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1. External validation of the PAGE-B score for HCC risk prediction in people living with HIV/HBV coinfection

Author

Abela, I., Aebi-Popp, K., Anagnostopoulos, A., Battegay, M., Bernasconi, E., Braun, D.L., Bucher, H.C., Calmy, A., Cavassini, M., Ciuffi, A., Dollenmaier, G., Egger, M., Elzi, L., Fehr, J., Fellay, J., Furrer, H., Fux, C.A., Günthard, H.F., Hachfeld, A., Haerry, D., Hasse, B., Hirsch, H.H., Hoffmann, M., Hösli, I., Huber, M., Jackson-Perry, D., Kahlert, C.R., Kaiser, L., Keiser, O., Klimkait, T., Kouyos, R.D., Kovari, H., Kusejko, K., Labhardt, N., Leuzinger, K., de Tejada B, Martinez, Marzolini, C., Metzner, K.J., Müller, N., Nemeth, J., Nicca, D., Notter, J., Paioni, P., Pantaleo, G., Perreau, M., Rauch, A., Salazar-Vizcaya, L., Schmid, P., Speck, R., Stöckle, M., Tarr, P., Trkola, A., Wandeler, G., Weisser, M., Yerly, S., van der Valk, M., Geerlings, S.E., Goorhuis, A., Harris, V.C., Hovius, J.W., Lempkes, B., Nellen, F.J.B., van der Poll, T., Prins, J.M., Spoorenberg, V., van Vugt, M., Wiersinga, W.J., Wit, F.W.M.N., Bruins, C., van Eden, J., Hylkema-van den Bout, I.J., van Hes, A.M.H., Pijnappel, F.J.J., Smalhout, S.Y., Weijsenfeld, A.M., Back, N.K.T., Berkhout, B., Cornelissen, M.T.E., van Houdt, R., Jonges, M., Jurriaans, S., Schinkel, C.J., Wolthers, K.C., Zaaijer, H.L., Peters, E.J.G., van Agtmael, M.A., Autar, R.S., Bomers, M., Sigaloff, K.C.E., Heitmuller, M., Laan, L.M., van den Berge, M., Stegeman, A., Baas, S., Hage de Looff, L., van Arkel, A., Stohr, J., Wintermans, B., Pronk, M.J.H., Ammerlaan, H.S.M., de Munnik, E.S., Deiman, B., Jansz, A.R., Scharnhorst, V., Tjhie, J., Wegdam, M.C.A., van Eeden, A., Hoornenborg, E., Nellen, J., Alers, W., Elsenburg, L.J.M., Nobel, H., van Kasteren, M.E.E., Berrevoets, M.A.H., Brouwer, A.E., de Kruijf-van de Wiel, B.A.F.M., Adams, A., Rijkevoorsel, M. Pawels-van, Buiting, A.G.M., Murck, J.L., Rokx, C., Anas, A.A., Bax, H.I., van Gorp, E.C.M., de Mendonça Melo, M., van Nood, E., Nouwen, J.L., Rijnders, B.J.A., Schurink, C.A.M., Slobbe, L., de Vries-Sluijs, T.E.M.S., Bassant, N., van Beek, J.E.A., Vriesde, M., van Zonneveld, L.M., de Groot, J., van Kampen, J.J.A., Koopmans, M.P.G., Rahamat-Langendoen, J.C., Branger, J., Douma, R.A., Cents-Bosma, A.S., Duijf-van de Ven, C.J.H.M., Schippers, E.F., van Nieuwkoop, C., Geilings, J., van Winden, S., van der Hut, G., van Burgel, N.D., Leyten, E.M.S., Gelinck, L.B.S., Mollema, F., Wildenbeest, G.S., Nguyen, T., Groeneveld, P.H.P., Bouwhuis, J.W., Lammers, A.J.J., van Hulzen, A.G.W., Kraan, S., Kruiper, M.S.M., van der Bliek, G.L., Bor, P.C.J., Debast, S.B., Wagenvoort, G.H.J., Roukens, A.H.E., de Boer, M.G.J., Jolink, H., Lambregts, M.M.C., Scheper, H., Dorama, W., van Holten, N., Claas, E.C.J., Wessels, E., Hollander, J.G. den, El Moussaoui, R., Pogany, K., Brouwer, C.J., Heida-Peters, D., Mulder, E., Smit, J.V., Struik-Kalkman, D., van Niekerk, T., Pontesilli, O., van Tienen, C., Lowe, S.H., Lashof, A.M.L. Oude, Posthouwer, D., van Wolfswinkel, M.E., Ackens, R.P., Burgers, K., Elasri, M., Schippers, J., Havenith, T.R.A., van Loo, M., van Vonderen, M.G.A., Kampschreur, L.M., van Broekhuizen, M.C., S, Faber, Al Moujahid, A., Kootstra, G.J., Delsing, C.E., van der Burg-van de Plas, M., Scheiberlich, L., Kortmann, W., van Twillert, G., Renckens, R., Wagenaar, J., Ruiter-Pronk, D., van Truijen-Oud, F.A., Stuart, J.W.T. Cohen, Hoogewerf, M., Rozemeijer, W., Sinnige, J.C., Brinkman, K., van den Berk, G.E.L., Lettinga, K.D., de Regt, M., Schouten, W.E.M., Stalenhoef, J.E., Veenstra, J., Vrouenraets, S.M.E., Blaauw, H., Geerders, G.F., Kleene, M.J., Knapen, M., Kok, M., van der Meché, I.B., Toonen, A.J.M., Wijnands, S., Wttewaal, E., Kwa, D., van de Laar, T.J.W., van Crevel, R., van Aerde, K., Dofferhoff, A.S.M., Henriet, S.S.V., Hofstede, H.J.M. ter, Hoogerwerf, J., Richel, O., Albers, M., Grintjes-Huisman, K.J.T., de Haan, M., Marneef, M., McCall, M., Burger, D., Gisolf, E.H., Claassen, M., Hassing, R.J., Beest, G. ter, van Bentum, P.H.M., Gelling, M., Neijland, Y., Swanink, C.M.A., Velderman, M. Klein, van Lelyveld, S.F.L., Soetekouw, R., van der Prijt, L.M.M., van der Swaluw, J., Kalpoe, J.S., Wagemakers, A., Vahidnia, A., Lauw, F.N., Verhagen, D.W.M., van Wijk, M., Bierman, W.F.W., Bakker, M., van Bentum, R.A., van den Boomgaard, M.A., Kleinnijenhuis, J., Kloeze, E., Middel, A., Postma, D.F., Schenk, H.M., Stienstra, Y., Wouthuyzen-Bakker, M., Boonstra, A., de Jonge, H., Maerman, M.M.M., de Weerd, D.A., van Eije, K.J., Knoester, M., van Leer-Buter, C.C., Niesters, H.G.M., T.Mudrikova, Barth, R.E., Bruns, A.H.W., Ellerbroek, P.M., Hensgens, M.P.M., Oosterheert, J.J., Schadd, E.M., Verbon, A., van Welzen, B.J., Berends, H., Santen, B.M.G. Griffioen-van, de Kroon, I., Lunel, F.M. Verduyn, Wensing, A.M.J., Zaheri, S., Boyd, A.C., Bezemer, D.O., van Sighem, A.I., Smit, C., Hillebregt, M.M.J., Woudstra, T.J., Rutkens, T., Bergsma, D., Brétin, N.M., Lelivelt, K.J., van de Sande, L., van der Vliet, K.M. Visser.S.T., Paling, F., de Groot-Berndsen, L.G.M., van den Akker, M., Alexander, R., Bakker, Y., El Berkaoui, A., Bezemer-Goedhart, M., Djoechro, E.A., Groters, M., Koster, L.E., Lodewijk, C.R.E., Lucas, E.G.A., Munjishvili, L., Peeck, B.M., Ree, C.M.J., Regtop, R., van Rijk, A.F., Ruijs-Tiggelman, Y.M.C., Schnörr, P.P., Schoorl, M.J.C., Tuijn, E.M., Veenenberg, D.P., Witte, E.C.M., Karpov, I., Losso, M., Lundgren, J., Rockstroh, J., Aho, I., Rasmussen, L.D., Novak, P., Pradier, C., Chkhartishvili, N., Matulionyte, R., Oprea, C., Kowalska, J.D., Begovac, J., Miró, J.M., Guaraldi, G., Paredes, R., Peters, L., Larsen, J.F., Neesgaard, B., Jaschinski, N., Fursa, O., Raben, D., Kristensen, D., Fischer, A.H., Jensen, S.K., Elsing, T.W., Gardizi, M., Mocroft, A., Phillips, A., Reekie, J., Cozzi-Lepri, A., Pelchen-Matthews, A., Roen, A., Tusch, E.S., Bannister, W., Bellecave, P., Blanco, P., Bonnet, F., Bouchet, S., Breilh, D., Cazanave, C., Desjardin, S., Gaborieau, V., Gimbert, A., Hessamfar, M., Lacaze-Buzy, L., Lacoste, D., Lafon, M.E., Lazaro, E., Leleux, O., Le Marec, F., Le Moal, G., Malvy, D., Marchand, L., Mercié, P., Neau, D., Pellegrin, I., Perrier, A., Petrov-Sanchez, V., Vareil, M.O., Wittkop, L., Bernard, N., Chaussade, D. Bronnimann H., Dondia, D., Duffau, P., Faure, I., Morlat, P., Mériglier, E., Paccalin, F., Riebero, E., Rivoisy, C., Vandenhende, M.A., Barthod, L., Dauchy, F.A., Desclaux, A., Ducours, M., Dutronc, H., Duvignaud, A., Leitao, J., Lescure, M., Nguyen, D., Pistone, T., Puges, M., Wirth, G., Courtault, C., Camou, F., Greib, C., Pellegrin, J.L., Rivière, E., Viallard, J.F., Imbert, Y., Thierry-Mieg, M., Rispal, P., Caubet, O., Ferrand, H., Tchamgoué, S., Farbos, S., Wille, H., Andre, K., Caunegre, L., Gerard, Y., Osorio-Perez, F., Chossat, I., Iles, G., Labasse-Depis, M., Lacassin, F., Barret, A., Castan, B., Koffi, J., Rouanes, N., Saunier, A., Zabbe, J.B., Dumondin, G., Beraud, G., Catroux, M., Garcia, M., Giraud, V., Martellosio, J.P., Roblot, F., Pasdeloup, T., Riché, A., Grosset, M., Males, S., Bell, C. Ngo, Carpentier, C., Bellecave, Virology P., Tumiotto, C., Miremeont-Salamé, G., Arma, D., Arnou, G., Blaizeau, M.J., Camps, P., Decoin, M., Delveaux, S., Diarra, F., Gabrea, L., Lawson-Ayayi, S., Lenaud, E., Plainchamps, D., Pougetoux, A., Uwamaliya, B., Zara, K., Conte, V., Gapillout, M., Surial, Bernard, Ramírez Mena, Adrià, Roumet, Marie, Limacher, Andreas, Smit, Colette, Leleux, Olivier, Mocroft, Amanda, van der Valk, Marc, Bonnet, Fabrice, Peters, Lars, Rockstroh, Jürgen K., Günthard, Huldrych F., Berzigotti, Annalisa, Rauch, Andri, and Wandeler, Gilles

