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Wang L, Lv C, You H, Xu L, Yuan F, Li J, Wu M, Zhou S, Da Z, Qian J, Wei H, Yan W, Zhou L, Wang Y, Yin S, Zhou D, Wu J, Lu Y, Su D, Liu Z, Liu L, Ma L, Xu X, Zang Y, Liu H, Ren T, Liu J, Wang F, Zhang M, Tan W. Rapidly progressive interstitial lung disease risk prediction in anti-MDA5 positive dermatomyositis: the CROSS model. Front Immunol 2024; 15:1286973. [PMID: 38361940 PMCID: PMC10867574 DOI: 10.3389/fimmu.2024.1286973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/19/2024] [Indexed: 02/17/2024] Open
Abstract
Background The prognosis of anti-melanoma differentiation-associated gene 5 positive dermatomyositis (anti-MDA5+DM) is poor and heterogeneous. Rapidly progressive interstitial lung disease (RP-ILD) is these patients' leading cause of death. We sought to develop prediction models for RP-ILD risk in anti-MDA5+DM patients. Methods Patients with anti-MDA5+DM were enrolled in two cohorts: 170 patients from the southern region of Jiangsu province (discovery cohort) and 85 patients from the northern region of Jiangsu province (validation cohort). Cox proportional hazards models were used to identify risk factors of RP-ILD. RP-ILD risk prediction models were developed and validated by testing every independent prognostic risk factor derived from the Cox model. Results There are no significant differences in baseline clinical parameters and prognosis between discovery and validation cohorts. Among all 255 anti-MDA5+DM patients, with a median follow-up of 12 months, the incidence of RP-ILD was 36.86%. Using the discovery cohort, four variables were included in the final risk prediction model for RP-ILD: C-reactive protein (CRP) levels, anti-Ro52 antibody positivity, short disease duration, and male sex. A point scoring system was used to classify anti-MDA5+DM patients into moderate, high, and very high risk of RP-ILD. After one-year follow-up, the incidence of RP-ILD in the very high risk group was 71.3% and 85.71%, significantly higher than those in the high-risk group (35.19%, 41.69%) and moderate-risk group (9.54%, 6.67%) in both cohorts. Conclusions The CROSS model is an easy-to-use prediction classification system for RP-ILD risk in anti-MDA5+DM patients. It has great application prospect in disease management.
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Affiliation(s)
- Lei Wang
- Division of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chengyin Lv
- Division of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hanxiao You
- Division of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lingxiao Xu
- Division of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fenghong Yuan
- Division of Rheumatology, Wuxi People’s Hospital, Wuxi, Jiangsu, China
| | - Ju Li
- Division of Rheumatology, Huai’an First People’s Hospital, Huai’an, Jiangsu, China
| | - Min Wu
- Division of Rheumatology, The First People’s Hospital of Changzhou, Changzhou, Jiangsu, China
| | - Shiliang Zhou
- Division of Rheumatology, The First People’s Hospital of Changzhou, Changzhou, Jiangsu, China
| | - Zhanyun Da
- Division of Rheumatology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Jie Qian
- Division of Rheumatology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Hua Wei
- Division of Rheumatology, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, China
| | - Wei Yan
- Division of Rheumatology, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, China
| | - Lei Zhou
- Division of Rheumatology, Changzhou No.2 People’s Hospital, Changzhou, Jiangsu, China
| | - Yan Wang
- Division of Rheumatology, Changzhou No.2 People’s Hospital, Changzhou, Jiangsu, China
| | - Songlou Yin
- Division of Rheumatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Dongmei Zhou
- Division of Rheumatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jian Wu
- Division of Rheumatology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yan Lu
- Division of Rheumatology, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, China
| | - Dinglei Su
- Division of Rheumatology, Nanjing First Hospital, Nanjing, Jiangsu, China
| | - Zhichun Liu
- Division of Rheumatology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Lin Liu
- Division of Rheumatology, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
| | - Longxin Ma
- Division of Rheumatology, Yancheng No.1 People’s Hospital, Yancheng, Jiangsu, China
| | - Xiaoyan Xu
- Division of Rheumatology, Zhongda Hospital Southeast University, Nanjing, Jiangsu, China
| | - Yinshan Zang
- Division of Rheumatology, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, Jiangsu, China
| | - Huijie Liu
- Division of Rheumatology, The First People’s Hospital of Lianyungang, Lianyungang, Jiangsu, China
| | - Tianli Ren
- Division of Rheumatology, Wuxi No.2 People’s Hospital, Wuxi, Jiangsu, China
| | - Jin Liu
- Research Institute of Clinical Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fang Wang
- Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Miaojia Zhang
- Division of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wenfeng Tan
- Division of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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Chen L, Weng M, Huang F, Zhang W. Long-Lasting and Easy-to-Use Rewritable Paper Fabricated by Printing Technology. ACS Appl Mater Interfaces 2018; 10:40149-40155. [PMID: 30406982 DOI: 10.1021/acsami.8b14625] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Nowadays, urged by the high demand to reduce paper consumption, rewritable paper receives more and more attention. However, it is a great challenge to conveniently fabricate the rewritable paper which has long legible time of information and is easy to use simultaneously. Here, we report a new type of long-lasting rewritable paper based on color-memorizing thermochromic dye and photothermal-converting toner, which is fabricated by a two-step printing process. The rewritable paper demonstrates excellent rewriting performances (legible time > 6 months and reversibility > 100 times). The thermochromic effect is based on a temperature-driven phase change mechanism, accompanied by a lactone ring tautomerism of crystal violet lactone. The color of the rewritable paper rapidly changes from blue to colorlessness when the temperature is higher than 65 °C, and the colorless state can be maintained at room temperature. The color returns to blue when the temperature is lower than -10 °C. By using an electrothermal pen, a thermal printer, and near infrared (NIR) light, characters and images with high resolution can be handwritten, thermal-printed, and photoprinted on the rewritable paper. The written/printed information can be cleaned under lower temperature or can be quickly erased by NIR light. This rewritable paper is easy for large-scale production and will have promising opportunities in practical applications, such as long-lasting information recording and reading, rewritable label, reprintable displays, and so on.
