ORCID Profile
0009-0004-0541-1527
Current Organisation
Peter MacCallum Cancer Centre
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Publisher: Wiley
Date: 19-09-2022
DOI: 10.1111/HIV.13389
Abstract: The great success of HIV treatments means that, increasingly, people living with HIV (PLHIV) are growing old enough to develop age-associated comorbid conditions. We investigated the evolution of comorbid conditions and demographics among PLHIV in England. In a cross-sectional study linking Clinical Practice Research Datalink (CPRD) primary care, hospitalization, death registry and Index of Multiple Deprivation data, we measured the prevalence of 304 in idual health conditions, categorized into 47 condition groups (36 non-communicable, 11 communicable). Using logistic regression, we calculated odds ratios (ORs) for the likelihood of each condition and condition group in 2015 versus 2008, adjusting for age, sex and deprivation. In 2015, there were 964 CPRD-registered PLHIV compared with 1987 in 2008 62% were male and 38% female in both cohorts. The 2015 cohort was older, with 51.1% aged 45-64 years and 7.2% aged 65-84 years compared with 31.8% and 3.2%, respectively, in 2008. Deprivation was higher in 2015, at 23.9% (quintile 4) and 28.7% (quintile 5) compared with 5.8% and 6.6%, respectively, in 2008. Of 36 non-communicable condition groups, 14 (39%) occurred in ≥ 10% of PLHIV in 2015, of which seven were more likely in 2015 than in 2008: renal-chronic-kidney-disease [odds ratio (OR) = 1.96 (95% CI: 1.33-2.90) endocrine-obesity [OR = 1.76 (1.12-2.77)] rheumatology [OR = 1.64 (1.30-2.07)] dermatology [OR = 1.55(1.29-1.85)] genito-urinary-gynaecological [OR = 1.44(1.18-1.76)] eyes-ears/nose/throat [OR = 1.31(1.08-1.59)] and gastro-intestinal conditions [OR = 1.28 (1.04-1.58)]. Two condition groups, respiratory-chronic-obstructive-pulmonary-disease [OR = 0.36 (0.19-0.69)] and endocrine-diabetes [OR = 0.49 (0.34-0.70)], were less likely in 2015. Ten out of 11 communicable infectious condition groups were less likely in 2015. Although infections in PLHIV have fallen, chronic non-communicable comorbidity is increasingly prevalent. Alongside the marked increases in deprivation and ageing, this study suggests that socio-economic measures in addition to healthcare provision are needed to achieve holistic health for PLHIV.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 02-2017
DOI: 10.1097/CMR.0000000000000302
Abstract: The majority of melanomas are thin lesions with an excellent prognosis however, significant tumor heterogeneity exists, and a small percentage of patients with early-stage disease may progress to metastatic recurrence. This study aimed to assess whether prognostic factors previously shown to be significant in predicting stage I and stage II melanoma recurrence were consistent in a large prospectively collected patient cohort, and to identify novel prognostic factors associated with early recurrence to inform follow-up protocols. There were 1029 patients with stage I and stage II melanoma included in the analysis, of whom 123 developed a recurrence during follow-up (median 2.13 years). Multivariable analysis identified ulceration, presence of mitoses, Clark level, presence of lymphovascular invasion, and a history of autoimmune disease as factors independently associated with recurrence. These data identified patients with stage I–II melanoma with very low-risk for recurrence: no ulceration, zero mitoses, a low Clark level, no lymphovascular invasion, and possibly no history of autoimmune disease. These patients do not require intensive follow-up: 12 monthly reviews and full skin checks may be appropriate. Ongoing research into prognostic factors for recurrence in early-stage melanoma is important.
Publisher: Wiley
Date: 17-01-2016
DOI: 10.1111/PCMR.12450
Abstract: BRAF mutations at codons L597 and K601 occur uncommonly in melanoma. Clinical and pathological associations of these mutations were investigated in a cohort of 1119 patients with known BRAF mutation status. A BRAF mutation was identified in 435 patients Mutations at L597 and the K601E mutation were seen in 3.4 and 3.2% of these, respectively. K601E melanomas tended to occur in male patients, a median age of 58 yr, were generally found on the trunk (64%) and uncommonly associated with chronically sun-damaged (CSD) skin. BRAF L597 melanomas occurred in older patients (median 66 yr), but were associated with CSD skin (extremities or head and neck location - 73.3%, P = 0.001). Twenty-three percent of patients with V600E- and 43% of patients with K601E-mutant melanomas presented with nodal disease at diagnosis compared to just 14% of patients with BRAF wild-type tumors (P = 0.001 and 0.006, respectively). Overall, these mutations represent a significant minority of BRAF mutations, but have distinct clinicopathological phenotypes and clinical behaviors.
Publisher: Informa UK Limited
Date: 11-02-2022
Publisher: JMIR Publications Inc.