Published
2023
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7. The microbiological diagnosis of tuberculous meningitis of Haydarpasa-1 study

Author

Erdem, H., Ozturk-Engin, D., Elaldi, N., Gulsun, S., Sengoz, G., Crisan, A., Johansen, I.S., Inan, A., Nechifor, M., Al-Mahdawi, A., Civljak, R., Ozguler, M., Savic, B., Ceran, N., Cacopardo, B., Inal, A.S., Namiduru, M., Dayan, S., Kayabas, U., Parlak, E., Khalifa, A., Kursun, E., Sipahi, O.R., Yemisen, M., Akbulut, A., Bitirgen, M., Dulovic, O., Kandemir, B., Luca, C., Parlak, M., Stahl, J.P., Pehlivanoglu, F., Simeon, S., Ulu-Kilic, A., Yasar, K., Yilmaz, G., Yilmaz, E., Beovic, B., Catroux, M., Lakatos, B., Sunbul, M., Oncul, O., Alabay, S., Sahin-Horasan, E., Kose, S., Shehata, G., Andre, K., Alp, A., Ćosic, G., Gul, H. Cem, Karakas, A., Chadapaud, S., Hansmann, Y., Harxhi, A., Kirova, V., Masse-Chabredier, I., Oncu, S., Sener, A., Tekin, R., Deveci, O., Karabay, O., and Agalar, C.

Published
2014
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8. The microbiological diagnosis of tuberculous meningitis: results of Haydarpasa-1 study

Author

Erdem, H., Ozturk-Engin, D., Elaldi, N., Gulsun, S., Sengoz, G., Crisan, A., Johansen, I. S., Inan, A., Nechifor, M., Al-Mahdawi, A., Civljak, R., Ozguler, M., Savic, B., Ceran, N., Cacopardo, B., Inal, A. S., Namiduru, M., Dayan, S., Kayabas, U., Parlak, E., Khalifa, A., Kursun, E., Sipahi, O. R., Yemisen, M., Akbulut, A., Bitirgen, M., Dulovic, O., Kandemir, B., Luca, C., Parlak, M., Stahl, J. P., Pehlivanoglu, F., Simeon, S., Ulu-Kilic, A., Yasar, K., Yilmaz, G., Yilmaz, E., Beovic, B., Catroux, M., Lakatos, B., Sunbul, M., Oncul, O., Alabay, S., Sahin-Horasan, E., Kose, S., Shehata, G., Andre, K., Alp, A., Ćosić, G., Cem Gul, H., Karakas, A., Chadapaud, S., Hansmann, Y., Harxhi, A., Kirova, V., Masse-Chabredier, I., Oncu, S., Sener, A., Tekin, R., Deveci, O., Karabay, O., Agalar, C., and Allerberger, F.

Published
2014
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9. Poolage des prélèvements pharyngés, anaux et urinaires pour la détection de Chlamydia trachomatis (Ct), Neisseria gonorrhoeae (Ng) et Mycoplasma genitalium (Mg) par PCR multiplex chez les HSH : étude multicentrique ISTPOOL

Author

Beby-Defaux, A., primary, Le Moal, G., additional, Hocqueloux, L., additional, Sunder, S., additional, Catroux, M., additional, Perfezou, P., additional, Gras, G., additional, Lanotte, P., additional, Garcia, M., additional, and Prazuck, T., additional

Published
2020
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16. Central nervous system infections in the absence of cerebrospinal fluid pleocytosis

Author

Erdem, H., Ozturk-Engin, D., Cag, Y., Senbayrak, S., Inan, A., Kazak, E., Savasci, U., Elaldi, N., Vahaboglu, H., Hasbun, R., Nechifor, M., Tireli, H., Kilicoglu, G., Defres, S., Gulsun, S., Ceran, N., Crisan, A., Johansen, I.S., Namiduru, M., Dayan, S., Kayabas, U., Parlak, E., Khalifa, A., Kursun, E., Sipahi, O.R., Yemisen, M., Akbulut, A., Bitirgen, M., Popovic, N., Kandemir, B., Luca, C., Parlak, M., Stahl, J.P., Pehlivanoglu, F., Simeon, S., Ulu-Kilic, A., Yasar, K., Yilmaz, G., Yilmaz, E., Beovic, B., Catroux, M., Lakatos, B., Sunbul, M., Oncul, O., Alabay, S., Sahin-Horasan, E., Kose, S., Shehata, G., Andre, K., Dragovac, G., Gul, H.C., Karakas, A., Chadapaud, S., Hansmann, Y., Harxhi, A., Kirova, V., Masse-Chabredier, I., Oncu, S., Sener, A., Tekin, R., Deveci, O., Ozkaya, H.D., Karabay, O., Agalar, C., Gencer, S., Karahocagil, M.K., Karsen, H., Kaya, S., Pekok, A.U., Celen, M.K., Deniz, S., Ulug, M., Demirdal, T., Guven, T., Bolukcu, S., Avci, M., Nayman-Alpat, S., Yaşar, K., Pehlivanoʇlu, F., Ates-Guler, S., Mutlu-Yilmaz, E., Tosun, S., Sirmatel, F., Batirel, A., Öztoprak, N., Kadanali, A., Turgut, H., Baran, A.I., Karaahmetoglu, G., Sunnetcioglu, M., Haykir-Solay, A., Denk, A., Ayaz, C., Gorenek, L., Larsen, L., Poljak, M., Barsic, B., Argemi, X., Sørensen, S.M., Bohr, A.L., Tattevin, P., Gunst, J.D., Baštáková, L., Jereb, M., Chehri, M., Beraud, G., Del Vecchio, R.F., Maresca, M., Yilmaz, H., Sharif-Yakan, A., Kanj, S.S., Korkmaz, F., Komur, S., Coskuner, S.A., Ince, N., Akkoyunlu, Y., Halac, G., Nemli, S.A., Ak, O., Gunduz, A., Gozel, M.G., Hatipoglu, M., Cicek-Senturk, G., Akcam, F.Z., Inkaya, A.C., Sagmak-Tartar, A., Ersoy, Y., Tuncer-Ertem, G., Balkan, I.I., Cetin, B., Ersoz, G., Ozgunes, N., Yesilkaya, A., Erturk, A., Gundes, S., Turhan, V., Yalci, A., Aydin, E., Diktas, H., Ulcay, A., Seyman, D., and Leblebicioglu, H.

