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Jani M, Girard N, Bates DW, Buckeridge DL, Dixon WG, Tamblyn R. Comparative risk of mortality in new users of prescription opioids for noncancer pain: results from the International Pharmacosurveillance Study. Pain 2025; 166:1118-1127. [PMID: 39503752 PMCID: PMC12004978 DOI: 10.1097/j.pain.0000000000003446] [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: 03/26/2024] [Revised: 08/29/2024] [Accepted: 09/08/2024] [Indexed: 04/17/2025]
Abstract
ABSTRACT Although opioids continue to be used internationally for noncancer pain, evidence to date on the comparative safety of different opioids is sparse and conflicting. The aim of this study was to examine the comparative risk of all-cause mortality in patients newly initiated on opioids for noncancer pain, across 3 jurisdictions in the United Kingdom (UK), United States, and Canada. A multicentre retrospective, population-based cohort study was conducted. Data sources included UK national primary care electronic health records (Clinical Practice Research Datalink), The Partners HealthCare Research Patient Data in Boston (US), and The Montreal Population Health Record data (Canada). New users of opioids aged ≥18 years without cancer were included. Patients with a diagnosis of a pain condition and with known back pain were analysed separately. Fully adjusted hazard ratios (HRs) were calculated using Cox-proportional models and adjusted for confounders. In total, 1,066,216 patients were included (UK: n = 993,294; Boston, US: n = 43,243; Montreal, Canada: n = 26,116). Compared with codeine, patients using morphine had a significantly higher adjusted risk in the UK {HR: 12.58 [95% confidence interval (CI), 11.87-13.32]}, US (HR: 8.62 [95% CI, 3.34-22.27]), and Canadian cohorts (HR: 6.69; [95% CI, 1.35-32.22]). In addition, other factors associated with higher mortality were being on combination opioids, fentanyl, buprenorphine, and oxycodone. Compared with those on <50 morphine milligram equivalents/day, patients on higher-doses experience an incremental increase in risk. In new users of opioids, compared with codeine, strong opioids, including morphine, fentanyl, buprenorphine, oxycodone, and combination opioids, and those on ≥50 morphine milligram equivalent/day were associated with a higher subsequent risk of all-cause mortality.
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Affiliation(s)
- Meghna Jani
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research. The University of Manchester, UK
- Department of Rheumatology, Salford Royal Foundation Trust, Salford, United Kingdom
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Nadyne Girard
- Department of Epidemiology, Biostatistics, and Occupational Health, University of McGill, Montreal, QC, Canada
- Clinical and Health Informatics Research Group, McGill University, Montreal, QC, Canada
| | - David W. Bates
- Harvard Medical School, Boston, MA, United States
- Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - David L. Buckeridge
- Department of Epidemiology, Biostatistics, and Occupational Health, University of McGill, Montreal, QC, Canada
- Clinical and Health Informatics Research Group, McGill University, Montreal, QC, Canada
| | - William G. Dixon
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research. The University of Manchester, UK
- Department of Rheumatology, Salford Royal Foundation Trust, Salford, United Kingdom
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Robyn Tamblyn
- Department of Epidemiology, Biostatistics, and Occupational Health, University of McGill, Montreal, QC, Canada
- Clinical and Health Informatics Research Group, McGill University, Montreal, QC, Canada
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Jani M, Girard N, Bates DW, Buckeridge DL, Sheppard T, Li J, Iqbal U, Vik S, Weaver C, Seidel J, Dixon WG, Tamblyn R. Opioid prescribing among new users for non-cancer pain in the USA, Canada, UK, and Taiwan: A population-based cohort study. PLoS Med 2021; 18:e1003829. [PMID: 34723956 PMCID: PMC8601614 DOI: 10.1371/journal.pmed.1003829] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 11/18/2021] [Accepted: 09/30/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The opioid epidemic in North America has been driven by an increase in the use and potency of prescription opioids, with ensuing excessive opioid-related deaths. Internationally, there are lower rates of opioid-related mortality, possibly because of differences in prescribing and health system policies. Our aim was to compare opioid prescribing rates in patients without cancer, across 5 centers in 4 countries. In addition, we evaluated differences in the type, strength, and starting dose of medication and whether these characteristics changed over time. METHODS AND FINDINGS We conducted a retrospective multicenter cohort study of adults who are new users of opioids without prior cancer. Electronic health records and administrative health records from Boston (United States), Quebec and Alberta (Canada), United Kingdom, and Taiwan were used to identify patients between 2006 and 2015. Standard dosages in morphine milligram equivalents (MMEs) were calculated according to The Centers for Disease Control and Prevention. Age- and sex-standardized opioid prescribing rates were calculated for each jurisdiction. Of the 2,542,890 patients included, 44,690 were from Boston (US), 1,420,136 Alberta, 26,871 Quebec (Canada), 1,012,939 UK, and 38,254 Taiwan. The highest standardized opioid prescribing rates in 2014 were observed in Alberta at 66/1,000 persons compared to 52, 51, and 18/1,000 in the UK, US, and Quebec, respectively. The median MME/day (IQR) at initiation was highest in Boston at 38 (20 to 45); followed by Quebec, 27 (18 to 43); Alberta, 23 (9 to 38); UK, 12 (7 to 20); and Taiwan, 8 (4 to 11). Oxycodone was the first prescribed opioid in 65% of patients in the US cohort compared to 14% in Quebec, 4% in Alberta, 0.1% in the UK, and none in Taiwan. One of the limitations was that data were not available from all centers for the entirety of the 10-year period. CONCLUSIONS In this study, we observed substantial differences in opioid prescribing practices for non-cancer pain between jurisdictions. The preference to start patients on higher MME/day and more potent opioids in North America may be a contributing cause to the opioid epidemic.
