https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52775 Wed 28 Feb 2024 16:20:21 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52384 Wed 28 Feb 2024 15:35:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39525 Wed 27 Jul 2022 14:04:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45197 Wed 26 Oct 2022 19:37:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45074 7) stratified by stroke type (ischemic stroke and intracerebral hemorrhage). Study‐specific unadjusted and adjusted RRs, controlling for confounding variables, were pooled using random‐effects meta‐analysis. National Institutes of Health Stroke Scale data were recorded in 5326 (96%) of 5570 cases with ischemic stroke and 773 (90%) of 855 participants with intracerebral hemorrhage. The pooled unadjusted female:male RR for severe ischemic stroke was 1.35 (95% CI 1.24–1.46). The sex difference in severity was attenuated after adjustment for age, pre‐stroke dependency, and atrial fibrillation but remained statistically significant (pooled RRadjusted 1.20, 95% CI 1.10–1.30). There was no sex difference in severity for intracerebral hemorrhage (RRcrude 1.08, 95% CI 0.97–1.21; RRadjusted 1.08, 95% CI 0.96–1.20). Conclusions: Although women presented with more severe ischemic stroke than men, much although not all of the difference was explained by pre‐stroke factors. Sex differences could potentially be ameliorated by strategies to improve pre‐stroke health in the elderly, the majority of whom are women. Further research on the potential biological origin of sex differences in stroke severity may also be warranted.]]> Wed 26 Oct 2022 13:58:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45118 Wed 26 Oct 2022 13:19:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45043 n = 717) were administered the Structured Clinical Interview for DSM-IV (SCID-I/NP and SCID-II) and the World Health Organisation Quality of Life scale (WHOQOL-BREF). Weight and height were measured and lifestyle and demographic factors were self-reported. Logistic regression models (odds ratios with 95% confidence intervals) were undertaken to investigate associations among groups (mental state disorders, co-occurring mental state disorders with PD, and controls) and the WHOQOL-BREF domains (physical, psychological, social, and environmental health) while testing for potential confounding. Results: Results indicated that mental state disorders were associated with increased risk of low quality of life in physical, psychological, social, but not environmental domains, compared to controls. This risk was increased among women with co-occurring PD across all domains compared to both controls and those with mental state disorders. Conclusion: These findings add evidence suggesting poor quality of life is experienced by those with mental state disorders, and that this is worsened by the experience of co-occurring PD.]]> Wed 26 Oct 2022 12:00:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32642 Wed 24 Nov 2021 15:52:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42460 FTO) single-nucleotide polymorphism (SNP) rs9939609 is a major SNP associated with obesity and has been used as an instrumental variable for obesity in a Mendelian randomization (MR) approach. An interaction between the FTO SNP and macronutrient intake for obesity was suggested previously. Objective: The aim of this study was to assess the associations between obesity and cataract, using FTO SNP rs9939609 as an instrumental variable in an MR approach, and explore interactions of this SNP with macronutrient intake in relation to risk of cataract in a population-based cohort. Methods: The Blue Mountains Eye Study (BMES) is a longitudinal population-based study of common eye disease. Of 3654 baseline participants of the BMES (1992-1994), 2334 (75.8% of survivors) and 1952 (76.7% of survivors) were followed 5 and 10 y later. During the 5-y follow-up, 1174 new participants were examined. Cumulative cataract was defined as the presence of cortical, nuclear, or posterior subcapsular (PSC) cataract at any visit, following the Wisconsin Cataract Grading System. Imputed dosage of the FTO SNP rs9939609 was used. Quintiles of macronutrient intake (carbohydrates, protein, fats) were derived from an FFQ. ORs and 95% CIs were estimated using multivariable-adjusted logistic regression models. Results: After multivariable adjustment, there were no associations between BMI and any cataract types in MR models using rs9939609 as an instrumental variable. However, an interaction between rs9939609 and protein intake for PSC cataract risk was suggested (P = 0.03). In analyses stratified by quintiles of protein intake, each minor allele of rs9939609 was associated with increased odds of PSC (OR: 2.14; 95% CI: 1.27, 3.60) in the lowest quintile subgroup only. Conclusions: Obesity was not causally associated with age-related cataract. However, among persons in the lowest quintile of protein intake, obesity may be associated with PSC cataract.]]