Subjects
protein cerebrospinal fluid level, Male, pleocytosis, Meningitis, Pneumococcal, Leukocytosis, herpes simplex encephalitis, CSF, Leukocyte, brucella meningitis, Article, cerebrospinal fluid, clinical feature, female, Central Nervous System Infections, tuberculous meningitis, Tuberculosis, Meningeal, central nervous system infection, middle aged, neurosyphilis, Encephalitis, Humans, pathology, Meningitis, human, pneumococcal meningitis
Abstract

Previous multicenter/multinational studies were evaluated to determine the frequency of the absence of cerebrospinal fluid pleocytosis in patients with central nervous system infections, as well as the clinical impact of this condition. It was found that 18% of neurosyphilis, 7.9% of herpetic meningoencephalitis, 3% of tuberculous meningitis, 1.7% of Brucella meningitis, and 0.2% of pneumococcal meningitis cases did not display cerebrospinal fluid pleocytosis. Most patients were not immunosuppressed. Patients without pleocytosis had a high rate of unfavorable outcomes and thus this condition should not be underestimated. © 2017 The Author(s)

Published
2017

21. Tuberculous and brucellosis meningitis differential diagnosis

Author

Erdem H, Senbayrak S, Gencer S, Hasbun R, Karahocagil MK, Sengoz G, Karsen H, Kaya S, Civljak R, Inal AS, Pekok AU, Celen MK, Deniz S, Ulug M, Demirdal T, Namiduru M, Tekin R, Guven T, Parlak E, Bolukcu S, Avci M, Sipahi OR, Nayman-Alpat S, Yaşar K, Pehlivanoğlu F, Yilmaz E, Ates-Guler S, Mutlu-Yilmaz E, Tosun S, Sirmatel F, Şahin-Horasan E, Akbulut A, Johansen IS, Simeon S, Batirel A, Öztoprak N, Cag Y, Catroux M, Hansmann Y, Kadanali A, Turgut H, Baran AI, Gul HC, Karaahmetoglu G, and Sunnetcioglu

Subjects
Adult, Brucellosis/*diagnosis/epidemiology, Diagnosis, Differential, Female, Humans, Male, Meningitis, Bacterial/diagnosis/epidemiology, Middle Aged, Retrospective Studies, Tuberculosis, Meningeal/*diagnosis/epidemiology, Turkey, Young Adult, urologic and male genital diseases
Abstract

BACKGROUND: The Thwaites and Lancet scoring systems have been used in the rapid diagnosis of tuberculous meningitis (TBM). However, brucellar meningoencephalitis (BME) has similar characteristics with TBM. The ultimate aim of this study is to infer data to see if BME should be included in the differential diagnosis of TBM when these two systems suggest the presence of TBM. METHOD: BME and TBM patients from 35 tertiary hospitals were included in this study. Overall 294 adult patients with BME and 190 patients with TBM were enrolled. All patients involved in the study had microbiological confirmation for either TBM or BME. Finally, the Thwaites and Lancet scoring systems were assessed in both groups. RESULTS: The Thwaites scoring system more frequently predicted BME cases (n = 292, 99.3%) compared to the TBM group (n = 182, 95.8%) (P = 0.017). According to the Lancet scoring system, the mean scores for BME and TBM were 9.43 ± 1.71 and 11.45 ± 3.01, respectively (P < 0.001). In addition, TBM cases were classified into "probable" category more significantly compared to BME cases, and BME cases were categorized into the "possible" category more frequently. CONCLUSIONS: When the Thwaites or Lancet scoring systems indicate TBM, brucellar etiology should also be taken into consideration particularly in endemic countries.

Published
2015

27. Hamsi scoring in the prediction of unfavorable outcomes from tuberculous meningitis: results of Haydarpasa-II study

Author

Sukran Kose, Branislava Savic, Selma Alabay, Emine Parlak, Recep Tekin, Ayhan Akbulut, Gulden Yilmaz, Haluk Vahaboglu, Nataša Popović, Özcan Deveci, Akram Al-Mahdawi, Hanefi Cem Gul, Canan Agalar, Serkan Oncu, Soline Simeon, Seniha Senbayrak, Hulya Tireli, Mehmet Bitirgen, Catalina Luca, Bahar Kandemir, Sylviane Defres, Oguz Karabay, Oğuz Reşat Sipahi, Ghaydaa A. Shehata, Alper Şener, Aysegul Ulu-Kilic, Saim Dayan, Nazif Elaldi, Mihai Nechifor, Ayşe Seza Inal, Mucahit Yemisen, Filiz Pehlivanoglu, Asuman Inan, B. Lakatos, Mustafa Namiduru, Nurgul Ceran, Muge Ozguler, Alexandru Crisan, Ahmet Karakaş, Jean-Paul Stahl, Gamze Kilicoglu, Mustafa Sunbul, Elif Sahin-Horasan, Hakan Erdem, Gorana Dragovac, Valerija Kirova, Ahmad Khalifa, Emel Yilmaz, Bruno Cacopardo, Gonul Sengoz, Hacer Deniz Ozkaya, Ebru Kurşun, Serda Gulsun, Rok Čivljak, Bojana Beović, Melanie Catroux, Oral Oncul, Isabelle Masse-Chabredier, Isik Somuncu Johansen, Katell Andre, Kadriye Kart Yaşar, Derya Ozturk-Engin, Uner Kayabas, Stéphane Chadapaud, Mehmet Parlak, Arjan Harxhi, Yves Hansmann, Ondokuz Mayıs Üniversitesi, Çukurova Üniversitesi, [Erdem, Hakan -- Oncul, Oral] GATA Haydarpasa Training Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Erdem, Hakan] GATA Haydarpasa AH, Enfeksiyon Hastaliklari Servisi, Istanbul, Turkey -- [Ozturk-Engin, Derya -- Inan, Asuman -- Ceran, Nurgul -- Senbayrak, Seniha] Haydarpasa Numune Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Tireli, Hulya] Haydarpasa Numune Training & Res Hosp, Dept Neurol, Istanbul, Turkey -- [Kilicoglu, Gamze] Haydarpasa Numune Training & Res Hosp, Dept Radiol, Istanbul, Turkey -- [Defres, Sylviane] Univ Liverpool, Inst Infect & Global Hlth, Liverpool L69 3BX, Merseyside, England -- [Defres, Sylviane] Royal Liverpool & Broadgreen Univ Hosp NHS Trust, Trop Infect Dis Unit, Liverpool, Merseyside, England -- [Gulsun, Serda] Diyarbakir Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Diyarbakir, Turkey -- [Sengoz, Gonul -- Pehlivanoglu, Filiz] Haseki Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Crisan, Alexandru] Victor Babes Univ Med & Pharm, Dept Infect Dis, Timisoara, Romania -- [Johansen, Isik Somuncu] Odense Univ Hosp, Dept Infect Dis Q, DK-5000 Odense, Denmark -- [Nechifor, Mihai] Gr T Popa Univ Med & Pharm, Dept Pharmacol, Iasi, Romania -- [Al-Mahdawi, Akram] Baghdad Teaching Hosp, Dept Neurol, Baghdad, Iraq -- [Civljak, Rok] Univ Zagreb, Sch Med, Dr Fran Mihaljev Univ Hosp Infect Dis, Dept Infect Dis, Zagreb 41000, Croatia -- [Ozguler, Muge -- Akbulut, Ayhan] Firat Univ, Sch Med, Dept Infect Dis & Clin Microbiol, TR-23169 Elazig, Turkey -- [Savic, Branislava] Univ Belgrade, Fac Med, Inst Microbiol & Immunol, Natl Reference Lab TB, Belgrade, Serbia -- [Cacopardo, Bruno] Univ Catania, Dept Clin & Mol Biomed, Infect Dis Sect, Catania, Italy -- [Inal, Ayse Seza] Cukurova Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Adana, Turkey -- [Namiduru, Mustafa] Gaziantep Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Gaziantep, Turkey -- [Dayan, Saim -- Tekin, Recep -- Deveci, Ozcan] Dicle Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Diyarbakir, Turkey -- [Kayabas, Uner] Inonu Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Malatya, Turkey -- [Parlak, Emine -- Parlak, Mehmet] Ataturk Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Erzurum, Turkey -- [Khalifa, Ahmad] Damascus Hosp, Dept Neurol, Damascus, Syria -- [Kursun, Ebru] Baskent Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Adana, Turkey -- [Sipahi, Oguz Resat] Ege Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Izmir, Turkey -- [Yemisen, Mucahit] Istanbul Univ, Cerrahpasa Med Sch, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Bitirgen, Mehmet -- Kandemir, Bahar] Necmettin Erbakan Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Konya, Turkey -- [Popovic, Natasa] Clin Ctr Serbia, Clin Infect & Trop Dis, Belgrade, Serbia -- [Luca, Catalina] Gr T Popa Univ Med & Pharm, Dept Infect Dis, Iasi, Romania -- [Stahl, Jean Paul] Univ Grenoble 1, Dept Infect Dis, Grenoble, France -- [Stahl, Jean Paul] Univ Hosp Grenoble, Grenoble, France -- [Simeon, Soline] Univ Hosp Pontchaillou, Dept Infect & Trop Dis, Rennes, France -- [Ulu-Kilic, Aysegul -- Alabay, Selma] Erciyes Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Kayseri, Turkey -- [Yasar, Kadriye] Bakirkoy Dr Sadi Konuk Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Yilmaz, Gulden] Ankara Univ, Sch Med, Dept Infect Dis & Clin Microbiol, TR-06100 Ankara, Turkey -- [Yilmaz, Emel] Uludag Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Bursa, Turkey -- [Beovic, Bojana] Univ Med Ctr, Dept Infect Dis, Ljubljana, Slovenia -- [Catroux, Melanie] Univ Poitiers Hosp, Dept Infect Dis, Poitiers, France -- [Lakatos, Botond] St Laszlo Hosp, Dept Infect Dis, Budapest, Hungary -- [Sunbul, Mustafa] Ondokuz Mayis Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Samsun, Turkey -- [Sahin-Horasan, Elif] Mersin Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Kose, Sukran] Tepecik Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Izmir, Turkey -- [Shehata, Ghaydaa] Assiut Univ Hosp, Dept Neurol & Psychiat, Assiut, Egypt -- [Andre, Katell] Dax Hosp, Dept Infect Dis, Dax, France -- [Dragovac, Gorana] Univ Novi Sad, Fac Med, IPH Vojvodina, Dept Prevent & Control Dis, Novi Sad 21000, Serbia -- [Gul, Hanefi Cem -- Karakas, Ahmet] Gulhane Mil Med Acad, Dept Infect Dis & Clin Microbiol, Ankara, Turkey -- [Chadapaud, Stephane] Marie Jose Treffot Hosp, Dept Infect Dis, Hyeres, France -- [Hansmann, Yves] Univ Hosp, Dept Infect Dis, Strasbourg, France -- [Harxhi, Arjan] Univ Hosp Ctr Tirana, Infect Dis Serv, Tirana, Albania -- [Kirova, Valerija] Univ Clin Infect Dis & Febrile Condit, Skopje, Macedonia -- [Masse-Chabredier, Isabelle] Aurillac Hosp, Dept Infect Dis, Aurillac, France -- [Oncu, Serkan] Adnan Menderes Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Aydin, Turkey -- [Sener, Alper] Onsekiz Mart Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Canakkale, Turkey -- [Elaldi, Nazif] Cumhuriyet Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Sivas, Turkey -- [Ozkaya, Hacer Deniz] Karsiyaka State Hosp, Dept Infect Dis & Clin Microbiol, Izmir, Turkey -- [Karabay, Oguz] Sakarya Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Sakarya, Turkey -- [Agalar, Canan] Fatih Sultan Mehmet Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Vahaboglu, Haluk] Medeniyet Univ, Goztepe Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey, Inal, Ayse Seza -- 0000-0002-1182-7164, Ghaydaa, Shehata -- 0000-0002-3631-893X, Civljak, Rok -- 0000-0001-8766-7438, Karabay, Oguz -- 0000-0003-0502-432X, VAHABOGLU, Haluk -- 0000-0001-8217-1767, Karakas, Ahmet -- 0000-0002-0553-8454, Elaldi, Nazif -- 0000-0002-9515-770X, johansen, isik somuncu -- 0000-0002-2189-9823, Stahl, Jean Paul -- 0000-0002-0086-3557, Kart Yasar, Kadriye -- 0000-0003-2963-4894, Erdem, H, Ozturk-Engin, D, Tireli, H, Kilicoglu, G, Defres, S, Gulsun, S, Sengoz, G, Crisan, A, Johansen, IS, Inan, A, Nechifor, M, Al-Mahdawi, A, Civljak, R, Ozguler, M, Savic, B, Ceran, N, Cacopardo, B, Inal, AS, Namiduru, M, Dayan, S, Kayabas, U, Parlak, E, Khalifa, A, Kursun, E, Sipahi, OR, Yemisen, M, Akbulut, A, Bitirgen, M, Popovic, N, Kandemir, B, Luca, C, Parlak, M, Stahl, JP, Pehlivanoglu, F, Simeon, S, Ulu-Kilic, A, Yasar, K, Yilmaz, G, Yilmaz, E, Beovic, B, Catroux, M, Lakatos, B, Sunbul, M, Oncul, O, Alabay, S, Sahin-Horasan, E, Kose, S, Shehata, G, Andre, K, Dragovac, G, Gul, HC, Karakas, A, Chadapaud, S, Hansmann, Y, Harxhi, A, Kirova, V, Masse-Chabredier, I, Oncu, S, Sener, A, Tekin, R, Elaldi, N, Deveci, O, Ozkaya, HD, Karabay, O, Senbayrak, S, Agalar, C, Vahaboglu, H, Sakarya Üniversitesi/Tıp Fakültesi/Dahili Tıp Bilimleri Bölümü, and Parlak, Erkan

