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RISS 인기검색어
- 검색키워드
- 저자 : Vishnubhatla Sreenivas (검색결과 3 건)
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( Saurabh Kedia ),( Raju Sharma ),( Vishnubhatla Sreenivas ),( Kumble Seetharama Madhusudhan ),( Vishal Sharma ),( Sawan Bopanna ),( Venigalla Pratap Mouli ),( Rajan Dhingra ),( Dawesh Prakash Yadav ) 대한장연구학회 2017 Intestinal Research Vol.15 No.2
Abdominal computed tomography (CT) can noninvasively image the entire gastrointestinal tract and assess extraintestinal features that are important in differentiating Crohn`s disease (CD) and intestinal tuberculosis (ITB). The present meta-analysis pooled the results of all studies on the role of CT abdomen in differentiating between CD and ITB. We searched PubMed and Embase for all publications in English that analyzed the features differentiating between CD and ITB on abdominal CT. The features included comb sign, necrotic lymph nodes, asymmetric bowel wall thickening, skip lesions, fibrofatty proliferation, mural stratification, ileocaecal area, long segment, and left colonic involvements. Sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio (DOR) were calculated for all the features. Symmetric receiver operating characteristic curve was plotted for features present in >3 studies. Heterogeneity and publication bias was assessed and sensitivity analysis was performed by excluding studies that compared features on conventional abdominal CT instead of CT enterography (CTE). We included 6 studies (4 CTE, 1 conventional abdominal CT, and 1 CTE+conventional abdominal CT) involving 417 and 195 patients with CD and ITB, respectively. Necrotic lymph nodes had the highest diagnostic accuracy (sensitivity, 23%; specificity, 100%; DOR, 30.2) for ITB diagnosis, and comb sign (sensitivity, 82%; specificity, 81%; DOR, 21.5) followed by skip lesions (sensitivity, 86%; specificity, 74%; DOR, 16.5) had the highest diagnostic accuracy for CD diagnosis. On sensitivity analysis, the diagnostic accuracy of other features excluding asymmetric bowel wall thickening remained similar. Necrotic lymph nodes and comb sign on abdominal CT had the best diagnostic accuracy in differentiating CD and ITB. (Intest Res 2017;15:149-159)
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Utility of 16S rRNA PCR in the Synovial Fluid for the Diagnosis of Prosthetic Joint Infection
Sujeesh Sebastian,Rajesh Malhotra,Vishnubhatla Sreenivas,Arti Kapil,Rama Chaudhry,Benu Dhawan 대한진단검사의학회 2018 Annals of Laboratory Medicine Vol.38 No.6
Conventional culture has been the mainstay for diagnosing prosthetic joint infections (PJIs), with synovial fluid and periprosthetic tissue samples being the preferred sample types [1]. However, culture-based methods often give false-negative results in patients with a high likelihood of PJI [2]. To overcome the limitations of culture methods, molecular techniques like universal 16S rRNA gene and pathogen-specific PCRs were developed for PJI diagnosis [2, 3]. Although PCR assays have shown satisfactory results in tests of periprosthetic tissue samples and sonication fluid, the diagnostic utility of PCR is less clear in tests of the synovial fluid [2-4]. Most studies that evaluated the utility of 16S rRNA PCR in the synovial fluid for diagnosing PJI have not used the Musculoskeletal Infection Society (MSIS) consensus criteria as the gold standard for PJI [2, 5]. Therefore, we evaluated the utility of 16S rRNA PCR in the synovial fluid for diagnosing PJI using MSIS criteria.
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Stroke in Coronavirus Disease 2019: A Systematic Review
Rohit bhatia,Radhakrishna Pedapati,Snigdha Komakula,M.V. Padma Srivastava,Sreenivas Vishnubhatla,Dheeraj Khurana 대한뇌졸중학회 2020 Journal of stroke Vol.22 No.3
Background and Purpose Various neurological findings including stroke in patients with coronavirus disease 2019 (COVID-19) have been described, although no clarity exists regarding the nature and pattern of this association. This systematic review aims to report the characteristics of stroke in patients with COVID-19. Methods Three authors independently searched Web of Science, Embase, Scopus, and PubMed starting from inception up to May 22, 2020. The data for individual patients was extracted where available from published reports including clinical and laboratory parameters and analysed for any significant associations between variables. Results We identified 30 relevant articles involving 115 patients with acute or subacute stroke with COVID-19. The mean±standard deviation age was 62.5±14.5 years. Stroke was ischemic in majority of the patients (101 [87.8%]). Hypertension (42 [42%]), dyslipidaemia (24 [26.1%]), and diabetes (23 [23.2%]) were the major vascular risk factors. Most of the patients (80 [85.1%]) had COVID-19 symptoms at the time of stroke with a median interval of 10 days to stroke from the diagnosis of COVID-19. Three-fourths (86 [74.8%]) of the patients were critically ill which frequently delayed the diagnosis of stroke. High levels of D-dimer, and ferritin were observed in these patients. Patients with COVID-19 and stroke had a high mortality (47.9%). Factors associated with mortality were intensive care unit admission, having two or more vascular risk factors, particularly smoking and high levels of D-dimer, C-reactive protein, and lactate dehydrogenase. Conclusions The association between stroke and COVID-19 is probably multifactorial including an amalgamation of traditional vascular risk factors, proinflammatory and a prothrombotic state. Prospectively collected data is required in the future to confirm this hypothesis.
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