scholarly journals Age-dependent and Independent Symptoms and Comorbidities Predictive of COVID-19 Hospitalization

2020 ◽  
Author(s):  
Yingxiang Huang ◽  
Dina Radenkovic ◽  
Kevin Perez ◽  
Kari Nadeau ◽  
Eric Verdin ◽  
...  
Keyword(s):  
Severe Disease ◽  
Hospital Setting ◽  
Predictive Algorithm ◽  
Disease Phenotypes ◽  
Preventative Measures ◽  
Medical Institutions ◽  
Increased Risk ◽  
Mobility Aid ◽  
Reported Data ◽  
Immunosuppressant Medication

The coronavirus disease 2019 (COVID-19) pandemic, caused by Severe Acute Respiratory Syndrome (SARS)-CoV-2, continues to burden medical institutions around the world by increasing total hospitalization and Intensive Care Unit (ICU) admissions. A better understanding of symptoms, comorbidities and medication used for pre-existing conditions in patients with COVID-19 could help healthcare workers identify patients at increased risk of developing more severe disease. Here, we have used self-reported data (symptoms, medications and comorbidities) from more than 3 million users from the COVID-19 Symptom Tracker app12 to identify previously reported and novel features predictive of patients being admitted in a hospital setting. Despite previously reported association between age and more severe disease phenotypes, we found that patient's age, sex and ethnic group were minimally predictive when compared to patient's symptoms and comorbidities. The most important variables selected by our predictive algorithm were fever, the use of immunosuppressant medication, mobility aid, shortness of breath and fatigue. It is anticipated that early administration of preventative measures in COVID-19 positive patients (COVID+) who exhibit a high risk of hospitalization signature may prevent severe disease progression.

scholarly journals DJ-1Variants in Indian Parkinson’s Disease Patients

2012 ◽  
Vol 33 (3) ◽  
pp. 127-135 ◽  
Author(s):  
Tamal Sadhukhan ◽  
Arindam Biswas ◽  
Shyamal K Das ◽  
Kunal Ray ◽  
Jharna Ray
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Older Patients ◽  
Severe Disease ◽  
Gene Products ◽  
Eastern India ◽  
Deletion Allele ◽  
Disease Phenotypes ◽  
Increased Risk ◽  
Different Populations

Parkinson’s disease (PD) is a common neurodegenerative movement disorder. Among the candidate genes,DJ-1accounts for about 1% of the cases in different populations. We aim to find the contribution of the gene towards PD among Indians. By screeningDJ-1in 308 PD patients of eastern India and 248 ethnically matched controls, a total of 21 nucleotide variants – including two nonsynonymous changes – were detected. p.Arg98Gln was identified in 6 unrelated patients and 2 controls while p.Val35Ile, a novel change, was found only in 2 unrelated patients. A SNP (rs7517357) was observed to be moderately associated with increased risk of PD (p< 0.05). The deletion allele (g.168–185del) of a known 18 bp del/ins/dup polymorphism was found to be over represented (p< 0.05) among older patients (> 40 years) compared to the controls (> 45 years). Two of the patients, also heterozygotes forPINK1mutation, had more severe disease phenotypes, consistent with the reported interaction betweenPINK1andDJ-1gene products [19]. Our results demonstrate that up to 3.9% (12/308) of PD patients of eastern India harborDJ-1variants that should be explored further for any causal relationship with PD.

scholarly journals Illness severity and risk of mental morbidities among patients recovering from COVID-19: a cross-sectional study in the Icelandic population

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049967
Author(s):  
Karen Sól Saevarsdóttir ◽  
Hildur Ýr Hilmarsdóttir ◽  
Ingibjörg Magnúsdóttir ◽  
Arna Hauksdóttir ◽  
Edda Bjork Thordardottir ◽  
...  
Keyword(s):  
Severe Disease ◽  
Symptom Burden ◽  
Cross Sectional Study ◽  
Illness Severity ◽  
University Education ◽  
Adjusted Relative Risk ◽  
Sectional Study ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Increased Risk

