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6 results on '"Amini, Ali"'

1. Glandular Odontogenic Cyst – a Case Report

Author

Amini Ali and Manouchehri Shaadi

Subjects
Pathology, medicine.medical_specialty, business.industry, 030206 dentistry, medicine.disease, Developmental cyst, Odontogenic, 03 medical and health sciences, 0302 clinical medicine, Glandular odontogenic cyst, medicine, business, General Dentistry, 030217 neurology & neurosurgery
Abstract

Abstract: A Glandular Odontogenic Cyst (GOC) is a rare developmental cyst of odontogenic origin. Occurrence rate is low, with less than 150 cases reported in the literature thus far. 1 GOCs can be misdiagnosed due to clinicopathological similarities to other odontogenic cysts, including those of a benign and malignant nature. A wide range of ages can be affected, with a mean age of 45.7. 2 The most commonly affected site appears to be the anterior mandible. An unusual presentation of a GOC affecting the right posterior mandible of a 42-year-old male is reported. CPD/Clinical Relevance: This article highlights the importance of appropriate special investigations for a glandular odontogenic keratocyst and treatment modalities.

Published
2020

2. The effects of SARS-CoV-2 on menstruation

Author

Iqrah Aslam, Laila Danesh, Annabel Mensah-Djan, and Amini Ali

Subjects
2019-20 coronavirus outbreak, Letter, Coronavirus disease 2019 (COVID-19), business.industry, SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Obstetrics and Gynecology, COVID-19, Virology, Menstruation, Reproductive Medicine, Medicine, Humans, Female, business, Developmental Biology
Published
2021

3. The Duration, Dynamics, and Determinants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibody Responses in Individual Healthcare Workers

Author

Lumley, Sheila F, Wei, Jia, O’Donnell, Denise, Stoesser, Nicole E, Matthews, Philippa C, Howarth, Alison, Hatch, Stephanie B, Marsden, Brian D, Cox, Stuart, James, Tim, Peck, Liam J, Ritter, Thomas G, de Toledo, Zoe, Cornall, Richard J, Jones, E Yvonne, Stuart, David I, Screaton, Gavin, Ebner, Daniel, Hoosdally, Sarah, Crook, Derrick W, Conlon, Christopher P, Pouwels, Koen B, Walker, A Sarah, Peto, Tim E A, Walker, Timothy M, Jeffery, Katie, Eyre, David W, Abbott, Molly, Abhari, Roxanna, Abuelgasim, Hibatullah, Ahmed-Firani, Tariq, Alhussni, Ahmed, Argles, Isobel, Ashworth, Rebecca, Back, Francesca, Black, Susannah, Brennan, Isabelle, Cansdale, Lottie, Chakravorty, Triya, Choudhury, Zahra, Clay, Helen, Conway-Jones, Rebecca, Curtis, Aisling, Cutteridge, Joseph, Danbury, Hannah, Davies, Hettie, Denly, Lucy, Dequaire, Julie, Dimitrov, Stoyan, Dunlop, Ella, Dunn, Polly, East, Cameron, Eastwood, Ben, Edwardes, Chantal, Evans, Meirian, Fields, Charlotte, Flaherty, Sarah, Foord, Thomas, Freer, Rosie, Fuchs, Hannah, Grassam-Rowe, Alexander, Greenan-Barrett, Lewis, Gunnell, James, Harries, Callum, Harris, Edward, Hatton, Elizabeth, Hennessy, Conor, Holland, Christian, Holloway, Ben, Howgego, Gregory, Barnham, Isaac Jarratt, Johnson, Síle, Johnson, Thomas, Johnstone, Daniela, Jurdon, Rebecca, Kelly, Gabriella, Kerneis, Sven, Khulusi, Beinn, Killen, Annabel, Kourdov, Stefan, Kumarendran, Mary, Laurenson-Schafer, Hannah, Lawrence, Ruby, Lee, Charlotte, Livingstone, Angus, Lynch, Rosie, Madsen, Tara, Manji, Ali, Marsh, James, Mason, Chris, Mccance, Angus, Mcgivern, Euan, Mckinlay, Ailsa, Mighiu, Alexandra, Millar, Lancelot, Mohamed, Yethrib, Motohashi, Kenzo, Myat, San, Nezhentsev, Andrey, O’Byrne, Katherine, Okuwoga, Temitope, Oliver, Madeleine, Pattenden, Saxon, Perera, Vimukthi, Petit, Yva, Pickles, Florence, Pikoula, Maria, Randhawa, Govind, Ravi, Krupa, Reed, Lara, Rigler, Caitlin, Robinson, Charlotte, Rothwell, Evie, Santos-Paulo, Stephanie, Savva, Constantinos, Scharmeli, Alice, Scott, Samuel, Shabir, Zamin, Sharma, Ishta, Sheehan, Remarez, Shibu, Afrah, Somanathan, Arun, Sussmes, Samuel, Sweeney, Owen, Swift, Emily, Tadikamalla, Gayatri, Tamblyn, Morwenna, Taylor, Adan, Naudé, Rebecca Te Water, Thomas, Sarah, Thompson, Connor, Till, Lottie, Toward, Ross, Virgo, Charis, Vorley, Imogen, Waite, Seren, Ward, Harry, Ward, Jocelyn, Watson, Adam, Watson, Lily, Wedlich, Matthew, Wilkins, Laura, Wilson, Jack, Wilson, Joseph, Wong, William, Young, Rebecca, Doherty, George, Kavanagh, James, Chau, Kevin K, Fowler, Philip W, Swann, Jeremy, Volk, Denis, Yang-Turner, Fan, Skelly, Donal, Karpe, Fredrik, Neville, Matt J, Ferreira, Lucas Martins, Christott, Thomas, Rodger, Gillian, Pickford, Hayleah, Cameron, Sarah, Tamblin-Hopper, Phoebe, Amini, Ali, Andersson, Monique, Anson, Karen, Aston, Lisa, Axten, David, Barot, Simran, Bellinger, Trisha, Bialek, Adrian, Bodo, Noemi, Brent, Andrew, Campbell, Mark, Cox, Vanessa, Cronin, Tammy, Davies, Timothy, Deales, Alessio, Downs, Louise, Drennan, Philip, Dudareva, Maria, Gates, Laura, Gates, Michelle, Georgiou, Dominique, Gergely, Bernadett, Holland, Louise, Jones, Nicola, Jones, Sarah, Kerr, Sharon, Lawson, Elaine, Looms, Stacy, Luciw, Michael, Martins, Diva, Mcknight, Mary, Mentzer, Alexander, Millard, Rebecca, Mitchell, Tracey, Morgan, Lisa, Morrow, Jordan, Mortimore, Emma, Mullins, Harriet, Nevard, Heather, O’Donnell, Anne-Marie, Patel, Kaisha, Peto, Leon, Philips, Jane, Ponting, Jessica, Ray, Roshni, Robles, Maria, Rughani, Sonam, Sande, Nellia, Shaw, Robert, Simons, Emma-Jane, Sims, Elizabeth, Smit, Kyla, Smith, Lucianne, Szczurkowska, Justyna, Thompson, Zoe, Turford, Rachel, Vilca, Kim, Vogt, Alexander, Warren, Fiona, Warren, Laura, Wharton, Vicki, Whitty, Alison, Woodley, Heather, Wozniak, Barbara, Young, Bernadette, Justice, Anita, Jesuthasan, Gerald, Wareing, Susan, Fadzillah, Nurul Huda Mohamad, Cann, Kathryn, Kirton, Richard, Sutton, Claire, Salvagno, Claudia, D’Amato, Gabriella, Pill, Gemma, Butcher, Lisa, Rylance-Knight, Lydia, Tabirao, Merline, Moroney, Ruth, Wright, Sarah, and Group, Oxford University Hospitals Staff Testing

