scholarly journals Disease Triangle Dynamics of Coccidioidomycosis in Northern Arizona

Author(s):  
Heather L Mead ◽  
Daniel Kollath ◽  
Marcus de Melo Teixeira ◽  
Chandler C Roe ◽  
Paul Keim ◽  
...  

Coccidioides species are the etiological agent of Valley fever (Vf). Disease ranges from pneumonia to extrapulmonary infection. If diagnosis is delayed or missed, the risk of severe disease increases. We investigate the disease triangle (intersection of pathogen, host, and environment) of Vf in Northern Arizona, where the risk of acquiring the disease is lower but prevalent and rising. We inspect reported and hospitalized cases of VF hosts. Then assess pathogen origin by comparing Northern Arizona clinical isolates to isolates from other regions. Lastly, we survey Northern Arizona soils for evidence of Coccidioides. We found that cases of Vf are increasing some requiring hospitalization. The Northern Arizona Coccidioidies isolates were genetically related to Southern Arizona populations. However, we detected Coccidioides DNA in Northern Arizona soils. We expect that cases will continue to increase and suggest increased awareness and screening for the disease is crucial to limit severe illness in Northern Arizona.

2020 ◽  
Author(s):  
Carson Lam ◽  
Jacob Calvert ◽  
Gina Barnes ◽  
Emily Pellegrini ◽  
Anna Lynn-Palevsky ◽  
...  

BACKGROUND In the wake of COVID-19, the United States has developed a three stage plan to outline the parameters to determine when states may reopen businesses and ease travel restrictions. The guidelines also identify subpopulations of Americans that should continue to stay at home due to being at high risk for severe disease should they contract COVID-19. These guidelines were based on population level demographics, rather than individual-level risk factors. As such, they may misidentify individuals at high risk for severe illness and who should therefore not return to work until vaccination or widespread serological testing is available. OBJECTIVE This study evaluated a machine learning algorithm for the prediction of serious illness due to COVID-19 using inpatient data collected from electronic health records. METHODS The algorithm was trained to identify patients for whom a diagnosis of COVID-19 was likely to result in hospitalization, and compared against four U.S policy-based criteria: age over 65, having a serious underlying health condition, age over 65 or having a serious underlying health condition, and age over 65 and having a serious underlying health condition. RESULTS This algorithm identified 80% of patients at risk for hospitalization due to COVID-19, versus at most 62% that are identified by government guidelines. The algorithm also achieved a high specificity of 95%, outperforming government guidelines. CONCLUSIONS This algorithm may help to enable a broad reopening of the American economy while ensuring that patients at high risk for serious disease remain home until vaccination and testing become available.


2020 ◽  
Vol 58 (7) ◽  
pp. 1021-1028 ◽  
Author(s):  
Brandon Michael Henry ◽  
Maria Helena Santos de Oliveira ◽  
Stefanie Benoit ◽  
Mario Plebani ◽  
Giuseppe Lippi

AbstractBackgroundAs coronavirus disease 2019 (COVID-19) pandemic rages on, there is urgent need for identification of clinical and laboratory predictors for progression towards severe and fatal forms of this illness. In this study we aimed to evaluate the discriminative ability of hematologic, biochemical and immunologic biomarkers in patients with and without the severe or fatal forms of COVID-19.MethodsAn electronic search in Medline (PubMed interface), Scopus, Web of Science and China National Knowledge Infrastructure (CNKI) was performed, to identify studies reporting on laboratory abnormalities in patients with COVID-19. Studies were divided into two separate cohorts for analysis: severity (severe vs. non-severe and mortality, i.e. non-survivors vs. survivors). Data was pooled into a meta-analysis to estimate weighted mean difference (WMD) with 95% confidence interval (95% CI) for each laboratory parameter.ResultsA total number of 21 studies was included, totaling 3377 patients and 33 laboratory parameters. While 18 studies (n = 2984) compared laboratory findings between patients with severe and non-severe COVID-19, the other three (n = 393) compared survivors and non-survivors of the disease and were thus analyzed separately. Patients with severe and fatal disease had significantly increased white blood cell (WBC) count, and decreased lymphocyte and platelet counts compared to non-severe disease and survivors. Biomarkers of inflammation, cardiac and muscle injury, liver and kidney function and coagulation measures were also significantly elevated in patients with both severe and fatal COVID-19. Interleukins 6 (IL-6) and 10 (IL-10) and serum ferritin were strong discriminators for severe disease.ConclusionsSeveral biomarkers which may potentially aid in risk stratification models for predicting severe and fatal COVID-19 were identified. In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness.


