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Hau EM, Sláma T, Essig S, Michel G, Wengenroth L, Bergstraesser E, von der Weid NX, Schindera C, Kuehni CE. Validation of self-reported cardiovascular problems in childhood cancer survivors by contacting general practitioners: feasibility and results. BMC PRIMARY CARE 2024; 25:81. [PMID: 38459512 PMCID: PMC10921568 DOI: 10.1186/s12875-024-02322-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 02/23/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Epidemiological studies often rely on self-reported health problems and validation greatly improves study quality. In a study of late effects after childhood cancer, we validated self-reported cardiovascular problems by contacting general practitioners (GPs). This paper describes: (a) the feasibility of this approach; and (b) the agreement between survivor-reports and reports from their GP. METHODS The Swiss Childhood Cancer Survivor Study (SCCSS) contacts all childhood cancer survivors registered in the Swiss Childhood Cancer Registry since 1976 who survived at least 5 years from cancer diagnosis. We validated answers of all survivors who reported a cardiovascular problem in the questionnaire. Reported cardiovascular problems were hypertension, arrhythmia, congestive heart failure, myocardial infarction, angina pectoris, stroke, thrombosis, and valvular problems. In the questionnaire, we further asked survivors to provide a valid address of their GP and a consent for contact. We sent case-report forms to survivors' GPs and requested information on cardiovascular diagnoses of their patients. To determine agreement between information reported by survivors and GPs, we calculated Cohen's kappa (κ) coefficients for each category of cardiovascular problems. RESULTS We used questionnaires from 2172 respondents of the SCCSS. Of 290 survivors (13% of 2172) who reported cardiovascular problems, 166 gave consent to contact their GP and provided a valid address. Of those, 135 GPs (81%) replied, and 128 returned the completed case-report form. Survivor-reports were confirmed by 54/128 GPs (42%). Of the 54 GPs, 36 (28% of 128) confirmed the problems as reported by the survivors; 11 (9% of 128) confirmed the reported problem(s) and gave additional information on more cardiovascular outcomes; and seven GPs (5% of 128) confirmed some, but not all cardiovascular problems. Agreement between GPs and survivors was good for stroke (κ = 0.79), moderate for hypertension (κ = 0.51), arrhythmias (κ = 0.41), valvular problems (κ = 0.41) and thrombosis (κ = 0.56), and poor for coronary heart disease (κ = 0.15) and heart failure (κ = 0.32). CONCLUSIONS Despite excellent GP compliance, it was found unfeasible to validate self-reported cardiovascular problems via GPs because they do not serve as gatekeepers in the Swiss health care system. It is thus necessary to develop other validation methods to improve the quality of patient-reported outcomes.
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Affiliation(s)
- Eva-Maria Hau
- Childhood Cancer Research Group, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Tomáš Sláma
- Childhood Cancer Research Group, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Stefan Essig
- Center for Primary and Community Care, University of Lucerne, Lucerne, Switzerland
| | - Gisela Michel
- Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Laura Wengenroth
- Institute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Eva Bergstraesser
- Paediatric Palliative Care and Children's Research Center CRC, University Children's Hospital Zurich, Zurich, Switzerland
| | - Nicolas X von der Weid
- Division of Paediatric Oncology/Haematology, University Children's Hospital Basel, University of Basel, Basel, Switzerland
| | - Christina Schindera
- Childhood Cancer Research Group, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Division of Paediatric Oncology/Haematology, University Children's Hospital Basel, University of Basel, Basel, Switzerland
| | - Claudia E Kuehni
- Childhood Cancer Research Group, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
- Paediatric Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
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Silva RH, Lopes-Silva LB, Cunha DG, Becegato M, Ribeiro AM, Santos JR. Animal Approaches to Studying Risk Factors for Parkinson's Disease: A Narrative Review. Brain Sci 2024; 14:156. [PMID: 38391730 PMCID: PMC10887213 DOI: 10.3390/brainsci14020156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/25/2024] [Accepted: 01/31/2024] [Indexed: 02/24/2024] Open
Abstract
Despite recent efforts to search for biomarkers for the pre-symptomatic diagnosis of Parkinson's disease (PD), the presence of risk factors, prodromal signs, and family history still support the classification of individuals at risk for this disease. Human epidemiological studies are useful in this search but fail to provide causality. The study of well-known risk factors for PD in animal models can help elucidate mechanisms related to the disease's etiology and contribute to future prevention or treatment approaches. This narrative review aims to discuss animal studies that investigated four of the main risk factors and/or prodromal signs related to PD: advanced age, male sex, sleep alterations, and depression. Different databases were used to search the studies, which were included based on their relevance to the topic. Although still in a reduced number, such studies are of great relevance in the search for evidence that leads to a possible early diagnosis and improvements in methods of prevention and treatment.