Date: 17-06-2020
Abstract: ARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not. The COVID-19 vulnerability (C-19) index, a model that predicts which patients will be admitted to hospital for treatment of pneumonia or pneumonia proxies, has been developed and proposed as a valuable tool for decision-making during the pandemic. However, the model is at high risk of bias according to the “prediction model risk of bias assessment” criteria, and it has not been externally validated. he aim of this study was to externally validate the C-19 index across a range of health care settings to determine how well it broadly predicts hospitalization due to pneumonia in COVID-19 cases. e followed the Observational Health Data Sciences and Informatics (OHDSI) framework for external validation to assess the reliability of the C-19 index. We evaluated the model on two different target populations, 41,381 patients who presented with SARS-CoV-2 at an outpatient or emergency department visit and 9,429,285 patients who presented with influenza or related symptoms during an outpatient or emergency department visit, to predict their risk of hospitalization with pneumonia during the following 0-30 days. In total, we validated the model across a network of 14 databases spanning the United States, Europe, Australia, and Asia. he internal validation performance of the C-19 index had a C statistic of 0.73, and the calibration was not reported by the authors. When we externally validated it by transporting it to SARS-CoV-2 data, the model obtained C statistics of 0.36, 0.53 (0.473-0.584) and 0.56 (0.488-0.636) on Spanish, US, and South Korean data sets, respectively. The calibration was poor, with the model underestimating risk. When validated on 12 data sets containing influenza patients across the OHDSI network, the C statistics ranged between 0.40 and 0.68. ur results show that the discriminative performance of the C-19 index model is low for influenza cohorts and even worse among patients with COVID-19 in the United States, Spain, and South Korea. These results suggest that C-19 should not be used to aid decision-making during the COVID-19 pandemic. Our findings highlight the importance of performing external validation across a range of settings, especially when a prediction model is being extrapolated to a different population. In the field of prediction, extensive validation is required to create appropriate trust in a model.
Publisher: Wiley
Date: 29-04-2022
DOI: 10.1111/AJD.13848
Abstract: Clinical quality registries aim to identify significant variations in care and provide anonymised feedback to institutions to improve patient outcomes. Thirty‐six Australian organisations with an interest in melanoma, raised funds through three consecutive Melanoma Marches, organised by Melanoma Institute Australia, to create a national Melanoma Clinical Outcomes Registry (MelCOR). This study aimed to formally develop valid clinical quality indicators for the diagnosis and early management of cutaneous melanoma as an important step in creating the registry. Potential clinical quality indicators were identified by examining the literature, including Australian and international melanoma guidelines, and by consulting with key melanoma and registry opinion leaders. A modified two‐round Delphi survey method was used, with participants invited from relevant health professions routinely managing melanoma as well as relevant consumer organisations. Nineteen participants completed at least one round of the Delphi process. 12 of 13 proposed clinical quality indictors met the validity criteria. The clinical quality indicators included acceptable biopsy method, appropriate excision margins, standardised pathology reporting, indications for sentinel lymph node biopsy, and involvement of multidisciplinary care and referrals. This study provides a multi‐stakeholder consensus for important clinical quality indicators that define optimal practice that will now be used in the Australian Melanoma Clinical Outcomes Registry (MelCOR).
Publisher: JMIR Publications Inc.
Date: 05-04-2021
DOI: 10.2196/21547
Abstract: SARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not. The COVID-19 vulnerability (C-19) index, a model that predicts which patients will be admitted to hospital for treatment of pneumonia or pneumonia proxies, has been developed and proposed as a valuable tool for decision-making during the pandemic. However, the model is at high risk of bias according to the “prediction model risk of bias assessment” criteria, and it has not been externally validated. The aim of this study was to externally validate the C-19 index across a range of health care settings to determine how well it broadly predicts hospitalization due to pneumonia in COVID-19 cases. We followed the Observational Health Data Sciences and Informatics (OHDSI) framework for external validation to assess the reliability of the C-19 index. We evaluated the model on two different target populations, 41,381 patients who presented with SARS-CoV-2 at an outpatient or emergency department visit and 9,429,285 patients who presented with influenza or related symptoms during an outpatient or emergency department visit, to predict their risk of hospitalization with pneumonia during the following 0-30 days. In total, we validated the model across a network of 14 databases spanning the United States, Europe, Australia, and Asia. The internal validation performance of the C-19 index had a C statistic of 0.73, and the calibration was not reported by the authors. When we externally validated it by transporting it to SARS-CoV-2 data, the model obtained C statistics of 0.36, 0.53 (0.473-0.584) and 0.56 (0.488-0.636) on Spanish, US, and South Korean data sets, respectively. The calibration was poor, with the model underestimating risk. When validated on 12 data sets containing influenza patients across the OHDSI network, the C statistics ranged between 0.40 and 0.68. Our results show that the discriminative performance of the C-19 index model is low for influenza cohorts and even worse among patients with COVID-19 in the United States, Spain, and South Korea. These results suggest that C-19 should not be used to aid decision-making during the COVID-19 pandemic. Our findings highlight the importance of performing external validation across a range of settings, especially when a prediction model is being extrapolated to a different population. In the field of prediction, extensive validation is required to create appropriate trust in a model.
Publisher: Elsevier BV
Date: 05-2022
Location: Australia
No related grants have been discovered for Sonia Mailer.