| Literature DB >> 35602920 |
Silvia Bielsa1, Ana Guitart2, Aureli Esquerda3, Rodrigo Fernández-Pacheco4, Maria Teresa Baranguán2, Alfonso Ibarra4, José M Porcel1.
Abstract
Objectives: Exposure to silica nanoparticles has been associated with pleural effusions (PEs) in animal models and case series. We hypothesized that some PEs labelled as "idiopathic" could, in fact, be secondary to inhalation of silica.Entities:
Keywords: idiopathic pleural effusion; occupational disease; pleural effusion; silica nanoparticles
Year: 2022 PMID: 35602920 PMCID: PMC9069498 DOI: 10.1515/pp-2021-0135
Source DB: PubMed Journal: Pleura Peritoneum ISSN: 2364-768X
Occupational groups among cases and controls.
| Variable | Cases, n=59 | Controls, n=59 | p-Value |
|---|---|---|---|
| Current or previous professions | |||
| Homemakers, janitors, or kitchen workers | 9 (15%)a | 10 (17%) | |
| Agricultural or animal husbandry | 11 (19%) | 14 (24%) | |
| Skilled laborersb | 22 (37%) | 13 (20%) | |
| Office worker or similar | 16 (27%) | 17 (29%) | |
| Other | 1 (2%)c | 5 (8%)d | |
| Occupational exposure to silica | 25 (42%, 95% CI 31–55) | 13 (22%, 95% CI 13–34) | 0.018 |
| Odds ratio of occupational exposure | 2.6 (95% CI 1.2–5.8) | – | |
| EAF | 0.62 (95% CI 0.14–0.83) | – | |
| PAF | 0.26 (95% CI 0.12–0.49) | – | |
aTwo were industrial cleaners with aerosol contact. bBricklayer/carpenter/mechanic/miner/painter. cSand factory. dTwo truck drivers, and one each electrical technician, watchmaker, and long-term unemployed. EAF, exposure-attributable fraction; PAF, population-attributable fraction.
Distribution of occupations among subjects with active working age (<65 years).
| Variable name | Cases, n=26 | Controls, n=26 | p-Value |
|---|---|---|---|
| Actual or previous professions | |||
| Homemakers, janitors, and kitchen workers | 5 (19%)a | 3 (12%) | |
| Agricultural or animal husbandry | 2 (8%) | 4 (5%) | |
| Skilled laborersb | 10 (38%) | 5 (19%) | |
| Office worker or similar | 9 (35%) | 9 (35%) | |
| Other | 0 | 5 (27%)c | |
| Occupational exposure to silica | 12 (46%, 95% CI 29–65) | 5 (19%, 95% CI 9–38) | 0.038 |
| Odds ratio of occupational exposure | 3.6 (95% CI 1.04–12.48) | ||
| EAF | 0.72 (95% CI 0.04–0.92) | ||
| PAF | 0.33 (95% CI 0.13–0.63) | ||
aTwo were industrial cleaners with aerosol contact. bBricklayer/carpenter/mechanic/miner/painter. cTwo truck drivers and one each electrical technician, watchmaker, and long-term unemployed. EAF, exposure-attributable fraction; PAF, population-attributable fraction.
Figure 1:Diagram of selected patients for the analysis of the presence of pleural fluid silica.
Characteristics of patients with detectable silica levels in pleural fluid.
| Sex and age, years | Job | Exposure time, years | Type of protective mask and time using it at work | Pleural biopsy method | PF silica, mg/L, mean ± SD |
|---|---|---|---|---|---|
| Man, 40 | Bricklayer | 4 | Cotton, 50% | Thoracoscopy | 4.902 ± 0.423 |
| Man, 37 | Paint factory | 4 | Cotton, 10% | Ultrasound-guided | 4.174 ± 0.768 |
| Man, 61 | Airplane mechanic | 12 | Cotton, 5% | Thoracoscopy | 0.313 ± 0.077 |
| Man, 60 | Pottery factory | 5 | No | Not performed | 0.1 ± 0.022 |
PF, pleural fluid; SD, standard deviation of the silica amount.
Serum and pleural fluid parameters in patients who underwent silica evaluation in pleural fluid and/or biopsy specimens.
| Exposed cases | Control patients | p-Value | |||
|---|---|---|---|---|---|
| Silica positive | Silica negative | Exposed | Non-exposed | ||
| Number of patients | 5a | 4 | 8 | 8 | |
| Age, years | 40 (35–61) | 63 (44–66) | 53 (42–64) | 50 (39–65) | 0.454 |
| Silica levels, mean ± SD | 2.37 ± 2.52 | 0 ± 0 | 0 ± 0 | 0 ± 0 | 0.01 |
| Serum leukocytes/µL | 9,980 (7,655–14,338) | 9,005 (7,388–11,913) | 10,905 (6,923–11,205) | 9,445 (7,925–13,635) | 0.966 |
| Serum neutrophils/µL | 6,185 (4,860–6,970) | 5,575 (3,935–9,578) | 7,550 (4,750–8,493) | 6,915 (5,510–11,768) | 0.585 |
| Serum lymphocytes/µL | 2,850 (1,485–4,973) | 2,305 (1,338–2,605) | 1,420 (1,008–2003) | 1,455 (783–1700) | 0.103 |
| Serum eosinophils/µL | 700 (300–1,160)b | 280 (190–475) | 190 (155–370) | 40 (10–283) | 0.025 |
| PF erythrocytes/µL | 2,300 (1,000–21,050) | 11,300 (2,248–19,475) | 6,650 (2,550–36,900) | 15,550 (1,625–136,675) | 0.77 |
| PF leukocytes/µL | 3,400 (1,272–7,303) | 1,621 (594–11,800) | 1,048 (207–3,291) | 2,317 (677–5,837) | 0.39 |
| PF neutrophils/µL | 208 (142–314) | 100 (16–6,874) | 469 (104–987) | 701 (74–4,865) | 0.603 |
| PF lymphocytes/µL | 3,128 (637–7,039) | 1,387 (496–4,940) | 443 (322–2,489) | 882 (258–2,521) | 0.415 |
| PF eosinophils >10% | 2 (40) | 1 (25) | 0 (0) | 0 (0) | 0.085 |
Data are presented as median (interquartile range) or number (percentages) unless otherwise specified. aIncluding one patient with demonstrable silica on pleural biopsy, in whom no PF was available for silica detection. bSignificantly higher than the respective values in other groups by post-hoc test. PF, pleural fluid; SD, standard deviation.
Figure 2:Energy dispersive X-ray analysis of a pleural tissue specimen.(A) Transmission electron microscopy images of silica nanoparticles obtained from pleural tissue (scale bar=200 nm). (B) Energy dispersive X-ray analysis revealed silica nanoparticles (Si) and peaks of carbon (C), oxygen (O), and copper (Cu). The copper readings in the Figure were from the grid holding the sample, not the sample itself.