Search

Your search keyword '"Moussaoui, R. el"' showing total 16 results
Start Over Author "Moussaoui, R. el"
16 results on '"Moussaoui, R. el"'

4. Development and Validation of an Early Warning Model for Hospitalized COVID-19 Patients: A Multi-center Retrospective Cohort Study

Author

Smit, J. M., primary, Krijthe, J. H., additional, Tintu, A. N., additional, Endeman, H., additional, Ludikhuize, J., additional, Genderen, M. E. Van, additional, Hassan, S., additional, Moussaoui, R. El, additional, Westerweel, P. E., additional, Goekoop, R. J., additional, Waverijn, G., additional, Verheijen, T., additional, Hollander, J. G. Den, additional, De Boer, M.G.J., additional, Gommers, D. A.M.P.J., additional, Vlies, R. Van der, additional, Schellings, M., additional, Carels, R. A., additional, Nieuwkoop, C. Van, additional, Arbous, M. S., additional, Bommel, J. Van, additional, Knevel, R., additional, De Rijke, Y. B., additional, and Reinders, M. J.T., additional

Published
2022
Full Text
View/download PDF

5. Development and validation of an early warning model for hospitalized COVID-19 patients

Author

Smit, J.M., Krijthe, J.H., Tintu, A.N., Endeman, H., Ludikhuize, J., Genderen, M.E. van, Hassan, S., Moussaoui, R. el, Westerweel, P.E., Goekoop, R.J., Waverijn, G., Verheijen, T., Hollander, J.G. den, Boer, M.G.J. de, Gommers, D.A.M.P.J., Vlies, R. van der, Schellings, M., Carels, R.A., Nieuwkoop, C. van, Arbous, S.M., Bommel, J. van, Knevel, R., Rijke, Y.B. de, Reinders, M.J.T., Intensive Care, and Clinical Chemistry

Subjects
Artificial intelligence, Intensive care, Machine learning, COVID-19, Early warning score, Dynamic model updating, Critical Care and Intensive Care Medicine, Medical prediction model
Abstract

Background Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model specifically for COVID-19 patients. Methods We retrospectively collected electronic medical record data to extract predictors and used these to fit a random forest model. To simulate the situation in which the model would have been developed after the first and implemented during the second COVID-19 ‘wave’ in the Netherlands, we performed a temporal validation by splitting all included patients into groups admitted before and after August 1, 2020. Furthermore, we propose a method for dynamic model updating to retain model performance over time. We evaluated model discrimination and calibration, performed a decision curve analysis, and quantified the importance of predictors using SHapley Additive exPlanations values. Results We included 3514 COVID-19 patient admissions from six Dutch hospitals between February 2020 and May 2021, and included a total of 18 predictors for model fitting. The model showed a higher discriminative performance in terms of partial area under the receiver operating characteristic curve (0.82 [0.80–0.84]) compared to the National early warning score (0.72 [0.69–0.74]) and the Modified early warning score (0.67 [0.65–0.69]), a greater net benefit over a range of clinically relevant model thresholds, and relatively good calibration (intercept = 0.03 [− 0.09 to 0.14], slope = 0.79 [0.73–0.86]). Conclusions This study shows the potential benefit of moving from early warning models for the general inpatient population to models for specific patient groups. Further (independent) validation of the model is needed.

