Evaluation of the diagnostic usefulness of real-time PCR for detection of Chlamydophila pneumoniae in acute respiratory infections

2007 ◽  
Vol 13 (3) ◽  
pp. 183-187 ◽  
Author(s):  
Naoyuki Miyashita ◽  
Yasushi Obase ◽  
Minoru Fukuda ◽  
Hisashi Shouji ◽  
Koichiro Yoshida ◽  
...  
2013 ◽  
Vol 28 (4) ◽  
pp. 168-174
Author(s):  
E. I. Sergeeva ◽  
V. A. Ternovoi ◽  
O. K. Demina ◽  
A. V. Demina ◽  
D. V. Korneev ◽  
...  

2019 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Niloofar Neisi ◽  
Samaneh Abbasi ◽  
Manoochehr Makvandi ◽  
Shokrollah Salmanzadeh ◽  
Somayeh Biparva ◽  
...  

2020 ◽  
Vol 25 (4) ◽  
pp. 480-489
Author(s):  
Meryem Çolak ◽  
Anıl Aktaş Tapısız ◽  
Özlem Güzel Tunçcan ◽  
Gülendam Bozdayı

Introduction: Coronaviruses are the agents of viral respiratory infections and cause severe respiratory infections, especially in the elderly, those with chronic disease and immunocompromised patients. The aim of this study was to determine the positive and common types of Coronaviridae family in patients admitted to our hospital in the four-year period before the COVID 19 pandemic (2016-2020) and to investigate the distribution of coronavirus positivity by age groups, months, seasons and years. Materials and Methods: Between February 2016 and January 2020, clinical samples of 1164 female (45%) and 1428 (55%) male patients were sent to the molecular virology laboratory from the various clinics of Gazi University, Faculty of Medicine Hospital due to symptoms of acute respiratory tract infection. Coronaviridae family positivity was investigated retrospectively in clinical samples of 2592 patients aged 0-101 years. Nucleic acid extraction from the clinical samples was performed with the ‘EZ1 Virus Mini Kit’. For viral DNA amplification, it was performed by multiplex Real-Time PCR method using ‘FTD Respiratory Pathogen 21’ test. Statistical analysis of the distribution of coronavirus positivity by age groups, months, seasons and years was done by SPSS 20.0 computer program. Results: Two hundred and twenty-nine (8.8%) of the clinical samples were found to be positive for any Coronavirus type. The most common type of Coronavirus was found to be CoV-229E with 52% (119/229). The distribution of other coronavirus types including CoV-HKU1, CoV-OC43 and CoV-NL63 was determined as 19.2% (44/229), 17.4% (40/229) and 14% (32/229) respectively, and the most common type of Coronavirus changed from year to year. Single Coronavirus positivity was found to be 48.1%, its association with other viruses was 51.9%. The highest coinfection of Coronavirus was found in Rhinovirus (35.3%) and influenza A virus (19.3%). Patients over 60 years of age were found to have a higher rate (30.6%) positivity compared to other age groups (p< 0.05). The highest rate of Coronavirus positivity was observed in January (17.4%) and the lowest rate in June (1.7%). It was observed that the highest rate of positivity (44.2%) was in winter and the lowest rate (8.2%) was in summer (p< 0.05). Coronaviruses were found to be detected at higher rates in winter with seasonal variation (p< 0.05). Conclusion: Since it is not possible to diagnose viral respiratory tract infections based on clinical findings, viral respiratory panel and Multiplex real time PCR test is a fast and useful method in routine diagnosis for early diagnosis and treatment and to prevent unnecessary use of antibiotics. Coronaviridae family positivity is seen in patients over 60 years of age and in seasonal variation, with higher rates in winter.


2006 ◽  
Vol 21 (3) ◽  
Author(s):  
S. Grosso ◽  
V. Lucini ◽  
M. Pannacci ◽  
S. Malandrin ◽  
F. Scaglione

Pulse ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 15-21
Author(s):  
MM Rahman ◽  
R Rahim ◽  
F Nasrin ◽  
AH Rasel ◽  
A Khaled ◽  
...  

Aim: Nontuberculous mycobacterium (NTM) causes many types of infections including respiratory and non-respiratory infections such as skin and soft tissue infections, lymphadenitis, meningitis, gastro-intestinal infections, disseminated infections and even intravenous catheter-related infections. Increasing incidence of NTM is reported worldwide in last decade. However, incidence of NTM in Bangladesh is not known as detection of NTM is not undergoing in Bangladesh which is necessary to know as these NTM species are resistant to first-line anti-TB drugs and, when mistaken for M. tuberculosis, give rise to erroneous identification of multidrug-resistant TB (MDR-TB). We wanted to know the existence of NTM from various clinical specimens including tissues from tuberculosis suspected patients visited in Apollo Hospitals Dhaka in 2013 to 2015.Material and Method: Sample processing, DNA extraction and real time PCR (polymerase chain reaction) were done according to the commercial LyteStar TB/NTM PCR kit developed by Altona Diagnostics, Germany. The target DNA sequences are amplified with IS61 10-specific primers for MTB complex and ITS-specific primers for NTM. Probes specific for MTB complex and NTM DNA are labeled with fluorophore dye FAM and HEX, respectively. We have analyzed 579 clinical specimens from tuberculosis suspected patient.Result: Among 579 specimen different types of tissues were 201 and histopathology data were available for 166 cases. In tissues NTM was detected by PCR in 3 1(19%) cases, 8 of which were compatible with histopathology findings and rest 23 cases showed no evidence of granulomatous lesion. We analyzed 378 different varieties of clinical specimens such as sputum, bronchial lavages, body fluids, pus and swabs. Among 378 samples 215 samples were requested for AFB staining. NTM was detected by PCR in 19(8.8%) samples and out of 19 NTM positive specimens only one was AFB positive.Conclusion: This is the first report in the country about detection of NTM in variety of clinical specimens and warrants further elaborate investigation. Our results showed that PCR is an effective tool for the rapid identification of NTM from tissues and AFB negative clinical specimens having suspicion for mycobacterial infection.Pulse Vol.9 January-December 2016 p.15-21


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