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5. Introduction

Author

Devy, G. N., primary, Davis, Geoffrey V., additional, and Chakravarty, K. K., additional

Published
2020
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8. Diurnal Variation of Rain Drop Size Distribution over the Western Ghats of India.

Author

Kumar, Amit, Srivastava, A. K., Chakravarty, K., and Srivastava, Manoj K.

Subjects
DIURNAL variations of rainfall, ALTITUDES, GEOSPATIAL data, METEOROLOGICAL precipitation
Abstract

Joss-Waldvogel Disdrometer (JWD) measurements at the High-Altitude Cloud Physics Laboratory (HACPL: 17.56°N, 73.4°E, above 1373 m MSL), Mahabaleshwar were investigated for determining the diurnality of the drop size distribution (DSD) associated with the precipitation characteristics over the Western Ghats of India. The JWD data for the period from 2015 to 2019 were collected and examined during the Indian Summer Monsoon (ISM) season. The number concentration of rain droplets of various diameters is considerably varying with the rain rate (R) and type of precipitating cloud. With increasing the value of R, rain droplets having larger diameter concentration significantly increases, and the distribution tail moves towards the biggest droplets. The average value of reflectivity (Z), R, liquid water content (LWC), mass-weighted mean diameter (Dm), and normalized intercept parameter (log10Nw) was found to be higher for the heavy rainfall (Rhigh =10 mm h-1) as compared to the low rainfall (Rlow < 10 mm h-1) during the entire study period. The gamma distribution of DSD shows significant differences during the low and heavy precipitation on different time periods (e.g., 00-06, 06-12, 12-18, 18-23 LST). The number of rain events contributing to the total accumulated rain varies with time. The maximum number of rain events occurred during 12-18 LST, with 23.6 % rain events of low rainfall and 4.9% of heavy rainfall. The bimodality is observed in the diurnal variation of Dm, R, and Z, with the largest peak recorded in the late afternoon hour (13-16 LST) and the second crest in the early morning hour (05 LST). At the same time, the log10Nw value drops down, indicating the lowest concentration of rain droplets. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Reflectivity-rain rate relationship for the orographic rainfall over the Western Ghats

Author

Kumar, A., Srivastava, A., Chakravarty, K., and Srivastava, M.

Abstract

Joss-Waldvogel Disdrometer (JWD) measurement between 2015 and 2019 at the High-Altitude Cloud Physics Laboratory, Mahabaleshwar, is performed for determining the seasonal characteristics of the drop size distributions and the power law (Z= aRb) relationship between the reflectivity (Z) and rain rate (R). It is observed that the number concentrations of rain droplets of various diameters fluctuate with the cloud type, rain rate, and season. In the monsoon, smaller (< 1 mm in diameter) rain droplets concentration is maximum, while the middle (1-3 mm) and bigger (>3 mm) droplets concentration is high during the pre-monsoon season. The number concentration of bigger (smaller) rain droplets is increasing (decreasing) with the intensity of the rain. It is also observed that convective precipitation contains a higher concentration of bigger rain droplets than stratiform precipitation. The probability density distribution of the rain-integral parameters indicates that the contribution of different microphysical processes like collision-coalescence, break-up, size sorting and evaporation processes is varying with the cloud type (convective and stratiform) and season. Due to these variations in DSD characteristics, the exponential relationship between Z and R is unique for the convective and stratiform precipitation during the monsoon and pre-monsoon seasons. The derived Z-R relationship's numerical coefficient is larger for the stratiform precipitation than the convective precipitation in each season, aggregable to the previous study for the monsoon season. The distinct Z-R relationship for convective and stratiform precipitation is mainly due to the difference in the contribution of the various microphysical processes in rainy cloud formation., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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14. Association between age at disease onset of anti-neutrophil cytoplasmic antibody-associated vasculitis and clinical presentation and short-term outcomes

Author

Monti, S., Craven, A., Klersy, C., Montecucco, C., Caporali, R., Watts, R., Merkel, P. A., Luqmani, R., Achilleos, K., Adler, M., Alba, M. A., Albert, D. A., Alibaz-Oner, F., Allcoat, P., Amano, K., Amarasuriya, M., Amudala, N. A., Andrews, J., Archer, A. M., Arimura, Y., Atukorala, I., Azevedo, E., Bajad, S., Baldwin, C., Barra, L. J., Baslund, B., Basu, N., Baykal, M., Berger, C., Berglin, E., Besada, E., Bhardwaj, M., Bischof, A., Blockmans, D., Blood, J., Draibe, J. B., Brand, S., Brandao, M., Bruce, I. N., Butler, A., Calabrese, L. H., Ferrer, D. C., Carette, S., Carmona, D., Ceunen, H., Chakravarty, K., Chapman, P. T., Chocova, Z., Chung, S. A., Ci, W., Cid, M. C., Clark, T. M., Clarkson, M. R., De Jesus Contreras-Rodriguez, F., Conway, R., Cooke, K., Viros, X. C., Cordeiro, A., Costa, A., Culfear, K., Daikeler, T., Danda, D., Das, S. K., Dasgupta, B., De Castro, A. M., Dehghan, N., Devassy, R., Dhindsa, N., Diamantopoulos, A. P., Direskeneli, H., Dobashi, H., Juan, D., Durrani, M., Edelsten, C., Eifert, J., Elhayek, S., Elsideeg, S., Endo, T., Erden, A., Erer, B., Eriksson, P., Erturk, Z., Espigol-Frigole, G., Felicetti, M., Ferraro, A., Ferro, J. M., Fifi-Mah, A., Flores-Suarez, L. F., Flossmann, O., Flynn, D., Fonseca, J. E., Foot, J., Foote, M., Forbess, L., Fujimoto, S., Fukuoka, K., Furtado, C., Furuta, S., Gaffo, A. L., Gallagher, P., Gao, N., Gatenby, P., Gendi, N., Geraldes, R., Gerits, A., Gioffredi, A., Gomples, L., Goncalves, M. J., Gondo, P., Graham, A., Grainger, R., Gray, D. T., Grayson, P. C., Griffiths, L., Guo, Y., Gupta, R., Gylling, M., Hajj-Ali, R. A., Hammam, N., Harigai, M., Hartley, L., Haslett, J., Hassan, A., Hatemi, G., Hellmich, B., Henckaerts, L., Henes, J. C., Hepburn, J., Herd, V., Hess, C., Hill, C., Hinojosa-Azaola, A., Hirahashi, J., Hirano, F., Hocevar, A., Holle, J., Hollinger, N., Homma, S., Howard, T., Hoyles, R. K., Hruskova, Z., Hutcheon, G., Ignacak, M., Igney-Oertel, A., Ikeda, K., Ikegaya, N., Jagadeesh, S., Jaquith, J., Jayne, D. R. W., Jewell, T., Jones, C., Joshi, A., Kalyoncu, U., Kamall, S., Kamath, S., Lai, K. S., Kaname, S., Kanchinadham, S., Karadag, O., Karube, M., Kaszuba, M., Kaur, R., Kawakami, T., Kawashima, S., Khalidi, N., Khan, A., Kikuchi, M., Kilic, L., Kimura, M., King, M. J., Klapa, S., Klocke, R., Kobayashi, T., Kobayashi, S., Komagata, Y., Kronbichler, A., Kuczia, P., Kumar, M. S., Kurosawa, M., Lamprecht, P., Langford, C. A., Lanyon, P., Laversuch, C., Lee, S. J., Leoni, S., Li, J., Liang, K., Liang, P., Liao, H., Lee, L. A., Luqmani, R. A., Lyle, A., Macdonald, M., Mackie, S. L., Madden, L., Magliano, M., Makino, H., Makol, A., Malaiya, R., Malaviya, A., Manthri, R., Maritati, F., Da Silva, A. M., Mason, J. C., Matara, C., Matsui, K., Matteson, E. L., Mcbride, D., Mccullough, K., Mcgeoch, L., Mclaren, J., Mcmillian, C., Mendiratta, N., Menon, A., Merinopoulos, D., Merkel, P., Messier, S., Micheletti, R. G., Mills, K., Milman, N., Minoda, M., Minz, R. W., Mock, C., Mohammad, A. J., Moiseev, S., Moitinho, M., Molloy, E., Monach, P. A., Montgomery, M., Moosig, F., Moradizadeh, M., Morgan, M., Morgan, A. W., Morgan, A. -M., Muir, A., Mukhtyar, C., Muller, A., Muratore, F., Muso, E., Nada, R., Nakajima, H., Nakajima, T., Nakano, H., Nandagudi, A., Neumann, T., Y. F., Ng, K. H., Ng, Nogueira, E. L., Nolkha, N., Nordstrom, D., Novikov, P., Nugaliyadde, A., O'Donnell, J. L., O'Donoghue, J., O'Neill, L., O'Riordan, E., Oatley, M., Okubo, K., Oliva, E., Oshikawa, H., Ota, Y., Padoan, R., Pagnoux, C., Pan, L., Panaritis, K., Park, J. K., Patel, S., Patil, P., Pazzola, G., Peall, A., Pearce, F., Pehlevan, S., Pereira, L., Pettersson, T., Pineau, C. A., Pirila, L., Poglodek, B., Ponte, C., Prieto-Gonzalez, S., Priya, S. R., Purewal, B., Purschke, S., Putaala, J., Quickert, S., Quincey, V., Raghuvanshi, S., Rajasekhar, L., Ranganathan, D., Rathi, M., Rees, D., Rees, F., Renken, U., Restuccia, G., Rhee, R. L., Rice, B., Robins, D., Robson, J., Rodrigues, M., Romao, V. C., Rotar, C., Ruediger, C., Rutgers, A., A. C., Sa, Saavedra, M. J., Sada, K. -E., Sahbudin, I., Salvarani, C., Sandhu, N., Santos, E., Sato, Y., Schafer, V. S., Schiavon, F., Schmidt, W. A., Segelmark, M., Shahin, A., Sharma, A., Shotton, J., Silva, C., Singer, O. G., Sivasuthan, G., Smolen, S., Solanich-Moreno, X., Boixader, L. S., Song, Y. W., Springer, J., Sreih, A. G., Srivastava, R., Stamp, L. K., Stevens, R., Strbian, D., Sugino, K., Sunderkotter, C., Suppiah, R., Suzuki, K., Szekanecz, Z., Sznajd, J., Taimen, K., Tak, P. P., Takeuchi, T., Takizawa, N., Tames, L., Tan, B. E., Tanaka, M., Tang, M. W., Tatlisumak, T., Tesar, V., Thomas, A., Tian, X., Tokunaga, K., Tombetti, E., Tomsic, M., Toz, B., Tsukamoto, T., Uchida, S., Unal, A. U., Urban, M. L., Usui, J., Vaglio, A., Venkatachalam, S., Vermaak, E., Viswanath, V., Wada, T., Wagh, S., Wallace, D. J., Walters, G., Walz, B., Wan, J., Wang, T., Wang, G., Warrington, K. J., Watts, R. A., Wawrzycka-Adamczyk, K., Weeratunga, P., Weisman, M. H., Wickramasinghe, S., Williams, M., Wojcik, K., Woodruff, L., Xenitidis, T., Yamada, H., Yamagata, K., Yee, C. -S., Yoon, M., Yoshida, K., Yoshifuji, H., Ytterberg, S. R., Yumura, W., Zayed, H., Zeng, X., Zhao, M. -H., Zugaj, A., Zuk, J., İç Hastalıkları, Clinical Haematology, and Translational Immunology Groningen (TRIGR)

