scholarly journals COVID-19 Infection With Humoral Immunodeficiency in Midwestern United States

2021 ◽  
Author(s):  
Maaz Jalil ◽  
Julianne Pietras ◽  
Syed Ahmed ◽  
Phuong Daniels ◽  
Robert Hostoffer
Keyword(s):  
Clinical Outcomes ◽  
Retrospective Cohort ◽  
Severe Disease ◽  
Severe Infection ◽  
Antibody Deficiency ◽  
Immune Systems ◽  
Humoral Immunodeficiency ◽  
Severity Scores ◽  
Severe Infections ◽  
Common Variable

Abstract Background: The coronavirus 2019 disease (COVID-19) has infected many individuals worldwide and continues to pose a significant threat to those with weakened immune systems. A paucity of data exists evaluating the clinical outcomes of patients with humoral immunodeficiencies that contract COVID-19. Objective: To describe the clinical outcomes of COVID-19 infections in patients with primary humoral immunodeficiency. Methods: We conducted a retrospective cohort review on 15 patients with a humoral immunodeficiency including Common Variable Immunodeficiency, Specific Antibody Deficiency, or unspecified hypogammaglobulinemia, who contracted COVID-19. Severity scores were determined to evaluate the clinical outcomes of these patients. Results: Of our 15-patient cohort, 33% of individuals with a humoral immunodeficiency infected with COVID-19 had a more severe disease, requiring hospitalization or resulting in death. COVID-19 mortality rate was found to be 7%. All 5 of our patients with more severe infection had at least 1 comorbidity. Conclusion: Within our cohort of humoral immunodeficient patients infected with COVID-19 we found a higher rate of severe infections and worse clinical outcomes.

scholarly journals Cross-sectional observational study of epidemiology of COVID-19 and clinical outcomes of hospitalised patients in North West London during March and April 2020

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e044384
Author(s):  
Guduru Gopal Rao ◽  
Alexander Allen ◽  
Padmasayee Papineni ◽  
Liyang Wang ◽  
Charlotte Anderson ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Clinical Outcomes ◽  
Severe Infection ◽  
Older Age ◽  
Cross Sectional ◽  
North West ◽  
Icu Admission ◽  
Risk Of Death ◽  
Hospitalised Patients ◽  
Increased Risk

ObjectiveThe aim of this paper is to describe evolution, epidemiology and clinical outcomes of COVID-19 in subjects tested at or admitted to hospitals in North West London.DesignObservational cohort study.SettingLondon North West Healthcare NHS Trust (LNWH).ParticipantsPatients tested and/or admitted for COVID-19 at LNWH during March and April 2020Main outcome measuresDescriptive and analytical epidemiology of demographic and clinical outcomes (intensive care unit (ICU) admission, mechanical ventilation and mortality) of those who tested positive for COVID-19.ResultsThe outbreak began in the first week of March 2020 and reached a peak by the end of March and first week of April. In the study period, 6183 tests were performed in on 4981 people. Of the 2086 laboratory confirmed COVID-19 cases, 1901 were admitted to hospital. Older age group, men and those of black or Asian minority ethnic (BAME) group were predominantly affected (p<0.05). These groups also had more severe infection resulting in ICU admission and need for mechanical ventilation (p<0.05). However, in a multivariate analysis, only increasing age was independently associated with increased risk of death (p<0.05). Mortality rate was 26.9% in hospitalised patients.ConclusionThe findings confirm that men, BAME and older population were most commonly and severely affected groups. Only older age was independently associated with mortality.

scholarly journals Clinical, behavioural and social factors associated with racial disparities in COVID-19 patients from an integrated healthcare system in Georgia: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e044052
Author(s):  
Felipe Lobelo ◽  
Alan Bienvenida ◽  
Serena Leung ◽  
Armand Mbanya ◽  
Elizabeth Leslie ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Racial Disparities ◽  
Clinical Outcomes ◽  
Healthcare System ◽  
Retrospective Cohort ◽  
Chronic Obstructive ◽  
Integrated Healthcare ◽  
Icu Admission ◽  
Hospitalised Patients

