| Literature DB >> 31496675 |
Christina Lorentzou1, Giorgos Kouvarakis2, Georgios V Kozyrakis3, Nikolaos A Kampanis3, Irene Trahanatzi4, Othon Fraidakis4, Nikolaos Tzanakis5, Maria Kanakidou2, Panagiotis Agouridakis1, George Notas1,3.
Abstract
Introduction and objectives: Short-term extreme increases in desert-derived particulate-matter with aerodynamic diameter below 10 μm (PM10) may affect emergency department (ED) visits due to COPD exacerbations. Research question: Our aim was to identify the effect of extreme increases in desert-derived PM10 on ED visits for dyspnea and COPD exacerbations and on the related hospital admissions.Entities:
Keywords: COPD; desert dust storms; emergency department overcrowding; particulate-matter
Mesh:
Substances:
Year: 2019 PMID: 31496675 PMCID: PMC6689762 DOI: 10.2147/COPD.S208108
Source DB: PubMed Journal: Int J Chron Obstruct Pulmon Dis ISSN: 1176-9106
Figure 1Monthly mean of PM10 aerosols in Heraklion, Crete from January to May for the years 2016–2018. Values represent the monthly mean (μg/m3) + standard deviation.
Figure 2(A) Particulate matter with aerodynamic diameter below 10 μm (PM10) daily average and hourly mean day maximum during March 2018 in the geographic area of Heraklion. (B) Admissions to the departments of internal medicine (Int Med), cardiology (Cardio) and pulmonary (Pulmo) medicine during March 2018. (C) Total emergency department (ED) visits in Heraklion during the study period. (D) ED cases with dyspnea and COPD admissions at the University Hospital of Heraklion during the study period. We did not identify any increases in the studied parameters the days ensuing a desert dust storm.
Comparison of environmental and clinical information between days with and without desert dust storm. It is reasonable to have mostly southern winds during desert dust storms
| Studied parameters (Average±95% CI) | Desert storm days (including March 22nd) | Non-desert storm days | Desert storm March 22nd | |
|---|---|---|---|---|
| PM10 (μg/m3) | 309.5 (129.0–489.9) | 29.5 (20.8–38.3) | 0.011 | 1137.5 |
| Temperature (°C) | 13.2 (10.9–15.4) | 12.0 (10.9–13.1) | NS | 11.2 |
| Humidity (%) | 46.0 (39.0–53.1) | 55.1 (51.3–59.0) | NS | 44.8 |
| Wind speed (m/s) | 10.3 (0.0–25.1) | 6.6 (4.8–8.5) | NS | 2.8 |
| Wind direction (azimuth degrees, North =0°) | 174.9 (162.2–187.7) | 269.4 (240.4–298.3) | 3.7 ⨰ 10– | 187.9 |
| ED cases | 588.7 (559.1–618,3) | 546,6 (532,6–560,6) | NS | 578 |
| ED Patients with dyspnea | 30.0 (4.4–55.6) | 14.8 (12.7–16.8) | NS | 56 |
| ED patients with allergies | 12.0 (6.8–17.2) | 9.5 (7.2–11.8) | NS | 17 |
| Pulmonary medicine admissions | 8.7 (7.1–10.4) | 7.1 (6.2–8.1) | NS | 11 |
| COPD admissions | 3.0 (0.8–5.2) | 1.9 (1.3–2.5) | NS | 9 |
| Internal Medicine admissions | 15.1 (10.9–19.4) | 14.5 (12.7–16.4) | NS | 16 |
| Dyspnea admissions(all) | 9.3 (1.8–16.9) | 4.4 (3.4–5.5) | NS | 17 |
| Cardiology admissions | 12.3 (10.3–14.3) | 9.8 (8.3–11.2) | NS | 14 |
Pearson correlation results for the parameters tested. Significant results after Bonferroni correction of p (≤0.05/9=0.0056) are presented in bold
| Parameter studied | Pearson correlation coefficient | |
|---|---|---|
| ED cases | 0.313 | 0.128 |
| ED dyspnea cases | 0.929 | |
| ED allergy cases | 0.464 | 0.041 |
| Admissions Pulmonary medicine Department (Dept) | 0.467 | 0.040 |
| Admissions Pulmonary medicine Dept for COPD exacerbation | 0.813 | |
| Admissions Internal Medicine Dept | 0.527 | 0.022 |
| Admissions Internal Medicine Dept for dyspnea | 0.718 | |
| Admissions Cardiology Dept | 0.178 | 0.263 |
| Admissions Internal Medicine and Pulmonary medicine Dept | 0.634 | 0.006 |