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Affiliation(s)
- R H Silva
- Behavioral Neuroscience Laboratory, Department of Pharmacology, Universidade Federal de São Paulo, São Paulo 04021-001, SP, Brazil
| | - L B Lopes-Silva
- Behavioral Neuroscience Laboratory, Department of Pharmacology, Universidade Federal de São Paulo, São Paulo 04021-001, SP, Brazil
| | - D G Cunha
- Behavioral Neuroscience Laboratory, Department of Pharmacology, Universidade Federal de São Paulo, São Paulo 04021-001, SP, Brazil
| | - M Becegato
- Behavioral Neuroscience Laboratory, Department of Pharmacology, Universidade Federal de São Paulo, São Paulo 04021-001, SP, Brazil
| | - A M Ribeiro
- Laboratory of Neuroscience and Bioprospecting of Natural Products, Department of Biosciences, Universidade Federal de São Paulo, Santos 11015-020, SP, Brazil
| | - J R Santos
- Behavioral and Evolutionary Neurobiology Laboratory, Department of Biosciences, Federal University of Sergipe, Itabaiana 49500-000, SE, Brazil
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Lomme J, Reedijk M, Peters S, Downward GS, Stefanopoulou M, Vermeulen R, Huss A. Traffic-related air pollution, road traffic noise, and Parkinson's disease: Evaluations in two Dutch cohort studies. Environ Epidemiol 2023; 7:e272. [PMID: 38912395 PMCID: PMC11189687 DOI: 10.1097/ee9.0000000000000272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/06/2023] [Indexed: 06/25/2024] Open
Abstract
Background Environmental factors such as air pollution have been associated with Parkinson's disease (PD), but findings have been inconsistent. We investigated the association between exposure to several air pollutants, road traffic noise, and PD risk in two Dutch cohorts. Methods Data from 50,087 participants from two Dutch population-based cohort studies, European Prospective Investigation into Cancer and Nutrition in the Netherlands and Arbeid, Milieu en Gezondheid Onderzoek were analyzed. In these cohorts, 235 PD cases were ascertained based on a previously validated algorithm combining self-reported information (diagnosis, medication, and symptoms) and registry data. We assigned the following traffic-related exposures to residential addresses at baseline: NO2, NOx, particulate matter (PM)2.5absorbance (as a marker for black carbon exposure), PM with aerodynamic diameter ≤2.5 µm (PM2.5), ≤10 µm (PM10), PMcoarse (size fraction 2.5-10 µm), ultrafine particles <0.1 µm (UFP), and road traffic noise (Lden). Logistic regression models were applied to investigate the associations with PD, adjusted for possible confounders. Results Both single- and two-pollutant models indicated associations between exposure to NOx, road traffic noise, and increasing odds of developing PD. Odds ratios of fully adjusted two-pollutant models in the highest compared with the lowest exposure quartile were 1.62 (95% CI = 1.02, 2.62) for NOx and 1.47 (95% CI = 0.97, 2.25) for road traffic noise, with clear trends across exposure categories. Conclusions Our findings suggest that NOx and road traffic noise are associated with an increased risk of PD. While the association with NOx has been shown before, further investigation into the possible role of environmental noise on PD is warranted.
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Affiliation(s)
- Jara Lomme
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Marije Reedijk
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - George S. Downward
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | | | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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Cao Z, Song S, Huang X, Li C, Luo Z, D’Aloisio AA, Suarez L, Hernandez DG, Singleton AB, Sandler DP, Chen H. Parkinson's Disease Case Ascertainment in the Sister Study: A Cohort for Environmental Health Research. JOURNAL OF PARKINSON'S DISEASE 2023; 13:729-742. [PMID: 37334620 PMCID: PMC10473078 DOI: 10.3233/jpd-230053] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/30/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Large prospective studies are essential for investigating the environmental causes of Parkinson's disease (PD), but PD diagnosis via clinical exams is often infeasible in such studies. OBJECTIVE To present case ascertainment strategy and data collection in a US cohort of women. METHODS In the Sister Study (n = 50,884, baseline ages 55.6±9.0), physician-made PD diagnoses were first reported by participants or their proxies. Cohort-wide follow-up surveys collected data on subsequent diagnoses, medication usage and PD-relevant motor and nonmotor symptoms. We contacted self-reported PD cases and their treating physicians to obtain relevant diagnostic and treatment history. Diagnostic adjudication was made via expert review of all available data, except nonmotor symptoms. We examined associations of nonmotor symptoms with incident PD, using multivariable logistic regression models and reported odds ratio (OR) and 95% confidence intervals (CI). RESULTS Of the 371 potential PD cases identified, 242 diagnoses were confirmed. Compared with unconfirmed cases, confirmed cases were more likely to report PD diagnosis from multiple sources, medication usage, and motor and nonmotor features consistently during the follow-up. PD polygenic risk score was associated with confirmed PD (ORinter-quartile range = 1.74, 95% CI: 1.45-2.10), but not with unconfirmed cases (corresponding OR = 1.05). Hyposmia, dream-enacting behaviors, constipation, depression, unexplained weight loss, dry eyes, dry mouth, and fatigue were significantly related to PD risk, with ORs from 1.71 to 4.88. Only one of the eight negative control symptoms was associated with incident PD. CONCLUSION Findings support our PD case ascertainment approach in this large cohort of women. PD prodromal presentation is likely beyond its well-documented profile.
