41 results on '"Hinic, V."'
Search Results
2. Identification of a novel 16S rRNA gene variant of Actinomyces funkei from six patients with purulent infections
- Author
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Hinić, V., Straub, C., Schultheiss, E., Kaempfer, P., Frei, R., and Goldenberger, D.
- Published
- 2013
- Full Text
- View/download PDF
3. Diagnostic challenges within the Bacillus cereus-group: finding the beast without teeth.
- Author
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Muigg, V, Cuénod, A, Purushothaman, S, Siegemund, M, Wittwer, M, Pflüger, V, Schmidt, KM, Weisser, M, Ritz, N, Widmer, A, Goldenberger, D, Hinic, V, Roloff, T, Søgaard, KK, Egli, A, Seth-Smith, HMB, Muigg, V, Cuénod, A, Purushothaman, S, Siegemund, M, Wittwer, M, Pflüger, V, Schmidt, KM, Weisser, M, Ritz, N, Widmer, A, Goldenberger, D, Hinic, V, Roloff, T, Søgaard, KK, Egli, A, and Seth-Smith, HMB
- Abstract
The Bacillus cereus-group (B. cereus sensu lato) includes common, usually avirulent species, often considered contaminants of patient samples in routine microbiological diagnostics, as well as the highly virulent B. anthracis. Here we describe 16 isolates from 15 patients, identified as B. cereus-group using a MALDI-TOF MS standard database. Whole genome sequencing (WGS) analysis identified five of the isolates as B. anthracis species not carrying the typical virulence plasmids pXO1 and pXO2, four isolates as B. paranthracis, three as B. cereus sensu stricto, two as B. thuringiensis, one as B. mobilis, and one isolate represents a previously undefined species of Bacillus (B. basilensis sp. nov.). More detailed analysis using alternative MALDI-TOF MS databases, biochemical phenotyping, and diagnostic PCRs, gave further conflicting species results. These cases highlight the difficulties in identifying avirulent B. anthracis within the B. cereus-group using standard methods. WGS and alternative MALDI-TOF MS databases offer more accurate species identification, but so far are not routinely applied. We discuss the diagnostic resolution and discrepancies of various identification methods.
- Published
- 2022
4. Outbreak investigation for toxigenic Corynebacterium diphtheriae wound infections in refugees from Northeast Africa and Syria in Switzerland and Germany by whole genome sequencing
- Author
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Meinel, D.M., Kuehl, R., Zbinden, R., Boskova, V., Garzoni, C., Fadini, D., Dolina, M., Blümel, B., Weibel, T., Tschudin-Sutter, S., Widmer, A.F., Bielicki, J.A., Dierig, A., Heininger, U., Konrad, R., Berger, A., Hinic, V., Goldenberger, D., Blaich, A., Stadler, T., Battegay, M., Sing, A., and Egli, A.
- Published
- 2016
- Full Text
- View/download PDF
5. Multinational evaluation of the BioFire® FilmArray® Pneumonia plus Panel as compared to standard of care testing
- Author
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Ginocchio, C. C., Garcia-Mondragon, C., Mauerhofer, B., Rindlisbacher, C., Forcelledo, L., Fernandez, J., Lienhard, R., Kerschner, H., Rossolini, G. M., Armand-Lefevre, L., D'Humieres, C., Cambau, E., Benmansour, H., Cavallo, R., Altwegg, M., Berlinger, L., Bonnet, R., Saint-Sardos, P., Meex, C., Lavigne, J. P., Leveque, N., Broutin, L., Cattoir, V., Auger, G., Pereira, H., Paitan, Y., Verroken, A., Pailhories, H., Lemarie, C., Martinetti-Lucchini, G., Frigerio Malossa, S., Sanguinetti, M., Spanu, T., Vandenesch, F., Poyart, C., Loubinoux, J., Mira, J. P., Bonacorsi, S., Cointe, A., Munoz, P., Kestler, M., Esteva, C., Queralt, X., Garcia-Rodriguez, J., Gomez, M. D., Lopez-Hontangas, J. L., Ghisetti, V., Burdino, E., Schubert, S., Mencacci, A., Allegrucci, F., Rozemeijer, W., Paternotte, N., Allard, A., M. C., Re, Ambretti, S., Skov, M., Agergaard, C. N., Subudhi, P., Wichelhaus, T. A., Egli, A., Hinic, V., Alcock, A., Banavathi, K., Tiberio, C., Ruocco, G., and Atripaldi, L.
- Subjects
0301 basic medicine ,Microbiology (medical) ,Veterinary medicine ,Standard of care ,Atypical bacteria ,030106 microbiology ,03 medical and health sciences ,0302 clinical medicine ,Anti-Infective Agents ,Diagnosis ,otorhinolaryngologic diseases ,Humans ,Medicine ,030212 general & internal medicine ,Israel ,BioFire Pneumonia plus Panel ,Bacteria ,business.industry ,Standard of Care ,Pneumonia ,HAP ,General Medicine ,medicine.disease ,CAP ,Highly sensitive ,Europe ,Infectious Diseases ,Molecular Diagnostic Techniques ,Viruses ,VAP ,Original Article ,Detection rate ,business - Abstract
This study compared standard of care testing (SOC) to BioFire® FilmArray® Pneumonia plus Panel (PNplus). PNplus detects 15 bacteria with semiquantitative log bin values, 7 antibiotic resistance markers, three atypical bacteria (AB), and eight viral classes directly from bronchoalveolar lavage-like specimens (BLS) and sputum-like specimens (SLS). Fifty-two laboratories from 13 European countries and Israel tested 1234 BLS and 1242 SLS with PNplus and SOC. Detection rates and number of pathogens/samples were compared for PNplus pathogens. PNplus bin values and SOC quantities were compared. Three thousand two hundred sixty-two bacteria in PNplus were detected by PNplus and/or SOC. SOC detected 57.1% compared to 95.8% for PNplus (p ≤ 0.0001). PNplus semiquantitative bin values were less than SOC, equal to SOC, or greater than SOC in 5.1%, 25.4%, and 69.6% of results, respectively. PNplus bin values were on average ≥ 1 log than SOC values (58.5% 1–2 logs; 11.0% 3–4 logs). PNplus identified 98.2% of MRSA and SOC 55.6%. SOC detected 73/103 AB (70.9%) and 134/631 viruses (21.2%). PNplus detected 93/103 AB (90.3%) and 618/631 viruses (97.9%) (p ≤ 0.0001). PNplus and SOC mean number of pathogens/samples were 1.99 and 1.44, respectively. All gram-negative resistance markers were detected. PNplus and SOC results were fully or partially concordant for 49.1% and 26.4% of specimens, respectively. PNplus was highly sensitive and detected more potential pneumonia pathogens than SOC. Semiquantification may assist in understanding pathogen significance. As PNplus generates results in approximately 1 h, PNplus has potential to direct antimicrobial therapy in near real time and improve antimicrobial stewardship and patient outcomes.
- Published
- 2021
6. Bloodstream infection with Candida kefyr/Kluyveromyces marxianus: case report and draft genome
- Author
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Seth-Smith, H.M.B., Büchler, A.C., Hinic, V., Medinger, M., Widmer, A.F., and Egli, A.
- Published
- 2020
- Full Text
- View/download PDF
7. Abstracts of the Eighth EDCTP Forum, 6-9 November 2016.
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Makanga, M, Beattie, P, Breugelmans, G, Nyirenda, T, Bockarie, M, Tanner, M, Volmink, J, Hankins, C, Walzl, G, Chegou, N, Malherbe, S, Hatherill, M, Scriba, TJ, Zak, DE, Barry, CE, Kaufmann, SHE, Noor, A, Strub-Wourgaft, N, Phillips, P, Munguambe, K, Ravinetto, R, Tinto, H, Diro, E, Mahendrahata, Y, Okebe, J, Rijal, S, Garcia, C, Sundar, S, Ndayisaba, G, Sopheak, T, Ngoduc, T, Van Loen, H, Jacobs, J, D'Alessandro, U, Boelaert, M, Buvé, A, Kamalo, P, Manda-Taylor, L, Rennie, S, Mokgatla, B, Bahati, Ijsselmuiden, C, Afolabi, M, Mcgrath, N, Kampmann, B, Imoukhuede, E, Alexander, N, Larson, H, Chandramohan, D, Bojang, K, Kasaro, MP, Muluka, B, Kaunda, K, Morse, J, Westfall, A, Kapata, N, Kruuner, A, Henostroza, G, Reid, S, Alabi, A, Foguim, F, Sankarganesh, J, Bruske, E, Mfoumbi, A, Mevyann, C, Adegnika, A, Lell, B, Kranzer, K, Kremsner, P, Grobusch, M, Sabiiti, W, Ntinginya, N, Kuchaka, D, Azam, K, Kampira, E, Mtafya, B, Bowness, R, Bhatt, N, Davies, G, Kibiki, G, Gillespie, S, Lejon, V, Ilboudo, H, Mumba, D, Camara, M, Kaba, D, Lumbala, C, Fèvre, E, Jamonneau, V, Bucheton, B, Büscher, P, Chisenga, C, Sinkala, E, Chilengi, R, Chitundu, H, Zyambo, Z, Wandeler, G, Vinikoor, M, Emilie, D, Camara, O, Mathurin, K, Guiguigbaza-Kossigan, D, Philippe, B, Regassa, F, Hassane, S, Bienvenu, SM, Fabrice, C, Ouédraogo, E, Kouakou, L, Owusu, M, Mensah, E, Enimil, A, Mutocheluh, M, Ndongo, FA, Tejiokem, MC, Texier, G, Penda, C, Ndiang, S, Ndongo, J-A, Guemkam, G, Sofeu, CL, Afumbom, K, Faye, A, Msellati, P, Warszawski, J, Vos, A, Devillé, W, Barth, R, Klipstein-Grobusch, K, Tempelman, H, Venter, F, Coutinho, R, Grobbee, D, Ssemwanga, D, Lyagoba, F, Magambo, B, Kapaata, A, Kirangwa, J, Nannyonjo, M, Nassolo, F, Nsubuga, R, Yebra, G, Brown, A, Kaleebu, P, Nylén, H, Habtewold, A, Makonnen, E, Yimer, G, Burhenne, J, Diczfalusy, U, Aklillu, E, Steele, D, Walker, R, Simuyandi, M, Beres, L, Bosomprah, S, Ansumana, R, Taitt, C, Lamin, JM, Jacobsen, KH, Mulvaney, SP, Leski, T, Bangura, U, Stenger, D, De Vries, S, Zinsou, FJ, Honkpehedji, J, Dejon, JC, Loembe, MM, Bache, B, Pakker, N, Van Leeuwen, R, Hounkpatin, AB, Yazdanbakhsh, M, Bethony, J, Hotez, P, Diemert, D, Bache, BE, Fernandes, JF, Obiang, RM, Kabwende, AL, Grobusch, MP, Krishna, S, Kremsner, PG, Todagbe, AS, Nambozi, M, Kabuya, J-B, Hachizovu, S, Mwakazanga, D, Kasongo, W, Buyze, J, Mulenga, M, Geertruyden, J-P, Gitaka, J, Chan, C, Kongere, J, Kagaya, W, Kaneko, A, Kabore, N, Barry, N, Kabre, Z, Werme, K, Fofana, A, Compaore, D, Nikiema, F, Some, F, Djimde, A, Zongo, I, Ouedraogo, B, Kone, A, Sagara, I, Björkman, A, Gil, JP, Nchinda, G, Bopda, A, Nji, N, Ambada, G, Ngu, L, Tchadji, J, Sake, C, Magagoum, S, Njambe, GD, Lisom, A, Park, CG, Tait, D, Sibusiso, H, Manda, O, Croucher, K, Van Der