Literature DB >> 28813449

Influenza virus infections among patients attending emergency department according to main reason to presenting to ED: A 3-year prospective observational study during seasonal epidemic periods.

Enrique Casalino1,2,3, Stephanie Antoniol1,2,3, Nadhira Fidouh4, Christophe Choquet1,2,3, Jean-Christophe Lucet5, Xavier Duval6,7, Benoit Visseaux4,7, Laurent Pereira1,2,3.   

Abstract

OBJECTIVE: The role of influenza virus in patients presenting at ED during seasonal-epidemic periods has not previously been specified. Our objective was to determine its frequency according to clinical presentation.
METHODS: This is a prospective observational study conducted during three-consecutive seasonal Influenza epidemics (2013-2015), including patients presenting i) community-acquired pneumonia (CAP); ii) severe acute symptoms (SAS): respiratory failure (RF), hemodynamic failure (HF), cardiac failure (CF), and miscellaneous symptoms (M); iii) symptoms suggesting influenza (PSSI). Patients were tested for influenza using specific PCR on naso-pharyngeal swabs.
RESULTS: Of 1,239 patients, virological samples were taken from 784 (63.3%), 213 (27.2%) of whom were positive for the influenza virus: CAP 52/177 (29.4%), SAS 115/447 (25.7%) and PSSI 46/160 (28.8%) (p = 0.6). In the SAS group positivity rates were: RF 76/263 (28.9%), HF 5/29 (17.2%), CF 15/68 (22.1%), and M 19/87 (21.8%) (p = 0.3). Among the major diagnostic categories, the influenza virus positivity rates were: asthma 60/231 (26%), acute exacerbation of chronic obstructive pulmonary disease 18/86 (20.9%), HIV 5/21 (23.8%) and cardiac failure 33/131 (25.2%). The positivity of the samples has not been associated (p>0.1) nor the presence of signs of severity or admission rate in medical ward nor intensive care unit.
CONCLUSIONS: Our results indicate that during seasonal influenza epidemics, Influenza virus-positivity rate is similar in patients attending ED for influenza-compatible clinical features, patients with acute symptoms including pneumonia, respiratory, hemodynamic and cardiac distress, and patients presenting for acute decompensation of chronic respiratory and cardiac diseases.

Entities:  

Mesh:

Year:  2017        PMID: 28813449      PMCID: PMC5558947          DOI: 10.1371/journal.pone.0182191

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Seasonal influenza occurs in epidemic peaks during the winter periods. Particular climate conditions, including cold and humidity, school holidays, and the characteristics of the likely circulating viral strain and vaccination coverage, are associated with epidemic peaks that vary in intensity in terms of the number of patients and the severity of the observed cases [1]. There is an increase in the number of acute asthma episodes during the winter period [2], as well as in acute exacerbations of chronic obstructive pulmonary disease (AE-COPD) [3], decompensation of cardiac diseases [4], hospitalizations, particularly among the elderly [5], and in pulmonary, cardiovascular, and neuromuscular complications [6-8]. This means that the reception capacities of the emergency services and intensive care units (ICU) can rapidly become increasingly stretched [9]. Determination of the number of lengthy hospital stays, primarily for respiratory and hemodynamic decompensations related to respiratory viruses, and to influenza viruses in particular, is a strategic priority, in order to promote improvements in prevention, diagnostics, and therapeutics, as well as in care delivery [10]. The influenza virus has been identified as the causative agent of 2.2–18% of lung diseases [11-13], up to 10% of asthma [2] and AE-COPD episodes [14], 4–33% of patient admissions to ICU for community-acquired pneumonia (CAP) [15], and 3.4% of all admissions to ICU [16]. Nevertheless, to our knowledge, no study has evaluated the role of the influenza virus in episodes of respiratory, cardiac, or hemodynamic distress during periods of influenza epidemic in the ED. The objective of this study was to identify the number of patients infected with the influenza virus among those presenting at the ED with pneumonia or severe acute symptoms or presenting symptoms suggesting Influenza, as well as the impact of the influenza virus on the severity of illness and the fate of the patients.

Material and methods

Study design and setting

This was a prospective observational study conducted as part of a continuous quality improvement program for the diagnosis and treatment of viral infections in the ED of the hospital Bichat—Claude Bernard (BCB), Paris, France. The BCB is an academic, 1,000-bed hospital, and its ED receives 80,000 visits each year.

