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Bao Y, Wang L, Cui C, Yu F, Yang J, Huang D. Bidirectional association between hypothyroidism and myasthenia gravis: a Mendelian randomized study. Neurol Res 2024; 46:72-80. [PMID: 37695759 DOI: 10.1080/01616412.2023.2257458] [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: 04/03/2023] [Accepted: 07/30/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVES Although observational studies have suggested a link between hypothyroidism and myasthenia gravis (MG), a causal relationship has not been established. We aimed to investigate the causal association using a two-sample Mendelian randomization (MR) study. METHODS Using summary statistics from genome-wide association studies involving 494,577 and 38,243 individuals, single-nucleotide polymorphisms exhibiting no linkage disequilibrium (r2 ≤ 0.001) and displaying significant differences (p ≤ 5 × 10-8) were selected for hypothyroidism and MG. To assess the potential causality relationship between hypothyroidism and MG, MR analysis was conducted using inverse variance weighted (IVW), weighted median method, and MR-Egger. The MR-Egger regression, heterogeneity test, pleiotropy test, and leave-one-out sensitivity test were employed to examine sensitivity analyses. In addition, validation datasets were used to validate the relevant results. RESULTS Genetic liability to hypothyroidism was positively associated with MG (IVW, OR: 1.36, 95% CI: 1.17-1.58, p = 7.53 × 10-05; weighted median, OR: 1.19, 95% CI: 0.70-2.02, p = 0.522; MR-Egger, OR: 1.19, 95% CI: 0.98-1.45, p = 0.080). Among the three MR methods, the correlation between hypothyroidism and MG genetic prediction was consistent. The independent validation set (IVW, OR: 466.47, 95% CI: 4.70 -46,285.95, p = 0.01) further supported this. Additionally, bidirectional studies showed that using IVW, there was no reverse causality (OR: 1.104, 95%CI: 0.96-1.27, p = 0.170). DISCUSSION This MR study showed that hypothyroidism can increase the risk of MG. Further investigation into the underlying mechanisms of this potential causality is warranted to offer novel therapeutic options for MG in the future.
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Affiliation(s)
| | | | | | - Fei Yu
- Department of neurology, Tongji University, School Med, East Hospital, Shanghai, the Peoples Republic of China
| | - Jie Yang
- Department of neurology, Tongji University, School Med, East Hospital, Shanghai, the Peoples Republic of China
| | - Dongya Huang
- Department of neurology, Tongji University, School Med, East Hospital, Shanghai, the Peoples Republic of China
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Ataş PK. A novel hybrid model to predict concomitant diseases for Hashimoto's thyroiditis. BMC Bioinformatics 2023; 24:319. [PMID: 37620755 PMCID: PMC10464155 DOI: 10.1186/s12859-023-05443-5] [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: 04/25/2023] [Accepted: 08/10/2023] [Indexed: 08/26/2023] Open
Abstract
Hashimoto's thyroiditis is an autoimmune disorder characterized by the destruction of thyroid cells through immune-mediated mechanisms involving cells and antibodies. The condition can trigger disturbances in metabolism, leading to the development of other autoimmune diseases, known as concomitant diseases. Multiple concomitant diseases may coexist in a single individual, making it challenging to diagnose and manage them effectively. This study aims to propose a novel hybrid algorithm that classifies concomitant diseases associated with Hashimoto's thyroiditis based on sequences. The approach involves building distinct prediction models for each class and using the output of one model as input for the subsequent one, resulting in a dynamic decision-making process. Genes associated with concomitant diseases were collected alongside those related to Hashimoto's thyroiditis, and their sequences were obtained from the NCBI site in fasta format. The hybrid algorithm was evaluated against common machine learning algorithms and their various combinations. The experimental results demonstrate that the proposed hybrid model outperforms existing classification methods in terms of performance metrics. The significance of this study lies in its two distinctive aspects. Firstly, it presents a new benchmarking dataset that has not been previously developed in this field, using diverse methods. Secondly, it proposes a more effective and efficient solution that accounts for the dynamic nature of the dataset. The hybrid approach holds promise in investigating the genetic heterogeneity of complex diseases such as Hashimoto's thyroiditis and identifying new autoimmune disease genes. Additionally, the results of this study may aid in the development of genetic screening tools and laboratory experiments targeting Hashimoto's thyroiditis genetic risk factors. New software, models, and techniques for computing, including systems biology, machine learning, and artificial intelligence, are used in our study.
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Affiliation(s)
- Pınar Karadayı Ataş
- Department of Computer Engineering, Istanbul Arel University, 34537, Buyukcekmece, Istanbul, Turkey.
