| Literature DB >> 30289806 |
Georgia Vourli1, Anastasia Pharris2, Francoise Cazein3, Dominique Costagliola4, Francois Dabis5, Julia Del Amo6, Valerie Delpech7, Asuncion Díaz6, Enrico Girardi8, Annabelle Gourlay9,10, Barbara Gunsenheimer-Bartmeyer11, Victoria Hernando6, Georgios Nikolopoulos12, Kholoud Porter9, Magdalena Rosińska13, Caroline Sabin9, Barbara Suligoi14, Virginie Supervie4, Ferdinand Wit15, Giota Touloumi1.
Abstract
OBJECTIVE: HIV cohorts are an important source of clinical data for informing public health policies and programmes. However, the generalizability of cohort findings to the wider population of people diagnosed with HIV in each country remains unclear. In this work, we assessed the representativeness of six large national HIV cohorts within Europe. DESIGN AND METHODS: Individual-level cohort data were provided from national cohorts in France, Germany, Greece, Italy, Spain and the United Kingdom. Analysis focused on new HIV diagnoses reported to The European Surveillance System (TESSy) during three time periods (2000-2004, 2005-2009 and 2010-2013), to allow for temporal changes. Cohort and TESSy records were matched and compared by age, sex, transmission mode, region of origin and CD4+ cell count at diagnosis. The probability of being included in each cohort given demographic characteristics was estimated and used to generate weights inversely proportional to the probability of being included.Entities:
Mesh:
Year: 2019 PMID: 30289806 PMCID: PMC6415981 DOI: 10.1097/QAD.0000000000002034
Source DB: PubMed Journal: AIDS ISSN: 0269-9370 Impact factor: 4.177
Demographic characteristics in cohort and The European Surveillance System data for individuals diagnosed between 2000 and 2013, Germany, Greece and the United Kingdom; for France, only individuals diagnosed between 2003 and 2013 were included and for Italy only data for 2010–2013, whereas in Spain only individuals diagnosed between 2005 and 2013 are included.
| France | Germany | Greece | Italy | Spain | United Kingdom | |||||||
| Cohort, | Surveillance, | Cohort, | Surveillance, | Cohort, | Surveillance, | Cohort, | Surveillance, | Cohort, | Surveillance, | Cohort, | Surveillance, | |
| Transmission mode | ||||||||||||
| 11 067 (38.5) | 20 238 (34.0) | 8206 (58.0) | 21 730 (64.2) | 3776 (60.7) | 4535 (53.5) | 1637 (49.6) | 6252 (40.5) | 5239 (62.6) | 14 980 (53.3) | 17 560 (48.8) | 36 019 (40.0) | |
| 577 (2.0) | 2305 (3.9) | 948 (6.7) | 2019 (6.0) | 759 (12.2) | 1482 (17.5) | 201 (6.1) | 947 (6.1) | 497 (5.9) | 2521 (9.0) | 724 (2.0) | 2168 (2.4) | |
| 17 114 (59.5) | 36 937 (62.1) | 4992 (35.3) | 10 096 (29.8) | 1682 (27.1) | 2458 (29.0) | 1465 (44.4) | 8250 (53.4) | 2638 (31.5) | 10 612 (37.7) | 17 686 (49.2) | 51 888 (57.6) | |
| Sex | ||||||||||||
