Karen Sanday
Royal Brisbane and Women's Hospital
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Publication
Featured researches published by Karen Sanday.
Gynecologic Oncology | 2009
Srinivas Kondalsamy-Chennakesavan; Chantal Bouman; Suzanne De Jong; Karen Sanday; James L. Nicklin; Russell Land; Andreas Obermair
BACKGROUND Advanced gynecological surgery undertaken in a specialized gynecologic oncology unit may be associated with significant perioperative morbidity. Validated risk prediction models are available for general surgical specialties but currently not for gynecological cancer surgery. OBJECTIVE The objective of this study was to evaluate risk factors for adverse events (AEs) of patients treated for suspected or proven gynecological cancer and to develop a clinical risk score (RS) to predict such AEs. METHODS AEs were prospectively recorded and matched with demographical, clinical and histopathological data on 369 patients who had an abdominal or laparoscopic procedure for proven or suspected gynecological cancer at a tertiary gynecological cancer center. Stepwise multiple logistic regression was used to determine the best predictors of AEs. For the risk score (RS), the coefficients from the model were scaled using a factor of 2 and rounded to the nearest integer to derive the risk points. Sum of all the risk points form the RS. RESULTS Ninety-five patients (25.8%) had at least one AE. Twenty-nine (7.9%) and 77 (20.9%) patients experienced intra- and postoperative AEs respectively with 11 patients (3.0%) experiencing both. The independent predictors for any AE were complexity of the surgical procedure, elevated SGOT (serum glutamic oxaloacetic transaminase, > or /=35 U/L), higher ASA scores and overweight. The risk score can vary from 0 to 14. The risk for developing any AE is described by the formula 100 / (1 + e((3.697 - (RS /2)))). CONCLUSION RS allows for quantification of the risk for AEs. Risk factors are generally not modifiable with the possible exception of obesity.
International Journal of Gynecological Cancer | 2010
Srinivas Kondalsamy-Chennakesavan; Stijn van Vugt; Karen Sanday; James L. Nicklin; Russell Land; Lewis Perrin; Alex J. Crandon; Andreas Obermair
Introduction: Concurrent uterine lesions or an irregular endomyometrial junction can make accurate assessment of depth of myometrial invasion (DOI) and percentage of myometrial invasion (%MI) difficult, leading to patients being staged and or treated suboptimally. An alternative measurement, known as the tumor-free distance (TFD), which measures the distance between maximal myometrial invasion and the uterine serosa, has been proposed. Previous studies comparing the predictive abilities of DOI and TFD were underpowered and inconclusive. Our objective was to compare TFD, DOI, and %MI as predictors for lymph node involvement in surgically staged endometrial cancer patients. Methods: Patients with endometrioid adenocarcinoma of the endometrium treated between January 1997 and December 2007 were included. Tumor-free distance, DOI, and %MI were evaluated along with other pathological variables to determine their predictive ability for nodal involvement. Depth of myometrial invasion was measured between the endomyometrial junction and the maximal myometrial invasion. Tumor-free distance was calculated by subtracting the DOI from myometrial thickness (MT). Percentage MI was derived by dividing DOI by MT and expressed as a percentage of MT invaded. These 3 variables were transformed to z scores, and their ability to predict nodal involvement was compared. Results: A total of 338 patients were eligible for analysis. Mean (SD) MT was 18.7 (5.9) mm. Median DOI was 6 mm, and median TFD was 10.3 mm. On univariate analysis, all 3 variables showed significant associations with nodal involvement. On multivariate analysis, after adjusting for lymphovascular space invasion, cervical involvement, serosal/adnexal involvement, grade, %MI, and TFD, DOI retained its statistical significance along with lymphovascular space invasion and cervical involvement. Conclusions: Depth of myometrial invasion predicts nodal involvement independently when compared with TFD.
Gynecologic Oncology | 2011
Srinivas Kondalsamy-Chennakesavan; Louisa Gordon; Karen Sanday; Chantal Bouman; Suzanne De Jong; James L. Nicklin; Russell Land; Andreas Obermair
BACKGROUND AND OBJECTIVE Treatment for gynecological malignancies is complex and may cause unintended or accidental adverse events (AE). We evaluated the costs of hospitalization associated with those AEs among patients who had an abdominal or laparoscopic procedure for proven or suspected gynecological cancer at a tertiary gynecological cancer center in Australia. METHODS Data on AEs were prospectively collected and matched with cost data (AU
Australian & New Zealand Journal of Obstetrics & Gynaecology | 2017
James L. Nicklin; Shaun McGrath; Lee Tripcony; Andrea Garrett; Russell Land; Amy Tang; Lewis Perrin; Naven Chetty; Nisha Jagasia; Alex J. Crandon; Marcelo Nascimento; Graeme Walker; Karen Sanday; Andreas Obermair
2008) from the hospitals clinical costing unit and linked to demographical, clinical and histopathological data. Total costs were adjusted for various clinical factors and estimated using log-transformed ordinary least squared regression. Back-transformation was achieved using smearing factors. From epidemiological data, we also estimated the costs of AEs Australia-wide and undertook scenario and probabilistic sensitivity analyses to investigate the potential cost impact of reducing AEs. RESULTS A total of 369 patients had surgical procedures of which 95 patients (26%) had at least one AE. Patients with AEs incurred an extra AU
Journal of Lower Genital Tract Disease | 2013
Ian Jones; Alex J. Crandon; Karen Sanday
12,780 on average, adjusted for age, co-morbidities, ovarian cancer, major or minor complications, surgical complexity, presence of malignancy and abdominal surgery. Mean adjusted costs (95% CI) for patients with intra-operative, minor post-operative and major post-operative AEs were AU
Australian & New Zealand Journal of Obstetrics & Gynaecology | 2018
Jessica A. Robertson; Karen Sanday; James L. Nicklin
40,746 (11,582-71,859) AU
Australian & New Zealand Journal of Obstetrics & Gynaecology | 2017
Lisanne Verhoef; David Baartz; Shona Morrison; Karen Sanday; Andrea Garrett
18,459 (17,270-19,713) and AU
Gynecologic Oncology | 2011
Ian Jones; Alex Crandon; Karen Sanday
67,656 (5324-131,761), respectively. Up to an estimated AU
Open Journal of Obstetrics and Gynecology | 2012
Ian Jones; Alex J. Crandon; Karen Sanday
20.6 million/year could be saved if the AEs were reduced by 40%. CONCLUSION Adverse events are associated with significantly increased hospitalization costs and appropriate evidence-based interventions are justified to minimize AEs.
Obstetrical & Gynecological Survey | 2010
Srinivas Kondalsamy-Chennakesavan; Chantal Bouman; Suzanne De Jong; Karen Sanday; James L. Nicklin; Russell Land; Andreas Obermair
The aim of this study was to determine the proportion of patients with advanced ovarian and related cancers (EOC+RC), treated with neoadjuvant chemotherapy and interval debulking surgery (NACT – IDS), and to determine if there was any relationship with optimal cytoreduction rates and overall survival (OS) in a state‐wide gynaecologic oncology service over time.