Robert J. Smolinski

Muscle function and gait in patients with knee osteoarthritis before and after muscle rehabilitation.

Patients with knee osteoarthritis (OA) have reduced functional capacity and muscle function that improves significantly after quantitative progressive exercise rehabilitation (QPER). The effects of these changes on the biomechanics of walking have not been quantified. Our goal was to quantify the effects of knee OA on gait before and after QPER. Bilateral kinematic and kinetic analyses were performed using a standard link-segment analysis on seven women (60·9 ± 9·4 years) with knee OA. All functional capacity, muscle function and gait variables were initially reduced compared to age-matched controls. Muscle strength, endurance and contraction speed were significantly improved (55%, 42% and 34%, respectively) after 2 months of QPER (p < 0·05), as were function (13%), walking time (21%), difficulty (33%) and pain (13%). There were no significant changes in the gait variables after QPER. To use the QPER improvements to the best advantage, gait retraining may be necessary to ‘re-programme’ the locomotor pattern.

Current trends in anterior cruciate ligament reconstruction.

In 2006, a survey regarding anterior cruciate ligament (ACL) reconstruction was mailed to physician members of the American Orthopaedic Society for Sports Medicine. A total of 993 responses were received from 1747 possible respondents (57%). The number of ACL reconstructions per year ranged from 1 to 275 (mean=55). The most important factors in the timing of surgery were knee range of motion and effusion. Bone-patellar tendon-bone (BPTB) autograft was most commonly preferred (46%), followed by hamstring tendon autograft (32%) and allografts (22%). Five years earlier, BPTB grafts were more frequent and hamstring tendon and allografts were less frequent (63%, 25%, and 12%, respectively). A single-incision arthroscopic technique was used by 90%. Most allowed return to full activity at 5 to 6 months, with a trend toward earlier return for BPTB grafts; quadriceps strength was an important factor in the decision. There was limited experience (4%) with double-bundle and computer-assisted ACL reconstruction. Arthroscopic-assisted, single-incision reconstruction using a BPTB autograft fixed with metal interference screws remains the most common technique used for primary ACL reconstruction. In the past 5 years, the use of alternative graft sources and methods of fixation has increased. Consensus regarding the best graft type, fixation method, and postoperative protocol is still lacking.

Prospective Evaluation of the Ottawa Ankle Rules in a University Sports Medicine Center With a Modification to Increase Specificity for Identifying Malleolar Fractures

In a sports medicine center, we prospectively evaluated the Ottawa Ankle Rules over 1 year for their ability to identify clinically significant ankle and midfoot fractures and to reduce the need for radiography. We also developed a modification to improve specificity for malleolar fracture identification. Patients with acute ankle injuries ( 10 days old) had the rules applied and then had radiographs taken. Sensitivity, specificity, and the potential reduction in the use of radiography were calculated for the Ottawa Ankle Rules in 132 patients and for the new “Buffalo” rule in 78 of these patients. There were 11 clinically significant fractures (fracture rate, 8.3% per year). In these 132 patients, the Ottawa Ankle Rules would have reduced the need for radiography by 34%, without any fractures being missed (sensitivity 100%, specificity 37%). In 78 patients, the specificity for malleolar fracture for the new rule was significantly greater than that of the Ottawa Ankle Rules malleolar rule (59% versus 42%), sensitivity remained 100%, and the potential reduction in the need for radiography (54%) was significantly greater. The Ottawa Ankle Rules could significantly reduce the need for radiography in patients with acute ankle and midfoot injuries in this setting without missing clinically significant fractures. The Buffalo modification could improve specificity for malleolar fractures without sacrificing sensitivity and could significantly reduce the need for radiography.

Accuracy of a Computer-Based Diagnostic Program for Ambulatory Patients With Knee Pain

Background: Looking up information regarding a medical condition is the third most popular activity online, and there are a variety of web-based symptom-checking programs available to the patient. However, the authors are not aware of any that have been scientifically evaluated as an accurate measure for the cause of one’s knee pain. Purpose/Hypothesis: The purpose of this study was to design and evaluate an Internet-based program that generates a differential diagnosis based on a history of knee pain entered by the patient. The hypothesis was that the program would accurately generate a differential diagnosis for patients presenting with knee pain. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: A web-based program was created to collect knee pain history and generate a differential diagnosis for ambulatory patients with knee pain. The program selected from 26 common knee diagnoses. A total of 527 consecutive patients aged ≥18 years, who presented with a knee complaint to 7 different board-certified orthopaedic surgeons during a 3-month period, were asked to complete the questionnaire in the program. Upon completion, patients were examined by a board-certified orthopaedic surgeon. Both the patient and physician were blinded to the differential diagnosis generated by the program. A third party was responsible for comparing the diagnosis(es) generated by the program with that determined by the physician. The level of matching between diagnoses determined the accuracy of the program. Results: A total of 272 male and 255 female patients, with an average age of 47 years (range, 18-84 years), participated in the study. The median number of diagnoses generated by the program was 4.8 (range, 1-10), with this list containing the physician’s diagnosis(es) 89% of the time. The specificity was 27%. Conclusion: Despite a low specificity, the results of this study show the program to be an accurate method for generating a differential diagnosis for knee pain.

How Accurate Are Patients at Diagnosing the Cause of Their Knee Pain With the Help of a Web-based Symptom Checker?

Background: Researching medical information is the third most popular activity online, and there are a variety of web-based symptom checker programs available. Purpose: This study evaluated a patient’s ability to self-diagnose their knee pain from a list of possible diagnoses supplied by an accurate symptom checker. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: All patients older than 18 years who presented to the office of 7 different fellowship-trained sports medicine surgeons over an 8-month period with a complaint of knee pain were asked to participate. A web-based symptom checker for knee pain was used; the program has a reported accuracy of 89%. The symptom checker generates a list of potential diagnoses after patients enter symptoms and links each diagnosis to informative content. After exploring the informative content, patients selected all diagnoses they felt could explain their symptoms. Each patient was later examined by a physician who was blinded to the differential generated by the program as well as the patient-selected diagnoses. A blinded third party compared the diagnoses generated by the program with those selected by the patient as well as the diagnoses determined by the physician. The level of matching between the patient-selected diagnoses and the physician’s diagnoses determined the patient’s ability to correctly diagnose their knee pain. Results: There were 163 male and 165 female patients, with a mean age of 48 years (range, 18-76 years). The program generated a mean 6.6 diagnoses (range, 2-15) per patient. Each patient had a mean 1.7 physician diagnoses (range, 1-4). Patients selected a mean 2 diagnoses (range, 1-9). The patient-selected diagnosis matched the physician’s diagnosis 58% of the time. Conclusion: With the aid of an accurate symptom checker, patients were able to correctly identify the cause of their knee pain 58% of the time.