2021 ◽  
Vol 6 (55) ◽  
pp. eabe4782 ◽  
Author(s):  
Anthony Kusnadi ◽  
Ciro Ramírez-Suástegui ◽  
Vicente Fajardo ◽  
Serena J Chee ◽  
Benjamin J Meckiff ◽  
...  

The molecular properties of CD8+ T cells that respond to SARS-CoV-2 infection are not fully known. Here, we report on the single-cell transcriptomes of >80,000 virus-reactive CD8+ T cells, obtained using a modified Antigen-Reactive T cell Enrichment (ARTE) assay, from 39 COVID-19 patients and 10 healthy subjects. COVID-19 patients segregated into two groups based on whether the dominant CD8+ T cell response to SARS-CoV-2 was ‘exhausted’ or not. SARS-CoV-2-reactive cells in the exhausted subset were increased in frequency and displayed lesser cytotoxicity and inflammatory features in COVID-19 patients with mild compared to severe illness. In contrast, SARS-CoV-2-reactive cells in the dominant non-exhausted subset from patients with severe disease showed enrichment of transcripts linked to co-stimulation, pro-survival NF-κB signaling, and anti-apoptotic pathways, suggesting the generation of robust CD8+ T cell memory responses in patients with severe COVID-19 illness. CD8+ T cells reactive to influenza and respiratory syncytial virus from healthy subjects displayed polyfunctional features and enhanced glycolysis. Cells with such features were largely absent in SARS-CoV-2-reactive cells from both COVID-19 patients and healthy controls non-exposed to SARS-CoV-2. Overall, our single-cell analysis revealed substantial diversity in the nature of CD8+ T cells responding to SARS-CoV-2.


2021 ◽  
Vol 8 ◽  
Author(s):  
Chaoqun Ma ◽  
Dingyuan Tu ◽  
Jiawei Gu ◽  
Qiang Xu ◽  
Pan Hou ◽  
...  

Objective: Cardiac injury is detected in numerous patients with coronavirus disease 2019 (COVID-19) and has been demonstrated to be closely related to poor outcomes. However, an optimal cardiac biomarker for predicting COVID-19 prognosis has not been identified.Methods: The PubMed, Web of Science, and Embase databases were searched for published articles between December 1, 2019 and September 8, 2021. Eligible studies that examined the anomalies of different cardiac biomarkers in patients with COVID-19 were included. The prevalence and odds ratios (ORs) were extracted. Summary estimates and the corresponding 95% confidence intervals (95% CIs) were obtained through meta-analyses.Results: A total of 63 studies, with 64,319 patients with COVID-19, were enrolled in this meta-analysis. The prevalence of elevated cardiac troponin I (cTnI) and myoglobin (Mb) in the general population with COVID-19 was 22.9 (19–27%) and 13.5% (10.6–16.4%), respectively. However, the presence of elevated Mb was more common than elevated cTnI in patients with severe COVID-19 [37.7 (23.3–52.1%) vs.30.7% (24.7–37.1%)]. Moreover, compared with cTnI, the elevation of Mb also demonstrated tendency of higher correlation with case-severity rate (Mb, r = 13.9 vs. cTnI, r = 3.93) and case-fatality rate (Mb, r = 15.42 vs. cTnI, r = 3.04). Notably, elevated Mb level was also associated with higher odds of severe illness [Mb, OR = 13.75 (10.2–18.54) vs. cTnI, OR = 7.06 (3.94–12.65)] and mortality [Mb, OR = 13.49 (9.3–19.58) vs. cTnI, OR = 7.75 (4.4–13.66)] than cTnI.Conclusions: Patients with COVID-19 and elevated Mb levels are at significantly higher risk of severe disease and mortality. Elevation of Mb may serve as a marker for predicting COVID-19-related adverse outcomes.Prospero Registration Number:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020175133, CRD42020175133.


