| Literature DB >> 27531014 |
E Angenete1, U Angerås2, M Börjesson3,4, J Ekelund2, M Gellerstedt5, T Thorsteinsdottir6, G Steineck7,8, E Haglind2.
Abstract
BACKGROUND: Studies have reported that early physical rehabilitation after surgical procedures is associated with improved outcome measured as shorter hospital stay and enhanced recovery. The aim of this study was to explore the relationship between the preoperative physical activity level and subsequent postoperative complications, sick-leave and hospital stay after radical prostatectomy for prostate cancer in the setting of the LAPPRO trial (LAParoscopic Prostatectomy Robot Open).Entities:
Keywords: Physical fitness; Prostatectomy; Prostatic neoplasm
Mesh:
Year: 2016 PMID: 27531014 PMCID: PMC4986175 DOI: 10.1186/s12894-016-0168-0
Source DB: PubMed Journal: BMC Urol ISSN: 1471-2490 Impact factor: 2.264
Fig. 1Flow-chart
Outcomes
| Sometimes (1-2 times a week) ( | Often (3-4 times a week) ( | Daily or almost daily (5-7 times a week) ( |
| Missing | |
|---|---|---|---|---|---|
| Median length of post-op stay (days) | 3 (1-18) | 3 (2-15) | 3 (1-8) |
| 130 (8.9 %) |
| Number of patients reporting no sick-leave or sick-leave less than one week | 36 (6.3 %) | 41 (9.2 %) | 51 (13 %) |
| 56 (3.8 %) |
| Feel fully recovered < 4 weeks postoperatively (%) | 85 (14.9 %) | 74 (16.9 %) | 67 (17.5 %) |
| 56 (3.8 %) |
| Still not recovered at 3 months | 76 (13.4 %) | 53 (12.1 %) | 42 (10.9 %) |
| 56 (3.8 %) |
| Any complication | |||||
| Infectiona | 118 (20.6 %) | 93 (21.0 %) | 73 (18.6 %) |
| 60 (4.1 %) |
| Cardiovascularb | 28 (5.0 %) | 22 (5.0 %) | 21 (5.4 %) |
| 70 (4.8 %) |
| Surgicalc | 105 (18.5 %) | 88 (20.0 %) | 66 (16.8 %) |
| 64 (4.4.%) |
| Gastrointestinald | 72 (12.7 %) | 56 (12.7 %) | 47 (12.0 %) |
| 64 (4.4 %) |
| Psychologicale | 80 (14.2 %) | 47 (10.8 %) | 57 (14.7 %) |
| 78 (5.3 %) |
| Self assessment of current health status (median with range in parenthesis) | 80 (5-100) | 80 (19-100) | 85 (19-100) |
| 70 (4.7 %) |
Postoperative stay, sick leave, evaluation of recovery and complications at 6-12 weeks postoperatively
Unless otherwise stated data are given as number with percentages or range in parenthesis. aOn a scale from 0-100. n.s. denotes not statistically significant. Postoperative stay was compared between groups using Kruskal-Wallis test. Categorical data were compared between groups using χ2-tests, trends across groups were evaluated using Jonckheere-Terpstra’s test. Two sided p-values ≤0.05 were considered statistically significant. *Jonckheere-Terpstra’s trend test. **Kruskall-Wallis test. aInfection in the operating wound, pneumonia or urinary tract infection. Number of patients in the analysis: 1407 b Pulmonary embolism, hypertension, acute myocardial infarction, arrhythmia or other heart diseases, deep venous thrombosis, stroke. Number of patients in the analysis: 1397. cPain in the operating wound, pain in the lower abdomen, pain in the upper abdomen, bleeding from the operating wound, bleeding from the urinary tract, inguinal hernia. Number of patients in the analysis: 1403. dNausea, impaired appetite, loose or frequent stools, constipation. Number of patients in the analysis: 1403. eDepressed mood, worry. Number of patients in the analysis: 1389
Demography. Men operated with open or robot-assisted laparoscopic prostatectomy between 2008-2011 age ≤ 65 years old at 14 centers in Sweden. Divided into the four different categories of physical activitya
| Never | Sometimes | Often (3-4 times a week) ( | Daily or almost daily (5-7 times a week) ( |
| Missing | |
|---|---|---|---|---|---|---|
| ( | (1-2 times a week) ( | |||||
| Type of surgery |
| 2 (0.1 %) | ||||
| Open | 27 (26.5 %) | 151 (25.3 %) | 107 (23.0 %) | 112 (27.8 %) | ||
| Robot-assisted | 75 (73.5 %) | 446 (74.6 %) | 358 (76.8 %) | 291 (72.2 %) | ||
| Preoperative characteristics | ||||||
| Age, median | 58 (37-64) | 59 (39-64) | 59 (39-64) | 59 (39-64) |
| 2 (0.1 %) |
| Level of Education | 0 = 0.001 | 0 (0 %) | ||||
| University | 35 (34.3 %) | 222 (37.1 %) | 222 (47.6 %) | 187 (46.4 %) | ||