Subjects
0301 basic medicine, Microbiology (medical), Adult, medicine.medical_specialty, Health Personnel, Population, Antibodies, Viral, Immunoglobulin G, Serology, 03 medical and health sciences, 0302 clinical medicine, Seroepidemiologic Studies, Internal medicine, Correspondence, Credible interval, Major Article, Seroprevalence, Medicine, Humans, 030212 general & internal medicine, education, Survival analysis, Antibody, education.field_of_study, biology, business.industry, SARS-CoV-2, COVID-19, Bayes Theorem, Waning, Titer, 030104 developmental biology, Infectious Diseases, AcademicSubjects/MED00290, Reinfection, Antibody Formation, biology.protein, Longitudinal, business
Abstract

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) antibody measurements can be used to estimate the proportion of a population exposed or infected and may be informative about the risk of future infection. Previous estimates of the duration of antibody responses vary. Methods We present 6 months of data from a longitudinal seroprevalence study of 3276 UK healthcare workers (HCWs). Serial measurements of SARS-CoV-2 anti-nucleocapsid and anti-spike IgG were obtained. Interval censored survival analysis was used to investigate the duration of detectable responses. Additionally, Bayesian mixed linear models were used to investigate anti-nucleocapsid waning. Results Anti-spike IgG levels remained stably detected after a positive result, for example, in 94% (95% credibility interval [CrI] 91–96%) of HCWs at 180 days. Anti-nucleocapsid IgG levels rose to a peak at 24 (95% CrI 19–31) days post first polymerase chain reaction (PCR)-positive test, before beginning to fall. Considering 452 anti-nucleocapsid seropositive HCWs over a median of 121 days from their maximum positive IgG titer, the mean estimated antibody half-life was 85 (95% CrI 81–90) days. Higher maximum observed anti-nucleocapsid titers were associated with longer estimated antibody half-lives. Increasing age, Asian ethnicity, and prior self-reported symptoms were independently associated with higher maximum anti-nucleocapsid levels and increasing age and a positive PCR test undertaken for symptoms with longer anti-nucleocapsid half-lives. Conclusions SARS-CoV-2 anti-nucleocapsid antibodies wane within months and fall faster in younger adults and those without symptoms. However, anti-spike IgG remains stably detected. Ongoing longitudinal studies are required to track the long-term duration of antibody levels and their association with immunity to SARS-CoV-2 reinfection.