Selection of participants

Adults attending the BCB ED during three consecutive periods of seasonal influenza epidemic (2013–2015) were included. The National Institute for Public Health Surveillance annually determines the beginning and the end of the seasonal influenza epidemic, according to the number of cases reported by the influenza surveillance networks, [17]. In accordance with the inclusion criteria, three groups were defined on the basis of the initial reason for presentation in the ED. Groups were defined by ED physician during ED stay: (1) Patients presenting with acute respiratory symptoms suggesting CAP (CAP group); (2) Patients presenting with severe acute symptoms (SAS group) [18]: polypnea, cyanosis, oxygen saturation Spa02 <95%, pneumonia, wheeze, tachycardia, hypotension, areas of mottled skin, malaise, change in mental status, and oliguria; and (3) patients with symptoms suggesting Influenza virus infection (fever and cough or myalgias or rhinorrhea) and with underlying conditions for severe influenza (PSSI group): age ≥65 years, asthma, bronchopulmonary dysplasia, cystic fibrosis, chronic respiratory failure, cardiac failure, cardiac valvulopathy, congenital heart disease, cardiovascular disease, renal failure, nephrotic syndrome, sickle-cell anemia, hepatic failure, diabetes, systemic corticosteroid therapy, leukemia or lymphoma, immunosuppression, cancer, HIV infection, CD4 lymphocytes count, obesity, and pregnancy [19]. Patients in the SAS group were classified into four subgroups on the basis of their main reason for visiting the ED: a) respiratory failure (RF); b) hemodynamic failure (HF); c) cardiac failure (CF); and d) miscellaneous (M). For each patient meeting the inclusion criteria, a standard case report form, which included demographic and clinical data, was completed by emergency physicians as a part of a quality of care program. The data were prospectively recorded and collected from the computerized emergency database system (Urqual®, McKesson International, Paris, France), and the final disposition decision was recorded (Medical or Intensive Care Unit). The rate of influenza in presentations of asthma, acute exacerbation of chronic obstructive pulmonary disease (AE-COPD), HIV infected patients and acute decompensation of cardiac failure was calculated on the basis of the final diagnosis of emergency (ICD-10).

Interventions

Nasopharyngeal samples were obtained from patients with CAP, severe acute conditions, or underlying clinical conditions for severe influenza at the time of study enrollment. It was also possible to include some patients with an indication of hospitalization, patients residing in elderly care centers, healthcare workers, and people living with a person with underlying clinical conditions for severe influenza. Swab samples were placed in universal vials in universal transport media (Sigma-Virocult®, MW951S) and stored at + 4°C if not tested immediately. All samples were processed for influenza detection within 36 hours, using the Xpert® Flu PCR test (Cepheid, California, USA.). This test also allowed the classification of influenza viruses. Bacteriological findings were obtained from electronic clinical records.

Ethics statement

Data collection and storage by the Urqual® Emergency Database was approved by the French National Commission for Data Protection and Liberties. Anonymized data was extracted from the CNR-M database. The Emergency Ethics Committee for Biomedical Research of Assistance Publique-Hôpitaux de Paris approved this study.

Analysis

In order to describe the study population, quantitative variables have been expressed as mean and standard deviation, and qualitative variables as numbers of patients and percentages. A Chi 2 or Fisher’s test and a Student’s t-test or Wilcoxon test were used to compare qualitative and quantitative variables between study groups. The significance threshold was set at p = 0.05. Statistical analyses were performed using Statistica® software (StatSoft).

Results

Characteristics of study subjects

During the three consecutive periods, 42,364 ED visits were recorded. On the basis of the reason for presentation and the ICD-10 coding, 3,221 visits (7.6%) were considered for inclusion in our study. Of these, 1,239 (38.5%) were actually included, as follows: 240 (19.4%) cases of CAP, 647 (52.2%) patients with SAS, and 352 (28.4%) cases of PSSI. Fig 1 shows a flowchart relating to the study population.
Fig 1

Study flowchart.

Table 1 shows the main characteristics of the patients included, according to the reason for ED presentation. It can be observed that the CAP and SAS groups more frequently had underlying clinical conditions, putting them at risk of severe influenza, than did the group of patients with clinical symptoms suggestive of influenza, but without signs of seriousness.
Table 1

The main characteristics of the study groups.