Published
2022

6. Gender differences in the use of cardiovascular interventions in HIV‐positive persons; the D:A:D Study

Author

Hatleberg, Camilla I., Ryom, Lene, El?Sadr, Wafaa, Mocroft, Amanda, Reiss, Peter, De Wit, Stephane, Dabis, Francois, Pradier, Christian, Monforte, Antonella D'Arminio, Kovari, Helen, Law, Matthew, Lundgren, Jens D., Sabin, Caroline A., Calvo, G, Bonnet, F, Kirk, O, Morfeldt, L, Weber, R, Lind?Thomsen, A, Brandt, R Salbøl, Hillebreght, M, Zaheri, S, Wit, Fwnm, Scherrer, A, Schöni?Affolter, F, Rickenbach, M, Tavelli, A, Fanti, I, Leleux, O, Mourali, J, Le Marec, F, Boerg, E, Thulin, E, Sundström, A, Bartsch, G, Thompsen, G, Necsoi, C, Delforge, M, Fontas, E, Caissotti, C, Mateu, S, Torres, F, Petoumenos, K, Blance, A, Huang, R, Puhr, R, Laut, K, Kristensen, D, Phillips, An, Kamara, Da, Smith, Cj, Brandt, Rs, Raben, D, Matthews, C, Bojesen, A, Grevsen, Al, Powderly, B, Shortman, N, Moecklinghoff, C, Reilly, G, Franquet, X, Smit, C, Ross, M, Fux, Ca, Morlat, P, Friis?Møller, N, Kowalska, J, Bohlius, J, Bower, M, Fätkenheuer, G, Grulich, A, Sjøl, A, Meidahl, P, Iversen, Js, Hillebregt, M, Prins, Jm, Kuijpers, Tw, Scherpbier, Hj, Meer, Jtm, Godfried, Mh, Poll, T, Nellen, Fjb, Geerlings, Se, Vugt, M, Pajkrt, D, Bos, Jc, Wiersinga, Wj, Valk, M, Goorhuis, A, Hovius, Jw, Eden, J, Henderiks, A, Hes, Amh, Mutschelknauss, M, Nobel, He, Pijnappel, Fjj, Jurriaans, S, Back, Nkt, Zaaijer, Hl, Berkhout, B, Cornelissen, Mte, Schinkel, Cj, Thomas, Xv, Ziekenhuis, A De Ruyter, Berge, M, Stegeman, A, Baas, S, De Looff, L Hage, Ziekenhuis, C, Pronk, Mjh, Ammerlaan, Hsm, Munnik, E, Tjhie, J, Wegdam, Mca, Deiman, B, Scharnhorst, V, Weijsenfeld, Am, Ende, Me, Gorp, Ecm, Schurink, Cam, Nouwen, Jl, Verbon, A, Rijnders, Bja, Bax, Hi, Feltz, M, Bassant, N, Beek, Jea, Vriesde, M, Zonneveld, Lm, Oude?Lubbers, A, Berg?Cameron, Hj, Bruinsma?Broekman, Fb, Groot, J, Man, M Zeeuw?De, Boucher, Cab, Koopmans, Mpg, Kampen, Jja, Pas, Sd, Driessen, Gja, Rossum, Amc, Knaap, Lc, Flevoziekenhuis, E, Branger, J, Rijkeboer?Mes, A, Schippers, Ef, Ijperen, Jm, Geilings, J, Hut, G, Franck, Pfh, Eeden, A, Brokking, W, Groot, M, Elsenburg, Ljm, Damen, M, Isala, Is, Groeneveld, Php, Bouwhuis, Jw, Berg, Jf, Hulzen, Agw, Bliek, Gl, Bor, Pcj, Bloembergen, P, Wolfhagen, Mjhm, Ruijs, Gjhm, Kroon, Fp, Boer, Mgj, Bauer, Mp, Jolink, H, Vollaard, Am, Dorama, W, Holten, N, Claas, Ecj, Wessels, E, Den Hollander, Jg, Pogany, K, Roukens, A, Kastelijns, M, Smit, Jv, Smit, E, Struik?Kalkman, D, Tearno, C, Bezemer, M, Niekerk, T, Pontesilli, O, Lowe, Sh, Lashof, Aml Oude, Posthouwer, D, Ackens, Rp, Schippers, J, Vergoossen, R, Weijenberg?Maes, B, Loo, Ihm, Havenith, Tra, Leyten, Ems, Gelinck, Lbs, Hartingsveld, A, Meerkerk, C, Wildenbeest, Gs, Mutsaers, Jaem, Jansen, Cl, Mulder, Jw, Vrouenraets, Sme, Lauw, Fn, Broekhuizen, Mc, Paap, H, Vlasblom, Dj, Smits, Phm, Weijer, S, Moussaoui, R El, Bosma, As, Vonderen, Mga, Houte, Dpf, Kampschreur, Lm, Dijkstra, K, Faber, S, Weel, J, Kootstra, Gj, Delsing, Ce, De Plas, M Burg?Van, Heins, H, Lucas, E, Kortmann, W, Twillert¤, G, Stuart, Jwt Cohen, Diederen, Bmw, Pronk, D, Truijen?Oud, Fa, Reijden, Wa, Jansen, R, Brinkman¤, K, Berk, Gel, Blok, Wl, Frissen, Phj, Lettinga, Kd, Schouten, Wem, Veenstra, J, Brouwer, Cj, Geerders, Gf, Hoeksema, K, Kleene, Mj, Meché, Ib, Spelbrink, M, Sulman, H, Toonen, Ajm, Wijnands, S, Kwa, D, Witte, E, Koopmans, Pp, Keuter, M, Ven, Ajam, Hofstede, Hjm, Dofferhoff, Asm, Crevel, R, Albers, M, Bosch, Mew, Grintjes?Huisman, Kjt, Zomer, Bj, Stelma, Ff, Rahamat?Langendoen, J, Burger, D, Richter, C, Gisolf, Eh, Hassing, Rj, Beest, G, Van Bentum, Phm, Langebeek, N, Tiemessen, R, Swanink, Cma, Lelyveld, Sfl, Soetekouw, R, Hulshoff, N, Prijt, Lmm, Swaluw, J, Bermon, N, Herpers, Bl, Veenendaal, D, Verhagen, Dwm, Wijk, M, Brouwer, Ae, Kuipers, M, Santegoets, Rmwj, Ven, B, Marcelis, Jh, Buiting, Agm, Kabel, Pj, Bierman, Wfw, Scholvinck, H, Wilting, Kr, Stienstra, Y, Meulen, Pa, Weerd, Da, Ludwig?Roukema, J, Niesters, Hgm, Riezebos?Brilman, A, Leer?Buter, Cc, Knoester, M, Hoepelman, Aim, Mudrikova, T, Ellerbroek, Pm, Oosterheert, Jj, Arends, Je, Barth, Re, Wassenberg, Mwm, Schadd, Em, Elst?Laurijssen, Dhm, Oers?Hazelzet, Eeb, Vervoort, S, Berkel, M, Schuurman, R, Verduyn?Lunel, F, Wensing, Amj, Peters, Ejg, Agtmael, Ma, Bomers, M, Vocht, J, Heitmuller, M, Laan, Lm, Pettersson, Am, Ang, Cw, Geelen, Spm, Wolfs, Tfw, Bont, Lj, Bezemer, Do, Sighem, Ai, Boender, Ts, Jong, A, Bergsma, D, Hoekstra, P, Lang, A, Grivell, S, Jansen, A, Rademaker, Mj, Raethke, M, Meijering, R, Schnörr, S, Groot, L, Akker, M, Bakker, Y, Claessen, E, Berkaoui, A El, Koops, J, Kruijne, E, Lodewijk, C, Munjishvili, L, Peeck, B, Ree, C, Regtop, R, Ruijs, Y, Rutkens, T, Sande, L, Schoorl, M, Timmerman, A, Tuijn, E, Veenenberg, L, Vliet, S, Wisse, A, Woudstra, T, Tuk, B, Dupon, M, Gaborieau, V, Lacoste, D, Malvy, D, Mercié, P, Neau, D, Pellegrin, Jl, Tchamgoué, S, Lazaro, E, Cazanave, C, Vandenhende, M, Vareil, Mo, Gérard, Y, Blanco, P, Bouchet, S, Breilh, D, Fleury, H, Pellegrin, I, Chêne, G, Thiébaut, R, Wittkop, L, Lawson?Ayayi, S, Gimbert, A, Desjardin, S, Lacaze?Buzy, L, Petrov?Sanchez, V, André, K, Bernard, N, Caubet, O, Caunegre, L, Chossat, I, Courtault, C, Dauchy, Fa, Dondia, D, Duffau, P, Dutronc, H, Farbos, S, Faure, I, Ferrand, H, Gerard, Y, Greib, C, Hessamfar, M, Imbert, Y, Lataste, P, Marie, J, Mechain, M, Monlun, E, Ochoa, A, Pistone, T, Raymond, I, Receveur, Mc, Rispal, P, Sorin, L, Valette, C, Vandenhende, Ma, Viallard, Jf, Wille, H, Wirth, G, Lafon, Me, Trimoulet, P, Bellecave, P, Tumiotto, C, Haramburu, F, Miremeont?Salamé, G, Blaizeau, Mj, Decoin, M, Hannapier, C, Pougetoux, E