Subjects
Adult, Male, Pediatrics, medicine.medical_specialty, International Cooperation, Logistic regression, Sensitivity and Specificity, Severity of Illness Index, Tuberculous meningitis, Cohort Studies, Sequelae, Predictive Value of Tests, Surveys and Questionnaires, Outcome Assessment, Health Care, Severity of illness, medicine, Tuberculosis, Meningitis, Death, Outcome, Sequela, Humans, Tuberculosis, Meningitis, Death, Outcome, Sequelae, Clinical Trials as Topic, business.industry, Middle Aged, medicine.disease, Hydrocephalus, Logistic Models, Treatment Outcome, Neurology, Tuberculosis, Meningeal, Predictive value of tests, Female, Neurosciences & Neurology, Neurology (clinical), Nervous System Diseases, business, Cohort study
Abstract

WOS: 000353295400011, PubMed ID: 25634680, Predicting unfavorable outcome is of paramount importance in clinical decision making. Accordingly, we designed this multinational study, which provided the largest case series of tuberculous meningitis (TBM). 43 centers from 14 countries (Albania, Croatia, Denmark, Egypt, France, Hungary, Iraq, Italy, Macedonia, Romania, Serbia, Slovenia, Syria, Turkey) submitted data of microbiologically confirmed TBM patients hospitalized between 2000 and 2012. Unfavorable outcome was defined as survival with significant sequela or death. In developing our index, binary logistic regression models were constructed via 200 replicates of database by bootstrap resampling methodology. The final model was built according to the selection frequencies of variables. The severity scale included variables with arbitrary scores proportional to predictive powers of terms in the final model. The final model was internally validated by bootstrap resampling. A total of 507 patients' data were submitted among which 165 had unfavorable outcome. Eighty-six patients died while 119 had different neurological sequelae in 79 (16 %) patients. The full model included 13 variables. Age, nausea, vomiting, altered consciousness, hydrocephalus, vasculitis, immunosuppression, diabetes mellitus and neurological deficit remained in the final model. Scores 1-3 were assigned to the variables in the severity scale, which included scores of 1-6. The distribution of mortality for the scores 1-6 was 3.4, 8.2, 20.6, 31, 30 and 40.1 %, respectively. Altered consciousness, diabetes mellitus, immunosuppression, neurological deficits, hydrocephalus, and vasculitis predicted the unfavorable outcome in the scoring and the cumulative score provided a linear estimation of prognosis.

Published
2015
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28. The microbiological diagnosis of tuberculous meningitis: results of Haydarpasa-1 study