Community-acquired pneumoniaSevere acute symptomsPatients with underlying conditions for severe influenzaP
n = 240n = 647n = 352
moy±DSmoy±DSmoy±DS
n%n%n%
Risk factors for severe influenza infection
Age68.5±18.770.6±18.555±21.10.002
Age ≥65 years15363.844468.612736.10.00001
Asthma4418.725940.63811.20.00001
Bronchopulmonary dysplasia52.1203.110.30.01
Cystic fibrosis239.8345.3133.90.009
Chronic respiratory failure198.19414.81030.000001
Cardiac failure2711.512619.8205.90.000001
Cardiac valvulopathy93.8314.941.20.01
Congenital heart disease31.3142.241.20.4
Cardiovascular disease1465791030.002
Renal failure218.96810.7195.60.03
Nephrotic syndrome10.410.241.20.09%
Sickle-cell anemia0010.230,90.1
Hepatic failure10.430.5000.5
Diabetes3715.712319.34312.70.03
Systemic corticosteroid therapy146436.8185.30.7
Leukemia or Lymphoma62.650.820.60.05
Immunosuppression146243.8185.30.3
Cancer114.7314.9113.30.5
HIV infection104.3142.2113.30.2
CD4 count196±347145±17415–190.4
Obesity114.70%446.992.70.02
Pregnancy10.460,941.20.6
At least one of the above17775.364052.733927.90.00001
Signs of severity
Polypnea3414.17%12412.41%000.5
Cyanosis52.08%282.80%000.0002
Oxygen saturation Spa02 < 95%10845.00%41641.64%000.00001
Pneumonia11849.216725.8000.00001
Wheeze5221.67%25925,93%000.0001
Tachycardia3514.58%12012.01%000.000001
Hypotension177.08%454.50%000.000001
Areas of mottled skin93.75%424.20%000.000001
Discomfort104.17%393.90%000.00002
Changes in mental status125%373.70%000.00004
Oliguria20.83%50.50%000.2
At least one of the above17773.8%59159.2%000.00001

Virological results

Virological samples were taken from 784/1,239 (63.3%) patients, as follows: CAP 177 (73.8%), SAS 447 (69.1%), and PSSI 160 (45.5%). Of these patients, 213 (27.2%) were positive for the influenza virus. The influenza positivity rate in each of the groups was as follows: CAP 52/177 (29.4%), SAS 115/447 (25.7%), and PSSI 46/160 (28.8%) (p = 0.6). In the SAS group, the influenza positivity rates were according to the reason of presentation as follows: RF 76/263 (28.9%), HF 5/29 (17.2%), CF 15/68 (22.1%), and M 19/87 (21.8%) (p = 0.3). On the basis of the final diagnosis, the influenza virus positivity rates of the virological samples were as follows: asthma 60/231 (26%), AE-COPD 18/86 (20.9%), HIV 5/21 (23.8%), and acute cardiac failure 33/131 (25.2%). The overall rate and the groups' positivity rates were not significantly different between the three-seasonal influenza epidemic periods (p = 0.5). The distribution of influenza strains among study groups is presented in Table 2.
Table 2

Influenza strains distribution among main study groups.

Community-acquired pneumoniaSevere acute symptomsPatients with underlying conditions for severe influenzaP
n = 177n = 447n = 160
n%n%n%
Positive influenza5229.411525.74628.80.6
Influenza A2514.16915.42012.50.7
Influenza A H3N22111.96013.41716.60.6
Influenza A H1N195.1285.6850,9
Influenza B2212.4306.72113.10.02

Bacteriological results

Among the patients with virological samples, 92/784 (11.7%) had positive blood or respiratory bacteriological samples: Community acquired pneumonia: 32/177 (18%); Severe acute symptoms: 58/447 (13%); Patients with underlying conditions for severe influenza: 2/160 (1.3%). Streptococcus pneumonia (36/92 (39.1%) and Staphylococccus aureus 24/92 (26.1%) were the most common pathogens. Haemophilus influenza, Klebsiella pneumonia, Mycoplasma pneumonia, Pseudomonas aeruginosa and Streptococcus pyogenes explain the remaining isolates. Procalcitonin tests according to study groups were as follows (n (% of patients with procalcitonin >0.15μg/L), mean±SD (patients with procalcitonin >0.15μg/L): Community acquired pneumonia: 48/177 (27.1%), 0.1.9±2.2; Severe acute symptoms: 148/447 (33.1%), 2.2±4.1; Patients with underlying conditions for severe influenza: 24/160 (15%), 0.2±0.4. Both differences were significant between study groups (p = 0.000006 and p<0.0001).

