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Rössler J, Shah K, Medellin S, Turan A, Ruetzler K, Singh M, Sessler DI, Maheshwari K. Development and validation of delirium prediction models for noncardiac surgery patients. J Clin Anesth 2024; 93:111319. [PMID: 37984177 DOI: 10.1016/j.jclinane.2023.111319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/20/2023] [Accepted: 11/05/2023] [Indexed: 11/22/2023]
Abstract
STUDY OBJECTIVE Postoperative delirium is associated with morbidity and mortality, and its incidence varies widely. Using known predisposing and precipitating factors, we sought to develop postoperative delirium prediction models for noncardiac surgical patients. DESIGN Retrospective prediction model study. SETTING Major quaternary medical center. PATIENTS Our January 2016 to June 2020 training dataset included 51,677 patients of whom 2795 patients had delirium. Our July 2020 to January 2022 validation dataset included 14,438 patients of whom 912 patients had delirium. INTERVENTIONS None. MEASUREMENTS We trained and validated two static prediction models and one dynamic delirium prediction model. For the static models, we used random survival forests and traditional Cox proportional hazard models to predict postoperative delirium from preoperative variables, or from a combination of preoperative and intraoperative variables. We also used landmark modeling to dynamically predict postoperative delirium using preoperative, intraoperative, and postoperative variables before onset of delirium. MAIN RESULTS In the validation analyses, the static random forest model had a c-statistic of 0.81 (95% CI: 0.79, 0.82) and a Brier score of 0.04 with preoperative variables only, and a c-statistic of 0.86 (95% CI: 0.84, 0.87) and a Brier score of 0.04 when preoperative and intraoperative variables were combined. The corresponding Cox models had similar discrimination metrics with slightly better calibration. The dynamic model - using all available data, i.e., preoperative, intraoperative and postoperative data - had an overall c-index of 0.84 (95% CI: 0.83, 0.85). CONCLUSIONS Using preoperative and intraoperative variables, simple static models performed as well as a dynamic delirium prediction model that also included postoperative variables. Baseline predisposing factors thus appear to contribute far more to delirium after noncardiac surgery than intraoperative or postoperative variables. Improved postoperative data capture may help improve delirium prediction and should be evaluated in future studies.
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Affiliation(s)
- Julian Rössler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA.
| | - Karan Shah
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of Quantitative Health Sciences, Cleveland Clinic, OH, USA
| | - Sara Medellin
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA
| | - Alparslan Turan
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
| | - Kurt Ruetzler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
| | - Mriganka Singh
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, USA; Center on Innovation-Long Term Services and Supports, Providence Veterans Administration Medical Center, Providence, RI, USA
| | - Daniel I Sessler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA
| | - Kamal Maheshwari
- Department of Outcomes Research, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
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Fislage M, Winzeck S, Woodrow R, Lammers‐Lietz F, Stamatakis EA, Correia MM, Preller J, Feinkohl I, Hendrikse J, Pischon T, Spies CD, Slooter AJC, Winterer G, Menon DK, Zacharias N. Structural disconnectivity in postoperative delirium: A perioperative two-center cohort study in older patients. Alzheimers Dement 2024; 20:2861-2872. [PMID: 38451782 PMCID: PMC11032567 DOI: 10.1002/alz.13749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/26/2023] [Accepted: 01/21/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Structural disconnectivity was found to precede dementia. Global white matter abnormalities might also be associated with postoperative delirium (POD). METHODS We recruited older patients (≥65 years) without dementia that were scheduled for major surgery. Diffusion kurtosis imaging metrics were obtained preoperatively, after 3 and 12 months postoperatively. We calculated fractional anisotropy (FA), mean diffusivity (MD), mean kurtosis (MK), and free water (FW). A structured and validated delirium assessment was performed twice daily. RESULTS Of 325 patients, 53 patients developed POD (16.3%). Preoperative global MD (standardized beta 0.27 [95% confidence interval [CI] 0.21-0.32] p < 0.001) was higher in patients with POD. Preoperative global MK (-0.07 [95% CI -0.11 to (-0.04)] p < 0.001) and FA (0.07 [95% CI -0.10 to (-0.04)] p < 0.001) were lower. When correcting for baseline diffusion, postoperative MD was lower after 3 months (0.05 [95% CI -0.08 to (-0.03)] p < 0.001; n = 183) and higher after 12 months (0.28 [95% CI 0.20-0.35] p < 0.001; n = 45) among patients with POD. DISCUSSION Preoperative structural disconnectivity was associated with POD. POD might lead to white matter depletion 3 and 12 months after surgery.