ObjectiveTo test if patients recovering from COVID-19 are at increased risk of mental morbidities and to what extent such risk is exacerbated by illness severity.DesignPopulation-based cross-sectional study.SettingIceland.ParticipantsA total of 22 861 individuals were recruited through invitations to existing nationwide cohorts and a social media campaign from 24 April to 22 July 2020, of which 373 were patients recovering from COVID-19.Main outcome measuresSymptoms of depression (Patient Health Questionnaire), anxiety (General Anxiety Disorder Scale) and posttraumatic stress disorder (PTSD; modified Primary Care PTSD Screen for DSM-5) above screening thresholds. Adjusting for multiple covariates and comorbidities, multivariable Poisson regression was used to assess the association between COVID-19 severity and mental morbidities.ResultsCompared with individuals without a diagnosis of COVID-19, patients recovering from COVID-19 had increased risk of depression (22.1% vs 16.2%; adjusted relative risk (aRR) 1.48, 95% CI 1.20 to 1.82) and PTSD (19.5% vs 15.6%; aRR 1.38, 95% CI 1.09 to 1.75) but not anxiety (13.1% vs 11.3%; aRR 1.24, 95% CI 0.93 to 1.64). Elevated relative risks were limited to patients recovering from COVID-19 that were 40 years or older and were particularly high among individuals with university education. Among patients recovering from COVID-19, symptoms of depression were particularly common among those in the highest, compared with the lowest tertile of influenza-like symptom burden (47.1% vs 5.8%; aRR 6.42, 95% CI 2.77 to 14.87), among patients confined to bed for 7 days or longer compared with those never confined to bed (33.3% vs 10.9%; aRR 3.67, 95% CI 1.97 to 6.86) and among patients hospitalised for COVID-19 compared with those never admitted to hospital (48.1% vs 19.9%; aRR 2.72, 95% CI 1.67 to 4.44).ConclusionsSevere disease course is associated with increased risk of depression and PTSD among patients recovering from COVID-19.

scholarly journals 491. Aerosol-Generating Medical Procedures: Transmission of SARS-CoV-2 and Emerging Viruses

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S312-S312
Author(s):  
Seth D Judson ◽  
Vincent J Munster
Keyword(s):  
High Risk ◽  
Severe Disease ◽  
Experimental Studies ◽  
Virus Transmission ◽  
Nosocomial Transmission ◽  
Medical Procedures ◽  
Emerging Viruses ◽  
Zoonotic Viruses ◽  
Increased Risk ◽  
Hospital Acquired

Abstract Background During the pandemic of coronavirus disease 2019 (COVID-19), many questions arose regarding risks for hospital-acquired or nosocomial transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Aerosol generating medical procedures (AGMPs), techniques that can generate infectious, virus-laden aerosols, could potentially amplify transmission among healthcare workers (HCWs). Thus, it was widely recommended that HCWs use airborne precautions when performing AGMPs. However, in clinical settings it is often unclear what procedures constitute AGMPs and how the risk varies by procedure or pathogen. We set out to further define AGMPs and assess the risk for nosocomial transmission of SARS-CoV-2 and other high-risk viruses via AGMPs. Methods We identified potential AGMPs and emerging viruses that were high-risk for nosocomial transmission through reviewing experimental and clinical data. Potential AGMPs were those associated with previous virus transmission or mechanically capable of transmission. High-risk viruses were defined as those that cause severe disease in humans for which limited therapies or interventions exist, are infectious via aerosols in humans or non-human primates (NHPs), found in the respiratory tract of infected humans or NHPs, and had previous evidence of nosocomial transmission. Results We identified multiple potential AGMPs, which could be divided into those that generate aerosols or induce a patient to form aerosols, as well as eight families of high-risk viruses. All of the viruses were emerging zoonotic RNA viruses. In the family Coronaviridae, we identified potential evidence for SARS-CoV-1, MERS-CoV, and SARS-CoV-2 transmission via AGMPs. SARS-CoV-1 and SARS-CoV-2 were also found to be similarly stable when aerosolized. Conclusion Multiple emerging zoonotic viruses pose a high risk for nosocomial transmission through a variety of AGMPs. Given the similar stability of SARS-CoV-2 with SARS-CoV-1 when aerosolized and prior nosocomial transmission of SARS-CoV-1 via AGMPs, we suspect that certain AGMPs pose an increased risk for SARS-CoV-2 transmission. Additional experimental studies and on-site clinical sampling during AGMPs are necessary to further risk stratify AGMPs. Disclosures All Authors: No reported disclosures