Westhuizen, A, Mshanga, I, Levin, J, Nanvubya, A, Kibengo, F, Jaoko, W, Pala, P, Perreau, M, Namuniina, A, Kitandwe, P, Tapia, G, Serwanga, J, Yates, N, Fast, P, Mayer, B, Montefiori, D, Tomaras, G, Robb, M, Lee, C, Wagner, R, Sanders, E, Kilembe, W, Kiwanuka, N, Gilmour, J, Kuipers, H, Vooij, D, Chinyenze, K, Priddy, F, Ding, S, Hanke, T, Pantaleo, G, Ngasala, B, Jovel, I, Malmberg, M, Mmbando, B, Premji, Z, Mårtensson, A, Mwaiswelo, R, Agbor, L, Apinjoh, T, Mwanza, S, Chileshe, J, Joshi, S, Malunga, P, Manyando, C, Laufer, M, Dara, A, Niangaly, A, Sinha, I, Brodin, D, Fofana, B, Dama, S, Dembele, D, Sidibe, B, Diallo, N, Thera, M, Wright, K, Gil, J, Doumbo, O, Baraka, V, Nabasumba, C, Francis, F, Lutumba, P, Mavoko, H, Alifrangis, M, Van Geertruyden, J-P, Sissoko, S, Sangaré, C, Toure, S, Sanogo, K, Diakite, H, Doumbia, D, Haidara, K, Julé, A, Ashurst, H, Merson, L, Olliaro, P, Marsh, V, Lang, T, Guérin, P, Awuondo, K, Njenga, D, Nyakarungu, E, Titus, P, Sutamihardja, A, Lowe, B, Ogutu, B, Billingsley, P, Soulama, I, Kaboré, M, Coulibaly, A, Ouattara, M, Sanon, S, Diarra, A, Bougouma, E, Ouedraogo, A, Sombie, B, Kargougou, D, Ouattara, D, Issa, N, Tiono, A, Sirima, S, Chaponda, M, Dabira, E, Dao, F, Dara, N, Coulibaly, M, Tolo, A, Maiga, H, Ouologuem, N, Niangaly, H, Botchway, F, Wilson, N, Dickinson-Copeland, CM, Adjei, AA, Wilson, M, Stiles, JK, Hamid, MA, Awad-Elgeid, M, Nasr, A, Netongo, P, Kamdem, S, Velavan, T, Lasry, E, Diarra, M, Bamadio, A, Traore, A, Coumare, S, Soma, B, Dicko, Y, Sangare, B, Tembely, A, Traore, D, Haidara, A, Dicko, A, Diawara, E, Beavogui, A, Camara, D, Sylla, M, Yattara, M, Sow, A, Camara, GC, Diallo, S, Mombo-Ngoma, G, Remppis, J, Sievers, M, Manego, RZ, Endamne, L, Hutchinson, D, Held, J, Supan, C, Salazar, CLO, Bonkian, LN, Nahum, A, Sié, A, Abdulla, S, Cantalloube, C, Djeriou, E, Bouyou-Akotet, M, Mordmüller, B, Siribie, M, Sirima, SB, Ouattara, SM, Coulibaly, S, Kabore, JM, Amidou, D, Tekete, M, Traore, O, Haefeli, W, Borrmann, S, Kaboré, N, Kabré, Z, Nikèma, F, Compaoré, D, Somé, F, Djimdé, A, Ouédraogo, J, Chalwe, V, Miller, J, Diakité, H, Greco, B, Spangenberg, T, Kourany-Lefoll, E, Oeuvray, C, Mulry, J, Tyagarajan, K, Magsaam, B, Barnes, K, Hodel, EM, Humphreys, G, Pace, C, Banda, CG, Denti, P, Allen, E, Lalloo, D, Mwapasa, V, Terlouw, A, Mwesigwa, J, Achan, J, Jawara, M, Ditanna, G, Worwui, A, Affara, M, Koukouikila-Koussounda, F, Kombo, M, Vouvoungui, C, Ntoumi, F, Etoka-Beka, MK, Deibert, J, Poulain, P, Kobawila, S, Gueye, NG, Seda, B, Kwambai, T, Jangu, P, Samuels, A, Kuile, FT, Kariuki, S, Barry, A, Bousema, T, Okech, B, Egwang, T, Corran, P, Riley, E, Ezennia, I, Ekwunife, O, Muleba, M, Stevenson, J, Mbata, K, Coetzee, M, Norris, D, Moneke-Anyanwoke, N, Momodou, J, Clarke, E, Scott, S, Tijani, A, Djimde, M, Vaillant, M, Samouda, H, Mensah, V, Roetynck, S, Kanteh, E, Bowyer, G, Ndaw, A, Oko, F, Bliss, C, Jagne, YJ, Cortese, R, Nicosia, A, Roberts, R, D'Alessio, F, Leroy, O, Faye, B, Cisse, B, Gerry, S, Viebig, N, Lawrie, A, Ewer, K, Hill, A, Nebie, I, Tiono, AB, Sanou, G, Konate, AT, Yaro, BJ, Sodiomon, S, Honkpehedji, Y, Agobe, JCD, Zinsou, F, Mengue, J, Richie, T, Hoffman, S, Nouatin, O, Ngoa, UA, Edoa, JR, Homoet, A, Engelhon, JE, Massinga-Louembe, M, Esen, M, Theisen, M, Sim, KL, Luty, AJ, Moutairou, K, Dinko, B, King, E, Targett, G, Sutherland, C, Likhovole, C, Ouma, C, Vulule, J, Musau, S, Khayumbi, J, Okumu, A, Murithi, W, Otu, J, Gehre, F, Zingue, D, Kudzawu, S, Forson, A, Mane, M, Rabna, P, Diarra, B, Kayede, S, Adebiyi, E, Kehinde, A, Onyejepu, N, Onubogu, C, Idigbe, E, Ba, A, Diallo, A, Mboup, S, Disse, K, Kadanga, G, Dagnra, Y, Baldeh, I, Corrah, T, De Jong, B, Antonio, M, Musanabaganwa, C, Musabyimana, JP, Karita, E, Diop, B, Nambajimana, A, Dushimiyimana, V, Karame, P, Russell, J, Ndoli, J, Hategekimana, T, Sendegeya, A, Condo, J, Binagwaho, A, Okonko, I, Okerentugba, P, Opaleye, O, Awujo, E, Frank-Peterside, N, Moyo, S, Kotokwe, K, Mohammed, T, Boleo, C, Mupfumi, L, Chishala, S, Gaseitsiwe, S, Tsalaile, L, Bussmann, H, Makhema, J, Baum, M, Marlink, R, Engelbretch, S, Essex, M, Novitsky, V, Saka, E, Kalipalire, Z, Bhairavabhotla, R, Midiani, D, Sherman, J, Mgode, G, Cox, C, Bwana, D, Mtui, L, Magesa, D, Kahwa, A, Mfinanga, G, Mulder, C, Borain, N, Petersen, L, Du Plessis, J, Theron, G, Holm-Hansen, C, Tekwu, EM, Sidze, LK, Assam, JPA, Eyangoh, S, Niemann, S, Beng, VP, Frank, M, Atiadeve, S, Hilmann, D, Awoniyi, D, Baumann, R, Kriel, B, Jacobs, R, Kidd, M, Loxton, A, Kaempfer, S, Singh, M, Mwanza, W, Milimo, D, Moyo, M, Kasese, N, Cheeba-Lengwe, M, Munkondya, S, Ayles, H, De Haas, P, Muyoyeta, M, Namuganga, AR, Kizza, HM, Mendy, A, Tientcheu, L, Ayorinde, A, Coker, E, Egere, U, Coussens, A, Naude, C, Chaplin, G, Noursadeghi, M, Martineau, A, Jablonski, N, Wilkinson, R, Ouedraogo, HG, Matteelli, A, Regazzi, M, Tarnagda, G, Villani, P, Sulis, G, Diagbouga, S, Roggi, A, Giorgetti, F, Kouanda, S, Bidias, A, Ndjonka, D, Olemba, C, Souleymanou, A, Mukonzo, J, Kuteesa, R, Ogwal-Okeng, J, Gustafsson, LL, Owen, J, Bassi, P, Gashau, W, Olaf, K, Dodoo, A, Okonkwo, P, Kanki, P, Maruapula, D, Seraise, B, Einkauf, K, Reilly, A, Rowley, C, Musonda, R, Framhein, A, Mpagama, S, Semvua, H, Maboko, L, Hoelscher, M, Heinrich, N, Mulenga, L, Kaayunga, C, Davies, M-A, Egger, M, Musukuma, K, Dambe, R, Usadi, B, Ngari, M, Thitiri, J, Mwalekwa, L, Fegan, G, Berkley, J, Nsagha, D, Munamunungu, V, Bolton, C, Siyunda, A, Shilimi, J, Bucciardini, R, Fragola, V, Abegaz, T, Lucattini, S, Halifom, A, Tadesse, E, Berhe, M, Pugliese, K, De Castro, P, Terlizzi, R, Fucili, L, Di Gregorio, M, Mirra, M, Zegeye, T, Binelli, A, Vella, S, Abraham, L, Godefay, H, Rakotoarivelo, R, Raberahona, M, Randriamampionona, N, Andriamihaja, R, Rasamoelina, T, Cornet, M, De Dieu Randria, MJ, Benet, T, Vanhems, P, Andrianarivelo, MR, Chirwa, U, Michelo, C, Hamoonga, R, Wandiga, S, Oduor, P, Agaya, J, Sharma, A, Cavanaugh, S, Cain, K, Mukisa, J, Mupere, E, Worodria, W, Ngom, JT, Koro, F, Godwe, C, Adande, C, Ateugieu, R, Onana, T, Ngono, A, Kamdem, Y, Ngo-Niobe, S, Etoa, F-X, Kanengoni, M, Ruzario, S, Ndebele, P, Shana, M, Tarumbiswa, F, Musesengwa, R, Gutsire, R, Fisher, K, Thyagarajan, B, Akanbi, O, Binuyo, M, Ssengooba, W, Respeito, D, Mambuque, E, Blanco, S, Mandomando, I, Cobelens, F, Garcia-Basteiro, A, Tamene, A, Topp, S, Mwamba, C, Padian, N, Sikazwe, I, Geng, E, Holmes, C, Sikombe, K, Hantuba, Czaicki, N, Simbeza, S, Somwe, P, Umulisa, M, Ilo, J, Kestelyn, E, Uwineza, M, Agaba, S, Delvaux, T, Wijgert, J, Gethi, D, Odeny, L, Tamandjou, C, Kaindjee-Tjituka, F, Brandt, L, Cotton, M, Nel, E, Preiser, W, Andersson, M, Adepoju, A, Magana, M, Etsetowaghan, A, Chilikwazi, M, Sutcliffe, C, Thuma, P, Sinywimaanzi, K, Matakala, H, Munachoonga, P, Moss, W, Masenza, IS, Geisenberger, O, Agrea, P, Rwegoshora, F, Mahiga, H, Olomi, W, Kroidl, A, Kayode, G, Amoakoh-Coleman, M, Ansah, E, Uthman, O, Fokam, J, Santoro, M-M, Musolo, C, Chimbiri, I, Chikwenga, G, Deula, R, Massari, R, Lungu, A, Perno, C-F, Ndzengue, G, Loveline, N, Lissom, A, Flaurent, T, Sosso, S, Essomba, C, Kpeli, G, Otchere, I, Lamelas, A, Buultjens, A, Bulach, D, Baines, S, Seemann, T, Giulieri, S, Nakobu, Z, Aboagye, S, Owusu-Mireku, E, Danso, E, Hauser, J, Hinic, V, Pluschke, G, Stinear, T, Yeboah-Manu, D, Elshayeb, A, Siddig, ME, Ahmed, AA, Hussien, AE, Kabwe, M, Tembo, J, Chilukutu, L, Chilufya, M, Ngulube, F, Lukwesa, C, Enne, V, Wexner, H, Mwananyanda, L, Hamer, D, Sinyangwe, S, Ahmed, Y, Klein, N, Maeurer, M, Zumla, A, Bates, M, Beyala, L, Etienne, G, Anthony, N, Benjamin, A, Ateudjieu, J, Chibwe, B, Ojok, D, Tarr, CA, Perez, GM, Omeonga, S, Kibungu, F, Meyer, A, Lansana, P, Mayor, A, Onyango, P, Van Loggerenberg, F, Furtado, T, Boggs, L, Segrt, A, Dochez, C, Burnett, R, Mphahlele, MJ, Miiro, G, Mbidde, E, Peshu, N, Kivaya, E, Ngowi, B, Kavishe, R, Maowia, M, Sandstrom, E, Ayuo, E, Mmbaga, B, Leisegang, C, Thorpe, M, Batchilly, E, N'Guessan, J-P, Kanteh, D, Søfteland, S, Sebitloane, M, Vwalika, B, Taylor, M, Galappaththi-Arachchige, H, Holmen, S, Gundersen, SG, Ndhlovu, P, Kjetland, EF, Kombe, F, Toohey, J, Pienaar, E, Kredo, T, Cham, PM, Abubakar, I, Dondeh, BL, Vischer, N, Pfeiffer, C, Burri, C, Musukwa, K, Zürcher, S, Mwandu, T, Bauer, S, Adriko, M, Mwaura, P, Omolloh, K, Jones, C, Malecela, M, Hamidu, BA, Jenner, TE, Asiedu, LJ, Osei-Atweneboana, M, Afeke, I, Addo, P, Newman, M, Durnez, L, Eddyani, M, Ammisah, N, Abas, M, Quartey, M, Ablordey, A, Akinwale, O, Adeneye, A, Ezeugwu, S, Olukosi, Y, Adewale, B, Sulyman, M, Mafe, M, Okwuzu, J, Gyang, P, Nwafor, T, Henry, U, Musa, B, Ujah, I, Agobé, JCD, Grau-Pujol, B, Sacoor, C, Nhabomba, A, Casellas, A, Quintó, L, Subirà, C, Giné, R, Valentín, A, Muñoz, J, Nikiema, M, Ky-Ba, A, Comapore, KAM, Sangare, L, Oluremi, A, Michel, M, Camara, Y, Sanneh, B, Cuamba, I, Gutiérrez, J, Lázaro, C, Mejia, R, Adedeji, A, Folorunsho, S, Demehin, P, Akinsanya, B, Cowley, G, Da Silva, ET, Nabicassa, M, De Barros, PDP, Blif, MM, Bailey, R, Last, A, Mahendradhata, Y, Gotuzzo, E, De Nys, K, Casteels, M, Nona, SK, Lumeka, K, Todagbe, A, Djima, MM, Ukpong, M, Sagay, A, Khamofu, H, Torpey, K, Afiadigwe, E, Anenih, J, Ezechi, O, Nweneka, C, Idoko, J, Muhumuza, S, Katahoire, A, Nuwaha, F, Olsen, A, Okeyo, S, Omollo, R, Kimutai, R, Ochieng, M, Egondi, T, Moonga, C, Chileshe, C, Magwende, G, Anumudu, C, Onile, O, Oladele, V, Adebayo, A, Awobode, H, Oyeyemi, O, Odaibo, A, Kabuye, E, Lutalo, T, Njua-Yafi, C, Nkuo-Akenji, T, Anchang-Kimbi, J, Mugri, R, Chi, H, Tata, R, Njumkeng, C, Dodoo, D, Achidi, E, Fernandes, J, Bache, EB, Matakala, K, Searle, K, Greenman, M, Rainwater-Lovett, K, Makanga, M, Beattie, P, Breugelmans, G, Nyirenda, T, Bockarie, M, Tanner, M, Volmink, J, Hankins, C, Walzl, G, Chegou, N, Malherbe, S, Hatherill, M, Scriba, TJ, Zak, DE, Barry, CE, Kaufmann, SHE, Noor, A, Strub-Wourgaft, N, Phillips, P, Munguambe, K, Ravinetto, R, Tinto, H, Diro, E, Mahendrahata, Y, Okebe, J, Rijal, S, Garcia, C, Sundar, S, Ndayisaba, G, Sopheak, T, Ngoduc, T, Van