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Affiliation(s)
- Luzhuo Chen
- Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials, College of Physics and Energy , Fujian Normal University , Fuzhou 350117 , China
- Fujian Provincial Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices , Xiamen 361005 , China
- Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage , Fuzhou 350117 , China
| | - Mingcen Weng
- Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials, College of Physics and Energy , Fujian Normal University , Fuzhou 350117 , China
- Fujian Provincial Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices , Xiamen 361005 , China
- Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage , Fuzhou 350117 , China
| | - Feng Huang
- Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials, College of Physics and Energy , Fujian Normal University , Fuzhou 350117 , China
- Fujian Provincial Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices , Xiamen 361005 , China
- Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage , Fuzhou 350117 , China
| | - Wei Zhang
- Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials, College of Physics and Energy , Fujian Normal University , Fuzhou 350117 , China
- Fujian Provincial Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices , Xiamen 361005 , China
- Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage , Fuzhou 350117 , China
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Jansen R, Hart EA, Peters M, Urgel K, Kluin J, Tietge WJ, Zwart K, Sybrandy KC, Cramer MJM, Chamuleau SAJ. An easy-to-use scoring index to determine severity of mitral regurgitation by 2D echocardiography in clinical practice. Echocardiography 2017; 34:1275-1283. [PMID: 28833463 DOI: 10.1111/echo.13636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
PURPOSE Mitral regurgitation (MR) grading by two-dimensional transthoracic echocardiography is challenging, but important to determine the best treatment strategy in patients with MR. Current guidelines advocate an integrative approach, although no recommendation is provided on how to do so. An easy-to-use index will be helpful for standardized and reproducible MR grading. METHODS Eleven echocardiographic parameters were retrospectively evaluated in 145 patients with moderate or severe MR. Parameters were scored positive or negative for severe MR, where expert panel consensus reading was considered as the reference standard. Logistic regression was performed, and adjusted coefficients were used to create a risk score for severe MR per patient (ROSE-index). The best cutoff with corresponding predictive values was determined. RESULTS Eighty-two percent of all parameters could be determined. Multivariable analysis revealed five parameters that remained significant predictors for severe MR: morphology, jet characteristics, vena contracta, systolic reversal, and left ventricular dimensions. With different weighing, a total score of 8 could be obtained. Median total ROSE-index score for moderate (2.0) and severe MR (5.0) did significantly differ. The cutoff score (≥4) revealed sensitivity 0.84 and specificity 0.83 to diagnose severe MR. Negative predictive value was 100% for score 0 and 1; score 6-8 showed a 100% positive predictive value. Inter- and intra-observer agreements were excellent (K-values >0.80). CONCLUSION Here, we propose an easy-to-use tool for integrated analysis of guideline parameters to assess MR severity. Using this so-called ROSE-index revealed reliable and reproducible assessment of severe MR (cutoff≥4) that may be helpful for clinical decision making.