2021 ◽  
Author(s):  
Mahmoud Ramadan Elkazzaz ◽  
Amr kamel khalil Ahmed

Abstract SARS-CoV-2, which causes COVID-19, is a new virus that has spread fast over the world. The severity of COVID-19 at different ages has been a notable and constant observation: severity, the requirement for hospitalization, and mortality all grow sharply with age, although severe disease and death are uncommon in children and young adults.. The majority of children infected with SARS-CoV-2 are asymptomatic or have moderate symptoms, which include fever, cough, pharyngitis, gastrointestinal symptoms, and changes in taste and smell. The question of whether children are less likely to be infected with SARS-CoV-2 is still being debated. Children make up only 1 to 2% of all SARS-CoV-2 cases, according to large epidemiological research. these numbers are heavily, depend on testing criteria, and in many reports, testing was limited to those who were symptomatic or required hospitalization, which is less common in children.. According to certain research, children are just as likely as adults to contract SARS-CoV-2.9. Recent research suggests that children are less likely to become infected after coming into touch with a SARS-CoV-2-positive person.According to some reports, children and adolescents have similar virus loads and are hence just as likely to transmit SARS-CoV-2 as adults. Furthermore, the viral load in asymptomatic and symptomatic people may be identical. Reassuringly, transmission of the virus from children to other children or adults in schools has been infrequent.Children are less likely to be infected with SARS-CoV-2 and have less severe symptoms, which is similar to what has been observed with SARS-CoV-1 and Middle East respiratory disease (MERS)-CoV. Infection with most other respiratory viruses (e.g., respiratory syncytial virus (RSV), metapneumovirus, parainfluenza, or influenza viruses), on the other hand, has a far higher prevalence and severity in youngsters. Dr. Mahmoud Elkazzaz and Dr Amr kamel khalil Ahmed, the lead investigators of this observational study, recently published a preprint that demonstrated Docosahexaenoic acid (DHA) had a high binding affinity and greatest interactions with ACE2 active sites, as well as a moderate binding affinity and moderate interactions with the active sites of IL-6. The Docosahexaenoic acid (DHA) interacts with different active sites of IL6 and ACE2 which are involved in direct or indirect contacts with the ACE2 and IL-6 receptors which might act as potential blockers of functional ACE2 and IL-6 receptor complex.. A study proposed, a clinical benefit of targeting IL-17A signaling and the synergic inflammatory cytokine IL-6 to manage COVID-19 patients, particularly those presenting with cytokine storm syndrome.Hypercytokinemia, caused by notably high pro-inflammatory cytokines such as interleukin (IL)-1B, IL-6, IL-8, and IL-17, is mostly linked to the worsened clinical presentation of COVID-19 patients(14). In PBMCs from individuals with relapsing-remitting multiple sclerosis, a combination of docosahexaenoic acid (DHA) and all-trans-retinoic acid (ATRA) inhibits IL-17 gene expression.ConclusionsDocosahexaenoic acid (DHA) was detected in abundance in breast milk and other algal sources milk supplement used for newborns and children's feeding. As a result, we believe that docosahexaenoic acid (DHA) may protect children and newborns thorough competing with COVID-19 for ACE2 receptors and inhibiting IL-6 activity and may possibly help them avoid a cytokine storm and save their lives through inhibiting IL-6 and preventing SARS- CoV-2 RBD attachment to ACE2. In addition to IL-17 was fond to increase COVID-19 inflammatory complication in this case DHA combined with retinoic acid is expected to be effective in inhibiting IL-6 and IL-17.


2021 ◽  
Author(s):  
Pilar Nuevo-Ortega ◽  
Carmen Reina-Artacho ◽  
Francisco Dominguez-Moreno ◽  
Victor Manuel Becerra-Muñoz ◽  
Luis Ruiz-Del-Fresno ◽  
...  