Loen, H, Jacobs, J, D'Alessandro, U, Boelaert, M, Buvé, A, Kamalo, P, Manda-Taylor, L, Rennie, S, Mokgatla, B, Bahati, Ijsselmuiden, C, Afolabi, M, Mcgrath, 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Clarke, E, Scott, S, Tijani, A, Djimde, M, Vaillant, M, Samouda, H, Mensah, V, Roetynck, S, Kanteh, E, Bowyer, G, Ndaw, A, Oko, F, Bliss, C, Jagne, YJ, Cortese, R, Nicosia, A, Roberts, R, D'Alessio, F, Leroy, O, Faye, B, Cisse, B, Gerry, S, Viebig, N, Lawrie, A, Ewer, K, Hill, A, Nebie, I, Tiono, AB, Sanou, G, Konate, AT, Yaro, BJ, Sodiomon, S, Honkpehedji, Y, Agobe, JCD, Zinsou, F, Mengue, J, Richie, T, Hoffman, S, Nouatin, O, Ngoa, UA, Edoa, JR, Homoet, A, Engelhon, JE, Massinga-Louembe, M, Esen, M, Theisen, M, Sim, KL, Luty, AJ, Moutairou, K, Dinko, B, King, E, Targett, G, Sutherland, C, Likhovole, C, Ouma, C, Vulule, J, Musau, S, Khayumbi, J, Okumu, A, Murithi, W, Otu, J, Gehre, F, Zingue, D, Kudzawu, S, Forson, A, Mane, M, Rabna, P, Diarra, B, Kayede, S, Adebiyi, E, Kehinde, A, Onyejepu, N, Onubogu, C, Idigbe, E, Ba, A, Diallo, A, Mboup, S, Disse, K, Kadanga, G, Dagnra, Y, Baldeh, I, Corrah, T, De Jong, B, Antonio, M, Musanabaganwa, C, Musabyimana, JP, Karita, E, Diop, B, Nambajimana, A, Dushimiyimana, V, Karame, P, Russell, J, Ndoli, J, Hategekimana, T, Sendegeya, A, Condo, J, Binagwaho, A, Okonko, I, Okerentugba, P, Opaleye, O, Awujo, E, Frank-Peterside, N, Moyo, S, Kotokwe, K, Mohammed, T, Boleo, C, Mupfumi, L, Chishala, S, Gaseitsiwe, S, Tsalaile, L, Bussmann, H, Makhema, J, Baum, M, Marlink, R, Engelbretch, S, Essex, M, Novitsky, V, Saka, E, Kalipalire, Z, Bhairavabhotla, R, Midiani, D, Sherman, J, Mgode, G, Cox, C, Bwana, D, Mtui, L, Magesa, D, Kahwa, A, Mfinanga, G, Mulder, C, Borain, N, Petersen, L, Du Plessis, J, Theron, G, Holm-Hansen, C, Tekwu, EM, Sidze, LK, Assam, JPA, Eyangoh, S, Niemann, S, Beng, VP, Frank, M, Atiadeve, S, Hilmann, D, Awoniyi, D, Baumann, R, Kriel, B, Jacobs, R, Kidd, M, Loxton, A, Kaempfer, S, Singh, M, Mwanza, W, Milimo, D, Moyo, M, Kasese, N, Cheeba-Lengwe, M, Munkondya, S, Ayles, H, De Haas, P, Muyoyeta, M, Namuganga, AR, Kizza, HM, Mendy, A, Tientcheu, L, Ayorinde, A, Coker, E, Egere, U, Coussens, A, Naude, C, Chaplin, G, Noursadeghi, M, Martineau, A, Jablonski, N, Wilkinson, R, Ouedraogo, HG, Matteelli, A, Regazzi, M, Tarnagda, G, Villani, P, Sulis, G, Diagbouga, S, Roggi, A, Giorgetti, F, Kouanda, S, Bidias, A, Ndjonka, D, Olemba, C, Souleymanou, A, Mukonzo, J, Kuteesa, R, Ogwal-Okeng, J, Gustafsson, LL, Owen, J, Bassi, P, Gashau, W, Olaf, K, Dodoo, A, Okonkwo, P, Kanki, P, Maruapula, D, Seraise, B, Einkauf, K, Reilly, A, Rowley, C, Musonda, R, Framhein, A, Mpagama, S, Semvua, H, Maboko, L, Hoelscher, M, Heinrich, N, Mulenga, L, Kaayunga, C, Davies, M-A, Egger, M, Musukuma, K, Dambe, R, Usadi, B, Ngari, M, Thitiri, J, Mwalekwa, L, Fegan, G, Berkley, J, Nsagha, D, Munamunungu, V, Bolton, C, Siyunda, A, Shilimi, J, Bucciardini, R, Fragola, V, Abegaz, T, Lucattini, S, Halifom, A, Tadesse, E, Berhe, M, Pugliese, K, De Castro, P, Terlizzi, R, Fucili, L, Di Gregorio, M, Mirra, M, Zegeye, T, Binelli, A, Vella, S, Abraham, L, Godefay, H, Rakotoarivelo, R, Raberahona, M, Randriamampionona, N, Andriamihaja, R, Rasamoelina, T, Cornet, M, De Dieu Randria, MJ, Benet, T, Vanhems, P, Andrianarivelo, MR, Chirwa, U, Michelo, C, Hamoonga, R, Wandiga, S, Oduor, P, Agaya, J, Sharma, A, Cavanaugh, S, Cain, K, Mukisa, J, Mupere, E, Worodria, W, Ngom, JT, Koro, F, Godwe, C, Adande, C, Ateugieu, R, Onana, T, Ngono, A, Kamdem, Y, Ngo-Niobe, S, Etoa, F-X, Kanengoni, M, Ruzario, S, Ndebele, P, Shana, M, Tarumbiswa, F, Musesengwa, R, Gutsire, R, Fisher, K, Thyagarajan, B, Akanbi, O, Binuyo, M, Ssengooba, W, Respeito, D, Mambuque, E, Blanco, S, Mandomando, I, Cobelens, F, Garcia-Basteiro, A, Tamene, A, Topp, S, Mwamba, C, Padian, N, Sikazwe, I, Geng, E, Holmes, C, Sikombe, K, Hantuba, Czaicki, N, Simbeza, S, Somwe, P, Umulisa, M, Ilo, J, Kestelyn, E, Uwineza, M, Agaba, S, Delvaux, T, Wijgert, J, Gethi, D, Odeny, L, Tamandjou, C, Kaindjee-Tjituka, F, Brandt, L, Cotton, M, Nel, E, Preiser, W, Andersson, M, Adepoju, A, Magana, M, Etsetowaghan, A, Chilikwazi, M, Sutcliffe, C, Thuma, P, Sinywimaanzi, K, Matakala, H, Munachoonga, P, Moss, W, Masenza, IS, Geisenberger, O, Agrea, P, Rwegoshora, F, Mahiga, H, Olomi, W, Kroidl, A, Kayode, G, Amoakoh-Coleman, M, Ansah, E, Uthman, O, Fokam, J, Santoro, M-M, Musolo, C, Chimbiri, I, Chikwenga, G, Deula, R, Massari, R, Lungu, A, Perno, C-F, Ndzengue, G, Loveline, N, Lissom, A, Flaurent, T, Sosso, S, Essomba, C, Kpeli, G, Otchere, I, Lamelas, A, Buultjens, A, Bulach, D, Baines, S, Seemann, T, Giulieri, S, Nakobu, Z, Aboagye, S, Owusu-Mireku, E, Danso, E, Hauser, J, Hinic, V, Pluschke, G, Stinear, T, Yeboah-Manu, D, Elshayeb, A, Siddig, ME, Ahmed, AA, Hussien, AE, Kabwe, M, Tembo, J, Chilukutu, L, Chilufya, M, Ngulube, F, Lukwesa, C, Enne, V, Wexner, H, Mwananyanda, L, Hamer, D, Sinyangwe, S, Ahmed, Y, Klein, N, Maeurer, M, Zumla, A, Bates, M, Beyala, L, Etienne, G, Anthony, N, Benjamin, A, Ateudjieu, J, Chibwe, B, Ojok, D, Tarr, CA, Perez, GM, Omeonga, S, Kibungu, F, Meyer, A, Lansana, P, Mayor, A, Onyango, P, Van Loggerenberg, F, Furtado, T, Boggs, L, Segrt, A, Dochez, C, Burnett, R, Mphahlele, MJ, Miiro, G, Mbidde, E, Peshu, N, Kivaya, E, Ngowi, B, Kavishe, R, Maowia, M, Sandstrom, E, Ayuo, E, Mmbaga, B, Leisegang, C, Thorpe, M, Batchilly, E, N'Guessan, J-P, Kanteh, D, Søfteland, S, Sebitloane, M, Vwalika, B, Taylor, M, Galappaththi-Arachchige, H, Holmen, S, Gundersen, SG, Ndhlovu, P, Kjetland, EF, Kombe, F, Toohey, J, Pienaar, E, Kredo, T, Cham, PM, Abubakar, I, Dondeh, BL, Vischer, N, Pfeiffer, C, Burri, C, Musukwa, K, Zürcher, S, Mwandu, T, Bauer, S, Adriko, M, Mwaura, P, Omolloh, K, Jones, C, Malecela, M, Hamidu, BA, Jenner, TE, Asiedu, LJ, Osei-Atweneboana, M, Afeke, I, Addo, P, Newman, M, Durnez, L, Eddyani, M, Ammisah, N, Abas, M, Quartey, M, Ablordey, A, Akinwale, O, Adeneye, A, Ezeugwu, S, Olukosi, Y, Adewale, B, Sulyman, M, Mafe, M, Okwuzu, J, Gyang, P, Nwafor, T, Henry, U, Musa, B, Ujah, I, Agobé, JCD, Grau-Pujol, B, Sacoor, C, Nhabomba, A, Casellas, A, Quintó, L, Subirà, C, Giné, R, Valentín, A, Muñoz, J, Nikiema, M, Ky-Ba, A, Comapore, KAM, Sangare, L, Oluremi, A, Michel, M, Camara, Y, Sanneh, B, Cuamba, I, Gutiérrez, J, Lázaro, C, Mejia, R, Adedeji, A, Folorunsho, S, Demehin, P, Akinsanya, B, Cowley, G, Da Silva, ET, Nabicassa, M, De Barros, PDP, Blif, MM, Bailey, R, Last, A, Mahendradhata, Y, Gotuzzo, E, De Nys, K, Casteels, M, Nona, SK, Lumeka, K, Todagbe, A, Djima, MM, Ukpong, M, Sagay, A, Khamofu, H, Torpey, K, Afiadigwe, E, Anenih, J, Ezechi, O, Nweneka, C, Idoko, J, Muhumuza, S, Katahoire, A, Nuwaha, F, Olsen, A, Okeyo, S, Omollo, R, Kimutai, R, Ochieng, M, Egondi, T, Moonga, C, Chileshe, C, Magwende, G, Anumudu, C, Onile, O, Oladele, V, Adebayo, A, Awobode, H, Oyeyemi, O, Odaibo, A, Kabuye, E, Lutalo, T, Njua-Yafi, C, Nkuo-Akenji, T, Anchang-Kimbi, J, Mugri, R, Chi, H, Tata, R, Njumkeng, C, Dodoo, D, Achidi, E, Fernandes, J, Bache, EB, Matakala, K, Searle, K, Greenman, M, and Rainwater-Lovett, K
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- 2017
8. Drug resistance and genetic profile of bacterial species associated with Buruli ulcer wound infections in two districts of Ghana
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Kpeli, G, Otchere, I, Lamelas, A, Buultjens, A, Bulach, D, Baines, S, Seemann, T, Giulieri, S, Nakobu, Z, Aboagye, S, Owusu-Mireku, E, Danso, E, Hauser, J, Hinic, V, Pluschke, G, Stinear, T, Yeboah-Manu, D, Kpeli, G, Otchere, I, Lamelas, A, Buultjens, A, Bulach, D, Baines, S, Seemann, T, Giulieri, S, Nakobu, Z, Aboagye, S, Owusu-Mireku, E, Danso, E, Hauser, J, Hinic, V, Pluschke, G, Stinear, T, and Yeboah-Manu, D
- Abstract
Background: We identified secondary infection of Buruli ulcer (BU) wounds as a cause of healing delay. In order to contribute to the improvement of wound management and reduction of healing delay, we initiated a study to gain understanding of the possible routes of infection and also characterised the resistant profiles of Gram negative bacteria isolated from the wounds of patients attending two health facilities in Ghana. Methods: Staphylococcus aureus isolates were characterised by the spa gene, mecA and the Pantone Valentine Leukocidin (PVL) toxin followed by spa sequencing and whole genome sequencing of a subset of isolates. Phenotypic antibiotic susceptibility testing of Gram negative clinical isolates was performed and multidrug-resistant Pseudomonas aeruginosa identified. The Enterobacteriaceae were further investigated for ESBL and carbapenem production, and some resistance conferring genes were analysed by PCR. Results: Twenty-four isolates were identified as methicillin-resistant S. aureus (MRSA), and lukFS genes encoding PVL were identified in 67 isolates. Typing and sequencing of the spa gene from 91 isolates identified 29 different spa types with t355 (ST152), t186 (ST88), and t346 dominating. While many distinct strains were isolated from both health centres, genotype clustering was identified within centres pointing to possible health care-associated transmission. Phylogenomic analysis confirmed these clusters. Among the GNB, phenotype screening showed widespread resistance to ampicillin, chloramphenicol, ticarcillin-clavulanic acid, cefuroxime and sulphamethoxazole-trimethoprim. ESBL production was confirmed in 15 isolates phenotypically while 61.5% of screen-positive isolates harboured at least one ESBL-conferring gene. Carbapenem encoding genes were detected in 41% of the isolates. Conclusions: Our findings indicate that the health-care environment likely contributes to superinfection of BU wounds and calls for training in wound management and infe