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Lin Y, Kuang Q, Li H, Liang B, Lu J, Jiang Q, Yang X. Outcome and clinical features in juvenile myasthenia gravis: A systematic review and meta-analysis. Front Neurol 2023; 14:1119294. [PMID: 36970540 PMCID: PMC10032342 DOI: 10.3389/fneur.2023.1119294] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/17/2023] [Indexed: 03/10/2023] Open
Abstract
BackgroundJuvenile myasthenia gravis (JMG) is a rare autoimmune disease that has so far only been described in small cohort studies. We defined the clinical characteristics, management, and outcomes of JMG patients over the past 22 years.MethodsA search of PubMed, EMBASE, and web of science (1/2000–2/2022) identified all English language and human studies of JMG. The population was patients diagnosed with JMG. Outcomes included the history of myasthenic crisis, autoimmune comorbidity, mortality, and treatment outcome. Data extraction was performed by independent reviewers. And we performed a pooled reanalysis of all published data in the included studies and compared with other studies of adult cohorts.ResultsWe identified 11 articles describing 1,109 patients diagnosed between 2006 and 2021. JMG occurred in 60.4% of female patients. The mean age at presentation was 7.38 years old, and 60.6% of the patients had ocular symptoms as the first clinical manifestation. The most common initial presentation was ptosis, which occurred in 77.7% patients. AchR-Ab positive accounted for 78.7%. 641 patients received thymus examination, found to have thymic hyperplasia in 64.9% and thymoma in 2.2%. Autoimmune comorbidity was found in 13.6% and the most common one is thyroid disease (61.5%). First-line therapy, including pyridostigmine and steroids, was initiated in 97.8 and 68.6%, respectively. Six patients resolved spontaneously without treatment. Thymectomy was performed in 45.6%. 10.6% of patients had a history of myasthenic crisis. Completely stable remission was achieved in 23.7% and mortality was reported in 2 studies, which reported 8 deaths.ConclusionJMG is a rare disease with a relatively benign course, and differs from adult MG in some clinical features. The treatment regimen guideline for children is still not well-established. There is a need for prospective studies to properly evaluate treatment regimes.
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Myasthenia gravis and thyroid cancer. J Fr Ophtalmol 2023; 46:e25-e27. [PMID: 36494265 DOI: 10.1016/j.jfo.2022.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/13/2022] [Accepted: 06/20/2022] [Indexed: 12/12/2022]
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Forgash JT, Chang YM, Mittelman NS, Petesch S, Benedicenti L, Galban E, Hammond JJ, Glass EN, Barker JR, Shelton GD, Luo J, Garden OA. Clinical features and outcome of acquired myasthenia gravis in 94 dogs. J Vet Intern Med 2021; 35:2315-2326. [PMID: 34331481 PMCID: PMC8478050 DOI: 10.1111/jvim.16223] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 06/25/2021] [Accepted: 07/12/2021] [Indexed: 12/22/2022] Open
Abstract
Background Factors known to be associated with outcome of acquired myasthenia gravis (MG) in dogs are limited. Hypothesis/Objectives Of dogs with MG, advancing age and comorbid neoplasia are associated with poor long‐term prognosis and low rates of remission. Animals Ninety‐four client‐owned dogs with MG diagnosed by acetylcholine receptor antibody (AChR Ab) assay between 2001 and 2019 from a university clinic and 3 private clinics in the United States. Methods Cases were retrospectively evaluated and data were collected to determine clinical signs, treatment, and response to therapy defined by means of a clinical scoring rubric. Immunological remission was defined as a return of the AChR Ab concentration to <0.6 nmol/L. Multivariable binary logistic regression analysis was used to identify clinical criteria predicting remission. Results An anticholinesterase drug was used to treat 90/94 (96%) dogs, which in 63/94 (67%) was the sole treatment; other drugs included immune modulators. Clinical remission (lack of clinical signs ≥4 weeks after treatment cessation) was observed in 29 (31% [95% confidence interval (CI): 22.4‐40.8%]) dogs, clinical response (lack of clinical signs on treatment) in 14 (15% [95% CI: 9.0‐23.6%]) dogs, clinical improvement (on treatment) in 24 (26% [95% CI: 17.8‐35.2%]) dogs, and no clinical improvement in 27 (29% [95% CI: 20.5‐38.6%]) dogs. Immunological remission was observed in 27/46 (59%) dogs, with clinical remission in all 27. Younger age (P = .04) and comorbid endocrine disease (P = .04) were associated with clinical remission. Initial AChR Ab concentration (P = .02) and regurgitation (P = .04) were negatively associated with clinical remission. Conclusions and Clinical Importance Clinical remission in MG is less likely in older dogs and dogs presenting with regurgitation or high initial AChR Ab concentration, but more likely in younger dogs and dogs with comorbid endocrine disease.
