Risk Factors For Coronavirus Disease Research Articles

The close association of micronutrients with COVID-19

ObjectivesThe present study was conducted to explore the performance of micronutrients in the prediction and prevention of coronavirus disease 2019 (COVID-19). MethodsThis is an observational case-control study. 149 normal controls (NCs) and 214 COVID-19 patients were included in this study. Fat-soluble and water-soluble vitamins were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, and inorganic elements were detected by inductively coupled plasma-mass spectrometry (ICP-MS) analysis. A logistic regression model based on six micronutrients were constructed using DxAI platform. ResultsMany micronutrients were dysregulated in COVID-19 compared to normal control (NC). 25-Hydroxyvitamin D3 [25(OH)D3], magnesium (Mg), copper (Cu), calcium (Ca) and vitamin B6 (pyridoxic acid, PA) were significantly independent risk factors for COVID-19. The logistic regression model consisted of 25(OH)D3, Mg, Cu, Ca, vitamin B5 (VB5) and PA was developed, and displayed a strong discriminative capability to differentiate COVID-19 patients from NC individuals [area under the receiver operating characteristic curve (AUROC) = 0.901]. In addition, the model had great predictive ability in discriminating mild/normal COVID-19 patients from NC individuals (AUROC = 0.883). ConclusionsOur study showed that micronutrients were associated with COVID-19, and our logistic regression model based on six micronutrients has potential in clinical management of COVID-19, and will be useful for prediction of COVID-19 and screening of high-risk population.

Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis.

The spread of the severe acute respiratory syndrome coronavirus 2 outbreak worldwide has caused concern regarding the mortality rate caused by the infection. The determinants of mortality on a global scale cannot be fully understood due to lack of information. To identify key factors that may explain the variability in case lethality across countries. We identified 21 Potential risk factors for coronavirus disease 2019 (COVID-19) case fatality rate for all the countries with available data. We examined univariate relationships of each variable with case fatality rate (CFR), and all independent variables to identify candidate variables for our final multiple model. Multiple regression analysis technique was used to assess the strength of relationship. The mean of COVID-19 mortality was 1.52 ± 1.72%. There was a statistically significant inverse correlation between health expenditure, and number of computed tomography scanners per 1 million with CFR, and significant direct correlation was found between literacy, and air pollution with CFR. This final model can predict approximately 97% of the changes in CFR. The current study recommends some new predictors explaining affect mortality rate. Thus, it could help decision-makers develop health policies to fight COVID-19.

Clinical manifestations and risk factors for COVID-19 and its severity in patients with hematological malignancies

BackgroundPatients with hematological malignancies (HM) were at a high risk of developing severe disease from coronavirus disease 2019 (COVID-19). We aimed to assess the clinical outcome of COVID-19 in hospitalized patients with HM. MethodsAdult patients with HM who were hospitalized with a laboratory-confirmed COVID-19 between May, 2021 and November, 2022 were retrospectively identified. Primary outcome was respiratory failure requiring mechanical ventilation or mortality within 60 days after hospitalization. We also analyzed associated factors for de-isolation (defined as defervescence with a consecutive serial cycle threshold value > 30) within 28 days. ResultsOf 152 eligible patients, 22 (14.5%) developed respiratory failure or mortality in 60 days. Factors associated with developing respiratory failure that required mechanical ventilation or mortality included receipt of allogeneic hematopoietic stem-cell transplantation (allo-HSCT) (adjusted hazards ratio [aHR], 5.10; 95% confidence interval [CI], 1.64–15.85), type 2 diabetes mellitus (aHR, 2.47; 95% CI, 1.04–5.90), lymphopenia at admission (aHR, 6.85; 95% CI, 2.45–19.15), and receiving <2 doses of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines (aHR, 3.00; 95% CI, 1.19–7.60). Ninety-nine (65.1%) patients were de-isolated in 28 days, against which two hazardous factors were identified: receipt of B-cell depletion therapies within one year prior to COVID-19 (aHR, 0.55, 95% CI, 0.35–0.87) and lymphopenia upon admission (aHR, 0.65; 95% CI, 0.43–1.00). ConclusionWe found a high rate of respiratory failure and mortality among patients with HM who contracted the SARS-CoV-2. Factors associated with developing respiratory failure or mortality in 60 days included receipt of allo-HSCT, type 2 diabetes mellitus and lymphopenia upon admission. Having received ≥2 doses of vaccination conferred protection against clinical progression.