Subjects
Male, Outcome, Antineutrophil Cytoplasmic, 030232 urology & nephrology, 0302 clinical medicine, Risk Factors, 80 and over, Pharmacology (medical), Age of Onset, Young adult, Aged, 80 and over, education.field_of_study, age, anti-neutrophil cytoplasmic antibody-associated vasculitis, outcome, Adolescent, Adult, Aged, Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis, Antibodies, Antineutrophil Cytoplasmic, Female, Humans, Middle Aged, Morbidity, Prognosis, Retrospective Studies, Risk Assessment, Survival Rate, United Kingdom, Young Adult, Vasculitis, Systemic vasculitis, medicine.medical_specialty, Population, anti-neutrophil cytoplasmic antibody–associated vasculitis, Antibodies, 03 medical and health sciences, Rheumatology, Internal medicine, medicine, education, Anti-neutrophil cytoplasmic antibody–associated vasculitis, Survival rate, Anti-neutrophil cytoplasmic antibody, 030203 arthritis & rheumatology, business.industry, Retrospective cohort study, medicine.disease, Age of onset, business
Abstract

Objectives ANCA-associated vasculitis (AAV) can affect all age groups. We aimed to show that differences in disease presentation and 6 month outcome between younger- and older-onset patients are still incompletely understood. Methods We included patients enrolled in the Diagnostic and Classification Criteria for Primary Systemic Vasculitis (DCVAS) study between October 2010 and January 2017 with a diagnosis of AAV. We divided the population according to age at diagnosis: Results A total of 1338 patients with AAV were included: 66% had disease onset at Conclusion Within 6 months of diagnosis of AAV, patients >65 years of age display a different pattern of organ involvement and an increased risk of significant damage and mortality compared with younger patients.

Published
2021
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15. Long-term Relapse-free Rurvival Rate and Predictive Factors of Idiopathic Thrombocytopenic Purpura in Adults Undergoing Splenectomy

Author

Erh-Hao Liu, Chakravarty K Dilip, Ta-Sen Yeh, Jin-Hou Wu, Yi-Yin Jan, and Miin-Fu Chen

Subjects
idiopathic thrombocytopenic purpura, long-term relapse-free rate, platelet count, splenectomy, Medicine (General), R5-920, Biology (General), QH301-705.5
Abstract

Background: Our aim is to identify the long-term relapse-free rate and predictive factors of response to splenectomy in adults with idiopathic thrombocytopenic purpura (ITP). Methods: Between 1999 and 2005, 54 patients of ITP, who underwent splenectomy in Chang Gung Memorial Hospital, Linkou, Taiwan were retrospectively reviewed. Various pre, intra and postoperative factors were analyzed to determine the predictive factors of response and long-term disease-free rate after splenectomy in adult patients. Results: The relapse free survival rates in complete response patients of splenectomy at 1-, 3- and 5-yr are 91.9%, 88.4%, and 88.4%, respectively. Younger age, response to steroids, pre- and postsplenectomy high platelet counts were found to be have significant p value of < 0.05 as predictive factors in univariate analysis. In multivariate analysis, only pre-op and post-op platelet counts were significant. Conclusions: Significant long-term relapse-free survival rate is achieved by splenectomy in adults with ITP. In univariate analysis, age, response to steroids, pre- and postsplenectomy platelet counts were the significant predictive factors of response. But in multivariate analysis, only pre-op and post-op platelet counts were significant.

Published
2013
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16. 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology Classification Criteria for Eosinophilic Granulomatosis With Polyangiitis