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Affiliation(s)
- Zichun Cao
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Shengfang Song
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Aimee A. D’Aloisio
- Social & Scientific Systems, a DLH Holdings Corporation, Durham, NC, USA
| | - Lourdes Suarez
- Social & Scientific Systems, a DLH Holdings Corporation, Durham, NC, USA
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
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Canonico M, Artaud F, Degaey I, Moisan F, Kabore R, Portugal B, Nguyen TTH, Pesce G, Boutron-Ruault MC, Roze E, Elbaz A. Incidence of Parkinson's disease in French women from the E3N cohort study over 27 years of follow-up. Eur J Epidemiol 2022; 37:513-523. [PMID: 35286513 DOI: 10.1007/s10654-022-00851-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 02/06/2022] [Indexed: 11/03/2022]
Abstract
Parkinson's disease (PD) is an uncommon disease with a long prodromal period and higher incidence in men than women. Large cohort studies of women with a long follow-up are needed. Within the E3N French cohort study (98,995 women, 40-65 years at baseline), we identified 3,584 participants who self-reported PD or used anti-parkinsonian drugs over 27 years (1992-2018). We obtained medical records to validate PD diagnosis (definite, probable, possible, no). When medical records were not available, we used a validated algorithm based on drug claims to predict PD status. We retained a PD diagnosis for 1,294 women (medical records, 62%; algorithm, 38%). After exclusion of prevalent/possible cases, cases without age at diagnosis, and women lost to follow-up, our analyses included 98,069 women, of whom 1,200 had incident PD (mean age at diagnosis = 71.8 years; incidence rate = 0.494/1,000 person-years). Age-adjusted incidence rates increased over the six first years of follow-up, possibly due to healthy volunteer bias, and remained stable thereafter, similar to incidence rates in women from Western Europe. Forty three percent of PD cases occurred after 20 years of follow-up (2012-2018). The cumulative incidence of PD from 50 to 90 years was 2.41% (95% confidence interval [CI] = 2.27-2.65). PD incidence was lower in ever than never smokers (hazard ratio = 0.86, 95% CI = 0.76-0.96). In conclusion, we estimated PD incidence rates in French women over a 27-year follow-up, and showed stable incidence between 2002 and 2018. The long follow-up and large sample size make this study a valuable resource to improve our knowledge on PD etiology in women.
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Affiliation(s)
- Marianne Canonico
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Fanny Artaud
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Isabelle Degaey
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Frédéric Moisan
- Santé publique France, French Public Health Agency, Direction Santé Environnement Travail, Saint-Maurice, France
| | - Rahime Kabore
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Berta Portugal
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Thi Thu Ha Nguyen
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Giancarlo Pesce
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Marie-Christine Boutron-Ruault
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France
| | - Emmanuel Roze
- Département de Neurologie, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France.,Sorbonne Université, Paris, France.,INSERM U1127, CNRS 7225, Institut du Cerveau, Paris, France
| | - Alexis Elbaz
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health, INSERM, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif Cedex, France.
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Shrestha S, Parks CG, Richards-Barber M, Chen H, Sandler DP. Parkinson's disease case ascertainment in a large prospective cohort. PLoS One 2021; 16:e0251852. [PMID: 34010345 PMCID: PMC8133399 DOI: 10.1371/journal.pone.0251852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 05/03/2021] [Indexed: 11/30/2022] Open
Abstract
Background In epidemiologic studies where physician-based case adjudication is not feasible, Parkinson’s disease (PD) case ascertainment is often limited to self-reports which may not be accurate. We evaluated strategies to identify PD cases in the Agricultural Health Study (AHS). Methods Doctor-diagnosed PD was self-reported on all cohort-wide surveys; potential cases were also identified from death certificates. Follow-up surveys asked about PD-related motor and non-motor symptoms. For PD confirmation, we collected additional diagnosis, symptom, and treatment data from 510 potential PD cases or their proxy (65% of those contacted) in a supplemental screener and obtained medical records for a subset (n = 65). We classified PD cases using established criteria and screener data. Results Of 510 potential PD cases, 75% were considered “probable” or “possible”; this proportion increased among participants diagnosed by a specialist (81.2%), taking PD medication (85.2%), or reporting ≥5 motor symptoms (86.8%) in a regular AHS survey. Of those with medical records, 93% (57 of 61) of probable or possible PD was confirmed. Never-smoking and non-motor and motor symptoms reported in prior AHS surveys were more common with probable/possible PD than unconfirmed PD. Conclusion In this retrospective PD case ascertainment effort, we found that PD self-report with information on motor symptoms or medications may be a reasonable alternative for identifying PD cases when physician exam is not feasible. Because of intervening mortality, screeners could not be obtained from about one-third of those contacted. Thus, findings warrant replication.
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Affiliation(s)
- Srishti Shrestha
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, United States of America
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, United States of America
| | | | - Honglei Chen
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, United States of America
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, United States of America
- * E-mail:
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