Lenaud Et A., Delveaux, S, D' Ivernois, C, Diarra, F, Uwamaliya?Nziyumvira, B, Palmer, G, Conte, V, Sapparrart, V, Moore, R, Edwards, S, Hoy, J, Watson, K, Roth, N, Lau, H, Bloch, M, Baker, D, Carr, A, Cooper, D, O'Sullivan, M, Nolan, D, Guelfi, G, Domingo, P, Sambeat, Ma, Gatell, J, Del Cacho, E, Cadafalch, J, Fuster, M, Codina, C, Sirera, G, Vaqué, A, Clumeck, N, Gennotte, Af, Gerard, M, Kabeya, K, Konopnicki, D, Libois, A, Martin, C, Payen, Mc, Semaille, P, Laethem, Y, Neaton, J, Krum, E, Thompson, G, Luskin?Hawk, R, Telzak, E, Abrams, Di, Cohn, D, Markowitz, N, Arduino, R, Mushatt, D, Friedland, G, Perez, G, Tedaldi, E, Fisher, E, Gordin, F, Crane, Lr, Sampson, J, Baxter, J, Gazzard, B, Horban, A, Karpov, I, Losso, M, Pedersen, C, Ristola, M, Phillips, A, Rockstroh, J, Peters, L, Fischer, Ah, Laut, K Grønborg, Larsen, Jf, Podlekareva, D, Cozzi?Lepri, A, Shepherd, L, Schultze, A, Amele, S, Kundro, M, Schmied, B, Vassilenko, A, Mitsura, Vm, Paduto, D, Florence, E, Vandekerckhove, L, Hadziosmanovic, V, Begovac, J, Machala, L, Jilich, D, Kronborg, G, Benfield, T, Gerstoft, J, Katzenstein, T, Møller, Nf, Ostergaard, L, Wiese, L, Nielsen, Ln, Zilmer, K, Aho, I, Viard, J?P, Girard, P?M, Duvivier, C, Degen, O, Stellbrink, Hj, Stefan, C, Bogner, J, Chkhartishvili, N, Gargalianos, P, Szlávik, J, Gottfredsson, M, Mulcahy, F, Yust, I, Turner, D, Burke, M, Shahar, E, Hassoun, G, Elinav, H, Haouzi, M, Elbirt, D, Sthoeger, Zm, Esposito, R, Mazeu, I, Mussini, C, Mazzotta, F, Gabbuti, A, Vullo, V, Lichtner, M, Zaccarelli, M, Antinori, A, Acinapura, R, Plazzi, M, Lazzarin, A, Castagna, A, Gianotti, N, Galli, M, Ridolfo, A, Rozentale, B, Uzdaviniene, V, Staub, T, Ormaasen, V, Maeland, A, Bruun, J, Knysz, B, Gasiorowski, J, Inglot, M, Bakowska, E, Flisiak, R, Grzeszczuk, A, Parczewski, M, Maciejewska, K, Aksak?Was, B, Beniowski, M, Mularska, E, Smiatacz, T, Gensing, M, Jablonowska, E, Malolepsza, E, Wojcik, K, Mozer?Lisewska, I, Caldeira, L, Radoi, R, Panteleev, A, Yakovlev, A, Trofimora, T, Khromova, I, Kuzovatova, E, Borodulina, E, Vdoushkina, E, Jevtovic, D, Tomazic, J, Gatell, Jm, Miró, Jm, Moreno, S, Rodriguez, Jm, Clotet, B, Jou, A, Paredes, R, Tural, C, Puig, J, Bravo, I, Gutierrez, M, Mateo, G, Laporte, Jm, Falconer, K, Thalme, A, Sonnerborg, A, Blaxhult, A, Flamholc, L, Cavassini, M, Calmy, A, Furrer, H, Schmid, P, Kuznetsova, A, Kyselyova, G, Sluzhynska, M, Johnson, Am, Simons, E, Johnson, Ma, Orkin, C, Weber, J, Scullard, G, Clarke, A, Leen, C, Thulin, G, Åkerlund, B, Koppel, K, Karlsson, A, Håkangård, C, Castelli, F, Cauda, R, Di Perri, G, Iardino, R, Ippolito, G, Marchetti, Gc, Perno, Cf, Schloesser, F, Viale, P, Ceccherini?Silberstein, F, Girardi, E, Lo Caputo, S, Puoti, M, Andreoni, M, Ammassari, A, Balotta, C, Bandera, A, Bonfanti, P, Bonora, S, Borderi, M, Calcagno, A, Calza, L, Capobianchi, Mr, Cingolani, A, Cinque, P, De Luca, A, Di Biagio, A, Gori, A, Guaraldi, G, Lapadula, G, Madeddu, G, Maggiolo, F, Marchetti, G, Marcotullio, S, Monno, L, Nozza, S, Roldan, E Quiros, Rossotti, R, Rusconi, S, Santoro, Mm, Saracino, A, Galli, L, Lorenzini, P, Rodano, A, Shanyinde, M, Carletti, F, Carrara, S, Di Caro, A, Graziano, S, Petrone, F, Prota, G, Quartu, S, Truffa, S, Giacometti, A, Costantini, A, Barocci, V, Angarano, G, Santoro, C, Suardi, C, Donati, V, Verucchi, G, Minardi, C, Quirino, T, Abeli, C, Manconi, Pe, Piano, P, Cacopardo, B, Celesia, B, Vecchiet, J, Falasca, K, Pan, A, Lorenzotti, S, Sighinolfi, L, Segala, D, Vichi, F, Cassola, G, Viscoli, C, Alessandrini, A, Bobbio, N, Mazzarello, G, Mastroianni, C, Belvisi, V, Caramma, I, Chiodera, A, Milini, P, Rizzardini, G, Moioli, Mc, Piolini, R, Ridolfo, Al, Salpietro, S, Tincati, C, Puzzolante, C, Abrescia, N, Chirianni, A, Borgia, G, Orlando, R, Bonadies, G, Di Martino, F, Gentile, I, Maddaloni, L, Cattelan, Am, Marinello, S, Cascio, A, Colomba, C, Baldelli, F, Schiaroli, E, Parruti, G, Sozio, F, Magnani, G, Ursitti, Ma, Cristaudo, A, Baldin, G, Capozzi, M, Cicalini, S, Sulekova, L Fontanelli, Iaiani, G, Latini, A, Mastrorosa, I, Plazzi, Mm, Savinelli, S, Vergori, A, Cecchetto, M, Viviani, F, Bagella, P, Rossetti, B, Franco, A, Del Vecchio, R Fontana, Francisci, D, Di Giuli, C, Caramello, P, Orofino, Gc, Sciandra, M, Bassetti, M, Londero, A, Pellizzer, G, Manfrin, V, Starnini, G, Ialungo, A, Dollet, K, Dellamonica, P, Bernard, E, Courjon, J, Cua, E, De Salvador?Guillouet, F, Durant, J, Etienne, C, Ferrando, S, Mondain?Miton, V, Naqvi, A, Perbost, I, Pillet, S, Prouvost?Keller, B, Pugliese, P, Rio, V, Risso, K, Roger, Pm, Aubert, V, Battegay, M, Bernasconi, E, Böni, J, Braun, Dl, Bucher, Hc, Ciuffi, A, Dollenmaier, G, Egger, M, Elzi, L, Fehr, J, Fellay, J, Günthard, Hf, Haerry, D, Hasse, B, Hirsch, Hh, Hoffmann, M, Hösli, I, Kahlert, C, Kaiser, L, Keiser, O, Klimkait, T, Kouyos, Rd, Ledergerber, B, Martinetti, G, De Tejada, B Martinez, Marzolini, C, Metzner, Kj, Müller, N, Nicca, D, Pantaleo, G, Paioni, P, Rauch, A, Rudin, C, Scherrer, Au, Speck, R, Stöckle, M, Tarr, P, Trkola, A, Vernazza, P, Wandeler, G, and Yerly, S