Author

Ebru Kurşun, Derya Ozturk-Engin, Branislava Savic, Rok Čivljak, Bojana Beović, Mehmet Parlak, Elif Sahin-Horasan, Oguz Karabay, Selma Alabay, Emine Parlak, Esmeray Mutlu Yilmaz, Ahmad Khalifa, Uner Kayabas, Saim Dayan, Hakan Erdem, Sukran Kose, V Kirova, Jean-Paul Stahl, Gonul Sengoz, Bruno Cacopardo, Canan Agalar, Arjan Harxhi, Gorana Cosic, Yves Hansmann, Catalina Luca, Alpaslan Alp, Aysegul Ulu-Kilic, Mehmet Bitirgen, Kadriye Kart Yaşar, Özcan Deveci, Isik Somuncu Johansen, Mustafa Namiduru, Katell Andre, I Masse-Chabredier, H. Cem Gul, Serkan Oncu, Mustafa Sunbul, Akram Al-Mahdawi, Ayhan Akbulut, Gulden Yilmaz, Serda Gulsun, Oral Oncul, S Chadapaud, Soline Simeon, Melanie Catroux, Oğuz Reşat Sipahi, Recep Tekin, Ayşe Seza Inal, Mucahit Yemisen, Filiz Pehlivanoglu, Olga Dulovic, Asuman Inan, B. Lakatos, Bahar Kandemir, Nazif Elaldi, Ghaydaa A. Shehata, Ahmet Karakaş, Alper Şener, Mihai Nechifor, Muge Ozguler, Alexandru Crisan, Nurgul Ceran, Çukurova Üniversitesi, OMÜ, Ege Üniversitesi, [Erdem, H. -- Oncul, O.] GATA Haydarpasa Training Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Ozturk-Engin, D. -- Inan, A. -- Ceran, N.] Haydarpasa Numune Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Elaldi, N.] Cumhuriyet Univ Sch Med, Dept Infect Dis & Clin Microbiol, Sivas, Turkey -- [Gulsun, S.] Diyarbakir Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Diyarbakir, Turkey -- [Sengoz, G. -- Pehlivanoglu, F.] Haseki Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Crisan, A.] Victor Babes Univ Med & Pharm, Dept Infect Dis, Timisoara, Romania -- [Johansen, I. S.] Odense Univ Hosp, Dept Infect Dis Q, DK-5000 Odense, Denmark -- [Nechifor, M.] Gr T Popa Univ Med & Pharm, Dept Pharmacol, Iasi, Romania -- [Al-Mahdawi, A.] Baghdad Teaching Hosp, Dept Neurol, Baghdad, Iraq -- [Civljak, R.] Univ Zagreb Sch Med, Dr Fran Mihaljev Univ Hosp Infect Dis, Dept Infect Dis, Zagreb, Croatia -- [Ozguler, M. -- Akbulut, A.] Firat Univ Sch Med, Dept Infect Dis & Clin Microbiol, Elazig, Turkey -- [Savic, B.] Univ Belgrade, Inst Microbiol & Immunol, Natl Reference Lab TB, Fac Med, Belgrade, Serbia -- [Cacopardo, B.] Univ Catania, Infect Dis Sect, Dept Clin & Mol Biomed, Catania, Italy -- [Inal, A. S.] Cukurova Univ Sch Med, Dept Infect Dis & Clin Microbiol, Adana, Turkey -- [Namiduru, M.] Gaziantep Univ Sch Med, Dept Infect Dis & Clin Microbiol, Gaziantep, Turkey -- [Dayan, S. -- Tekin, R. -- Deveci, O.] Dicle Univ Sch Med, Dept Infect Dis & Clin Microbiol, Diyarbakir, Turkey -- [Kayabas, U.] Inonu Univ Sch Med, Dept Infect Dis & Clin Microbiol, Malatya, Turkey -- [Parlak, E. -- Parlak, M.] Ataturk Univ Sch Med, Dept Infect Dis & Clin Microbiol, Erzurum, Turkey -- [Khalifa, A.] Damascus Hosp, Dept Neurol, Damascus, Syria -- [Kursun, E.] Baskent Univ Sch Med, Dept Infect Dis & Clin Microbiol, Adana, Turkey -- [Sipahi, O. R.] Ege Univ Sch Med, Dept Infect Dis & Clin Microbiol, Izmir, Turkey -- [Yemisen, M.] Istanbul Univ Cerrahpasa Sch Med, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Bitirgen, M. -- Kandemir, B.] Necmettin Erbakan Univ Sch Med, Dept Infect Dis & Clin Microbiol, Konya, Turkey -- [Dulovic, O.] Univ Belgrade, Clin Infect & Trop Dis, Clin Ctr Serbia, Fac Med, Belgrade, Serbia -- [Luca, C.] Gr T Popa Univ Med & Pharm, Dept Infect Dis, Iasi, Romania -- [Stahl, J. P.] Joseph Fourier Univ & Univ Hosp Grenoble, Dept Infect Dis, Grenoble, France -- [Simeon, S.] Univ Hosp Pontchaillou, Dept Infect & Trop Dis, Rennes, France -- [Ulu-Kilic, A. -- Alabay, S.] Erciyes Univ Sch Med, Dept Infect Dis & Clin Microbiol, Kayseri, Turkey -- [Yasar, K.] Bakrkoy Dr Sadi Konuk Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey -- [Yilmaz, G.] Ankara Univ Sch Med, Dept Infect Dis & Clin Microbiol, Ankara, Turkey -- [Yilmaz, E.] Uludag Univ Sch Med, Dept Infect Dis & Clin Microbiol, Bursa, Turkey -- [Beovic, B.] Univ Med Ctr, Dept Infect Dis, Ljubljana, Slovenia -- [Catroux, M.] Univ Poitiers Hosp, Dept Infect Dis, Poitiers, France -- [Lakatos, B.] St Laszlo Hosp, Dept Infect Dis, Budapest, Hungary -- [Sunbul, M.] Ondokuz Mayis Univ Sch Med, Dept Infect Dis & Clin Microbiol, Samsun, Turkey -- [Sahin-Horasan, E.] Mersin Univ Sch Med, Dept Infect Dis & Clin Microbiol, Mersin, Turkey -- [Kose, S.] Tepecik Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Izmir, Turkey -- [Shehata, G.] Assiut Univ Hosp, Dept Neurol & Psychiat, Assiut, Egypt -- [Andre, K.] Dax Hosp, Dept Infect Dis, Dax, France -- [Alp, A.] Hacettepe Univ, Sch Med, Deparment Med Microbiol, Ankara, Turkey -- [Cosic, G.] Univ Novi Sad, Fac Med, Dept Prevent & Control Dis, IPH Vojvodina, Novi Sad, Serbia -- [Gul, H. Cem -- Karakas, A.] Gulhane Mil Med Acad, Dept Infect Dis & Clin Microbiol, Ankara, Turkey -- [Chadapaud, S.] Marie Jose Treffot Hosp, Dept Infect Dis, Hyeres, France -- [Hansmann, Y.] Univ Hosp, Dept Infect Dis, Strasbourg, France -- [Harxhi, A.] Univ Hosp Ctr Tirana, Infect Dis Serv, Tirana, Albania -- [Kirova, V.] Univ Clin Infect Dis & Febrile Condit, Skopje, Macedonia -- [Masse-Chabredier, I.] Aurillac Hosp, Dept Infect Dis, Aurillac, France -- [Oncu, S.] Adnan Menderes Univ Sch Med, Dept Infect Dis & Clin Microbiol, Aydin, Turkey -- [Sener, A.] Onsekiz Mart Univ Sch Med, Dept Infect Dis & Clin Microbiol, Canakkale, Turkey -- [Karabay, O.] Sakarya Univ Sch Med, Dept Infect Dis & Clin Microbiol, Sakarya, Turkey -- [Agalar, C.] Fatih Sultan Mehmet Training & Res Hosp, Dept Infect Dis & Clin Microbiol, Istanbul, Turkey, Inal, Ayse Seza -- 0000-0002-1182-7164, Ghaydaa, Shehata -- 0000-0002-3631-893X, johansen, isik somuncu -- 0000-0002-2189-9823, Karabay, Oguz -- 0000-0003-0502-432X, Karakas, Ahmet -- 0000-0002-0553-8454, Kart Yasar, Kadriye -- 0000-0003-2963-4894, Stahl, Jean Paul -- 0000-0002-0086-3557, Elaldi, Nazif -- 0000-0002-9515-770X, ALP, ALPASLAN -- 0000-0001-7856-7590, and Civljak, Rok -- 0000-0001-8766-7438

Subjects
Microbiology (medical), Adult, Male, medicine.medical_specialty, Adolescent, QUANTIFERON-TB GOLD, diagnosis, Adenosine Deaminase, Culture, Tuberculous meningitis, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Internal medicine, Diagnosis, medicine, Tuberculosis, Humans, Meningitis, 030212 general & internal medicine, Precision Medicine, Aged, Retrospective Studies, culture, meningitis, PCR, tuberculosis, Aged, 80 and over, Bacteriological Techniques, business.industry, General Medicine, Mycobacterium tuberculosis, Middle Aged, medicine.disease, 3. Good health, Surgery, Löwenstein–Jensen medium, Infectious Diseases, Early Diagnosis, Tuberculosis, Meningeal, Positive culture, Female, business, 030217 neurology & neurosurgery, Interferon-gamma Release Tests
Abstract

WOS: 000345825900004, PubMed ID: 24849547, We aimed to provide data on the diagnosis of tuberculous meningitis (TBM) in this largest case series ever reported. The Haydarpasa-1 study involved patients with microbiologically confirmed TBM in Albania, Croatia, Denmark, Egypt, France, Hungary, Iraq, Italy, Macedonia, Romania, Serbia, Slovenia, Syria and Turkey between 2000 and 2012. A positive culture, PCR or Ehrlich-Ziehl-Neelsen staining (EZNs) from the cerebrospinal fluid (CSF) was mandatory for inclusion of meningitis patients. A total of 506 TBM patients were included. The sensitivities of the tests were as follows: interferon- release assay (Quantiferon TB gold in tube) 90.2%, automated culture systems (ACS) 81.8%, Lowenstein Jensen medium (L-J) 72.7%, adenosine deaminase (ADA) 29.9% and EZNs 27.3%. CSF-ACS was superior to CSF L-J culture and CSF-PCR (p

Published
2013
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29. Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID.