scholarly journals Diabetes and COVID19: a bidirectional relationship

2021 ◽  
Author(s):  
Ranjit Unnikrishnan ◽  
Anoop Misra
Keyword(s):  
Clinical Care ◽  
Severe Disease ◽  
Respiratory Involvement ◽  
Pancreatic Damage ◽  
Increased Risk ◽  
Bidirectional Relationship ◽  
Rapid Spread ◽  
Relationship Of ◽  
The Relationship ◽  
New Onset

AbstractThe advent and rapid spread of the coronavirus disease-2019 (COVID19) pandemic across the world has focused attention on the relationship of commonly occurring comorbidities such as diabetes on the course and outcomes of this infection. While diabetes does not seem to be associated with an increased risk of COVID19 infection per se, it has been clearly demonstrated that the presence of hyperglycemia of any degree predisposes to worse outcomes, such as more severe respiratory involvement, ICU admissions, need for mechanical ventilation and mortality. Further, COVID19 infection has been associated with the development of new-onset hyperglycemia and diabetes, and worsening of glycemic control in pre-existing diabetes, due to direct pancreatic damage by the virus, body’s stress response to infection (including cytokine storm) and use of diabetogenic drugs such as corticosteroids in the treatment of severe COVID19. In addition, public health measures taken to flatten the pandemic curve (such as lockdowns) can also adversely impact persons with diabetes by limiting their access to clinical care, healthy diet, and opportunities to exercise. Most antidiabetic medications can continue to be used in patients with mild COVID19 but switching over to insulin is preferred in severe disease.

scholarly journals Baseline T-lymphocyte subset absolute counts can predict both outcome and severity in SARS-CoV-2 infected patients: a single center study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marco Iannetta ◽  
Francesco Buccisano ◽  
Daniela Fraboni ◽  
Vincenzo Malagnino ◽  
Laura Campogiani ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
T Lymphocyte ◽  
Lymphocyte Subsets ◽  
Severe Disease ◽  
Laboratory Data ◽  
Lymphocyte Subset ◽  
Multivariable Logistic Regression Analysis ◽  
Double Positive ◽  
Increased Risk ◽  
T Lymphocyte Subset

AbstractThe aim of this study was to evaluate the role of baseline lymphocyte subset counts in predicting the outcome and severity of COVID-19 patients. Hospitalized patients confirmed to be infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were included and classified according to in-hospital mortality (survivors/nonsurvivors) and the maximal oxygen support/ventilation supply required (nonsevere/severe). Demographics, clinical and laboratory data, and peripheral blood lymphocyte subsets were retrospectively analyzed. Overall, 160 patients were retrospectively included in the study. T-lymphocyte subset (total CD3+, CD3+ CD4+, CD3+ CD8+, CD3+ CD4+ CD8+ double positive [DP] and CD3+ CD4− CD8− double negative [DN]) absolute counts were decreased in nonsurvivors and in patients with severe disease compared to survivors and nonsevere patients (p < 0.001). Multivariable logistic regression analysis showed that absolute counts of CD3+ T-lymphocytes < 524 cells/µl, CD3+ CD4+ < 369 cells/µl, and the number of T-lymphocyte subsets below the cutoff (T-lymphocyte subset index [TLSI]) were independent predictors of in-hospital mortality. Baseline T-lymphocyte subset counts and TLSI were also predictive of disease severity (CD3+  < 733 cells/µl; CD3+ CD4+ < 426 cells/µl; CD3+ CD8+ < 262 cells/µl; CD3+ DP < 4.5 cells/µl; CD3+ DN < 18.5 cells/µl). The evaluation of peripheral T-lymphocyte absolute counts in the early stages of COVID-19 might represent a useful tool for identifying patients at increased risk of unfavorable outcomes.