Subjects
Medical care -- Utilization, Cardiovascular system -- Surgery, Sex factors in disease -- Analysis, HIV patients -- Statistics -- Care and treatment -- Demographic aspects, Health
Abstract

: Introduction: There is paucity of data related to potential gender differences in the use of interventions to prevent and treat cardiovascular disease (CVD) among HIV‐positive individuals. We investigated whether such differences exist in the observational D:A:D cohort study. Methods: Participants were followed from study enrolment until the earliest of death, six months after last visit or February 1, 2015. Initiation of CVD interventions [lipid‐lowering drugs (LLDs), angiotensin‐converting enzyme inhibitors (ACEIs), anti‐hypertensives, invasive cardiovascular procedures (ICPs) were investigated and Poisson regression models calculated whether rates were lower among women than men, adjusting for potential confounders. Results: Women (n = 12,955) were generally at lower CVD risk than men (n = 36,094). Overall, initiation rates of CVD interventions were lower in women than men; LLDs: incidence rate 1.28 [1.21, 1.35] vs. 2.40 [2.34, 2.46]; ACEIs: 0.88 [0.82, 0.93] vs. 1.43 [1.39, 1.48]; anti‐hypertensives: 1.40 [1.33, 1.47] vs. 1.72 [1.68, 1.77] and ICPs: 0.08 [0.06, 0.10] vs. 0.30 [0.28, 0.32], and this was also true for most CVD interventions when exclusively considering periods of follow‐up for which individuals were at high CVD risk. In fully adjusted models, women were less likely to receive CVD interventions than men (LLDs: relative rate 0.83 [0.78, 0.88]; ACEIs: 0.93 [0.86, 1.01]; ICPs: 0.54 [0.43, 0.68]), except for the receipt of anti‐hypertensives (1.17 [1.10, 1.25]). Conclusion: The use of most CVD interventions was lower among women than men. Interventions are needed to ensure that all HIV‐positive persons, particularly women, are appropriately monitored for CVD and, if required, receive appropriate CVD interventions., Introduction HIV‐positive individuals are known to be at increased risk of cardiovascular disease (CVD) compared to the general population, partly due to an increased prevalence of some CVD risk factors, [...]

Published
2018
Full Text
View/download PDF

7. Early hydroxychloroquine but not chloroquine use reduces ICU admission in COVID-19 patients

Author

Lammers, A.J., Brohet, R.M., Theunissen, R.E.P., Koster, C., Rood, R. van 't, Verhagen, D.W., Brinkman, K., Hassing, R.J., Dofferhoff, A.S., Moussaoui, R. El, Hermanides, G., Ellerbroek, J., Bokhizzou, N., Visser, H., Berge, M. ten, Bax, H., Postma, D.F., Groeneveld, P.H., Lammers, A.J., Brohet, R.M., Theunissen, R.E.P., Koster, C., Rood, R. van 't, Verhagen, D.W., Brinkman, K., Hassing, R.J., Dofferhoff, A.S., Moussaoui, R. El, Hermanides, G., Ellerbroek, J., Bokhizzou, N., Visser, H., Berge, M. ten, Bax, H., Postma, D.F., and Groeneveld, P.H.