The status of work-related COVID-19 prevention measures and risk factors in hospitals.

Health care workers (HCWs) in hospitals are at risk of infection with coronavirus disease 2019 (COVID-19). Prevention measures are necessary to protect HCWs against COVID-19. This study aimed to determine the status of occupational risk factors and prevention measures for COVID-19 in hospitals. This cross-sectional study was conducted in Iranian hospitals. Based on the results of reviewing the literature and guidelines, two checklists on occupational risk factors and prevention measures for COVID-19 in hospitals were designed and validated. The status of occupational risk factors and prevention measures against COVID-19 in governmental, non-governmental public, private, and military hospitals were determined using designed checklists. Results confirmed the validity of checklists for assessing the status of COVID-19 prevention measures in hospitals. The military hospitals had the lowest mean risk factors compared to other hospitals, but there was no significant difference in occupational risk factors of infection with COVID-19 among governmental, non-governmental public, private, and military hospitals (P-value > 0.05). In the checklist of occupational risk factors of Covid-19, the type of hospital had a significant relationship with the provision and use of personal protective equipment (P-value<0.05). The mean of implementation of prevention measures among all hospitals were not statistically significant difference (P-value > 0.05). The provided checklists could be a suitable tool for monitoring of status of prevention measures for COVID-19 in hospitals. Improving ventilation systems is necessary in most of the hospitals.

Severe acute respiratory syndrome coronavirus 2 infection rate among pediatric patients with respiratory symptoms.

The incidence of coronavirus disease 2019 (COVID-19) in children has been increasing worldwide since the onset of the pandemic. This study examined the risk factors and characteristics of COVID-19 among pediatric patients compared to other respiratory viral infections. This was a prospective cross-sectional study. Patients aged 0-18 years presenting with respiratory symptoms from October 2020 to December 2021 were included. Demographic and clinical data were reviewed. In total, 738 pediatric patients were enrolled. Of these, 48.5% had COVID-19, and 41.3% were infected with another respiratory virus. The COVID-19 incidence increased from 0.5% during the original strain outbreak (October 2020 to March 2021) to 56.5% and 73.4% during the alpha (April to June 2021) and delta (July to December 2021) periods, respectively. Children aged 6-18 years, being female, obesity, exposure to household members with COVID-19, and the delta period were risk factors for COVID-19. Being aged 1-5 years, obesity, shortness of breath, productive cough, and chest pain were associated with COVID-19 pneumonia. Children aged 5-18 years, underlying neurological disease, a history of COVID-19 pneumonia, and the delta period were associated with long COVID. Pediatric COVID-19 patients presenting with respiratory symptoms who are obese or have been exposed to household members with COVID-19 should be tested for COVID-19. COVID-19 patients who are obese, younger than five years old, or who present with shortness of breath, productive cough, or chest pain should be evaluated for pneumonia. COVID-19 patients with a history of COVID-19 pneumonia or underlying neurological disease should receive follow-up for long COVID.

Machine learning versus multivariate logistic regression for predicting severe COVID-19 in hospitalized children with Omicron variant infection.

With the emergence of the Omicron variant, the number of pediatric Coronavirus Disease 2019(COVID-19) cases requiring hospitalization and developing severe or critical illness has significantly increased. Machine learning and multivariate logistic regression analysis were used to predict risk factors and develop prognostic models for severe COVID-19 in hospitalized children with the Omicron variant in this study. Of the 544 hospitalized children including 243 and 301 in the mild and severe groups, respectively. Fever (92.3%) was the most common symptom, followed by cough (79.4%), convulsions (36.8%), and vomiting (23.2%). The multivariate logistic regression analysis showed that age (1-3 years old, odds ratio (OR): 3.193, 95% confidence interval (CI): 1.778-5.733], comorbidity (OR: 1.993, 95%CI:1.154-3.443), cough (OR: 0.409, 95%CI:0.236-0.709), and baseline neutrophil-to-lymphocyte ratio (OR: 1.108, 95%CI: 1.023-1.200), lactate dehydrogenase (OR: 1.993, 95%CI: 1.154-3.443), blood urea nitrogen (OR: 1.002, 95%CI: 1.000-1.003) and total bilirubin (OR: 1.178, 95%CI: 1.005-3.381) were independent risk factors for severe COVID-19. The area under the curve (AUC) of the prediction models constructed by multivariate logistic regression analysis and machine learning (RandomForest + TomekLinks) were 0.7770 and 0.8590, respectively. The top 10 most important variables of random forest variables were selected to build a prediction model, with an AUC of 0.8210. Compared with multivariate logistic regression, machine learning models could more accurately predict severe COVID-19 in children with Omicron variant infection.