ObjectivesTo identify sociodemographic, clinical and behavioural drivers of racial disparities and their association with clinical outcomes among Kaiser Permanente Georgia (KPGA) members with COVID-19.DesignRetrospective cohort of patients with COVID-19 seen from 3 March to 29 October 2020. We described the distribution of underlying comorbidities, quality of care metrics, demographic and social determinants of health (SDOH) indicators across race groups. We also described clinical outcomes in hospitalised patients including length of stay, intensive care unit (ICU) admission, readmission and mortality. We performed multivariable analyses for hospitalisation risk among all patients with COVID-19 and stratifyied by race and sex.SettingKPGA, an integrated healthcare system.Participants5712 patients who all had laboratory-confirmed COVID-19. Of them, 57.8% were female, 58.4% black, 29.5% white, 8.5% Hispanic and 3.6% Asian.ResultsBlack patients had the highest proportions of living in neighborhoods under the federal poverty line (12.4%) and in more deprived locations (neighbourhood deprivation index=0.4). Overall, 14.4% (n=827) of this cohort was hospitalised. Asian patients had the highest rates of ICU admission (53.1%) and mechanical ventilation (21.9%). Among all patients, Hispanics (adjusted 1.60, 95% CI (1.08, 2.37)), blacks (1.43 (1.13, 1.83)), age in years (1.03 (1.02, 1.04)) and living in a zip code with high unemployment (1.08 (1.03, 1.13)) were associated with higher odds of hospitalisation. COVID-19 patients with chronic obstructive pulmonary disease (2.59 (1.67, 4.02)), chronic heart failure (1.79 (1.31, 2.45)), immunocompromised (1.77 (1.16, 2.70)), with glycated haemoglobin >8% (1.68 (1.19, 2.38)), depression (1.60 (1.24, 2.06)), hypertension (1.5 (1.21, 1.87)) and physical inactivity (1.25 (1.03, 1.51)) had higher odds of hospitalisation.ConclusionsBlack and Hispanic KPGA patients were at higher odds of hospitalisation, but not mortality, compared with other race groups. Beyond previously reported sociodemographics and comorbidities, factors such as quality of care, lifestyle behaviours and SDOH indicators should be considered when designing and implementing interventions to reduce COVID-19 racial disparities.

scholarly journals Clinical outcomes among COVID-19 patients managed with modern and traditional Siddha medicine -A retrospective cohort study, Chennai, Tamil Nadu, India, 2020

2021 ◽  
Author(s):  
Ramaswamy Meenakumari ◽  
Karuppiah Thangaraj ◽  
Arunachalam Sundaram ◽  
Malayappan Meenakshi Sundaram ◽  
Ponnappan Shanmugapriya ◽  
...  
Keyword(s):  
Cohort Study ◽  
Clinical Outcomes ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Tamil Nadu

scholarly journals Variable immunodeficiency score upfront analytical link (VISUAL), a proposal for combined prognostic score at diagnosis of common variable immunodeficiency

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kissy Guevara-Hoyer ◽  
Adolfo Jiménez-Huete ◽  
Julia Vasconcelos ◽  
Esmeralda Neves ◽  
Silvia Sánchez-Ramón
Keyword(s):  
Common Variable Immunodeficiency ◽  
Severity Score ◽  
Prognostic Score ◽  
Clinical Severity ◽  
Risk Category ◽  
Close Monitoring ◽  
Accurate Identification ◽  
Visual Score ◽  
Severity Scores ◽  
Common Variable

AbstractThe broad and heterogeneous clinical spectrum that characterizes common variable immunodeficiency (CVID) is associated with quite different disease course and prognosis, highlighting the need to develop tools that predict complications. We developed a multianalyte VISUAL score (variable immunodeficiency score upfront analytical link) aimed to predict severity using individual CVID patient data at baseline of a cohort of 50 CVID patients from two different centers in Portugal and Spain. We retrospectively applied VISUAL to the CVID clinical severity scores proposed by Ameratunga and Grimbacher after 15 years follow-up of our cohort. VISUAL score at CVID diagnosis showed adequate performance for predicting infectious and non-infectious severe complications (Cluster B). Compared to switched memory B lymphocyte phenotype alone, VISUAL provided a more accurate identification of clinically meaningful outcome, with significantly higher sensitivity (85% vs 55%, p = 0.01), and negative predictive value (77% vs 58%) and AUC of the ROC curves (0.72 vs 0.64), with optimal cut-off level of 10. For every increase of 1 point in the VISUAL scale, the odds of being in the higher risk category (Cluster B) increased in 1.3 (p = 0.005) for Ameratunga’s severity score and 1.26 (p = 0.004) for Grimbacher’s severity score. At diagnosis of CVID, VISUAL score ≥ 10 showed 8.94-fold higher odds of severe prognosis than below this threshold. Kaplan–Meier estimates for the VISUAL ≥ 10 points showed significantly earlier progression to Cluster B than those with VISUAL < 10 (p = 0.0002). This prognostic laboratory score might allow close monitoring and more aggressive treatment in patients with scores ≥ 10 on a personalized basis approach. Further studies are needed to prospectively validate VISUAL score.