Abstract

Contains fulltext : 229589.pdf (publisher's version ) (Open Access), BACKGROUND: The global push for the use of hydroxychloroquine (HCQ) and chloroquine (CQ) against COVID-19 has resulted in an ongoing discussion about the effectivity and toxicity of these drugs. Recent studies report no effect of (H)CQ on 28-day mortality. We investigated the effect of HCQ and CQ in hospitalized patients on the non-ICU COVID-ward. METHODS: A nationwide, observational cohort study was performed in The Netherlands. Hospitals were given the opportunity to decide independently on the use of three different COVID-19 treatment strategies: HCQ, CQ, or no treatment. We compared the outcomes between these groups. The primary outcomes were 1) death on the COVID-19 ward, and 2) transfer to the intensive care unit (ICU). RESULTS: The analysis included 1064 patients from 14 hospitals: 566 patients received treatment with either HCQ (n = 189) or CQ (n = 377), and 498 patients received no treatment. In a multivariate propensity-matched weighted competing regression analysis, there was no significant effect of (H)CQ on mortality on the COVID ward. However, HCQ was associated with a significantly decreased risk of transfer to the ICU (hazard ratio (HR) = 0.47, 95% CI = 0.27-0.82, p = 0.008) when compared with controls. This effect was not found in the CQ group (HR = 0.80, 95% CI = 0.55-1.15, p = 0.207), and remained significant after competing risk analysis. CONCLUSION: The results of this observational study demonstrate a lack of effect of (H)CQ on non-ICU mortality. However, we show that the use of HCQ - but not CQ - is associated with a 53% reduction in risk of transfer of COVID-19 patients from the regular ward to the ICU. Recent prospective studies have reported on 28-day, all-cause mortality only; therefore, additional prospective data on the early effects of HCQ in preventing transfer to the ICU are still needed.

Published
2020

8. Progression of liver fibrosis following acute hepatitis C virus infection in HIV-positive MSM

Author

Newsum, A.M., Kooij, K.W., Boyd, A., Smit, C., Wit, F.W.N.M., Meer, J.T.M. van der, Prins, M., Reiss, P., Valk, M. van der, Eden, H. van, Molenkamp, R., Pijnappel, F., Reesink, H.W., Schinkel, J., Steba, G.S., Berk, G.E.L. van den, Brinkman, K., Hooijenga, I., Kwa, D., Meche, N. van der, Toonen, A., Vos, D., Broekhuizen, M. van, Lauw, E.N., Mulder, J.W., Arend, J.E., Kessel, A. van, Silvius, B., Versloot, M., Boonstra, A., Rijnders, B.J.A., Brokking, W., Eeden, A. van, Elsenburg, L., Nobel, H.E., Laar, T.J.W. van de, Veldt, W. van der, Geerlings, S.E., Goorhuis, A., Hovius, J.W., Lempkes, B., Nellen, F.J.B., Poll, T. van der, Prins, J.M., Vugt, M. van, Wiersinga, W.J., Duinen, M. van, Eden, J. van, Hazenberg, A., Hes, A.M.H. van, Pijnappel, F.J.J., Smalhout, S.Y., Weijsenfeld, A.M., Jurriaans, S., Back, N.K.T., Zaaijer, H.L., Berkhout, B., Cornelissen, M.T.E., Schinkel, C.J., Wolthers, K.C., Peters, E.J.G., Agtmael, M.A. van, Bomers, M., Sigaloff, K.C.E., Heitmuller, M., Laan, L.M., Ang, C.W., Houdt, R. van, Jonges, M., Pettersson, A.M., Prehn, J. van, Berge, M. van den, Stegeman, A., Baas, S., Looff, L.H. de, Wintermans, B., Veenemans, J., Pronk, M.J.H., Ammerloan, H.S.M., Munnik, E.S. de, Jansz, A.R., Tjhie, J., Wegdam, M.C.A., Deiman, B., Scharnhorst, V., Elsenburg, L.J.M., Nobel, H., Damen, M., Kasteren, M.E.E. van, Berrevoets, M.A.H., Brouwer, A.E., Adams, A., Kruijf-van de Wiel, B.A.E. de, Keelan-Pfaf, S., Ven, B. van de, Ven, B. van der, Buiting, A.G.M., Murck, J.L., Versteeg, D., Ende, M.E. van der, Box, H.I., Gorp, E.C.M. van, Nouwen, J.L., Schurink, C.A.M., Verbon, A., Vries-Sluijs, T.E.M.S. de, Jong-Peltenburg, N.C. de, Bassant, N., Beek, J.E.A. van, Vriesde, M., Zonneveld, L.M. van, Berg-Cameron, H.J. van den, Groot, J. de, Boucher, C.A.B., Koopmans, M.P.G., Kampen, J.J.A. van, Branger, J., Douma, R.A., Duijf-van de Ven, C.J.H.M., Schippers, E.F., Nieuwkoop, C. van, IJperen, J.M. van, Geilings, J., Hut, G. van der, Burgel, N.D. van, Leyten, E.M.S., Gelinck, L.B.S., Mollema, F., Davids-Veldhuis, S., Hartingsveld, A.Y. van, Wildenbeest, G.S., Heikens, E., Groeneveld, P.H.P., Bouwhuis, J.W., Lammers, A.J.J., Kraan, S., Hulzen, A.G.W. van, Kruiper, M.S.M., Bliek, G.L. van der, Bor, P.C.J., Bloembergen, P., Wolthagen, M.H.M., Ruijs, G.J.H.M., Kroon, E., Boer, M.G.J. de, Scheper, H., Jolink, H., Dorama, W., Holten, N. van, Claas, E.C.J., Wessels, E., Hollander, J.G. den, Pogany, K., Roukens, A., Douma, R., Kastelijns, M., Smit, J.V., Smit, E., Struik-Kalkman, D., Tearno, C., Niekerk, T. van, Pontesilli, O., Lowe, S.H., Lashof, A.M.L.O., Posthouwer, D., Ackens, R.P., Burgers, K., Schippers, J., Enberg-Maes, B.W., Loo, I.H.M. van, Havenith, T.R.A., Vrouenraets, S.M.E., Broekhuizen, M.C. van, Vlasblom, D.J., Kroeze, M., Smits, P.H.M., Weijer, S., Moussaoui, R. el, Bosma, A.S., Vonderen, M.G.A. van, Kampschreur, L.M., Faber, S., Steeman-Bouma, R., Wed, J., Kootstra, G.J., Delsing, C.E., Burg-van de Plas, M. van der, Heins, H., Kortmann, W., Twillert, G. van, Renckens, R., Ruiter-Pronk, D., Truijen-Oud, E.A. van, Stuart, J.W.T.C., Jansen, E.R., Hoogewerf, M., Rozemeijer, W., Reijden, W.A. van der, Sinnige, J.C., Blok, W.L., Frissen, P.H.J., Lettinga, K.D., Schouten, W.E.M., Veenstra, J., Brouwer, C.J., Geerders, G.E., Hoeksema, K., Kleene, M.J., Knapen, M., Meche, I.B. van der, Mulder-Seeleman, E., Toonen, A.J.M., Wijnands, S., Crevel, R. van, Dofferhoff, A.S.M., Hofstede, H.J.M. ter, Hoogerwerf, J., Keuter, M., Richel, O., Albers, M., Grintjes-Huisman, K.J.T., Haan, M. de, Marneef, M., Strik-Albers, R., Rahamat-Langendoen, J., Stelma, E.E., Burger, D., Gisolf, E.H., Hassing, R.J., Claassen, M., Beest, G. ter, Bentum, P.H.M. van, Langebeek, N., Tiemessen, R., Swanink, C.M.A., Lelyveld, S.F.L. van, Soetekouw, R., Prijt, L.M.M. van der, Swaluw, J. van der, Bermon, N., Jansen, R., Herpers, B.L., Veenendaal, D., Verhagen, D.W.M., Wijk, M. van, Bierman, W.F.W., Bakker, M., Kleinnij, APH - Global Health, AII - Infectious diseases, Graduate School, Infectious diseases, APH - Aging & Later Life, Global Health, APH - Methodology, APH - Digital Health, APH - Personalized Medicine, Gastroenterology & Hepatology, Internal Medicine, Virology, Medical Microbiology & Infectious Diseases, Med Microbiol, Infect Dis & Infect Prev, MUMC+: DA MMI Staf (9), RS: CAPHRI - R4 - Health Inequities and Societal Participation, MUMC+: TPZ Verpleegkundig Team Infectieziekten (9), MUMC+: DA MMI Infectieserologie (9), MUMC+: DA MMI AIOS (9), MUMC+: DA KFT Medische Staf (9), Anatomy and neurosciences, Amsterdam Movement Sciences - Rehabilitation & Development, Internal medicine, and Microbes in Health and Disease (MHD)

