Risk factors for long-term care after hemiplegia from cancer-related brain surgery: a pilot study for new prediction model.

BACKGROUND: Hemiplegia is a worldwide-represented neurological condition leading to long-term disability. The most common cause of hemiplegia is stroke; 25% to 50% of stroke survivors require some assistance after hospital discharge; approximately half of them become dependent, while only 14% achieve full recovery of activities of daily living (ADL). Cancer and cancer-related surgery are other causes of hemiplegia and rehabilitation in cancer patients has been recognized as important factor in order to help maintaining quality of life as long as possible. Many studies have been done in order to assess a reliable prediction about outcome of hemiplegia from stroke, but outcome prediction for cancer-related hemiplegia still remains a challenge and no clinical prediction tool has been developed being better than physician's informal prediction. AIM: Aim of this pilot study was: a) to detect risk factors associated with need for long-term care for patients suffering from hemiplegia due to cancer-related brain surgery, b) to build an algorithm-based model from detected risk factors in order to predict the need for long-term care after rehabilitation 3) to assess the feasibility of a subsequent study on a larger sample of subjects, in order to validate of the model. The subsequent study will be considered feasible if the model developed by the pilot study will be able to correctly predict more than 85% of patients needing or not long-term care after rehabilitation. DESIGN: Observational retrospective study. SETTING: Neurorehabilitation Unit. POPULATION: Inpatients affected by hemiplegia due to cancer-related surgery. METHODS: The observational retrospective study involved 158 subjects affected by hemiplegia due to cancer-related brain surgery. All of the subjects underwent rehabilitation therapy, while radio /chemotherapy was administered if needed. Stroke prognostic factors and other clinical variables were recorded for all subjects. The endpoint variable was Functional Independence Measure (FIM®) Score at discharge after rehabilitation. Variables were then associated with patient's FIM Score <61 at discharge after rehabilitation, as predictor of long-term care at home. RESULTS: After statistical evaluation, age, comorbidity Charlson Index >3, complete absence of motricity of the affected limbs, hypoesthesia, trunk-control deficit, dysphagia, language disorder, urinary or fecal incontinence were found to be risk factors for FIM Score <61 at discharge. From detected factors an algorithm-based model was built in order to estimate patient's overall probability to need or not an intensive long-term care after rehabilitation. CONCLUSIONS: The model developed by the pilot study allowed correct positive or negative prediction for long-term care need after rehabilitation for 90.6% of the patients suffering from cancer-related hemiplegia. A subsequent study on a larger sample of subjects resulted therefore feasible because overall correct prediction was higher than 85%. CLINICAL REHABILITATION IMPACT: Risk factors for intensive care at home (complete absence of motricity of affected limbs, trunk control deficit, fecal incontinence, dysphagia and comorbidity Charlson Index >3) can be useful to evaluate patients suffering from hemiplegia due to cancer-related brain surgery, at admission into Rehabilitation Unit. The algorithm-based model seems to be a promising tool to estimate the probability of intensive home care for that type of hemiplegic patients.

Monitoring iliopsoas muscle contraction in idiopathic lumbar scoliosis patients.

BACKGROUND: Curve evolution in idiopathic scoliosis frequently occurs in lumbar and thoracic-lumbar spine. The spinal and iliopsoas muscles play a major role in maintaining the static and dynamic stability of the spine. OBJECTIVE: To monitor by video recording, the degree to which asymmetric isometric contractions of the iliopsoas muscle improve the lumbar curve. DESIGN: 10 subjects (9 female, 1 male), mean age of 14.1 years (11-18), who were undergoing rehabilitation for idiopathic scoliosis. 8 subjects wore a brace, 6 had a single lumbar curve, 4 had a thoracic curve; 9 curves were convex to the left and 1 convex to the right. The mean Cobb angle was 20.1 degrees ±8.2523) with a mean degree of rotation of 1.2 (±0.4216). METHOD: The scoliotic curves were monitored on video whilst the patients performed muscle contraction exercises. Adhesive markers were applied to the skin to be used as reference points of the curve on video. Subjects performed the exercises in a sitting position, facing away from the video camera, with their knees bent at an angle of 90 degrees. The complete exercise procedure was as follows: initial lengthening of the spine and postural control, concentric activation of the iliopsoas, isometric activation for about 3 seconds, then final release. Differences in curvature angle detected on the video recording were analysed and processed using the computer software Dartfish Pro Suite 5.0_Dartfish LTD_Switzerland. RESULTS: The mean angle of correction through exercise was 6.9 degrees (±3.6) during concentric activation and 4.9 degrees (±3.5) during isometric activation of the iliopsoas. CONCLUSIONS: Data show the corrective effect that iliopsoas muscle contraction produces on the scoliotic curve.

Identification of risk factors for fatigue and pain when performing surgical interventions.

OBJECTIVE: Evaluation of fatigue and pain following surgical activities. METHODS: Cross-sectional study. We distributed a self-evaluation questionnaire to 180 surgeons to investigate working postures and fatigue and/or pain following working activities. RESULTS: 100 surgeons replied (74 male), mean age 40.1 (SD 10.85; 26-65). Multivariate analysis suggests that the highest risk factor for developing muscle fatigue whilst performing surgical operations is standing compared to sitting (OR: 4.92; 95% CI: 1.32-18.33),followed by the ability to alternate between the two postures (OR: 3.46: 95% CI: 1.26-9.52). Surgeons who complain of intense fatigue when standing have 16 times the risk of developing musculoskeletal pain than surgeons who complain of light fatigue when standing (OR: 15.77; 95% CI: 1.51-164.37). The ability to adjust the height of the operating table before each operation reduces the risk of developing musculoskeletal pain by 83% (OR: 017; 95% CI: 0.03-0.87); 90.9% of surgeons who rest their forearms for less than half the duration of an operation reported pain. CONCLUSIONS: Fatigue and pain associated with performing surgical interventions could be managed more effectively by: controlling the working posture, being able to rest forearms, being able to regulate the height of the operating table, and possibly by applying the ergonomic guidelines.