| Literature DB >> 35971104 |
Mingming Fu1, Junfei Guo2, Yaqian Zhang1, Yuqi Zhao1, Yingze Zhang2,3,4, Zhiyong Hou5,6, Zhiqian Wang7.
Abstract
BACKGROUND: Due to concomitant factors like frailty and comorbidity, super elderly (≥90 years) patients with hip fracture differ from patients aged 65-89 years in perioperative complications and mortality. The integrated management bundle referred to bundled application of multiple clinical measures. The aim of this study was to analyze effect of integrated management bundle on 1-year overall survival and perioperative outcomes in super elderly patients with hip fracture, with multidisciplinary management group serving as the control group.Entities:
Keywords: Hip fracture; Management bundle; Perioperative complications; Super elderly; Survival
Mesh:
Substances:
Year: 2022 PMID: 35971104 PMCID: PMC9377134 DOI: 10.1186/s12891-022-05720-z
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.562
Perioperative management measures
| The multidisciplinary management | The integrated management bundle |
|---|---|
| 1. The super elderly patients with hip fracture received monitor of electrocardiogram, mean arterial pressure and pulse oxygen saturation to ensure timely detection and treatment of complications [ | 1. Evaluation and education: Electrocardiogram, mean arterial pressure, and pulse oxygen saturation were monitored in patients. A comprehensive geriatric examination was performed after admitted to identify potential risks and intervene in a timely manner [ |
| 2. Patient who recently had weight loss or a low body mass index on admission received assessment of nutritional status. Nutrition therapy was only available for a subset of patients [ | 2. Nutritional support: Patients were assessed for their nutritional status and performed nutritional treatment according to the specific situation. Use of probiotics and prokinetics was to prevent acute gastrointestinal dysfunction. Oral feeding was the main method. If food intake was insufficient, a nasogastric tube should be inserted to avoid electrolyte imbalance. Milk powder, protein powder, and enteral nutritional suspension were utilized as nutritional supplement [ |
| 3. Patients with pulmonary infection or respiratory failure received oxygen treatment. | 3. Respiratory management: Chest physiotherapy and breathing exercises were important, which included actively cough, accessary posture productive cough and turnover [ |
| 4. In order to prevent deep vein thrombosis, low molecular weight heparin and ankle pump exercise were administered according to the circumstances [ | 4. Volume management: The purpose of perioperative rehydration was to maintain fluid balance as much as possible [ |
| 5. To ameliorate pain, analgesics including opioid, nonsteroidal anti-inflammatory drug, or acetaminophen were given. | 5. Blood management: In consideration of comorbidities and overall condition, patients were recommended to maintain an HGB level of at least 10 g per deciliter [ |
| 6. Patients with suspected urinary retention received a single catheter. If urinary retention persisted, the catheter would remain in place for several days according to the circumstances [ | 6. Thrombus management: Actively take basic prevention, physical prevention, drug prevention and other measures to prevent lower extremity deep vein thrombosis [ |
