Objective To evaluate the cl inical results of the femoral reconstruction technique in patients with proximal femoral deformity in total hip arthroplasty. Methods Between March 2004 and June 2009, total hip arthroplasty procedures were performed on 25 patients (26 hips) with hip joint disease and proximal femoral deformity, including primary osteoarthritis of the hip joint (2 hips), developmental dysplasia of the hip (8 hips), traumatic arthritis of the hip (14 hips), and tuberculosus arthritis of the hip (2 hips). There were 10 males (10 hips) and 15 females (16 hips), with an average age of 64 years (range, 42-82 years). The disease duration was 10 months to 25 years (mean, 10.6 years). The Harris score was 44.2 ± 5.1, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score was 45.0 ± 2.7 before operation. According to Berry’s classification system of primary disease, 8 hips were classified as developmental dysplasia of hip, 7 hips as malunion of fracture, 2 hips as chronic tuberculosis, 2 hips as sl ipped femoral epiphysis, 1 hip as previous subtrochanteric osteotomy, 1 hip as previous shelf operation of the acetabulum, and 5 hips as previous internal fixation; according to the anatomic site of the deformity, there were 5 hips of greater trochanter, 10 hips of femoral neck level, 10 hips of metaphyseal level, and 1 hip of diaphysis. Results All wounds healed by first intention. Deep venous thrombosis occurred in 3 patients within 1 week, and were cured with braking and anticoagulant therapy. Bursal synovitis of great trochanter occurred in 1 patient after 6 weeks, and was eased after taking drugs for pain rel ief. All patients were followed up 1 year and 6 months to 6 years, with an average of 3 years and 3 months. The Harris score and WOMAC score at last follow-up were 88.4 ± 3.6 and 82.0 ± 5.2 respectively, showing significant differences when compared with preoperative scores (P lt; 0.05). The X-ray films at last follow-up showed good location of prosthesis and no loosening expect 1 patient who had aseptic loosening and was given revision at 8 months postopera tively. Conclusion Proximal femoral deformity classification will contribute to the choice of prosthesis and surgical strategy,thus the good results of femoral reconstruction and cl inical results would be obtained.
Objective To analyze risk factors of malignancy in patients with small pulmonary nodules （diameter ≤2 cm） using univariate analysis and multivariate logistic regression，and establish a mathematical prediction model to estimatethe probability of malignancy. Methods Clinical data of 147 patients with small pulmonary nodules who underwentsurgical resection with definite postoperative pathological diagnosis from January 2005 to September 2012 in the 161st Central Hospital of PLA were retrospectively analyzed. There were 84 male and 63 female patients with their age of 31-78（56.2±10.1） years. Univariate analysis using Chi-square test or t test was performed to analyze risk factors including patientage，gender，symptoms，history and quantity of smoking，history of heavy drinking，history of tumor，tumor site，diameter，lobulation，spiculation，pleural indentation，ground-glass opacity，cavity，enlarged hilar and mediastinal lymph nodes.Independent predictors of malignancy were screened with multivariate logistic regression analysis. A mathematical predictionmodel was built to estimate the probability of malignancy and then examined. Results Univariate analysis showed that there was statistical difference in patient age（t=7.146，P＜0.001），heavy smoking history（χ2=6.169，P=0.013），nodule diameter（t=3.375，P=0.001），spiculation（χ2=5.609，P=0.018），lobulation（χ2=5.675，P=0.017），and pleural indentation（χ2=12.994，P＜0.001）between benign and malignant small pulmonary nodule groups. Multivariate logistic regression analysis showed that patient age （OR=1.110，P=0.000），nodule diameter （OR=2.050，P=0.029），lobulation （OR=1.672，P=0.045），spiculation（OR=2.054，P=0.032） and pleural indentation（OR=4.090，P=0.024）were independent predictors of malignancy in patients with small pulmonary nodules （P＜0.05） . The mathematical prediction model to estimate the probability of malignancy was：Logit （P） =ez/ （1 ＋ ez），Z=-6.657 ＋ （0.104×age） ＋ （0.718×diameter） ＋ （0.720×spiculation） ＋（0.514×lobulation） ＋ （1.409×pleural indentation），and e was natural logarithm. Both Hosmer-Lemeshow test （χ2=1.802，P=0.986） and maximum likelihood ratio test （Cox-Snell R2=0.310，Nagelkerke R2=0.443） showed satisfactory goodness of fit. The diagnostic accuracy was 85.71%，sensitivity was 87.50%，specificity was 81.40%，positive predictive value was 91.92%，and negative predictive value was 72.92% when the cut-off value was 0.58. Conclusions Patient age，nodule diameter，spiculation，lobulation and pleural indentation are independent predictors of malignancy in patients with small pulmonary nodules. The mathematical prediction model can accurately estimate the probability of malignancy for patients with small pulmonary nodules.