Investigation of symptoms and mortality in hypertension patients diagnosed with COVID-19: A retrospective case-control study

It was aimed to determine whether there is a difference in mortality and symptoms between patients, aged 60 years or above, with hypertension (HT) and Coronavirus disease 2019 (COVID-19) infection and those without any chronic disease. The population of the study, which was conducted as a retrospective case-control study, consisted of 2747 HT patients diagnosed with COVID-19 and aged 60 years or above. While 170 patients with HT diagnosis formed the case group, 170 patients without any chronic disease formed the control group from the sample. In this study, the time from diagnosis to death was found to be shorter in the presence of HT in COVID-19 patients, while males diagnosed with COVID-19 had higher rates of intensive care unit admittance, intubation and mortality than females irrespective of HT. The presence of HT was determined not to affect symptoms in patients diagnosed with COVID-19. The most common symptoms were fatigue, cough, body ache, fever, headache, and sore throat in HT and control groups and the symptoms were similar in both groups. Further studies are recommended to reveal the relationship between HT, considered one of the most important risk factors for COVID-19, and adverse outcomes related to COVID-19.

Characteristics of Coronavirus Disease in Allogeneic Hematopoietic Stem Cell Transplantation During the Omicron Wave: A Single-Center Study.

This study aimed to characterize the clinical characteristics, outcomes, and risk factors for coronavirus disease 2019 (COVID-19) in 492 patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) during the Omicron wave. Data were retrospectively collected from patient charts and the electronic medical record systems at the First Affiliated Hospital of Zhejiang University School of Medicine between December 2022 and January 2023. The median follow-up period of the entire cohort was 62 days. Myeloid malignancies (58.5%) and acute lymphocytic leukemia (30.5%) constituted the most common underlying disease. Among the 492 patients, 415, 67, and 10 exhibited mild, moderate, and severe COVID-19, respectively. The incidence of moderate-to-severe COVID-19 was 15.7%. The 60-day overall survival and complete resolution rates were 98.1% and 80.6%, respectively. The risk factors for moderate-to-severe COVID-19 included corticosteroid use within 3 months before diagnosis, <6 months interval between allo-HSCT and COVID-19 diagnosis, and antithymocyte globulin use for graft-versus-host disease prophylaxis. During the Omicron wave, patients with allo-HSCT demonstrated a low COVID-19-related mortality rate and high moderate-to-severe and prolonged disease incidence. Prevention in the early posttransplantation period is critical for allo-HSCT recipients receiving corticosteroids.

The causal relationship between COVID-19 and estimated glomerular filtration rate: a bidirectional Mendelian randomization study

BackgroundPrevious Mendelian studies identified a causal relationship between renal function, as assessed by estimated glomerular filtration rate (eGFR), and severe infection with coronavirus disease 2019 (COVID-19). However, much is still unknown because of the limited number of associated single nucleotide polymorphisms (SNPs) of COVID-19 and the lack of cystatin C testing. Therefore, in the present study, we aimed to determine the genetic mechanisms responsible for the association between eGFR and COVID-19 in a European population.MethodsWe performed bidirectional Mendelian randomization (MR) analysis on large-scale genome-wide association study (GWAS) data; log-eGFR was calculated from the serum levels of creatinine or cystatin C by applying the Chronic Kidney Disease Genetics (CKDGen) Meta-analysis Dataset combined with the UK Biobank (N = 1,004,040) and on COVID-19 phenotypes (122,616 COVID-19 cases and 2,475,240 controls) from COVID19-hg GWAS meta-analyses round 7. The inverse-variance weighted method was used as the main method for estimation.ResultsAnalyses showed that the genetically instrumented reduced log-eGFR, as calculated from the serum levels of creatinine, was associated with a significantly higher risk of severe COVID-19 (odds ratio [OR]: 2.73, 95% confidence interval [CI]: 1.38–5.41, P < 0.05) and significantly related to COVID-19 hospitalization (OR: 2.36, 95% CI: 1.39–4.00, P < 0.05) or infection (OR: 1.24, 95% CI: 1.01–1.53, P < 0.05). The significance of these associations remained when using log-eGFR based on the serum levels of cystatin C as genetically instrumented. However, genetically instrumented COVID-19, regardless of phenotype, was not related to log-eGFR, as calculated by either the serum levels of creatinine or cystatin C.ConclusionsOur findings suggest that genetical predisposition to reduced kidney function may represent a risk factor for COVID-19. However, a consistent and significant effect of COVID-19 on kidney function was not identified in this study.