> Wed 24 Aug 2022 11:18:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30988 2 and the area under the receiver-operating characteristic curve (AUC). Models with and without the genetic risk score (GRS) were compared using the log likelihood ratio Chi-squared test and AUCs. Multiplicative interaction between genetic and environmental risk factors was assessed via logistic regression within and across ancestral groups. Interactions were assessed for the GRS and its 62 constituent variants. Results: The models including environmental risk factors only had pseudo R² values of 16.5–28.3% and AUC of 0.75–0.83. Incorporating a genetic score aggregating 62 T2D-associated risk variants significantly increased the model fit (likelihood ratio P-value of 2.50 × 10⁻⁴–4.83 × 10⁻¹²) and increased the pseudo R² by about 1–2% and AUC by 1–3%. None of the gene–environment interactions reached significance after multiple testing adjustment, either for the GRS or individual variants. For individual variants, 33 out of 310 tested associations showed nominal statistical significance with 0.001 < P < 0.05. Conclusion: This study suggests that known genetic risk variants contribute a significant but small amount to overall T2D risk variation in Malaysian population groups. If gene–environment interactions involving common genetic variants exist, they are likely of small effect, requiring substantially larger samples for detection.]]> Wed 23 Feb 2022 16:06:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32440 Wed 23 Feb 2022 16:04:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30810 Wed 23 Feb 2022 16:04:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43504 Wed 21 Sep 2022 10:29:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34074 Wed 19 Jan 2022 15:19:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52293 Wed 17 Apr 2024 14:31:51 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38684 Wed 17 Apr 2024 10:09:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35705 Acinetobacter baumannii causes severe, fulminant, community-acquired pneumonia (CAP) in tropical and subtropical regions. We compared the population structure, virulence and antimicrobial resistance determinants of northern Australian community-onset A. baumannii strains with local and global strains. We performed whole-genome sequencing on 55 clinical and five throat colonization A. baumannii isolates collected in northern Australia between 1994 and 2016. Clinical isolates included CAP (n=41), healthcare-associated pneumonia (n=7) and nosocomial bloodstream (n=7) isolates. We also included 93 publicly available international A. baumannii genome sequences in the analyses. Patients with A. baumannii CAP were almost all critically unwell; 82 % required intensive care unit admission and 18 % died during their inpatient stay. Whole-genome phylogenetic analysis demonstrated that community-onset strains were not phylogenetically distinct from nosocomial strains. Some non-multidrug-resistant local strains were closely related to multidrug-resistant strains from geographically distant locations. Pasteur sequence type (ST)10 was the dominant ST and accounted for 31/60 (52 %) northern Australian strains; the remainder belonged to a diverse range of STs. The most recent common ancestor for ST10 was estimated to have occurred in 1738 (95 % highest posterior density, 1626–1826), with evidence of multiple introduction events between Australia and Southeast Asia between then and the present day. Virulence genes associated with biofilm formation and the type 6 secretion system (T6SS) were absent in many strains, and were not associated with in-hospital mortality. All strains were susceptible to gentamicin and meropenem; none carried an AbaR resistance island. Our results suggest that international dissemination of A. baumannii is occurring in the community on a contemporary timescale. Genes associated with biofilm formation and the T6SS may not be required for survival in community niches. The relative contributions of host and bacterial factors to the clinical severity of community-onset A. baumannii infection require further investigation.]]