Author

Grayson, P. C., Ponte, C., Suppiah, R., Robson, J. C., Craven, A., Judge, A., Khalid, S., Hutchings, A., Luqmani, R. A., Watts, R. A., Merkel, P. A., Gatenby, P., Hill, C., Ranganathan, D., Kronbichler, A., Blockmans, D., Barra, L., Carette, S., Pagnoux, C., Dhindsa, N., Fifi-Mah, A., Khalidi, N., Liang, P., Milman, N., Pineau, C., Tian, X., Wang, G., Wang, T., Zhao, M. -H., Tesar, V., Baslund, B., Hammam, N., Shahin, A., Pirila, L., Putaala, J., Hellmich, B., Henes, J., Lamprecht, P., Neumann, T., Schmidt, W., Sunderkoetter, C., Szekanecz, Z., Danda, D., Das, S., Gupta, R., Rajasekhar, L., Sharma, A., Wagh, S., Clarkson, M., Molloy, E., Salvarani, C., Schiavon, F., Tombetti, E., Vaglio, A., Amano, K., Arimura, Y., Dobashi, H., Fujimoto, S., Harigai, M., Hirano, F., Hirahashi, J., Honma, S., Kawakami, T., Kobayashi, S., Kono, H., Makino, H., Matsui, K., Muso, E., Suzuki, K., Ikeda, K., Takeuchi, T., Tsukamoto, T., Uchida, S., Wada, T., Yamada, H., Yamagata, K., Yumura, W., Lai, K. S., Flores-Suarez, L. F., Hinojosa, A., Rutgers, B., Tak, P. -P., Grainger, R., Quincey, V., Stamp, L., Besada, E., Diamantopoulos, A., Sznajd, J., Azevedo, E., Geraldes, R., Rodrigues, M., Santos, E., Song, Y. -W., Moiseev, S., Hocevar, A., Cid, M. C., Moreno, X. S., Atukorala, I., Berglin, E., Mohammed, A., Segelmark, M., Daikeler, T., Direskeneli, H., Hatemi, G., Kamali, S., Karadag, O., Pehlevan, S., Adler, M., Basu, N., Bruce, I., Chakravarty, K., Dasgupta, B., Flossmann, O., Gendi, N., Hassan, A., Hoyles, R., Jayne, D., Jones, C., Klocke, R., Lanyon, P., Laversuch, C., Luqmani, R., Robson, J., Magliano, M., Mason, J., Maw, W. W., Mcinnes, I., Mclaren, J., Morgan, M., Morgan, A., Mukhtyar, C., O'Riordan, E., Patel, S., Peall, A., Venkatachalam, S., Vermaak, E., Menon, A., Watts, R., Yee, C. -S., Albert, D., Calabrese, L., Chung, S., Forbess, L., Gaffo, A., Gewurz-Singer, O., Grayson, P., Liang, K., Matteson, E., Springer, J., Sreih, A., and Translational Immunology Groningen (TRIGR)

Subjects
Adult, Male, Vasculitis, Myeloblastin, Immunology, Churg-Strauss Syndrome, Sensitivity and Specificity, General Biochemistry, Genetics and Molecular Biology, Antibodies, Antineutrophil Cytoplasmic, Diagnosis, Differential, Rheumatology, Risk Factors, Humans, Immunology and Allergy, anti-neutrophil cytoplasm antibody, Prospective Studies, Aged, Granulomatosis with Polyangiitis, Reproducibility of Results, Middle Aged, United States, Female, eosinophilic granulomatosis with polyangiitis, Eosinophilic Granuloma, Europe, classification, Societies
Abstract

ObjectiveTo develop and validate revised classification criteria for eosinophilic granulomatosis with polyangiitis (EGPA).MethodsPatients with vasculitis or comparator diseases were recruited into an international cohort. The study proceeded in five phases: (1) identification of candidate criteria items using consensus methodology, (2) prospective collection of candidate items present at the time of diagnosis, (3) data-driven reduction of the number of candidate items, (4) expert panel review of cases to define the reference diagnosis and (5) derivation of a points-based risk score for disease classification in a development set using least absolute shrinkage and selection operator logistic regression, with subsequent validation of performance characteristics in an independent set of cases and comparators.ResultsThe development set for EGPA consisted of 107 cases of EGPA and 450 comparators. The validation set consisted of an additional 119 cases of EGPA and 437 comparators. From 91 candidate items, regression analysis identified 11 items for EPGA, 7 of which were retained. The final criteria and their weights were as follows: maximum eosinophil count ≥1×109/L (+5), obstructive airway disease (+3), nasal polyps (+3), cytoplasmic antineutrophil cytoplasmic antibody (ANCA) or anti-proteinase 3–ANCA positivity (−3), extravascular eosinophilic predominant inflammation (+2), mononeuritis multiplex/motor neuropathy not due to radiculopathy (+1) and haematuria (−1). After excluding mimics of vasculitis, a patient with a diagnosis of small- or medium-vessel vasculitis could be classified as having EGPA if the cumulative score was ≥6 points. When these criteria were tested in the validation data set, the sensitivity was 85% (95% CI 77% to 91%) and the specificity was 99% (95% CI 98% to 100%).ConclusionThe 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology Classification Criteria for Eosinophilic Granulomatosis with Polyangiitis demonstrate strong performance characteristics and are validated for use in research.

Published
2022
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17. Efficacy and Safety of Epratuzumab in Moderately to Severely Active Systemic Lupus Erythematosus: Results From Two Phase III Randomized, Double‐Blind, Placebo‐Controlled Trials

Author

Clowse, Megan E. B., Wallace, Daniel J., Furie, Richard A., Petri, Michelle A., Pike, Marilyn C., Leszczyński, Piotr, Neuwelt, C. Michael, Hobbs, Kathryn, Keiserman, Mauro, Duca, Liliana, Kalunian, Kenneth C., Galateanu, Catrinel, Bongardt, Sabine, Stach, Christian, Beaudot, Carolyn, Kilgallen, Brian, Gordon, Caroline, Batalov, A., Bojinca, M., Djerassi, R., Duca, L., Horak, P., Kolarov, Z., Milasiene, R., Monova, D., Otsa, K., Pileckyte, M., Popova, T., Radulescu, F., Rashkov, R., Rednic, S., Repin, M., Stoilov, R., Tegzova, D., Vezikova, N., Vitek, P., Zainea, C., East, Far, Baek, H., Chen, Y., Chiu, Y., Cho, C., Chou, C., Choe, J., Huang, C., Kang, Y., Kang, S., Lai, N., Lee, S., Park, W., Shim, S., Suh, C., Yoo, W., Armengol, H. Avila, Zapata, F. Avila, Santiago, M. Barreto, Cavalcanti, F., Chahade, W., Costallat, L., Keiserman, M., Alcala, J. Orozco, Remus, C. Ramos, Roimicher, L., AbuShakra, M., Agarwal, V., AgmonLevin, N., Kadel, J., Levy, Y., Mevorach, D., Paran, D., Reitblat, T., Rosner, I., Shobha, V., Sthoeger, Z., Zisman, D., Ayesu, K., Berney, S., Box, J., Busch, H., Buyon, J., Carter, J., Chi, J., Clowse, M., Collins, R., Dao, K., Diab, I., Dikranian, A., ElShahawy, M., Gaylis, N., Grossman, J., Halpert, E., Huff, J., Jarjour, W., Kao, A., Katz, R., Kennedy, A., Khan, M., Kivitz, A., Kohen, M., LawrenceFord, T., Lawson, J., Levesque, M., Lowenstein, M., Majjhoo, A., Mcarthur, R., McLain, D., Merrill, J., Murillo, A., Neucks, S., Niemer, G., Noaiseh, G., Parker, C., Pantojas, C., Pattanaik, D., Petri, M., Pickrell, P., Reveille, J., RomanMiranda, A., Rothfield, N., Sankoorikal, A., Sayers, M., Singhal, A., Snyder, A., Striebich, C., Vo, Q., von Feldt, J., Wallace, D., Wasko, M., Young, C., Adelstein, S., Hall, S., Littlejohn, G., Nicholls, D., Suranyi, M., Amoura, Z., Bannert, B., Behrens, F., Perez, L.Carreno, Chakravarty, K., Gonzales, F. Diaz, Davies, K., Doria, A., Emery, P., FernándezNebro, A., Govoni, M., Hachulla, E., Hellmich, B., Houssiau, F., Malaise, M., Margaux, J., Maugars, Y., MuñozFernández, S., Navarro, F., OrdiRos, J., Pellerito, R., PenaSagredo, J., Roussou, E., Schmidt, R. E., UcarAngulo, E., Viallard, JF., Westhovens, R., Worm, M., Yee, C. S., Nayiager, S., Reuter, H., Spargo, C., Bazela, B., Brzosko, M., Chudzik, D., Gasztonyi, B., Geher, P., Ionescu, R., Jeka, S., Kemeny, L., Kiss, E., Kotyla, P., Kovacs, L., Kovalenko, V., Kucharz, E., Kwiatkowska, B., Leszczynski, P., Levchenko, E., Lysenko, G., Majdan, M., Mihailov, C., Nalotov, S., Nedelciu, M., Pavel, M., Raskina, T., Rebrov, B., Rezus, E., Semen, T., Smakotina, S., Stanislavchuk, M., Stanislav, M., Szombati, I., Szucs, G., Udrea, G., Zajdel, J., ZonGiebel, A., Bonfiglioli, R., Bustamante, R., Klumb, E., Ramirez, G. Medrano, Neiva, C., Olguin, M., Gonzaga, J.Reyes, Scotton, A., Ayala, S. Sicsik, Ximenes, A., Sharma, R., Srikantiah, C., Aelion, J., Aranow, C., Baker, M., Chadha, A., Chao, J., Chatham, W., Chow, A., Clay, C., CohenGadol, S., Conaway, D., Denburg, J., Escalante, A., Espinoza, L., Fiechtner, J., Fortin, I., Fraser, A., Furie, R., Gladman, D., Goddard, D., Goldberg, M., GonzalezRivera, R., Gorman, J., Griffin, R., Haaland, D., Halter, D., Hemaiden, A., Hobbs, K., Joshi, V., Lim, S., Kalunian, K., Karpouzas, G., Khraishi, M., Lafyatis, R., Lee, S., Lidman, R., Lue, C., Mohan, M., Mease, P., Mehta, C., Mizutani, W., Nami, A., Nascimento, J., Neuwelt, C., Pappas, J., Pope, J., Porges, A., Roane, G., Rosenberg, D., Ross, S., Saadeh, C., Scoville, C., Sherrer, Y., Solomon, M., Surbeck, W., Valenzuela, G., Waller, P., Alten, R., Baerwald, C., Bienvenu, B., Bombardieri, S., Braun, J., Dival, L., Espinosa, G., Fernandez, I. Figueroa, GomezReino, J., Gordon, C., Hiepe, F., Hopkinson, N., Isenberg, D., Jacobi, A., Jorgensen, C., Guern, V. Le, Paul, C., PegoReigosa, J. M., Heredia, J. Rodriguez, RubbertRoth, A., Sabbadini, M., Schroeder, J., Schwarting, A., Spieler, W., Valesini, G., Wollenhaupt, J., Mendoza, A. Zea, and Zouboulis, C.