Subjects
Liver Cirrhosis, Male, 0301 basic medicine, HIV Infections, Disease, DISEASE, 0302 clinical medicine, ANTIRETROVIRAL THERAPY, STAGE, Interquartile range, HEPATOCELLULAR-CARCINOMA, Immunology and Allergy, 030212 general & internal medicine, Immunodeficiency, Netherlands, liver fibrosis, RISK, education.field_of_study, IMMUNODEFICIENCY, Coinfection, HIV/hepatitis C virus coinfection, MEN, Hepatitis C, Markov Chains, Infectious Diseases, Hepatocellular carcinoma, Disease Progression, SEX, Adult, medicine.medical_specialty, Population, Immunology, acute hepatitis C virus infection, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, MSM, Homosexuality, Male, education, Retrospective Studies, Hepatitis, business.industry, fibrosis-4, Retrospective cohort study, NONINVASIVE INDEX, medicine.disease, Confidence interval, INDIVIDUALS, 030104 developmental biology, business
Abstract

Background: Whether continued, accelerated liver fibrosis progression occurs following acute hepatitis C virus infection (AHCVI) in HIV-positive MSM is unknown.Design and methods: HIV-positive MSM from the AIDS Therapy Evaluation in the Netherlands and MSM Observational Study for Acute Infection with Hepatitis C-cohorts with primary AHCVI and at least one fibrosis-4 (FIB-4) measurement less than 2 years before and 1 year after estimated AHCVI were included. Mixed-effect linear models were used to evaluate (time-updated) determinants of FIB-4 levels over time. Determinants of transitioning to and from FIB-4 1.45 were examined using multistate Markov models.Results: Of 313 MSM, median FIB-4 measurements per individual was 12 (interquartile range = 8-18) and median follow-up following AHCVI was 3.5 years (interquartile range = 1.9-5.6). FIB-4 measurements averaged at 1.00 [95% confidence interval (CI) = 0.95-1.05] before AHCVI, 1.31 (95% CI = 1.25-1.38) during the first year of AHCVI and 1.10 (95% CI = 1.05-1.15) more than 1 year after AHCVI. Mean FIB-4 more than 1 year after AHCVI was higher for chronically infected patients compared with those successfully treated (P = 0.007). Overall FIB-4 scores were significantly higher with older age, lower CD4(+) cell count, longer duration from HIV-diagnosis or AHCVI, and nonresponse to HCV-treatment. At the end of follow-up, 60 (19.2%) and eight MSM (2.6%) had FIB-4 between 1.45-3.25 and >= 3.25, respectively. Older age, lower CD4(+) cell count and detectable HIV-RNA were significantly associated with higher rates of progression to FIB-4 > 1.45, whereas older age, longer duration from HIV-diagnosis and nonresponse to HCV-treatment were significantly associated with lower rates of regression to FIB-4Conclusion: In this population of HIV-positive MSM, FIB-4 scores were higher during the first year of AHCVI, but FIB-4 >= 3.25 was uncommon by the end of follow-up. Well controlled HIV-infection appears to attenuate FIB-4 progression. Copyright (C) 2019 Wolters Kluwer Health, Inc. All rights reserved.