Severity criteria as a function of influenza infection

Comparisons of frequency of severity criteria with regard to Influenza virus virological results are presented in Table 3. There was no difference between patients with positive samples and those with negative samples.
Table 3

Frequency of severity criteria as a function of influenza results.

Negative influenzaPositive influenzaP
n = 571n = 213
n%n%
Polypnea8214.4%3918.3%0.2
Cyanosis193.3%62.8%0.7
Oxygen saturation Spa02 < 95%28049%10750.20.8
Pneumonia symptoms and signs14926.1%5726.7%0.3
Wheeze16228.4%6831.9%0.3
Tachycardia9216.1%2612.20.2
Hypotension356.1%146.6%0.8
Areas of mottled skin274.7%125.6%0.6
Discomfort203.594.2%0.6
Changes in mental status213.7%136.1%0.1
Oliguria20.35%31.4%0.09
At least one of the above40170.2%15170.90,9
Positive bacteriological sample315.4%6128.6%0.000004

Final disposition decision

Overall, 538/774 (71.1%) patients were admitted, 48 (6.2%) in ICU and 490 (63.3%) in medical ward. The ICU and medical ward admission rates as a function of study groups and Influenza results are presented in Table 4. There was no difference between the groups with regard to the virological results. Positive bacteriological sample and positive PCT value were not associated with final disposition decision (Table 4). In total, 11/784 (1.4%) patients died within the first 48 hours.
Table 4

Impact of influenza-positive virological samples on final disposition decision.

Intensive care unitMedical wardDischargedP
n (%)n (%)n (%)
All groups0.5
Negative influenza36 (6.3%)361 (63.2%)165 (28.9%)
Positive influenza12 (5.6%)129 (60.6%)71 (33.3%)
Community-acquired pneumonia0.9
Negative influenza4 (3.2%)91 (72.8%)29 (23.2%)
Positive influenza2 (3.9%)36 (69.2%)14 (26.9%)
Severe acute symptoms0.5
Negative influenza30 (9.3%)213 (65.7%)81 (25%)
Positive influenza9 (7.9%)78 (68.4%)27 (23.7%)
Respiratory0.8
Negative influenza16 (8.8%)121 (66.5%)45 (24.7%)
Positive influenza8 (10.7%)51 (68%)16 (21.3%)
Hemodynamic0.5
Negative influenza4 (17.4%)14 (60.9%)5 (21.7%)
Positive influenza1 (20%)4 (80%)0 (0%)
Cardiac0.2
Negative influenza10 (19.2%)31 (59.6%)11 (21.2%)
Positive influenza0 (0%)11 (73.3%)4 (26.7%)
Miscellaneous0.8
Negative influenza0 (0%)47 (70.2%)20 (29.9%)
Positive influenza0 (0%)12 (63.2%)7 (36.8%)
Patients with underlying conditions for severe Influenza0.1
Negative influenza2 (1.8%)57 (50%)55 (48.3%)
Positive influenza1 (2.2%)15 (32.6%)30 (65.2%)
Positive bacteriological sample0.4
Negative influenza22 (71%)8 (25.6%)1 (3.2%)
Positive influenza46 (75.4%)14 (23%)1 (1.6%)