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Affiliation(s)
- Rosemarijn Jansen
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Einar A Hart
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Max Peters
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kim Urgel
- Department of Cardiology, Amphia Hospital Breda, Breda, The Netherlands
| | - Jolanda Kluin
- Department of Cardiothoracic Surgery, Academic Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Wouter J Tietge
- Department of Cardiology, Diaconessenhuis Hospital Leiden, Leiden, The Netherlands
| | - Koen Zwart
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kirsten C Sybrandy
- Department of Cardiology, St. Jansdal Hospital Harderwijk, Harderwijk, The Netherlands
| | - Maarten J M Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Steven A J Chamuleau
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
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Pilv L, Vermeire E, Rätsep A, Moreau A, Nikolić D, Petek D, Yaman H, Oona M, Kalda R. Development and validation of the short version of the diabetes obstacles questionnaire (DOQ-30) in six European countries. Eur J Gen Pract 2015; 22:16-22. [PMID: 26578192 DOI: 10.3109/13814788.2015.1093619] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Patients with type 2 diabetes reveal different obstacles in living with the disease. The EGPRN initiated a qualitative research EUROBSTACLE to create a broadly conceptualized diabetes-related quality of life (DR-QoL) instrument. It led to the development of the diabetes obstacle questionnaire (DOQ), a five-point Likert-scaled measure, consisting of 78 items in eight scales. OBJECTIVES To develop and validate a short, easy-to-use version of the DOQ. METHODS A cross-sectional study with the DOQ was carried out. Participants answered the DOQ and GPs added some clinical data from their medical records. Data of 853 patients from Belgium, France, Estonia, Serbia, Slovenia, and Turkey were included in the analysis. The selection of items for the short version of the DOQ was achieved with exploratory factor analysis (EFA). Construct validity was proved with EFA and Pearson correlations between the DOQ and the new DOQ-30. Internal reliability was established with Cronbach's alpha. RESULTS DOQ-30 resulted in 30 items in nine subscales. It explained 49.8% of items' variance. It shows a considerable good internal reliability and construct validity. CONCLUSION The DOQ-30 is a five-point Likert-scaled broadly conceptualized measure of DR-QoL. It addresses a variety of obstacles, such as social, psychological, cognitive and behavioural. The DOQ-30 is ready for implementation in general practice and research in Europe as a valuable instrument to assess DR-QoL.
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Affiliation(s)
- Liina Pilv
- a Department of Family Medicine , University of Tartu , Tartu , Estonia
| | - Etienne Vermeire
- b Department of General Practice of Nursing and Midwifery , University of Antwerp , Antwerp , Belgium
| | - Anneli Rätsep
- a Department of Family Medicine , University of Tartu , Tartu , Estonia
| | - Alain Moreau
- c Department of General Practice , University Claude Bernard Lyon 1 , Lyon , France
| | - Dragica Nikolić
- d Primary Health Care Centre 'Dr Milutin Ivković' , Belgrade , Serbia
| | - Davorina Petek
- e Department of Family Medicine , University of Ljubljana , Ljubljana , Slovenia
| | - Hakan Yaman
- f Department of Family Medicine , Akdeniz University , Antalya , Turkey
| | - Marje Oona
- a Department of Family Medicine , University of Tartu , Tartu , Estonia
| | - Ruth Kalda
- a Department of Family Medicine , University of Tartu , Tartu , Estonia
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Segawa T, Kobayashi Y, Sase Y, Itou T, Suzuki M, Endoh T, Nakanishi T, Sakai T. Easy-to-use rapid gene amplification method for direct detection of RNA and DNA viruses in sera and feces from various animals. J Virol Methods 2014; 201:31-7. [PMID: 24560780 DOI: 10.1016/j.jviromet.2014.01.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 01/21/2014] [Accepted: 01/24/2014] [Indexed: 10/25/2022]
Abstract
The development of rapid and simple gene amplification tests is required for detection of pathogens to prevent transmission of infectious diseases between animals or from animals to humans. An easy-to-use rapid gene amplification method that can directly detect RNA and DNA viruses in clinical samples was developed. This method is based on combining loop-mediated isothermal amplification (LAMP) or reverse transcription-LAMP (RT-LAMP) and RNA GEM Tissue, a thermophilic enzyme that extracts nucleic acid by quickly digesting proteins and ribonucleases. The authors named these methods GEM LAMP and GEM RT-LAMP. These methods were able to detect viral DNA and RNA within 70 min in a single tube using only a water bath. The detection capacities were 10-100-fold more sensitive than those of previously established LAMP and RT-LAMP methods. The GEM LAMP and GEM RT-LAMP methods were used to detect macroscopically the presence of DNA and RNA viruses in sera or fecal samples from cattle, pigs, horses, dolphins, penguins, and sea lions using SYBR green I. The GEM LAMP and GEM RT-LAMP methods thus have considerable versatility as tools for detecting pathogens and are applicable to basic human and veterinary medicine, environmental hygiene, and point-of-care-testing.
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Affiliation(s)
- Takao Segawa
- Nihon University Veterinary Research Center, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan
| | - Yuki Kobayashi
- Nihon University Veterinary Research Center, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan
| | - Yukina Sase
- Nihon University Veterinary Research Center, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan
| | - Takuya Itou
- Nihon University Veterinary Research Center, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan.
| | - Miwa Suzuki
- Department of Marine Science and Resources, College of Bioresource Sciences, Nihon University, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan
| | - Tomoko Endoh
- Shinagawa Aquarium, 3-2-1 Katsushima, Shinagawa-ku, Tokyo 140-0012, Japan
| | - Teruyuki Nakanishi
- Nihon University Veterinary Research Center, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan
| | - Takeo Sakai
- Nihon University Veterinary Research Center, 1866 Kameino, Fujisawa, Kanagawa 252-0880, Japan
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