Abstract Background: In potentially severe diseases in general and COVID-19 in particular, it is vital to early identify those patients who are going to develop complications. The last update of a recent living systematic review dedicated to predictive models in COVID-19,[1] critically appraises 145 models, 8 of them focused on prediction of severe disease and 23 on mortality. Unfortunately, in all 145 models, they found a risk of bias significant enough to finally "not recommend any for clinical use". Authors suggest concentrating on avoiding biases in sampling and prioritising the study of already identified predictive factors, rather than the identification of new ones that are often dependent on the database. Our objective is to develop a model to predict which patients with COVID-19 pneumonia are at high risk of developing severe illness or dying, using basic and validated clinical tools.Methods: prospective cohort of consecutive patients admitted in a teaching hospital during the “first wave” of the COVID-19 pandemic. Follow-up to discharge from hospital. Multiple logistic regression selecting variables according to clinical and statistical criteria. Results: 404 consecutive patients were evaluated, 392 (97%) completed follow-up. Mean age was 61 years; 59% were men. The median burden of comorbidity was 2 points in the Age-adjusted Charlson Comorbidity Index, CRB was abnormal in 18% of patients and basal oxygen saturation on admission lower than 90% in 18%. A model composed of Age-adjusted Charlson Comorbidity Index, CRB score and basal oxygen saturation can predict unfavorable evolution or death with an area under the ROC curve of 0.85 (95% CI: 0.80-0.89), and 0.90 (95% CI: 0.86 to 0.94), respectively.Conclusion: prognosis of COVID-19 pneumonia can be predicted in the out-of-hospital environment using two classic prognostic scales and a pocket pulse oximeter.


2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Petrus Jansen van Vuren ◽  
Sharon Shalekoff ◽  
Antoinette A. Grobbelaar ◽  
Brett N. Archer ◽  
Juno Thomas ◽  
...  

Author(s):  
Johanna Lindahl ◽  
Bernard Bett ◽  
Timothy Robinson ◽  
Delia Grace

Rift Valley fever is a severe disease affecting both humans and animals. The Rift Valley fever virus can be transmitted by body fluids, and the most common way for humans to get infected is from animals. The virus is also vector-borne and can be transmitted by many species of mosquitoes. As with other vector-borne diseases, the epidemiology may vary in response to environmental changes. Here the effects of climate and land use changes on Rift Valley fever, as well as on other vector-borne diseases, are discussed. The effect of irrigation in East Africa on inter-epidemic transmission of RVF is discussed in greater detail, followed by recommendations for future research and actions.


Author(s):  
Johanna Lindahl ◽  
Bernard Bett ◽  
Timothy Robinson ◽  
Delia Grace

Rift Valley fever is a severe disease affecting both humans and animals. The Rift Valley fever virus can be transmitted by body fluids, and the most common way for humans to get infected is from animals. The virus is also vector-borne and can be transmitted by many species of mosquitoes. As with other vector-borne diseases, the epidemiology may vary in response to environmental changes. Here the effects of climate and land use changes on Rift Valley fever, as well as on other vector-borne diseases, are discussed. The effect of irrigation in East Africa on inter-epidemic transmission of RVF is discussed in greater detail, followed by recommendations for future research and actions.


2020 ◽  
Vol 5 (2) ◽  
pp. 89 ◽  
Author(s):  
Elysse N. Grossi-Soyster ◽  
A. Desiree LaBeaud

Rift Valley fever virus (RVFV) is a zoonotic phlebovirus of the Phenuiviridae family with great opportunity for emergence in previously unaffected regions, despite its current geographical limits. Outbreaks of RVFV often infect humans or domesticated animals, such as livestock, concurrently and occur sporadically, ranging from localized outbreaks in villages to multi-country events that spread rapidly. The true burden of Rift Valley fever (RVF) is not well defined due to underreporting, misdiagnosis caused by the broad spectrum of disease presentation, and minimal access for rapid and accurate laboratory confirmation. Severe symptoms may include hemorrhagic fever, loss of vision, psychological impairment or disturbances, and organ failure. Those living in endemic areas and travelers should be aware of the potential for exposure to ongoing outbreaks or interepidemic transmission, and engage in behaviors to minimize exposure risks, as vaccinations in humans are currently unavailable and animal vaccinations are not used routinely or ubiquitously. The lack of vaccines approved for use in humans is concerning, as RVFV has proven to be highly pathogenic in naïve populations, causing severe disease in a large percent of confirmed cases, which could have considerable impact on human health.


Sign in / Sign up

Export Citation Format

Share Document