Published
2017
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18. GeneLab: Scientific Partnerships and an Open-Access Database to Maximize Usage of Omics Data from Space Biology Experiments

Author

Reinsch, S. S, Galazka, J, Berrios, D. C, Chakravarty, K, Fogle, H, Lai S, Boyko, V, Timucin, L. R, Tran, P, and Skidmore, M

Subjects
Life Sciences (General)
Abstract

NASA's mission includes expanding our understanding of biological systems to improve life on Earth and to enable long-duration human exploration of space. The GeneLab Data System (GLDS) is NASAs premier open-access omics data platform for biological experiments. GLDS houses standards-compliant, high-throughput sequencing and other omics data from spaceflight-relevant experiments. The GeneLab project at NASA-Ames Research Center is developing the database, and also partnering with spaceflight projects through sharing or augmentation of experiment samples to expand omics analyses on precious spaceflight samples. The partnerships ensure that the maximum amount of data is garnered from spaceflight experiments and made publically available as rapidly as possible via the GLDS. GLDS Version 1.0, went online in April 2015. Software updates and new data releases occur at least quarterly. As of October 2016, the GLDS contains 80 datasets and has search and download capabilities. Version 2.0 is slated for release in September of 2017 and will have expanded, integrated search capabilities leveraging other public omics databases (NCBI GEO, PRIDE, MG-RAST). Future versions in this multi-phase project will provide a collaborative platform for omics data analysis. Data from experiments that explore the biological effects of the spaceflight environment on a wide variety of model organisms are housed in the GLDS including data from rodents, invertebrates, plants and microbes. Human datasets are currently limited to those with anonymized data (e.g., from cultured cell lines). GeneLab ensures prompt release and open access to high-throughput genomics, transcriptomics, proteomics, and metabolomics data from spaceflight and ground-based simulations of microgravity, radiation or other space environment factors. The data are meticulously curated to assure that accurate experimental and sample processing metadata are included with each data set. GLDS download volumes indicate strong interest of the scientific community in these data. To date GeneLab has partnered with multiple experiments including two plant (Arabidopsis thaliana) experiments, two mice experiments, and several microbe experiments. GeneLab optimized protocols in the rodent partnerships for maximum yield of RNA, DNA and protein from tissues harvested and preserved during the SpaceX-4 mission, as well as from tissues from mice that were frozen intact during spaceflight and later dissected on the ground. Analysis of GeneLab data will contribute fundamental knowledge of how the space environment affects biological systems, and as well as yield terrestrial benefits resulting from mitigation strategies to prevent effects observed during exposure to space environments.

Published
2016

19. Authorship

Author

Scott, Tim, Mann, J. I., Wareing, Michael J., Crammer, John, McQuay, H. J., Moore, R. A., de Sa, Paul, Boerma, Ties, Ezsias, A., Jia, Ji-Dong, Bichan, Helen M., Hall, Tim, Fetters, Michael D., Elwyn, Todd S., Phillips, Robin K. S., Currie, Craig, Chakravarty, K., and Davies, Brian W.

Published
1997

21. Maximizing Science Return from Future Rodent Experiments on the International Space Station (ISS): Tissue Preservation

Author

Choi, S. Y, Lai, S, Klotz, R, Popova, Y, Chakravarty, K, Beegle, J. E, Wigley, C. L, and Globus, R. K

Subjects
Space Sciences (General)
Abstract

To better understand how mammals adapt to long duration habitation in space, a system for performing rodent experiments on the ISS is under development; Rodent Research-1 is the first flight and will include validation of both on-orbit animal support and tissue preservation. To evaluate plans for on-orbit sample dissection and preservation, we simulated conditions for euthanasia, tissue dissection, and prolonged sample storage on the ISS, and we also developed methods for post-flight dissection and recovery of high quality RNA from multiple tissues following prolonged storage in situ for future science. Mouse livers and spleens were harvested under conditions that simulated nominal, on-orbit euthanasia and dissection operations including storage at -80 C for 4 months. The RNA recovered was of high quality (RNA Integrity Number, RIN(is) greater than 8) and quantity, and the liver enzyme contents and activities (catalase, glutathione reductase, GAPDH) were similar to positive controls, which were collected under standard laboratory conditions. We also assessed the impact of possible delayed on-orbit dissection scenarios (off-nominal) by dissecting and preserving the spleen (RNAlater) and liver (fast-freezing) at various time points post-euthanasia (from 5 min up to 105 min). The RNA recovered was of high quality (spleen, RIN (is) greater than 8; liver, RIN (is) greater than 6) and liver enzyme activities were similar to positive controls at all time points, although an apparent decline in select enzyme activities was evident at the latest time (105 min). Additionally, various tissues were harvested from either intact or partially dissected, frozen carcasses after storage for approximately 2 months; most of the tissues (brain, heart, kidney, eye, adrenal glands and muscle) were of acceptable RNA quality for science return, whereas some tissues (small intestine, bone marrow and bones) were not. These data demonstrate: 1) The protocols developed for future flight experiments will support science return despite delayed preservation post-euthanasia or prolonged storage, and 2) Many additional tissues for gene expression analysis can be obtained by dissection following prolonged storage of the tissue in situ at -80 C. These findings have relevance both to high value, ground-based experiments when sample collection capability is severely constrained, and to all future spaceflight experiments that entail on-orbit sample recovery by the ISS crew.

Published
2014

22. Evidence-based uitspraken over oefentherapie bij osteoartritis van heup of knie – de MOVE-consensus: Evidence-based recommendations for the role of exercise in the management of osteoarthritis of the hip or knee – the MOVE consensus [Rheumatology 2005;44:67–7]:Vertaling: L. Eenkhoorn

Author

Roddy, E., Zhang, W., Doherty, M., Arden, N.K., Barlow, J., Birrell, F., Carr, A., Chakravarty, K., Dickson, J., Hay, E., Hosie, G., Hurley, M., Jordan, K.M., McCarthy, C., McMurdo, M., Mockett, S., O’Reilly, S., Peat, G., Pendleton, A., and Richards, S.

