| Literature DB >> 27544213 |
Thomas Feasson1,2, Mathilde Debeaupte3, Clément Bidet4, Florence Ader2,5,6, François Disant3,5, Tristan Ferry2,5,6, Christian Chidiac2,5,6, Florent Valour7,8,9.
Abstract
BACKGROUND: The experience of clinicians in charge of the in-hospital management of peritonsillar abscesses supports the association between severe forms and anti-inflammatory drug (AID) consumption. However, this observation is based on a limited number of clinical studies. Our objective was to assess the prevalence and impact of AID consumption in patients with peritonsillar abscesses.Entities:
Keywords: Anti-inflammatory drugs; Corticosteroids; Nonsteroidal anti-inflammatory drugs; Pharyngeal infection; Tonsillar abscess
Mesh:
Substances:
Year: 2016 PMID: 27544213 PMCID: PMC4992556 DOI: 10.1186/s12879-016-1761-2
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographics and comorbidities of the 216 included patients, and comparison according to the consumption of anti-inflammatory drugs prior to admission
| Total population | No AID consumption | AID consumption |
| |
|---|---|---|---|---|
| Demographics | 216 | 89 (41.2 %) | 127 (58.7 %) | |
| Sex (male) | 119 (55.1 %) | 52 (58.4 %) | 67 (52.8 %) | 0.410 |
| Age (years) | 32.2 (25.7–39.5) | 31.3 (25.6–38.9) | 32.8 (25.7–39.7) | 0.670 |
| Comorbidities | ||||
| BMI (kg/cm2) | 23.6 (21.7–26.5) | 25.1 (22.0–28.6) | 23.4 (20.6–25.8) | 0.091 |
| Diabetes | 3 (1.4 %) | 3 (3.4 %) | 0 (0.0 %) | 0.069 |
| Chronic respiratory disease | 2 (0.9 %) | 1 (1.1 %) | 1 (0.8 %) | 1.000 |
| Pharyngitis | 24 (11.1 %) | 13 (14.6 %) | 11 (8.7 %) | 0.171 |
| Peritonsillar suppuration | 16 (7.4 %) | 9 (10.1 %) | 7 (5.5 %) | 0.204 |
| Immunosuppression | 5 (2.3 %) | 1 (1.1 %) | 4 (3.1 %) | 0.651 |
| Hematological malignancy or solid tumor | 2 (0.9 %) | 0 (0 %) | 2 (1.6 %) | 0.513 |
| Tabaco consumption | 63 (52.1 %) | 30 (53.6 %) | 33 (50.8 %) | 0.758 |
Data are presented as n (%) for dichotomic variables and median (IQR) for continuous variables. For the calculation of each percentage, the number of missing values was excluded from the denominator. The two groups were compared by non-parametric tests (chi-square test, Fisher exact test and Mann–Whitney U-test), as appropriate
AID anti-inflammatory drug, BMI body mass index
Fig. 1Horizontal (panel a) and coronal (panel b) CT-scan disclosing voluminous bilateral tonsillar abscesses (asterisks) in one of the patient included in the study who had consumed AID before hospital admission
Bacteriological findings in 169 of the 216 patients included, and comparison according to the consumption of anti-inflammatory drugs prior to admission
| Total population | No AID | AID | AID vs. no AID | NSAID | NSAID vs. no AIDa | Corticosteroids | Corticosteroids vs. no AIDa | NAIDS vs. corticosteroidsa | |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
| ||||||
| Bacteriological analysis | 169 (78.2 %) | 65 (73.0 %) | 104 (81.9 %) | 0.125 | 65 (85.5 %) | 0.268 | 55 (82.1 %) | 0.588 | 0.632 |
|