Published
2019

9. Predictive Performance of Cardiovascular Disease Risk Prediction Algorithms in People Living With HIV

Author

Zoest, R.A. van, Law, M., Sabin, C.A., Vaartjes, I., Valk, M. van der, Arends, J.E., Reiss, P., Wit, F.W., Geerlings, S.E., Godfried, M.H., Goorhuis, A., Hovius, J.W., Kuijpers, T.W., Nellen, F.J.B., Poll, D.T. van der, Prins, J.M., Vugt, H.J.M. van, Wiersinga, W.J., Wit, F.W.M.N., Duinen, M. van, Eden, J. van, Hes, A.M.H. van, Pijnappel, F.J.J., Weijsenfeld, A.M., Jurriaans, S., Back, N.K.T., Zaaijer, H.L., Berkhout, B., Cornelissen, M.T.E., Schinkel, C.J., Wolthers, K.C., Peters, E.J.G., Agtmael, M.A. van, Bomers, M., Heitmuller, M., Laan, L.M., Ang, C.W., Houdt, R. van, Pettersson, A.M., Vandenbroucke-Grauls, C.M.J.E., Berge, M. van den, Stegeman, A., Baas, S., Looff, L.H. de, Wintermans, B., Veenemans, J., Pronk, M.J.H., Ammerlaan, H.S.M., Munnik, E.S. de, Jansz, A.R., Tjhie, J., Wegdam, M.C.A., Deiman, B., Scharnhorst, V., Eeden, A. van, Brokking, W., Groot, M., Elsenburg, L.J.M., Damen, M., Kwa, I.S., Kasteren, M.E.E. van, Brouwer, A.E., Erve, R. van, Kruijf-van de Wiel, B.A.F.M. de, Ven, B. van de, Buiting, A.G.M., Kabel, P.J., Versteeg, D., Ende, M.E. van der, Bax, H.I., Gorp, E.C.M. van, Nouwen, J.L., Rijnders, B.J.A., Schurink, C.A.M., Verbon, A., Vries-Sluijs, T.E.M.S. de, Jong-Peltenburg, N.C. de, Bassant, N., Beek, J.E.A. van, Vriesde, M., Zonneveld, L.M. van, Berg-Cameron, H.J. van den, Groot, J. de, Zeeuw-de Man, M. de, Boucher, C.A.B., Koopmans, M.P.G., Kampen, J.J.A. van, Pas, S.D., Branger, J., Douma, R.A., Duijf-van de Ven, C.J.H.M., Schippers, E.F., Nieuwkoop, C. van, IJperen, J.M. van, Geilings, J., Hut, G. van der, Burgel, N.D. van, Leyten, E.M.S., Gelinck, L.B.S., Davids-Veldhuis, S., Hartingsveld, A.Y. van, Meerkerk, C., Wildenbeest, G.S., Heikens, E., Groeneveld, P.H.P., Bouwhuis, J.W., Lammers, A.J.J., Kraan, S., Hulzen, A.G.W. van, Kruiper, M.S.M., Bliek, G.L. van der, Bor, P.C.J., Bloembergen, P., Wolfhagen, M.J.H.M., Ruijs, G.J.H.M., Kroon, F.P., Boer, M.G.J. de, Scheper, H., Jolink, H., Dorama, W., Holten, N. van, Claas, E.C.J., Wessels, E., Hollander, J.G. den, Pogany, K., Roukens, A., Kastelijns, M., Smit, J.V., Smit, E., Struik-Kalkman, D., Tearno, C., Niekerk, T. van, Pontesilli, O., Lowe, S.H., Lashof, A.M.L.O., Posthouwer, D., Ackens, R.P., Burgers, K., Schippers, J., Weijenberg-Maes, B., Loo, I.H.M. van, Havenith, T.R.A., Mulder, J.W., Vrouenraets, S.M.E., Lauw, F.N., Broekhuizen, M.C. van, Vlasblom, D.J., Smits, P.H.M., Weijer, S., Moussaoui, R. el, Bosma, A.S., Vonderen, M.G.A. van, Kampschreur, L.M., Dijkstra, K., Faber, S., Weel, J., Kootstra, G.J., Delsing, C.E., Burg-van de Plas, M. van der, Heins, H., Kortmann, W., Twillert, G. van, Renckens, R., Ruiter-Pronk, D., Truijen-Oud, F.A. van, Stuart, J.W.T.C., IJzerman, E.P., Jansen, R., Reijden, W.A. van der, Brinkman, K., Berk, G.E.L. van den, Blok, W.L., Frissen, P.H.J., Lettinga, K.D., Schouten, W.E.M., Veenstra, J., Brouwer, C.J., Geerders, G.F., Hoeksema, K., Kleene, M.J., Meche, I.B. van der, Spelbrink, M., Toonen, A.J.M., Wijnands, S., Kwa, D., Regez, R., Crevel, R. van, Keuter, M., Ven, A.J.A.M. van der, Hofstede, H.J.M. ter, Dofferhoff, A.S.M., Hoogerwerf, J., Grintjes-Huisman, K.J.T., Haan, M. de, Marneef, M., Rahamat-Langendoen, J., Stelma, F.F., Burger, D., Gisolf, E.H., Hassing, R.J., Claassen, M., Beest, G. ter, Bentum, P.H.M. van, Langebeek, N., Tiemessen, R., Swanink, C.M.A., Lelyveld, S.F.L. van, Soetekouw, R., Prijt, L.M.M. van der, Swaluw, J. van der, Bermon, N., Herpers, B.L., Veenendaal, D., Verhagen, D.W.M., Wijk, M. van, Bierman, W.F.W., Bakker, M., Kleinnijenhuis, J., Kloeze, E., Stienstra, Y., Wilting, K.R., Wouthuyzen-Bakker, M., Boonstra, A., Meulen, P.A. van der, Weerd, D.A. de, Niesters, H.G.M., Leer-Buter, C.C. van, Knoester, M., Hoepelman, A.I.M., Barth, R.E., Bruns, A.H.W., Ellerbroek, P.M., Mudrikova, T., Oosterheert, J.J., Schadd, E.M., Wassenberg, M.W.M., Zoelen, M.A.D. van, Aarsman, K., Elst-Laurijssen, D.H., Rozemeijer, Graduate School, AII - Infectious diseases, APH - Aging & Later Life, Infectious diseases, Global Health, APH - Digital Health, APH - Personalized Medicine, APH - Global Health, Microbes in Health and Disease (MHD), Neurochirurgie, RS: MHeNs - R3 - Neuroscience, Med Microbiol, Infect Dis & Infect Prev, MUMC+: DA MMI Staf (9), RS: CAPHRI - R4 - Health Inequities and Societal Participation, Internal medicine, Pediatric surgery, Amsterdam Movement Sciences - Rehabilitation & Development, ACS - Diabetes & metabolism, AGEM - Digestive immunity, Medical Microbiology and Infection Prevention, Amsterdam Reproduction & Development (AR&D), Internal Medicine, Virology, and Medical Microbiology & Infectious Diseases