The death rate of COVID-19 infection in different SARS-CoV-2 variants was related to C-reactive protein gene polymorphisms

The serum level of C-reactive protein (CRP) is a significant independent risk factor for Coronavirus disease 2019 (COVID-19). A link was found between serum CRP and genetic diversity within the CRP gene in earlier research. This study examined whether CRP rs1205 and rs1800947 polymorphisms were associated with COVID-19 mortality among various severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) variants. We genotyped CRP rs1205 and rs1800947 polymorphisms in 2023 deceased and 2307 recovered patients using the polymerase chain reaction-restriction fragment length polymorphism method. There was a significant difference between the recovered and the deceased patients in terms of the minor allele frequency of CRP rs1205 T and rs1800947 G. In all three variants, COVID-19 mortality rates were associated with CRP rs1800947 GG genotype. Furthermore, CRP rs1205 CC and rs1800947 GG genotypes showed higher CRP levels. It was found that the G-T haplotype was prevalent in all SARS-CoV-2 variants. The C–C and C–T haplotypes were statistically significant in Delta and Omicron BA.5 variants, respectively. In conclusion, polymorphisms within the CRP gene may relate to serum CRP levels and mortality among COVID-19 patients. In order to verify the utility of CRP polymorphism correlation in predicting COVID-19 mortality, a replication of these results is needed.

Association between COVID-19 severity and relatively high serum adiponectin levels at the time of admission.

At the beginning of 2020, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to epidemics worldwide. Obesity and visceral fat accumulation have been reported to be independent risk factors for severe COVID-19. Several reports have focused on the levels of adipocytokines/adipokines, including adiponectin (APN), which is exclusively secreted from adipocytes, although the importance of these factors in acute disease conditions remains unclear. Therefore, we investigated the relationship between serum adiponectin levels and COVID-19 severity. Patients with COVID-19 who were admitted to Sumitomo Hospital (Osaka, Japan) from May through October 2021 were included. A total of 107 patients were enrolled in this study. We obtained the anthropometric and clinical laboratory data of the patients at the time of admission and examined the associations between various parameters and COVID-19 severity. The mean period from onset to admission was 6.5 ± 2.8 days. We divided the patients into "non-severe" (mild, moderate-I and moderate-II) (n = 80) and "severe" (n = 27) groups. The "severe" patients were significantly older than "non-severe" patients. Additionally, no significant differences were observed in BMI, sex, or the period from onset to admission. The serum adiponectin levels of "severe" patients at the time of admission were significantly greater than those of "non-severe" patients even after adjusting for age, sex, and BMI. These results suggest that the serum APN levels at the time of admission can predict COVID-19 severity. However, further investigations on the changes in APN levels in acute diseases are needed.

Increased Estimated GFR Is Negatively Associated With the Risk of SARS-CoV-2 Infection and Severe COVID-19 Within Normal to Mildly Decreased Levels: Nested Case-Control Study.

