Clinical characteristics of 75 pandemic H1N1 influenza patientsfrom Turkey; risk factors for fatality

Kılıç, Hatice; Kanbay, Asiye; Karalezli, Ayşegül; Hasanoğlu, H. Canan; Ateş, Can

doi:10.3906/sag-1401-111

Cited by 6 publications

(6 citation statements)

References 20 publications

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“… 40 Two other studies of patients with probable IAV H1N1 infection found that D -dimer predicted disease progression. 77 , 78 Elevated plasma levels of D -dimer have also been reported in SARS-CoV–infected patients. 79 D -dimer has attracted attention as a prognostic marker in COVID-19 patients.…”

Section: Pandemic Respiratory Viruses Activate the Coagulation Systemmentioning

confidence: 99%

Coagulation Abnormalities and Thrombosis in Patients Infected With SARS-CoV-2 and Other Pandemic Viruses

Mackman

Antoniak

Wolberg

et al. 2020

ATVB

172

148

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The world is amid a pandemic caused by severe acute respiratory syndrome-coronavirus 2. Severe acute respiratory syndrome-coronavirus causes serious respiratory tract infections that can lead to viral pneumonia, acute respiratory distress syndrome, and death. Some patients with coronavirus disease 2019 (COVID-19) have an activated coagulation system characterized by elevated plasma levels of d -dimer—a biomarker of fibrin degradation. Importantly, high levels of D -dimer on hospital admission are associated with increased risk of mortality. Venous thromboembolism is more common than arterial thromboembolism in hospitalized COVID-19 patients. Pulmonary thrombosis and microvascular thrombosis are observed in autopsy studies, and this may contribute to the severe hypoxia observed in COVID-19 patients. It is likely that multiple systems contribute to thrombosis in COVID-19 patients, such as activation of coagulation, platelet activation, hypofibrinolysis, endothelial cell dysfunction, inflammation, neutrophil extracellular traps, and complement. Targeting these different pathways may reduce thrombosis and improve lung function in COVID-19 patients.

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Section: Pandemic Respiratory Viruses Activate the Coagulation Systemmentioning

confidence: 99%

Coagulation Abnormalities and Thrombosis in Patients Infected With SARS-CoV-2 and Other Pandemic Viruses

Mackman

Antoniak

Wolberg

et al. 2020

ATVB

172

148

View full text Add to dashboard Cite

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“…Albumin (mg ml IAV infections are prothrombotic in humans, which can result in an increase in Fg at the site of infection [15,[43][44][45]. Because Fg is an important ligand of the M protein, it was of interest to measure the abundance of Fg in our murine model of IAV-GAS superinfection.…”

Section: Iav-gas Superinfection Increased the Abundance Of Fg In The mentioning

confidence: 99%

Binding host proteins to the M protein contributes to the mortality associated with influenza–Streptococcus pyogenes superinfections

et al. 2017

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The mortality associated with influenza A virus (IAV) is often due to the development of secondary bacterial infections known as superinfections. The group A streptococcus (GAS) is a relatively uncommon cause of IAV superinfections, but the mortality of these infections is high. We used a murine model to determine whether the surface-localized GAS M protein contributes to the outcome of IAV-GAS superinfections. A comparison between wild-type GAS and an M protein mutant strain (emm3) showed that the M3 protein was essential to virulence. To determine whether the binding, or recruitment, of host proteins to the bacterial surface contributed to virulence, GAS was suspended with BALF collected from mice that had recovered from a sub-lethal infection with IAV. Following intranasal inoculation of naïve mice, the mortality associated with the wild-type strain, but not the emm3 mutant strain, was greater compared to mice inoculated with GAS suspended with either BALF from uninfected mice or PBS. Further analyses showed that both albumin and fibrinogen (Fg) were more abundant in the respiratory tract 8 days after IAV infection, that M3 bound both proteins to the bacterial surface, and that suspension of GAS with either protein increased GAS virulence in the absence of antecedent IAV infection. Overall, the results showed that M3 is essential to the virulence of GAS in an IAV superinfection and suggested that increased abundance of albumin and Fg in the respiratory tract following IAV infection enhanced host susceptibility to secondary GAS infection.

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“…Eighteen (53%) items focused on 2009 and 2010 [26,29,35,37,38,[40][41][42][43][44][45][46][47][48][49][50]. Only 4 (12%) collected patient data earlier than 2009 [24,34,51,52].…”

Section: Study Search Results and Selectionmentioning

confidence: 99%

Prediction models for prognosis of inﬂuenza: a systematic review and critical appraisal

2021

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The influenza epidemic has become an important public health issue throughout the world. Early recognition of potentially terrible outcomes is important in the emergency department (ED). Efficient prognosis of the disease is conducive to reducing the financial burden and providing appropriate care for patients. Prediction models containing several features to estimate the risk of patients with confirmed infection could help clinicians give appropriate treatment when health care resources are limited. We conducted a literature review of studies about influenza published until June 2021 and updated the literature during the creation process. We researched PubMed, Web of Science, and Google Scholar databases to collect articles in English relevant to influenza between Jan 1, 1900, and Dec 30, 2020. The terms used for the search were “influenza”, “diagnostic”, “prognostic”, “prediction”, “score”, “artificial intelligence”, and so on. If the study involved animals, children, pregnant women or the study type was pragmatic and explanatory clinical trial, guideline, protocol, letter, a case report was also excluded. The GRACE checklist in our study was used to assess the 34 studies for quality. Thirty-four articles were included in the review, and relevant data were extracted from the risk prognosis model. Cardiovascular disease and central nervous symptoms play an important role in prognostic models of influenza. In addition, some commonly used scoring systems can also play a certain role in evaluation. This systematic review compared different types of models for predicting the prognosis of influenza infection, informing us of risk factors for the predictive model in predicting the prognosis of influenza in the early stage. The articles were limited to retrospective observational studies, sample size, time limitation, incomplete data, imbalanced prognosis treatment, and so on.

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Clinical characteristics of 75 pandemic H1N1 influenza patientsfrom Turkey; risk factors for fatality

Cited by 6 publications

References 20 publications

Coagulation Abnormalities and Thrombosis in Patients Infected With SARS-CoV-2 and Other Pandemic Viruses

Coagulation Abnormalities and Thrombosis in Patients Infected With SARS-CoV-2 and Other Pandemic Viruses

Binding host proteins to the M protein contributes to the mortality associated with influenza–Streptococcus pyogenes superinfections

Prediction models for prognosis of inﬂuenza: a systematic review and critical appraisal

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