Published
2005
Full Text
View/download PDF

27. Prevention of vascular damage in scleroderma and autoimmune Raynaudʼs phenomenon: A multicenter, randomized, double-blind, placebo-controlled trial of the angiotensin-converting enzyme inhibitor quinapril

Author

Gliddon, A. E., Doré, C. J., Black, C. M., McHugh, N., Moots, R., Denton, C. P., Herrick, A., Barnes, T., Camilleri, J., Chakravarty, K., Emery, P., Griffiths, B., Hopkinson, N. D., Hickling, P., Lanyon, P., Laversuch, C., Lawson, T., Mallya, R., Nisar, M., Rhys-Dillon, C., Sheeran, T., and Maddison, P. J.

Published
2007

31. Laboratory-scale tests for the utilisation of high ash non-coking coal in coke-making process

Author

Saida S., Biswas R.D., Chakravarty K., Chakravaty S., Sahu R., Saida S., Biswas R.D., Chakravarty K., Chakravaty S., and Sahu R.

Abstract

Laboratory-scale experiments have been carried out on the utilisation of Indian high ash non-coking coal (NCC) and imported semi-coking coal (SCC) for coke preparation. The washability characteristics of Indian high ash coal were investigated using jigging, spiral concentration, and sink and float density separation methods. The optimum cut-off density NCC and SCC coals were blended and caking properties analysed. Proximate and ultimate analysis, vitrinite reflectance, crucible swelling number, and caking index or roga index have been taken as the measure for the caking ability of coal blends. The results show that jigging and spiral concentration were less effective for the beneficiation of the high ash coals. Regression analysis of two different samples of blended NCC and SCC coals showed there is a negative correlation between the percentage of NCC coal in the blends and reflectance of the blends., Laboratory-scale experiments have been carried out on the utilisation of Indian high ash non-coking coal (NCC) and imported semi-coking coal (SCC) for coke preparation. The washability characteristics of Indian high ash coal were investigated using jigging, spiral concentration, and sink and float density separation methods. The optimum cut-off density NCC and SCC coals were blended and caking properties analysed. Proximate and ultimate analysis, vitrinite reflectance, crucible swelling number, and caking index or roga index have been taken as the measure for the caking ability of coal blends. The results show that jigging and spiral concentration were less effective for the beneficiation of the high ash coals. Regression analysis of two different samples of blended NCC and SCC coals showed there is a negative correlation between the percentage of NCC coal in the blends and reflectance of the blends.

Published
2020

40. Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study

Author

Herrick, A, Peytrignet, S, Lunt, M, Pan, X, Hesselstrand, R, Mouthon, L, Silman, A, Dinsdale, G, Brown, E, Czirják, L, Distler, J, Distler, O, Fligelstone, K, Gregory, W, Ochiel, R, Vonk, M, Ancuţa, C, Ong, V, Farge, D, Hudson, M, Matucci-Cerinic, M, Balbir-Gurman, A, Midtvedt, Ø, Jobanputra, P, Jordan, A, Stevens, W, Moinzadeh, P, Hall, F, Agard, C, Anderson, M, Diot, E, Madhok, R, Akil, M, Buch, M, Chung, L, Damjanov, N, Gunawardena, H, Lanyon, P, Ahmad, Y, Chakravarty, K, Jacobsen, S, Macgregor, A, McHugh, N, Müller-Ladner, U, Riemekasten, G, Becker, M, Roddy, J, Carreira, P, Fauchais, A, Hachulla, E, Hamilton, J, İnanç, M, McLaren, J, Van Laar, J, Pathare, S, Proudman, S, Rudin, A, Sahhar, J, Coppere, B, Serratrice, C, Sheeran, T, Veale, D, Grange, C, Trad, G, and Denton, C

Subjects
Adult, Male, Skin/pathology, systemic sclerosis, autoantibodies, Severity of Illness Index, Scleroderma, Diffuse/diagnosis, outcomes research, Predictive Value of Tests, Skin Tests/statistics & numerical data, Humans, Prospective Studies, Skin, Skin Tests, RNA Polymerase III, Clinical and Epidemiological Research, Early Diagnosis, Logistic Models, ROC Curve, RNA Polymerase III/analysis, Area Under Curve, Scleroderma, Diffuse, Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5], Disease Progression, Female, Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study
Abstract

ObjectivesOur aim was to use the opportunity provided by the European Scleroderma Observational Study to (1) identify and describe those patients with early diffuse cutaneous systemic sclerosis (dcSSc) with progressive skin thickness, and (2) derive prediction models for progression over 12 months, to inform future randomised controlled trials (RCTs). MethodsThe modified Rodnan skin score (mRSS) was recorded every 3 months in 326 patients. ‘Progressors’ were defined as those experiencing a 5-unit and 25% increase in mRSS score over 12 months (±3 months). Logistic models were fitted to predict progression and, using receiver operating characteristic (ROC) curves, were compared on the basis of the area under curve (AUC), accuracy and positive predictive value (PPV). Results66 patients (22.5%) progressed, 227 (77.5%) did not (33 could not have their status assessed due to insufficient data). Progressors had shorter disease duration (median 8.1 vs 12.6 months, P=0.001) and lower mRSS (median 19 vs 21 units, P=0.030) than non-progressors. Skin score was highest, and peaked earliest, in the anti-RNA polymerase III (Pol3+) subgroup (n=50). A first predictive model (including mRSS, duration of skin thickening and their interaction) had an accuracy of 60.9%, AUC of 0.666 and PPV of 33.8%. By adding a variable for Pol3 positivity, the model reached an accuracy of 71%, AUC of 0.711 and PPV of 41%. ConclusionsTwo prediction models for progressive skin thickening were derived, for use both in clinical practice and for cohort enrichment in RCTs. These models will inform recruitment into the many clinical trials of dcSSc projected for the coming years. Trial registration numberNCT02339441.

Published
2018
Full Text
View/download PDF

41. Verrucous haemangioma

Author

Chand M, Gangopadhya DN, Chakravarty K, and Pal D

Subjects
Hemangioma/CN, Hemangioma/DI, Hemangioma/SU, Leg/PA, Case Report, Adolescent, Male, Human, Dermatology, RL1-803
Abstract

ABSTRACT: A 15 year old boy presented with a verrucous plaque on left leg above the ankle. There was history of bleeding on trauma on several occasion. The lesion was present at birth as an erythematous macule. Histopathological examination established the diagnosis of verrucous haemangioma. Surgical excision has been done.

Published
1996

42. Painful Glomangioma On Sole

Author

Chakravarty K, Chanda M, and Pal D

Subjects
Dermatology, RL1-803
Abstract

A child of 8 years developed multiple painful conglomerated mass on sole. Excision was done and there was no recurrence after 6 months of excision. Diagnosis was made on histopathological examination. Multiple glomus tumour is a rare condition and is therefore reported.

Published
1996

43. Treatment outcome in early diffuse cutaneous systemic sclerosis: the European Scleroderma Observational Study (ESOS)

Author

Herrick, A, Pan, X, Peytrignet, S, Lunt, M, Hesselstrand, R, Mouthon, L, Silman, A, Brown, E, Czirják, L, Distler, J, Distler, O, Fligelstone, K, Gregory, W, Ochiel, R, Vonk, M, Ancuţa, C, Ong, V, Farge, D, Hudson, M, Matucci-Cerinic, M, Balbir-Gurman, A, Midtvedt, Ø, Jordan, A, Jobanputra, P, Stevens, W, Moinzadeh, P, Hall, F, Agard, C, Anderson, M, Diot, E, Madhok, R, Akil, M, Buch, M, Chung, L, Damjanov, N, Gunawardena, H, Lanyon, P, Ahmad, Y, Chakravarty, K, Jacobsen, S, Macgregor, A, McHugh, N, Müller-Ladner, U, Riemekasten, G, Becker, M, Roddy, J, Carreira, P, Fauchais, A, Hachulla, E, Hamilton, J, İnanç, M, McLaren, J, Van Laar, J, Pathare, S, Proudman, S, Rudin, A, Sahhar, J, Coppere, B, Serratrice, C, Sheeran, T, Veale, D, Grange, C, Trad, G, and Denton, C

