scholarly journals Improved detection of Mycobacterium tuberculosis using two independent PCR targets in a tertiary care centre in South India

2011 ◽  
Vol 6 (01) ◽  
pp. 46-52 ◽  
Author(s):  
Ramya Barani ◽  
Gopalsamy Sarangan ◽  
Tessa Antony ◽  
Soundararajan Periyasamy ◽  
Anupma Jyoti Kindo ◽  
...  

Introduction:  Tuberculosis (TB) causes significant morbidity and mortality worldwide as one of the leading infectious diseases. In India, more than 1.8 million new cases occur every year. Rapid and accurate diagnosis of TB would improve patient care and limit its transmission.This study aimed to evaluate a dual target polymerase chain reaction (PCR) diagnostic assay to detect Mycobacterium tuberculosis from pulmonary and extra-pulmonary samples at a tertiary care centre in South India. Methodology: Samples were collected from patients with a low index of suspicion of TB. Acid-fast smears were performed by Auramine O fluorescent microscopy and PCR was performed by using two site-specific primer pairs targeting IS6110 by nested PCR and TRC4 by conventional PCR. Amplified products for IS6110 and/or TRC4 were indicative of M. tuberculosis.Results: Among 114 (19 pulmonary and 95 extra-pulmonary) samples tested by PCR assay, 12 (11%) were positive for both IS6110 and TRC4, of which 11 (10%) were non-respiratory and one was (1%) respiratory in origin. PCR for TRC4 alone was positive for eight (7%) non-respiratory and two (2%) respiratory samples, while IS6110 alone tested positive for six (5%) non-respiratory samples and one (1%) respiratory sample. Of a total of 29 PCR positive samples, 17 (15 %) were acid-fast smear positive. Conclusion: Although the target site of IS6110 is specific for M. tuberculosis, some strains from South India may lack this region. Therefore, the use of an additional target site (TRC4) is required for improved detection of M. tuberculosis.

2020 ◽  
Vol 5 (4) ◽  
pp. S48-S49
Author(s):  
Julius Scott ◽  
Deenadayalan M ◽  
Naresh Shanumgam ◽  
Mukul Vij ◽  
Priya Ramachandran ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Vani Chandrashekar

The aim of this study was to identify common stool parasites in patients attending a tertiary care centre in South India. We evaluated 2355 stool samples and parasites were detected in 7.9% of samples. 41.1% of our patients were in the 45–58-year age group. Protozoal infections were the commonest seen in 7.8% of samples. Entamoeba histolytica was the commonest protozoa (4.6%) followed by Entamoeba coli (1.2%) and Giardia (0.8%). Entamoeba histolytica and Entamoeba coli were together seen in 0.63%, and they were the commonest organisms seen in samples with multiple-organism infection. Both were equally detected in diarrheal samples.


2018 ◽  
Vol 8 (4) ◽  
pp. 195-199
Author(s):  
Sandeep P ◽  
Aparna R. Bitla ◽  
G. Sarvari ◽  
SrinivasaRao PVLN ◽  
N. HariniDevi ◽  
...  

2019 ◽  
Vol 6 (10) ◽  
pp. A544-549
Author(s):  
Priyavadhana Balasubramanian ◽  
◽  
Bhawana Ashok Badhe ◽  
Rajesh Nachiappa Ganesh ◽  
Lakshmi C Panicker ◽  
...  

Author(s):  
Yamini Marimuthu ◽  
Radhika Kunnavil ◽  
NS Anil ◽  
Sharath Burugina Nagaraja ◽  
N Satyanarayana ◽  
...  

COVID-19 is an emerging viral disease affecting more than 200 countries worldwide and it present with varied clinical profile throughout the world. Without effective drugs to cure COVID-19, early identification and control of risk factors are important measures to combat COVID-19.  This study was conducted to determine the clinical profile and risk factors associated with mortality among COVID-19 patients in a tertiary care hospital in South India. This record-based longitudinal study was conducted by reviewing the case records of COVID-19 patients admitted for treatment from June 2020 to September 2020 in a tertiary care centre in South India. The clinical details, discharge/death details, were collected and entered in MS Excel. Potential risk factors for COVID-19 mortality were analysed using univariate binomial logistic regression, generalized linear models (GLM) with Poisson distribution. Survival curves were made using the Kaplan-Meier method. Log-rank test was used to test the equality of survivor functions between the groups. Out of 854 COVID-19 patients, 56.6% were men and the mean (standard deviation) age was 45.3(17.2) years. The median survival time was significantly lesser in male COVID-19 patients (16 days) as compared to female patients (20 days). Increasing age, male gender, patients presenting with symptoms of fever, cough, breathlessness, smoking, alcohol consumption, comorbidities were significantly associated with mortality among COVID-19 patients. Patients with older age, male gender, breathlessness, fever, cough, smoking and alcohol and comorbidities need careful observation and early intervention.  Public health campaigns aimed at reducing the prevalence of risk factors like diabetes, hypertension, smoking and alcohol use are also needed.


Sign in / Sign up

Export Citation Format

Share Document