| Literature DB >> 30062141 |
Allison G Ordemann1, Anna Jade Hartzog2, Samantha R Seals3, Christopher Spankovich1, Scott P Stringer1.
Abstract
OBJECTIVE: To determine if a correlation exists between weight-for-age percentile and post-tonsillectomy hemorrhage in the pediatric population. STUDYEntities:
Keywords: Tonsillectomy; hemorrhage; obesity; pediatric; postoperative
Year: 2018 PMID: 30062141 PMCID: PMC6057213 DOI: 10.1002/lio2.155
Source DB: PubMed Journal: Laryngoscope Investig Otolaryngol ISSN: 2378-8038
Patient Characteristics
| Characteristic | Overall n = 1418 | No Bleed n = 1387 | Bleed n = 31 |
| |
|---|---|---|---|---|---|
| Age (y) | 5.45 (4.1) | 5.435 (4.1) | 5.84 (3.7) | .483 | |
| Sex (F) | 670 (47.2%) | 656 (47.3%) | 14 (45.2%) | .855 | |
| Weight‐for‐age % | 75.255 (52.0) | 75.57 (51.7) | 70.6 (65.4) | .515 | |
| Operation | T | 194 (13.7%) | 185 (13.3%) | 9 (29.0%) | .029 |
| AT | 1224 (86.3%) | 1202 (86.7%) | 22 (71.0%) | ||
| Method | B | 1211 (85.4%) | 1183 (85.3%) | 28 (90.3%) | .876 |
| S | 179 (12.6%) | 176 (12.7%) | 3 (9.7%) | ||
| C | 24 (1.7%) | 24 (1.7%) | 0 (0.0%) | ||
| Adenoid Size | 1 | 162 (11.4%) | 160 (11.5%) | 2 (6.5%) | .881 |
| 2 | 407 (28.7%) | 401 (28.9%) | 6 (19.4%) | ||
| 3 | 407 (28.7%) | 398 (28.7%) | 9 (29.0%) | ||
| 4 | 291 (20.5%) | 286 (20.6%) | 5 (16.1%) | ||
| Tonsil Size | 1 | 92 (6.5%) | 90 (6.5%) | 2 (6.5%) | .768 |
| 2 | 285 (20.1%) | 279 (20.1%) | 6 (19.4%) | ||
| 3 | 557 (39.3%) | 547 (39.4%) | 10 (32.3%) | ||
|
| 4 | 481 (33.9%) | 468 (33.7%) | 13 (41.9%) |
|
|
| |||||
| Antibiotics | 646 (45.6%) | 634 (45.7%) | 12 (38.7%) | .471 | |
| Narcotics | 1076 (75.9%) | 1052 (75.8%) | 24 (77.4%) | 1.000 | |
| NSAID | 499 (35.2%) | 488 (35.2%) | 11 (35.5%) | 1.000 | |
| Steroids | 710 (50.1%) | 690 (49.7%) | 20 (64.5%) | .145 | |
|
| |||||
| PTA | 8 (0.6%) | 8 (0.6%) | 0 (0.0%) | 1.000 | |
| Tonsillitis | 500 (35.3%) | 489 (35.2%) | 11 (35.4%) | .550 | |
| Hypertrophy | 1111 (78.3%) | 1088 (78.4%) | 23 (74.2%) | .513 | |
| OSA | 209 (14.7%) | 206 (14.9%) | 3 (9.7%) | .609 | |
| PFAPA | 7 (0.5%) | 6 (0.4%) | 1 (3.2%) | .144 | |
| SDB | 786 (55.4%) | 766 (55.2%) | 20 (64.5%) | .363 | |
| Tonsil Asymmetric | 2 (0.1%) | 2 (0.1%) | 0 (0.0%) | 1.000 | |
| Traumatic Laceration | 1 (0.1%) | 1 (0.1%) | 0 (0.0%) | 1.000 | |
|
| 1 | 294 (20.7%) | 289 (20.8%) | 5 (0.19%) | .497 |
| 2 | 446 (31.5%) | 437 (31.5%) | 9 (33.3%) | ||
| 3 | 71 (5.0%) | 67 (4.8%) | 4 (14.8%) | ||
| 4 | 220 (15.5%) | 216 (15.6%) | 4 (14.8%) | ||
| 5 | 154 (10.9%) | 151 (10.9%) | 3 (11.1%) | ||
| Attending | 233 (16.4%) | 227 (16.4%) | 6 (22.2%) | ||
AT = adenotonsillectomy; B = Bovie; C = Coblator; OSA = Obstructive Sleep Apnea; PFAPA = Periodic Fever, Aphthous Stomatitis, Pharyngitis, Cervical Adenitis; PTA = peritonsillar abscess; SDB = sleep disturbed breathing; S = Snare (cold steel technique); T = Tonsillectomy.
Unadjusted Relationships (Logistic Regression).
| Characteristic | Odds Ratio (95% CI) |
|
|---|---|---|
| Sex | F 0.89 (0.42, 1.92) | .775 |
| Weight for Age | 1.00 (0.98, 1.01) | .458 |
| Method (B, S, or C) | B 1.06 (0.06, 18.89) | .773 |
| S 0.69 (0.03, 15.72) | .687 | |
| C ‐ ref ‐ | ‐ ref ‐ | |
|
| ||
| Antibiotics | 0.59 (0.26, 1.33) | .204 |
| Narcotic use | 0.91 (0.38, 2.18) | .838 |
| NSAID use | 1.26 (0.58, 2.75) | .553 |
| Steroid use | 2.40 (1.04, 5.52) | .039 |
B = Bovie Electrocautery; C = Coblator; F= Female; S = Snare/Cold steel technique.
Unadjusted Relationships (Mulitnomial Logistic Regression).
| Category 1 | Category 2 | Category 3 | ||||
|---|---|---|---|---|---|---|
| Characteristic | Odds Ratio (95% CI) |
| Odds Ratio (95% CI) |
| Odds Ratio (95% CI) |
|
| Sex (F) | 0.478 (0.123, 1.854) | .286 | 0.743 (0.209,2.644) | .646 | 1.950 (0.568, 6.692) | .513 |
| Weight for Age | 0.992 (0.973, 1.011) | .417 | 0.999 (0.979, 1.019) | .903 | 0.995 (0.977, 1.014) | .605 |
|
| ||||||
| Antibiotics | 0.509 (0.131 1.977) | .329 | 0.509 (0.131, 1.977) | .329 | 1.425 (0.433, 4.692) | .56 |
| Narcotic use | .478 (0.134,1.703) | .255 | 2.866 (0.362, 22.704) | .319 | 0.849 (0.224, 3.219) | .81 |
| NSAID use | 1.228 (0.345,4.373) | .751 | 0.790 (0.203, 3.067) | .733 | 1.053 (0.307, 3.614) | .935 |
| Steroid use | 4.041 (.855, 19.095) | .078 | 0.253 (0.53, 1.0193) | .082 | 10.101 (1.290, 79.123) | .028 |