Subjects
Male, Heart disease, Human immunodeficiency virus (HIV), risk prediction algorithms, Blood Pressure, HIV Infections, Disease, 030312 virology, medicine.disease_cause, SUBCLINICAL ATHEROSCLEROSIS, Risk Factors, cardiovascular disease, FRAMINGHAM, Pharmacology (medical), Netherlands, 0303 health sciences, INFECTED PATIENTS, Framingham Risk Score, Middle Aged, Prediction algorithms, Cholesterol, Infectious Diseases, Anti-Retroviral Agents, Cardiovascular Diseases, HUMAN-IMMUNODEFICIENCY-VIRUS, Female, Risk assessment, Algorithms, Adult, Anti-HIV Agents, CARDIOLOGY/AMERICAN HEART ASSOCIATION, HEART-DISEASE, AMERICAN-COLLEGE, DATA-COLLECTION, Risk Assessment, EVENTS, 03 medical and health sciences, SDG 3 - Good Health and Well-being, INFLAMMATION, Environmental health, SCORE, medicine, Humans, Propensity Score, business.industry, HIV, medicine.disease, CD4 Lymphocyte Count, MYOCARDIAL-INFARCTION, Propensity score matching, Disease risk, business
Abstract

Background: People living with HIV (PLWH) experience a higher cardiovascular disease (CVD) risk. Yet, traditional algorithms are often used to estimate CVD risk. We evaluated the performance of 4 commonly used algorithms.Setting: The Netherlands.Methods: We used data from 16,070 PLWH aged > 18 years, who were in care between 2000 and 2016, had no pre-existing CVD, had initiated first combination antiretroviral therapy >1 year ago, and had available data on CD4 count, smoking status, cholesterol, and blood pressure. Predictive performance of 4 algorithms [Data Collection on Adverse Effects of Anti-HIV Drugs Study (D: A: D); Systematic COronary Risk Evaluation adjusted for national data (SCORE-NL); Framingham CVD Risk Score (FRS); and American College of Cardiology and American Heart Association Pooled Cohort Equations (PCE)] was evaluated using a Kaplan-Meier approach. Model discrimination was assessed using Harrell's C-statistic. Calibration was assessed using observed-versusexpected ratios, calibration plots, and Greenwood-Nam-D'Agostino goodness-of-fit tests.Results: All algorithms showed acceptable discrimination (Harrell's C-statistic 0.73-0.79). On a population level, D: A: D, SCORE-NL, and PCE slightly underestimated, whereas FRS slightly overestimated CVD risk (observed-versus-expected ratios 1.35, 1.38, 1.14, and 0.92, respectively). D: A: D, FRS, and PCE best fitted our data but still yielded a statistically significant lack of fit (Greenwood-Nam-D'Agostino chi(2) ranged from 24.57 to 34.22, P Conclusions: All algorithms perform reasonably well in PLWH, with SCORE-NL performing poorest. Prediction algorithms are useful for clinical practice, but clinicians should be aware of their limitations (ie, lack of fit and slight underestimation of CVD risk in low-risk groups).

Published
2019

16. [Severe hyponatraemia secondary to cure of cyclophosphamide (about three cases)].

Author

Alilou M, Awab A, Zarouf M, Moussaoui RE, Hijri AE, Azzouzi A, and Slaoui A

Subjects
Adult, Antineoplastic Agents, Alkylating therapeutic use, Behcet Syndrome complications, Cyclophosphamide therapeutic use, Diuretics therapeutic use, Female, Furosemide therapeutic use, Humans, Hyponatremia drug therapy, Immunosuppressive Agents therapeutic use, Inappropriate ADH Syndrome chemically induced, Lupus Erythematosus, Systemic complications, Lupus Erythematosus, Systemic drug therapy, Male, Middle Aged, Antineoplastic Agents, Alkylating adverse effects, Cyclophosphamide adverse effects, Hyponatremia chemically induced, Immunosuppressive Agents adverse effects
Published
2009
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results