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1.
Medicina (Kaunas) ; 58(11)2022 Oct 27.
Article in English | MEDLINE | ID: mdl-36363493

ABSTRACT

Background and Objectives: To assess the effect of continuous cold flow (CCF) therapy on pain reduction, opioid consumption, fast recovery, less perioperative bleeding and patient satisfaction in patients undergoing a total knee arthroplasty. Materials and Methods: Patients affected by knee osteoarthritis between September 2020 and February 2022 were enrolled in this case-control study. Patients were randomly divided into two groups (n = 50, each): the study group received postoperative CCF therapy while the control group was treated by cold pack (gel ice). The CCF device is a computer-assisted therapy with continuous cold fluid, allowing a selective distribution, constant and uniform, of cold or hot on the areas to be treated. In both groups, pre- and postoperative evaluations at 6, 24, 72 h and at the fifth day were conducted using Visual Analogic Scale (VAS), opioid consumption, passive range of motion, preoperative hematocrit, total blood loss by Gross formula, transfusion requirement and patient satisfaction questionnaire. Results: One hundred patients, 52 women (52%), were included in the study. Reduction of pain, opioid consumption and increase in passive range of movement were statistically significantly demonstrated in the study group on the first and third days. Patients were satisfied with adequate postoperative pain management due to CCF therapy (p = 0.01) and they would recommend this treatment to others (p = 0.01). Conclusions: A continuous cold flow device in the acute postoperative setting after total knee arthroplasty is associated with pain reduction and improving early movement. Patients were almost satisfied with the procedure. The management of perioperative pain control could improve participation in the early rehabilitation program as demonstrated by the increase in ROM, psychological satisfaction and reduction in opioid use.


Subject(s)
Arthroplasty, Replacement, Knee , Humans , Female , Arthroplasty, Replacement, Knee/adverse effects , Arthroplasty, Replacement, Knee/rehabilitation , Analgesics, Opioid/therapeutic use , Pain, Postoperative/drug therapy , Range of Motion, Articular , Case-Control Studies , Treatment Outcome
2.
Int Orthop ; 43(1): 193-200, 2019 01.
Article in English | MEDLINE | ID: mdl-30488127

ABSTRACT

INTRODUCTION: Femoral shaft fractures with third fragments have a high non-union rate, which may reach 14%. This study aims to assess the impact of the radiological features of the third fragment, evaluated on post-operative X-rays, on the outcome of femoral shaft fractures type 32-B managed with intramedullary nailing, in order to obtain an algorithm which could predict the fracture healing time. MATERIALS AND METHODS: We have retrospectively evaluated a series of 52 patients. On post-operative X-rays, four radiological parameters were evaluated: the third fragment angle, the fracture gap, the third fragment size, and the mean third fragment displacement. All the patients underwent a radiologic follow-up at one, two, three, six, nine and 12 months post-operatively, to assess the bone healing. The patients were then divided into three groups, according to the fracture healing time: within six months (group A), between six and 12 months (group B), or fracture non-union after 12 months (group C). RESULTS: In 28 patients, out of 52 (53.85%), the fracture healing was observed at 6-month follow-up; in 18 patients, out of 52 (34.62%), the fracture healed within 12 months after trauma; and in six patients, out of 52 (11.54%), no fracture healing was observed at 12-month follow-up. The mean third fragment size was significantly different in each group (p < 0.05), while the mean third fragment displacement was significantly higher in group C, compared with group A (p = 0.0006) and group B (p = 0.0027). In group B, a positive correlation was found between the fracture healing time and the mean third fragment size (R = 0.594, p = 0.036); in group C, the fracture union time was positively related to the third fragment size (R = 0.689, p = 0.013) and the mean third fragment displacement (R = 0.7107, p = 0.006). Regression analysis showed that the third fragment size and the mean third fragment displacement are the most important features which affect the fracture healing time. CONCLUSIONS: The third fragment size (cutoff 40 mm) is the leading parameter to influence the fracture healing within or in more than six months. The mean third fragment displacement (cutoff 12 mm); on the other hand, impacts on the fracture delayed rather than absent healing.


Subject(s)
Femoral Fractures/diagnostic imaging , Femur/diagnostic imaging , Fracture Fixation, Intramedullary , Fracture Healing , Fractures, Ununited/diagnostic imaging , Adult , Aged , Algorithms , Bone Nails , Diaphyses/diagnostic imaging , Diaphyses/physiopathology , Diaphyses/surgery , Female , Femoral Fractures/physiopathology , Femoral Fractures/surgery , Femur/physiopathology , Femur/surgery , Fractures, Ununited/physiopathology , Humans , Male , Middle Aged , Retrospective Studies , Risk Assessment , Treatment Outcome , Young Adult
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