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Affiliation(s)
- Jennifer T Forgash
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yu-Mei Chang
- Research Support Office, Royal Veterinary College, University of London, London, United Kingdom
| | - Neil S Mittelman
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott Petesch
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Leontine Benedicenti
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Evelyn Galban
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - James J Hammond
- Department of Neurology and Neurosurgery, Pieper Memorial Veterinary Center, Middletown, Connecticut, USA
| | - Eric N Glass
- Section of Neurology and Neurosurgery, Red Bank Veterinary Hospital, Tinton Falls, New Jersey, USA
| | - Jessica R Barker
- Department of Neurology and Neurosurgery, Bush Veterinary Neurology Service, Springfield, Virginia, USA
| | - G Diane Shelton
- Department of Pathology, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Jie Luo
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Oliver A Garden
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Claytor B, Li Y. Challenges in diagnosing coexisting ocular myasthenia gravis and thyroid eye disease. Muscle Nerve 2020; 63:631-639. [PMID: 33247453 DOI: 10.1002/mus.27118] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 11/03/2020] [Accepted: 11/08/2020] [Indexed: 11/11/2022]
Abstract
Ocular myasthenia gravis (OMG) and thyroid eye disease are two autoimmune conditions that have several overlapping clinical features, and these coexist with a small but not insignificant frequency. Segregating these diagnoses is typically straightforward, but, when the two diseases co-occur in the same individual, making a diagnosis of OMG can be very challenging. In this review we address what is known about the coexistence of OMG and thyroid eye disease and we highlight the clinical features that are suggestive of overlapping conditions. We also describe the major testing approaches used in the diagnosis of these two entities, with special emphasis on the potential shortcomings of individual tests in patients with overlapping disease. In patients with thyroid eye disease, securing a diagnosis of OMG may not be possible on the basis of a single positive test. A multimodal approach using clinical, serologic, imaging, and electrodiagnostic data, is typically required.
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Affiliation(s)
- Benjamin Claytor
- Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Yuebing Li
- Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Chou C, Huang M, Lan W, Kong S, Kuo C, Chou I. Prevalence and risk of thyroid diseases in myasthenia gravis. Acta Neurol Scand 2020; 142:239-247. [PMID: 32329050 DOI: 10.1111/ane.13254] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/17/2020] [Accepted: 04/20/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVES To estimate the prevalence of thyroid diseases and the cumulative risk of thyroid diseases during a follow-up period after myasthenia gravis (MG) diagnosis compared with non-MG controls. MATERIALS AND METHODS We used the Taiwan National Health Insurance Database linked to Registry of Catastrophic Illness database to identify patients with MG. The controls were composed of those who did not have MG and were matched with the MG patients by sex, age, and the index date. We recorded thyroid disease histories before and after the index date. RESULTS Our study included 5813 MG patients and 29 065 controls. The prevalence of thyroid diseases in the MG patients at diagnosis was 18.4%, which was nearly 3.9-fold greater than that in the control group. (Odds ratio [OR] 3.895, 95% Confidence interval [CI] 3.574-4.246) After excluding pre-existing thyroid diseases, the incidence of comorbid thyroid diseases was 8.7% in the MG patients and 4% in the control group. The MG patients had a 2.36-fold increased risk of developing thyroid diseases compared to the control group. (crude hazard ratio [HR] 2.360, 95% CI 2.095-2.659) The cumulative probabilities of developing thyroid diseases at 1, 5, and 10 years after the index date were 21.6%, 24.9%, and 28.7%, respectively, in the MG patients, while the cumulative probabilities were 6.5%, 8.8%, and 11.8%, respectively, in control group (log-rank test <0.0001). CONCLUSIONS The current population-based study showed a higher prevalence of pre-existing thyroid diseases and a higher cumulative probability of thyroid diseases during follow-up after MG diagnosis than in the general population.