| 110 (65.5 %) | 44 (67.7 %) | 66 (64.1 %) | 0.631 | 40 (62.5 %) | 0.424 | 37 (67.3 %) | 0.914 | 0.548 |
|
| 30 (17.9 %) | 17 (26.2 %) | 13 (12.6 %) | 0.026 | 10 (15.6 %) | 0.512 | 3 (5.5 %) | 0.022 | 0.131 |
|
| 55 (32.7 %) | 19 (29.2 %) | 36 (35.0 %) | 0.442 | 19 (29.7 %) | 0.452 | 25 (45.5 %) | 0.136 | 0.040 |
|
| 6 (3.6 %) | 4 (6.2 %) | 2 (1.9 %) | 0.207 | 1 (1.6 %) | 0.393 | 1 (1.8 %) | 0.648 | 1.000 |
|
| 4 (2.4 %) | 2 (3.1 %) | 2 (1.9 %) | 0.641 | 1 (1.6 %) | 1.000 | 1 (1.8 %) | 1.000 | 1.000 |
| Anaerobes | 66 (39.3 %) | 19 (29.2 %) | 47 (45.6 %) | 0.034 | 26 (40.6 %) | 0.070 | 25 (45.5 %) | 0.012 | 0.457 |
|
| 43 (25.6 %) | 11 (16.9 %) | 32 (31.1 %) | 0.041 | 18 (28.1 %) | 0.043 | 16 (29.1 %) | 0.028 | 0.802 |
|
| 11 (6.5 %) | 2 (3.1 %) | 9 (8.7 %) | 0.206 | 6 (9.4 %) | 0.110 | 4 (7.3 %) | 0.361 | 0.726 |
| Plurimicrobial infection | 61 (36.1 %) | 20 (30.8 %) | 41 (32.5 %) | 0.254 | 24 (36.9 %) | 0.658 | 24 (43.6 %) | 0.186 | 0.395 |
Data are presented as n (%). For the calculation of each percentage, the number of missing values was excluded from the denominator. Groups were compared by non-parametric tests (chi-square and Fisher exact tests), as appropriate
AID anti-inflammatory drug, NSAID non-steroidal anti-inflammatory drug, vs. versus
aExcluding patients receiving both NSAIDs and corticosteroids
Comparison of pre-hospital antibimicrobial use in patients infected or not by anaerobic bacteria
| Anaerobes | No anaerobes |
| |
|---|---|---|---|
| n | 66 | 102 | |
| Pre-hospital antibiotic therapy | 42 (63.6 %) | 64 (62.7 %) | 0.907 |
| Amoxicillin | 10 (15.2 %) | 23 (22.5 %) | 0.239 |
| Amoxicillin - clavulanic acid | 15 (22.7 %) | 28 (27.5 %) | 0.493 |
| Clindamycin | 2 (3.0 %) | 0 (0.0 %) | 0.153 |
| Anti-anaerobes therapy | 17 (28.5 %) | 29 (28.4 %) | 0.704 |
| Antimicrobial therapy duration (days) | 4.0 (3.0–7.0) | 3.0 (2.0–5.0) | 0.265 |
Data are presented as n (%) for dichotomic variables and median (IQR) for continuous variables. For the calculation of each percentage, the number of missing values was excluded from the denominator. The two groups were compared by non-parametric tests (chi-square test, Fisher exact test and Mann–Whitney U-test), as appropriate
In-hospital management of the 216 included patients, and comparison according to the consumption of anti-inflammatory drugs prior to admission
| Total population | No AID | AID | AID vs. no AID | NSAID | NAID vs. no AIDa | CT | Corticosteroids vs. no AIDa | NSAID vs. corticosteroidsa | |
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
| ||||||
| n | 216 | 89 (41.2 %) | 127 (58.7 %) | 76 (35.2 %) | 67 (31.0 %) | ||||
| Paraclinical tests | |||||||||
| CT-scan | 77 (35.6 %) | 38 (42.7 %) | 39 (30.7 %) | 0.070 | 23 (30.3 %) | 0.305 | 19 (28.4 %) | 0.185 | 0.842 |
| Abscess volume (cm3) | 4.4 (1.6–10.2) | 2.9 (0.9–7.8) | 6.8 (3.7–12.7) | 0.005 | 5.7 (3.2–10.6) | 0.028 | 7.1 (1.9–13.5) | 0.049 | 0.728 |
| CRP (mg/L) | 90.0 (44.4–156.5) | 109.5 (66.9–172.8) | 72.4 (38.3–133.0) | 0.002 | 95.1 (50.9–181.0) | 0.663 | 47.5 (26.5–81.5) | <10−3 | <10−3 |