Author

Lepoittevin M, Remaury QB, Lévêque N, Thille AW, Brunet T, Salaun K, Catroux M, Pellerin L, Hauet T, and Thuillier R

Subjects
Humans, Female, Male, Middle Aged, Aged, SARS-CoV-2 isolation & purification, SARS-CoV-2 metabolism, Adult, Prognosis, Algorithms, ROC Curve, COVID-19 diagnosis, COVID-19 metabolism, COVID-19 virology, Machine Learning, Metabolomics methods, Severity of Illness Index
Abstract

The COVID-19 outbreak caused saturations of hospitals, highlighting the importance of early patient triage to optimize resource prioritization. Herein, our objective was to test if high definition metabolomics, combined with ML, can improve prognostication and triage performance over standard clinical parameters using COVID infection as an example. Using high resolution mass spectrometry, we obtained metabolomics profiles of patients and combined them with clinical parameters to design machine learning (ML) algorithms predicting severity (herein determined as the need for mechanical ventilation during patient care). A total of 64 PCR-positive COVID patients at the Poitiers CHU were recruited. Clinical and metabolomics investigations were conducted 8 days after the onset of symptoms. We show that standard clinical parameters could predict severity with good performance (AUC of the ROC curve: 0.85), using SpO2, first respiratory rate, Horowitz quotient and age as the most important variables. However, the performance of the prediction was substantially improved by the use of metabolomics (AUC = 0.92). Our small-scale study demonstrates that metabolomics can improve the performance of diagnosis and prognosis algorithms, and thus be a key player in the future discovery of new biological signals. This technique is easily deployable in the clinic, and combined with machine learning, it can help design the mathematical models needed to advance towards personalized medicine.

Published
2024
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30. Pooling Rectal, Pharyngeal, and Urine Samples to Detect Neisseria gonorrhoeae , Chlamydia trachomatis , and Mycoplasma genitalium Using Multiplex Polymerase Chain Reaction Is as Effective as Single-Site Testing for Men Who Have Sex With Men.

Author

Prazuck T, Lanotte P, Le Moal G, Hocqueloux L, Sunder S, Catroux M, Garcia M, Perfezou P, Gras G, Plouzeau C, Lévêque N, and Beby-Defaux A

Abstract

Background: Screening for Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) at pharyngeal, urogenital, and anorectal sites is recommended for men who have sex with men (MSM). Pooling samples is a promising technique, but no data are available when pooled screening also includes Mycoplasma genitalium (MG). The main objective of this study was to examine the sensitivity of pooled samples for detecting CT, NG, and MG in MSM using nucleic acid amplification versus single-site testing., Methods: In this multicenter study, MSM with a positive result for CT, NG, or MG were recalled to the clinic for treatment and were asked to participate in this study. Separate samples were sent to a central virological department that proceeded to form the pooled samples. Testing was performed using the multiplex real-time polymerase chain reaction Allplex STI Essential Assay (Seegene, Seoul, Korea), which can simultaneously detect 7 pathogens., Results: A total of 130 MSM with at least 1 positive test for CT, NG, or MG were included. A total of 25.4% had a coinfection. The sensitivities of pooled-sample testing were 94.8% for CT, 97.0% for NG, and 92.3% for MG. Pooling failed to detect 8 infections, but pooled-sample analysis missed detecting only samples with a low bacterial load (cycle threshold >35)., Conclusions: Pooling samples from MSM to detect CT, NG, and MG is as sensitive as individual-site testing for these 3 pathogens using the Allplex assay. Missed infections with a very low bacterial load could have a low impact on further transmission. Clinical Trials Registration. NCT03568695., (© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)

Published
2022
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31. Efficacy and Safety of Doravirine-Based Regimens in Real Life: A Prospective Monocentric French Study.

Author

Garcia M, Martellosio JP, Giraud V, Béraud G, Catroux M, Roblot F, and Le Moal G

Subjects
Adult, Male, Humans, Middle Aged, Female, Prospective Studies, Anti-HIV Agents therapeutic use, HIV-1, HIV Infections drug therapy
Abstract

Doravirine (DOR) efficacy and safety have been evaluated in adult naive or treated patients starting a DOR-based regimen between September 15, 2019, and December 31, 2020. Medical history and examination, laboratory results, and tolerance were assessed during the 48 weeks of follow-up. Among the 77 patients included, virological control (VC) was noticed for 66 patients at baseline. Median age was 51 years, and 62% were men. The most common reason for initiating a DOR-based therapy was toxicity (44; 67%) and, especially, weight gain. A virological suppression (VS) was maintained in 55 (83%) patients of the VC group and noticed in 9 (82%) of the non-VC patients at week 48, by intention-to-treat analysis. On treatment analysis, 98% and 100% patients achieved VS in the VC and non-VC groups, respectively. The renal and metabolic tolerance were good. DOR-based regimens appear to be a safe and relevant strategy to circumvent drug interactions and drugs with a poor metabolic tolerance profile.

Published
2022
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32. Post-herpetic encephalitis cerebral abscess: Viral reactivation or latency site within central nervous system?

Author

Catroux M, Garcia M, Lévêque N, Page P, Moal GL, Boutolleau D, Roblot F, and Burrel S

Subjects
Central Nervous System, Humans, Male, Retrospective Studies, Brain Abscess, Encephalitis, Herpes Simplex diagnosis, Encephalitis, Herpes Simplex drug therapy, Herpes Simplex
Abstract

Herpetic encephalitis results from central nervous system invasion by herpes simplex virus. We report the case of a man who developed a cerebral abscess fifteen months after initial Herpetic encephalitis. Retrospectively, antiviral should not have been associated with antibiotics during abscess episode, as transcriptomic analysis reported no viral reactivation., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests., (Copyright © 2021 Elsevier Masson SAS. All rights reserved.)

Published
2021
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33. The diagnostic utility of the "Thwaites' system" and "lancet consensus scoring system" in tuberculous vs. non-tuberculous subacute and chronic meningitis: multicenter analysis of 395 adult patients.

Author

Sulaiman T, Medi S, Erdem H, Senbayrak S, Ozturk-Engin D, Inan A, Civljak R, Nechifor M, Akbulut A, Crisan A, Ozguler M, Namiduru M, Savic B, Dulovic O, Pehlivanoglu F, Sengoz G, Yasar K, Inal AS, Parlak E, Johansen IS, Kursun E, Parlak M, Yilmaz E, Yilmaz G, Gul HC, Oncul O, Siméon S, Tattevin P, Ulu-Kilic A, Alabay S, Beovic B, Catroux M, Hansmann Y, Harxhi A, Sener A, Ozkaya HD, Cağ Y, Agalar C, Vahaboglu H, Ugur BK, and Hasbun R

Subjects
AIDS-Related Opportunistic Infections virology, Adolescent, Adult, Aged, Aged, 80 and over, Area Under Curve, Chronic Disease, Cryptococcosis microbiology, Diagnosis, Differential, Female, Humans, Male, Meningitis, Fungal cerebrospinal fluid, Meningitis, Fungal microbiology, Meningitis, Viral cerebrospinal fluid, Meningitis, Viral virology, Middle Aged, Mycobacterium tuberculosis isolation & purification, Retrospective Studies, Sensitivity and Specificity, Tuberculosis, Meningeal cerebrospinal fluid, Tuberculosis, Meningeal microbiology, Young Adult, AIDS-Related Opportunistic Infections diagnosis, Cryptococcosis diagnosis, Cryptococcus neoformans immunology, HIV genetics, Meningitis, Fungal diagnosis, Meningitis, Viral diagnosis, Mycobacterium tuberculosis genetics, Research Design, Tuberculosis, Meningeal diagnosis
Abstract

Background: Tuberculous meningitis (TBM) represents a diagnostic and management challenge to clinicians. The "Thwaites' system" and "Lancet consensus scoring system" are utilized to differentiate TBM from bacterial meningitis but their utility in subacute and chronic meningitis where TBM is an important consideration is unknown., Methods: A multicenter retrospective study of adults with subacute and chronic meningitis, defined by symptoms greater than 5 days and less than 30 days for subacute meningitis (SAM) and greater than 30 days for chronic meningitis (CM). The "Thwaites' system" and "Lancet consensus scoring system" scores and the diagnostic accuracy by sensitivity, specificity, and area under the curve of receiver operating curve (AUC-ROC) were calculated. The "Thwaites' system" and "Lancet consensus scoring system" suggest a high probability of TBM with scores ≤4, and with scores of ≥12, respectively., Results: A total of 395 patients were identified; 313 (79.2%) had subacute and 82 (20.8%) with chronic meningitis. Patients with chronic meningitis were more likely caused by tuberculosis and had higher rates of HIV infection (P < 0.001). A total of 162 patients with TBM and 233 patients with non-TBM had unknown (140, 60.1%), fungal (41, 17.6%), viral (29, 12.4%), miscellaneous (16, 6.7%), and bacterial (7, 3.0%) etiologies. TMB patients were older and presented with lower Glasgow coma scores, lower CSF glucose and higher CSF protein (P < 0.001). Both criteria were able to distinguish TBM from bacterial meningitis; only the Lancet score was able to differentiate TBM from fungal, viral, and unknown etiologies even though significant overlap occurred between the etiologies (P < .001). Both criteria showed poor diagnostic accuracy to distinguish TBM from non-TBM etiologies (AUC-ROC was <. 5), but Lancet consensus scoring system was fair in diagnosing TBM (AUC-ROC was .738), sensitivity of 50%, and specificity of 89.3%., Conclusion: Both criteria can be helpful in distinguishing TBM from bacterial meningitis, but only the Lancet consensus scoring system can help differentiate TBM from meningitis caused by fungal, viral and unknown etiologies even though significant overlap occurs and the overall diagnostic accuracy of both criteria were either poor or fair.