Subjects
Adult, Male, Methotrexate/therapeutic use, RNA Polymerase III/immunology, Antibodies, Antinuclear/immunology, Systemic Sclerosis, Severity of Illness Index, Cohort Studies, Early Medical Intervention, Journal Article, Humans, Prospective Studies, Cyclophosphamide, Autoantibodies, Nuclear Proteins, RNA Polymerase III, Mycophenolic Acid/therapeutic use, Clinical and Epidemiological Research, Middle Aged, Mycophenolic Acid, Scleroderma, Diffuse/drug therapy, Treatment, Europe, Survival Rate, Methotrexate, Treatment Outcome, DNA Topoisomerases, Type I, Cyclophosphamide/therapeutic use, Antibodies, Antinuclear, Scleroderma, Diffuse, Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5], Immunosuppressive Agents/therapeutic use, Nuclear Proteins/immunology, Female, Autoantibodies/immunology, Immunosuppressive Agents
Abstract

Objectives: The rarity of early diffuse cutaneous systemic sclerosis (dcSSc) makes randomised controlled trials very difficult. We aimed to use an observational approach to compare effectiveness of currently used treatment approaches. Methods: This was a prospective, observational cohort study of early dcSSc (within three years of onset of skin thickening). Clinicians selected one of four protocols for each patient: methotrexate, mycophenolate mofetil (MMF), cyclophosphamide or ‘no immunosuppressant’. Patients were assessed three-monthly for up to 24 months. The primary outcome was the change in modified Rodnan skin score (mRSS). Confounding by indication at baseline was accounted for using inverse probability of treatment (IPT) weights. As a secondary outcome, an IPT-weighted Cox model was used to test for differences in survival. Results: Of 326 patients recruited from 50 centres, 65 were prescribed methotrexate, 118 MMF, 87 cyclophosphamide and 56 no immunosuppressant. 276 (84.7%) patients completed 12 and 234 (71.7%) 24 months follow-up (or reached last visit date). There were statistically significant reductions in mRSS at 12 months in all groups: −4.0 (−5.2 to −2.7) units for methotrexate, −4.1 (−5.3 to −2.9) for MMF, −3.3 (−4.9 to −1.7) for cyclophosphamide and −2.2 (−4.0 to −0.3) for no immunosuppressant (p value for between-group differences=0.346). There were no statistically significant differences in survival between protocols before (p=0.389) or after weighting (p=0.440), but survival was poorest in the no immunosuppressant group (84.0%) at 24 months. Conclusions: These findings may support using immunosuppressants for early dcSSc but suggest that overall benefit is modest over 12 months and that better treatments are needed. Trial Registration Number: NCT02339441.

Published
2017
Full Text
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44. An Unusual Drug Reaction To Carbamazepine

Author

Chakravarty K and Chanda M

Subjects
Dermatology, RL1-803
Abstract

Cases of two patients who developed psoriasiform lesions following carbamazepine (CBZ) therapy are reported here for its rarity.

Published
1995

45. Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study

Author

Herrick, A.L., Peytrignet, S., Lunt, M., Pan, X., Hesselstrand, R., Mouthon, L., Silman, A.J., Dinsdale, G., Brown, E., Czirjak, L., Distler, J.H., Distler, O., Fligelstone, K., Gregory, W.J., Ochiel, R., Vonk, M.C., Ancuta, C., Ong, V.H., Farge, D., Hudson, M., Matucci-Cerinic, M., Balbir-Gurman, A., Midtvedt, O., Jobanputra, P., Jordan, A.C., Stevens, W.B.C., Moinzadeh, P., Hall, F.C., Agard, C., Anderson, M.E., Diot, E., Madhok, R., Akil, M., Buch, M.H., Chung, L., Damjanov, N.S., Gunawardena, H., Lanyon, P., Ahmad, Y., Chakravarty, K., Jacobsen, S., MacGregor, A.J., McHugh, N., Muller-Ladner, U., Riemekasten, G., Becker, M., Roddy, J., Carreira, P.E., Fauchais, A.L., Hachulla, E., Hamilton, J., Inanc, M., McLaren, J.S., Laar, J.M. van, Pathare, S., Proudman, S.M., Rudin, A., Sahhar, J., Coppere, B., Serratrice, C., Sheeran, T., Veale, D.J., Grange, C., Trad, G.S., Denton, C.P., Herrick, A.L., Peytrignet, S., Lunt, M., Pan, X., Hesselstrand, R., Mouthon, L., Silman, A.J., Dinsdale, G., Brown, E., Czirjak, L., Distler, J.H., Distler, O., Fligelstone, K., Gregory, W.J., Ochiel, R., Vonk, M.C., Ancuta, C., Ong, V.H., Farge, D., Hudson, M., Matucci-Cerinic, M., Balbir-Gurman, A., Midtvedt, O., Jobanputra, P., Jordan, A.C., Stevens, W.B.C., Moinzadeh, P., Hall, F.C., Agard, C., Anderson, M.E., Diot, E., Madhok, R., Akil, M., Buch, M.H., Chung, L., Damjanov, N.S., Gunawardena, H., Lanyon, P., Ahmad, Y., Chakravarty, K., Jacobsen, S., MacGregor, A.J., McHugh, N., Muller-Ladner, U., Riemekasten, G., Becker, M., Roddy, J., Carreira, P.E., Fauchais, A.L., Hachulla, E., Hamilton, J., Inanc, M., McLaren, J.S., Laar, J.M. van, Pathare, S., Proudman, S.M., Rudin, A., Sahhar, J., Coppere, B., Serratrice, C., Sheeran, T., Veale, D.J., Grange, C., Trad, G.S., and Denton, C.P.

Abstract

Contains fulltext : 191335.pdf (publisher's version ) (Open Access), OBJECTIVES: Our aim was to use the opportunity provided by the European Scleroderma Observational Study to (1) identify and describe those patients with early diffuse cutaneous systemic sclerosis (dcSSc) with progressive skin thickness, and (2) derive prediction models for progression over 12 months, to inform future randomised controlled trials (RCTs). METHODS: The modified Rodnan skin score (mRSS) was recorded every 3 months in 326 patients. 'Progressors' were defined as those experiencing a 5-unit and 25% increase in mRSS score over 12 months (+/-3 months). Logistic models were fitted to predict progression and, using receiver operating characteristic (ROC) curves, were compared on the basis of the area under curve (AUC), accuracy and positive predictive value (PPV). RESULTS: 66 patients (22.5%) progressed, 227 (77.5%) did not (33 could not have their status assessed due to insufficient data). Progressors had shorter disease duration (median 8.1 vs 12.6 months, P=0.001) and lower mRSS (median 19 vs 21 units, P=0.030) than non-progressors. Skin score was highest, and peaked earliest, in the anti-RNA polymerase III (Pol3+) subgroup (n=50). A first predictive model (including mRSS, duration of skin thickening and their interaction) had an accuracy of 60.9%, AUC of 0.666 and PPV of 33.8%. By adding a variable for Pol3 positivity, the model reached an accuracy of 71%, AUC of 0.711 and PPV of 41%. CONCLUSIONS: Two prediction models for progressive skin thickening were derived, for use both in clinical practice and for cohort enrichment in RCTs. These models will inform recruitment into the many clinical trials of dcSSc projected for the coming years. TRIAL REGISTRATION NUMBER: NCT02339441.

Published
2018

46. Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study.