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- 2017
9. Human-Computer Symbiotic Cooperation in Robot-Sensor Networks.
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Hinic, V., Petriu, E.M., and Whalen, T.E.
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- 2007
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10. Extended Characterization of Corynebacterium pyruviciproducensBased on Clinical Strains from Canada and Switzerland
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Goldenberger, D., Hinic, V., Turan, S., Schultheiss, E., Pacheco, A. L., Frei, R., and Bernard, K.
- Abstract
ABSTRACTThe species Corynebacterium pyruviciproducenswas described in 2010 based on the features of a single strain. In this report, we describe the chemotaxonomic and phenotypic characteristics of 11 C. pyruviciproducensclinical strains isolated in Switzerland and Canada in comparison to the strain 06-17730T. Heterogeneities within the type strain were found in the 16S rRNA gene and in biochemical markers. Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) identification of this species could not be achieved since currently this bacterial species is not included in the corresponding database. Reliable identification is obtained only with sequence-based identification tools. Results of antimicrobial susceptibility testing of this species with an extended panel of antimicrobials are presented here for the first time.
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- 2014
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11. Corynebacterium tuberculostearicum: a Potentially Misidentified and Multiresistant CorynebacteriumSpecies Isolated from Clinical Specimens
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Hinic, V., Lang, C., Weisser, M., Straub, C., Frei, R., and Goldenberger, D.
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ABSTRACTCorynebacterium tuberculostearicumis a lipophilic corynebacterium validly characterized in 2004. We provide clinical information on 18 patients from whom this organism was isolated. The majority of the patients were hospitalized and had a history of prolonged treatment with broad-spectrum antimicrobials. In 7 (38.9%) of the 18 cases, the isolates were found to be clinically relevant. The present report also includes detailed data on the biochemical and molecular identification of C. tuberculostearicum, as well as its identification by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). Our data demonstrate that routine biochemical tests do not provide reliable identification of C. tuberculostearicum. MALDI-TOF MS represents a helpful tool for the identification of this species, since all of the strains matched C. tuberculostearicumas the first choice and 58.3% (7/12) of the strains processed with the full extraction protocol generated scores of >2.000. Nevertheless, partial 16S rRNA gene sequencing still represents the gold standard for the identification of this species. Due to the challenging identification of C. tuberculostearicum, we presume that this organism is often misidentified and its clinical relevance is underestimated. The antimicrobial susceptibility profile of C. tuberculostearicumpresented here reveals that 14 (87.5%) of the 16 strains analyzed exhibited multidrug resistance.
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- 2012
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12. GPT-4-based AI agents-the new expert system for detection of antimicrobial resistance mechanisms?
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Giske CG, Bressan M, Fiechter F, Hinic V, Mancini S, Nolte O, and Egli A
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The European Committee on Antimicrobial Susceptibility Testing (EUCAST) recommends two steps for detecting beta-lactamases in Gram-negative bacteria. Screening for potential extended-spectrum beta-lactamase (ESBL), plasmid-mediated AmpC beta-lactamase, or carbapenemase production is confirmed. We aimed to validate generative pre-trained transformer (GPT)-4 and GPT-agent for pre-classification of disk diffusion to indicate potential beta-lactamases. We assigned 225 Gram-negative isolates based on phenotypic resistances against beta-lactam antibiotics and additional tests to one or more resistance mechanisms as follows: "none," "ESBL," "AmpC," or "carbapenemase." Next, we customized a GPT-agent with EUCAST guidelines and breakpoint table (v13.1). We compared routine diagnostics (reference) to those of (i) EUCAST-GPT-expert, (ii) microbiologists, and (iii) non-customized GPT-4. We determined sensitivities and specificities to flag suspect resistances. Three microbiologists showed concordance in 814/862 (94.4%) phenotypic categories and were used in median eight words (interquartile range [IQR] 4-11) for reasoning. Median sensitivity/specificity for ESBL, AmpC, and carbapenemase were 98%/99.1%, 96.8%/97.1%, and 95.5%/98.5%, respectively. Three prompts of EUCAST-GPT-expert showed concordance in 706/862 (81.9%) categories but were used in median 158 words (IQR 140-174) for reasoning. Sensitivity/specificity for ESBL, AmpC, and carbapenemase prediction were 95.4%/69.23%, 96.9%/86.3%, and 100%/98.8%, respectively. Non-customized GPT-4 could interpret 169/862 (19.6%) categories, and 137/169 (81.1%) agreed with routine diagnostics. Non-customized GPT-4 was used in median 85 words (IQR 72-105) for reasoning. Microbiologists showed higher concordance and shorter argumentations compared to GPT-agents. Humans showed higher specificities compared to GPT-agents. GPT-agent's unspecific flagging of ESBL and AmpC potentially results in additional testing, diagnostic delays, and higher costs. GPT-4 is not approved by regulatory bodies, but validation of large language models is needed., Importance: The study titled "GPT-4-based AI agents-the new expert system for detection of antimicrobial resistance mechanisms?" is critically important as it explores the integration of advanced artificial intelligence (AI) technologies, like generative pre-trained transformer (GPT)-4, into the field of laboratory medicine, specifically in the diagnostics of antimicrobial resistance (AMR). With the growing challenge of AMR, there is a pressing need for innovative solutions that can enhance diagnostic accuracy and efficiency. This research assesses the capability of AI to support the existing two-step confirmatory process recommended by the European Committee on Antimicrobial Susceptibility Testing for detecting beta-lactamases in Gram-negative bacteria. By potentially speeding up and improving the precision of initial screenings, AI could reduce the time to appropriate treatment interventions. Furthermore, this study is vital for validating the reliability and safety of AI tools in clinical settings, ensuring they meet stringent regulatory standards before they can be broadly implemented. This could herald a significant shift in how laboratory diagnostics are performed, ultimately leading to better patient outcomes.
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- 2024
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13. Target Attainment and Population Pharmacokinetics of Cefazolin in Patients with Invasive Staphylococcus aureus Infections: A Prospective Cohort Study.
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Bausch S, Dräger S, Charitos-Fragkakis P, Egli A, Moser S, Hinic V, Kuehl R, Bassetti S, Siegemund M, Rentsch KM, Hermann L, Schöning V, Hammann F, Sendi P, and Osthoff M
- Abstract
This study aimed to determine cefazolin target attainment in patients with invasive Staphylococcus aureus ( S. aureus ) infections and to develop a population pharmacokinetic (PK) model. Adult patients with invasive S. aureus infections treated with cefazolin bolus infusions were included. Unbound and total trough and mid-dose cefazolin concentrations were measured, and strain-specific MICs were determined. The primary outcome was the proportion of patients attaining 100% f T
>MIC at all time points evaluated. A population PK model was developed, using non-linear mixed-effects modelling. Overall, 51 patients were included, with a total of 226 unbound and total cefazolin concentrations measured (mean: 4.4 per patient). The median daily dosage in patients with an estimated glomerular filtration rate of >60 mL/min/m2 was 8 g. The median age was 74 years (interquartile range (IQR) 57-82) and 26% were female. A history of chronic kidney disease and acute kidney injury were present in 10/51 (19.6%) and 6/51 (11.7%), respectively. Achievement of 100% f T>MIC occurred in 86% of the patients and decreased to 45% when a target of 100% f T>4xMIC was evaluated. The mean unbound cefazolin fraction was 27.0% (standard deviation (SD) 13.4). Measured and estimated mean cefazolin trough concentrations differed significantly [13.1 mg/L (SD 23.5) vs. 7.4 mg/L (SD 7.9), p < 0.001]. In the population PK model, elevated estimated creatinine clearance and bolus instead of continuous application were covariates for target non-attainment. In conclusion, cefazolin target achievement was high, and the measurement of the unbound cefazolin concentration may be favored. The Monte Carlo simulations indicated that target attainment was significantly improved with continuous infusion.- Published
- 2024
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14. Utilization of a Meningitis/Encephalitis PCR panel at the University Hospital Basel - a retrospective study to develop a diagnostic decision rule.