Discussion

The results of our study indicate that the frequency of influenza-positive samples taken from symptomatic patients who presented at the ED was between 25.7% and 29.4%. Numerous clinical reasons for presentation at the ED were associated with influenza viruses, including acute decompensation of chronic cardiac and respiratory diseases, as well as acute episodes of community acquired pneumonia and respiratory and hemodynamic distress. It has been reported that the frequency of the lung disease, the hospitalization rate and the mortality associated with Influenza-related pneumonia is increasing [20]. The frequency of lung damage is higher in patients with underlying cardiac or pulmonary diseases [21,22] and Influenza has been associated with increased mortality [23]. In the present study, 58% of the patients had at least one underlying condition for severe influenza [18], and 59% of patients had at least one severity criteria [19]. Respiratory distress was the main symptom, with up to 45% of patients exhibiting signs of clinically significant respiratory distress. It has previously been reported that 16% of cases of seasonal influenza occur in clinical pulmonary patients [24], 36% may develop acute pneumonia [24,25] and 20% may develop respiratory failure [25-28]. Our data support this finding, in that, among the proven cases of influenza virus, 49.2% had CAP, 25.8% had SAS with acute pneumonia, and up to 50% of patients had signs of respiratory distress. Neurological, hemodynamic, and cardiovascular complications have also previously been described in the context of severe infections that have been complicated by influenza [27,28]; in the present study, 12% of patients with influenza had hemodynamic disorders and 6% had neurological disorders. Some of the sepsis-like events that were observed in the group with hemodynamic failure could be related to frequent bacterial superinfection, which has been described in such patients [29]. Whereas only 5.6% of the patients with negative Influenza test had a bacterial coinfection, this figure reached 28.6% of patients with positive Influenza test. This feature indicates that Influenza may facilitate bacterial infection as previously resported [30]. Otherwise, bacterial coinfection was clearly more frequent in Community acquired pneumonia and Severe acute symptoms groups, both more frequently associated with severity criteria. However, coinfection was not associated with increased ICU and Medical ward admission rates. It has been reported that coinfection was frequently associated with severity criteria and ICU admission [31]. We found that the overall influenza positivity rate was 27.2%, and that, according to the reason for presentation in the ED (CAP 29.4%, SAS 25.7%, and PSSI 28.8%), the rates observed in the different groups were not significantly different. With regard to the final diagnostic categories (asthma (26%), EA-COPD (20.9%), HIV 5/21 (23.8%), and acute cardiac failure (25.2%) a high frequency was observed, but there was no difference between these categories. Our results indicate a higher frequency than that which was found in the few previous studies conducted in the ED, where, during the flu epidemic, the positivity rate of respiratory samples was low [32]. Our study shows that the positivity rates of respiratory specimens are very similar between patients with clinical symptoms suggestive of influenza than in patients with acute decompensation of chronic diseases. Most importantly, some of these clinical features are not usually recognized as being associated, or possibly associated, with the influenza virus. It has previously been reported that the influenza virus has been isolated in 2.2% to 18% of people with CAP [11-13] and in 5% of people with severe acute respiratory infection admitted to ICU [33]. In the present study, the medical ward and ICU admission rates of people who had influenza-positive virus samples were 71.8% and 3.4%, respectively, while previously reported admission rates to MSW and ICU were 26% [12] and 15% [26,34], respectively. We found that the positivity of the influenza virus samples did not increase the frequency of the severity criteria or the rate of admissions to MSW or ICU, which corresponds to the results of previous studies [32,35]. An increase in ED attendance and hospitalizations due to decompensation of respiratory and cardiac pathologies during the winter period have previously been reported, but no direct link with epidemic influenza episodes was established [20,29]. Viruses can account for 30% of cardiac decompensations, but the influenza virus was isolated in only 3% of patients in an earlier study [14]. In the present study, up to 30% of episodes of acute cardiac failure, asthma, and AE-COPD were associated with the influenza virus. Our results indicate that influenza may account for 17%–29% of patients with severity criteria.

Strengths and limitations

Ours was a monocentric study in an urban environment in a large city in Europe. Thus, our results cannot be generalized and require local assessments. It is accepted that clinical variables are insensitive and non-specific in predicting influenza [26,36-38], with worse results in adults and the elderly [34]. Therefore, among the non-tested patients, a number may have had undocumented influenza, which could alter the reported rates. The isolation of respiratory viruses is possible in asymptomatic individuals but Influenza detection is likely associated with the illness under evaluation [39]. Thus, positive samples can be considered clinically significant. Otherwise, the sample size was sufficient to evaluate the distribution of positive viral samples among the study groups, and the rates of inclusion and withdrawals appeared to be satisfactory.

Conclusion

Our findings indicate that, during seasonal influenza epidemic episodes, 25–30% of emergency cases have positive influenza specimens, and this applies both to people experiencing symptoms that are suggestive of influenza and to people with acute respiratory infectious episodes, or episodes of respiratory, cardiac, or hemodynamic failure. High rates of medical ward and ICU hospitalizations amongst our entire population and the frequency of influenza virus among people whose clinical picture is not usually associated with influenza suggests that the risk of nosocomial influenza transmission must be considered as high during seasonal epidemic periods. As nosocomial influenza is currently recognized as an emerging concern [38], indications of isolation and treatment should be extended to these clinical situations during times of influenza epidemics. Our study thus opens up new prospects for research on indications of treatment and nosocomial transmission of influenza in the ED and hospital stay after through ED admission.
  37 in total