scholarly journals Diabetes and COVID19: a bidirectional relationship

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ranjit Unnikrishnan ◽  
Anoop Misra
Keyword(s):  
Clinical Care ◽  
Severe Disease ◽  
Respiratory Involvement ◽  
Pancreatic Damage ◽  
Increased Risk ◽  
Bidirectional Relationship ◽  
Rapid Spread ◽  
Relationship Of ◽  
The Relationship ◽  
New Onset

AbstractThe advent and rapid spread of the coronavirus disease-2019 (COVID19) pandemic across the world has focused attention on the relationship of commonly occurring comorbidities such as diabetes on the course and outcomes of this infection. While diabetes does not seem to be associated with an increased risk of COVID19 infection per se, it has been clearly demonstrated that the presence of hyperglycemia of any degree predisposes to worse outcomes, such as more severe respiratory involvement, ICU admissions, need for mechanical ventilation and mortality. Further, COVID19 infection has been associated with the development of new-onset hyperglycemia and diabetes, and worsening of glycemic control in pre-existing diabetes, due to direct pancreatic damage by the virus, body’s stress response to infection (including cytokine storm) and use of diabetogenic drugs such as corticosteroids in the treatment of severe COVID19. In addition, public health measures taken to flatten the pandemic curve (such as lockdowns) can also adversely impact persons with diabetes by limiting their access to clinical care, healthy diet, and opportunities to exercise. Most antidiabetic medications can continue to be used in patients with mild COVID19 but switching over to insulin is preferred in severe disease.

scholarly journals Ethnic disparities in COVID-19: increased risk of infection or severe disease?

The Lancet ◽  
2021 ◽  
Vol 398 (10298) ◽  
pp. 389-390
Author(s):  
Daniel Pan ◽  
Christopher A Martin ◽  
Joshua Nazareth ◽  
Clareece R Nevill ◽  
Jatinder S Minhas ◽  
...  
Keyword(s):  
Severe Disease ◽  
Ethnic Disparities ◽  
Risk Of Infection ◽  
Increased Risk

scholarly journals Mevalonate Kinase-Associated Diseases: Hunting for Phenotype–Genotype Correlation

2021 ◽  
Vol 10 (8) ◽  
pp. 1552
Author(s):  
Guilaine Boursier ◽  
Cécile Rittore ◽  
Florian Milhavet ◽  
Laurence Cuisset ◽  
Isabelle Touitou
Keyword(s):  
Severe Disease ◽  
Compound Heterozygous ◽  
Mevalonate Kinase ◽  
Kinase Gene ◽  
New Associations ◽  
Associated Diseases ◽  
Ocular Symptoms ◽  
Disseminated Superficial Actinic Porokeratosis ◽  
Increased Risk ◽  
Genotype Correlation