Published
2020
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34. Prevalence and Recovery From Olfactory and Gustatory Dysfunctions in Covid-19 Infection: A Prospective Multicenter Study.

Author

Chary E, Carsuzaa F, Trijolet JP, Capitaine AL, Roncato-Saberan M, Fouet K, Cazenave-Roblot F, Catroux M, Allix-Beguec C, and Dufour X

Subjects
Adult, Aged, Aged, 80 and over, COVID-19, Coronavirus Infections physiopathology, Female, Follow-Up Studies, France epidemiology, Humans, Male, Middle Aged, Olfaction Disorders etiology, Pandemics, Pneumonia, Viral physiopathology, Prevalence, Prospective Studies, SARS-CoV-2, Taste Disorders epidemiology, Taste Disorders etiology, Young Adult, Betacoronavirus, Coronavirus Infections complications, Olfaction Disorders physiopathology, Olfactory Perception physiology, Pneumonia, Viral complications, Recovery of Function, Taste Disorders physiopathology, Taste Perception physiology
Abstract

Background: Covid-19 is defined by an association of multiple symptoms, including frequently reported olfactory and gustatory disorders., Objective: The main purpose of this study was to analyze the prevalence of these neurosensory impairments in patients with Covid-19, and to assess short-term recovery., Methods: We performed a multicenter case series study during the Covid-19 epidemic. All patients presenting a RT-PCR-confirmed SARS-CoV-2 infection were included, whether hospitalized or treated at home. To analyze the prevalence and features of olfactory and gustatory dysfunctions, a phone interview was conducted 5 days after the positive PCR result. The questionnaire was submitted again 10 days later to patients having reported olfactory and gustatory disorders, in order to assess their recovery., Results: 115 patients were included in our study. 81 patients (70%) reported olfactory and gustatory disorders without nasal obstruction or rhinorrhea. These impairments were more frequently reported in the female population, young people, and house-bound patients with mild symptomatic forms. Short-term recovery assessed at Day 15 was complete for 64% of the patients, and incomplete in 33%. Median recovery time was 15 days (4-27 days) after olfactory or gustatory symptom onset., Conclusion: Olfactory and gustatory dysfunctions related to Covid-19 are frequently reported and prevalent in mild symptomatic forms of the disease. Recovery in most cases seems rapid and complete.

Published
2020
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38. Characteristics and Management of IgA Vasculitis (Henoch-Schönlein) in Adults: Data From 260 Patients Included in a French Multicenter Retrospective Survey.

Author

Audemard-Verger A, Terrier B, Dechartres A, Chanal J, Amoura Z, Le Gouellec N, Cacoub P, Jourde-Chiche N, Urbanski G, Augusto JF, Moulis G, Raffray L, Deroux A, Hummel A, Lioger B, Catroux M, Faguer S, Goutte J, Martis N, Maurier F, Rivière E, Sanges S, Baldolli A, Costedoat-Chalumeau N, Roriz M, Puéchal X, André M, Lavigne C, Bienvenu B, Mekinian A, Zagdoun E, Girard C, Bérezné A, Guillevin L, Thervet E, and Pillebout E

Subjects
Adrenal Cortex Hormones therapeutic use, Adult, Aged, Arthralgia epidemiology, Arthralgia etiology, Colchicine therapeutic use, Cyclophosphamide therapeutic use, Drug Therapy, Combination, Female, France epidemiology, Gastrointestinal Diseases epidemiology, Gastrointestinal Diseases etiology, Glomerulonephritis, IGA epidemiology, Glomerulonephritis, IGA etiology, Humans, IgA Vasculitis complications, Logistic Models, Male, Middle Aged, Multivariate Analysis, Propensity Score, Retrospective Studies, Surveys and Questionnaires, Treatment Outcome, Antirheumatic Agents therapeutic use, IgA Vasculitis drug therapy, IgA Vasculitis pathology
Abstract

Objective: Data on adult IgA vasculitis (Henoch-Schönlein) (IgAV) are scarce. This survey was designed to better define the clinical spectrum of IgAV and efficacy of treatments in a French patient population., Methods: Data on clinical characteristics, histologic features, and treatment response from 260 patients with IgAV included in a French multicenter retrospective survey were analyzed. Efficacy data were compared using different statistical models., Results: The mean ± SD age of the patients with IgAV at diagnosis was 50.1 ± 18 years, and 63% of patients were male. Baseline manifestations included purpura (100%), arthralgias/arthritis/myalgia (61%), glomerulonephritis (70%), and/or gastrointestinal involvement (53%). Thirty percent of patients showed renal failure at baseline. In univariate analysis, the response to therapy was 80% (64 of 80) in patients treated with corticosteroids (CS) alone, compared to 77% (23 of 30) in patients treated with CS plus cyclophosphamide (CYC) and 59% (10 of 17) in patients treated with colchicine (P = 0.17). Multivariable analysis showed that treatment with CS or CS plus CYC was more effective than colchicine in achieving a response. Efficacy differences were demonstrated using different statistical models: in the multivariable logistic regression model, odds ratio (OR) 3.68, 95% confidence interval (95% CI) 1.10-12.33 (P = 0.03); in the inverse probability weighting on propensity score model, OR 3.75, 95% CI 1.28-10.99 (P = 0.02). The efficacy of CS plus CYC as compared to CS alone was discordant according to the analytic method used. Analysis with the multivariable logistic regression model did not demonstrate a difference between CS plus CYC and CS alone (OR 0.88, 95% CI 0.29-2.67; P = 0.82). In contrast, inverse probability weighting on propensity score showed that CS plus CYC was more effective than CS alone (OR 1.79, 95% CI 1.00-3.20; P = 0.049)., Conclusion: This series constitutes the largest series of adults with IgAV reported in the literature so far. It provides data on clinical and histologic presentation and therapeutic efficacy, suggesting that CS alone appears to be a reasonable first-line therapy in patients with IgAV, while the benefit of adding CYC to CS remains uncertain., (© 2017, American College of Rheumatology.)

Published
2017
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39. [Infectious events during the course of autoimmune diseases treated with rituximab: A retrospective study of 93 cases].

Author

Catroux M, Lauda-Maillen M, Pathe M, De Boisgrollier de Ruolz AC, Cazenave-Roblot F, Roblot P, and Souchaud-Debouverie O

Subjects
Adult, Aged, Female, France epidemiology, Humans, Immunocompromised Host, Male, Middle Aged, Retrospective Studies, Autoimmune Diseases drug therapy, Autoimmune Diseases epidemiology, Communicable Diseases chemically induced, Communicable Diseases epidemiology, Rituximab therapeutic use
Abstract

Objective: Describe the occurring infections in patients treated with rituximab for an autoimmune disease., Methods: Retrospective and monocentric study of 93 adult patients treated with rituximab for autoimmune indications over a nine years period., Results: Thirty-eight patients suffered from a total of 95 infections. Out of them, 18 patients (19 %) had had at least an infectious episode triggering a hospital admission and/or intravenous treatment. The infections occurred mainly during the first year of the treatment (65 %) and if the courses are repeated (P=0.04). They were mainly pulmonary infections. Severe infections, recorded in 79 % of the cases, were mostly of bacterial origin (43 %) and viral (23 %). Two cases of pneumocystis pneumonia and one case of invasive pulmonary aspergillosis were also recorded. The notion of vaccination was present in less than half of the cases, and 39 % of the patients were already receiving a prophylactic treatment against pneumocystis pneumonia. Patients over the age of 65 years (40 %) had developed less infections (P<0.05). Eight of the initial 93 patients died, half of them because of infectious complications., Conclusion: Infectious complications are frequent, become early and are potentially severe. Imputability to rituximab is not certain. However, this could lead to better codify rituximab prescriptions and take adapted and associated measures in order to facilitate infection prevention and, if an infection does occur, to treat it at the earliest stage possible. The age doesn't seem to be a risk factor., (Copyright © 2016 Société Nationale Française de Médecine Interne (SNFMI). Published by Elsevier SAS. All rights reserved.)