Author

Midtvedt O., Veale D.J., Grange C., Trad G.-S., Denton C.P., Herrick A.L., Peytrignet S., Lunt M., Pan X., Hesselstrand R., Mouthon L., Silman A.J., DInsdale G., Brown E., Czirjak L., DIstler J.H.W., DIstler O., Fligelstone K., Gregory W.J., Ochiel R., Vonk M.C., Ancu C., Ong V.H., Farge D., Hudson M., Matucci-Cerinic M., Balbir-Gurman A., Jobanputra P., Jordan A.C., Stevens W., Moinzadeh P., Hall F.C., Agard C., Anderson M.E., DIot E., Madhok R., Akil M., Buch M.H., Chung L., Damjanov N.S., Gunawardena H., Lanyon P., Ahmad Y., Chakravarty K., Jacobsen S., MacGregor A.J., McHugh N., Muller-Ladner U., Riemekasten G., Becker M., Roddy J., Carreira P.E., Fauchais A.L., Hachulla E., Hamilton J., Inanc M., McLaren J.S., Van Laar J.M., Pathare S., Proudman S.M., Rudin A., Sahhar J., Coppere B., Serratrice C., Sheeran T., Midtvedt O., Veale D.J., Grange C., Trad G.-S., Denton C.P., Herrick A.L., Peytrignet S., Lunt M., Pan X., Hesselstrand R., Mouthon L., Silman A.J., DInsdale G., Brown E., Czirjak L., DIstler J.H.W., DIstler O., Fligelstone K., Gregory W.J., Ochiel R., Vonk M.C., Ancu C., Ong V.H., Farge D., Hudson M., Matucci-Cerinic M., Balbir-Gurman A., Jobanputra P., Jordan A.C., Stevens W., Moinzadeh P., Hall F.C., Agard C., Anderson M.E., DIot E., Madhok R., Akil M., Buch M.H., Chung L., Damjanov N.S., Gunawardena H., Lanyon P., Ahmad Y., Chakravarty K., Jacobsen S., MacGregor A.J., McHugh N., Muller-Ladner U., Riemekasten G., Becker M., Roddy J., Carreira P.E., Fauchais A.L., Hachulla E., Hamilton J., Inanc M., McLaren J.S., Van Laar J.M., Pathare S., Proudman S.M., Rudin A., Sahhar J., Coppere B., Serratrice C., and Sheeran T.

Abstract

Objectives Our aim was to use the opportunity provided by the European Scleroderma Observational Study to (1) identify and describe those patients with early diffuse cutaneous systemic sclerosis (dcSSc) with progressive skin thickness, and (2) derive prediction models for progression over 12 months, to inform future randomised controlled trials (RCTs). Methods The modified Rodnan skin score (mRSS) was recorded every 3 months in 326 patients. 'Progressors' were defined as those experiencing a 5-unit and 25% increase in mRSS score over 12 months (+/-3 months). Logistic models were fitted to predict progression and, using receiver operating characteristic (ROC) curves, were compared on the basis of the area under curve (AUC), accuracy and positive predictive value (PPV). Results 66 patients (22.5%) progressed, 227 (77.5%) did not (33 could not have their status assessed due to insufficient data). Progressors had shorter disease duration (median 8.1 vs 12.6 months, P=0.001) and lower mRSS (median 19 vs 21 units, P=0.030) than non-progressors. Skin score was highest, and peaked earliest, in the anti-RNA polymerase III (Pol3+) subgroup (n=50). A first predictive model (including mRSS, duration of skin thickening and their interaction) had an accuracy of 60.9%, AUC of 0.666 and PPV of 33.8%. By adding a variable for Pol3 positivity, the model reached an accuracy of 71%, AUC of 0.711 and PPV of 41%. Conclusions Two prediction models for progressive skin thickening were derived, for use both in clinical practice and for cohort enrichment in RCTs. These models will inform recruitment into the many clinical trials of dcSSc projected for the coming years. Trial registration number NCT02339441.Copyright © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Published
2018

47. Patterns and predictors of skin score change in early diffuse systemic sclerosis from the European Scleroderma Observational Study.

Author

Herrick, AL, Peytrignet, S, Lunt, M, Pan, X, Hesselstrand, R, Mouthon, L, Silman, AJ, Dinsdale, G, Brown, E, Czirják, L, Distler, JHW, Distler, O, Fligelstone, K, Gregory, WJ, Ochiel, R, Vonk, MC, Ancuţa, C, Ong, VH, Farge, D, Hudson, M, Matucci-Cerinic, M, Balbir-Gurman, A, Midtvedt, Ø, Jobanputra, P, Jordan, AC, Stevens, W, Moinzadeh, P, Hall, FC, Agard, C, Anderson, ME, Diot, E, Madhok, R, Akil, M, Buch, MH, Chung, L, Damjanov, NS, Gunawardena, H, Lanyon, P, Ahmad, Y, Chakravarty, K, Jacobsen, S, MacGregor, AJ, McHugh, N, Müller-Ladner, U, Riemekasten, G, Becker, M, Roddy, J, Carreira, PE, Fauchais, AL, Hachulla, E, Hamilton, J, İnanç, M, McLaren, JS, van Laar, JM, Pathare, S, Proudman, SM, Rudin, A, Sahhar, J, Coppere, B, Serratrice, C, Sheeran, T, Veale, DJ, Grange, C, Trad, G-S, Denton, CP, Herrick, AL, Peytrignet, S, Lunt, M, Pan, X, Hesselstrand, R, Mouthon, L, Silman, AJ, Dinsdale, G, Brown, E, Czirják, L, Distler, JHW, Distler, O, Fligelstone, K, Gregory, WJ, Ochiel, R, Vonk, MC, Ancuţa, C, Ong, VH, Farge, D, Hudson, M, Matucci-Cerinic, M, Balbir-Gurman, A, Midtvedt, Ø, Jobanputra, P, Jordan, AC, Stevens, W, Moinzadeh, P, Hall, FC, Agard, C, Anderson, ME, Diot, E, Madhok, R, Akil, M, Buch, MH, Chung, L, Damjanov, NS, Gunawardena, H, Lanyon, P, Ahmad, Y, Chakravarty, K, Jacobsen, S, MacGregor, AJ, McHugh, N, Müller-Ladner, U, Riemekasten, G, Becker, M, Roddy, J, Carreira, PE, Fauchais, AL, Hachulla, E, Hamilton, J, İnanç, M, McLaren, JS, van Laar, JM, Pathare, S, Proudman, SM, Rudin, A, Sahhar, J, Coppere, B, Serratrice, C, Sheeran, T, Veale, DJ, Grange, C, Trad, G-S, and Denton, CP

Abstract

OBJECTIVES: Our aim was to use the opportunity provided by the European Scleroderma Observational Study to (1) identify and describe those patients with early diffuse cutaneous systemic sclerosis (dcSSc) with progressive skin thickness, and (2) derive prediction models for progression over 12 months, to inform future randomised controlled trials (RCTs). METHODS: The modified Rodnan skin score (mRSS) was recorded every 3 months in 326 patients. 'Progressors' were defined as those experiencing a 5-unit and 25% increase in mRSS score over 12 months (±3 months). Logistic models were fitted to predict progression and, using receiver operating characteristic (ROC) curves, were compared on the basis of the area under curve (AUC), accuracy and positive predictive value (PPV). RESULTS: 66 patients (22.5%) progressed, 227 (77.5%) did not (33 could not have their status assessed due to insufficient data). Progressors had shorter disease duration (median 8.1 vs 12.6 months, P=0.001) and lower mRSS (median 19 vs 21 units, P=0.030) than non-progressors. Skin score was highest, and peaked earliest, in the anti-RNA polymerase III (Pol3+) subgroup (n=50). A first predictive model (including mRSS, duration of skin thickening and their interaction) had an accuracy of 60.9%, AUC of 0.666 and PPV of 33.8%. By adding a variable for Pol3 positivity, the model reached an accuracy of 71%, AUC of 0.711 and PPV of 41%. CONCLUSIONS: Two prediction models for progressive skin thickening were derived, for use both in clinical practice and for cohort enrichment in RCTs. These models will inform recruitment into the many clinical trials of dcSSc projected for the coming years. TRIAL REGISTRATION NUMBER: NCT02339441.