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Affiliation(s)
- Cheng‐Che Chou
- Division of Paediatric Neurology Taipei Medical University Shuang Ho Hospital New Taipei City Taiwan
| | - Man‐Hsu Huang
- Division of Pathology Taipei Medical University Shuang Ho Hospital New Taipei City Taiwan
| | - Wen‐Ching Lan
- Division of Big Data Analytics and Statistics Chang Gung Memorial Hospital, Linko Branch Taoyuan Taiwan
| | - Shu‐Sing Kong
- Division of Paediatric Neurology Taipei Medical University Shuang Ho Hospital New Taipei City Taiwan
| | - Chang‐Fu Kuo
- Division of Rheumatology Chang Gung Memorial Hospital, Linko Branch Taoyuan Taiwan
| | - I‐Jun Chou
- Division of Paediatric Neurology Chang Gung Memorial Hospital and Chang Gung Children’s Hospital, Linko Branch Taoyuan Taiwan
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Ali Hossain M, Asa TA, Huq F, Quinn JMW, Moni MA. A Network-Based Approach to Identify Molecular Signatures and Comorbidities of Thyroid Cancer. PROCEEDINGS OF INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE 2020. [DOI: 10.1007/978-981-13-7564-4_21] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Song RH, Yao QM, Wang B, Li Q, Jia X, Zhang JA. Thyroid disorders in patients with myasthenia gravis: A systematic review and meta-analysis. Autoimmun Rev 2019; 18:102368. [DOI: 10.1016/j.autrev.2019.102368] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 04/24/2019] [Indexed: 01/23/2023]
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Abstract
PURPOSE OF REVIEW Myasthenia gravis is an autoimmune disease that commonly affects the palpebral and extraocular muscles. Ocular myasthenia gravis (OMG) is a variant of the disease that is confined to the ocular muscles but frequently becomes generalized over time. The diagnosis of OMG is often challenging but both clinical and laboratory findings are helpful in confirming the clinical suspicion. This review provides an update on the diagnostic approach and therapeutic options for OMG. RECENT FINDINGS Antimuscle-specific tyrosine kinase and LDL-related receptor-related protein 4 are newly available serologic testing for myasthenia gravis that can help in increasing the diagnostic sensitivity of OMG. They should be included to the diagnostic algorithm of OMG in appropriate clinical situations. SUMMARY OMG remains a primarily clinical diagnosis, but recent advances in laboratory testing can improve the diagnostic accuracy and should be used in appropriate clinical settings. The mainstay of treatment for OMG has not significantly changed over the past years, but the increasing availability of steroid-sparing agents improved the disease control while minimizing steroid-induced complications.
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Yang HC, Nguyen PAA, Islam M, Huang CW, Poly TN, Iqbal U, Li YCJ. Gout drugs use and risk of cancer: A case-control study. Joint Bone Spine 2018; 85:747-753. [DOI: 10.1016/j.jbspin.2018.01.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 01/11/2018] [Indexed: 02/08/2023]
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Tanovska N, Novotni G, Sazdova-Burneska S, Kuzmanovski I, Boshkovski B, Kondov G, Jovanovski-Srceva M, Kokareva A, Isjanovska R. Myasthenia Gravis and Associated Diseases. Open Access Maced J Med Sci 2018; 6:472-478. [PMID: 29610603 PMCID: PMC5874368 DOI: 10.3889/oamjms.2018.110] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 02/03/2018] [Accepted: 02/04/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND: Myasthenia gravis (MG) is an autoimmune disease caused by the action of specific antibodies to the postsynaptic membrane of the neuromuscular junction, leading to impaired neuromuscular transmission. Patients with MG have an increased incidence of other autoimmune diseases. AIM: to determine the presence of other associated diseases in patients with MG. METHOD: A group of 127 patients with MG followed in 10 years period, in which the presence of other associated diseases has been analysed. RESULTS: The sex ratio is in favour of the female sex, the average age of the initial manifestation of the disease is less than 50 years, 65.4% of the patients with MG have another disease. 15.0% patients have associated another autoimmune disease. Thyroid disease is the most common associated with MG, rarely rheumatoid arthritis (RA), systemic lupus erythematosus (SLE) and other autoimmune diseases. Other diseases include hypertension, heart disease, diabetes, respiratory diseases, dyslipidemia. 10.2% of the patients are diagnosed with extrathymic tumours of various origins. CONCLUSION: Associated diseases are common in patients with MG, drawing attention to the possible common basis for their coexistence, as well as their impact on the intensity and treatment of the disease.
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Affiliation(s)
- Nikolina Tanovska
- University Clinic for Neurology, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Gabriela Novotni
- University Clinic for Neurology, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Slobodanka Sazdova-Burneska
- University Clinic for Neurology, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Igor Kuzmanovski
- University Clinic for Neurology, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Bojan Boshkovski
- University Clinic for Neurology, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Goran Kondov
- University Clinic for Thoracic and Vascular Surgery, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Marija Jovanovski-Srceva
- University Clinic for Anesthesia and Reanimation, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Anita Kokareva
- University Clinic for Anesthesia and Reanimation, Clinical Centre "Mother Theresa", Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Rozalinda Isjanovska
- Institute for Epidemiology, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
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