Published
2021

4. Differential occupational risks to healthcare workers from SARS-CoV-2: A prospective observational study

Author

Eyre, David W, Lumley, Sheila F, O’Donnell, Denise, Campbell, Mark, Sims, Elizabeth, Lawson, Elaine, Warren, Fiona, James, Tim, Cox, Stuart, Howarth, Alison, Doherty, George, Hatch, Stephanie B, Kavanagh, James, Chau, Kevin K, Fowler, Philip W, Swann, Jeremy, Volk, Denis, Yang-Turner, Fan, Stoesser, Nicole E, Matthews, Philippa C, Dudareva, Maria, Davies, Timothy, Shaw, Robert H, Peto, Leon, Downs, Louise O, Vogt, Alexander, Amini, Ali, Young, Bernadette C, Drennan, Philip, Mentzer, Alexander J, Skelly, Donal, Karpe, Fredrik, Neville, Matt J, Andersson, Monique, Brent, Andrew J, Jones, Nicola, Ferreira, Lucas Martins, Christott, Thomas, Marsden, Brian D, Hoosdally, Sarah, Cornall, Richard, Crook, Derrick W, Stuart, David, Screaton, Gavin, Peto, Timothy EA, Holthof, Bruno, O’Donnell, Anne-Marie, Ebner, Daniel, Conlon, Christopher P, Jeffery, Katie, and Walker, Timothy M

Subjects
medicine.medical_specialty, business.industry, Psychological intervention, Odds ratio, Logistic regression, Intensive care unit, law.invention, law, Emergency medicine, Health care, Medicine, Observational study, business, Personal protective equipment, Contact tracing
Abstract

BackgroundPersonal protective equipment (PPE) and social distancing are designed to mitigate risk of occupational SARS-CoV-2 infection in hospitals. Why healthcare workers nevertheless remain at increased risk is uncertain.MethodsWe conducted voluntary Covid-19 testing programmes for symptomatic and asymptomatic staff at a UK teaching hospital using nasopharyngeal PCR testing and immunoassays for IgG antibodies. A positive result by either modality determined a composite outcome. Risk-factors for Covid-19 were investigated using multivariable logistic regression.Results1083/9809(11.0%) staff had evidence of Covid-19 at some time and provided data on potential risk-factors. Staff with a confirmed household contact were at greatest risk (adjusted odds ratio [aOR] 4.63 [95%CI 3.30-6.50]). Higher rates of Covid-19 were seen in staff working in Covid-19-facing areas (21.2% vs. 8.2% elsewhere) (aOR 2.49 [2.00-3.12]). Controlling for Covid-19-facing status, risks were heterogenous across the hospital, with higher rates in acute medicine (1.50 [1.05-2.15]) and sporadic outbreaks in areas with few or no Covid-19 patients. Covid-19 intensive care unit (ICU) staff were relatively protected (0.46 [0.29-0.72]). Positive results were more likely in Black (1.61 [1.20-2.16]) and Asian (1.58 [1.34-1.86]) staff, independent of role or working location, and in porters and cleaners (1.93 [1.25-2.97]). Contact tracing around asymptomatic staff did not lead to enhanced case identification. 24% of staff/patients remained PCR-positive at ≥6 weeks post-diagnosis.ConclusionsIncreased Covid-19 risk was seen in acute medicine, among Black and Asian staff, and porters and cleaners. A bundle of PPE-related interventions protected staff in ICU.

Published
2020

5. Tunable line spectral estimators based on state-covariance subspace analysis

Author

Amini, Ali Nasiri and Georgiou, Tryphon T.

Subjects
Digital filters -- Design and construction, Robust statistics -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Subspace methods for spectral analysis are adapted to the case where state covariance of a linear filter replaces the traditional matrix, and the potential advantages in working with state-covariance data instead of the traditional autocorrelation sequence are quantified. Tradeoffs between resolution and robustness in spectral estimates and the way these are affected by the filter dynamics are identified, the approach leading to a novel tunable high-resolution frequency estimator.

Published
2006

6. Noninvasive estimation of tissue temperature via high-resolution spectral analysis techniques

Author

Amini, Ali Nasiri, Ebbini, Emad S., and Georgiou, Tryphon T.

Subjects
Entropy (Information theory), Diagnosis, Ultrasonic, Biological sciences, Business, Computers, Health care industry
Abstract

We address the noninvasive temperature estimation from pulse-echo radio frequency signals from standard diagnostic ultrasound imaging equipment. In particular, we investigate the use of a high-resolution spectral estimation method for tracking frequency shifts at two or more harmonic frequencies associated with temperature change. The new approach, employing generalized second-order statistics, is shown to produce superior frequency shift estimates when compared to conventional high-resolution spectral estimation methods Seip and Ebbini (1995). Furthermore, temperature estimates from the new algorithm are compared with results from the more commonly used echo shift method described in Simon et al. (1998). Index Terms--Diagnostic ultrasound, maximum entropy, spectral analysis, state-covariance, super-resolution.

Published
2005

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