Mevalonate kinase-associated diseases (MKAD) are caused by pathogenic mutations in the mevalonate kinase gene (MVK) and encompass several phenotypically different rare and hereditary autoinflammatory conditions. The most serious is a recessive systemic metabolic disease called mevalonic aciduria, and the most recently recognized is disseminated superficial actinic porokeratosis, a dominant disease limited to the skin. To evaluate a possible correlation between genotypes and (1) the different MKAD clinical subtypes or (2) the occurrence of severe manifestations, data were reviewed for all patients with MVK variants described in the literature (N = 346), as well as those referred to our center (N = 51). The genotypes including p.(Val377Ile) (homozygous or compound heterozygous) were more frequent in mild systemic forms but were also sometimes encountered with severe disease. We confirmed that amyloidosis was more prevalent in patients compound heterozygous for p.(Ile268Thr) and p.(Val377Ile) than in others and revealed new associations. Patients homozygous for p.(Leu264Phe), p.(Ala334Thr) or compound heterozygous for p.(His20Pro) and p.(Ala334Thr) had increased risk of severe neurological or ocular symptoms. All patients homozygous for p.(Leu264Phe) had a cataract. The variants associated with porokeratosis were relatively specific and more frequently caused a frameshift than in patients with other clinical forms (26% vs. 6%). We provide practical recommendations focusing on phenotype–genotype correlation in MKAD that could be helpful for prophylactic management.

scholarly journals Outpatient Management of COVID-19 Disease: A Holistic Patient-Centered Proposal Based on the Greek Experience

2021 ◽  
Vol 11 (8) ◽  
pp. 709
Author(s):  
Adamantia Liapikou ◽  
Eleni Tzortzaki ◽  
Georgios Hillas ◽  
Miltiadis Markatos ◽  
Ilias C. Papanikolaou ◽  
...  
Keyword(s):  
Preventive Measures ◽  
Severe Disease ◽  
Hospital Setting ◽  
Guidance Document ◽  
Outpatient Management ◽  
Patient Centered ◽  
Mild Disease ◽  
Novel Coronavirus ◽  
Second Wave ◽  
Close Contacts

Novel coronavirus disease 2019 (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a worldwide pandemic and affected more than 227 countries or territories, resulting in more than 179 million cases with over 3.890.00 deaths, as of June 25, 2021. The Hellenic Thoracic Society (HTS) during the second wave of COVID-19 pandemic released a guidance document for the management of patients with COVID-19 in the community and in hospital setting. In this review, with guidance the HTS document, we are discussing the outpatient management of COVID-19 patients, including the preventive measures, the patients’ isolation and quarantine criteria of close contacts, the severity and risk stratification, including the decisions for advanced hospitalization, and the disease management at home in patients with mild disease and after hospital discharge for those with more severe disease.

scholarly journals Renin-angiotensin system blocker and outcomes of COVID-19: a systematic review and meta-analysis

Thorax ◽  
2021 ◽  
pp. thoraxjnl-2020-215322
Author(s):  
Hyun Woo Lee ◽  
Chang-Hwan Yoon ◽  
Eun Jin Jang ◽  
Chang-Hoon Lee
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Severe Disease ◽  
Renin Angiotensin System ◽  
Angiotensin Ii Receptor ◽  
Angiotensin System ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Receptor Blockers

BackgroundThe association of ACE inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs) with disease severity of patients with COVID-19 is still unclear. We conducted a systematic review and meta-analysis to investigate if ACEI/ARB use is associated with the risk of mortality and severe disease in patients with COVID-19.MethodsWe searched all available clinical studies that included patients with confirmed COVID-19 who could be classified into an ACEI/ARB group and a non-ACEI/ARB group up until 4 May 2020. A meta-analysis was performed, and primary outcomes were all-cause mortality and severe disease.ResultsACEI/ARB use did not increase the risk of all-cause mortality both in meta-analysis for 11 studies with 12 601 patients reporting ORs (OR=0.52 (95% CI=0.37 to 0.72), moderate certainty of evidence) and in 2 studies with 8577 patients presenting HRs. For 12 848 patients in 13 studies, ACEI/ARB use was not related to an increased risk of severe disease in COVID-19 (OR=0.68 (95% CI=0.44 to 1.07); I2=95%, low certainty of evidence).ConclusionsACEI/ARB therapy was not associated with increased risk of all-cause mortality or severe manifestations in patients with COVID-19. ACEI/ARB therapy can be continued without concern of drug-related worsening in patients with COVID-19.

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