While accumulating evidence indicates chronic kidney disease as a risk factor for coronavirus disease 2019 (COVID-19), the association between normal or mildly decreased kidney function and COVID-19 is unaddressed. Here, we have examined the association of an increase in estimated glomerular filtration rate (eGFR) with the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severe COVID-19 outcomes among patients within normal to mildly decreased kidney function. The patients who participated in both health screenings from period I (2017-2018) to II (2019-2020) were enrolled to our study. All participants were categorized into four groups according to the changes in eGFR stage from period I to II: 1) persistently stage G1, 2) from stage G2 to G1, 3) from stage G1 to G2, 4) persistently stage G2. In addition, the changes in eGFR value were defined by subtracting its value of period I from II. Patients were followed up for SARS-CoV-2 infection from January 1, 2021 to any diagnosis of COVID-19 or December 31, 2021, whichever happened first. In addition, those with SARS-CoV-2 infection were followed-up for one month after diagnosis to analyze severe COVID-19. Adjusted odds ratio (aOR) was calculated using multivariable-adjusted logistic regression. We identified 159,427 patients with and 1,804,798 patients without SARS-CoV-2 infection. The risk of SARS-CoV-2 infection decreased when eGFR stage changed from G2 to G1 (aOR, 0.957; 95% confidence interval [CI], 0.938-0.977) and persistently maintained at G1 (aOR, 0.966; 95% CI, 0.943-0.990), compared with the persistently stage G2 group. In addition, the risk showed an inverse relationship with changes in eGFR value, which was depicted by restricted cubic spline curves. For the overall risk of severe COVID-19, the persistently stage G1 showed the lowest risk (aOR, 0.897; 95% CI, 0.827-0.972), followed by those from stage G1 to G2 (aOR, 0.900; 95% CI, 0.828-0.978) and those from stage G2 to G1 (aOR, 0.931; 95% CI, 0.871-0.995), compared with the persistently stage G2 group. An increase in eGFR was negatively associated with the risk of SARS-CoV-2 infection and severe COVID-19 among normal or mildly decreased kidney function. For severe COVID-19, maintaining higher baseline eGFR may act as a protective factor against its risk.

Risk factors for COVID-19 hospitalization and mortality in patients with chronic kidney disease: a nationwide cohort study.

Several studies have demonstrated an increased risk of severe coronavirus disease 2019 (COVID-19) in chronic kidney disease (CKD) patients. However, few have investigated the impact of CKD stage and dialysis modality. The primary aim of this study was to investigate the association between CKD stage, dialysis modality and risk of severe COVID-19. Secondly, we aimed to study the impact of comorbidities and drugs on the risk of severe COVID-19 in the CKD population. This nationwide observational study was based on data from the Swedish Renal Registry and three other national registries. Patients with non-dialysis CKD stage 3b-5 or dialysis on 1 January 2020 were included and followed until 31 December 2021. The primary outcome was COVID-19 hospitalization; the secondary outcome was COVID-19 mortality. Associations were investigated using logistic regression models, adjusting for confounders. The study population comprised 7856 non-dialysis CKD patients and 4018 dialysis patients. The adjusted odds ratios (aOR) for COVID-19 hospitalization and mortality were highest in the dialysis group [aOR 2.24, 95% confidence interval (CI) 1.79-2.81; aOR 3.10, Cl 95% 2.03-4.74], followed by CKD 4 (aOR 1.33, 95% CI 1.05-1.68; aOR 1.66, Cl 95% 1.07-2.57), as compared with CKD 3b. No difference in COVID-19 outcomes was observed between patients on hemodialysis and peritoneal dialysis. Overall comorbidity burden was one of the strongest risk factors for severe COVID-19 and the risk was also increased in patients prescribed insulin, proton pump inhibitors, diuretics, antiplatelets or immunosuppressants. Worsening CKD stage and comorbidity are independent risk factors for severe COVID-19 in the Swedish CKD population.

SARS-CoV-2 transmission risk for common group activities and settings: a living scoping review.

While the modes of transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are well studied, the risk of transmission in various group settings or activities is less clear. This living scoping review aims to summarize the risk factors of coronavirus disease 2019 (COVID-19) spread in common group activities (e.g. social gatherings) or settings (e.g. schools, hospitals, shared workplaces) to understand the drivers of transmission and to inform a risk assessment profile tool for use of rapid antigen detection tests. We systematically searched electronic databases, MEDLINE and Embase, from January 2019 until February 2022. We included studies that evaluated the risk of SARS-CoV-2 transmission in activities and settings, deemed strategically important to government departments in Ireland, provided by the Department of Health (Ireland) Expert Advisory Group on Rapid Testing. After screening 14 052 records, data from 139 studies were narratively synthesized. The risk was consistently reported as 'high' for large social events (e.g. weddings) and indoor sports, working in healthcare settings and shared workplaces, working/living in residential settings and travelling via public transportation. Most studies were from healthcare settings, with common risk factors including close contact with COVID-19 cases, working in high-risk departments and inappropriate use of personal protective equipment. For other settings and activities, lack of infection prevention and control practices reportedly contributed to infection transmission. The heterogeneity across studies and lack of direct information on dominant variants, preventive measures, vaccination coverage necessitates further research on transmission risk within group activities to inform infection prevention and control measures.