| 7. No food was allowed within 8 hours before the operation. | 7. Pain management and sedation: Multimodal analgesia was suggested by clinical guidelines, included effective early analgesia, analgesic drugs and patient-controlled analgesia [ |
| 8. Tube management: Urinary retention was relieved by a single catheterization, and the second remained urethral catheter in place for 1 to 2 days [ | |
| 9. Carbohydrate-rich drinks and water might be consumed up to 2 hours before the operation. A normal diet was allowed 6 hours before the operation. The exceptions to this were patients experienced delayed gastric emptying and intestinal obstruction. |
Fig. 1The flow diagram of the study
Baseline characteristics of super elderly patients with hip fracture
| Total | Multidisciplinary management group | Integrated management bundle group | ||
|---|---|---|---|---|
| | 46(25.6%) | 25 (25.8%) | 21 (25.3%) | 0.942 |
| | 134(74.4%) | 72(74.2%) | 62(74.7%) | |
| 92.3 ± 2.6 | 92.4 ± 2.9 | 92.1 ± 2.2 | 0.561 | |
| | 153 (85.0%) | 80 (82.5%) | 73 (88.0%) | 0.305 |
| | 27 (15.0%) | 17 (17.5%) | 10 (12.0%) | |
| 102.7 ± 16.6 | 102.2 ± 16.2 | 103.3 ± 17.2 | 0.611 | |
| | 28 (15.6%) | 16 (16.5%) | 12 (14.5%) | 0.769 |
| | 73 (40.6%) | 36 (37.1%) | 37 (44.6%) | |
| | 64 (35.6%) | 37 (38.1%) | 27 (32.5%) | |
| | 15 (8.3%) | 8 (8.2%) | 7 (8.4%) | |
| | 54 (30.0%) | 37 (38.1%) | 25 (30.1%) | 0.259 |
| | 126 (70.0%) | 60 (61.9%) | 58 (69.9%) | |
| | 39 (21.7%) | 23 (23.7%) | 19 (22.9%) | 0.757 |
| | 19 (10.6%) | 8 (8.2%) | 12 (14.5%) | |
| | 64 (35.6%) | 35 (36.1%) | 29 (34.9%) | |
| | 53 (29.4%) | 29 (29.9%) | 20 (24.1%) | |
| | 5 (2.8%) | 2 (2.1%) | 3 (3.6%) | |
| | 163 (90.6%) | 89 (91.8%) | 74 (89.2%) | 0.553 |
| | 17 (9.4%) | 8 (8.2%) | 9 (10.8%) | |
| | 61 (33.9%) | 33 (34.0%) | 28 (33.7%) | 0.968 |
| | 119 (66.1%) | 64 (66.0%) | 55 (66.3%) | |
| 0.5 (0.2, 2.0) | 0.4 (0.2, 2.0) | 0.8 (0.2, 2.0) | 0.498 | |
| | 54 (30.0%) | 29 (29.9%) | 25 (30.1%) | 0.974 |
| | 126(70.0%) | 68 (70.1%) | 58 (69.9%) | |
| | 82 (45.6%) | 38 (39.2%) | 44 (53.0%) | 0.063 |
| | 98 (54.4%) | 59 (60.8%) | 39 (47.0%) | |
Values are presented as mean ± standard deviation, median (interquartile range), or number (percentage) as appropriate. ASA American Society of Anesthesiologists, mECM modified Elixhauser’s Comorbidity Measure
Fig. 2Kaplan - Meier curves of super elderly patients with hip fracture
Univariable and multivariable analysis for the effect of integrated bundle on 1-year overall survival in hip fracture patients aged 90 and over
| Characteristics | Univariable analysis | Multivariable analysis | ||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| | Reference | 0.932 | Reference | 0.620 |
| | 1.038 (0.441–2.441) | 1.247 (0.520–2.990) | ||
| | Reference | 0.659 | Reference | 0.870 |
| | 1.243 (0.473–3.270) | 1.085 (0.407–2.890) | ||
| | Reference | 0.026* | Reference | 0.030* |
| | 2.321 (1.104–4.879) | 2.401 (1.086–5.307) | ||
| | Reference | 0.267 | Reference | 0.334 |
| | 1.623(0.690–3.817) | 1.558(0.634–3.826) | ||
| | Reference | 0.518 | Reference | 0.376 |
| | 0.779 (0.365–1.663) | 0.691 (0.305–1.566) | ||
| | Reference | 0.831 | Reference | 0.664 |
| | 0.922 (0.439–1.938) | 0.846 (0.398–1.799) | ||
| | Reference | 0.552 | Reference | 0.669 |
| | 0.646 (0.153–2.723) | 0.720 (0.160–3.248) | ||
| | Reference | 0.886 | Reference | 0.533 |
| | 1056 (0.500–2.233) | 0.765 (0.329–1.777) | ||
| Reference | 0.047* | Reference | 0.046* | |
| 0.435 (0.192–0.988) | 0.428 (0.186–0.986) | |||