| WBC (/mm3) | 14,400 (12,100–17,700) | 13,500 (12,000–16,200) | 15,400 (12,50–18,300) | 0.031 | 15,600 (12,600–17,700) | 0.131 | 15,500 (12,500–19,100) | 0.111 | 0.605 |
| Neutrophils (/mm3) | 13,600 (10,100–16,200) | 12,800 (9400–15,600) | 14,100 (10,400–16,500) | 0.326 | 14,200 (11,300–15,600) | 0.437 | 14,100 (10,300–17,000) | 0.454 | 0.927 |
| Hospitalisation | 215 (99.5 %) | 88 (98.9 %) | 127 (100.0 %) | 0.412 | 76 (100.0 %) | 1.000 | 67 (100.0 %) | 1.000 | NC |
| Hospital stay (d) | 3.0 (3.0–4.0) | 3.0 (3.0–4.0) | 3.0 (3.0–4.0) | 0.170 | 3.0 (3.0–4.0) | 0.492 | 3.0 (3.0–4.0) | 0.066 | 0.344 |
| ICU | 3 (1.4 %) | 1 (1.1 %) | 2 (1.6 %) | 1.000 | 2 (2.6 %) | 0.565 | 0 (0.0 %) | 1.000 | 0.499 |
| Surgical management | 203 (94 %) | 83 (93.3 %) | 120 (94.5 %) | 0.708 | 73 (96.1 %) | 0.740 | 63 (94 %) | 1.000 | 0.539 |
| Puncture/Incision | 199 (92.1 %) | 82 (92.1 %) | 117 (92.1 %) | 0.998 | 71 (93.4 %) | 0.918 | 62 (92.5 %) | 0.693 | 0.787 |
| Productive puncture | 152 (70.4 %) | 56 (62.9 %) | 96 (75.6 %) | 0.045 | 58 (76.3 %) | 0.268 | 53 (79.1 %) | 0.160 | 0.831 |
| Initial | 199 (92.1 %) | 82 (92.1 %) | 117 (92.1 %) | 0.998 | 71 (93.4 %) | 0.918 | 62 (92.5 %) | 0.758 | 0.787 |
| Secondary | 80 (37 %) | 34 (38.2 %) | 46 (36.2 %) | 0.767 | 31 (40.8 %) | 0.849 | 24 (35.8) | 0.294 | 0.419 |
| Surgery under GA | 21 (9.7 %) | 9 (10.1 %) | 12 (9.4 %) | 0.871 | 10 (13.2 %) | 0.982 | 6 (9.0 %) | 0.328 | 0.217 |
| Initial | 5 (2.3 %) | 1 (1.1 %) | 4 (3.1 %) | 0.330 | 3 (3.9 %) | 0.346 | 2 (3.0 %) | 1.000 | 1.000 |
| Secondary | 18 (8.3 %) | 8 (9.0 %) | 10 (7.9 %) | 0.806 | 9 (11.8 %) | 0.836 | 4 (6.0 %) | 0.155 | 0.122 |
| Cervicotomy | 2 (0.9 %) | 0 (0.0 %) | 2 (1.6 %) | 0.513 | 2 (2.6 %) | 0.161 | 0 (0.0 %) | NC | 0.499 |
| Tonsillectomy | 12 (5.6 %) | 4 (4.5 %) | 8 (6.3 %) | 0.765 | 7 (9.2 %) | 0.715 | 4 (6.0 %) | 0.653 | 0.372 |
| Iterative procedure | 93 (43.1 %) | 39 (43.8 %) | 54 (42.5 %) | 0.849 | 38 (50.0 %) | 0.887 | 27 (40.3 %) | 0.147 | 0.142 |
| Medical management | |||||||||
| IV antimicrobial therapy | 214 (99.1 %) | 88 (98.9 %) | 126 (99.2 %) | 1.000 | 75 (98.7 %) | 0.410 | 66 (98.5 %) | 1.000 | NC |
| Total duration (d) | 12.5 (11.0–15.0) | 12.0 (11.0–15.0) | 13.0 (10.0–16.0) | 0.249 | 12.0 (10.0–15.3) | 0.203 | 14.0 (12.0–17.5) | 0.046 | 0.007 |
| From hospital admission (d) | 10.0 (10.0–11.0) | 10.0 (10.0–12.0) | 10.0 (10.0–11.0) | 0.021 | 10.0 (10.0–11.0) | 0.204 | 10.0 (10.0–11.0) | 0.008 | 0.176 |
Data are presented as n (%) for dichotomic variables and median (IQR) for continuous variables. For the calculation of each percentage, the number of missing values was excluded from the denominator. The two groups were compared by non-parametric tests (chi-square test, Fisher exact test and Mann–Whitney U-test), as appropriate
AID anti-inflammatory drug, CRP C-reactive protein, CT-scan, computed tomography scan, d days, GA general anesthesia, ICU Intensive care unit, IV intravenous, NSAID non-steroidal anti-inflammatory drug, WBC white blood cell
aExcluding patients receiving both NSAIDs and CT