The impact of COVID-19 on a Southern Chinese cohort with neuromyelitis optica spectrum disorders

BackgroundThere are few studies on risk factors for coronavirus disease 2019 (COVID-19) infection in patients with Neuromyelitis Optica Spectrum Disorders (NMOSD). The relationship between NMOSD relapse and COVID-19 needs to be evaluated. The objective of our study is to identify the risk factors of COVID-19 infection and NMOSD relapse among NMOSD patients with COVID-19. MethodA total of 379 NMOSD patients registered in a NMOSD database were included in this case-control study after the end of the COVID-19 quarantine and restriction policies on December 6, 2022 in China. Data were obtained from the database. Additional information was obtained by questionnaires and the Neurology out-patient clinic. The clinical characteristics of NMOSD patients with COVID-19 were described. Risk factors associated with COVID-19 infection and outcome among patients with NMOSD were analyzed. Risk factors associated with relapse in NMOSD patients with COVID-19 were also identified. Results239 (63.1%) NMOSD patients were infected with COVID-19. Patients with NMOSD who were infected with COVID-19, in comparison to those without COVID-19, were younger at the time of interview (median [IQR] age: 43.00 [32.00–55.00] vs 49.50 [35.25–56.00] years, P = 0.029), younger at NMOSD onset (median [IQR] age: 38.00 [27.00–51.00] vs 45.00 [32.00–52.75] years, P = 0.013), had abnormal visual evoked potentials before infection (73.4% vs 54.3% P = 0.029), had lower baseline Activities of Daily Living Scale (ADL) scores (median [IQR] ADL: 14.00 [14.00–16.00] vs 14.00 [14.00–19.00], P = 0.014) or lower baseline modified Rankin Scale (mRS) scores (1.12±0.749 vs 1.33±0.991, P = 0.037), and were less frequently treated with more than 10 mg prednisone or 8 mg methylprednisolone (25.0% vs 36.0%,p = 0.026). All 9 NMOSD patients who had symptomatic cerebral syndrome developed moderate/severe COVID-19. A higher percentage of patients with moderate/severe COVID-19 experienced more than one core clinical NMOSD symptoms (61.5% vs 55.1%, p = 0.044), compared to patients with mild COVID-19. Higher risk of NMOSD relapse among NMOSD patients with COVID-19 was associated with higher Expanded Disability Status Scale (EDSS) scores (median[IQR] EDSS: 2.00 [1.00–3.00] vs 1.50 [1.00–2.25], P = 0.037) and drug treatments disruption (21.6% vs 5.0% P<0.001). ConclusionsNMOSD patients with younger age, lower baseline ADL or mRS had higher incidence of being diagnosed with COVID-19 during pandemic. Glucocorticoid use may decrease the risk of COVID-19. NMOSD patients with symptomatic cerebral syndrome before the COVID-19 pandemic are associated with worse COVID-19 outcomes. Drug treatment disruption may result in relapse among NMOSD patients with COVID-19.

Incidence and risk factors of myocarditis in hospitalized patients with COVID-19 in Germany