| 19 091 (66.4) | 38 144 (64.1) | 11 191 (79.1) | 27 691 (81.8) | 5287 (85.0) | 6988 (82.5) | 2658 (80.5) | 11 898 (77.0) | 7054 (84.2) | 22 904 (81.5) | 24 761 (68.8) | 57 562 (63.9) | |
| 9667 (33.6) | 21 336 (35.9) | 2955 (20.9) | 6154 (18.2) | 930 (15.0) | 1487 (17.5) | 645 (19.5) | 3551 (23.0) | 1320 (15.8) | 5209 (18.5) | 11 209 (31.2) | 32 513 (36.1) | |
| Age group | ||||||||||||
| 15–24.9 | 3316 (11.5) | 5543 (9.3) | 1671 (11.8) | 3953 (11.7) | 731 (11.8) | 788 (9.3) | 367 (11.1) | 1278 (8.3) | 1088 (13.0) | 3083 (11.0) | 4525 (12.6) | 10 156 (11.3) |
| 25–34.9 | 10 109 (35.2) | 18 632 (31.3) | 4476 (31.6) | 11 614 (34.3) | 2571 (41.4) | 3297 (38.9) | 1076 (32.6) | 4748 (30.7) | 3343 (39.9) | 10 322 (36.7) | 14 630 (40.7) | 34 521 (38.3) |
| 35–44.9 | 8639 (30.0) | 18 762 (31.5) | 4777 (33.8) | 10 681 (31.6) | 1720 (27.7) | 2457 (29.0) | 1030 (31.2) | 4909 (31.8) | 2486 (29.7) | 8864 (31.5) | 11 066 (30.8) | 28 334 (31.5) |
| 45–54.9 | 4346 (15.1) | 10 613 (17.8) | 2098 (14.8) | 5074 (15.0) | 761 (12.2) | 1148 (13.5) | 570 (17.3) | 2935 (19.0) | 1026 (12.3) | 4039 (14.4) | 4187 (11.6) | 11 916 (13.2) |
| 55+ | 2348 (8.2) | 5930 (10.0) | 1124 (7.9) | 2523 (7.5) | 434 (7.0) | 785 (9.3) | 260 (7.9) | 1579 (10.2) | 431 (5.1) | 1805 (6.4) | 1562 (4.3) | 5148 (5.7) |
| Origin | ||||||||||||
| 18 889 (65.7) | 29 138 (49.0) | 9575 (67.7) | 18 039 (53.3) | 5228 (84.1) | 6572 (77.5) | 2751 (83.3) | 12 389 (80.2) | 5538 (66.1) | 17 489 (62.2) | |||
| 731 (2.5) | 2576 (4.3) | 1595 (11.3) | 2619 (7.7) | 413 (6.6) | 926 (10.9) | 552 (16.7) | 3060 (19.8) | 481 (5.7) | 2115 (7.5) | |||
| 9138 (31.8) | 27 766 (46.7) | 2976 (21.0) | 13 187 (39.0) | 576 (9.3) | 977 (11.5) | 2355 (28.1) | 8509 (30.3) | |||||
| CD4+ cells/μl | ||||||||||||
| <200 | 1309 (23.5) | 6186 (30.3) | 1702 (27.4) | 2948 (34.8) | 881 (26.7) | 5651 (36.6) | 1932 (23.1) | 8266 (29.4) | 9525 (26.5) | 28 956 (32.1) | ||
| 200–349 | 1291 (23.1) | 4433 (21.7) | 1353 (21.8) | 1901 (22.4) | 636 (19.3) | 3093 (20.0) | 1661 (19.8) | 5430 (19.3) | 8346 (23.2) | 20 646 (22.9) | ||
| 350–499 | 1198 (21.5) | 3804 (18.7) | 1191 (19.2) | 1399 (16.5) | 666 (20.2) | 2661 (17.2) | 1743 (20.8) | 5173 (18.4) | 7519 (20.9) | 17 113 (19.0) | ||
| 500+ | 1785 (32.0) | 5968 (29.3) | 1971 (31.7) | 2227 (26.3) | 1120 (33.9) | 4044 (26.2) | 3038 (36.3) | 9244 (32.9) | 10 580 (29.4) | 23 360 (25.9) | ||
PWID, people who inject drug.
aFor France CD4+ cell counts concern only on the last study period (2008–2013).
Fig. 1Distribution of the stabilized weights assigned to cohorts’ participants, pooled over all time periods by transmission mode (MSM; people who inject drugs; other: mainly those reporting heterosexual contact as the source of infection), age group, region of origin, CD4+ cell count category and sex.