| Literature DB >> 22835090 |
Muhammad Waseem1, Viraj Lakdawala, Rohit Patel, Ramnath Kapoor, Mark Leber, Xuming Sun.
Abstract
BACKGROUND: Lacerations account for a large number of ED visits. Is there a "golden period" beyond which lacerations should not be repaired primarily? What type of relationship exists between time of repair and wound infection rates? Is it linear or exponential? Currently, the influence of laceration age on the risk of infection in simple lacerations repaired is not clearly defined. We conducted this study to determine the influence of time of primary wound closure on the infection rate.Entities:
Year: 2012 PMID: 22835090 PMCID: PMC3414831 DOI: 10.1186/1865-1380-5-32
Source DB: PubMed Journal: Int J Emerg Med ISSN: 1865-1372
Figure 1Study Procedures and Enrollment.
Patients’ characteristics according to infection or non-infection in the study
| | ||||
|---|---|---|---|---|
| Age | [median (mean ± SD)] | 34.0 (34.6 ± 9.6) | 34.0 (38.0 ± 15.1) | 0.73** |
| Race | ||||
| | African American | 1 (10%) | 94 (32.8%) | 0.0005 |
| | Hispanic | 7 (70%) | 188 (65.5%) | |
| | White | 2 (20%) | 5 (1.7%) | |
| Gender | ||||
| | Male | 8 (80%) | 216 (75.3%) | 0.73 |
| | Female | 2 (20%) | 71 (24.7%) | |
| Location | ||||
| | Scalp | 0 (0%) | 26 (9.1%) | 0.33 |
| | Face | 1 (10%) | 83 (28.9%) | |
| | Trunk | 0 (0%) | 6 (2.1%) | |
| | Extremity | 4 (40%) | 56 (19.5%) | |
| | Hand | 5 (50%) | 116 (40.4%) | |
| Mechanism | ||||
| | Sharp | 9 (90%) | 242 (84.3%) | 0.62 |
| | Crush | 1 (10%) | 45 (15.7%) | |
| Co-morbidities | ||||
| | None | 7 (70%) | 257 (89.5%) | 0.15 |
| | Diabetes | 1 (10%) | 9 (3.2%) | |
| | Immunocompromised | 0 (0%) | 5 (1.7%) | |
| | Other | 2 (20%) | 16 (5.6%) | |
| Anesthesia | ||||
| | Lidocaine 1% | 7 (70%) | 239 (83.3%) | 0.54 |
| | Lidocaine with epinephrine | 1 (10%) | 16 (5.6%) | |
| | Digital block | 2 (20%) | 32 (11.1%) | |
| Suture | ||||
| | 0 = Nonabsorbable only | 10 (100%) | 256 (89.2%) | 0.54 |
| | 1 = Absorbable | 0 (0%) | 7 (2.4%) | |
| 2 = Staples | 0 (0%) | 24 (8.4%) | ||
*Chi-square or Fisher’sexact test.
** Wilcoxon-Mann-Whitney test.
Figure 2Shows box plots distribution of length of laceration between the infection and non-infection group.
Patients’ clinical measurements according to infection or non-infection in the study
| | |||
|---|---|---|---|
| Length of laceration (cm) | 3.5 (4.1 ± 3.1) | 2.5 (2.7 ± 1.9) | 0.17 |
| Time of laceration (min) | 867.0 (944.5 ± 3.1) | 330.0 (578.9 ± 749.7) | 0.03 |
*Wilcoxon-Mann-Whitney test.
Figure 3Shows box plots distribution of time of laceration between the infection and non-infection group.
Figure 4Shows time of laceration repair in patients with wound infection.
Figure 5Shows combined histograms comparing distribution of frequencies of infection and non-infection group.
Characteristics of patients who developed infection after laceration repair
| 22 | Extremity | Sharp | No | Obesity | 220 | 4 |
| 50 | Face | Crush | No | Diabetes, | 287 | 1.5 |
| | | | | obesity | | |
| 27 | Hand | Sharp | No | None | 290 | 9 |
| 33 | Hand | Sharp | No | None | 300 | 1 |
| 40 | Hand | Sharp | Yes | None | 657 | 2.5 |
| 46 | Extremity | Sharp | No | Pneumonia, | 1,077 | 10 |
| | | | | malnutrition | | |
| 25 | Hand | Sharp | No | None | 1,439 | 1.5 |
| 26 | Hand | Sharp | No | None | 1,707 | 3.5 |
| 42 | Extremity | Sharp | No | None | 1,728 | 5 |
| 35 | Extremity | Sharp | No | None | 1,740 | 3.5 |