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Erba A, Franzeck FC, Hinic V, Egli A, and Osthoff M
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Background: The Biofire
® FilmArray® Meningitis/Encephalitis (ME) PCR panel covers 14 viral, bacterial, and fungal pathogens and has been implemented in many institutions worldwide. Post-marketing studies indicate a reduced sensitivity and overutilization underscoring the need for a more targeted usage. The aim of our study is to describe the utilization of the ME panel and to develop a diagnostic-stewardship based decision rule., Materials: Adult patients, who underwent CSF analysis with the ME panel between August 2016 and June 2021 at the University Hospital Basel, were included. Demographic, clinical, microbiological, and laboratory data were extracted from the electronic health record. Factors associated with a positive ME panel result were identified, and a decision rule was developed to potentially optimize the diagnostic yield and reduce the number of unnecessary tests., Results: 1,236 adult patients received at least one panel in the observed period, of whom 106 panels tested positive (8.6%). The most frequently observed pathogens were Varicella Zoster Virus (VZV, 27%), Streptococcus pneumoniae (19%), Enterovirus (16%), Herpes simplex Virus 1/2 (16%), and Human Herpesvirus 6 (HHV-6, 13%). Fever, vomiting, headache, and photophobia were more frequently present in test positive patients as were significantly higher CSF leukocytes and protein concentrations. When simulating a decision rule based on CSF leukocytes and protein concentration, only 35% of all patients would have qualified for a ME panel tests, thereby increasing the positivity rate to 22.7%. 10 of 106 positive ME panels would have been missed, only involving HHV-6 and VZV (6 and 4 cases, respectively). As these subjects were either severely immunocompromised or had clinical features of shingles we propose extending the testing algorithm by including those criteria., Conclusion: The ME panel positivity rate at our institution was similar as previously published. Our results highlight the need for diagnostic-stewardship interventions when utilizing this assay by implementing a stepwise approach based on a limited number of clinical and laboratory features. This decision rule may improve the pretest probability of a positive test result, increase the quality of test utilization, and reduce costs., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Erba, Franzeck, Hinic, Egli and Osthoff.)- Published
- 2024
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15. Factors associated with non-carbapenemase mediated carbapenem resistance of Gram-negative bacteria: a retrospective case-control study.
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Müller M, Wiencierz A, Gehringer C, Muigg V, Bassetti S, Siegemund M, Hinic V, Tschudin-Sutter S, and Egli A
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- Humans, Case-Control Studies, Retrospective Studies, Carbapenems pharmacology, beta-Lactamases, Microbial Sensitivity Tests, Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents therapeutic use, Gram-Negative Bacteria, Bacterial Proteins
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Infections with carbapenemase-producing Gram-negative bacteria are related to increased morbidity and mortality, yet little is known regarding infections caused by non-beta-lactamase mediated carbapenem-resistant bacteria. Our objective was to identify risk factors for, and the clinical impact of infections caused by carbapenem-resistant carbapenemase-negative Enterobacterales and Pseudomonas aeruginosa. This retrospective matched case-control study was performed at the University Hospital of Basel, Switzerland, in 2016. We focused on other resistance mechanisms by excluding laboratory-confirmed carbapenemase-positive cases. Carbapenem resistance was set as the primary endpoint, and important risk factors were investigated by conditional logistic regression. The clinical impact of carbapenem resistance was estimated using regression models containing the resistance indicator as explanatory factor and adjusting for potential confounders. Seventy-five cases of infections with carbapenem-resistant, carbapenemase-negative bacteria were identified and matched with 75 controls with carbapenem-susceptible infections. The matched data set was well-balanced regarding age, gender, and comorbidity. Duration of prior carbapenem treatment (OR 1.15, [1.01, 1.31]) correlated with resistance to carbapenems. Our study showed that patients with carbapenem-resistant bacteria stayed 1.59 times (CI [0.81, 3.14]) longer in an ICU. The analyzed dataset did not provide evidence for strong clinical implications of resistance to carbapenems or increased mortality. The duration of prior carbapenem treatment seems to be a strong risk factor for the development of carbapenem resistance. The higher risk for a longer ICU stay could be a consequence of a carbapenem resistance. In contrast to carbapenemase-producers, the clinical impact of carbapenamase-negative, carbapenem-resistant strains may be limited. Trial registration: The study design was prospectively approved by the local Ethics Commission on 10.08.2017 (EKNZ BASEC 2017-00222)., (© 2023. The Author(s).)
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- 2024
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16. Evaluation of the clinical relevance of the Biofire © FilmArray pneumonia panel among hospitalized patients.
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Søgaard KK, Hinic V, Goldenberger D, Gensch A, Schweitzer M, Bättig V, Siegemund M, Bassetti S, Bingisser R, Tamm M, Battegay M, Weisser M, Stolz D, Khanna N, and Egli A
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- Male, Adult, Humans, Aged, Female, Bacteria, Anti-Bacterial Agents, Sensitivity and Specificity, Clinical Relevance, Pneumonia diagnosis
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Purpose: Panel PCR tests provide rapid pathogen identification. However, their diagnostic performance is unclear. We assessed the performance of the Biofire
© FilmArray pneumonia (PN)-panel against standard culture in broncho-alveolar lavage (BAL) samples., Methods: Setting: University Hospital Basel (February 2019 to July 2020), including hospitalized patients with a BAL (± pneumonia). We determined sensitivity and specificity of the PN-panel against standard culture. Using univariate logistic regression, we calculated odds ratios (OR) for pneumonia according to PN-panel and culture status, stratifying by chronic pulmonary disease. We calculated ORs for pneumonia for different pathogens to estimate the clinical relevance., Results: We included 840 adult patients, 60% were males, median age was 68 years, 35% had chronic pulmonary disease, 21% had pneumonia, and 36% had recent antibiotic use. In 1078 BAL samples, bacterial pathogens were detected in 36% and 16% with PN-panel and culture, respectively. The overall sensitivity and specificity of the PN-panel was high, whereas the positive predictive value was low. The OR of pneumonia was 1.1 (95% CI 0.7-1.6) for PN-panel-positive only; 2.6 (95% CI 1.3-5.3) for culture-positive only, and 1.6 (95% CI 1.0-2.4) for PN-panel and culture-positive. The detection rate of Haemophilus influenzae, Staphylococcus aureus, and Moraxella catarrhalis in the PN-panel was high but not associated with pneumonia., Conclusion: While sensitivity and specificity of PN-panel are high compared to culture, pathogen detection did not correlate well with a pneumonia diagnosis. Patients with culture-positive BAL had the highest OR for pneumonia-thus the impact of the PN-panel on clinical management needs further evaluation in randomized controlled trials., (© 2023. The Author(s).)- Published
- 2024
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17. Evaluation of the RESIST ACINETO multiplex immunochromatographic assay for detection of OXA-23-like, OXA-40/58-like and NDM carbapenemase production in Acinetobacter baumannii.
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Mancini S, Seth-Smith HMB, Kolesnik-Goldmann N, Hinic V, Roloff T, Imkamp F, and Egli A
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- Bacterial Proteins genetics, Bacterial Proteins analysis, beta-Lactamases genetics, beta-Lactamases analysis, Anti-Bacterial Agents pharmacology, Microbial Sensitivity Tests, Acinetobacter baumannii
- Published
- 2023
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18. Identification of microorganisms by a rapid PCR panel from positive blood cultures leads to faster optimal antimicrobial therapy - a before-after study.
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Agnetti J, Büchler AC, Osthoff M, Helfenstein F, Weisser M, Siegemund M, Bassetti S, Bingisser R, Schaefer DJ, Clauss M, Hinic V, Tschudin-Sutter S, Bättig V, Khanna N, and Egli A
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- Adult, Humans, Anti-Bacterial Agents therapeutic use, Blood Culture, Controlled Before-After Studies, Polymerase Chain Reaction, Retrospective Studies, Anti-Infective Agents, Bacteremia diagnosis, Bacteremia drug therapy
- Abstract
Background: The BioFire® FilmArray® Blood Culture Identification Panel 1 (BF-FA-BCIP) detects microorganisms with high accuracy in positive blood cultures (BC) - a key step in the management of patients with suspected bacteraemia. We aimed to compare the time to optimal antimicrobial therapy (OAT) for the BF-FA-BCIP vs. standard culture-based identification., Methods: In this retrospective single-centre study with a before-after design, 386 positive BC cases with identification by BF-FA-BCIP were compared to 414 controls with culture-based identification. The primary endpoint was the time from BC sampling to OAT. Secondary endpoints were time to effective therapy, length of stay, (re-)admission to ICU, in-hospital and 30-day mortality. Outcomes were assessed using Cox proportional hazard models and logistic regressions., Results: Baseline characteristics of included adult inpatients were comparable. Main sources of bacteraemia were urinary tract and intra-abdominal infection (19.2% vs. 22.0% and 16.8% vs. 15.7%, for cases and controls, respectively). Median (95%CI) time to OAT was 25.5 (21.0-31.2) hours with BF-FA-BCIP compared to 45.7 (37.7-51.4) hours with culture-based identification. We observed no significant difference for secondary outcomes., Conclusions: Rapid microorganism identification by BF-FA-BCIP was associated with a median 20-h earlier initiation of OAT in patients with positive BC. No impact on length of stay and mortality was noted., Trial Registration: Clinicaltrials.gov, NCT04156633, registered on November 5, 2019., (© 2023. The Author(s).)
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- 2023
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19. Factors impacting the pre-analytical quality of blood cultures-Analysis at a tertiary medical center.
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Romann L, Werlen L, Rommers N, Hermann A, Gisler I, Bassetti S, Bingisser R, Siegemund M, Roloff T, Weisser M, Muigg V, Hinic V, Osthoff M, Franzeck FC, and Egli A
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- Humans, Blood Culture methods, Phlebotomy methods, Hematologic Tests, Hospitals, Sepsis diagnosis, Bacteremia microbiology
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Background: Blood cultures (BC) are critical for the diagnosis of bloodstream infections, pathogen identification, and resistance testing. Guidelines recommend a blood volume of 8-10 mL per bottle as lower volumes result in decreased sensitivity. We aimed to evaluate factors for non-adherence to recommended volumes and assess the effects on diagnostic performance., Methods: From February to April 2020, we measured collected blood volumes by weighing all BC containers from inpatient samples at the University Hospital Basel. Information on BC volumes was merged with clinical and microbiological data, as well as nursing staff schedules. We analyzed factors associated with (i) BC sampling volume, (ii) reaching recommended volumes (≥8 mL), (iii) BC positivity, and (iv) time to positivity using linear and generalized linear mixed effect models., Results: We evaluated a total of 4'118 BC bottles collected from 686 patients. A total of 1'495 (36.3%) of all bottles contained the recommended filling volume of ≥8 mL. Using a central venous and arterial catheter for drawing blood resulted in an increase of filling volume by 0.26 mL (95% CI 0.10, 0.41) and 0.50 mL (95% CI 0.31, 0.69) compared to peripheral venipuncture, respectively. Each additional nursing staff working at the time of blood drawing was associated with 6% higher odds of achieving the recommended filling volume. We found no significant correlation between the filling volume and the positivity rate., Conclusion: Our results indicate critical pre-analytical quality markers linked to BC collection procedures to reach recommended collection volumes. No significant impact on the positivity rate was found., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Romann et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
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20. [Better Late than Never - Fever of Unknown Origin in a Patient with a Prosthetic Valve].
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Glatz TS, Hinic V, Martinez AE, Eckstein F, Bassetti S, and Osthoff M
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- Humans, Positron Emission Tomography Computed Tomography adverse effects, Aortic Valve diagnostic imaging, Aortic Valve surgery, Endocarditis, Bacterial etiology, Endocarditis, Bacterial microbiology, Heart Valve Prosthesis adverse effects, Heart Valve Prosthesis microbiology, Fever of Unknown Origin etiology
- Abstract
Better Late than Never - Fever of Unknown Origin in a Patient with a Prosthetic Valve Abstract. A patient presents with worsening of his general condition, chills and dyspnoea on exertion. With a history of aortic valve replacement, infective endocarditis is suspected, but due to negative imaging by transesophageal echocardiography and negative blood cultures cannot be confirmed. Finally, Cutibacterium acnes prosthetic valve endocarditis is diagnosed after culture of C. acnes during an extended incubation period of blood cultures, the presence of embolic complications and a characteristic finding on PET-CT scan.
