| Literature DB >> 36168098 |
Daniel Schmidt1, Christian Kollan2, Barbara Bartmeyer2, Viviane Bremer2, Tim Schikowski2, Martin Friebe2, Sven Schellberg3, Stefan Scholten4, Markus Bickel5, Nikola Hanhoff6, Robin Rüsenberg6, Knud Schewe6.
Abstract
INTRODUCTION: Objectives of this study, as part of a nation-wide HIV pre-exposure prophylaxis (PrEP) evaluation project, were to determine the incidence of infections with HIV, chlamydia, gonorrhea, syphilis, hepatitis A/B/C in persons using PrEP, and to describe the health care funded PrEP use in Germany. Additionally, factors associated with chlamydia/gonorrhea and syphilis infections were assessed.Entities:
Keywords: Germany; HIV pre-exposure prophylaxis (PrEP); Health insurance coverage; Human immunodeficiency virus (HIV); Sexually transmitted infections (STI)
Year: 2022 PMID: 36168098 PMCID: PMC9514183 DOI: 10.1007/s15010-022-01919-3
Source DB: PubMed Journal: Infection ISSN: 0300-8126 Impact factor: 7.455
Fig. 1Distribution of participating study centers in Germany
Characteristics of the study population
| Total study population 4620 | |
|---|---|
| Age (years) | |
| 16–19 | 3 (0.1%) |
| 20–29 | 715 (15.5%) |
| 30–39 | 1864 (40.3%) |
| 40–49 | 1233 (26.7%) |
| 50–59 | 669 (14.5%) |
| ≥ 60 | 136 (2.9%) |
| Gender | |
| Male | 4581 (99.2%) |
| Female | 17 (0.4%) |
| Diverse | 4 (0.1%) |
| Trans (m- > f) | 12 (0.3%) |
| Trans (f- > m) | 6 (0.1%) |
| PrEP indication | |
| MSM | 4065 (88.0%) |
| MSM and other high risk contacts | 294 (6.4%) |
| MSM and HIV-discordant couple | 142 (3.1%) |
| Other high-risk contacts | 33 (0.7%) |
| MSM and IDU | 25 (0.5%) |
| HIV-discordant couple | 23 (0.5%) |
| IDU | 1 (0.0%) |
| Other combinations | 33 (0.7%) |
| Missing | 4 (0.1%) |
| PrEP type of administration | |
| Daily | 3737 (80.9%) |
| On Demand | 874 (18.9%) |
| Missing | 9 (0.2%) |
| PrEP start prior to 01/09/2019 | |
| Yes | 2466 (53.4%) |
| No | 2106 (45.6%) |
| Unknown/missing | 48 (1.0%) |
| PrEP interruption | |
| No | 4159 (90.0%) |
| Yes | 462 (10.0%) |
| PrEP discontinuation | |
| No | 4012 (86.8%) |
| Yes | 608 (13.2%) |
| Calculated PrEP pill coverage—PrEP prescriptions/time for all participants | |
| < 0.75 | 1069 (23.1%) |
| 0.75–1.24 | 3184 (68.9%) |
| ≥ 1.25 | 341 (7.9%) |
| Missing | 26 (0.6%) |
| Hepatitis A immunity | |
| Yes | 3358 (72.7%) |
| Incomplete | 201 (4.4%) |
| No | 299 (6.5%) |
| Not determined/missing | 762 (16.5%) |
| Hepatitis B immunity | |
| Yes | 3664 (79.3%) |
| Incomplete | 336 (7.3%) |
| No | 329 (7.1%) |
| Not determined/missing | 291 (6.3%) |
| STI in the 6 months prior to PrEP start | |
| Chlamydia | 231 (5.0%) |
| Gonorrhea | 261 (5.6%) |
| Syphilis | 234 (5.1%) |
| Multiple STI before PrEP start | 196 (4.2%) |
| No STI in the 6 months prior to PrEP start | 2777 (60.1%) |
| Unknown/missing | 921 (19.9%) |
Fig. 2Proportion of PrEP interruptions over time from September 2019 to December 2020
Fig. 3Primary reasons for discontinuing or interrupting PrEP. 905 reasons were documented for 725 individuals, combinations of reasons were categorized accordingly (multiple answers possible; proportion based on 905 reasons)