Abstract Background In December 2019 first patient cases of pneumonia caused by a previously unknown virus was detected in China. This began the coronavirus disease 2019 (COVID-19)-pandemic with a never seen infectious disease burden and impact on the healthcare systems worldwide. The first severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections in Germany were reported on January 27th, 2020. From this initial cluster (in Bavaria), a sustained transmission of SARS-CoV-2 was followed by a substantial spread of COVID-19 in the German population. Although COVID-19 is frequently accompanied by symptoms like fever, cough, sore throat, malaise, myalgias, and dyspnoea, and the infection affects the lungs primarily, COVID-19 might also lead to acute cardiac, kidney, and liver injury. Cardiac complications, particularly myocarditis, and pericarditis, were associated with SARS-CoV-2 infection. Viral infections are frequent causes of myocarditis, an inflammation of the myocardium, which may result in hospitalization and heart failure and can be followed by sudden cardiac death. Myocarditis as cardiac involvement in COVID-19 infection is well known. Real-world data about incidence in hospitalized COVID-19 patients and risk factors for myocarditis in COVID-19 patients are sparse. Methods We used the German nationwide inpatient sample to analyze all hospitalized patients with confirmed COVID-19-diagnosis in Germany in 2020 and stratified them for myocarditis (source: RDC of the Federal Statistical Office and the Statistical Offices of the federal states, DRG Statistics 2020, own calculations). Results Overall, 176,137 hospitalizations (52.3%males, 53.6%aged≥70years) with confirmed COVID-19-infection were coded in Germany in 2020, and among them, 226 (0.01%) had myocarditis (incidence:1.28 per 1000 hospitalization cases). Absolute numbers of myocarditis increased, while relative numbers decreased with age. COVID-19 patients with myocarditis were younger (64.0 [IQR 43.0/78.0] vs.71.0 [56.0/82.0], P&amp;lt;0.001). In-hospital case fatality was 1.3-fold higher in COVID-19 patients with than without myocarditis (24.3% vs. 18.9%, P=0.012). Myocarditis was independently associated with increased case fatality (OR 1.89 [95%CI 1.33-2.67], P&amp;lt;0.001). Independent risk factors for myocarditis were age&amp;lt;70years (OR 2.36 [95%CI 1.72-3.24], P&amp;lt;0.001), male sex (1.68 [95%CI 1.28-2.23], P&amp;lt;0.001), pneumonia (OR 1.77 [95%CI 1.30-2.42], P&amp;lt;0.001) and multi-systemic inflammatory COVID-19-infection (OR 10.73 [95%CI 5.39-21.39], P&amp;lt;0.001). Conclusion The incidence of myocarditis in hospitalized COVID-19 patients in Germany was 1.28 cases per 1000 hospitalizations in 2020. Risk factors for myocarditis in COVID-19 were young age, male sex, pneumonia, and multi-systemic inflammatory COVID-19 infection. Myocarditis was independently associated with increased case fatality.

Characteristics of Coronavirus Disease in Allogeneic Hematopoietic Stem Cell Transplantation during the Omicron Wave: A Single-Center Study

This study outlined the clinical characteristics, outcomes, and risk factors for coronavirus disease 2019 (COVID-19) of 492 patients with allogeneic hematopoietic stem cell transplantation (allo-HSCT) during the Omicron wave. The median follow-up of the whole cohort was 62 days. The commonest underlying disease were myeloid malignancies (58.5%) and acute lymphocytic leukemia (30.5%). Of the 492 patients, 415, 67, and 10 had mild, moderate, and severe COVID-19, respectively. The incidence of moderate-to-severe COVID-19 was 15.7% (77/492). The 60-day overall survival and complete resolution rates were 98.1% and 80.6%, respectively. Risk factors for moderate-to-severe COVID-19 were corticosteroid use within 3 months before diagnosis (Odds ratio [OR], 2.115; 95% confidence interval [CI], 1.262-3.546; P=0.004), interval between allo-HSCT and coronavirus disease diagnosis &amp;lt;6 months (OR, 2.234; 95% CI, 1.259-3.969; P=0.006), and anti-thymocyte globulin use for graft-versus-host disease prophylaxis (OR, 3.450; 95% CI, 1.040-11.444; P=0.043). In conclusion, during the Omicron wave, patients with allo-HSCT had a low coronavirus disease-related mortality, and there was a high rate of moderate-to-severe disease and prolonged disease. Prevention in the early post-transplantation period is critical for allo-HSCT recipients receiving corticosteroids.

Blood coagulation, risk factors and associated complications in COVID-19 patients in Saudi Arabia: A retrospective cohort study.

A good understanding of the possible risk factors for coronavirus disease 19 (COVID-19) severity could help clinicians in identifying patients who need prioritized treatment to prevent disease progression and adverse outcomes. COVID-19-linked coagulopathy is one of the life-threatening severe acute respiratory syndrome coronavirus 2 infections. Growing evidence indicates a correlation between abnormal coagulation and increased risk of venous thromboembolism; in COVID-19-infected patients, yet a clear understanding of the role of coagulopathy in the severity of COVID-19 illness is still unresolved. This retrospective cohort study was thus undertaken to investigate the role of coagulation dysfunction with COVID-19 mortality/severity. Blood samples from 1000 hospitalized patients with COVID-19 pneumonia were collected. The study participants were both male and female in equal ratios with a mean age of 48.94. Patients were followed-up until discharge either for recovery or death. All biochemical investigations-complete blood count and coagulation profile including D-dimers, prothrombin time, partial prothrombin time, and international normalized ratio was performed in COVID-19 survivors and in non-survivors admitted in intensive care unit. In the survivor group, all coagulation parameters were within normal limits, and 8.7% had a low red blood count. The most common risk factors associated with COVID-19 patients were diabetes mellitus (2.8%), hypertension (10.8%), and heart disease (3%). In the non-survivor group, the coagulation parameters were above the normal range (prothrombin in 31.5%, PTT in 10.5%, international normalized ratio in 26.3%, D-dimer in 36.8%) with thrombocytopenia in 21.04% of patients. Other complications were pulmonary embolism in 21.05% and venous thromboembolism in 15.7% of non-survivors. A significant association was found between increased markers of coagulopathy and the severity of SARS-CoV2 infection. Furthermore, the severity of infection was observed to increase with risk factors such as age, heart disease, hypertension, and DM eventually affecting COVID-19 prognosis and mortality.