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- 2022
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21. Diagnostic challenges within the Bacillus cereus- group: finding the beast without teeth.
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Muigg V, Cuénod A, Purushothaman S, Siegemund M, Wittwer M, Pflüger V, Schmidt KM, Weisser M, Ritz N, Widmer A, Goldenberger D, Hinic V, Roloff T, Søgaard KK, Egli A, and Seth-Smith HMB
- Abstract
The Bacillus cereus -group ( B. cereus sensu lato ) includes common, usually avirulent species, often considered contaminants of patient samples in routine microbiological diagnostics, as well as the highly virulent B. anthracis . Here we describe 16 isolates from 15 patients, identified as B. cereus -group using a MALDI-TOF MS standard database. Whole genome sequencing (WGS) analysis identified five of the isolates as B. anthracis species not carrying the typical virulence plasmids pXO1 and pXO2, four isolates as B. paranthracis, three as B. cereus sensu stricto , two as B. thuringiensis , one as B. mobilis , and one isolate represents a previously undefined species of Bacillus ( B. basilensis sp. nov.). More detailed analysis using alternative MALDI-TOF MS databases, biochemical phenotyping, and diagnostic PCRs, gave further conflicting species results. These cases highlight the difficulties in identifying avirulent B. anthracis within the B. cereus -group using standard methods. WGS and alternative MALDI-TOF MS databases offer more accurate species identification, but so far are not routinely applied. We discuss the diagnostic resolution and discrepancies of various identification methods., (© 2022 The Authors.)
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- 2022
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22. Patients exposed to vancomycin-resistant enterococci during in-hospital outbreaks in a low endemic setting: a proposal for risk-based screening.
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Büchler AC, Ragozzino S, Wicki M, Spaniol V, Jäger S, Seth-Smith HMB, Goldenberger D, Hinic V, Egli A, Frei R, and Widmer AF
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- Disease Outbreaks prevention & control, Hospitals, Humans, Retrospective Studies, Cross Infection prevention & control, Gram-Positive Bacterial Infections prevention & control, Vancomycin-Resistant Enterococci
- Abstract
Background: The optimal extent of screening of contact patients (CoPat) after exposure to patients infected or colonized with vancomycin-resistant enterococci (VRE) remains controversial., Methods: We retrospectively developed a new risk stratification for screening patients exposed to VRE, based on data from three outbreaks-two with Enterococcus faecium vanB and one with Enterococcus faecium vanA involving 1096 CoPat-in a low endemic setting. We classified them into four risk groups: three on environmental exposure, one by healthcare exposure: high (sharing the same room/bathroom with a VRE-colonized patient), medium (hospitalization in the same room after a VRE-colonized patient's discharge until terminal disinfection including ultraviolet C (UVc)-disinfection), low (hospitalized in the same room within three weeks before the VRE-colonized patient), and "staff" (screening of patients having the same medical care team)., Results: VRE-transmission occurred in 7.9% in the high-risk group compared to 0.6% and 0% in the medium and low risk groups. There was a significant trend to higher rates of transmission by risk level of exposure (p < 0.001). In the "staff" group, VRE transmission rate was 2.3%., Conclusion: Based on this stratification, we recommend to focus screening of exposed CoPat on the high-risk and "staff" group, saving resources and costs, but larger studies will allow to further improve the yield of VRE screening in the outbreak setting., (© 2022. The Author(s).)
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- 2022
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23. Colistin resistance in Gram-negative bacteria analysed by five phenotypic assays and inference of the underlying genomic mechanisms.
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Torres DA, Seth-Smith HMB, Joosse N, Lang C, Dubuis O, Nüesch-Inderbinen M, Hinic V, and Egli A
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- Bacterial Proteins genetics, Bacterial Proteins metabolism, Genomics, Gram-Negative Bacteria classification, Gram-Negative Bacteria isolation & purification, Gram-Negative Bacterial Infections microbiology, Humans, Microbial Sensitivity Tests, Mutation, Phenotype, Plasmids genetics, Plasmids metabolism, Anti-Bacterial Agents pharmacology, Colistin pharmacology, Drug Resistance, Bacterial, Gram-Negative Bacteria drug effects, Gram-Negative Bacteria genetics
- Abstract
Background: Colistin is used against multi-drug resistant pathogens, yet resistance emerges through dissemination of plasmid-mediated genes (mcr) or chromosomal mutation of genes involved in lipopolysaccharide synthesis (i.e. mgrB, phoPQ, pmrCAB). Phenotypic susceptibility testing is challenging due to poor diffusion of colistin in agar media, leading to an underestimation of resistance. Performance of five phenotypic approaches was compared in the context of different molecular mechanisms of resistance. We evaluated Vitek 2® (bioMérieux, AST N242), Colistin MIC Test Strip (Liofilchem Diagnostici), UMIC (Biocentric), and Rapid Polymyxin™ NP test (ELITechGroup) against the standard broth microdilution (BMD) method. We used whole genome sequencing (WGS) to infer molecular resistance mechanisms. We analysed 97 Enterobacterales and non-fermenting bacterial isolates, largely clinical isolates collected up to 2018. Data was analysed by comparing susceptibility categories (susceptible or resistant) and minimal inhibitory concentrations (MIC). Susceptibility category concordance is the percentage of test results sharing the same category to BMD. MIC concordance was calculated similarly but considering ±1 MIC titre error range. We determined genomic diversity by core genome multi locus sequencing typing (cgMLST) and identified putative antimicrobial resistance genes using NCBI and CARD databases, and manual annotation., Results: Of 97 isolates, 54 (56%) were resistant with standard BMD. Highest susceptibility category concordance was achieved by Rapid Polymyxin™ NP (98.8%) followed by UMIC (97.9%), Colistin E-test MIC strip (96.9%) and Vitek 2® (95.6%). Highest MIC concordance was achieved by UMIC (80.4%), followed by Vitek 2® (72.5%) and Colistin E-test MIC strip (62.9%). Among resistant isolates, 23/54 (43%) were intrinsically resistant to colistin, whereas 31/54 (57%) isolates had acquired colistin resistance. Of these, mcr-1 was detected in four isolates and mcr-2 in one isolate. Non-synonymous mutations in mgrB, phoQ, pmrA, pmrB, and pmrC genes were encountered in Klebsiella pneumoniae, Escherichia coli, and Acinetobacter bereziniae resistant isolates. Mutations found in mgrB and pmrB were only identified in isolates exhibiting MICs of ≥16 mg/L., Conclusions: The Rapid Polymyxin™ NP test showed highest categorical concordance and the UMIC test provided MIC values with high concordance to BMD. We found colistin resistance in diverse species occurred predominantly through spontaneous chromosomal mutation rather than plasmid-mediated resistance., (© 2021. The Author(s).)
- Published
- 2021
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24. Probability of pharmacological target attainment with flucloxacillin in Staphylococcus aureus bloodstream infection: a prospective cohort study of unbound plasma and individual MICs.
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Moser S, Rehm S, Guertler N, Hinic V, Dräger S, Bassetti S, Rentsch KM, Sendi P, and Osthoff M
- Subjects
- Anti-Bacterial Agents adverse effects, Critical Illness, Floxacillin adverse effects, Humans, Microbial Sensitivity Tests, Probability, Prospective Studies, Staphylococcus aureus, Pharmaceutical Preparations, Sepsis drug therapy
- Abstract
Objectives: MSSA bloodstream infections (BSIs) are associated with considerable mortality. Data regarding therapeutic drug monitoring (TDM) and pharmacological target attainment of the β-lactam flucloxacillin are scarce., Patients and Methods: We determined the achievement of pharmacokinetic/pharmacodynamic targets and its association with clinical outcome and potential toxicity in a prospective cohort of 50 patients with MSSA-BSI. Strain-specific MICs and unbound plasma flucloxacillin concentrations (at five different timepoints) were determined by broth microdilution and HPLC-MS, respectively., Results: In our study population, 48% were critically ill and the 30 day mortality rate was 16%. The median flucloxacillin MIC was 0.125 mg/L. The median unbound trough concentration was 1.7 (IQR 0.4-9.3), 1.9 (IQR 0.4-6.2) and 1.0 (IQR 0.6-3.4) mg/L on study day 1, 3 and 7, respectively. Optimal (100% fT>MIC) and maximum (100% fT>4×MIC) target attainment was achieved in 45 (90%) and 34 (68%) patients, respectively, throughout the study period. Conversely, when using the EUCAST epidemiological cut-off value instead of strain-specific MICs, target attainment was achieved in only 13 (26%) patients. The mean unbound flucloxacillin trough concentration per patient was associated with neurotoxicity (OR 1.12 per 1 mg/L increase, P = 0.02) and significantly higher in deceased patients (median 14.8 versus 1.7 mg/L, P = 0.01)., Conclusions: Flucloxacillin pharmacological target attainment in MSSA-BSI patients is frequently achieved when unbound flucloxacillin concentrations and strain-specific MICs are considered. However, currently recommended dosing regimens may expose patients to excessive flucloxacillin concentrations, potentially resulting in drug-related organ damage., (© The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.)
- Published
- 2021
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25. Transition From PCR-Ribotyping to Whole Genome Sequencing Based Typing of Clostridioides difficile .
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Seth-Smith HMB, Biggel M, Roloff T, Hinic V, Bodmer T, Risch M, Casanova C, Widmer A, Sommerstein R, Marschall J, Tschudin-Sutter S, and Egli A
- Subjects
- Clostridioides, Humans, Multilocus Sequence Typing, Polymerase Chain Reaction, Ribotyping, Switzerland, Whole Genome Sequencing, Clostridioides difficile genetics, Clostridium Infections diagnosis
- Abstract
Clostridioides difficile causes nosocomial outbreaks which can lead to severe and even life-threatening colitis. Rapid molecular diagnostic tests allow the identification of toxin-producing, potentially hypervirulent strains, which is critical for patient management and infection control. PCR-ribotyping has been used for decades as the reference standard to investigate transmission in suspected outbreaks. However, the introduction of whole genome sequencing (WGS) for molecular epidemiology provides a realistic alternative to PCR-ribotyping. In this transition phase it is crucial to understand the strengths and weaknesses of the two technologies, and to assess their correlation. We aimed to investigate ribotype prediction from WGS data, and options for analysis at different levels of analytical granularity. Ribotypes cannot be directly determined from short read Illumina sequence data as the rRNA operons including the ribotype-defining ISR fragments collapse in genome assemblies, and comparison with traditional PCR-ribotyping results becomes impossible. Ribotype extraction from long read Oxford nanopore data also requires optimization. We have compared WGS-based typing with PCR-ribotyping in nearly 300 clinical and environmental isolates from Switzerland, and in addition from the Enterobase database (n=1778). Our results show that while multi-locus sequence type (MLST) often correlates with a specific ribotype, the agreement is not complete, and for some ribotypes the resolution is insufficient. Using core genome MLST (cgMLST) analysis, there is an improved resolution and ribotypes can often be predicted within clusters, using cutoffs of 30-50 allele differences. The exceptions are ribotypes within known ribotype complexes such as RT078/RT106, where the genome differences in cgMLST do not reflect the ribotype segregation. We show that different ribotype clusters display different degrees of diversity, which could be important for the definition of ribotype cluster specific cutoffs. WGS-based analysis offers the ultimate resolution to the SNP level, enabling exploration of patient-to-patient transmission. PCR-ribotyping does not sufficiently discriminate to prove nosocomial transmission with certainty. We discuss the associated challenges and opportunities in a switch to WGS from conventional ribotyping for C. difficile ., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Seth-Smith, Biggel, Roloff, Hinic, Bodmer, Risch, Casanova, Widmer, Sommerstein, Marschall, Tschudin-Sutter and Egli.)
- Published
- 2021
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26. Unexpectedly High False-Positive Rates for Haemophilus influenzae Using a Meningoencephalitis Syndromic PCR Panel in Two Tertiary Centers.