Description of persons with HIV infections
| Age | PrEP indication | PrEP use | Quotient Pills/days PrEP | PrEP start | PrEP Interruption (definition 4 weeks) | Last HIV negative test | HIV positive test | Days from PrEP start to HIV infection | Days from observation start to HIV infection | Reasons for HIV infection | HIV resistance | STI during PrEP use | STI before PrEP start |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 26 | MSM | On demand | 0.71 | 05.12.2019 | No | 11.03.2020 | 20.05.2020 | 167 | 167 | PrEP on demand with poor adherence | No | No | No |
| 27 | MSM | Daily | 1.82 | 06.01.2020 | No | 17.12.2019 | 07.02.2020 | 32 | 32 | HIV risk before PrEP start | No | Gonorrhoe 2019q4 | Unknown |
| 33 | MSM | On demand | 0.75 | 01.02.2019 | Yes 01.09.2019 –03.02.2020 | 27.01.2020 | 18.09.2020 | 595 | 270 | PrEP on demand with poor adherence | Other resistance not TDF/FTC associated | Syphilis 2019q4 | Syphilis |
| 33 | MSM | Daily | 0.60 | 02.11.2018 | No | 23.01.2020 | 22.06.2020 | 598 | 295 | Not documented | FTC resistance (M184IV) | Chlamydia 2020q1 | Syphilis |
Fig. 4STI incidence rate, positivity rate and number of tests among German PrEP users over time from September 2019 to December 2020
Incidence of STI infections on PrEP over time from September 2019 to December 2020
| 09/2019–12/2019 | 2020q1 | 2020q2 | 2020q3 | 2020q4 | Overall | |
|---|---|---|---|---|---|---|
| Persons | 1932 | 3842 | 4327 | 4226 | 4099 | 4620 |
| Person years (PY) at risk | 592.25 | 931.34 | 1054.07 | 1048.84 | 1017.91 | 4644.41 |
| Positive results chlamydia | 166 | 220 | 191 | 238 | 186 | 1101 |
| Chlamydia incidence rate | 28.03/100py | 23.62/100py | 18.12/100py | 22.69/100py | 18.27/100py | 21.55/100py |
| 95% CI | (24.07–32.63) | (20.7–26.96) | (15.72–20.88) | (19.98–25.77) | (15.83–21.1) | (20.24–22.93) |
| Ref. | 0.0957 | < 0.0001 | 0.0364 | 0.0001 | ||
| Positive results gonorrhea | 185 | 257 | 198 | 227 | 235 | 1102 |
| Gonorrhea incidence rate | 31.24/100py | 27.59/100py | 18.78/100py | 21.64/100py | 23.09/100py | 23.73/100py |
| 95% CI | (27.04–36.08) | (24.42–31.18) | (16.34–21.59) | (19.00–24.65) | (20.32–26.24) | (22.35–25.17) |
| Ref. | 0.1982 | < 0.0001 | 0.0002 | 0.0020 | ||
| Positive results syphilis | 76 | 100 | 113 | 83 | 96 | 468 |
| Syphilis incidence rate | 12.83/100py | 10.74/100py | 10.72/100py | 7.91/100py | 9.43/100py | 10.08/100py |
| 95% CI | (10.25–16.07) | (8.83–13.06) | (8.92–12.89) | (6.38–9.81) | (7.72–11.52) | (9.18–11.03) |
| Ref. | 0.2408 | 0.2248 | 0.0021 | 0.0440 | ||
| Positive results any STI | 427 | 577 | 502 | 548 | 517 | 2571 |
| Any STI incidence rate | 72.10/100py | 61.95/100py | 47.62/100py | 52.25/100py | 50.79/100py | 55.36/100py |
| 95% CI | (65.42–79.27) | (57.00–67.22) | (43.55–51.98) | (47.96–56.81) | (46.51–55.36) | (53.24–57.54) |
| Ref. | 0.0174 | < 0.0001 | < 0.0001 | 0.0002 |
*P value comparison for the incidence rates between quarters in reference to 09/2019–12/2019, P value obtained using the χ2-statistic [49]