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Affiliation(s)
- Meghna Jani
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom
- Department of Rheumatology, Salford Royal Foundation Trust, Salford, United Kingdom
| | - Nadyne Girard
- Department of Epidemiology, Biostatistics & Occupational Health, University of McGill, Montreal, Canada
- Clinical and Health Informatics Research Group, McGill University, Montreal, Canada
| | - David W. Bates
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - David L. Buckeridge
- Department of Epidemiology, Biostatistics & Occupational Health, University of McGill, Montreal, Canada
- Clinical and Health Informatics Research Group, McGill University, Montreal, Canada
| | - Therese Sheppard
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom
| | - Jack Li
- International Centre for Health Information Technology (ICHIT), Taipei Medical University, Taipei City, Taiwan
- Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei City, Taiwan
| | - Usman Iqbal
- International Centre for Health Information Technology (ICHIT), Taipei Medical University, Taipei City, Taiwan
- Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei City, Taiwan
| | - Shelly Vik
- Applied Research and Evaluation Services, Alberta Health Services, Calgary, Canada
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Colin Weaver
- Applied Research and Evaluation Services, Alberta Health Services, Calgary, Canada
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Judy Seidel
- Applied Research and Evaluation Services, Alberta Health Services, Calgary, Canada
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - William G. Dixon
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom
- Department of Rheumatology, Salford Royal Foundation Trust, Salford, United Kingdom
| | - Robyn Tamblyn
- Department of Epidemiology, Biostatistics & Occupational Health, University of McGill, Montreal, Canada
- Clinical and Health Informatics Research Group, McGill University, Montreal, Canada
- * E-mail:
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Kwint MH, Walraven I, Verheij M, Sonke JJ, Belderbos JSA, Janssen TM. The use of real-world evidence to audit normal tissue complication probability models for acute esophageal toxicity in non-small cell lung cancer patients. Radiother Oncol 2020; 146:52-57. [PMID: 32114266 DOI: 10.1016/j.radonc.2020.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 01/28/2020] [Accepted: 02/11/2020] [Indexed: 12/25/2022]
Abstract
INTRODUCTION The aim of this work is to assess the validity of real world data (RWD) derived from an electronic toxicity registration (ETR). As a showcase, the NTCP-models of acute esophageal toxicity (AET) for concurrent chemoradiation (CCRT) for NSCLC patients were used to validate the ETR of AET before/after dose de-escalation to the mediastinal lymph nodes. MATERIAL AND METHODS One hundred and one patients received 24 × 2.75 Gy and 116 patients received de-escalated dose of 24 × 2.42 Gy to the mediastinal lymph nodes. The validity and completeness of the ETR was analyzed. The grade ≥2 AET probability was defined according the V50 Gy and V60 Gy NTCP-models from literature. Validity of the models was assessed by calibration and discrimination. Furthermore, sensitivity and specificity for different cut-off points were determined. RESULTS The compliance of ETR was 73-80%, with sensitivity and specificity rates of 83% and 86% for grade ≥2 AET, respectively. Discrimination of both NTCP-models demonstrated a moderate accuracy (V50 model, AUC 0.71; V60-model, AUC 0.69). Dose de-escalation did not influence the accuracy of the V50-model; AUC before: 0.69, and AUC after: 0.71. For the V60-model the model-accuracy decreased after dose de-escalation; AUC before: 0.72 and AUC after: 0.62, respectively. CONCLUSION RWD is a useful method to audit NTCP models in clinical practice. The NTCP models to predict AET in NSCLC patients showed moderate predictive accuracy. For clinical practice, the V50Gy seems to be most stable for dose de-escalation without compromising safety and efficacy.