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Zanella MC, Cherkaoui A, Hinic V, Renzi G, Goldenberger D, Egli A, and Schrenzel J
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- Diagnostic Tests, Routine, Haemophilus influenzae, Humans, Retrospective Studies, Meningitis, Meningoencephalitis
- Abstract
False-positive results in the diagnostic of meningitis and encephalitis pose important challenges. This study aimed to determine false-positive rates for Haemophilus influenzae in cerebrospinal fluids evaluated by the BioFire FilmArray
® Meningitis/Encephalitis Panel. We conducted a retrospective study of all H. influenzae -positive FilmArray® . Meningitis/Encephalitis Panel results from June 2016 to October 2019 in two Swiss university hospitals. Cases were classified as true positive, likely true-positive, and likely false-positive results according to cerebrospinal fluid culture, H. influenzae -specific quantitative real-time PCR (qPCR), and Gram staining, as well as culture of other materials. We performed 3,082 panels corresponding to 2,895 patients: 0.6% of the samples (18/3,082) were positive for H. influenzae . Culture and H. influenzae -specific qPCR were performed on 17/18 (94.4%) and 3/18 (16.7%) cerebrospinal fluid samples, respectively; qPCR was negative in all cases. Among 17 samples sent for culture, 10 concerned patients were not treated with antibiotics prior to lumbar puncture. Only 1/17 revealed growth of H. influenzae and was classified as a true positive. We further classified 3/18 (16.7%) cases with the identification of Gram-negative rods in the cerebrospinal fluid or positive blood cultures for H. influenzae as likely true-positive and 14/18 (77.8%) cases as likely false-positive. Diagnostic results should always be interpreted together with the clinical presentation, cerebrospinal fluid analysis, and other available microbiological results. All H. influenzae -positive results should be viewed with special caution and a H. influenzae- specific qPCR should be systematically considered., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Zanella, Cherkaoui, Hinic, Renzi, Goldenberger, Egli and Schrenzel.)- Published
- 2021
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27. Corrigendum to: Epidemiology of Severe Acute Respiratory Syndrome Coronavirus 2 Emergence Amidst Community-Acquired Respiratory Viruses.
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Leuzinger K, Roloff T, Gosert R, Sogaard K, Naegele K, Rentsch K, Bingisser R, Nickel CH, Pargger H, Bassetti S, Bielicki J, Khanna N, Tschudin Sutter S, Widmer A, Hinic V, Battegay M, Egli A, and Hirsch HH
- Published
- 2021
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28. Two simultaneous cases of disseminated infections with Campylobacter fetus: clinical characteristics and molecular comparison.
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Durovic A, Seth-Smith HMB, Hinic V, Kurz M, Khanna N, and Egli A
- Subjects
- Aged, Aged, 80 and over, Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents therapeutic use, Campylobacter Infections drug therapy, Campylobacter fetus classification, Campylobacter fetus drug effects, Campylobacter fetus genetics, Female, Genome, Bacterial genetics, Humans, Male, Microbial Sensitivity Tests, Phylogeny, Polymorphism, Single Nucleotide, Sepsis drug therapy, Treatment Outcome, Campylobacter Infections diagnosis, Campylobacter fetus isolation & purification, Sepsis diagnosis
- Published
- 2021
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29. Relevance of Dermabacter hominis isolated from clinical samples, 2012-2016: a retrospective case series.
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Schaub C, Dräger S, Hinic V, Bassetti S, Frei R, and Osthoff M
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- Actinobacteria drug effects, Actinobacteria isolation & purification, Actinomycetales drug effects, Actinomycetales isolation & purification, Actinomycetales Infections drug therapy, Adult, Aged, Aged, 80 and over, Anti-Bacterial Agents therapeutic use, Bacterial Typing Techniques, DNA, Bacterial, Drug Resistance, Bacterial, Female, Humans, Male, Middle Aged, Penicillins pharmacology, Retrospective Studies, Vancomycin pharmacology, Actinobacteria classification, Actinomycetales classification, Actinomycetales Infections microbiology
- Abstract
We investigated the clinical relevance of Dermabacter hominis isolated from samples of 108 patients. Polymicrobial growth was evident in 88% of specimens. Isolation of D. hominis was of definitive or possible significance in only 14% of patients. Vancomycin remains the drug of choice given a penicillin resistance rate of 84%., (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2020
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30. Epidemiology of Severe Acute Respiratory Syndrome Coronavirus 2 Emergence Amidst Community-Acquired Respiratory Viruses.
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Leuzinger K, Roloff T, Gosert R, Sogaard K, Naegele K, Rentsch K, Bingisser R, Nickel CH, Pargger H, Bassetti S, Bielicki J, Khanna N, Tschudin Sutter S, Widmer A, Hinic V, Battegay M, Egli A, and Hirsch HH
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Betacoronavirus genetics, Betacoronavirus isolation & purification, COVID-19, COVID-19 Testing, Child, Child, Preschool, Clinical Laboratory Techniques, Coinfection immunology, Coinfection virology, Communicable Diseases, Emerging virology, Coronavirus Envelope Proteins, Coronavirus Infections diagnosis, Coronavirus Infections virology, Coronavirus Nucleocapsid Proteins, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Nucleocapsid Proteins genetics, Pandemics, Phosphoproteins, Pneumonia, Viral diagnosis, Pneumonia, Viral virology, Respiratory Tract Infections virology, SARS-CoV-2, Spike Glycoprotein, Coronavirus genetics, Viral Envelope Proteins, World Health Organization, Young Adult, Coinfection epidemiology, Communicable Diseases, Emerging epidemiology, Coronavirus Infections epidemiology, Pneumonia, Viral epidemiology, Respiratory Tract Infections epidemiology
- Abstract
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in China as the cause of coronavirus disease 2019 in December 2019 and reached Europe by late January 2020, when community-acquired respiratory viruses (CARVs) are at their annual peak. We validated the World Health Organization (WHO)-recommended SARS-CoV-2 assay and analyzed the epidemiology of SARS-CoV-2 and CARVs., Methods: Nasopharyngeal/oropharyngeal swabs (NOPS) from 7663 patients were prospectively tested by the Basel S-gene and WHO-based E-gene (Roche) assays in parallel using the Basel N-gene assay for confirmation. CARVs were prospectively tested in 2394 NOPS by multiplex nucleic acid testing, including 1816 (75%) simultaneously for SARS-CoV-2., Results: The Basel S-gene and Roche E-gene assays were concordant in 7475 cases (97.5%) including 825 (11%) SARS-CoV-2 positives. In 188 (2.5%) discordant cases, SARS-CoV-2 loads were significantly lower than in concordant positive ones and confirmed in 105 (1.4%). Adults were more frequently SARS-CoV-2 positive, whereas children tested more frequently CARV positive. CARV coinfections with SARS-CoV-2 occurred in 1.8%. SARS-CoV-2 replaced CARVs within 3 weeks, reaching 48% of all detected respiratory viruses followed by rhinovirus/enterovirus (13%), influenza virus (12%), coronavirus (9%), respiratory syncytial virus (6%), and metapneumovirus (6%)., Conclusions: Winter CARVs were dominant during the early SARS-CoV-2 pandemic, impacting infection control and treatment decisions, but were rapidly replaced, suggesting competitive infection. We hypothesize that preexisting immune memory and innate immune interference contribute to the different SARS-CoV-2 epidemiology among adults and children., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)
- Published
- 2020
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31. A Novel Lineage of Ceftriaxone-resistant Salmonella Typhi From India That Is Closely Related to XDR S. Typhi Found in Pakistan.
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Sah R, Donovan S, Seth-Smith HMB, Bloemberg G, Wüthrich D, Stephan R, Kataria S, Kumar M, Singla S, Deswal V, Kaur A, Neumayr A, Hinic V, Egli A, and Kuenzli E
- Subjects
- Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents therapeutic use, Ceftriaxone pharmacology, Humans, India epidemiology, Microbial Sensitivity Tests, Pakistan, Salmonella typhi genetics, Typhoid Fever drug therapy, Typhoid Fever epidemiology
- Abstract
Two MDR Salmonella Typhi isolates from India were found by whole genome sequencing to be closely related to the 2016 XDR S. Typhi outbreak strain from Pakistan. The Indian isolates have no chromosomal antimicrobial resistance cassette but carry the IncY plasmid p60006. Both isolates are susceptible to chloramphenicol, azithromycin, and carbapenems., (© The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)
- Published
- 2020
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32. Intra-Abdominal Nocardiosis-Case Report and Review of the Literature.
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Tramèr L, Mertz KD, Huegli R, Hinic V, Jost L, Burkhalter F, Wirz S, and Tarr PE
- Abstract
Nocardiosis is primarily an opportunistic infection affecting immunosuppressed individuals, in whom it most commonly presents as pulmonary infection and sometimes cerebral abscesses. Isolated abdominal or retroperitoneal nocardiosis is rare. Here, we report the second case, to our knowledge, of isolated abdominal nocardiosis due to Nocardia paucivorans and provide a comprehensive review of intra-abdominal nocardiosis. The acquisition of abdominal nocardiosis is believed to occur via hematogenous spreading after pulmonary or percutaneous inoculation or possibly via direct abdominal inoculation. Cases of Nocardia peritonitis have been reported in patients on peritoneal dialysis. Accurate diagnosis of abdominal nocardiosis requires histological and/or microbiological examination of appropriate, radiologically or surgically obtained biopsy specimens. Malignancy may initially be suspected when the patient presents with an abdominal mass. Successful therapy usually includes either percutaneous or surgical abscess drainage plus prolonged combination antimicrobial therapy.
- Published
- 2020
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33. Cefiderocol for Extensively Drug-Resistant Gram-Negative Bacterial Infections: Real-world Experience From a Case Series and Review of the Literature.
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Zingg S, Nicoletti GJ, Kuster S, Junker M, Widmer A, Egli A, Hinic V, Sendi P, Battegay M, Bättig V, Khanna N, and Tschudin-Sutter S
- Abstract
Cefiderocol is a new siderophore cephalosporin with activity against carbapenem-resistant gram-negative bacteria. Data on its clinical efficacy are limited to complicated urinary tract infections. We present a series of 3 patients successfully treated with cefiderocol for complicated health care-associated infections and review published case reports., (© The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)
- Published
- 2020
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34. Tick-Borne Relapsing Fever Caused by Borrelia persica in Traveler to Central Asia, 2019.
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Muigg V, Seth-Smith HMB, Goldenberger D, Egli A, Nickel B, Dürig R, Kuenzli E, Hinic V, and Neumayr A
- Subjects
- Asia, Humans, Switzerland, Borrelia genetics, Relapsing Fever diagnosis, Relapsing Fever drug therapy
- Abstract
We report a case of tick-borne relapsing fever caused by Borrelia persica in a traveler returning to Switzerland from central Asia. After the disease was diagnosed by blood smear microscopy, the causative Borrelia species was confirmed by shotgun metagenomics sequencing. PCR and sequencing techniques provide highly sensitive diagnostic tools superior to microscopy.
- Published
- 2020
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35. Genomic characterization of inpatient evolution of MRSA resistant to daptomycin, vancomycin and ceftaroline.
- Author
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Wüthrich D, Cuénod A, Hinic V, Morgenstern M, Khanna N, Egli A, and Kuehl R
- Subjects
- Cephalosporins pharmacology, Daptomycin pharmacology, Female, Genomics, Humans, Inpatients, Methicillin-Resistant Staphylococcus aureus isolation & purification, Microbial Sensitivity Tests, Middle Aged, Mutation, Polymorphism, Single Nucleotide, Staphylococcal Infections blood, Staphylococcal Infections microbiology, Vancomycin pharmacology, Ceftaroline, Anti-Bacterial Agents pharmacology, Drug Resistance, Multiple, Bacterial genetics, Evolution, Molecular, Methicillin-Resistant Staphylococcus aureus drug effects, Methicillin-Resistant Staphylococcus aureus genetics
- Published
- 2019
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36. Air-conditioner cooling towers as complex reservoirs and continuous source of Legionella pneumophila infection evidenced by a genomic analysis study in 2017, Switzerland.