Latent toxoplasmosis in COVID-19 patients and link with higher mortality in COVID-19 male patients

BackgroundImmunocompromised patients may be at risk for reactivating the toxoplasmosis infection; therefore, early diagnosis would be highly desirable in these individuals. This study evaluated the possible association between coronavirus disease 2019 (COVID-19) and latent Toxoplasma gondii infection in Guilan province, Iran. Materials and methodsThe study was performed among 210 COVID-19 patients referred to Guilan University of Medical Sciences hospitals in 2022. Peripheral blood samples were taken for serum separation, collected into tubes, and kept at − 20 °C until use. Blood samples were obtained from COVID-19 patients. IgG antibody to Toxoplasma gondii was detected by a commercial ELISA kit. Accordingly, IgG absorbance levels <9 were considered harmful, 9–11 was considered borderline, and >11 was positive. ResultsToxoplasma IgG antibodies were found in 73.9 % of patients with COVID-19 in male patients. The seroprevalence of Toxoplasma in dead and lived COVID-19 male patients was 83.3 % and 66.7 %, respectively, and this difference was significant.A present study found a significant correlation between the rising titer of Toxoplasma IgG and the severity of COVID-19. There was no significant difference between the hospitalization duration factor and the seropositivity rate. ConclusionRegarding the significant association between the rising titer of Toxoplasma IgG and the severity of COVID-19. The findings demonstrated an association between the severity and mortality rate of COVID-19 with higher titer Anti-Toxoplasma IgG antibodies. Toxoplasmosis is currently considered a risk factor for COVID-19.

Breakthrough COVID-19 After Tixagevimab/Cilgavimab Among Patients With Systemic Autoimmune Rheumatic Diseases.

To determine the incidence and baseline factors associated with breakthrough coronavirus disease 2019 (COVID-19) after preexposure prophylaxis (PrEP) with tixagevimab/cilgavimab among patients with systemic autoimmune rheumatic diseases (SARDs). We performed a retrospective cohort study among patients with SARDs who received tixagevimab/cilgavimab between January 2, 2022, and November 16, 2022. The primary outcome was breakthrough COVID-19 after tixagevimab/cilgavimab. We performed multivariable Cox regression models adjusted for baseline factors to identify risk factors for breakthrough COVID-19. We identified 444 patients with SARDs who received tixagevimab/cilgavimab (mean age 62.0 years, 78.2% female). There were 83 (18.7%) breakthrough COVID-19 cases (incidence rate 31.5/1000 person-months, 95% CI 24.70-38.24), 7 (1.6%) hospitalizations, and 1 (0.2%) death. Older age was inversely associated with breakthrough COVID-19 (adjusted hazard ratio [aHR] 0.86/10 years, 95% CI 0.75-0.99). Higher baseline spike antibody levels were associated with lower risk of breakthrough COVID-19 (aHR 0.42, 95% CI 0.18-0.99 for spike antibody levels > 200 vs < 0.4 units). CD20 inhibitor users had a similar risk of breakthrough COVID-19 (aHR 1.05, 95% CI 0.44-2.49) compared to conventional synthetic disease-modifying antirheumatic drug (DMARD) users. We found that patients with SARDs had frequent breakthrough COVID-19, but the proportion experiencing severe COVID-19 was low. DMARD type, including CD20 inhibitors, did not significantly affect risk of breakthrough COVID-19. Evidence of prior humoral immunity was protective against breakthrough infection, highlighting the continued need for a multimodal approach to prevent severe COVID-19 as novel PrEP therapies are being developed.