| Vocational school | 13 (12.7 %) | 73 (12.2 %) | 48 (10.3 %) | 32 (7.9 %) | ||
| Secondary school | 29 (28.4 %) | 210 (35.1 %) | 144 (30.9 %) | 129 (32 %) | ||
| Elementary school | 24 (23.5 %) | 91 (15.2 %) | 47 (10.1 %) | 52 (12.9 %) | ||
| Other | 1 (1 %) | 2 (0.3 %) | 5 (1.1 %) | 3 (0.7 %) | ||
| BMI, median | 27.1 (19-38) | 26.3 (19-40) | 26.2 (19-41) | 25.7 (19-54) |
| 0 (0 %) |
| Smoking |
| 13 (0.8 %) | ||||
| Non-smoker | 38 (37.3) | 237 (39.6 %) | 230 (49.4 %) | 171 (42.4 %) | ||
| Former smoker | 42 (41.2 %) | 278 (46.5 %) | 200 (42.9 %) | 204 (50.6 %) | ||
| Current smoker | 15 (14.7 %) | 56 (9 %) | 30 (6.4 %) | 19 (4.7 %) | ||
| Current snuff user | 16 (15.7 %) | 93 (15.6 %) | 71 (15.2 %) | 63 (15.6 %) |
| 11 (0.7 %) |
| High alcohol consumptionb | 3 (2.9 %) | 6 (1 %) | 2 (0.4 %) | 4 (1 %) |
| 17 (1.1 %) |
| American Society of Anaesthesiology (ASA) classification |
| 41 (2.6 %) | ||||
| I | 67 (65.7 %) | 421 (70.4 %) | 336 (72.1 %) | 295 (73.2 %) | ||
| II | 32 (31.4 %) | 154 (25.8 %) | 109 (23.4 %) | 99 (24.6 %) | ||
| III | 2 (2.0 %) | 3 (0.5 %) | 6 (1.3 %) | 1 (0.2 %) | ||
| Gleason score |
| 105 (6.7 %) | ||||
| < 7 | 54 (52.9 %) | 314 (52.5 %) | 245 (52.6 %) | 198 (49.1 %) | ||
| ≥ 7 | 42 (41.2 %) | 238 (39.8 %) | 192 (41.2 %) | 173 (42.9 %) | ||
| Stroke | 1 (1 %) | 2 (0.3 %) | 1 (0.2 %) | 2 (0.5 %) |
| 10 (0.6 %) |
| Thromboembolic disease | 1 (1 %) | 8 (1.3 %) | 6 (1.3 %) | 5 (1.2 %) |
| 12 (0.8 %) |
| Neurologic disease | 3 (2.9 %) | 5 (0.8 %) | 2 (0.4 %) | 6 (1.5 %) |
| 11 (0.7 %) |
| Diabetes | 4 (3.9 %) | 28 (4.7 %) | 20 (4.3 %) | 17 (4.2 %) |
| 13 (0.8 %) |
| Hypertension | 33 (32.4 %) | 182 (30.4 %) | 121 (26 %) | 118 (29.3 %) |
| 11 (0.7 %) |
| Diagnosed depression | 3 (2.9 %) | 15 (2.5 %) | 11 (2.4 %) | 5 (1.2 %) |
| 16 (1.0 %) |
| Angina pectoris | 0 (0 %) | 9 (1.5 %) | 7 (1.5 %) | 3 (0.7 %) |
| 11 (0.7 %) |
| Long-term pain, unspecified | 12 (11.8 %) | 48 (8.0 %) | 33 (7.1 %) | 24 (6 %) |
| 15 (1 %) |
| Low or moderate subjective quality of lifec | 62 (60.8 %) | 314 (52.8 %) | 217 (46.6 %) | 174 (43.3 %) |
| 4 (0.3 %) |
| Low or moderate physical well-beingc | 59 (58.4 %) | 281 (47.2 %) | 168 (36.1 %) | 126 (31.5 %) |
| 7 (0.4 %) |
| Low or moderate psychological well-beingc | 60 (59.4 %) | 333 (56.0 %) | 227 (48.7) | 177 (44.1 %) |
| 6 (0.4 %) |
| Decreased general physical capacityc | 67 (65.7 %) | 264 (44.4 %) | 164 (35.2 %) | 126 (31.3 %) |
| 4 (0.3 %%) |
| Self assessment of current health status (median with range in parenthesis)d | 80 (30-100) | 83 (10-100) | 85 (15-100) | 90 (30-100) |
| 27 (1.7 %) |
aUnless otherwise stated data is given as number with percentages or range in parenthesis. b Risk consumption of alcohol is defined as more than 15 glasses/week. cThe lowest five of seven possible categories. dOn a scale from 0-100. Categorical data were compared between groups using chi-square-tests, trends across groups were evaluated using Jonckheere-Terpstra’s test. Two sided p-values ≤0.05 were considered statistically significant
Unadjusted and adjusted analysis of the relationship between physical activity and sick leave
| Unadjusted OR (95 % CI) |
| Adjusted OR (95 % CI)a |
| |
|---|---|---|---|---|
| Sometimes (1-2 times a week) versus Often (3-4 times a week) | 0.66 (0.41-1.05) |
| 0.73 (0.45-1.20) |
|
| Sometimes (1-2 times a week) versus Daily or almost daily (5-7 times a week) | 0.45 (0.29-0.70) |
| 0.49 (0.30-0.78) |
|
| Often (3-4 times a week) versus Daily or almost daily (5-7 times a week) | 0.68 (0.44-1.06) |
| 0.66 (0.42-1.05) |
|
aAdjusted for possible confounders using multivariable logistic regression models both with logit-link and log-link functions. Factors being significant at the five percent level in univariable analyses were all included in the base multivariable model; other factors were entered one at the time in order to evaluate their effect on the association between level of physical activity and sick leave. Adjusted for educational level, age, ASA-classification, alcohol consumption, smoking, BMI and surgical technique