- Author
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Wüthrich D, Gautsch S, Spieler-Denz R, Dubuis O, Gaia V, Moran-Gilad J, Hinic V, Seth-Smith HM, Nickel CH, Tschudin-Sutter S, Bassetti S, Haenggi M, Brodmann P, Fuchs S, and Egli A
- Subjects
- Adult, Disease Outbreaks, Genomics, Humans, Legionella pneumophila genetics, Legionnaires' Disease epidemiology, Phylogeny, Switzerland epidemiology, Water Microbiology, Water Supply, Legionella pneumophila isolation & purification, Legionnaires' Disease diagnosis, Multilocus Sequence Typing methods, Whole Genome Sequencing methods
- Abstract
IntroductionWater supply and air-conditioner cooling towers (ACCT) are potential sources of Legionella pneumophila infection in people. During outbreaks, traditional typing methods cannot sufficiently segregate L. pneumophila strains to reliably trace back transmissions to these artificial water systems. Moreover, because multiple L. pneumophila strains may be present within these systems, methods to adequately distinguish strains are needed. Whole genome sequencing (WGS) and core genome multilocus sequence typing (cgMLST), with their higher resolution are helpful in this respect. In summer 2017, the health administration of the city of Basel detected an increase of L. pneumophila infections compared with previous months, signalling an outbreak.AimWe aimed to identify L. pneumophila strains populating suspected environmental sources of the outbreak, and to assess the relations between these strains and clinical outbreak strains.MethodsAn epidemiological and WGS-based microbiological investigation was performed, involving isolates from the local water supply and two ACCTs (n = 60), clinical outbreak and non-outbreak related isolates from 2017 (n = 8) and historic isolates from 2003-2016 (n = 26).ResultsIn both ACCTs, multiple strains were found. Phylogenetic analysis of the ACCT isolates showed a diversity of a few hundred allelic differences in cgMLST. Furthermore, two isolates from one ACCT showed no allelic differences to three clinical isolates from 2017. Five clinical isolates collected in the Basel area in the last decade were also identical in cgMLST to recent isolates from the two ACCTs.ConclusionCurrent outbreak-related and historic isolates were linked to ACCTs, which form a complex environmental habitat where strains are conserved over years.
- Published
- 2019
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37. First report of sexually transmitted multi-drug resistant Shigella sonnei infections in Switzerland, investigated by whole genome sequencing.
- Author
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Hinic V, Seth-Smith H, Stöckle M, Goldenberger D, and Egli A
- Subjects
- Adult, Diarrhea etiology, Homosexuality, Male genetics, Humans, Male, Sexually Transmitted Diseases genetics, Shigella sonnei isolation & purification, Switzerland epidemiology, Drug Resistance, Multiple, Bacterial genetics, Sexually Transmitted Diseases epidemiology, Shigella sonnei genetics, Whole Genome Sequencing methods
- Abstract
Shigella sonnei causes foodborne infections, but has recently also been described as a sexually transmitted infection (STI), with increased levels of antimicrobial resistance. We describe three cases of sexually acquired Shigella sonnei infection - the first report of this emerging infection in Switzerland. We used in-house whole genome sequencing (WGS) to investigate possible transmission routes and epidemiological correlations between the three cases. The genomic analysis demonstrated that two of three case isolates were very closely related, with only two single nucleotide polymorphism differences between them, despite being isolated from two unrelated patients at time-points six months apart, and the infections having been acquired at different geographic locations within Europe. All three isolates were found to fall within two of the clusters (1 and 7) defined within UK men who have sex with men (MSM) isolate populations, but with higher divergence, suggesting a more diverse pool circulating within Europe. Phenotypic testing confirmed the genotypic findings, with all three isolates azithromycin resistant, and two out of three resistant to quinolones. This report underlines the importance of the implementation of new sequencing technologies in the investigation of epidemiological aspects of this STI circulating in the population of MSM. In such cases, therapy should always be guided by antimicrobial susceptibility testing owing to increasing resistances. Greater awareness of this emerging sexually transmitted infection is needed.
- Published
- 2018
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38. High prevalence of ESBL-Producing E. coli in private and shared latrines in an informal urban settlement in Dar es Salaam, Tanzania.
- Author
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Erb S, D'Mello-Guyett L, Malebo HM, Njee RM, Matwewe F, Ensink J, Hinic V, Widmer A, and Frei R
- Subjects
- Anti-Bacterial Agents, Electrophoresis, Gel, Pulsed-Field, Enterobacteriaceae drug effects, Enterobacteriaceae isolation & purification, Enterobacteriaceae metabolism, Escherichia coli drug effects, Escherichia coli Infections, Humans, Klebsiella Infections, Klebsiella pneumoniae drug effects, Klebsiella pneumoniae isolation & purification, Klebsiella pneumoniae metabolism, Microbial Sensitivity Tests, Prevalence, Tanzania, Escherichia coli isolation & purification, Escherichia coli metabolism, Feces microbiology, Toilet Facilities, beta-Lactamases metabolism
- Abstract
Background: Data about the burden of extended-spectrum beta-lactamase (ESBL)-producing microorganisms in Africa are limited. Our study aimed to estimate the prevalence of human faecal ESBL carriage in the community of an informal urban settlement in Dar es Salaam (Tanzania, East Africa) by using environmental contamination of household latrines with ESBL as a surrogate marker., Methods: Within the context of a large survey in February 2014 assessing 636 randomly selected household latrines for faecal contamination by the detection of growth of E. coli and total faecal coliform bacteria, a randomly selected subset of the samples were screened for ESBL., Results: Seventy latrines were screened for ESBL. An average of 11.4 persons (SD ±6.5) were sharing one latrine. Only three (4.3%) latrines had hand-washing facilities and 50 showed faeces on the floor. ESBL-producing Enterobacteriaceae were confirmed in 17 (24.3%) of the 70 latrine samples: 16 E. coli and 1 Klebsiella pneumoniae. Five ESBL E. coli strains were detected on door handles. The most prevalent ESBL type was CTX-M-1 group (76.5%). Pulsed-field gel electrophoresis typing of a subset of ESBL-producing E. coli isolates revealed both diverse singular types and a cluster of 3 identical isolates. There was no significant difference of the latrine and household characteristics between the group with ESBL ( n = 17) and the group with non-ESBL E. coli ( n = 53) ( p > 0.05)., Conclusions: Almost a quarter of private and shared latrines in an informal urban settlement in Tanzania are contaminated with ESBL-producing microorganisms, suggesting a high prevalence of human ESBL faecal carriage in the community. Shared latrines may serve as a reservoir for transmission in urban community settings in Tanzania., Competing Interests: The study was approved by the national ethics committee of the National Institute for Medical Research Tanzania (NIMR/HQ/R.8a/Vol.IX/1632).Not applicableThe authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
- Published
- 2018
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39. Association of Novel Nonsynonymous Single Nucleotide Polymorphisms in ampD with Cephalosporin Resistance and Phylogenetic Variations in ampC, ampR, ompF, and ompC in Enterobacter cloacae Isolates That Are Highly Resistant to Carbapenems.
- Author
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Babouee Flury B, Ellington MJ, Hopkins KL, Turton JF, Doumith M, Loy R, Staves P, Hinic V, Frei R, and Woodford N
- Subjects
- Bacterial Proteins metabolism, Carbapenems pharmacology, Cephalosporin Resistance genetics, Enterobacter cloacae classification, Enterobacter cloacae genetics, Enterobacter cloacae isolation & purification, Enterobacteriaceae Infections drug therapy, Enterobacteriaceae Infections microbiology, Humans, INDEL Mutation, Microbial Sensitivity Tests, Multilocus Sequence Typing, N-Acetylmuramoyl-L-alanine Amidase metabolism, Phylogeny, Polymorphism, Single Nucleotide, Porins metabolism, Promoter Regions, Genetic, Sequence Analysis, DNA, beta-Lactamases metabolism, Bacterial Proteins genetics, Enterobacter cloacae drug effects, Gene Expression Regulation, Bacterial, Genome, Bacterial, N-Acetylmuramoyl-L-alanine Amidase genetics, Porins genetics, beta-Lactamases genetics
- Abstract
InEnterobacter cloacae, the genetic lesions associated with derepression of the AmpC β-lactamase include diverse single nucleotide polymorphisms (SNPs) and/or indels in theampDandampRgenes and SNPs inampC, while diverse SNPs in the promoter region or SNPs/indels within the coding sequence of outer membrane proteins have been described to alter porin production leading to carbapenem resistance. We sought to define the underlying mechanisms conferring cephalosporin and carbapenem resistance in a collection ofE. cloacaeisolates with unusually high carbapenem resistance and no known carbapenemase and, in contrast to many previous studies, considered the SNPs we detected in relation to the multilocus sequence type (MLST)-based phylogeny of our collection. Whole-genome sequencing was applied on the most resistant isolates to seek novel carbapenemases, expression ofampCwas measured by reverse transcriptase PCR, and porin translation was detected by SDS-PAGE. SNPs occurring inampC,ampR,ompF, andompCgenes (and their promoter regions) were mostly phylogenetic variations, relating to the isolates' sequence types, whereas nonsynonymous SNPs inampDwere associated with derepression of AmpC and cephalosporin resistance. The additional loss of porins resulted in high-level carbapenem resistance, underlining the clinical importance of chromosomal mutations among carbapenem-resistantE. cloacae., (Copyright © 2016, American Society for Microbiology. All Rights Reserved.)
- Published
- 2016
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40. Corynebacterium tuberculostearicum: a potentially misidentified and multiresistant Corynebacterium species isolated from clinical specimens.
- Author
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Hinic V, Lang C, Weisser M, Straub C, Frei R, and Goldenberger D
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Bacterial Typing Techniques, Bacteriological Techniques methods, Corynebacterium chemistry, Corynebacterium classification, Corynebacterium Infections pathology, DNA, Bacterial chemistry, DNA, Bacterial genetics, DNA, Ribosomal chemistry, DNA, Ribosomal genetics, Female, Genotype, Hospitalization statistics & numerical data, Humans, Male, Middle Aged, Molecular Diagnostic Techniques methods, RNA, Ribosomal, 16S genetics, Sequence Analysis, DNA, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization methods, Young Adult, Corynebacterium drug effects, Corynebacterium isolation & purification, Corynebacterium Infections microbiology, Drug Resistance, Multiple, Bacterial
- Abstract
Corynebacterium tuberculostearicum is a lipophilic corynebacterium validly characterized in 2004. We provide clinical information on 18 patients from whom this organism was isolated. The majority of the patients were hospitalized and had a history of prolonged treatment with broad-spectrum antimicrobials. In 7 (38.9%) of the 18 cases, the isolates were found to be clinically relevant. The present report also includes detailed data on the biochemical and molecular identification of C. tuberculostearicum, as well as its identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Our data demonstrate that routine biochemical tests do not provide reliable identification of C. tuberculostearicum. MALDI-TOF MS represents a helpful tool for the identification of this species, since all of the strains matched C. tuberculostearicum as the first choice and 58.3% (7/12) of the strains processed with the full extraction protocol generated scores of >2.000. Nevertheless, partial 16S rRNA gene sequencing still represents the gold standard for the identification of this species. Due to the challenging identification of C. tuberculostearicum, we presume that this organism is often misidentified and its clinical relevance is underestimated. The antimicrobial susceptibility profile of C. tuberculostearicum presented here reveals that 14 (87.5%) of the 16 strains analyzed exhibited multidrug resistance.
- Published
- 2012
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41. Somatostatin promotes accumulation of phospholipids in regenerating liver tissue of rats.
- Author
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Milin C, Radosevic-Stasic B, Kirigin M, Hinic V, Rukavina D, Berggren PO, and Efendic S
- Subjects
- Animals, Cell Cycle drug effects, Hepatectomy, Liver growth & development, Liver metabolism, Liver Extracts metabolism, Male, Proteins metabolism, Rats, Rats, Inbred Strains, Liver drug effects, Liver Regeneration physiology, Phospholipids metabolism, Somatostatin pharmacology
- Abstract
Effects of somatostatin (SOM) on tissue contents of proteins, total lipids and phospholipids were investigated in regenerating and intact liver tissue of Y-59 rats. Whereas SOM inhibited protein accumulation in regenerating liver, the hormone evoked an increase in total lipids, and specially in phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine (PS) and phosphatidylinositol (PI). Since the same effects were not seen when intact liver was analyzed, it is assumed that SOM acts primarily on tissue stimulated to rapid growth. The increase of PS + PI fractions indicates a specific effect of SOM on the metabolism of phosphatidylinositides. Such an effect might result from the interference of the hormone with the action of growth factors that accelerate phosphatidylinositol breakdown.
- Published
- 1991
- Full Text
- View/download PDF
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