Published
2018

50. Efficacy and Safety of Epratuzumab in Moderately to Severely Active Systemic Lupus Erythematosus: Results From Two Phase III Randomized, Double-Blind, Placebo-Controlled Trials

Author

Clowse, Megan E. B, Wallace, Daniel J., Furie, Richard A., Petri, Michelle A., Pike, Marilyn C., Leszczyński, Piotr, Neuwelt, C. Michael, Hobbs, Kathryn, Keiserman, Mauro, Duca, Liliana, Kalunian, Kenneth C., Galateanu, Catrinel, Bongardt, Sabine, Stach, Christian, Beaudot, Carolyn, Kilgallen, Brian, Gordon, Caroline, Batalov, A., Bojinca, M., Djerassi, R., Duca, L., Horak, P., Kolarov, Z., Milasiene, R., Monova, D., Otsa, K., Pileckyte, M., Popova, T., Radulescu, F., Rashkov, R., Rednic, S., Repin, M., Stoilov, R., Tegzova, D., Vezikova, N., Vitek, P., Zainea, C., East, Far, Baek, H., Chen, Y., Chiu, Y., Cho, C., Chou, C., Choe, J., Huang, C., Kang, Y., Kang, S., Lai, N., Lee, S., Park, W., Shim, S., Suh, C., Yoo, W., Armengol, H. Avila, Zapata, F. Avila, Santiago, M. Barreto, Cavalcanti, F., Chahade, W., Costallat, L., Keiserman, M., Alcala, J. Orozco, Remus, C. Ramos, Roimicher, L., Abu Shakra, M., Agarwal, V., Agmon Levin, N., Kadel, J., Levy, Y., Mevorach, D., Paran, D., Reitblat, T., Rosner, I., Shobha, V., Sthoeger, Z., Zisman, D., Ayesu, K., Berney, S., Box, J., Busch, H., Buyon, J., Carter, J., Chi, J., Clowse, M., Collins, R., Dao, K., Diab, I., Dikranian, A., El Shahawy, M., Gaylis, N., Grossman, J., Halpert, E., Huff, J., Jarjour, W., Kao, A., Katz, R., Kennedy, A., Khan, M., Kivitz, A., Kohen, M., Lawrence Ford, T., Lawson, J., Levesque, M., Lowenstein, M., Majjhoo, A., Mcarthur, R., Mclain, D., Merrill, J., Murillo, A., Neucks, S., Niemer, G., Noaiseh, G., Parker, C., Pantojas, C., Pattanaik, D., Petri, M., Pickrell, P., Reveille, J., Roman Miranda, A., Rothfield, N., Sankoorikal, A., Sayers, M., Singhal, A., Snyder, A., Striebich, C., Vo, Q., von Feldt, J., Wallace, D., Wasko, M., Young, C., Adelstein, S., Hall, S., Littlejohn, G., Nicholls, D., Suranyi, M., Amoura, Z., Bannert, B., Behrens, F., Perez, L. Carreno, Chakravarty, K., Gonzales, F. Diaz, Davies, K., Doria, Andrea, Emery, P., Fernández Nebro, A., Govoni, M., Hachulla, E., Hellmich, B., Houssiau, F., Malaise, M., Margaux, J., Maugars, Y., Muñoz Fernández, S., Navarro, F., Ordi Ros, J., Pellerito, R., Pena Sagredo, J., Roussou, E., Schmidt, R. E., Ucar Angulo, E., Viallard, J. F., Westhovens, R., Worm, M., Yee, C. S., Nayiager, S., Reuter, H., Spargo, C., Bazela, B., Brzosko, M., Chudzik, D., Gasztonyi, B., Geher, P., Ionescu, R., Jeka, S., Kemeny, L., Kiss, E., Kotyla, P., Kovacs, L., Kovalenko, V., Kucharz, E., Kwiatkowska, B., Leszczynski, P., Levchenko, E., Lysenko, G., Majdan, M., Mihailov, C., Nalotov, S., Nedelciu, M., Pavel, M., Raskina, T., Rebrov, B., Rezus, E., Semen, T., Smakotina, S., Stanislavchuk, M., Stanislav, M., Szombati, I., Szucs, G., Udrea, G., Zajdel, J., Zon Giebel, A., Bonfiglioli, R., Bustamante, R., Klumb, E., Ramirez, G. Medrano, Neiva, C., Olguin, M., Gonzaga, J. Reyes, Scotton, A., Ayala, S. Sicsik, Ximenes, A., Sharma, R., Srikantiah, C., Aelion, J., Aranow, C., Baker, M., Chadha, A., Chao, J., Chatham, W., Chow, A., Clay, C., Cohen Gadol, S., Conaway, D., Denburg, J., Escalante, A., Espinoza, L., Fiechtner, J., Fortin, I., Fraser, A., Furie, R., Gladman, D., Goddard, D., Goldberg, M., Gonzalez Rivera, R., Gorman, J., Griffin, R., Haaland, D., Halter, D., Hemaiden, A., Hobbs, K., Joshi, V., Lim, S., Kalunian, K., Karpouzas, G., Khraishi, M., Lafyatis, R., Lidman, R., Lue, C., Mohan, M., Mease, P., Mehta, C., Mizutani, W., Nami, A., Nascimento, J., Neuwelt, C., Pappas, J., Pope, J., Porges, A., Roane, G., Rosenberg, D., Ross, S., Saadeh, C., Scoville, C., Sherrer, Y., Solomon, M., Surbeck, W., Valenzuela, G., Waller, P., Alten, R., Baerwald, C., Bienvenu, B., Bombardieri, S., Braun, J., Dival, L., Espinosa, G., Fernandez, I. Figueroa, Gomez Reino, J., Gordon, C., Hiepe, F., Hopkinson, N., Isenberg, D., Jacobi, A., Jorgensen, C., Guern, V. Le, Paul, C., Pego Reigosa, J. M., Heredia, J. Rodriguez, Rubbert Roth, A., Sabbadini, M., Schroeder, J., Schwarting, A., Spieler, W., Valesini, G., Wollenhaupt, J., Mendoza, A. Zea, and Zouboulis, C.

Subjects
humanized, adult, rheumatology, monoclonal, antibodies, monoclonal, humanized, double-blind method, female, humans, lupus erythematosus, systemic, male, severity of illness index, treatment outcome, immunology and allergy, immunology, systemic, Antibodies, Monoclonal, Humanized, Systemic Lupus Erythematosus, NO, Immunology and Allergy, Rheumatology, Immunology, Lupus Erythematosus, Systemic, antibodies, lupus erythematosus
Abstract

Objective Epratuzumab, a monoclonal antibody that targets CD22, modulates B cell signaling without substantial reductions in the number of B cells. The aim of this study was to report the results of 2 phase III multicenter randomized, double‐blind, placebo‐controlled trials, the EMBODY 1 and EMBODY 2 trials, assessing the efficacy and safety of epratuzumab in patients with moderately to severely active systemic lupus erythematosus (SLE). Methods Patients met ≥4 of the American College of Rheumatology revised classification criteria for SLE, were positive for antinuclear antibodies and/or anti–double‐stranded DNA antibodies, had an SLE Disease Activity Index 2000 (SLEDAI‐2K) score of ≥6 (increased disease activity), had British Isles Lupus Assessment Group 2004 index (BILAG‐2004) scores of grade A (severe disease activity) in ≥1 body system or grade B (moderate disease activity) in ≥2 body systems (in the mucocutaneous, musculoskeletal, or cardiorespiratory domains), and were receiving standard therapy, including mandatory treatment with corticosteroids (5–60 mg/day). BILAG‐2004 grade A scores in the renal and central nervous system domains were excluded. Patients were randomized 1:1:1 to receive either placebo, epratuzumab 600 mg every week, or epratuzumab 1,200 mg every other week, with infusions delivered for the first 4 weeks of each 12‐week dosing cycle, for 4 cycles. Patients across all 3 treatment groups also continued with their standard therapy. The primary end point was the response rate at week 48 according to the BILAG‐based Combined Lupus Assessment (BICLA) definition, requiring improvement in the BILAG‐2004 score, no worsening in the BILAG‐2004 score, SLEDAI‐2K score, or physician's global assessment of disease activity, and no disallowed changes in concomitant medications. Patients who discontinued the study medication were classified as nonresponders. Results In the EMBODY 1 and EMBODY 2 trials of epratuzumab, 793 patients and 791 patients, respectively, were randomized, 786 (99.1%) and 788 (99.6%), respectively, received study medication, and 528 (66.6%) and 533 (67.4%), respectively, completed the study. There was no statistically significant difference in the primary end point between the groups, with the week 48 BICLA response rates being similar between the epratuzumab groups and the placebo group (response rates ranging from 33.5% to 39.8%). No new safety signals were identified. Conclusion In patients with moderate or severely active SLE, treatment with epratuzumab + standard therapy did not result in improvements in response rates over that observed in the placebo + standard therapy group.

Published
2017

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