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Affiliation(s)
- Margriet H Kwint
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Iris Walraven
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marcel Verheij
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan-Jakob Sonke
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - José S A Belderbos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Tomas M Janssen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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Lee S, Xu Y, D Apos Souza AG, Martin EA, Doktorchik C, Zhang Z, Quan H. Unlocking the Potential of Electronic Health Records for Health Research. Int J Popul Data Sci 2020; 5:1123. [PMID: 32935049 PMCID: PMC7473254 DOI: 10.23889/ijpds.v5i1.1123] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Electronic health records (EHRs), originally designed to facilitate health care delivery, are becoming a valuable data source for health research. EHR systems have two components, both of which have various components, and points of data entry, management, and analysis. The “front end” refers to where the data are entered, primarily by healthcare workers (e.g. physicians and nurses). The second component of EHR systems is the electronic data warehouse, or “back-end,” where the data are stored in a relational database. EHR data elements can be of many types, which can be categorized as structured, unstructured free-text, and imaging data. The Sunrise Clinical Manager (SCM) EHR is one example of an inpatient EHR system, which covers the city of Calgary (Alberta, Canada). This system, under the management of Alberta Health Services, is now being explored for research use. The purpose of the present paper is to describe the SCM EHR for research purposes, showing how this generalizes to EHRs in general. We further discuss advantages, challenges (e.g. potential bias and data quality issues), analytical capacities, and requirements associated with using EHRs in a health research context.
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Affiliation(s)
- S Lee
- Department of Community Health Sciences, University of Calgary.,Centre for Health Informatics, University of Calgary.,Analytics, Alberta Health Services
| | - Y Xu
- Department of Community Health Sciences, University of Calgary.,Centre for Health Informatics, University of Calgary
| | - A G D Apos Souza
- Centre for Health Informatics, University of Calgary.,Analytics, Alberta Health Services
| | - E A Martin
- Centre for Health Informatics, University of Calgary.,Analytics, Alberta Health Services
| | - C Doktorchik
- Department of Community Health Sciences, University of Calgary.,Centre for Health Informatics, University of Calgary
| | - Z Zhang
- Department of Community Health Sciences, University of Calgary.,Centre for Health Informatics, University of Calgary
| | - H Quan
- Department of Community Health Sciences, University of Calgary.,Centre for Health Informatics, University of Calgary
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Tamblyn R, Bates DW, Buckeridge DL, Dixon W, Forster AJ, Girard N, Haas J, Habib B, Kurteva S, Li J, Sheppard T. Multinational comparison of new antidepressant use in older adults: a cohort study. BMJ Open 2019; 9:e027663. [PMID: 31092665 PMCID: PMC6530307 DOI: 10.1136/bmjopen-2018-027663] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES We used an international pharmacosurveillance network to estimate the rate and characteristics of antidepressant use in older adults in countries with more conservative (UK) and liberal depression guidelines (Canada, USA). SETTING Electronic health records and population-based administrative data from six jurisdictions in four countries (UK, Taiwan, USA and Canada). PARTICIPANTS A historical cohort of older adults (≥65 years) who had a new episode of antidepressant use between 2009 and 2014. OUTCOME MEASURES The age and sex-standardised cumulative incidence of new episodes of antidepressant use in older adults was measured. Descriptive statistics were used to compare the proportion of new users by the antidepressant prescribed, therapeutic class, potential treatment indication and country, as well as the characteristics of the first treatment episode (standardised daily doses, duration and changes). RESULTS The incidence of antidepressant use between 2009 and 2014 varied from 4.7% (Montreal and Quebec City) to 18.6% (Taiwan). Tricyclic antidepressants (TCAs) were the most commonly used class in the UK (48.8%) and Taiwan (52.4%) compared with selective serotonin reuptake inhibitors (SSRIs) in North American jurisdictions (42.3%-53.3%). Chronic pain was the most common potential treatment indication (41.2%-68.2%). Among users with chronic pain, TCAs were used most frequently in the UK and Taiwan (55.2%-60.4%), whereas SSRIs were used most frequently in North America (33.5%-46.4%). Treatment was longer (252-525 vs 169-437 days), standardised doses were higher (0.7-1.3 vs 0.5-1.0) and treatment was more likely to be changed (31%-46% vs 21%-34%) among patients with depression (9.1%-43%) than those with chronic pain. CONCLUSION Antidepressant use in older adults varied 24-fold by country, with the UK, which has the most conservative treatment guidelines, being among the lowest. Chronic pain was the most common potential treatment indication. Evaluation of real-world risks of TCAs is a priority for future research, given high rates of use and the potential for increased toxicity in older adults because of potent anticholinergic effects.