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Affiliation(s)
- Marinus Fislage
- Department of Anesthesiology and Intensive Care MedicineCharité – Universitätsmedizin Berlincorporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Department of NeurologyNational Taiwan University HospitalTaipei CityTaiwan
| | - Stefan Winzeck
- Department of ComputingImperial College LondonBioMedIA GroupLondonUK
- University Division of Anaesthesia, Department of MedicineUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
| | - Rebecca Woodrow
- University Division of Anaesthesia, Department of MedicineUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
- Department of Clinical NeurosciencesUniversity of Cambridge; Addenbrooke's HospitalCambridgeUK
| | - Florian Lammers‐Lietz
- Department of Anesthesiology and Intensive Care MedicineCharité – Universitätsmedizin Berlincorporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Emmanuel A. Stamatakis
- University Division of Anaesthesia, Department of MedicineUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
- Department of Clinical NeurosciencesUniversity of Cambridge; Addenbrooke's HospitalCambridgeUK
| | - Marta M. Correia
- MRC Cognition and Brain Sciences Unit, University of CambridgeCambridgeUK
| | - Jacobus Preller
- Addenbrooke's Cambridge University Hospitals NHS Foundation TrustCambridgeUK
| | - Insa Feinkohl
- Faculty of Health/School of MedicineWitten/Herdecke UniversityWittenGermany
- Max‐Delbrueck‐Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research GroupBerlinGermany
| | - Jeroen Hendrikse
- Department of RadiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Tobias Pischon
- Max‐Delbrueck‐Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research GroupBerlinGermany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Max‐Delbrueck‐Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology PlatformBerlinGermany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Facility BiobankBerlinGermany
| | - Claudia D. Spies
- Department of Anesthesiology and Intensive Care MedicineCharité – Universitätsmedizin Berlincorporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
| | - Arjen J. C. Slooter
- Departments of Psychiatry and Intensive Care Medicine, and UMC Utrecht Brain CenterUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
- Department of NeurologyUZ Brussel and Vrije Universiteit BrusselBrusselsBelgium
| | - Georg Winterer
- Department of Anesthesiology and Intensive Care MedicineCharité – Universitätsmedizin Berlincorporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Pharmaimage Biomarker Solutions GmbHBerlinGermany
| | - David K. Menon
- University Division of Anaesthesia, Department of MedicineUniversity of Cambridge, Addenbrooke's HospitalCambridgeUK
| | - Norman Zacharias
- Department of Anesthesiology and Intensive Care MedicineCharité – Universitätsmedizin Berlincorporate member of Freie Universität Berlin and Humboldt‐Universität zu BerlinBerlinGermany
- Pharmaimage Biomarker Solutions GmbHBerlinGermany
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Attali D, Calligaris C, Grabli D, Slooter AJC. How to manage catatonia, Parkinson and dementia in ICU. Curr Opin Crit Care 2024; 30:151-156. [PMID: 38441073 DOI: 10.1097/mcc.0000000000001142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
PURPOSE OF REVIEW The rising prevalence of neurodegenerative and mental disorders, combined with the challenges posed by their frailty, has presented intensivists with complex issues in the intensive care unit (ICU). This review article explores specific aspects of care for patients with catatonia, Parkinson's disease (PD), and dementia within the context of the ICU, shedding light on recent developments in these fields. RECENT FINDINGS Catatonia, a neuropsychiatric syndrome with potentially life-threatening forms, remains underdiagnosed, and its etiologies are diverse. PD patients in the ICU present unique challenges related to admission criteria, dopaminergic treatment, and respiratory care. Dementia increases the risk of delirium. Delirium is associated with long-term cognitive impairment and dementia. SUMMARY While evidence is lacking, further research is needed to guide treatment for ICU patients with these comorbidities.
