scholarly journals Mycoplasma pneumonia among children with acute respiratory infection

2021 ◽  
Vol 8 (3) ◽  
pp. 550
Author(s):  
Anjali Ann Chacko ◽  
Ramaraj Subbiah ◽  
Tharun C. Varghese ◽  
Kundoly Velayudhan Susheela

Background: Acute respiratory infection (ARI) is one of the leading causes of mortality and morbidity in children. Mycoplasma pneumonia remains the most common species causing ARI in school going children. IgM ELISA is considered as the single most appropriate test for diagnosis of acute mycoplasma pneumonia infection. Objectives of the study was to assess the proportion of mycoplasma pneumonia among children aged 2-12 years admitted with ARI using IgM ELISA kit.Methods: Study design included prospective descriptive study. Study carried out at Amala institute of medical sciences, Thrissur, Kerala, India. Study period from January 2019 to June 2020. Inclusion criteria included all children between age group 2-12 years admitted in paediatrics department with clinical features of ARI. Exclusion criteria excluded parents/patients who are not willing to participate in the study and patients who are known cases of reactive airway disease. A total of 124 children, aged 2-12 years with clinical features of ARI admitted during January 2019 to June 2020 were included in this study. This was to know the proportion of Mycoplasma pneumonia among these children using IgM ELISA test kit and to understand their clinical profile.Results: 71 were males. Mean age of children in the study group was 4.4±2.4. IgM ELISA was positive in 9 subjects (7.3%). Sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 50, 85, 40, 89.7 and 79.5% respectively.Conclusions: Prevalence of Mycoplasma pneumonia in our population based on IgM ELISA was 7.3%. Mycoplasma pneumonia IgM ELISA test is superior to cold agglutinin test.

2021 ◽  
Vol 13 (2) ◽  
pp. 53-60
Author(s):  
D. A. Guzhov ◽  
E. A. Elpaeva ◽  
M. A. Egorova ◽  
V. A. Eder ◽  
I. L. Baranovskya ◽  
...  

Objective: to analyze the epidemiological and clinical features of acute respiratory infections occurring during the St. Petersburg 2017-2018 and 2018-2019 epidemic seasons.Materials and methods: the study included 457 patients, treated in St. Petersburg clinics from 2017-2019, displaying symptoms of acute respiratory infection (ARI), including evaluation of their clinical histories. Pathogen types were determined by polymerase chain reaction (PCR). Data analysis was carried out using mathematical statistics methods using the Statistica 10 software package (StatSoft Inc.).Results: in this study, we examined the epidemiological and clinical features of acute respiratory infections in St. Petersburg occurring during two epidemic seasons, 2017-2018 and 2018-2019. The 2017-2018 season was characterized by a prevalence of infections caused by influenza B viruses and influenza A subtype H3N2 viruses. In the 2018-2019 season, there was a greater number of acute respiratory viral infections (ARVIs) and infections caused by influenza A subtype H1N1pdm; influenza B virus was detected only in isolated cases. In the 2017-2018 sore throats and muscle aches were a characteristic symptom of influenza A H1N1pdm infections, of bacterial infections – only sore throats. It was shown that throat pain and vasodilation of the scleral and soft palate vessels were significantly more frequent in the 2017-2018 season, compared to the 2018-2019 season. Cough and redness of the posterior pharyngeal wall were hallmark signs of ARVIs in the 2018-2019 season.Conclusion: according to the data, each epidemic season is characterized not only by its own type-specific acute respiratory infection frequencies, but also by different clinical manifestation frequencies. For global monitoring, treatment effectiveness evaluation, and refined study of acute respiratory infection clinical features, it is advisable to use approaches which incorporate accurate, specific, and rapid molecular biological methods capable of identifying a broad range of pathogens.


2020 ◽  
Vol 12 (4) ◽  
pp. 65-71
Author(s):  
D. A. Guzhov ◽  
E. A. Elpaeva ◽  
M. A. Egorova ◽  
V. A. Eder ◽  
I. L. Baranovskaya ◽  
...  