> Wed 15 Dec 2021 16:09:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47131 Wed 14 Dec 2022 15:13:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49415 Wed 13 Mar 2024 08:57:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52446 Wed 11 Oct 2023 14:54:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52433 Wed 11 Oct 2023 14:47:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41668 n = 52; mean age 16.0 ± 1.0 years) from one club participated in this study. Functional Movement Screen scores, height, and mass were collected at the beginning of the preseason. Training, match exposure, and injury incidence data (non-contact match and training injuries with three levels of severity) were recorded for each individual athlete throughout the season. Linear and logistic regression analyses were conducted to investigate the association between Functional Movement Screen score (continuous score, ≤ 14 or > 14, and three subscores) and injury risk, whilst controlling for exposure time. The mean Functional Movement Screen score for the sample was 13.4 (95% CI: 11.0–14.0). A total of 72 non-contact injuries were recorded (incidence rate: 18.7 per 1000 exposure hours; 95% CI: 11.6–24.8). There were no statistically significant associations between non-contact injury and Functional Movement Screen score for any of the analyses conducted. Our results suggest that the Functional Movement Screen does not reflect non-contact injury risk in elite adolescent rugby league players. Further research should investigate whether a more sport-specific movement screen in the preseason can more effectively predict injury risk in this population.]]> Wed 10 Aug 2022 13:16:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26870 4 standard drinks on any occasion); parental supply of alcohol; supply from other sources; child, parent, family and peer covariates. After adjustment, adolescents supplied alcohol by parents had higher odds of drinking whole beverages [odds ratio (OR) 1.80, 95% confidence interval (CI) 1.33–2.45] than those not supplied by parents. However, parental supply was not associated with bingeing, and those supplied alcohol by parents typically consumed fewer drinks per occasion (incidence rate ratio 0.86, 95% CI 0.77–0.96) than adolescents supplied only from other sources. Adolescents obtaining alcohol from non-parental sources had increased odds of drinking whole beverages (OR 2.53, 95% CI 1.86–3.45) and bingeing (OR 3.51, 95% CI 2.53–4.87). Parental supply of alcohol to adolescents was associated with increased risk of drinking, but not bingeing. These parentally-supplied children also consumed fewer drinks on a typical drinking occasion. Adolescents supplied alcohol from non-parental sources had greater odds of drinking and bingeing. Further follow-up is necessary to determine whether these patterns continue, and to examine alcohol-related harm trajectories. Parents should be advised that supply of alcohol may increase children's drinking.]]> Wed 09 Feb 2022 15:53:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50164 Wed 05 Jul 2023 16:03:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39076 Wed 04 May 2022 16:06:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41421 Wed 03 Aug 2022 11:59:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47674 Tue 24 Jan 2023 16:02:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16851 Tue 24 Aug 2021 14:34:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44590 Tue 18 Oct 2022 09:04:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52573 Tue 17 Oct 2023 15:48:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41961 Tue 16 Aug 2022 14:45:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41959 Tue 16 Aug 2022 14:45:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41923 Tue 16 Aug 2022 09:09:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51614 Tue 12 Sep 2023 13:49:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44245 Tue 11 Oct 2022 12:00:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50118 Tue 11 Jul 2023 15:40:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46524 Tue 05 Sep 2023 14:38:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45393 Thu 27 Oct 2022 15:23:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42577 Thu 25 Aug 2022 14:35:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37883 Thu 24 Aug 2023 16:08:54 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43039 4 standard drinks on a single occasion), and (ii) the total number of alcoholic drinks consumed in the past year, adjusted for a range of potential child, parent, family, and peer covariates. Results: Fifty percent of adolescents reported alcohol use and 36% reported bingeing at wave 5 (mean age 16.9 years), and the mean age of initiation to alcohol use for drinkers was 15.1 years. Age of initiation was significantly associated with binge drinking and total quantity of alcohol consumed in unadjusted and adjusted models. Age of first drunkenness was associated with total quantity of alcohol consumed in unadjusted models but not adjusted models and was not associated with subsequent bingeing. Conclusions: Initiating alcohol use earlier in adolescence is associated with an increased risk of binge drinking and higher quantity of consumption in late secondary school, supporting an argument for delaying alcohol initiation for as long as possible to reduce the risk for problematic use in later adolescence and the alcohol-related harms that may accompany this use.]]