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Affiliation(s)
- David Attali
- GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, Université Paris Cité, Paris, France
- Institute Physics for Medicine Paris, Inserm U1273, ESPCI Paris, PSL University, CNRS UMR 8063, Paris, France
| | - Charlotte Calligaris
- GHU-Paris Psychiatrie & Neurosciences, Neurointensive Care and Neuroanesthesia Department, Sainte-Anne Hospital, Université de Paris, Paris, France
| | - David Grabli
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Arjen J C Slooter
- Departments of Intensive Care Medicine and Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Tan S, Pan S, Wei L, Chen W, Pan B, Kong G, Chen J, Xie Y. Association of peripheral B cells and delirium: combined single-cell sequencing and Mendelian randomization analysis. Front Neurol 2024; 15:1343726. [PMID: 38379709 PMCID: PMC10876872 DOI: 10.3389/fneur.2024.1343726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 01/23/2024] [Indexed: 02/22/2024] Open
Abstract
Background Delirium seriously affects the prognosis of patients and greatly reduces the ability to work and live. Peripheral inflammatory events may contribute to the development of delirium, the mechanism of which is still unclear. There is a lack of effective diagnostic and treatments for delirium in clinical practice. The study aims to investigate alterations in peripheral immune cell subsets under inflammatory stress and to explore causal associations with delirium. Methods Single-cell transcriptional sequencing data of human peripheral blood mononuclear cells (PBMC) before and after lipopolysaccharide (LPS) intervention were processed by the Seurat package in R software. PBMC subsets and cellular markers were defined after downscaling and clustering by the Harmony algorithm to identify characteristic subsets in the context of inflammatory stress. Subsequently, a two-sample Mendelian randomization (MR) study was used to explore the causal associations of these inflammation-related PBMC subsets and their molecular phenotypes with delirium. Based on publicly available genetic data, the study incorporated 70 PBMC-associated immune traits, including 8 types of circulating immune cells, 33 B cell subsets and molecular phenotypes, 13 T cell subsets, and 16 B cell-associated cytokines. The results were also validated for robustness, heterogeneity, and horizontal pleiotropy. Results Under LPS-induced inflammatory stress, B cells, T cells, monocytes, and dendritic cells in human PBMC showed significant activation and quantitative changes. Of these, only lymphocyte and B cell counts were causally associated with delirium risk. This risk link is also seen in the TNF pathway. Further studies of B cells and their subsets revealed that this association may be related to unswitched memory B cells and CD27 expressed on memory B cells. Annotation of the screened SNPs revealed significant polymorphisms in CD27 and CD40 annotated by rs25680 and rs9883798, respectively. The functions of the key annotated genes may be related to the regulation of immune responses, cell differentiation, proliferation, and intercellular interactions. Conclusion The present study revealed the potential possibility that B cell, memory B cell subset, and TNF-related molecules may be involved in the development of delirium due to peripheral inflammation, which can provide clues for further investigation of delirium prevention and treatment strategies.
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Affiliation(s)
- Siyou Tan
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Sining Pan
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lai Wei
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Wenyan Chen
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Bingbing Pan
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Gaoyin Kong
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Jing Chen
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yubo Xie
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Tan S, Chen W, Kong G, Wei L, Xie Y. Peripheral inflammation and neurocognitive impairment: correlations, underlying mechanisms, and therapeutic implications. Front Aging Neurosci 2023; 15:1305790. [PMID: 38094503 PMCID: PMC10716308 DOI: 10.3389/fnagi.2023.1305790] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/10/2023] [Indexed: 08/22/2024] Open
Abstract
Cognitive impairments, such as learning and memory deficits, may occur in susceptible populations including the elderly and patients who are chronically ill or have experienced stressful events, including surgery, infection, and trauma. Accumulating lines of evidence suggested that peripheral inflammation featured by the recruitment of peripheral immune cells and the release of pro-inflammatory cytokines may be activated during aging and these conditions, participating in peripheral immune system-brain communication. Lots of progress has been achieved in deciphering the core bridging mechanism connecting peripheral inflammation and cognitive impairments, which may be helpful in developing early diagnosis, prognosis evaluation, and prevention methods based on peripheral blood circulation system sampling and intervention. In this review, we summarized the evolving evidence on the prevalence of peripheral inflammation-associated neurocognitive impairments and discussed the research advances in the underlying mechanisms. We also highlighted the prevention and treatment strategies against peripheral inflammation-associated cognitive dysfunction.