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Affiliation(s)
- Robyn Tamblyn
- Department of Medicine and Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada
| | | | - David L Buckeridge
- Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Direction de santé publique, Agence de la Santé et des services Sociaux de Montréal, Montreal, Quebec, Canada
| | - Will Dixon
- Arthritis Research UK Centre for Epidemiology, University of Manchester, Manchester, UK
| | - Alan J Forster
- Internal Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Nadyne Girard
- Clinical and Health Informatics Research Group, McGill University, Montreal, Quebec, Canada
| | - Jennifer Haas
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Bettina Habib
- Clinical and Health Informatics Research Group, McGill University, Montreal, Quebec, Canada
| | - Siyana Kurteva
- Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Jack Li
- Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan
| | - Therese Sheppard
- Department of Medicine, University of Manchester, Manchester, UK
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Singleton DA, Sánchez-Vizcaíno F, Arsevska E, Dawson S, Jones PH, Noble PJM, Pinchbeck GL, Williams NJ, Radford AD. New approaches to pharmacosurveillance for monitoring prescription frequency, diversity, and co-prescription in a large sentinel network of companion animal veterinary practices in the United Kingdom, 2014-2016. Prev Vet Med 2018; 159:153-161. [PMID: 30314778 PMCID: PMC6193134 DOI: 10.1016/j.prevetmed.2018.09.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 04/04/2018] [Accepted: 09/04/2018] [Indexed: 10/28/2022]
Abstract
Pharmaceutical agents (PAs) are commonly prescribed in companion animal practice in the United Kingdom. However, little is known about PA prescription on a population-level, particularly with respect to PAs authorised for human use alone prescribed via the veterinary cascade; this raises important questions regarding the efficacy and safety of PAs prescribed to companion animals. This study explored new approaches for describing PA prescription, diversity and co-prescription in dogs, cats and rabbits utilising electronic health records (EHRs) from a sentinel network of 457 companion animal-treating veterinary sites throughout the UK over a 2-year period (2014-2016). A novel text mining-based identification and classification methodology was utilised to semi-automatically map practitioner-defined product descriptions recorded in 918,333 EHRs from 413,870 dogs encompassing 1,242,270 prescriptions; 352,730 EHRs from 200,541 cats encompassing 491,554 prescriptions, and 22,526 EHRS from 13,398 rabbits encompassing 18,490 prescriptions respectively. PA prescription as a percentage of booked consultations was 65.4% (95% confidence interval, CI, 64.6-66.3) in dogs; in cats it was 69.1% (95% CI, 67.9-70.2) and in rabbits, 56.3% (95% CI, 54.7-57.8). Vaccines were the most commonly prescribed PAs in all three species, with antibiotics, antimycotics, and parasiticides also commonly prescribed. PA prescription utilising products authorised for human use only (hence, 'human-authorised') comprised 5.1% (95% CI, 4.7-5.5) of total canine prescription events; in cats it was 2.8% (95% CI, 2.6-3.0), and in rabbits, 7.8% (95% CI, 6.5-9.0). The most commonly prescribed human-authorised PA in dogs was metronidazole (antibiotic); in cats and rabbits it was ranitidine (H2 histamine receptor antagonist). Using a new approach utilising the Simpson's Diversity Index (an ecological measure of relative animal, plant etc. species abundance), we identified differences in prescription based on presenting complaint and species, with rabbits generally exposed to a less diverse range of PAs than dogs or cats, potentially reflecting the paucity of authorised PAs for use in rabbits. Finally, through a novel application of network analysis, we demonstrated the existence of three major co-prescription groups (preventive health; treatment of disease, and euthanasia); a trend commonly observed in practice. This study represents the first time PA prescription has been described across all pharmaceutical families in a large population of companion animals, encompassing PAs authorised for both veterinary and human-only use. These data form a baseline against which future studies could be compared, and provides some useful tools for understanding PA comparative efficacy and risks when prescribed in the varied setting of clinical practice.
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Affiliation(s)
- D A Singleton
- Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom.
| | - F Sánchez-Vizcaíno
- National Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections, The Farr Institute @ HeRC, University of Liverpool, Waterhouse Building, Liverpool, L69 3GL, United Kingdom
| | - E Arsevska
- Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
| | - S Dawson
- Institute of Veterinary Science, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
| | - P H Jones
- Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
| | - P J M Noble
- Institute of Veterinary Science, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
| | - G L Pinchbeck
- Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
| | - N J Williams
- Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
| | - A D Radford
- Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Chester High Road, Neston, CH64 7TE, United Kingdom
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