Comparisons of perioperative complications and outcomes between two groups
| Variables | Total | Multidisciplinary management group | Integrated management bundle group | |
|---|---|---|---|---|
| | ||||
| | 110 (61.1%) | 59 (60.8%) | 51 (63.9%) | 0.676 |
| | 68 (37.8%) | 38 (39.2%) | 30 (36.1%) | |
| | ||||
| | 114 (63.3%) | 63 (64.9%) | 51 (61.4%) | 0.627 |
| | 66 (36.7%) | 34 (35.1%) | 32 (38.6%) | |
| | ||||
| | 85 (47.2%) | 50 (51.5%) | 35 (42.2%) | 0.209 |
| | 95 (52.8%) | 47 (48.5%) | 48 (57.8%) | |
| | ||||
| | 25 (13.9%) | 12 (12.4%) | 13 (15.7%) | 0.524 |
| | 155 (86.1%) | 85 (87.6%) | 70 (84.3%) | |
| | ||||
| | 95 (52.8%) | 51 (52.6%) | 44 (53.0%) | 0.954 |
| | 85 (47.2%) | 46 (47.4%) | 39 (47.0%) | |
| | ||||
| | 49 (27.2%) | 20 (20.6%) | 29 (34.9%) | 0.031* |
| | 131 (72.8%) | 77 (79.4%) | 54 (65.1%) | |
| | ||||
| | 60 (33.3%) | 26 (26.8%) | 34 (41.0%) | 0.045* |
| | 120 (66.7%) | 71 (73.2%) | 49 (59.0%) | |
| | 13.3 ± 4.8 | 14.0 ± 4.8 | 12.6 ± 4.7 | 0.046* |
| | 6.4 ± 1.8 | 6.4 ± 1.8 | 6.3 ± 1.8 | 0.799 |
Values are presented as mean ± standard deviation, or number (percentage) as appropriate. *P < 0.05, statistical significance
Risk factors of perioperative hypoalbuminemia in hip fracture patients aged 90 and over analyzed by multivariable logistic regression
| Variables | Wald z value | OR (95% CI) | |
|---|---|---|---|
| 4.265 | 0.476 (0.235–0.963) | 0.039 | |
| 4.166 | 0.387 (0.155–0.963) | 0.041 | |
| 4.013 | 3.765 (1.029–13.777) | 0.045 | |
| 0.533 | 0.741 (0.332–1.655) | 0.465 | |
| 0.012 | 0.956 (0.433–2.112) | 0.912 | |
| 2.459 | 1.813(0.862–3.812) | 0.117 | |
| 2.431 | 2.972 (0.756–11.685) | 0.119 | |
| 2.454 | 0.531 (0.240–1.173) | 0.117 |
Risk factors of perioperative electrolyte disturbance in hip fracture patients aged 90 and over analyzed by multivariable logistic regression
| Variables | Wald z value | OR (95% CI) | |
|---|---|---|---|
| 5.952 | 0.428 (0.216–0.846) | 0.016 | |
| 5.943 | 0.330 (0.136–0.805) | 0.013 | |
| 7.124 | 0.286 (0.114–0.717) | 0.010 | |
| 0.229 | 0.812 (0.346–1.906) | 0.949 | |
| 1.337 | 1.578 (0.728–3.421) | 0.211 | |
| 1.958 | 1.767 (0.796–3.920) | 0.849 | |
| 0.143 | 0.812 (0.275–2.392) | 0.705 | |
| 5.169 | 2.381(1.127–5.031) | 0.031 |
Cox proportional hazards regression model for overall survival
| Characteristics | Univariable analysis | Multivariable analysis | ||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| | Reference | 0.133 | Reference | 0.463 |
| | 0.638 (0.355–1.146) | 0.798 (0.438–1.457) | ||
| | Reference | 0.562 | Reference | 0.728 |
| | 1.238 (0.601–2.548) | 1.139 (0.549–2.362) | ||
| | Reference | 0.018* | Reference | 0.030* |
| | 1.976 (1.125–3.469) | 1.940 (1.067–3.525) | ||
| | Reference | 0.035* | Reference | 0.024* |
| | 2.060(1.053–4.029) | 2.281 (1.113–4.678) | ||
| | Reference | 0.148 | Reference | 0.193 |
| | 0.657 (0.371–1.162) | 0.660 (0.353–1.233) | ||
| Reference | 0.018* | Reference | 0.007* | |
| 0.487 (0.268–0.883) | 0.430 (0.233–0.791) | |||
| | Reference | 0.487 | Reference | 0.749 |
| | 0.696 (0.250–1.934) | 0.839 (0.287–2.453) | ||
| | Reference | 0.558 | Reference | 0.530 |
| | 1.183 (0.674–2.075) | 1.200 (0.679–2.119) | ||
| | Reference | 0.353 | Reference | 0.602 |
| | 1311(0.740–2.323) | 0.843 (0.442–1.605) | ||
Notes: *P < 0.05, statistical significance. ASA American Society of Anesthesiologists, mECM modified Elixhauser’s Comorbidity Measure