LSTMs with later temporal attention for predicting COVID-19 severity, clinical outcome, and antibody level by screening serological indicators over time.

The clinical course of COVID-19, as well as the immunological reaction, is notable for its extreme variability. Identifying the main associated factors might help understand the disease progression and physiological status of COVID-19 patients. The dynamic changes of the antibody against Spike protein are crucial for understanding the immune response. This work explores a temporal attention (TA) mechanism of deep learning to predict COVID-19 disease severity, clinical outcomes, and Spike antibody levels by screening serological indicators over time. We use feature selection techniques to filter feature subsets that are highly correlated with the target. The specific deep Long Short-Term Memory (LSTM) models are employed to capture the dynamic changes of disease severity, clinical outcome, and Spike antibody level. We also propose deep LSTMs with a TA mechanism to emphasize the later blood test records because later records often attract more attention from doctors. Risk factors highly correlated with COVID-19 are revealed. LSTM achieves the highest classification accuracy for disease severity prediction. Temporal Attention Long Short-Term Memory (TA-LSTM) achieves the best performance for clinical outcome prediction. For Spike antibody level prediction, LSTM achieves the best permanence. The experimental results demonstrate the effectiveness of the proposed models. The proposed models can provide a computer-aided medical diagnostics system by simply using time series of serological indicators.

Patients hospitalized with active tuberculosis and Covid-19 coinfection: A matched case-control from the Brazilian Covid-19 Registry.

Although control of Covid-19 has improved, the virus continues to cause infections, such as tuberculosis, that is still endemic in many countries, representing a scenario of coinfection. To compare Covid-19 clinical manifestations and outcomes between patients with active tuberculosis infection and matched controls. This is a matched case-control study based on data from the Brazilian Covid-19 Registry, in hospitalized patients aged 18 or over with laboratory confirmed Covid-19 from March 1, 2020, to March 31, 2022. Cases were patients with tuberculosis and controls were Covid-19 patients without tuberculosis. From 13,636 Covid-19, 36 also had active tuberculosis (0.0026%). Pulmonary fibrosis (5.6% vs 0.0%), illicit drug abuse (30.6% vs 3.0%), alcoholism (33.3% vs 11.9%) and smoking (50.0% vs 9.7%) were more common among patients with tuberculosis. They also had a higher frequency of nausea and vomiting (25.0% vs 10.4%). There were no significant differences in in-hospital mortality, mechanical ventilation, need for dialysis and ICU stay. Patients with TB infection presented a higher frequency of pulmonary fibrosis, abuse of illicit drugs, alcoholism, current smoking, symptoms of nausea and vomiting. The outcomes were similar between them.

Interplay between COVID-19 and Secukinumab treatment in Spondylarthritis patients during the omicron surge: a retrospective cohort study

The objective of this retrospective cohort study was to assess the relationship between Corona Disease 2019 (COVID-19) and Secukinumab treatment in patients with Spondylarthritis (SpA) in China during the omicron surge. Researchers retrieved 1018 medical records of Secukinumab-treated patients between January 2020 and January 2023 from the West China Hospital of Sichuan University. Out of these, 190 SpA patients from the rheumatology clinic were selected for the study. Guided phone questionnaires were administered by research staff to collect baseline characteristics, SpA disease status, and COVID-19 clinical outcomes. Cohabitants served as the control group and provided COVID-19 related data. Of the 190 potential SpA patients, 122 (66%) completed the questionnaire via phone, along with 259 cohabitants. 84.4% of SpA patients were diagnosed with Ankylosing Spondylitis (AS), and 15.6% were diagnosed with Psoriatic Arthritis (PsA). The rate of SARS-CoV-2 infection was 83.6% in the Secukinumab group and 88.8% in the cohabitants control group, with no significant difference (OR = 0.684, CI 0.366–1.275). One instance of severe COVID-19 was observed in the Secukinumab group, while two were identified in the cohabitants control group. Patients in the Secukinumab group had less time with fever caused by COVID-19 (p = 0.004). Discontinuing Secukinumab after SARS-CoV-2 infection did not significantly affect the course of COVID-19 or worsen SpA status according to our data. Our study suggests that administering Secukinumab to SpA patients does not increase their susceptibility to contracting SARS-CoV-2, and may have a positive effect on the course of SARS-CoV-2 infection.