> Thu 24 Aug 2023 09:26:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29470 Thu 21 Oct 2021 12:51:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39755 Thu 21 Jul 2022 09:10:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48972 Thu 20 Apr 2023 11:54:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33627 Thu 17 Feb 2022 09:31:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49927 Thu 15 Jun 2023 11:55:49 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39123 Thu 14 Mar 2024 09:06:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24452 collective violence and legal intervention had no representation in CDSR. Correlation testing revealed a strong positive correlation that was statistically significant. Representation of road injury; interpersonal violence; fire, heat, and hot substances; mechanical forces; poisonings, adverse effect of medical treatment, and animal contact was well aligned with respect to DALY. Representation of falls was greater compared to DALY, while self-harm, exposure to forces of nature, and other transport injury representation was lower compared to DALY. Conclusions and Relevance: CDSR representation of external causes of injury strongly correlates with disease burden. The number of systematic reviews and protocols was well aligned for seven out of 12 causes of injury. These results provide high-quality and transparent data that may guide future prioritisation decisions.]]> Thu 13 Jan 2022 10:29:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28004 Thu 09 Dec 2021 11:02:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46914 Thu 08 Dec 2022 08:47:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51469 Thu 07 Sep 2023 10:44:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52201 Thu 05 Oct 2023 10:08:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42299 Sat 29 Jul 2023 14:05:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50595 Mon 31 Jul 2023 09:55:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38396 Mon 29 Jan 2024 17:47:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53407 Mon 27 Nov 2023 09:27:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53409 Mon 27 Nov 2023 09:27:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51984 Mon 25 Sep 2023 14:57:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44728 Mon 24 Oct 2022 08:21:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49546 Mon 22 May 2023 08:45:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42354 Mon 22 Aug 2022 14:01:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48483 LCT-13910 C/T, rs4988235) associated with dairy intake as an instrumental variable (IV). The causal effects of dairy intake on body composition and cardiometabolic traits (lipids, glycemic traits, and inflammatory factors) were quantified by IV estimators among 182041 participants from 18 studies. Results: Each 1 serving/day higher dairy intake was associated with higher lean mass [β (SE) = 0.117 kg (0.035); P = 0.001], higher hemoglobin A1c [0.009% (0.002); P < 0.001], lower LDL [-0.014 mmol/L (0.006); P = 0.013], total cholesterol (TC) [-0.012 mmol/L (0.005); P = 0.023], and non-HDL [-0.012 mmol/L (0.005); P = 0.028]. The LCT-13910 C/T CT + TT genotype was associated with 0.214 more dairy servings/day (SE = 0.047; P < 0.001), 0.284 cm higher waist circumference (SE = 0.118; P = 0.017), 0.112 kg higher lean mass (SE = 0.027; P = 3.8 x 10-5), 0.032 mmol/L lower LDL (SE = 0.009; P = 0.001), and 0.032 mmol/L lower TC (SE = 0.010; P = 0.001). Genetically higher dairy intake was associated with increased lean mass [0.523 kg per serving/day (0.170); P = 0.002] after correction for multiple testing (0.05/18). However, we find that genetically higher dairy intake was not associated with lipids and glycemic traits. Conclusions: The present study provides evidence to support a potential causal effect of higher dairy intake on increased lean mass among adults. Our findings suggest that the observational associations of dairy intake with lipids and glycemic traits may be the result of confounding.]]> Mon 20 Mar 2023 10:41:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48303 Mon 15 May 2023 10:42:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53785 Mon 15 Jan 2024 10:30:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46216 Mon 14 Nov 2022 12:05:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50933 Mon 14 Aug 2023 12:30:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43046 6.0 mM (strata-specific OR 1.72, 95% CI 1.09–2.72). No similar association was found in participants with normal FBG (OR 0.85, 95% CI 0.69–1.04). This interaction was not evident in the SEED study. Conclusions: The identified interaction between rs9640883 and FBG in relation to cortical cataract was not replicated but may warrant further investigation.]]