1.  The burden of influenza-associated critical illness hospitalizations.

Authors:  Justin R Ortiz; Kathleen M Neuzil; David K Shay; Tessa C Rue; Moni B Neradilek; Hong Zhou; Christopher W Seymour; Laura G Hooper; Po-Yung Cheng; Christopher H Goss; Colin R Cooke
Journal:  Crit Care Med       Date:  2014-11       Impact factor: 7.598

2.  TGF-β Blood Levels Distinguish Between Influenza A (H1N1)pdm09 Virus Sepsis and Sepsis due to Other Forms of Community-Acquired Pneumonia.

Authors:  Erick J Rendón-Ramirez; Alejandro Ortiz-Stern; Corazon Martinez-Mejia; Mario C Salinas-Carmona; Adrian Rendon; Viviana L Mata-Tijerina; Adrian G Rosas-Taraco
Journal:  Viral Immunol       Date:  2015-04-29       Impact factor: 2.257

3.  Influenza circulation and the burden of invasive pneumococcal pneumonia during a non-pandemic period in the United States.

Authors:  Nicholas D Walter; Thomas H Taylor; David K Shay; William W Thompson; Lynnette Brammer; Scott F Dowell; Matthew R Moore
Journal:  Clin Infect Dis       Date:  2010-01-15       Impact factor: 9.079

4.  Viruses and Gram-negative bacilli dominate the etiology of community-acquired pneumonia in Indonesia, a cohort study.

Authors:  Helmia Farida; M Hussein Gasem; Agus Suryanto; Monique Keuter; Nasirun Zulkarnain; Bambang Satoto; Annemiek A van der Eijk; R Djokomoeljanto; Hendro Wahyono; Henri A Verbrugh; Juliëtte A Severin; Peterhans J van den Broek
Journal:  Int J Infect Dis       Date:  2015-08-06       Impact factor: 3.623

5.  Clinical and Radiographic Comparison of Influenza Virus-associated Pneumonia among Three Viral Subtypes.

Authors:  Takashi Ishiguro; Noboru Takayanagi; Tetsu Kanauchi; Ryuji Uozumi; Eriko Kawate; Yotaro Takaku; Naho Kagiyama; Yoshihiko Shimizu; Toshiko Hoshi; Satoshi Morita; Yutaka Sugita
Journal:  Intern Med       Date:  2016-04-01       Impact factor: 1.271

Review 6.  Do we have enough evidence how seasonal influenza is transmitted and can be prevented in hospitals to implement a comprehensive policy?

Authors:  Roger E Thomas
Journal:  Vaccine       Date:  2016-05-09       Impact factor: 3.641

7.  Pneumonia among adults hospitalized with laboratory-confirmed seasonal influenza virus infection-United States, 2005-2008.

Authors:  Shikha Garg; Seema Jain; Fatimah S Dawood; Michael Jhung; Alejandro Pérez; Tiffany D'Mello; Arthur Reingold; Ken Gershman; James Meek; Kathryn E Arnold; Monica M Farley; Patricia Ryan; Ruth Lynfield; Craig Morin; Joan Baumbach; Emily B Hancock; Shelley Zansky; Nancy Bennett; Ann Thomas; William Schaffner; Lyn Finelli
Journal:  BMC Infect Dis       Date:  2015-08-26       Impact factor: 3.090

8.  Should clinical case definitions of influenza in hospitalized older adults include fever?

Authors:  Ann R Falsey; Andrea Baran; Edward E Walsh
Journal:  Influenza Other Respir Viruses       Date:  2015-08       Impact factor: 4.380

9.  Impact of seasonal and pandemic influenza on emergency department visits, 2003-2010, Ontario, Canada.

Authors:  Dena L Schanzer; Brian Schwartz
Journal:  Acad Emerg Med       Date:  2013-04       Impact factor: 3.451

10.  Adults hospitalised with acute respiratory illness rarely have detectable bacteria in the absence of COPD or pneumonia; viral infection predominates in a large prospective UK sample.

Authors:  Tristan W Clark; Marie-jo Medina; Sally Batham; Martin D Curran; Surendra Parmar; Karl G Nicholson
Journal:  J Infect       Date:  2014-08-06       Impact factor: 6.072

View more
  10 in total

1.  Influenza virus infection: an approach to identify predictors for in-hospital and 90-day mortality from patients in Vienna during the season 2017/18.