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Affiliation(s)
- Siyou Tan
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Wenyan Chen
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Gaoyin Kong
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Lai Wei
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Yubo Xie
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery after Surgery for Gastrointestinal Cancer, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Gong XY, Hou DJ, Yang J, He JL, Cai MJ, Wang W, Lu XY, Gao J. Incidence of delirium after non-cardiac surgery in the Chinese elderly population: a systematic review and meta-analysis. Front Aging Neurosci 2023; 15:1188967. [PMID: 37455941 PMCID: PMC10346854 DOI: 10.3389/fnagi.2023.1188967] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Background POD places a heavy burden on the healthcare system as the number of elderly people undergoing surgery is increasing annually because of the aging population. As a large country with a severely aging population, China's elderly population has reached 267 million. There has been no summary analysis of the pooled incidence of POD in the elderly Chinese population. Methods Systematic search databases included PubMed, Web of Science, EMBASE, Cochrane Library Databases, China Knowledge Resource Integrated Database (CNKI), Chinese Biomedical Database (CBM), WanFang Database, and Chinese Science and Technology Periodicals (VIP). The retrieval time ranged from the database's establishment to February 8, 2023. The pooled incidence of delirium after non-cardiac surgery was calculated using a random effects model. Meta-regression, subgroup, and sensitivity analyses were used to explore the source of heterogeneity. Results A total of 52 studies met the inclusion criteria, involving 18,410 participants. The pooled incidence of delirium after non-cardiac surgery in the elderly Chinese population was 18.6% (95% CI: 16.4-20.8%). The meta-regression results revealed anesthesia method and year of publication as a source of heterogeneity. In the subgroup analysis, the gender subgroup revealed a POD incidence of 19.6% (95% CI: 16.9-22.3%) in males and 18.3% (95% CI: 15.7-20.9%) in females. The year of publication subgroup analysis revealed a POD incidence of 20.3% (95% CI: 17.4-23.3%) after 2018 and 14.6 (95% CI: 11.6-17.6%) in 2018 and before. In the subgroup of surgical types, the incidence of hip fracture surgery POD was 20.7% (95% CI: 17.6-24.3%), the incidence of non-cardiac surgery POD was 18.4% (95% CI: 11.8-25.1%), the incidence of orthopedic surgery POD was 16.6% (95% CI: 11.8-21.5%), the incidence of abdominal neoplasms surgery POD was 14.3% (95% CI: 7.6-21.1%); the incidence of abdominal surgery POD was 13.9% (95% CI: 6.4-21.4%). The anesthesia methods subgroup revealed a POD incidence of 21.5% (95% CI: 17.9-25.1%) for general anesthesia, 15.0% (95% CI: 10.6-19.3%) for intraspinal anesthesia, and 8.3% (95% CI: 10.6-19.3%) for regional anesthesia. The measurement tool subgroup revealed a POD incidence of 19.3% (95% CI: 16.7-21.9%) with CAM and 16.8% (95% CI: 12.6-21.0%) with DSM. The sample size subgroup revealed a POD incidence of 19.4% (95% CI: 16.8-22.1%) for patients ≤ 500 and 15.3% (95% CI: 11.0-19.7%) for patients > 500. The sensitivity analysis suggested that the pooled incidence of postoperative delirium in this study was stable. Conclusion Our systematic review of the incidence of delirium after non-cardiac surgery in elderly Chinese patients revealed a high incidence of postoperative delirium. Except for cardiac surgery, the incidence of postoperative delirium was higher for hip fracture surgery than for other types of surgery. However, this finding must be further explored in future large-sample studies. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier: PROSPERO CRD42023397883.
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Affiliation(s)
- Xiao-Yan Gong
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Dong-Jiang Hou
- School of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Jing Yang
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Jia-li He
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Ming-Jin Cai
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Wei Wang
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xian-Ying Lu
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Jing Gao
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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Matar E, Sanders RD. ‘Where there's smoke’: longitudinal cognitive disintegration after postoperative delirium? Br J Anaesth 2023:S0007-0912(23)00102-2. [PMID: 36990826 DOI: 10.1016/j.bja.2023.02.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/25/2023] [Accepted: 02/14/2023] [Indexed: 03/29/2023] Open
Abstract
Postoperative delirium is an important complication of surgery and is associated with poor long-term cognitive outcomes, although the neural basis underlying this relationship is poorly understood. Neuroimaging studies and network-based approaches play an important role in our understanding of the mechanism by which delirium relates to longitudinal cognitive decline. A recent resting state functional MRI study is reviewed, which shows reduced global connectivity up to 3 months after delirium, supporting recent models of delirium and opening the door for applying this approach to understanding the complex inter-relationship between delirium and dementia.
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Affiliation(s)
- Elie Matar
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Forefront Research Team, Brain and Mind Centre, University of Sydney, Sydney, Australia.
| | - Robert D Sanders
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; NHMRC Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Department of Anaesthetics and Institute of Academic Surgery, Royal Prince Alfred Hospital, Sydney Local Health District, Camperdown, NSW, Australia.
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