> Mon 12 Sep 2022 12:59:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54185 Mon 12 Feb 2024 13:47:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54178 Mon 12 Feb 2024 13:11:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54179 Mon 12 Feb 2024 13:11:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46979 Mon 12 Dec 2022 17:08:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51588 Mon 11 Sep 2023 15:25:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54776 Mon 11 Mar 2024 15:07:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44181 Mon 10 Oct 2022 10:48:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52340 Mon 09 Oct 2023 14:57:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27244 Mon 09 Oct 2023 14:51:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39579 Mon 08 Aug 2022 11:35:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53002 Mon 06 Nov 2023 08:44:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46866 Mon 05 Dec 2022 08:46:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39056 Cryptococcus neoformans and Cryptococcus gattii are yeasts responsible for invasive infection, primarily pulmonary and neurological. Their clinical epidemiology has been previously described in an Australian national study, but this included no data from the Hunter region, where we anecdotally noted a high incidence of infection. We aimed to describe the epidemiology, management and outcomes of cryptococcal disease in the Hunter region and to compare this with previous Australian data. Methods: We searched our laboratory database for positive cryptococcal antigen and culture results from January 2003-December 2016. We extracted demographic factors, risk factors, clinical presentation, treatment and outcomes from medical records. We used the 2010 census-derived estimated resident population to calculate population-based incidences. Results: Over a 13-year period, 107 patients had either a positive culture or a positive cryptococcal antigen with a compatible clinical syndrome. Of these, 46 (42.2%) were C. neoformans, 28 (25.7%) C. gattii, and 33 (30.3%) antigen only. The crude incidence (per million with 95% CI) for all disease was 9.5, and for culture proven disease was 2.5 for C. gattii and 4.1 for C. neoformans. Geospatial mapping by species revealed no evident cluster. Of the 63 patients where detailed information was available, around half were immunocompromised (3 [15%] for C. gattii and 25 [81%] for C. neoformans, p < 0.001). Complications were common, including visual loss (11 cases, 17.7%) and hearing loss (5 cases, 8%). Adverse outcomes at one year (death or neurological sequelae) occurred in 42%, and was significantly more likely (OR = 5.2, 95% CI 1.4-18.8) in those with raised intracranial pressure at baseline. Adverse outcomes were no more common in those treated with lower doses of liposomal amphotericin (≤150 mg/day, 5/10) than those treated with the recommended dose of 3-5 mg/kg (≥150 mg; 13/27). Conclusion: Although a rare disease, cryptococcosis is more common in the Hunter region than in other parts of Australia, and long-term sequelae are serious and common.]]> Mon 02 May 2022 15:13:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40435 Mon 01 Aug 2022 08:46:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39253 Fri 27 May 2022 15:49:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42170 Fri 26 Aug 2022 07:58:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39813 Fri 24 Jun 2022 09:35:06 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40718 Fri 23 Jun 2023 09:07:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51925 Fri 22 Sep 2023 11:00:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52660 Fri 20 Oct 2023 09:10:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49503 Fri 19 May 2023 12:58:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49490 Fri 19 May 2023 09:49:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42294 Fri 19 Aug 2022 14:58:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53116 Fri 17 Nov 2023 12:02:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47236 Fri 16 Dec 2022 12:08:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51709 Fri 15 Sep 2023 14:09:51 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49420 Fri 12 May 2023 15:02:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54707 Fri 08 Mar 2024 12:20:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40364 Fri 08 Jul 2022 14:52:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41583 Fri 05 Aug 2022 14:51:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51371 Fri 01 Sep 2023 13:41:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33863 Fri 01 Apr 2022 09:28:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37135 Fri 01 Apr 2022 09:26:30 AEDT ]]>