Authors:  E Pawelka; Mario Karolyi; S Daller; C Kaczmarek; H Laferl; I Niculescu; B Schrader; C Stütz; A Zoufaly; C Wenisch
Journal:  Infection       Date:  2019-06-15       Impact factor: 3.553

2.  Seasonality and clinical impact of human parainfluenza viruses.

Authors:  Philip Maykowski; Marie Smithgall; Philip Zachariah; Matthew Oberhardt; Celibell Vargas; Carrie Reed; Ryan T Demmer; Melissa S Stockwell; Lisa Saiman
Journal:  Influenza Other Respir Viruses       Date:  2018-08-29       Impact factor: 4.380

3.  Enhanced IL-1β production is mediated by a TLR2-MYD88-NLRP3 signaling axis during coinfection with influenza A virus and Streptococcus pneumoniae.

Authors:  Angeline E Rodriguez; Christopher Bogart; Christopher M Gilbert; Jonathan A McCullers; Amber M Smith; Thirumala-Devi Kanneganti; Christopher R Lupfer
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

Review 4.  Influenza and Viral Pneumonia.

Authors:  Rodrigo Cavallazzi; Julio A Ramirez
Journal:  Clin Chest Med       Date:  2018-12       Impact factor: 2.878

5.  Is there a clinical difference between influenza A and B virus infections in hospitalized patients? : Results after routine polymerase chain reaction point-of-care testing in the emergency room from 2017/2018.

Authors:  Mario Karolyi; Erich Pawelka; Simon Daller; Caroline Kaczmarek; Hermann Laferl; Iulia Niculescu; Birte Schrader; Christian Stütz; Alexander Zoufaly; Christoph Wenisch
Journal:  Wien Klin Wochenschr       Date:  2019-06-18       Impact factor: 1.704

6.  Analysis of Emergency Department Visits and Hospital Activity during Influenza Season, COVID-19 Epidemic, and Lockdown Periods in View of Managing a Future Disaster Risk: A Multicenter Observational Study.

Authors:  Enrique Casalino; Christophe Choquet; Donia Bouzid; Olivier Peyrony; Sonja Curac; Eric Revue; Jean-Paul Fontaine; Patrick Plaisance; Anthony Chauvin; Daniel Aiham Ghazali
Journal:  Int J Environ Res Public Health       Date:  2020-11-10       Impact factor: 3.390

Review 7.  Characteristics of viral pneumonia in the COVID-19 era: an update.

Authors:  P Pagliano; C Sellitto; V Conti; T Ascione; Silvano Esposito
Journal:  Infection       Date:  2021-03-29       Impact factor: 3.553

8.  Molecular Evidence of Coinfection with Acute Respiratory Viruses and High Prevalence of SARS-CoV-2 among Patients Presenting Flu-Like Illness in Bukavu City, Democratic Republic of Congo.

Authors:  Patrick Bisimwa Ntagereka; Rodrigue Ayagirwe Basengere; Tshass Chasinga Baharanyi; Théophile Mitima Kashosi; Jean-Paul Chikwanine Buhendwa; Parvine Basimane Bisimwa; Aline Byabene Kusinza; Yannick Mugumaarhahama; Dieudonne Wasso Shukuru; Simon Baenyi Patrick; Ronald Tonui; Ahadi Bwihangane Birindwa; Denis Mukwege
Journal:  Can J Infect Dis Med Microbiol       Date:  2022-04-09       Impact factor: 2.585

9.  Comparing the Cytokine Storms of COVID-19 and Pandemic Influenza.

Authors:  Lynette Miroslava Pacheco-Hernández; Jazmín Ariadna Ramírez-Noyola; Itzel Alejandra Gómez-García; Sergio Ignacio-Cortés; Joaquín Zúñiga; José Alberto Choreño-Parra
Journal:  J Interferon Cytokine Res       Date:  2022-06-07       Impact factor: 3.657

Review 10.  Neutrophil subsets and their differential roles in viral respiratory diseases.

Authors:  Yuning Zhang; Quanbo Wang; Charles R Mackay; Lai Guan Ng; Immanuel Kwok
Journal:  J Leukoc Biol       Date:  2022-01-18       Impact factor: 6.011

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.