| Literature DB >> 26540199 |
Anja Schablon, Albert Nienhaus, Felix C Ringshausen, Alexandra M Preisser, Claudia Peters.
Abstract
Entities:
Year: 2015 PMID: 26540199 PMCID: PMC4634864 DOI: 10.1371/journal.pone.0142541
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 2Dot plots of individual responses to QFT for conversion after the second test.
The continuous line represents the cut-off 0.35 IU/ml and the dashed lines represent the borderline zone from 0.2 to <0.7 IU/ml for IFN-γ.
Fig 3Dot plots of individual responses to QFT for reversion after the second test.
The continuous line represents the cut-off 0.35 IU/ml and the dashed lines represent the borderline zone from 0.2 to <0.7 IU/ml for IFN-γ.
Description of the study population and frequencies and adjusted odds ratios (OR) including 95% confidence intervals (95% CI) for covariates associated with positive QFT results.
| Covariates | N/% | QFT-IT - | QFT-T + | OR | 95% CI |
|---|---|---|---|---|---|
| n (%) | n (%) | ||||
|
| |||||
| <25 years | 510 (13.3) | 496 (97.3) | 14 (2.7) | 1 | - |
| 25–35 years | 926 (24.2) | 878 (94.8) | 48 (5.2) | 1.72 | 0.93–3.18 |
| 35–45 years | 1039 (27.2) | 965 (92.9) | 74 (7.1) |
|
|
| 45–55 years | 975 (25.5) | 868 (89.0) | 107 (11.0) |
|
|
| >55 years | 373 (9.8) | 298 (79.9) | 75 (20.1) |
|
|
|
| |||||
| Female | 2959 (77.4) | 2716 (91.8) | 243 (8.2) | 1 | |
| Male | 864 (22.6) | 789 (91.3) | 75 (8.7) | 1.29 | 0.97–1.73 |
|
| |||||
| Germany | 3234 (84.6) | 3012 (93.1) | 222 (6.9) | 1 | |
| Foreign-born | 589 (15.4) | 493 (83.7) | 96 (16.3) |
|
|
|
| |||||
| No | 3788 (99.1) | 3485 (92.0) | 303 (8.0) | 1 | |
| Yes | 35 (0.9) | 20 (57.1) | 15 (42.9) |
|
|
|
| |||||
| no TST | 1348 (35.5) | 1254 (93.0) | 94 (7.0) | 1 | |
| negative | 1635 (42.8) | 1544 (94.4) | 91 (5.6) | 0.74 | 0.54–1.01 |
| positive | 840 (22.0) | 707 (84.2) | 133 (15.8) |
|
|
|
| |||||
| Other clinical wards | 610 (16.0) | 577 (94.6) | 33 (5.4) | 1 | |
| Internal medicine | 1286 (33.6) | 1190 (92.5) | 96 (7.5) | 1.40 | 0.92–2.15 |
| Admission ward | 244 (6.4) | 231 (94.7) | 13 (5.3) | 0.90 | 0.45–1.80 |
| Infection ward | 389 (10.2) | 355 (91.3) | 34 (8.7) |
|
|
| Geriatric care | 449 (11.7) | 404 (90.0) | 45 (10.0) |
|
|
| Radiology/Laboratory/Pathology | 293 (7.7) | 252 (86.0) | 41(14.0) |
|
|
| Administration | 117 (3.1) | 101 (86.3) | 16 (13.7) |
|
|
| ICU | 435 (11.4) | 395 (90.8) | 40 (9.2) | 1.50 | 0.91–2.49 |
|
| Not included in the final model | ||||
| Other | 302 (7.9) | 277 (91.7) | 25 (8.3) | 1 | |
| Physicians | 583 (15.2) | 538 (92.3) | 45 (7.7) | 0.82 | 0.47–1.45 |
| Nurses | 1962 (51.3) | 1804 (91.9) | 158 (8.1) | 0,95 | 0.58–1.55 |
| Administration staff | 267 (7.0) | 229 (85.8) | 38 (14.2) | 1.16 | 0.65–2.08 |
| Technicians and special ward staff | 222 (5.8) | 200 (90.1) | 22 (9.9) | 0.56 | 0.27–1.18 |
| Trainees | 177 (4.6) | 174 (98.3) | 3 (1.7) | 0.39 | 0.11–1.46 |
| Therapist/Auxiliaries | 310 (8.1) | 283 (91.3) | 27 (8.7) | 0.91 | 0.49–1.68 |
|
| Not included in the final model | ||||
| Serial examination | 2533 (66.3) | 2310 (91.2) | 223 (8.8) | 1 | |
| Contact tracing | 1290 (33.7) | 1195 (92.6) | 95 (7.1) | 0.86 | 0.66–1.14 |
|
| Not included in the final model | ||||
| No | 2084 (54.4) | 1909 (91.6) | 175 (8.4) |
| |
| Yes | 1739 (45.5) | 1596 (91.8) | 143 (8.2) | 0.89 | 0.69–1.15 |
* The final multivariate logistics model includes the variables age, gender, country of birth, TB in own history, workplace, TST
Rad/Lab/Path = Radiology, Laboratory, Pathology