Published
2017
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40. Clinical features of actinomycosis: A retrospective, multicenter study of 28 cases of miscellaneous presentations.

Author

Bonnefond S, Catroux M, Melenotte C, Karkowski L, Rolland L, Trouillier S, and Raffray L

Subjects
Actinomycosis drug therapy, Actinomycosis epidemiology, Adult, Aged, Biopsy, Female, Follow-Up Studies, France epidemiology, Humans, Incidence, Male, Middle Aged, Prognosis, Retrospective Studies, Skin microbiology, Time Factors, Actinomyces isolation & purification, Actinomycosis diagnosis, Anti-Bacterial Agents therapeutic use, Skin diagnostic imaging
Abstract

Actinomycosis is a rare heterogeneous anaerobic infection with misleading clinical presentations that delay diagnosis. A significant number of misdiagnosed cases have been reported in specific localizations, but studies including various forms of actinomycosis have rarely been published.We performed a multicenter retrospective chart review of laboratory-confirmed actinomycosis cases from January 2000 until January 2014. We described clinical characteristics, diagnostic procedures, differential diagnosis, and management of actinomycosis of clinical significance.Twenty-eight patients were included from 6 hospitals in France. Disease was diagnosed predominately in the abdomen/pelvis (n = 9), orocervicofacial (n = 5), cardiothoracic (n = 5), skeletal (n = 3), hematogenous (n = 3), soft tissue (n = 2), and intracranially (n = 1). Four patients (14%) were immunocompromised. In most cases (92 %), the diagnosis of actinomycosis was not suspected on admission, as clinical features were not specific. Diagnosis was obtained from either microbiology (50%, n = 14) or histopathology (42%, n = 12), or from both methods (7%, n = 2). Surgical biopsy was needed for definite diagnosis in 71% of cases (n = 20). Coinfection was found in 13 patients (46%), among which 3 patients were diagnosed from histologic criteria only. Two-thirds of patients were treated with amoxicillin. Median duration of antibiotics was 120 days (interquartile range 60-180), whereas the median follow-up time was 12 months (interquartile range 5.25-18). Two patients died.This study highlights the distinct and miscellaneous patterns of actinomycosis to prompt accurate diagnosis and earlier treatments, thus improving the outcome. Surgical biopsy should be performed when possible while raising histologist's and microbiologist's awareness of possible actinomycosis to enhance the chance of diagnosis and use specific molecular methods., Competing Interests: The authors state that they have no conflict of interest concerning this article.

Published
2016
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41. Antituberculosis drug resistance patterns in adults with tuberculous meningitis: results of haydarpasa-iv study.

Author

Senbayrak S, Ozkutuk N, Erdem H, Johansen IS, Civljak R, Inal AS, Kayabas U, Kursun E, Elaldi N, Savic B, Simeon S, Yilmaz E, Dulovic O, Ozturk-Engin D, Ceran N, Lakatos B, Sipahi OR, Sunbul M, Yemisen M, Alabay S, Beovic B, Ulu-Kilic A, Cag Y, Catroux M, Inan A, Dragovac G, Deveci O, Tekin R, Gul HC, Sengoz G, Andre K, Harxhi A, Hansmann Y, Oncu S, Kose S, Oncul O, Parlak E, Sener A, Yilmaz G, Savasci U, and Vahaboglu H

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Cerebrospinal Fluid microbiology, Europe epidemiology, Female, Humans, Male, Middle Aged, Mycobacterium tuberculosis isolation & purification, Prevalence, Retrospective Studies, Survival Analysis, Tuberculosis, Meningeal epidemiology, Tuberculosis, Meningeal mortality, Young Adult, Antitubercular Agents pharmacology, Drug Resistance, Bacterial, Mycobacterium tuberculosis drug effects, Tuberculosis, Meningeal microbiology
Abstract

Background: Tuberculous meningitis (TBM) caused by Mycobacterium tuberculosis resistant to antituberculosis drugs is an increasingly common clinical problem. This study aimed to evaluate drug resistance profiles of TBM isolates in adult patients in nine European countries involving 32 centers to provide insight into the empiric treatment of TBM., Methods: Mycobacterium tuberculosis was cultured from the cerebrospinal fluid (CSF) of 142 patients and was tested for susceptibility to first-line antituberculosis drugs, streptomycin (SM), isoniazid (INH), rifampicin (RIF) and ethambutol (EMB)., Results: Twenty of 142 isolates (14.1 %) were resistant to at least one antituberculosis drug, and five (3.5 %) were resistant to at least INH and RIF, [multidrug resistant (MDR)]. The resistance rate was 12, 4.9, 4.2 and 3.5 % for INH, SM, EMB and RIF, respectively. The monoresistance rate was 6.3, 1.4 and 0.7 % for INH, SM and EMB respectively. There was no monoresistance to RIF. The mortality rate was 23.8 % in fully susceptible cases while it was 33.3 % for those exhibiting monoresistance to INH, and 40 % in cases with MDR-TBM. In compared to patients without resistance to any first-line drug, the relative risk of death for INH-monoresistance and MDR-TBM was 1.60 (95 % CI, 0.38-6.82) and 2.14 (95 % CI, 0:34-13:42), respectively., Conclusion: INH-resistance and MDR rates seemed not to be worrisome in our study. However, considering their adverse effects on treatment, rapid detection of resistance to at least INH and RIF would be most beneficial for designing anti-TB therapy. Still, empiric TBM treatment should be started immediately without waiting the drug susceptibility testing.

Published
2015
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42. Hamsi scoring in the prediction of unfavorable outcomes from tuberculous meningitis: results of Haydarpasa-II study.

Author

Erdem H, Ozturk-Engin D, Tireli H, Kilicoglu G, Defres S, Gulsun S, Sengoz G, Crisan A, Johansen IS, Inan A, Nechifor M, Al-Mahdawi A, Civljak R, Ozguler M, Savic B, Ceran N, Cacopardo B, Inal AS, Namiduru M, Dayan S, Kayabas U, Parlak E, Khalifa A, Kursun E, Sipahi OR, Yemisen M, Akbulut A, Bitirgen M, Popovic N, Kandemir B, Luca C, Parlak M, Stahl JP, Pehlivanoglu F, Simeon S, Ulu-Kilic A, Yasar K, Yilmaz G, Yilmaz E, Beovic B, Catroux M, Lakatos B, Sunbul M, Oncul O, Alabay S, Sahin-Horasan E, Kose S, Shehata G, Andre K, Dragovac G, Gul HC, Karakas A, Chadapaud S, Hansmann Y, Harxhi A, Kirova V, Masse-Chabredier I, Oncu S, Sener A, Tekin R, Elaldi N, Deveci O, Ozkaya HD, Karabay O, Senbayrak S, Agalar C, and Vahaboglu H

Subjects
Adult, Clinical Trials as Topic, Cohort Studies, Female, Humans, International Cooperation, Logistic Models, Male, Middle Aged, Nervous System Diseases, Predictive Value of Tests, Sensitivity and Specificity, Severity of Illness Index, Surveys and Questionnaires, Tuberculosis, Meningeal mortality, Outcome Assessment, Health Care, Treatment Outcome, Tuberculosis, Meningeal diagnosis, Tuberculosis, Meningeal therapy
Abstract

Predicting unfavorable outcome is of paramount importance in clinical decision making. Accordingly, we designed this multinational study, which provided the largest case series of tuberculous meningitis (TBM). 43 centers from 14 countries (Albania, Croatia, Denmark, Egypt, France, Hungary, Iraq, Italy, Macedonia, Romania, Serbia, Slovenia, Syria, Turkey) submitted data of microbiologically confirmed TBM patients hospitalized between 2000 and 2012. Unfavorable outcome was defined as survival with significant sequela or death. In developing our index, binary logistic regression models were constructed via 200 replicates of database by bootstrap resampling methodology. The final model was built according to the selection frequencies of variables. The severity scale included variables with arbitrary scores proportional to predictive powers of terms in the final model. The final model was internally validated by bootstrap resampling. A total of 507 patients' data were submitted among which 165 had unfavorable outcome. Eighty-six patients died while 119 had different neurological sequelae in 79 (16%) patients. The full model included 13 variables. Age, nausea, vomiting, altered consciousness, hydrocephalus, vasculitis, immunosuppression, diabetes mellitus and neurological deficit remained in the final model. Scores 1-3 were assigned to the variables in the severity scale, which included scores of 1-6. The distribution of mortality for the scores 1-6 was 3.4, 8.2, 20.6, 31, 30 and 40.1%, respectively. Altered consciousness, diabetes mellitus, immunosuppression, neurological deficits, hydrocephalus, and vasculitis predicted the unfavorable outcome in the scoring and the cumulative score provided a linear estimation of prognosis.

Published
2015
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