scholarly journals A large-scale investigation into the role of classical HLA loci in multiple types of severe infections, with a focus on overlaps with autoimmune and mental disorders

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ron Nudel ◽  
Rosa Lundbye Allesøe ◽  
Wesley K. Thompson ◽  
Thomas Werge ◽  
Simon Rasmussen ◽  
...  
Keyword(s):  
Autoimmune Disease ◽  
Psychiatric Disorders ◽  
Large Scale ◽  
Viral Infections ◽  
Human Leukocyte ◽  
Severe Infection ◽  
Small Sample ◽  
Disease Etiology ◽  
Hla Alleles ◽  
Severe Infections

Abstract Background Infections are a major disease burden worldwide. While they are caused by external pathogens, host genetics also plays a part in susceptibility to infections. Past studies have reported diverse associations between human leukocyte antigen (HLA) alleles and infections, but many were limited by small sample sizes and/or focused on only one infection. Methods We performed an immunogenetic association study examining 13 categories of severe infection (bacterial, viral, central nervous system, gastrointestinal, genital, hepatitis, otitis, pregnancy-related, respiratory, sepsis, skin infection, urological and other infections), as well as a phenotype for having any infection, and seven classical HLA loci (HLA-A, B, C, DPB1, DQA1, DQB1 and DRB1). Additionally, we examined associations between infections and specific alleles highlighted in our previous studies of psychiatric disorders and autoimmune disease, as these conditions are known to be linked to infections. Results Associations between HLA loci and infections were generally not strong. Highlighted associations included associations between DQB1*0302 and DQB1*0604 and viral infections (P = 0.002835 and P = 0.014332, respectively), DQB1*0503 and sepsis (P = 0.006053), and DQA1*0301 with “other” infections (a category which includes infections not included in our main categories e.g. protozoan infections) (P = 0.000369). Some HLA alleles implicated in autoimmune diseases showed association with susceptibility to infections, but the latter associations were generally weaker, or with opposite trends (in the case of HLA-C alleles, but not with alleles of HLA class II genes). HLA alleles associated with psychiatric disorders did not show association with susceptibility to infections. Conclusions Our results suggest that classical HLA alleles do not play a large role in the etiology of severe infections. The discordant association trends with autoimmune disease for some alleles could contribute to mechanistic theories of disease etiology.

scholarly journals Predicting severe pneumonia in the emergency department: a global study of the Pediatric Emergency Research Networks (PERN)—study protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041093
Author(s):  
Todd Adam Florin ◽  
Daniel Joseph Tancredi ◽  
Lilliam Ambroggio ◽  
Franz E Babl ◽  
Stuart R Dalziel ◽  
...  
Keyword(s):  
Emergency Department ◽  
Prediction Model ◽  
Severe Disease ◽  
Pediatric Emergency ◽  
Global Network ◽  
Clinical Prediction ◽  
Emergency Research ◽  
Research Networks ◽  
Clinical Prediction Model ◽  
Severity Scores

IntroductionPneumonia is a frequent and costly cause of emergency department (ED) visits and hospitalisations in children. There are no evidence-based, validated tools to assist physicians in management and disposition decisions for children presenting to the ED with community-acquired pneumonia (CAP). The objective of this study is to develop a clinical prediction model to accurately stratify children with CAP who are at risk for low, moderate and severe disease across a global network of EDs.Methods and analysisThis study is a prospective cohort study enrolling up to 4700 children with CAP at EDs at ~80 member sites of the Pediatric Emergency Research Networks (PERN; https://pern-global.com/). We will include children aged 3 months to <14 years with a clinical diagnosis of CAP. We will exclude children with hospital admissions within 7 days prior to the study visit, hospital-acquired pneumonias or chronic complex conditions. Clinical, laboratory and imaging data from the ED visit and hospitalisations within 7 days will be collected. A follow-up telephone or text survey will be completed 7–14 days after the visit. The primary outcome is a three-tier composite of disease severity. Ordinal logistic regression, assuming a partial proportional odds specification, and recursive partitioning will be used to develop the risk stratification models.Ethics and disseminationThis study will result in a clinical prediction model to accurately identify risk of severe disease on presentation to the ED. Ethics approval was obtained for all sites included in the study. Cincinnati Children’s Hospital Institutional Review Board (IRB) serves as the central IRB for most US sites. Informed consent will be obtained from all participants. Results will be disseminated through international conferences and peer-reviewed publications. This study overcomes limitations of prior pneumonia severity scores by allowing for broad generalisability of findings, which can be actively implemented after model development and validation.

Sign in / Sign up

Export Citation Format

Share Document