Objective: to analyze the epidemiological and clinical features of acute respiratory infections occurring during the St. Petersburg 2017–2018 and 2018–2019 epidemic seasons.Materials and methods: the study included 457 patients, treated in St. Petersburg clinics from 2017–2019, displaying symptoms of acute respiratory infection (ARI), including evaluation of their clinical histories. Pathogen types were determined by polymerase chain reaction (PCR). Data analysis was carried out using mathematical statistics methods using the Statistica 10 software package (StatSoft Inc.).Results: in this study, we examined the epidemiological and clinical features of acute respiratory infections in St. Petersburg occurring during two epidemic seasons, 2017–2018 and 2018–2019. The 2017–2018 season was characterized by a prevalence of infections caused by influenza B viruses and influenza A subtype H3N2 viruses. In the 2018–2019 season, there was a greater number of acute respiratory viral infections (ARVIs) and infections caused by influenza A subtype H1N1pdm; influenza B virus was detected only in isolated cases. In the 2017–2018 sore throats and muscle aches were a characteristic symptom of influenza A H1N1pdm infections, of bacterial infections – only sore throats. It was shown that throat pain and vasodilation of the scleral and soft palate vessels were significantly more frequent in the 2017–2018 season, compared to the 2018–2019 season. Cough and redness of the posterior pharyngeal wall were hallmark signs of ARVIs in the 2018–2019 season.Conclusion: according to the data, each epidemic season is characterized not only by its own type-specific acute respiratory infection frequencies, but also by different clinical manifestation frequencies. For global monitoring, treatment effectiveness evaluation, and refined study of acute respiratory infection clinical features, it is advisable to use approaches which incorporate accurate, specific, and rapid molecular biological methods capable of identifying a broad range of pathogens. 


1994 ◽  
Vol 12 (4) ◽  
pp. 793-797 ◽  
Author(s):  
G Nadali ◽  
F Vinante ◽  
A Ambrosetti ◽  
G Todeschini ◽  
D Veneri ◽  
...  

PURPOSE To evaluate the serum levels of the soluble form of the CD30 molecule (sCD30) in patients with Hodgkin's disease (HD) to establish whether there is a correlation with clinical features at presentation and prognosis. PATIENTS AND METHODS The sCD30 serum levels of 117 patients were measured at diagnosis with a commercial sandwich enzyme-linked immunoadsorbent assay (ELISA) test kit, and in 78 of these patients the sCD30 levels were also recorded during the follow-up period. RESULTS sCD30 levels at diagnosis were increased (> 20 U/mL) in a high proportion of patients (87.2%; mean +/- SD, 108 +/- 134 v 5.3 +/- 5.7 U/mL in controls, P < .0001) and correlated with stage (stages I + II, 73 +/- 97 U/mL; III + IV, 162 +/- 165 U/mL; P < .0001), with presence of B symptoms (stage A, 69 +/- 82 U/mL; stage B, 162 +/- 171 U/mL; P < .0001), and, to some extent, with tumor burden (bulky presentation, 141 +/- 129 U/mL; nonbulky, 91 +/- 133 U/mL; P = .058). Patients with sCD30 levels greater than 100 U/mL at diagnosis had a significantly higher rate of poor outcome in terms of failure to achieve a complete remission (CR) or disease relapse after CR achievement. In fact, the event-free survival (EFS) duration of patients with sCD30 levels greater than 100 U/mL was significantly worse (P = .0016). Using multivariate analysis, an sCD30 level greater than 100 U/mL retained its significance after adjustment for other prognostic parameters. CONCLUSION sCD30 in HD at presentation strictly correlates with clinical features. Serum levels greater than 100 U/mL at diagnosis entail a significantly higher risk of treatment failure, a factor that is independent of other prognostic parameters.


1996 ◽  
Vol 70 (8) ◽  
pp. 808-814
Author(s):  
Masayuki TSUJIMOTO ◽  
Masayoshi SAWAKI ◽  
Keiichi MIKASA ◽  
Mitsuru KONISHI ◽  
Kaoru HAMADA ◽  
...  

2020 ◽  
Vol 99 (4) ◽  
pp. 117-126
Author(s):  
B.M. Blokhin ◽  
◽  
I.P. Lobushkova ◽  
A.S. Suyundukova ◽  
A.D. Prokhorova ◽  
...  

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