| Literature DB >> 26929850 |
Matthew R Cohn1, Guang-Ting Cong1, Benedict U Nwachukwu2, Minda L Patt3, Pingal Desai2, Lester Zambrana1, Joseph M Lane2.
Abstract
BACKGROUND: Hip fractures are common in the elderly and are likely to become more prevalent as the US population ages. Early functional status is an indicator of longer term outcome, yet in-hospital predictors of functional recovery, particularly time of surgery and composition of support staff, after hip fracture surgery have not been well studied.Entities:
Keywords: geriatric trauma; rehabilitation; time to surgery; trauma surgery
Year: 2016 PMID: 26929850 PMCID: PMC4748158 DOI: 10.1177/2151458515615916
Source DB: PubMed Journal: Geriatr Orthop Surg Rehabil ISSN: 2151-4585
Figure 1.Flowchart illustration of patient exclusion.
Baseline Characteristics of Patients.
| Demographics | Total patients (N = 99) |
|---|---|
| Sex | |
| Male | 27 |
| Female | 62 |
| Age | 79.5 (±12.6) |
| ASA grade | |
| 1-2 | 25 |
| 3-4 | 71 |
| Type of fracture | |
| Subcapital | 9 |
| Subtrochanteric | 1 |
| Femoral neck | 63 |
| Intertrochanteric | 24 |
| Basicervical | 2 |
Patient Characteristics Stratified by Timing of Surgery.a
| Demographics | Delay of surgery | Time of day | ||
|---|---|---|---|---|
| No delay | Delay | Daytime | After hours | |
| Sexb | ||||
| Male | 14 (23) | 13 (35) | 20 (28) | 7 (26) |
| Female | 48 (77) | 24 (65) | 52 (72) | 20 (74) |
| Agec | 78 ± 12 | 82 ± 14 | 79 ± 12 | 82 ± 13 |
| ASA gradeb | ||||
| 1-2 | 18 (30) | 7 (19) | 21 (31) | 4 (15) |
| 3-4 | 41 (70) | 29 (80) | 47 (69) | 23 (85) |
| Arthroplastyb | 40 (65) | 28 (76) | 52 (72) | 16 (59) |
| Type of fractureb | ||||
| Subcapital | 7 (11) | 2 (5) | 6 (8.3) | 3 (11) |
| Subtrochanteric | 1 (2) | 0 (0) | 1 (1) | 0 (0) |
| Femoral neck | 34 (55) | 29 (78) | 49 (68) | 14 (52) |
| Intertrochanteric | 19 (31) | 5 (14) | 14 (19) | 10 (37) |
| Basicervical | 1 (2) | 1 (3) | 2 (3) | 0 (0) |
aThere were no significant p values for any of the comparisons.
bThe values are given as the number of patients with the percentage in parentheses.
cThe values are given as the mean and the standard deviation in years.
Effects of Operative Delay, Time of Surgery, Surgical Staff Experience and ASA on Early Ambulation.
| Ambulation by POD3 Odds ratio (95% confidance interval) |
| |
|---|---|---|
| No. delay of surgery | 5.50 (2.25-13.47) | <.01 |
| ASA 1-2 | 12.75 (1.03-157.14) | .05 |
| ASA 3-4 | 5.95 (2.07-16.99) | <.01 |
| 80 years or younger | 3.125 (0.523-18.70) | NS |
| 81 years or older | 6.909 (2.16-22.10) | <.01 |
| Male | 5.14 (0.81-32.77) | NS |
| Female | 7.05 (2.34-21.20) | <.01 |
| Daytime surgery | 1.71 (0.69-4.219) | NS |
| Anesthesiologist | 1.47 (0.62-3.50) | NS |
| Circulating Nurse | 1.68 (0.56-5.13) | NS |
| Scrub Technician | 7.50 (1.46-38.44) | <.01 |
| ASA 1-2 | 3.94 (1.22-12.68) | .02 |
Abbreviation: NS, Not significant.
The Impact of Surgical Delay Beyond 48 Hours on Surgical Factors.
| <48 hours (N = 62) | >48 hours (N = 27) |
| |
|---|---|---|---|
| Surgical time, min | 119 (±41.6) | 120 (±45.1) | .90 |
| Anesthesia time, min | 233 (±70.4) | 236.3 (± 68.6) | .83 |
| Blood loss, mL | 230 (±117) | 250 (±163) | .49 |
| ASA 1-2 | 218 (±126) | 264 (±94.5) | .39 |
| ASA 3-4 | 234 (±114) | 244 (±175) | .78 |
| Length of stay, days | 5.94 (±2.73) | 7.89 (±6.23) | .08 |
| ASA 1-2 | 5.47 (±2.35) | 4.71 (±2.29) | .48 |
| ASA 3-4 | 6.15 (±2.89) | 8.50 (±6.60) | .08 |
The Impact of Surgery After Hours on Surgical Factors.
| Daytime (N = 70) | After Hours (N = 29) |
| |
|---|---|---|---|
| Surgical time, min | 125 (±42.5) | 104 (±39.4) | .03 |
| Anesthesia time, min | 244 (±67.2) | 205 (±67.8) | .01 |
| Blood loss, mL | 229 (±149) | 202 (±120) | .40 |
| ASA 1-2 | 223 (±121) | 225 (±119) | .91 |
| ASA 3-4 | 247 (±144) | 217 (±131) | .43 |
| Length of stay, days | 6.63 (±4.50) | 6.72 (±4.32) | .93 |
| ASA 1-2 | 4.94 (±2.32) | 6.40 (±2.07) | .22 |
| ASA 3-4 | 7.25 (±4.96) | 6.85 (±4.76) | .76 |