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- 저자 : Umang, Umang (검색결과 4 건)
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Umang, Umang,Bharti, Pawan Kumar,Husain, Akhtar Korea Genome Organization 2022 Genomics & informatics Vol.20 No.3
Microsatellites or simple sequence repeats are motifs of 1 to 6 nucleotides in length present in both coding and non-coding regions of DNA. These are found widely distributed in the whole genome of prokaryotes, eukaryotes, bacteria, and viruses and are used as molecular markers in studying DNA variations, gene regulation, genetic diversity and evolutionary studies, etc. However, in vitro microsatellite identification proves to be time-consuming and expensive. Therefore, the present research has been focused on using an in-house built java pipeline to identify, analyse, design primers and find related statistics of perfect and compound microsatellites in the seven complete genome sequences of coronavirus, including the genome of coronavirus disease 2019, where the host is Homo sapiens. Based on search criteria among seven genomic sequences, it was revealed that the total number of perfect simple sequence repeats (SSRs) found to be in the range of 76 to 118 and compound SSRs from 01 to10, thus reflecting the low conversion of perfect simple sequence to compound repeats. Furthermore, the incidence of SSRs was insignificant but positively correlated with genome size (R<sup>2</sup> = 0.45, p > 0.05), with simple sequence repeats relative abundance (R<sup>2</sup> = 0.18, p > 0.05) and relative density (R<sup>2</sup> = 0.23, p > 0.05). Dinucleotide repeats were the most abundant in the coding region of the genome, followed by tri, mono, and tetra. This comparative study would help us understand the evolutionary relationship, genetic diversity, and hypervariability in minimal time and cost.
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Predictors of Readmission after Inpatient Plastic Surgery
Umang Jain,Christopher Salgado,Lauren Mioton,Aksharananda Rambachan,John YS Kim 대한성형외과학회 2014 Archives of Plastic Surgery Vol.41 No.2
Background: Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods: The 2011 National Surgical Quality Improvement Program dataset was reviewed forpatients with both “Plastics” as their recorded surgical specialty and inpatient status. Readmissionwas tracked through the “Unplanned Readmission” variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student’s t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results: A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12–3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21–5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22–2.24; P<0.001), bleeding disorders (OR, 1.70; CI, 1.01–2.87; P=0.046), American Society of Anesthesiologists (ASA) class 3 or 4 (OR, 1.57; CI, 1.15–2.15; P=0.004), and obesity (body mass index ≥30) (OR, 1.43; CI, 1.09–1.88, P=0.011) to be significant predictors of readmission. Conclusions: Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.
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The practice of fecal microbiota transplantation in inflammatory bowel disease
Umang Arora,Saurabh Kedia,Vineet Ahuja 대한장연구학회 2024 Intestinal Research Vol.22 No.1
Current evidence posits a central role for gut microbiota and the metabolome in the pathogenesis and progression of inflammatory bowel disease (IBD). Fecal microbiota transplantation (FMT) has been established as a means to manipulate this microbiome safely and sustainably. Several aspects of the technical improvement including pretreatment with antibiotics, use of frozen stool samples as well as short donor-to-recipient time are proposed to improve its response rates. Its efficacy in ulcerative colitis has been proven in clinical trials while data is emerging for Crohn’s disease. This review describes briefly the biology behind FMT, the available evidence for its use in IBD, and the host, recipient and procedural factors which determine the clinical outcomes.
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Predictors of Readmission after Inpatient Plastic Surgery
Jain, Umang,Salgado, Christopher,Mioton, Lauren,Rambachan, Aksharananda,Kim, John Y.S. Korean Society of Plastic and Reconstructive Surge 2014 Archives of Plastic Surgery Vol.41 No.2
Background Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12- 3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21-5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001), bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046), American Society of Anesthesiologists (ASA) class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004), and obesity (body mass index ${\geq}30$) (OR, 1.43; CI, 1.09-1.88, P=0.011) to be significant predictors of readmission. Conclusions Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.
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